English

A relaxation result in the vectorial setting and $L^p$-approximation for $L^\infty$-functionals

Optimization and Control 2019-09-26 v1

Abstract

We provide relaxation for not lower semicontinuous supremal functionals of the type W1,(Ω;Rd)u\supessxΩf(u(x))W^{1,\infty}(\Omega;\mathbb R^d) \ni u \mapsto\supess_{ x \in \Omega}f(\nabla u(x)) in the vectorial case, where ΩRN\Omega\subset \mathbb R^N is a Lipschitz, bounded open set, and ff is level convex. The connection with indicator functionals is also enlightened, thus extending previous lower semicontinuity results in that framework. Finally we discuss the LpL^p-approximation of supremal functionals, with non-negative, coercive densities f=f(x,ξ)f=f(x,\xi), which are only \LN\Bd×N\L^N \otimes \B_{d \times N}-measurable.

Keywords

Cite

@article{arxiv.1909.11411,
  title  = {A relaxation result in the vectorial setting and $L^p$-approximation for $L^\infty$-functionals},
  author = {Francesca Prinari and Elvira Zappale},
  journal= {arXiv preprint arXiv:1909.11411},
  year   = {2019}
}

Comments

27 pages

R2 v1 2026-06-23T11:25:18.912Z