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Algebra of Generalized Stochastic Processes and the Stochastic Dirichlet Problem

机译:广义随机过程的代数与随机Dirichlet问题

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摘要

Following the embedding idea of generalized functions into the Colombeau algebra of generalized functions, we construct a new algebra of generalized stochastic processes and denote it G(W{sup}(2,2);(S){sub}(-1)). This is done by using the chaos expansion form of generalized stochastic processes regarded as linear continuous mappings from the Sobolev space (W{sub}0){sup}(k,2) 0 into the Kondratiev space (S){sub}(-1). As an application, we prove existence and uniqueness of the solution of the equation Lu = h with given stochastic boundary condition. The operator L is assumed to be strictly elliptic in divergence form Lu = {nabla} ·(A · {nabla}u) + c · {nabla}u + du. Its coefficients: the elements of the matrix A and of the vectors b, c and d are assumed to be deterministic Colombeau generalized functions.
机译:遵循将广义函数嵌入到广义函数的Colombeau代数中的思想,我们构造了一个新的广义随机过程代数,并将其表示为G(W {sup}(2,2);(S){sub}(-1)) 。这是通过使用广义随机过程的混沌展开形式完成的,该形式被视为从Sobolev空间(W {sub} 0){sup}(k,2)0到Kondratiev空间(S){sub}(- 1)。作为应用,我们证明了在给定随机边界条件下,方程Lu = h的解的存在性和唯一性。假设算子L的散度形式为Lu = {nabla}·(A·{nabla} u)+ c·{nabla} u + du。它的系数:矩阵A的元素以及向量b,c和d的元素被假定为确定性的Colombeau广义函数。

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