English

The best approximation of a given function in $L^2$-norm by Lipschitz functions with gradient constraint

Analysis of PDEs 2023-07-25 v1

Abstract

The starting point of this paper is the study of the asymptotic behavior, as pp\to\infty, of the following minimization problem min{1pvp+12(vf)2, vW1,p(Ω)}. \min\left\{\frac1{p}\int|\nabla v|^{p}+\frac12\int(v-f)^2 \,, \quad \ v\in W^{1,p} (\Omega)\right\}. We show that the limit problem provides the best approximation, in the L2L^2-norm, of the datum ff among all Lipschitz functions with Lipschitz constant less or equal than one. Moreover such approximation verifies a suitable PDE in the viscosity sense. After the analysis of the model problem above, we consider the asymptotic behavior of a related family of nonvariational equations and, finally, we also deal with some functionals involving the (N1)(N-1)-Hausdorff measure of the jump set of the function.

Keywords

Cite

@article{arxiv.2307.12895,
  title  = {The best approximation of a given function in $L^2$-norm by Lipschitz functions with gradient constraint},
  author = {Stefano Buccheri and Tommaso Leonori and Julio D. Rossi},
  journal= {arXiv preprint arXiv:2307.12895},
  year   = {2023}
}
R2 v1 2026-06-28T11:38:47.961Z