Autonomous equations
#052
Problem
Classification
- decay
- equilibrium
- autonomous
Method
- separable
Solution
Simulation & Code
Computational workSimulation

Python codeOpen
import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(-3, 3, 600)
constants = [-4, -2, -1, 1, 2, 4]
fig, ax = plt.subplots(figsize=(7, 4.5))
for constant in constants:
y = constant * np.exp(-2 * x)
y = np.where(np.abs(y) <= 8, y, np.nan)
ax.plot(x, y, linewidth=2, label=f"C = {constant}")
ax.axhline(0, color="black", linewidth=1, alpha=0.7, label="stable equilibrium y = 0")
ax.axvline(0, color="#111827", linewidth=0.8, alpha=0.35)
ax.set_title("Entry #052: y' = -2y")
ax.set_xlabel("x")
ax.set_ylabel("y")
ax.set_ylim(-8, 8)
ax.grid(True, alpha=0.3)
ax.legend(fontsize=8, ncols=2)
fig.tight_layout()
plt.show()
Handwritten derivation
Download full PDFTakeaway & Interpretation
This is exponential decay with rate 2. Positive solutions decrease toward 0, while negative solutions increase toward 0. The equilibrium y=0 is stable because nearby solutions approach it as x increases.