Holographic Harmonic Model — Axioms & Metatheorems

The rules and cross-domain consequences that structure Ψ(x,t)

Why start with axioms?

Axioms give us testable starting points. In HHM the foundation is not space, time, or matter, but Ψ(x,t)—the structured field that collapses into what we observe. Axioms specify how Ψ is allowed to behave so we can measure, compare, and falsify claims.

How we use them: Each axiom ties to operators (e.g., OP001 CollapsePattern, OP003 Echo, OP002 Rec, OP006 UnifiedEntropy) and components. Results are reported via the schemas in HHM_bundle.json.

AX000 — Epistemic Primacy of Ψ

Statement: All observation begins with Ψ(x,t)—the modal field of the moment.

Why it’s needed

Rather than assume a fixed background (space/time), we start from structured patterns that are actually measured.

How it’s tested

Analyses proceed directly on field data (EEG segments, glyph sequences, harmonic maps) prior to external clocks or coordinates.

What it changes

Reality is read as structure-first; time/space emerge from relations among Ψ-states.

AX001 — Hilbert-Based Projection

Statement: Ψ must be measured via projection into a basis (harmonic, symbolic, spatial) in a Hilbert-like space.

Why it’s needed

Ψ is too rich to observe “raw.” Basis projections make it computable and comparable.

How it’s tested

What it changes

Truth is structure-through-projection; multiple valid views can agree on the same underlying Ψ.

AX002 — Rhythmic Recurrence

Statement: Ψ(x,t) recurs. Repetition underlies measurement, memory, and meaning.

How it’s tested

Implication

“New vs old” shifts to “recurs vs not”—identity grows with recurrence strength.

AX003 — Modal Collapse Stability

Statement: Collapses tend to stabilize into consistent modal forms (loops/orbits).

How it’s tested

Implication

Predictable attractors enable memory and long-form patterning across domains.

AX004 — Scale-Invariant Dynamics

Statement: The same modal dynamics appear across scales and domains.

How it’s tested

Cross-domain comparisons using OP002/OP003/OP014 show matched structure despite differing units/frequencies/symbols.

Implication

Insights transfer between neuroscience, cosmology, bioacoustics, and symbols.

AX005 — Information Conservation in Ψ

Statement: Information is transformed, not destroyed, across collapses.

How it’s tested

Implication

Identity and meaning can reappear after change; “loss” often measures as structural redistribution.

📥 Download Axiom Dataset

JSON structure of the axioms and links to validations:

Download HHM_Axioms_Metatheorems_T14.json

Metatheorems of HHM

Metatheorems are cross-domain consequences of the axioms. Each has measurable criteria using HHM operators and can be extended or falsified with new data.

MT0001 — Axial Saturation

Definition: Under iterative application, Ψ tends toward a stable modal amplitude (attractor).

Tests

Domains

EEG (meditation loops), CMB bands, compressed streams, decohering quantum states, gene oscillators.

Depends on

AX000, AX003, AX004

MT0002 — Temporal Recurrence

Definition: Ψ exhibits measurable recurrence across time.

Tests

Depends on

AX000, AX002

MT0003 — Modal Identity Preservation

Definition: Identity persists under transformation when structural metrics remain within bounds.

Typical bounds

Depends on

AX001, AX005

MT0004 — Field Similarity

Definition: Structurally similar Ψ-states can be recognized across domains.

Tests

Depends on

AX002, AX005

MT0005 — Modal Transition

Definition: Transitions follow measurable pathways in modal space.

Tests

Depends on

AX002, AX004

Metatheorem T014 — Robust Modal Identity

Statement: If two Ψ-states cross agreed thresholds on structure metrics, they are expressions of the same identity, independent of domain/scale/substrate.

Operator thresholds (typical)

Exact thresholds can vary by dataset; see your HHM_bundle.json for the Result Card schema and null models.

Why it matters

Identity is structural. When structure recurs, identity persists—even across media, systems, or eras.

Download

Download HHM_Axioms_Metatheorems_T14.json
Safety & claims: HHM measures patterns; it does not diagnose disease, guarantee forecasts, or replace professional judgment. Treat outputs as research signals until independently validated.