## The Annals of Applied Probability

### Approximations of stochastic partial differential equations

#### Abstract

In this paper, we show that solutions of stochastic partial differential equations driven by Brownian motion can be approximated by stochastic partial differential equations forced by pure jump noise/random kicks. Applications to stochastic Burgers equations are discussed.

#### Article information

Source
Ann. Appl. Probab., Volume 26, Number 3 (2016), 1443-1466.

Dates
Revised: April 2015
First available in Project Euclid: 14 June 2016

https://projecteuclid.org/euclid.aoap/1465905008

Digital Object Identifier
doi:10.1214/15-AAP1122

Mathematical Reviews number (MathSciNet)
MR3513595

Zentralblatt MATH identifier
1345.60053

#### Citation

Di Nunno, Giulia; Zhang, Tusheng. Approximations of stochastic partial differential equations. Ann. Appl. Probab. 26 (2016), no. 3, 1443--1466. doi:10.1214/15-AAP1122. https://projecteuclid.org/euclid.aoap/1465905008

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