Stochastic integration of functions with values in a Banach space

被引:93
|
作者
van Neerven, JMAM
Weis, L
机构
[1] Tech Univ Delft, Delft Inst Appl Math, NL-2600 GA Delft, Netherlands
[2] Tech Univ Karlsruhe, Inst Math 1, D-76128 Karlsruhe, Germany
关键词
stochastic integration in Banach spaces; Pettis integral; Gaussian covariance operator; Gaussian series; cylindrical noise; convergence theorems; stochastic evolution equations;
D O I
10.4064/sm166-2-2
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Let H be a separable real Hilbert space and let E be a real Banach space. In this paper we construct a stochastic integral for certain operator-valued functions Phi: (0,T) -> L(H, E) with respect to a cylindrical Wiener process {W-H(t)}(t epsilon[0,T]). The construction of the integral is given by a series expansion in terms of the stochastic integrals for certain E-valued functions. As a substitute for the Ito isometry we show that the square expectation of the integral equals the radonifying norm of an operator which is canonically associated with the integrand. We obtain characterizations for the class of stochastically integrable functions and prove various convergence theorems. The results are applied to the study of linear evolution equations with additive cylindrical noise in general Banach spaces. An example is presented of a linear evolution equation driven by a one-dimensional Brownian motion which has no weak solution.
引用
收藏
页码:131 / 170
页数:40
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