1.51 problem 51

Internal problem ID [7743]
Book : Own collection of miscellaneous problems
Section : section 1.0
Problem number : 51
Date solved : Monday, October 21, 2024 at 04:01:33 PM
CAS classification : [[_2nd_order, _missing_y]]

Solve

\begin{align*} t^{2} y^{\prime \prime }-2 y^{\prime }&=0 \end{align*}

1.51.1 Solved as second order missing y ode

Time used: 0.145 (sec)

This is second order ode with missing dependent variable \(y\). Let

\begin{align*} p(t) &= y^{\prime } \end{align*}

Then

\begin{align*} p'(t) &= y^{\prime \prime } \end{align*}

Hence the ode becomes

\begin{align*} t^{2} p^{\prime }\left (t \right )-2 p \left (t \right ) = 0 \end{align*}

Which is now solve for \(p(t)\) as first order ode. In canonical form a linear first order is

\begin{align*} p^{\prime }\left (t \right ) + q(t)p \left (t \right ) &= p(t) \end{align*}

Comparing the above to the given ode shows that

\begin{align*} q(t) &=-\frac {2}{t^{2}}\\ p(t) &=0 \end{align*}

The integrating factor \(\mu \) is

\begin{align*} \mu &= e^{\int {q\,dt}}\\ &= {\mathrm e}^{\int -\frac {2}{t^{2}}d t}\\ &= {\mathrm e}^{\frac {2}{t}} \end{align*}

The ode becomes

\begin{align*} \frac {\mathop {\mathrm {d}}}{ \mathop {\mathrm {d}t}} \mu p &= 0 \\ \frac {\mathop {\mathrm {d}}}{ \mathop {\mathrm {d}t}} \left (p \,{\mathrm e}^{\frac {2}{t}}\right ) &= 0 \end{align*}

Integrating gives

\begin{align*} p \,{\mathrm e}^{\frac {2}{t}}&= \int {0 \,dt} + c_1 \\ &=c_1 \end{align*}

Dividing throughout by the integrating factor \({\mathrm e}^{\frac {2}{t}}\) gives the final solution

\[ p \left (t \right ) = {\mathrm e}^{-\frac {2}{t}} c_1 \]

For solution (1) found earlier, since \(p=y^{\prime }\) then we now have a new first order ode to solve which is

\begin{align*} y^{\prime } = {\mathrm e}^{-\frac {2}{t}} c_1 \end{align*}

Since the ode has the form \(y^{\prime }=f(t)\), then we only need to integrate \(f(t)\).

\begin{align*} \int {dy} &= \int {{\mathrm e}^{-\frac {2}{t}} c_1\, dt}\\ y &= c_1 \left (t \,{\mathrm e}^{-\frac {2}{t}}-2 \,\operatorname {Ei}_{1}\left (\frac {2}{t}\right )\right ) + c_2 \end{align*}

\begin{align*} y&= {\mathrm e}^{-\frac {2}{t}} c_1 t -2 \,\operatorname {Ei}_{1}\left (\frac {2}{t}\right ) c_1 +c_2 \end{align*}

Will add steps showing solving for IC soon.

1.51.2 Solved as second order ode using non constant coeff transformation on B method

Time used: 0.070 (sec)

Given an ode of the form

\begin{align*} A y^{\prime \prime } + B y^{\prime } + C y &= F(t) \end{align*}

This method reduces the order ode the ODE by one by applying the transformation

\begin{align*} y&= B v \end{align*}

This results in

\begin{align*} y' &=B' v+ v' B \\ y'' &=B'' v+ B' v' +v'' B + v' B' \\ &=v'' B+2 v'+ B'+B'' v \end{align*}

And now the original ode becomes

\begin{align*} A\left ( v'' B+2v'B'+ B'' v\right )+B\left ( B'v+ v' B\right ) +CBv & =0\\ ABv'' +\left ( 2AB'+B^{2}\right ) v'+\left (AB''+BB'+CB\right ) v & =0 \tag {1} \end{align*}

If the term \(AB''+BB'+CB\) is zero, then this method works and can be used to solve

\[ ABv''+\left ( 2AB' +B^{2}\right ) v'=0 \]

By Using \(u=v'\) which reduces the order of the above ode to one. The new ode is

\[ ABu'+\left ( 2AB'+B^{2}\right ) u=0 \]

The above ode is first order ode which is solved for \(u\). Now a new ode \(v'=u\) is solved for \(v\) as first order ode. Then the final solution is obtain from \(y=Bv\).

This method works only if the term \(AB''+BB'+CB\) is zero. The given ODE shows that

\begin{align*} A &= t^{2}\\ B &= -2\\ C &= 0\\ F &= 0 \end{align*}

The above shows that for this ode

\begin{align*} AB''+BB'+CB &= \left (t^{2}\right ) \left (0\right ) + \left (-2\right ) \left (0\right ) + \left (0\right ) \left (-2\right ) \\ &=0 \end{align*}

Hence the ode in \(v\) given in (1) now simplifies to

\begin{align*} -2 t^{2} v'' +\left ( 4\right ) v' & =0 \end{align*}

Now by applying \(v'=u\) the above becomes

\begin{align*} -2 t^{2} u^{\prime }\left (t \right )+4 u \left (t \right ) = 0 \end{align*}

Which is now solved for \(u\). In canonical form a linear first order is

\begin{align*} u^{\prime }\left (t \right ) + q(t)u \left (t \right ) &= p(t) \end{align*}

Comparing the above to the given ode shows that

\begin{align*} q(t) &=-\frac {2}{t^{2}}\\ p(t) &=0 \end{align*}

The integrating factor \(\mu \) is

\begin{align*} \mu &= e^{\int {q\,dt}}\\ &= {\mathrm e}^{\int -\frac {2}{t^{2}}d t}\\ &= {\mathrm e}^{\frac {2}{t}} \end{align*}

The ode becomes

\begin{align*} \frac {\mathop {\mathrm {d}}}{ \mathop {\mathrm {d}t}} \mu u &= 0 \\ \frac {\mathop {\mathrm {d}}}{ \mathop {\mathrm {d}t}} \left (u \,{\mathrm e}^{\frac {2}{t}}\right ) &= 0 \end{align*}

Integrating gives

\begin{align*} u \,{\mathrm e}^{\frac {2}{t}}&= \int {0 \,dt} + c_1 \\ &=c_1 \end{align*}

Dividing throughout by the integrating factor \({\mathrm e}^{\frac {2}{t}}\) gives the final solution

\[ u \left (t \right ) = {\mathrm e}^{-\frac {2}{t}} c_1 \]

The ode for \(v\) now becomes

\[ v^{\prime }\left (t \right ) = {\mathrm e}^{-\frac {2}{t}} c_1 \]

Which is now solved for \(v\). Since the ode has the form \(v^{\prime }\left (t \right )=f(t)\), then we only need to integrate \(f(t)\).

\begin{align*} \int {dv} &= \int {{\mathrm e}^{-\frac {2}{t}} c_1\, dt}\\ v \left (t \right ) &= c_1 \left (t \,{\mathrm e}^{-\frac {2}{t}}-2 \,\operatorname {Ei}_{1}\left (\frac {2}{t}\right )\right ) + c_2 \end{align*}

\begin{align*} v \left (t \right )&= {\mathrm e}^{-\frac {2}{t}} c_1 t -2 \,\operatorname {Ei}_{1}\left (\frac {2}{t}\right ) c_1 +c_2 \end{align*}

Replacing \(v \left (t \right )\) above by \(-\frac {y}{2}\), then the solution becomes

\begin{align*} y(t) &= B v\\ &= -2 \,{\mathrm e}^{-\frac {2}{t}} c_1 t +4 \,\operatorname {Ei}_{1}\left (\frac {2}{t}\right ) c_1 -2 c_2 \end{align*}

Will add steps showing solving for IC soon.

1.51.3 Solved as second order ode using Kovacic algorithm

Time used: 0.138 (sec)

Writing the ode as

\begin{align*} t^{2} y^{\prime \prime }-2 y^{\prime } &= 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 &= t^{2} \\ B &= -2\tag {3} \\ C &= 0 \end{align*}

Applying the Liouville transformation on the dependent variable gives

\begin{align*} z(t) &= y e^{\int \frac {B}{2 A} \,dt} \end{align*}

Then (2) becomes

\begin{align*} z''(t) = r z(t)\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 {1+2 t}{t^{4}}\tag {6} \end{align*}

Comparing the above to (5) shows that

\begin{align*} s &= 1+2 t\\ t &= t^{4} \end{align*}

Therefore eq. (4) becomes

\begin{align*} z''(t) &= \left ( \frac {1+2 t}{t^{4}}\right ) z(t)\tag {7} \end{align*}

Equation (7) is now solved. After finding \(z(t)\) then \(y\) is found using the inverse transformation

\begin{align*} y &= z \left (t \right ) e^{-\int \frac {B}{2 A} \,dt} \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	\(\left \{ 1,2\right \} \)	\(\left \{ 2,3,4,5,6,7,\cdots \right \} \)

Table 9: Necessary conditions for each Kovacic case

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) \\ &= 4 - 1 \\ &= 3 \end{align*}

The poles of \(r\) in eq. (7) and the order of each pole are determined by solving for the roots of \(t=t^{4}\). There is a pole at \(t=0\) of order \(4\). Since there is no odd order pole larger than \(2\) and the order at \(\infty \) is \(3\) then the necessary conditions for case one are met. Therefore

\begin{align*} L &= [1] \end{align*}

Attempting to find a solution using case \(n=1\).

Looking at higher order poles of order \(2 v \)≥\( 4\) (must be even order for case one).Then for each pole \(c\), \([\sqrt r]_{c}\) is the sum of terms \(\frac {1}{(t-c)^i}\) for \(2 \leq i \leq v\) in the Laurent series expansion of \(\sqrt r\) expanded around each pole \(c\). Hence

\begin{align*} [\sqrt r]_c &= \sum _2^v \frac {a_i}{ (t-c)^i} \tag {1B} \end{align*}

Let \(a\) be the coefficient of the term \(\frac {1}{ (t-c)^v}\) in the above where \(v\) is the pole order divided by 2. Let \(b\) be the coefficient of \(\frac {1}{ (t-c)^{v+1}} \) in \(r\) minus the coefficient of \(\frac {1}{ (t-c)^{v+1}} \) in \([\sqrt r]_c\). Then

\begin{alignat*}{1} \alpha _c^{+} &= \frac {1}{2} \left ( \frac {b}{a} + v \right ) \\ \alpha _c^{-} &= \frac {1}{2} \left (- \frac {b}{a} + v \right ) \end{alignat*}

The partial fraction decomposition of \(r\) is

\[ r = \frac {1}{t^{4}}+\frac {2}{t^{3}} \]

There is pole in \(r\) at \(t= 0\) of order \(4\), hence \(v=2\). Expanding \(\sqrt {r}\) as Laurent series about this pole \(c=0\) gives

\[ [\sqrt {r}]_c \approx \frac {1}{t^{2}}+\frac {1}{t}-\frac {1}{2}+\frac {t}{2}-\frac {5 t^{2}}{8}+\frac {7 t^{3}}{8} + \dots \tag {2B} \]

Using eq. (1B), taking the sum up to \(v=2\) the above becomes

\[ [\sqrt {r}]_c = \frac {1}{t^{2}} \tag {3B} \]

The above shows that the coefficient of \(\frac {1}{(t-0)^{2}}\) is

\[ a = 1 \]

Now we need to find \(b\). let \(b\) be the coefficient of the term \(\frac {1}{(t-c)^{v+1}}\) in \(r\) minus the coefficient of the same term but in the sum \([\sqrt r]_c \) found in eq. (3B). Here \(c\) is current pole which is \(c=0\). This term becomes \(\frac {1}{t^{3}}\). The coefficient of this term in the sum \([\sqrt r]_c\) is seen to be \(0\) and the coefficient of this term \(r\) is found from the partial fraction decomposition from above to be \(2\). Therefore

\begin{align*} b &= \left (2\right )-(0)\\ &= 2 \end{align*}

Hence

\begin{alignat*}{3} [\sqrt r]_c &= \frac {1}{t^{2}} \\ \alpha _c^{+} &= \frac {1}{2} \left ( \frac {b}{a} + v \right ) &&= \frac {1}{2} \left ( \frac {2}{1} + 2 \right ) &&=2\\ \alpha _c^{-} &= \frac {1}{2} \left (- \frac {b}{a} + v \right ) &&= \frac {1}{2} \left (- \frac {2}{1} + 2 \right )&&=0 \end{alignat*}

Since the order of \(r\) at \(\infty \) is \(3 > 2\) then

\begin{alignat*}{2} [\sqrt r]_\infty &= 0 \\ \alpha _{\infty }^{+} &= 0 \\ \alpha _{\infty }^{-} &= 1 \end{alignat*}

The following table summarizes the findings so far for poles and for the order of \(r\) at \(\infty \) where \(r\) is

\[ r=\frac {1+2 t}{t^{4}} \]

pole \(c\) location	pole order	\([\sqrt r]_c\)	\(\alpha _c^{+}\)	\(\alpha _c^{-}\)
\(0\)	\(4\)	\(\frac {1}{t^{2}}\)	\(2\)	\(0\)

Order of \(r\) at \(\infty \)	\([\sqrt r]_\infty \)	\(\alpha _\infty ^{+}\)	\(\alpha _\infty ^{-}\)
\(3\)	\(0\)	\(0\)	\(1\)

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 \(\alpha _\infty ^{+} = 0\) then

\begin{align*} d &= \alpha _\infty ^{+} - \left ( \alpha _{c_1}^{-} \right ) \\ &= 0 - \left ( 0 \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)}}{t-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}^{-} }{t- c_1}\right ) + (+) [\sqrt r]_\infty \\ &= -\frac {1}{t^{2}} + \left ( 0 \right ) \\ &= -\frac {1}{t^{2}}\\ &= -\frac {1}{t^{2}} \end{align*}

Now that \(\omega \) is determined, the next step is find a corresponding minimal polynomial \(p(t)\) of degree \(d=0\) to solve the ode. The polynomial \(p(t)\) 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(t) &= 1\tag {2A} \end{align*}

Substituting the above in eq. (1A) gives

\begin{align*} \left (0\right ) + 2 \left (-\frac {1}{t^{2}}\right ) \left (0\right ) + \left ( \left (\frac {2}{t^{3}}\right ) + \left (-\frac {1}{t^{2}}\right )^2 - \left (\frac {1+2 t}{t^{4}}\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(t) &= p e^{ \int \omega \,dt} \\ &= {\mathrm e}^{\int -\frac {1}{t^{2}}d t}\\ &= {\mathrm e}^{\frac {1}{t}} \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} \,dt} \\ &= z_1 e^{ -\int \frac {1}{2} \frac {-2}{t^{2}} \,dt} \\ &= z_1 e^{-\frac {1}{t}} \\ &= z_1 \left ({\mathrm e}^{-\frac {1}{t}}\right ) \\ \end{align*}

Which simplifies to

\[ y_1 = 1 \]

The second solution \(y_2\) to the original ode is found using reduction of order

\[ y_2 = y_1 \int \frac { e^{\int -\frac {B}{A} \,dt}}{y_1^2} \,dt \]

Substituting gives

\begin{align*} y_2 &= y_1 \int \frac { e^{\int -\frac {-2}{t^{2}} \,dt}}{\left (y_1\right )^2} \,dt \\ &= y_1 \int \frac { e^{-\frac {2}{t}}}{\left (y_1\right )^2} \,dt \\ &= y_1 \left (t \,{\mathrm e}^{-\frac {2}{t}}-2 \,\operatorname {Ei}_{1}\left (\frac {2}{t}\right )\right ) \\ \end{align*}

Therefore the solution is

\begin{align*} y &= c_1 y_1 + c_2 y_2 \\ &= c_1 \left (1\right ) + c_2 \left (1\left (t \,{\mathrm e}^{-\frac {2}{t}}-2 \,\operatorname {Ei}_{1}\left (\frac {2}{t}\right )\right )\right ) \\ \end{align*}

Will add steps showing solving for IC soon.

1.51.4 Solved as second order ode adjoint method

Time used: 0.571 (sec)

In normal form the ode

\begin{align*} t^{2} y^{\prime \prime }-2 y^{\prime } = 0 \tag {1} \end{align*}

Becomes

\begin{align*} y^{\prime \prime }+p \left (t \right ) y^{\prime }+q \left (t \right ) y&=r \left (t \right ) \tag {2} \end{align*}

Where

\begin{align*} p \left (t \right )&=-\frac {2}{t^{2}}\\ q \left (t \right )&=0\\ r \left (t \right )&=0 \end{align*}

The Lagrange adjoint ode is given by

\begin{align*} \xi ^{''}-(\xi \, p)'+\xi q &= 0\\ \xi ^{''}-\left (-\frac {2 \xi \left (t \right )}{t^{2}}\right )' + \left (0\right ) &= 0\\ \xi ^{\prime \prime }\left (t \right )-\frac {4 \xi \left (t \right )}{t^{3}}+\frac {2 \xi ^{\prime }\left (t \right )}{t^{2}}&= 0 \end{align*}

Which is solved for \(\xi (t)\). An ode of the form

\begin{align*} p \left (t \right ) \xi ^{\prime \prime }+q \left (t \right ) \xi ^{\prime }+r \left (t \right ) \xi &=s \left (t \right ) \end{align*}

is exact if

\begin{align*} p''(t) - q'(t) + r(t) &= 0 \tag {1} \end{align*}

For the given ode we have

\begin{align*} p(x) &= 1\\ q(x) &= \frac {2}{t^{2}}\\ r(x) &= -\frac {4}{t^{3}}\\ s(x) &= 0 \end{align*}

Hence

\begin{align*} p''(x) &= 0\\ q'(x) &= -\frac {4}{t^{3}} \end{align*}

Therefore (1) becomes

\begin{align*} 0- \left (-\frac {4}{t^{3}}\right ) + \left (-\frac {4}{t^{3}}\right )&=0 \end{align*}

Hence the ode is exact. Since we now know the ode is exact, it can be written as

\begin{align*} \left (p \left (t \right ) \xi ^{\prime }+\left (q \left (t \right )-p^{\prime }\left (t \right )\right ) \xi \right )' &= s(x) \end{align*}

Integrating gives

\begin{align*} p \left (t \right ) \xi ^{\prime }+\left (q \left (t \right )-p^{\prime }\left (t \right )\right ) \xi &=\int {s \left (t \right )\, dt} \end{align*}

Substituting the above values for \(p,q,r,s\) gives

\begin{align*} \xi ^{\prime }+\frac {2 \xi }{t^{2}}&=c_1 \end{align*}

We now have a first order ode to solve which is

\begin{align*} \xi ^{\prime }+\frac {2 \xi }{t^{2}} = c_1 \end{align*}

In canonical form a linear first order is

\begin{align*} \xi ^{\prime } + q(t)\xi &= p(t) \end{align*}

Comparing the above to the given ode shows that

\begin{align*} q(t) &=\frac {2}{t^{2}}\\ p(t) &=c_1 \end{align*}

The integrating factor \(\mu \) is

\begin{align*} \mu &= e^{\int {q\,dt}}\\ &= {\mathrm e}^{\int \frac {2}{t^{2}}d t}\\ &= {\mathrm e}^{-\frac {2}{t}} \end{align*}

The ode becomes

\begin{align*} \frac {\mathop {\mathrm {d}}}{ \mathop {\mathrm {d}t}}\left ( \mu \xi \right ) &= \mu p \\ \frac {\mathop {\mathrm {d}}}{ \mathop {\mathrm {d}t}}\left ( \mu \xi \right ) &= \left (\mu \right ) \left (c_1\right ) \\ \frac {\mathop {\mathrm {d}}}{ \mathop {\mathrm {d}t}} \left (\xi \,{\mathrm e}^{-\frac {2}{t}}\right ) &= \left ({\mathrm e}^{-\frac {2}{t}}\right ) \left (c_1\right ) \\ \mathrm {d} \left (\xi \,{\mathrm e}^{-\frac {2}{t}}\right ) &= \left ({\mathrm e}^{-\frac {2}{t}} c_1\right )\, \mathrm {d} t \\ \end{align*}

Integrating gives

\begin{align*} \xi \,{\mathrm e}^{-\frac {2}{t}}&= \int {{\mathrm e}^{-\frac {2}{t}} c_1 \,dt} \\ &=c_1 \left (t \,{\mathrm e}^{-\frac {2}{t}}-2 \,\operatorname {Ei}_{1}\left (\frac {2}{t}\right )\right ) + c_2 \end{align*}

Dividing throughout by the integrating factor \({\mathrm e}^{-\frac {2}{t}}\) gives the final solution

\[ \xi = -2 \,{\mathrm e}^{\frac {2}{t}} \operatorname {Ei}_{1}\left (\frac {2}{t}\right ) c_1 +c_2 \,{\mathrm e}^{\frac {2}{t}}+c_1 t \]

Will add steps showing solving for IC soon.

The original ode (2) now reduces to first order ode

\begin{align*} \xi \left (t \right ) y^{\prime }-y \xi ^{\prime }\left (t \right )+\xi \left (t \right ) p \left (t \right ) y&=\int \xi \left (t \right ) r \left (t \right )d t\\ y^{\prime }+y \left (p \left (t \right )-\frac {\xi ^{\prime }\left (t \right )}{\xi \left (t \right )}\right )&=\frac {\int \xi \left (t \right ) r \left (t \right )d t}{\xi \left (t \right )}\\ y^{\prime }+y \left (-\frac {2}{t^{2}}-\frac {\frac {4 \,{\mathrm e}^{\frac {2}{t}} \operatorname {Ei}_{1}\left (\frac {2}{t}\right ) c_1}{t^{2}}-\frac {2 \,{\mathrm e}^{\frac {2}{t}} {\mathrm e}^{-\frac {2}{t}} c_1}{t}-\frac {2 c_2 \,{\mathrm e}^{\frac {2}{t}}}{t^{2}}+c_1}{-2 \,{\mathrm e}^{\frac {2}{t}} \operatorname {Ei}_{1}\left (\frac {2}{t}\right ) c_1 +c_2 \,{\mathrm e}^{\frac {2}{t}}+c_1 t}\right )&=0 \end{align*}

Which is now a first order ode. This is now solved for \(y\). In canonical form a linear first order is

\begin{align*} y^{\prime } + q(t)y &= p(t) \end{align*}

Comparing the above to the given ode shows that

\begin{align*} q(t) &=-\frac {c_1 \left (2 \,{\mathrm e}^{\frac {2}{t}} {\mathrm e}^{-\frac {2}{t}}-t -2\right )}{t \left (2 \,{\mathrm e}^{\frac {2}{t}} \operatorname {Ei}_{1}\left (\frac {2}{t}\right ) c_1 -c_2 \,{\mathrm e}^{\frac {2}{t}}-c_1 t \right )}\\ p(t) &=0 \end{align*}

The integrating factor \(\mu \) is

\begin{align*} \mu &= e^{\int {q\,dt}}\\ &= {\mathrm e}^{\int -\frac {c_1 \left (2 \,{\mathrm e}^{\frac {2}{t}} {\mathrm e}^{-\frac {2}{t}}-t -2\right )}{t \left (2 \,{\mathrm e}^{\frac {2}{t}} \operatorname {Ei}_{1}\left (\frac {2}{t}\right ) c_1 -c_2 \,{\mathrm e}^{\frac {2}{t}}-c_1 t \right )}d t}\\ &= \frac {{\mathrm e}^{\frac {2}{t}}}{-2 \,{\mathrm e}^{\frac {2}{t}} \operatorname {Ei}_{1}\left (\frac {2}{t}\right ) c_1 +c_2 \,{\mathrm e}^{\frac {2}{t}}+c_1 t} \end{align*}

The ode becomes

\begin{align*} \frac {\mathop {\mathrm {d}}}{ \mathop {\mathrm {d}t}} \mu y &= 0 \\ \frac {\mathop {\mathrm {d}}}{ \mathop {\mathrm {d}t}} \left (\frac {y \,{\mathrm e}^{\frac {2}{t}}}{-2 \,{\mathrm e}^{\frac {2}{t}} \operatorname {Ei}_{1}\left (\frac {2}{t}\right ) c_1 +c_2 \,{\mathrm e}^{\frac {2}{t}}+c_1 t}\right ) &= 0 \end{align*}

Integrating gives

\begin{align*} \frac {y \,{\mathrm e}^{\frac {2}{t}}}{-2 \,{\mathrm e}^{\frac {2}{t}} \operatorname {Ei}_{1}\left (\frac {2}{t}\right ) c_1 +c_2 \,{\mathrm e}^{\frac {2}{t}}+c_1 t}&= \int {0 \,dt} + c_3 \\ &=c_3 \end{align*}

Dividing throughout by the integrating factor \(\frac {{\mathrm e}^{\frac {2}{t}}}{-2 \,{\mathrm e}^{\frac {2}{t}} \operatorname {Ei}_{1}\left (\frac {2}{t}\right ) c_1 +c_2 \,{\mathrm e}^{\frac {2}{t}}+c_1 t}\) gives the final solution

\[ y = c_3 \left ({\mathrm e}^{-\frac {2}{t}} c_1 t -2 \,\operatorname {Ei}_{1}\left (\frac {2}{t}\right ) c_1 +c_2 \right ) \]

Hence, the solution found using Lagrange adjoint equation method is

\begin{align*} y &= c_3 \left ({\mathrm e}^{-\frac {2}{t}} c_1 t -2 \,\operatorname {Ei}_{1}\left (\frac {2}{t}\right ) c_1 +c_2 \right ) \\ \end{align*}

Will add steps showing solving for IC soon.

1.51.5 Maple step by step solution

1.51.6 Maple trace

Methods for second order ODEs:
 

1.51.7 Maple dsolve solution

Solving time : 0.001 (sec)
Leaf size : 25

dsolve(t^2*diff(diff(y(t),t),t)-2*diff(y(t),t) = 0, 
       y(t),singsol=all)
 

\[ y = {\mathrm e}^{-\frac {2}{t}} c_2 t -2 \,\operatorname {Ei}_{1}\left (\frac {2}{t}\right ) c_2 +c_1 \]

1.51.8 Mathematica DSolve solution

Solving time : 0.018 (sec)
Leaf size : 29

DSolve[{t^2*D[y[t],{t,2}]-2*D[y[t],t]==0,{}}, 
       y[t],t,IncludeSingularSolutions->True]
 

\[ y(t)\to 2 c_1 \operatorname {ExpIntegralEi}\left (-\frac {2}{t}\right )+c_1 e^{-2/t} t+c_2 \]