Approximation of SBV functions with possibly infinite jump set

We prove an approximation result for functions u∈SBV(Ω;Rm) such that ∇u is p-integrable, 1≤p<∞, and g0(|[u]|) is integrable over the jump set (whose Hn−1 measure is possibly infinite), for some continuous, nondecreasing, subadditive function g0, with g0−1(0)={0}. The approximating functions uj are piecewise affine with piecewise affine jump set; the convergence is that of L1 for uj and the convergence in energy for |∇uj|p and g([uj],νujavax.xml.bind.JAXBElement@4d3684be) for suitable functions g. In particular, uj converges to u BV-strictly, area-strictly, and strongly in BV after composition with a bilipschitz map. If in addition Hn−1(Ju)<∞, we also have convergence of Hn−1(Jujavax.xml.bind.JAXBElement@7ed7bf7f) to Hn−1(Ju).

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Publication Details

Journal
Journal of Functional Analysis
Published
2024-09-20
DOI
https://doi.org/10.1016/j.jfa.2024.110686
Primary Topic
Optimization and Variational Analysis
Type
article
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article

Approximation of SBV functions with possibly infinite jump set

Matteo Focardi, Sergio Conti, Flaviana Iurlano
Journal of Functional Analysis
Optimization and Variational Analysis
article

Approximation of SBV functions with possibly infinite jump set

Matteo Focardi, Sergio Conti, Flaviana Iurlano
article en

Abstract

We prove an approximation result for functions u∈SBV(Ω;Rm) such that ∇u is p-integrable, 1≤p<∞, and g0(|[u]|) is integrable over the jump set (whose Hn−1 measure is possibly infinite), for some continuous, nondecreasing, subadditive function g0, with g0−1(0)={0}. The approximating functions uj are piecewise affine with piecewise affine jump set; the convergence is that of L1 for uj and the convergence in energy for |∇uj|p and g([uj],νujavax.xml.bind.JAXBElement@4d3684be) for suitable functions g. In particular, uj converges to u BV-strictly, area-strictly, and strongly in BV after composition with a bilipschitz map. If in addition Hn−1(Ju)<∞, we also have convergence of Hn−1(Jujavax.xml.bind.JAXBElement@7ed7bf7f) to Hn−1(Ju).

Journal of Functional AnalysisVol. 288(2)
Reduced inequalities
Openalex Percentile: Top 81%
Optimization and Variational Analysis
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