<p>The heart of the book is the development of a short-time asymptotic expansion for the heat kernel. This is explained in detail and explicit examples of some advanced calculations are given. In addition some advanced methods and extensions, including path integrals, jump diffusion and others are p
Heat Kernel Method and its Applications
β Scribed by Avramidi, Ivan G
- Publisher
- BirkhΓ€user
- Year
- 2015
- Tongue
- English
- Leaves
- 402
- Edition
- 1st ed.
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The heart of the book is the development of a short-time asymptotic expansion for the heat kernel. This is explained in detail and explicit examples of some advanced calculations are given. In addition some advanced methods and extensions, including path integrals, jump diffusion and others are presented.
The book consists of four parts: Analysis, Geometry, Perturbations and Applications. The first part shortly reviews of some background material and gives an introduction to PDEs. The second part is devoted to a short introduction to various aspects of differential geometry that will be needed later. The third part and heart of the book presents a systematic development of effective methods for various approximation schemes for parabolic differential equations. The last part is devoted to applications in financial mathematics, in particular, stochastic differential equations.
Although this book is intended for advanced undergraduate or beginning graduate students in, it should also provide a useful reference for professional physicists, applied mathematicians as well as quantitative analysts with an interest in PDEs. Β Β
β¦ Table of Contents
Front Matter....Pages i-xix
Front Matter....Pages 1-1
Background in Analysis....Pages 3-41
Introduction to Partial Differential Equations....Pages 43-84
Front Matter....Pages 85-85
Introduction to Differential Geometry....Pages 87-166
Front Matter....Pages 167-167
Singular Perturbations....Pages 169-196
Heat Kernel Asymptotics....Pages 197-238
Advanced Topics....Pages 239-304
Front Matter....Pages 305-305
Stochastic Processes....Pages 307-328
Applications in Mathematical Finance....Pages 329-377
Back Matter....Pages 379-390
β¦ Subjects
Partial differential equations. (LCSH - aucune traduction)
π SIMILAR VOLUMES
Kernel smoothing has greatly evolved since its inception to become an essential methodology in the Data Science tool kit for the 21st century. Its widespread adoption is due to its fundamental role for multivariate exploratory data analysis, as well as the crucial role it plays in composite solution