Heat Kernel and Analysis on Manifolds ( AMS/IP Studies in Advanced Mathematics )

Publication series :AMS/IP Studies in Advanced Mathematics

Author: Alexander Grigor’yan  

Publisher: American Mathematical Society‎

Publication year: 2015

E-ISBN: 9781470417505

P-ISBN(Paperback): 9780821849354

Subject: O175.2 Partial Differential Equations

Keyword: 暂无分类

Language: ENG

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Heat Kernel and Analysis on Manifolds

Description

The heat kernel has long been an essential tool in both classical and modern mathematics but has become especially important in geometric analysis as a result of major innovations beginning in the 1970s. The methods based on heat kernels have been used in areas as diverse as analysis, geometry, and probability, as well as in physics. This book is a comprehensive introduction to heat kernel techniques in the setting of Riemannian manifolds, which inevitably involves analysis of the Laplace–Beltrami operator and the associated heat equation. The first ten chapters cover the foundations of the subject, while later chapters deal with more advanced results involving the heat kernel in a variety of settings. The exposition starts with an elementary introduction to Riemannian geometry, proceeds with a thorough study of the spectral-theoretic, Markovian, and smoothness properties of the Laplace and heat equations on Riemannian manifolds, and concludes with Gaussian estimates of heat kernels. Grigor'yan has written this book with the student in mind, in particular by including over 400 exercises. The text will serve as a bridge between basic results and current research.

Chapter

Title page

Dedication

Contents

Preface

Laplace operator and the heat equation in ℝⁿ

Function spaces in ℝⁿ

Laplace operator on a Riemannian manifold

Laplace operator and heat equation in 𝐿²(𝑀)

Weak maximum principle and related topics

Regularity theory in ℝⁿ

The heat kernel on a manifold

Positive solutions

Heat kernel as a fundamental solution

Spectral properties

Distance function and completeness

Gaussian estimates in the integrated form

Green function and Green operator

Ultracontractive estimates and eigenvalues

Pointwise Gaussian estimates I

Pointwise Gaussian estimates II

Appendix A. Reference material

Bibliography

Some notation

Index

Back Cover

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