全球智库信息集成服务系统(G2TT): Measure Dynamics on a One-Dimensional Continuous Trait Space: Theoretical Foundations for Adaptive Dynamics.

G2TT

来源类型	Monograph (IIASA Interim Report)
规范类型	报告
	Measure Dynamics on a One-Dimensional Continuous Trait Space: Theoretical Foundations for Adaptive Dynamics.
	Cressman R; Hofbauer J
发表日期	2004
出版者	IIASA, Laxenburg, Austria: IR-04-016
出版年	2004
语种	英语
摘要	The measure dynamic approach to modeling single-species coevolution with a one-dimensional trait space is developed and compared to traditional method of adaptive dynamics and the Maximum Principle. It is shown that among monomorphisms (i.e. measures supported on single trait value), the CSS (Continuously Stable Strategy) characterize those that are Lyapunov stable and attract all initial measures supported in an interval containing this trait value. In the cases where adaptive dynamics predicts evolutionary branching, convergence to dimorphism is established.
主题	Adaptive Dynamics Network (ADN)
URL	http://pure.iiasa.ac.at/id/eprint/7430/
来源智库	International Institute for Applied Systems Analysis (Austria)
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/125356
推荐引用方式 GB/T 7714	Cressman R,Hofbauer J. Measure Dynamics on a One-Dimensional Continuous Trait Space: Theoretical Foundations for Adaptive Dynamics.. 2004.