import OAI.LinearAlgebra.MatrixMultiplication.Numerical.ComplexRationalLogCertificate namespace OAI /-! Fixed rational distributions and their entropy and capacity formulas. -/ namespace MatrixMultiplication.AllFieldParameters open scoped BigOperators abbrev Shape := Fin 3 → ℕ def shape (a b c : ℕ) : Shape := ![a, b, c] def shapes (n : ℕ) : List Shape := (List.range (n + 1)).flatMap fun a => (List.range (n + 1 - a)).map fun b => shape a b (n - a - b) def positive (s : Shape) : Bool := s 0 > 0 && s 1 > 0 && s 2 > 0 def sorted (s : Shape) : Bool := s 0 ≤ s 1 && s 1 ≤ s 2 def sortedInitial : List Shape := (shapes 16).filter sorted def positiveInitial : List Shape := sortedInitial.filter positive def positiveSecond : List Shape := (shapes 8).filter positive def zeroSecond : List Shape := (shapes 8).filter (fun s => !positive s) def shapeMax (s : Shape) : ℕ := max (s 0) (max (s 1) (s 2)) def below (s : Shape) : List Shape := (shapes ((s 0 + s 1 + s 2) / 2)).filter (fun u => u 0 ≤ s 0 && u 1 ≤ s 1 && u 2 ≤ s 2) def complement (s u : Shape) : Shape := fun i => s i - u i def tablea : List ℤ := [-55839, -36137, -17449, -1780, 11561, 22640, 31188, 36731, 38593, 35898, 29051, 18387, 3823, -14569, -39776, -38598, -23708] def tableP : List ℤ := [-3070, 295, -20546, -1514, -38211, -9654, -7530, -2765, -55230, -16412, -14246, -5912, -78106, -32809, -7009, -26324, -13519, -3592, -96458, -47439, -16217, -46871, -25058, -9643, -95643, -62269, -28725, -8576, -2535, -2550, -34711, -7207, -3270, -6376, -53221, -15352, -3477, -14828, -4187, -74924, -32439, -7231, -3578, -24599, -8700, -92989, -46655, -16926, -3517, -42976, -20283, -5132, -107049, -63201, -31013, -9730, -3705, -67421, -35684, -13735, -68829, -36752, -13993, -7658, -7586, -76746, -33496, -7329, -7447, -17336, -4721, -96770, -49297, -17874, -7143, -30044, -10107, -116558, -68325, -33467, -10424, -7476, -51341, -24711, -5530, -76548, -41988, -15608, -17266, -4357, -17106, -4343, -120770, -70820, -34294, -10580, -16819, -4315, -32943, -9992, -83616, -44202, -16154, -17098, -4371, -56609, -25990, -5564, -56356, -25900, -5561, -33052, -9918, -32951, -9906, -57255, -26128, -5560] def tablep : List ℤ := [-39594, -5561, -55254, -15178, -62331, -19672, -54917, -18539, -16455, -32184, -5716, -11688, -5527, -53009, -6669, -6669, -64938, -20286, -6616, -26336, -26429, -6696, -60888, -19760, -6690, -5724, -32216, -15829, -58477, -18987, -26339, -6619, -26393, -26340, -26359, -6620, -16239, -55176, -18587, -55107, -18571, -16272, -60868, -19755, -6696, -6692, -55133, -18580, -16247, -32128, -5727, -32138, -5725, -122] def tabled : List ℤ := [63, 97655, 0, 42132, 92966, 1204, 42148, 95604, 41743, 3057, 109933, 42092, 3747, 41991, 1, 100622, 42166, 103562, 9039, 42157, 103577, 42165, 63582, 110082, 4584, 42175, 104091, 38838, 102383, 104793, 42126, 11814, 63338, 42165, 104864, 3587, 42166, 110086, 2207, 94768, 42166, 104185, 4735, 38889, 110065, 42166, 102372, 104314, 38956, 4876, 102395, 42166, 110068, 2953, 42166, 96000, 41863, 95723, 3031, 63321, 42040, 42174, 104662, 11860, 104902, 42189, 2967, 96042, 42047, 109872, 3986, 42200, 3834, 110106, 60257] def tablez : List ℤ := [-11037, -36170, -4779, 23107, -12831, 29263, 45052, 22289, -6216, 23895, -14326, -40670, -9623, -34674, -12708, -36610, -2174, 21564, -5587, 22521, -9766, 28961, 43809, 22299, -12216, 28778, 44147, 22176, -7811, 21870, -6053, 23786, -166, 94, -52, 17] theorem table_lengths : [tablea.length, tableP.length, tablep.length, tabled.length, tablez.length] = [17, 118, 54, 75, 36] := by decide +kernel theorem parent_counts : [sortedInitial.length, positiveInitial.length, positiveSecond.length, zeroSecond.length] = [30, 21, 21, 24] := by decide +kernel def statisticWeight : Fin 6 → ℕ := ![0, 1, 2, 2, 3, 4] def multiplicity : Fin 6 → ℕ := ![1, 10, 25, 2, 10, 1] def kappa : Fin 6 → Fin 6 := ![5, 4, 2, 3, 1, 0] theorem kappa_involution (i : Fin 6) : kappa (kappa i) = i := by revert i decide +kernel theorem multiplicity_kappa (i : Fin 6) : multiplicity (kappa i) = multiplicity i := by revert i decide +kernel theorem statisticWeight_kappa (i : Fin 6) : statisticWeight (kappa i) = 4 - statisticWeight i := by revert i decide +kernel def weight (n : ℤ) : ℚ := (∑ j ∈ Finset.range 17, ((n : ℚ) / 640000) ^ j / Nat.factorial j) ^ 64 theorem weight_nonnegative (n : ℤ) : 0 ≤ weight n := by unfold weight positivity abbrev SplitKey := Shape × Fin 3 × ℕ def splitKeys (parents : List Shape) : List SplitKey := parents.flatMap fun s => ([0, 1, 2] : List (Fin 3)).flatMap fun i => (List.range (s i / 2)).filterMap fun j => if s i - (s 0 + s 1 + s 2) / 2 ≤ j then some (s, i, j) else none def assigned {α : Type} [BEq α] (keys : List α) (data : List ℤ) (key : α) : ℤ := (((keys.zip data).find? (fun e => e.1 == key)).map Prod.snd).getD 0 def splitSignature (parents : List Shape) (data : List ℤ) (s u : Shape) : Fin 3 → ℤ := fun i => assigned (splitKeys parents) data (s, i, min (u i) (s i - u i)) def stageASignature := splitSignature positiveInitial tableP def stageBSignature := splitSignature positiveSecond tablep def splitWeight (parents : List Shape) (data : List ℤ) (s u : Shape) : ℚ := ∏ i : Fin 3, weight (splitSignature parents data s u i) def splitLaw (parents : List Shape) (data : List ℤ) (s u : Shape) : ℚ := if u ∈ below s then splitWeight parents data s u / ((below s).map (splitWeight parents data s)).sum else 0 def stageALaw := splitLaw positiveInitial tableP def stageBLaw := splitLaw positiveSecond tablep theorem split_consumption : [(splitKeys positiveInitial).length, (splitKeys positiveSecond).length] = [118, 54] := by decide +kernel theorem splitSignature_complement (parents : List Shape) (data : List ℤ) (s u : Shape) (h : ∀ i, u i ≤ s i) : splitSignature parents data s (complement s u) = splitSignature parents data s u := by funext i simp only [splitSignature, complement, Nat.sub_sub_self (h i), min_comm] theorem splitWeight_complement (parents : List Shape) (data : List ℤ) (s u : Shape) (h : ∀ i, u i ≤ s i) : splitWeight parents data s (complement s u) = splitWeight parents data s u := by simp only [splitWeight, splitSignature_complement parents data s u h] theorem splitLaw_complement (parents : List Shape) (data : List ℤ) (s u : Shape) (h : ∀ i, u i ≤ s i) (hu : u ∈ below s) (hc : complement s u ∈ below s) : splitLaw parents data s (complement s u) = splitLaw parents data s u := by simp only [splitLaw, hu, hc, ite_true, splitWeight_complement parents data s u h] theorem splitLaw_outside_support (parents : List Shape) (data : List ℤ) (s u : Shape) (hu : u ∉ below s) : splitLaw parents data s u = 0 := by simp only [splitLaw, hu, ite_false] def binaryKeys : List (Shape × Shape) := positiveSecond.flatMap fun t => ((below t).filter (fun u => shapeMax u == 2)).map fun u => (t, u) def binaryInteger (t u : Shape) : ℤ := assigned binaryKeys tabled (t, u) def binaryParameter (t u : Shape) : ℚ := (binaryInteger t u : ℚ) / 1000000 theorem binary_consumption : binaryKeys.length = 75 := by decide +kernel theorem binary_table_range : tabled.all (fun n => 0 ≤ n && n ≤ 110106) = true := by decide +kernel theorem complementary_binary_parameters_are_distinct : binaryInteger (shape 1 3 4) (shape 0 2 2) = 92966 ∧ binaryInteger (shape 1 3 4) (shape 1 1 2) = 1204 := by decide +kernel theorem unreachable_parent_retained : shape 6 1 1 ∈ positiveSecond := by decide +kernel abbrev PairSlot := Fin 6 × Fin 6 def unorderedPairs (t : Shape) : List PairSlot := (List.finRange 6).flatMap fun i => (List.finRange 6).filterMap fun j => if i ≤ j ∧ statisticWeight i + statisticWeight j = shapeMax t then some (i, j) else none def pairKeys : List (Shape × PairSlot) := zeroSecond.flatMap fun t => ((unorderedPairs t).dropLast).map fun ij => (t, ij) def orderedPairInteger (t : Shape) (i j : Fin 6) : ℤ := assigned pairKeys tablez (t, min i j, max i j) def orderedPairs (t : Shape) : List PairSlot := (List.finRange 6).flatMap fun i => (List.finRange 6).filterMap fun j => if statisticWeight i + statisticWeight j = shapeMax t then some (i, j) else none def zeroPairLaw (t : Shape) (i j : Fin 6) : ℚ := if statisticWeight i + statisticWeight j = shapeMax t then weight (orderedPairInteger t i j) / ((orderedPairs t).map (fun ij => weight (orderedPairInteger t ij.1 ij.2))).sum else 0 theorem pair_consumption : pairKeys.length = 36 := by decide +kernel theorem orderedPairInteger_swap (t : Shape) (i j : Fin 6) : orderedPairInteger t i j = orderedPairInteger t j i := by simp only [orderedPairInteger, min_comm, max_comm] theorem zeroPairLaw_swap (t : Shape) (i j : Fin 6) : zeroPairLaw t i j = zeroPairLaw t j i := by simp only [zeroPairLaw, orderedPairInteger_swap t i j, add_comm] theorem zeroPairLaw_outside_support (t : Shape) (i j : Fin 6) (h : statisticWeight i + statisticWeight j ≠ shapeMax t) : zeroPairLaw t i j = 0 := by simp only [zeroPairLaw, h, ite_false] end MatrixMultiplication.AllFieldParameters end OAI