2019
DOI: 10.1007/s00526-019-1491-6
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Sobolev regularity for convex functionals on BD

Abstract: We establish the first partial regularity results for (strongly) symmetric quasiconvex functionals of linear growth on BD, the space of functions of bounded deformation. By RINDLER's foundational work [62], symmetric quasiconvexity is the foremost notion as to sequential weak*-lower semicontinuity of functionals on BD. The overarching main difficulty here is ORNSTEIN's Non-Inequality, hereby implying that the BD-case is genuinely different from the study of variational integrals on BV. In particular, this pape… Show more

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Cited by 13 publications
(47 citation statements)
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References 83 publications
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“…By our arguments below-and contrary to the W −1,1 -perturbations in the BV-context [14]the correct perturbation space now turns out to be W −2,1 (see Section 2.2.3 for the definition). Without the aforementioned splitting strategy, in turn inspired by Seregin et al [39,74], we would be bound to argue as in [46], and then the desired ellipticity range 1 < a < 1 + 2 n would not be reached. By the degenerate elliptic behaviour of the integrands, non-uniqueness of generalised minima and the overall lack of Korn's inequality, the proof of Theorem 1.1 requires to overcome both technical and conceptual difficulties and is given in Section 4 below.…”
Section: W 11 Loc -Regularity Of Minimamentioning
confidence: 99%
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“…By our arguments below-and contrary to the W −1,1 -perturbations in the BV-context [14]the correct perturbation space now turns out to be W −2,1 (see Section 2.2.3 for the definition). Without the aforementioned splitting strategy, in turn inspired by Seregin et al [39,74], we would be bound to argue as in [46], and then the desired ellipticity range 1 < a < 1 + 2 n would not be reached. By the degenerate elliptic behaviour of the integrands, non-uniqueness of generalised minima and the overall lack of Korn's inequality, the proof of Theorem 1.1 requires to overcome both technical and conceptual difficulties and is given in Section 4 below.…”
Section: W 11 Loc -Regularity Of Minimamentioning
confidence: 99%
“…Subject to the Dirichlet datum u 0 , the set of all generalised minima is denoted GM(F; u 0 ) and, similarly, the set of all local generalised minima is denoted GM loc (F). As a consequence of [46,Section 5], generalised minimisers always exist in this framework. For future reference, we remark that even if f is strictly convex, generalised minima are not unique in general; see Section 4.1 for more detail.…”
Section: Aim and Scopementioning
confidence: 99%
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