Heat kernel fluctuations and quantitative homogenization for the one-dimensional Bouchaud trap model

STOCHASTIC PROCESSES AND THEIR APPLICATIONS(2024)

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摘要
We present on -diagonal heat kernel estimates and quantitative homogenization statements for the one-dimensional Bouchaud trap model. The heat kernel estimates are obtained using standard techniques, with key inputs coming from a careful analysis of the volume growth of the invariant measure of the process under study. As for the quantitative homogenization results, these include both quenched and annealed Berry-Esseen-type theorems, as well as a quantitative quenched local limit theorem. Whilst the model we study here is a particularly simple example of a random walk in a random environment, we believe the roadmap we provide for establishing the latter result in particular will be useful for deriving quantitative local limit theorems in other, more challenging, settings.
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关键词
Bouchaud trap model,Heat kernel,Law of iterated logarithm
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