Averaging principle for slow–fast stochastic 2D Navier–Stokes equation driven by Lévy noise

DOI10.1002/mma.7123zbMath1479.60127OpenAlexW3115634872MaRDI QIDQ5011111

Shihu Li, Junrong Gao, Xiaobin Sun, Yingchao Xie

Publication date: 27 August 2021

Published in: Mathematical Methods in the Applied Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/mma.7123

zbMATH Keywords

strong convergenceaveraging principlemultiscaleLévy noisestochastic 2D Navier-Stokes equation

Mathematics Subject Classification ID

Reaction-diffusion equations (35K57) Navier-Stokes equations (35Q30) Stopping times; optimal stopping problems; gambling theory (60G40) Stochastic partial differential equations (aspects of stochastic analysis) (60H15) PDEs with randomness, stochastic partial differential equations (35R60) Systems with slow and fast motions for nonlinear problems in mechanics (70K70)

Related Items (4)

Large deviations and averaging for stochastic tamed 3D Navier-Stokes equations with fast oscillations ⋮ Averaging principle of stochastic Burgers equation driven by Lévy processes ⋮ Large deviations for the two-time-scale stochastic convective Brinkman-Forchheimer equations ⋮ Effective dynamics for a class of stochastic weakly damped wave equation with a fast oscillation

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