Rank-one convex functions on 2x2 symmetric matrices and laminates on rank-three lines
Sergio Conti, Daniel Faraco, Francesco Maggi, and Stefan Müller
Contact the author: Please use for correspondence this email.
Submission date: 13. Aug. 2004
published in: Calculus of variations and partial differential equations, 24 (2005) 4, p. 479-493
DOI number (of the published article): 10.1007/s00526-005-0343-8
Download full preprint: PDF (205 kB), PS ziped (192 kB)
We construct a function on the space of symmetric 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 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.