codexpast-exam-of-the-mathematics-course-of-the-year-1-of-the-natural-sciences-course-of-the-university-of-cambridge2017paper-1-stationary-contours.py
past-exam-of-the-mathematics-course-of-the-year-1-of-the-natural-sciences-course-of-the-university-of-cambridge/2017/paper-1-stationary-contours.py
"""Original Q14 contours, labelled by log(f); write the PNG to the cwd.
Tested with Python 3.14.4, NumPy 2.3.5 and Matplotlib 3.10.7.
"""
from pathlib import Path
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import numpy as np
def main():
grid = np.linspace(-2, 2, 501)
x, y = np.meshgrid(grid, grid)
fig, axes = plt.subplots(1, 2, figsize=(9.2, 4.6), layout="constrained")
fig.patch.set_facecolor("white")
for ax, a in zip(axes, [1, -1]):
ax.set_facecolor("white")
g = (x * x + y * y) / 2 + a * x**4 / 4
levels = [0.05, 0.125, 0.25, 0.5, 1, 2, 3] if a == 1 else [-0.5, 0, 0.1, 0.25, 0.5, 1, 2]
contours = ax.contour(x, y, g, levels=levels, cmap="viridis", linewidths=1.2)
ax.clabel(contours, fmt="%g", fontsize=8)
if a == -1:
ax.contour(x, y, g, levels=[0.25], colors=["#ba4035"], linewidths=1.8)
ax.scatter([-1, 1], [0, 0], color="#ba4035", marker="x", s=55, linewidth=2, zorder=5, label="Saddles")
ax.scatter(0, 0, color="#247045", s=32, zorder=5, label="Minimum")
ax.set(xlim=(-2, 2), ylim=(-2, 2), xlabel="$x$", ylabel="$y$", title=f"$a={a}$")
ax.set_aspect("equal")
ax.grid(alpha=0.13)
ax.legend(loc="lower left", fontsize=8, framealpha=0.95)
fig.suptitle(r"Contours of $f$: numbers denote $\log f=(x^2+y^2)/2+ax^4/4$")
fig.savefig(Path("paper-1-stationary-contours.png"), dpi=160, facecolor="white")
plt.close(fig)
if __name__ == "__main__":
main()