How Do You Solve a Differential Equation Using the Frobenius Method?

In summary: I don't want to write all the general results down in all generality, because for now we have a special case in hand, where many simplifications occurred.I hope this helps you to understand the Frobenius method and its application to the example.
  • #1
cjc0117
94
1

Homework Statement



Solve [itex]x(1-x)\frac{d^{2}y}{dx^{2}}-2\frac{dy}{dx}+2y=0[/itex] using the Frobenius Method.

Homework Equations



[itex]R(x)\frac{d^{2}y}{dx^{2}}+\frac{1}{x}P(x)\frac{dy}{dx}+\frac{1}{x^{2}}V(x)y=0[/itex]

[itex]R_{0}s(s-1)+P_{0}s+V_{0}=0[/itex]

[itex]y=\sum^{∞}_{m=0}a_{m}x^{m+s}[/itex]

[itex]y'=\sum^{∞}_{m=0}a_{m}(m+s)x^{m+s-1}[/itex]

[itex]y''=\sum^{∞}_{m=0}a_{m}(m+s)(m+s-1)x^{m+s-2}[/itex]

The Attempt at a Solution



First, I divided everything by x. The diff. eq. becomes:

[itex](1-x)\frac{d^{2}y}{dx^{2}}-\frac{2}{x}\frac{dy}{dx}+\frac{2}{x}y=0[/itex]

It follows that [itex]R(x)=1-x[/itex], [itex]P(x)=-2[/itex], and [itex]V(x)=2x[/itex]. Thus, [itex]R_{0}=1[/itex], [itex]P_{0}=-2[/itex], and [itex]V_{0}=0[/itex]. The indicial roots are then [itex]s=0[/itex] and [itex]s=3[/itex].I then plug [itex]y=\sum^{∞}_{m=0}a_{m}x^{m+s}[/itex] and its derivatives into the original diff. eq. and find the recurrence relation:

[itex](1-x)\sum^{∞}_{m=0}a_{m}(m+s)(m+s-1)x^{m+s-2}-\frac{2}{x}\sum^{∞}_{m=0}a_{m}(m+s)x^{m+s-1}+\frac{2}{x}\sum^{∞}_{m=0}a_{m}x^{m+s}=0[/itex]

[itex]\sum^{∞}_{m=0}a_{m}(m+s)(m+s-1)x^{m+s-2}-\sum^{∞}_{m=0}a_{m}(m+s)(m+s-1)x^{m+s-1}-2\sum^{∞}_{m=0}a_{m}(m+s)x^{m+s-2}+2\sum^{∞}_{m=0}a_{m}x^{m+s-1}=0[/itex]

[itex]\sum^{∞}_{m=0}a_{m+1}(m+s+1)(m+s)x^{m+s-1}-\sum^{∞}_{m=0}a_{m}(m+s)(m+s-1)x^{m+s-1}-2\sum^{∞}_{m=0}a_{m+1}(m+s+1)x^{m+s-1}+2\sum^{∞}_{m=0}a_{m}x^{m+s-1}=0[/itex]

[itex]a_{m+1}(m+s+1)(m+s-2)-a_{m}[(m+s)(m+s-1)-2]=0[/itex]

[itex]a_{m+1}=a_{m}[/itex]

I don't understand what this result means (if I even did it right) and how I would continue from here.
 
Physics news on Phys.org
  • #2
It suggests that there is a single coefficient 'a' for all the terms in the series, or

y = a * SUM (x^(m+s)) for m = 0 to INF
 
  • #3
It's nearly correct (as far as I can infer from the analytic solution, I got with Mathematica, and which you will easily find when you have completed your work with the Frobenius method). You simply forgot the first thing you always should figure out first, namely to get [itex]s[/itex]!

In the most simple case you should get two solutions for [itex]s[/itex] and your method of comparison of coefficients gives the solution as a (generalized power series) for each of these solutions (there are exceptions, where in this way you get only one solution, but this is not the case here) and you found then two linearly independent solutions of your 2nd-order ODE and thus already the general solution.

In your case you can even resum the very simple series to closed analystical expressions.
 
  • #4
Thanks for the replies. I had found the two s values to be [itex]s_{1}=3[/itex] and [itex]s_{2}=0[/itex]. [itex]s_{1}-s_{2}[/itex] is equal to a positive integer. I thought in this case, there are two independent solutions:

[itex]y_{1}=\sum^{∞}_{m=0}a_{m}x^{m+s_{1}}[/itex]
(Eqn. 1)

[itex]y_{2}=ky_{1}ln(x)+\sum^{∞}_{m=0}b_{m}x^{m+s_{2}}[/itex]
(Eqn. 2)

I thought this was because when [itex]s_{1}-s_{2}[/itex] [itex](s_{1}>s_{2})[/itex] is equal to a positive integer, you end up getting a trivial solution when trying to find an independent solution in the form of Eqn. 1 for [itex]s_{2}[/itex].

However, the recurrence relation [itex]a_{m}=a_{m+1}[/itex] does not result in a trivial solution for either [itex]s_{1}[/itex] or [itex]s_{2}[/itex] when using independent solutions in the form of Eqn. 1. The general solution for this particular problem seems to be:

[itex]y=a_{0}\sum^{∞}_{m=0}x^{m+3}+b_{0}\sum^{∞}_{m=0}x^{m}[/itex]

This turns out to be true if you just let both independent solutions take the form of Eqn. 1 right from the get go, or if you go the long way and only let [itex]s_{1}[/itex] take the form of Eqn. 1, and then let [itex]s_{2}[/itex] take the form of Eqn. 2 (because it turns out that k ends up being equal to zero and the recurrence relation ends up still being [itex]b_{m+1}=b_{m}[/itex])

I just don't get how you can know whether you'll have to let one of your independent solutions take the form of Eqn. 2. Do you just have to see through trial and error whether you'll get a trivial solution or not?
 
  • #5
Yes, that's all correct, and you have to figure out your [itex]k[/itex] from the equation. Since you've found the solution now, I think it's ok to redo the full problem in a systematic way to get the last uncertainties solved. I hope I don't violate the rules of the homework forum with this, but I'm convinced that at this point of understanding of the OP it helps most to give a systematic application of the Frobenius-Fuchs theorem for this nice example.

The equation to solve was (written in standard form)
[tex](1-x)y''(x)-\frac{2}{x} y'(x)+\frac{2}{x}y(x)=0.[/tex]
This indeed fulfills the conditions of the theorem for the singular point [itex]x=0[/itex] (note that there is another singular point at [itex]x=1[/itex] here!). So here we have the simplifying case that we don't need series expansions for the coefficient functions as stated already in the OP.

So the Frobenius ansatz must lead to at least one solution of the form
[tex]y_1(x)=x^s \sum_{k=0}^{\infty} a_k x^k.[/tex]
To find [itex]s[/itex] and the recursion for the [itex]a_k[/itex] we plug in the ansatz into the ODE, finding after rearrangement of the summation index and dividing by [itex]x^{s-2}[/itex]
[tex]s(s-3)+\sum_{k=1}^{\infty} (s+k)(s+k-3)[a_k - a_{k-1}] x^{k}=0.[/tex]
It's clear that this implies the two solutions [itex]s=0[/itex] and [itex]s=3[/itex] for the leading behavior of the solutions. So both solutions are analytic in [itex]x=0[/itex], i.e., the weak singularity is integrable here.

Further we are lucky in this case and can circumvent the somewhat cumbersome case that we need [itex]k \neq 0[/itex], because in this case for both values for [itex]s[/itex] the coefficients can be set [itex]a_k \equiv 1[/itex] to solve the recursion equation, which gives the two solutions
[tex]y_1(x)=x^3 \sum_{k=0}^{\infty} x^k=\frac{x^3}{1-x}, \quad y_2(x) = \sum_{k=0}^{\infty} x^k = \frac{1}{1-x}.[/tex]
Since these are obviously linearly independent functions, because [itex]y_1(x)/y_2(x) = x^3 \neq \text{const}[/itex] the general solution of the ODE is
[tex]y(x)=(a_1+a_2 x^3) \frac{1}{1-x}.[/tex]

In the general case for [itex]m=s_1-s_2 \in \mathbb{N}_0[/itex] only the first solution with the larger [itex]s_1[/itex] is given by the Frobenius ansatz, while the second solution must be found by the ansatz given in your last posting. For the case [itex]s_1=s_2[/itex] you can set [itex]k=1[/itex], and then the [itex]b_k[/itex] are uniquely determined with [itex]b_0=0[/itex], which is always a possible choice for the initial condition for the recursion for the [itex]b_k[/itex] in this case. For [itex]m \in \mathbb{N}[/itex] the [itex]k[/itex] must be determined from the ODE, and it is always uniquely defined (given the choice of the solution [itex]y_1[/itex]), and you can always set [itex]b_m=0[/itex], and then all coefficients [itex]b_k[/itex] are uniquely determined by further setting [itex]b_0=1[/itex].
 
  • Like
Likes 1 person

FAQ: How Do You Solve a Differential Equation Using the Frobenius Method?

1. What is the Frobenius method?

The Frobenius method is a technique used to solve linear differential equations that cannot be solved using other standard methods, such as separation of variables or substitution. It is named after the mathematician Ferdinand Frobenius who first introduced it in the late 19th century.

2. When is the Frobenius method used?

The Frobenius method is used when solving differential equations with singular points, where other methods fail. It is also used in cases where the coefficients of the differential equation are not constant, but can be expressed as power series.

3. How does the Frobenius method work?

The Frobenius method involves assuming a solution to the differential equation in the form of a power series and then using this assumption to determine the coefficients of the series. By substituting this solution into the differential equation, the coefficients can be solved recursively, resulting in a general solution.

4. What are the advantages of using the Frobenius method?

The Frobenius method allows for the solution of differential equations that cannot be solved using other standard methods. It also provides a general solution that can be used to solve initial value problems, boundary value problems, and other types of differential equations.

5. Are there any limitations to the Frobenius method?

The Frobenius method can only be used for linear differential equations, which means the dependent variable and its derivatives must appear in the equation in a linear manner. Additionally, the method can be quite tedious and time-consuming, especially for higher order differential equations with multiple singular points.

Back
Top