2.1.3 problem 1(c)
Internal
problem
ID
[4125]
Book
:
Elementary
Differential
equations,
Chaundy,
1969
Section
:
Exercises
3,
page
60
Problem
number
:
1(c)
Date
solved
:
Saturday, November 09, 2024 at 07:22:01 PM
CAS
classification
:
[_linear]
Solve
\begin{align*} y^{\prime }+y \cot \left (x \right )&=x \end{align*}
Solved as first order linear ode
Time used: 0.118 (sec)
In canonical form a linear first order is
\begin{align*} y^{\prime } + q(x)y &= p(x) \end{align*}
Comparing the above to the given ode shows that
\begin{align*} q(x) &=\cot \left (x \right )\\ p(x) &=x \end{align*}
The integrating factor \(\mu \) is
\begin{align*} \mu &= e^{\int {q\,dx}}\\ &= {\mathrm e}^{\int \cot \left (x \right )d x}\\ &= \sin \left (x \right ) \end{align*}
The ode becomes
\begin{align*}
\frac {\mathop {\mathrm {d}}}{ \mathop {\mathrm {d}x}}\left ( \mu y\right ) &= \mu p \\
\frac {\mathop {\mathrm {d}}}{ \mathop {\mathrm {d}x}}\left ( \mu y\right ) &= \left (\mu \right ) \left (x\right ) \\
\frac {\mathop {\mathrm {d}}}{ \mathop {\mathrm {d}x}} \left (y \sin \left (x \right )\right ) &= \left (\sin \left (x \right )\right ) \left (x\right ) \\
\mathrm {d} \left (y \sin \left (x \right )\right ) &= \left (x \sin \left (x \right )\right )\, \mathrm {d} x \\
\end{align*}
Integrating gives
\begin{align*} y \sin \left (x \right )&= \int {x \sin \left (x \right ) \,dx} \\ &=\sin \left (x \right )-x \cos \left (x \right ) + c_1 \end{align*}
Dividing throughout by the integrating factor \(\sin \left (x \right )\) gives the final solution
\[ y = 1-x \cot \left (x \right )+c_1 \csc \left (x \right ) \]
Figure 2.12: Slope field plot
\(y^{\prime }+y \cot \left (x \right ) = x\)
Summary of solutions found
\begin{align*}
y &= 1-x \cot \left (x \right )+c_1 \csc \left (x \right ) \\
\end{align*}
Solved as first order Exact ode
Time used: 0.176 (sec)
To solve an ode of the form
\begin{equation} M\left ( x,y\right ) +N\left ( x,y\right ) \frac {dy}{dx}=0\tag {A}\end{equation}
We assume there exists a function \(\phi \left ( x,y\right ) =c\) where \(c\) is constant, that
satisfies the ode. Taking derivative of \(\phi \) w.r.t. \(x\) gives
\[ \frac {d}{dx}\phi \left ( x,y\right ) =0 \]
Hence
\begin{equation} \frac {\partial \phi }{\partial x}+\frac {\partial \phi }{\partial y}\frac {dy}{dx}=0\tag {B}\end{equation}
Comparing (A,B) shows
that
\begin{align*} \frac {\partial \phi }{\partial x} & =M\\ \frac {\partial \phi }{\partial y} & =N \end{align*}
But since \(\frac {\partial ^{2}\phi }{\partial x\partial y}=\frac {\partial ^{2}\phi }{\partial y\partial x}\) then for the above to be valid, we require that
\[ \frac {\partial M}{\partial y}=\frac {\partial N}{\partial x}\]
If the above condition is satisfied,
then the original ode is called exact. We still need to determine \(\phi \left ( x,y\right ) \) but at least we know
now that we can do that since the condition \(\frac {\partial ^{2}\phi }{\partial x\partial y}=\frac {\partial ^{2}\phi }{\partial y\partial x}\) is satisfied. If this condition is not
satisfied then this method will not work and we have to now look for an integrating
factor to force this condition, which might or might not exist. The first step is
to write the ODE in standard form to check for exactness, which is
\[ M(x,y) \mathop {\mathrm {d}x}+ N(x,y) \mathop {\mathrm {d}y}=0 \tag {1A} \]
Therefore
\begin{align*} \mathop {\mathrm {d}y} &= \left (-y \cot \left (x \right )+x\right )\mathop {\mathrm {d}x}\\ \left (y \cot \left (x \right )-x\right ) \mathop {\mathrm {d}x} + \mathop {\mathrm {d}y} &= 0 \tag {2A} \end{align*}
Comparing (1A) and (2A) shows that
\begin{align*} M(x,y) &= y \cot \left (x \right )-x\\ N(x,y) &= 1 \end{align*}
The next step is to determine if the ODE is is exact or not. The ODE is exact when the
following condition is satisfied
\[ \frac {\partial M}{\partial y} = \frac {\partial N}{\partial x} \]
Using result found above gives
\begin{align*} \frac {\partial M}{\partial y} &= \frac {\partial }{\partial y} \left (y \cot \left (x \right )-x\right )\\ &= \cot \left (x \right ) \end{align*}
And
\begin{align*} \frac {\partial N}{\partial x} &= \frac {\partial }{\partial x} \left (1\right )\\ &= 0 \end{align*}
Since \(\frac {\partial M}{\partial y} \neq \frac {\partial N}{\partial x}\) , then the ODE is not exact . Since the ODE is not exact, we will try to find an
integrating factor to make it exact. Let
\begin{align*} A &= \frac {1}{N} \left (\frac {\partial M}{\partial y} - \frac {\partial N}{\partial x} \right ) \\ &=1\left ( \left ( \cot \left (x \right )\right ) - \left (0 \right ) \right ) \\ &=\cot \left (x \right ) \end{align*}
Since \(A\) does not depend on \(y\) , then it can be used to find an integrating factor. The integrating
factor \(\mu \) is
\begin{align*} \mu &= e^{ \int A \mathop {\mathrm {d}x} } \\ &= e^{\int \cot \left (x \right )\mathop {\mathrm {d}x} } \end{align*}
The result of integrating gives
\begin{align*} \mu &= e^{\ln \left (\sin \left (x \right )\right ) } \\ &= \sin \left (x \right ) \end{align*}
\(M\) and \(N\) are multiplied by this integrating factor, giving new \(M\) and new \(N\) which are called \(\overline {M}\) and \(\overline {N}\)
for now so not to confuse them with the original \(M\) and \(N\) .
\begin{align*} \overline {M} &=\mu M \\ &= \sin \left (x \right )\left (y \cot \left (x \right )-x\right ) \\ &= y \cos \left (x \right )-x \sin \left (x \right ) \end{align*}
And
\begin{align*} \overline {N} &=\mu N \\ &= \sin \left (x \right )\left (1\right ) \\ &= \sin \left (x \right ) \end{align*}
Now a modified ODE is ontained from the original ODE, which is exact and can be solved.
The modified ODE is
\begin{align*} \overline {M} + \overline {N} \frac { \mathop {\mathrm {d}y}}{\mathop {\mathrm {d}x}} &= 0 \\ \left (y \cos \left (x \right )-x \sin \left (x \right )\right ) + \left (\sin \left (x \right )\right ) \frac { \mathop {\mathrm {d}y}}{\mathop {\mathrm {d}x}} &= 0 \end{align*}
The following equations are now set up to solve for the function \(\phi \left (x,y\right )\)
\begin{align*} \frac {\partial \phi }{\partial x } &= \overline {M}\tag {1} \\ \frac {\partial \phi }{\partial y } &= \overline {N}\tag {2} \end{align*}
Integrating (2) w.r.t. \(y\) gives
\begin{align*}
\int \frac {\partial \phi }{\partial y} \mathop {\mathrm {d}y} &= \int \overline {N}\mathop {\mathrm {d}y} \\
\int \frac {\partial \phi }{\partial y} \mathop {\mathrm {d}y} &= \int \sin \left (x \right )\mathop {\mathrm {d}y} \\
\tag{3} \phi &= y \sin \left (x \right )+ f(x) \\
\end{align*}
Where \(f(x)\) is used for the constant of integration since \(\phi \) is a function
of both \(x\) and \(y\) . Taking derivative of equation (3) w.r.t \(x\) gives
\begin{equation}
\tag{4} \frac {\partial \phi }{\partial x} = y \cos \left (x \right )+f'(x)
\end{equation}
But equation (1) says that \(\frac {\partial \phi }{\partial x} = y \cos \left (x \right )-x \sin \left (x \right )\) .
Therefore equation (4) becomes
\begin{equation}
\tag{5} y \cos \left (x \right )-x \sin \left (x \right ) = y \cos \left (x \right )+f'(x)
\end{equation}
Solving equation (5) for \( f'(x)\) gives
\[
f'(x) = -x \sin \left (x \right )
\]
Integrating the above w.r.t \(x\)
gives
\begin{align*}
\int f'(x) \mathop {\mathrm {d}x} &= \int \left ( -x \sin \left (x \right )\right ) \mathop {\mathrm {d}x} \\
f(x) &= -\sin \left (x \right )+x \cos \left (x \right )+ c_1 \\
\end{align*}
Where \(c_1\) is constant of integration. Substituting result found above for \(f(x)\) into equation
(3) gives \(\phi \)
\[
\phi = y \sin \left (x \right )-\sin \left (x \right )+x \cos \left (x \right )+ c_1
\]
But since \(\phi \) itself is a constant function, then let \(\phi =c_2\) where \(c_2\) is new constant and
combining \(c_1\) and \(c_2\) constants into the constant \(c_1\) gives the solution as
\[
c_1 = y \sin \left (x \right )-\sin \left (x \right )+x \cos \left (x \right )
\]
Solving for \(y\) gives
\begin{align*}
y &= -\frac {-\sin \left (x \right )+x \cos \left (x \right )-c_1}{\sin \left (x \right )} \\
\end{align*}
Figure 2.13: Slope field plot
\(y^{\prime }+y \cot \left (x \right ) = x\)
Summary of solutions found
\begin{align*}
y &= -\frac {-\sin \left (x \right )+x \cos \left (x \right )-c_1}{\sin \left (x \right )} \\
\end{align*}
Maple step by step solution
\[ \begin {array}{lll} & {} & \textrm {Let's solve}\hspace {3pt} \\ {} & {} & \frac {d}{d x}y \left (x \right )+y \left (x \right ) \cot \left (x \right )=x \\ \bullet & {} & \textrm {Highest derivative means the order of the ODE is}\hspace {3pt} 1 \\ {} & {} & \frac {d}{d x}y \left (x \right ) \\ \bullet & {} & \textrm {Solve for the highest derivative}\hspace {3pt} \\ {} & {} & \frac {d}{d x}y \left (x \right )=-y \left (x \right ) \cot \left (x \right )+x \\ \bullet & {} & \textrm {Group terms with}\hspace {3pt} y \left (x \right )\hspace {3pt}\textrm {on the lhs of the ODE and the rest on the rhs of the ODE}\hspace {3pt} \\ {} & {} & \frac {d}{d x}y \left (x \right )+y \left (x \right ) \cot \left (x \right )=x \\ \bullet & {} & \textrm {The ODE is linear; multiply by an integrating factor}\hspace {3pt} \mu \left (x \right ) \\ {} & {} & \mu \left (x \right ) \left (\frac {d}{d x}y \left (x \right )+y \left (x \right ) \cot \left (x \right )\right )=\mu \left (x \right ) x \\ \bullet & {} & \textrm {Assume the lhs of the ODE is the total derivative}\hspace {3pt} \frac {d}{d x}\left (y \left (x \right ) \mu \left (x \right )\right ) \\ {} & {} & \mu \left (x \right ) \left (\frac {d}{d x}y \left (x \right )+y \left (x \right ) \cot \left (x \right )\right )=\left (\frac {d}{d x}y \left (x \right )\right ) \mu \left (x \right )+y \left (x \right ) \left (\frac {d}{d x}\mu \left (x \right )\right ) \\ \bullet & {} & \textrm {Isolate}\hspace {3pt} \frac {d}{d x}\mu \left (x \right ) \\ {} & {} & \frac {d}{d x}\mu \left (x \right )=\mu \left (x \right ) \cot \left (x \right ) \\ \bullet & {} & \textrm {Solve to find the integrating factor}\hspace {3pt} \\ {} & {} & \mu \left (x \right )=\sin \left (x \right ) \\ \bullet & {} & \textrm {Integrate both sides with respect to}\hspace {3pt} x \\ {} & {} & \int \left (\frac {d}{d x}\left (y \left (x \right ) \mu \left (x \right )\right )\right )d x =\int \mu \left (x \right ) x d x +\mathit {C1} \\ \bullet & {} & \textrm {Evaluate the integral on the lhs}\hspace {3pt} \\ {} & {} & y \left (x \right ) \mu \left (x \right )=\int \mu \left (x \right ) x d x +\mathit {C1} \\ \bullet & {} & \textrm {Solve for}\hspace {3pt} y \left (x \right ) \\ {} & {} & y \left (x \right )=\frac {\int \mu \left (x \right ) x d x +\mathit {C1}}{\mu \left (x \right )} \\ \bullet & {} & \textrm {Substitute}\hspace {3pt} \mu \left (x \right )=\sin \left (x \right ) \\ {} & {} & y \left (x \right )=\frac {\int \sin \left (x \right ) x d x +\mathit {C1}}{\sin \left (x \right )} \\ \bullet & {} & \textrm {Evaluate the integrals on the rhs}\hspace {3pt} \\ {} & {} & y \left (x \right )=\frac {\sin \left (x \right )-x \cos \left (x \right )+\mathit {C1}}{\sin \left (x \right )} \\ \bullet & {} & \textrm {Simplify}\hspace {3pt} \\ {} & {} & y \left (x \right )=1-x \cot \left (x \right )+\mathit {C1} \csc \left (x \right ) \end {array} \]
Maple trace
` Methods for first order ODEs:
--- Trying classification methods ---
trying a quadrature
trying 1st order linear
<- 1st order linear successful `
Maple dsolve solution
Solving time : 0.001
(sec)
Leaf size : 15
dsolve ( diff ( y ( x ), x )+ y ( x )* cot ( x ) = x,
y(x),singsol=all)
\[
y \left (x \right ) = -\cot \left (x \right ) x +1+\csc \left (x \right ) c_{1}
\]
Mathematica DSolve solution
Solving time : 0.062
(sec)
Leaf size : 17
DSolve [{ D [ y [ x ], x ]+ y [ x ]* Cot [ x ]== x ,{}},
y[x],x,IncludeSingularSolutions-> True ]
\[
y(x)\to -x \cot (x)+c_1 \csc (x)+1
\]