scholarly journals The Speed of a Random Front for Stochastic Reaction–Diffusion Equations with Strong Noise

2021 ◽  
Author(s):  
Carl Mueller ◽  
Leonid Mytnik ◽  
Lenya Ryzhik
Keyword(s):  
Reaction Diffusion ◽  
Reaction Diffusion Equations ◽  
Diffusion Equations ◽  
Stochastic Reaction

Invariant measures for stochastic reaction–diffusion equations with weakly dissipative nonlinearities

Stochastics ◽  
2019 ◽  
Vol 92 (8) ◽  
pp. 1197-1222
Author(s):  
Oleksandr Misiats ◽  
Oleksandr Stanzhytskyi ◽  
Nung Kwan Yip
Keyword(s):  
Invariant Measures ◽  
Reaction Diffusion ◽  
Reaction Diffusion Equations ◽  
Diffusion Equations ◽  
Stochastic Reaction

scholarly journals Averaging Principles for Nonautonomous Two-Time-Scale Stochastic Reaction-Diffusion Equations with Jump

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-22
Author(s):  
Yong Xu ◽  
Ruifang Wang
Keyword(s):  
Reaction Diffusion ◽  
Evolution Family ◽  
Reaction Diffusion Equations ◽  
Diffusion Equations ◽  
Averaging Principle ◽  
Almost Periodic ◽  
Periodic Functions ◽  
Random Measures ◽  
Fast System ◽  
Stochastic Reaction

In this paper, we aim to develop the averaging principle for a slow-fast system of stochastic reaction-diffusion equations driven by Poisson random measures. The coefficients of the equation are assumed to be functions of time, and some of them are periodic or almost periodic. Therefore, the Poisson term needs to be processed, and a new averaged equation needs to be given. For this reason, the existence of time-dependent evolution family of measures associated with the fast equation is studied and proved that it is almost periodic. Next, according to the characteristics of almost periodic functions, the averaged coefficient is defined by the evolution family of measures, and the averaged equation is given. Finally, the validity of the averaging principle is verified by using the Khasminskii method.

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