Contact process in an evolving random environment
Marco Seiler, Anja Sturm

TL;DR
This paper introduces a contact process in an evolving random environment on transitive graphs, analyzing phase transitions, invariant laws, and survival probabilities, with special focus on dynamical percolation and comparison results.
Contribution
It develops a comprehensive framework for contact processes in evolving environments, establishing phase transition independence, invariant law properties, and convergence criteria, including new results for dynamical percolation.
Findings
Phase transition of survival is independent of initial configuration.
Survival probability exhibits continuity and complete convergence under certain conditions.
In dynamical percolation, the process dies out at criticality and exhibits complete convergence.
Abstract
In this paper we introduce a contact process in an evolving random environment (CPERE) on a connected and transitive graph with bounded degree, where we assume that this environment is described through an ergodic spin systems with finite range. We show that under a certain growth condition the phase transition of survival is independent of the initial configuration of the process. We study the invariant laws of the CPERE and show that under aforementioned growth condition the phase transition for survival coincides with the phase transition of non-triviality of the upper invariant law. Furthermore, we prove continuity properties for the survival probability and derive equivalent conditions for complete convergence, in an analogous way as for the classical contact process. We then focus on the special case, where the evolving random environment is described through a dynamical…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Theoretical and Computational Physics
