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Erschienen in: Journal of Scientific Computing 2/2018

11.05.2018

Approximate Homogenization of Fully Nonlinear Elliptic PDEs: Estimates and Numerical Results for Pucci Type Equations

verfasst von: Chris Finlay, Adam M. Oberman

Erschienen in: Journal of Scientific Computing | Ausgabe 2/2018

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Abstract

We are interested in the shape of the homogenized operator \(\overline{F}(Q)\) for PDEs which have the structure of a nonlinear Pucci operator. A typical operator is \(H^{a_1,a_2}(Q,x) = a_1(x) \lambda _{\min }(Q) + a_2(x)\lambda _{\max }(Q)\). Linearization of the operator leads to a non-divergence form homogenization problem, which can be solved by averaging against the invariant measure. We estimate the error obtained by linearization based on semi-concavity estimates on the nonlinear operator. These estimates show that away from high curvature regions, the linearization can be accurate. Numerical results show that for many values of Q, the linearization is highly accurate, and that even near corners, the error can be small (a few percent) even for relatively wide ranges of the coefficients.

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Metadaten
Titel
Approximate Homogenization of Fully Nonlinear Elliptic PDEs: Estimates and Numerical Results for Pucci Type Equations
verfasst von
Chris Finlay
Adam M. Oberman
Publikationsdatum
11.05.2018
Verlag
Springer US
Erschienen in
Journal of Scientific Computing / Ausgabe 2/2018
Print ISSN: 0885-7474
Elektronische ISSN: 1573-7691
DOI
https://doi.org/10.1007/s10915-018-0730-x

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