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Related papers: Persistent Homology and Euler Integral Transforms

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The Euler's equations describe the motion of inviscid fluid. In the case of shallow water, when a perturbative asymtotic expansion of the Euler's equations is taken (to a certain order of smallness of the scale parameters), relations to…

Exactly Solvable and Integrable Systems · Physics 2007-09-02 Rossen I. Ivanov

A method, recently advanced as the conformable Euler method, a general method for the finite difference discretization of fractional initial value problems for fractions in (0, 1], is shown to be valid only for the integer derivative. The…

General Mathematics · Mathematics 2021-09-24 D. P. Clemence-Mkhope

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

For any connected component $H_0$ of the space of real meromorphic functions we build a compactification $N(H_0)$ of the space $H_0$. Then we express the Euler characteristics of the spaces $H_0$ and $N(H_0)$ in terms of topological…

Complex Variables · Mathematics 2017-08-22 S. V. Shadrin

In this paper, we introduce the polynomial continued fraction, a close relative of the well-known simple continued fraction expansions which are widely used in number theory and in general. While they may not possess all the intriguing…

Dynamical Systems · Mathematics 2023-12-04 Ofir David

Datasets are mathematical objects (e.g., point clouds, matrices, graphs, images, fields/functions) that have shape. This shape encodes important knowledge about the system under study. Topology is an area of mathematics that provides…

Algebraic Topology · Mathematics 2021-09-09 Alexander Smith , Victor Zavala

In this paper we investigate the properties of the Euler functions. By using the Fourier transform for the Euler function, we derive the interesting formula related to the infinite series. Finally we give some interesting identities between…

Number Theory · Mathematics 2008-08-14 Taekyun Kim

We define a "circle Euler characteristic" of a circle action on a compact manifold or finite complex X. It lies in the first Hochschild homology group of ZG where G is the fundamental group of X. It is analogous in many ways to the ordinary…

K-Theory and Homology · Mathematics 2007-05-23 Ross Geoghegan , Andrew Nicas

We study integrable Euler equations on the Lie algebra $\mathfrak{gl}(3,\mathbb{R})$ by interpreting them as evolutions on the space of hexagons inscribed in a real cubic curve.

Exactly Solvable and Integrable Systems · Physics 2016-08-23 Konstantin Aleshkin , Anton Izosimov

The aim of this paper is twofold. One is to give a definition of the Euler characteristic of infinite acyclic categories with filtrations and the other is to prove the invariance of the Euler characteristic under the subdivision of finite…

Category Theory · Mathematics 2011-04-19 Kazunori Noguchi

It is well known that the Euler characteristic of an odd dimensional compact manifold is zero. An Euler complex is a combinatorial analogue of a compact manifold. We present here an elementary proof of the corresponding result for Euler…

Geometric Topology · Mathematics 2013-02-25 Colin MacLaurin , Guyan Robertson

A notion of curvature is introduced in multivariable operator theory and an analogue of the Gauss-Bonnet-Chern theorem is established for graded (contractive) Hilbert modules over the complex polynomial algebra in d variables, d=1,2,3,....…

Operator Algebras · Mathematics 2007-05-23 William Arveson

Persistent homology, a technique from computational topology, has recently shown strong empirical performance in the context of graph classification. Being able to capture long range graph properties via higher-order topological features,…

Machine Learning · Computer Science 2024-12-20 Rubén Ballester , Bastian Rieck

Persistent homology (PH) -- the conventional method in topological data analysis -- is computationally expensive, requires further vectorization of its signatures before machine learning (ML) can be applied, and captures information along…

Machine Learning · Computer Science 2026-03-17 Salam Rabindrajit Luwang , Sushovan Majhi , Vishal Mandal , Atish J. Mitra , Md. Nurujjaman , Buddha Nath Sharma

It is shown that if a real value PL-invariant of closed combinatorial manifolds admits a local formula that depends only on the f-vector of the link of each vertex, then the invariant must be a constant times the Euler characteristic.

Geometric Topology · Mathematics 2016-03-23 Li Yu

We consider the problem of computing the Euler characteristic of an abstract simplicial complex given by its vertices and facets. We show that this problem is #P-complete and present two new practical algorithms for computing Euler…

Computational Geometry · Computer Science 2011-12-21 Bjarke Hammersholt Roune , Eduardo Sáenz de Cabezón

The Euler-Poincare characteristic, or Euler characteristic in short, is a fundamental topological invariant of compact manifolds that plays a crucial role in a variety of geometric and topological situations. From this point of view, we…

Differential Geometry · Mathematics 2025-07-01 Mehdi Ghorbani , Fatemeh Alikhani , Saad Varsaie

The weighted Euler characteristic transform (WECT) and Euler characteristic function (ECF) have proven to be useful tools in a variety of applications. However, current methods for computing these functions are either not optimized for GPU…

Computational Geometry · Computer Science 2026-04-06 Jessi Cisewski-Kehe , Brittany Terese Fasy , Alexander McCleary , Eli Quist

Given a finite simplicial complex L and a collection of pairs of spaces indexed by its vertex set, one can define their polyhedral product. We record a simple formula for its Euler characteristic. In special cases the formula simplifies…

Geometric Topology · Mathematics 2014-07-24 Michael W. Davis

The shape of a molecule determines its physicochemical and biological properties. However, it is often underrepresented in standard molecular representation learning approaches. Here, we propose using the Euler Characteristic Transform…

Machine Learning · Computer Science 2025-07-08 Victor Toscano-Duran , Florian Rottach , Bastian Rieck