#!/usr/bin/env python3 """Oxford A6 2021, Q3(b): exact sum and power-law contributions. Python 3.14.4, NumPy 2.3.5, Matplotlib 3.10.7 (repository dependencies). Run in the output directory; writes 2021-power-law-modes.png there. """ from pathlib import Path import matplotlib matplotlib.use("Agg") import matplotlib.pyplot as plt import numpy as np def main(): eps = 0.08 x = np.linspace(0.65, 4.0, 3201) fast = x ** (-1 / eps) xmin = eps ** (-eps / (1 + eps)) ymin = (1 + eps) * xmin fig, ax = plt.subplots(figsize=(8.2, 4.2), layout="constrained") fig.patch.set_facecolor("white") ax.plot(x, fast + x, color="#176aa5", lw=2, label=r"$y=x^{-1/\epsilon}+x$") ax.plot(x, fast, color="#b45224", ls="--", lw=1.6, label=r"$x^{-1/\epsilon}$") ax.plot(x, x, color="#555555", ls=":", lw=1.8, label="$x$") ax.scatter([1, xmin], [2, ymin], color="#176aa5", s=24, zorder=5) ax.annotate(r"$(1,2)$", (1, 2), xytext=(0.88, 3.5), fontsize=10, arrowprops={"arrowstyle": "->"}) ax.annotate("minimum", (xmin, ymin), xytext=(1.50, 0.53), fontsize=10, arrowprops={"arrowstyle": "->"}) ax.annotate(r"$y\to\infty$ as $x\to0^+$", (0.83, 10), xytext=(1.12, 8.8), fontsize=10, arrowprops={"arrowstyle": "->"}) ax.set(xlim=(0.65, 4), ylim=(0, 11), xlabel="$x$", ylabel="$y$", title=rf"Exact solution, $\epsilon={eps}$") ax.legend(loc="upper right", fontsize=10) ax.grid(alpha=0.16) ax.spines[["top", "right"]].set_visible(False) inset = ax.inset_axes([0.50, 0.35, 0.46, 0.36]) z = np.linspace(0.94, 1.42, 801) inset.plot(z, z + z ** (-1 / eps), color="#176aa5", lw=1.7) inset.plot(z, z ** (-1 / eps), color="#b45224", ls="--", lw=1.2) inset.plot(z, z, color="#555555", ls=":", lw=1.5) inset.axvline(1, color="#aaaaaa", lw=0.7) inset.scatter([xmin], [ymin], color="#176aa5", s=18) inset.set(xlim=(0.94, 1.42), ylim=(0, 3.5), title="Crossover near $x=1$") inset.tick_params(labelsize=8) inset.title.set_fontsize(9) inset.grid(alpha=0.12) fig.savefig(Path("2021-power-law-modes.png"), dpi=115, facecolor="white", transparent=False) plt.close(fig) if __name__ == "__main__": main()