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$L^2$-stability for the variance Brascamp-Lieb inequality

Károly J. Böröczky, Yaozhong W. Qiu, Cyril Roberto

Abstract

We prove an $L^2$-stability estimate for the variance Brascamp-Lieb inequality [J. Funct. Anal. 22 (4), 366-389 (1976)] by bootstrapping the recent $L^1$-stability theorem of Machado and Ramos [arXiv:2511.22636] under an additional assumption, which we call the super-Brascamp-Lieb inequality, of independent interest.

$L^2$-stability for the variance Brascamp-Lieb inequality

Abstract

We prove an -stability estimate for the variance Brascamp-Lieb inequality [J. Funct. Anal. 22 (4), 366-389 (1976)] by bootstrapping the recent -stability theorem of Machado and Ramos [arXiv:2511.22636] under an additional assumption, which we call the super-Brascamp-Lieb inequality, of independent interest.
Paper Structure (8 sections, 7 theorems, 74 equations)

This paper contains 8 sections, 7 theorems, 74 equations.

Key Result

Theorem 2.1

Let $f: \mathbb{R}^n \rightarrow \mathbb{R}$ be smooth, such that $\varepsilon \coloneq \int \langle (V")^{-1} f', f' \rangle d\mu_V - \mathop{\mathrm{Var}}\nolimits_{\mu_V}(f) > 0$ and $\int fd\mu_V = 0$. Suppose that for any $g: \mathbb{R}^n \rightarrow \mathbb{R}$ smooth for some $\delta \in (0, 1)$ and some $C_0 > 0$. Then there exists $\theta = \theta(f) \in \mathbb{R}^n$ such that with $C

Theorems & Definitions (17)

  • Theorem 2.1
  • Lemma 1
  • proof
  • proof : Proof of Theorem \ref{['thm:l1+sbl=l2']}
  • Remark 1
  • Proposition 2
  • proof
  • Example 2
  • Proposition 3
  • Remark 3
  • ...and 7 more