The script src/21-gravity/validate_fluxnoise.py of the validation package of the paper 21-grav, rendered with an anchor per line. ▶ run the predicates on Google Colab.
1"""Flux conservation under noise (Lemma: the mean static force law is noise-invariant).23A 1D chain of Kuramoto phases: site 0 driven by constant torque b (the source's4winding demand), site M pinned (the absorber). In the statistically stationary5state the time-averaged transport through EVERY link must equal b, with or without6drive noise -- slips redistribute the transfer in time, not in mean. This is the7content of the manuscript's flux-conservation lemma: the deep-MOND enhancement8cannot arise as a modification of the mean static force.9"""10import numpy as np1112rng = np.random.default_rng(3)13M, dt, T = 20, 0.05, 300_00014burn = 100_00015b = 0.3 # demand well inside capacity, so a stationary state exists16ok = True17for noise in (0.0, 0.3): # noise amplitude (drive-noise floor)18 th = np.zeros(M + 1)19 J = np.zeros(M) # accumulated transport per link (smooth + slips)20 for step in range(T):21 dphi = np.diff(th) # th[i+1]-th[i]22 flux = np.sin(-dphi) # transport i -> i+123 dth = np.zeros(M + 1)24 dth[:-1] -= flux25 dth[1:] += flux26 dth[0] += b27 eta = np.zeros(M + 1)28 if noise:29 eta[1:-1] = rng.normal(0, noise, M - 1)/np.sqrt(dt) # ambient drive noise30 th[:-1] += dt*(dth[:-1] + eta[:-1])31 th[-1] = 0.0 # absorber pinned to the drive32 if step >= burn:33 J += flux*dt34 Jbar = J/((T - burn)*dt)35 spread = np.max(np.abs(Jbar - b))36 print(f" noise={noise:.1f}: mean flux per link = {Jbar.mean():.4f} (demand b={b}), "37 f"max deviation {spread:.4f}")38 if abs(Jbar.mean() - b) > 0.02 or spread > 0.05: ok = False39print("PASS" if ok else "FAIL", "- flux conservation under noise")40