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The shortest-path, commute time, and diffusion distances on undirected graphs have been widely employed in applications such as dimensionality reduction, link prediction, and trip planning. Increasingly, there is interest in using…

Social and Information Networks · Computer Science 2023-07-27 Zachary M. Boyd , Nicolas Fraiman , Jeremy L. Marzuola , Peter J. Mucha , Braxton Osting , Jonathan Weare

We formulate a theory of shape valid for objects of arbitrary dimension whose contours are path connected. We apply this theory to the design and modeling of viable trajectories of complex dynamical systems. Infinite families of…

Numerical Analysis · Mathematics 2021-10-11 Vladimir García-Morales

Dimensional types of metric scattered spaces are investigated. Revised proofs of Mazurkiewicz-Sierpi\'nski and Knaster-Urbanik theorems are presented. Embeddable properties of countable metric spaces are generalized onto uncountable metric…

General Topology · Mathematics 2015-05-01 Szymon Plewik , Marta Walczyńska

Some examples of three-dimensional metrics of constant curvature defined by solutions of nonlinear integrable differential equations and their generalizations are constructed. The properties of Riemann extensions of the metrics of constant…

Differential Geometry · Mathematics 2009-11-11 V. Dryuma

We study the Fr\'echet $k-$means of a metric measure space when both the measure and the distance are unknown and have to be estimated. We prove a general result that states that the $k-$means are continuous with respect to the measured…

Statistics Theory · Mathematics 2026-03-20 Pablo Groisman , Matthieu Jonckheere , Jordan Serres , Mariela Sued

This article provides an overview of various notions of shape spaces, including the space of parametrized and unparametrized curves, the space of immersions, the diffeomorphism group and the space of Riemannian metrics. We discuss the…

Differential Geometry · Mathematics 2014-10-07 Martin Bauer , Martins Bruveris , Peter W. Michor

The role of integrable systems in string theory is discussed. We remind old examples of the correspondence between stringy partition functions or effective actions and integrable equations, based on effective application of the matrix model…

High Energy Physics - Theory · Physics 2007-05-23 A. Marshakov

We explain how to see finite combinatorics of preorders implicit in the {text} of basic topological definitions or arguments in (Bourbaki, General topology, Ch.I), and define a concise combinatorial notation such that complete definitions…

Category Theory · Mathematics 2024-10-01 Misha Gavrilovich

This article provides examples of distal metric structures. One source of examples are metric valued fields. By analyzing indiscernible sequences, we show that real closed metric valued fields are distal, and conclude that algebraically…

Logic · Mathematics 2025-08-13 Aaron Anderson , Itaï Ben Yaacov

A generic method for combinatorial constructions of intrinsic geometrical spaces is presented. It is based on the well known inverse sequences of finite graphs that determine (in the limit) topological spaces. If a pattern of the…

Computational Geometry · Computer Science 2020-10-09 Stanislaw Ambroszkiewicz

We determine the homeomorphism type of the space of smooth complete nonnegatively curved metrics on surfaces of positive Euler characteristic equipped with the topology of $C^\gamma$ uniform convergence on compact sets, when $\gamma$ is…

Differential Geometry · Mathematics 2017-03-03 Taras Banakh , Igor Belegradek

Metric mean dimension is a metric-depedent quantity to characterize the topological complexity of systems with infinite topological entropy. In this paper, we investigate metric mean dimension of factor maps. (1) We introduce three types of…

Dynamical Systems · Mathematics 2026-05-19 Rui Yang

Many concrete problems are formulated in terms of a finite set of points in $R^n$ which, via the ambient Euclidean metric, becomes a finite metric space. To obtain information from such a space, it is often useful to associate a graph to…

Combinatorics · Mathematics 2022-01-06 Juan M. Alonso

On a smooth connected manifold, we consider all possible locally elliptic and locally bounded measurable coefficient Riemannian metrics called rough Riemannian metrics. We equip this set with an extended metric which is connected if and…

Differential Geometry · Mathematics 2025-07-15 Lashi Bandara , Anisa Hassan

The spaces of Riemannian metrics on a closed manifold $M$ are studied. On the space ${\mathcal M}$ of all Riemannian metrics on $M$ the various weak Riemannian structures are defined and the corresponding connections are studied. The space…

Differential Geometry · Mathematics 2007-05-23 N. K. Smolentsev

We provide a general framework to study convergence properties of families of maps. For manifolds $M$ and $N$ where $M$ is equipped with a volume form $\mathcal{V}$ we consider families of maps in the collection $\{(\phi, B) : B \subset M,…

Differential Geometry · Mathematics 2014-06-18 Joseph Palmer

A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing, and independence testing. This embedding represents any probability measure as a mean…

S-metric and b-metric spaces are metrizable, but it is still quite impossible to get an explicit form of the concerned metric function. To overcome this, the notion of $\phi$-metric is developed by making a suitable modification in triangle…

General Mathematics · Mathematics 2023-08-21 Abhishikta Das , Anirban Kundu , T. Bag

We examine the metrics that arise when a finite set of points is embedded in the real line, in such a way that the distance between each pair of points is at least 1. These metrics are closely related to some other known metrics in the…

Combinatorics · Mathematics 2011-08-02 Adam N. Letchford , Hanna Seitz , Dirk Oliver Theis

We study the metric structure of walks on graphs, understood as Lipschitz sequences. To this end, a weighted metric is introduced to handle sequences, enabling the definition of distances between walks based on stepwise vertex distances and…

Machine Learning · Computer Science 2025-08-28 R. Arnau , A. González Cortés , E. A. Sánchez Pérez , S. Sanjuan