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Main Authors: Cruz-de-la-Rosa, Marco Antonio, Guerrero-Poblete, Fernando
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2603.03634
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author Cruz-de-la-Rosa, Marco Antonio
Guerrero-Poblete, Fernando
author_facet Cruz-de-la-Rosa, Marco Antonio
Guerrero-Poblete, Fernando
contents Analogously to the quantum case considered in Cruz-de-la-Rosa and Guerrero-Poblete (Open Syst. Inf. Dyn. 32, 2550005, 2025), this work proposes a graph-theoretic approach to studying non-equilibrium properties in Markov chains. We prove that the kernel of the incidence matrix associated with the interaction graph of the chain, which consists of cycles, is isomorphic to the space of anti-symmetric matrices with rows sum to zero. The main contribution of this work is the introduction of the called cycle matrices, which constitute a basis for the space of matrices that describe the non-equilibrium.
format Preprint
id arxiv_https___arxiv_org_abs_2603_03634
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle An approach to non-equilibrium Markov chains through cycle matrices
Cruz-de-la-Rosa, Marco Antonio
Guerrero-Poblete, Fernando
Probability
Analogously to the quantum case considered in Cruz-de-la-Rosa and Guerrero-Poblete (Open Syst. Inf. Dyn. 32, 2550005, 2025), this work proposes a graph-theoretic approach to studying non-equilibrium properties in Markov chains. We prove that the kernel of the incidence matrix associated with the interaction graph of the chain, which consists of cycles, is isomorphic to the space of anti-symmetric matrices with rows sum to zero. The main contribution of this work is the introduction of the called cycle matrices, which constitute a basis for the space of matrices that describe the non-equilibrium.
title An approach to non-equilibrium Markov chains through cycle matrices
topic Probability
url https://arxiv.org/abs/2603.03634