TY - JOUR
T1 - On a model of evolution of subspecies
T2 - On a model of evolution..: R. Roy, H. Tanemura
AU - Roy, Rahul
AU - Tanemura, Hideki
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.
PY - 2025/1
Y1 - 2025/1
N2 - 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).
AB - 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).
KW - Markov chain
KW - Preferential attachment model
KW - Yule-Simon distribution
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U2 - 10.1007/s00285-024-02165-x
DO - 10.1007/s00285-024-02165-x
M3 - Article
C2 - 39641863
AN - SCOPUS:85211327363
SN - 0303-6812
VL - 90
JO - Journal of Mathematical Biology
JF - Journal of Mathematical Biology
IS - 1
M1 - 3
ER -