
Mathematical models of cell self-organization
Author(s) -
Benôıt Perthame
Publication year - 2011
Publication title -
journal of the egyptian mathematical society
Language(s) - English
Resource type - Journals
eISSN - 2090-9128
pISSN - 1110-256X
DOI - 10.1016/j.joems.2011.09.005
Subject(s) - mathematics , nonlinear system , partial differential equation , mathematical and theoretical biology , scale (ratio) , qualitative analysis , mathematical model , statistical physics , mathematical analysis , statistics , qualitative research , physics , biology , sociology , social science , quantum mechanics , genetics
Various classes of Partial Differential Equations have shown to be successful in describing the self-organization of bacterial colonies, a topic also sometimes called socio-biology. For instance parabolic systems are standard; the classical Patlak–Keller–Segel system and Mimura’s system are able to explain two elementary processes underlying qualitative behaviors of populations and complex patterns: oriented drift by chemoattraction and colony growth with local nutrient depletion.More recently nonlinear hyperbolic and kinetic models also have been used to describe the phenomena at a smaller scale. We explain here some motivations for ‘microscopic’ descriptions, the mathematical difficulties arising in their analysis and how kinetic models can help in understanding the unity of these descriptions