"""Illustrate y' + 2y = 3; tested with Python 3.14, NumPy 2.3, Matplotlib 3.10. Run from the desired output directory; writes integrating-factor-balance.png. """ from pathlib import Path import matplotlib matplotlib.use("Agg") import matplotlib.pyplot as plt import numpy as np def main(): t = np.linspace(0.0, 3.0, 601) transient = -1.5 * np.exp(-2.0 * t) y = 1.5 + transient rate = 3.0 * np.exp(-2.0 * t) plt.rcParams.update({"font.size": 11, "axes.spines.top": False, "axes.spines.right": False}) fig, axes = plt.subplots(1, 2, figsize=(10.4, 4.3), dpi=120, constrained_layout=True, facecolor="white") axes[0].plot(t, y, color="#2176a5", lw=2.8, label=r"total $y=\frac{3}{2}(1-e^{-2t})$") axes[0].axhline(1.5, color="#258568", ls="--", lw=2, label=r"particular solution $y_p=3/2$") axes[0].plot(t, transient, color="#bb4b20", ls=":", lw=2.5, label=r"transient $y_h=-\frac{3}{2} e^{-2t}$") axes[0].scatter([0], [0], color="#2176a5", zorder=5) axes[0].set(title="Add the particular and homogeneous solutions", ylabel="state y", ylim=(-1.65, 1.9)) axes[0].legend(loc="lower right", fontsize=9, framealpha=1) axes[1].fill_between(t, 0, 2*y, color="#258568", alpha=0.18) axes[1].fill_between(t, 2*y, 3, color="#2176a5", alpha=0.16) axes[1].axhline(3, color="#444444", ls="--", lw=2, label="input = 3") axes[1].plot(t, 2*y, color="#258568", lw=2.5, label="removal = 2y") axes[1].plot(t, rate, color="#2176a5", lw=2.5, label="net increase = y'") axes[1].set(title=r"The rate balance: $3=y'+2y$", ylabel="rate", ylim=(-0.05, 3.4)) axes[1].legend(loc="center right", fontsize=9, framealpha=1) for ax in axes: ax.set(xlabel="time t", xlim=(0, 3)) ax.set_facecolor("white") ax.grid(alpha=0.15) fig.savefig(Path.cwd() / "integrating-factor-balance.png", facecolor="white", transparent=False) plt.close(fig) if __name__ == "__main__": main()