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This work builds upon the recent monograph [5] on self-similar Markov trees. A self-similar Markov tree is a random real tree equipped with a function from the tree to $[0,\infty)$ that we call the decoration. Here, we construct local time…

Probability · Mathematics 2026-01-16 Jean Bertoin , Armand Riera , Alejandro Rosales-Ortiz

We study Polish spaces for which a set of possible distances $A \subseteq \mathbb{R}^+$ is fixed in advance. We determine, depending on the properties of $A$, the complexity of the collection of all Polish metric spaces with distances in…

Logic · Mathematics 2020-06-30 Riccardo Camerlo , Alberto Marcone , Luca Motto Ros

Techniques from metric geometry have become fundamental tools in modern mathematical data science, providing principled methods for comparing datasets modeled as finite metric spaces. Two of the central tools in this area are the…

Algebraic Topology · Mathematics 2025-12-10 Yaoying Fu , Evgeniya Lagoda , Shiying Li , Tom Needham , Lander Ver Hoef , Morgan Weiler

A topological space is almost locally compact if it contains a dense locally compact subspace. We generalize a result from \cite{Ma}, showing that isomorphism on Borel classes of almost locally compact Polish metric structures is always…

Logic · Mathematics 2025-08-12 Maciej Malicki

We introduce a class of random compact metric spaces L(\alpha) indexed by \alpha \in (1,2) and which we call stable looptrees. They are made of a collection of random loops glued together along a tree structure, and can be informally be…

Probability · Mathematics 2014-11-14 Nicolas Curien , Igor Kortchemski

Starting from the definition of the Gromov-Hausdorff distance via distortion of correspondences, we add the requirement of semicontinuity of each correspondence and its inverse. It turns out that in the case of lower semicontinuity we…

Metric Geometry · Mathematics 2026-03-30 K. V. Semenov , A. A. Tuzhilin

We construct a compact metric space that has any other compact metric space as a tangent, with respect to the Gromov-Hausdorff distance, at all points. Furthermore, we give examples of compact sets in the Euclidean unit cube, that have…

Metric Geometry · Mathematics 2020-10-02 Changhao Chen , Eino Rossi

Gromov hyperbolicity of a metric space measures the distance of the space from a perfect tree-like structure. The measure has a "worst-case" aspect to it, in the sense that it detects a region in the space which sees the maximum deviation…

Probability · Mathematics 2020-09-29 Sourav Chatterjee , Leila Sloman

In the present paper we investigate the metric space $\cal M$ consisting of isometry classes of compact metric spaces, endowed with the Gromov-Hausdorff metric. We show that for any finite subset $M$ from a sufficiently small neighborhood…

Metric Geometry · Mathematics 2016-05-05 Alexander Ivanov , Alexey Tuzhilin

For local Calabi-Yau manifolds which are total spaces of vector bundle over balloon manifolds, we propose a formal definition of reduced Genus one Gromov-Witten invariants, by assigning contributions from the refined decorated rooted trees.…

Algebraic Geometry · Mathematics 2015-01-28 Xiaowen Hu

We consider a family of measures on a $q$-homogeneous tree that decrease exponentially with respect to the distance from the origin. Such measures are doubling with respect to the Gromov distance. We define atomic Hardy and BMO spaces for…

Analysis of PDEs · Mathematics 2023-01-19 Matteo Monti

In this book, we study Gromov's metric geometric theory on the space of metric measure spaces, based on the idea of concentration of measure phenomenon due to L\'evy and Milman. Although most of the details are omitted in the original…

Metric Geometry · Mathematics 2014-10-03 Takashi Shioya

The notion of asymptotic space for an unbounded metric space has been introduced by Micha Gromov in 1980s. It is intended to capture the structure of a metric space at infinity. The most comprehensive definition of asymptotic space is given…

General Mathematics · Mathematics 2026-04-16 Alexander Shnirelman

In ``Characterization, stability and convergence of hierarchical clustering methods'' by G. E. Carlsson, F. Memoli, the natural way to construct an ultrametric space from a given metric space was presented. It was shown that the…

Metric Geometry · Mathematics 2025-02-03 I. N. Mikhailov

The Gromov-Hausdorff distance ($d_\mathrm{GH}$) provides a natural way of quantifying the dissimilarity between two given metric spaces. It is known that computing $d_\mathrm{GH}$ between two finite metric spaces is NP-hard, even in the…

Metric Geometry · Mathematics 2021-10-08 Facundo Mémoli , Zane Smith , Zhengchao Wan

What is the analogous notion of Gromov-Hausdorff convergence for sequences of spacetimes? Since a Lorentzian manifold is not inherently a metric space, one cannot simply use the traditional definition. One approach offered by Sormani and…

General Relativity and Quantum Cosmology · Physics 2023-10-17 Brian Allen

We consider Gromov-Hausdorff convergence of state spaces for spectral truncations of a compact metric group $G$. We work in the context of order-unit spaces and consider orthogonal projections $P_\Lambda$ in $L^2(G)$ corresponding to finite…

Operator Algebras · Mathematics 2023-10-24 Yvann Gaudillot-Estrada , Walter D. van Suijlekom

WWe define the notion of a random metric space and prove that with probability one such a space is isometricto the Urysohn universal metric space. The main technique is the study of universal and random distance matrices; we relate the…

Representation Theory · Mathematics 2015-06-26 A. M. Vershik

We introduce the notion of controlled products on metric spaces as a generalization of Gromov products, and construct boundaries by using controlled products, which we call the Gromov boundaries. It is shown that the Gromov boundary with…

Metric Geometry · Mathematics 2018-10-23 Tomohiro Fukaya , Shin-ichi Oguni , Takamitsu Yamauchi

A metric measure space is a complete separable metric space equipped with probability measure that has full support. Two such spaces are equivalent if they are isometric as metric spaces via an isometry that maps the probability measure on…

Probability · Mathematics 2014-09-16 Steven N. Evans , Ilya Molchanov