Download lean/OAI/LinearAlgebra/MatrixFields/Entropy/TerminalStatisticLaws.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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| import Mathlib | |
| import OAI.LinearAlgebra.MatrixFields.Histories.HistoryChildLaws | |
| namespace OAI | |
| namespace MatrixAllFields | |
| open scoped BigOperators Topology Polynomial | |
| section | |
| noncomputable section | |
| namespace MatrixMultiplication.AllFieldTerminalStatisticLaws | |
| open AllFieldParameters AllFieldHistory | |
| open scoped BigOperators | |
| attribute [local instance] Classical.propDecidable Classical.decEq | |
| abbrev AZero (K : ℕ) := | |
| {h : AfterA K // aShape h ∉ positiveSecond} × Placement | |
| abbrev BZero (K : ℕ) := | |
| {h : AfterB K // positive (bShape h) ≠ true} × Placement | |
| abbrev TerminalZero (K : ℕ) := AZero K ⊕ BZero K | |
| variable {K : ℕ} | |
| theorem aShape_mem_shapes (h : AZero K) : aShape h.1.val ∈ shapes 8 := | |
| aShape_size h.1.val | |
| theorem aShape_not_positive (h : AZero K) : positive (aShape h.1.val) ≠ true := by | |
| intro hp | |
| exact h.1.property (List.mem_filter.mpr ⟨aShape_mem_shapes h, hp⟩) | |
| theorem aShape_mem_zeroSecond (h : AZero K) : aShape h.1.val ∈ zeroSecond := by | |
| simp [zeroSecond, aShape_mem_shapes h, aShape_not_positive h] | |
| def bParent (h : BZero K) : Shape := aShape h.1.val.1.val | |
| theorem bParent_mem_positiveSecond (h : BZero K) : bParent h ∈ positiveSecond := | |
| h.1.val.1.property | |
| theorem bShape_mem_shapes (h : BZero K) : bShape h.1.val ∈ shapes 4 := | |
| bShape_size h.1.val | |
| theorem bShape_mem_below (h : BZero K) : bShape h.1.val ∈ below (bParent h) := | |
| bShape_mem h.1.val | |
| theorem bShape_max_lt_five (h : BZero K) : shapeMax (bShape h.1.val) < 5 := by | |
| have hb := child_statistic_weight_bounded (bParent h) | |
| (bParent_mem_positiveSecond h) (bShape h.1.val) (bShape_mem_below h) | |
| exact max_lt_iff.mpr ⟨hb 0, max_lt_iff.mpr ⟨hb 1, hb 2⟩⟩ | |
| def bWeight (h : BZero K) : Fin 5 := | |
| ⟨shapeMax (bShape h.1.val), bShape_max_lt_five h⟩ | |
| @[simp] theorem bWeight_val (h : BZero K) : (bWeight h).val = shapeMax (bShape h.1.val) := | |
| rfl | |
| def Slot : TerminalZero K → Type | |
| | .inl _ => PairSlot | |
| | .inr _ => Fin 6 | |
| instance (h : TerminalZero K) : Fintype (Slot h) := by | |
| cases h <;> dsimp [Slot] <;> infer_instance | |
| def history : TerminalZero K → History K | |
| | .inl h => (.afterA h.1.val, h.2) | |
| | .inr h => (.afterB h.1.val, h.2) | |
| @[simp] theorem history_inl (h : AZero K) : | |
| history (.inl h) = (.afterA h.1.val, h.2) := rfl | |
| @[simp] theorem history_inr (h : BZero K) : | |
| history (.inr h) = (.afterB h.1.val, h.2) := rfl | |
| def law : (h : TerminalZero K) → Slot h → ℚ | |
| | .inl h, s => zeroPairLaw (aShape h.1.val) s.1 s.2 | |
| | .inr h, s => statisticLaw (binaryParameter (bParent h) (bShape h.1.val)) (bWeight h) s | |
| @[simp] theorem law_inl (h : AZero K) (s : PairSlot) : | |
| law (.inl h) s = zeroPairLaw (aShape h.1.val) s.1 s.2 := rfl | |
| @[simp] theorem law_inr (h : BZero K) (s : Fin 6) : | |
| law (.inr h) s = | |
| statisticLaw (binaryParameter (bParent h) (bShape h.1.val)) (bWeight h) s := rfl | |
| theorem statisticLaw_nonnegative (t u : Shape) (k : Fin 5) (s : Fin 6) : | |
| 0 ≤ statisticLaw (binaryParameter t u) k s := by | |
| obtain ⟨hl, hh⟩ := binaryParameter_bounds t u | |
| unfold statisticLaw | |
| split_ifs <;> linarith | |
| theorem statisticLaw_total (d : ℚ) (k : Fin 5) : | |
| ∑ s : Fin 6, statisticLaw d k s = 1 := by | |
| fin_cases k <;> simp [statisticLaw, Fin.sum_univ_succ, singletonSlot] | |
| theorem law_nonneg (h : TerminalZero K) (s : Slot h) : 0 ≤ law h s := by | |
| cases h with | |
| | inl h => exact zeroPairLaw_nonnegative (aShape h.1.val) s.1 s.2 | |
| | inr h => exact statisticLaw_nonnegative (bParent h) (bShape h.1.val) (bWeight h) s | |
| theorem law_total (h : TerminalZero K) : ∑ s : Slot h, law h s = 1 := by | |
| cases h with | |
| | inl h => exact zeroPairLaw_full_normalized (aShape h.1.val) (aShape_mem_zeroSecond h) | |
| | inr h => exact statisticLaw_total _ (bWeight h) | |
| theorem history_amount_pos (allocation : Allocation) (h : TerminalZero K) : | |
| 0 < amount allocation (history h) := by | |
| cases h with | |
| | inl h => | |
| change 0 < aAmount h.1.val / 6 | |
| exact div_pos (aAmount_pos h.1.val) (by norm_num) | |
| | inr h => | |
| change 0 < bAmount h.1.val / 6 | |
| exact div_pos (bAmount_pos h.1.val) (by norm_num) | |
| end MatrixMultiplication.AllFieldTerminalStatisticLaws | |
| end | |
| end | |
| end MatrixAllFields | |
| end OAI | |