English
Related papers

Related papers: Persistent sheaf cohomology

200 papers

Persistent homology has been recently studied with the tools of sheaf theory in the derived setting by Kashiwara and Schapira, after J. Curry has made the first link between persistent homology and sheaves. We prove the isometry theorem in…

Algebraic Topology · Mathematics 2023-01-25 Nicolas Berkouk , Grégory Ginot

In this paper, we provide two different resolutions of structural sheaves of projectivized tangent bundles of smooth complete intersections. These resolutions allow in particular to obtain convenient (and completely explicit) descriptions…

Algebraic Geometry · Mathematics 2022-11-17 Antoine Etesse

We describe a new methodology for studying persistence of topological features across a family of spaces or point-cloud data sets, called zigzag persistence. Building on classical results about quiver representations, zigzag persistence…

Computational Geometry · Computer Science 2008-12-02 Gunnar Carlsson , Vin de Silva

Persistence modules have a natural home in the setting of stratified spaces and constructible cosheaves. In this article, we first give explicit constructible cosheaves for common data-motivated persistence modules, namely, for modules that…

Algebraic Topology · Mathematics 2024-11-27 Ryan E. Grady , Anna Schenfisch

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…

Algebraic Topology · Mathematics 2018-10-24 Magnus Bakke Botnan , Michael Lesnick

We reinterpret algebraic de Rham cohomology for a possibly singular complex variety X as sheaf cohomology in the site of smooth schemes over X with Voevodsky's h-topology. Our results extend to the algebraic de Rham complex as well. Our…

Algebraic Geometry · Mathematics 2007-10-23 Ben Lee

Persistent homology provides a robust methodology to infer topological structures from point cloud data. Here we explore the persistent homology of point clouds embedded into a probabilistic setting, exploiting the theory of point…

Probability · Mathematics 2023-08-07 Daniel Spitz , Anna Wienhard

We introduce layer systems for proving generalizations of the modularity of confluence for first-order rewrite systems. Layer systems specify how terms can be divided into layers. We establish structural conditions on those systems that…

Logic in Computer Science · Computer Science 2015-02-10 Bertram Felgenhauer , Aart Middeldorp , Harald Zankl , Vincent van Oostrom

We survey old and new results on the existence of moduli spaces of semistable coherent sheaves both in algebraic and in complex geometry.

Algebraic Geometry · Mathematics 2024-07-19 Mihai Pavel , Matei Toma

We introduce a new notion of persistence modules endowed with operators. It encapsulates the additional structure on Floer-type persistence modules coming from the intersection product with classes in the ambient (quantum) homology, along…

Symplectic Geometry · Mathematics 2017-03-07 Leonid Polterovich , Egor Shelukhin , Vukašin Stojisavljević

To a coarse structure we associate a Grothendieck topology which is determined by coarse covers. A coarse map between coarse spaces gives rise to a morphism of Grothendieck topologies. This way we define sheaves and sheaf cohomology on…

Algebraic Geometry · Mathematics 2022-03-24 Elisa Hartmann

We study sheaves of differential forms and their cohomology in the h-topology. This allows to extend standard results from the case of smooth varieties to the general case. As a first application we explain the case of singularities arising…

Algebraic Geometry · Mathematics 2014-05-15 Annette Huber , Clemens Jörder

It is well-known that the cohomology of symmetric quandles generates robust cocycle invariants for unoriented classical and surface links. Expanding on the recently introduced module-theoretic generalized cohomology for symmetric quandles,…

Quantum Algebra · Mathematics 2025-10-17 Biswadeep Karmakar , Deepanshi Saraf , Mahender Singh

Predictive coding (PC) replaces global backpropagation with local optimization over weights and activations. We show that linear PC networks admit a natural formulation as cellular sheaves: the sheaf coboundary maps activations to edge-wise…

Machine Learning · Computer Science 2025-11-17 Jeffrey Seely

We give a self-contained treatment of the theory of persistence modules indexed over the real line. We give new proofs of the standard results. Persistence diagrams are constructed using measure theory. Linear algebra lemmas are simplified…

Algebraic Topology · Mathematics 2013-03-21 Frederic Chazal , Vin de Silva , Marc Glisse , Steve Oudot

A crucial step in the analysis of persistent homology is the transformation of data into an appropriate topological object (in our case, a simplicial complex). Modern packages for persistent homology often construct Vietoris--Rips or other…

Computational Geometry · Computer Science 2019-09-18 Michelle Feng , Mason A. Porter

The paper begins by overviewing the basic facts on geometric exceptional collections. Then, we derive, for any coherent sheaf $\cF$ on a smooth projective variety with a geometric collection, two spectral sequences: the first one abuts to…

Algebraic Geometry · Mathematics 2019-05-01 L. Costa , R. M. Miró-Roig

Mathematical morphology (MM) is a powerful and widely used framework in image processing. Through set-theoretic and discrete geometric principles, MM operations such as erosion, dilation, opening, and closing effectively manipulate digital…

Software Engineering · Computer Science 2026-02-18 Chuan-Shen Hu

We study sheaves on holomorphic spaces of loops and apply this to the study of the complex, defined in \cite{BdSHK}, governing deformations of the \emph{Poisson vertex algebra} structure on the space of holomorphic loops into a Poisson…

Algebraic Geometry · Mathematics 2020-08-20 Emile Bouaziz

In topological data analysis, we want to discern topological and geometric structure of data, and to understand whether or not certain features of data are significant as opposed to simply random noise. While progress has been made on…

Computational Geometry · Computer Science 2020-01-10 So Mang Han , Taylor Okonek , Nikesh Yadav , Xiaojun Zheng
‹ Prev 1 4 5 6 7 8 10 Next ›