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Predicting the separation of time scales in a heteroclinic network
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Predicting the separation of time scales in a heteroclinic network
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Journal Article
Predicting the separation of time scales in a heteroclinic network
2019
Overview
We consider a heteroclinic network in the framework of winnerless competition, realized by generalized Lotka-Volterra equations. By an appropriate choice of predation rates we impose a structural hierarchy so that the network consists of a heteroclinic cycle of three heteroclinic cycles which connect saddles on the basic level. As we have demonstrated in previous work, the structural hierarchy can induce a hierarchy in time scales such that slow oscillations modulate fast oscillations of species concentrations. Here we derive a Poincaré map to determine analytically the number of revolutions of the trajectory within one heteroclinic cycle on the basic level, before it switches to the heteroclinic connection on the second level. This provides an understanding of which parameters control the separation of time scales and determine the decisions of the trajectory at branching points of this network.
Publisher
Sciendo,De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
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