Examine the character of the rest point (0,0) of the system…
Examine the character of the rest point $(0,0)$ of the system $$\dot{x}=-x+2y,\qquad\dot{y}=-2x+3y.$$
Explanation of Method
Since the system is already linear and homogeneous, its coefficient matrix is written down directly. The eigenvalues are computed from the characteristic equation, and the rest point is classified according to the standard theory of planar linear systems: a node, saddle, focus, or centre, depending on the sign and nature of the eigenvalues.
Step 1 · Coefficient matrix
$$A=\begin{pmatrix}-1&2\\-2&3\end{pmatrix}.$$
Step 2 · Characteristic equation and eigenvalues
$$\det(A-\lambda I)=0\implies(-1-\lambda)(3-\lambda)+4=0 \implies\lambda^2-2\lambda+1=0\implies(\lambda-1)^2=0.$$ There is a repeated eigenvalue $\lambda_1=\lambda_2=1$.
Step 3 · Eigenspace
Solving $(A-I)\mathbf v=0$ gives $v_1=v_2$, so there is only one independent eigenvector $\mathbf v^{(1)}=(1,1)^\top$: the geometric multiplicity (1) is less than the algebraic multiplicity (2), so $A$ is defective and a generalised eigenvector is required.
Step 4 · Generalised eigenvector
Solving $(A-I)\mathbf w=\mathbf v^{(1)}$ gives $\mathbf w=(0,\tfrac12)^\top$.
Step 5 · General solution
Using the Jordan chain $\{\mathbf v^{(1)},\mathbf w\}$: $$x(t)=e^{t}(C_1+C_2\,t),\qquad y(t)=e^{t}\!\left(C_1+\tfrac{1}{2}C_2+C_2\,t\right).$$
Step 6 · Phase portrait analysis
Since $y(t)-x(t)=\tfrac12C_2e^t$ while $x(t)=e^t(C_1+C_2t)$, for $C_2\neq0$ the ratio $(y-x)/x\to0$ as $t\to+\infty$, so all non-trivial trajectories approach the line $y=x$ asymptotically (in direction). This is the hallmark of an improper (degenerate) unstable node.
Step 7 · Behaviour of trajectories
Since $\lambda=1>0$: as $t\to+\infty$, $|x(t)|,|y(t)|\to+\infty$, so all trajectories diverge. As $t\to-\infty$, $e^t\to0$ dominates the polynomial factor, so trajectories approach the origin tangentially to $y=x$. The unique straight-line trajectory ($C_2=0$) lies exactly on $y=x$.
Step 8 · Stability analysis
Since $\lambda=1>0$, the rest point is unstable: it is not Lyapunov stable.
Step 9 · Conclusion
$$\boxed{ (0,0)\text{ is an \textbf{unstable improper (degenerate) node}.}\quad \lambda_{1,2}=1\;(\text{repeated}). }$$ The repeated positive eigenvalue $\lambda=1$ with a single eigenvector $\mathbf{v}^{(1)}=(1,1)^{\top}$ produces an improper node. All trajectories approach the origin tangentially to the line $y=x$ as $t\to-\infty$ and diverge to infinity as $t\to+\infty$, confirming instability.
Summary Table
| Quantity | Value |
|---|---|
| Eigenvalues | $\det(A-\lambda I)=0\implies(-1-\lambda)(3-\lambda)+4=0 \implies\lambda^2-2\lambda+1=0\implies(\lambda-1)^2=0.$ |
| Classification | unstable improper (degenerate) node |
Additional Notes
- The classification follows from the standard theory of planar linear autonomous systems, based on the sign and nature of the eigenvalues of the coefficient matrix.
Result
The final classification is: