import Mathlib.Algebra.MvPolynomial.Degrees import Mathlib.Algebra.BigOperators.Field import Mathlib.Data.Fintype.BigOperators import Mathlib.Analysis.Real.Sqrt import Mathlib.Tactic.NormNum namespace OAI /-! # Polynomial thresholds and average sensitivity The Boolean cube encodes the sign cube `{−1,1}^n`: `false` represents `−1` and `true` represents `1`. The public statement quantifies directly over real multilinear polynomials and uses uniform counting probability, the convention `sign(0) = 1`, and the exact constant `8`. `GotsmanLinialStatement` is a proposition definition, not a proof of the bound. -/ open scoped BigOperators namespace LeanBlast.GotsmanLinial /-- The sign cube `{−1,1}^n`, with Boolean coordinates encoding the signs. -/ abbrev Cube (n : ℕ) := Fin n → Bool /-- Interpret a Boolean cube coordinate as the corresponding real sign. -/ def cubeCoord {n : ℕ} (x : Cube n) (i : Fin n) : ℝ := if x i then 1 else -1 /-- Reverse one coordinate of a cube vertex. -/ def flip {n : ℕ} (i : Fin n) (x : Cube n) : Cube n := Function.update x i (!(x i)) /-- The threshold convention assigns `1` at zero. -/ noncomputable def thresholdSign (t : ℝ) : ℝ := if 0 ≤ t then 1 else -1 /-- Vertices at which reversing coordinate `i` changes the function. -/ noncomputable def sensitiveVertices {n : ℕ} (f : Cube n → ℝ) (i : Fin n) : Finset (Cube n) := by classical exact Finset.univ.filter fun x => f x ≠ f (flip i x) /-- Number of ordered sensitive edges, indexed by their initial vertex and direction. -/ noncomputable def sensitiveEdgeCount {n : ℕ} (f : Cube n → ℝ) : ℕ := ∑ i : Fin n, (sensitiveVertices f i).card /-- Sum of the uniform probabilities that a coordinate flip changes `f`. -/ noncomputable def averageSensitivity {n : ℕ} (f : Cube n → ℝ) : ℝ := ∑ i : Fin n, ((sensitiveVertices f i).card : ℝ) / (2 : ℝ) ^ n /-- Every exponent in every supported monomial is at most one. -/ def IsMultilinear {n : ℕ} (p : MvPolynomial (Fin n) ℝ) : Prop := ∀ m ∈ p.support, ∀ i : Fin n, m i ≤ 1 /-- Evaluate a real polynomial at the signs represented by a cube vertex. -/ noncomputable def polynomialValue {n : ℕ} (p : MvPolynomial (Fin n) ℝ) (x : Cube n) : ℝ := MvPolynomial.eval (cubeCoord x) p /-- The polynomial threshold function with the nonnegative-at-zero convention. -/ noncomputable def polynomialThreshold {n : ℕ} (p : MvPolynomial (Fin n) ℝ) : Cube n → ℝ := fun x => thresholdSign (polynomialValue p x) /-- The average-sensitivity bound for positive dimension and degree at most the dimension. -/ def GotsmanLinialStatement : Prop := ∀ (n d : ℕ), 1 ≤ n → 1 ≤ d → d ≤ n → ∀ p : MvPolynomial (Fin n) ℝ, IsMultilinear p → p.totalDegree ≤ d → averageSensitivity (polynomialThreshold p) ≤ 8 * (d : ℝ) * Real.sqrt (n : ℝ) end LeanBlast.GotsmanLinial end OAI