Problem 7
Hard Equilibrium Points

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

QuantityValue
Eigenvalues$\det(A-\lambda I)=0 \implies (2-\lambda)(4-\lambda)-3=0.$
Classificationunstable node

Additional Notes

Result

The final classification is:

$$\boxed{ (x^*,y^*)=(0,0)\text{ is the unique singular point; it is an \textbf{unstable node}.} }$$