Abstract
In this article, we are concerned with averaging principle for stochastic hyperbolic–parabolic equations driven by Poisson random measures with slow and fast time-scales. We first establish the existence and uniqueness of weak solutions of the stochastic hyperbolic–parabolic equations. Then, under suitable conditions, we prove that there is a limit process in which the fast varying process is averaged out and the limit process which takes the form of the stochastic wave equation is an average with respect to the stationary measure of the fast varying process. Finally, we derive the rate of strong convergence for the slow component towards the solution of the averaged equation.
| Original language | English |
|---|---|
| Pages (from-to) | 243-268 |
| Number of pages | 26 |
| Journal | Journal of Mathematical Analysis and Applications |
| Volume | 447 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Mar 2017 |
Keywords
- Averaging principles
- Poisson random measures
- Stochastic hyperbolic–parabolic equations
- Two-time-scales
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