Stochastic homogenization of A-convex gradient flows
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
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 is an element of (1, infinity). 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.
Details
Original language | English |
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Pages (from-to) | 427-453 |
Number of pages | 27 |
Journal | Discrete and continuous dynamical systems-Series s |
Volume | 14 |
Issue number | 1 |
Publication status | Published - Jan 2021 |
Peer-reviewed | Yes |
Externally published | Yes |
External IDs
Scopus | 85098882990 |
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Keywords
Keywords
- Stochastic homogenization, stochastic unfolding, two-scale convergence, gradient system, 2-SCALE HOMOGENIZATION, GAMMA-CONVERGENCE, RANDOM-WALKS, HILBERT, SPACES