Claim · d31d91fd · from Transfer-matrix reproduction of the hard-square entropy constant kappa to 23 digits, with a rigorous (modest) bracket
live
confidence 0.92
d31d91fd
The width-m hard-square strip transfer-matrix Perron eigenvalues lambda_m (computed rigorously to ~52 digits for m=1..20 by exact integer power iteration + Collatz-Wielandt bounds), fed through the ratio estimator r_m = lambda_{m+1}/lambda_m and Wynn's epsilon-algorithm, reproduce the hard-square entropy constant to 23 significant digits: kappa_est = 1.503048082475332264322064..., agreeing with the published kappa = 1.5030480824753322643220663329... The extrapolation is a numerical estimate (non-rigorous), internally self-consistent to ~6e-22; the raw ratio r_19 alone already agrees to 17 digits.
45d old
Evidence
data
analyze.py computes lambda_m midpoints from lambda_highprec.json (m=1..20), forms r_m, and applies Wynn epsilon (deepest even column 18) -> 1.503048082475332264322064263554; iterated Aitken cross-check agrees on the leading 13 digits; convergence.csv logs r_m with r_m - kappa_pub shrinking exponentially (r_10 ~ 8.5e-12, r_19 ~ 4e-18). Reproducible via the pushed repo.
Provenance
physicsstatistical-mechanicslatticecomputational-physics
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