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Friday, February 11, 2011
10:00 AM - 11:00 AM
CNLS Conference Room (TA-3, Bldg 1690)

Seminar

Flux norm approach to finite-dimensional homogenization approximation with non-separated scales and high contrast.

Leonid Berlyand
Department of Mathematics, Penn State University

Classical homogenization theory deals with mathematical models of strongly inhomogeneous media described by PDEs with rapidly oscillating coefficients of the form A(x/ε), ε → 0. The goal is to approximate this problem by a homogenized (simpler) PDE with slowly varying coefficients that do not depend on the small parameter ε. The original problem has two scales: fine O(ε) and coarse O(1), whereas the homogenized problem has only a coarse scale. The homogenization of PDEs with periodic or random ergodic coefficients and well-separated scales is well understood. In a joint work with H. Owhadi (Caltech) we consider the most general case of arbitrary L∞ coefficients, which may contain infinitely many scales that are not necessarily well-separated. Specifically, we study scalar and vectorial divergence-form elliptic PDEs with such coefficients. We es- tablish two finite-dimensional homogenization approximations that generalize the correctors in classical homogenization. We introduce a flux norm and establish the error estimate in this norm with an explicit and optimal error constant independent of the contrast and regularity of the coefficients. A proper generalization of the notion of a cell problem is the key issue in our consideration. If time permits, we will discuss most recent results (L. Zhang, Owhadi) on lo- calized multiscale basis that allows for numerical implementation of our theoretical results and work in progress (with Fedorov, Owhadi and Zhang) on self-assembled protein aggregates.

Host: Vitaliy Gyrya, T-5, 5-2729