Power Series Solutions to Linear Differential Equations
It may be helpful to review shifting the summation index before proceeding.
We'll also use the following theorem about power series vanishing on an interval: If for all in some open interval, then each coefficient equals zero.
I'll proceed with an example (from Nagle, Section 8.3).
Let's find a power series solution about x = 0 to
The coefficient of here is , which is analytic everywhere, so is an ordinary point of equation (a). So, we should expect to find a power series solution of the form:
We simply need to find the unknown coefficients .
We can differentiate (4) to find the expansion of :
Substituting in these series for and into (a) gives:
which simplifies to
We could expand these out for a few terms and solve for the coefficients from here to get the first few terms of the power series solution, but we'll proceed with finding a formula for the general term of the power series solution.
Using summation index shifting techniques, we can combine the series from (e) to get:
Matching coefficients on the left and right, it's clear that , and that for all
Here, (g) is a recurrence relation that we can use to determine in terms of , that is
Now, to find we set and get
and for
and for
and for :
and so on.
If we continue this and inspect the pattern that arises we see that
and when we substitute this back into (b) we get
Since is left undetermined as an arbitrary constant, this is a general solution to equation (a).
Also note that the radius of convergence is infinite, and that it converges to
Existince of Analytic Solutions
Given the equation
Suppose is an ordinary point for equation (1). Then (1) has two linearly independent analytic solutions of the form
Moreover, the radius of convergance of any power series solution of the form given by (2) is at least as large as the distance from to the nearest singular point (real or complex-valued) of equation (1).
Translation
It's generally a lot easier to compute with series that are centered at than at other points. We can make a substitution by saying . Then, we can follow the procedure outlined above, and in the final series, we can replace with .