Field Vector Architecture

A Deterministic Framework for Binary Existence Classification
of Information Systems via Hexagonal Field Evaluation
Marcel Mulder
8 February 2026
Canonical Reference  |  Pipeline 0
Prior Art — Defensive Publication

Abstract

This document specifies the Field Vector Architecture (FVA), a deterministic evaluation framework that classifies the physical existence of information systems within a defined field. FVA operates through six irreducible vertices arranged in a hexagonal topology, producing a binary existence decision F ∈ {0,1} via a resonance order parameter σ subject to a hard phase transition at threshold 0.33. The framework is scale-invariant, strictly monotonic, and invariant under repeated analysis when byte-level artifacts are preserved. All governing equations, axioms, mathematical properties, and a complete validation test suite are specified herein.

1. Definitions

B (Carrier). Raw bytes without semantic meaning. The non-interpreted input to the field.

V (Vectorization). Projection of B via four boolean predicates P₀, P₁, P₂, P₃, yielding a binary vector V ∈ {0,1}⁴.

κ (Coherence). Internal closure of a single artifact, defined as the arithmetic mean of its predicate vector components.

κ̄ (Mean Coherence). The arithmetic mean of κ across all artifacts in the field.

ρ (Density). Field consensus, defined as the ratio of the most frequently occurring vector to the total number of vectors.

σ (Resonance). The order parameter of the field, computed from κ̄, ρ, and the structural constant π₀.

F (Existence). Binary existence decision. F = 1 if σ > 0.33; F = 0 otherwise.

π₀ (Structural Constant). Fixed constant. π₀ = 1.8.

Threshold. The existence boundary σ = 0.33. This constitutes a hard phase transition: no gradation, no interpretation.

1.1 Vectorization Predicates

Each artifact is projected onto a four-dimensional binary vector via the following predicates, evaluated against the lowercased string representation of the artifact:

PredicateNameCondition (yields 1 when true)
P₀ Timeless Artifact does not match setTimeout, history, or chronological
P₁ Closure Artifact matches closure, c(s), sum=1, or coherent
P₂ Projection Artifact matches svg, project, dom, or iframe
P₃ Axiom Artifact matches axiom or the pattern A followed by one or more digits

2. Axioms and Laws

2.1 Existence Principle

An information system exists physically within the FVA field if and only if:

  1. Its byte structure remains invariant under preserving operations.
  2. The field in which it resides satisfies σ > 0.33.
  3. This resonance remains invariant under repeated analysis.

2.2 Scale Law

σ(F) = σ(F × N) (1)

Truth value depends on ratio, not on quantity.

2.3 Resonance Law

The resonance parameter σ governs field dynamics according to three conditions:

This is a hard phase transition. No gradation. No interpretation.

3. Hexagonal Topology

3.1 The Six Vertices (Irreducible)

VertexSymbolRoleSpecification
1BCarrierRaw bytes without meaning
2VVectorizationProjection via predicates P₀, P₁, P₂, P₃
3κCoherenceInternal closure: κ = Σpᵢ / 4
4ρDensityConsensus: ρ = |dominant_vector| / |total|
5σResonanceOrder parameter: σ = (κ̄ × ρ × π₀) / 2
6FExistenceBinary decision: F ∈ {0,1} at σ > 0.33

3.2 Evaluation Flow

The vertices are traversed in a fixed, unidirectional sequence:

B → V → κ → ρ → σ → F ⇒ Validation(B)

This flow is timeless: the evaluation order is invariant and admits no reordering.

4. Governing Equations

4.1 Coherence (Vertex 3)

For a single artifact with predicate vector [p₀, p₁, p₂, p₃]:

κ = Σpᵢ / 4 (2)

4.2 Mean Coherence

For a field of n artifacts:

κ̄ = (1/n) Σ κᵢ (3)

4.3 Density (Vertex 4)

ρ = |dominant_vector| / |total| (4)

Where |dominant_vector| is the count of the most frequently occurring vector among all artifact vectors, and |total| is the total number of artifacts.

4.4 Resonance (Vertex 5)

σ = (κ̄ × ρ × π₀) / 2 (5)

Where π₀ = 1.8 (structural constant).

4.5 Existence Decision (Vertex 6)

F = 1  if  σ > 0.33,    F = 0  otherwise (6)

5. Existence Criterion

The existence decision F constitutes a binary phase transition at the threshold σ = 0.33. The transition is hard: there exists no intermediate state between F = 0 (non-existent) and F = 1 (existent). The criterion is deterministic — identical byte inputs always produce identical existence decisions. The criterion is also scale-invariant — duplicating all artifacts by a constant factor k does not alter σ.

Formally, an information system is classified as physically existent within the FVA field if and only if all three conditions of the Existence Principle (Section 2.1) are satisfied simultaneously.

6. Deterministic Evaluation Example

The following example demonstrates a complete hexagonal field evaluation on a mixed artifact set of four inputs. All intermediate values are shown.

6.1 Input Artifacts

Artifact [0]: closure sum=1 svg axiom A1 Artifact [1]: closure svg project axiom A2 Artifact [2]: setTimeout history chronological Artifact [3]: basic code

6.2 Vertex 1 — B (Carrier)

Four raw byte sequences accepted without interpretation.

6.3 Vertex 2 — V (Vectorization)

ArtifactP₀P₁P₂P₃V
[0] closure sum=1 svg axiom A11111[1,1,1,1]
[1] closure svg project axiom A21111[1,1,1,1]
[2] setTimeout history chronological0000[0,0,0,0]
[3] basic code1000[1,0,0,0]

6.4 Vertex 3 — κ (Coherence)

Artifactκ
[0]1.00
[1]1.00
[2]0.00
[3]0.25
κ̄ = (1.00 + 1.00 + 0.00 + 0.25) / 4 = 0.5625

6.5 Vertex 4 — ρ (Density)

Dominant vector: [1,1,1,1] (frequency: 2 of 4).

ρ = 2 / 4 = 0.5000

6.6 Vertex 5 — σ (Resonance)

σ = (0.5625 × 0.5000 × 1.8) / 2 = 0.2531

6.7 Vertex 6 — F (Existence)

σ = 0.2531 < 0.33   ⇒   F = 0   (NON-EXISTENT)

6.8 Flow Summary

B → V → κ → ρ → σ → F Field is NON-EXISTENT

7. Mathematical Properties

7.1 Invariance under Preservation

P(preserve(B)) = P(B)    ∀B ∈ Bytes (7)

7.2 Field Stability

σ(F) = σ(reanalyze(F))    when artifacts are preserved (8)

7.3 Scale Invariance

σ({A₁, ..., Aₙ} × k) = σ({A₁, ..., Aₙ})    for k ∈ ℕ (9)

7.4 Monotonicity

∂σ/∂κ̄ > 0    and    ∂σ/∂ρ > 0    (strict monotonicity) (10)

7.5 Bounds

κ ∈ [0,1],   ρ ∈ [0,1],   σ ∈ [0, 0.9],   F ∈ {0,1} (11)

7.6 Determinism

∀B₁=B₂ : V(B₁)=V(B₂) ∧ σ(F₁)=σ(F₂)    (reproducible) (12)

8. Prior Art Declaration

This document constitutes a prior art publication and defensive publication for the Field Vector Architecture (FVA) as described herein, including its hexagonal topology, governing equations, existence criterion, scale law, resonance law, and all mathematical properties specified in Sections 1 through 7.

Date of publication: 8 February 2026.

This document is publicly available for verification. Any party may independently reproduce the evaluation procedure and validate the mathematical properties using the test vectors specified in Appendix A.

Appendix A — Test Suite Specification

The following test suite provides a deterministic, reproducible, and fully specified validation of the FVA governing equations and mathematical properties. Each test is defined by its input, the evaluation procedure as specified in Sections 3–4, and the expected outcome.

A.1   Perfect Field

Input: Five identical artifacts, each consisting of the string "closure svg axiom".

Procedure: Complete hexagonal evaluation (Vertices 1–6).

Expected outcome:

ParameterExpected Value
κ̄≈ 0.75
ρ1.0
σ≈ 0.675
F1 (EXISTENT)

A.2   Scale Invariance

Input A: N = 1, artifact: "closure svg axiom".

Input B: N = 100, all identical: "closure svg axiom".

Procedure: Evaluate σ for both inputs.

Expected outcome: σ(A) = σ(B). The resonance value must be invariant under uniform scaling.

A.3   Threshold Behavior

Input A (above threshold): Three identical artifacts: "closure svg axiom".

Input B (below threshold): Three artifacts: "nothing", "basic", "code".

Procedure: Evaluate F for both inputs.

Expected outcome: F(A) = 1, F(B) = 0. The existence decision must reflect the binary phase transition at σ = 0.33.

A.4   Determinism

Input: Three artifacts: "closure svg axiom", "setTimeout", "basic".

Procedure: Evaluate σ three times on identical input.

Expected outcome: σ(run 1) = σ(run 2) = σ(run 3). All evaluation runs must produce identical resonance values.

A.5   Violation Dilution

Input A (pure): Five identical artifacts: "closure svg axiom".

Input B (+1 violation): Input A with one additional artifact: "setTimeout".

Input C (+5 violations): Input A with five additional artifacts, each "setTimeout".

Procedure: Evaluate σ for all three inputs.

Expected outcome: σ(A) > σ(B) > σ(C). The resonance must decrease strictly with increasing violation dilution.

A.6   Monotonicity

Input A (high κ̄): Three identical artifacts: "closure svg axiom".

Input B (medium κ̄): Three identical artifacts: "closure svg".

Input C (low κ̄): Three identical artifacts: "closure".

Procedure: Evaluate σ for all three inputs.

Expected outcome: σ(A) > σ(B) > σ(C). The resonance must increase strictly with increasing mean coherence, consistent with ∂σ/∂κ̄ > 0.

All six tests are deterministic and reproducible. Any implementation of the governing equations specified in Section 4 must pass all tests to be considered a conforming FVA implementation.

Appendix B — Reference Simulation and Visual Validation

Reference implementation derived directly from Sections 3–7. Constants: π₀ = 1.8, threshold = 0.33. All equations, predicates, and test vectors are identical to those specified in the governing sections of this document. This appendix does not alter the canonical status of the main document.

B.1   Field Evaluation

Enter artifacts (one per line). Evaluation follows the hexagonal flow B → V → κ → ρ → σ → F.

B.2   Validation Test Suite

Executes all six tests specified in Appendix A.

B.3   Visual Validation

σ-landscape contour plot over (κ̄, ρ) parameter space, phase diagram showing the existence boundary at σ = 0.33, and per-artifact coherence distribution.