Ascending runs of sequences of geometrically distributed random variables: a probabilistic analysis

  • Authors:
  • Guy Louchard;Helmut Prodinger

  • Affiliations:
  • Lab. d'Informatique Théorique, Faculté des Sciences, Département d'Informatique, Université Libre de Bruxelles, CP 212, Boulevard du Triomphe, B-1050 Bruxelles, Belgium;The John Knopfmacher Centre for Applicable Analysis and Number Theory, School of Mathematics, University of the Witwatersrand, P.O. Wits, 2050 Johannesburg, South Africa

  • Venue:
  • Theoretical Computer Science
  • Year:
  • 2003

Quantified Score

Hi-index 5.23

Visualization

Abstract

Using a Markov chain approach and a polyomino-like description, we study some asymptotic properties of sequences of ascending runs of geometrically distributed random variables. We analyze the limiting trajectories, the number of runs and the run length distribution, the hitting time to a length k run and the maximum run length.