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In this work, we propose a new invariant for $2$D persistence modules called the compressed multiplicity and show that it generalizes the notions of the dimension vector and the rank invariant. In addition, for a $2$D persistence module…

表示论 · 数学 2023-08-17 Hideto Asashiba , Emerson G. Escolar , Ken Nakashima , Michio Yoshiwaki

Characterizing the dynamics of time-evolving data within the framework of topological data analysis (TDA) has been attracting increasingly more attention. Popular instances of time-evolving data include flocking/swarming behaviors in…

代数拓扑 · 数学 2021-08-04 Woojin Kim , Facundo Memoli

In the persistent homology of filtrations, the indecomposable decompositions provide the persistence diagrams. However, in almost all cases of multidimensional persistence, the classification of all indecomposable modules is known to be a…

The extended persistence diagram is an invariant of piecewise linear functions, which is known to be stable under perturbations of functions with respect to the bottleneck distance as introduced by Cohen-Steiner, Edelsbrunner, and Harer. We…

代数拓扑 · 数学 2024-07-08 Ulrich Bauer , Magnus Bakke Botnan , Benedikt Fluhr

Relying on sheaf theory, we introduce the notions of projected barcodes and projected distances for multi-parameter persistence modules. Projected barcodes are defined as derived pushforward of persistence modules onto $\mathbb{R}$.…

代数拓扑 · 数学 2024-04-19 Nicolas Berkouk , Francois Petit

An important problem in the field of Topological Data Analysis is defining topological summaries which can be combined with traditional data analytic tools. In recent work Bubenik introduced the persistence landscape, a stable…

代数拓扑 · 数学 2018-12-27 Oliver Vipond

This article grew out of the theoretical part of my Master's thesis at the Faculty of Mathematics and Information Science at Ruprecht-Karls-Universit\"at Heidelberg under the supervision of PD Dr. Andreas Ott. Following the work of G.…

代数拓扑 · 数学 2022-07-08 Maximilian Neumann

A recent result on size functions is extended to higher homology modules: the persistent homology based on a multidimensional measuring function is reduced to a 1-dimensional one. This leads to a stable distance for multidimensional…

代数拓扑 · 数学 2008-07-28 F. Cagliari , B. Di Fabio , M. Ferri

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 investigate the stability of persistence diagrams \( D \) under non-uniform scaling transformations \( S \) in \( \mathbb{R}^n \). Given a finite metric space \( X \subset \mathbb{R}^n \) with Euclidean distance \( d_X \), and scaling…

代数拓扑 · 数学 2024-11-26 Vu-Anh Le , Mehmet Dik

While decomposition of one-parameter persistence modules behaves nicely, as demonstrated by the algebraic stability theorem, decomposition of multiparameter modules is known to be unstable in a certain precise sense. Until now, it has not…

表示论 · 数学 2025-03-12 Håvard Bakke Bjerkevik

We redevelop persistent homology (topological persistence) from a categorical point of view. The main objects of study are diagrams, indexed by the poset of real numbers, in some target category. The set of such diagrams has an interleaving…

代数拓扑 · 数学 2014-05-13 Peter Bubenik , Jonathan A. Scott

Multiparameter persistence is a natural extension of the well-known persistent homology, which has attracted a lot of interest. However, there are major theoretical obstacles preventing the full development of this promising theory. In this…

代数拓扑 · 数学 2020-08-27 Jacek Brodzki , Matthew Burfitt , Mariam Pirashvili

Multidimensional scaling (MDS) is the act of embedding proximity information about a set of $n$ objects in $d$-dimensional Euclidean space. As originally conceived by the psychometric community, MDS was concerned with embedding a fixed set…

机器学习 · 统计学 2024-12-12 Michael W. Trosset , Carey E. Priebe

We study the multi-dimensional persistence of Carlsson and Zomorodian and obtain a finer classification based upon the higher tor-modules of a persistence module. We propose a variety structure on the set of isomorphism classes of these…

代数拓扑 · 数学 2007-06-19 Kevin P. Knudson

The stability theorem for persistent homology is a central result in topological data analysis. While the original formulation of the result concerns the persistence barcodes of $\mathbb{R}$-valued functions, the result was later cast in a…

代数拓扑 · 数学 2018-10-24 Magnus Bakke Botnan , Michael Lesnick

The sheaf-function correspondence identifies the group of constructible functions on a real analytic manifold $M$ with the Grothendieck group of constructible sheaves on $M$. When $M$ is a finite dimensional real vector space,…

代数拓扑 · 数学 2022-12-26 Nicolas Berkouk

We define a simple, explicit map sending a morphism $f:M \rightarrow N$ of pointwise finite dimensional persistence modules to a matching between the barcodes of $M$ and $N$. Our main result is that, in a precise sense, the quality of this…

代数拓扑 · 数学 2016-10-25 Ulrich Bauer , Michael Lesnick

Data consisting of a graph with a function mapping into $\mathbb{R}^d$ arise in many data applications, encompassing structures such as Reeb graphs, geometric graphs, and knot embeddings. As such, the ability to compare and cluster such…

计算几何 · 计算机科学 2025-07-17 Erin W. Chambers , Elizabeth Munch , Sarah Percival , Bei Wang

In this paper, we study pointwise finite-dimensional (p.f.d.) $2$-parameter persistence modules where each module admits a finite convex isotopy subdivision. We show that a p.f.d. $2$-parameter persistence module $M$ (with a finite convex…

代数拓扑 · 数学 2025-04-01 Wenwen Li , Murad Ozaydin