Series solution to coupled nonlinear ODEs

In summary: These equations can be solved iteratively to obtain higher order corrections to the leading order solution. With this method, you can obtain the solution for x \ll 1 as desired. I hope this helps! In summary, to solve the system of three coupled nonlinear ODEs using a series expansion for x \ll 1, you can use the method of perturbation by breaking down the system into a linear and nonlinear part and solving for each order in x. This can be achieved by substituting a series
  • #1
daso
8
1
Hi,

I have a system of three coupled nonlinear ODEs:

[tex] \frac{d}{du}(nu)=exp(-\phi), [/tex]

[tex] u\frac{du}{dx}=\frac{d\phi}{dx}-\frac{u}{n}exp(-\phi), [/tex]

[tex] \frac{d^2 \phi}{dx^2}=n-exp(-\phi), [/tex]

with boundary conditions

[tex] \phi=\phi'=u=n=0 \text{ at } x=0 [/tex]

Does anyone know, or have references to, how to solve these with a series expansion? I am only interested in the solution for [tex]x \ll 1 [/tex], so higher order terms can be neglected.

Thankful for any help!

/Daniel
 
Physics news on Phys.org
  • #2


Hi Daniel,

Thank you for sharing your system of three coupled nonlinear ODEs. To solve this system using a series expansion, you can use the method of perturbation. This involves breaking down the system into a linear and nonlinear part, and then solving for the solution using a series expansion in terms of a small parameter, in this case x \ll 1.

First, we can rewrite the system as:

\frac{d}{du}(nu)=exp(-\phi),

\frac{d}{dx}(u^2)=\frac{d\phi}{dx}-\frac{u^2}{n}exp(-\phi),

\frac{d^2 \phi}{dx^2}=n-exp(-\phi),

with boundary conditions

\phi=\phi'=u=n=0 \text{ at } x=0

Next, we can make the substitution u = u_0 + u_1x + u_2x^2 + ..., \phi = \phi_0 + \phi_1x + \phi_2x^2 + ... and n = n_0 + n_1x + n_2x^2 + ..., where u_0, \phi_0 and n_0 are the initial conditions at x=0. We can then substitute these into the system and equate terms of the same order in x to obtain a set of equations for each order.

For the linear terms, we have:

\frac{d}{du}(nu_0)=1,

\frac{d}{dx}(u_0^2)=\frac{d\phi_0}{dx},

\frac{d^2 \phi_0}{dx^2}=n_0-1,

with boundary conditions

\phi_0=\phi_0'=u_0=n_0=0 \text{ at } x=0

These equations can be solved analytically to obtain the leading order solution for x \ll 1. For the nonlinear terms, we have:

\frac{d}{du}(nu_1)=exp(-\phi_0),

\frac{d}{dx}(2u_0u_1)=\frac{d\phi_1}{dx}-\frac{2u_0u_1}{n_0}exp(-\phi_0),

\frac{d^2 \phi_
 
  • #3


Hi Daniel,

Thank you for sharing your problem with us. Solving coupled nonlinear ODEs can be challenging, but using a series expansion can simplify the process. The idea behind a series solution is to approximate the solution as a sum of infinite terms, each with a different power of x. In your case, you are interested in the solution for x \ll 1, which means that higher order terms can be neglected. This is known as a perturbation method, where the solution is found by adding small corrections to an approximate solution.

To solve your system of equations using a series expansion, you can follow these steps:

1. Rewrite your equations in a form that is suitable for a series solution. This usually involves isolating the highest derivative term on one side of the equation, with all other terms on the other side.

2. Assume a series solution of the form u=u_0+u_1x+u_2x^2+..., \phi=\phi_0+\phi_1x+\phi_2x^2+..., n=n_0+n_1x+n_2x^2+...

3. Substitute the series solution into your equations and equate coefficients of the same powers of x. This will give you a system of equations for the coefficients u_i, \phi_i, and n_i.

4. Solve the system of equations for the coefficients, starting with the lowest order terms and working your way up.

5. Once you have the coefficients, substitute them back into your series solution to get the approximate solution for x \ll 1.

Some references that may be helpful for solving coupled nonlinear ODEs using a series expansion are "Perturbation Methods" by E.J. Hinch and "Introduction to Perturbation Methods" by Mark H. Holmes. You can also find many online resources and examples that may be useful in understanding and solving your problem.

I hope this helps and good luck with your problem!

Best regards,
 

1. What is a series solution to coupled nonlinear ODEs?

A series solution to coupled nonlinear ODEs is a method for finding an approximate solution to a system of ordinary differential equations (ODEs) that cannot be solved analytically. It involves expressing the solution as a series expansion and solving for the coefficients of the series.

2. When is a series solution to coupled nonlinear ODEs useful?

A series solution to coupled nonlinear ODEs is useful when the system of equations is difficult or impossible to solve analytically. It can also be used to provide an approximate solution when an exact solution is not necessary.

3. What is the process for finding a series solution to coupled nonlinear ODEs?

The process for finding a series solution to coupled nonlinear ODEs involves expressing the solution as a series expansion, substituting the series into the equations, and solving for the coefficients using a recurrence relation or other method. The solution is then found by summing the series to the desired degree of accuracy.

4. What are the limitations of a series solution to coupled nonlinear ODEs?

Series solutions to coupled nonlinear ODEs are only valid for a certain range of initial conditions and may not accurately represent the true solution for all values of the independent variable. They also become increasingly complex and computationally challenging as the desired degree of accuracy increases.

5. How does a series solution to coupled nonlinear ODEs compare to other numerical methods?

Compared to other numerical methods, a series solution to coupled nonlinear ODEs is generally more accurate and provides a more streamlined approach to solving a system of equations. However, it may not always be the most efficient method and can become computationally intensive for higher degrees of accuracy.

Similar threads

Replies
1
Views
1K
Replies
4
Views
1K
Replies
2
Views
2K
  • Differential Equations
Replies
6
Views
1K
  • Differential Equations
Replies
1
Views
2K
  • Differential Equations
Replies
4
Views
1K
Replies
2
Views
1K
  • Differential Equations
Replies
7
Views
2K
Replies
2
Views
1K
  • Differential Equations
Replies
1
Views
2K
Back
Top