How many Lyapunov exponents does an n-dimensional system have?
Conditions
- Stated for an -dimensional dynamical system.
- The clip does not discuss degeneracies or zero exponents separately.
Reasoning, step by step
- Identify the dimension of the state space.
- Recognize that there is one Lyapunov exponent associated with each dimension.
- Conclude that an -dimensional system has Lyapunov exponents.
Example
The slide states "-dim system has ". The speaker says there are as many stable and unstable manifolds, and as many Lyapunov exponents, as there are state space dimensions.
Common misconceptions
- Assuming that a system has only one Lyapunov exponent regardless of its dimension.
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For dissipative systems, the total sum of all Lyapunov exponents is negative. This expresses net contraction of phase-space volume even if some individual directions expand.
Conditions: System is dissipative.
Local Lyapunov exponents are defined like global Lyapunov exponents but without taking the long-time limit , so they retain more spatial/local information about stretching.
Conditions: Comparison is with global Lyapunov exponents; The limit is omitted
Having a positive Lyapunov exponent is presented as a signature of chaos, but the lecturer explicitly says it is not a necessary and sufficient condition for chaos.
Conditions: Discussed in the context of identifying chaos via Lyapunov exponents.; The slide explicitly marks the condition as “not NASC!”.
A negative Lyapunov exponent corresponds to compression of state space along stable manifolds, while a positive Lyapunov exponent corresponds to stretching of state space along unstable manifolds. The lecture uses these signs to distinguish contraction toward a fixed point from expansion away to infinity.
Conditions: Applies to the manifold directions discussed in the clip.; The clip does not treat mixed-sign spectra in detail before ending.
Lyapunov exponents are ordered by value from largest to smallest, not by absolute value. Thus is the exponent closest to positive infinity and is the exponent closest to negative infinity.
Conditions: n is the dimension of the dynamical system; Ordering is by real value, not magnitude
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