Leonid Bunimovich

  1. Covering relations for coupled map networks.

    Authors: Leonid Bunimovich, Ming-Chia Li, Ming-Jiea Lyu
    Subjects: Dynamical Systems
    Abstract

    Following [6,12], we study coupled map networks over arbitrary finite graphs.
    An estimate from below for a topological entropy of a perturbed coupled map
    network via a topological entropy of an unperturbed network by making use of
    the covering relations for coupled map networks is obtained. The result is
    quite general, particularly no assumptions on hyperbolicity of a local dynamics
    or linearity of coupling are made.

  2. The optimal sink and the best source in a Markov chain.

    Authors: Leonid Bunimovich, Yuri Bakhtin
    Subjects: Probability
    Abstract

    It is well known that the distributions of hitting times in Markov chains are
    quite irregular, unless the limit as time tends to infinity is considered. We
    show that nevertheless for a typical finite irreducible Markov chain and for
    nondegenerate initial distributions the tails of the distributions of the
    hitting times for the states of a Markov chain can be ordered, i.e., they do
    not overlap after a certain finite moment of time.

  3. Isospectral Graph Reductions.

    Authors: Leonid Bunimovich, Benjamin Webb
    Subjects: Combinatorics
    Abstract

    Let G be an arbitrary finite weighted digraph with weights in the set of
    complex rational functions. A general procedure is proposed which allows for
    the reduction of G to a smaller graph with a less complicated structure having
    the same spectrum as of G (up to some set known in advance). The proposed
    procedure has a lot of flexibility and could be used e.g. for design of
    networks with prescribed spectral and dynamical properties.

  4. Isospectral Graph Reductions.

    Authors: Leonid Bunimovich, Benjamin Webb
    Subjects: Combinatorics
    Abstract

    Let G be an arbitrary finite weighted digraph with weights in the set of
    complex rational functions. A general procedure is proposed which allows for
    the reduction of G to a smaller graph with a less complicated structure having
    the same spectrum as of G (up to some set known in advance). The proposed
    procedure has a lot of flexibility and could be used e.g. for design of
    networks with prescribed spectral and dynamical properties.

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