We develop criteria for hitting probabilities of Gaussian random fields with associated canonical metric given by a class of gauge functions. This yields upper and lower bounds in terms of general notions of Hausdor↵ measure and capacity, respectively.
We apply the criteria to the solution of the following linear stochastic partial di↵erential equations: the Poisson equation driven by white noise, the heat equation driven by fractional-colored noise and the biharmonic heat equation driven by white noise.
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