Publication | Open Access
Some Non-Linear S.P.D.E's That Are Second Order In Time
77
Citations
12
References
2003
Year
EngineeringIntegrable ProbabilityMartingale MeasuresStochastic Dynamical SystemOscillation TheoryStochastic AnalysisProbability TheorySecond OrderHilbert Space IntegralsFunctional AnalysisWave EquationNonlinear EquationStochastic Differential EquationStochastic PhenomenonNonlinear ProcessStochastic Differential Equations
We extend J.B. Walsh's theory of martingale measures in order to deal with stochastic partial differential equations that are second order in time, such as the wave equation and the beam equation, and driven by spatially homogeneous Gaussian noise. For such equations, the fundamental solution can be a distribution in the sense of Schwartz, which appears as an integrand in the reformulation of the s.p.d.e. as a stochastic integral equation. Our approach provides an alternative to the Hilbert space integrals of Hilbert-Schmidt operators. We give several examples, including the beam equation and the wave equation, with nonlinear multiplicative noise terms.
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