Cooperative Dynamics in Complex Physical Systems

Proceedings of the Second Yukawa International Symposium, Kyoto, Japan, August 24–27, 1988

  • Hajime Takayama
Conference proceedings

Part of the Springer Series in Synergetics book series (SSSYN, volume 43)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. New Type of Phase Transitions in Frustrated Systems, Polymers, etc.

    1. Front Matter
      Pages 1-1
    2. C. Kawabata, M. Takeuchi, T. Nakanishi, A. R. Bishop
      Pages 28-29
    3. T. Goto, T. Kohmoto, S. Maegawa, M. Mekata
      Pages 38-39
    4. M. Matsuura, H. Kageyama, K. Koyama
      Pages 57-58
    5. S. Hirotsu, A. Kaneki, K. Iwasaki, I. Yamamoto
      Pages 68-69
    6. Xiao Hu, M. Suzuki
      Pages 70-71
    7. K. Sekimoto, N. Suematsu, Kyozi Kawasaki
      Pages 72-73
    8. Y. Y. Suzuki, T. Tanaka
      Pages 76-77
    9. H. Hayakawa, M. Yamamoto, H. Takayasu
      Pages 102-103
    10. Y. Hayakawa, M. Matsushita
      Pages 106-107
  3. Spin Glasses and Related Random Systems

    1. Front Matter
      Pages 109-109
    2. M. Ocio, J. Hammann, E. Vincent
      Pages 128-133
    3. K. Nemoto
      Pages 165-166
    4. S. Murayama, Y. Miyako, E. F. Wassermann
      Pages 167-168
    5. H. Yoshizawa, S. Mitsuda, H. Aruga, A. Ito
      Pages 169-170
    6. T. Kamai, K. Iio, H. Tanaka, K. Nagata
      Pages 173-174
    7. M. Hagiwara, T. Kawaguchi, M. Matsuura
      Pages 175-176
    8. T. Shirakura, S. Inawashiro, M. Suzuki
      Pages 181-182
    9. A. Jagannathan, R. Orbach, O. Entin-Wohlman
      Pages 183-188

About these proceedings


Many novel cooperative phenomena found in a variety of systems studied by scientists can be treated using the uniting principles of synergetics. Examples are frustrated and random systems, polymers, spin glasses, neural networks, chemical and biological systems, and fluids. In this book attention is focused on two main problems. First, how local, topological constraints (frustrations) can cause macroscopic cooperative behavior: related ideas initially developed for spin glasses are shown to play key roles also for optimization and the modeling of neural networks. Second, the dynamical constraints that arise from the nonlinear dynamics of the systems: the discussion covers turbulence in fluids, pattern formation, and conventional 1/f noise. The volume will be of interest to anyone wishing to understand the current development of work on complex systems, which is presently one of the most challenging subjects in statistical and condensed matter physics.


Atom Diffusion Hydra dynamical systems kinetics liquid crystal mechanics metals molecule nonlinear dynamics phase diagram phase transition spin statistical physics structure

Editors and affiliations

  • Hajime Takayama
    • 1
  1. 1.Research Institute for Fundamental Physics, (Yukawa Hall)Kyoto UniversityKyotoJapan

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1989
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-74556-0
  • Online ISBN 978-3-642-74554-6
  • Series Print ISSN 0172-7389
  • Buy this book on publisher's site