Can a basic knowledge of perturbation theory solve this?

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SUMMARY

The discussion centers on solving a set of coupled second-order ordinary differential equations (ODEs) involving functions f(u) and g(u), which are periodic and small in magnitude. Participants confirm that perturbation theory can be applied, emphasizing the importance of defining an appropriate ordering for the small parameters involved. The solution approach involves expanding the variables x and y in terms of a small parameter ε and equating terms of the same order to derive a hierarchy of equations. The use of Kovacic's algorithm with tools like Maple is suggested for finding Liouvillian solutions if applicable.

PREREQUISITES
  • Understanding of coupled ordinary differential equations (ODEs)
  • Familiarity with perturbation theory concepts
  • Knowledge of Liouvillian solutions and Kovacic's algorithm
  • Proficiency in using Maple for symbolic computation
NEXT STEPS
  • Research the application of perturbation theory in solving coupled ODEs
  • Learn about the derivation and implications of Liouvillian solutions
  • Explore the use of Kovacic's algorithm for finding solutions to second-order ODEs
  • Study the implementation of symbolic computation in Maple for solving differential equations
USEFUL FOR

Physicists, mathematicians, and engineers dealing with complex systems modeled by coupled differential equations, particularly those interested in perturbation methods and symbolic computation.

ozone
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Hello all,

I have boiled a very long physics problem down to the point that I need to solve the coupled equations

\frac{\partial^2 x}{\partial u^2} + xf(u) + yg(u) = 0

\frac{\partial^2 y}{\partial u^2} + yf(u) - xg(u) = 0

We may assume that|f| ,|g| << 1. and that both f and g are periodic on the same interval T, i.e. f(u) = f(u+T),g(u) = g(u+T)
I was wondering if this is something that could be solved with little knowledge of perturbation theory or if this was a very advanced problem, and I was wondering if anyone had any useful resources. So far I have found that this would be relatively easy to solve if they weren't coupled, but this is a level of complexity which is beyond me

Thank you.
 
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Set a=x+y, b=x-y
This should decouple your system.
 
I tried this substitution but I'm very certain it will not actually uncouple these ode's, unless I am missing a very interesting algebra trick
 
Oh sorry, I missed the minus sign in the second equation.
Hmm... it is impossible to decouple them with linear transformations.

Edit: Oh, complex numbers are great.
 
Last edited:
ozone said:
Hello all,

I have boiled a very long physics problem down to the point that I need to solve the coupled equations

\frac{\partial^2 x}{\partial u^2} + xf(u) + yg(u) = 0

\frac{\partial^2 y}{\partial u^2} + yf(u) - xg(u) = 0

We may assume that|f| ,|g| << 1. and that both f and g are periodic on the same interval T, i.e. f(u) = f(u+T),g(u) = g(u+T)
I was wondering if this is something that could be solved with little knowledge of perturbation theory or if this was a very advanced problem, and I was wondering if anyone had any useful resources. So far I have found that this would be relatively easy to solve if they weren't coupled, but this is a level of complexity which is beyond me

Thank you.

If you set z = x + iy and (EDIT:) w = f - ig then your system becomes
<br /> \frac{d^2 z}{d u^2} + w(u)z = 0<br />
which may be easier to analyze.
 
Last edited:
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pasmith said:
If you set z = x + iy and w = f + ig then your system becomes
<br /> \frac{d^2 z}{d u^2} + w(u)z = 0<br />
which may be easier to analyze.

Depending on w(u), it may still be difficult to find the general solution.
If this second order ODE admits Liouvillian solutions, they can be found using Kovacic' algorithm, you can do this with e.g. Maple.
 
ozone said:
Hello all,

I have boiled a very long physics problem down to the point that I need to solve the coupled equations

\frac{\partial^2 x}{\partial u^2} + xf(u) + yg(u) = 0

\frac{\partial^2 y}{\partial u^2} + yf(u) - xg(u) = 0

We may assume that|f| ,|g| &lt;&lt; 1. and that both f and g are periodic on the same interval T, i.e. f(u) = f(u+T),g(u) = g(u+T)
I was wondering if this is something that could be solved with little knowledge of perturbation theory or if this was a very advanced problem, and I was wondering if anyone had any useful resources. So far I have found that this would be relatively easy to solve if they weren't coupled, but this is a level of complexity which is beyond me

Thank you.

Yes you can probably use perturbation theory, but you have to first define your ordering. Its not enough that f and g are small. They have to be small compared to something.

As an example let's assume xg /\frac{\partial^2 x}{\partial u^2} is order \epsilon small. We also assume that x and y are of comparable magnitude, as are f and g. The validity of these assumptions depend on the problem, and you might have to alter the following approach depending on the problem. And its important to check that your final answer is consistent with this ordering.

With these assumptions we next expand x (and y) in terms of order \epsilon: x=\epsilon^0 x_0 + \epsilon^1 x_1 + \epsilon^2 x_2 + \dots. Here \epsilon is just an marker of smallness. We also note that \frac{\partial^2 }{\partial u^2} is order 1/\epsilon large and and it is helpful to write it as \frac{1}{\epsilon}\frac{\partial^2 }{\partial u^2}

Now we plug the expansions for x and y into the equation, and equate terms of the same order in \epsilon. This creates a hierarchy of equation that we can solve.

To lowest order we have:
\frac{\partial^2 x_0}{\partial u^2} = 0

\frac{\partial^2 y_0}{\partial u^2} = 0

The next order equation is
\frac{\partial^2 x_1}{\partial u^2} + x_0f(u) + y_0 g(u) = 0

\frac{\partial^2 y_1}{\partial u^2} + y_0f(u) - x_0 g(u) = 0

And all higher order equations are of this form:
\frac{\partial^2 x_j}{\partial u^2} + x_{j-1}f(u) + y_{j-1} g(u) = 0

\frac{\partial^2 y_j}{\partial u^2} + y_{j-1}f(u) - x_{j-1} g(u) = 0

Note that in each equation for x_j,y_j the terms x_{j-1},y_{j-1} are known from the previous equation.
 

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