import OAI.LinearAlgebra.MatrixMultiplication.Entropy.ComplexSeparationAsymptotics import OAI.LinearAlgebra.MatrixMultiplication.Tensor.ComplexSeparatedTensorDecomposition namespace OAI /-! Finite type counts, hierarchy separation and tensor execution bounds. -/ namespace MatrixMultiplication.Foundation instance auxiliarySeparation_modulus_neZero (K : ℕ) : NeZero (4 * Separation.gridWidth K) := ⟨Nat.mul_ne_zero (by decide) (Nat.ne_of_gt (lt_of_lt_of_le (by decide : 0 < 2) (Separation.gridWidth_ge_two K)))⟩ section AuxiliarySeparation variable {X Y Z S : Type*} [Fintype S] [DecidableEq S] theorem auxiliary_separation_mem_restrictionOrbit [Fintype X] [Fintype Y] [Fintype Z] (T : Tensor ℂ X Y Z) (lx : X → S) (ly : Y → S) (hlabels : ∀ x y z, T x y z ≠ 0 → lx x = ly y) : separatedTensor (U := Fin (Fintype.card S)) lx T ∈ Tensor.restrictionOrbit (Tensor.product T (groupTensor (Separation.AuxiliaryGroup (Separation.gridDimension (Fintype.card S)) (Separation.gridWidth (Fintype.card S))))) := by exact finite_grid_separation_mem_restrictionOrbit T lx ly (Separation.grid_population_bound (Fintype.card S)) (Separation.grid_population_bound (Fintype.card S)) hlabels theorem auxiliary_separation_rankAtMost (T : Tensor ℂ X Y Z) (lx : X → S) (ly : Y → S) {r : ℕ} (hT : Tensor.RankAtMost T r) (hlabels : ∀ x y z, T x y z ≠ 0 → lx x = ly y) : Tensor.RankAtMost (separatedTensor (U := Fin (Fintype.card S)) lx T) (r * Separation.gridGroupOrder (Fintype.card S)) := by exact finite_grid_separation_rankAtMost T lx ly (lt_of_lt_of_le (by decide : 0 < 2) (Separation.gridWidth_ge_two (Fintype.card S))) (Separation.grid_population_bound (Fintype.card S)) (Separation.grid_population_bound (Fintype.card S)) hT hlabels theorem auxiliary_separation_borderRankAtMost [Fintype X] [Fintype Y] [Fintype Z] (T : Tensor ℂ X Y Z) (lx : X → S) (ly : Y → S) {r : ℕ} (hT : Tensor.BorderRankAtMost T r) (hlabels : ∀ x y z, T x y z ≠ 0 → lx x = ly y) : Tensor.BorderRankAtMost (separatedTensor (U := Fin (Fintype.card S)) lx T) (r * Separation.gridGroupOrder (Fintype.card S)) := by exact finite_grid_separation_borderRankAtMost T lx ly (lt_of_lt_of_le (by decide : 0 < 2) (Separation.gridWidth_ge_two (Fintype.card S))) (Separation.grid_population_bound (Fintype.card S)) (Separation.grid_population_bound (Fintype.card S)) hT hlabels theorem auxiliary_separation_directSum_rankAtMost (T : Tensor ℂ X Y Z) (lx : X → S) (ly : Y → S) {r : ℕ} (hT : Tensor.RankAtMost T r) (hlabels : ∀ x y z, T x y z ≠ 0 → lx x = ly y) : Tensor.RankAtMost (Tensor.dependentDirectSum (fun s => Tensor.product (labelFiberTensor lx ly T s) (Tensor.dotPairing (Fin (Fintype.card S))))) (r * Separation.gridGroupOrder (Fintype.card S)) := by exact separatedTensor_fiber_directSum_rankAtMost T lx ly hlabels (auxiliary_separation_rankAtMost T lx ly hT hlabels) theorem auxiliary_separation_directSum_borderRankAtMost [Fintype X] [Fintype Y] [Fintype Z] (T : Tensor ℂ X Y Z) (lx : X → S) (ly : Y → S) {r : ℕ} (hT : Tensor.BorderRankAtMost T r) (hlabels : ∀ x y z, T x y z ≠ 0 → lx x = ly y) : Tensor.BorderRankAtMost (Tensor.dependentDirectSum (fun s => Tensor.product (labelFiberTensor lx ly T s) (Tensor.dotPairing (Fin (Fintype.card S))))) (r * Separation.gridGroupOrder (Fintype.card S)) := by exact separatedTensor_fiber_directSum_borderRankAtMost T lx ly hlabels (auxiliary_separation_borderRankAtMost T lx ly hT hlabels) end AuxiliarySeparation theorem auxiliary_separation_logarithmic_cost : Filter.Tendsto (fun K : ℕ => Real.log (Separation.gridGroupOrder K : ℝ) / Real.log (K : ℝ)) Filter.atTop (nhds 1) := Separation.tendsto_log_gridGroupOrder_div_log_population end MatrixMultiplication.Foundation end OAI