Poisson attraction conjecture for one-dimensional coarsening

Let ν\nu be a probability measure on R\mathbb R with finite mean m<m<\infty, and let QνQ_\nu be the stationary renewal process on R\mathbb R with renewal distribution ν\nu. A weak solution with initial conditions QνQ_\nu is a stochastic evolution satisfying the paper's evolution rule, and let νt\nu_t denote its time-tt law after rescaling space by e2te^{-2t}. Poisson attraction conjecture. For every such ν\nu, there exists a weak solution Pν{\mathbb P}_\nu with initial conditions QνQ_\nu, and, for its rescaled time-tt law,

νtP(1/m)weakly as t.\nu_t\mathrel{\longrightarrow}{\mathcal P}(1/m)\quad\text{weakly as }t\to\infty.

Here P(1/m){\mathcal P}(1/m) denotes the Poisson law of intensity 1/m1/m. This conjecture formalizes the numerical observation that the Poisson distribution is an attracting fixed point for the rescaled dynamics, extending the invariant Poisson case to arbitrary renewal initial data.

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Primary source

Emanuel Lazar and Robin Pemantle, “Coarsening in one dimension: invariant and asymptotic states”, arXiv:1505.07893 (2015).

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