English

Families of functionals representing Sobolev norms

Functional Analysis 2024-05-08 v1 Analysis of PDEs Classical Analysis and ODEs

Abstract

We obtain new characterizations of the Sobolev spaces W˙1,p(RN)\dot W^{1,p}(\mathbb{R}^N) and the bounded variation space BV˙(RN)\dot{BV}(\mathbb{R}^N). The characterizations are in terms of the functionals νγ(Eλ,γ/p[u])\nu_{\gamma} (E_{\lambda,\gamma/p}[u]) where Eλ,γ/p[u]={(x,y)RN×RN ⁣:xy,u(x)u(y)xy1+γ/p>λ} E_{\lambda,\gamma/p}[u]= \Big\{(x,y )\in \mathbb{R}^N \times \mathbb{R}^N \colon x \neq y, \, \frac{|u(x)-u(y)|}{|x-y|^{1+\gamma/p}}>\lambda\Big\} and the measure νγ\nu_{\gamma} is given by dνγ(x,y)=xyγNdxdy\mathrm{d} \nu_\gamma(x,y)=|x-y|^{\gamma-N} \mathrm{d} x \mathrm{d} y. We provide characterizations which involve the Lp,L^{p,\infty}-quasi-norms supλ>0λνγ(Eλ,γ/p[u])1/p\sup_{\lambda>0} \lambda \, \nu_{\gamma} (E_{\lambda,\gamma/p}[u]) ^{1/p} and also exact formulas via corresponding limit functionals, with the limit for λ\lambda\to\infty when γ>0\gamma>0 and the limit for λ0+\lambda\to 0^+ when γ<0\gamma<0. The results unify and substantially extend previous work by Nguyen and by Brezis, Van Schaftingen and Yung. For p>1p>1 the characterizations hold for all γ0\gamma \neq 0. For p=1p=1 the upper bounds for the L1,L^{1,\infty} quasi-norms fail in the range γ[1,0)\gamma\in [-1,0) ; moreover in this case the limit functionals represent the L1L^1 norm of the gradient for CcC^\infty_c-functions but not for generic W˙1,1\dot W^{1,1}-functions. For this situation we provide new counterexamples which are built on self-similar sets of dimension γ+1\gamma+1. For γ=0\gamma=0 the characterizations of Sobolev spaces fail; however we obtain a new formula for the Lipschitz norm via the expressions ν0(Eλ,0[u])\nu_0(E_{\lambda,0}[u]).

Keywords

Cite

@article{arxiv.2109.02930,
  title  = {Families of functionals representing Sobolev norms},
  author = {Haim Brezis and Andreas Seeger and Jean Van Schaftingen and Po-Lam Yung},
  journal= {arXiv preprint arXiv:2109.02930},
  year   = {2024}
}

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40 pages