Central and $L^p$-concentration of 1-Lipschitz maps into $\mathbb{R}$-trees
Kei Funano

TL;DR
This paper investigates how 1-Lipschitz maps from metric measure spaces concentrate into $ ext{R}$-trees and shows that such concentration is equivalent to concentration into the real line, revealing a fundamental geometric property.
Contribution
It establishes the equivalence between concentration phenomena into $ ext{R}$-trees and the real line for 1-Lipschitz maps from mm-spaces, advancing understanding of metric measure space geometry.
Findings
Concentration to $ ext{R}$-trees is equivalent to concentration to the real line.
Main theorems demonstrate this equivalence for 1-Lipschitz maps.
Results deepen the understanding of geometric concentration phenomena.
Abstract
In this paper, we study the L\'{e}vy-Milman concentration phenomenon of 1-Lipschitz maps from mm-spaces to -trees. Our main theorems assert that the concentration to -trees is equivalent to the concentration to the real line.
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.
Taxonomy
Topicsadvanced mathematical theories · Topological and Geometric Data Analysis · Mathematical Dynamics and Fractals
