A cloning population dynamics model for diffusing searchers yields a nonlinear integral equation for survival probability and shows that replication accelerates the fastest first-reaction time.
Population dynamics of surface-mediated autocatalytic processes
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abstract
We investigate the population dynamics of surface-mediated autocatalytic processes, in which particles diffuse in a complex environment towards surface regions where they can be either killed or replicated. These opposite mechanisms compete with each other and lead to a sophisticated stochastic evolution of the population size. We provide a systematic analysis of the generating function of the population size. We also deduce its distribution, mean, variance and higher-order moments. For this purpose, we employ several equivalent descriptions of these quantities in terms of nonlinear integral equations and partial differential equations with nonlinear boundary conditions. We inspect the long-time behavior of the population dynamics in three regimes when the mean population size vanishes, reaches a steady-state level, or grows exponentially. A numerical solution of the underlying integral equations and independent Monte Carlo simulations support our theoretical predictions.
fields
cond-mat.stat-mech 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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Surviving the Attack of the Clones
A cloning population dynamics model for diffusing searchers yields a nonlinear integral equation for survival probability and shows that replication accelerates the fastest first-reaction time.