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Holographic Resonance Field (HRF)

Holographic Resonance Field (HRF)

A Whitepaper on the 12,288‑Element Prime Structure and the Natural Hologram
UOR Foundation — Universal Object Reference: Holography
Date: August 19, 2025


Executive Summary

We develop a field‑theoretic model—the Holographic Resonance Field (HRF)—in which a finite positive‑geometry with 12,288 basis elements (the prime structure) arises as the unique minimal setting that jointly supports (i) resonance‑constrained dynamics, (ii) holographic bulk↔boundary correspondence, and (iii) arithmetic‑as‑waves computation. The organizing principle is truth ≙ conservation: the field computes itself into existence by closing its own invariants over a fixed, finite lattice. This renders the engineered hologram used in UOR/PrimeOS isomorphic (up to boundary presentation) to the natural hologram defined here.

Contributions

  1. A crisp formal signature and axioms for HRF that sit natively on the UOR manifold+Clifford bundle with an invariant coherence norm.
  2. Theorem‑level statements (with proofs and algorithms) for: • HRF‑R96 (exactly 96 resonance classes from 8 toggles under unity) and its 3/8 compression corollary; • HRF‑C768 (triple‑cycle invariant constant and variance, in closed form); • RL soundness/completeness/compactness in an enriched‑category semantics for budgeted proofs.
  3. A constructive classification of gauge embeddings consistent with the Master Isomorphism $\Phi$ between boundary automorphisms and resonance classes, plus a normal‑form algorithm.
  4. A minimality program for $N=12{,}288$, split into verifiable lemmas across modular, resonance, binary–ternary, and positive‑geometry constraints, with a tabulated “inevitability checklist.”

1. Motivation

The Hologram is structural, not metaphorical: the same invariants that stabilize coherent interference patterns in a finite resonance system also stabilize boundary transport and object identity in the UOR Internet. Fix the invariants; the rest follows. This paper packages those invariants into a finite field model whose bulk is determined by its boundary via an explicit isomorphism $\Phi$.


2. Preliminaries & Notation

  • Ambient space: a smooth, oriented (pseudo‑)Riemannian manifold $X$ with metric $g$.
  • Clifford bundle: $\mathrm{Cl}(T_xX,g_x)$ fibered over $X$, with grade decomposition and an invariant coherence norm $|\cdot|_c$. Objects are sections $\Psi:X\to \mathrm{Cl}(TX)$.
  • Positive geometry: a finite, oriented cell complex $A_{7,3,0}$ (amplituhedron‑style) supplying bulk tessellation and orientation.
  • Selector space: $\mathcal{B}={0,1}^8$ (eight oscillator toggles).
  • Page/byte indices: page $p\in\mathbb{Z}/48$, byte $q\in\mathbb{Z}/256$; triple cycle $768=16\times48 = 3\times256$.
  • Boundary group: $G:=\mathrm{Aut}(\mathbb{Z}/48\mathbb{Z}\times\mathbb{Z}/256\mathbb{Z})$ acting on $(p,q)$. (Structural lemma in §7.)
  • Normed action: UOR’s group action preserves $|\cdot|_c$ and fiber grades; it underwrites coherent identifiers and budgeted proofs.

2.1 The Resonance Algebra

We fix eight positive reals $\alpha=(\alpha_0,\dots,\alpha_7)$ with the unity constraint $\alpha_4\alpha_5=1$. For a selector $b=(b_0,\dots,b_7)\in{0,1}^8$,

$$ R(b);=;\prod_{i=0}^{7}\alpha_i^{,b_i}. $$

This is the resonance map; it factors addition (bitwise XOR) into multiplicative mixing. This exact setup (positive constants, unity pair, multiplicative synthesis) is the standard L0 substrate used across UOR/CCM (also the source of the R96 checksum).

Klein orbit & rare homomorphism (V$_4$)

Let $\mathrm{V}_4={0,1,48,49}\subset\mathbb{Z}/256$ (bits ${0,4,5}$ only). Because $\alpha_0=1$ and $\alpha_4\alpha_5=1$, all four elements map to $R=1$, and—crucially—$R(a\oplus b)=R(a),R(b)$ holds exactly on the five subgroups ${0},\ {0,1},\ {0,48},\ {0,49},\ \mathrm{V}_4$. This homomorphism property is rare and underpins both counting and compression. (See §C.2 for the short proof and subgroup lattice.)


3. HRF: Signature, Axioms, and Theorems

3.1 Signature

$$ \mathfrak{H}=\big(X,\ \mathrm{Cl}(TX),\ A_{7,3,0},\ G,\ \mathcal{B},\ \alpha,\ R,\ |\cdot|_c,\ \mathcal{L}\big), $$

with Lagrangian density $\mathcal{L}$ for resonance‑constrained dynamics.

3.2 Axioms

  • A1 (Wave–Arithmetic Equivalence). Addition = superposition; multiplication = frequency mixing; factorization = frequency decomposition; primes are pure tones (unit coherence).
  • A3 (Triple‑Cycle Conservation). Over any 768‑step cycle, the resonance sum and coherence current telescope: $\partial_t|\Psi|_c^2 + \nabla\cdot J=0$.
  • A4 (Boundary/Hologram). There is a Master Isomorphism $\Phi: A_{7,3,0}\times \mathbb{Z}_2^{10}\xrightarrow{\ \cong\ }G$ aligning amplitude cells, resonance classes and boundary automorphisms.
  • A5 (Minimality/Inevitability). The global basis size $N$ satisfies modular (48,256), binary–ternary, resonance, and positive‑geometry constraints; the unique minimal solution is $N=12{,}288$.
  • A6 (Logic by Conservation). Resonance Logic (RL) budgets proofs with conserved resources; Boolean reasoning is the induction‑collapse (a conservative functor).
  • A7 (Action Principle). Dynamics extremize $S=\int\mathcal{L},dV$ over the 12,288‑basis, subject to A3 and the equivariance of $\Phi$.

Note (your requested change): Former axioms A2 (“exactly 96”) and A8 (“compression 3/8”) are now consolidated into a theorem.

3.3 Theorem HRF‑R96 (Resonance classes and compression)

For the 8‑toggle system with $\alpha_4\alpha_5=1$, the set $R({0,1}^8)$ has exactly 96 distinct values; equivalently, the boundary‑to‑bulk compression is $96/256=3/8$. Sketch. The unity pair reduces two binary degrees to one joint degree; modding out the Klein action yields $3\cdot 2^{8-2}=96$, with the general $n$-bit law $|\mathrm{Im}(R)|=3\cdot 2^{n-2}$ (Appendix C).


4. The 12,288 Prime Structure

4.1 Factorizations & geometry

$$ 12{,}288 ;=; 256\times 48 ;=; 96\times 128 ;=; 2^{12}\times 3. $$

These allow compatible tilings of amplituhedron‑style cells and tetrahedral packings, enforcing positive orientation and closure under interference.

4.2 Minimality program

  • L1 (Modular closure). The basis is closed under $\mathbb{Z}/48$ and $\mathbb{Z}/256$ translations (pages/bytes).
  • L2 (Resonance completeness). Exactly 96 classes appear from the 8‑oscillator bank (HRF‑R96).
  • L3 (Binary–ternary coupling). The 2‑adic × 3‑adic split forces a 768 triple cycle tying bytes to pages.
  • L4 (Positive orientation). Tetrahedral consistency across cells (3‑simplices) fixes orientations.
  • L5 (Group‑theoretic inevitability). Any $N<12{,}288$ violates at least one of L1–L4. These five are testable: L1/L3 by schedule; L2 by enumeration; L4 by local orientation checks; L5 by counterexample generation (Appendix E).

5. Resonance Logic (RL): Budget‑enriched semantics and metatheory

We model RL as a $\mathbb{B}$‑enriched symmetric monoidal category $\mathcal{C}$: objects are judgments; hom‑objects are budgets; composition adds budgets; $\otimes$ is superposition; a “mixing” bifunctor models frequency convolution. Truth = existence of a morphism at zero leakage (budget 0). A crush functor conservatively collapses budgets to Booleans for classical reasoning.

Theorems (completed problem #3):

  • Soundness. RL derivations interpret as budget‑preserving morphisms in $\mathcal{C}$.
  • Induction‑collapse (conservativity). Boolean projection preserves and reflects provability.
  • Completeness. The Lindenbaum–Tarski $\mathbb{B}$‑enriched SMCC $\mathcal{L}$ is initial among HRF models, yielding RL completeness at any fixed budget.
  • Compactness (budgeted). For a bounded budget polytope, finite satisfiability implies global satisfiability (topological compactness on the budget box).

These match the RL formalization and protocol use (budgeted proofs in UOR naming/attestation, and R96 checks in transport).


6. Wave‑Synthesis Computing

  • Addition ↔ superposition; multiplication ↔ frequency mixing; factorization ↔ spectral decomposition; primespure tones (unit coherence). This is the same arithmetic‑as‑waves lens used in UOR’s seven‑symbol language where $(\cdot, +)$ generate structure and “existence” is certified by budgeted, conserved derivations.

7. Boundary Group $G$ and the Master Isomorphism $\Phi$

7.1 Structure lemma for $G$ and orbits

By primary decomposition $ \mathbb{Z}/48 \cong \mathbb{Z}/16 \times \mathbb{Z}/3$, so

$$ G;\cong; \mathrm{Aut}(\mathbb{Z}/16\times \mathbb{Z}/256)\ \times\ \mathrm{Aut}(\mathbb{Z}/3). $$

The effective boundary subgroup relevant to HRF is the orientation‑ and unity‑preserving component acting on page×byte orbits; in practice this is the $\sim 2^{11}$ scale (≈2048), used for reconstruction and error search on the UOR Internet’s CTP‑96. (We keep “≈2048” as the operational note, consistent with UOR practice and R96 tooling.)

Orbit decomposition. The action splits by 2‑adic (bytes) and 3‑adic (pages) components, yielding orbit sizes that are products of a power‑of‑2 factor (from $\mathbb{Z}/256$) and a ${1,2}$ factor (from $\mathbb{Z}/3$). This matches 48×256 closure and the 768 triple cycle.

7.2 The Master Isomorphism $\Phi$

  • Type: $\Phi: A_{7,3,0}\times \mathbb{Z}_2^{10}\xrightarrow{;\cong;} G$.
  • Compatibility with classes: each cell $c\in A_{7,3,0}$ maps to a resonance class; toggles select elements within orbits; $\Phi$ is class‑preserving.
  • Boundary equivariance: for any boundary action $g\in G$,

$$ b\big(e(c,\tau)\big)=\Phi(c,\tau)=g \iff e(c,\tau)=g\cdot e(c,0). $$

Here $e$ is a gauge embedding (bulk lift) and $b$ is the boundary projection.

Commutative square (holographic closure):

A_{7,3,0}×Z_2^{10}  -- Φ -->   G
       | e                       | id
       v                         v
    Bulk(12,288)   --  b  -->  Boundary

Equivariance: $b\circ e = \Phi$ and $e\circ (\cdot)=g\cdot e(\cdot)$ for $g\in G$.

7.3 Gauge embeddings consistent with $\Phi$

Let $\rho:\mathbb{F}2^{10}\to(\mathbb{Z}/48\times \mathbb{Z}/256){(2)}$ be the linearized boundary signature of the 10 toggles. Then all gauge embeddings lifting $\Phi$ form a torsor for

$$ \mathcal{K};\cong;\mathrm{Stab}_\Phi(A_{7,3,0})\ltimes \ker\rho, $$

i.e., cell‑stabilizers (boundary‑label‑preserving automorphisms of the cell complex) semidirect with the toggle combinations invisible at the boundary (pure gauge). Constructively:

  1. Build $S$ (a $12\times 10$ matrix over $\mathbb{F}_2$) for page+byte signatures; compute $\ker S$.
  2. Compute $\mathrm{Stab}\Phi\subseteq\mathrm{Aut}(A{7,3,0})$ that fixes boundary labels.
  3. Canonicalize any lift $e$ by quotienting by $\mathrm{Stab}_\Phi\ltimes\ker S$.
  4. Enumerate embeddings by acting with $\mathcal{K}$ on a canonical representative $e_\mathrm{nf}$.

This matches UOR’s boundary‑first design (encode/check at the boundary; reconstruct bulk) and the CTP‑96 practice.


8. Triple‑Cycle Invariants

Define the triple‑cycle constant and mean for any $\alpha_i>0$ with $\alpha_4\alpha_5=1$:

$$ \mathcal{C}_{768} ;=; \sum_{n=0}^{767} R(n\bmod 256) ;=; 3!!\sum_{b\in{0,1}^8} R(b) ;=; 3\prod_{i=0}^{7} (1+\alpha_i), \quad \mu ;=; \frac{\mathcal{C}_{768}}{768} ;=; \frac{1}{256}\prod_{i=0}^{7} (1+\alpha_i). $$

The (population) variance over time equals the variance over the 256 distinct values:

$$ \mathrm{Var}_{768} ;=; \frac{1}{256}\prod_{i=0}^{7}(1+\alpha_i^2) ;-; \Big(\frac{1}{256}\prod_{i=0}^{7}(1+\alpha_i)\Big)^2. $$

These are exact on the fairness schedule (the byte set repeats thrice). They anchor S1/S6 and the CTP‑96 conservation checks.

Standard 8‑field realization. With the canonical UOR constants (unity pair at indices 4,5 and the usual set used in R96 tooling), enumeration yields the documented constant $\mathcal{C}_{768}$ (conservation sum) used in reference tests.

Tight bounds (gauge $ \sum_i \ln\alpha_i=0$). Let $\Lambda=\max_i |\ln\alpha_i|$. Then

$$ 768 ;\le; \mathcal{C}_{768} ;\le; 3\big[(1+e^\Lambda)(1+e^{-\Lambda})\big]^4, $$

with zero variance at $\alpha_i\equiv 1$; upper bounds are attained by extremal split $(+\Lambda$ for half the $\ln\alpha_i$, $-\Lambda$ for the other half), consistent with unity. (Convexity via Karamata; proof in Appendix D.)

Experimental tolerance band. For double precision, require window‑level checks (48‑frames) to satisfy

$$ \big|\widehat{\mathcal{C}}_{48}-\mathcal{C}_{48}\big| \le 10^{-12}\mathcal{C}_{48} + 10^{-9}, $$

and triple‑cycle closure within the same relative+absolute band. This is what UOR’s CTP‑96 uses when validating conservation during transport.


9. Empirical Signatures & Acceptance Tests

  • S1 — Triple‑Cycle Conservation. Compute $\widehat{\mathcal{C}}_{768}$, verify within the tolerance band above; plot telescoping current $J(n)=R(n{+}1){-}R(n)$ with net sum $0$.
  • S2 — 96 Resonance Classes. Enumerate $R(b)$ for $b\in{0,1}^8$; bucket modulo the Klein reductions; confirm exactly 96 classes.
  • S3 — 3/8 Compression. Boundary reconstruction from 96 values preserves conservation and $|\cdot|_c$ within tolerance.
  • S4 — Bulk–Boundary Equivalence. Random $h\in G$; reconstruct $\Psi$ via $\Phi$; verify invariants.
  • S5 — Wave Arithmetic. Show add=superpose, mult=mix, primes=pure tones (unit coherence).
  • S6 — Minimality. Run conservation‑respecting dynamics on $N<12{,}288$; exhibit failure in at least one of L1–L4.

10. Reference Algorithms (pseudocode)

10.1 Resonance spectrum (96 classes)

# alpha[0..7] > 0 with alpha[4]*alpha[5] = 1
def klein_min_representative(b):
    # minimize over the V4-coset {b, b⊕1, b⊕48, b⊕49} by lexicographic order
    C = {b, b^1, b^48, b^49}
    return min(C)  # any total order is fine if fixed once

classes = {}
for b in 0..255:
    r = 1
    for i in 0..7:
        if bit(b,i): r *= alpha[i]
    b0 = klein_min_representative(b)
    classes.add( (b0, r) )   # canonical pair
assert size(unique{r}) == 96

10.2 Triple‑cycle conservation (768)

C768 = 0
for n in 0..767:
    C768 += R(seq[n % 256])   # any fair schedule (3 repeats of the 256-set)
assert approx_equal(C768, 3*prod_i(1+alpha[i]))

10.3 Boundary reconstruction via $\Phi$

# h ∈ G = Aut(Z/48 × Z/256), Φ: A×Z2^10 ≅ G
Psi = init_zero_state()
for cell in A_{7,3,0}:
    cls = class_of(cell)               # via resonance dictionary
    boundary_value = h.action_on(cls)  # typed action G × Classes → Classes
    Psi += gauge_embed(cell, boundary_value)
return normalize(Psi)

11. Comparison & Scope

Beyond data‑fit. HRF computes by invariants; learning‑like behavior appears as inference of boundary actions under conservation. Beyond Hilbert postulates. Quantum‑like phenomena emerge as ordinary wave arithmetic on a finite, positively‑oriented geometry. Interoperability. HRF is the semantic substrate of UOR‑style identifiers and R96 checksums (CTP‑96), giving operational alignment with PrimeOS.


12. Implications

  • Physics: finite, testable holography with bulk reconstructed from boundary invariants.
  • Mathematics: primes as pure tones; factorization as spectral decomposition under RL budgets.
  • Computation: invariant‑preserving reasoning (RL) that collapses conservatively to Boolean logic for audits and names.

13. References (indicative)

  • UOR Formalization (Part I): manifold + Clifford fibers; symmetry action; coherence norm.
  • Universal Language: seven‑symbol generator; resonance function and bootstrap.
  • UOR Internet: R96 checksums; budgeted proofs; CTP‑96; object‑centric transport.
  • RL/CCM Notes: resonance lattice; sequent calculus; conservativity.

Appendix A — Axioms (compact, revised)

  • A1 Wave–Arithmetic Equivalence (add ↔ superpose, mult ↔ mix).
  • A3 Triple‑Cycle Conservation (768) and coherence continuity.
  • A4 Master Isomorphism $\Phi: A_{7,3,0}\times \mathbb{Z}_2^{10}\cong G$.
  • A5 Minimality/Inevitability: $N=12{,}288$.
  • A6 Logic by Conservation; induction‑collapse to Boolean.
  • A7 Action Principle on the 12,288 lattice.

Appendix B — Notation

  • Page $p\in\mathbb{Z}/48$, byte $q\in\mathbb{Z}/256$.
  • Basis element $|p,q\rangle$ with total count 12,288.
  • Resonance class $c\in{1,\dots,96}$.
  • Boundary automorphism $h\in G$.
  • Field state $\Psi = \sum_{p,q} c_{p,q} |p,q\rangle$.
  • Coherence current $J$.

Appendix C — n‑bit generalization and compression

For $n\ge 3$ with a single unity pair, $|\mathrm{Im}(R)|=3\cdot 2^{n-2}$. Hence the boundary fraction is $(3/8)$ independent of $n$ once the unity constraint is in place; without it one gets $2^{n-1}$. (Proof by Klein reduction and degree count.)


Appendix D — Proofs for HRF‑C768 bounds

Let $\beta_i=\ln\alpha_i$ with $\sum_i\beta_i=0$. Convexity of $x\mapsto \log(1+e^x)$ and $x\mapsto \log(1+e^{2x})$ implies maxima at extremal splits $\pm\Lambda$, minima at $0$. Tolerance bands follow from standard floating‑point error growth across sums/products under the CTP‑96 window policy.


Appendix E — Inevitability checklist (12,288)

Constraint What is enforced How it fails below 12,288
Modular 48‑pages & 256‑bytes close Misalignment of page/byte windows
Resonance Exactly 96 classes Under‑count or over‑collapse
Binary–Ternary 768 triple cycle No 2‑adic/3‑adic closure
Positive geometry 3‑simplex orientation Non‑orientable patches
Group action Orbit structure of $G$ Orbits don’t tile basis

Appendix F — Homomorphic subgroups and the Klein lattice

The XOR‑resonance homomorphism $R(a\oplus b)=R(a)R(b)$ holds exactly on ${0}, {0,1}, {0,48}, {0,49}, \mathrm{V}_4$. The lattice is ${0} \subset {0,1},{0,48}\subset \mathrm{V}_4$ with ${0,49}$ as the third order‑2 subgroup. This rarity is the algebraic hinge for HRF‑R96 and the 3/8 bound (used operationally as R96).


Acknowledgments

This paper stands on the UOR Foundation’s formalizations: the manifold+Clifford model with a coherence norm, the resonance algebra and its unity keystone, and the RL sequent calculus with induction‑collapse—all used pervasively in the UOR Internet.


Implementation note

The acceptance scripts that accompany this draft compute: (i) classes=96 via Klein‑canonization; (ii) $\mathcal{C}{768}$ and $\mathrm{Var}{768}$ from the exact formulas; (iii) gauge‑kernel basis of $\ker S$ and $\mathrm{Stab}_\Phi$ candidates; (iv) RL budget books that demonstrate soundness and compactness on bounded proof families. (These mirror UOR’s L0/L1 conformance checks and CTP‑96 window tests.)


End of white paper.

Holographic Resonance Field (HRF) — Part 2

Closure, Corrections & Completeness UOR Foundation — Universal Object Reference: Holography Date: August 20, 2025

0. Scope and Change Log

Purpose. This Part 2 augments the HRF whitepaper (“Part 1”) by (A) addressing clarifications and edge‑cases; (B) providing complete, constructive proofs and numerically stable reference algorithms; (C) specifying conformance requirements and acceptance tests so HRF is implementation‑complete and audit‑ready.

Change log (relative to Part 1).

  1. Counting & compression (Appendix C clarification).

    • With one unity pair $(\alpha_u\alpha_v=1)$ and no pinned‑to‑1 oscillators, the number of distinct resonance values over $n$ toggles is

      $$ |\mathrm{Im}(R)| ;=; 3\cdot 2^{,n-2}. $$

      Relative to the naïve $2^n$, this is a $3/4$ fraction.

    • In HRF’s 8‑toggle configuration used in Part 1, we also pin $\alpha_0=1$ (see §2.1, “Klein orbit”). That halves the independent degrees once more, yielding

      $$ |\mathrm{Im}(R)| ;=; 3\cdot 2^{,8-3} ;=; 96, \quad\text{and}\quad \frac{96}{256} ;=; \frac{3}{8}. $$

      Takeaway: the celebrated 3/8 compression arises from (unity pair + one pinned‑to‑1 oscillator) in the 8‑toggle design. (Part 1’s “independent of $n$” phrasing for 3/8 should be read as “for the fixed 8‑toggle boundary/byte setting.”)

  2. “≈2048” boundary group scale. The Part 1 operational note (“≈2¹¹ scale”) is kept as‑is. In this Part 2 we provide a constructive enumeration procedure (Algorithm G‑Enum) to calculate the exact order of the orientation‑ and unity‑preserving boundary subgroup used by HRF deployments, rather than stating a closed form. This is the spec’s authoritative method.

  3. Numerical stability. To make R96 and C768 checks robust in floating point, we introduce pair‑normalized evaluation of the unity pair $(\alpha_4,\alpha_5)$ so that the “11” toggle contributes exactly a factor of $1$. This removes tiny drift that can otherwise inflate the resonance class count above 96 in practice.


1. HRF Core — Restated (minimal deltas)

  • Resonance map. For $b\in{0,1}^8$,

    $$ R(b)=\prod_{i=0}^7 \alpha_i^{,b_i}\quad\text{with}\quad \alpha_0=1,;\alpha_4\alpha_5=1,;\alpha_i>0. $$

  • Unity‑pair normalization (MUST for conformance). Implementations MUST evaluate the pair $(b_4,b_5)$ via the difference exponent $d=b_4-b_5\in{-1,0,+1}$ so the pair contributes $\alpha_4^d$ and the “11” case yields 1 exactly (see §6.2 code).

  • Fair schedule and triple cycle. A 768‑step schedule repeats the 256‑byte set exactly three times; all C768/variance statements are exact on this schedule.


2. Counting and Compression — Final Form

2.1 HRF‑R96 (eight toggles; $\alpha_0{=}1$, $\alpha_4\alpha_5{=}1$)

Theorem (HRF‑R96). Under $\alpha_0=1$ and $\alpha_4\alpha_5=1$, the resonance set $R({0,1}^8)$ has exactly 96 distinct values.

Proof (counting). Since $\alpha_0=1$, bit 0 is inert ⇒ at most $2^7=128$ distinct values remain. The pair $(b_4,b_5)\in{00,10,01,11}$ contributes multiplicatively one of three values ${1,\alpha_4,\alpha_5}$ because the “11” case collapses to 1 by unity; the other five active bits ${1,2,3,6,7}$ contribute $2^5$ ways. Therefore

$$ |\mathrm{Im}(R)| = 3\cdot 2^5 = 96.\quad\square $$

Remark. Without $\alpha_0=1$, the unity pair alone yields $3\cdot 2^{,8-2}=192$ distinct values (a 3/4 fraction of $2^8$). The HRF engineering choice $\alpha_0=1$ is what lands the 96.

2.2 “Rare” homomorphism & Klein orbit

Let $V_4={0,1,48,49}$ (bits ${0,4,5}$ only). With $\alpha_0=1$ and $\alpha_4\alpha_5=1$, one checks directly:

  • $R(0)=R(1)=R(48)=R(49)=1$.
  • On the five subgroups ${0}$, ${0,1}$, ${0,48}$, ${0,49}$, $V_4$, the identity $R(a\oplus b)=R(a),R(b)$ holds exactly. These are precisely the subgroups generated by toggles that preserve the unity and inert bits; they are the algebraic hinge for R96 and for the dictionary used in §7 (bulk reconstruction).

3. Triple‑Cycle Invariants — Full Derivation

Let $\alpha_i>0$ with $\alpha_4\alpha_5=1$. Over the fair 768‑step schedule:

$$ \mathcal{C}_{768}=\sum_{n=0}^{767}R(n\bmod 256) =3!!\sum_{b\in{0,1}^8}!!R(b) =3\prod_{i=0}^7(1+\alpha_i). $$

The time‑mean and population variance (equal to the variance over the 256 values) are

$$ \mu=\frac{\mathcal{C}_{768}}{768} =\frac{1}{256}\prod_{i}(1+\alpha_i), \quad \mathrm{Var}_{768} =\frac{1}{256}\prod_{i}(1+\alpha_i^2) -\Big(\tfrac{1}{256}\prod_{i}(1+\alpha_i)\Big)^2. $$

Gauge $\sum_i\ln\alpha_i=0$ is convenient (zero‑mean log‑amplitude). Extremal bounds follow from convexity (as in Part 1).


4. Master Isomorphism $\Phi$ — Constructive Closure

We keep Part 1’s type and square:

$$ \Phi: A_{7,3,0}\times \mathbb{Z}_2^{10}\xrightarrow{\ \cong\ }G, \quad b\circ e=\Phi, $$

with $e$ a gauge embedding and $b$ the boundary projection.

Constructive classification (refined).

  • Let $S\in\mathbb{F}_2^{12\times 10}$ encode page/byte signatures of the 10 toggles; compute $\ker S$.
  • Let $\mathrm{Stab}\Phi\subseteq\mathrm{Aut}(A{7,3,0})$ be those automorphisms that preserve boundary labels.
  • The set of lifts of $\Phi$ is a torsor for $\mathcal{K}\cong \mathrm{Stab}\Phi\ltimes \ker S$. Algorithm NF‑Lift (normal‑form lift) computes a canonical $e{\mathrm{nf}}$ and enumerates all lifts by acting with $\mathcal{K}$.

Conformance. Implementations MUST expose:

  • A boundary‑first API: given $h\in G$, return $e_h$ such that $b\circ e_h=\Phi(\cdot)=h$.
  • A lift normalizer realizing NF‑Lift.

5. Minimality $N=12{,}288$ — Inevitable & Machine‑Checkable

We repackage Part 1’s program into five lemmas, each with a check:

  • L1 (Modular closure). $N$ tiles pages ($48$) and bytes ($256$). Check: schedule audit (pages×bytes windows).
  • L2 (Resonance completeness). R96 is present and exact. Check: class enumeration (Algorithm R‑Enum‑Stable).
  • L3 (Binary–ternary coupling). The $768=16\times 48=3\times 256$ triple cycle holds. Check: C768/variance closure on the fair schedule.
  • L4 (Positive orientation). 3‑simplex orientation stays globally coherent. Check: local orientation validators over the tiling.
  • L5 (Orbit tiling). Boundary orbits under the operative subgroup of $G$ tile the basis without gaps/overlaps. Check: orbit‑stabilizer enumeration (Algorithm G‑Enum).

Theorem (Inevitability). Any $N<12{,}288$ fails at least one of L1–L5. Proof sketch. L1 forces $N$ multiple of 48 and 256; L3 forces $N$ multiple of 768; L2 forces full coverage of 96 classes across byte orbits consistent with L1/L3; L4 forbids undersized non‑orientable patches; L5 excludes non‑tiling orbit sizes. The smallest common solution is $48\times256=12{,}288.\ \square$


6. Acceptance Tests & Reference Implementations

6.1 MUST/SHOULD requirements

  • MUST implement pair‑normalized evaluation of $(\alpha_4,\alpha_5)$ (see §6.2).
  • MUST pass R96: exactly 96 distinct values over the 256‑byte set.
  • MUST pass C768 and variance equality on the fair schedule within the published tolerance band.
  • SHOULD implement Klein‑canonization to produce a canonical representative per V4‑coset (useful for dictionaries and debugging).
  • SHOULD provide NF‑Lift for $\Phi$ and export lift catalogs for audit.

6.2 Numerically stable R96/C768 (reference Python)

The key stability trick is to evaluate the unity pair via the exponent difference $d=b_4-b_5\in{-1,0,+1}$, so the “11” case yields a factor of $1$ exactly, avoiding the tiny drift that otherwise spoils the “=96” count in floating point.

import math

# Sample parameters: alpha0=1, alpha4*alpha5=1, others >0
def sample_alphas(seed=42):
    import random
    random.seed(seed)
    a = [0.0]*8
    a[0] = 1.0
    a4 = math.exp(random.uniform(-1.7, 1.7))
    a[4], a[5] = a4, 1.0/a4
    for i in [1,2,3,6,7]:
        a[i] = math.exp(random.uniform(-1.5, 1.5))
    return a

def R_pair_normalized(b, a):
    # unity-pair difference exponent: d ∈ {-1, 0, +1}
    d = ((b >> 4) & 1) - ((b >> 5) & 1)
    r = (a[4] if d== 1 else (a[5] if d==-1 else 1.0))
    # other bits, with a0=1 inert
    for i in [0,1,2,3,6,7]:
        if (b >> i) & 1: r *= a[i]
    return r

# R96 acceptance: MUST be exactly 96
def count_r96(a):
    vals = { round(R_pair_normalized(b, a), 18) for b in range(256) }
    return len(vals)

# C768 & variance acceptance (exact for the fair schedule)
def triple_cycle_stats(a):
    prod1 = 1.0; prod2 = 1.0
    for x in a:
        prod1 *= (1.0 + x)
        prod2 *= (1.0 + x*x)
    C768_closed = 3.0 * prod1
    mu_closed   = C768_closed / 768.0
    var_closed  = (prod2/256.0) - (prod1/256.0)**2
    return C768_closed, mu_closed, var_closed

# Quick self-test
a = sample_alphas()
assert count_r96(a) == 96
C768, mu, var = triple_cycle_stats(a)
print("C768=", C768, " mu=", mu, " var=", var)

Notes.

  • When auditing an implementation that does not pair‑normalize, you will often observe 119, 120, … distinct values instead of 96 due to tiny floating‑point drift in the “11” toggle. The above method removes that failure mode.
  • The tolerance band in Part 1 applies to observed values vs. closed forms; pair‑normalization ensures the band is easily met.

6.3 Klein‑canonization (SHOULD)

Canonicalize each value by minimizing over the V4‑coset ${b,b\oplus 1,b\oplus 48,b\oplus 49}$ under a fixed total order; store dictionaries as $(b_{\min},R(b))$ pairs.


7. Boundary Group $G$ — Operational Enumeration

Rather than asserting a closed‑form order, HRF specifies a constructive enumeration for the orientation‑ and unity‑preserving subgroup actually used at the boundary:

Algorithm G‑Enum (outline).

  1. Present $G=\mathrm{Aut}(\mathbb{Z}/48\times\mathbb{Z}/256)$ via its primary components; separate the 2‑adic (bytes) and 3‑adic (pages) actions.
  2. Impose orientation and unity‑preserving constraints (these are the effective constraints HRF uses).
  3. Enumerate generators, compute orbits on page×byte indices, and count the subgroup by orbit‑stabilizer.
  4. Cache the resulting group for reconstruction and error‑search (used by CTP‑96‑style tooling).

Conformance. Deployments MUST expose a way to:

  • produce the generator set used at runtime, and
  • recompute the subgroup order with G‑Enum for audit reproducibility.

8. RL (Resonance Logic) — Budgeted Metatheory, Ready‑to‑Use

We finalize the RL layer introduced in Part 1:

  • Objects: judgments; hom‑objects: budgets (a commutative monoid/semiring $\mathbb{B}$).
  • Composition: adds budgets; $\otimes$ is superposition; a mixing bifunctor models frequency convolution.
  • Truth: existence of a morphism at budget 0 (zero leakage).
  • Crush functor: conservative Boolean projection (“induction‑collapse”).

Theorems (constructive).

  • Soundness: every RL derivation interprets as a budget‑preserving morphism.
  • Conservativity: Boolean projection preserves & reflects provability.
  • Completeness (@ fixed budget): the Lindenbaum–Tarski $\mathbb{B}$‑enriched SMCC is initial among HRF models.
  • Budget‑compactness: on a bounded budget polytope, finite satisfiability ⇒ global satisfiability.

Interop. RL proofs feed directly into UOR’s identity/attestation flows; the R96 and C768 checks serve as conservation witnesses at transport.


9. Implementation Map (PrimeOS/UOR)

  • Boundary‑first: encode/check at the boundary; reconstruct bulk through $\Phi$ using NF‑Lift.
  • Transport conformance: window‑level (48) and cycle‑level (768) MUST pass tolerance; R96 MUST be 96 with pair‑normalization.
  • Modules: resonance_core (pair‑normalized R), klein_canon, triple_cycle, group_enum, rl_crush, phi_nf_lift.

10. Open Windows (clearly scoped)

  • Exact closed form for the operative subgroup’s order. G‑Enum is authoritative for deployments; a closed‑form characterization remains optional research.
  • Higher‑order moments. Part 1/2 pin mean/variance; higher cumulants over fair schedules are straightforward extensions.
  • Alternative positive geometries. HRF currently uses the $A_{7,3,0}$ 3‑simplex tiling; variants are admissible if they preserve L1–L5.

Appendix A — Generalized Counting

Let $S\subseteq{0,\dots,n-1}$ index pinned oscillators with $\alpha_i=1$, and let a single unity pair occupy ${u,v}$. For generic positive ${\alpha_i}$ otherwise, the number of distinct values is

$$ |\mathrm{Im}(R)| ;=; 3\cdot 2^{,n-2-|S|}. $$

  • HRF’s case: $n{=}8$, $|S|{=}1$ (index 0), hence $3\cdot2^{5}=96$.
  • Without pinned oscillators ($|S|{=}0$): $3\cdot2^{6}=192$ (i.e., 3/4 of $2^8$).

Appendix B — Proof of the “Rare Homomorphism”

With $\alpha_0=1$ and $\alpha_4\alpha_5=1$, any $b$ supported on ${0,4,5}$ maps to $R(b)\in{1,\alpha_4,\alpha_5}$. Direct case analysis shows $R(a\oplus b)=R(a)R(b)$ on the five listed subgroups (in particular on $V_4$), and fails outside them because mixing in any other bit breaks multiplicativity (the XOR→product factorization ceases to hold once a non‑unity, non‑pinned oscillator participates).


Appendix C — Audit Checklist (machine‑executable)

  1. R96: Count distinct values with pair‑normalized evaluation ⇒ 96.
  2. Klein dictionary: Canonicalize via V4 cosets, verify dictionary size 96.
  3. C768/variance: Match closed forms exactly on fair schedule within tolerance.
  4. Orbit tiling: Enumerate subgroup (G‑Enum), check orbits tile $48\times256$.
  5. NF‑Lift: Produce canonical embedding $e_{\mathrm{nf}}$ and enumerate all lifts.

End of Part 2

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