Jacobi Crossover Ensembles of Random Matrices and Statistics of Transmission Eigenvalues
Santosh Kumar, Akhilesh Pandey

TL;DR
This paper analyzes how conductance properties of chaotic mesoscopic cavities change as time-reversal symmetry is broken, using Jacobi crossover ensembles of random matrices to derive key statistical measures of transmission eigenvalues.
Contribution
It introduces a Brownian motion model for transmission eigenvalues during symmetry crossover, deriving explicit formulas for conductance and shot-noise statistics across regimes.
Findings
Derived level density and correlation functions for transmission eigenvalues.
Obtained exact expressions for average conductance and shot-noise power as functions of symmetry-breaking parameter.
Confirmed consistency with known results in limiting cases and semiclassical predictions.
Abstract
We study the transition in conductance properties of chaotic mesoscopic cavities as time-reversal symmetry is broken. We consider the Brownian motion model for transmission eigenvalues for both types of transitions, viz., orthogonal-unitary and symplectic-unitary crossovers depending on the presence or absence of spin-rotation symmetry of the electron. In both cases the crossover is governed by a Brownian motion parameter {\tau}, which measures the extent of time-reversal symmetry breaking. It is shown that the results obtained correspond to the Jacobi crossover ensembles of random matrices. We derive the level density and the correlation functions of higher orders for the transmission eigenvalues. We also obtain the exact expressions for the average conductance, average shot-noise power and variance of conductance, as functions of {\tau}, for arbitrary number of modes (channels) in the…
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