An Introduction to Minimax Theorems and Their Applications to Differential Equations / Edition 1

An Introduction to Minimax Theorems and Their Applications to Differential Equations / Edition 1

ISBN-10:
0792368320
ISBN-13:
9780792368328
Pub. Date:
02/28/2001
Publisher:
Springer US
ISBN-10:
0792368320
ISBN-13:
9780792368328
Pub. Date:
02/28/2001
Publisher:
Springer US
An Introduction to Minimax Theorems and Their Applications to Differential Equations / Edition 1

An Introduction to Minimax Theorems and Their Applications to Differential Equations / Edition 1

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Overview

The book is intended to be an introduction to critical point theory and its applications to differential equations. Although the related material can be found in other books, the authors of this volume have had the following goals in mind:

• To present a survey of existing minimax theorems,
• To give applications to elliptic differential equations in bounded domains,
• To consider the dual variational method for problems with continuous and discontinuous nonlinearities,
• To present some elements of critical point theory for locally Lipschitz functionals and give applications to fourth-order differential equations with discontinuous nonlinearities,
• To study homoclinic solutions of differential equations via the variational methods.
The contents of the book consist of seven chapters, each one divided into several sections.
Audience: Graduate and post-graduate students as well as specialists in the fields of differential equations, variational methods and optimization.


Product Details

ISBN-13: 9780792368328
Publisher: Springer US
Publication date: 02/28/2001
Series: Nonconvex Optimization and Its Applications , #52
Edition description: 2001
Pages: 274
Product dimensions: 6.14(w) x 9.21(h) x 0.03(d)

Table of Contents

1. Minimization and Mountain-Pass Theorems.- 2. Saddle-Point and Linking Theorems.- 3. Applications to Elliptic Problems in Bounded Domains.- 4. Periodic Solutions for Some Second-Order Differential Equations.- 5. Dual Variational Method and Applications.- 6. Minimax Theorems for Locally Lipschitz Functionals and Applications.- 7. Homoclinic Solutions of Differential Equations.- Notations.
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