2.7 problem 7

2.7.1 Solving as homogeneous ode
2.7.2 Maple step by step solution

Internal problem ID [5755]
Internal file name [OUTPUT/5003_Sunday_June_05_2022_03_16_56_PM_90566151/index.tex]

Book: Ordinary differential equations and calculus of variations. Makarets and Reshetnyak. Wold Scientific. Singapore. 1995
Section: Chapter 1. First order differential equations. Section 1.2 Homogeneous equations problems. page 12
Problem number: 7.
ODE order: 1.
ODE degree: 1.

The type(s) of ODE detected by this program :

Maple gives the following as the ode type

[[_homogeneous, `class A`], _dAlembert]

\[ \boxed {x y^{\prime }-y+x \,{\mathrm e}^{\frac {y}{x}}=0} \]

2.7.1 Solving as homogeneous ode

In canonical form, the ODE is \begin {align*} y' &= F(x,y)\\ &= \frac {y -x \,{\mathrm e}^{\frac {y}{x}}}{x}\tag {1} \end {align*}

An ode of the form \(y' = \frac {M(x,y)}{N(x,y)}\) is called homogeneous if the functions \(M(x,y)\) and \(N(x,y)\) are both homogeneous functions and of the same order. Recall that a function \(f(x,y)\) is homogeneous of order \(n\) if \[ f(t^n x, t^n y)= t^n f(x,y) \] In this case, it can be seen that both \(M=y -x \,{\mathrm e}^{\frac {y}{x}}\) and \(N=x\) are both homogeneous and of the same order \(n=1\). Therefore this is a homogeneous ode. Since this ode is homogeneous, it is converted to separable ODE using the substitution \(u=\frac {y}{x}\), or \(y=ux\). Hence \[ \frac { \mathop {\mathrm {d}y}}{\mathop {\mathrm {d}x}}= \frac { \mathop {\mathrm {d}u}}{\mathop {\mathrm {d}x}}x + u \] Applying the transformation \(y=ux\) to the above ODE in (1) gives \begin {align*} \frac { \mathop {\mathrm {d}u}}{\mathop {\mathrm {d}x}}x + u &= -{\mathrm e}^{u}+u\\ \frac { \mathop {\mathrm {d}u}}{\mathop {\mathrm {d}x}} &= -\frac {{\mathrm e}^{u \left (x \right )}}{x} \end {align*}

Or \[ u^{\prime }\left (x \right )+\frac {{\mathrm e}^{u \left (x \right )}}{x} = 0 \] Or \[ u^{\prime }\left (x \right ) x +{\mathrm e}^{u \left (x \right )} = 0 \] Which is now solved as separable in \(u \left (x \right )\). Which is now solved in \(u \left (x \right )\). In canonical form the ODE is \begin {align*} u' &= F(x,u)\\ &= f( x) g(u)\\ &= -\frac {{\mathrm e}^{u}}{x} \end {align*}

Where \(f(x)=-\frac {1}{x}\) and \(g(u)={\mathrm e}^{u}\). Integrating both sides gives \begin{align*} \frac {1}{{\mathrm e}^{u}} \,du &= -\frac {1}{x} \,d x \\ \int { \frac {1}{{\mathrm e}^{u}} \,du} &= \int {-\frac {1}{x} \,d x} \\ -{\mathrm e}^{-u}&=-\ln \left (x \right )+c_{2} \\ \end{align*} The solution is \[ -{\mathrm e}^{-u \left (x \right )}+\ln \left (x \right )-c_{2} = 0 \] Now \(u\) in the above solution is replaced back by \(y\) using \(u=\frac {y}{x}\) which results in the solution \[ -{\mathrm e}^{-\frac {y}{x}}+\ln \left (x \right )-c_{2} = 0 \]

Summary

The solution(s) found are the following \begin{align*} \tag{1} -{\mathrm e}^{-\frac {y}{x}}+\ln \left (x \right )-c_{2} &= 0 \\ \end{align*}

Figure 47: Slope field plot

Verification of solutions

\[ -{\mathrm e}^{-\frac {y}{x}}+\ln \left (x \right )-c_{2} = 0 \] Verified OK.

2.7.2 Maple step by step solution

\[ \begin {array}{lll} & {} & \textrm {Let's solve}\hspace {3pt} \\ {} & {} & x y^{\prime }-y+x \,{\mathrm e}^{\frac {y}{x}}=0 \\ \bullet & {} & \textrm {Highest derivative means the order of the ODE is}\hspace {3pt} 1 \\ {} & {} & y^{\prime } \\ \bullet & {} & \textrm {Solve for the highest derivative}\hspace {3pt} \\ {} & {} & y^{\prime }=\frac {y-x \,{\mathrm e}^{\frac {y}{x}}}{x} \end {array} \]

Maple trace

`Methods for first order ODEs: 
--- Trying classification methods --- 
trying a quadrature 
trying 1st order linear 
trying Bernoulli 
trying separable 
trying inverse linear 
trying homogeneous types: 
trying homogeneous D 
<- homogeneous successful`
 

Solution by Maple

Time used: 0.0 (sec). Leaf size: 12

dsolve(x*diff(y(x),x)=y(x)-x*exp(y(x)/x),y(x), singsol=all)
 

\[ y \left (x \right ) = -\ln \left (\ln \left (x \right )+c_{1} \right ) x \]

Solution by Mathematica

Time used: 0.348 (sec). Leaf size: 16

DSolve[x*y'[x]==y[x]-x*Exp[y[x]/x],y[x],x,IncludeSingularSolutions -> True]
 

\[ y(x)\to -x \log (\log (x)-c_1) \]