The extended persistence diagram is an invariant of piecewise linear functions, introduced by Cohen-Steiner, Edelsbrunner, and Harer. The bottleneck distance has been introduced by the same authors as an extended pseudometric on the set of extended persistence diagrams, which is stable under perturbations of the function. We address the question whether the bottleneck distance is the largest possible stable distance, providing an affirmative answer.Comment: 20 pages + 12 pages appendix, 18 figures, LaTeX; removal of appendix on "stable functors on M" which has moved to arXiv:2108.09298, added and improved figures, added a note of caution regarding variants of the bottleneck distance, rewrote the proof of lemma 4.6 (formerly lemma 4.4)...
Computation of the interleaving distance between persistence modules is a central task in topologica...
Data has shape and that shape is important. This is the anthem of Topological Data Analysis (TDA) as...
The stability of persistent homology is rightly considered to be one of its most important propertie...
We prove that persistence diagrams with the p-Wasserstein distance form the universal p-subadditive ...
We introduce the persistent homotopy type distance d_HT to compare two real valued functions defined...
We build a functorial pipeline for persistent homology. The input to this pipeline is a filtered sim...
In topological data analysis (TDA), persistence diagrams have been a succesful tool. To compare them...
We introduce a refinement of the persistence diagram, the graded persistence diagram. It is the Mobi...
In this talk I will build on the generalized notion of a persistence diagram introduced by A. Patel ...
The natural pseudo-distance of spaces endowed with filtering functions is precious for shape classif...
Persistence diagrams are important descriptors in Topological Data Analysis. Due to the nonlinearity...
Una de las herramientas fundamentales del Análisis Topológico de Datos es el diagrama de persistenci...
The interleaving distance is arguably the most prominent distance measure in topological data analys...
International audienceTopological persistence has proven to be a key concept for the study of real-v...
We define a class of multiparameter persistence modules that arise from a one-parameter family of fu...
Computation of the interleaving distance between persistence modules is a central task in topologica...
Data has shape and that shape is important. This is the anthem of Topological Data Analysis (TDA) as...
The stability of persistent homology is rightly considered to be one of its most important propertie...
We prove that persistence diagrams with the p-Wasserstein distance form the universal p-subadditive ...
We introduce the persistent homotopy type distance d_HT to compare two real valued functions defined...
We build a functorial pipeline for persistent homology. The input to this pipeline is a filtered sim...
In topological data analysis (TDA), persistence diagrams have been a succesful tool. To compare them...
We introduce a refinement of the persistence diagram, the graded persistence diagram. It is the Mobi...
In this talk I will build on the generalized notion of a persistence diagram introduced by A. Patel ...
The natural pseudo-distance of spaces endowed with filtering functions is precious for shape classif...
Persistence diagrams are important descriptors in Topological Data Analysis. Due to the nonlinearity...
Una de las herramientas fundamentales del Análisis Topológico de Datos es el diagrama de persistenci...
The interleaving distance is arguably the most prominent distance measure in topological data analys...
International audienceTopological persistence has proven to be a key concept for the study of real-v...
We define a class of multiparameter persistence modules that arise from a one-parameter family of fu...
Computation of the interleaving distance between persistence modules is a central task in topologica...
Data has shape and that shape is important. This is the anthem of Topological Data Analysis (TDA) as...
The stability of persistent homology is rightly considered to be one of its most important propertie...