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Related papers: Random geometric complexes

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There has been considerable recent interest, primarily motivated by problems in applied algebraic topology, in the homology of random simplicial complexes. We consider the scenario in which the vertices of the simplices are the points of a…

Probability · Mathematics 2015-10-28 D. Yogeshwaran , Robert J. Adler

Random shapes arise naturally in many contexts. The topological and geometric structure of such objects is interesting for its own sake, and also for applications. In physics, for example, such objects arise naturally in quantum gravity, in…

Combinatorics · Mathematics 2016-07-26 Matthew Kahle

There have been several recent articles studying homology of various types of random simplicial complexes. Several theorems have concerned thresholds for vanishing of homology, and in some cases expectations of the Betti numbers. However…

Probability · Mathematics 2011-01-19 Matthew Kahle , Elizabeth Meckes

We study topological and geometric functionals of $l_\infty$-random geometric graphs on the high-dimensional torus in a sparse regime, where the expected number of neighbors decays exponentially in the dimension. More precisely, we…

Probability · Mathematics 2025-01-08 Gilles Bonnet , Christian Hirsch , Daniel Rosen , Daniel Willhalm

We study the homology of random \v{C}ech complexes generated by a homogeneous Poisson process. We focus on 'homological connectivity' - the stage where the random complex is dense enough, so that its homology "stabilizes" and becomes…

Probability · Mathematics 2019-06-14 Omer Bobrowski

In a seminal paper, Erdos and Renyi identified the threshold for connectivity of the random graph G(n,p). In particular, they showed that if p >> log(n)/n then G(n,p) is almost always connected, and if p << log(n)/n then G(n,p) is almost…

Combinatorics · Mathematics 2010-09-23 Matthew Kahle

We initiate the study of persistent homology of random geometric simplicial complexes. Our main interest is in maximally persistent cycles of degree-$k$ in persistent homology, for a either the \cech or the Vietoris--Rips filtration built…

Probability · Mathematics 2016-05-17 Omer Bobrowski , Matthew Kahle , Primoz Skraba

We study the persistent homology of random \v{C}ech complexes. Generalizing a method of Penrose for studying random geometric graphs, we first describe an appropriate theoretical framework in which we can state and address our main…

Algebraic Topology · Mathematics 2018-01-26 Ulrich Bauer , Florian Pausinger

We consider a finite simplicial complex $K$ together with its successive barycentric subdivisions $Sd^d(K), d\geq0,$ and study the expected topology of a random subcomplex in $Sd^d(K), d\gg0$. We get asymptotic upper and lower bounds for…

Probability · Mathematics 2017-06-08 Nermin Salepci , Jean-Yves Welschinger

We characterise high-dimensional topology that arises from a random Cech complex constructed on the circle. Expected Euler characteristic curve is computed, where we observe limiting spikes. The spikes correspond to expected Betti numbers…

Probability · Mathematics 2023-09-26 Uzu Lim

We consider the topology of simplicial complexes with vertices the points of a random point process and faces determined by distance relationships between the vertices. In particular, we study the Betti numbers of these complexes as the…

Probability · Mathematics 2015-09-10 D. Yogeshwaran , Eliran Subag , Robert J. Adler

In this paper we study the properties of the homology of different geometric filtered complexes (such as Vietoris-Rips, Cech and witness complexes) built on top of precompact spaces. Using recent developments in the theory of topological…

Algebraic Topology · Mathematics 2013-11-18 Frederic Chazal , Vin de Silva , Steve Oudot

We study homological properties of random quadratic monomial ideals in a polynomial ring $R = {\mathbb K}[x_1, \dots x_n]$, utilizing methods from the Erd\"{o}s-R\'{e}nyi model of random graphs. Here for a graph $G \sim G(n, p)$ we consider…

Commutative Algebra · Mathematics 2023-08-16 Anton Dochtermann , Andrew Newman

In this paper we study the homology of a random Cech complex generated by a homogeneous Poisson process in a compact Riemannian manifold M. In particular, we focus on the phase transition for "homological connectivity" where the homology of…

Probability · Mathematics 2017-04-25 Omer Bobrowski , Goncalo Oliveira

In this paper, we study the expectation values of topological invariants of the Vietoris-Rips complex and \v{C}ech complex for a finite set of sample points on a Riemannian manifold. We show that the Betti number and Euler characteristic of…

Geometric Topology · Mathematics 2022-11-23 Taejin Paik , Otto van Koert

We compute the homology of random \v{C}ech complexes over a homogeneous Poisson process on the d-dimensional torus, and show that there are, coarsely, two phase transitions. The first transition is analogous to the Erd\H{o}s-R\'enyi phase…

Probability · Mathematics 2016-03-24 Omer Bobrowski , Shmuel Weinberger

We investigate some topological properties of random geometric complexes and random geometric graphs on Riemannian manifolds in the thermodynamic limit. In particular, for random geometric complexes we prove that the normalized counting…

Probability · Mathematics 2020-11-30 Antonio Lerario , Raffaella Mulas

The topology and geometry of random fields - in terms of the Euler characteristic and the Minkowski functionals - has received a lot of attention in the context of the Cosmic Microwave Background (CMB), as the detection of primordial…

Cosmology and Nongalactic Astrophysics · Physics 2019-10-02 Job Feldbrugge , Matti van Engelen , Rien van de Weygaert , Pratyush Pranav , Gert Vegter

We study a natural model of random 2-dimensional cubical complex which is a subcomplex of an n-dimensional cube, and where every possible square $2$-face is included independently with probability p. Our main result is to exhibit a sharp…

Combinatorics · Mathematics 2020-09-21 Matthew Kahle , Elliot Paquette , Érika Roldán

Many machine learning algorithms used for dimensional reduction and manifold learning leverage on the computation of the nearest neighbours to each point of a dataset to perform their tasks. These proximity relations define a so-called…

Statistical Mechanics · Physics 2020-07-22 Vittorio Erba , Sebastiano Ariosto , Marco Gherardi , Pietro Rotondo
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