Preprint:
STRONG INVARIANCE AND NOISE-COMPARISON PRINCIPLES FOR SOME PARABOLIC STOCHASTIC PDEs

Mathew Joseph, Davar Khoshnevisan, and Carl Mueller

Abstract. We consider a system of interacting diffusions on the integer lattice. By letting the mesh size go to zero and by using a suitable scaling, we show that the system converges (in a strong sense) to a solution of the stochastic heat equation on the real line. As a consequence, we obtain comparison inequalities for product moments of the stochastic heat equation with different nonlinearities.

Keywords. Stochastic PDEs, comparison theorems, white noise.

AMS Classification (2000). Primary. 60H15; Secondary. 35K57.

Support. Research supported in part by the United States National Science Foundation grants DMS-0747758 (M.J.), DMS-1306470 (M.J. and D.K.), and DMS-1102646 (C.M.).

Pre/E-Prints. This paper is available in

Mathew Joseph
Department of Probability and Statistics
University of Sheffield
Sheffield, England S3 7RH, UK m.joseph@sheffield.ac.uk
Davar Khoshnevisan
Department of Mathematics
University of Utah
155 S, 1400 E JWB 233
Salt Lake City, UT 84112-0090, U.S.A.
davar@math.utah.edu
Carl Mueller
Department of Mathematics
University of Rochester
Rochester, NY 14627, U.S.A.
carl.2013@outlook.com

Last Update: August 24, 2014
© 2014 - Mathew Joseph, Davar Khoshnevisan, and Carl Mueller