Spectral Analysis of Current Fluctuations in Periodically Driven Stochastic Systems
Bertrand Lacroix-A-Chez-Toine, Oren Raz

TL;DR
This paper develops a method to analyze the full frequency-dependent current fluctuations in periodically driven stochastic systems, revealing peaks at frequencies related to the driving frequency and their impact on the cumulant generating function.
Contribution
It introduces a general approach to compute current statistics at arbitrary frequencies, including incommensurate cases, and uncovers the structure of the cumulant generating function in such systems.
Findings
Cumulant generating function shows peaks at frequencies commensurate with driving frequency.
Peaks become sharper with longer measurement times, leading to discontinuities in the CGF.
Method demonstrated on models including Brownian particles and two-state systems.
Abstract
Current fluctuations play an important role in non-equilibrium statistical mechanics, and are a key object of interest in both theoretical studies and in practical applications. So far, most of the studies were devoted to the fluctuations in the time-averaged current -- the zero frequency Fourier component of the time dependent current. However, in many practical applications the fluctuations at other frequencies are of equal importance. Here we study the full frequency dependence of current statistics in periodically driven stochastic systems. First, we show a general method to calculate the current statistics, valid even when the current's frequency is incommensurate with the driving frequency, breaking the time periodicity of the system. Somewhat surprisingly, we find that the cumulant generating function (CGF), that encodes all the statistics of the current, is composed of a…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · stochastic dynamics and bifurcation · Spectroscopy and Quantum Chemical Studies
