The Fractional Korn Inequality on Uniform Domains and New Korn Inequalities for Truncated Seminorms
Gabriel Acosta, Irene Drelichman, Ricardo Durán, Fernando López-García, Ignacio Ojea
TL;DR
This work addresses fractional Korn inequalities on non-smooth domains, proving the second case on uniform domains by first establishing a truncated-seminorm Korn inequality on John domains and then transferring the result to uniform domains through a norm equivalence between $W^{s,p}$ and its truncated counterpart. The core method combines a discrete Poincaré inequality on Whitney-derived trees with skew-symmetric matrix projections to control the full gradient by its symmetric part in a nonlocal, fractional setting. The authors also obtain weighted estimates with distance-to-boundary weights constrained by the fractional exponent and the Assouad codimension of the boundary, broadening applicability to domains with fractal boundaries. The results provide a robust framework for nonlocal elasticity models and fractional Sobolev regularity on irregular domains, and they introduce a versatile local-to-global strategy based on trees and smoothened cubes that may be useful beyond Korn-type problems.
Abstract
We prove the so-called second case of the fractional Korn inequality for uniform domains. We obtain this result as an application of a novel fractional Korn-type inequality formulated in terms of truncated seminorms, which turns out to be valid for the broader class of John domains. We also obtain weighted estimates in which the weights are certain powers of the distance to the boundary that depend on the fractional exponent and the Assouad codimension of the boundary of the domain.
