Stochastic Cauchy Initial Value Formulation Of The Heat Equation For Random Field Initial Data: Smoothing, Harnack-Type Bounds And p-Moments

Abstract

The following stochastic Cauchy initial-value problem is studied for the parabolic heat equation on a domain Q⊂Rn with random field initial data. align &u(x,t) (∂∂ t-x)u(x,t)=0,~x∈Q,t> 0 align align u(x,0)=φ(x)+J(x),~x∈Q,t=0 align where φ(x)∈ C∞(Q), and J(x) is a classical Gaussian random scalar field with expectation E[\![J(x)]\!]=0 and with a regulated covariance E[\![ J(x)J(y)]\!]=ζ J(x,y;), correlation length and E[\![ J(x)J(x)]\!]=ζ<∞. The randomly perturbed solution u(x,t) is a stochastic convolution integral. This leads to stochastic extensions and versions of some classical results for the heat equation; in particular, a Li-Yau differential Harnack inequality align E[\!\![|∇u(x,t)|2|u(x,t)|2 ]\!\!]-E[\!\![∂∂ tu(x,t)u(x,t) ]\!\!] 12n1t align and a parabolic Harnack inequality. Decay estimates and bounds for the volatility E[\![|u(x,t)|2]\!] and p-moments E[\![|u(x,t)|p]\!] are derived. Since t ∞E[\![|u(x,t)|p]\!]=0 , the Cauchy evolution of the randomly perturbed solution is stable since the heat equation smooths out or dissipates volatility induced by initial data randomness as t→∞.

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