Probabilistic Methods in Geometry, Topology and Spectral Theory

Probabilistic Methods in Geometry, Topology and Spectral Theory
Author :
Publisher : American Mathematical Soc.
Total Pages : 208
Release :
ISBN-10 : 9781470441456
ISBN-13 : 1470441454
Rating : 4/5 (454 Downloads)

Book Synopsis Probabilistic Methods in Geometry, Topology and Spectral Theory by : Yaiza Canzani

Download or read book Probabilistic Methods in Geometry, Topology and Spectral Theory written by Yaiza Canzani and published by American Mathematical Soc.. This book was released on 2019-11-20 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the CRM Workshops on Probabilistic Methods in Spectral Geometry and PDE, held from August 22–26, 2016 and Probabilistic Methods in Topology, held from November 14–18, 2016 at the Centre de Recherches Mathématiques, Université de Montréal, Montréal, Quebec, Canada. Probabilistic methods have played an increasingly important role in many areas of mathematics, from the study of random groups and random simplicial complexes in topology, to the theory of random Schrödinger operators in mathematical physics. The workshop on Probabilistic Methods in Spectral Geometry and PDE brought together some of the leading researchers in quantum chaos, semi-classical theory, ergodic theory and dynamical systems, partial differential equations, probability, random matrix theory, mathematical physics, conformal field theory, and random graph theory. Its emphasis was on the use of ideas and methods from probability in different areas, such as quantum chaos (study of spectra and eigenstates of chaotic systems at high energy); geometry of random metrics and related problems in quantum gravity; solutions of partial differential equations with random initial conditions. The workshop Probabilistic Methods in Topology brought together researchers working on random simplicial complexes and geometry of spaces of triangulations (with connections to manifold learning); topological statistics, and geometric probability; theory of random groups and their properties; random knots; and other problems. This volume covers recent developments in several active research areas at the interface of Probability, Semiclassical Analysis, Mathematical Physics, Theory of Automorphic Forms and Graph Theory.


Probabilistic Methods in Geometry, Topology and Spectral Theory Related Books

Probabilistic Methods in Geometry, Topology and Spectral Theory
Language: en
Pages: 208
Authors: Yaiza Canzani
Categories: Education
Type: BOOK - Published: 2019-11-20 - Publisher: American Mathematical Soc.

GET EBOOK

This volume contains the proceedings of the CRM Workshops on Probabilistic Methods in Spectral Geometry and PDE, held from August 22–26, 2016 and Probabilisti
The Probabilistic Method
Language: en
Pages: 396
Authors: Noga Alon
Categories: Mathematics
Type: BOOK - Published: 2015-11-02 - Publisher: John Wiley & Sons

GET EBOOK

Praise for the Third Edition “Researchers of any kind of extremal combinatorics or theoretical computer science will welcome the new edition of this book.”
Probabilistic Approach to Geometry
Language: en
Pages: 514
Authors: Motoko Kotani
Categories: Mathematics
Type: BOOK - Published: 2010-03 - Publisher: Advanced Studies in Pure Mathe

GET EBOOK

The first Seasonal Institute of the Mathematical Society of Japan (MSJ-SI) “Probabilistic Approach to Geometry” was held at Kyoto University, Japan, on 28th
High-Dimensional Probability
Language: en
Pages: 299
Authors: Roman Vershynin
Categories: Business & Economics
Type: BOOK - Published: 2018-09-27 - Publisher: Cambridge University Press

GET EBOOK

An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.
Ten Lectures on the Probabilistic Method
Language: en
Pages: 98
Authors: Joel Spencer
Categories: Mathematics
Type: BOOK - Published: 1994-01-01 - Publisher: SIAM

GET EBOOK

This update of the 1987 title of the same name is an examination of what is currently known about the probabilistic method, written by one of its principal deve