Sharp Stability for the Affine Fractional Sobolev Inequality
Pith reviewed 2026-05-07 14:50 UTC · model grok-4.3
The pith
The affine fractional L2-Sobolev inequality admits a sharp quantitative stability estimate whose optimal global constant is strictly smaller than the local spectral gap.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
In this paper, we prove a sharp quantitative stability result for the affine fractional L^2-Sobolev inequality in dot H^s(R^n), 0<s<1, introduced by Haddad--Ludwig. In particular, we identify the kernel of the affine Hessian, determine the sharp local spectral gap, and show that the optimal global stability constant is strictly smaller than the corresponding local spectral value.
What carries the argument
The affine Hessian operator, whose kernel consists of the equality cases of the inequality and whose quadratic form yields the local spectral gap used to bound the stability deficit.
If this is right
- The stability deficit is controlled by a constant strictly smaller than the local spectral gap value.
- The kernel of the affine Hessian fully characterizes the equality cases.
- Local stability estimates near equality cases are given by the sharp spectral gap.
- Global stability holds uniformly for all functions in the space with the improved constant.
Where Pith is reading between the lines
- The strict inequality between global and local constants suggests that the worst-case stability occurs away from the equality cases rather than in the linearized regime.
- The identification of the kernel may allow direct computation of near-minimizers in related variational problems.
- The method of comparing local spectral gap to global constant could be tested on other affine or fractional inequalities.
Load-bearing premise
The affine fractional Sobolev inequality holds with equality only for the functions identified by Haddad-Ludwig, and the functions under consideration lie in dot H^s(R^n) so that the affine Hessian is defined.
What would settle it
An explicit test function in dot H^s(R^n) whose ratio of stability deficit to squared distance to the identified kernel falls below the claimed global constant would disprove the result.
read the original abstract
In this paper, we prove a sharp quantitative stability result for the affine fractional \(L^2\)-Sobolev inequality in \(\dot H^s(\mathbb R^n)\), \(0<s<1\), introduced by Haddad--Ludwig (\emph{Math. Ann.} \textbf{388} (2024), 1091--1115). In particular, we identify the kernel of the affine Hessian, determine the sharp local spectral gap, and show that the optimal global stability constant is strictly smaller than the corresponding local spectral value.
Editorial analysis