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Maximum Principle and Comparison Theorem for Quasi-linear Stochastic PDE's
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Laurent Denis, Université d'Evry Val d'Essonne Anis Matoussi, Université du Maine Lucretiu Stoica, University of Bucharest |
Abstract
We prove a comparison theorem and maximum principle for a local
solution of quasi-linear parabolic stochastic PDEs, similar to
the well known results in the deterministic case. The proofs are
based on a version of Ito's formula and estimates for the positive
part of a local solution which is non-positive on the lateral
boundary. Moreover we shortly indicate how these results
generalize for Burgers type SPDEs
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Full text: PDF
Pages: 500-530
Published on: February 23, 2009
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Bibliography
- Aronson, D. G.; Serrin, James. Local behavior of solutions of quasilinear parabolic equations. Arch. Rational Mech. Anal. 25 1967 81--122. MR0244638 (39 #5952)
- Bouleau N. ; Hirsch F. : Dirichlet forms and analysis on Wiener space, Kluwer (1993).
- Denis, Laurent. Solutions of stochastic partial differential equations considered as Dirichlet processes. Bernoulli 10 (2004), no. 5, 783--827. MR2093611 (2005g:60099)
- Denis, Laurent; Stoica, L. A general analytical result for non-linear SPDE's and applications. Electron. J. Probab. 9 (2004), no. 23, 674--709 (electronic). MR2110016 (2006b:60136)
- Denis L.; Matoussi A. ; Stoica L. $L^p$ estimates for the uniform norm of solutions of quasilinear SPDE's. Prob. Th. Rel. Fileds 133 (2005), 437-463.
- Gyöngy, István; Rovira, Carles. On $Lsp p$-solutions of semilinear stochastic partial differential equations. Stochastic Process. Appl. 90 (2000), no. 1, 83--108. MR1787126 (2001j:60120)
- Krylov, N. V. An analytic approach to SPDEs. Stochastic partial differential equations: six perspectives, 185--242, Math. Surveys Monogr., 64, Amer. Math. Soc., Providence, RI, 1999. MR1661766 (99j:60093)
- Pardoux, E. Stochastic partial differential equations and filtering of diffusion processes. Stochastics 3, no. 2, 127--167. (1979), MR0553909 (81b:60059)
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Electronic Journal of Probability. ISSN: 1083-6489 |
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