Dirac大各向同性结构下的保守复制子和Lotka-Volterra方程

IF 1 4区 数学 Q3 MATHEMATICS, APPLIED Journal of Geometric Mechanics Pub Date : 2018-07-31 DOI:10.3934/jgm.2020008
Hassan Najafi Alishah
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引用次数: 5

摘要

我们引入了一种算法来寻找给定复制器方程的可能运动常数。该算法受到狄拉克几何的启发,并使用狄拉克大各向同性结构提供了具有此类运动常数的复制器方程的哈密顿描述,直至时间重新参数化。利用复制子方程与Lotka-Volterra (LV)方程的等价性,扩大了保守LV方程的集合。我们的方法推广了众所周知的规范变换用于偏对称LV系统的相互作用矩阵。在捕食者-猎物模型中,我们的方法确实允许不同捕食者和不同猎物之间的相互作用。
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Conservative replicator and Lotka-Volterra equations in the context of Dirac\big-isotropic structures
We introduce an algorithm to find possible constants of motion for a given replicator equation. The algorithm is inspired by Dirac geometry and a Hamiltonian description for the replicator equations with such constants of motion, up to a time re-parametrization, is provided using Dirac$\backslash$big-isotropic structures. Using the equivalence between replicator and Lotka-Volterra (LV) equations, the set of conservative LV equations is enlarged. Our approach generalizes the well-known use of gauge transformations to skew-symmetrize the interaction matrix of a LV system. In the case of predator-prey model, our method does allow interaction between different predators and between different preys.
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来源期刊
Journal of Geometric Mechanics
Journal of Geometric Mechanics MATHEMATICS, APPLIED-PHYSICS, MATHEMATICAL
CiteScore
1.70
自引率
12.50%
发文量
23
审稿时长
>12 weeks
期刊介绍: The Journal of Geometric Mechanics (JGM) aims to publish research articles devoted to geometric methods (in a broad sense) in mechanics and control theory, and intends to facilitate interaction between theory and applications. Advances in the following topics are welcomed by the journal: 1. Lagrangian and Hamiltonian mechanics 2. Symplectic and Poisson geometry and their applications to mechanics 3. Geometric and optimal control theory 4. Geometric and variational integration 5. Geometry of stochastic systems 6. Geometric methods in dynamical systems 7. Continuum mechanics 8. Classical field theory 9. Fluid mechanics 10. Infinite-dimensional dynamical systems 11. Quantum mechanics and quantum information theory 12. Applications in physics, technology, engineering and the biological sciences.
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