codexregular-variation-rescaling-ratios.py
regular-variation-rescaling-ratios.py
"""Generate regular-variation-rescaling-ratios.png in the current directory."""
from pathlib import Path
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import numpy as np
def main():
plt.rcParams.update({"font.size": 12, "axes.spines.top": False,
"axes.spines.right": False})
t = np.geomspace(10, 1e8, 450)
fig, axes = plt.subplots(1, 2, figsize=(10.2, 4.7), dpi=120,
facecolor="white")
left, right = axes
left.loglog(t, t**2, color="#2875ad", linewidth=2.3, label=r"$q(t)=t^2$")
left.loglog(t, t**2 * np.log(t), color="#d4652b", linewidth=2.3,
label=r"$q(t)=t^2\log t$")
left.set(xlabel=r"Argument $t$", ylabel=r"Value $q(t)$",
title="The correction keeps growing")
left.legend(loc="upper left", fontsize=11)
right.semilogx(t, np.full_like(t, 4), color="#2875ad", linewidth=2.3,
label=r"$t^2$: ratio exactly $4$")
right.semilogx(t, 4 * (1 + np.log(2) / np.log(t)), color="#d4652b",
linewidth=2.3, label=r"$t^2\log t$: ratio $\to4$")
sample_t = np.array([1e2, 1e4, 1e6])
sample_y = 4 * (1 + np.log(2) / np.log(sample_t))
right.scatter(sample_t, sample_y, color="#d4652b", s=32, zorder=3)
for x, y in zip(sample_t, sample_y):
right.annotate(f"{y:.3f}", (x, y), xytext=(3, 8),
textcoords="offset points", fontsize=10)
right.set(xlabel=r"Argument $t$", ylabel=r"Doubling ratio $q(2t)/q(t)$",
ylim=(3.9, 5.4), title="The scaling exponent stays the same")
right.legend(loc="upper right", fontsize=10)
for ax in axes:
ax.grid(alpha=0.2)
fig.suptitle("Regular variation: a power law with a changing correction",
fontsize=15, y=0.98)
fig.subplots_adjust(left=0.08, right=0.98, bottom=0.19, top=0.82, wspace=0.33)
fig.text(0.5, 0.04, "Each doubling ratio uses the same fixed rescaling u = 2.",
ha="center", fontsize=11)
fig.savefig(Path.cwd() / "regular-variation-rescaling-ratios.png",
facecolor="white")
plt.close(fig)
if __name__ == "__main__":
main()