Dr Silvio Fanzon S.Fanzon@hull.ac.uk
Lecturer in Applied Mathematics
Optimal lower exponent for the higher gradient integrability of solutions to two-phase elliptic equations in two dimensions
Fanzon, Silvio; Palombaro, Mariapia
Authors
Mariapia Palombaro
Abstract
We study the higher gradient integrability of distributional solutions u to the equation div (σ∇ u) = 0 in dimension two, in the case when the essential range of σ consists of only two elliptic matrices, i.e., σ∈ { σ1, σ2} a.e. in Ω. In Nesi et al. (Ann Inst H Poincaré Anal Non Linéaire 31(3):615–638, 2014), for every pair of elliptic matrices σ1 and σ2, exponents pσ1,2,+∞) and qσ1,1,2) have been found so that if u∈W1,qσ1,σ2(Ω) is solution to the elliptic equation then ∇u∈Lweakpσ1,σ2(Ω) and the optimality of the upper exponent pσ1,σ2 has been proved. In this paper we complement the above result by proving the optimality of the lower exponent qσ1,σ2. Precisely, we show that for every arbitrarily small δ, one can find a particular microgeometry, i.e., an arrangement of the sets σ- 1(σ1) and σ- 1(σ2) , for which there exists a solution u to the corresponding elliptic equation such that ∇u∈Lqσ1,σ2-δ, but ∇u∉Lqσ1,σ2. The existence of such optimal microgeometries is achieved by convex integration methods, adapting to the present setting the geometric constructions provided in Astala et al. (Ann Scuola Norm Sup Pisa Cl Sci 5(7):1–50, 2008) for the isotropic case.
Citation
Fanzon, S., & Palombaro, M. (2017). Optimal lower exponent for the higher gradient integrability of solutions to two-phase elliptic equations in two dimensions. Calculus of Variations and Partial Differential Equations, 56(5), Article 137. https://doi.org/10.1007/s00526-017-1222-9
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 30, 2017 |
Online Publication Date | Aug 29, 2017 |
Publication Date | Oct 1, 2017 |
Deposit Date | May 9, 2023 |
Publicly Available Date | May 15, 2023 |
Journal | Calculus of Variations and Partial Differential Equations |
Print ISSN | 0944-2669 |
Publisher | Springer |
Peer Reviewed | Peer Reviewed |
Volume | 56 |
Issue | 5 |
Article Number | 137 |
DOI | https://doi.org/10.1007/s00526-017-1222-9 |
Public URL | https://hull-repository.worktribe.com/output/4271036 |
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© The Author(s) 2017. This article is an open access publication.
Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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