Partial Differential Equations with Minimal Smoothness and Applications

  • B. Dahlberg
  • R. Fefferman
  • Carlos Kenig
  • Eugene Fabes
  • David Jerison
  • J. Pipher
Conference proceedings

Part of the The IMA Volumes in Mathematics and its Applications book series (IMA, volume 42)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. J. Marshall Ash, Jonathan Cohen, Chris Freiling, A. E. Gatto, Dan Rinne
    Pages 25-32
  3. Patricio Avilés, Juan J. Manfredi
    Pages 33-36
  4. Christopher J. Bishop
    Pages 89-97
  5. Russell M. Brown, Zhongwei Shen
    Pages 105-109
  6. Burgess Davis
    Pages 111-114
  7. Eugene Fabes, Mark Sand, Jin Keun Seo
    Pages 129-137
  8. John L. Lewis, Margaret Murray
    Pages 173-188

About these proceedings


In recent years there has been a great deal of activity in both the theoretical and applied aspects of partial differential equations, with emphasis on realistic engineering applications, which usually involve lack of smoothness. On March 21-25, 1990, the University of Chicago hosted a workshop that brought together approximately fortyfive experts in theoretical and applied aspects of these subjects. The workshop was a vehicle for summarizing the current status of research in these areas, and for defining new directions for future progress - this volume contains articles from participants of the workshop.


Derivative Minimum Smooth function differential equation linear optimization measure partial differential equation

Editors and affiliations

  • B. Dahlberg
    • 1
  • R. Fefferman
    • 2
  • Carlos Kenig
    • 2
  • Eugene Fabes
    • 3
  • David Jerison
    • 4
  • J. Pipher
    • 2
  1. 1.Department of MathematicsUniversity of South CarolinaColumbiaUSA
  2. 2.Department of MathematicsUniversity of ChicagoChicagoUSA
  3. 3.Department of MathematicsUniversity of MinnesotaMinneapolisUSA
  4. 4.Department of MathematicsMassachusetts Institute of TechnologyCambridgeUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag New York 1992
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-7712-5
  • Online ISBN 978-1-4612-2898-1
  • Series Print ISSN 0940-6573
  • Buy this book on publisher's site