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multiple time scale dynamics with two fast variables and one slow ...

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trajectory flows along the completely unstable <strong>slow</strong> manifold Cm,ǫ. Different<br />

types of MMOs seem to occur very frequently in single- <strong>and</strong> multi-parameter bi-<br />

furcation problems; see [27] for a recent example. This contrasts <strong>with</strong> most work<br />

on the analysis of MMOs [76, 98] that focuses on identifying the mechanism<br />

for generating MMOs in an example. The MMOs in the FitzHugh-Nagumo<br />

equation show that a <strong>fast</strong>-<strong>slow</strong> system <strong>with</strong> three or more <strong>variables</strong> can exhibit<br />

MMOs of different types <strong>and</strong> that <strong>one</strong> should not expect a priori that a single<br />

mechanism suffices to explain all the MMO <strong>dynamics</strong>.<br />

5.7 Additions<br />

We will give some additional details of the computations for the invariant man-<br />

ifolds. The <strong>slow</strong> manifold Cl,ǫ is of saddle type. Hence a special algorithm is<br />

needed to compute it. We used the boundary value approach (BVP) described<br />

in [55] <strong>with</strong> boundary conditions well-away from the section<br />

Σ0.09={(x1, x2, y)∈R 3 : y=0.09}<br />

near Cl. The computed piece of Cl,ǫ was then intersected <strong>with</strong>Σ0.09. At the in-<br />

tersection point the linearization of (5.1) is used to compute the eigenspaces<br />

E s (Cl,ǫ) <strong>and</strong> E u (Cl,ǫ). The stable manifold W s (q) was computed by considering a<br />

line segment L⊂E s (q) close to q such that<br />

{φt(L), t→∞}∪{φt(L), t→−∞}≈W s (q)<br />

whereφt denotes the flow of (5.1). Choosing a mesh on L we can use backward<br />

integration to trace out trajectories in W s (q) that intersectΣ0.09. These intersec-<br />

tions have been recorded <strong>and</strong> give W s (q) in Figure 5.3(a)-5.3(c). The integration<br />

143

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