一个长期,缓慢变化的短暂动态的框架
Ankai Liu1, Felicia Maria G Magpantay2, Kenzu Abdella3
1Department of Mathematics and Statistics, York University, Toronto, ON, M3J 1P3, Canada.
Mathematical biosciences and engineering : MBE
|July 28, 2023
概括
动态系统中的短暂中心产生极长和缓慢的短暂行为,对于理解生态和流行病学模型至关重要. 这些特殊点及其轨迹的数学特征,揭示了它们在现实世界应用中的重要性.
科学领域:
- 应用动态系统应用动态系统
- 数学生物学 数学生物学
- 理论生态学理论生态学
- 流行病学 流行病学
背景情况:
- 传统的动态系统分析通常优先考虑非对称的行为,如平衡和周期性解决方案.
- 然而,重要的现实世界现象,如人口动态和疾病传播,表现出长期的短暂阶段.
- 这些短暂的动态,虽然是暂时的,但可能对系统结果产生重大影响.
研究的目的:
- 在动态系统中数学定义和描述'过渡中心'.
- 探索源自过渡中心的轨迹的特性.
- 开发识别和验证过渡中心及其可达性的方法.
主要方法:
- 动态系统属性的数学分析.
- 研究来自特定状态空间点的前进和后退轨迹.
- 导出识别过渡中心的条件及其可达性.
主要成果:
- 确定在特定条件下,一个过渡中心的整个轨迹 (前进和后退) 和极限点也是过渡中心.
- 制定可验证的标准来识别过渡中心.
- 证明了在生态和流行病学模型中观察到的长时间过渡是由这些过渡中心产生的.
结论:
- 过渡中心对于理解应用系统中的长期过渡动态至关重要.
- 提出的数学框架为分析和预测这些重要现象提供了工具.
- 这一理论为生态和流行病学建模提供了关键的见解,解释了观察到的长期短暂行为.
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