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Projective Norms are a class of tensor norms that map on the input and output spaces. These norms are useful for providing a measure of entanglement. Calculating the projective norms is an NP-hard problem, which creates challenges in…

Quantum Physics · Physics 2026-01-05 Aaditya Rudra , Maria Anastasia Jivulescu

We compute the integral cohomology ring of configuration spaces of two points on a given real projective space. Apart from an integral class, the resulting ring is a quotient of the known integral cohomology of the dihedral group of order 8…

Algebraic Topology · Mathematics 2011-06-24 Carlos Dominguez , Jesus Gonzalez , Peter Landweber

Persistent homology is a popular and powerful tool for capturing topological features of data. Advances in algorithms for computing persistent homology have reduced the computation time drastically -- as long as the algorithm does not…

Computational Geometry · Computer Science 2013-10-03 Ulrich Bauer , Michael Kerber , Jan Reininghaus

In this paper we describe a singly exponential algorithm for computing the first Betti number of a given semi-algebraic set. Singly exponential algorithms for computing the zero-th Betti number, and the Euler-Poincar\'e characteristic, were…

Algebraic Geometry · Mathematics 2007-05-23 Saugata Basu , Richard Pollack , Marie-Francoise Roy

The central problem in computational algebraic topology is the computation of the homotopy groups of a given space, represented as a simplicial set. Algorithms have been found which achieve this, but the running times depend on the size of…

Algebraic Topology · Mathematics 2021-12-24 Preston Cranford , Peter Rowley

In this paper we introduce a statistic, the persistent homology transform (PHT), to model surfaces in $\mathbb{R}^3$ and shapes in $\mathbb{R}^2$. This statistic is a collection of persistence diagrams - multiscale topological summaries…

Statistics Theory · Mathematics 2014-07-16 Katharine Turner , Sayan Mukherjee , Doug M Boyer

Computational topology provides a tool, persistent homology, to extract quantitative descriptors from structured objects (images, graphs, point clouds, etc). These descriptors can then be involved in optimization problems, typically as a…

Computational Geometry · Computer Science 2026-03-27 Mathieu Carriere , Yuichi Ike , Théo Lacombe , Naoki Nishikawa

Lower bounds of betti numbers for homology groups of racks and quandles will be given using the quotient homomorphism to the orbit quandles. Exact sequences relating various types of homology groups are analyzed. Geometric methods of…

Geometric Topology · Mathematics 2007-05-23 J. Scott Carter , Daniel Jelsovsky , Seiichi Kamada , Masahico Saito

We study certain random simplicial complexes, called random quota complexes. A quota complex on $N+1$ weighted vertices is constructed by adding an $n$-simplex if the sum of the weights of the vertices is below a given quota, $q$. In this…

Combinatorics · Mathematics 2020-06-24 Erin R. Crossen Brown

We describe, for the first time, a completely rigorous homotopy (path--following) algorithm (in the Turing machine model) to find approximate zeros of systems of polynomial equations. If the coordinates of the input systems and the initial…

Algebraic Geometry · Mathematics 2012-10-31 Carlos Beltrán , Anton Leykin

We asymptotically estimate from above the expected Betti numbers of random real hypersurfaces in smooth real projective manifolds. Our upper bounds grow as the square root of the degree of the hypersurfaces as the latter grows to infinity,…

Algebraic Geometry · Mathematics 2012-07-09 Damien Gayet , Jean-Yves Welschinger

Let X be a complex smooth quasi-projective variety with a fixed epimorphism $\nu\colon\pi_1(X)\twoheadrightarrow \mathbb{Z}$. In this paper, we consider the asymptotic behaviour of invariants such as Betti numbers with all possible field…

Algebraic Geometry · Mathematics 2025-05-09 Fenglin Li , Yongqiang Liu

Topological data analysis can extract effective information from higher-dimensional data. Its mathematical basis is persistent homology. The persistent homology can calculate topological features at different spatiotemporal scales of the…

Algebraic Topology · Mathematics 2023-09-29 Dinghua Shi , Zhifeng Chen , Chuang Ma , Guanrong Chen

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

An important problem in computational topology is to calculate the homology of a space from samples. In this work, we develop a statistical approach to this problem by calculating the expected rank of an induced map on homology from a…

Computation · Statistics 2023-08-04 Tianyi Sun , Bradley Nelson

Topological data analysis (TDA) is a fast-growing field that utilizes advanced tools from topology to analyze large-scale data. A central problem in topological data analysis is estimating the so-called Betti numbers of the underlying…

Quantum Physics · Physics 2024-04-23 Nhat A. Nghiem

A projective measurement of energy (PME) on a quantum system is a quantum measurement, determined by the Hamiltonian of the system. PME protocols exist when the Hamiltonian is given in advance. Unknown Hamiltonians can be identified by…

Quantum Physics · Physics 2015-05-20 Shojun Nakayama , Akihito Soeda , Mio Murao

We describe a new algorithm for computing Whitney stratifications of complex projective varieties. The main ingredients are (a) an algebraic criterion, due to L\^e and Teissier, which reformulates Whitney regularity in terms of conormal…

Algebraic Geometry · Mathematics 2022-12-29 Martin Helmer , Vidit Nanda

Cohomology operations (including the cohomology ring) of a geometric object are finer algebraic invariants than the homology of it. In the literature, there exist various algorithms for computing the homology groups of simplicial complexes…

Algebraic Topology · Mathematics 2012-06-21 Rocio Gonzalez-Diaz , Pedro Real

In recent years, cosmic shear has emerged as a powerful tool to study the statistical distribution of matter in our Universe. Apart from the standard two-point correlation functions, several alternative methods like peak count statistics…

Cosmology and Nongalactic Astrophysics · Physics 2021-04-21 Sven Heydenreich , Benjamin Brück , Joachim Harnois-Déraps