Discrete computation using a perturbed heteroclinic network

Peter Ashwin; Jon Borresen

doi:10.1016/j.physleta.2005.08.013

Noise-induced switching near a depth two heteroclinic network and an application to Boussinesq convection

Chaos An Interdisciplinary Journal of Nonlinear Science ◽

10.1063/1.3439320 ◽

2010 ◽

Vol 20 (2) ◽

pp. 023133 ◽

Cited By ~ 4

Author(s):

Peter Ashwin ◽

Olga Podvigina

Keyword(s):

Heteroclinic Network

Download Full-text

A heteroclinic network in mode interaction with symmetry

Dynamical Systems ◽

10.1080/14689367.2010.506183 ◽

2010 ◽

Vol 25 (3) ◽

pp. 359-396 ◽

Cited By ~ 6

Author(s):

Sofia B.S.D. Castro ◽

Isabel S. Labouriau ◽

Olga Podvigina

Keyword(s):

Mode Interaction ◽

Heteroclinic Network

Download Full-text

"Large" strange attractors in the unfolding of a heteroclinic attractor

Discrete and Continuous Dynamical Systems ◽

10.3934/dcds.2021193 ◽

2021 ◽

Vol 0 (0) ◽

pp. 0

Author(s):

Alexandre Rodrigues

Keyword(s):

Strange Attractor ◽

Invariant Manifolds ◽

Strange Attractors ◽

Positive Lebesgue Measure ◽

Dimensional Sphere ◽

3 Dimensional ◽

Srb Measures ◽

The Family ◽

Parameter Values ◽

Heteroclinic Network

<p style='text-indent:20px;'>We present a mechanism for the emergence of strange attractors in a one-parameter family of differential equations defined on a 3-dimensional sphere. When the parameter is zero, its flow exhibits an attracting heteroclinic network (Bykov network) made by two 1-dimensional connections and one 2-dimensional separatrix between two saddles-foci with different Morse indices. After slightly increasing the parameter, while keeping the 1-dimensional connections unaltered, we concentrate our study in the case where the 2-dimensional invariant manifolds of the equilibria do not intersect. We will show that, for a set of parameters close enough to zero with positive Lebesgue measure, the dynamics exhibits strange attractors winding around the "ghost'' of a torus and supporting Sinai-Ruelle-Bowen (SRB) measures. We also prove the existence of a sequence of parameter values for which the family exhibits a superstable sink and describe the transition from a Bykov network to a strange attractor.</p>

Download Full-text

Dynamics near a heteroclinic network

Nonlinearity ◽

10.1088/0951-7715/18/1/019 ◽

2004 ◽

Vol 18 (1) ◽

pp. 391-414 ◽

Cited By ~ 33

Author(s):

Manuela A D Aguiar ◽

Sofia B S D Castro ◽

Isabel S Labouriau

Keyword(s):

Heteroclinic Network

Download Full-text

Predicting the separation of time scales in a heteroclinic network

Applied Mathematics and Nonlinear Sciences ◽

10.2478/amns.2019.1.00024 ◽

2019 ◽

Vol 4 (1) ◽

pp. 279-288 ◽

Cited By ~ 5

Author(s):

Maximilian Voit ◽

Hildegard Meyer-Ortmanns

Keyword(s):

Time Scales ◽

Volterra Equations ◽

Heteroclinic Cycle ◽

Slow Oscillations ◽

Structural Hierarchy ◽

Branching Points ◽

Heteroclinic Connection ◽

Fast Oscillations ◽

Basic Level ◽

Heteroclinic Network

AbstractWe 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.

Download Full-text