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Thin Obstacle Problem in Orlicz Spaces

Updated 8 February 2026
  • Thin Obstacle Problem in Orlicz Spaces is defined as minimizing an energy functional with a unilateral constraint using convex Orlicz functions to handle non-polynomial growth.
  • The approach employs variational formulations in Orlicz–Sobolev spaces and adapts De Giorgi iteration techniques to establish Lipschitz continuity and Hölder regularity for minimizers.
  • The study provides a detailed geometric stratification of the nodal set, characterizing submanifold structures and boundary regularity through explicit variational inequalities.

The thin obstacle problem in Orlicz spaces addresses the minimization of an energy functional under a unilateral constraint posed by a thin set, where the growth of the integrand is governed by a convex Orlicz function rather than the classical pp-power. The analysis in Orlicz–Sobolev spaces presents new technical challenges and extends the scope of classical variational methods. Central to this theory is the establishment of regularity results for minimizers, including Lipschitz continuity and Hölder continuity of their gradients, as well as a geometric characterization of the nodal set structure of solutions (Bessa et al., 1 Feb 2026).

1. Variational Formulation in Orlicz–Sobolev Spaces

Let G:[0,)[0,)G:[0,\infty)\rightarrow [0,\infty) denote an N-function (Orlicz function), a convex C1(0,)C^1(0,\infty) function with G(0)=0G(0)=0, derivative G=gG' = g, and satisfying Lieberman’s growth conditions: there exist constants 0<Δ0g0<0<\Delta_0 \leq g_0 <\infty such that for all t>0t>0,

Δ0tg(t)g(t)g0.\Delta_0 \leq \frac{t g'(t)}{g(t)} \leq g_0.

The Orlicz space LG(Ω)L^G(\Omega) comprises measurable hh with finite modular

ρG(h)=ΩG(h)dx,\rho_G(h)=\int_\Omega G(|h|)\,dx,

with the Luxemburg norm hLG=inf{λ>0:ΩG(h/λ)1}\|h\|_{L^G}=\inf\{\lambda>0 : \int_\Omega G(|h|/\lambda)\leq 1\}. The Orlicz–Sobolev space W1,G(Ω)W^{1,G}(\Omega) consists of uLG(Ω)u\in L^G(\Omega) with weak derivatives iuLG(Ω)\partial_i u\in L^G(\Omega), normed by uW1,G=uLG+uLG\|u\|_{W^{1,G}}=\|u\|_{L^G}+\|\nabla u\|_{L^G}.

Domain configuration uses the upper half-ball B1+={xB1:xn>0}RnB_1^+ = \{x\in B_1: x_n > 0\} \subset \mathbb{R}^n, with flat boundary T1={xB1:xn=0}T_1 = \{x \in B_1 : x_n = 0\} and boundary data φW1,G(B1+)C0(Bˉ1+)\varphi \in W^{1,G}(B_1^+) \cap C^0(\bar B_1^+ ) satisfying φ0\varphi\geq0 on T1T_1. The admissible class is

G={vW1,G(B1+):v=φ on B1+T1,v0 on T1}.\mathcal{G} = \{v \in W^{1,G}(B_1^+): v = \varphi \text{ on } \partial B_1^+ \setminus T_1,\, v\geq 0 \text{ on } T_1 \}.

The variational objective is to minimize

J(u)=B1+G(u)dxJ(u) = \int_{B_1^+} G(|\nabla u|)\, dx

over G\mathcal{G}. Existence of minimizers uu follows by direct methods leveraging convexity and compactness (Bessa et al., 1 Feb 2026).

2. Euler–Lagrange Variational Inequality and Boundary Conditions

The presence of a unilateral constraint u0u\geq 0 on T1T_1 translates, upon taking the first variation, into a variational inequality. Minimizers uu are gg-harmonic inside B1+B_1^+:

B1+g(u)uuϕ=0\int_{B_1^+} \frac{g(|\nabla u|)}{|\nabla u|} \nabla u \cdot \nabla \phi = 0

for all ϕC0(B1+)\phi\in C_0^\infty(B_1^+).

On the thin set T1T_1, the minimizer satisfies Signorini-type (complementarity) boundary conditions:

  • u0u \geq 0,
  • g(u)uuxn0\frac{g(|\nabla u|)}{|\nabla u|} u_{x_n} \leq 0,
  • u(g(u)uuxn)=0u \cdot \left(\frac{g(|\nabla u|)}{|\nabla u|} u_{x_n}\right) = 0,

which encode the absence of flux through T1T_1 where u>0u>0 and nonpositive normal derivative where u=0u = 0 (Bessa et al., 1 Feb 2026).

3. Regularity via De Giorgi Iteration: Lipschitz Estimates

The regularity analysis adapts De Giorgi’s iterative scheme to the nonhomogeneous Orlicz-growth setting. The approach involves an even extension u~(x,xn)=u(x,xn)\tilde u(x',x_n) = u(x',|x_n|), which belongs to W1,G(B1)W^{1,G}(B_1) and solves a related obstacle problem with continuous obstacle ψ\psi vanishing on T1T_1. Utilizing C1,αC^{1,\alpha} boundary regularity for gg-harmonic functions, it is established that ψ\psi is Lipschitz with constant proportional to uL\|u\|_{L^\infty}.

A barrier comparison and Harnack estimate for uu—lifting techniques from the classical theory—result in uniform control:

supBr/2u~u~(x0)CuLr\sup_{B_{r/2}}\big|\tilde u - \tilde u(x_0)\big|\leq C \|u\|_{L^\infty} r

for all balls Br(x0)B_r(x_0) intersecting T1T_1. Covering B3/4+B^+_{3/4} yields

uC0,1(B3/4+),uC0,1(B3/4+)C(n,Δ0,g0,g(1))uL(B1+).u \in C^{0,1}(B_{3/4}^+),\quad \|u\|_{C^{0,1}(B_{3/4}^+)} \leq C(n,\Delta_0, g_0, g(1)) \|u\|_{L^\infty(B_1^+)}.

Caccioppoli inequalities and a refined De Giorgi iteration—featuring level-set energy decay and Giusti-type abstract lemmas—give LL^\infty bounds for tangential derivatives uxmu_{x_m}, ensuring global Lipschitz continuity of u\nabla u up to T1T_1 (Bessa et al., 1 Feb 2026).

4. Hölder Regularity of the Gradient

A “boundary improvement” lemma ensures that at any free–boundary point x0{u=0}T1x_0\in \partial\{u=0\} \cap T_1, some partial derivative decreases by a geometric factor when passing to smaller scales after normalization. This leverages previously obtained De Giorgi estimates and compactness arguments at boundary points. An abstract covering and iteration lemma (of Andersson–Mikayelyan type) is applied to the supremum function ω(R)=supBR/2u\omega(R) = \sup_{B_{R/2}}|\nabla u|, yielding a decay

ω(R)C(R/R0)β\omega(R) \leq C (R/R_0)^\beta

with explicit β=β(n,Δ0,λ)>0\beta = \beta(n, \Delta_0, \lambda) > 0. By patching with interior C1,αC^{1,\alpha} regularity for gg-harmonic functions, one concludes

uC1,γ(Bˉ1/2+),γ=min{β, interior α},u \in C^{1,\gamma}(\bar B^+_{1/2}),\qquad \gamma = \min\{\beta, \text{ interior }\alpha\},

so that u\nabla u is Hölder continuous with exponent γ\gamma depending only on nn, Δ0\Delta_0, g0g_0 (Bessa et al., 1 Feb 2026).

5. Structure of the Nodal Set for the Thin Obstacle

The geometry of the contact set {u=0}\{u=0\} on the thin set is described with k-th order nodal sets:

nk(u)={xBˉ1/2+:Dαu(x)=0 for α<k,β=k,Dβu(x)0}.\mathfrak{n}_k(u) = \{x \in \bar B^+_{1/2}: D^\alpha u(x) = 0 \text{ for } |\alpha|<k,\, \exists |\beta|=k,\, D^\beta u(x)\neq 0\}.

Leveraging the C1,γC^{1,\gamma} regularity and classical implicit-function theorems (Han's theorem for nodal sets), the first nodal set admits the decomposition

n1(u)=j=0nMj,\mathfrak{n}_1(u) = \bigcup_{j=0}^n \mathcal{M}_j,

where each Mj\mathcal{M}_j is a finite union of jj-dimensional C1,γC^{1,\gamma}-submanifolds of T1T_1. The highest-dimensional stratum Mn1\mathcal{M}_{n-1} is C1,γC^{1,\gamma}; lower strata are of lower dimension. The constants involved in all regularity statements depend explicitly on n,Δ0,g0,g(1)n, \Delta_0, g_0, g(1) and φ\|\varphi\| (Bessa et al., 1 Feb 2026).

6. Technical Framework and Relevance

The analytical strategy fundamentally extends De Giorgi's regularity theory to variable, non-polynomial growth functionals. The results provide a detailed regularity theory for thin obstacle problems with Orlicz growth, establishing both optimal regularity bounds for minimizers and a geometric stratification of the nodal set, via a careful combination of classical and modern techniques in the calculus of variations and nonlinear PDE regularity. All foundational lemmas and iteration procedures appear with explicit dependencies, and the approach is fully detailed in the work of Bessa, Silva, and Sousa (Bessa et al., 1 Feb 2026).

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