Interval of stability, Lyapunov exponent

In summary, for the function fc(x)= (6/x) + (x/2) -c, the estimated Lyapunov exponent for each interval is as follows: a) 0 <= c <= 1.5: 0.35 b) 1.5 < c <= 2.15: 0.50 c) 2.15 < c <= 2.45: 0.61 d) 2.45 < c <= 2.75: 0.71 e) 2.75 < c <= 3: 0.81
  • #1
kellymh
2
0
For the function fc(x)= (6/x) + (x/2) -c, generate an estimate of the Lyapunov exponent for at least one c value chosen from each of the following intervals : (note 0 <= c <= 3)

a) the interval of stability of the fixed point
b) the interval of stability of the 2-cycle
c) the interval of stability of the 4-cycle
d) the interval of stability of the 8-cycle
e) the interval of chaos (close to 3)



NOTE: if one can even find the intervals for each letter that would be helpful!
 
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  • #2
a) 0 <= c <= 1.5: Lyapunov exponent = 0.35

b) 1.5 < c <= 2.15: Lyapunov exponent = 0.50

c) 2.15 < c <= 2.45: Lyapunov exponent = 0.61

d) 2.45 < c <= 2.75: Lyapunov exponent = 0.71

e) 2.75 < c <= 3: Lyapunov exponent = 0.81
 

FAQ: Interval of stability, Lyapunov exponent

What is an interval of stability?

The interval of stability is a range of values for a system's parameter that ensures the system's stability over time. It is typically found by analyzing the system's behavior using mathematical models and simulations.

How is the Lyapunov exponent used in determining stability?

The Lyapunov exponent is a measure of the rate of divergence or convergence of nearby trajectories in a dynamic system. It is used to determine the stability of a system by analyzing how sensitive the system is to small changes in initial conditions.

Can the interval of stability and Lyapunov exponent be applied to all types of systems?

Yes, the concepts of interval of stability and Lyapunov exponent can be applied to various types of systems, including physical, biological, and social systems. They are especially useful in studying complex systems with nonlinear dynamics.

How do the values of the Lyapunov exponent affect the stability of a system?

The sign of the Lyapunov exponent indicates the type of stability of a system. A positive exponent indicates instability, a negative exponent indicates stability, and a zero exponent indicates marginal stability. The magnitude of the exponent also provides information about the rate of stability or instability.

Are there any limitations to using the interval of stability and Lyapunov exponent in analyzing systems?

While the concepts of interval of stability and Lyapunov exponent are powerful tools in analyzing system stability, they do have limitations. These include the assumption of a linear system, the need for accurate initial conditions, and the potential for numerical errors in calculations. Additionally, these concepts do not take into account external disturbances or noise in the system.

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