Monotone approximation of differentiable convex functions with applications to general minimization problems

We study minimizers of non-autonomous energies with minimal growth and coercivity assumptions on the energy. We show that the minimizer is nevertheless the solution of the relevant Euler–Lagrange equation or inequality. The main tool is an extension result for convex $ C^1 $-energies.

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Publication Details

Journal
Communications on Pure &amp Applied Analysis
Published
2025-01-01
DOI
https://doi.org/10.3934/cpaa.2025051
Primary Topic
Optimization and Variational Analysis
Type
article
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article

Monotone approximation of differentiable convex functions with applications to general minimization problems

Petteri Harjulehto, Peter Hästö, Andrea Torricelli
Communications on Pure &amp Applied Analysis
Optimization and Variational Analysis
article

Monotone approximation of differentiable convex functions with applications to general minimization problems

Petteri Harjulehto, Peter Hästö, Andrea Torricelli
article en

Abstract

We study minimizers of non-autonomous energies with minimal growth and coercivity assumptions on the energy. We show that the minimizer is nevertheless the solution of the relevant Euler–Lagrange equation or inequality. The main tool is an extension result for convex $ C^1 $-energies.

Communications on Pure &amp Applied AnalysisVol. 24(9)
Statistics Finland (FI), University of Helsinki (FI), Politecnico di Torino (IT)
Openalex Percentile: Top 93%
Optimization and Variational Analysis
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