Convergence Dynamics

How the 512-state occupancy mixes to a uniform stationary distribution — whose Hamming-weight marginal is the Binomial(9,½) bell curve, a generic hypercube baseline that non-ASH controls also reproduce

Hamming-weight occupancy approaching the Binomial(9,1/2) baseline

Mixing to the Uniform Baseline

Under the controlled single-bit-flip noise kernel, the state occupancy mixes toward uniform from any starting distribution, so the Hamming-weight histogram approaches the Binomial(9,½) profile (mean weight 4.5, variance 2.25, spanning the weight-4 and weight-5 shells). This bell shape is the generic uniform-hypercube baseline: a uniform start already has it, and non-ASH controls (pure noise, or a random weight-4 transform) reproduce it. ASH code (XOR) transforms with no noise instead stay confined to a 16-state code orbit (weights concentrated on 0, 4, 8) and do not converge (TV ≈ 0.73 from the binomial) — so the bell curve is not evidence of ASH-specific Gaussian convergence.

The committed reference run (1,000 agents, 250 ticks, noise p = 0.01, seed 20260624, uniform start, ASH transform) reaches a total-variation distance of 0.032 to the Binomial(9,½) baseline. There is no separate “6% noise threshold”: the noise kernel mixes to uniform for any 0 < p < 1.

Markov Chain Analysis

The dynamics form a finite-state Markov chain on F29 (512 vertices of the 9-cube Q9, degree 9). Irreducibility and aperiodicity come from the noise kernel, not the XOR transforms: the lazy single-bit-flip kernel P = (1−p) I + (p/9) Σi Fi is symmetric, doubly stochastic, irreducible and aperiodic (self-loop probability 1−p), so by the Perron–Frobenius theorem it has a unique stationary distribution — the uniform law on all 512 states.

ASH XOR code translations alone are not irreducible: with no noise they stay inside a single 16-state code orbit (the canonical [9,4,4] code has 16 codewords, weight enumerator {0:1, 4:14, 8:1}), so the mixing is driven by the noise, not by the ASH transform.

Different starting distributions relaxing to the same uniform stationary law

Initial Condition Independence

With noise present, four starting configurations — clustered at weight 0, uniformly random, centred near the weight-4/5 shells, and clustered at weight 9 — all relax to the same uniform stationary law, whose Hamming-weight marginal is Binomial(9,½). This initial-condition independence is a generic consequence of the symmetric noise kernel and is reproduced by non-ASH controls; it is not an ASH-specific result. (Without noise, the corner starts would remain confined to a code orbit and would not mix.)

What this shows

These are controlled, seeded finite-Markov computations — a specified deterministic computation, not empirical results. The mixing to Binomial(9,½) is a generic uniform-hypercube baseline that non-ASH controls reproduce; it is not evidence of ASH-specific dynamics, quantum measurement, or physical cosmology.

Scientific status: This page describes interpretive and computational ASH content, not empirically established physics. ASH (v1.1.0) proves specific finite mathematics and specifies deterministic computations; it is not a validated theory of cosmology or consciousness, and the Axioms of Existence are interpretive postulates, not laws.