Chaos, Bifurcations And Fractals Around Us: A Brief Introduction, Series A, Vol. 47

4.8. Lyapunov Exponents

4.8. Lyapunov Exponents

Exponential dependence on initial conditions means that if we take two initial points that are separated from each other by a small distance d 0 at t=0, then for increasing time t the trajectories that start at these points diverge exponentially. It is schematically illustrated in Figure 4.22.


Fig. 4.22: Schematic illustration of the exponential dependence on initial conditions.

The dependence of the distance d between two trajectories upon time t, as well as their initial separation d 0 at t= t 0, is assumed to be governed by the exponential function


Exponent denoted ? is an indicator of the sensitivity to small perturbations of initial conditions, and is referred to as Lyapunov exponent. It may be expressed in the form

(4.5)

If ?>0, the trajectories move apart from each other (as in Figure 4.22); otherwise, if ?<0, the trajectories converge.

Mathematics proves that our system possesses three Lyapunov exponents (the phase space is three-dimensional). At the same time, since we deal with a damped (dissipative) system, the following condition is satisfied


We define the motion as chaotic if at least one of the Lyapunov exponents is positive. If ? 1>0, two other exponents satisfy the condition ? 2+ ? 3<0 (see references [9, 11, 13, 32]).

Thus, the trajectories of chaotic motion do not escape to infinity but preserve a recurrence property. They move apart from each other, and then converge...

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