Maple Solve Metachaotic Lorenz Equations with C++ & Maple

  • Thread starter Thread starter eddo
  • Start date Start date
  • Tags Tags
    Lorenz
AI Thread Summary
A C++ program has been developed to implement the Runge-Kutta method of order 4 on a system of three equations, specifically the Lorenz equations, with results graphed using Maple. The focus is on finding initial conditions that yield a metachaotic result—starting chaotic but eventually stabilizing. Suggested strategies include varying initial conditions for the three equations (x, y, z) to observe their impact on system behavior, and utilizing bifurcation diagrams to visualize how changes in parameters, particularly r, influence the transition from chaos to stability. Techniques like sensitivity analysis and parameter estimation are recommended to identify key parameters and streamline the search for effective initial conditions. Overall, the exploration of metachaotic behavior in the Lorenz equations is encouraged, with optimism for successful experimentation and analysis.
eddo
Messages
48
Reaction score
0
As part of my summer job working with one of my professors, I've written a C++ program to do Runge-Kutta of order 4 on a system of 3 equations. I've been playing around with it using the Lorenz equations and using maple to graph the results. I was wondering if anyone could tell me some initial conditions to use to get a metachaotic result (one which starts chaotic but than settles down). I've read that this can be accomplished with sigma=10, r=21, and b=8/3 if the right starting conditions are used, but i don't have a lot of time to play around with the initial conditions. Thanks for any help.
 
Physics news on Phys.org


That's really impressive that you were able to write a C++ program to solve the Lorenz equations and use Maple to graph the results! It's always great to see students taking on challenging projects and using their skills to solve complex problems.

As for your question about finding initial conditions for a metachaotic result, I can offer a few suggestions. First, you can try varying the initial conditions for each of the three equations (x, y, and z) and see how that affects the overall behavior of the system. This way, you can get a sense of which initial conditions lead to a chaotic result and which lead to a more stable result.

Another approach is to use a bifurcation diagram, which shows how the behavior of the system changes as a parameter (in this case, r) is varied. By plotting the values of r against the resulting behavior, you can see where the system transitions from chaotic to stable. From there, you can choose initial conditions that correspond to the desired behavior.

I would also recommend looking into techniques such as sensitivity analysis and parameter estimation, which can help you identify the most influential parameters and initial conditions in your system. This can save you time in trying out different combinations and provide more insight into the dynamics of the system.

Overall, it's great that you're exploring the metachaotic behavior of the Lorenz equations and I'm sure with some further experimentation and analysis, you'll be able to find the right initial conditions for your desired result. Best of luck with your project!
 
Back
Top