Random-matrix modeling of semi-linear response, the generalized variable range hopping picture, and the conductance of mesoscopic rings

Abstract

Semi-linear response theory determines the absorption coefficient of a driven system using a resistor network calculation: Each unperturbed energy level of a particle in a vibrating trap, or of an electron in a mesoscopic ring, is regarded as a node ($n$) of the network; The transition rates ($w_{mn}$) between the nodes are regarded as the elements of a random matrix that describes the network. If the size-distribution of the connecting elements is wide (e.g. log-normal-like rather than Gaussian-like) the result for the absorption coefficient differs enormously from the conventional Kubo prediction of linear response theory. We use a generalized variable range hopping scheme for the analysis. In particular we apply this approach to obtain practical approximations for the conductance of mesoscopic rings. In this context Mott's picture of diffusion and localization is revisited.

16 pages, 8 figures, published version with minor changes

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Cited by in corpus (6)

• Quantum response of weakly chaotic systems
• "Weak Quantum Chaos" and its resistor network modeling
• Non-equilibrium steady state of sparse systems
• Diffusion in sparse networks: linear to semi-linear crossover
• Energy absorption by "sparse" systems: beyond linear response theory
• Quantum anomalies and linear response theory