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In many scientific and technological contexts we have only a poor understanding of the structure and details of appropriate mathematical models. We often, therefore, need to compare different models. With available data we can use formal…

Algebraic Topology · Mathematics 2021-11-04 Sean T. Vittadello , Michael P. H. Stumpf

We decompose each moduli space of semistable sheaves on the complex projective plane with support of dimension one and degree four into locally closed subvarieties, each subvariety being the good or geometric quotient of a set of morphisms…

Algebraic Geometry · Mathematics 2009-10-29 Jean-Marc Drezet , Mario Maican

Determining whether two graphs are isomorphic is a fundamental problem with practical applications in areas such as molecular chemistry or social network analysis, yet it remains a challenging task, with exact solutions often being…

We prove that pointwise finite-dimensional S^1 persistence modules over an arbitrary field decompose uniquely, up to isomorphism, into the direct sum of a bar code and finitely-many Jordan cells. These persistence modules have also been…

Representation Theory · Mathematics 2025-06-19 Eric J. Hanson , Job D. Rock

Persistent homology is a central methodology in topological data analysis that has been successfully implemented in many fields and is becoming increasingly popular and relevant. The output of persistent homology is a persistence diagram --…

Statistics Theory · Mathematics 2024-04-24 Konstantin Häberle , Barbara Bravi , Anthea Monod

Refined forms of the local Langlands correspondence seek to relate representations of reductive groups over local fields with sheaves on stacks of Langlands parameters. But what kind of sheaves? Conjectures in the spirit of Kazhdan-Lusztig…

Representation Theory · Mathematics 2023-02-02 David Ben-Zvi , Harrison Chen , David Helm , David Nadler

Persistent homology is a topological data analysis tool that has been widely generalized, extending its scope beyond the field of topology. Among its extensions, steady and ranging persistence were developed to study a wide variety of graph…

Algebraic Topology · Mathematics 2026-05-15 Yann-Situ Gazull

The field of mathematical morphology offers well-studied techniques for image processing. In this work, we view morphological operations through the lens of persistent homology, a tool at the heart of the field of topological data analysis.…

Computational Geometry · Computer Science 2021-03-25 Yu-Min Chung , Sarah Day , Chuan-Shen Hu

Persistent homology is constrained to purely topological persistence while multiscale graphs account only for geometric information. This work introduces persistent spectral theory to create a unified low-dimensional multiscale paradigm for…

Combinatorics · Mathematics 2019-12-13 Rui Wang , Duc Duy Nguyen , Guo-Wei Wei

In this work, we explore links between natural homology and persistent homology for the classification of directed spaces. The former is an algebraic invariant of directed spaces, a semantic model of concurrent programs. The latter was…

Algebraic Topology · Mathematics 2024-08-07 Cameron Calk , Eric Goubault , Philippe Malbos

We study circle valued maps and consider the persistence of the homology of their fibers. The outcome is a finite collection of computable invariants which answer the basic questions on persistence and in addition encode the topology of the…

Algebraic Topology · Mathematics 2015-03-19 Dan Burghelea , Tamal K. Dey

This paper introduces persistent homology, which is a powerful tool to characterize the shape of data using the mathematical concept of topology. We explain the fundamental idea of persistent homology from scratch using some examples. We…

Algebraic Topology · Mathematics 2022-05-25 Ippei Obayashi , Takenobu Nakamura , Yasuaki Hiraoka

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…

Algebraic Topology · Mathematics 2018-12-27 Oliver Vipond

Convection is a well-studied topic in fluid dynamics, yet it is less understood in the context of networks flows. Here, we incorporate techniques from topological data analysis (namely, persistent homology) to automate the detection and…

Dynamical Systems · Mathematics 2022-03-15 Minh Quang Le , Dane Taylor

We study persistence modules defined on commutative ladders. This class of persistence modules frequently appears in topological data analysis, and the theory and algorithm proposed in this paper can be applied to these practical problems.…

Algebraic Topology · Mathematics 2015-04-21 Emerson G. Escolar , Yasuaki Hiraoka

We study the categorical framework for the computation of persistent homology, without reliance on a particular computational algorithm. The computation of persistent homology is commonly summarized as a matrix theorem, which we call the…

Algebraic Topology · Mathematics 2018-10-02 Killian Meehan , Andrei Pavlichenko , Jan Segert

Multidimensional persistence modules do not admit a concise representation analogous to that provided by persistence diagrams for real-valued functions. However, there is no obstruction for multidimensional persistent Betti numbers to admit…

Dynamical Systems · Mathematics 2013-05-29 Andrea Cerri , Claudia Landi

In this article we propose a novel approach for comparing the persistent homology representations of two spaces (filtrations). Commonly used methods are based on numerical summaries such as persistence diagrams and persistence landscapes,…

Machine Learning · Computer Science 2021-01-05 Yohai Reani , Omer Bobrowski

We establish an equivalence between the stable category of coherent sheaves (satisfying a mild restriction) on a projective space and the homotopy category of a certain class of minimal complexes of free modules over the exterior algebra…

Algebraic Geometry · Mathematics 2010-03-24 Iustin Coanda

We consider the problem of establishing dense correspondences within a set of related shapes of strongly varying geometry. For such input, traditional shape matching approaches often produce unsatisfactory results. We propose an ensemble…

Graphics · Computer Science 2017-10-10 Oliver Burghard , Alexander Berner , Michael Wand , Niloy Mitra , Hans-Peter Seidel , Reinhard Klein
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