4.2.13 Example 13 case one
Let
\begin{align} y^{\prime \prime }+\frac {x}{1-x}y^{\prime }-\frac {1}{1-x}y & =0\tag {1}\\ y^{\prime \prime }+ay^{\prime }\left ( x\right ) +by & =0\nonumber \end{align}
Hence
\begin{align*} a & =\frac {x}{1-x}\\ b & =-\frac {1}{1-x}\end{align*}
It is first transformed to the following ode by eliminating the first derivative
\begin{equation} z^{\prime \prime }=rz \tag {2}\end{equation}
Using what
is known as the Liouville transformation given by
\begin{equation} y=ze^{\frac {-1}{2}\int adx} \tag {3}\end{equation}
Where it can be found that
\(r\) in (2) is
given by
\begin{align} r & =\frac {1}{4}a^{2}+\frac {1}{2}a^{\prime }-b\nonumber \\ & =\frac {1}{4}\left ( \frac {x}{1-x}\right ) ^{2}+\frac {1}{2}\frac {d}{dx}\left ( \frac {x}{1-x}\right ) -\left ( -\frac {1}{1-x}\right ) \nonumber \\ & =\frac {x^{2}-4x+6}{4\left ( x-1\right ) ^{2}} \tag {4}\end{align}
Hence the DE we will solve using Kovacic algorithm is Eq (2) which is
\begin{equation} z^{\prime \prime }=\frac {x^{2}-4x+6}{4\left ( x-1\right ) ^{2}}z \tag {5}\end{equation}
Therefore
\begin{align} r & =\frac {s}{t}\nonumber \\ & =\frac {x^{2}-4x+6}{4\left ( x-1\right ) ^{2}}\nonumber \end{align}
Step 0 We need to find which case it is. \(r=\frac {s}{t}\) where
\begin{align*} s & =x^{2}-4x+6\\ t & =4\left ( x-1\right ) ^{2}\end{align*}
The square free factorization of \(t\) is \(t=\left [ 1,\left ( x-1\right ) \right ] \). Hence
\begin{equation} m=2 \tag {6}\end{equation}
Since
\(m\) is number of elements in the free square
factorization. in this case we set
\begin{align*} t_{1} & =1\\ t_{2} & =\left ( x-1\right ) \end{align*}
Now
\begin{align*} O\left ( \infty \right ) & =\deg \left ( t\right ) -\deg \left ( s\right ) \\ & =2-2\\ & =0 \end{align*}
There is one pole at \(x=1\) of order 2. Looking at the cases table
| | | |
| 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 1,2 are possible. Hence \(L=\left [ 1,2\right ] \).
Step 1
This step has 4 parts (a,b,c,d).
part (a) Here the fixed parts \(e_{fixed},\theta _{fixed}\) are calculated using
\begin{align*} e_{fixed} & =\frac {1}{4}\left ( \min \left ( O\left ( \infty \right ) ,2\right ) -\deg \left ( t\right ) -3\deg \left ( t_{1}\right ) \right ) \\ \theta _{fixed} & =\frac {1}{4}\left ( \frac {t^{\prime }}{t}+3\frac {t_{1}^{\prime }}{t_{1}}\right ) \end{align*}
Using \(O\left ( \infty \right ) =0,t=4\left ( x-1\right ) ^{2},t_{1}=1\) the above gives
\begin{align*} e_{fixed} & =\frac {1}{4}\left ( \min \left ( 0,2\right ) -2-3\left ( 0\right ) \right ) \\ & =\frac {1}{4}\left ( 0-2\right ) \\ & =-\frac {1}{2}\\ \theta _{fixed} & =\frac {1}{4}\left ( \frac {\frac {d}{dx}\left ( 4\left ( x-1\right ) ^{2}\right ) }{4\left ( x-1\right ) ^{2}}+3\left ( 0\right ) \right ) \\ & =\frac {1}{2x-2}\end{align*}
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 \(t_{2}=\left ( x-1\right ) \). In other words, the
number of poles of \(r\) that are of order \(2\). There is one pole of order 2. Hence \(k_{2}=1\). For each pole \(c_{i}\)
then \(e_{i}=\sqrt {1+4b}\) where \(b\) is the coefficient of \(\frac {1}{\left ( x-c_{i}\right ) ^{2}}\) in the partial fraction expansion of \(r\) and \(\theta _{i}=\frac {e_{i}}{x-c_{i}}\). The partial
fraction expansion of \(r\) is
\[ \frac {x^{2}-4x+6}{4\left ( x-1\right ) ^{2}}=\frac {1}{4}+\frac {3}{4\left ( x-1\right ) ^{2}}-\frac {1}{2}\frac {1}{x-1}\]
The coefficient of
\(\frac {1}{\left ( x-1\right ) ^{2}}\) is
\(b_{1}=\frac {3}{4}\) from looking at the above. Hence
\(e_{1}=\sqrt {1+4b}=\sqrt {1+4\left ( \frac {3}{4}\right ) }=\allowbreak 2\) and
\(\theta _{1}=\frac {e_{1}}{x-c_{1}}=\frac {\allowbreak 2}{x-1}\).Therefore the lists
\(e,\theta \) are
\begin{align*} e & =\left \{ 2\right \} \\ \theta & =\left \{ \frac {2}{x-1}\right \} \end{align*}
Part (c)
This part applied only to case 1. It is used to generate \(e_{i},\theta _{i}\) for poles of \(r\) order \(4,6,8,\cdots ,k\) if any exist.
There are none. This step is skipped.
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 \(\infty \). Since \(O\left ( \infty \right ) =0\) here then none of these cases applies.
For case 1 \(\left ( n=1\right ) \) we first find \(\left [ r\right ] _{\infty }\) the sum of terms \(x^{i}\) for \(i=-\frac {v}{2},\cdots 0\) where \(v\) is \(O\left ( \infty \right ) \) which is zero here.
Hence \(v=0\). This sum of terms is from the Laurent series expansion of \(\sqrt {r}\) at \(x=\infty \) which
is
\[ \left [ \sqrt {r}\right ] _{\infty }=\frac {1}{2}-\frac {1}{2x}+\frac {1}{x^{3}}+\cdots \]
We want only terms for
\(0\leq i\leq v\) but
\(v=0\). Therefore only the constant term. Hence
\[ \left [ \sqrt {r}\right ] _{\infty }=\frac {1}{2}\]
Then
\(a\) is the
coefficient of
\(x^{-\frac {v}{2}}=x^{0}\) or constant term. Hence
\[ a=\frac {1}{2}\]
And
\(b\) is the coefficient of
\(x^{\frac {-v}{2}+1}=x\) in
\(r-\left ( \left [ \sqrt {r}\right ] _{\infty }\right ) ^{2}\). This comes out to be
\[ b=-\frac {1}{2}\]
Therefore
\begin{align*} e_{0} & =\frac {b}{a}=\frac {-\frac {1}{2}}{\frac {1}{2}}=-1\\ \theta _{0} & =2\left [ \sqrt {r}\right ] _{\infty }=1 \end{align*}
Hence now we have
\begin{align*} e & =\left \{ -1,2\right \} \\ \theta & =\left \{ 1,\frac {2}{x-1}\right \} \end{align*}
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 \(n=1\). And since we have \(k_{2}=1\) then there are \(\left ( n+1\right ) ^{k_{2}+1}=2^{2}=4\) sets \(s\) to try. The first set \(s\) is
\[ s=\left \{ \frac {-n}{2},\frac {-n}{2}\right \} =\left \{ \frac {-1}{2},\frac {-1}{2}\right \} \]
Now we
generate trial
\(d\) using
\begin{equation} d=\left ( n\right ) \left ( e_{fix}\right ) +s_{0}e_{0}-\sum _{i=1}^{k_{2}}s_{i}e_{i}\nonumber \end{equation}
Since
\(k_{2}=1\) then the above becomes
\begin{equation} d=\left ( n\right ) \left ( e_{fix}\right ) +s_{0}e_{0}-s_{1}e_{1} \tag {7}\end{equation}
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
\begin{equation} \Theta =\left ( n\right ) \left ( \theta _{fix}\right ) +\sum _{i=0}^{k_{2}}s_{i}\theta _{i} \tag {8}\end{equation}
Hence the first trial
\(d\) is (using
Eq (7)) and recalling that
\(e_{fix}=-\frac {1}{2},\theta _{fixed}=\frac {1}{2x-2}\) gives using set
\(\left \{ \frac {-1}{2},\frac {-1}{2}\right \} \)\begin{align*} d & =\left ( 1\right ) \left ( -\frac {1}{2}\right ) +\left ( \frac {-1}{2}\right ) \left ( -1\right ) -\left ( \frac {-1}{2}\right ) \left ( 2\right ) \\ & =1 \end{align*}
This will work. The corresponding \(\Theta \) is from (8)
\begin{align*} \Theta & =\left ( 1\right ) \left ( \frac {1}{2x-2}\right ) +s_{0}\theta _{0}+s_{1}\theta _{1}\\ & =\frac {1}{2x-2}-\frac {1}{2}\left ( 1\right ) -\frac {1}{2}\frac {2}{x-1}\\ & =-\frac {1}{2}\frac {x}{x-1}\end{align*}
Let us find all of the \(d\) and \(\Theta \) so to compare with the solution to same ode using
original kovacic algorithm given earlier to see if we get same \(d^{\prime }s\). We try next set
\(s=\left \{ \frac {-1}{2},\frac {+1}{2}\right \} \)
\begin{align*} d & =\left ( 1\right ) \left ( -\frac {1}{2}\right ) +\left ( \frac {-1}{2}\right ) \left ( -1\right ) -\left ( \frac {+1}{2}\right ) \left ( 2\right ) \\ & =-1 \end{align*}
We skip this \(d\) since negative. Next is \(s=\left \{ \frac {+1}{2},\frac {-1}{2}\right \} \)
\begin{align*} d & =\left ( 1\right ) \left ( -\frac {1}{2}\right ) +\left ( \frac {1}{2}\right ) \left ( -1\right ) -\left ( \frac {-1}{2}\right ) \left ( 2\right ) \\ & =0 \end{align*}
The corresponding \(\Theta \) is from (8)
\begin{align*} \Theta & =\left ( 1\right ) \left ( \frac {1}{2x-2}\right ) +s_{0}\theta _{0}+s_{1}\theta _{1}\\ & =\frac {1}{2x-2}+\frac {1}{2}\left ( 1\right ) -\frac {1}{2}\frac {2}{x-1}\\ & =\frac {x-2}{2\left ( x-1\right ) }\end{align*}
The next set is \(\left \{ \frac {+1}{2},\frac {+1}{2}\right \} \)
\begin{align*} d & =\left ( 1\right ) \left ( -\frac {1}{2}\right ) +\left ( \frac {1}{2}\right ) \left ( -1\right ) -\left ( \frac {1}{2}\right ) \left ( \allowbreak 2\right ) \\ & =-2 \end{align*}
OK, we have all \(d\) values. We now try the ones which are \(d\geq 0\) and these are \(d=0,d=1\). Let us use \(d=1\)
case. 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 \(d=1\) and \(\Theta =-\frac {1}{2}\frac {x}{x-1}\) found from step 2 and also \(r=\frac {x^{2}-4x+6}{4\left ( x-1\right ) ^{2}}\) which comes from \(z^{\prime \prime }=rz\).
Since degree \(d=1\), then let \(p\left ( x\right ) =x+a\). Solving for \(p\left ( x\right ) \) from
\[ P^{\prime \prime }+2\Theta P^{\prime }+\left ( \Theta ^{\prime }+\Theta ^{2}-r\right ) P=0 \]
gives
\(p\left ( x\right ) =x\) as solution. Hence the solution
is
\begin{align*} z & =P\left ( x\right ) e^{\int \Theta dx}\\ & =xe^{\int -\frac {1}{2}\frac {x}{x-1}dx}\\ & =x\frac {e^{-\frac {1}{2}x}}{\sqrt {x-1}}\end{align*}
Hence first solution to given ODE is
\begin{align*} y_{1} & =x\frac {e^{-\frac {1}{2}x}}{\sqrt {x-1}}e^{\frac {-1}{2}\int adx}\\ & =x\frac {e^{-\frac {1}{2}x}}{\sqrt {x-1}}e^{\frac {-1}{2}\int \frac {x}{1-x}dx}\\ & =x \end{align*}
The second solution can be found by reduction of order.