The Derivation of Chemotaxis Equations as Limit Dynamics of Moderately Interacting Stochastic Many-Particle Systems

The chemotaxis equations are a well-known system of partial differential equations describing aggregation phenomena in biology. In this paper they are rigorously derived from an interacting stochastic many-particle system, where the interaction between the particles is rescaled in a moderate way as population size tends to infinity. The novelty of this result is that in all previous applications of this kind of limiting procedure, the principal part of the system is assumed to fulfill an ellipticity condition which is not satisfied in our case. New techniques which deal with this difficulty are presented.

[1]  L. Segel,et al.  Initiation of slime mold aggregation viewed as an instability. , 1970, Journal of theoretical biology.

[2]  L. Segel,et al.  Model for chemotaxis. , 1971, Journal of theoretical biology.

[3]  W. Alt Biased random walk models for chemotaxis and related diffusion approximations , 1980, Journal of mathematical biology.

[4]  W. Alt Orientation of cells migrating in a chemotactic gradient , 1980, Advances in Applied Probability.

[5]  池田 信行,et al.  Stochastic differential equations and diffusion processes , 1981 .

[6]  L. Rogers Stochastic differential equations and diffusion processes: Nobuyuki Ikeda and Shinzo Watanabe North-Holland, Amsterdam, 1981, xiv + 464 pages, Dfl.175.00 , 1982 .

[7]  J. Smoller Shock Waves and Reaction-Diffusion Equations , 1983 .

[8]  A. Friedman Partial Differential Equations of Parabolic Type , 1983 .

[9]  R. Schaaf Stationary solutions of chemotaxis systems , 1985 .

[10]  B. Davis,et al.  Reinforced random walk , 1990 .

[11]  W. Jäger,et al.  On explosions of solutions to a system of partial differential equations modelling chemotaxis , 1992 .

[12]  K. Oelschläger The spread of a parasitic infection in a spatially distributed host population , 1992, Journal of mathematical biology.

[13]  M. Rascle,et al.  Finite time blow-up in some models of chemotaxis , 1995, Journal of mathematical biology.

[14]  A. Stevens TRAIL FOLLOWING AND AGGREGATION OF MYXOBACTERIA , 1995 .

[15]  P. Biler,et al.  Growth and accretion of mass in an astrophysical model, II , 1995 .

[16]  M. A. Herrero,et al.  Chemotactic collapse for the Keller-Segel model , 1996, Journal of mathematical biology.

[17]  M. A. Herrero,et al.  Singularity patterns in a chemotaxis model , 1996 .

[18]  Hans G. Othmer,et al.  Aggregation, Blowup, and Collapse: The ABC's of Taxis in Reinforced Random Walks , 1997, SIAM J. Appl. Math..

[19]  Howard A. Levine,et al.  A System of Reaction Diffusion Equations Arising in the Theory of Reinforced Random Walks , 1997, SIAM J. Appl. Math..

[20]  G. Wolansky A critical parabolic estimate and application to nonlocal equations arising in chemotaxis , 1997 .

[21]  M. A. Herrero,et al.  A blow-up mechanism for a chemotaxis model , 1997 .

[22]  Thomas E. Fricke Stochastic cellular automata , 1997 .

[23]  H. Gajewski,et al.  Global Behaviour of a Reaction‐Diffusion System Modelling Chemotaxis , 1998 .

[24]  Angela Stevens,et al.  A Stochastic Cellular Automaton Modeling Gliding and Aggregation of Myxobacteria , 2000, SIAM J. Appl. Math..

[25]  Reinforced Random Walks Reinforced Random Walks , 2022 .