Examine the singular points of the system dotx=x, doty=2x-y
Examine the singular points of the system $$\dot{x}=x,\qquad \dot{y}=2x-y.$$
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 · Locating the singular point
Set both right-hand sides equal to zero: $$\begin{cases} x=0,\\ 2x-y=0. \end{cases}$$ From the first equation $x=0$, substituting into the second gives $y=0$. The unique singular point is $$(x^*,y^*)=(0,0).$$
Step 2 · Coefficient matrix
The system is linear with coefficient matrix $$A=\begin{pmatrix}1&0\\2&-1\end{pmatrix}.$$
Step 3 · Eigenvalues of $A$
The matrix $A$ is lower triangular, so the eigenvalues are the diagonal entries: $$\lambda_1=1,\qquad \lambda_2=-1.$$
Step 4 · Classification of the singular point
The two eigenvalues are real, distinct, and of opposite sign: $$\lambda_2=-1<0<\lambda_1=1.$$ The origin is therefore a saddle point.
Step 5 · Eigenvectors and separatrices
For $\lambda_1=1$: $$(A-I)\mathbf{v}=0 \implies \begin{pmatrix}0&0\\2&-2\end{pmatrix}\mathbf{v}=0 \implies v_1=v_2,$$ so $\mathbf{v}^{(1)}=(1,1)^\top$. The unstable separatrix is tangent at the origin to the line $\ell_1:\;y=x$. For $\lambda_2=-1$: $$(A+I)\mathbf{v}=0 \implies \begin{pmatrix}2&0\\2&0\end{pmatrix}\mathbf{v}=0 \implies v_1=0,$$ so $\mathbf{v}^{(2)}=(0,1)^\top$. The stable separatrix is tangent at the origin to the $y$-axis, $\ell_2:\;x=0$.
Step 6 · General solution
$$\begin{pmatrix}x(t)\\y(t)\end{pmatrix} =C_1 e^{t}\begin{pmatrix}1\\1\end{pmatrix} +C_2 e^{-t}\begin{pmatrix}0\\1\end{pmatrix}.$$ In components: $$x(t)=C_1 e^{t},\qquad y(t)=C_1 e^{t}+C_2 e^{-t}.$$
Step 7 · Family of integral curves
Eliminating $t$: since $x=C_1 e^t$, we have $e^t=x/C_1$ and $e^{-t}=C_1/x$ (for $C_1\neq0$). Substituting into $y$: $$y=x+\frac{C_1C_2}{x}.$$ Setting $K=C_1C_2$, the family of integral curves is $$xy-x^2=K,\quad K\in\mathbb{R},$$ or equivalently $x(y-x)=K$. For $K=0$: either $x=0$ (stable separatrix) or $y=x$ (unstable separatrix), consistent with the eigenvector analysis.
Step 8 · Behaviour of trajectories near the origin
The saddle point has two invariant trajectories through the origin: the unstable manifold $y=x$ (departing as $t\to+\infty$) and the stable manifold $x=0$ (approaching as $t\to+\infty$). All other trajectories approach the origin along $x=0$ as $t\to-\infty$ and escape to infinity along $y=x$ as $t\to+\infty$, tracing the hyperbolic curves $x(y-x)=K$.
Step 9 · Conclusion
$$\boxed{ (x^*,y^*)=(0,0)\text{ is the unique singular point; it is a \textbf{saddle point}.} }$$ The eigenvalues are $\lambda_{1,2}=\pm1$ (real, opposite sign). The unstable separatrix lies along the line $y=x$ and the stable separatrix lies along the $y$-axis ($x=0$). The family of integral curves is $x(y-x)=K$, $K\in\mathbb{R}$.
Summary Table
| Quantity | Value |
|---|---|
| Eigenvalues | $\lambda_1=1,\qquad \lambda_2=-1.$ |
| Classification | saddle point |
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: