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Corrigendum to “A probabilistic analysis of a discrete-time evolution in recombination” [Adv. in Appl. Math. 91 (2017) 115–136]

Published: 01 September 2019 Publication History

Abstract

In the paper ‘A probabilistic analysis of a discrete-time evolution in recombination’ [4] the evolution of the recombination transformation Ξ = ∑ δ ρ δ ⨂ J ∈ δ μ J was described by a Markov chain ( Y n ) on a set of partitions, which converges to the finest partition. Our main results were the description of the geometric decay rate to the limit and the quasi-stationary behavior of the Markov chain when conditioned on the event that the chain does not hit the limit. All these results continue to be true, but the Markov chain ( Y n ) that was claimed to satisfy Ξ n = E ( ⨂ J ∈ Y n μ J ) required to be modified. This is done in this Corrigendum.

References

[1]
E. Baake, M. Baake, An exactly solved model for mutation, recombination and selection, Canad. J. Math. 55 (2003) 3–41. Erratum: An exactly solved model for mutation, recombination and selection, Canad. J. Math. 60 (2008) 264–265.
[2]
E. Baake, U. von Wangenheim, Single-crossover recombination and ancestral recombination trees, J. Math. Biol. 68 (6) (2014) 1371–1402.
[3]
E. Baake, M. Baake, M. Salamat, The general recombination equation in continuous time and its solution, Discrete Contin. Dyn. Syst. 36 (1) (2016) 63–95. Erratum and addendum: The general recombination equation in continuous time and its solution, Discrete Contin. Dyn. Syst. 36 (4) (2016) 2365–2366.
[4]
S. Martínez, A probabilistic analysis of a discrete-time evolution in recombination, Adv. in Appl. Math. 91 (2017) 115–136.

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          Published In

          cover image Advances in Applied Mathematics
          Advances in Applied Mathematics  Volume 110, Issue C
          Sep 2019
          412 pages

          Publisher

          Academic Press, Inc.

          United States

          Publication History

          Published: 01 September 2019

          Author Tags

          1. 60J10
          2. 92D10

          Author Tags

          1. Population genetics
          2. Recombination
          3. Partition
          4. Markov chain
          5. Geometric decay rate
          6. Quasi-stationary distribution

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