Solve
Hence
It is first transformed to the following ode by eliminating the first derivative
Using what is known as the Liouville transformation given by
Where it can be found that \(r\) in (2) is given by
Hence the DE we will solve using Kovacic algorithm is Eq (2) which is
Step 0 We need to find which case it is. \(r=\frac {s}{t}\) where
The free square factorization of \(t\) is \(t=\left [ 1,x\right ] \). Hence
Since \(m\) is number of elements in the free square factorization. in this special case we set
Now
There is pole \(x=0\) of order 2. Looking at the cases table, reproduced here
| case | allowed pole order for \(r=\frac {s}{t}\) | allowed \(O\left ( \infty \right ) \) order | \(L\) |
| 1 | \(\left \{ 0,1,2,4,6,8,\cdots \right \} \) | \(\left \{ \cdots ,-8,-6,-4,-2,0,2,3,4,5,6,7,\cdots \right \} \) | \(\left [ 1\right ] \) |
| 2 | \(\left \{ 2,3,5,7,9,\cdots \right \} \) | no condition | \(\left [ 2\right ] \) |
| 3 | \(\left \{ 1,2\right \} \) | \(\left \{ 2,3,4,5,6,7,\cdots \right \} \) | \(\left [ 4,6,12\right ] \) |
Shows that only case 2 is possible (due to \(O\left ( \infty \right ) =1\) which is not allowed other than for case 2). Hence \(L=\left [ 2\right ] \).
Step 1
This step has 4 parts (a,b,c,d).
part (a) Here the fixed parts \(e_{fixed},\theta _{fixed}\) are calculated using
Using \(O\left ( \infty \right ) =1,t=16x^{2},t_{1}=1\) the above gives
part (b)
Here the values \(e_{i},\theta _{i}\) are found for \(i=1\cdots k_{2}\) where \(k_{2}\) is the number of roots of \(t_{2}\). In other words, the number of poles of \(r\) that are of order \(2\).
These will be the zeros of \(t_{2}\) in the above square free factorization of \(t\). From above we found that
Label these zeros of \(t_{2}\) as \(c_{1},c_{2},\cdots ,c_{k_{2}}\). The zeros of \(t_{2}\) are \(\left \{ 0\right \} \). Therefore \(k_{2}=1\). Hence
Now we iterate over each zero \(c_{i}\) times finding \(e_{i}\) and \(\theta _{i}\) from each. These are found to be (following formula in paper) to be
And
Part (c)
This part applied only to case 1. It is used to generate \(e_{i},\theta _{i}\) for poles of \(r\) order \(4,6,8,\cdots ,M\) if any exist. Since only case 2 exist in this example. This is skipped. Hence \(M\) stays \(1\).
Part(d)
Now we need to find \(e_{0},\theta _{0}\). If \(O\left ( \infty \right ) >2\) then \(e_{0}=1,\theta _{0}=0\). But if \(O\left ( \infty \right ) =2\) then \(\theta _{0}=0\) and \(e_{0}=\sqrt {1+4b}\) where \(b\) is the coefficient of \(\frac {1}{x^{2}}\) in the Laurent series expansion of \(r\) at \(\infty \). None of these apply, and this is not case 1. Hence
Hence now we have
The above are arranged such that \(e_{0}\) is the first entry. Same for \(\theta \). This to keep the same notation as in the paper. The above complete step 1, which is to generates the candidate \(e^{\prime }s\) and \(\theta ^{\prime }s\). In step 2, these are used to generate trials \(d\) and \(\theta \) and find from them \(P\left ( x\right ) \) polynomial if possible.
Step 2
In this step, we now have all the \(e_{i},\theta _{i}\) values found above in addition to \(e_{fix},\theta _{fix}\).
Starting with \(n=2\). Since case 2 only applies here. And since we have \(M=1\) then there are \(\left ( n+1\right ) ^{M+1}=3^{2}=9\) sets \(s\) to try. The first set \(s\) is
Now we generate trial \(d\) using
Since \(M=1\) then the above becomes
If \(d\geq 0\) then we go and find a trial \(\Theta \). We need to have both \(d,\Theta \) to go to the next step. \(\Theta \) is found using
Hence the first trial \(d\) is (using Eq (7)) and recalling that \(e_{fix}=-\frac {1}{4},\theta _{fixed}=\frac {1}{2x}\) gives
Since \(d\geq 0\), then we can use it. Using Eq (8) gives (using \(M=1\))
Now that we have good trial \(d\) and \(\Theta \), then step 3 is called to generate \(P\left ( x\right ) \) if possible.
Step 3
The input to this step is the integer \(d=0\) and \(\Theta =\frac {1}{2x}\) found from step 2 and also \(r=\frac {16x-3}{16x^{2}}\) which comes from \(z^{\prime \prime }=rz\). We need now to find \(P\left ( x\right ) \) of degree \(d=0\) which is a constant such that
Since \(P=1\) then above simplifies to
We know \(\Theta \) and \(r\). If this verifies, then we can use \(P=1\). Substituting the above becomes
Verified. Hence
Let
Now we solve for \(\omega \) from
The solution \(\ \omega =\frac {1}{4x}\pm \frac {1}{\sqrt {x}}\). We pick either solution. Hence the solution is
Hence first solution to given ODE is