Abstract
This work is devoted to the study of the scaling, and the consequent power-law behavior, of the correlation function in a mutation-replication model known as the expansion-modification system. The latter is a biology inspired random substitution model for the genome evolution, which is defined on a binary alphabet and depends on a parameter interpreted as a mutation probability. We prove that the time-evolution of this system is such that any initial measure converges towards a unique stationary one exhibiting decay of correlations not slower than a power-law. We then prove, for a significant range of mutation probabilities, that the decay of correlations indeed follows a power-law with scaling exponent smoothly depending on the mutation probability. Finally we put forward an argument which allows us to give a closed expression for the corresponding scaling exponent for all the values of the mutation probability. Such a scaling exponent turns out to be a piecewise smooth function of the parameter.
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Notes
According to our numerical computations.
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Salgado-García, R., Ugalde, E. Exact Scaling in the Expansion-Modification System. J Stat Phys 153, 842–863 (2013). https://doi.org/10.1007/s10955-013-0866-x
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DOI: https://doi.org/10.1007/s10955-013-0866-x