Optimal control for multiscale equations with rough coefficients

Fuente: arXiv
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Hauptverfasser: Chen, Yanping, Zeng, Jiaoyan, Liu, Xinliang, Zhang, Lei
Format: Preprint
Veröffentlicht: 2019
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_version_ 1866909435203420160
author Chen, Yanping
Zeng, Jiaoyan
Liu, Xinliang
Zhang, Lei
author_facet Chen, Yanping
Zeng, Jiaoyan
Liu, Xinliang
Zhang, Lei
contents This paper concerns the convex optimal control problem governed by multiscale elliptic equations with arbitrarily rough $L^\infty$ coefficients, which has important applications in composite materials and geophysics. We use one of the recently developed numerical homogenization techniques, the so-called Rough Polyharmonic Splines (RPS) and its generalization (GRPS) for the efficient resolution of the elliptic operator on the coarse scale. Those methods have optimal convergence rate which do not rely on the regularity of the coefficients nor the concepts of scale-separation or ergodicity. As the iterative solution of the OCP-OPT formulation of the optimal control problem requires solving the corresponding (state and co-state) multiscale elliptic equations many times with different right hand sides, numerical homgogenization approach only requires one-time pre-computation on the fine scale and the following iterations can be done with computational cost proportional to coarse degrees of freedom. Numerical experiments are presented to validate the theoretical analysis.
format Preprint
id arxiv_https___arxiv_org_abs_1901_10624
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle Optimal control for multiscale equations with rough coefficients
Chen, Yanping
Zeng, Jiaoyan
Liu, Xinliang
Zhang, Lei
Numerical Analysis
49J20, 65N15, 65N30, 74Q05
This paper concerns the convex optimal control problem governed by multiscale elliptic equations with arbitrarily rough $L^\infty$ coefficients, which has important applications in composite materials and geophysics. We use one of the recently developed numerical homogenization techniques, the so-called Rough Polyharmonic Splines (RPS) and its generalization (GRPS) for the efficient resolution of the elliptic operator on the coarse scale. Those methods have optimal convergence rate which do not rely on the regularity of the coefficients nor the concepts of scale-separation or ergodicity. As the iterative solution of the OCP-OPT formulation of the optimal control problem requires solving the corresponding (state and co-state) multiscale elliptic equations many times with different right hand sides, numerical homgogenization approach only requires one-time pre-computation on the fine scale and the following iterations can be done with computational cost proportional to coarse degrees of freedom. Numerical experiments are presented to validate the theoretical analysis.
title Optimal control for multiscale equations with rough coefficients
topic Numerical Analysis
49J20, 65N15, 65N30, 74Q05
url https://arxiv.org/abs/1901.10624