On the algebra of equal-input matrices in time-inhomogeneous Markov flows

Fuente: arXiv
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Hauptverfasser: Baake, Michael, Sumner, Jeremy
Format: Preprint
Veröffentlicht: 2024
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author Baake, Michael
Sumner, Jeremy
author_facet Baake, Michael
Sumner, Jeremy
contents Markov matrices of equal-input type constitute a widely used model class. The corresponding equal-input generators span an interesting subalgebra of the real matrices with zero row sums. Here, we summarise some of their amazing properties and discuss the corresponding Markov embedding problem, both homogeneous and inhomogeneous in time. In particular, we derive exact and explicit solutions for time-inhomogeneous Markov flows with non-commuting generator families of equal-input type and beyond.
format Preprint
id arxiv_https___arxiv_org_abs_2404_11222
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On the algebra of equal-input matrices in time-inhomogeneous Markov flows
Baake, Michael
Sumner, Jeremy
Probability
Classical Analysis and ODEs
60J27, 34A05, 15A16
Markov matrices of equal-input type constitute a widely used model class. The corresponding equal-input generators span an interesting subalgebra of the real matrices with zero row sums. Here, we summarise some of their amazing properties and discuss the corresponding Markov embedding problem, both homogeneous and inhomogeneous in time. In particular, we derive exact and explicit solutions for time-inhomogeneous Markov flows with non-commuting generator families of equal-input type and beyond.
title On the algebra of equal-input matrices in time-inhomogeneous Markov flows
topic Probability
Classical Analysis and ODEs
60J27, 34A05, 15A16
url https://arxiv.org/abs/2404.11222