J Math Biol. 2024 Dec 6;90(1):3. doi: 10.1007/s00285-024-02165-x.
ABSTRACT
Ben-Ari and Schinazi (J Stat Phys 162:415-425, 2016) introduced a stochastic model to study ‘virus-like evolving population with high mutation rate’. This model is a birth and death model with an individual at birth being either a mutant with a random fitness parameter in [0, 1] or having one of the existing fitness parameters with uniform probability; whereas a death event removes the entire population of the least fitness. We change this to incorporate the notion of ‘survival of the fittest’, by requiring that a non-mutant individual, at birth, has a fitness according to a preferential attachment mechanism, i.e., it has a fitness f with a probability proportional to the size of the population of fitness f. Also death just removes one individual with the least fitness. This preferential attachment rule leads to a power law behaviour in the asymptotics, unlike the exponential behaviour obtained by Ben-Ari and Schinazi (J Stat Phys 162:415-425, 2016).
PMID:39641863 | DOI:10.1007/s00285-024-02165-x
