AMS Bookstore LOGO amslogo
Return to List

AMS TextbooksAMS Applications-related Books

Minimax Methods in Critical Point Theory with Applications to Differential Equations
Paul H. Rabinowitz, University of Wisconsin, Madison, WI
A co-publication of the AMS and CBMS.
SEARCH THIS BOOK:

CBMS Regional Conference Series in Mathematics
1986; 100 pp; softcover
Number: 65
Reprint/Revision History:
reprinted with corrections 1988
ISBN-10: 0-8218-0715-3
ISBN-13: 978-0-8218-0715-6
List Price: US$23
Member Price: US$18.40
All Individuals: US$18.40
Order Code: CBMS/65
[Add Item]

The book provides an introduction to minimax methods in critical point theory and shows their use in existence questions for nonlinear differential equations. An expanded version of the author's 1984 CBMS lectures, this volume is the first monograph devoted solely to these topics. Among the abstract questions considered are the following: the mountain pass and saddle point theorems, multiple critical points for functionals invariant under a group of symmetries, perturbations from symmetry, and variational methods in bifurcation theory.

The book requires some background in functional analysis and differential equations, especially elliptic partial differential equations. It is addressed to mathematicians interested in differential equations and/or nonlinear functional analysis, particularly critical point theory.

Table of Contents

  • An overview
  • The mountain pass theorem and some applications
  • Some variants of the mountain pass theorem
  • The saddle point theorem
  • Some generalizations of the mountain pass theorem
  • Applications to Hamiltonian systems
  • Functionals with symmetries and index theorems
  • Multiple critical points of symmetric functionals: problems with constraints
  • Multiple critical points of symmetric functionals: the unconstrained case
  • Pertubations from symmetry
  • Variational methods in bifurcation theory
Powered by MathJax

  AMS Home | Comments: webmaster@ams.org
© Copyright 2014, American Mathematical Society
Privacy Statement

AMS Social

AMS and Social Media LinkedIn Facebook Podcasts Twitter YouTube RSS Feeds Blogs Wikipedia