Hardy-Sobolev interpolation inequalities
Charlotte Dietze, Phan Thành Nam
TL;DR
The paper develops Hardy–Sobolev interpolation inequalities that extend Hardy's inequality to the Sobolev critical exponent by replacing the $L^2$ norm with the energy of the inverse-square potential, and extends to Lorentz norms $L^{p^*,r}$. It provides endpoint results in the radial case with explicit optimizer families $u_\eta$ (for $L^{2^*}$) and $u_c$ (for $L^{2^*,\infty}$), linking to Terracini's radial solutions. In the general case, it proves two main endpoint results: (i) the special case $d=3$, $\theta=1/3$ and (ii) a Lorentz-norm interpolation with sharp $\theta$-range $\frac{p}{\min(r,p^*)} \le \theta \le \frac{1}{p}-\frac{1}{r}$, including sharpness via bubble-type counterexamples. The work clarifies the role of inverse-square energies in critical embeddings and lays groundwork for optimizer existence questions beyond radial symmetry.
Abstract
We derive a family of interpolation estimates which improve Hardy's inequality and cover the Sobolev critical exponent. We also determine all optimizers among radial functions in the endpoint case and discuss open questions on nonrestricted optimizers.
