Rank-one convex functions on 2×2 symmetric matrices and laminates on rank-three lines |
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Authors: | S Conti D Faraco F Maggi S Müller |
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Institution: | 1. Max-Planck-Institute for Mathematics in the Sciences, Inselstr. 22-26, 04103, Leipzig, Germany 2. Fachbereich Mathematik, Universit?t Duisburg-Essen, Lotharstr. 65, 47057, Duisburg, Germany 3. Departamento de Matemáticas, Universidad Autónoma de Madrid, 28049, Madrid, Spain
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Abstract: | We construct a function on the space of symmetric 2× 2 matrices in such a way that it is convex on rank-one directions and
its distributional Hessian is not a locally bounded measure. This paper is also an illustration of a recently proposed technique
to disprove L1 estimates by the construction of suitable probability measures (laminates) in matrix space. From this point of view the novelty
is that the support of the laminate, besides satisfying a convex constraint, needs to be contained on a rank-three line, up
to arbitrarily small errors.
Mathematics Subject Classification (2000): 35J50 – 26D15 – 49N60 –74G65 |
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Keywords: | |
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