Problem 8
Medium Equilibrium Points

Examine the singular points of the equation y'=(y-2x)/(y)

Examine the singular points of the equation $$y'=\frac{y-2x}{y}.$$

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 $$P(x,y)=y-2x,\qquad Q(x,y)=y.$$

Step 2 · Locating the singular point

Set $P=0$ and $Q=0$ simultaneously: $$\begin{cases} y-2x=0,\\ y=0. \end{cases}$$ From the second equation $y=0$, substituting into the first gives $-2x=0$, hence $x=0$. 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 $$\frac{dx}{dt}=P(x,y)=y-2x,\qquad \frac{dy}{dt}=Q(x,y)=y,$$ with coefficient matrix $$A=\begin{pmatrix}-2&1\\0&1\end{pmatrix}.$$

Step 4 · Eigenvalues of $A$

The characteristic equation is $$\det(A-\lambda I)=0 \implies (-2-\lambda)(1-\lambda)-0=0 \implies (\lambda+2)(\lambda-1)=0.$$ Thus $$\lambda_1=-2,\qquad \lambda_2=1.$$

Step 5 · Classification of the singular point

The two eigenvalues are real, distinct, and of opposite sign: $$\lambda_1=-2<0<\lambda_2=1.$$ By the standard classification of linear autonomous systems, the origin is a saddle point.

Step 6 · Eigenvectors and separatrices

For $\lambda_1=-2$: $$(A+2I)\mathbf{v}=0 \implies \begin{pmatrix}0&1\\0&3\end{pmatrix}\mathbf{v}=0.$$ Both rows require $v_2=0$, so $$\mathbf{v}^{(1)}=\begin{pmatrix}1\\0\end{pmatrix}.$$ The corresponding separatrix is tangent to the $x$-axis at the origin. Since $\lambda_1<0$, trajectories on this manifold are attracted to the origin (stable separatrix). For $\lambda_2=1$: $$(A-I)\mathbf{v}=0 \implies \begin{pmatrix}-3&1\\0&0\end{pmatrix}\mathbf{v}=0.$$ The first row gives $-3v_1+v_2=0$, so $$\mathbf{v}^{(2)}=\begin{pmatrix}1\\3\end{pmatrix}.$$ The corresponding separatrix is tangent to the line $y=3x$ at the origin. Since $\lambda_2>0$, trajectories on this manifold depart from the origin (unstable separatrix).

Step 7 · General solution of the linear system

$$\begin{pmatrix}x(t)\\y(t)\end{pmatrix} =C_1 e^{-2t}\begin{pmatrix}1\\0\end{pmatrix} +C_2 e^{t}\begin{pmatrix}1\\3\end{pmatrix}.$$ In components: $$x(t)=C_1 e^{-2t}+C_2 e^{t},\qquad y(t)=3C_2 e^{t}.$$

Step 8 · Behaviour of integral curves near the origin

The saddle point has two invariant straight-line trajectories passing through the origin:

All other trajectories approach the origin along the unstable direction as $t\to-\infty$ and recede to infinity along the stable direction as $t\to+\infty$, forming the characteristic hyperbolic pattern of a saddle.

Step 9 · Verification via the original ODE

Along $y=0$ (and $x\neq 0$) the right-hand side $\tfrac{y-2x}{y}$ is undefined, confirming that $y=0$ is a singular line of the ODE, consistent with the stable separatrix lying along the $x$-axis.

Step 10 · Conclusion

$$\boxed{ (x^*,y^*)=(0,0)\text{ is the unique singular point; it is a \textbf{saddle point}.} }$$ The eigenvalues $\lambda_1=-2$ and $\lambda_2=1$ are real with opposite signs. The stable separatrix is tangent to the $x$-axis and the unstable separatrix is tangent to the line $y=3x$ at the origin. All other trajectories exhibit the characteristic hyperbolic divergence of a saddle.


Summary Table

QuantityValue
Eigenvalues$\det(A-\lambda I)=0 \implies (-2-\lambda)(1-\lambda)-0=0 \implies (\lambda+2)(\lambda-1)=0.$
Classificationsaddle point

Additional Notes

Result

The final classification is:

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