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4.4. Suppose Ct is a general pencil of smooth genus g plane curves acquiring an ordinary cusp (a singularity whose local equation is given by y2 = x3). Describe the stable limit of this family of curves. Exercise 4.5. Read and do the exercises in Chapter 3 Section C of [HM]. 5. Deligne-Mumford Stacks In this secti...
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ζ), then there is a unique morphism π : C ≤ � C ≤≤ such that ω ∩ π = ζ and p(π ) = f . Example 5.2. Recall that a Deligne-Mumford stable curve (or simply a stable curve) of genus g → 2 over a scheme S is a proper, flat family β : C � S whose geometric fibers are reduced, connected, one dimensional schemes Cs satisfyi...
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and � is an element of the set F (X). A morphism between (X, �) and (Y, λ) is a morphism f : X � Y such that F (f )(λ) = �. In particular, this construction allows us to view schemes as groupoids. To a scheme X we can associate its functor of points Hom(�, X). Since this is a contravariant functor from schemes to s...
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� � B, the set of isomorphisms in T (B≤) between f �(X) and f �(Y ). In the case of Deligne-Mumford stable curves, given any two stable curves C and C ≤ , IsomX (C, C ≤) associates to any morphism f : Y � X the set of isomorphisms between f �(C) and f �(C ≤). Recall that C and C ≤ are both canonically polarized by...
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/G] defined in Example 5.4 is a stack. Let e, e≤ be two objects in [X/G](Y ) corresponding to two principal G-bundles E, E ≤ � Y with G-equivariant maps f, f ≤ to X, respectively. IsomY (e, e≤) is empty unless E = E≤ and f = f ≤ . In the latter case the isomorphisms correspond to the subgroup of G that stabilizes th...
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each scheme as a stack. In the litterature stacks that arise this way are usually referred to as schemes meaning that the stack associated to the scheme. We will also indulge in this habit. A morphism of stacks f : T � T ≤ is representable if for any map of a scheme X � T ≤ the fiber product T ×T  X is represented...
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surjective S-morphism U � F . 15 The F is a Deligne-Mumford stack. A consequence of this theorem is that if X/S is a Noetherian scheme of finite type and G/S is a smooth group scheme acting on X with with finite and reduced stabilizers, then [X/G] is a Deligne-Mumford stack. The conditions on the stabiliz­ ers (th...
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of g1 and g2. Theorem 5.11 (The valuative criterion of properness). If f is separated, then f is proper if and only if, for any discrete valuation ring R with field of fractions K and any map Spec R � T which lifts over Spec K to a map to T , there is a finite extension K ≤ of K such that the lift extends to all of S...
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to directly take the G.I.T. quotient of the Hilbert scheme parameterizing n-canonically embedded stable curves. The advantage of the first approach is that it does away 16 � � � with delicate calculations describing the stable and semi-stable loci of this action. The first approach may also be used to construct mod...
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geometrically reductive if for every linear action of G on kn and every non-zero invariant point v ⊗ kn, there exists an invariant homogeneous polynomial that does not vanish on v. The group is called linearly reductive if the homogeneous polynomial may be taken to have degree one. Finally a group is called reducti...
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in the subspace spanned by the Hi. Pick a basis for this subspace h1, . . . , hn. We obtain a rational representation of G on this subspace, hence a linear action on kn making the morphism β : X � kn given by β(x) = (h1(x), . . . , hn(x)) into a G-morphism. Since G is geometrically reductive there is an invariant p...
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ductive group acting rationally on a finitely generated k-algebra R. Then the ring of invariants RG is finitely generated. In view of these theorems A(X)G is finitely generated. Hence we can let Y = Spec A(X)G . The inclusion of A(X)G � A(X) induces a morphism ζ : X � Y . � The claimed properties are easy to check f...
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If not, we can replace it by a minimal G-invariant subspace, which is finite-dimensional by the argument in Lemma 6.1.) We thus obtain a linear G action on the subspace spanned by fi by setting Let S = k[X1, . . . , Xn]. There is an action of G on S by setting f g = i � j �i,j (g)fj . X g = i � j �i,j (g)Xj ....
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for confusion between hg and (h)t . The first denotes the g-translate of h, the second denotes the t-th power of h. To distinguish between these two, we will put paren­ theses around h in the latter case.] Since J is invariant, hg − h is in J for every g. We conclude that M ≤ J has codimension 1 in M . We can write e...
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finite RG/(J ≤ RG)-module. Choose a non-zero homogeneous element f of RG of degree at least one. If f is not a zero-divisor, f R ≤ RG = f RG . Since RG/f RG is finitely generated, (RG/f RG)+ is finitely generated as an ideal. Hence RG is finitely generated as an + ideal in RG . Hence RG is a finitely generated k-algebr...
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matrices Mn by conjugation. The space of matrices is isomorphic to affine space An . Hence, the coordinate ring is k[ai,j ], 1 ∼ i, j ∼ n. Any conjugacy class 19 2 has a representative in Jordan canonical form which is unique upto a permutation of the Jordan blocks. Since the set of eigenvalues of a matrix is invar...
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on X. Definition 6.9. A point x ⊗ X is called semi-stable if there exists an invariant homogeneous polynomial that does not vanish on x. A point x ⊗ X is called stable if there exists an invariant polynomial f that does not vanish on x, the action of G on Xf is closed and the dimension of the orbit of x is equal to ...
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is important to determine the stable and semi-stable loci for reductive group actions on projective varieties. Unfortunately, this in gen­ eral is a very difficult problem. There is one instance where stability and semi- stability is easy to determine. Definition 6.12. A one-parameter subgroup is a homomorphism � : Gm �...
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1 given by sending g to gˆ x is a lift of x is not proper. By the g ⊗ SL(m, K) such that ¯x ⊗ Rn+1 , valuative criterion of properness, there exists ¯ but ¯ ⊗ SL(m, R). We can, however, clear denominators so that T rg¯ ⊗ SL(m, R) for some r. The ring R is a P.I.D., hence we can decompose ¯ = g¯1dg¯2 where g1 and g2 a...
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as a basis of K n+1 . Then g −1dg2ei = T ri ei. In particular, 2 −1 g¯ = g −1 g¯1dg¯2 = (g −1dg2)g xi � g¯1 −1 g 2 Therefore, the i-th component of g −1 g¯1 −1 g 2 in R, we conclude that ri → 0. −1 2 g¯1 2 ¯ x. Consequently, the i-th component of g −1 g2 ˆ g2 ˆ 2 gˆ g¯2. −1 ¯x is T ri times the i-th compon...
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is stable if and only if it does not have any zeros with multiplicity → d/2. Similarly, a homogeneous polynomial is semi-stable if and only if it does not have any zeros with multiplicity > d/2. d−i i j Example 6.16 (Cubic plane curves). Consider the action of SL(3) on the homo­ geneous polynomials of degree 3 in t...
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the stable locus in this case constructs the j-line. 3 Exercise 6.17. Try to generalize the previous example to the action of SL(3) on homogeneous polynomials of degree 4, 5, 6, .... In particular, describe what kinds of singularities are allowed on stable curves of degree 4, 5, 6... 6.2. The construction of M g ...
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(n + 1) on Pl¨ ucker coordinate { Yj1 , . . . , YjP (m) } where Yji = is given by mji ,r xr r � � wr mji ,r. � i,r The Hilbert-Mumford criterion for semi-stability then translates to the condition that for each one parameter subgroup, there should be a non-vanishing Pl¨ucker coordinate whose weight is non-pos...
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has h1 = 0). (4) If C ≤ is a complete subcurve of C of arithmetic genus g≤ meeting the rest of the curve C in k points, then the following estimate holds degC (OC (1)) − d g − 1 k (gC − 1 + ) 2 k . 2 ∼ � � � � � � � � Remark 6.20. Observe that if C ≤ is a smooth rational curve meeting the rest of the cur...
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−g is a connected curve with semi-stable m-th Hilbert point, then C is potentially stable. The proof of this theorem is quite lengthy eventhough the strategy is straight­ forward. We suppose C has a geometric property that violates potential stability. Under this assumption we construct a one-parameter subgroup that...
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H ssˆ . Proof. To show that H ss is closed we need to show that the inclusion H ss � ˆ H ss is proper. By the valuative criterion of properness it suffices to check that given a map from the spectrum of a DVR to ˆH ss whose generic point lies in H ss, the closed point also lies in H ss . Given such a map consider the ...
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degD (OCR (1)) − degC (OCR (1)|C )   2 degC 2 (�|C 2 ) 2 degD (�|C 2 ) ∼ k . 2 � Lemma 6.23. Every curve C whose Hilbert point lies in H ss is Deligne-Mumford stable. Proof. By the potential stability theorem C is semi-stable. In order to show that it is stable we need to check that there are no ra...
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scheme ˆH ss by the action of the special linear group is projective, after a base change we can extend the map to ˆH ss . Since H ss is closed, the image of the map lies in H ss . Pulling back the universal curve we obtain a semi-stable reduction of a family of stable curves. By the uniqueness of semi-stable reduct...
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gebrizable and the generic fiber is smooth. ˜ Let [C] ⊗ H ss be a point. Let C be the universal formal deformation of C over B = Spec k[[t1, . . . , tr]]. Set S be the formal completion of H ss at [C]. By the universal property of the Hilbert scheme we get a map S � H ss . By the universal property there exists a un...
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exhibit every smooth curves as a branched cover of P1 . When the number of branch points is large relative to the degree of the map, using the combinatorics of the symmetric group one may show that the space of branched covers of P1 is irreducible. Suppose now that the characteristic of the field k is positive. Let ...
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contained in a hyperplane. If the curve is degenerate, then the map H 0(OPn (1)) � H 0(Cred, OCred (1)) has non-trivial kernel. Use the filtration that assigns weight −1 to sec­ tions vanishing on Cred and weight w > 0 to the others so that the average weight is 0. There exists an integer q such that the q-th power o...
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potential stability hold. The final step is to show that the estimate in (4) holds. This is done by showing that if not the filtration FC is destabilizing. References [Ab] [DM] [Ed] [Fan] [G] [Gr] S. S. Abhyankar. Resolution of singularities of arithmetical surfaces. In Arithmetical Algebraic Geometry (Proc. C...
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emes d’existence en g´ emas de Hilbert. In S´ alg´ 221, 249–276. Soc. Math. France, Paris, 1995. etrie eminaire Bourbaki, Vol. 6, pages Exp. No. ebrique. IV. Les sch´ eom´ eor` [Hab] W. J. Haboush. Reductive groups are geometrically reductive. Ann. of Math. (2) [HM] [Ha] [KM] [K] 102(1975), 67–83. J. Harris a...
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algebraic geometry. In Snowbird lectures in algebraic geometry, volume 388 of Contemp. Math., pages 119–136. Amer. Math. Soc., Providence, RI, 2005. [Li] [Mum1] D. Mumford. Further pathologies in algebraic geometry. Amer. J. Math. 84(1962), 642– 648. [Mum2] D. Mumford. Lectures on curves on an algebraic surface. ...
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MIT OpenCourseWare http://ocw.mit.edu 6.641 Electromagnetic Fields, Forces, and Motion, Spring 2005 Please use the following citation format: Markus Zahn, 6.641 Electromagnetic Fields, Forces, and Motion, Spring 2005. (Massachusetts Institute of Technology: MIT OpenCourseWare). http://ocw.mit.edu (accessed MM DD, ...
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]. Q inside V = − (cid:118)∫ q N d S i da = ∫ ρP dV V paired charge or equivalently polarization charge density Qinside V = − P i da = − ∇ i P dV = (cid:118)∫ S ∫ V ρ dV P ∫ V (Divergence Theorem) P = q N d ∇ i P = −ρP B. Gauss’ Law ∇ i (ε E) = ρ o total = ρ + ρ = ρ − ∇ i P u P u unpaired charge densit...
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su sp S V D. Polarization Current Density ∆Q = q N dV = q N d da i = P i da [Amount of Charge passing through surface area element da ] d ip = ∂∆Q ∂t = ∂P ∂t i da = Jp i da polarization current density [Current passing through surface area element da ] Jp = ∂P ∂t Ampere’s law: ∇ x H = Ju + Jp + εo...
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θ) = ε E (r = R, o r θ) = − ε ∂Φ o ∂r r R = = ε oEo ⎡ ⎢1 + ⎣ 3 2R 3 r ⎤ ⎥ cos r R ⎦= θ = εo o 3 E cos θ 6.641, Electromagnetic Fields, Forces, and Motion Prof. Markus Zahn Lecture 7 Page 5 of 27 IV. Artificial Dielectric E = v d , σ = ε E = s ε v d q = σsA = ε A d v C = q v = ε A d E d ...
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lectric constant) ε ε= r ε o ε = ⎡1 + ψ ⎤ = ε e ⎦ o ⎣ ⎛ ⎛ ⎜1 + π 4 ⎜ o ⎜ ⎝ ⎝ R s 3 ⎞ ⎞ ⎟ ⎟ ⎟ ⎠ ⎠ 6.641, Electromagnetic Fields, Forces, and Motion Prof. Markus Zahn Lecture 7 Page 6 of 27 V. Demonstration: Artificial Dielectric Courtesy of Hermann A. Haus and James R. Melcher. Used with permission. 6....
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x 10 − 12 farads/m ω = p− 2q n − m − ε − ≈ 5.6 x 10 11 rad/s fp − = ωp − ≈ 9 x 10 2π 10 Hz 6.641, Electromagnetic Fields, Forces, and Motion Prof. Markus Zahn Lecture 7 Page 9 of 27 B. Drift-Diffusion Conduction [Neglect inertia] 0 m + +dv dt = q E + − m ν v − + + + + ∇ (n k T ) n+ ⇒ v...
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+ D − = k T m − ν − charge mobilities Molecular Diffusion Coefficients D + = µ + D − = µ − k T = thermal voltage (25 mV @ T ≈ 300o K) q Einstein’s Relation 6.641, Electromagnetic Fields, Forces, and Motion Prof. Markus Zahn Lecture 7 Page 10 of 27 C. Drift-Diffusion Conduction Equilibrium (J+ = J−...
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∇ Φ − Φ 2 = 0 L d 1 ∂ ⎛ 2 ∂Φ ⎞ r r2 ∂r ⎜ ∂r ⎟ ⎠ ⎝ = 1 ∂2 r ∂r 2 (r Φ) E. Ohmic Conduction ⇒ d2 ) ( dr2 r Φ − r Φ L2 d = 0 0 r Φ = A e 1 −r / Ld + A e 2 +r / L d Φ ( )r = Q 4 π ε r −r / L d e J = ρ µ E + + + − D + ∇ρ + J = −ρ µ E − − − − D − ∇ρ − If charge density gradients small, then ∇ρ ± ...
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− Φ = n p 2 q ND xn 2ε + 2 q NA xp 2ε = q ND xn 2ε (xn + xp ) = q N D xn 2ε 2 ⎛ ⎜1 + ⎝ ND ⎞ ⎟ NA ⎠ 6.641, Electromagnetic Fields, Forces, and Motion Prof. Markus Zahn Lecture 7 Page 15 of 27 VII. Relationship Between Resistance and Capacitance In Uniform Media Described by ε and σ . C = uq v ...
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R 2 4 π σ R = , C = 4 π ε 1 1 − R 1 R 2 ε ⇒ RC = σ 6.641, Electromagnetic Fields, Forces, and Motion Prof. Markus Zahn Lecture 7 Page 17 of 27 VIII. Change Relaxation in Uniform Conductors ∇ i Ju + ∂ ρ ∂ t u = 0 ρ ∇ i E = u ε J = u σ E σ ∇ i E + ∂ ρ ∂ t u = 0 ⇒ ∂ ρ u ∂ t + σ ε ρ = 0 u ρ u ...
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. Markus Zahn Lecture 7 Page 19 of 27 ρu (t = 0) = ρ0 r R 1< 0 r > R 1 Q T = 4 3 π R 1 3 ρ0 ( ) ρu t = ρ e t 0 − τ e r < R 1 (τ = ε σ) e 0 r > R 1 − τ ρ0 r e t e 3 ε = Q r e t e − τ 4 π ε R 3 1 0 < r < R 1 r ( E r, t ) = Q e t e − τ 4 π ε r 2 Q 4 π ε0 r 2 R < 1 r R < 2 r > R 2 σ su ...
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�� ⎢ ⎥ ⎥ ⎢ ⎥ ⎥ ⎢V(cid:108) ⎥ ⎥ ⎢ ⎥ ⎥ ⎢ ⎥ ⎥ V(cid:108) n C i 3 ⎥ ⎦ ⎢ ⎦ ⎣ 2 = 0 ⎡n Ci ⎢ ⎢ ⎢0 ⎢ ⎢ ⎢ ⎣Cs Cs n C i 0 det = 0 From Electromagnetic Field Theory: A Problem Solving Approach, by Markus Zahn, 1987. Used with permission. 6.641, Electromagnetic Fields, Forces, and Motion Prof. Markus Zahn Le...
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, Electromagnetic Fields, Forces, and Motion Prof. Markus Zahn Lecture 7 Page 23 of 27 XII. Maxwell’s Capacitor A. General Equations _ ( ) x E t i a 0 < x < a _ ( ) x E t i b − b x < 0 < E = a ∫ x E d = v t = E t b + E t a a x b ( ) ( ) ( ) −b ⎡ i ⎣ a n J − Jb ⎤ + ⎦ dσsu = 0 ⇒ σ E ( ) − σ E...
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+ σ + ⎜ a ⎝ σ a ⎞ b E t ⎟ a b ⎠ ( ) = ( ) ε b v t σ b dv + b dt b 6.641, Electromagnetic Fields, Forces, and Motion Prof. Markus Zahn Lecture 7 Page 24 of 27 B. Step Voltage: v t ( ) = V u t ( ) Then dv dt = V δ t (an impulse) ( ) At t=0 ⎛ ⎜εa + ⎝ εb εba dE a = dv ⎞ ⎟ b dt b ⎠ dt ε...
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σ + ω ε + j Ea ⎢ a ⎣ a a (σ + ω b j ε )⎤ ⎥ ⎦ b b = V(cid:108) b ⎣ b ⎡σ + ω ε ⎤ = 0 j b ⎦ E(cid:3) j ω ε + σ a b b = E(cid:3) j ω ε + σ b a a = V(cid:108) ⎡b (σ + ω ⎣ j ε ) + a (σ + ω ε )⎤ b ⎦ j a a b σ(cid:3) su = ε E(cid:3) − ε E(cid:3) b a b a = (ε σ − ε σ ) V(cid:108) b (σ + ω ε ) + a ⎡ ...
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, C = b b b 6.641, Electromagnetic Fields, Forces, and Motion Prof. Markus Zahn Lecture 7 Page 27 of 27
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18.997 Topics in Combinatorial Optimization March 4, 2004 Lecture 8 Lecturer: Michel X. Goemans Scribe: Constantine Caramanis This lecture covers the proof of the Bessy-Thomass´e Theorem, formerly known as the Gallai Conjecture. Also, we discuss the cyclic stable set polytope, and show that it is totally dual int...
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cycle C, denoted iO(C), is the number of backward arcs in C. Recall from the last lecture that the index is well defined, since the index is invariant under the equivalence operations defined above. 4. We say that an ordering O is valid if for any arc (u, v) ∈ A, there exists a cycle C containing that arc, with index...
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, A), and a valid ordering O, if αO denotes the size of the largest cardinality cyclic stable set, then � αO = min iO(Ci), where the cycles {C1, . . . , Cp} cover the vertex set V . {C1,...,Cp} The inequality αO ≤ min � iO(Ci), {C1,...,Cp} is straightforward (as each vertex of a cycle stable set must be con...
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the right hand This follows because we can can compute the quantity min side of the theorem above, efficiently. We can do this by formulating a network flow problem that computes the minimization. To do this, fix an enumeration of the ordering. Attach a cost of 0 to every forward arc in the digraph under the given enum...
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is a cyclic stable set. Suppose, to the contrary, that S has no forward arcs, but S is not a cyclic stable. Let vi Proof: be the first element of the enumeration in S. If we rotate the enumeration so that vi becomes v1, no forward paths are either created or destroyed in S, so we may assume, without loss of general...
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enumeration with respect to which as many elements of S as possible are the first elements of the enumeration. Since S is assumed not to be a cyclic stable set, there must be some element w sandwiched by elements of S. the enumeration, by S> the remaining elements of S, and by W the elements after the last element o...
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, to w. However, there also can be no arc from w to any vertex before it in the enumeration. This follows because O was assumed to be a valid ordering. If there were such an arc, say (w, v) for v earlier in the enumeration, because we assume there are no forward arcs from any vertex coming before w, to w, and that w...
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enumeration. Therefore W must be empty, and S is indeed a cyclic stable set. We now move to the proof of the Bessy-Thomass´e Theorem. Proof: The Main Idea: We want to show that the size of the maximum cyclic stable set equals the minimum total index of a family of cycles covering V . Essentially the proof relies on...
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the given ordering. (cid:1) We form an acyclic digraph D(cid:1) = (V (cid:1), A(cid:1)) from D as follows. Let V (cid:1) = {v1, . . . , vn, v1, . . . , vk (cid:1) } (we duplicate the elements of S) so that |V (cid:1)| = n + k. Next, if (v, w) ∈ A is a forward arc, then (v, w) ∈ A(cid:1). If (w, vi ) ∈ A is a backw...
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, . . . , vk } and 8-4 (cid:1) (cid:1) {v1, . . . , vk } have no incoming and outgoing arcs, respectively, they are both antichains in T . This is also evident from Figure 2. We show that they are in fact maximum size antichains. Consider any antichain I. As the ordering is valid, for any vert...
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are no forward paths between any two elements of ID . Therefore, by Lemma 2, ID is a cyclic stable set. Therefore ID , and consequently I, can have size at most equal to the size of S, that is, αO . We have thus shown that the size of the largest antichain in T is equal to the cyclic stability number αO of D. Now c...
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proof is complete. If this is not the case, then a cycle in D obtained by joining together the paths Pi that correspond to a cycle of σ may in fact intersect itself. Suppose that i and j are in the same cycle of σ and the paths Pi and Pj intersect, in say v. We can then replace the paths Pi and Pj by two other path...
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x(C) ≤ iO(C), ∀ directed cycles C P = x � xv ≥ 0, ∀v ∈ V � . We show in this section that the polytope P is totally dual integral (TDI) (see lecture 5 for more on TDI system of inequalities). Given a cyclic stable set S (cyclic stable with respect to the given ordering), let xS denote its incidence vector, i.e.,...
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� ≤ min : � C s.t. : iO(C)yC C : v∈C yC ≥ 0, ∀C yC ∈ {0, 1}. yC ≥ 1, ∀v ∈ V But this last quantity is exactly the minimum total index of a cycle cover of V , and thus by the Bessy-Thomass´e Theorem, the final quantity equals αO . Therefore equality must hold throughout. Recall that in order to prove that the d...
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≤ wu. From our reasoning above, we know that the linear program associated to the digraph D(cid:1) (now we have wv = 1 for every v ∈ V (cid:1)) produces an integral solution that corresponds to a maximum size cyclic stable set in D(cid:1). Note that if xv,i is in the stable set S(cid:1) for D(cid:1), then we can als...
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Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.685 Electric Machines Class Notes 1: Electromagnetic Forces c 2003 James L. Kirtley Jr. (cid:13) 1 Introduction Bearings Shaft End Windings Stator Stator Conductors Rotor Air Gap Rotor Conductors Figure 1: Form of Electric...
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indicated rotor conductors, but sometimes the rotor has permanent magnets either fastened to it or inside, and sometimes (as in Variable Reluctance Machines) it is just an oddly shaped piece of steel. The stator is, in this drawing, on the outside and has windings. With most of the machines we will be dealing with, the...
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is just: T Vr = 2 < τ > Now, determining what can be done in a volume of machine involves two things. First, it is clear that the volume we have calculated here is not the whole machine volume, since it does not include the stator. The actual estimate of total machine volume from the rotor volume is actually quite comp...
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the sum of electric power inputs to the different phase terminals: Mechanical power is torque times speed: Pe = viii i X Pm = T Ω 3 Electric Power In Electro- Mechanical Converter Mechanical Power Out Losses: Heat, Noise, Windage,... Figure 3: Energy Conversion Process And the sum of the losses is the difference: Pd = P...
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is: P m = f e dx dt The difference between these two is the rate of change of energy stored in the system: dWm = P e dt − P m It is then possible to compute the change in energy required to take the system from one state to another by: Wm(a) Wm(b) = a idλ f edx − where the two states of the system are described by a = (...
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L(x)i = λ too early in the derivation produces erroneous results: in the case of a linear system it produces a sign error, but in the case of a nonlinear system it is just wrong. 3.1.1 Example: simple solenoid Consider the magnetic actuator shown in cartoon form in Figure 5. The actuator consists of a circular rod of f...
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dx L(x) 1 d 1 dx L = 1 2 0πR N µ 2 f e (x) = λ2 0 2 µ 1 0πR N 2 2 − Given that the system is to be excited by a current, we may at this point substitute for flux: λ = L(x)i = µ0πR2N i x + g and then total force may be seen to be: f e = 0πR2N 2 i2 µ (x + g)2 2 − The force is ‘negative’ in the sense that it tends to reduc...
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that force produced is: dW ′ m = λkdik + f dx e k X fe = ∂W ′ m ∂x 3.2 Example: Synchronous Machine Stator Gap Rotor C A’ B θ B’ A C’ F’ µ F F F’ C’ A B’ B µ C A’ Figure 6: Cartoon of Synchronous Machine Consider a simple electric machine as pictured in Figure 6 in which there is a single winding on a rotor (call it th...
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multiple excitation it is important to exercise some care in taking the coenergy integral (to ensure that it is taken over a valid path in the multi-dimensional space). In our case there are actually five dimensions, but only four are important since we can position the rotor with all currents at zero so there is no con...
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ia0 = Ia cos ωt ib0 = Ia cos ω t (cid:18) ic0 = Ia cos ω t + 2π − 3 2π 3 (cid:19) (cid:19) if 0 = If (cid:18) 9 and assume the rotor is turning at synchronous speed: pθ = ωt + δi Noting that cos x sin y = 1 sin(x 2 − y) + 1 sin(x + y), we find the torque expression above to be: 2 Te = pM IaIf − (cid:18) + + 1 2 (cid:18...
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happens in electric machines. 4.1 Field Description of Energy Flow: Poyting’s Theorem Start with Faraday’s Law: and Ampere’s Law: ~E = ~∂B − ∂t ∇ × ~H = J ~ ∇ × Multiplying the first of these by H and the second by E and taking the difference: ~ ~ ~H ~E ~E − · ∇ × · ∇ × ~H = ∇ · ~E ~ H × (cid:16) (cid:17) = ~H − ∂B~ dt −...
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, if there is motion of any material within the system, we can use the empirical expression for transformation of electric field between observers moving with respect to each other. Here the ’primed’ frame is moving with respeect to the ’unprimed’ frame with the velocity ~v ′ ~E ~= E + ~v ~B × This transformation descri...
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This is the Lorentz Force Law, which describes the interaction of current with magnetic field to produce force. It is not, however, the complete story of force production in electromechanical systems. As we learned earlier, changes in geometry which affect magnetic stored energy can also produce force. Fortunately, a com...
https://ocw.mit.edu/courses/6-685-electric-machines-fall-2013/06deccf046b565a8295e5ada36b252df_MIT6_685F13_chapter1.pdf
) · ~H H µ ~ ∇ (cid:17) ~H ~H µ · ∇ (cid:17) (cid:17) ~H ~H × (cid:17) ∇ × (cid:16) ~ = H ~ H (cid:16) · ∇ (cid:17) ~H 1 − 2 ∇ ~F = µ = µ ~H ~H ~H (cid:16) ~H (cid:16) · ∇ · ∇ (cid:17) (cid:17) 1 2 µ − − ∇ (cid:18) ∇ 1 2 ~H (cid:16) µ · ~H (cid:16) ~ H (cid:17) ~H · − (cid:17)(cid:19) ~H ~H · (cid:17) ~ H (cid:16) ~H ·...
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H 2 n ! n X where we have used the Kroneker delta δik = 1 if i = k, 0 otherwise. Note that this force density is in the form of the divergence of a tensor: Fk = ∂ ∂xi Tik or ∇ · In this case, force on some object that can be surrounded by a closed surface can be found by ~F = T using the divergence theorem: ~f = vol Z ...
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cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0) (cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0)(cid:0) (cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid...
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amplitudes: The y- component of Faraday’s Law is, assuming the problem is uniform in the z- direction: H y = z + K s K jkg − jω B s ′ y = jkEz − or ω s µ0H k A bit of algebraic manipulation yields expressions for the complex amplitudes of rotor surface ′ z = − E y current and gap magnetic field: Ks = H y = σ j µ0ωs s k2...
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shows what we already suspected: the electromagnetic power flow from the stator is the force density on the shuttle times the wave velocity. The electromagnetic ower flow into the shuttle is the same force density times the ’slip’ velocity. The difference between these two is the power converted to mechanical form and it ...
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can be picked to be perpedicular to each of the current filaments since the divergence of current is zero. The flux λ is calculated over a path that coincides with each current filament (such paths exist since current has zero divergence). Then the flux is: Z Now, if we use the vector potential A for which the magnetic flux...
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~ C × ∇ · (cid:16) ~ D ~ = D (cid:17) · ∇ × (cid:16) ~ C · − ~ C (cid:17) ′ Wm = Then, noting that B = ~ ∇ × −∇ · vol Z ~ A: ~ ~ A dM dv + × (cid:16) (cid:17) vol Z ∇ × (cid:16) · (cid:17) ~D Now, ∇ × (cid:16) ~ A (cid:17) ~ dM dv W ′ m = − (cid:13) Z Z ~dM d~s + ~A × ~dM dv ~B · vol Z The first of these integrals (clos...
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8.022 (E&M) – Lecture 6 Topics: (cid:132) More on capacitors (cid:132) Mini-review of electrostatics (cid:132) (almost) all you need to know for Quiz 1 Last time… (cid:132) Capacitor: (cid:132) System of charged conductors (cid:132) Capacitance: C = Q V (cid:132) It depends only on geometry +Q + + + + + + -- -Q ...
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:132) Parallel plates capacitor: C = Q Q = Ed V = A dπ 4 (cid:132) Add a dielectric between the plates: (cid:132) Dielectric’s molecules are not spherically symmetric (cid:132) Electric charges are not free to move (cid:198) E will pull + and – charges apart and orient them // E + + + + + + + + + + E=4πσ _ + _ + _ + ...
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= V = Q 2 = 1 V V + Q 2 = 1 C 1 + 1 C 2 B - + - + - + - + - + - +- This is 1 conductor that starts electrically neutral (cid:198) Q1=Q2 G. Sciolla – MIT 1 − C ⎞ ⎟ ⎠ i 8.022 – Lecture 6 ⎛ = ⎜ ⎝ 1 C i ∑ Capacitors in parallel (cid:132) Let’s connect 2 capacitors C1 and C2 in the following way: Q1 Q2 V1 V2 V ? V (cid:1...
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++++++ ++++++ … ------- ++++++ 80µF 60W (cid:132) Total capacitance: 960 µF (cid:132) Discharged on a 60 W light bulb when capacitors are charged at: (cid:132) V = 100 V, 200 V, V = 300 V (cid:132) What happens? (cid:132) (cid:132) Energy stored in capacitor is U= ½ CV2 (cid:198) V = V0: 2xV0 : 3xV0 (cid:198) U = U0 ...
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Q r V Q (cid:71) F Q i N = = ∑ i = 1 q Q i 2 r | i | ˆ r i (cid:71) QF = ∫ V dq Q 2 |r| ˆ r = ∫ V ρ dV Q 2 |r| ˆ r G. Sciolla – MIT 8.022 – Lecture 6 13 The Importance of Superposition Extremely important because it allows us to transform complicated problems into sum of small, simple problems that we know how to s...
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W − > = − 2 1 ∫ 1 (cid:71) F C (cid:71) ds • w here F C oulom b = ˆ Q qr 2 r y 1 2 P1 P2 3 x (cid:132) NB: integral independent of path: force conservative! (cid:132) Assembling a system of charges costs energy. This is the energy stored in the electric field: U = 1 2 ∫ Volume with charges ρφ dV = 2 E 8 π dV ∫ E...
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not always useful: Symmetry is needed! (cid:132) Main step: choose the “right” gaussian surface so that E is constant on the surface of integration G. Sciolla – MIT 8.022 – Lecture 6 18 9 From ρ (cid:198) φ (cid:132) General case: (cid:132) For a point charge: (cid:132) Superposition principle: φ = q r φ = ∫ V N...
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φ is always continuous (cid:132) E is not always continuous: it can “jump” (cid:132) When we have surface charge distributions (cid:132) Remember problem #1 in Pset 2 (cid:198) When solving problems always check for consistency! G. Sciolla – MIT 8.022 – Lecture 6 21 Summary ρ(x,y,z) 2 φ πρ 4 ∇ = − G a uss’s la w...
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Be creative and think of distribution of point charges that will create the same filed lines: (cid:132) Example: Method of images + + - - - - - - - - - - - - - - - - - - - G. Sciolla – MIT 8.022 – Lecture 6 24 12 Capacitors (cid:132) Capacitance have capacitance C (cid:132) Two oppositely charged conductors kept...
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2 General results of representation theory 2.1 Subrepresentations in semisimple representations Let A be an algebra. Definition 2.1. A semisimple (or completely reducible) representation of A is a direct sum of irreducible representations. Example. Let V be an irreducible representation of A of dimension n. Then Y ...
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is isomorphic to niVi given � by multiplication of a row vector of elements of Vi (of length ri) by a certain ri-by-ni matrix Xi with linearly independent rows: θ(v1, ..., vri ) = (v1, ..., vri )Xi. V is a direct sum of inclusions θi : riVi ni, and the inclusion θ : W m i=1riVi, ri ⊃ ⊃ ∗ ∗ � by induction in ...
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the matrix Xi goes to Xigi, while Xj , j = i don’t change. Take gi Gi such that (q1, ..., qni )gi = (1, 0, ..., 0). Then W gi contains the first summand Vi of niVi (namely, it is P gi), hence W gi = Vi nmVm is the kernel of the projection − of W gi to the first summand Vi along the other summands. Thus the require...
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subrepresentation by the induction assumption. 2.2 The density theorem Let A be an algebra over an algebraically closed field k. Corollary 2.4. Let V be an irreducible finite dimensional representation of A, and v1, ..., vn V there exists an element a be any linearly independent vectors. Then for any w1, ..., wn...
https://ocw.mit.edu/courses/18-712-introduction-to-representation-theory-fall-2010/0721b66f53c3c196ce86d6d867514442_MIT18_712F10_ch2.pdf
=1 End(Vi) is surjective. r i=1δi : A the map � r Proof. (i) Let B be the image of A in End(V ). We want to show that B = End(V ). Let c v1, ..., vn be a basis of V , and wi = cvi. By Corollary 2.4, there exists a B, and we are done. Then a maps to c, so c End(V ), A such that avi = wi. � � � i be the imag...
https://ocw.mit.edu/courses/18-712-introduction-to-representation-theory-fall-2010/0721b66f53c3c196ce86d6d867514442_MIT18_712F10_ch2.pdf
7. (Dual representation) Let V be a representation of any algebra A. Then the dual representation V ⊕ is the representation of the opposite algebra Aop (or, equivalently, right A-module) with the action a)(v) := f (av). (f · Proof of Theorem 2.6. First, the given representations are clearly irreducible, as for any ...
https://ocw.mit.edu/courses/18-712-introduction-to-representation-theory-fall-2010/0721b66f53c3c196ce86d6d867514442_MIT18_712F10_ch2.pdf