Reserach Interest-2: Biologically inspired dynamical systems

  1. Nonequlibrium Phenomena in General, Chaos, ..

  2. Coupled Map Lattices : I started the study of coupled map lattice (CML) about two decades ago ( Prog. Theo. Phys. 72 (1984) 480-486; (1985) 1033-1044). It has become one of the standard tools to study pattern dynamics and spatiotemporal chaos. Spatiotemporal intermittency (STI), which I reported in the above papers, turns out to be a standard route to spatiotemporal chaos, while a different class of this STI is found in K. Kaneko, Physica 34D (1989) 1-41. Progresses in the study of CML are summarized in Theory and Applications of Coupled Map Lattices} (Wiley, 1993, K.K. ed.) and in Chapt.3 of K. Kaneko and I. Tsuda Complex Systems: Chaos and Beyond -----A Constructive Approach with Applications in Life Sciences (Springer, 2000) .

  3. Globally Coupled Maps, Coupled Map Lattices, or generally coupled dynamical systems: As a general system in globally coupled dynamical system, I introduced a model called Globally Coupled Map (GCM). The model shows a rich variety of novel phenomena, in spite of its simplicity; clusterings, hierarchical clusterings, partial order in relationship with spin glass, chaotic itinerancy, collcetive chaos,... Some of them are rather well understood, while some are not yet fully clarified.

    (K. Kaneko ``Clustering, Coding, Switching, Hierarchical Ordering, and Control in Network of Chaotic Elements", Physica 41 D (1990) 137-172; Chapt 4 of K. Kaneko and I. Tsuda Complex Systems: Chaos and Beyond -----A Constructive Approach with Applications in Life Sciences (Springer, 2000) )

    Recent progress in collective dynamics is seen in

    T. Shibata, T. Chawanya and K. Kaneko ``Noiseless Collective Motion out of Noisy Chaos" Phys. Rev. Lett., 82 (1999) 4424-4427

    T. Shibata and K. Kaneko ``Collective Chaos", Phys. Rev. Lett., 81 (1998) 4116-4119

    An attempt to include the motion in elements is given by

    T. Shibata and K. Kaneko, Coupled Map Gas, Physica D., submitted

  4. Ubiquity of Chaotic Itinerancy

  5. Dynamics and Computation

    A. Saito and K. Kaneko, ``Inaccessibility and Undecidability in Computation, Geometry and Dynamical Systems", Physica D, 155 (2001) 1-33

  6. Dynamical Systems Game Theory

    E. Akiyama and K. Kaneko ``Dynamical Systems Game Theory and Dynamics of Games,'' Physica D, 147, (2000) 221-258.

    ``Dynamical Systems Game Theory II'' Physica D. (2002)

  7. Open Flow Dynamics: Coupled dynamical systems with one-way coupling shows novel interesting behaviors, associated with convective instability.

    F.H. Willeboordse and K. Kaneko, `` Pattern Dynamics of a Coupled Map Lattice for Open Flow", Physica 86D (1995) 428-455

    K. Fujimoto and K. Kaneko ``Noise Induced Boundary Dependence through Convective Instability", Physica D 129 (1999) 203-222

    ``Sensitive boundary condition dependence of noise-sustained structure" Phys. Rev. E., 63 (2001) 036218-222

  8. Dynamics of Plastic Networks

    Junji Ito and Kunihiko Kaneko `` Spontaneous structure formation in a network of chaotic units with variable connection strengths", Phys. Rev. Lett., 88 (2002) 028701-1

    `Self-organized hierarchical structure in a plastic network of chaotic units" Neural Networks 13 (2000) 275-281

  9. Magic Number 7 in dynamical systems, and Dominance of Milnor Attractors: How many dimensions are sufficient for `many' degrees of freedom? Is it related with Combinatorial explosion in some structure in the phase space? Is the number predicted here related with magic number 7 in pshycology? Does this also set a limit in control in high-dimensional chaos? Also, we found that Milnor attractors are quite common in higgh-dimensional dynamical systems. Is it related with the above questions? How is it relhiko Kaneko,

    K. Kaneko. ``Magic Number 7 +- 2 in Globally Coupled Dynamical Systems" Phys. rev. E, in press

    K. Kaneko ``On the Strength of Attractors in a High-dimensional System: Milnor Attractor Network, Robust Global Attraction, and Noise-induced Selection", Physica D, 124 (1998) 322-344

    ``Dominance of Milnor Attractors and Noise-induced Selection in a Multi-attractor System", Phys. Rev. Lett., 78 (1997) 2736-2739

  10. Function Dynamics Is it possible to go beyond the framework using separation of rule and states, taht is generally assimed in dynamical systems? This question is pursued to set up a general framework for a biological system, and is answered in the affirmative.

    N. Kataoka and K. Kaneko, Entangled Network in Function Dynamics, Physica D, submitted.

    Y. Takahashi, N. Kataoka, K. Kaneko, and T. Namiki ``Function Dynamics", Jap J. Appl. Math., 18 (2001) 405-423

    N. Kataoka and K. Kaneko ``Functional Dynamics II", Physica D 149 (2001) 174-196 ``Functional Dynamics I", Physica D (2000); ``Functional Dynamics for Natural Language", BioSystems, 57 (2000) 1-11

  11. Dynamics of Internal Degrees of Freddom, to make Robust Energy conversion possible

    N. Nakagawa and K. Kaneko, ``Relaxation, the Boltzmann-Jeans Conjecture and Chaos" Phys. Rev. E 64., (2001) 055205(R)-209; J. Phys. Soc. Japan, 69 (2000) 36-39

    N, Nakagawa, K. Kaneko and T.S. Komatsu, ``Long-term Relaxation of a Composite System in Partial Contact with a Heat Bath", J. Phys. Soc. Jpn, 69 (2000) 3214-3222

  12. Dynamics of Differentiation

    H. Takagi and K. Kaneko ``Differentiation and Replication of Spots in a Reaction Diffusion System with Many Chemicals", Int. J. Bifurcation and Chaos, in press Europhys. Lett., 56 (2001) 145-151.

    K.Kaneko, ``Coupled Maps with Growth and Death: An Approach to Cell Differentiation", Physica 103 D(1997) 505-527

  13. Importance of discreteness in number to dynamics We often adopt rate equation to study the change of concentrations in chemical reaction dynamics. However, in a cell, often the number of each molecule species is not large eonough to validiate this continuum limit approcimation. The effect of this smallness in numbers is usually calculated as fluctuations to the rate equation, say by Langevin equation. When the number is much smaller, however, the discreteness 0,1,2,... may be important. We found that such discreteness induces a new type of transitions (symmetry breaking) in the distribution of molecule numbers. Relevance of the result to complex reaction networks is also under investigation.

    Y. Togashi and K. Kaneko `` Transitions Induced by the Discreteness of Molecules in a Small Autocatalytic System'' Phys. Rev. Lett. , 86 (2001) 2459-2462; ``Amplification of Chemical Concentrations by Discreteness Induced Transitions in Small Autocatalytic Systems", J. Phys. Soc. Jpn, in press.

  14. Dynamical Systems with memory We try to understand 'memory' as a response to external operation into a dynamical system. An example is given, with the use of uni-directionally coupled dynamical system:

    S. Ishihara and K Kaneko Simple dynamical system model of history dependent phenomena J. Phys. Soc. Jpn.

    In relation, we are interested in how fast dynamics are `embeded' into slow dynamics (which may look like the converse to `slaving principle').

    K. Fujimoto and K. Kaneko `How fast elements influence slow elements', submitted to Physica D.

Reserch interests 1
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