Literature DB >> 29462627

Embeddability of Kimura 3ST Markov matrices.

Jordi Roca-Lacostena1, Jesús Fernández-Sánchez2.   

Abstract

In this note, we characterize the embeddability of generic Kimura 3ST Markov matrices in terms of their eigenvalues. As a consequence, we are able to compute the volume of such matrices relative to the volume of all Markov matrices within the model. We also provide examples showing that, in general, mutation rates are not identifiable from substitution probabilities. These examples also illustrate that symmetries between mutation probabilities do not necessarily arise from symmetries between the corresponding mutation rates.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Keywords:  Eigenvalues; Embeddability; Evolutionary model; Markov generator; Markov matrix

Mesh:

Year:  2018        PMID: 29462627     DOI: 10.1016/j.jtbi.2018.02.005

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  2 in total

1.  Embeddability and rate identifiability of Kimura 2-parameter matrices.

Authors:  Marta Casanellas; Jesús Fernández-Sánchez; Jordi Roca-Lacostena
Journal:  J Math Biol       Date:  2019-11-08       Impact factor: 2.259

2.  The model-specific Markov embedding problem for symmetric group-based models.

Authors:  Muhammad Ardiyansyah; Dimitra Kosta; Kaie Kubjas
Journal:  J Math Biol       Date:  2021-09-09       Impact factor: 2.259

  2 in total

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