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IndisputableMonolith.Foundation.OptionAFalsifierRegistry

IndisputableMonolith/Foundation/OptionAFalsifierRegistry.lean · 275 lines · 35 declarations

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   1import Mathlib
   2
   3/-!
   4# Option A Falsifier Registry
   5
   6Finite registry pairing each C1-C9 cross-domain theorem with its empirical
   7test class. This does not prove the empirical claims. It keeps the falsifiers
   8attached to the Lean theorem bundle so the cross-domain work cannot drift into
   9unfalsifiable numerology.
  10
  11Lean status: 0 sorry, 0 axiom.
  12-/
  13
  14namespace IndisputableMonolith
  15namespace Foundation
  16namespace OptionAFalsifierRegistry
  17
  18/-- The implemented Option A combinations. C10 was left as commentary. -/
  19inductive CombinationID where
  20  | c1CognitiveTensor
  21  | c2PlanetStrata
  22  | c3OncologyTensor
  23  | c4QuantumMolecularDepth
  24  | c5AttentionTensor
  25  | c6EriksonReverse
  26  | c7UniversalResponse
  27  | c8MillerSpan
  28  | c9RegulatoryCeiling
  29  deriving DecidableEq, Repr, Fintype
  30
  31theorem combinationID_count : Fintype.card CombinationID = 9 := by
  32  decide
  33
  34/-- Coarse empirical test class attached to a combination. -/
  35inductive TestClass where
  36  | eegDecoder
  37  | seismicAtmosphericRatio
  38  | tcgaClinicalResponse
  39  | quantumCircuitDepth
  40  | attentionBlinkPlateaus
  41  | adniDementiaProgression
  42  | crossFieldEquilibriumResponse
  43  | workingMemorySpanReduction
  44  | encodeTcgaRegulatoryModule
  45  deriving DecidableEq, Repr, Fintype
  46
  47theorem testClass_count : Fintype.card TestClass = 9 := by
  48  decide
  49
  50/-- Status of the Lean theorem relative to the empirical claim. -/
  51inductive EmpiricalStatus where
  52  | theoremOnly
  53  | theoremPlusHypothesis
  54  | scaffoldPlusHypothesis
  55  deriving DecidableEq, Repr, Fintype
  56
  57theorem empiricalStatus_count : Fintype.card EmpiricalStatus = 3 := by
  58  decide
  59
  60/-- Dataset class expected to carry the empirical test. -/
  61inductive DatasetClass where
  62  | eegMegDecoderCorpus
  63  | seismicAtmosphericCatalog
  64  | tcgaClinicalTrials
  65  | quantumChemistryBenchmarks
  66  | attentionBlinkMeg
  67  | adniLongitudinal
  68  | crossDomainPanel
  69  | workingMemoryPerturbation
  70  | encodeTcgaRegulatory
  71  deriving DecidableEq, Repr, Fintype
  72
  73theorem datasetClass_count : Fintype.card DatasetClass = 9 := by
  74  decide
  75
  76/-- Observable predicted by the Lean structural theorem plus RS hypothesis. -/
  77inductive PredictedObservable where
  78  | tensorRank125
  79  | strataRatioPhiPower
  80  | multiplicativeTherapyResponse
  81  | fiveBitAddressBound
  82  | fortyStableFiveTransient
  83  | reverseEriksonOrder
  84  | unitResponseCoefficient
  85  | qSpaceSpanSequence
  86  | regulatoryCeiling70
  87  deriving DecidableEq, Repr, Fintype
  88
  89theorem predictedObservable_count : Fintype.card PredictedObservable = 9 := by
  90  decide
  91
  92/-- What empirical pattern would count as a failure of the associated claim. -/
  93inductive FailureMode where
  94  | singleAxisDecoderSuffices
  95  | noSmallPhiPowerRatio
  96  | additiveTherapyResponse
  97  | depthExceedsFiveBits
  98  | nonFortyPlateauSpectrum
  99  | nonReverseDementiaOrder
 100  | nonUnitSharedCoefficient
 101  | nonQSpaceSpanCollapse
 102  | moduleExceedsCeiling70
 103  deriving DecidableEq, Repr, Fintype
 104
 105theorem failureMode_count : Fintype.card FailureMode = 9 := by
 106  decide
 107
 108/-- The empirical test class for each Option A combination. -/
 109def falsifierClass : CombinationID → TestClass
 110  | .c1CognitiveTensor => .eegDecoder
 111  | .c2PlanetStrata => .seismicAtmosphericRatio
 112  | .c3OncologyTensor => .tcgaClinicalResponse
 113  | .c4QuantumMolecularDepth => .quantumCircuitDepth
 114  | .c5AttentionTensor => .attentionBlinkPlateaus
 115  | .c6EriksonReverse => .adniDementiaProgression
 116  | .c7UniversalResponse => .crossFieldEquilibriumResponse
 117  | .c8MillerSpan => .workingMemorySpanReduction
 118  | .c9RegulatoryCeiling => .encodeTcgaRegulatoryModule
 119
 120/-- Whether the implemented Lean content is purely structural or paired with an
 121empirical hypothesis. -/
 122def empiricalStatus : CombinationID → EmpiricalStatus
 123  | .c1CognitiveTensor => .theoremPlusHypothesis
 124  | .c2PlanetStrata => .theoremPlusHypothesis
 125  | .c3OncologyTensor => .theoremPlusHypothesis
 126  | .c4QuantumMolecularDepth => .theoremPlusHypothesis
 127  | .c5AttentionTensor => .theoremPlusHypothesis
 128  | .c6EriksonReverse => .scaffoldPlusHypothesis
 129  | .c7UniversalResponse => .theoremPlusHypothesis
 130  | .c8MillerSpan => .theoremPlusHypothesis
 131  | .c9RegulatoryCeiling => .theoremPlusHypothesis
 132
 133/-- Dataset class assigned to each implemented combination. -/
 134def datasetClass : CombinationID → DatasetClass
 135  | .c1CognitiveTensor => .eegMegDecoderCorpus
 136  | .c2PlanetStrata => .seismicAtmosphericCatalog
 137  | .c3OncologyTensor => .tcgaClinicalTrials
 138  | .c4QuantumMolecularDepth => .quantumChemistryBenchmarks
 139  | .c5AttentionTensor => .attentionBlinkMeg
 140  | .c6EriksonReverse => .adniLongitudinal
 141  | .c7UniversalResponse => .crossDomainPanel
 142  | .c8MillerSpan => .workingMemoryPerturbation
 143  | .c9RegulatoryCeiling => .encodeTcgaRegulatory
 144
 145/-- Predicted observable assigned to each implemented combination. -/
 146def predictedObservable : CombinationID → PredictedObservable
 147  | .c1CognitiveTensor => .tensorRank125
 148  | .c2PlanetStrata => .strataRatioPhiPower
 149  | .c3OncologyTensor => .multiplicativeTherapyResponse
 150  | .c4QuantumMolecularDepth => .fiveBitAddressBound
 151  | .c5AttentionTensor => .fortyStableFiveTransient
 152  | .c6EriksonReverse => .reverseEriksonOrder
 153  | .c7UniversalResponse => .unitResponseCoefficient
 154  | .c8MillerSpan => .qSpaceSpanSequence
 155  | .c9RegulatoryCeiling => .regulatoryCeiling70
 156
 157/-- Failure mode assigned to each implemented combination. -/
 158def failureMode : CombinationID → FailureMode
 159  | .c1CognitiveTensor => .singleAxisDecoderSuffices
 160  | .c2PlanetStrata => .noSmallPhiPowerRatio
 161  | .c3OncologyTensor => .additiveTherapyResponse
 162  | .c4QuantumMolecularDepth => .depthExceedsFiveBits
 163  | .c5AttentionTensor => .nonFortyPlateauSpectrum
 164  | .c6EriksonReverse => .nonReverseDementiaOrder
 165  | .c7UniversalResponse => .nonUnitSharedCoefficient
 166  | .c8MillerSpan => .nonQSpaceSpanCollapse
 167  | .c9RegulatoryCeiling => .moduleExceedsCeiling70
 168
 169theorem c1_falsifier :
 170    falsifierClass .c1CognitiveTensor = .eegDecoder := rfl
 171
 172theorem c2_falsifier :
 173    falsifierClass .c2PlanetStrata = .seismicAtmosphericRatio := rfl
 174
 175theorem c3_falsifier :
 176    falsifierClass .c3OncologyTensor = .tcgaClinicalResponse := rfl
 177
 178theorem c4_falsifier :
 179    falsifierClass .c4QuantumMolecularDepth = .quantumCircuitDepth := rfl
 180
 181theorem c5_falsifier :
 182    falsifierClass .c5AttentionTensor = .attentionBlinkPlateaus := rfl
 183
 184theorem c6_falsifier :
 185    falsifierClass .c6EriksonReverse = .adniDementiaProgression := rfl
 186
 187theorem c7_falsifier :
 188    falsifierClass .c7UniversalResponse = .crossFieldEquilibriumResponse := rfl
 189
 190theorem c8_falsifier :
 191    falsifierClass .c8MillerSpan = .workingMemorySpanReduction := rfl
 192
 193theorem c9_falsifier :
 194    falsifierClass .c9RegulatoryCeiling = .encodeTcgaRegulatoryModule := rfl
 195
 196theorem c3_observable :
 197    predictedObservable .c3OncologyTensor = .multiplicativeTherapyResponse := rfl
 198
 199theorem c5_failure :
 200    failureMode .c5AttentionTensor = .nonFortyPlateauSpectrum := rfl
 201
 202theorem c8_dataset :
 203    datasetClass .c8MillerSpan = .workingMemoryPerturbation := rfl
 204
 205theorem falsifierClass_injective : Function.Injective falsifierClass := by
 206  intro a b h
 207  cases a <;> cases b <;> simp [falsifierClass] at h ⊢
 208
 209theorem datasetClass_injective : Function.Injective datasetClass := by
 210  intro a b h
 211  cases a <;> cases b <;> simp [datasetClass] at h ⊢
 212
 213theorem predictedObservable_injective : Function.Injective predictedObservable := by
 214  intro a b h
 215  cases a <;> cases b <;> simp [predictedObservable] at h ⊢
 216
 217theorem failureMode_injective : Function.Injective failureMode := by
 218  intro a b h
 219  cases a <;> cases b <;> simp [failureMode] at h ⊢
 220
 221structure FalsifierRegistryCert where
 222  nine_combinations : Fintype.card CombinationID = 9
 223  nine_test_classes : Fintype.card TestClass = 9
 224  three_statuses : Fintype.card EmpiricalStatus = 3
 225  nine_dataset_classes : Fintype.card DatasetClass = 9
 226  nine_observables : Fintype.card PredictedObservable = 9
 227  nine_failure_modes : Fintype.card FailureMode = 9
 228  c1_test : falsifierClass .c1CognitiveTensor = .eegDecoder
 229  c2_test : falsifierClass .c2PlanetStrata = .seismicAtmosphericRatio
 230  c3_test : falsifierClass .c3OncologyTensor = .tcgaClinicalResponse
 231  c4_test : falsifierClass .c4QuantumMolecularDepth = .quantumCircuitDepth
 232  c5_test : falsifierClass .c5AttentionTensor = .attentionBlinkPlateaus
 233  c6_test : falsifierClass .c6EriksonReverse = .adniDementiaProgression
 234  c7_test : falsifierClass .c7UniversalResponse = .crossFieldEquilibriumResponse
 235  c8_test : falsifierClass .c8MillerSpan = .workingMemorySpanReduction
 236  c9_test : falsifierClass .c9RegulatoryCeiling = .encodeTcgaRegulatoryModule
 237  c3_predicted_observable :
 238    predictedObservable .c3OncologyTensor = .multiplicativeTherapyResponse
 239  c5_failure_mode :
 240    failureMode .c5AttentionTensor = .nonFortyPlateauSpectrum
 241  c8_dataset_class :
 242    datasetClass .c8MillerSpan = .workingMemoryPerturbation
 243  test_class_injective : Function.Injective falsifierClass
 244  dataset_class_injective : Function.Injective datasetClass
 245  observable_injective : Function.Injective predictedObservable
 246  failure_mode_injective : Function.Injective failureMode
 247
 248def falsifierRegistryCert : FalsifierRegistryCert where
 249  nine_combinations := combinationID_count
 250  nine_test_classes := testClass_count
 251  three_statuses := empiricalStatus_count
 252  nine_dataset_classes := datasetClass_count
 253  nine_observables := predictedObservable_count
 254  nine_failure_modes := failureMode_count
 255  c1_test := c1_falsifier
 256  c2_test := c2_falsifier
 257  c3_test := c3_falsifier
 258  c4_test := c4_falsifier
 259  c5_test := c5_falsifier
 260  c6_test := c6_falsifier
 261  c7_test := c7_falsifier
 262  c8_test := c8_falsifier
 263  c9_test := c9_falsifier
 264  c3_predicted_observable := c3_observable
 265  c5_failure_mode := c5_failure
 266  c8_dataset_class := c8_dataset
 267  test_class_injective := falsifierClass_injective
 268  dataset_class_injective := datasetClass_injective
 269  observable_injective := predictedObservable_injective
 270  failure_mode_injective := failureMode_injective
 271
 272end OptionAFalsifierRegistry
 273end Foundation
 274end IndisputableMonolith
 275

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