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20092026
most citedCircadian rhythm and cell population growth

28 citations · 51 across the 13 of their papers we have counts for

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12 papers · 1 filter

math.AP2026

Subdiffusive fractional limit of a jump-renewal equation

Hugues Berry, Pierre Gabriel, Thomas Lepoutre +1

In this paper, we consider an age-structured jump model that arises as a description of continuous time random walks with infinite mean waiting time between jumps. We prove that un…

math.AP2022★ 2 cited

Adaptation to a changing environment: what me Normal?

Jimmy Garnier, O Cotto, T Bourgeron +4

Predicting the adaptation of populations to a changing environment is crucial to assess the impact of human activities on biodiversity. Many theoretical studies have tackled this i…

math.AP2018

Improved duality estimates: time discrete case and applications to a class of cross-diffusion systems

Thomas Lepoutre

We adapt the improved duality estimates for bounded coefficients derived by Canizo et al. to the framework of cross diffusion. Since the estimates can not be directly applied we ne…

math.AP2016

Entropic structure and duality for multiple species cross-diffusion systems

Thomas Lepoutre, Ayman Moussa

This paper deals with the existence of global weak solutions for a wide class of (multiple species) cross-diffusions systems. The existence is based on two different ingredients: a…

math.AP2015

Quantitative convergence towards a self similar profile in an age-structured renewal equation for subdiffusion

Hugues Berry, Thomas Lepoutre, Álvaro Mateos González

Continuous-time random walks are generalisations of random walks frequently used to account for the consistent observations that many molecules in living cells undergo anomalous di…

math.AP2014

On the entropic structure of reaction-cross diffusion systems

Laurent Desvillettes, Thomas Lepoutre, Ayman Moussa +1

This paper is devoted to the study of systems of reaction-cross diffusion equations arising in population dynamics. New results of existence of weak solutions are presented, allowi…