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Scaling limit of an adaptive contact process

2022/07/07 by Adrián González Casanova, Casanova, Adrián González, András Tóbiás +3
Mathematics · Physics and Astronomy · #60K35 #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Primary 60F99 #Probability (math.PR) #Stochastic processes and statistical mechanics #Theoretical and Computational Physics #secondary 92D15

paper · pdf · doi:10.48550/arxiv.2207.03455

openalex publication_date 2022/07/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We introduce and study an interacting particle system evolving on the d-dimensional torus (\mathbb Z/N\mathbb Z)d. Each vertex of the torus can be either empty or occupied by an individual of type λ∈ (0,∞). An individual of type λ dies with rate one and gives birth at each neighboring empty position with rate λ; moreover, when the birth takes place, the newborn individual is likely to have the same type as the parent, but has a small probability of being a mutant. A mutant child of an individual of type λ has type chosen according to a probability kernel. We consider the asymptotic behavior of this process when N→ ∞ and the parameter δN tends to zero fast enough that mutations are sufficiently separated in time, so that the amount of time spent on configurations with more than one type becomes negligible. We show that, after a suitable time scaling and deletion of the periods of time spent on configurations with more than one type, the process converges to a Markov jump process on (0,∞), whose rates we characterize.

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