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 , of the following minimization problem We show that the limit problem provides the best approximation, in the -norm, of the datum 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 -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}
}