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Some computable quasiconvex multiwell models in linear subspaces without rank-one matrices
- Source :
- Electronic Research Archive, Vol 30, Iss 5, Pp 1632-1652 (2022)
- Publication Year :
- 2022
- Publisher :
- AIMS Press, 2022.
-
Abstract
- In this paper we apply a smoothing technique for the maximum function, based on the compensated convex transforms, originally proposed by Zhang in [1] to construct some computable multiwell non-negative quasiconvex functions in the calculus of variations. Let $ K\subseteq E\subseteq M^{m\times n} $ with $ K $ a finite set in a linear subspace $ E $ without rank-one matrices of the space $ M^{m\times n} $ of real $ m\times n $ matrices. Our main aim is to construct computable quasiconvex lower bounds for the following two multiwell models with possibly uneven wells: i) Let $ f:K\subseteq E\to E^\perp $ be an $ L $-Lipschitz mapping with $ 0\leq L\leq 1/\alpha $ and $ H_2(X) = \min\{ |P_EX-A_i|^2+\alpha|P_{E^\perp}X-f(A_i)|^2+\beta_i:\, i = 1, 2, \dots, k\} $, where $ \alpha > 0 $ is a control parameter, and ii) $ H_1(X) = \alpha|P_{E^\perp}X|^2+\min\{\sqrt{|\mathcal{U}_i(P_EX-A_i)|^2+\gamma_i}: i = 1, 2, \dots, k\} $, where $ A_i\in E $ with $ U_i:E\to E $ invertible linear transforms for $ i = 1, 2, \dots, k $. If the control paramenter $ \alpha > 0 $ is sufficiently large, our quasiconvex lower bounds are 'tight' in the sense that near each 'well' the lower bound agrees with the original function, and our lower bound are of $ C^{1, 1} $. We also consider generalisations of our constructions to other simple geometrical multiwell models and discuss the implications of our constructions to the corresponding variational problems.
- Subjects :
- multiwell models
vectorial calculus of variations
quasiconvex functions
quasiconvex envelope
quasiconvex lower bounds
computational lower boundes
translation method
maximum function
compensated convex transforms
c1,1-smooth approximation
Mathematics
QA1-939
Applied mathematics. Quantitative methods
T57-57.97
Subjects
Details
- Language :
- English
- ISSN :
- 26881594
- Volume :
- 30
- Issue :
- 5
- Database :
- Directory of Open Access Journals
- Journal :
- Electronic Research Archive
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.fd31e48b8ff844369fb55613b2300800
- Document Type :
- article
- Full Text :
- https://doi.org/10.3934/era.2022082?viewType=HTML