Weak Averaging of Semilinear Stochastic Differential Equations with Almost Periodic Coefficients
Mikhail Kamenski, Omar Mellah, Paul Raynaud de Fitte (LMRS)

TL;DR
This paper proves an averaging principle for semilinear stochastic differential equations with almost periodic coefficients, demonstrating convergence in distribution to an averaged equation, extending previous theoretical results.
Contribution
It introduces a new averaging result for stochastic equations with almost periodic coefficients, correcting earlier errors and broadening the applicability of such methods.
Findings
Convergence in distribution to the averaged solution
Applicable to equations with almost periodic coefficients
Extends previous averaging results in stochastic analysis
Abstract
An averaging result is proved for stochastic evolution equations with highly oscillating coefficients. This result applies in particular to equations with almost periodic coefficients. The convergence to the solution of the averaged equation is obtained in distribution, as in previous works by Khasminskii and Vrko{\v c}.This version corrects two minor errors from our paper published in J. Math. Anal. Appl. 427(1):336--364, 2015.
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