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STOCHASTIC HOMOGENIZATION: CONVEXITY AND NONCONVEXITY

机译:随机均质化:凸性和非凸性

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摘要

In the determination of effective properties of heterogeneous media with random distribution of microinhomogeneities we distinguish, grosso modo, two approaches (similarly to the deterministic case). The first approach is typical for physical and engineering papers where one usually does not introduce a small parameter ε > 0 characterizing mircoinhomogeneities and the notion of effective properties is rather intuitive. The second approach is mathematically rigorous and effective properties, for instance elastic moduli, are derived by performing the limit passage ε → 0 (in an appropriate sense). Just this case will be considered in the present paper. More precisely, we will consider application of G, H - and Γ - convergence to stochastic homogenization problems. We will also present the stochastic two - and multi-scale convergence in the mean as well as comments on application of stochastic partial differential equations.
机译:在确定具有微观不均一性的随机分布的异质介质的有效特性时,我们区分了grosso modo两种方法(类似于确定性情况)。第一种方法通常用于物理和工程论文,其中通常不会引入表征微观不均匀性的小参数ε> 0,并且有效属性的概念相当直观。第二种方法是数学上严格且有效的属性,例如弹性模量,是通过执行极限通道ε→0(在适当的意义上)得出的。本文只考虑这种情况。更准确地说,我们将考虑将G,H-和Γ-收敛应用于随机均质化问题。我们还将介绍均值中的随机二阶和多尺度收敛,以及对随机偏微分方程的应用的评论。

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