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In mathematics, Friedrichs's inequality is a theorem of functional analysis, due to Kurt Friedrichs. It places a bound on the Lp norm of a function using Lp bounds on the weak derivatives of the function and the geometry of the domain, and can be used to show that certain norms on Sobolev spaces are equivalent. Friedrichs's inequality generalizes the Poincaré–Wirtinger inequality, which deals with the case k = 1. Statement of the inequality
Let be a bounded subset of Euclidean space with diameter . Suppose that lies in the Sobolev space , i.e., and the trace of on the boundary is zero. Then
In the above
denotes the Lp norm;
α = (α1, ..., αn) is a multi-index with norm |α| = α1 + ... + αn;
Dαu is the mixed partial derivative
See also
Poincaré inequality
References
Sobolev spaces
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Archi is a Northeast Caucasian language spoken by the Archis in the village of Archib, southern Dagestan, Russia, and the six surrounding smaller villages. It is unusual for its many phonemes and for its contrast between several voiceless velar lateral fricatives, , voiceless and ejective velar lateral affricates, , and a voiced velar lateral fricative, . It is an ergative–absolutive language with four noun classes and has a remarkable morphological system with huge paradigms and irregularities on all levels. Mathematically, there are 1,502,839 possible forms that can be derived from a single verb root. Classification
The classification of the Archi language has not been definitively established. Peter von Uslar felt it should be considered a variant of Avar, but Roderich von Erckert saw it as closer to Lak. The language has also been considered as a separate entity that could be placed somewhere between Avar and Lak. The Italian linguist Alfredo Trombetti placed Archi within an Avar–Ando–Dido group, but today the most widely recognized opinion follows that of the Soviet scholar Bokarev, who regards Archi as one of the Lezgian–Samur group of the Dagestan languages. Schulze places it in the Lezgian branch with all other Lezgian languages belonging to the Samur group. Phonology
Archi has, like its Northeast Caucasian relatives, a very complicated phonological system, with Archi being an extreme example. It has 26 vowel phonemes and, depending on analysis, between 74 and 82 consonant phonemes. Vowels
Archi has a symmetric six-vowel system (). | [
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All except can occur in five varieties: short, pharyngealized, high tone, long (with high tone), and pharyngealized with high tone (e.g. , , , , and ). Of all these, only and do not occur word-initially. Examples of non-initial are ('to be fat') and ('brain'). Consonants
Of all known languages, Archi has the world's largest phonemic non-click consonant inventory, with only the recently extinct Ubykh of the Northwest Caucasian languages having a few more. The table below shows all consonants that can be found in the Archi Language Tutorial and the Archi Dictionary. Of the consonants listed above, the ones in orange have no word-initial dictionary entries (even though , , and are relatively common), the one in green does not appear in the Tutorial but does have a word-internal dictionary entry (in , 'alpine pasture used in summer'), and the ones in blue appear in the Tutorial but have no dictionary entries. Some of these sounds are very rare. For example, has only one dictionary entry word-internally (in , 'heavy') and two entries word-initially. Likewise, has only two dictionary entries: ('blue; unripe') and ('crooked, curved'). The fortis consonants are not simply two instances of the same consonant, though they do appear largely complementary, with the double instances , , and being the most common and less so. That said, can still be found in ('three'). | [
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This is also noted by , who describes the fortis consonants as follows:
"Strong phonemes are characterized by the intensiveness (tension) of the articulation. The intensity of the pronunciation leads to a natural lengthening of the duration of the sound, and that is why strong [consonants] differ from weak ones by greater length. [However,] the adjoining of two single weak sounds does not produce a strong one […] Thus, the gemination of a sound does not by itself create its tension." The voiceless velar lateral fricative , the voiced velar lateral fricative , and the corresponding voiceless and ejective affricates , are extremely unusual speech sounds among the languages of the world, because velar fricatives are usually central rather than lateral. The velar laterals are further forward than velars in most languages and could better be called prevelar, like the Tutorial does. Orthography
Until recently Archi did not have a written form, except in studies by specialists who used the Latin script. In 2006, the Surrey Morphology Group developed a Cyrillic alphabet for Archi based on the Avar alphabet, which is used in the Archi–Russian–English Dictionary alongside an IPA transcription. Grammar
Archi is 5 grammaticals: Noun class currently has been replaced. Nouns
Archi nouns inflect for number (singular or plural) and for one of 10 regular cases and 5 locative cases that can all take one of 6 directional suffixes. There are four noun classes, which are only evident from verbal agreement. Case
Depending on the specifics of the analysis, the ergative and the absolutive cases are not always marked by a specific suffix. | [
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] |
Rather, they are marked by the use of the basic (for the absolutive) and oblique (for the ergative) stems in the absence of other markers. There is also a locative-case series in which 6 directional-case suffixes are combined with 5 spatial cases to produce a total of 30 case-localization combinations. However, they do not constitute 30 distinct case forms because they are easily derivable from a pair of morphemes. Noun classes
The four noun classes of Archi are only evident from verbal inflection. This table summarizes the noun classes and their associated verbal morphology:
Example phrases
The following phrases were phonetically transcribed from Archi:
Diminutive
The inclusions of "little" and "young" in the phrases translate a diminutive, which in Archi language commonly refers either to a smaller or younger version of the subject. The non-diminutive nouns in the above examples belong to noun class III, while their diminutives belong to noun class IV. This difference in noun class is reflected on the verb in all of these examples, by the contrast between class III agreement in b from class IV in ∅ (with no b). The -b- in the past tense appears in front of the -x̄u / -č̣u / -ku inflection, while in the present tense the b- is the first letter of the verb. For the nouns referring to inanimate objects, the class shift is the only sign of the diminutive: the noun itself does not change in form. E.g. | [
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x́it means both "ladle" (III) and "spoon" (IV), k̂ut̄ali both "bag" (III) and "little bag" (IV). Nouns pertaining to younger animals have different words, e.g. dogi "donkey" (III) but ḳêrt "young donkey" (IV), nôiš "horse" (III) but uri "young horse" (IV). References
Bibliography
Bond, Oliver, Greville G. Corbett, Marina Chumakina & Dunstan Brown (eds.). 2016. Archi: Complexities of agreement in cross-theoretical perspective. Oxford: Oxford University Press. Further reading
External links
Appendix:Cyrillic script
Archi–Russian–English dictionary
Archi language tutorial
Archi Vocabulary List (from the World Loanword Database)
Archi basic lexicon at the Global Lexicostatistical Database
A sample of the Archi language, 'the Bear Story':
as a sound file
in written form
https://www.smg.surrey.ac.uk/languages/archi/ Archi language overview
Northeast Caucasian languages
Languages of Russia
Endangered Caucasian languages
Languages written in Cyrillic script | [
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Performance engineering encompasses the techniques applied during a systems development life cycle to ensure the non-functional requirements for performance (such as throughput, latency, or memory usage) will be met. It may be alternatively referred to as systems performance engineering within systems engineering, and software performance engineering or application performance engineering within software engineering. As the connection between application success and business success continues to gain recognition, particularly in the mobile space, application performance engineering has taken on a preventive and perfective role within the software development life cycle. As such, the term is typically used to describe the processes, people and technologies required to effectively test non-functional requirements, ensure adherence to service levels and optimize application performance prior to deployment. The term performance engineering encompasses more than just the software and supporting infrastructure, and as such the term performance engineering is preferable from a macro view. Adherence to the non-functional requirements is also validated post-deployment by monitoring the production systems. This is part of IT service management (see also ITIL). Performance engineering has become a separate discipline at a number of large corporations, with tasking separate but parallel to systems engineering. It is pervasive, involving people from multiple organizational units; but predominantly within the information technology organization. | [
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Performance engineering objectives
Increase business revenue by ensuring the system can process transactions within the requisite timeframe
Eliminate system failure requiring scrapping and writing off the system development effort due to performance objective failure
Eliminate late system deployment due to performance issues
Eliminate avoidable system rework due to performance issues
Eliminate avoidable system tuning efforts
Avoid additional and unnecessary hardware acquisition costs
Reduce increased software maintenance costs due to performance problems in production
Reduce increased software maintenance costs due to software impacted by ad hoc performance fixes
Reduce additional operational overhead for handling system issues due to performance problems
Identify future bottlenecks by simulation over prototype
Increase server capability
Performance engineering approach
Because this discipline is applied within multiple methodologies, the following activities will occur within differently specified phases. However, if the phases of the rational unified process (RUP) are used as a framework, then the activities will occur as follows:
During the first, Conceptual phase of a program or project, critical business processes are identified. Typically they are classified as critical based upon revenue value, cost savings, or other assigned business value. This classification is done by the business unit, not the IT organization. High level risks that may impact system performance are identified and described at this time. An example might be known performance risks for a particular vendor system. Finally, performance activities, roles and deliverables are identified for the Elaboration phase. Activities and resource loading are incorporated into the Elaboration phase project plans. Elaboration
During this defining phase, the critical business processes are decomposed to critical use cases. | [
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] |
Probe cases will be decomposed further, as needed, to single page (screen) transitions. These are the use cases that will be subjected to script driven performance testing. The type of requirements that relate to performance engineering are the non-functional requirements, or NFR. While a functional requirement relates to which business operations are to be performed, a performance related non-functional requirement will relate to how fast that business operation performs under defined circumstances. Construction
Early in this phase a number of performance tool related activities are required. These include:
Identify key development team members as subject matter experts for the selected tools. Specify a profiling tool for the development/component unit test environment. Specify an automated unit (component) performance test tool for the development/component unit test environment; this is used when no GUI yet exists to drive the components under development. Specify an automated tool for driving server-side unit (components) for the development/component unit test environment. Specify an automated multi-user capable script-driven end-to-end tool for the development/component unit test environment; this is used to execute screen-driven use cases. Identify a database test data load tool for the development/component unit test environment; this is required to ensure that the database optimizer chooses correct execution paths and to enable reinitializing and reloading the database as needed. Deploy the performance tools for the development team. Presentations and training must be given to development team members on the selected tools. The performance test team normally does not execute performance tests in the development environment, but rather in a specialized pre-deployment environment that is configured to be as close as possible to the planned production environment. | [
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This team will execute performance testing against test cases, validating that the critical use cases conform to the specified non-functional requirements. The team will execute load testing against a normally expected (median) load as well as a peak load. They will often run stress tests that will identify the system bottlenecks. The data gathered, and the analysis, will be fed back to the group that does performance tuning. Where necessary, the system will be tuned to bring nonconforming tests into conformance with the non-functional requirements. If performance engineering has been properly applied at each iteration and phase of the project to this point, hopefully this will be sufficient to enable the system to receive performance certification. However, if for some reason (perhaps proper performance engineering working practices were not applied) there are tests that cannot be tuned into compliance, then it will be necessary to return portions of the system to development for refactoring. In some cases the problem can be resolved with additional hardware, but adding more hardware leads quickly to diminishing returns. Transition
During this final phase the system is deployed to the production environment. A number of preparatory steps are required. These include:
Configuring the operating systems, network, servers (application, web, database, load balancer, etc. | [
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), and any message queueing software according to the base checklists and the optimizations identified in the performance test environment
Ensuring all performance monitoring software is deployed and configured
Running statistics on the database after the production data load is completed
Once the new system is deployed, ongoing operations pick up performance activities, including:
Validating that weekly and monthly performance reports indicate that critical use cases perform within the specified non functional requirement criteria
Where use cases are falling outside of NFR criteria, submit defects
Identify projected trends from monthly and quarterly reports, and on a quarterly basis, execute capacity planning management activities
Service management
In the operational domain (post production deployment) performance engineering focuses primarily within three areas: service level management, capacity management, and problem management. Service level management
In the service level management area, performance engineering is concerned with service level agreements and the associated systems monitoring that serves to validate service level compliance, detect problems, and identify trends. For example, when real user monitoring is deployed it is possible to ensure that user transactions are being executed in conformance with specified non-functional requirements. Transaction response time is logged in a database such that queries and reports can be run against the data. This permits trend analysis that can be useful for capacity management. When user transactions fall out of band, the events should generate alerts so that attention may be applied to the situation. Capacity management
For capacity management, performance engineering focuses on ensuring that the systems will remain within performance compliance. | [
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This means executing trend analysis on historical monitoring generated data, such that the future time of non compliance is predictable. For example, if a system is showing a trend of slowing transaction processing (which might be due to growing data set sizes, or increasing numbers of concurrent users, or other factors) then at some point the system will no longer meet the criteria specified within the service level agreements. Capacity management is charged with ensuring that additional capacity is added in advance of that point (additional CPUs, more memory, new database indexing, et cetera) so that the trend lines are reset and the system will remain within the specified performance range. Problem management
Within the problem management domain, the performance engineering practices are focused on resolving the root cause of performance related problems. These typically involve system tuning, changing operating system or device parameters, or even refactoring the application software to resolve poor performance due to poor design or bad coding practices. Monitoring
To ensure that there is proper feedback validating that the system meets the NFR specified performance metrics, any major system needs a monitoring subsystem. The planning, design, installation, configuration, and control of the monitoring subsystem are specified by an appropriately defined monitoring process. The benefits are as follows:
It is possible to establish service level agreements at the use case level. It is possible to turn on and turn off monitoring at periodic points or to support problem resolution. It enables the generation of regular reports. | [
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It enables the ability to track trends over time, such as the impact of increasing user loads and growing data sets on use case level performance. The trend analysis component of this cannot be undervalued. This functionality, properly implemented, will enable predicting when a given application undergoing gradually increasing user loads and growing data sets will exceed the specified non functional performance requirements for a given use case. This permits proper management budgeting, acquisition of, and deployment of the required resources to keep the system running within the parameters of the non functional performance requirements. See also
Java performance
Scalability
Software quality
Software testing
Web performance
References
Further reading
Database Performance Tuning Guide
Practical Performance Analyst - Performance Engineering Community & Body Of Knowledge
Performance Engineering Methodology
A Performance Engineering Strategy
A Performance Process Maturity Model
The Every Computer Performance Book
Exploring UML for Performance Engineering
Introduction to Modeling Based Performance Engineering
Leveraging ITIL to Improve Application Performance
Patterns & Practices Performance Engineering
Performance and Scalability of Distributed Software Architectures
Performance Engineering Best Practices (High Level)
Software Engineering and Performance: A Road-map
The Vicious Cycle of Computer Systems Performance and IT Operational Costs
Microsoft Windows Server Performance Team
Gathering Performance Requirements
Performance Testing Web Services: Strategies and Best Practices
Performance Evaluation of an Air Traffic Control System using the Application Response Measurement (ARM) Standard
Integration of Performance Management in ITIL
Information technology management
Software performance management
Software optimization | [
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Graphisoft SE is a Hungarian design software company headquartered in Budapest, Hungary. As a subsidiary of Nemetschek, Graphisoft develops Building Information Modeling software products for architects, interior designers and planners. Graphisoft has subsidiaries in Germany, United States, United Kingdom, Spain, Japan and representative offices in Russia and Singapore. The company's flagship product is ArchiCAD — an architectural design software developed since 1984 for Windows and Mac platforms. History
Foundation
In 1982, Graphisoft was established by Gábor Bojár. The Hungarian software developer created terrain modeling software on microcomputers while he was head of a mathematical department at the Geophysical Institute in Budapest. The communist history of Hungary was an important factor in the success of Graphisoft. When private companies had been allowed, Bojár promptly left his job and launched Graphisoft with a competent team. They were all experts in three-dimensional mathematical modeling, but had no access to the most modern and efficient computers. This limitation led to the development of 3D modeling software that could be used on low cost PCs. Then the team provided such software to architects. Since 1984, Graphisoft has been supported by Apple. Steve Jobs was impressed by Graphisoft’s capability and the development of the architectural CAD from Bojár in the 2D/3D technology. Therefore, he sent them an Apple computer. This made it possible to create ArchiCAD, the first desktop BIM system and Graphisoft's flagship product. | [
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Graphisoft's flagship product, ArchiCAD was introduced in 1987 as the Virtual Building concept, later (2003) regarded as building information modeling (BIM), and allowing architects to draw walls, windows, doors, slabs and roofs — a common feature now of every BIM-based architectural design software. Subsequent ArchiCAD releases introduced other BIM features such as Teamwork, which enabled more architects to work on the same building in parallel, edit functions in three-dimensional model views, and interoperability add-ons to communicate with other applications using IFC — now a de facto standard in data exchange between BIM applications. Graphisoft built a campus north of Budapest, the Graphisoft Park. The construction of the technology park began in 1998. Today, it includes the company‘s global headquarters and hosts several technology companies such as Microsoft, SAP and Canon. Graphisoft was introduced to the Frankfurt Stock Exchange in 1998 and the Budapest Stock Exchange in 2000, and was purchased by Nemetschek AG (Germany) in 2007. In 2013, Graphisoft signed a contract with Nikken Sekki, to create the BIM Competence & Research Center in order to advance BIM in Japan and Southeast Asia. In 2016, Graphisoft partnered with the company Atlas Cloud to provide a cloud-based access to ArchiCAD. In September 2018, the Graphisoft Park expanded by 20,000 square-meters in the cause of its 20th anniversary, lifting the park’s total area to 75,000sqm. The new buildings are rented to companies under lease. In addition, Graphisoft Park developed an advanced learning center, the Aquincum Institute of Technologie (AIT-Budapest). | [
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In April 2019, Graphisoft’s CEO Viktor Várkonyi started to manage the Planning and Design Division at Graphisoft’s mother company Nemetschek. Huw Roberts was appointed the new CEO of Graphisoft. In June 2019, Graphisoft entered a partnership with Epic Games to launch next-generation real-time rendering solution for its customers. Products
Graphisoft ArchiCAD
ArchiCAD is a complex architectural design tool offering 2D and 3D drafting, visualization and documentation functions for architects and planners to create three-dimensional designs and detailed technical documentation, thus enabling architects to use ArchiCAD from the earliest design phases to the technical detail drawings. As of 2019 ArchiCAD is in its 23rd generation. Graphisoft BIM Server
Graphisoft's second generation collaboration system lets more architects work on the same building simultaneously with ArchiCAD by allowing them to access and manage the building information model database over the Internet. Graphisoft BIM Server is shipped with ArchiCAD from version 13. Graphisoft MEP Modeler
Graphisoft MEP Modeler (Mechanical/Electrical/Plumbing) Modeler is an ArchiCAD extension for architects to incorporate duct work and piping into the architectural design. MEP Modeler allows architects to create, edit or import 3D MEP networks and coordinate them with the Building Information Model, facilitating the BIM workflow between engineers and architects. Graphisoft EcoDesigner
Graphisoft EcoDesigner helps architects to use virtual building information to evaluate energy performance, thus the sustainability of the building from the very first concept design. EcoDesigner allows architects to analyze their design for energy efficiency, providing feedback on the building's estimated energy performance. | [
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Graphisoft BIMx
BIMx, formerly marketed as Virtual Building Explorer is an interactive BIM model presentation tool, which allows the presentation of entire building models without the need for installing ArchiCAD or other BIM authoring tool. The software combines video game-like navigation with native BIM features, including measurement of real building dimensions. See also
Drawbase Software
References
Companies based in Budapest
Hungarian brands
Hungarian companies established in 1982
Societates Europaeae
Software companies established in 1982
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The Sackler Prize can indicate any of the following three awards established by Raymond Sackler and his wife Beverly Sackler. Sackler Prize in the Physical Sciences
The Raymond and Beverly Sackler International Prize in the Physical Sciences is a $40,000 prize in the disciplines of either physics or chemistry awarded by Tel Aviv University each year for young scientists who have made outstanding and fundamental contributions in their fields. There is an age limit for all nominees. Nominations for the Sackler Prize can be made by individuals in any of the following categories:
1) Faculty of Physics, Astronomy or Chemistry departments in institutions of higher learning worldwide. 2) Presidents, Rectors, vice-presidents, Provosts and Deans, of institutions of higher learning worldwide. 3) Directors of laboratories worldwide. 4) Sackler Prize laureates. For 2008, the age limit has been raised to 45 and the prize money to $50,000. Winners
Source: Chemistry - Tel Aviv University
Physics - Tel Aviv University
2000 prize for Physics (Theoretical High Energy Physics): Michael R. Douglas (Rutgers University) and Juan Martin Maldacena (Institute for Advanced Study, Princeton), for work "beyond the 1975 synthesis known as the 'Standard Model' and within the framework of (supersymmetrical) String or M-theory." 2001 prize for Chemistry (Physical Chemistry of Advanced Materials): Moungi B. Bawendi (MIT) and James R. Heath (UCLA) "for their seminal contributions to the discovery, development and fundamental and applied studies of nanoscale materials." | [
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2002 prize for Physics {Physics of Engineered Materials): Leo P. Kouwenhoven (Delft University of Technology) for the "understanding of electronic states and charge transport in sub-micron systems" and Ullrich Steiner (Cambridge University) "for innovative discoveries in the analysis and control of the structure." 2003 prize for Chemistry (Advanced Nanostructed Materials): Chad A. Mirkin (Northwestern University) and Xiaoliang Sunney Xie (Harvard University) "for their seminal contributions to the discovery, design, fabrication and characterization of nano-structure materials, including complex macromolecules and single molecules with biological significance." 2004 prize for Physics (Observational or Theoretical Astronomy and Astrophysics): Andrea M. Ghez (UCLA) "for her pioneering high-resolution infrared observations that provide evidence for, and establish the mass of, the supermassive blackhole in the center of the galaxy" and Adam G. Riess (Space Telescope Science Institute in Baltimore, Maryland) "for his contributions to the observational study of distant Type Ia supernovae that reveal the accelerating expansion of the universe and the possible existence of dark energy." 2005 prize for Chemistry {Theoretical Chemistry): Christoph Dellago (University of Vienna), Christopher Jarzynski (Los Alamos National Laboratory) and David Reichman (Columbia University), "for their ground-breaking developments in statistical mechanics and seminal contributions to the dynamics of disordered condensed matter." | [
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] |
2006 prize in Physics: Yuri Kovchegov (Ohio State University) for 'his work in quantum chromodynamics at very high energies and gluon densities' and Thomas Glasmacher (Michigan State University) for 'developing new sensitive methods of studying nuclear structure, utilizing Coulomb excitation with fast beams of rare isotopes'. 2007 for Chemistry (for Metals in Synthesis): Christopher C. Cummins (Massachusetts Institute of Technology) and John F. Hartwig (University of Illinois, Urbana-Champaign)
2008 prize for Physics (Physics Beyond the Standard Model in the LHC Era): Nima Arkani-Hamed (Institute for Advanced Study, Princeton) for 'his novel, deep and highly influential contributions to new paradigms for physics beyond the Standard Model at the TeV energy scale, especially the ideas of large extra dimensions and of the large hierarchy of strengths of fundamental forces in Nature, including gravity; supersymmetry model-building; theories of flavor and of neutrino masses; and models of the cosmological constant'
2009 prize for Chemistry (Total Synthesis of Biologically Active Natural Products): Phil S. Baran (Scripps Research Institute, Department of Chemistry, La Jolla) for 'his seminal contribution through a series of groundbreaking syntheses that demonstrated the advantages of the novel oxidative CC bond formation in terms of efficiency, practicality, stereocontrol and "redox-economy"' ; Matthew D. Shair (Harvard University} for 'his seminal contribution to the syntheses of complex natural products by using new cascade reactions to rapidly achieve molecular complexity' and Brian M. Stoltz (California Institute of Technology, Pasadena) for 'his seminal contribution through the development of enatioselective methods for oxidation and catalytic bond construction'. | [
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] |
2010 prize for Physics (Nano-Photonics and Nano-Plasmonics): Mark L. Brongersma (Geballe Laboratory of Advanced Materials, Stanford University) for 'outstanding experimental and theoretical research in nano-plasmonics and nano-photonics; in particular on the emission of light from nano-structures that support propagating surface plasmons' and Stefan A. Maier (Imperial College, London)for 'outstanding theoretical and experimental research in nano-plasmonics and nano-photonics; in particular on the propagation of surface plasmons-polaritons along a chain of metallic nano-particles'
2011 prize for Chemistry (Molecular Dynamics of Chemical Reactions): Gregory D. Scholes (University of Toronto) for 'his seminal contribution to the field of ultrafast spectroscopy' and Martin T. Zanni (University of Wisconsin-Madison) for 'his seminal contribution to the field of ultrafast spectroscopy'. 2012 prize for Physics (Study of Extra-solar Planets): David Charbonneau (Harvard University} for 'his breakthrough discoveries, including the first detections of transiting extra-solar planets and spectroscopic observations of their atmosphere' and Sara Seager (MIT) for 'her brilliant theoretical studies, including analysis of the atmospheres and internal compositions of extra-solar planets'. | [
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2013 prize for Chemistry (Functionalization of Carbon-Hydrogen Bonds in Organic Synthesis): Melanie S. Sanford (University of Michigan, Ann Arbor) and Jin-Quan Yu (The Scripps Research Institute, La Jolla) for 'their seminal contributions to the catalytic functionalization of carbon – hydrogen bonds'
2014 prize for Physics (Topological Phases in Condensed Matter): B. Andrei Bernevig (Princeton University) for 'his theoretical contribution towards a first realization of a two dimensional topological insulator' ; Liang Fu (MIT) for 'his contribution to generalization of the concept of topological insulators from two to three dimensions' and Xiao-Liang Qi (Stanford University) for 'his contribution to the prediction of the quantum anomalous Hall effect in magnetic topological insulators'
2016 prize for Chemistry (Magnetic Resonance): John Morton (London Centre for Nanotechnology) for 'his outstanding and imaginative applications of magnetic resonance to quantum information storage and processing'; Guido Pintacuda (Institute of Analytical Sciences (High-Field NMR Centre)) for 'his elegant methodological advances in solid state NMR spectroscopy' and Charalampos Babis Kalodimos (University of Minnesota) for 'detailed characterizations of structure, function and dynamics in a number of challenging and important biological systems through solution NMR spectroscopy'. 2017 prize for Biophysics (Mesoscopic physics of cellular phenomena): Tuomas Knowles (University of Cambridge) for 'elucidating physical principles of amyloid fibril formation with important applications in biology and medicine'. 2018 price for Physics (Quantum Field Theory): Zohar Komargodski (Weizmann Institute, Israel) and Pedro Vieira (Perimeter Institute, Canada) for 'their outstanding work probing QFT in non-perturbative regimes'. | [
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2019 prize for Chemistry: Christopher Chang (University of California, Berkeley), Jason Chin (University of Cambridge) and Matthew Disney (Scripps Research in Florida). Sackler Prize in Biophysics
The Raymond and Beverly Sackler International Prize in Biophysics is intended to encourage dedication to science, originality and excellence by rewarding outstanding scientists. The prizes are awarded by Tel Aviv University. Recipients have been: (Source: Tel Aviv University )
2006: Harvey T. McMahon (MRC Laboratory of Molecular Biology, Cambridge) and Paul R. Selvin (University of Illinois)
2007: Clare M. Waterman-Storer (Scripps Research Institute, Department of Cell Biology, La Jolla, California) and Frank Jülicher (Max Planck Institute for the Physics of Complex Systems in Dresden, Germany). 2008: David Baker (University of Washington) ; Martin Gruebele (University of Illinois) and Jonathan S. Weissman (University of California, San Francisco)
2010: Gerhard Hummer (National Institutes of Health, Bethesda) and Yigong Shi (School of Life Sciences, Tsinghua University, Beijing)
2011: Stephen R. Quake (Stanford University) and Xiaowei Zhuang (Harvard University)
Sackler Prize in Music Composition
There is also a Raymond and Beverly Sackler Prize in Music Composition, the purpose of which is to provide financial support for the creation of new musical works, and which is administered by the School of Fine Arts at the University of Connecticut. Begun in 2002, the international award offers a substantial recognition including public performances, recordings, and a prize of $25,000 (USD). The 2015 winner was David Dzubay. | [
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] |
See also
List of chemistry awards
List of physics awards
List of biology awards
References
External links
Tel Aviv University page
Biophysics awards
Physics awards
Chemistry awards
Tel Aviv University
Israeli science and technology awards
International awards
Early career awards | [
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HMAS Shepparton (A 03) is a Paluma-class survey motor launch of the Royal Australian Navy (RAN). Design and construction
The Paluma-class vessels have a full load displacement of 320 tonnes. They are long overall and long between perpendiculars, have a beam of , and a draught of . Propulsion machinery consists of two General Motors Detroit Diesel 12V-92T engines, which supply to the two propeller shafts. Each vessel has a top speed of , a maximum sustainable speed of (which gives a maximum range of ), and an endurance of 14 days. The sensor suite of a Paluma-class launch consists of a JRC JMA-3710-6 navigational radar, an ELAC LAZ 72 side-scan mapping sonar, and a Skipper 113 hull-mounted scanning sonar. The vessels are unarmed. The standard ship's company consists of three officers and eleven sailors, although another four personnel can be accommodated. The catamarans were originally painted white, but were repainted naval grey in 2002. Shepparton was laid down at Eglo Engineering's shipyard in Port Adelaide, South Australia on 21 September 1988, launched on 5 December 1989, and commissioned into the RAN on 24 January 1990. The ship was named for the city of Shepparton, Victoria. Operational history
In January 2011, Shepparton was one of three RAN vessels deployed to survey Moreton Bay and the Brisbane River for submerged debris as part of Operation Queensland Flood Assist, the Australian Defence Force response to the 2010–11 Queensland floods. In October 2013, Shepparton participated in the International Fleet Review 2013 in Sydney. | [
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Citations
References
External links
Paluma-class survey motor launches
Survey ships of the Royal Australian Navy
Naval ships of Australia
1989 ships | [
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A Different Universe: Reinventing Physics from the Bottom Down is a 2005 physics book by Robert B. Laughlin, a winner of the Nobel Prize in Physics for the fractional quantum Hall effect. Its title is a play on the P. W. Anderson manifesto More is Different, historically important in claiming that condensed-matter physics deserves greater respect. The book extends his articles The Middle Way and The Theory of Everything, arguing the limits of reductionism. A key concept in Laughlin's works is protectorates, meaning robust physical regimes of behavior that do not depend on (that is, they are protected from the fickle details of) the underlying smaller-scale physics such as quantum noise. Such robust or reliable behavior at macroscopic scales makes possible higher-level entities, from biological life to nanotechnology. The book emphasizes more study of such macroscopic phenomena, sometimes called emergence, over the ever-downward dive into theoretically fundamental ideas such as string theory, which at some point become empirically irrelevant by having no observable consequences in our world. The arguments come full circle with modern dark energy ideas suggesting that spacetime or the vacuum may not be empty, but rather (for all we can observe) a medium, a possibility ironically glimpsed even by Einstein whose career began with demolishing the similar but too-simplistic notion of ether with his special relativity work. References
2005 non-fiction books | [
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Internet Direct, also known as "Indy", is a free software / open source socket library written in Object Pascal, an object-oriented version of Pascal. It includes clients, servers, TCP, UDP, and raw sockets, as well as over 100 higher level protocols implementations such as SMTP, POP3, NNTP, and HTTP. Indy includes support for OpenSSL and Zlib in the protocol implementations. Indy 10 was ported to Free Pascal, and runs on Windows, FreeBSD, Linux, and Darwin. Internet Direct is available for Borland Delphi, C++ Builder, and Kylix. The software is dual-licensed under the "Indy Modified BSD License" and the "Indy MPL License". As of early 2008, there is a new project called Indy#, which intends to write a C# version from the ground up. History
Indy was initially named "Winshoes" and was written by Chad Z. Hower (a.k.a. Kudzu) in 1993 in Visual Basic. In 1995, he ported it to Borland Delphi and deprecated the Visual Basic version. In 1997, he made it available under an open-source license. In 2000, Winshoes was renamed to Internet Direct (Indy for short) and became cross-platform. In 2001, Borland began including it as a part of Borland Delphi, C++ Builder, and Kylix. In 2003, Indy was ported to Delphi for .NET. The following year, Indy was made available to the Microsoft .NET community. References
External links
Indy Project home page
Indy Knowledge Base
Pascal programming language family
Free Pascal
Pascal (programming language) software | [
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The Lycian alphabet was used to write the Lycian language of the Asia Minor region of Lycia. It was an extension of the Greek alphabet, with half a dozen additional letters for sounds not found in Greek. It was largely similar to the Lydian and the Phrygian alphabets. The alphabet
The Lycian alphabet contains letters for 29 sounds. Some sounds are represented by more than one symbol, which is considered one "letter". There are six vowel letters, one for each of the four oral vowels of Lycian, and separate letters for two of the four nasal vowels. Nine of the Lycian letters do not appear to derive from the Greek alphabet. Numbers
Lycian uses the following number symbols: I (vertical stroke) = 1, < ("less than" sign) (or, rarely, L or C or V or Y) = 5, O (circle) = 10; a horizontal stroke — is one half; a symbol somewhat like our letter H may mean 100. The number 128½ would therefore be expressed as HOO<III—. Unicode
The Lycian alphabet was added to the Unicode Standard in April, 2008 with the release of version 5.1. It is encoded in Plane 1 (Supplementary Multilingual Plane). The Unicode block for Lycian is U+10280–U+1029F:
See also
Letoon trilingual
Lycian language
Notes
References
. Translator Chris Markham. Roger D. Woodard, 2007, The Ancient Languages of Asia Minor. External links
Writing systems
Obsolete writing systems
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Lydian script was used to write the Lydian language. Like other scripts of Anatolia in the Iron Age, the Lydian alphabet is based on the Phoenician alphabet. It is related to the East Greek alphabet, but it has unique features. The first modern codification of the Lydian alphabet was made by Roberto Gusmani in 1964, in a combined lexicon, grammar, and text collection. Early Lydian texts were written either from left to right or from right to left. Later texts all run from right to left. One surviving text is in the bi-directional boustrophedon manner. Spaces separate words except in one text that uses dots instead. Lydian uniquely features a quotation mark in the shape of a right triangle. Alphabet
The Lydian alphabet is closely related to the other alphabets of Asia Minor as well as to the Greek alphabet. It contains letters for 26 sounds. Some are represented by more than one symbol, which is considered one "letter." Unlike the Carian alphabet, which had an f derived from Φ, the Lydian f has the peculiar 8 shape also found in the Neo-Etruscan alphabet and in Italic alphabets of Osco-Umbrian languages such as Oscan, Umbrian, Old Sabine and South Picene (Old Volscian), and it is thought to be an invention of speakers of a Sabellian language (Osco-Umbrian languages). In addition, two digraphs, aa and ii, appear to be allophones of [a] and [i] under speculative circumstances, such as lengthening from stress. | [
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Complex consonant clusters often appear in the inscriptions and, if present, an epenthetic schwa was evidently not written: 𐤥𐤹𐤯𐤣𐤦𐤣 wctdid [wt͡stθiθ], 𐤨𐤮𐤡𐤷𐤯𐤬𐤨 kśbλtok- [kspʎ̩tok]. Note: a newer transliteration employing p for b, s for ś, š for s, and/or w for v appears in recent publications and the online Dictionary of the Minor Languages of Ancient Anatolia (eDiAna), as well as Melchert's Lydian corpus. Examples of words
ora [ora] "month"
laqrisa [lakʷrisa] "wall, dromos" or "inscription"
bira [pira] "house, home"
wcbaqẽnt [w̩t͡spaˈkʷãnd] "to trample on" (from PIE *pekʷ- "to crush")
Unicode
The Lydian alphabet was added to the Unicode Standard in April, 2008 with the release of version 5.1. It is encoded in Plane 1 (Supplementary Multilingual Plane). The Unicode block for Lydian is U+10920–U+1093F:
See also
Lydian language
Lydia
Lydians
Runes
Notes
External links
References
. Translator Chris Markham. French language text. Gusmani, R. Lydisches Wörterbuch. Mit grammatischer Skizze und Inschriftensammlung, Heidelberg 1964 (Ergänzungsband 1-3, Heidelberg 1980-1986). Melchert, H. Craig (2004) "Lydian", in Roger D. Woodard (ed. ), The Cambridge Encyclopedia of the World's Ancient Languages. Cambridge: Cambridge University Press. . pp. 601–608. Shevoroshkin, V. The Lydian Language, Moscow, 1977. Script
Writing systems
Obsolete writing systems
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A Belinski–Khalatnikov–Lifshitz (BKL) singularity is a model of the dynamic evolution of the universe near the initial gravitational singularity, described by an anisotropic, chaotic solution of the Einstein field equation of gravitation. According to this model, the universe is chaotically oscillating around a gravitational singularity in which time and space become equal to zero. This singularity is physically real in the sense that it is a necessary property of the solution, and will appear also in the exact solution of those equations. The singularity is not artificially created by the assumptions and simplifications made by the other special solutions such as the Friedmann–Lemaître–Robertson–Walker, quasi-isotropic, and Kasner solutions. The model is named after its authors Vladimir Belinski, Isaak Khalatnikov, and Evgeny Lifshitz, then working at the Landau Institute for Theoretical Physics. The picture developed by BKL has several important elements. These are:
Near the singularity the evolution of the geometry at different spatial points decouples so that the solutions of the partial differential equations can be approximated by solutions of ordinary differential equations with respect to time for appropriately defined spatial scale factors. This is called the BKL conjecture. For most types of matter the effect of the matter fields on the dynamics of the geometry becomes negligible near the singularity. Or, in the words of John Wheeler, "matter doesn't matter" near a singularity. The original BKL work posed a negligible effect for all matter but later they theorized that "stiff matter" (equation of state p = ε) equivalent to a massless scalar field can have a modifying effect on the dynamics near the singularity. | [
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The ordinary differential equations describing the asymptotics come from a class of spatially homogeneous solutions which constitute the Mixmaster dynamics: a complicated oscillatory and chaotic model that exhibits properties similar to those discussed by BKL. The study of the dynamics of the universe in the vicinity of the cosmological singularity has become a rapidly developing field of modern theoretical and mathematical physics. The generalization of the BKL model to the cosmological singularity in multidimensional (Kaluza–Klein type) cosmological models has a chaotic character in the spacetimes whose dimensionality is not higher than ten, while in the spacetimes of higher dimensionalities a universe after undergoing a finite number of oscillations enters into monotonic Kasner-type contracting regime. The development of cosmological studies based on superstring models has revealed some new aspects of the dynamics in the vicinity of the singularity. In these models, mechanisms of changing of Kasner epochs are provoked not by the gravitational interactions but by the influence of other fields present. It was proved that the cosmological models based on six main superstring models plus D = 11 supergravity model exhibit the chaotic BKL dynamics towards the singularity. A connection was discovered between oscillatory BKL-like cosmological models and a special subclass of infinite-dimensional Lie algebras – the so-called hyperbolic Kac–Moody algebras. Introduction
The basis of modern cosmology are the special solutions of the Einstein field equations found by Alexander Friedmann in 1922–1924. The Universe is assumed homogeneous (space has the same metric properties (measures) in all points) and isotropic (space has the same measures in all directions). | [
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Friedmann's solutions allow two possible geometries for space: closed model with a ball-like, outwards-bowed space (positive curvature) and open model with a saddle-like, inwards-bowed space (negative curvature). In both models, the Universe is not standing still, it is constantly either expanding (becoming larger) or contracting (shrinking, becoming smaller). This was confirmed by Edwin Hubble who established the Hubble redshift of receding galaxies. The present consensus is that the isotropic model, in general, gives an adequate description of the present state of the Universe; however, isotropy of the present Universe by itself is not a reason to expect that it is adequate for describing the early stages of Universe evolution. At the same time, it is obvious that in the real world homogeneity is, at best, only an approximation. Even if one can speak about a homogeneous distribution of matter density at distances that are large compared to the intergalactic space, this homogeneity vanishes at smaller scales. On the other hand, the homogeneity assumption goes very far in a mathematical aspect: it makes the solution highly symmetric which can impart specific properties that disappear when considering a more general case. Another important property of the isotropic model is the inevitable existence of a time singularity: time flow is not continuous, but stops or reverses after time reaches some very large or very small value. Between singularities, time flows in one direction: away from the singularity (arrow of time). | [
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In the open model, there is one time singularity so time is limited at one end but unlimited at the other, while in the closed model there are two singularities that limit time at both ends (the Big Bang and Big Crunch). The only physically interesting properties of spacetimes (such as singularities) are those which are stable, i.e., those properties which still occur when the initial data is perturbed slightly. It is possible for a singularity to be stable and yet be of no physical interest: stability is a necessary but not a sufficient condition for physical relevance. For example, a singularity could be stable only in a neighbourhood of initial data sets corresponding to highly anisotropic universes. Since the actual universe is now apparently almost isotropic such a singularity could not occur in our universe. A sufficient condition for a stable singularity to be of physical interest is the requirement that the singularity be generic (or general). Roughly speaking, a stable singularity is generic if it occurs near every set of initial conditions and the non-gravitational fields are restricted in some specified way to "physically realistic" fields so that the Einstein equations, various equations of state, etc., are assumed to hold on the evolved spacetimes. It might happen that a singularity is stable under small variations of the true gravitational degrees of freedom, and yet it is not generic because the singularity depends in some way on the coordinate system, or rather on the choice of the initial hypersurface from which the spacetime is evolved. | [
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For a system of non-linear differential equations, such as the Einstein equations, a general solution is not unambiguously defined. In principle, there may be multiple general integrals, and each of those may contain only a finite subset of all possible initial conditions. Each of those integrals may contain all required independent functions which, however, may be subject to some conditions (e.g., some inequalities). Existence of a general solution with a singularity, therefore, does not preclude the existence of other additional general solutions that do not contain a singularity. For example, there is no reason to doubt the existence of a general solution without a singularity that describes an isolated body with a relatively small mass. It is impossible to find a general integral for all space and for all time. However, this is not necessary for resolving the problem: it is sufficient to study the solution near the singularity. This would also resolve another aspect of the problem: the characteristics of spacetime metric evolution in the general solution when it reaches the physical singularity, understood as a point where matter density and invariants of the Riemann curvature tensor become infinite. Existence of physical time singularity
One of the principal problems studied by the Landau group (to which BKL belong) was whether relativistic cosmological models necessarily contain a time singularity or whether the time singularity is an artifact of the assumptions used to simplify these models. The independence of the singularity on symmetry assumptions would mean that time singularities exist not only in the special, but also in the general solutions of the Einstein equations. | [
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It is reasonable to suggest that if a singularity is present in the general solution, there must be some indications that are based only on the most general properties of the Einstein equations, although those indications by themselves might be insufficient for characterizing the singularity. A criterion for generality of solutions is the number of independent space coordinate functions that they contain. These include only the "physically independent" functions whose number cannot be reduced by any choice of reference frame. In the general solution, the number of such functions must be enough to fully define the initial conditions (distribution and movement of matter, distribution of gravitational field) at some moment of time chosen as initial. This number is four for an empty (vacuum) space, and eight for a matter and/or radiation-filled space. Previous work by the Landau group; reviewed in) led to the conclusion that the general solution does not contain a physical singularity. This search for a broader class of solutions with a singularity has been done, essentially, by a trial-and-error method, since a systematic approach to the study of the Einstein equations was lacking. A negative result, obtained in this way, is not convincing by itself; a solution with the necessary degree of generality would invalidate it, and at the same time would confirm any positive results related to the specific solution. | [
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At that time, the only known indication for the existence of physical singularity in the general solution was related to the form of the Einstein equations written in a synchronous frame, that is, in a frame in which the proper time x0 = t is synchronized throughout the whole space; in this frame the space distance element dl is separate from the time interval dt. The Einstein equation written in synchronous frame gives a result in which the metric determinant g inevitably becomes zero in a finite time irrespective of any assumptions about matter distribution. However, the efforts to find a general physical singularity were foregone after it became clear that the singularity mentioned above is linked with a specific geometric property of the synchronous frame: the crossing of time line coordinates. This crossing takes place on some encircling hypersurfaces which are four-dimensional analogs of the caustic surfaces in geometrical optics; g becomes zero exactly at this crossing. Therefore, although this singularity is general, it is fictitious, and not a physical one; it disappears when the reference frame is changed. This, apparently, dissuaded the researchers for further investigations along these lines. Several years passed before the interest in this problem waxed again when published his theorems that linked the existence of a singularity of unknown character with some very general assumptions that did not have anything in common with a choice of reference frame. Other similar theorems were found later on by Hawking and Geroch (see Penrose–Hawking singularity theorems). This revived interest in the search for singular solutions. | [
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Generalized homogeneous solution
In a space that is both homogeneous and isotropic the metric is determined completely, leaving free only the sign of the curvature. Assuming only space homogeneity with no additional symmetry such as isotropy leaves considerably more freedom in choosing the metric. The following pertains to the space part of the metric at a given instant of time t assuming a synchronous frame so that t is the same synchronised time for the whole space. The BKL conjecture
In their 1970 work, BKL stated that as one approaches a singularity, terms containing time derivatives in Einstein's equations dominate over those containing spatial derivatives. This has since been known as the BKL conjecture and implies that Einstein's partial differential equations (PDE) are well approximated by ordinary differential equations (ODEs), whence the dynamics of general relativity effectively become local and oscillatory. The time evolution of fields at each spatial point is well approximated by the homogeneous cosmologies in the Bianchi classification. By separating the time and space derivatives in the Einstein equations, for example, in the way used above for the classification of homogeneous spaces, and then setting the terms containing space derivatives equal to zero, one can define the so-called truncated theory of the system (truncated equations). Then, the BKL conjecture can be made more specific:
Weak conjecture: As the singularity is approached the terms containing space derivatives in the Einstein equations are negligible in comparison to the terms containing time derivatives. Thus, as the singularity is approached the Einstein equations approach those found by setting derivative terms to zero. | [
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Thus, the weak conjecture says that the Einstein equations can be well approximated by the truncated equations in the vicinity of the singularity. Note that this does not imply that the solutions of the full equations of motion will approach the solutions to the truncated equations as the singularity is approached. This additional condition is captured in the strong version as follows. Strong conjecture: As the singularity is approached the Einstein equations approach those of the truncated theory and in addition the solutions to the full equations are well approximated by solutions to the truncated equations. In the beginning, the BKL conjecture seemed to be coordinate-dependent and rather implausible. Barrow and Tipler, for example, among the ten criticisms of BKL studies, include the inappropriate (according to them) choice of synchronous frame as a means to separate time and space derivatives. The BKL conjecture was sometimes rephrased in the literature as a statement that near the singularity only the time derivatives are important. Such a statement, taken at face value, is wrong or at best misleading since, as shown in the BKL analysis itself, space-like gradients of the metric tensor cannot be neglected for generic solutions of pure Einstein gravity in four spacetime dimensions, and in fact play a crucial role in the appearance of the oscillatory regime. However, there exist reformulations of Einstein theory in terms of new variables involving the relevant gradients, for example in Ashtekar-like variables, for which the statement about the dominant role of the time derivatives is correct. | [
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It is true that one gets at each spatial point an effective description of the singularity in terms of a finite dimensional dynamical system described by ordinary differential equations with respect to time, but the spatial gradients do enter these equations non-trivially. Subsequent analysis by a large number of authors has shown that the BKL conjecture can be made precise and by now there is an impressive body of numerical and analytical evidence in its support. It is fair to say that we are still quite far from a proof of the strong conjecture. But there has been outstanding progress in simpler models. In particular, Berger, Garfinkle, Moncrief, Isenberg, Weaver, and others showed that, in a class of models, as the singularity is approached the solutions to the full Einstein field equations approach the "velocity term dominated" (truncated) ones obtained by neglecting spatial derivatives. Andersson and Rendall showed that for gravity coupled to a massless scalar field or a stiff fluid, for every solution to the truncated equations there exists a solution to the full field equations that converges to the truncated solution as the singularity is approached, even in the absence of symmetries. These results were generalized to also include p-form gauge fields. In these truncated models the dynamics are simpler, allowing a precise statement of the conjecture that could be proven. In the general case, the strongest evidence to date comes from numerical evolutions. Berger and Moncrief began a program to analyze generic cosmological singularities. | [
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While the initial work focused on symmetry reduced cases, more recently Garfinkle performed numerical evolution of space-times with no symmetries in which, again, the mixmaster behavior is apparent. Finally, additional support for the conjecture has come from a numerical study of the behavior of test fields near the singularity of a Schwarzschild black hole. Kasner solution
The BKL approach to anisotropic (as opposed to isotropic) homogeneous spaces starts with a generalization of an exact particular solution derived by Kasner for a field in vacuum, in which the space is homogeneous and has a Euclidean metric that depends on time according to the Kasner metric
(dl is the line element; dx, dy, dz are infinitesimal displacements in the three spatial dimensions, and t is time period passed since some initial moment t0 = 0). Here, p1, p2, p3 are any three numbers that satisfy the following Kasner conditions
Because of these relations, only one of the three numbers is independent (two equations with three unknowns). All three numbers are never the same; two numbers are the same only in the sets of values and (0, 0, 1). In all other cases the numbers are different, one number is negative and the other two are positive. This is partially proved by squaring both sides of the first condition and developing the square:
The term is equal to 1 by dint of the second condition and therefore the term with the mixed products should be zero. This is possible if at least one of the p1, p2, p3 is negative. | [
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If the numbers are arranged in increasing order, p1 < p2 < p3, they change in the intervals (Fig. 4)
The Kasner metric corresponds to a flat homogenous but anisotropic space in which all volumes increase with time in such a way that the linear distances along two axes y and z increase while the distance along the axis x decreases. The moment t = 0 causes a singularity in the solution; the singularity in the metric at t = 0 cannot be avoided by any reference frame transformation. At the singularity, the invariants of the four-dimensional curvature tensor go to infinity. An exception is the case p1 = р2 = 0, р3 = 1; these values correspond to a flat spacetime: the transformation t sh z = ζ, t ch z = τ turns the Kasner metric () into Galilean. BKL parametrize the numbers p1, p2, p3 in terms of a single independent (real) parameter u (Lifshitz-Khalatnikov parameter) as follows
The Kasner index parametrization appears mysterious until one thinks about the two constraints on the indices . Both constraints fix the overall scale of the indices so that only their ratios can vary. It is natural to pick one of those ratios as a new parameter, which can be done in six different ways. Picking u = u32 = p3 / p2, for example, it is trivial to express all six possible ratios in terms of it. | [
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Eliminating p3 = up2 first, and then using the linear constraint to eliminate p1 = 1 − p2 − up2 = 1 − (1 + u)p2, the quadratic constraint reduces to a quadratic equation in p2
with roots p2 = 0 (obvious) and p2 = (1 + u) / (1 + u + u2), from which p1 and p3 are then obtained by back substitution. One can define six such parameters uab = pa / pb, for which pc ≤ pb ≤ pa when (c, b, a) is a cyclic permutation of (1, 2, 3). All different values of p1, p2, p3 ordered as above are obtained with u running in the range u ≥ 1. The values u < 1 are brought into this range according to
In the generalized solution, the form corresponding to applies only to the asymptotic metric (the metric close to the singularity t = 0), respectively, to the major terms of its series expansion by powers of t. In the synchronous reference frame it is written in the form of with a space distance element
where
The three-dimensional vectors l, m, n define the directions at which space distance changes with time by the power laws . These vectors, as well as the numbers pl, pm, pn which, as before, are related by , are functions of the space coordinates. The powers pl, pm, pn are not arranged in increasing order, reserving the symbols p1, p2, p3 for the numbers in that remain arranged in increasing order. | [
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0.9404296875
] |
The determinant of the metric of is
where v = l[mn]. It is convenient to introduce the following quantities
The space metric in is anisotropic because the powers of t in cannot have the same values. On approaching the singularity at t = 0, the linear distances in each space element decrease in two directions and increase in the third direction. The volume of the element decreases in proportion to t.
The Kasner metric is introduced in the Einstein equations by substituting the respective metric tensor γαβ from without defining a priori the dependence of a, b, c from t:
where the dot above a symbol designates differentiation with respect to time. The Einstein equation takes the form
All its terms are to a second order for the large (at t → 0) quantity 1/t. In the Einstein equations , terms of such order appear only from terms that are time-differentiated. If the components of Pαβ do not include terms of order higher than two, then
where indices l, m, n designate tensor components in the directions l, m, n. These equations together with give the expressions with powers that satisfy . However, the presence of one negative power among the 3 powers pl, pm, pn results in appearance of terms from Pαβ with an order greater than t−2. If the negative power is pl (pl = p1 < 0), then Pαβ contains the coordinate function λ and become
Here, the second terms are of order t−2(pm + pn − pl) whereby pm + pn − pl = 1 + 2 |pl| > 1. | [
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To remove these terms and restore the metric , it is necessary to impose on the coordinate functions the condition λ = 0. The remaining three Einstein equations contain only first order time derivatives of the metric tensor. They give three time-independent relations that must be imposed as necessary conditions on the coordinate functions in . This, together with the condition λ = 0, makes four conditions. These conditions bind ten different coordinate functions: three components of each of the vectors l, m, n, and one function in the powers of t (any one of the functions pl, pm, pn, which are bound by the conditions ). When calculating the number of physically arbitrary functions, it must be taken into account that the synchronous system used here allows time-independent arbitrary transformations of the three space coordinates. Therefore, the final solution contains overall 10 − 4 − 3 = 3 physically arbitrary functions which is one less than what is needed for the general solution in vacuum. The degree of generality reached at this point is not lessened by introducing matter; matter is written into the metric and contributes four new coordinate functions necessary to describe the initial distribution of its density and the three components of its velocity. This makes possible to determine matter evolution merely from the laws of its movement in an a priori given gravitational field which are the hydrodynamic equations
where ui is the 4-dimensional velocity, ε and σ are the densities of energy and entropy of matter (cf. and; also; for details see ). For the ultrarelativistic equation of state p = ε/3 the entropy σ ~ ε1/4. | [
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The major terms in and are those that contain time derivatives. From and the space components of one has
resulting in
where 'const' are time-independent quantities. Additionally, from the identity uiui = 1 one has (because all covariant components of uα are to the same order)
where un is the velocity component along the direction of n that is connected with the highest (positive) power of t (supposing that pn = p3). From the above relations, it follows that
or
The above equations can be used to confirm that the components of the matter stress-energy-momentum tensor standing in the right hand side of the equations
are, indeed, to a lower order by 1/t than the major terms in their left hand sides. In the equations the presence of matter results only in the change of relations imposed on their constituent coordinate functions. The fact that ε becomes infinite by the law confirms that in the solution to one deals with a physical singularity at any values of the powers p1, p2, p3 excepting only (0, 0, 1). For these last values, the singularity is non-physical and can be removed by a change of reference frame. The fictional singularity corresponding to the powers (0, 0, 1) arises as a result of time line coordinates crossing over some 2-dimensional "focal surface". As pointed out in, a synchronous reference frame can always be chosen in such a way that this inevitable time line crossing occurs exactly on such surface (instead of a 3-dimensional caustic surface). | [
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Therefore, a solution with such simultaneous for the whole space fictional singularity must exist with a full set of arbitrary functions needed for the general solution. Close to the point t = 0 it allows a regular expansion by whole powers of t. For an analysis of this case, see. Oscillating mode towards the singularity
The general solution by definition is completely stable; otherwise the Universe would not exist. Any perturbation is equivalent to a change in the initial conditions in some moment of time; since the general solution allows arbitrary initial conditions, the perturbation is not able to change its character. Looked at such angle, the four conditions imposed on the coordinate functions in the solution are of different types: three conditions that arise from the equations = 0 are "natural"; they are a consequence of the structure of Einstein equations. However, the additional condition λ = 0 that causes the loss of one derivative function, is of entirely different type: instability caused by perturbations can break this condition. The action of such perturbation must bring the model to another, more general, mode. The perturbation cannot be considered as small: a transition to a new mode exceeds the range of very small perturbations. The analysis of the behavior of the model under perturbative action, performed by BKL, delineates a complex oscillatory mode on approaching the singularity. They could not give all details of this mode in the broad frame of the general case. However, BKL explained the most important properties and character of the solution on specific models that allow far-reaching analytical study. | [
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These models are based on a homogeneous space metric of a particular type. Supposing a homogeneity of space without any additional symmetry leaves a great freedom in choosing the metric. All possible homogeneous (but anisotropic) spaces are classified, according to Bianchi, in several Bianchi types (Type I to IX). (see also Generalized homogeneous solution) BKL investigate only spaces of Bianchi Types VIII and IX. If the metric has the form of , for each type of homogeneous spaces exists some functional relation between the reference vectors l, m, n and the space coordinates. The specific form of this relation is not important. The important fact is that for Type VIII and IX spaces, the quantities λ, μ, ν are constants while all "mixed" products l rot m, l rot n, m rot l, etc.. are zeros. For Type IX spaces, the quantities λ, μ, ν have the same sign and one can write λ = μ = ν = 1 (the simultaneous sign change of the 3 constants does not change anything). For Type VIII spaces, 2 constants have a sign that is opposite to the sign of the third constant; one can write, for example, λ = − 1, μ = ν = 1. The study of the effect of the perturbation on the "Kasner mode" is thus confined to a study on the effect of the λ-containing terms in the Einstein equations. Type VIII and IX spaces are the most suitable models for such a study. | [
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Since all 3 quantities λ, μ, ν in those Bianchi types differ from zero, the condition λ = 0 does not hold irrespective of which direction l, m, n has negative power law time dependence. The Einstein equations for the Type VIII and Type IX space models are
(the remaining components , , , , , are identically zeros). These equations contain only functions of time; this is a condition that has to be fulfilled in all homogeneous spaces. Here, the and are exact and their validity does not depend on how near one is to the singularity at t = 0. The time derivatives in and take a simpler form if а, b, с are substituted by their logarithms α, β, γ:
substituting the variable t for τ according to:
Then (subscripts denote differentiation by τ):
Adding together equations and substituting in the left hand side the sum (α + β + γ)τ τ according to , one obtains an equation containing only first derivatives which is the first integral of the system :
This equation plays the role of a binding condition imposed on the initial state of . The Kasner mode is a solution of when ignoring all terms in the right hand sides. But such situation cannot go on (at t → 0) indefinitely because among those terms there are always some that grow. | [
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Thus, if the negative power is in the function a(t) (pl = p1) then the perturbation of the Kasner mode will arise by the terms λ2a4; the rest of the terms will decrease with decreasing t. If only the growing terms are left in the right hand sides of , one obtains the system:
(compare ; below it is substituted λ2 = 1). The solution of these equations must describe the metric evolution from the initial state, in which it is described by with a given set of powers (with pl < 0); let pl = р1, pm = р2, pn = р3 so that
Then
where Λ is constant. Initial conditions for are redefined as
Equations are easily integrated; the solution that satisfies the condition is
where b0 and c0 are two more constants. It can easily be seen that the asymptotic of functions at t → 0 is . The asymptotic expressions of these functions and the function t(τ) at τ → −∞ is
Expressing a, b, c as functions of t, one has
where
Then
The above shows that perturbation acts in such a way that it changes one Kasner mode with another Kasner mode, and in this process the negative power of t flips from direction l to direction m: if before it was pl < 0, now it is p'm < 0. | [
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During this change the function a(t) passes through a maximum and b(t) passes through a minimum; b, which before was decreasing, now increases: a from increasing becomes decreasing; and the decreasing c(t) decreases further. The perturbation itself (λ2a4α in ), which before was increasing, now begins to decrease and die away. Further evolution similarly causes an increase in the perturbation from the terms with μ2 (instead of λ2) in , next change of the Kasner mode, and so on. It is convenient to write the power substitution rule with the help of the parametrization :
The greater of the two positive powers remains positive. BKL call this flip of negative power between directions a Kasner epoch. The key to understanding the character of metric evolution on approaching singularity is exactly this process of Kasner epoch alternation with flipping of powers pl, pm, pn by the rule . The successive alternations with flipping of the negative power p1 between directions l and m (Kasner epochs) continues by depletion of the whole part of the initial u until the moment at which u < 1. The value u < 1 transforms into u > 1 according to ; in this moment the negative power is pl or pm while pn becomes the lesser of two positive numbers (pn = p2). The next series of Kasner epochs then flips the negative power between directions n and l or between n and m. At an arbitrary (irrational) initial value of u this process of alternation continues unlimited. | [
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In the exact solution of the Einstein equations, the powers pl, pm, pn lose their original precise sense. This circumstance introduces some "fuzziness" in the determination of these numbers (and together with them, to the parameter u) which, although small, makes meaningless the analysis of any definite (for example, rational) values of u. Therefore, only these laws that concern arbitrary irrational values of u have any particular meaning. The larger periods in which the scales of space distances along two axes oscillate while distances along the third axis decrease monotonously, are called eras; volumes decrease by a law close to ~ t. On transition from one era to the next, the direction in which distances decrease monotonously, flips from one axis to another. The order of these transitions acquires the asymptotic character of a random process. The same random order is also characteristic for the alternation of the lengths of successive eras (by era length, BKL understand the number of Kasner epoch that an era contains, and not a time interval). To each era (s-th era) correspond a series of values of the parameter u starting from the greatest, , and through the values − 1, − 2, ..., reaching to the smallest, < 1. Then
that is, k(s) = [] where the brackets mean the whole part of the value. The number k(s) is the era length, measured by the number of Kasner epochs that the era contains. | [
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For the next era
In the limitless series of numbers u, composed by these rules, there are infinitesimally small (but never zero) values x(s) and correspondingly infinitely large lengths k(s). The era series become denser on approaching t = 0. However, the natural variable for describing the time course of this evolution is not the world time t, but its logarithm, ln t, by which the whole process of reaching the singularity is extended to −∞. According to , one of the functions a, b, c, that passes through a maximum during a transition between Kasner epochs, at the peak of its maximum is
where it is supposed that amax is large compared to b0 and c0; in
u is the value of the parameter in the Kasner epoch before transition. It can be seen from here that the peaks of consecutive maxima during each era are gradually lowered. Indeed, in the next Kasner epoch this parameter has the value u = u − 1, and Λ is substituted according to with Λ' = Λ(1 − 2|p1(u)|). Therefore, the ratio of 2 consecutive maxima is
and finally
The above are solutions to Einstein equations in vacuum. As for the pure Kasner mode, matter does not change the qualitative properties of this solution and can be written into it disregarding its reaction on the field. | [
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However, if one does this for the model under discussion, understood as an exact solution of the Einstein equations, the resulting picture of matter evolution would not have a general character and would be specific for the high symmetry imminent to the present model. Mathematically, this specificity is related to the fact that for the homogeneous space geometry discussed here, the Ricci tensor components are identically zeros and therefore the Einstein equations would not allow movement of matter (which gives non-zero stress energy-momentum tensor components ). In other words, the synchronous frame must also be co-moving with respect to matter. If one substitutes in uα = 0, u0 = 1, it becomes ε ~ (abc)−4/3 ~ t−4/3. This difficulty is avoided if one includes in the model only the major terms of the limiting (at t → 0) metric and writes into it a matter with arbitrary initial distribution of densities and velocities. Then the course of evolution of matter is determined by its general laws of movement and that result in . During each Kasner epoch, density increases by the law
where p3 is, as above, the greatest of the numbers p1, p2, p3. Matter density increases monotonously during all evolution towards the singularity. Metric evolution
Very large u values correspond to Kasner powers
which are close to the values (0, 0, 1). | [
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Two values that are close to zero, are also close to each other, and therefore the changes in two out of the three types of "perturbations" (the terms with λ, μ and ν in the right hand sides of ) are also very similar. If in the beginning of such long era these terms are very close in absolute values in the moment of transition between two Kasner epochs (or made artificially such by assigning initial conditions) then they will remain close during the greatest part of the length of the whole era. In this case (BKL call this the case of small oscillations), analysis based on the action of one type of perturbations becomes incorrect; one must take into account the simultaneous effect of two perturbation types. Two perturbations
Consider a long era, during which two of the functions a, b, c (let them be a and b) undergo small oscillations while the third function (c) decreases monotonously. The latter function quickly becomes small; consider the solution just in the region where one can ignore c in comparison to a and b. The calculations are first done for the Type IX space model by substituting accordingly λ = μ = ν = 1. After ignoring function c, the first 2 equations give
and can be used as a third equation, which takes the form
The solution of is written in the form
where α0, ξ0 are positive constants, and τ0 is the upper limit of the era for the variable τ. | [
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] |
It is convenient to introduce further a new variable (instead of τ)
Then
Equations and are transformed by introducing the variable χ = α − β:
Decrease of τ from τ0 to −∞ corresponds to a decrease of ξ from ξ0 to 0. The long era with close a and b (that is, with small χ), considered here, is obtained if ξ0 is a very large quantity. Indeed, at large ξ the solution of in the first approximation by 1/ξ is
where A is constant; the multiplier makes χ a small quantity so it can be substituted in by sh 2χ ≈ 2χ. From one obtains
After determining α and β from and and expanding eα and eβ in series according to the above approximation, one obtains finally:
The relation between the variable ξ and time t is obtained by integration of the definition dt = abc dτ which gives
The constant c0 (the value of с at ξ = ξ0) should be now c0 α0·
Let us now consider the domain ξ 1. Here the major terms in the solution of are:
where k is a constant in the range − 1 < k < 1; this condition ensures that the last term in is small (sh 2χ contains ξ2k and ξ−2k). Then, after determining α, β, and t, one obtains
This is again a Kasner mode with the negative t power present in the function c(t). These results picture an evolution that is qualitatively similar to that, described above. | [
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During a long period of time that corresponds to a large decreasing ξ value, the two functions a and b oscillate, remaining close in magnitude ; in the same time, both functions a and b slowly () decrease. The period of oscillations is constant by the variable ξ : Δξ = 2π (or, which is the same, with a constant period by logarithmic time: Δ ln t = 2πΑ2). The third function, c, decreases monotonously by a law close to c = c0t/t0. This evolution continues until ξ ≈1 and formulas and are no longer applicable. Its time duration corresponds to change of t from t0 to the value t1, related to ξ0 according to
The relationship between ξ and t during this time can be presented in the form
After that, as seen from , the decreasing function c starts to increase while functions a and b start to decrease. This Kasner epoch continues until terms c2/a2b2 in become ~ t2 and a next series of oscillations begins. The law for density change during the long era under discussion is obtained by substitution of in :
When ξ changes from ξ0 to ξ ≈1, the density increases times. It must be stressed that although the function c(t) changes by a law, close to c ~ t, the metric does not correspond to a Kasner metric with powers (0, 0, 1). The latter corresponds to an exact solution found by Taub which is allowed by eqs. – and in which
where p, δ1, δ2 are constant. | [
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In the asymptotic region τ → −∞, one can obtain from here a = b = const, c = const.t after the substitution ерτ = t. In this metric, the singularity at t = 0 is non-physical. Let us now describe the analogous study of the Type VIII model, substituting in eqs. – λ = −1, μ = ν = 1. If during the long era, the monotonically decreasing function is a, nothing changes in the foregoing analysis: ignoring a2 on the right side of equations and , goes back to the same equations and (with altered notation). Some changes occur, however, if the monotonically decreasing function is b or c; let it be c.
As before, one has equation with the same symbols, and, therefore, the former expressions for the functions a(ξ) and b(ξ), but equation is replaced by
The major term at large ξ now becomes
so that
The value of c as a function of time t is again c = c0t/t0 but the time dependence of ξ changes. The length of a long era depends on ξ0 according to
On the other hand, the value ξ0 determines the number of oscillations of the functions a and b during an era (equal to ξ0/2π). Given the length of an era in logarithmic time (i.e., with given ratio t0/t1) the number of oscillations for Type VIII will be, generally speaking, less than for Type IX. | [
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For the period of oscillations one gets now Δ ln t = πξ/2; contrary to Type IX, the period is not constant throughout the long era, and slowly decreases along with ξ. The small-time domain
Long eras violate the "regular" course of evolution which makes it difficult to study the evolution of time intervals spanning several eras. It can be shown, however, that such "abnormal" cases appear in the spontaneous evolution of the model to a singular point in the asymptotically small times t at sufficiently large distances from a start point with arbitrary initial conditions. Even in long eras both oscillatory functions during transitions between Kasner epochs remain so different that the transition occurs under the influence of only one perturbation. All results in this section relate equally to models of the types VIII and IX. During each Kasner epoch abc = Λt, i. e. α + β + γ = ln Λ + ln t. On changing over from one epoch (with a given value of the parameter u) to the next epoch the constant Λ is multiplied by 1 + 2p1 = (1 – u + u2)/(1 + u + u2) < 1. Thus a systematic decrease in Λ takes place. But it is essential that the mean (with respect to the lengths k of eras) value of the entire variation of ln Λ during an era is finite. Actually the divergence of the mean value could be due only to a too rapid increase of this variation with increasing k. For large value of the parameter u, ln(1 + 2p1) ≈ −2/u. | [
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For a large k the maximal value u(max) = k + x ≈ k. Hence the entire variation of ln Λ during an era is given by a sum of the form
with only the terms that correspond to large values of u written down. When k increases this sum increases as ln k. But the probability for an appearance of an era of a large length k decreases as 1/k2 according to ; hence the mean value of the sum above is finite. Consequently, the systematic variation of the quantity ln Λ over a large number of eras will be proportional to this number. But it is seen in that with t → 0 the number s increases merely as ln |ln t|. Thus in the asymptotic limit of arbitrarily small t the term ln Λ can indeed be neglected as compared to ln t. In this approximation
where Ω denotes the "logarithmic time"
and the process of epoch transitions can be regarded as a series of brief time flashes. The magnitudes of maxima of the oscillating scale functions are also subject to a systematic variation. From for u ≫ 1 it follows that . In the same way as it was done above for the quantity ln Λ, one can hence deduce that the mean decrease in the height of the maxima during an era is finite and the total decrease over a large number of eras increases with t → 0 merely as ln Ω. At the same time the lowering of the minima, and by the same token the increase of the amplitude of the oscillations, proceed () proportional to Ω. | [
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In correspondence with the adopted approximation the lowering of the maxima is neglected in comparison with the increase of the amplitudes so αmax = 0, βmax = 0, γmax = 0 for the maximal values of all oscillating functions and the quantities α, β, γ run only through negative values that are connected with one another at each instant of time by the relation . Considering such instant change of epochs, the transition periods are ignored as small in comparison to the epoch length; this condition is actually fulfilled. Replacement of α, β, and γ maxima with zeros requires that quantities ln (|p1|Λ) be small in comparison with the amplitudes of oscillations of the respective functions. As mentioned above, during transitions between eras |p1| values can become very small while their magnitude and probability for occurrence are not related to the oscillation amplitudes in the respective moment. Therefore, in principle, it is possible to reach so small |p1| values that the above condition (zero maxima) is violated. Such drastic drop of αmax can lead to various special situations in which the transition between Kasner epochs by the rule becomes incorrect (including the situations described above). These "dangerous" situations could break the laws used for the statistical analysis below. As mentioned, however, the probability for such deviations converges asymptotically to zero; this issue will be discussed below. Consider an era that contains k Kasner epochs with a parameter u running through the values
and let α and β are the oscillating functions during this era (Fig. 4). Initial moments of Kasner epochs with parameters un are Ωn. | [
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In each initial moment, one of the values α or β is zero, while the other has a minimum. Values α or β in consecutive minima, that is, in moments Ωn are
(not distinguishing minima α and β). Values δn that measure those minima in respective Ωn units can run between 0 and 1. Function γ monotonously decreases during this era; according to its value in moment Ωn is
During the epoch starting at moment Ωn and ending at moment Ωn+1 one of the functions α or β increases from −δnΩn to zero while the other decreases from 0 to −δn+1Ωn+1 by linear laws, respectively:
and
resulting in the recurrence relation
and for the logarithmic epoch length
where, for short, f(u) = 1 + u + u2. The sum of n epoch lengths is obtained by the formula
It can be seen from that |αn+1| > |αn|, i.e., the oscillation amplitudes of functions α and β increase during the whole era although the factors δn may be small. If the minimum at the beginning of an era is deep, the next minima will not become shallower; in other words, the residue |α — β| at the moment of transition between Kasner epochs remains large. This assertion does not depend upon era length k because transitions between epochs are determined by the common rule also for long eras. The last oscillation amplitude of functions α or β in a given era is related to the amplitude of the first oscillation by the relationship |αk−1| = |α0| (k + x) / (1 + x). | [
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Even at k 's as small as several units x can be ignored in comparison to k so that the increase of α and β oscillation amplitudes becomes proportional to the era length. For functions a = eα and b = eβ this means that if the amplitude of their oscillations in the beginning of an era was A0, at the end of this era the amplitude will become . The length of Kasner epochs (in logarithmic time) also increases inside a given era; it is easy to calculate from that Δn+1 > Δn. The total era length is
(the term with 1/x arises from the last, k-th, epoch whose length is great at small x; cf. Fig. 2). Moment Ωn when the k-th epoch of a given era ends is at the same time moment Ω'0 of the beginning of the next era. In the first Kasner epoch of the new era function γ is the first to rise from the minimal value γk = − Ωk (1 − δk) that it reached in the previous era; this value plays the role of a starting amplitude δ'0Ω'0 for the new series of oscillations. It is easily obtained that:
It is obvious that δ'0Ω'0 > δ0Ω0. Even at not very great k the amplitude increase is very significant: function c = eγ begins to oscillate from amplitude . The issue about the above mentioned "dangerous" cases of drastic lowering of the upper oscillation limit is left aside for now. | [
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According to the increase in matter density during the first (k − 1) epochs is given by the formula
For the last k epoch of a given era, at u = x < 1 the greatest power is p2(x) (not p3(x) ). Therefore, for the density increase over the whole era one obtains
Therefore, even at not very great k values, . During the next era (with a length k ' ) density will increase faster because of the increased starting amplitude A0': , etc. These formulae illustrate the steep increase in matter density. Statistical analysis near the singularity
The sequence of era lengths k(s), measured by the number of Kasner epochs contained in them, acquires asymptotically the character of a random process. The same pertains also to the sequence of the interchanges of the pairs of oscillating functions on going over from one era to the next (it depends on whether the numbers k(s) are even or odd). A source of this stochasticity is the rule – according to which the transition from one era to the next is determined in an infinite numerical sequence of u values. | [
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This rule states, in other words, that if the entire infinite sequence begins with a certain initial value , then the lengths of the eras k(0), k(1), ..., are the numbers in the continued fraction expansion
This expansion corresponds to the mapping transformation of the interval [0, 1] onto itself by the formula Tx = {1/x}, i.e., xs+1 = {1/xs}. This transformation belongs to the so-called expanding transformations of the interval [0, 1], i.e., transformations x → f(x) with |f′(x)| > 1. Such transformations possess the property of exponential instability: if we take initially two close points their mutual distance increases exponentially under the iterations of the transformations. It is well known that the exponential instability leads to the appearance of strong stochastic properties. It is possible to change over to a probabilistic description of such a sequence by considering not a definite initial value x(0) but the values x(0) = x distributed in the interval from 0 to 1 in accordance with a certain probabilistic distributional law w0(x). Then the values of x(s) terminating each era will also have distributions that follow certain laws ws(x). Let ws(x)dx be the probability that the s-th era terminates with the value lying in a specified interval dx. | [
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The value x(s) = x, which terminates the s-th era, can result from initial (for this era) values , where k = 1, 2, ...; these values of correspond to the values x(s–1) = 1/(k + x) for the preceding era. Noting this, one can write the following recurrence relation, which expresses the distribution of the probabilities ws(x) in terms of the distribution ws–1(x):
or
If the distribution ws(x) tends with increasing s to a stationary (independent of s) limiting distribution w(x), then the latter should satisfy an equation obtained from by dropping the indices of the functions ws−1(x) and ws(x). This equation has a solution
(normalized to unity and taken to the first order of x). In order for the s-th era to have a length k, the preceding era must terminate with a number x in the interval between 1/(k + 1) and 1/k. Therefore, the probability that the era will have a length k is equal to (in the stationary limit)
At large values of k
In relating the statistical properties of the cosmological model with the ergodic properties of the transformation xs+1 = {1/xs} an important point must be mentioned. In an infinite sequence of numbers x constructed in accordance with this rule, arbitrarily small (but never vanishing) values of x will be observed corresponding to arbitrarily large lengths k. Such cases can (by no means necessarily!) | [
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give rise to certain specific situations when the notion of eras, as of sequences of Kasner epochs interchanging each other according to the rule , loses its meaning (although the oscillatory mode of evolution of the model still persists). Such an "anomalous" situation can be manifested, for instance, in the necessity to retain in the right-hand side of terms not only with one of the functions a, b, c (say, a4), as is the case in the "regular" interchange of the Kasner epochs, but simultaneously with two of them (say, a4, b4, a2b2). On emerging from an "anomalous" series of oscillations a succession of regular eras is restored. Statistical analysis of the behavior of the model which is entirely based on regular iterations of the transformations is corroborated by an important theorem: the probability of the appearance of anomalous cases tends asymptotically to zero as the number of iterations s → ∞ (i.e., the time t → 0) which is proved at the end of this section. The validity of this assertion is largely due to a very rapid rate of increase of the oscillation amplitudes during every era and especially in transition from one era to the next one. The process of the relaxation of the cosmological model to the "stationary" statistical regime (with t → 0 starting from a given "initial instant") is less interesting, however, than the properties of this regime itself with due account taken for the concrete laws of the variation of the physical characteristics of the model during the successive eras. | [
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] |
An idea of the rate at which the stationary distribution sets in is obtained from the following example. Let the initial values x(0) be distributed in a narrow interval of width δx(0) about some definite number. From the recurrence relation (or directly from the expansion ) it is easy to conclude that the widths of the distributions ws(x) (about other definite numbers) will then be equal to
(this expression is valid only so long as it defines quantities δx(s) ≪ 1). The mean value , calculated from this distribution, diverges logarithmically. For a sequence, cut off at a very large, but still finite number N, one has . The usefulness of the mean in this case is very limited because of its instability: because of the slow decrease of W(k), fluctuations in k diverge faster than its mean. A more adequate characteristic of this sequence is the probability that a randomly chosen number from it belongs to an era of length K where K is large. This probability is lnK / lnN. It is small if . In this respect one can say that a randomly chosen number from the given sequence belongs to the long era with a high probability. It convenient to average expressions that depend simultaneously on k(s) and x(s). | [
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Since both these quantities are derived from the same quantity x(s–1) (which terminates the preceding era), in accordance with the formula k(s) + x(s) = 1/x(s–1), their statistical distributions cannot be regarded as independent. The joint distribution Ws(k,x)dx of both quantities can be obtained from the distribution ws–1(x)dx by making in the latter the substitution x → 1/(x + k). In other words, the function Ws(k,x) is given by the very expression under the summation sign in the right side of . In the stationary limit, taking w from , one obtains
Summation of this distribution over k brings us back to , and integration with respect to dx to . The recurrent formulas defining transitions between eras are re-written with index s numbering the successive eras (not the Kasner epochs in a given era! ), beginning from some era (s = 0) defined as initial. Ω(s) and ε(s) are, respectively, the initial moment and initial matter density in the s-th era; δ(s)Ω(s) is the initial oscillation amplitude of that pair of functions α, β, γ, which oscillates in the given era: k(s) is the length of s-th era, and x(s) determines the length (number of Kasner epochs) of the next era according to k(s+1) = [1/x(s)]. | [
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According to –
(ξ(s) is introduced in to be used further on). The quantities δ(s) have a stable stationary statistical distribution P(δ) and a stable (small relative fluctuations) mean value. For their determination BKL used (with due reservations) an approximate method based on the assumption of statistical independence of the random quantity δ(s) and of the random quantities k(s), x(s). For the function P(δ) an integral equation was set up which expressed the fact that the quantities δ(s+1) and δ(s) interconnected by the relation have the same distribution; this equation was solved numerically. In a later work, Khalatnikov et al. showed that the distribution P(δ) can actually be found exactly by an analytical method. For the statistical properties in the stationary limit, it is reasonable to introduce the so-called natural extension of the transformation Tx = {1/x} by continuing it without limit to negative indices. Otherwise stated, this is a transition from a one-sided infinite sequence of the numbers (x0, x1, x2, ...), connected by the equalities Tx = {1/x}, to a "doubly infinite" sequence X = (..., x−1, x0, x1, x2, ...) of the numbers which are connected by the same equalities for all –∞ < s < ∞. | [
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Of course, such expansion is not unique in the literal meaning of the word (since xs–1 is not determined uniquely by xs), but all statistical properties of the extended sequence are uniform over its entire length, i.e., are invariant with respect to arbitrary shift (and x0 loses its meaning of an "initial" condition). The sequence X is equivalent to a sequence of integers K = (..., k−1, k0, k1, k2, ...), constructed by the rule ks = [1/xs–1]. Inversely, every number of X is determined by the integers of K as an infinite continued fraction
(the convenience of introducing the notation with an index shifted by 1 will become clear in the following). For concise notation the continuous fraction is denoted simply by enumeration (in square brackets) of its denominators; then the definition of can be written as
Reverse quantities are defined by a continued fraction with a retrograde (in the direction of diminishing indices) sequence of denominators
The recurrence relation is transformed by introducing temporarily the notation ηs = (1 − δs)/δs. Then can be rewritten as
By iteration an infinite continuous fraction is obtained
Hence and finally
This expression for δs contains only two (instead of the three in ) random quantities and , each of which assumes values in the interval [0, 1]. It follows from the definition that . Hence the shift of the entire sequence X by one step to the right means a joint transformation of the quantities and according to
This is a one-to-one mapping in the unit square. | [
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Thus we have now a one-to-one transformation of two quantities instead of a not one-to-one transformation Tx = {1/x} of one quantity. The quantities and have a joint stationary distribution P(x+, x−). Since is a one-to-one transformation, the condition for the distribution to be stationary is expressed simply by a function equation
where J is the Jacobian of the transformation. A shift of the sequence X by one step gives rise to the following transformation T of the unit square:
(with , , cf. ). The density P(x, y) defines the invariant measure for this transformation. It is natural to suppose that P(x, y) is a symmetric function of x and y. This means that the measure is invariant with respect to the transformation S(x, y) = (y, x) and hence with respect to the product ST with ST(x, y) = (x″, y″) and
Evidently ST has a first integral H = 1/x + y. On the line H = const ≡ c the transformation has the form
Hence the invariant measure density of ST must be of the form
Accounting for the symmetry P(x, y)= P(y, x), this becomes f(c)= c−2 and hence (after normalization)
(its integration over x+ or x– yields the function w(x) ). | [
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The reduction of the transformation to one-to-one mapping was used already by Chernoff and Barrow and they obtained a formula of the form of but for other variables; their paper does not contain applications to the problems which are considered in Khalatnikov et al. The correctness of be verified also by a direct calculation; the Jacobian of the transformation is
(in its calculation one must note that ). Since by δs is expressed in terms of the random quantities x+ and x−, the knowledge of their joint distribution makes it possible to calculate the statistical distribution P(δ) by integrating P(x+, x−) over one of the variables at a constant value of δ. Due to symmetry of the function with respect to the variables x+ and x−, P(δ) = P(1 − δ), i.e., the function P(δ) is symmetrical with respect to the point δ = 1/2. Then
On evaluating this integral (for 0 ≤ δ ≤ 1/2 and then making use of the aforementioned symmetry), finally
The mean value = 1/2 already as a result of the symmetry of the function P(δ). Thus the mean value of the initial (in every era) amplitude of oscillations of the functions α, β, γ increases as Ω/2. | [
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The statistical relation between large time intervals Ω and the number of eras s contained in them is found by repeated application of :
Direct averaging of this equation, however, does not make sense: because of the slow decrease of function W(k) , the average values of the quantity exp ξ(s) are unstable in the above sense – the fluctuations increase even more rapidly than the mean value itself with increasing region of averaging. This instability is eliminated by taking the logarithm: the "doubly-logarithmic" time interval
is expressed by the sum of quantities ξ(p) which have a stable statistical distribution. The mean value of τ is . To calculate note that can be rewritten as
For the stationary distribution , and in virtue of the symmetry of the function P(δ) also . Hence
(w(x) from ). Thus
which determines the mean doubly-logarithmic time interval containing s successive eras. For large s the number of terms in the sum is large and according to general theorems of the ergodic theory the values of τs are distributed around according to Gauss' law with the density
Calculation of the variance Dτ is more complicated since not only the knowledge of and are needed but also of the correlations . The calculation can be simplified by rearranging the terms in the sum . By using the sum can be rewritten as
The last two terms do not increase with increasing s; these terms can be omitted as the limiting laws for large s are dominating. Then
(the expression for δp is taken into account). | [
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To the same accuracy (i.e., up to the terms which do not increase with s) the equality
is valid. Indeed, in virtue of
and hence
By summing this identity over p is obtained. Finally again with the same accuracy is changed for xp under the summation sign and thus represent τs as
The variance of this sum in the limit of large s is
It is taken into account that in virtue of the statistical homogeneity of the sequence X the correlations depend only on the differences |p − p′|. The mean value ; the mean square
By taking into account also the values of correlations with p = 1, 2, 3
(calculated numerically) the final result Dτs = (3.5 ± 0.1)s is obtained. At increasing s the relative fluctuation tends to zero as s−1/2. In other words, the statistical relation becomes almost certain at large s. This makes it possible to invert the relation, i.e., to represent it as the dependence of the average number of the eras sτ that are interchanged in a given interval τ of the double logarithmic time:
The statistical distribution of the exact values of sτ around its average is also Gaussian with the variance
The respective statistical distribution is given by the same Gaussian distribution in which the random variable is now sτ at a given τ:
From this point of view, the source of the statistical behavior is the arbitrariness in the choice of the starting point of the interval τ superimposed on the infinite sequence of the interchanging eras. | [
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Respective to matter density, can be re-written with account of in the form
and then, for the total energy change during s eras,
The term with the sum by p gives the main contribution to this expression because it contains an exponent with a large power. Leaving only this term and averaging , one gets in its right hand side the expression which coincides with ; all other terms in the sum (also terms with ηs in their powers) lead only to corrections of a relative order 1/s. Therefore,
By virtue of the almost certain character of the relation between τs and s can be written as
which determines the value of the double logarithm of density increase averaged by given double-logarithmic time intervals τ or by a given number of eras s.
These stable statistical relationships exist specifically for doubly-logarithmic time intervals and for the density increase. For other characteristics, e.g., ln (ε(s)/ε(0)) or Ω(s) / Ω(0) = exp τs the relative fluctuation increase exponentially with the increase of the averaging range thereby voiding the term mean value of a stable meaning. The origin of the statistical relationship can be traced already from the initial law governing the variation of the density during the individual Kasner epochs. According to , during the entire evolution we have
with 1 − p3(t) changing from epoch to epoch, running through values in the interval from 0 to 1. | [
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The term ln Ω = ln ln (1/t) increases monotonically; on the other hand, the term ln2(1 − p3) can assume large values (comparable with ln Ω) only when values of p3 very close to unity appear (i.e., very small |p1|). These are precisely the "dangerous" cases that disturb the regular course of evolution expressed by the recurrent relationships –. It remains to show that such cases actually do not arise in the asymptotic limiting regime. The spontaneous evolution of the model starts at a certain instant at which definite initial conditions are specified in an arbitrary manner. Accordingly, by "asymptotic" is meant a regime sufficiently far away from the chosen initial instant. Dangerous cases are those in which excessively small values of the parameter u = x (and hence also |p1| ≈ x) appear at the end of an era. A criterion for selection of such cases is the inequality
where | α(s) | is the initial minima depth of the functions that oscillate in era s (it would be more appropriate to choose the final amplitude, but that would only strengthen the selection criterion). The value of x(0) in the first era is determined by the initial conditions. Dangerous are values in the interval δx(0) ~ exp ( − |α(0)| ), and also in intervals that could result in dangerous cases in the next eras. | [
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In order for x(s) to fall in the dangerous interval δx(s) ~ exp ( − | α(s) | ), the initial value x(0) should lie into an interval of a width δx(0) ~ δx(s) / k(1)^2 ... k(s)^2. Therefore, from a unit interval of all possible values of x(0), dangerous cases will appear in parts λ of this interval:
(the inner sum is taken over all the values k(1), k(2), ... , k(s) from 1 to ∞). It is easy to show that this era converges to the value λ 1 whose order of magnitude is determined by the first term in . This can be shown by a strong majoration of the era for which one substitutes | α(s) | = (s + 1) | α(0) |, regardless of the lengths of eras k(1), k(2), ... (In fact | α(s) | increase much faster; even in the most unfavorable case k(1) = k(2) = ... = 1 values of | α(s) | increase as qs | α(0) | with q > 1.) Noting that
one obtains
If the initial value of x(0) lies outside the dangerous region λ there will be no dangerous cases. | [
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If it lies inside this region dangerous cases occur, but upon their completion the model resumes a "regular" evolution with a new initial value which only occasionally (with a probability λ) may come into the dangerous interval. Repeated dangerous cases occur with probabilities λ2, λ3, ... , asymptotically converging to zero. General solution with small oscillations
In the above models, metric evolution near the singularity is studied on the example of homogeneous space metrics. It is clear from the characteristic of this evolution that the analytic construction of the general solution for a singularity of such type should be made separately for each of the basic evolution components: for the Kasner epochs, for the process of transitions between epochs caused by "perturbations", for long eras with two perturbations acting simultaneously. During a Kasner epoch (i.e. at small perturbations), the metric is given by without the condition λ = 0. BKL further developed a matter distribution-independent model (homogeneous or non-homogeneous) for long era with small oscillations. The time dependence of this solution turns out to be very similar to that in the particular case of homogeneous models; the latter can be obtained from the distribution-independent model by a special choice of the arbitrary functions contained in it. It is convenient, however, to construct the general solution in a system of coordinates somewhat different from synchronous reference frame: g0α = 0 as in the synchronous frame, but instead of g00 = 1 it is now g00 = −g33. | [
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Defining again the space metric tensor γαβ = −gαβ one has, therefore
The special space coordinate is written as x3 = z and the time coordinate is written as x0 = ξ (as different from proper time t); it will be shown that ξ corresponds to the same variable defined in homogeneous models. Differentiation by ξ and z is designated, respectively, by dot and prime. Latin indices a, b, c take values 1, 2, corresponding to space coordinates x1, x2 which will be also written as x, y. Therefore, the metric is
The required solution should satisfy the inequalities
(these conditions specify that one of the functions a2, b2, c2 is small compared to the other two which was also the case with homogeneous models). Inequality means that components γa3 are small in the sense that at any ratio of the shifts dxa and dz, terms with products dxadz can be omitted in the square of the spatial length element dl2. Therefore, the first approximation to a solution is a metric with γa3 = 0:
One can be easily convinced by calculating the Ricci tensor components , , , using metric and the condition that all terms containing derivatives by coordinates xa are small compared to terms with derivatives by ξ and z (their ratio is ~ γ33 / γab). In other words, to obtain the equations of the main approximation, γ33 and γab in should be differentiated as if they do not depend on xa. Designating
one obtains the following equations:
Index raising and lowering is done here with the help of γab. | [
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The quantities and λ are the contractions and whereby
As to the Ricci tensor components , , by this calculation they are identically zero. In the next approximation (i.e., with account to small γa3 and derivatives by x, y), they determine the quantities γa3 by already known γ33 and γab. Contraction of gives , and, hence,
Different cases are possible depending on the G variable. In the above case g00 = γ33 γab and . The case N > 0 (quantity N is time-like) leads to time singularities of interest. Substituting in f1 = 1/2 (ξ + z) sin y, f2 = 1/2 (ξ − z) sin y results in G of type
This choice does not diminish the generality of conclusions; it can be shown that generality is possible (in the first approximation) just on account of the remaining permissible transformations of variables. At N < 0 (quantity N is space-like) one can substitute G = z which generalizes the well-known Einstein–Rosen metric. At N = 0 one arrives at the Robinson–Bondi wave metric that depends only on ξ + z or only on ξ − z (cf. ). The factor sin y in is put for convenient comparison with homogeneous models. Taking into account , equations – become
The principal equations are defining the γab components; then, function ψ is found by a simple integration of –. The variable ξ runs through the values from 0 to ∞. The solution of is considered at two boundaries, ξ 1 and 1. | [
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At large ξ values, one can look for a solution that takes the form of a 1 / decomposition:
whereby
(equation needs condition to be true). Substituting in , one obtains in the first order
where quantities aac constitute a matrix that is inverse to matrix aac. The solution of has the form
where la, ma, ρ, are arbitrary functions of coordinates x, y bound by condition derived from . To find higher terms of this decomposition, it is convenient to write the matrix of required quantities γab in the form
where the symbol ~ means matrix transposition. Matrix H is symmetric and its trace is zero. Presentation ensures symmetry of γab and fulfillment of condition . If exp H is substituted with 1, one obtains from γab = ξaab with aab from . In other words, the first term of γab decomposition corresponds to H = 0; higher terms are obtained by powers decomposition of matrix H whose components are considered small. The independent components of matrix H are written as σ and φ so that
Substituting in and leaving only terms linear by H, one derives for σ and φ
If one tries to find a solution to these equations as Fourier series by the z coordinate, then for the series coefficients, as functions of ξ, one obtains Bessel equations. The major asymptotic terms of the solution at large ξ are
Coefficients A and B are arbitrary complex functions of coordinates x, y and satisfy the necessary conditions for real σ and φ; the base frequency ω is an arbitrary real function of x, y. | [
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Now from – it is easy to obtain the first term of the function ψ:
(this term vanishes if ρ = 0; in this case the major term is the one linear for ξ from the decomposition: ψ = ξq (x, y) where q is a positive function). Therefore, at large ξ values, the components of the metric tensor γab oscillate upon decreasing ξ on the background of a slow decrease caused by the decreasing ξ factor in . The component γ33 = eψ decreases quickly by a law close to exp (ρ2ξ2); this makes it possible for condition . Next BKL consider the case ξ 1. The first approximation to a solution of is found by the assumption (confirmed by the result) that in these equations terms with derivatives by coordinates can be left out:
This equation together with the condition gives
where λa, μa, s1, s2 are arbitrary functions of all 3 coordinates x, y, z, which are related with other conditions
Equations – give now
The derivatives , calculated by , contain terms ~ ξ4s1 − 2 and ~ ξ4s2 − 2 while terms left in are ~ ξ−2. Therefore, application of instead of is permitted on conditions s1 > 0, s2 > 0; hence 1 − > 0. Thus, at small ξ oscillations of functions γab cease while function γ33 begins to increase at decreasing ξ. This is a Kasner mode and when γ33 is compared to γab, the above approximation is not applicable. | [
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In order to check the compatibility of this analysis, BKL studied the equations = 0, = 0, and, calculating from them the components γa3, confirmed that the inequality takes place. This study showed that in both asymptotic regions the components γa3 were ~ γ33. Therefore, correctness of inequality immediately implies correctness of inequality . This solution contains, as it should for the general case of a field in vacuum, four arbitrary functions of the three space coordinates x, y, z. In the region ξ 1 these functions are, e.g., λ1, λ2, μ1, s1. In the region ξ 1 the four functions are defined by the Fourier series by coordinate z from with coefficients that are functions of x, y; although Fourier series decomposition (or integral?) characterizes a special class of functions, this class is large enough to encompass any finite subset of the set of all possible initial conditions. The solution contains also a number of other arbitrary functions of the coordinates x, y. Such two-dimensional arbitrary functions appear, generally speaking, because the relationships between three-dimensional functions in the solutions of the Einstein equations are differential (and not algebraic), leaving aside the deeper problem about the geometric meaning of these functions. BKL did not calculate the number of independent two-dimensional functions because in this case it is hard to make unambiguous conclusions since the three-dimensional functions are defined by a set of two-dimensional functions (cf. for more details). Finally, BKL go on to show that the general solution contains the particular solution obtained above for homogeneous models. | [
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Substituting the basis vectors for Bianchi Type IX homogeneous space in the space-time metric of this model takes the form
When c2 a2, b2, one can ignore c2 everywhere except in the term c2 dz2. To move from the synchronous frame used in to a frame with conditions , the transformation dt = c dξ/2 and substitution z → z/2 are done. Assuming also that χ ≡ ln (a/b) 1, one obtains from in the first approximation:
Similarly, with the basis vectors of Bianchi Type VIII homogeneous space, one obtains
According to the analysis of homogeneous spaces above, in both cases ab = ξ (simplifying = ξ0) and χ is from ; function c (ξ) is given by formulae and , respectively, for models of Types IX and VIII. Identical metric for Type VIII is obtained from , , choosing two-dimensional vectors la and ma in the form
and substituting
To obtain the metric for Type IX, one should substitute
(for calculation of c (ξ) the approximation in is not sufficient and the term in ψ linear by ξ is calculated)
This analysis was done for empty space. Including matter does not make the solution less general and does not change its qualitative characteristics. A limitation of great importance for the general solution is that all 3-dimensional functions contained in the metrics and should have a single and common characteristic change interval. Only this allows to approximate in the Einstein equations all metric spatial component derivatives with simple products of these components by a characteristic wave numbers which results in ordinary differential equations of the type obtained for the Type IX homogeneous model. | [
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This is the reason for the coincidence between homogeneous and general solutions. It follows that both Type IX model and its generalisation contain an oscillatory mode with a single spatial scale of an arbitrary magnitude which is not selected among others by any physical conditions. However, it is known that in non-linear systems with infinite degrees of freedom such mode is unstable and partially dissipates to smaller oscillations. In the general case of small perturbations with an arbitrary spectrum, there will always be some whose amplitudes will increase feeding upon the total process energy. As a result, a complicated picture arises of multi-scale movements with certain energy distribution and energy exchange between oscillations of different scales. It doesn't occur only in the case when the development of small-scale oscillations is impossible because of physical conditions. For the latter, some natural physical length must exist which determines the minimal scale at which energy exits from a system with dynamical degrees of freedom (which, for example, occurs in a liquid with a certain viscosity). However, there is no innate physical scale for a gravitational field in vacuum, and, therefore, there is no impediment for the development of oscillations of arbitrarily small scales. Conclusions
BKL describe singularities in the cosmologic solution of Einstein equations that have a complicated oscillatory character. Although these singularities have been studied primarily on spatially homogeneous models, there are convincing reasons to assume that singularities in the general solution of Einstein equations have the same characteristics; this circumstance makes the BKL model important for cosmology. | [
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A basis for such statement is the fact that the oscillatory mode in the approach to singularity is caused by the single perturbation that also causes instability in the generalized Kasner solution. A confirmation of the generality of the model is the analytic construction for long era with small oscillations. Although this latter behavior is not a necessary element of metric evolution close to the singularity, it has all principal qualitative properties: metric oscillation in two spatial dimensions and monotonous change in the third dimension with a certain perturbation of this mode at the end of some time interval. However, the transitions between Kasner epochs in the general case of non-homogeneous spatial metric have not been elucidated in details. The problem connected with the possible limitations upon space geometry caused by the singularity was left aside for further study. It is clear from the outset, however, that the original BKL model is applicable to both finite or infinite space; this is evidenced by the existence of oscillatory singularity models for both closed and open spacetimes. The oscillatory mode of the approach to singularity gives a new aspect to the term 'finiteness of time'. Between any finite moment of the world time t and the moment t = 0 there is an infinite number of oscillations. In this sense, the process acquires an infinite character. Instead of time t, a more adequate variable for its description is ln t by which the process is extended to . BKL consider metric evolution in the direction of decreasing time. | [
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The Einstein equations are symmetric in respect to the time sign so that a metric evolution in the direction of increasing time is equally possible. However, these two cases are fundamentally different because past and future are not equivalent in the physical sense. Future singularity can be physically meaningful only if it is possible at arbitrary initial conditions existing in a previous moment. Matter distribution and fields in some moment in the evolution of Universe do not necessarily correspond to the specific conditions required for the existence of a given special solution to the Einstein equations. The choice of solutions corresponding to the real world is related to profound physical requirements which is impossible to find using only the existing relativity theory and which can be found as a result of future synthesis of physical theories. Thus, it may turn out that this choice singles out some special (e.g., isotropic) type of singularity. Nevertheless, it is more natural to assume that because of its general character, the oscillatory mode should be the main characteristic of the initial evolutionary stages. In this respect, of considerable interest is the property of the "Mixmaster" model shown by Misner, related to propagation of light signals. In the isotropic model, a "light horizon" exists, meaning that for each moment of time, there is some longest distance, at which exchange of light signals and, thus, a causal connection, is impossible: the signal cannot reach such distances for the time since the singularity t = 0. Signal propagation is determined by the equation ds = 0. | [
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In the isotropic model near the singularity t = 0 the interval element is , where is a time-independent spatial differential form. Substituting yields
The "distance" reached by the signal is
Since η, like t, runs through values starting from 0, up to the "moment" η signals can propagate only at the distance which fixes the farthest distance to the horizon. The existence of a light horizon in the isotropic model poses a problem in the understanding of the origin of the presently observed isotropy in the relic radiation. According to the isotropic model, the observed isotropy means isotropic properties of radiation that comes to the observer from such regions of space that can not be causally connected with each other. The situation in the oscillatory evolution model near the singularity can be different. For example, in the homogeneous model for Type IX space, a signal is propagated in a direction in which for a long era, scales change by a law close to ~ t. The square of the distance element in this direction is dl2 = t2, and the respective element of the four-dimensional interval is . The substitution puts this in the form
and for the signal propagation one has equation of the type again. The important difference is that the variable η runs now through values starting from (if metric is valid for all t starting from t = 0). Therefore, for each given "moment" η are found intermediate intervals Δη sufficient for the signal to cover each finite distance. In this way, during a long era a light horizon is opened in a given space direction. | [
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Although the duration of each long era is still finite, during the course of the world evolution eras change an infinite number of times in different space directions. This circumstance makes one expect that in this model a causal connection between events in the whole space is possible. Because of this property, Misner named this model "Mixmaster universe" by a brand name of a dough-blending machine. As time passes and one goes away from the singularity, the effect of matter on metric evolution, which was insignificant at the early stages of evolution, gradually increases and eventually becomes dominant. It can be expected that this effect will lead to a gradual "isotropisation" of space as a result of which its characteristics come closer to the Friedman model which adequately describes the present state of the Universe. Finally, BKL pose the problem about the feasibility of considering a "singular state" of a world with infinitely dense matter on the basis of the existing relativity theory. The physical application of the Einstein equations in their present form in these conditions can be made clear only in the process of a future synthesis of physical theories and in this sense the problem can not be solved at present. It is important that the gravitational theory itself does not lose its logical cohesion (i.e., does not lead to internal controversies) at whatever matter densities. | [
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] |
In other words, this theory is not limited by the conditions that it imposes, which could make logically inadmissible and controversial its application at very large densities; limitations could, in principle, appear only as a result of factors that are "external" to the gravitational theory. This circumstance makes the study of singularities in cosmological models formally acceptable and necessary in the frame of existing theory. Notes
References
Bibliography
; English translation in
; Physical Review Letters, 6', 311 (1961)
; English translation in
];
General relativity
Physical cosmology
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Lancaster Laboratories Inc., is one of the largest contract laboratories in the United States. They specialize in pharmaceutical and environmental analytical services. Headquartered near Lancaster, Pennsylvania, the company employs 45,000 employees worldwide. Their clients include businesses, industries, and consultants in more than 40 countries, including 19 of the 20 largest pharmaceutical companies in the world. History
Lancaster Laboratories was founded by Dr. Earl H. Hess in 1961 as a lab with three employees, including the first lab tech, John Snyder. Earl Hess opened the company intending to provide analytical services to area agribusinesses and industries. The company claims several distinctions:
They were the first laboratory accredited by the American Association for Laboratory Accreditation
They prepared the first qualifications manual in the lab industry and implemented a total quality management system in 1989
They pioneered computerized Laboratory Information Management Systems in the 1970s and designed a model automated system for retrieval and storage of samples — the only laboratory to have such a system
Dr. Hess retired in 1995, selling Lancaster Laboratories to Thermo TerraTech. The company was again sold in 2000 to Goldner Hawn Johnson & Morrison and yet again in August 2005 to Fisher Scientific. Fisher Scientific was acquired by Thermo Electron in 2007 to form Thermo Fisher Scientific. Eurofins Scientific acquired the company in 2011. Dr. J. Wilson Hershey serves as Chairman of the Board. Tim S. Oostdyk serves as President. See also
Companies based in Lancaster, Pennsylvania
Laboratory information management system
Contract research organizations | [
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MV Balmoral is a vintage excursion ship owned by MV Balmoral Fund Ltd., a preservation charity. Her principal area of operation is the Bristol Channel, although she also operates day excursions to other parts of the United Kingdom. The Balmoral is included on the National Historic Ships register as part of the National Historic Fleet. History
Balmoral was built as a ferry by John I. Thornycroft & Company at Woolston in 1949, for the Southampton, Isle of Wight and South of England Royal Mail Steam Packet Co. Limited, more normally known as the Red Funnel line. As built, Balmoral could carry up to 10 cars on her aft car deck, and she normally operated on her owner's ferry service from Southampton on the English mainland to Cowes on the Isle of Wight. From her introduction she also occasionally performed excursion duties, but as dedicated car ferries were introduced to her main route, her role became more focussed on offering coastal cruises around the South Coast. Red Funnel ceased operating excursions in 1968, after which Balmoral was acquired by P & A Campbell. She moved to the Bristol Channel, where she became part of P&A Campbell's White Funnel Fleet until 1980, by which time she was the last working member of the fleet. Balmoral moved to Dundee to become a floating restaurant. This was unsuccessful and the ship was placed for sale again. Preservation
At this time the Waverley Steam Navigation Co. Ltd were looking for another vessel to operate alongside the world's last seagoing paddle steamer, . Balmoral was purchased by them and subjected to a major refit. | [
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As part of this, her car deck was enclosed to form an area that is now in use as a dining saloon. Balmoral returned to the Bristol Channel in 1986. Since then the ship has operated a summer season of excursions around the Bristol Channel, with visits to most areas of the UK. In winter 2002, Balmoral received new engines, her original twin 6-cyl Newbury Sirron diesels were removed and replaced with a pair of Danish-built Grenaa diesel engines. This work was partially funded by a grant from the Heritage Lottery Fund. Balmoral can now accommodate up to 800 passengers and has a self-service restaurant on board, along with two licensed bars, a heated observation lounge and a souvenir shop. Refit
In December 2012 Waverley Excursions and Waverley Steam Navigation announced that Balmoral would not be sailing in 2013. The ship's operation has been hampered increasingly in recent years by extreme weather conditions. In 2015, ownership of MV Balmoral was transferred to a new registered charity MV Balmoral Fund Limited, and she is now operated by their subsidiary, White Funnel Ltd. Following a refit costing over £300,000 and with help from a Coastal Communities Fund Grant, Balmoral started public sailing again on 19 June 2015. It was announced in December 2017 that she would not be sailing in 2018 as she requires major hull plating work. In popular culture
Balmoral appeared in the 2018 film The Guernsey Literary and Potato Peel Pie Society. | [
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Balmoral was also hired in the 2017 drama Another Mother's Son, featuring Ronan Keating and John Hannah
She also features in the 2019 film Stan and Ollie, a biographical comedy-drama based on the lives of the comedy double act Stan Laurel and Oliver Hardy. In Television, she featured in BBC One's Easter 1916: The Enemy Files, starring Michael Portillo. Gallery
See also
List of classic vessels
References
External links
- MV Balmoral Fund
Passenger ships of the United Kingdom
Bristol Channel
Bristol Harbourside
1949 ships
Ships and vessels of the National Historic Fleet
Ships of Red Funnel Ferries
Ships built by John I. Thornycroft & Company | [
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9999 is the natural number following 9998 and preceding 10000. 9999 is an auspicious number in Chinese folklore. Many estimations of the rooms contained in the Forbidden City point to 9999. Chinese tomb contracts often involved being buried with 9999 coins, a practice related to Joss paper, as it was believed the dead would need that amount to buy the burial plot from the Earth goddess. 9999 is also the emergency telephone number in Oman. Mathematics
9999 can be used as a divisor to generate 4-digit decimal recurrences. For example, 1234 / 9999 = 0.123412341234... . 9999 is a Kaprekar number. Computer and software
9999 was the last possible line number in some older programming languages such as BASIC. Often the line "9999 END" was the first line written for a new program. Some very old software used "9999" as end of file, however no problems occurred September 9, 1999
Videogames
The King of Fighters character K9999 has the number on his name, although it is read as "kay-four-nine". In Final Fantasy and other RPGs, 9999 is often the maximum damage or healing number the game is allowed to calculate. References
Integers | [
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Carbide.c++ is a software development tool for C++ development on Symbian OS. It is used to develop phones that use the OS, as well as applications that run on those phones. It is based on the Eclipse IDE platform enhanced with extra plug-ins to support Symbian OS development. The product is provided by the Symbian Foundation under an open source model. In April 2009, Nokia transferred Carbide.c++ and many other software developer tools to the Symbian Foundation. Members of the Symbian community now manage and contribute code to the Carbide.c++ product. Tool packages
Carbide.c++ is provided by the Symbian Foundation in two different tool packages. Application Development Toolkit (ADT) contains tools for application development, including the IDE, debugger, and analysis tools. Product Development Toolkit (PDT) contains tools for contribution and product creation. Both the ADT and PDT are basic installers that include Carbide.c++, several Eclipse-based plug-ins and several stand-alone tools. ADT/PDT v1 contains Carbide.c++ v2.0.4
ADT/PDT v2 (Q4 2009) is targeted to contain Carbide.c++ v2.2
Technology
Carbide.c++ is based on the latest versions of Eclipse IDE and Eclipse CDT extended with Symbian OS -specific features. Currently it supports the WINSCW x86 C++ compiler found in CodeWarrior for production of emulator binaries. For target binaries it supports GCC, and ARM RVCT compilers (sold separately). The WINSCW and GCC compilers are actually provided in the SDK and not explicitly included in the Carbide IDE. Carbide.c++ has branched very few parts of CDT - nearly all of it is contained within added plug-ins added on top of Eclipse. | [
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The few branches mostly relate to the different semantics of the CodeWarrior debugger engine, compared to GDB which is what Eclipse previously supported. Because Carbide.c++ is very similar to a standard Eclipse installation, it can still be used for other types of development such as Java or Perl (provided the correct plug-ins are installed using Eclipse's self-update mechanism). Similarly, it ought to be possible to produce a product with similar functionality to Carbide.c++ by moving the Carbide.c++ plug-ins into a standard Eclipse installation; this is not currently a facility offered by Nokia. Carbide.c++ supports the Symbian Build System v1 and v2 (aka Raptor). The former is a perl-based build system and the latter is built using Python and supports the next generation Symbian OS operating systems. The main advantage of supporting SBSv1 and v2 in Carbide is users can create command-line builds in parallel with IDE builds and not have to manage two different workspaces. The disadvantage of SBSv1 is dependency checking is automatic on every build and re-building large projects to take a while. Carbide.c++ built in some short cuts (starting with v1.3) to speed up rebuilds. Early versions of Carbide (v1.0, 1.1) supported a different build method which had many problems. History
Carbide.c++ development tools family was created to replace CodeWarrior for Symbian OS as the primary development environment for Symbian OS. Adoption of the tool has been slow but CodeWarrior usage is diminishing since the older tool no longer supports the latest changes to Symbian OS and S60 platforms. Carbide was provided as three commercial products and one free product. | [
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Today the product is part of the Symbian Foundation offering and is completely free. Express—Basic tools for application development. Contains project management, code authoring, emulator & GCC-E builds, and emulator debugging. The Express edition was provided for free and did not support development directly on production phones. Developer Edition—Targeted at aftermarket software development. Contained Express features, a UI Designer (for rapid UI creation), and application-level on-device debugging for S60 and UIQ phones. Professional—Targeted at Symbian OS phone manufacturers, their partners, and application/middleware vendors working on demanding projects. Contained Developer features, system-level on-device debugging, and performance profiling tools. OEM—Targeted at early-access embedded development such as driver-development, base porting, and hardware-dependent application and middleware development. Contained Professional features, and stop-mode debugging using Lauterbach and Sophia in-circuit emulators. The products ranged in price from 300 to 8000 Euros depending on features set and licensing model. Carbide had a slow reception to the Symbian community. Developers are generally not fond of moving to new tools and early versions of Carbide had problems. There were several frequently cited complaints - for example, lack of Symbian-OS-style code indenting, lack of an easy "find in files" facility, speed of import of Symbian OS build files (MMPs), and difficulties using on-device debugging. In addition, the much-anticipated Managed Build System did not work properly - rather than offering a true incremental build, it frequently deleted everything and started again. | [
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