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arXiv 1908.03397math.PRmath-phmath.MP
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离散空间上平均场动力学的熵曲率与收敛于平衡点

Entropic curvature and convergence to equilibrium for mean-field dynamics on discrete spaces

Matthias Erbar, Max Fathi, André Schlichting

摘要:

考虑离散空间上粒子系统的平均场极限引起的非线性发展方程。我们调查的曲率边界的概念,这些动态的基础上凸的自由能沿插值在一个离散的运输距离相关的梯度流结构的动态。这个概念推广了Erbar和Maas研究的线性马尔可夫链动力学的概念。我们表明,正曲率界需要几个功能的不平等控制的动态收敛到平衡。我们从统计力学的各种经典模型的平均场极限的几个例子,建立明确的曲率界。

英文摘要:

We consider non-linear evolution equations arising from mean-field limits of particle systems on discrete spaces. We investigate a notion of curvature bounds for these dynamics based on convexity of the free energy along interpolations in a discrete transportation distance related to the gradient flow structure of the dynamics. This notion extends the one for linear Markov chain dynamics studied by Erbar and Maas. We show that positive curvature bounds entail several functional inequalities controlling the convergence to equilibrium of the dynamics. We establish explicit curvature bounds for several examples of mean-field limits of various classical models from statistical mechanics.

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