Rayleigh's differential equation

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SUMMARY

Rayleigh's differential equation (DE) is defined as y'' - μy' + (μ(y')^3)/3 + y = 0, where μ is a positive real parameter. The discussion focuses on numerically solving this equation using the classic Runge-Kutta method. Participants clarify that μ can be set to any value, with μ = 1 suggested for computations. The transformation of Rayleigh's DE into a system of first-order differential equations is also outlined, facilitating numerical solutions.

PREREQUISITES
  • Understanding of ordinary differential equations (ODEs)
  • Familiarity with numerical methods, specifically the Runge-Kutta method
  • Knowledge of phase diagrams in dynamical systems
  • Basic skills in programming or using computational tools for numerical analysis
NEXT STEPS
  • Study the implementation of the Runge-Kutta method for solving ODEs
  • Explore numerical methods for phase diagram generation
  • Learn about the properties and applications of Rayleigh's differential equation
  • Investigate the Bessel differential equation for comparative analysis
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Mathematicians, physicists, and engineers involved in numerical analysis, particularly those working with differential equations and dynamical systems.

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Well, i am asked to numerically solve it and produce a phase diagram.
Should its value be given to me?
 
I guess it should, so you're free to choose any value you want: Take \mu =1 and solve it numerically.
 
You're right , it was supposed to be given.
Rayleigh's DE is y''-\mu y' + \frac{\mu (y')^3}{3} + y = 0
By rearranging it to a system of DEs, you get
<br /> y_1 = y , y_1&#039; = y_2 \\<br /> y_2&#039; = \mu y_2 - \frac{\mu (y_2)^3}{3} - y_1<br />

So i have only the derivative of y2 , i.e. the 2nd derivative of y1.
Since i don't have an analytical description of y2 , how do i compute it with specific parameters, according to the numerical method.
For example, for the classic Runge Kutta method,where f = y'
<br /> k_1 = hf(x_n,y_n) = hy_2(n)\\<br /> k_2 = hf(x_n + 0.5h,y_n + 0.5k_1) = ?<br />
I should numerically approximate the intermmediate values as well?
 

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