Undergrad How to check chaotic system using Lyapunov

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Lyapunov exponents are essential for determining the chaotic behavior of a system, such as the Rossler system. By numerically solving the differential equations and calculating the Lyapunov exponents along a non-transient trajectory, one can identify chaos; a positive exponent indicates chaos. The chaotic nature of the system can depend on specific parameters and initial conditions, such as the values of a, b, and c. For practical guidance, resources like the website on Lyapunov exponents and the book "Practical Numerical Algorithms for Chaotic Systems" can be useful. Understanding these concepts is crucial for analyzing chaotic systems effectively.
ohaited
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Greetings!

Hey, can anyone help me? I need an explanation how can Lyapunov help me to check the system weather it is chaotic or not. Let say I have this equation Rossler System Eq.(1)

upload_2018-12-15_20-13-22.png


So how can you tell that the system have chaotic behavior or not? Does it depends on parameters? or from initial constant (a,b,c)? A general and specific clarification is needed. Because I have this paper research that talk about Rossler System Eq. (1) can have chaotic behavior when the initial a=b=0.2 and c= 5.7

Thanks, your consideration is appreciated!
 

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Could you please tell us the title of the paper and where/when it was published? It might help a lot to give you the best answer.
 
jim mcnamara said:
Could you please tell us the title of the paper and where/when it was published? It might help a lot to give you the best answer.
Hey there, sorry for not attaching the paper with my question. So here it is: Paper
 
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ohaited said:
So how can you tell that the system have chaotic behavior or not? Does it depends on parameters? or from initial constant (a,b,c)?

In short you can determine if a particular system is chaotic by solving the differential equations numerically and calculate the Lyapunov exponents along the (non-transient) trajectory. If there is at least one positive Lyapunov exponent then the trajectory is chaotic and hence the system for its given parameters and initial state is considered chaotic.

For a practical guide on how to calculate it you may be inspired by the description on http://sprott.physics.wisc.edu/chaos/lyapexp.htm. Way back at university I used Practical Numerical Algorithms for Chaotic Systems by Parker and Chua, but that is a bit old now (but most likely still relevant).
 
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