Nonlinear systems of differential equations

Click For Summary
SUMMARY

The discussion focuses on solving the Rossler equations, defined as dx/dt=−y−z, dy/dt=x+ay, dz/dt=b+z(x−c) with parameters a=0.2, b=0.2, c=5.7, and initial conditions x(0)=y(0)=z(0)=0. The main objective is to estimate the maximum time tmax such that the difference between two solutions v1(t) and v2(t) remains within a specified bound. Participants suggest solving the equations numerically first, then linearizing the system to compare results, emphasizing the importance of numerical methods in understanding nonlinear dynamics.

PREREQUISITES
  • Understanding of nonlinear differential equations
  • Familiarity with numerical methods for solving differential equations
  • Knowledge of linearization techniques in dynamical systems
  • Experience with mathematical modeling and analysis
NEXT STEPS
  • Explore numerical methods for solving nonlinear differential equations using tools like MATLAB or Python's SciPy library
  • Study linearization techniques and their applications in dynamical systems
  • Research the properties of the Rossler attractor and its implications in chaos theory
  • Learn about stability analysis in nonlinear systems to understand the behavior of solutions
USEFUL FOR

Mathematicians, physicists, and engineers interested in nonlinear dynamics, chaos theory, and numerical analysis of differential equations will benefit from this discussion.

abbii42
Messages
1
Reaction score
0
The complete question I've been given:
The Rossler equations are formally defined as
dx/dt=−y−z
dy/dt=x+ay
dz/dt=b+z(x−c).
Let us suppose that a=0.2, b=0.2, c=5.7, x(0)=y(0)=z(0)=0, t∈[0,400].
Let v1(t) be the solution to the given initial value problem, and let v2(t) be the solution of the initial value problem with x(0)=0.001, y(0)=z(0)=0. Please find (analytically an estimate of the value of tmax>0 such that |v1(t)-v2(t)|<=1 for all t∈[0,tmax]. You may assume that max{|x(t)|,|y(t)|,|z(t)|}<=25 for all t.

Do I need to actually solve the equations and if so how?
If i don't then what do I need to do? would approximating the system by a linear one be in the right direction?

I've tried literally everything i can think of to solve the equations (I'm not going to put it all down here but suffice to say i got nowhere). But I'm not actually sure i should be solving them at all. If i estimate as a linear system I'm fairly sure I could solve it, that's not the problem, it's whether or not that would give me the answer i need.
 
Physics news on Phys.org
Ok, this is what I'd do. You mentioned linearizing it right? Yeah well I'm not sure about that. So first, just solve it numerically to get the answer. Then linearize it and compute the answer and then compare the numerically computed answer to the linearized answer.
 

Similar threads

Replies
6
Views
3K
Replies
3
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
Replies
8
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
Replies
6
Views
1K
Replies
7
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
Replies
2
Views
1K