Abstract
A procedure is described for defining a generalized solution for stochastic differential equations using the Cameron-Martin version of the Wiener Chaos expansion. Existence and uniqueness of this Wiener Chaos solution is established for parabolic stochastic PDEs such that both the drift and the diffusion operators are of the second order.
Sergey V. Lototsky acknowledges support from NSF CAREER award DMS-0237724. Boris L. Rozovskii acknowledges support from NSF Grant DMS 0604863, ARO Grant W911NF-07-1-0044, and ONR Grant N00014-07-1-0044.
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References
R.H. CAMERON and W.T. MARTIN. The orthogonal development of nonlinear functional in a series of Fourier-Hermite functions. Ann. Math., 48(2): 385–392, 1947.
H. HOLDEN, B. OKSENDAL, J. UB0E, AND T. ZHANG. Stochastic Partial Differential Equations. Birkhäuser, Boston, 1996.
K. ITO. Multiple Wiener integral. J. Math. Soc. Japan, 3: 157–169, 1951.
S.V. LOTOTSKY AND B.L. ROZOVSKH. Stochastic differential equations: a Wiener chaos approach. In Yu. Kabanov, R. Liptser, and J. Stoyanov, editors, From stochastic calculus to mathematical finance: the Shiryaev festschrift, pp. 433–507. Springer, 2006.
S.V. LOTOTSKY AND B.L. ROZOVSKH. Wiener chaos solutions of linear stochastic evolution equations. Ann. Probab., 34(2): 638–662, 2006.
R. MIKULEVICIUS AND B.L. ROZOVSKH. Linear parabolic stochastic PDE’s and Wiener Chaos. SIAM J. Math. Anal., 292: 452–480, 1998.
D. NUALART. Malli avin Calculus and Related Topics, 2nd Edition. Springer, New York, 2006.
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Lototsky, S.V., Rozovskii, B.L. (2008). Stochastic Parabolic Equations of Full Second Order. In: Chow, PL., Yin, G., Mordukhovich, B. (eds) Topics in Stochastic Analysis and Nonparametric Estimation. The IMA Volumes in Mathematics and its Applications, vol 145. Springer, New York, NY. https://doi.org/10.1007/978-0-387-75111-5_9
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DOI: https://doi.org/10.1007/978-0-387-75111-5_9
Publisher Name: Springer, New York, NY
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