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

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.

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Publication Details

Journal
Documenta Mathematica
Published
2025-03-20
DOI
https://doi.org/10.4171/dm/997
Citations
1
Primary Topic
Advanced Queuing Theory Analysis
Type
article
Field-Weighted Citation Impact
2.28
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article

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

Michael Baake, Jeremy G. Sumner
1 citations
Documenta Mathematica
Advanced Queuing Theory Analysis
2.28
article

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

Michael Baake, Jeremy G. Sumner
article en
1 citations

Abstract

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.

Documenta MathematicaVol. 30(2)
University of Tasmania (AU), Bielefeld University (DE)
Openalex Percentile: Top 14%
Advanced Queuing Theory Analysis
2.28
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