Variance sum rule: proofs and solvable models
We derive, in more general conditions, a recently introduced variance sum rule (VSR) [I. Di Terlizzi et al., 2024 Science 383 971] involving variances of displacement and force impulse for overdamped Langevin systems in a nonequilibrium steady state (NESS). This formula allows visualising the effect...
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description | We derive, in more general conditions, a recently introduced variance sum rule (VSR) [I. Di Terlizzi et al., 2024 Science 383 971] involving variances of displacement and force impulse for overdamped Langevin systems in a nonequilibrium steady state (NESS). This formula allows visualising the effect of nonequilibrium as a deviation of the sum of variances from normal diffusion \(2Dt\), with \(D\) the diffusion constant and \(t\) the time. From the VSR, we also derive formulas for the entropy production rate \(\sigma\) that, differently from previous results, involve second-order time derivatives of position correlation functions. This novel feature gives a criterion for discriminating strong nonequilibrium regimes without measuring forces. We then apply and discuss our results to three analytically solved models: a stochastic switching trap, a Brownian vortex, and a Brownian gyrator. Finally, we compare the advantages and limitations of known and novel formulas for \(\sigma\) in an overdamped NESS. |
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subjects | Correlation Mathematical analysis Physics - Soft Condensed Matter Physics - Statistical Mechanics Sum rules Variance |
title | Variance sum rule: proofs and solvable models |
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