Hostname: page-component-76fb5796d-dfsvx Total loading time: 0 Render date: 2024-04-29T02:57:55.441Z Has data issue: false hasContentIssue false

Global Stability of Steady Solutions for a Model in Virus Dynamics

Published online by Cambridge University Press:  15 November 2003

Hermano Frid
Affiliation:
Instituto de Matemática Pura e Aplicada – IMPA, Estrada Dona Castorina, 110, Rio de Janeiro, RJ 22460-320, Brazil. hermano@impa.br.
Pierre-Emmanuel Jabin
Affiliation:
Département de Mathématiques et Applications, École Normale Supérieure de Paris, 45 rue d'Ulm, 75230 Paris Cedex 05, France. jabin@dma.ens.fr.
Benoît Perthame
Affiliation:
Département de Mathématiques et Applications, École Normale Supérieure de Paris, 45 rue d'Ulm, 75230 Paris Cedex 05, France. perthame@dma.ens.fr.
Get access

Abstract

We consider a simple model for the immune system in which virus are able to undergo mutations and are in competition with leukocytes. These mutations are related to several other concepts which have been proposed in the literature like those of shape or of virulence – a continuous notion. For a given species, the system admits a globally attractive critical point. We prove that mutations do not affect this picture for small perturbations and under strong structural assumptions. Based on numerical and theoretical arguments, we also examine how, releasing these assumptions, the system can blow-up.

Type
Research Article
Copyright
© EDP Sciences, SMAI, 2003

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bellomo, N. and Preziosi, L., Modeling and mathematical problems related to tumors immune system interactions. Math. Comput. Model. 31 (2000) 413-452. CrossRef
R. Bürger,The mathematical theory of selection, recombination and mutation. Wiley (2000).
M.A.J. Chaplain Ed., Special Issue on Mathematical Models for the Growth, Development and Treatment of Tumours. Math. Mod. Meth. Appl. S. 9 (1999).
De Angelis, E. and Jabin, P.-E., Analysis of a mean field modelling of tumor and immune system competition. Math. Mod. Meth. Appl. S. 13 (2003) 187-206. CrossRef
P. Degond and B. Lucquin-Desreux, The Fokker-Plansk asymptotics of the Boltzmann collision operator in the Coulomb case? Math. Mod. Meth. Appl. S. 2 (1992) 167-182. CrossRef
O. Dieckmann and J.P. Heesterbeek, Mathematical Epidemiology of infectious Diseases. Wiley, New York (2000).
O. Diekmann, P.-E. Jabin, S. Mischler and B. Perthame, Adaptive dynamics without time scale separation. Work in preparation.
Lins, A., de Melo, W. and Pugh, C.C., Liénard's, On equation. Lecture Notes in Math. 597 (1977) 334-357.
R.M. May and M.A. Nowak, Virus dynamics (mathematical principles of immunology and virology). Oxford Univ. Press (2000).
Perelson, A.S. and Weisbuch, G., Immunology for physicists. Rev. modern phys. 69 (1997) 1219-1267. CrossRef
Salda, J. na, S.F. Elana and R.V. Solé, Coinfection and superinfection in RNA virus populations: a selection-mutation model. Math. Biosci. 183 (2003) 135-160. CrossRef
C.H. Taubes, Modeling lectures on differential equations in biology. Prentice-Hall (2001).
C. Villani, A review of mathematical topics in collisional kinetic theory, in Handbook of fluid mechanics, S. Friedlander and D. Serre Eds., Vol. 1. North-Holland, Amsterdam (2000) 71-305.
Waxman, D., A model of population genetics and its mathematical relation to quantum theory. Contemp. phys. 43 (2002) 13-20. CrossRef