Semilinear response
Applications. The original motivation for introducing SLRT was the study of mesosopic conductance The term SLRT has been coined in where it has been applied to the calculation of energy absorption by metallic grains. Later the theory has been applied for analysing the rate of heating of atoms in vibrating traps Definition of semilinear response. Consider a system that is driven by a source formula_1 that has a power spectrum formula_2. The latter is defined as the Fourier transform of formula_3. In linear response theory (LRT) the driving source induces a steady state which is only slightly different  from the equilibrium state. In such circumstances the response (formula_4) is a linear functional of the power spectrum: In the traditional LRT context formula_4 represents the rate of heating, and formula_7 can be defined as the absorption coefficient. Whenever such relation applies If the driving is very strong the response becomes non-linear, meaning that both properties [A] and [B] do not hold. But there is a class of systems whose response becomes semi-linear, i.e. the first property [A] still holds, but not [B]. Resistor network modeling. SLRT applies whenever the driving is strong enough such that relaxation to  the steady state is slow compared with the driven dynamics. Yet one assumes that the system can be modeled as a resistor network, mathematically expressed as formula_10. The notation formula_11 stands for the usual electrical engineering calculation of a two terminal conductance of a given resistor network. For example parallel connections imply formula_12, while serial connections imply formula_13. Resistor network calculation is manifestly semi-linear because it satisfies formula_14, but in general formula_15. Fermi golden rule picture. In the quantum mechanical calculation of energy absorption, the formula_11 represent Fermi-golden-rule transition rates between energy levels. If only neighboring levels  are coupled, serial addition implies which is manifestly semi-linear. Results for sparse networks, that are encountered in the analysis of weakly chaotic driven systems, are more interesting and can be obtained using a generalized variable range hopping (VRH) scheme.