Poisson attraction conjecture for one-dimensional coarsening

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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 e−2te^{-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,

νt⟶P(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.

References

Primary source

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

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