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PreprintCC BY-NC-SA 4.0arXiv

Simplifying the computation of weak-⋆ second subderivatives of convex functionals via Γ-convergence

Abstract

We prove (under some mild assumptions) that the strong-strong twice epidifferentiability of a convex functional is equivalent to the weak-⋆ twice epidifferentiability of its conjugate functional. Further, the corresponding subderivatives are (up to scaling) conjugates of each other. This result can be used to facilitate the computation of weak-⋆ second subderivatives, which are crucial ingredients in no-gap second-order optimality conditions. We also show that weak-⋆ second subderivatives are invariant under suitable changes of the underlying function space setting.

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BibTeX
@misc{wachsmuth2026simplifying,
  title = {{Simplifying the computation of weak-$\star$ second subderivatives of convex functionals via $Γ$-convergence}},
  author = {Gerd Wachsmuth},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.01673},
  eprint = {2610.01673},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.01673},
  note = {CC BY-NC-SA 4.0},
}
RIS
TY  - UNPB
TI  - Simplifying the computation of weak-⋆ second subderivatives of convex functionals via Γ-convergence
AU  - Gerd Wachsmuth
PY  - 2026
DA  - 2026/10/01
PB  - arXiv
DO  - 10.48550/arxiv.2610.01673
UR  - https://arxiv.org/abs/2610.01673
AB  - We prove (under some mild assumptions) that the strong-strong twice epidifferentiability of a convex functional is equivalent to the weak-⋆ twice epidifferentiability of its conjugate functional. Further, the corresponding subderivatives are (up to scaling) conjugates of each other. This result can be used to facilitate the computation of weak-⋆ second subderivatives, which are crucial ingredients in no-gap second-order optimality conditions. We also show that weak-⋆ second subderivatives are invariant under suitable changes of the underlying function space setting.
ER  -