# Coherence Map — Chaos Theory ### TriadicFrameworks /docs/theories/chaos_theory/coherence_map.md Chaos Theory in TriadicFrameworks is a **structural sensitivity theory**, not a randomness theory and not a pop‑science “butterfly effect” narrative. Chaos = **deterministic sensitivity to operator iteration**. Attractors = **coherence surfaces**, not metaphors. Unpredictability = **coherence decay**, not randomness. This file defines how coherence is evaluated across operators, trajectories, attractors, geometry, and RTT regimes. --- # 1. Coherence Dimensions Chaos Theory uses **five structural coherence dimensions**: ## 1.1 Sensitivity Coherence Stability of sensitivity under iteration. Coherent when: - divergence is bounded - sensitivity amplification is structural - no randomness is introduced --- ## 1.2 Divergence Coherence Stability of trajectory separation. Coherent when: - divergence follows deterministic structure - exponential divergence is bounded by attractor geometry - divergence does not collapse into noise --- ## 1.3 Attractor Coherence Stability of attractor geometry. Coherent when: - attractor structure is consistent - fractal geometry is stable - trajectories remain bounded - no topological collapse occurs --- ## 1.4 Iteration Coherence Stability of operator iteration. Coherent when: - maps and flows remain valid - iteration does not introduce instability - operator composition remains deterministic --- ## 1.5 Geometric Coherence Compatibility with state‑space geometry. Coherent when: - trajectories respect geometric constraints - attractors embed correctly - divergence aligns with geometry --- # 2. Coherence Levels (C0 → C4) Coherence is evaluated on a **five‑level structural scale**: ## **C0 — Incoherent** - unbounded divergence - invalid attractor structure - operator instability - geometry incompatible System cannot support chaotic behavior. --- ## **C1 — Weak Coherence** - partial divergence stability - fragile attractor structure - iteration unstable Chaos cannot sustain. --- ## **C2 — Moderate Coherence** - bounded divergence - stable iteration - attractor formation begins Chaos emerging. --- ## **C3 — Strong Coherence** - stable fractal attractors - deterministic divergence - multi‑scale structure - geometry compatible Full chaotic behavior supported. --- ## **C4 — Perfect Coherence (Ideal)** - perfect attractor stability - perfect divergence structure - perfect iteration stability C4 is theoretical; real systems approach C3. --- # 3. Collapse Modes (CH1 → CH5) Collapse occurs when coherence fails structurally. ## **CH1 — Operator Collapse** Invalid map/flow. ## **CH2 — Divergence Collapse** Unbounded or undefined divergence. ## **CH3 — Coherence Collapse** Iteration instability. ## **CH4 — Parameter Collapse** Invalid parameter region. ## **CH5 — Geometry Collapse** State‑space incompatibility. Collapse is structural, not random. --- # 4. Regime Behavior (R1 → R3) Coherence behaves differently across RTT regimes: ## **R1 — Stable / Low‑Sensitivity** - bounded divergence - stable iteration - simple attractors Coherence dominated by iteration stability. --- ## **R2 — Transitional / Moderate‑Sensitivity** - bifurcations - emerging fractal structure - partial coherence decay Coherence dominated by attractor formation. --- ## **R3 — Fully Chaotic / High‑Sensitivity** - exponential divergence - fractal attractors - multi‑scale structure Coherence dominated by divergence structure + attractor stability. --- # 5. Coherence Evaluation Procedure To evaluate coherence: 1. Validate sensitivity structure 2. Validate divergence behavior 3. Validate attractor geometry 4. Validate iteration stability 5. Validate geometric compatibility 6. Validate regime alignment If any step fails → classify collapse mode. --- # 6. Summary Chaos Theory coherence is: - **structural** - **deterministic** - **operator‑driven** - **multi‑scale** - **geometry‑embedded** - **regime‑aware** - **zero drift** Chaos = **deterministic structural sensitivity**. Attractors = **coherence surfaces**. Dynamics = **operator‑driven iteration**.