![](images/spacer.gif) |
|
|
| | | | | |
|
|
|
|
|
A type of Gauss' divergence formula on Wiener spaces
|
Yoshiki Otobe, Department of Mathematical Sciences, Shinshu University |
Abstract
We will formulate a type of Gauss' divergence formula on
sets of functions which are greater than a specific value
of which boundaries are not regular.
Such formula was first established by L. Zambotti in 2002
with a profound study of stochastic processes.
In this paper we will give a much shorter and simpler proof
for his formula in a framework
of the Malliavin calculus and give alternate expressions.
Our approach also enables to show that such formulae hold in
other Gaussian spaces.
|
Full text: PDF
Pages: 457--463
Published on: October 30, 2009
|
Bibliography
- Enchev, O.; Stroock, D. W. Rademacher's theorem for Wiener functionals. Ann. Probab. 21 (1993), no. 1, 25--33. MR1207214 (94f:60074)
- Florit, Carme; Nualart, David. A local criterion for smoothness of densities and application to the supremum of the Brownian sheet. Statist. Probab. Lett. 22 (1995), no. 1, 25--31. MR1327725 (96d:60081)
- Fukushima, Masatoshi. $BV$ functions and distorted Ornstein Uhlenbeck processes over the abstract Wiener space. J. Funct. Anal. 174 (2000), no. 1, 227--249. MR1761369 (2002e:60123)
- Fukushima, Masatoshi; Hino, Masanori. On the space of BV functions and a related stochastic calculus in infinite dimensions. J. Funct. Anal. 183 (2001), no. 1, 245--268. MR1837539 (2002j:60094)
- Funaki, Tadahisa; Ishitani, Kensuke. Integration by parts formulae for Wiener measures on a path space between two curves. Probab. Theory Related Fields 137 (2007), no. 3-4, 289--321. MR2278459 (2007k:60155)
- Goodman, Victor. A divergence theorem for Hilbert space. Trans. Amer. Math. Soc. 164 (1972), 411--426. MR0298417 (45 #7469)
- Hariya, Yuu. Integration by parts formulae for Wiener measures restricted to subsets in $Bbb Rsp d$. J. Funct. Anal. 239 (2006), no. 2, 594--610. MR2261339 (2007j:28021)
- Hino, Masanori. On Dirichlet spaces over convex sets in infinite dimensions. Finite and infinite dimensional analysis in honor of Leonard Gross (New Orleans, LA, 2001), 143--156, Contemp. Math., 317, Amer. Math. Soc., Providence, RI, 2003. MR1966893 (2004g:31011)
- Hino, Masanori; Uchida, Hiroto. Reflecting Ornstein-Uhlenbeck processes on pinned path spaces. Proceedings of RIMS Workshop on Stochastic Analysis and Applications, 111--128, RIMS Kôkyûroku Bessatsu, B6, Res. Inst. Math. Sci. (RIMS), Kyoto, 2008. MR2407558
- Lanjri Zadi, Noureddine; Nualart, David. Smoothness of the law of the supremum of the fractional Brownian motion. Electron. Comm. Probab. 8 (2003), 102--111 (electronic). MR2042749 (2005b:60138)
- Nualart, David. The Malliavin calculus and related topics. Second edition. Probability and its Applications (New York). Springer-Verlag, Berlin, 2006. xiv+382 pp. ISBN: 978-3-540-28328-7; 3-540-28328-5 MR2200233 (2006j:60004)
- Nualart, D.; Pardoux, É. White noise driven quasilinear SPDEs with reflection. Probab. Theory Related Fields 93 (1992), no. 1, 77--89. MR1172940 (93h:60093)
- Shigekawa, Ichiro. Vanishing theorem of the Hodge-Kodaira operator for differential forms on a convex domain of the Wiener space. Infin. Dimens. Anal. Quantum Probab. Relat. Top. 6 (2003), suppl., 53--63. MR2074767 (2005g:58071)
- Sugita, Hiroshi. Positive generalized Wiener functions and potential theory over abstract Wiener spaces. Osaka J. Math. 25 (1988), no. 3, 665--696. MR0969026 (90c:60036)
- Watanabe, S. Lectures on stochastic differential equations and Malliavin calculus. Notes by M. Gopalan Nair and B. Rajeev. Tata Institute of Fundamental Research Lectures on Mathematics and Physics, 73. Published for the Tata Institute of Fundamental Research, Bombay; by Springer-Verlag, Berlin, 1984. iii+111 pp. ISBN: 3-540-12897-2 MR0742628 (86b:60113)
- Zambotti, Lorenzo. Integration by parts formulae on convex sets of paths and applications to SPDEs with reflection. Probab. Theory Related Fields 123 (2002), no. 4, 579--600. MR1921014 (2003e:60120)
|
|
|
|
|
|
|
| | | | |
Electronic Communications in Probability. ISSN: 1083-589X |
|