Examine the singular points of the equation y'=(2x+y)/(3x+4y)
Examine the singular points of the equation $$y'=\frac{2x+y}{3x+4y}.$$
Explanation of Method
The singular points are located by solving P(x,y) = 0 and Q(x,y) = 0 simultaneously. The associated planar autonomous system is formed (linearising about the singular point where necessary), its coefficient/Jacobian matrix is written down, and the point is classified from the sign and nature of that matrix's eigenvalues, using the standard classification of planar linear systems into nodes, saddles, foci, and centres.
Step 1 · Symmetric form
Write the equation as $$P(x,y)\,dx - Q(x,y)\,dy = 0,$$ with $$P(x,y)=2x+y,\qquad Q(x,y)=3x+4y.$$
Step 2 · Locating the singular point
Set $P=0$ and $Q=0$ simultaneously: $$\begin{cases} 2x+y=0,\\ 3x+4y=0. \end{cases}$$ From the first equation $y=-2x$. Substituting into the second: $$3x+4(-2x)=3x-8x=-5x=0\implies x=0,\quad y=0.$$ The unique singular point is $$(x^*,y^*)=(0,0).$$
Step 3 · Associated linear autonomous system
Since $P$ and $Q$ are homogeneous of degree 1, write the equivalent planar system $$\frac{dx}{dt}=P(x,y)=2x+y,\qquad \frac{dy}{dt}=Q(x,y)=3x+4y,$$ with coefficient matrix $$A=\begin{pmatrix}2&1\\3&4\end{pmatrix}.$$
Step 4 · Eigenvalues of $A$
The characteristic equation is $$\det(A-\lambda I)=0 \implies (2-\lambda)(4-\lambda)-3=0.$$ Expanding: $$8-2\lambda-4\lambda+\lambda^2-3=0 \implies \lambda^2-6\lambda+5=0 \implies (\lambda-1)(\lambda-5)=0.$$ Thus $$\lambda_1=1,\qquad \lambda_2=5.$$
Step 5 · Classification of the singular point
Both eigenvalues are real, distinct, and positive: $$0<\lambda_1<\lambda_2.$$ By the standard classification of linear autonomous systems, the origin is an unstable node.
Step 6 · Eigenvectors
For $\lambda_1=1$: $$(A-I)\mathbf{v}=0 \implies \begin{pmatrix}1&1\\3&3\end{pmatrix}\mathbf{v}=0.$$ Both rows give $v_1+v_2=0$, so $$\mathbf{v}^{(1)}=\begin{pmatrix}1\\-1\end{pmatrix}.$$ For $\lambda_2=5$: $$(A-5I)\mathbf{v}=0 \implies \begin{pmatrix}-3&1\\3&-1\end{pmatrix}\mathbf{v}=0.$$ Both rows give $-3v_1+v_2=0$, so $$\mathbf{v}^{(2)}=\begin{pmatrix}1\\3\end{pmatrix}.$$
Step 7 · General solution of the linear system
$$\begin{pmatrix}x(t)\\y(t)\end{pmatrix} =C_1 e^{t}\begin{pmatrix}1\\-1\end{pmatrix} +C_2 e^{5t}\begin{pmatrix}1\\3\end{pmatrix}.$$
Step 8 · Behaviour of integral curves
The two eigendirections determine the nodal axes: $$\ell_1:\; y=-x \quad (\text{along }\mathbf{v}^{(1)},\;\lambda_1=1), \qquad \ell_2:\; y=3x \quad (\text{along }\mathbf{v}^{(2)},\;\lambda_2=5).$$ Since both eigenvalues are positive, all trajectories move away from the origin as $t\to+\infty$. As $t\to-\infty$ every trajectory (except those on $\ell_2$) approaches the origin tangentially to the slower eigendirection $\ell_1$ (the line $y=-x$), which is the characteristic direction of an unstable node. Trajectories lying exactly on $\ell_2$ approach the origin along $y=3x$.
Step 9 · Slope of integral curves at the origin
Along $\ell_1$ the slope is $dy/dx=-1$ and along $\ell_2$ the slope is $dy/dx=3$; checking against the right-hand side confirms the nodal structure is consistent with the eigenvalue analysis: $$\left.\frac{2x+y}{3x+4y}\right|_{y=-x}=\frac{x}{-x}=-1.$$
Step 10 · Conclusion
$$\boxed{ (x^*,y^*)=(0,0)\text{ is the unique singular point; it is an \textbf{unstable node}.} }$$ The eigenvalues $\lambda_1=1$ and $\lambda_2=5$ are both real, distinct, and positive. All trajectories depart from the origin, approaching it tangentially to the line $y=-x$ (slower eigendirection) as $t\to-\infty$, while the faster eigendirection corresponds to $y=3x$.
Summary Table
| Quantity | Value |
|---|---|
| Eigenvalues | $\det(A-\lambda I)=0 \implies (2-\lambda)(4-\lambda)-3=0.$ |
| Classification | unstable node |
Additional Notes
- The classification follows from the standard theory of planar linear (or linearised) autonomous systems, based on the sign and nature of the eigenvalues of the coefficient/Jacobian matrix.
Result
The final classification is: