Regime Entanglement Cases — RTT/1
High‑Coupling Interlock Cases for the Regime Interlock Mapper (RIM)#
Entanglement interlocks represent the strongest form of regime interaction.
Unlike structural or boundary interlocks, entanglement cases exhibit bidirectional influence, non‑decomposability, and coherence‑linked coupling across regimes.
This document provides canonical RTT/1 entanglement cases used by:
- RIM‑Entangle
- RIM‑Detect
- RIM‑Interlock
- RIM‑Resolve
- TRS (Triadic Regime Synthesizer)
- PGA (Paradox Gradient Analyzer)
- CTE (Coherence Tensor Engine)
1. Conceptual ↔ Computational Entanglement (R1 ↔ R2)#
Case: Mutual Model Feedback Loop#
Description
Conceptual assumptions shape computational models; computational outputs reshape conceptual assumptions.
Characteristics
- bidirectional influence
- high coherence dependency
- medium stability
- feedback‑driven drift sensitivity
RIM Output
{
"regime_a": "R1",
"regime_b": "R2",
"interlock_type": "entanglement",
"boundary_condition": "mutual-feedback",
"interlock_strength": 0.91,
"entanglement_score": 0.88,
"stability_rating": 0.52
}2. Physical ↔ Dimensional Entanglement (R3 ↔ R4)#
Case: Resonance‑Coherence Coupling#
Description
Physical resonance patterns influence dimensional coherence; dimensional coherence alters physical resonance.
Characteristics
- resonance amplification
- coherence curvature
- high entanglement
- medium stability
RIM Output
{
"regime_a": "R3",
"regime_b": "R4",
"interlock_type": "entanglement",
"boundary_condition": "resonance-coherence",
"interlock_strength": 0.93,
"entanglement_score": 0.91,
"stability_rating": 0.49
}3. Computational ↔ Physical Entanglement (R2 ↔ R3)#
Case: Drift‑Amplification Loop#
Description
Computational drift increases physical drift sensitivity; physical drift feeds back into computational drift envelopes.
Characteristics
- drift amplification
- instability ridge formation
- medium‑high entanglement
- low stability
RIM Output
{
"regime_a": "R2",
"regime_b": "R3",
"interlock_type": "entanglement",
"boundary_condition": "drift-amplification",
"interlock_strength": 0.87,
"entanglement_score": 0.72,
"stability_rating": 0.41
}4. Conceptual ↔ Dimensional Entanglement (R1 ↔ R4)#
Case: Coherence‑Gradient Coupling#
Description
Conceptual coherence gradients align with dimensional coherence gradients, forming a multi‑layer coherence ridge.
Characteristics
- coherence gradient alignment
- medium entanglement
- high stability
- low drift
RIM Output
{
"regime_a": "R1",
"regime_b": "R4",
"interlock_type": "entanglement",
"boundary_condition": "coherence-gradient",
"interlock_strength": 0.76,
"entanglement_score": 0.35,
"stability_rating": 0.68
}5. Tri‑Regime Entanglement (R1 ↔ R2 ↔ R3)#
Case: Coherence Tensor Binding#
Description
A multi‑regime coherence tensor binds conceptual, computational, and physical coherence into a unified structure.
Characteristics
- multi‑regime tensor
- high coherence dependency
- high entanglement
- medium stability
RIM Output
{
"regime_a": "R1",
"regime_b": "R2",
"regime_c": "R3",
"interlock_type": "entanglement",
"boundary_condition": "coherence-tensor",
"interlock_strength": 0.94,
"entanglement_score": 0.89,
"stability_rating": 0.57
}6. Dimensional Tensor Entanglement (R2 ↔ R4)#
Case: Dimensional Tensor Constraint#
Description
Dimensional tensors constrain computational pathways, forcing coherence‑aligned computational structures.
Characteristics
- tensor constraint
- medium‑high entanglement
- medium stability
- coherence‑driven structure
RIM Output
{
"regime_a": "R2",
"regime_b": "R4",
"interlock_type": "entanglement",
"boundary_condition": "dimensional-tensor",
"interlock_strength": 0.88,
"entanglement_score": 0.72,
"stability_rating": 0.63
}7. Entanglement Case Matrix Snippet#
{
"regime_a": "R3",
"regime_b": "R4",
"interlock_type": "entanglement",
"boundary_condition": "resonance-coherence",
"interlock_strength": 0.93,
"entanglement_score": 0.91,
"stability_rating": 0.49
}Status#
- Version: 1.0
- Status: canon‑stable
- Category: rtt‑structural
- Module Path:
/docs/rtt/Regime_Interlock_Mapper/