Monotonicity and condensation in homogeneous stochastic particle systems

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Abstract

We study stochastic particle systems that conserve the particle density and exhibit a condensation transition due to particle interactions. We restrict our analysis to spatially homogeneous systems on fixed finite lattices with stationary product measures, which includes previously studied zero-range or misanthrope processes. All known examples of such condensing processes are non-monotone, i.e. the dynamics do not preserve a partial ordering of the state space and the canonical measures (with a fixed number of particles) are not monotonically ordered. For our main result we prove that condensing homogeneous particle systems with finite critical density are necessarily non-monotone. On fixed finite lattices condensation can occur even when the critical density is infinite, in this case we give an example of a condensing process that numerical evidence suggests is monotone, and give a partial proof of its monotonicity.

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Rafferty, T., Chleboun, P., & Grosskinsky, S. (2018). Monotonicity and condensation in homogeneous stochastic particle systems. Annales de l’institut Henri Poincare (B) Probability and Statistics, 54(2), 790–818. https://doi.org/10.1214/17-AIHP821

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