Internal problem ID [1184]
Internal file name [OUTPUT/1185_Sunday_June_05_2022_02_04_27_AM_59910487/index.tex
]
Book: Elementary differential equations with boundary value problems. William F. Trench.
Brooks/Cole 2001
Section: Chapter 5 linear second order equations. Section 5.7 Variation of Parameters. Page
262
Problem number: 30.
ODE order: 2.
ODE degree: 1.
The type(s) of ODE detected by this program : "kovacic"
Maple gives the following as the ode type
[[_2nd_order, _linear, _nonhomogeneous]]
\[ \boxed {\left (3 x -1\right ) y^{\prime \prime }-\left (3 x +2\right ) y^{\prime }-\left (6 x -8\right ) y=\left (3 x -1\right )^{2} {\mathrm e}^{2 x}} \] With initial conditions \begin {align*} [y \left (0\right ) = 1, y^{\prime }\left (0\right ) = 2] \end {align*}
This is a linear ODE. In canonical form it is written as \begin {align*} y^{\prime \prime } + p(x)y^{\prime } + q(x) y &= F \end {align*}
Where here \begin {align*} p(x) &=\frac {-3 x -2}{3 x -1}\\ q(x) &=\frac {-6 x +8}{3 x -1}\\ F &=\left (3 x -1\right ) {\mathrm e}^{2 x} \end {align*}
Hence the ode is \begin {align*} y^{\prime \prime }+\frac {\left (-3 x -2\right ) y^{\prime }}{3 x -1}+\frac {\left (-6 x +8\right ) y}{3 x -1} = \left (3 x -1\right ) {\mathrm e}^{2 x} \end {align*}
The domain of \(p(x)=\frac {-3 x -2}{3 x -1}\) is \[
\left \{x <\frac {1}{3}\boldsymbol {\lor }\frac {1}{3}
Writing the ode as \begin {align*} \left (3 x -1\right ) y^{\prime \prime }+\left (-3 x -2\right ) y^{\prime }+\left (-6 x +8\right ) y &= 0 \tag {1} \\ A y^{\prime \prime } + B y^{\prime } + C y &= 0 \tag {2} \end {align*}
Comparing (1) and (2) shows that \begin {align*} A &= 3 x -1 \\ B &= -3 x -2\tag {3} \\ C &= -6 x +8 \end {align*}
Applying the Liouville transformation on the dependent variable gives \begin {align*} z(x) &= y e^{\int \frac {B}{2 A} \,dx} \end {align*}
Then (2) becomes \begin {align*} z''(x) = r z(x)\tag {4} \end {align*}
Where \(r\) is given by \begin {align*} r &= \frac {s}{t}\tag {5} \\ &= \frac {2 A B' - 2 B A' + B^2 - 4 A C}{4 A^2} \end {align*}
Substituting the values of \(A,B,C\) from (3) in the above and simplifying gives \begin {align*} r &= \frac {81 x^{2}-108 x +54}{4 \left (3 x -1\right )^{2}}\tag {6} \end {align*}
Comparing the above to (5) shows that \begin {align*} s &= 81 x^{2}-108 x +54\\ t &= 4 \left (3 x -1\right )^{2} \end {align*}
Therefore eq. (4) becomes \begin {align*} z''(x) &= \left ( \frac {81 x^{2}-108 x +54}{4 \left (3 x -1\right )^{2}}\right ) z(x)\tag {7} \end {align*}
Equation (7) is now solved. After finding \(z(x)\) then \(y\) is found using the inverse transformation
\begin {align*} y &= z \left (x \right ) e^{-\int \frac {B}{2 A} \,dx} \end {align*}
The first step is to determine the case of Kovacic algorithm this ode belongs to. There are 3
cases depending on the order of poles of \(r\) and the order of \(r\) at \(\infty \). The following table
summarizes these cases. Case Allowed pole order for \(r\) Allowed value for \(\mathcal {O}(\infty )\) 1 \(\left \{ 0,1,2,4,6,8,\cdots \right \} \) \(\left \{ \cdots ,-6,-4,-2,0,2,3,4,5,6,\cdots \right \} \) 2
Need to have at least one pole
that is either order \(2\) or odd order
greater than \(2\). Any other pole order
is allowed as long as the above
condition is satisfied. Hence the
following set of pole orders are all
allowed. \(\{1,2\}\),\(\{1,3\}\),\(\{2\}\),\(\{3\}\),\(\{3,4\}\),\(\{1,2,5\}\). no condition 3 \(\left \{ 1,2\right \} \) \(\left \{ 2,3,4,5,6,7,\cdots \right \} \) The order of \(r\) at \(\infty \) is the degree of \(t\) minus the degree of \(s\). Therefore \begin {align*} O\left (\infty \right ) &= \text {deg}(t) - \text {deg}(s) \\ &= 2 - 2 \\ &= 0 \end {align*}
The poles of \(r\) in eq. (7) and the order of each pole are determined by solving for the roots
of \(t=4 \left (3 x -1\right )^{2}\). There is a pole at \(x={\frac {1}{3}}\) of order \(2\). Since there is no odd order pole larger than \(2\)
and the order at \(\infty \) is \(0\) then the necessary conditions for case one are met. Since
there is a pole of order \(2\) then necessary conditions for case two are met. Therefore
\begin {align*} L &= [1, 2] \end {align*}
Attempting to find a solution using case \(n=1\).
Looking at poles of order 2. The partial fractions decomposition of \(r\) is \[
r = \frac {9}{4}+\frac {3}{4 \left (x -\frac {1}{3}\right )^{2}}-\frac {3}{2 \left (x -\frac {1}{3}\right )}
\] For the pole at \(x={\frac {1}{3}}\) let \(b\)
be the coefficient of \(\frac {1}{ \left (x -\frac {1}{3}\right )^{2}}\) in the partial fractions decomposition of \(r\) given above. Therefore \(b={\frac {3}{4}}\). Hence
\begin {alignat*} {2} [\sqrt r]_c &= 0 \\ \alpha _c^{+} &= \frac {1}{2} + \sqrt {1+4 b} &&= {\frac {3}{2}}\\ \alpha _c^{-} &= \frac {1}{2} - \sqrt {1+4 b} &&= -{\frac {1}{2}} \end {alignat*}
Since the order of \(r\) at \(\infty \) is \(O_r(\infty ) = 0\) then \begin {alignat*} {3} v &= \frac {-O_r(\infty )}{2} &&= \frac {0}{2} &&= 0 \end {alignat*}
\([\sqrt r]_\infty \) is the sum of terms involving \(x^i\) for \(0\leq i \leq v\) in the Laurent series for \(\sqrt r\) at \(\infty \). Therefore \begin {align*} [\sqrt r]_\infty &= \sum _{i=0}^{v} a_i x^i \\ &= \sum _{i=0}^{0} a_i x^i \tag {8} \end {align*}
Let \(a\) be the coefficient of \(x^v=x^0\) in the above sum. The Laurent series of \(\sqrt r\) at \(\infty \) is \[ \sqrt r \approx \frac {3}{2}-\frac {1}{2 x}+\frac {1}{9 x^{3}}+\frac {11}{108 x^{4}}+\frac {7}{108 x^{5}}+\frac {5}{162 x^{6}}+\frac {2}{243 x^{7}}-\frac {13}{3888 x^{8}} + \dots \tag {9} \] Comparing Eq. (9)
with Eq. (8) shows that \[ a = {\frac {3}{2}} \] From Eq. (9) the sum up to \(v=0\) gives \begin {align*} [\sqrt r]_\infty &= \sum _{i=0}^{0} a_i x^i \\ &= {\frac {3}{2}} \tag {10} \end {align*}
Now we need to find \(b\), where \(b\) be the coefficient of \(x^{v-1} = x^{-1}=\frac {1}{x}\) in \(r\) minus the coefficient of same term but
in \(\left ( [\sqrt r]_\infty \right )^2 \) where \([\sqrt r]_\infty \) was found above in Eq (10). Hence \[ \left ( [\sqrt r]_\infty \right )^2 = {\frac {9}{4}} \] This shows that the coefficient of \(\frac {1}{x}\) in the
above is \(0\). Now we need to find the coefficient of \(\frac {1}{x}\) in \(r\). How this is done depends on if \(v=0\) or not.
Since \(v=0\) then starting from \(r=\frac {s}{t}\) and doing long division in the form \[ r = Q + \frac {R}{t} \] Where \(Q\) is the quotient and \(R\) is
the remainder. Then the coefficient of \(\frac {1}{x}\) in \(r\) will be the coefficient in \(R\) of the term in \(x\) of degree
of \(t\) minus one, divided by the leading coefficient in \(t\). Doing long division gives
\begin {align*} r &= \frac {s}{t} \\ &= \frac {81 x^{2}-108 x +54}{36 x^{2}-24 x +4} \\ &= Q + \frac {R}{36 x^{2}-24 x +4}\\ &= \left ({\frac {9}{4}}\right ) + \left ( \frac {-54 x +45}{36 x^{2}-24 x +4}\right ) \\ &= \frac {9}{4}+\frac {-54 x +45}{36 x^{2}-24 x +4} \end {align*}
Since the degree of \(t\) is \(2\), then we see that the coefficient of the term \(x\) in the remainder \(R\)
is \(-54\). Dividing this by leading coefficient in \(t\) which is \(36\) gives \(-{\frac {3}{2}}\). Now \(b\) can be found.
\begin {align*} b &= \left (-{\frac {3}{2}}\right )-\left (0\right )\\ &= -{\frac {3}{2}} \end {align*}
Hence \begin {alignat*} {3} [\sqrt r]_\infty &= {\frac {3}{2}}\\ \alpha _{\infty }^{+} &= \frac {1}{2} \left ( \frac {b}{a} - v \right ) &&= \frac {1}{2} \left ( \frac {-{\frac {3}{2}}}{{\frac {3}{2}}} - 0 \right ) &&= -{\frac {1}{2}}\\ \alpha _{\infty }^{-} &= \frac {1}{2} \left ( -\frac {b}{a} - v \right ) &&= \frac {1}{2} \left ( -\frac {-{\frac {3}{2}}}{{\frac {3}{2}}} - 0 \right ) &&= {\frac {1}{2}} \end {alignat*}
The following table summarizes the findings so far for poles and for the order of \(r\) at \(\infty \) where \(r\)
is \[ r=\frac {81 x^{2}-108 x +54}{4 \left (3 x -1\right )^{2}} \]
Now that the all \([\sqrt r]_c\) and its associated \(\alpha _c^{\pm }\) have been determined for all the poles in the set \(\Gamma \) and \([\sqrt r]_\infty \)
and its associated \(\alpha _\infty ^{\pm }\) have also been found, the next step is to determine possible non negative
integer \(d\) from these using \begin {align*} d &= \alpha _\infty ^{s(\infty )} - \sum _{c \in \Gamma } \alpha _c^{s(c)} \end {align*}
Where \(s(c)\) is either \(+\) or \(-\) and \(s(\infty )\) is the sign of \(\alpha _\infty ^{\pm }\). This is done by trial over all set of families \(s=(s(c))_{c \in \Gamma \cup {\infty }}\) until
such \(d\) is found to work in finding candidate \(\omega \). Trying \(\alpha _\infty ^{+} = -{\frac {1}{2}}\) then \begin {align*} d &= \alpha _\infty ^{+} - \left ( \alpha _{c_1}^{-} \right ) \\ &= -{\frac {1}{2}} - \left ( -{\frac {1}{2}} \right ) \\ &= 0 \end {align*}
Since \(d\) an integer and \(d \geq 0\) then it can be used to find \(\omega \) using \begin {align*} \omega &= \sum _{c \in \Gamma } \left ( s(c) [\sqrt r]_c + \frac {\alpha _c^{s(c)}}{x-c} \right ) + s(\infty ) [\sqrt r]_\infty \end {align*}
Substituting the above values in the above results in \begin {align*} \omega &= \left ( (-)[\sqrt r]_{c_1} + \frac { \alpha _{c_1}^{-} }{x- c_1}\right ) + (+) [\sqrt r]_\infty \\ &= -\frac {1}{2 \left (x -\frac {1}{3}\right )} + \left ( {\frac {3}{2}} \right ) \\ &= -\frac {1}{2 \left (x -\frac {1}{3}\right )}+\frac {3}{2}\\ &= \frac {9 x -6}{6 x -2} \end {align*}
Now that \(\omega \) is determined, the next step is find a corresponding minimal polynomial \(p(x)\) of degree
\(d=0\) to solve the ode. The polynomial \(p(x)\) needs to satisfy the equation \begin {align*} p'' + 2 \omega p' + \left ( \omega ' +\omega ^2 -r\right ) p = 0 \tag {1A} \end {align*}
Let \begin {align*} p(x) &= 1\tag {2A} \end {align*}
Substituting the above in eq. (1A) gives \begin {align*} \left (0\right ) + 2 \left (-\frac {1}{2 \left (x -\frac {1}{3}\right )}+\frac {3}{2}\right ) \left (0\right ) + \left ( \left (\frac {1}{2 \left (x -\frac {1}{3}\right )^{2}}\right ) + \left (-\frac {1}{2 \left (x -\frac {1}{3}\right )}+\frac {3}{2}\right )^2 - \left (\frac {81 x^{2}-108 x +54}{4 \left (3 x -1\right )^{2}}\right ) \right ) &= 0\\ 0 = 0 \end {align*}
The equation is satisfied since both sides are zero. Therefore the first solution to the ode \(z'' = r z\) is
\begin {align*} z_1(x) &= p e^{ \int \omega \,dx} \\ &= {\mathrm e}^{\int \left (-\frac {1}{2 \left (x -\frac {1}{3}\right )}+\frac {3}{2}\right )d x}\\ &= \frac {\sqrt {3}\, {\mathrm e}^{\frac {3 x}{2}}}{\sqrt {3 x -1}} \end {align*}
The first solution to the original ode in \(y\) is found from \begin{align*}
y_1 &= z_1 e^{ \int -\frac {1}{2} \frac {B}{A} \,dx} \\
&= z_1 e^{ -\int \frac {1}{2} \frac {-3 x -2}{3 x -1} \,dx} \\
&= z_1 e^{\frac {x}{2}+\frac {\ln \left (3 x -1\right )}{2}} \\
&= z_1 \left (\sqrt {3 x -1}\, {\mathrm e}^{\frac {x}{2}}\right ) \\
\end{align*} Which simplifies to \[
y_1 = \sqrt {3}\, {\mathrm e}^{2 x}
\] The second
solution \(y_2\) to the original ode is found using reduction of order \[ y_2 = y_1 \int \frac { e^{\int -\frac {B}{A} \,dx}}{y_1^2} \,dx \] Substituting gives \begin{align*}
y_2 &= y_1 \int \frac { e^{\int -\frac {-3 x -2}{3 x -1} \,dx}}{\left (y_1\right )^2} \,dx \\
&= y_1 \int \frac { e^{x +\ln \left (3 x -1\right )}}{\left (y_1\right )^2} \,dx \\
&= y_1 \left (-\frac {x \,{\mathrm e}^{-3 x}}{3}\right ) \\
\end{align*} Therefore
the solution is
\begin{align*}
y &= c_{1} y_1 + c_{2} y_2 \\
&= c_{1} \left (\sqrt {3}\, {\mathrm e}^{2 x}\right ) + c_{2} \left (\sqrt {3}\, {\mathrm e}^{2 x}\left (-\frac {x \,{\mathrm e}^{-3 x}}{3}\right )\right ) \\
\end{align*} This is second order nonhomogeneous ODE. Let the solution be \[
y = y_h + y_p
\] Where \(y_h\) is the solution to
the homogeneous ODE \( A y''(x) + B y'(x) + C y(x) = 0\), and \(y_p\) is a particular solution to the nonhomogeneous ODE \(A y''(x) + B y'(x) + C y(x) = f(x)\). \(y_h\) is the
solution to \[
\left (3 x -1\right ) y^{\prime \prime }+\left (-3 x -2\right ) y^{\prime }+\left (-6 x +8\right ) y = 0
\] The homogeneous solution is found using the Kovacic algorithm which results in \[
y_h = c_{1} \sqrt {3}\, {\mathrm e}^{2 x}-\frac {c_{2} x \sqrt {3}\, {\mathrm e}^{-x}}{3}
\]
The particular solution \(y_p\) can be found using either the method of undetermined coefficients,
or the method of variation of parameters. The method of variation of parameters
will be used as it is more general and can be used when the coefficients of the
ODE depend on \(x\) as well. Let \begin{equation}
\tag{1} y_p(x) = u_1 y_1 + u_2 y_2
\end{equation} Where \(u_1,u_2\) to be determined, and \(y_1,y_2\) are the two basis
solutions (the two linearly independent solutions of the homogeneous ODE) found
earlier when solving the homogeneous ODE as \begin{align*}
y_1 &= \sqrt {3}\, {\mathrm e}^{2 x} \\
y_2 &= -\frac {x \sqrt {3}\, {\mathrm e}^{-x}}{3} \\
\end{align*} In the Variation of parameters \(u_1,u_2\) are
found using \begin{align*}
\tag{2} u_1 &= -\int \frac {y_2 f(x)}{a W(x)} \\
\tag{3} u_2 &= \int \frac {y_1 f(x)}{a W(x)} \\
\end{align*} Where \(W(x)\) is the Wronskian and \(a\) is the coefficient in front of \(y''\) in the
given ODE. The Wronskian is given by \(W= \begin {vmatrix} y_1 & y_{2} \\ y_{1}^{\prime } & y_{2}^{\prime } \end {vmatrix} \). Hence \[ W = \begin {vmatrix} \sqrt {3}\, {\mathrm e}^{2 x} & -\frac {x \sqrt {3}\, {\mathrm e}^{-x}}{3} \\ \frac {d}{dx}\left (\sqrt {3}\, {\mathrm e}^{2 x}\right ) & \frac {d}{dx}\left (-\frac {x \sqrt {3}\, {\mathrm e}^{-x}}{3}\right ) \end {vmatrix} \] Which gives \[ W = \begin {vmatrix} \sqrt {3}\, {\mathrm e}^{2 x} & -\frac {x \sqrt {3}\, {\mathrm e}^{-x}}{3} \\ 2 \sqrt {3}\, {\mathrm e}^{2 x} & -\frac {\sqrt {3}\, {\mathrm e}^{-x}}{3}+\frac {x \sqrt {3}\, {\mathrm e}^{-x}}{3} \end {vmatrix} \] Therefore \[
W = \left (\sqrt {3}\, {\mathrm e}^{2 x}\right )\left (-\frac {\sqrt {3}\, {\mathrm e}^{-x}}{3}+\frac {x \sqrt {3}\, {\mathrm e}^{-x}}{3}\right ) - \left (-\frac {x \sqrt {3}\, {\mathrm e}^{-x}}{3}\right )\left (2 \sqrt {3}\, {\mathrm e}^{2 x}\right )
\] Which
simplifies to \[
W = -{\mathrm e}^{2 x} {\mathrm e}^{-x}+3 x \,{\mathrm e}^{-x} {\mathrm e}^{2 x}
\] Which simplifies to \[
W = \left (3 x -1\right ) {\mathrm e}^{x}
\] Therefore Eq. (2) becomes \[
u_1 = -\int \frac {-\frac {x \sqrt {3}\, {\mathrm e}^{-x} \left (3 x -1\right )^{2} {\mathrm e}^{2 x}}{3}}{\left (3 x -1\right )^{2} {\mathrm e}^{x}}\,dx
\] Which simplifies to \[
u_1 = - \int -\frac {\sqrt {3}\, x}{3}d x
\]
Hence \[
u_1 = \frac {\sqrt {3}\, x^{2}}{6}
\] And Eq. (3) becomes \[
u_2 = \int \frac {\sqrt {3}\, {\mathrm e}^{4 x} \left (3 x -1\right )^{2}}{\left (3 x -1\right )^{2} {\mathrm e}^{x}}\,dx
\] Which simplifies to \[
u_2 = \int \sqrt {3}\, {\mathrm e}^{3 x}d x
\] Hence \[
u_2 = \frac {\sqrt {3}\, {\mathrm e}^{3 x}}{3}
\] Therefore the particular
solution, from equation (1) is \[
y_p(x) = \frac {x^{2} {\mathrm e}^{2 x}}{2}-\frac {{\mathrm e}^{3 x} x \,{\mathrm e}^{-x}}{3}
\] Which simplifies to \[
y_p(x) = \frac {{\mathrm e}^{2 x} x \left (3 x -2\right )}{6}
\] Therefore the general solution
is \begin{align*}
y &= y_h + y_p \\
&= \left (c_{1} \sqrt {3}\, {\mathrm e}^{2 x}-\frac {c_{2} x \sqrt {3}\, {\mathrm e}^{-x}}{3}\right ) + \left (\frac {{\mathrm e}^{2 x} x \left (3 x -2\right )}{6}\right ) \\
\end{align*} Which simplifies to \[
y = -\frac {\sqrt {3}\, \left ({\mathrm e}^{-x} c_{2} x -3 c_{1} {\mathrm e}^{2 x}\right )}{3}+\frac {{\mathrm e}^{2 x} x \left (3 x -2\right )}{6}
\] Initial conditions are used to solve for the constants of
integration.
Looking at the above solution \begin {align*} y = -\frac {\sqrt {3}\, \left ({\mathrm e}^{-x} c_{2} x -3 c_{1} {\mathrm e}^{2 x}\right )}{3}+\frac {{\mathrm e}^{2 x} x \left (3 x -2\right )}{6} \tag {1} \end {align*}
Initial conditions are now substituted in the above solution. This will generate the required
equations to solve for the integration constants. substituting \(y = 1\) and \(x = 0\) in the above gives
\begin {align*} 1 = \sqrt {3}\, c_{1}\tag {1A} \end {align*}
Taking derivative of the solution gives \begin {align*} y^{\prime } = -\frac {\sqrt {3}\, \left (-{\mathrm e}^{-x} c_{2} x +{\mathrm e}^{-x} c_{2} -6 c_{1} {\mathrm e}^{2 x}\right )}{3}+\frac {{\mathrm e}^{2 x} x \left (3 x -2\right )}{3}+\frac {{\mathrm e}^{2 x} \left (3 x -2\right )}{6}+\frac {{\mathrm e}^{2 x} x}{2} \end {align*}
substituting \(y^{\prime } = 2\) and \(x = 0\) in the above gives \begin {align*} 2 = -\frac {1}{3}+\frac {\left (6 c_{1} -c_{2} \right ) \sqrt {3}}{3}\tag {2A} \end {align*}
Equations {1A,2A} are now solved for \(\{c_{1}, c_{2}\}\). Solving for the constants gives \begin {align*} c_{1}&=\frac {\sqrt {3}}{3}\\ c_{2}&=-\frac {\sqrt {3}}{3} \end {align*}
Substituting these values back in above solution results in \begin {align*} y = \frac {x \,{\mathrm e}^{-x}}{3}+{\mathrm e}^{2 x}+\frac {x^{2} {\mathrm e}^{2 x}}{2}-\frac {{\mathrm e}^{2 x} x}{3} \end {align*}
Which simplifies to \[
y = \frac {\left (3 x^{2}-2 x +6\right ) {\mathrm e}^{2 x}}{6}+\frac {x \,{\mathrm e}^{-x}}{3}
\] The solution(s) found are the following \begin{align*}
\tag{1} y &= \frac {\left (3 x^{2}-2 x +6\right ) {\mathrm e}^{2 x}}{6}+\frac {x \,{\mathrm e}^{-x}}{3} \\
\end{align*} Verification of solutions
\[
y = \frac {\left (3 x^{2}-2 x +6\right ) {\mathrm e}^{2 x}}{6}+\frac {x \,{\mathrm e}^{-x}}{3}
\] Verified OK. Maple trace Kovacic algorithm successful
✓ Solution by Maple
Time used: 0.031 (sec). Leaf size: 28
\[
y \left (x \right ) = \frac {\left (3 x^{2}-2 x +6\right ) {\mathrm e}^{2 x}}{6}+\frac {x \,{\mathrm e}^{-x}}{3}
\]
✓ Solution by Mathematica
Time used: 0.13 (sec). Leaf size: 34
\[
y(x)\to \frac {1}{6} e^{-x} \left (e^{3 x} \left (3 x^2-2 x+6\right )+2 x\right )
\]
10.30.2 Solving using Kovacic algorithm
pole \(c\) location
pole order
\([\sqrt r]_c\)
\(\alpha _c^{+}\)
\(\alpha _c^{-}\)
\(\frac {1}{3}\) \(2\) \(0\) \(\frac {3}{2}\) \(-{\frac {1}{2}}\)
Order of \(r\) at \(\infty \)
\([\sqrt r]_\infty \)
\(\alpha _\infty ^{+}\)
\(\alpha _\infty ^{-}\) \(0\)
\(\frac {3}{2}\) \(-{\frac {1}{2}}\) \(\frac {1}{2}\)
`Methods for second order ODEs:
--- Trying classification methods ---
trying a quadrature
trying high order exact linear fully integrable
trying differential order: 2; linear nonhomogeneous with symmetry [0,1]
trying a double symmetry of the form [xi=0, eta=F(x)]
-> Try solving first the homogeneous part of the ODE
checking if the LODE has constant coefficients
checking if the LODE is of Euler type
trying a symmetry of the form [xi=0, eta=F(x)]
checking if the LODE is missing y
-> Trying a Liouvillian solution using Kovacics algorithm
A Liouvillian solution exists
Reducible group (found an exponential solution)
Reducible group (found another exponential solution)
<- Kovacics algorithm successful
<- solving first the homogeneous part of the ODE successful`
dsolve([(3*x-1)*diff(y(x),x$2)-(3*x+2)*diff(y(x),x)-(6*x-8)*y(x)=(3*x-1)^2*exp(2*x),y(0) = 1, D(y)(0) = 2],y(x), singsol=all)
DSolve[{(3*x-1)*y''[x]-(3*x+2)*y'[x]-(6*x-8)*y[x]==(3*x-1)^2*Exp[2*x],{y[0]==1,y'[0]==2}},y[x],x,IncludeSingularSolutions -> True]