SATO Yuzuru Associate Professor

Applied Mathematics

Research Institute for Electronic Science
Research Interest
Nonlinear dynamical systems, Complex systems
Chaotic dynamical systems, Complex systems, Complexity, Computation theory, entropy, Fluctuation and noise, Information theory, Prediction and control, Random dynamical systems, Spatio-temporal chaos

Research Activities

I study nonlinear dynamical systems and complex systems with interest in complexity of spatio-temporal chaotic dynamics. My current research are focused on random dynamical systems approaches to noise-induced phenomena, time-series analysis of dynamical systems with large degrees of freedom, and information theoretic analysis of spatio-temporal chaos. Applications of nonlinear dynamical systems theory to problems in information theory, computation theory, prediction and control, are also put in perspective.


  • Yuzuru Sato, “Noise-induced phenomena in one-dimensional maps,” RIMS Technical Report, No. 1688, p137, (2009); Yuzuru Sato, Makoto Iima and Yuji Tasaka, “Random dynamics from time-serieses of rotating fluid,” Hokkaido University Preprint Series in Mathematics, #979 (2011).
  • Yuzuru Sato, Eizo Akiyama and James P. Crutchfield, “Stability and Diversity in Collective Adaptation,” Physica, D 210, p21-57, (2005).
  • Yuzuru Sato, Makoto Taiji and Takashi Ikegami, “NP-completeness of kSAT and Multifractals,” Computer Physics Communications, 121, p51-53, (1999); Yuzuru Sato, Makoto Taiji and Takashi Ikegami, “On the Power of Nonlinear Mappings in Switching Map Systems,” Unconventional Models of Computation, Springer-Verlag, p234-247, (2000).