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arxiv: 1709.03140 · v1 · pith:FL43MNXJnew · submitted 2017-09-10 · 🧮 math.DS

Attractors in complex networks

classification 🧮 math.DS
keywords attractorcorrespondingeigenvaluesheteroclinicpartattractingattractorsbecause
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In the framework of the generalized Lotka Volterra model, solutions representing multispecies sequencial competition can be predictable with high probability. In this paper, we show that it occurs because the corresponding "heteroclinic channel" forms part of an attractor. We prove that, generically, in an attracting heteroclinic network involving a finite number of hyperbolic and non-resonant saddle-equilibria whose linearization has only real eigenvalues, the connections corresponding to the most positive expanding eigenvalues form a part of an attractor (observable in numerical simulations).

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