Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
126 tokens/sec
GPT-4o
47 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

The best approximation of a given function in $L^2$-norm by Lipschitz functions with gradient constraint (2307.12895v1)

Published 24 Jul 2023 in math.AP

Abstract: The starting point of this paper is the study of the asymptotic behavior, as $p\to\infty$, of the following minimization problem $$ \min\left{\frac1{p}\int|\nabla v|{p}+\frac12\int(v-f)2 \,, \quad \ v\in W{1,p} (\Omega)\right}. $$ We show that the limit problem provides the best approximation, in the $L2$-norm, of the datum $f$ 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 $(N-1)$-Hausdorff measure of the jump set of the function.

Summary

We haven't generated a summary for this paper yet.