Probabilistic representations of solutions to the heat equation
classification
🧮 math.PR
math.AP
keywords
heatequationprobabilisticinitialsolutionstemperedarbitraryclassical
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In this paper we provide a new (probabilistic) proof of a classical result in partial differential equations, viz. if $\phi$ is a tempered distribution, then the solution of the heat equation for the Laplacian, with initial condition $\phi$, is given by the convolution of $\phi$ with the heat kernel (Gaussian density). Our results also extend the probabilistic representation of solutions of the heat equation to initial conditions that are arbitrary tempered distributions.
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