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We propose a functorial framework for persistent homology based on finite topological spaces and their associated posets. Starting from a finite metric space, we associate a filtration of finite topologies whose structure maps are…

代数拓扑 · 数学 2026-02-24 Selçuk Kayacan

Motivated by constructions in topological data analysis and algebraic combinatorics, we study homotopy theory on the category of Cech closure spaces $\mathbf{Cl}$, the category whose objects are sets endowed with a Cech closure operator and…

代数拓扑 · 数学 2022-09-28 Antonio Rieser

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…

代数拓扑 · 数学 2025-12-10 Yaoying Fu , Evgeniya Lagoda , Shiying Li , Tom Needham , Lander Ver Hoef , Morgan Weiler

In this paper we study the properties of the homology of different geometric filtered complexes (such as Vietoris-Rips, Cech and witness complexes) built on top of precompact spaces. Using recent developments in the theory of topological…

代数拓扑 · 数学 2013-11-18 Frederic Chazal , Vin de Silva , Steve Oudot

We extend classical tools from rational homotopy theory to topological data analysis by introducing persistent Sullivan minimal models of persistent topological spaces. Our main result establishes that the interleaving distance between such…

代数拓扑 · 数学 2025-04-08 Ling Zhou

This paper is a survey of persistent homology, primarily as it is used in topological data analysis. It includes the theory of persistence modules, as well as stability theorems for persistence barcodes, generalized persistence,…

代数拓扑 · 数学 2020-04-03 Gunnar Carlsson

We develop some aspects of the homological algebra of persistence modules, in both the one-parameter and multi-parameter settings, considered as either sheaves or graded modules. The two theories are different. We consider the graded module…

代数拓扑 · 数学 2022-05-09 Peter Bubenik , Nikola Milicevic

One of the central notions to emerge from the study of persistent homology is that of interleaving distance. It has found recent applications in symplectic and contact geometry, sheaf theory, computational geometry, and phylogenetics. Here…

范畴论 · 数学 2018-04-27 Peter Bubenik , Vin de Silva , Jonathan Scott

We generalize some of the fundamental results of algebraic topology from topological spaces to \v{C}ech's closure spaces, also known as pretopological spaces. Using simplicial sets and cubical sets with connections, we define three distinct…

代数拓扑 · 数学 2021-12-28 Peter Bubenik , Nikola Milićević

We study notions of persistent homotopy groups of compact metric spaces together with their stability properties in the Gromov-Hausdorff sense. We pay particular attention to the case of fundamental groups, for which we obtain a more…

代数拓扑 · 数学 2022-09-13 Facundo Mémoli , Ling Zhou

Topological complexity is a homotopy invariant that measures the minimal number of continuous rules required for motion planning in a space. In this work, we introduce persistent analogs of topological complexity and its cohomological lower…

代数拓扑 · 数学 2025-08-19 Facundo Mémoli , Ling Zhou

The \v{C}ech complex is one of the most widely used tools in applied algebraic topology. Unfortunately, due to the inclusive nature of the \v{C}ech filtration, the number of simplices grows exponentially in the number of input points. A…

代数拓扑 · 数学 2015-01-12 Magnus Bakke Botnan , Gard Spreemann

We study the persistent homology of both functional data on compact topological spaces and structural data presented as compact metric measure spaces. One of our goals is to define persistent homology so as to capture primarily properties…

代数拓扑 · 数学 2018-11-27 Haibin Hang , Facundo Mémoli , Washington Mio

Persistent homology is a popular and useful tool for analysing finite metric spaces, revealing features that can be used to distinguish sets of unlabeled points and as input into machine learning pipelines. The famous stability theorem of…

计算几何 · 计算机科学 2024-05-10 Philip Smith , Vitaliy Kurlin

We develop a unifying framework for the treatment of various persistent homology architectures using the notion of correspondence modules. In this formulation, morphisms between vector spaces are given by partial linear relations, as…

代数拓扑 · 数学 2021-06-01 Haibin Hang , Washington Mio

Magnitude homology is an emerging framework that captures the intrinsic topological and geometric features of metric spaces, demonstrating significant potential for topoplogical data analysis and geometric data analysis. This work…

代数拓扑 · 数学 2026-01-08 Wanying Bi , Hongsong Feng , Jingyan Li , Jie Wu

We define and study several new interleaving distances for persistent cohomology which take into account the algebraic structures of the cohomology of a space, for instance the cup product or the action of the Steenrod algebra. In…

代数拓扑 · 数学 2021-04-05 Grégory Ginot , Johan Leray

We introduce several geometric notions, including the width of a homology class, to the theory of persistent homology. These ideas provide geometric interpretations of persistence diagrams. Indeed, we give quantitative and geometric…

代数拓扑 · 数学 2022-12-27 Henry Adams , Baris Coskunuzer

Persistent homology was shown by Carlsson and Zomorodian to be homology of graded chain complexes with coefficients in the graded ring $\kk[t]$. As such, the behavior of persistence modules -- graded modules over $\kk[t]$ is an important…

计算几何 · 计算机科学 2013-02-18 Primoz Skraba , Mikael Vejdemo-Johansson

In persistent homology analysis, interval modules play a central role in describing the birth and death of topological features across a filtration. In this work, we extend this setting, and propose the use of bipath persistent homology,…

代数拓扑 · 数学 2024-04-04 Toshitaka Aoki , Emerson G. Escolar , Shunsuke Tada
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