stochastic Leray-{\alpha} model of Euler equations
Yong Chen, Yuanyuan Gong

TL;DR
This paper investigates the stochastic Leray-α model of Euler equations with transport noise, analyzing large deviations, convergence rates, and a central limit theorem to understand its probabilistic behavior.
Contribution
It introduces a comprehensive analysis of the stochastic Leray-α Euler model, including large deviations, convergence rates, and a central limit theorem, which are novel in this context.
Findings
Large deviations established in a suitable scaling limit.
Quantitative convergence rates obtained via semigroup approach.
Central limit theorem with explicit convergence rate proved.
Abstract
We study the stochastic Leray-{\alpha} model of Euler equations with transport noise. We first use weak convergence approach to show the large deviations of the stochastic Leray-{\alpha} model of Euler equations in a suitable scaling limit. Then, we establish the quantitative convergence rate by semigroup approach. Moreover, we obtain a central limit theorem with strong convergence and get the explicit rate.
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Taxonomy
TopicsStochastic processes and financial applications · Insurance, Mortality, Demography, Risk Management
