Bounds and Asymptotics for Orthogonal Polynomials for Varying Weights Bounds and Asymptotics for Orthogonal Polynomials for Varying Weights
SpringerBriefs in Mathematics

Bounds and Asymptotics for Orthogonal Polynomials for Varying Weights

    • $44.99
    • $44.99

Publisher Description

This book establishes bounds and asymptotics under almost minimal conditions on the varying weights, and applies them to universality limits and entropy integrals.  Orthogonal polynomials associated with varying weights play a key role in analyzing random matrices and other topics. 
This book will be of use to a wide community of mathematicians, physicists, and statisticians dealing with techniques of potential theory, orthogonal polynomials, approximation theory, as well as random matrices. 

GENRE
Science & Nature
RELEASED
2018
February 13
LANGUAGE
EN
English
LENGTH
177
Pages
PUBLISHER
Springer International Publishing
SELLER
Springer Nature B.V.
SIZE
4.2
MB

More Books Like This

Number Theory – Diophantine Problems, Uniform Distribution and Applications Number Theory – Diophantine Problems, Uniform Distribution and Applications
2017
Analytic Number Theory Analytic Number Theory
2015
Computational Analysis Computational Analysis
2016
Studies in Phase Space Analysis with Applications to PDEs Studies in Phase Space Analysis with Applications to PDEs
2013
Number Theory and Related Fields Number Theory and Related Fields
2013
Additive Number Theory Additive Number Theory
2010

More Books by Eli Levin & Doron S. Lubinsky

Santa Fe Bohemia Santa Fe Bohemia
2020
Disturbing Art Lessons Disturbing Art Lessons
2016
Why I Hate Modern Art Why I Hate Modern Art
2016

Other Books in This Series

Twisted Isospectrality, Homological Wideness, and Isometry Twisted Isospectrality, Homological Wideness, and Isometry
2023
Brakke's Mean Curvature Flow Brakke's Mean Curvature Flow
2019
Geodesic Convexity in Graphs Geodesic Convexity in Graphs
2013
Continuous Average Control of Piecewise Deterministic Markov Processes Continuous Average Control of Piecewise Deterministic Markov Processes
2013
Spectra and Normal Forms Spectra and Normal Forms
2024
Deep Learning for Fluid Simulation and Animation Deep Learning for Fluid Simulation and Animation
2023