Heat Kernel and Analysis on Manifolds is popular PDF and ePub book, written by Alexander Grigor'yan in 2009, it is a fantastic choice for those who relish reading online the Gaussian processes genre. Let's immerse ourselves in this engaging Gaussian processes book by exploring the summary and details provided below. Remember, Heat Kernel and Analysis on Manifolds can be Read Online from any device for your convenience.
Heat Kernel and Analysis on Manifolds Book PDF Summary
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.Titles in this series are co-published with International Press, Cambridge, MA, USA.
Detail Book of Heat Kernel and Analysis on Manifolds PDF
- Author : Alexander Grigor'yan
- Release : 01 July 2024
- Publisher : American Mathematical Soc.
- ISBN : 9780821893937
- Genre : Gaussian processes
- Total Page : 504 pages
- Language : English
- PDF File Size : 17,7 Mb
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