On the Lavrentiev gap for convex, vectorial integral functionals

We prove the absence of a Lavrentiev gap for vectorial integral functionals of the form F : g + W 0 1 , 1 ( Ω ) m → [ 0 , + ∞ ] , F ( u ) = ∫ Ω J ( x , D u ) d x , where the boundary datum g : Ω ⊂ R d → R m is sufficiently regular, ξ ↦ J ( x , ξ ) is convex and lower semicontinuous, satisfies p -growth from below and suitable growth conditions from above. More precisely, if p ≤ d − 1 , we assume q -growth from above with q ≤ ( d − 1 ) p d − 1 − p , while for p > d − 1 or p = 1 if d = 2 , we require essentially no growth conditions from above and allow for unbounded integrands. Concerning the x -dependence, we impose a well-known local stability estimate that is redundant in the autonomous setting, but in the general non-autonomous case can further restrict the growth assumptions.

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Publication Details

Journal
Journal of Functional Analysis
Published
2024-12-10
DOI
https://doi.org/10.1016/j.jfa.2024.110793
Citations
3
Primary Topic
Advanced Mathematical Modeling in Engineering
Type
article
Field-Weighted Citation Impact
1.08
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article

On the Lavrentiev gap for convex, vectorial integral functionals

Mathias Schäffner, Matthias Ruf, Lukas Koch
3 citations
Journal of Functional Analysis
Advanced Mathematical Modeling in Engineering
1.08
article

On the Lavrentiev gap for convex, vectorial integral functionals

Mathias Schäffner, Matthias Ruf, Lukas Koch
article en
3 citations

Abstract

We prove the absence of a Lavrentiev gap for vectorial integral functionals of the form F : g + W 0 1 , 1 ( Ω ) m → [ 0 , + ∞ ] , F ( u ) = ∫ Ω J ( x , D u ) d x , where the boundary datum g : Ω ⊂ R d → R m is sufficiently regular, ξ ↦ J ( x , ξ ) is convex and lower semicontinuous, satisfies p -growth from below and suitable growth conditions from above. More precisely, if p ≤ d − 1 , we assume q -growth from above with q ≤ ( d − 1 ) p d − 1 − p , while for p > d − 1 or p = 1 if d = 2 , we require essentially no growth conditions from above and allow for unbounded integrands. Concerning the x -dependence, we impose a well-known local stability estimate that is redundant in the autonomous setting, but in the general non-autonomous case can further restrict the growth assumptions.

Journal of Functional AnalysisVol. 288(5)
University of Sussex (GB), University of Augsburg (DE), Martin Luther University Halle-Wittenberg (DE)
Openalex Percentile: Top 19%
Advanced Mathematical Modeling in Engineering
1.08
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On the Lavrentiev gap for convex, vectorial integral functionals — Mathias Schäffner, Matthias Ruf, et al. · Journal of Functional Analysis (2024) | TGRS Research Map | TGRS