Resistance forms, quasisymmetric maps, and heat kernel estimates
 Author/Creator
 Kigami, Jun.
 Language
 English.
 Imprint
 Providence, R.I. : American Mathematical Society, 2012, c2011.
 Physical description
 v, 132 p. : ill. ; 26 cm.
 Series
 Memoirs of the American Mathematical Society ; no. 1015.
Access
Available online

Stacks

Unknown
QA3 .A57 NO.1015

Unknown
QA3 .A57 NO.1015
More options
Contents/Summary
 Bibliography
 Includes bibliographical references (p. 12325) and index.
 Contents

 Introduction
 Topology associated with a subspace of functions
 Basics on resistance forms
 The Green function
 Topologies associated with resistance forms
 Regularity of resistance forms
 Annulus comparable condition and local property
 Trace of resistance form
 Resistance forms as Dirichlet forms
 Transition density
 Semiquasisymmetric metrics
 Quasisymmetric metrics
 Relations of measures and metrics
 Construction of quasisymmetric metrics
 Main results on heat kernel estimates
 Example: the astable process on R
 Basic tools in heat kernel estimates
 Proof of theorem 15.6
 Proof of theorems 15.10, 15.11 and 15.13
 Generalized Sierpinski gasket
 Random Sierpinski gasket
 Resistance forms on random Sierpinski gaskets
 Volume doubling property
 Homogenous case
 Introducing randomness.
 Publisher's Summary
 Assume that there is some analytic structure, a differential equation or a stochastic process for example, on a metric space. To describe asymptotic behaviors of analytic objects, the original metric of the space may not be the best one. Every now and then one can construct a better metric which is somehow "intrinsic" with respect to the analytic structure and under which asymptotic behaviors of the analytic objects have nice expressions. The problem is when and how one can find such a metric. In this paper, the author considers the above problem in the case of stochastic processes associated with Dirichlet forms derived from resistance forms. The author's main concerns are the following two problems: (I) When and how to find a metric which is suitable for describing asymptotic behaviors of the heat kernels associated with such processes. (II) What kind of requirement for jumps of a process is necessary to ensure good asymptotic behaviors of the heat kernels associated with such processes.
(source: Nielsen Book Data)
Subjects
Bibliographic information
 Publication date
 2011
 Responsibility
 Jun Kigami.
 Series
 Memoirs of the American Mathematical Society, 00659266 ; no. 1015
 Note
 "Volume 216, number 1015 (first of 4 numbers)."
 ISBN
 9780821852996 (alk. paper)
 082185299X (alk. paper)