2022/06/03 by Antonio Giuseppe Grimaldi, Grimaldi, Antonio Giuseppe · 1 citation
Computer Science · Mathematics · #Advanced Mathematical Modeling in Engineering #Analysis of PDEs (math.AP) #Analytic and geometric function theory #FOS: Mathematics #Nonlinear Partial Differential Equations
paper · pdf · doi:10.48550/arxiv.2206.01427
openalex publication_date 2022/06/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We establish the higher fractional differentiability of bounded minimizers to a class of obstacle problems with non-standard growth conditions of the form min \biggl\ ∫Ω F(x,Dw)dx : w ∈ Kψ(Ω) \biggr\, where Ω is a bounded open set of ℝn, n ≥ 2, the function ψ∈ W1,p(Ω) is a fixed function called obstacle and Kψ(Ω) := \ w ∈ W1,p(Ω) : w ≥ ψ a.e. in Ω\ is the class of admissible functions. If the obstacle ψ is locally bounded, we prove that the gradient of solution inherits some fractional differentiability property, assuming that both the gradient of the obstacle and the mapping x ↦ DξF(x,ξ) belong to some suitable Besov space. The main novelty is that such assumptions are not related to the dimension n.