Whole mirror duplication-random loss model and pattern avoiding permutations

  • Authors:
  • Jean-Luc Baril;Rémi Vernay

  • Affiliations:
  • LE2I UMR-CNRS 5158, Université de Bourgogne, B.P. 47 870, 21078 Dijon Cedex, France;LE2I UMR-CNRS 5158, Université de Bourgogne, B.P. 47 870, 21078 Dijon Cedex, France

  • Venue:
  • Information Processing Letters
  • Year:
  • 2010

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Abstract

In this paper we study the problem of the whole mirror duplication-random loss model in terms of pattern avoiding permutations. We prove that the class of permutations obtained with this model after a given number p of duplications of the identity is the class of permutations avoiding the alternating permutations of length 2^p+1. We also compute the number of duplications necessary and sufficient to obtain any permutation of length n. We provide two efficient algorithms to reconstitute a possible scenario of whole mirror duplications from identity to any permutation of length n. One of them uses the well-known binary reflected Gray code (Gray, 1953) [10]. Other relative models are also considered.