OAI/Probability/InvariantIsing/Arrays/NSpinConcentration.lean
4 declarations, 0 contain sorry, 0 declared as axioms
Applying Haar concentration to the actual Gaussian cascade pressure.
- lemma
OAI.InvariantIsing.measurable_rotatedFieldTerminal_jointline 14 - lemma
OAI.InvariantIsing.measurable_rotatedCascadeValue_jointline 29 - lemma
OAI.InvariantIsing.measurable_rotatedEnrichedPressureline 42 - theorem
OAI.InvariantIsing.haar_enrichedPressure_median_tailline 50Source documentation
Uniform Haar tails for the finite enriched Ising pressure, conditional only on the precise published concentration input.
theorem haar_enrichedPressure_median_tail (hpub : HaarConcentrationInput) : ∃ C c₀ : ℝ, 0 < C ∧ 0 < c₀ ∧ ∀ N : ℕ, 3 ≤ N → ∀ μ : Measure (SpecialOrthogonal N), IsProbabilityMeasure μ → μ.IsMulLeftInvariant → ∀ n : ℕ, ∀ b : ℕ → ℝ, ∀ v : ℕ → ℝ≥0, ∀ root : ℝ≥0, IsingPerceptron.CascadeExponents n b → ∀ eig c : Fin N → ℝ, ∀ K : ℝ, 0 < K → (∀ i, |eig i| ≤ K) → ∃ m : ℝ, (1 / 2 : ℝ) ≤ μ.real {U | rotatedEnrichedPressure n b v root eig (specialRotation U) c ≤ m} ∧ (1 / 2 : ℝ) ≤ μ.real {U | m ≤ rotatedEnrichedPressure n b v root eig (specialRotation U) c} ∧ ∀ r : ℝ, 0 < r → …Mentions: OAI.InvariantIsing.HaarConcentrationInput, OAI.InvariantIsing.SpecialOrthogonal, OAI.IsingPerceptron.CascadeExponents, OAI.InvariantIsing.rotatedEnrichedPressure, OAI.InvariantIsing.specialRotation