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

TL;DR
This paper develops a stochastic formulation of the heat equation with random initial data, deriving bounds, inequalities, and stability results for the solution's moments and regularity properties.
Contribution
It introduces a stochastic convolution approach to extend classical heat equation results to random initial conditions with Gaussian fields, including Harnack inequalities and decay estimates.
Findings
Derived a stochastic Li-Yau differential Harnack inequality.
Established decay estimates for solution volatility over time.
Proved stability of the solution as randomness dissipates with time.
Abstract
The following stochastic Cauchy initial-value problem is studied for the parabolic heat equation on a domain with random field initial data. \begin{align} &{\square}\widehat{u(x,t)} \equiv \bigg(\frac{\partial}{\partial t}-{\Delta}_{x}\bigg)\widehat{u(x,t)}=0,~x\in\mathbf{Q},t> 0 \end{align} \begin{align} \widehat{u(x,0)}=\phi(x)+\mathscr{J}(x),~x\in\mathbf{Q},t=0 \end{align} where , and is a classical Gaussian random scalar field with expectation and with a regulated covariance , correlation length and . The randomly perturbed solution is a stochastic convolution integral. This leads to…
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Taxonomy
TopicsStochastic processes and financial applications · Probabilistic and Robust Engineering Design · Numerical methods in inverse problems
