The Stochastic Heat Equation Driven by a Gaussian Noise: germ Markov Property

dc.creatorBalan, Raluca
dc.creatorKim, Doyoon
dc.date2008-06-11
dc.date.accessioned2026-07-07T09:43:59Z
dc.date.available2026-07-07T09:43:59Z
dc.descriptionLet $u=\{u(t,x);t \in [0,T], x \in {\mathbb{R}}^{d}\}$ be the process solution of the stochastic heat equation $u_{t}=Δu+ \dot F, u(0,\cdot)=0$ driven by a Gaussian noise $\dot F$, which is white in time and has spatial covariance induced by the kernel $f$. In this paper we prove that the process $u$ is locally germ Markov, if $f$ is the Bessel kernel of order $α=2k,k \in \bN_{+}$, or $f$ is the Riesz kernel of order $α=4k,k \in \bN_{+}$.
dc.description20 pages
dc.identifierhttps://arxiv.org/abs/0806.1898
dc.identifierhttp://arxiv.org/abs/0806.1898
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/162714
dc.subjectProbability
dc.subject60H15; 60G60
dc.titleThe Stochastic Heat Equation Driven by a Gaussian Noise: germ Markov Property
dc.typetext

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