Understanding Lyaponov Time & Units

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In summary, Lyaponov time is defined as the inverse of the largest Lyapunov exponent in Wikipedia text. There is some confusion about the units of Lyaponov exponents, which are typically dimensionless. However, if the distance between nearby trajectories of a chaotic system grows like ##\exp (\lambda t)##, then ##\lambda## should have dimensions of reciprocal time. This is because the argument of an exponential function must be dimensionless. In papers, Lyapunov exponents are always reported as dimensionless, but for simulations, it is common to use dimensionless units.
  • #1
LagrangeEuler
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In wikipedia text Lyaponov time is defined as inverse of the largest Lyapunov exponent. I have some difficulties with the units. Lyaponov exponents are dimensionless? So Lyaponov time is also then dimensionless? Right? How then in wikipedia article we get Lyaponov time in time units? Could you get me some reasonable explanation?
 

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If the distance between nearby trajectories of a chaotic system grows like ##\exp (\lambda t)##, with ##\lambda## the Lyapunov exponent, then ##\lambda## should have dimensions of reciprocal time, shouldn't it? The argument of an exponential function has to be dimensionless, otherwise the terms of the expansion

##\exp (x) = 1 + x + \frac{1}{2}x^2 + \frac{1}{6}x^3 + \dots##

would have different dimensions.
 
  • #3
Thanks. But always in papers, I saw just dimensionless Lyapunov exponents.
 
  • #4
If you're simulating some theoretical dynamical system with a computer program, it doesn't really matter if you set the position coordinates, time and masses to be dimensionless.
 

1. What is Lyapunov time and how is it calculated?

Lyapunov time is a measure of the predictability of a chaotic system. It is calculated by finding the average time it takes for two initially close points in a system to diverge by a certain threshold value.

2. What units are used to measure Lyapunov time?

Lyapunov time is typically measured in units of time, such as seconds or minutes. However, it can also be measured in terms of the number of iterations or steps in a system.

3. How does Lyapunov time relate to chaos theory?

Lyapunov time is a key concept in chaos theory, as it helps to quantify the unpredictability of chaotic systems. It is used to determine the stability of a system and to identify the presence of chaos.

4. Can Lyapunov time be negative?

No, Lyapunov time cannot be negative. It is always a positive value, as it represents the average time it takes for two points in a system to diverge.

5. How is Lyapunov time used in real-world applications?

Lyapunov time has many practical applications, such as in weather forecasting, stock market analysis, and population dynamics. It is also used in the study of complex systems, such as the behavior of galaxies and the human brain.

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