Partial Differential Equations

  • Jürgen Jost
Part of the Graduate Texts in Mathematics book series (GTM, volume 214)

About this book


This book offers an ideal graduate-level introduction to the theory of partial differential equations. The first part of the book describes the basic mathematical problems and structures associated with elliptic, parabolic, and hyperbolic partial differential equations, and explores the connections between these fundamental types. Aspects of  Brownian motion or pattern formation processes are also presented. The second part focuses on existence schemes and develops estimates for solutions of elliptic equations, such as Sobolev space theory, weak and strong solutions, Schauder estimates, and Moser iteration. In particular, the reader will learn the basic techniques underlying current research in elliptic partial differential equations.

This revised and expanded third edition is enhanced with many additional examples that will help motivate the reader.  New features include a reorganized and extended chapter on hyperbolic equations, as well as a new chapter on the relations between different types of partial differential equations, including first-order hyperbolic systems, Langevin and Fokker-Planck equations, viscosity solutions for elliptic PDEs, and much more. Also, the new edition contains additional material on systems of elliptic partial differential equations, and it explains in more detail how the Harnack inequality can be used for the regularity of solutions.


Brownian motion Harnack inequality Hilbert space methods Moser iteration Schauder estimates Sobolev spaces Turing mechanism eigenvalues harmonic functions heat equation maximum principle nonlinear partial differential equations pattern formation reaction-diffusion equations and systems semigroups wave equation

Authors and affiliations

  • Jürgen Jost
    • 1
  1. 1.für Mathematik in den NaturwissenschafteMax Planck Institut für Mathematik in den NaturwissenschafteLeipzigGermany

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-4808-2
  • Online ISBN 978-1-4614-4809-9
  • Series Print ISSN 0072-5285
  • Series Online ISSN 2197-5612
  • About this book