Parrondian Games in Discrete Dynamic Systems

Steve A. Mendoza, E. Peacock-López
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引用次数: 2

Abstract

An interesting problem in nonlinear dynamics is the stabilization of chaotic trajectories, assuming that such chaotic behavior is undesirable. The method described in this chapter is based on the Parrondo’s paradox, where two losing games can be alternated, yielding a winning game. The idea of alternating parameter values has been used in chemical systems, but for these systems, the undesirable behavior is not chaotic. In contrast, ecological relevant map in one and two dimensions, most of the time, can sustain chaotic trajectories, which we consider as undesirable behaviors. Therefore, we analyze several of such ecological relevant maps by constructing bifurcation diagrams and finding intervals in parameter space that satisfy the conditions to yield a desirable behavior by alternating two undesirable behaviors. The relevance of the work relies on the apparent generality of method that establishes a dynamic pattern of behavior that allows us to state a simple conjecture for two-dimensional maps. Our results are applicable to models of seasonality for 2-D ecological maps, and it can also be used as a stabilization method to control chaotic dynamics.
离散动态系统中的Parrondian博弈
非线性动力学中一个有趣的问题是混沌轨迹的稳定化,假设这种混沌行为是不希望出现的。本章描述的方法基于Parrondo悖论,即两个输的游戏可以交替进行,产生一个赢的游戏。交替参数值的思想已用于化学系统,但对于这些系统,不良行为不是混沌的。相比之下,一维和二维的生态相关地图在大多数情况下可以维持混沌轨迹,我们认为这是不可取的行为。因此,我们通过构造分岔图和在参数空间中寻找满足条件的区间来分析几个这样的生态相关图,通过交替两个不希望的行为来产生理想的行为。这项工作的相关性依赖于建立动态行为模式的方法的明显普遍性,这种模式允许我们对二维地图陈述一个简单的猜想。我们的研究结果适用于二维生态图的季节性模型,也可以作为控制混沌动力学的一种稳定化方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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