Limit cycles in piecewise-affine gene network models with multiple interaction loops

被引:19
作者
Farcot, Etienne [1 ]
Gouze, Jean-Luc [2 ]
机构
[1] CIRAD INRIA, UMR DAP, F-34398 Montpellier 5, France
[2] COMORE INRIA, Unite Rech Sophia Antipolis Mediterranee, F-06902 Sophia Antipolis, France
关键词
piecewise linear dynamical systems; periodic trajectories; monotone; concave maps; interaction graph; genetic network models; LINEAR DIFFERENTIAL-EQUATIONS; QUALITATIVE SIMULATION; REGULATORY NETWORKS; MATHEMATICAL-MODELS; SYSTEMS; OSCILLATIONS; STABILITY;
D O I
10.1080/00207720903144552
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, we consider piecewise affine differential equations modelling gene networks. We work with arbitrary decay rates, and under a local hypothesis expressed as an alignment condition of successive focal points. The interaction graph of the system may be rather complex (multiple intricate loops of any sign, multiple thresholds, etc.). Our main result is an alternative theorem showing that if a sequence of region is periodically visited by trajectories, then under our hypotheses, there exists either a unique stable periodic solution, or the origin attracts all trajectories in this sequence of regions. This result extends greatly our previous work on a single negative feedback loop. We give several examples and simulations illustrating different cases.
引用
收藏
页码:119 / 130
页数:12
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