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We prove an extension to the simplicial Nerve Lemma which establishes isomorphism of persistent homology groups, in the case where the covering spaces are filtered. While persistent homology is now widely used in topological data analysis,…

Algebraic Topology · Mathematics 2012-02-29 Maia Fraser

We define notions of differentiability for maps from and to the space of persistence barcodes. Inspired by the theory of diffeological spaces, the proposed framework uses lifts to the space of ordered barcodes, from which derivatives can be…

Algebraic Topology · Mathematics 2021-05-05 Jacob Leygonie , Steve Oudot , Ulrike Tillmann

We study "canonical weight decompositions" slightly generalizing that defined by J. Wildeshaus. For an triangulated category $C$, any integer $n$, and a weight structure $w$ on $C$ a triangle $LM\to M\to RM\to LM[1]$, where $LM$ is of…

K-Theory and Homology · Mathematics 2021-07-27 Mikhail V. Bondarko

In real-world systems, the relationships and connections between components are highly complex. Real systems are often described as networks, where nodes represent objects in the system and edges represent relationships or connections…

Algebraic Topology · Mathematics 2024-06-24 Shen Zhang

For any persistence module $M$ over a finite poset $\mathbf{P}$, and any interval $I$ of $\mathbf{P}$, we give a formula for the multiplicity $d_M(V_I)$ of the interval module $V_I$ in the indecomposable decomposition of $M$ in terms of the…

Representation Theory · Mathematics 2026-05-26 Hideto Asashiba , Enhao Liu

Graphs are commonly used to encode relationships among entities, yet their abstractness makes them difficult to analyze. Node-link diagrams are popular for drawing graphs, and force-directed layouts provide a flexible method for node…

Graphics · Computer Science 2020-01-14 Ashley Suh , Mustafa Hajij , Bei Wang , Carlos Scheidegger , Paul Rosen

This article proposes a topological method that extracts hierarchical structures of various amorphous solids. The method is based on the persistence diagram (PD), a mathematical tool for capturing shapes of multiscale data. The input to the…

A commutative residuated lattice A is said to be subidempotent if the lower bounds of its neutral element e are idempotent (in which case they naturally constitute a Brouwerian algebra A*). It is proved here that epimorphisms are surjective…

Logic · Mathematics 2021-04-20 T. Moraschini , J. G. Raftery , J. J. Wannenburg

Persistence modules serve as the algebraic foundation for topological data analysis, typically studied as representations of posets over a field. This article extends the structural and decomposition theory of persistence modules to the…

Algebraic Topology · Mathematics 2026-02-17 Nadiya Upegui Keagy

In this note we recall the relations between the barcodes in level and sub-level persistence and make precise their relation with the Morse-Novikov complex of a Morse real- or angle-valued map. The results in this papers are implicit in my…

Algebraic Topology · Mathematics 2018-06-01 Dan Burghelea

We provide a naturally isomorphic description of the persistence map from merge trees to barcodes in terms of a monotone map from the partition lattice to the subset lattice. Our description is local, which offers the potential to speed up…

Algebraic Topology · Mathematics 2022-03-02 Brendan Mallery , Adélie Garin , Justin Curry

Persistent homology provides information about the lifetime of homology classes along a filtration of cell complexes. Persistence barcode is a graphical representation of such information. A filtration might be determined by time in a set…

Computer Vision and Pattern Recognition · Computer Science 2018-01-04 Rocio Gonzalez-Diaz , Maria-Jose Jimenez , Belen Medrano

Real-valued functions on geometric data -- such as node attributes on a graph -- can be optimized using descriptors from persistent homology, allowing the user to incorporate topological terms in the loss function. When optimizing a single…

Computational Geometry · Computer Science 2024-09-02 Luis Scoccola , Siddharth Setlur , David Loiseaux , Mathieu Carrière , Steve Oudot

In topological data analysis, persistent homology is used to study the "shape of data". Persistent homology computations are completely characterized by a set of intervals called a bar code. It is often said that the long intervals…

Computational Geometry · Computer Science 2025-02-19 Peter Bubenik , Michael Hull , Dhruv Patel , Benjamin Whittle

Biomolecular structure comparison not only reveals evolutionary relationships, but also sheds light on biological functional properties. However, traditional definitions of structure or sequence similarity always involve superposition or…

Quantitative Methods · Quantitative Biology 2017-07-13 Kelin Xia

Persistent homology is a popular method for computing topological features of (metric) data. Standard approaches based on the \v{C}ech or Rips filtration are stable under small perturbations of the data, but highly sensitive to outliers.…

Algebraic Topology · Mathematics 2026-02-27 Pepijn Roos Hoefgeest , Lucas Slot

Many datasets can be viewed as a noisy sampling of an underlying space, and tools from topological data analysis can characterize this structure for the purpose of knowledge discovery. One such tool is persistent homology, which provides a…

It is folklore that tree-width is monotone under taking subgraphs (i.e. injective graph homomorphisms) and contractions (certain kinds of surjective graph homomorphisms). However, although tree-width is obviously not monotone under any…

Combinatorics · Mathematics 2025-06-11 Benjamin Merlin Bumpus , James Fairbanks , Will J. Turner

A tower is a sequence of simplicial complexes connected by simplicial maps. We show how to compute a filtration, a sequence of nested simplicial complexes, with the same persistent barcode as the tower. Our approach is based on the coning…

Algebraic Topology · Mathematics 2017-10-13 Michael Kerber , Hannah Schreiber

Extended persistence is a technique from topological data analysis to obtain global multiscale topological information from a graph. This includes information about connected components and cycles that are captured by the so-called…

Machine Learning · Computer Science 2024-06-06 Simon Zhang , Soham Mukherjee , Tamal K. Dey
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