A Hamiltonian-Entropy Production Connection in the Skew-symmetric Part of a Stochastic Dynamics
Hong Qian

TL;DR
This paper reveals a mathematical link between the skew-symmetric part of Markov process operators, Hamiltonian dynamics, and entropy production, offering new insights into nonequilibrium steady states.
Contribution
It establishes a novel connection between Hamiltonian dynamics and entropy production in Markov processes through operator decomposition and spectral analysis.
Findings
Skew-symmetric part of Markov operator relates to Hamiltonian dynamics.
Entropy production rate is expressed via operator trace involving stationary distribution.
Stationary probability linked to the norm of a specific state vector.
Abstract
The infinitesimal transition probability operator for a continuous-time discrete-state Markov process, , can be decomposed into a symmetric and a skew-symmetric parts. As recently shown for the case of diffusion processes, while the symmetric part corresponding to a gradient system stands for a reversible Markov process, the skew-symmetric part, , is mathematically equivalent to a linear Hamiltonian dynamics with Hamiltonian . It can also be transformed into a Schr\"{o}dinger-like equation where the "Hamiltonian" operator is Hermitian. In fact, these two representations of a skew-symmetric dynamics emerge natually through singular-value and eigen-value decompositions, respectively. The stationary probability of the Markov process can be expressed as .…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Statistical Mechanics and Entropy · Mathematical Biology Tumor Growth
