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In this paper we review the definition of the invariants "bar codes" and "Jordan cells" of real and angle valued tame maps as proposed in Burghelea and Dey and Carlsson et al and prove the homotopy invariance of the sum # B^c_r +#B^o_{r-1}$…

Algebraic Topology · Mathematics 2012-09-11 Dan Burghelea , Stefan Haller

(lecture delivered at the Congress of the Romanian mathematicians, Brasov, June 2011) Using graph representations a new class of computable topological invariants associated with a tame real or angle valued map were recently introduced,…

Algebraic Topology · Mathematics 2012-05-22 Dan Burghelea

Although there is no doubt that multi-parameter persistent homology is a useful tool to analyse multi-variate data, efficient ways to compute these modules are still lacking in the available topological data analysis toolboxes. Other issues…

Algebraic Topology · Mathematics 2021-04-15 Asilata Bapat , Robyn Brooks , Celia Hacker , Claudia Landi , Barbara I. Mahler

The theory of multidimensional persistent homology was initially developed in the discrete setting, and involved the study of simplicial complexes filtered through an ordering of the simplices. Later, stability properties of…

Computational Geometry · Computer Science 2013-03-28 Niccolò Cavazza , Marc Ethier , Patrizio Frosini , Tomasz Kaczynski , Claudia Landi

The barcode of a persistence module serves as a complete combinatorial invariant of its isomorphism class. Barcodes are typically extracted by performing changes of basis on a persistence module until the constituent matrices have a special…

Algebraic Topology · Mathematics 2022-07-14 Emile Jacquard , Vidit Nanda , Ulrike Tillmann

In this paper, we consider topological featurizations of data defined over simplicial complexes, like images and labeled graphs, obtained by convolving this data with various filters before computing persistence. Viewing a convolution…

Algebraic Topology · Mathematics 2024-01-26 Elchanan Solomon , Paul Bendich

This article aims to study the topological invariant properties encoded in node graph representational embeddings by utilizing tools available in persistent homology. Specifically, given a node embedding representation algorithm, we…

Machine Learning · Computer Science 2021-10-12 Mustafa Hajij , Ghada Zamzmi , Xuanting Cai

Persistent homology is a fundamental tool in Topological Data Analysis. The associated algebraic structure is the persistence module, a sequence of vector spaces connected by linear maps. Persistence modules admit a complete and…

Algebraic Topology · Mathematics 2026-02-13 R. Gonzalez-Diaz , M. Soriano-Trigueros , A. Torras-Casas

Cohomological ideas have recently been injected into persistent homology and have for example been used for accelerating the calculation of persistence diagrams by the software Ripser. The cup product operation which is available at…

Algebraic Topology · Mathematics 2022-12-20 Marco Contessoto , Facundo Mémoli , Anastasios Stefanou , Ling Zhou

The concept of topological persistence, introduced recently in computational topology, finds applications in studying a map in relation to the topology of its domain. Since its introduction, it has been extended and generalized in various…

Algebraic Topology · Mathematics 2015-03-17 Dan Burghelea , Tamal K. Dey , Du Dong

In this paper, we give lower bounds for the homology of the fibers of a map to a manifold. Using new sheaf theoretic methods, we show that these lower bounds persist over whole open sets of the manifold, and that they are stable under…

Algebraic Topology · Mathematics 2021-07-07 Robert MacPherson , Amit Patel

In this paper we consider the definition of " monodromy of an angle valued map" based on linear relations as proposed in Burghelea-Haller (3). This definition provides an alternative treatment of monodromy and computationally an alternative…

Algebraic Topology · Mathematics 2015-12-29 Dan Burghelea

Topological data analysis uses tools from topology -- the mathematical area that studies shapes -- to create representations of data. In particular, in persistent homology, one studies one-parameter families of spaces associated with data,…

Machine Learning · Computer Science 2020-12-01 Guido Montúfar , Nina Otter , Yuguang Wang

We define persistent homology groups over any set of spaces which have inclusions defined so that the corresponding directed graph between the spaces is acyclic, as well as along any subgraph of this directed graph. This method…

Computational Geometry · Computer Science 2019-06-20 Erin Wolf Chambers , David Letscher

Persistence has proved to be a valuable tool to analyze real world data robustly. Several approaches to persistence have been attempted over time, some topological in flavor, based on the vector space-valued homology functor, other…

Algebraic Topology · Mathematics 2019-05-23 Mattia G. Bergomi , Pietro Vertechi

We consider different notions of equivalence for Morse functions on the sphere in the context of persistent homology, and introduce new invariants to study these equivalence classes. These new invariants are as simple, but more discerning…

A topological invariant of a polynomial map $p:X\to B$ from a complex surface containing a curve $C\subset X$ to a one-dimensional base is given by a rational second homology class in the compactification of the moduli space of genus $g$…

Algebraic Geometry · Mathematics 2007-05-23 Paul Norbury

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,…

Algebraic Topology · Mathematics 2020-04-03 Gunnar Carlsson

We define a class of invariants, which we call homological invariants, for persistence modules over a finite poset. Informally, a homological invariant is one that respects some homological data and takes values in the free abelian group…

Algebraic Topology · Mathematics 2024-08-26 Benjamin Blanchette , Thomas Brüstle , Eric J. Hanson

A fundamental tool in topological data analysis is persistent homology, which allows extraction of information from complex datasets in a robust way. Persistent homology assigns a module over a principal ideal domain to a one-parameter…

Algebraic Topology · Mathematics 2019-06-19 Heather A. Harrington , Nina Otter , Hal Schenck , Ulrike Tillmann
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