arXiv Analytics

Sign in

arXiv:1406.5246 [math.PR]AbstractReferencesReviewsResources

Analysis of the gradient of the solution to a stochastic heat equation via fractional Brownian motion

Mohammud Foondun, Davar Khoshnevisan, Pejman Mahboubi

Published 2014-06-20Version 1

Consider the stochastic partial differential equation $\partial_t u = Lu+\sigma(u)\xi$, where $\xi$ denotes space-time white noise and $L:=-(-\Delta)^{\alpha/2}$ denotes the fractional Laplace operator of index $\alpha/2\in(\nicefrac12\,,1]$. We study the detailed behavior of the approximate spatial gradient $u_t(x)-u_t(x-\varepsilon)$ at fixed times $t>0$, as $\varepsilon\downarrow0$. We discuss a few applications of this work to the study of the sample functions of the solution to the KPZ equation as well.

Related articles: Most relevant | Search more
arXiv:0808.2634 [math.PR] (Published 2008-08-19, updated 2012-01-28)
A connection between the stochastic heat equation and fractional Brownian motion, and a simple proof of a result of Talagrand
arXiv:0909.4505 [math.PR] (Published 2009-09-24, updated 2010-05-13)
Ergodicity of hypoelliptic SDEs driven by fractional Brownian motion
arXiv:1110.4079 [math.PR] (Published 2011-10-18)
Initial measures for the stochastic heat equation