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cc-by-nc-nd (c) Elsevier B.V., 2017
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/142997

Systems of stochastic Poisson equations: Hitting probabilities

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We consider a -dimensional random field that solves a system of elliptic stochastic equations on a bounded domain , with additive white noise and spatial dimension . Properties of and its probability law are proved. For Gaussian solutions, using results from Dalang and Sanz-Solé (2009), we establish upper and lower bounds on hitting probabilities in terms of the Hausdorff measure and Bessel-Riesz capacity, respectively. This relies on precise estimates of the canonical distance of the process or, equivalently, on estimates of increments of the Green function of the Laplace equation.

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SANZ-SOLÉ, Marta and VILES, Noèlia. Systems of stochastic Poisson equations: Hitting probabilities. Stochastic Processes and their Applications. 2017. Vol. 128, num. 6, pags. 1857-1888. ISSN 0304-4149. [consulted: 13 of October of 2026]. Available at: https://hdl.handle.net/2445/142997

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