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首页> 外文期刊>Stochastics: An International Journal of Probability and Stochastic Processes >On the oblique boundary problem with a stochastic inhomogeneity
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On the oblique boundary problem with a stochastic inhomogeneity

机译:具有随机非均匀性的斜边界问题

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摘要

We analyze the regular oblique boundary problem for the Poisson equation on a C{sup}(1,1)-domain with stochastic inhomogeneities. At first we investigate the deterministic problem. Since our assumptions on the inhomogeneities and coefficients are very weak, already in order to formulate the problem, we have to work out properties of functions from Sobolev spaces on submanifolds. An further analysis of Sobolev spaces on submanifolds together with the Lax-Milgram lemma enables us to prove an existence and uniqueness result for the weak solution to the oblique boundary problem under very weak assumptions on coefficients and inhomogeneities. Then, we define the spaces of stochastic functions with help of the tensor product. These spaces enable us to extend the deterministic formulation to the stochastic setting. Under as weak assumptions as in the deterministic case, we are able to prove the existence and uniqueness of a stochastic weak solution to the regular oblique boundary problem for the Poisson equation. Our studies are motivated by problems from geodesy and through concrete examples, we show the applicability of our results. Finally a Ritz-Galerkin approximation is provided. This can be used to compute the stochastic weak solution numerically.
机译:我们分析了具有随机不均匀性的C {sup}(1,1)域上Poisson方程的正则斜边界问题。首先,我们研究确定性问题。由于我们对不均匀性和系数的假设非常微弱,因此为了提出问题,我们必须从子流形上的Sobolev空间中计算出函数的性质。对子流形上的Sobolev空间以及Lax-Milgram引理的进一步分析,使我们能够证明在非常弱的系数和不均匀性假设下,斜边界问题的弱解的存在性和唯一性结果。然后,我们借助张量积定义随机函数的空间。这些空间使我们能够将确定性表述扩展到随机环境。在确定性情况下的弱假设下,我们能够证明Poisson方程正则斜边界问题的随机弱解的存在性和唯一性。我们的研究受到大地测量学问题的启发,并通过具体示例说明了我们的结果的适用性。最后,提供了Ritz-Galerkin近似。这可以用于数值计算随机弱解。

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