English
Related papers

Related papers: Non-commutative Probability Theory for Topological…

200 papers

Topological Data Analysis (TDA) is a novel, and relatively new approach to analysing high-dimensional data sets. It does this by focussing on global properties like the shape and connectivity of the data giving it a significant advantage…

Instrumentation and Methods for Astrophysics · Physics 2019-04-26 Jeff Murugan , Duncan Robertson

In the past decades, topological concepts have emerged to classify matter states beyond the Ginzburg-Landau symmetry breaking paradigm. The underlying global invariants are usually characterized by integers, such as Chern or winding…

Mesoscale and Nanoscale Physics · Physics 2021-07-14 Qinghua Guo , Tianshu Jiang , Ruo-Yang Zhang , Lei Zhang , Zhao-Qing Zhang , Biao Yang , Shuang Zhang , C. T. Chan

We construct a sheaf-theoretic representation of quantum observables algebras over a base category equipped with a Grothendieck topology, consisting of epimorphic families of commutative observables algebras, playing the role of local…

General Relativity and Quantum Cosmology · Physics 2008-11-26 Elias Zafiris

In this paper we classify invariant noncommutative connections in the framework of the algebra of endomorphisms of a complex vector bundle. It has been proven previously that this noncommutative algebra generalizes in a natural way the…

Mathematical Physics · Physics 2009-11-10 Thierry Masson , Emmanuel Serie

In this thesis we study convolutions that arise from noncommutative probability theory. We prove several regularity results for free convolutions, and for measures in partially defined one-parameter free convolution semigroups. We discuss…

Operator Algebras · Mathematics 2007-05-23 Serban Teodor Belinschi

From a geometrical point of view it is, so far, not sufficiently well understood what should be a "noncommutative principal bundle". Still, there is a well-developed abstract algebraic approach using the theory of Hopf algebras. An…

Differential Geometry · Mathematics 2012-04-01 Stefan Wagner

We adopt the viewpoint that topological And\'e-Quillen theory for commutative $S$-algebras should provide usable (co)homology theories for doing calculations in the sense traditional within Algebraic Topology. Our main emphasis is on…

Algebraic Topology · Mathematics 2017-03-30 Andrew Baker

This is the first installment of a series of papers whose aim is to lay a foundation for homotopy probability theory by establishing its basic principles and practices. The notion of a homotopy probability space is an enrichment of the…

Probability · Mathematics 2015-10-29 Jae-Suk Park

Inspired by the intimate relationship between Voiculescu's noncommutative probability theory (of type A) and large-N matrix models in physics, we look for physical models related to noncommutative probability theory of type B. These turn…

High Energy Physics - Theory · Physics 2009-11-10 C. -W. H. Lee

The wrapping transformation $W$ is a homomorphism from the semigroup of probability measures on the real line, with the convolution operation, to the semigroup of probability measures on the circle, with the multiplicative convolution…

Probability · Mathematics 2016-08-05 Michael Anshelevich , Octavio Arizmendi

The theory of cumulants is revisited in the "Rota way", that is, by following a combinatorial Hopf algebra approach. Monotone, free, and boolean cumulants are considered as infinitesimal characters over a particular combinatorial Hopf…

Combinatorics · Mathematics 2018-02-01 Kurusch Ebrahimi-Fard , Frederic Patras

This paper introduces topological data analysis. Starting from notions of a metric space and some elementary graph theory, we take example sets of data and demonstrate some of their topological properties. We discuss simplicial complexes…

History and Overview · Mathematics 2020-04-09 Dayten Sheffar

We continue the investigation of noncommutative cumulants. In this paper various characterizations of noncommutative Gaussian random variables are proved.

Combinatorics · Mathematics 2007-05-23 Franz Lehner

Topological data analysis (TDA), while abstract, allows a characterization of time-series data obtained from nonlinear and complex dynamical systems. Though it is surprising that such an abstract measure of structure - counting pieces and…

Computational Geometry · Computer Science 2020-01-07 Nicole Sanderson , Elliott Shugerman , Samantha Molnar , James D. Meiss , Elizabeth Bradley

Since the 90's, several authors have studied a probability distribution on the set of Boolean functions on $n$ variables induced by some probability distributions on formulas built upon the connectors $And$ and $Or$ and the literals…

Combinatorics · Mathematics 2013-05-06 Antoine Genitrini , Bernhard Gittenberger , Veronika Kraus , Cécile Mailler

This paper studies the homotopy theory of algebras and homotopy algebras over an operad. It provides an exhaustive description of their higher homotopical properties using the more general notion of morphisms called infinity-morphisms. The…

Algebraic Topology · Mathematics 2016-02-09 Bruno Vallette

We introduce a category of noncommutative bundles. To establish geometry in this category we construct suitable noncommutative differential calculi on these bundles and study their basic properties. Furthermore we define the notion of a…

q-alg · Mathematics 2008-02-03 Markus J. Pflaum , Peter Schauenburg

For any type of fundamental groupoid scheme, we construct an algebraic cohomology theory for varieties with coefficients in the base field. This is a minor variant of \'etale cohomology, involving neither de Rham complexes nor…

Algebraic Geometry · Mathematics 2026-02-16 Hyuk Jun Kweon

We study in detail the one-variable local theory of functions holomorphic over a finite-dimensional commutative associative unital $\mathbb{C}$-algebra $\mathcal{A}$, showing that it shares a multitude of features with the classical…

Complex Variables · Mathematics 2019-01-03 Marin Genov

Graphical models in probability and statistics are a core concept in the area of probabilistic reasoning and probabilistic programming-graphical models include Bayesian networks and factor graphs. In this paper we develop a new model of…

Artificial Intelligence · Computer Science 2022-01-20 Albert Benveniste , Jean-Baptiste Raclet