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Add lean source and binary files (part 121)
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import OAI.Probability.FreeIsing.Estimates.ThresholdArithmetic
import OAI.Probability.FreeIsing.Factors.ObservableWord
import OAI.Probability.FreeIsing.Gaussian.BernoulliSpectral
import OAI.Probability.FreeIsing.Ising.WalkObstruction
namespace OAI
noncomputable section
namespace Problem367
theorem IsFactorOfIID.threshold_of_centeredAverage_norm {d : ℕ} {theta : ℝ}
(hd : 3 ≤ d) (hfactor : IsFactorOfIID d theta)
(hlo : -1 ≤ theta) (hhi : theta ≤ 1)
(hnorm : ‖TreeKoopman.centeredAverage d‖ ≤ RadialWalk.rate d) :
theta ≤ 1 / Real.sqrt ((d : ℝ) - 1) := by
obtain ⟨f, _, hcov⟩ := hfactor.exists_centered_word_observable hlo hhi
apply IsingWalk.threshold_of_operatorAverage_norm hd hhi
TreeKoopman.centeredGenerator TreeKoopman.centeredGenerator_sq f
· simpa only [TreeKoopman.centered_operatorAverage_eq] using hnorm
· exact hcov
theorem IsFactorOfIID.le_threshold {d : ℕ} {theta : ℝ}
(hd : 3 ≤ d) (hfactor : IsFactorOfIID d theta)
(hlo : -1 ≤ theta) (hhi : theta ≤ 1) :
theta ≤ 1 / Real.sqrt ((d : ℝ) - 1) := by
apply hfactor.threshold_of_centeredAverage_norm hd hlo hhi
exact TreeKoopman.centeredAverage_norm_le hd
theorem free_ising_factor_only_if_threshold (d : ℕ) (beta : ℝ)
(hd : 3 ≤ d) (hbeta : 0 ≤ beta)
(hfactor : IsFactorOfIID d (Real.tanh beta)) :
Real.tanh beta ≤ 1 / Real.sqrt ((d : ℝ) - 1) := by
apply hfactor.le_threshold hd
· exact le_trans (by norm_num) (tanh_nonneg_of_beta_nonneg hbeta)
· exact (Real.tanh_lt_one beta).le
end Problem367
end
end OAI