Large deviations for quadratic functionals of stable Gauss-Markov chains and entropy production
Marco Zamparo, Massimiliano Semeraro

TL;DR
This paper develops a large deviation theory for the entropy production rate of non-stationary stable Gauss-Markov chains, confirming the Gallavotti-Cohen symmetry and extending large deviation principles to quasi-Toeplitz quadratic functionals.
Contribution
It introduces a large deviation principle for entropy production in non-stationary stable Gauss-Markov chains, including boundary effects, and verifies the Gallavotti-Cohen symmetry.
Findings
Established a large deviation principle for entropy production rate.
Verified the Gallavotti-Cohen symmetry in this context.
Developed large deviation theory for quasi-Toeplitz quadratic functionals.
Abstract
In this paper we establish a large deviation principle for the entropy production rate of possible non-stationary, centered stable Gauss-Markov chains, verifying the Gallavotti-Cohen symmetry. We reach this goal by developing a large deviation theory for quasi-Toeplitz quadratic functionals of multivariate centered stable Gauss-Markov chains, which differ from a perfect Toeplitz form by the addition of quadratic boundary terms.
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Taxonomy
TopicsGeometric Analysis and Curvature Flows · Geometry and complex manifolds · Point processes and geometric inequalities
