2.4.1.6 Example 6 \(xy^{\prime \prime }+y=x\)
\begin{equation} xy^{\prime \prime }+y=x \tag {1}\end{equation}
Let solution be
\(y=y_{h}+y_{p}\). We always start by finding
\(y_{h}\) then find
\(y_{p}\) using balance method.
\(x=0\) is regular
singular point. Hence Frobenius series gives
\[ y\left ( x\right ) =\sum _{n=0}^{\infty }a_{n}x^{n+r}\]
Where
\(r\) is to be determined. It is the root of
the indicial equation. Therefore
\begin{align*} y^{\prime }\left ( x\right ) & =\sum _{n=0}^{\infty }\left ( n+r\right ) a_{n}x^{n+r-1}\\ y^{\prime \prime }\left ( x\right ) & =\sum _{n=0}^{\infty }\left ( n+r\right ) \left ( n+r-1\right ) a_{n}x^{n+r-2}\end{align*}
Substituting the above in (1) gives
\begin{align} x\sum _{n=0}^{\infty }\left ( n+r\right ) \left ( n+r-1\right ) a_{n}x^{n+r-2}+\sum _{n=0}^{\infty }a_{n}x^{n+r} & =x\nonumber \\ \sum _{n=0}^{\infty }\left ( n+r\right ) \left ( n+r-1\right ) a_{n}x^{n+r-1}+\sum _{n=0}^{\infty }a_{n}x^{n+r} & =x \tag {1A}\end{align}
Adjusting indices to all powers of \(x\) are the same gives
\begin{equation} \sum _{n=0}^{\infty }\left ( n+r\right ) \left ( n+r-1\right ) a_{n}x^{n+r-1}+\sum _{n=1}^{\infty }a_{n-1}x^{n+r-1}=x \tag {1B}\end{equation}
The indicial equation is found
from only the terms with the expansion of the dependent variable
\(y\). This means
by making the LHS of (3) vanish. We only consider
\begin{equation} \sum _{n=0}^{\infty }\left ( n+r\right ) \left ( n+r-1\right ) a_{n}x^{n+r-1}+\sum _{n=1}^{\infty }a_{n-1}x^{n+r-1}=0 \tag {1C}\end{equation}
For
\(n=0\)\begin{equation} \left ( r\right ) \left ( r-1\right ) a_{n}x^{r-1}=0\nonumber \end{equation}
EQ (1D) is used to
find
\(r\). Since
\(a_{0}\neq 0\) then (1D) gives
\[ \left ( r\right ) \left ( r-1\right ) =0 \]
Hence roots are
\(r_{1}=1,r_{2}=0\). Hence the two basis solution for
\(y_{h}\)
are
\begin{align*} y_{1} & =x^{r_{1}}\sum _{n=0}^{\infty }a_{n}x^{n}=\sum _{n=0}^{\infty }a_{n}x^{n+1}\\ y_{2} & =C_{1}y_{1}\ln x+x^{r_{2}}\sum _{n=0}^{\infty }b_{n}x^{n}\\ & =C_{1}y_{1}\ln x+\sum _{n=0}^{\infty }b_{n}x^{n}\end{align*}
To find \(y_{1},\) we can find the recursive equation to be for \(n>0\)
\[ a_{n}=-\frac {a_{n-1}}{n\left ( n+1\right ) }\]
Which results in
\[ y_{1}=x-\frac {x^{2}}{2}+\frac {x^{3}}{12}-\frac {x^{4}}{144}+\frac {x^{5}}{2880}+\cdots \]
Finding
\(y_{2}\) is a little
more involved because we need to determine
\(C\). This can be found to be
\(C=-1\). Using this we can
find
\[ y_{2}=\left ( -x+\frac {x^{2}}{2}-\frac {x^{3}}{12}+\frac {x^{4}}{144}-\frac {x^{5}}{2880}+\cdots \right ) \ln x+\left ( 1-\frac {3}{4}x^{2}+\frac {7x^{3}}{36}-\cdots \right ) \]
Hence
\begin{align} y_{h} & =c_{1}y_{1}+c_{2}y_{2}\nonumber \\ & =c_{1}\left ( x-\frac {x^{2}}{2}+\frac {x^{3}}{12}-\frac {x^{4}}{144}+\frac {x^{5}}{2880}+\cdots \right ) +c_{2}\left ( \left ( -x+\frac {x^{2}}{2}-\frac {x^{3}}{12}+\frac {x^{4}}{144}-\frac {x^{5}}{2880}+\cdots \right ) \ln x+\left ( 1-\frac {3}{4}x^{2}+\frac {7x^{3}}{36}-\cdots \right ) \right ) \tag {2}\end{align}
What is left is to find \(y_{p}\). Let
\[ y_{p}=\sum _{n=0}^{\infty }c_{n}x^{n+r}\]
Substituting this into the ode
\(xy^{\prime \prime }+y=x\) and simplifying as we did above
results in
\begin{equation} \sum _{n=0}^{\infty }\left ( n+r\right ) \left ( n+r-1\right ) c_{n}x^{n+r-1}+\sum _{n=1}^{\infty }c_{n-1}x^{n+r-1}=x \tag {3A}\end{equation}
For
\(n=0\)\[ \left ( r\right ) \left ( r-1\right ) c_{0}x^{r-1}=x \]
Hence for balance we need
\(r-1=1\) or
\(r=2\). Therefore
\(\left ( r\right ) \left ( r-1\right ) c_{0}=1\) and solving for
\(c_{0}\) gives
\(c_{0}=\frac {1}{2}\). Therefore
(3A) becomes
\begin{equation} \sum _{n=0}^{\infty }\left ( n+2\right ) \left ( n+1\right ) c_{n}x^{n+1}+\sum _{n=1}^{\infty }c_{n-1}x^{n+1}=x \tag {3B}\end{equation}
Now that we used
\(n=0\) to find
\(r\) by matching against the RHS which is
\(x\), from
now on, for all
\(n>0\) we will use (3B) to solve for all other
\(c_{n}\). From now on, we just need to solve
with RHS zero, since there can be no more matches for any
\(x\) on the right. For
\(n=1\) then (3B)
gives
\[ 6c_{1}x^{2}+c_{0}x^{2}=0 \]
Hence
\(6c_{1}+c_{0}=0\) or
\(c_{1}=-\frac {c_{0}}{6}=\frac {-1}{12}\). For
\(n=2\), EQ(3B) gives
\[ 12c_{2}x^{3}+c_{1}x^{3}=0 \]
Hence
\(12c_{2}+c_{1}=0\) or
\(c_{2}=-\frac {c_{1}}{12}=-\frac {\frac {-1}{12}}{12}=\frac {1}{144}\). For
\(n=3\), EQ(3B) gives
\[ 20c_{3}x^{4}+c_{2}x^{4}=0 \]
Hence
\(20c_{3}+c_{2}=0\) or
\(c_{3}=-\frac {c_{2}}{20}=-\frac {\frac {1}{144}}{20}=-\frac {1}{2880}\) and so one.
Therefore
\begin{align} y_{p} & =\sum _{n=0}^{\infty }c_{n}x^{n+r}\nonumber \\ & =\sum _{n=0}^{\infty }c_{n}x^{n+2}\nonumber \\ & =c_{0}x^{2}+c_{1}x^{3}+c_{2}x^{4}+c_{3}x^{5}+\cdots \nonumber \\ & =\frac {1}{2}x^{2}-\frac {1}{12}x^{3}+\frac {1}{144}x^{4}-\frac {1}{2880}x^{5}+\cdots \tag {4}\end{align}
Hence the final solution is
\[ y=y_{h}+y_{p}\]
Where
\(y_{h}\) is given by (2) and
\(y_{p}\) is given by (4).