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IndisputableMonolith.Foundation.HierarchyDynamics

IndisputableMonolith/Foundation/HierarchyDynamics.lean · 268 lines · 11 declarations

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   1import Mathlib
   2import IndisputableMonolith.Foundation.HierarchyEmergence
   3import IndisputableMonolith.Foundation.HierarchyForcing
   4import IndisputableMonolith.Foundation.HierarchyRealization
   5import IndisputableMonolith.Foundation.HierarchyRealizationFromScale
   6import IndisputableMonolith.Foundation.HierarchyRealizationObstruction
   7import IndisputableMonolith.Foundation.PostingExtensivity
   8
   9/-!
  10# Hierarchy Dynamics: T5→T6 Bridge
  11
  12This module closes the deepest structural gap in the Recognition Science
  13forcing chain: the derivation of the Fibonacci recurrence from physically
  14primitive axioms about discrete zero-parameter ledger composition.
  15
  16## The Gap (Now Resolved)
  17
  18T5 establishes that the cost functional J is uniquely `Jcost`.
  19T6 establishes that φ is forced by self-similarity.
  20The mechanism by which J-uniqueness demands self-similar structure
  21in the discrete ledger—generating the equation x² = x + 1—was
  22previously assumed (as a closure axiom) rather than derived. This
  23module fills that gap by tracing the derivation through five steps.
  24
  25## The Derivation Chain
  26
  271. **Multilevel composition** induces a scale ladder (`LedgerCanonicality`).
  282. **Zero parameters** force a uniform inter-level ratio σ > 1
  29   (`HierarchyForcing`: different ratios introduce free real parameters).
  303. **Locality** of ledger posting forces a finite-order recurrence:
  31   the composite at level k+2 depends only on levels k+1 and k.
  324. **Discreteness** forces the recurrence coefficients to be positive
  33   integers (they count sub-events in the ledger).
  345. **Minimality** (zero-parameter posture) forces coefficients (a,b) = (1,1),
  35   the unique pair minimizing max(a,b) among positive integers
  36   (`HierarchyForcing.additive_composition_is_minimal`).
  376. **Conclusion**: L_{k+2} = L_{k+1} + L_k, hence σ² = σ + 1, hence σ = φ
  38   (`HierarchyEmergence.hierarchy_emergence_forces_phi`).
  39
  40## What This Module Proves (Sorry-Free)
  41
  42- `zero_param_forces_unit_coefficients`: minimal (a,b) = (1,1)
  43- `unit_coefficients_give_fibonacci`: (1,1) coefficients → Fibonacci
  44- `minimal_recurrence_forces_golden_equation`: → σ² = σ + 1
  45- `bridge_T5_T6`: the full T5→T6 bridge in one theorem
  46- `hierarchy_dynamics_forces_phi` (structure version): same via packaging
  47
  48## Internal Derivation (New)
  49
  50The bridge hypotheses are now closed internally via:
  51- `HierarchyRealization.lean`: ties levels to carrier states
  52- `HierarchyRealizationFromScale.lean`: derives the key hierarchy fields
  53  from an earlier closed geometric scale model
  54- `PostingExtensivity.lean`: derives additive composition from the RCL
  55
  56See `bridge_T5_T6_internal` for the end-to-end theorem.
  57
  58## What Remains as RS-Native Structure
  59
  60The **locality** of ledger posting (step 3) is encoded in the
  61`RealizedHierarchy` structure's `additive_posting` field, where it
  62is motivated by the extensivity of J-cost (posting potential).
  63
  64The **self-similarity** of the inter-level ratio is encoded in
  65`ratio_self_similar`, motivated by the self-similarity of J-cost.
  66-/
  67
  68namespace IndisputableMonolith
  69namespace Foundation
  70namespace HierarchyDynamics
  71
  72open HierarchyEmergence
  73open HierarchyForcing
  74open PhiForcing
  75open PhiForcingDerived
  76
  77/-! ## Step 5: Zero-Parameter Minimality Forces (1,1)
  78
  79Among positive integer pairs (a,b), the pair (1,1) uniquely achieves
  80max(a,b) = 1. Any other pair has max(a,b) ≥ 2, introducing at least
  81one bit of structural choice that violates the zero-parameter posture. -/
  82
  83/-- Minimal integer coefficients (1,1) are forced by the zero-parameter
  84posture. This is `HierarchyForcing.additive_composition_is_minimal`
  85restated in the bridge context. -/
  86theorem zero_param_forces_unit_coefficients
  87    (a b : ℕ) (ha : 1 ≤ a) (hb : 1 ≤ b)
  88    (hmin : max a b = 1) :
  89    a = 1 ∧ b = 1 :=
  90  additive_composition_is_minimal a b ha hb hmin
  91
  92/-! ## Step 6a: Unit Coefficients → Fibonacci Relation -/
  93
  94/-- Integer recurrence with unit coefficients reduces to the
  95Fibonacci relation L₂ = L₁ + L₀. -/
  96theorem unit_coefficients_give_fibonacci
  97    (L : UniformScaleLadder)
  98    (a b : ℕ) (ha : a = 1) (hb : b = 1)
  99    (hrec : L.levels 2 = (a : ℝ) * L.levels 1 + (b : ℝ) * L.levels 0) :
 100    L.levels 2 = L.levels 1 + L.levels 0 := by
 101  have ha_real : (a : ℝ) = 1 := by exact_mod_cast ha
 102  have hb_real : (b : ℝ) = 1 := by exact_mod_cast hb
 103  have h1 : (a : ℝ) * L.levels 1 = L.levels 1 := by rw [ha_real, one_mul]
 104  have h2 : (b : ℝ) * L.levels 0 = L.levels 0 := by rw [hb_real, one_mul]
 105  linarith
 106
 107/-! ## Step 6b: Fibonacci → Golden Equation → φ -/
 108
 109/-- The golden equation σ² = σ + 1 follows from minimal integer
 110recurrence on a uniform scale ladder. -/
 111theorem minimal_recurrence_forces_golden_equation
 112    (L : UniformScaleLadder)
 113    (a b : ℕ) (ha : 1 ≤ a) (hb : 1 ≤ b)
 114    (hrec : L.levels 2 = (a : ℝ) * L.levels 1 + (b : ℝ) * L.levels 0)
 115    (hmin : max a b = 1) :
 116    L.ratio ^ 2 = L.ratio + 1 := by
 117  have ⟨ha1, hb1⟩ := zero_param_forces_unit_coefficients a b ha hb hmin
 118  have hfib := unit_coefficients_give_fibonacci L a b ha1 hb1 hrec
 119  exact locality_forces_additive_composition L hfib
 120
 121/-! ## Main Bridge Theorem -/
 122
 123/-- **T5→T6 BRIDGE THEOREM**: Minimal local binary recurrence forces φ.
 124
 125Given:
 126- A uniform scale ladder (uniform ratio σ > 1 between adjacent levels)
 127- Local binary recurrence with positive integer coefficients (a, b)
 128- Zero-parameter minimality: max(a, b) = 1
 129
 130Derive: σ = φ = (1 + √5)/2
 131
 132This closes the structural gap between T5 (J unique) and T6 (φ forced)
 133by deriving the Fibonacci recurrence from discrete ledger composition
 134axioms rather than assuming it.
 135
 136The full derivation chain:
 137  T5 (unique J) → discrete ledger → multilevel composition →
 138  uniform scaling → local binary recurrence → minimal (1,1) →
 139  Fibonacci relation → σ² = σ + 1 → σ = φ = T6 -/
 140theorem bridge_T5_T6
 141    (L : UniformScaleLadder)
 142    (a b : ℕ) (ha : 1 ≤ a) (hb : 1 ≤ b)
 143    (hrec : L.levels 2 = (a : ℝ) * L.levels 1 + (b : ℝ) * L.levels 0)
 144    (hmin : max a b = 1) :
 145    L.ratio = φ := by
 146  have ⟨ha1, hb1⟩ := zero_param_forces_unit_coefficients a b ha hb hmin
 147  have hfib := unit_coefficients_give_fibonacci L a b ha1 hb1 hrec
 148  exact hierarchy_emergence_forces_phi L hfib
 149
 150/-! ## Structure-Based Interface
 151
 152For downstream code that prefers a bundled representation. -/
 153
 154/-- A uniform scale ladder with local binary recurrence: the level
 155at position k+2 is determined by a linear combination of levels k+1
 156and k with positive integer coefficients.
 157
 158Physical motivation: in a discrete ledger, composing a recognition event
 159at level k+1 with one at level k produces an event at level k+2. The
 160coefficients count how many sub-events of each type participate. Since
 161the ledger is discrete, these counts are positive natural numbers. -/
 162structure LocalBinaryRecurrence where
 163  ladder : UniformScaleLadder
 164  coeff_a : ℕ
 165  coeff_b : ℕ
 166  coeff_a_pos : 1 ≤ coeff_a
 167  coeff_b_pos : 1 ≤ coeff_b
 168  local_recurrence :
 169    ladder.levels 2 = (coeff_a : ℝ) * ladder.levels 1 +
 170      (coeff_b : ℝ) * ladder.levels 0
 171
 172/-- The zero-parameter posture requires minimal descriptional complexity
 173for the recurrence coefficients. -/
 174def IsMinimalRecurrence (R : LocalBinaryRecurrence) : Prop :=
 175  max R.coeff_a R.coeff_b = 1
 176
 177/-- Structure version of the bridge theorem. -/
 178theorem hierarchy_dynamics_forces_phi (R : LocalBinaryRecurrence)
 179    (hMin : IsMinimalRecurrence R) :
 180    R.ladder.ratio = φ :=
 181  bridge_T5_T6 R.ladder R.coeff_a R.coeff_b
 182    R.coeff_a_pos R.coeff_b_pos R.local_recurrence hMin
 183
 184/-! ## RS-Internal Derivation (No Bridge Hypotheses)
 185
 186The following theorems close the T5→T6 gap entirely from RS-native
 187structures, replacing the external `sensitivity` and
 188`HasAdditiveComposition` hypotheses with derived results.
 189
 190The derivation chain:
 191
 192  ClosedObservableFramework
 193    → RealizedHierarchy (levels from carrier states via observable r)
 194      → ratio_self_similar ⊢ uniform ratios (Theorem 3.2 internal)
 195      → additive_posting ⊢ Fibonacci recurrence (Proposition 4.3 internal)
 196        → σ² = σ + 1
 197          → σ = φ
 198
 199The `RealizedHierarchy` structure ties levels to carrier states and
 200the dynamics T.  Its two key fields—`ratio_self_similar` and
 201`additive_posting`—are RS-native physical principles derived from
 202the self-similarity and extensivity of J-cost. -/
 203
 204open HierarchyRealization
 205open HierarchyRealizationFromScale
 206open HierarchyRealizationObstruction
 207open PostingExtensivity
 208open ClosedFramework
 209
 210/-- **Full RS-internal bridge**: From a `ClosedObservableFramework` with a
 211`RealizedHierarchy`, the scale ratio is forced to be φ.
 212
 213No external bridge hypotheses (`sensitivity`, `HasAdditiveComposition`,
 214`HasDiscreteAdditiveComposition`) appear.  The derivation uses only:
 2151. `ratio_self_similar` → uniform ratios
 2162. `additive_posting` → Fibonacci closure
 2173. `golden_equation` → φ -/
 218theorem bridge_T5_T6_internal
 219    (F : ClosedObservableFramework)
 220    (H : RealizedHierarchy F) :
 221    (realized_to_ladder F H).ratio = PhiForcing.φ :=
 222  realized_hierarchy_forces_phi F H
 223
 224/-- **Full RS-internal bridge via posting extensivity**: Same conclusion
 225but explicitly routes through the posting-extensivity layer, making the
 226RCL connection visible in the proof term. -/
 227theorem bridge_T5_T6_via_posting
 228    (F : ClosedObservableFramework)
 229    (H : RealizedHierarchy F) :
 230    (realized_to_ladder F H).ratio = PhiForcing.φ :=
 231  posting_extensivity_forces_phi
 232    (realized_to_ladder F H)
 233    (realized_additive_closure F H)
 234
 235/-- Honest earlier-primitive bridge: if the `ClosedObservableFramework`
 236orbit realizes an earlier closed geometric scale sequence, then the
 237T5→T6 bridge is fully derived with no extra hierarchy fields assumed. -/
 238theorem bridge_T5_T6_from_realized_closed_scale
 239    (F : ClosedObservableFramework)
 240    (H : RealizedClosedScaleModel F) :
 241    (realized_to_ladder F (toRealizedHierarchy F H)).ratio = PhiForcing.φ :=
 242  bridge_T5_T6_internal F (toRealizedHierarchy F H)
 243
 244/-- Obstruction theorem: `ClosedObservableFramework` alone is too weak to
 245force the two hierarchy fields used by the internal bridge. -/
 246theorem closedFramework_alone_insufficient_for_bridge :
 247    ∃ (F : ClosedObservableFramework) (base : F.S),
 248      (¬ (∀ k,
 249        F.r (F.T^[k + 2] base) / F.r (F.T^[k + 1] base) =
 250          F.r (F.T^[k + 1] base) / F.r (F.T^[k] base))) ∧
 251      (¬ (F.r (F.T^[2] base) = F.r (F.T^[1] base) + F.r base)) :=
 252  closedFramework_does_not_force_realizedHierarchy_fields
 253
 254/-! ## Open Formalization Targets
 255
 2561. **Non-minimal exclusion**: Prove that coefficient pairs (a,b) with
 257   max(a,b) ≥ 2 produce a characteristic root strictly larger than φ,
 258   making Fibonacci the minimum-growth option.
 259
 2602. **Derive locality**: Show that non-local recurrences (depending on
 261   levels k−1, k−2, ...) introduce additional free parameters that
 262   violate the zero-parameter posture.
 263-/
 264
 265end HierarchyDynamics
 266end Foundation
 267end IndisputableMonolith
 268

source mirrored from github.com/jonwashburn/shape-of-logic