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arxiv: 1905.02562 · v1 · pith:ELRA32ZFnew · submitted 2019-05-05 · 🧮 math.AP

Stochastic homogenization of Λ-convex gradient flows

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keywords stochastichomogenizationconvexlambdaunfoldingdrivenequationsevolutionary
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In this paper we present a stochastic homogenization result for a class of Hilbert space evolutionary gradient systems driven by a quadratic dissipation potential and a $\Lambda$-convex energy functional featuring random and rapidly oscillating coefficients. Specific examples included in the result are Allen-Cahn type equations and evolutionary equations driven by the $p$-Laplace operator with $p\in (1,\infty)$. The homogenization procedure we apply is based on a stochastic two-scale convergence approach. In particular, we define a stochastic unfolding operator which can be considered as a random counterpart of the well-established notion of periodic unfolding. The stochastic unfolding procedure grants a very convenient method for homogenization problems defined in terms of ($\Lambda$-)convex functionals.

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