Pattern statistics and Vandermonde matrices

  • Authors:
  • Massimiliano Goldwurm;Violetta Lonati

  • Affiliations:
  • Dipartimento di Scienze dell'Informazione, Università degli Studi di Milano, Milano, Italy;Dipartimento di Scienze dell'Informazione, Università degli Studi di Milano, Milano, Italy

  • Venue:
  • Theoretical Computer Science - In honour of Professor Christian Choffrut on the occasion of his 60th birthday
  • Year:
  • 2006

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Abstract

In this paper, we determine some limit distributions of pattern statistics in rational stochastic models. We present a general approach to analyze these statistics in rational models having an arbitrary number of strongly connected components. We explicitly establish the limit distributions in most significant cases; they are characterized by a family of unimodal density functions defined by means of confluent Vandermonde matrices.