Sharp quantitative nonembeddability of the Heisenberg group into superreflexive Banach spaces
Tim Austin, Assaf Naor, Romain Tessera

TL;DR
This paper establishes sharp quantitative bounds on how poorly the discrete Heisenberg group can be embedded into superreflexive Banach spaces, revealing fundamental geometric obstructions.
Contribution
It provides the first sharp quantitative nonembeddability results for the Heisenberg group into superreflexive Banach spaces, including new bounds for Lipschitz and bi-Lipschitz embeddings.
Findings
Lipschitz embeddings distort distances by at least a logarithmic factor.
Embedding a ball of radius R incurs distortion growing as (log R / log log R)^{1/p}.
Results are sharp up to iterated logarithm terms.
Abstract
Let \H denote the discrete Heisenberg group, equipped with a word metric associated to some finite symmetric generating set. We show that if is a -convex Banach space then for any Lipschitz function there exist x,y\in \H with arbitrarily large and \begin{equation}\label{eq:comp abs} \frac{\|f(x)-f(y)\|}{d_W(x,y)}\lesssim \left(\frac{\log\log d_W(x,y)}{\log d_W(x,y)}\right)^{1/p}. \end{equation} We also show that any embedding into of a ball of radius in \H incurs bi-Lipschitz distortion that grows at least as a constant multiple of \begin{equation}\label{eq:dist abs} \left(\frac{\log R}{\log\log R}\right)^{1/p}. \end{equation} Both~\eqref{eq:comp abs} and~\eqref{eq:dist abs} are sharp up to the iterated logarithm terms. When is Hilbert space we obtain a representation-theoretic proof yielding bounds corresponding…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
