Single-Parameter Scaling and Maximum Entropy inside Disordered One-Dimensional Systems: Theory and Experiment

TL;DR

This paper investigates the behavior of energy density and conductance in disordered one-dimensional systems, confirming theoretical predictions with experiments and simulations, and identifying deviations from single-parameter scaling.

Contribution

It introduces a maximum-entropy approach to analyze energy density distribution and reveals new insights into variance behavior and corrections to single-parameter scaling.

Findings

Average of ln W(x) is independent of system length L and equals -x/ell.

Variance of ln W(x) increases linearly with x and is independent of L.

Identifies a correction to the variance of ln T beyond single-parameter scaling.

Abstract

The single-parameter scaling hypothesis relating the average and variance of the logarithm of the conductance is a pillar of the theory of electronic transport. We use a maximum-entropy ansatz to explore the logarithm of the energy density, $\ln {\cal W}(x)$, at a depth $x$ into a random one-dimensional system. Single-parameter scaling would be the special case in which $x=L$ (the system length). We find the result, confirmed in microwave measurements and computer simulations, that the average of $\ln {\cal W}(x)$ is independent of $L$ and equal to $-x/\ell$, with $\ell$ the mean free path. At the beginning of the sample, ${\rm var}[\ln {\cal W}(x)]$ rises linearly with $x$ and is also independent of $L$, with a sublinear increase near the sample output. At $x=L$ we find a correction to the value of ${\rm var}[\ln T]$ predicted by single-parameter scaling.