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Through the use of examples, we explain one way in which applied topology has evolved since the birth of persistent homology in the early 2000s. The first applications of topology to data emphasized the global shape of a dataset, such as…

Algebraic Topology · Mathematics 2021-04-23 Henry Adams , Michael Moy

We show that every non-Haar-null analytic subset of $\mathbb{Z}^\omega$ contains a non-Haar-null closed subset. Moreover, we also prove that the codes of Haar-null analytic subsets, and, consequently, closed Haar-null sets in the Effros…

Logic · Mathematics 2020-03-17 Márton Elekes , Márk Poór , Zoltán Vidnyánszky

In previous papers on this project a general static logical framework for formalizing and mechanizing set theories of different strength was suggested, and the power of some predicatively acceptable theories in that framework was explored.…

Logic in Computer Science · Computer Science 2023-06-22 Arnon Avron , Liron Cohen

The concept of $H$-sets as introduced by Collatz in 1956 was very useful in univariate Chebyshev approximation by polynomials or Chebyshev spaces. In the multivariate setting, the situation is much worse, because there is no alternation,…

Numerical Analysis · Mathematics 2021-07-22 Robert Schaback

We develop tame topology over dp-minimal structures equipped with definable uniformities satisfying certain assumptions. Our assumptions are enough to ensure that definable sets are tame: there is a good notion of dimension on definable…

Logic · Mathematics 2019-09-18 Pierre Simon , Erik Walsberg

In this paper we consider the idea of I - convergence of nets of partial function from a metric space (X; d) to a metric space (Y; ?) and derive several basic characterization. This idea extends the concept of convergence of nets of partial…

Functional Analysis · Mathematics 2016-11-17 Prasanta Malik , Argha Ghosh

We describe a mathematical formalism and numerical algorithms for identifying and tracking slowly mixing objects in nonautonomous dynamical systems. In the autonomous setting, such objects are variously known as almost-invariant sets,…

Dynamical Systems · Mathematics 2011-02-16 Gary Froyland , Simon Lloyd , Naratip Santitissadeekorn

We develop a theory of graph algebras over general fields. This is modeled after the theory developed by Freedman, Lov\'asz and Schrijver in [22] for connection matrices, in the study of graph homomorphism functions over real edge weight…

Discrete Mathematics · Computer Science 2020-07-28 Jin-Yi Cai , Artem Govorov

Heffter arrays were introduced by Archdeacon in 2015 as an interesting link between combinatorial designs and topological graph theory. Since the initial paper on this topic, there has been a good deal of interest in Heffter arrays as well…

Combinatorics · Mathematics 2022-09-29 A. Pasotti , J. H. Dinitz

We study several notions of null sets on infinite-dimensional Carnot groups. We prove that a set is Aronszajn null if and only if it is null with respect to measures that are convolutions of absolutely continuous (CAC) measures on Carnot…

Metric Geometry · Mathematics 2023-05-01 Nathaniel Eldredge , Maria Gordina , Enrico Le Donne , Sean Li

We introduce and develop the theory of weakly Arf rings, which is a generalization of Arf rings, initially defined by J. Lipman in 1971. We provide characterizations of weakly Arf rings and study the relation between these rings, the Arf…

Commutative Algebra · Mathematics 2023-07-11 Ela Celikbas , Olgur Celikbas , Cătălin Ciupercă , Naoki Endo , Shiro Goto , Ryotaro Isobe , Naoyuki Matsuoka

Chaotic iterations have been introduced on the one hand by Chazan, Mi- ranker [6] and Miellou [10] in a numerical analysis context, and on the other hand by Robert [12] and Pellegrin [11] in the discrete dynamical systems frame- work. In…

Chaotic Dynamics · Physics 2008-10-28 Jacques M. Bahi , Christophe Guyeux

Convergence of projection-based methods for nonconvex set feasibility problems has been established for sets with ever weaker regularity assumptions. What has not kept pace with these developments is analogous results for convergence of…

Optimization and Control · Mathematics 2020-03-26 Aris Daniilidis , D. Russell Luke , Matthew K. Tam

We study the topology of circularly ordered sets. While the algebraic notion is classical, the general topological theory has received comparatively little attention. In this work we provide a self-contained topological exposition and…

General Topology · Mathematics 2026-04-27 Michael Megrelishvili

Abstract upper densities are monotone and subadditive functions from the power set of positive integers into the unit real interval that generalize the upper densities used in number theory, including the upper asymptotic density, the upper…

Number Theory · Mathematics 2023-09-06 Rafał Filipów , Jacek Tryba

Acharya introduced the notion of set-valuations of graphs as a set analogue of the number valuations of graphs. Also we have the notion of set-indexers, integer additive set-indexers and k-uniform integer additive set-indexers. In this…

Combinatorics · Mathematics 2013-12-31 K A. Germina , N K. Sudev

Self-similarity of systems is very popular and intensively developing field during last decades. To this field belong so-called stable distributions and their generalization. In Klebanov and Sl\'amov\'a (2014) there was given an approach to…

Probability · Mathematics 2014-08-19 Lev B. Klebanov , Lenka Slámová , Ashot Kakosyan , Gregory Temnov

Human Activity Recognition (HAR) has been studied for decades, from data collection, learning models, to post-processing and result interpretations. However, the inherent hierarchy in the activities remains relatively under-explored,…

Signal Processing · Electrical Eng. & Systems 2024-03-12 Jingwei Zuo , Hakim Hacid

A set is called recurrent if its minimal automaton is strongly connected and birecurrent if it is recurrent as well as its reversal. We prove a series of results concerning birecurrent sets. It is already known that any birecurrent set is…

Formal Languages and Automata Theory · Computer Science 2018-04-06 Francesco Dolce , Dominique Perrin , Antonio Restivo , Christophe Reutenauer , Giuseppina Rindone

Graph Neural Networks (GNNs) have become a topic of intense research recently due to their powerful capability in high-dimensional classification and regression tasks for graph-structured data. However, as GNNs typically define the graph…

Machine Learning · Computer Science 2019-10-31 Ming Li , Zheng Ma , Yu Guang Wang , Xiaosheng Zhuang