Problem 1
Medium Equilibrium Points

Starting from the definition of stability, examine the…

Starting from the definition of stability, examine the stability of the solution of the differential equation $$\frac{dy}{dx}=-a^2 y,\quad a\neq0,\quad y(x_0)=y_0.$$

Explanation of Method

The stability of the solution is examined directly from the ε–δ (Lyapunov) definition, without relying on any general theorem. The explicit solution is derived first; the initial condition is then perturbed by a small quantity, and the resulting difference between the perturbed and original solutions is estimated for all admissible values of the independent variable, and again in the limit as it tends to +∞.

Step 1 · Explicit solution

The equation is a first-order linear homogeneous ODE with constant coefficient. Separating variables: $$\frac{dy}{y}=-a^2\,dx \implies \ln|y|=-a^2 x+C \implies y(x)=y_0\,e^{-a^2(x-x_0)}.$$ Thus, for the initial condition $y(x_0)=y_0$, the solution is $$\varphi(x;\,x_0,y_0)=y_0\,e^{-a^2(x-x_0)}.$$

Step 2 · Definitions of stability

Let $\varphi(x)=\varphi(x;x_0,y_0)$ be a given solution. The solution is called:

Step 3 · Perturbation of the initial condition

Let $\tilde{y}_0=y_0+\eta$ be a perturbed initial condition, where $\eta$ is a small real number. The corresponding solution is: $$\varphi(x;x_0,\tilde{y}_0)=(y_0+\eta)\,e^{-a^2(x-x_0)}.$$ The difference between the perturbed and the original solution is: $$\Delta(x)=\varphi(x;x_0,\tilde{y}_0)-\varphi(x;x_0,y_0) =\eta\,e^{-a^2(x-x_0)}.$$

Step 4 · Estimation of the difference

For all $x\geq x_0$, since $a^2>0$: $$e^{-a^2(x-x_0)}\leq 1,$$ so $$|\Delta(x)|=|\eta|\,e^{-a^2(x-x_0)}\leq|\eta| \quad\text{for all }x\geq x_0.$$

Step 5 · Verification of Lyapunov stability

Given any $\varepsilon>0$, choose $\delta=\varepsilon$. Then: $$|\tilde{y}_0-y_0|=|\eta|<\delta=\varepsilon \implies |\Delta(x)|=|\eta|\,e^{-a^2(x-x_0)}\leq|\eta|<\varepsilon \quad\text{for all }x\geq x_0.$$ The definition of Lyapunov stability is satisfied. Hence the solution is stable.

Step 6 · Verification of asymptotic stability

Since $a^2>0$: $$\lim_{x\to+\infty}|\Delta(x)| =\lim_{x\to+\infty}|\eta|\,e^{-a^2(x-x_0)}=0,$$ regardless of the (sufficiently small) perturbation $\eta$. The difference between any perturbed solution and the original solution tends to zero as $x\to+\infty$. Hence the solution is asymptotically stable.

Step 7 · Geometric interpretation

Every solution $y(x)=y_0\,e^{-a^2(x-x_0)}$ decays exponentially to zero as $x\to+\infty$, regardless of the initial value $y_0$, since $a^2>0$ for all $a\neq0$. All trajectories are therefore attracted toward the zero solution: nearby solutions not only stay close but actually converge to the same limit. This is the hallmark of asymptotic stability.

Step 8 · Conclusion

$$\boxed{ \text{The solution }y(x)=y_0\,e^{-a^2(x-x_0)} \text{ is \textbf{asymptotically stable} for all }a\neq0. }$$ Key observations:


Summary Table

QuantityValue
Explicit solution$\frac{dy}{y}=-a^2\,dx \implies \ln|y|=-a^2 x+C \implies y(x)=y_0\,e^{-a^2(x-x_0)}.$
Perturbation difference$\Delta(x)=\varphi(x;x_0,\tilde{y}_0)-\varphi(x;x_0,y_0) =\eta\,e^{-a^2(x-x_0)}.$
Classificationasymptotically stable

Additional Notes

Result

The final classification is:

$$\boxed{ \text{The solution }y(x)=y_0\,e^{-a^2(x-x_0)} \text{ is \textbf{asymptotically stable} for all }a\neq0. }$$