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

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y<br />

1<br />

0<br />

C<br />

−1<br />

−2 −1 0 1 2<br />

(a)λ=0: Singular solution in black.<br />

x<br />

y<br />

1<br />

0<br />

C<br />

−1<br />

−2 −1 0 1 2<br />

(b)λ=1: Equilibrium point at p+.<br />

Figure 1.1: The critical manifold (blue) C= C VdP for Van der Pol’s equation<br />

(1.3) together <strong>with</strong> the y-nullcline (dashed red) is shown. Double<br />

arrows indicate the <strong>fast</strong> flow <strong>and</strong> single arrows the <strong>slow</strong><br />

flow.<br />

Away from fold points the implicit function theorem applied to f (x, y,λ, 0)=<br />

0 locally provides a function h(y)= x so that C can be expressed as a graph.<br />

Hence the <strong>slow</strong> subsystem (1.5) can be more succinctly expressed as:<br />

˙y=g(h(y), y,λ, 0) (1.7)<br />

We shall also refer to the flow induced by (1.5),(1.7) as the <strong>slow</strong> flow. In Van der<br />

Pol’s equation we could solve the cubic equation y=c(x) for x on S a,− , S r <strong>and</strong> S a,+<br />

to obtain (1.7). It is more convenient in this case to use an alternative procedure<br />

to derive the <strong>slow</strong> flow. We implicitly differentiate f (x, y,λ, 0)=y−c(x)=0 <strong>with</strong><br />

respect toτ, then<br />

˙y= ˙xx 2 − ˙x= ˙x(x 2 − 1)<br />

Combining this result <strong>with</strong> the equation for ˙y we get:<br />

(x 2 − 1) ˙x=λ− x or ˙x=<br />

λ− x<br />

x 2 − 1<br />

x<br />

(1.8)<br />

Note that the <strong>slow</strong> flow is not well-defined for x=±1 as long asλ±1. In<br />

particular, existence <strong>and</strong> uniqueness theory for ODEs does not apply in this<br />

scenario. The same idea for deriving the <strong>slow</strong> flow also works for a general<br />

5

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