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Anaïs Rat

Publications and source records attributed to Anaïs Rat.

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Comparison Between Effective and Individual Growth Rates in a Heterogeneous Population

Is there an advantage to heterogeneity in a population where individuals grow and divide by fission? This is a broad question, to which there is no easy universal answer. This article aims to provide a quantitative answer in the specific context of growth rate heterogeneity by comparing the fitness of homogeneous versus heterogeneous populations. We focus on size-structured populations, where the growth rate of each individual is set at birth by heredity and/or random mutations. The fitness (or Malthus parameter, or effective fitness) of such heterogeneous population is defined by its long-term behaviour, and we introduce the effective growth rate as the individual growth rate in the homogeneous population with the same fitness. We derive analytical formulae linking effective and individual growth rates in two paradigmatic cases: first, constant growth and division rates, second, linear growth rates and uniform fragmentation. Surprisingly, these two cases yield similar expressions. Then, by comparing the fitness and the effective growth rates of populations with different degrees of heterogeneity or different laws of heredity/mutation to those of average homogeneous populations, we quantitatively investigate the combined influence of heredity and heterogeneity, and revisit previous results stating that heterogeneity is beneficial in the case of strong heredity.

math.AP

Growth-fragmentation model for a population presenting heterogeneity in growth rate: Malthus parameter and long-time behavior

The goal of the present paper is to explore the long-time behavior of the growth-fragmentation equation formulated in the case of equal mitosis and variability in growth rate, under fairly general assumptions on the coefficients. The first results concern the monotonicity of the Malthus parameter with respect to the coefficients. Existence of a solution to the associated eigenproblem is then stated in the case of a finite set of growth rates thanks to Kreĭn-Rutman theorem and a series of estimates on moments. Afterwards, adapting the classical general relative entropy (GRE) method enables us to ensure uniqueness of the eigenelements and derive the long-time asymptotics of the Cauchy problem. We prove convergence towards the steady state including in the case of individual exponential growth known to exhibit oscillations at large times in absence of variability. A few numerical simulations are eventually performed in the case of linear growth rate to illustrate our monotonicity results and the fact that variability, providing enough mixing in the heterogeneous population, is sufficient to re-establish asynchronicity.

math.AP