Superconcentration and Related Topics

Superconcentration and Related Topics
Author :
Publisher : Springer Science & Business Media
Total Pages : 156
Release :
ISBN-10 : 9783319038865
ISBN-13 : 3319038869
Rating : 4/5 (869 Downloads)

Book Synopsis Superconcentration and Related Topics by : Sourav Chatterjee

Download or read book Superconcentration and Related Topics written by Sourav Chatterjee and published by Springer Science & Business Media. This book was released on 2014-01-09 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: A certain curious feature of random objects, introduced by the author as “super concentration,” and two related topics, “chaos” and “multiple valleys,” are highlighted in this book. Although super concentration has established itself as a recognized feature in a number of areas of probability theory in the last twenty years (under a variety of names), the author was the first to discover and explore its connections with chaos and multiple valleys. He achieves a substantial degree of simplification and clarity in the presentation of these findings by using the spectral approach. Understanding the fluctuations of random objects is one of the major goals of probability theory and a whole subfield of probability and analysis, called concentration of measure, is devoted to understanding these fluctuations. This subfield offers a range of tools for computing upper bounds on the orders of fluctuations of very complicated random variables. Usually, concentration of measure is useful when more direct problem-specific approaches fail; as a result, it has massively gained acceptance over the last forty years. And yet, there is a large class of problems in which classical concentration of measure produces suboptimal bounds on the order of fluctuations. Here lies the substantial contribution of this book, which developed from a set of six lectures the author first held at the Cornell Probability Summer School in July 2012. The book is interspersed with a sizable number of open problems for professional mathematicians as well as exercises for graduate students working in the fields of probability theory and mathematical physics. The material is accessible to anyone who has attended a graduate course in probability.


Superconcentration and Related Topics Related Books

Superconcentration and Related Topics
Language: en
Pages: 156
Authors: Sourav Chatterjee
Categories: Mathematics
Type: BOOK - Published: 2014-01-09 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

A certain curious feature of random objects, introduced by the author as “super concentration,” and two related topics, “chaos” and “multiple valleys,
Concentration of Maxima and Fundamental Limits in High-Dimensional Testing and Inference
Language: en
Pages: 147
Authors: Zheng Gao
Categories: Mathematics
Type: BOOK - Published: 2021-09-07 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book provides a unified exposition of some fundamental theoretical problems in high-dimensional statistics. It specifically considers the canonical problem
High Dimensional Probability VIII
Language: en
Pages: 457
Authors: Nathael Gozlan
Categories: Mathematics
Type: BOOK - Published: 2019-11-26 - Publisher: Springer Nature

DOWNLOAD EBOOK

This volume collects selected papers from the 8th High Dimensional Probability meeting held at Casa Matemática Oaxaca (CMO), Mexico. High Dimensional Probabili
Noise Sensitivity of Boolean Functions and Percolation
Language: en
Pages: 223
Authors: Christophe Garban
Categories: Computers
Type: BOOK - Published: 2015 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This is the first book to cover the theory of noise sensitivity of Boolean functions with particular emphasis on critical percolation.
Upper and Lower Bounds for Stochastic Processes
Language: en
Pages: 727
Authors: Michel Talagrand
Categories: Mathematics
Type: BOOK - Published: 2022-01-01 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book provides an in-depth account of modern methods used to bound the supremum of stochastic processes. Starting from first principles, it takes the reader