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1999 Extending the Martingale Measure Stochastic Integral With Applications to Spatially Homogeneous S.P.D.E.'s
Robert Dalang
Author Affiliations +
Electron. J. Probab. 4: 1-29 (1999). DOI: 10.1214/EJP.v4-43

Abstract

We extend the definition of Walsh's martingale measure stochastic integral so as to be able to solve stochastic partial differential equations whose Green's function is not a function but a Schwartz distribution. This is the case for the wave equation in dimensions greater than two. Even when the integrand is a distribution, the value of our stochastic integral process is a real-valued martingale. We use this extended integral to recover necessary and sufficient conditions under which the linear wave equation driven by spatially homogeneous Gaussian noise has a process solution, and this in any spatial dimension. Under this condition, the non-linear three dimensional wave equation has a global solution. The same methods apply to the damped wave equation, to the heat equation and to various parabolic equations.

Citation

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Robert Dalang. "Extending the Martingale Measure Stochastic Integral With Applications to Spatially Homogeneous S.P.D.E.'s." Electron. J. Probab. 4 1 - 29, 1999. https://doi.org/10.1214/EJP.v4-43

Information

Accepted: 24 March 1999; Published: 1999
First available in Project Euclid: 4 March 2016

zbMATH: 0986.60053
MathSciNet: MR1684157
Digital Object Identifier: 10.1214/EJP.v4-43

Subjects:
Primary: 60H15
Secondary: 35D10 , 35R60 , 60H05

Keywords: Gaussian noise , process solution , Stochastic heat equation , Stochastic wave equation

Vol.4 • 1999
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