Volume 36: Robbins–Siegmund Contraction, Fixed-Resolution Entropy Closure (Q₍δ₎; S_traj→0), and Glyph-Quantized Ledger Determinism (SHA-256)
Authors/Creators
Description
This volume establishes Robbins–Siegmund contraction and fixed-resolution entropy closure in the RSI framework, with a block-diagonal SU(3) kernel, square-summable noise schedules, and a deterministic glyph-quantized ledger. The attested run certifies Xn→0X_n\to 0Xn→0 almost surely and Straj→0S_{\text{traj}}\to 0Straj→0 for a centered mid-tread, odd-bin quantizer, under assumptions S1–S5 and a pinned environment with byte-stable artifacts.
Core certificate results
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Theorems: T1 (Robbins–Siegmund contraction) and T2 (fixed-resolution entropy closure) formally stated and certified under S1–S5.
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Kernel & schedule: JJJ block-diagonal with SU(3) unitary blocks scaled to σ=∥J∥2<1\sigma=\|J\|_2<1σ=∥J∥2<1; ρn\rho_nρn square-summable with exemplar c⋅n−αc\cdot n^{-\alpha}c⋅n−α, α∈(1/2,1]\alpha\in(1/2,1]α∈(1/2,1].
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Decision: PRIMARY_PASS = True; all 17 gates PASS.
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Certificate: sha256 =
3069ac9667…c10(DATE: 2025-11-05). -
Precision set: float64, float128, and mpmath high precision (≥382-bit mantissa).
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Deterministic ledger:
v36/ledger.jsonlwith 41 entries; manifest andSHA256SUMS.txtemitted.
🧮 Canonical Constructs
| Construct | Definition |
|---|---|
| S1–S5 | σ<1\sigma<1σ<1; ∑ρn2<∞\sum\rho_n^2<\infty∑ρn2<∞; E[ξn]=0\mathbb E[\xi_n]=0E[ξn]=0; Var(ξn)⪯Id\mathrm{Var}(\xi_n)\preceq I_dVar(ξn)⪯Id; ∥X0∥<∞\|X_0\|<\infty∥X0∥<∞. |
| T1 — RS contraction | Under S1–S5, Xn+1=JXn+ρnξnX_{n+1}=JX_n+\rho_n\xi_nXn+1=JXn+ρnξn ⇒ Xn→0X_n\to 0Xn→0 a.s. |
| T2 — Entropy closure | Fixed Δ and centered mid-tread odd-bin QQQ: Straj(Q(Xn))→0S_{\text{traj}}({Q(X_n)})\to 0Straj(Q(Xn))→0. |
| Borel–Cantelli audit | Tail exceedance test An={∥Xn∥>Kρnd}A_n=\{\|X_n\|>K\rho_n\sqrt d\}An={∥Xn∥>Kρnd} with ∑nP(An)<∞\sum_n \mathbb P(A_n)<\infty∑nP(An)<∞. |
| Cross-precision bound | Shared ξn\xi_nξn; ∥∥Xn∥(64)−∥Xn∥(128)∥∞≤3 ρN\|\|X_n\|^{(64)}-\|X_n\|^{(128)}\|_\infty \le 3\,\rho_N∥∥Xn∥(64)−∥Xn∥(128)∥∞≤3ρN. |
⚙️ Key Modules
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Environment lock and seeds: emit
v36/artifacts/v36_env.json; set OMP_NUM_THREADS=1\mathrm{OMP\_NUM\_THREADS}=1OMP_NUM_THREADS=1, OPENBLAS_NUM_THREADS=1\mathrm{OPENBLAS\_NUM\_THREADS}=1OPENBLAS_NUM_THREADS=1. -
Noise-bank builder: deterministic ξn\xi_nξn array, Nbank≥105N_{\text{bank}}\ge 10^5Nbank≥105.
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Multi-precision simulators: float64, float128, mpmath runs with shared ξn\xi_nξn and tail audits.
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Entropy auditor: centered mid-tread dyadic QQQ; tail median and log-slope checks.
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Borel–Cantelli & cross-precision gates: exceedance counts and ρN\rho_NρN-scaled discrepancy.
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Ledger & manifest: append
ledger.jsonl; emitmanifest.jsonandSHA256SUMS.txt.
🔬 Findings
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Contraction: tail norms satisfy RS targets across float64/float128/mpmath; theory links by supermartingale margin γ=1−σ2>0\gamma=1-\sigma^2>0γ=1−σ2>0.
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Entropy: fixed-resolution StrajS_{\text{traj}}Straj decreases to zero with non-positive tail log-slope and smallness gate satisfied.
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Cross-precision: ∞\infty∞-norm discrepancy bounded by 3ρN3\rho_N3ρN on the shared ξn\xi_nξn bank.
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Reproducibility: environment pinned; deterministic seeds (ϕ=1729\phi=1729ϕ=1729) and byte-stable ledger.
🔁 Continuity
Carries the cryptographic ledger and artifact practice from the spectral kernel line (V29) and maintains certified, byte-stable replay; extends to SU(3)-structured contraction with entropy closure gates and a cross-precision audit.
Reproducibility & Provenance
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Environment:
python=3.12.12,numpy=2.0.2,mpmath=1.3.0; threads pinned; BLAS info recorded. Artifacts includev36_env.json,xi_bank.npy,entropy_def_centered.json,heavy_tail_clip.json,ledger.jsonl,SHA256SUMS.txt,README.md. -
Certificate: DATE 2025-11-05; sha256
3069ac9667…c10; decision PRIMARY_PASS=True with 17/17 gates.
Scope & Limits
Linear JJJ with σ<1\sigma<1σ<1; fixed quantization resolution; heavy-tail validation for pre-scaled, clipped Student-t(2.5). Nonlinear JJJ, adaptive quantization, and broader α\alphaα-stable laws are deferred.
Files
Volume 36 - Recursive Contraction and Entropy Closure.pdf
Additional details
Software
- Programming language
- Python
- Development Status
- Unsupported