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On non-local almost minimal sets and an application to the non-local Massari's Problem

Serena Dipierro, Enrico Valdinoci, Riccardo Villa

TL;DR

This work develops a non-local regularity theory for almost minimal sets with respect to the $s$-perimeter, establishing Hölder regularity, a monotonicity formula, and a tangent-cone analysis that yields a sharp bound on the singular set's Hausdorff dimension ($\dim_{\\\\ ext{H}} \Sigma_E \leq n-3$). It also elucidates stickiness phenomena, showing that almost-minimality is stable under external perturbations and that both sticking and non-sticking configurations can arise, including intermediate behaviors. The theory is then applied to a non-local Massari's Problem, proving existence of minimizers for prescribed non-local mean curvature with $H\in L^\infty$ and deriving $C^{1,\alpha}$ regularity of the boundary. Overall, the paper connects fractional perimeter variational problems to practical non-local curvature prescriptions, providing rigorous regularity and structural results with broad implications for non-local capillarity and obstacle-type problems.

Abstract

We consider a fractional Plateau's problem dealing with sets with prescribed non-local mean curvature. This problem can be seen as a non-local counterpart of the classical Massari's Problem. We obtain existence and regularity results, relying on a suitable version of the non-local theory for almost minimal sets. In this framework, the fractional curvature term in the energy functional can be interpreted as a perturbation of the fractional perimeter. In addition, we also discuss stickiness phenomena for non-local almost minimal sets.

On non-local almost minimal sets and an application to the non-local Massari's Problem

TL;DR

This work develops a non-local regularity theory for almost minimal sets with respect to the -perimeter, establishing Hölder regularity, a monotonicity formula, and a tangent-cone analysis that yields a sharp bound on the singular set's Hausdorff dimension (). It also elucidates stickiness phenomena, showing that almost-minimality is stable under external perturbations and that both sticking and non-sticking configurations can arise, including intermediate behaviors. The theory is then applied to a non-local Massari's Problem, proving existence of minimizers for prescribed non-local mean curvature with and deriving regularity of the boundary. Overall, the paper connects fractional perimeter variational problems to practical non-local curvature prescriptions, providing rigorous regularity and structural results with broad implications for non-local capillarity and obstacle-type problems.

Abstract

We consider a fractional Plateau's problem dealing with sets with prescribed non-local mean curvature. This problem can be seen as a non-local counterpart of the classical Massari's Problem. We obtain existence and regularity results, relying on a suitable version of the non-local theory for almost minimal sets. In this framework, the fractional curvature term in the energy functional can be interpreted as a perturbation of the fractional perimeter. In addition, we also discuss stickiness phenomena for non-local almost minimal sets.

Paper Structure

This paper contains 37 sections, 50 theorems, 472 equations, 9 figures.

Key Result

Lemma 1.3

$E$ is an almost minimal set with respect to $\Lambda$ if and only if it satisfies both the $\Lambda$-super-solution property and the $\Lambda$-sub-solution property.

Figures (9)

  • Figure 1: The deformed ball $V_{R,r}$ and the set $\mathbb{E}_{R,r}$ (used in the proof of Lemma \ref{['lemma::aux_EL']}).
  • Figure 2: The sticking half-space.
  • Figure 3: A zoom in of the sticking half-space.
  • Figure 4: Smoothing out the external datum.
  • Figure 5: The non-sticking $\mathcal{C}^0\setminus\mathcal{C}^1$ almost minimizer.
  • ...and 4 more figures

Theorems & Definitions (98)

  • Definition 1.1: Non-local almost minimizers
  • Definition 1.2
  • Lemma 1.3
  • Theorem 1.4
  • Remark 1.5
  • Theorem 1.6
  • Proposition 1.7
  • Remark 1.8
  • Theorem 1.9: Monotonicity formula
  • Definition 1.10
  • ...and 88 more