Chase-escape with conversion as a multiple sclerosis lesion model

Fuente: arXiv
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Auteurs principaux: Bailey, Emma, Beckman, Erin, Hernández-Torres, Saraí, Junge, Matthew, Kumar, Aanjaneya, Lee, Ann, Li, Danny, queer, tahda, Raufov, Alisher, Reeves, Lily, Rondel, Omer
Format: Preprint
Publié: 2025
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author Bailey, Emma
Beckman, Erin
Hernández-Torres, Saraí
Junge, Matthew
Kumar, Aanjaneya
Lee, Ann
Li, Danny
queer, tahda
Raufov, Alisher
Reeves, Lily
Rondel, Omer
author_facet Bailey, Emma
Beckman, Erin
Hernández-Torres, Saraí
Junge, Matthew
Kumar, Aanjaneya
Lee, Ann
Li, Danny
queer, tahda
Raufov, Alisher
Reeves, Lily
Rondel, Omer
contents We introduce conversion to the stochastic process known as chase-escape in an effort to model aspects of inflammatory damage from multiple sclerosis. We prove monotonicity results for aggregate damage for the model on the positive integers, trees, stars, and the complete graph. Additionally, we establish the existence and asymptotic order of a phase transition on bounded degree graphs with a non-trivial site percolation threshold.
format Preprint
id arxiv_https___arxiv_org_abs_2507_21235
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Chase-escape with conversion as a multiple sclerosis lesion model
Bailey, Emma
Beckman, Erin
Hernández-Torres, Saraí
Junge, Matthew
Kumar, Aanjaneya
Lee, Ann
Li, Danny
queer, tahda
Raufov, Alisher
Reeves, Lily
Rondel, Omer
Probability
60K35
We introduce conversion to the stochastic process known as chase-escape in an effort to model aspects of inflammatory damage from multiple sclerosis. We prove monotonicity results for aggregate damage for the model on the positive integers, trees, stars, and the complete graph. Additionally, we establish the existence and asymptotic order of a phase transition on bounded degree graphs with a non-trivial site percolation threshold.
title Chase-escape with conversion as a multiple sclerosis lesion model
topic Probability
60K35
url https://arxiv.org/abs/2507.21235