20.23 problem 662

20.23.1 Solving as second order ode missing y ode
20.23.2 Solving using Kovacic algorithm
20.23.3 Maple step by step solution

Internal problem ID [15426]
Internal file name [OUTPUT/15427_Wednesday_May_08_2024_03_58_34_PM_61185690/index.tex]

Book: A book of problems in ordinary differential equations. M.L. KRASNOV, A.L. KISELYOV, G.I. MARKARENKO. MIR, MOSCOW. 1983
Section: Chapter 2 (Higher order ODE’s). Section 15.5 Linear equations with variable coefficients. The Lagrange method. Exercises page 148
Problem number: 662.
ODE order: 2.
ODE degree: 1.

The type(s) of ODE detected by this program : "kovacic", "second_order_ode_missing_y"

Maple gives the following as the ode type

[[_2nd_order, _missing_y]]

\[ \boxed {x y^{\prime \prime }-\left (2 x^{2}+1\right ) y^{\prime }=4 x^{3} {\mathrm e}^{x^{2}}} \]

20.23.1 Solving as second order ode missing y ode

This is second order ode with missing dependent variable \(y\). Let \begin {align*} p(x) &= y^{\prime } \end {align*}

Then \begin {align*} p'(x) &= y^{\prime \prime } \end {align*}

Hence the ode becomes \begin {align*} p^{\prime }\left (x \right ) x +\left (-2 x^{2}-1\right ) p \left (x \right )-4 x^{3} {\mathrm e}^{x^{2}} = 0 \end {align*}

Which is now solve for \(p(x)\) as first order ode.

Entering Linear first order ODE solver. In canonical form a linear first order is \begin {align*} p^{\prime }\left (x \right ) + p(x)p \left (x \right ) &= q(x) \end {align*}

Where here \begin {align*} p(x) &=-\frac {2 x^{2}+1}{x}\\ q(x) &=4 x^{2} {\mathrm e}^{x^{2}} \end {align*}

Hence the ode is \begin {align*} p^{\prime }\left (x \right )-\frac {\left (2 x^{2}+1\right ) p \left (x \right )}{x} = 4 x^{2} {\mathrm e}^{x^{2}} \end {align*}

The integrating factor \(\mu \) is \begin{align*} \mu &= {\mathrm e}^{\int -\frac {2 x^{2}+1}{x}d x} \\ &= {\mathrm e}^{-x^{2}-\ln \left (x \right )} \\ \end{align*} Which simplifies to \[ \mu = \frac {{\mathrm e}^{-x^{2}}}{x} \] The ode becomes \begin {align*} \frac {\mathop {\mathrm {d}}}{ \mathop {\mathrm {d}x}}\left ( \mu p\right ) &= \left (\mu \right ) \left (4 x^{2} {\mathrm e}^{x^{2}}\right ) \\ \frac {\mathop {\mathrm {d}}}{ \mathop {\mathrm {d}x}} \left (\frac {{\mathrm e}^{-x^{2}} p}{x}\right ) &= \left (\frac {{\mathrm e}^{-x^{2}}}{x}\right ) \left (4 x^{2} {\mathrm e}^{x^{2}}\right )\\ \mathrm {d} \left (\frac {{\mathrm e}^{-x^{2}} p}{x}\right ) &= \left (4 x\right )\, \mathrm {d} x \end {align*}

Integrating gives \begin {align*} \frac {{\mathrm e}^{-x^{2}} p}{x} &= \int {4 x\,\mathrm {d} x}\\ \frac {{\mathrm e}^{-x^{2}} p}{x} &= 2 x^{2} + c_{1} \end {align*}

Dividing both sides by the integrating factor \(\mu =\frac {{\mathrm e}^{-x^{2}}}{x}\) results in \begin {align*} p \left (x \right ) &= 2 x^{3} {\mathrm e}^{x^{2}}+c_{1} x \,{\mathrm e}^{x^{2}} \end {align*}

which simplifies to \begin {align*} p \left (x \right ) &= {\mathrm e}^{x^{2}} x \left (2 x^{2}+c_{1} \right ) \end {align*}

Since \(p=y^{\prime }\) then the new first order ode to solve is \begin {align*} y^{\prime } = {\mathrm e}^{x^{2}} x \left (2 x^{2}+c_{1} \right ) \end {align*}

Integrating both sides gives \begin {align*} y &= \int { {\mathrm e}^{x^{2}} x \left (2 x^{2}+c_{1} \right )\,\mathop {\mathrm {d}x}}\\ &= \left (x^{2}-1+\frac {c_{1}}{2}\right ) {\mathrm e}^{x^{2}}+c_{2} \end {align*}

Summary

The solution(s) found are the following \begin{align*} \tag{1} y &= \left (x^{2}-1+\frac {c_{1}}{2}\right ) {\mathrm e}^{x^{2}}+c_{2} \\ \end{align*}

Verification of solutions

\[ y = \left (x^{2}-1+\frac {c_{1}}{2}\right ) {\mathrm e}^{x^{2}}+c_{2} \] Verified OK.

20.23.2 Solving using Kovacic algorithm

Writing the ode as \begin {align*} x y^{\prime \prime }+\left (-2 x^{2}-1\right ) 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 &= x \\ B &= -2 x^{2}-1\tag {3} \\ C &= 0 \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 {4 x^{4}+3}{4 x^{2}}\tag {6} \end {align*}

Comparing the above to (5) shows that \begin {align*} s &= 4 x^{4}+3\\ t &= 4 x^{2} \end {align*}

Therefore eq. (4) becomes \begin {align*} z''(x) &= \left ( \frac {4 x^{4}+3}{4 x^{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

\(\left \{ 1,2\right \} \)

\(\left \{ 2,3,4,5,6,7,\cdots \right \} \)

Table 334: 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) \\ &= 2 - 4 \\ &= -2 \end {align*}

The poles of \(r\) in eq. (7) and the order of each pole are determined by solving for the roots of \(t=4 x^{2}\). There is a pole at \(x=0\) of order \(2\). Since there is no odd order pole larger than \(2\) and the order at \(\infty \) is \(-2\) 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 \[ r = x^{2}+\frac {3}{4 x^{2}} \] For the pole at \(x=0\) let \(b\) be the coefficient of \(\frac {1}{ x^{2}}\) 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 \(O_r(\infty ) = -2\) then \begin {alignat*} {3} v &= \frac {-O_r(\infty )}{2} &&= \frac {2}{2} &&= 1 \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}^{1} a_i x^i \tag {8} \end {align*}

Let \(a\) be the coefficient of \(x^v=x^1\) in the above sum. The Laurent series of \(\sqrt r\) at \(\infty \) is \[ \sqrt r \approx x +\frac {3}{8 x^{3}}-\frac {9}{128 x^{7}}+\frac {27}{1024 x^{11}}-\frac {405}{32768 x^{15}}+\frac {1701}{262144 x^{19}}-\frac {15309}{4194304 x^{23}}+\frac {72171}{33554432 x^{27}} + \dots \tag {9} \] Comparing Eq. (9) with Eq. (8) shows that \[ a = 1 \] From Eq. (9) the sum up to \(v=1\) gives \begin {align*} [\sqrt r]_\infty &= \sum _{i=0}^{1} a_i x^i \\ &= x \tag {10} \end {align*}

Now we need to find \(b\), where \(b\) be the coefficient of \(x^{v-1} = x^{0}=1\) 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 \[ \left ( [\sqrt r]_\infty \right )^2 = x^{2} \] This shows that the coefficient of \(1\) in the above is \(0\). Now we need to find the coefficient of \(1\) in \(r\). How this is done depends on if \(v=0\) or not. Since \(v=1\) which is not zero, then starting \(r=\frac {s}{t}\), we do long division and write this in the form \[ r = Q + \frac {R}{t} \] Where \(Q\) is the quotient and \(R\) is the remainder. Then the coefficient of \(1\) in \(r\) will be the coefficient this term in the quotient. Doing long division gives \begin {align*} r &= \frac {s}{t} \\ &= \frac {4 x^{4}+3}{4 x^{2}} \\ &= Q + \frac {R}{4 x^{2}} \\ &= \left (x^{2}\right ) + \left ( \frac {3}{4 x^{2}}\right ) \\ &= x^{2}+\frac {3}{4 x^{2}} \end {align*}

We see that the coefficient of the term \(x\) in the quotient is \(0\). Now \(b\) can be found. \begin {align*} b &= \left (0\right )-\left (0\right )\\ &= 0 \end {align*}

Hence \begin {alignat*} {3} [\sqrt r]_\infty &= x\\ \alpha _{\infty }^{+} &= \frac {1}{2} \left ( \frac {b}{a} - v \right ) &&= \frac {1}{2} \left ( \frac {0}{1} - 1 \right ) &&= -{\frac {1}{2}}\\ \alpha _{\infty }^{-} &= \frac {1}{2} \left ( -\frac {b}{a} - v \right ) &&= \frac {1}{2} \left ( -\frac {0}{1} - 1 \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 \[ r=\frac {4 x^{4}+3}{4 x^{2}} \]

pole \(c\) location pole order \([\sqrt r]_c\) \(\alpha _c^{+}\) \(\alpha _c^{-}\)
\(0\) \(2\) \(0\) \(\frac {3}{2}\) \(-{\frac {1}{2}}\)

Order of \(r\) at \(\infty \) \([\sqrt r]_\infty \) \(\alpha _\infty ^{+}\) \(\alpha _\infty ^{-}\)
\(-2\) \(x\) \(-{\frac {1}{2}}\) \(-{\frac {1}{2}}\)

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*}

The above gives \begin {align*} \omega &= \left ( (-)[\sqrt r]_{c_1} + \frac { \alpha _{c_1}^{-} }{x- c_1}\right ) + (-) [\sqrt r]_\infty \\ &= -\frac {1}{2 x} + (-) \left ( x \right ) \\ &= -\frac {1}{2 x}-x\\ &= -\frac {1}{2 x}-x \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 x}-x\right ) \left (0\right ) + \left ( \left (\frac {1}{2 x^{2}}-1\right ) + \left (-\frac {1}{2 x}-x\right )^2 - \left (\frac {4 x^{4}+3}{4 x^{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 x}-x \right )d x}\\ &= \frac {{\mathrm e}^{-\frac {x^{2}}{2}}}{\sqrt {x}} \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 {-2 x^{2}-1}{x} \,dx} \\ &= z_1 e^{\frac {x^{2}}{2}+\frac {\ln \left (x \right )}{2}} \\ &= z_1 \left (\sqrt {x}\, {\mathrm e}^{\frac {x^{2}}{2}}\right ) \\ \end{align*} Which simplifies to \[ y_1 = 1 \] The second solution \(y_2\) to the original ode is found using reduction of order \[ y_2 = y_1 \int \frac { e^{\int -\frac {B}{A} \,dx}}{y_1^2} \,dx \] Substituting gives \begin{align*} y_2 &= y_1 \int \frac { e^{\int -\frac {-2 x^{2}-1}{x} \,dx}}{\left (y_1\right )^2} \,dx \\ &= y_1 \int \frac { e^{x^{2}+\ln \left (x \right )}}{\left (y_1\right )^2} \,dx \\ &= y_1 \left (\frac {{\mathrm e}^{x^{2}}}{2}\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 (\frac {{\mathrm e}^{x^{2}}}{2}\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 \[ x y^{\prime \prime }+\left (-2 x^{2}-1\right ) y^{\prime } = 0 \] The homogeneous solution is found using the Kovacic algorithm which results in \[ y_h = c_{1} +\frac {c_{2} {\mathrm e}^{x^{2}}}{2} \] 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 &= 1 \\ y_2 &= \frac {{\mathrm e}^{x^{2}}}{2} \\ \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 \[ W = \begin {vmatrix} 1 & \frac {{\mathrm e}^{x^{2}}}{2} \\ \frac {d}{dx}\left (1\right ) & \frac {d}{dx}\left (\frac {{\mathrm e}^{x^{2}}}{2}\right ) \end {vmatrix} \] Which gives \[ W = \begin {vmatrix} 1 & \frac {{\mathrm e}^{x^{2}}}{2} \\ 0 & x \,{\mathrm e}^{x^{2}} \end {vmatrix} \] Therefore \[ W = \left (1\right )\left (x \,{\mathrm e}^{x^{2}}\right ) - \left (\frac {{\mathrm e}^{x^{2}}}{2}\right )\left (0\right ) \] Which simplifies to \[ W = x \,{\mathrm e}^{x^{2}} \] Which simplifies to \[ W = x \,{\mathrm e}^{x^{2}} \] Therefore Eq. (2) becomes \[ u_1 = -\int \frac {2 \,{\mathrm e}^{2 x^{2}} x^{3}}{x^{2} {\mathrm e}^{x^{2}}}\,dx \] Which simplifies to \[ u_1 = - \int 2 x \,{\mathrm e}^{x^{2}}d x \] Hence \[ u_1 = -{\mathrm e}^{x^{2}} \] And Eq. (3) becomes \[ u_2 = \int \frac {4 x^{3} {\mathrm e}^{x^{2}}}{x^{2} {\mathrm e}^{x^{2}}}\,dx \] Which simplifies to \[ u_2 = \int 4 x d x \] Hence \[ u_2 = 2 x^{2} \] Therefore the particular solution, from equation (1) is \[ y_p(x) = x^{2} {\mathrm e}^{x^{2}}-{\mathrm e}^{x^{2}} \] Which simplifies to \[ y_p(x) = {\mathrm e}^{x^{2}} \left (x^{2}-1\right ) \] Therefore the general solution is \begin{align*} y &= y_h + y_p \\ &= \left (c_{1} +\frac {c_{2} {\mathrm e}^{x^{2}}}{2}\right ) + \left ({\mathrm e}^{x^{2}} \left (x^{2}-1\right )\right ) \\ \end{align*}

Summary

The solution(s) found are the following \begin{align*} \tag{1} y &= c_{1} +\frac {c_{2} {\mathrm e}^{x^{2}}}{2}+{\mathrm e}^{x^{2}} \left (x^{2}-1\right ) \\ \end{align*}

Verification of solutions

\[ y = c_{1} +\frac {c_{2} {\mathrm e}^{x^{2}}}{2}+{\mathrm e}^{x^{2}} \left (x^{2}-1\right ) \] Verified OK.

20.23.3 Maple step by step solution

\[ \begin {array}{lll} & {} & \textrm {Let's solve}\hspace {3pt} \\ {} & {} & y^{\prime \prime } x +\left (-2 x^{2}-1\right ) y^{\prime }=4 x^{3} {\mathrm e}^{x^{2}} \\ \bullet & {} & \textrm {Highest derivative means the order of the ODE is}\hspace {3pt} 2 \\ {} & {} & y^{\prime \prime } \\ \bullet & {} & \textrm {Make substitution}\hspace {3pt} u =y^{\prime }\hspace {3pt}\textrm {to reduce order of ODE}\hspace {3pt} \\ {} & {} & u^{\prime }\left (x \right ) x +\left (-2 x^{2}-1\right ) u \left (x \right )=4 x^{3} {\mathrm e}^{x^{2}} \\ \bullet & {} & \textrm {Solve for the highest derivative}\hspace {3pt} \\ {} & {} & u^{\prime }\left (x \right )=\frac {-\left (-2 x^{2}-1\right ) u \left (x \right )+4 x^{3} {\mathrm e}^{x^{2}}}{x} \\ \bullet & {} & \textrm {Collect w.r.t.}\hspace {3pt} u \left (x \right )\hspace {3pt}\textrm {and simplify}\hspace {3pt} \\ {} & {} & u^{\prime }\left (x \right )=\frac {\left (2 x^{2}+1\right ) u \left (x \right )}{x}+4 x^{2} {\mathrm e}^{x^{2}} \\ \bullet & {} & \textrm {Group terms with}\hspace {3pt} u \left (x \right )\hspace {3pt}\textrm {on the lhs of the ODE and the rest on the rhs of the ODE}\hspace {3pt} \\ {} & {} & u^{\prime }\left (x \right )-\frac {\left (2 x^{2}+1\right ) u \left (x \right )}{x}=4 x^{2} {\mathrm e}^{x^{2}} \\ \bullet & {} & \textrm {The ODE is linear; multiply by an integrating factor}\hspace {3pt} \mu \left (x \right ) \\ {} & {} & \mu \left (x \right ) \left (u^{\prime }\left (x \right )-\frac {\left (2 x^{2}+1\right ) u \left (x \right )}{x}\right )=4 \mu \left (x \right ) x^{2} {\mathrm e}^{x^{2}} \\ \bullet & {} & \textrm {Assume the lhs of the ODE is the total derivative}\hspace {3pt} \frac {d}{d x}\left (u \left (x \right ) \mu \left (x \right )\right ) \\ {} & {} & \mu \left (x \right ) \left (u^{\prime }\left (x \right )-\frac {\left (2 x^{2}+1\right ) u \left (x \right )}{x}\right )=u^{\prime }\left (x \right ) \mu \left (x \right )+u \left (x \right ) \mu ^{\prime }\left (x \right ) \\ \bullet & {} & \textrm {Isolate}\hspace {3pt} \mu ^{\prime }\left (x \right ) \\ {} & {} & \mu ^{\prime }\left (x \right )=-\frac {\mu \left (x \right ) \left (2 x^{2}+1\right )}{x} \\ \bullet & {} & \textrm {Solve to find the integrating factor}\hspace {3pt} \\ {} & {} & \mu \left (x \right )=\frac {{\mathrm e}^{-x^{2}}}{x} \\ \bullet & {} & \textrm {Integrate both sides with respect to}\hspace {3pt} x \\ {} & {} & \int \left (\frac {d}{d x}\left (u \left (x \right ) \mu \left (x \right )\right )\right )d x =\int 4 \mu \left (x \right ) x^{2} {\mathrm e}^{x^{2}}d x +c_{1} \\ \bullet & {} & \textrm {Evaluate the integral on the lhs}\hspace {3pt} \\ {} & {} & u \left (x \right ) \mu \left (x \right )=\int 4 \mu \left (x \right ) x^{2} {\mathrm e}^{x^{2}}d x +c_{1} \\ \bullet & {} & \textrm {Solve for}\hspace {3pt} u \left (x \right ) \\ {} & {} & u \left (x \right )=\frac {\int 4 \mu \left (x \right ) x^{2} {\mathrm e}^{x^{2}}d x +c_{1}}{\mu \left (x \right )} \\ \bullet & {} & \textrm {Substitute}\hspace {3pt} \mu \left (x \right )=\frac {{\mathrm e}^{-x^{2}}}{x} \\ {} & {} & u \left (x \right )=\frac {x \left (\int 4 x \,{\mathrm e}^{-x^{2}} {\mathrm e}^{x^{2}}d x +c_{1} \right )}{{\mathrm e}^{-x^{2}}} \\ \bullet & {} & \textrm {Evaluate the integrals on the rhs}\hspace {3pt} \\ {} & {} & u \left (x \right )=\frac {x \left (2 x^{2}+c_{1} \right )}{{\mathrm e}^{-x^{2}}} \\ \bullet & {} & \textrm {Simplify}\hspace {3pt} \\ {} & {} & u \left (x \right )={\mathrm e}^{x^{2}} x \left (2 x^{2}+c_{1} \right ) \\ \bullet & {} & \textrm {Solve 1st ODE for}\hspace {3pt} u \left (x \right ) \\ {} & {} & u \left (x \right )={\mathrm e}^{x^{2}} x \left (2 x^{2}+c_{1} \right ) \\ \bullet & {} & \textrm {Make substitution}\hspace {3pt} u =y^{\prime } \\ {} & {} & y^{\prime }={\mathrm e}^{x^{2}} x \left (2 x^{2}+c_{1} \right ) \\ \bullet & {} & \textrm {Integrate both sides to solve for}\hspace {3pt} y \\ {} & {} & \int y^{\prime }d x =\int {\mathrm e}^{x^{2}} x \left (2 x^{2}+c_{1} \right )d x +c_{2} \\ \bullet & {} & \textrm {Compute integrals}\hspace {3pt} \\ {} & {} & y=\frac {\left (2 x^{2}+c_{1} -2\right ) {\mathrm e}^{x^{2}}}{2}+c_{2} \end {array} \]

Maple trace

`Methods for second order ODEs: 
--- Trying classification methods --- 
trying a quadrature 
trying high order exact linear fully integrable 
-> Calling odsolve with the ODE`, diff(_b(_a), _a) = (4*_a^3*exp(_a^2)+2*_b(_a)*_a^2+_b(_a))/_a, _b(_a)`   *** Sublevel 2 *** 
   Methods for first order ODEs: 
   --- Trying classification methods --- 
   trying a quadrature 
   trying 1st order linear 
   <- 1st order linear successful 
<- high order exact linear fully integrable successful`
 

Solution by Maple

Time used: 0.0 (sec). Leaf size: 20

dsolve(x*diff(y(x),x$2)-(1+2*x^2)*diff(y(x),x)=4*x^3*exp(x^2),y(x), singsol=all)
 

\[ y \left (x \right ) = \frac {\left (2 x^{2}+c_{1} -2\right ) {\mathrm e}^{x^{2}}}{2}+c_{2} \]

Solution by Mathematica

Time used: 0.074 (sec). Leaf size: 25

DSolve[x*y''[x]-(1+2*x^2)*y'[x]==4*x^3*Exp[x^2],y[x],x,IncludeSingularSolutions -> True]
 

\[ y(x)\to e^{x^2} \left (x^2-1+\frac {c_1}{2}\right )+c_2 \]