$L^2$-Caffarelli--Kohn--Nirenberg inequalities on metric measure spaces
Zhe-Feng Xu, Ye Zhang
TL;DR
The paper develops a unified framework for $L^2$-CKN inequalities on metric measure spaces, revealing that a $k$-uniform constant forces a reverse-volume-type monotonicity of weighted ball measures and, under MCP$(0,N)$, rigidity to volume cones. It shows that the $L^2$-CKN inequalities hold for all $k$ precisely on $N$-volume cones, and it provides a stability theory quantifying deviations from Gaussian extremisers on these cones. A key technical tool is Bernstein's theorem, applied via a Gaussian-test function approach, together with needle decomposition to reduce to 1D analysis on transport rays. The results connect sharp Euclidean constants to geometric structure, offering insight into volume-growth rigidity and stability in non-smooth spaces with curvature-dimension-like bounds, and extend to $L^p$ analogues. This yields a robust link between functional inequalities, geometric measure theory, and the structure of metric measure spaces with MCP-type curvature bounds, with potential applications to analysis on spaces with synthetic Ricci bounds.
Abstract
Motivated by the sharp constants in the $L^2$-Caffarelli--Kohn--Nirenberg (or $L^2$-CKN for short) inequalities on Euclidean spaces, we study, in a unified framework, a sequence of $L^2$-CKN inequalities on metric measure spaces. On a general metric measure space, this sequence implies a reverse volume comparison of Günther type. Moreover, on a subclass of spaces admitting the measure contraction property, we show that this sequence of $L^2$-CKN inequalities are valid if and only if the spaces are volume cones. We also provide a stability result for inequalities of this type on volume cones.
