Convolution solutions of an abstract stochastic Cauchy problem

被引:0
|
作者
S. V. Zdobnova
机构
[1] Magnitogorsk State Technical University,
来源
Differential Equations | 2010年 / 46卷
关键词
Weak Solution; Separable Hilbert Space; Multiplicative Noise; Predictable Process; Operator Semigroup;
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摘要
We study convolution solutions of an abstract stochastic Cauchy problem with the generator of a convolution operator semigroup. In the case of additive noise, we prove the existence and uniqueness of a weak convolution solution; this solution is described by a formula generalizing the classical Cauchy formula in which the solution operators of the homogeneous problem are replaced by the convolution solution operators of the homogeneous problem. For the problem with multiplicative noise, we find a condition under which the weak convolution solution coincides with the soft solution and indicate a sufficient condition for the existence and uniqueness of a weak convolution solution; the latter can be obtained by the successive approximation method.
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页码:808 / 817
页数:9
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