We provide relaxation for not lower semicontinuous supremal functionals defined on vectorial Lipschitz functions, where the Borel level convex density depends only on the gradient. The connection with indicator functionals is also enlightened, thus extending previous lower semicontinuity results in that framework. Finally, we discuss the power law approximation of supremal functionals, with nonnegative, coercive densities having explicit dependence also on the spatial variable, and satisfying minimal measurability assumptions.

A Relaxation Result in the Vectorial Setting and Power Law Approximation for Supremal Functionals

Prinari F.
;
Zappale E.
2020

Abstract

We provide relaxation for not lower semicontinuous supremal functionals defined on vectorial Lipschitz functions, where the Borel level convex density depends only on the gradient. The connection with indicator functionals is also enlightened, thus extending previous lower semicontinuity results in that framework. Finally, we discuss the power law approximation of supremal functionals, with nonnegative, coercive densities having explicit dependence also on the spatial variable, and satisfying minimal measurability assumptions.
2020
Prinari, F.; Zappale, E.
File in questo prodotto:
File Dimensione Formato  
Prinari-Zappale2020_Article_ARelaxationResultInTheVectoria.pdf

solo gestori archivio

Descrizione: versione editoriale
Tipologia: Full text (versione editoriale)
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 517.12 kB
Formato Adobe PDF
517.12 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Prinari_Zappale2020.pdf

accesso aperto

Descrizione: versione preprint
Tipologia: Pre-print
Licenza: PUBBLICO - Pubblico con Copyright
Dimensione 409.95 kB
Formato Adobe PDF
409.95 kB Adobe PDF Visualizza/Apri

I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2421510
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? 7
social impact