Random-field solutions to linear hyperbolic stochastic partial differential equations with variable coefficients

Alessia Ascanelli and André Süß

Stochastic Processes and their Applications, 2018, vol. 128, issue 8, 2605-2641

Abstract: In this article we show the existence of a random-field solution to linear stochastic partial differential equations whose partial differential operator is hyperbolic and has variable coefficients that may depend on the temporal and spatial argument. The main tools for this, pseudo-differential and Fourier integral operators, come from microlocal analysis. The equations that we treat are second-order and higher-order strictly hyperbolic, and second-order weakly hyperbolic with uniformly bounded coefficients in space. For the latter one we show that a stronger assumption on the correlation measure of the random noise might be needed. Moreover, we show that the well-known case of the stochastic wave equation can be embedded into the theory presented in this article.

Keywords: Stochastic partial differential equations; Stochastic wave equation; Hyperbolic partial differential equations; Fundamental solution; Variable coefficients; Fourier integral operators (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:spapps:v:128:y:2018:i:8:p:2605-2641

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DOI: 10.1016/j.spa.2017.09.019

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