openAI-math-dataset / lean /OAI /Probability /InvariantIsing /Arrays /FullPerturbationCost.lean
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import OAI.Probability.InvariantIsing.Arrays.TensorPerturbationCost
import OAI.Probability.InvariantIsing.Spectral.SpectralDiagonalPerturbation
namespace OAI
/-! Uniform vanishing cost of both terms of the manuscript perturbation. -/
noncomputable section
open MeasureTheory ProbabilityTheory IsingPerceptron
open scoped BigOperators NNReal
namespace InvariantIsing
private lemma rotatedEnergy_mul {N : ℕ} (eig : Fin N → ℝ) (U : Rotation N) (t : ℝ) (σ : Spin N) :
rotatedEnergy (fun i => t * eig i) U σ = t * rotatedEnergy eig U σ := by
simp only [rotatedEnergy, mul_assoc, ← Finset.mul_sum]
ring
lemma abs_tensorPathPressure_sub_base_le {N m k : ℕ} (hN : 0 < N)
(eig eig' c : Fin N → ℝ) (U : Rotation N)
(I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (a : Fin k → ℝ)
(n : ℕ) (r : Fin k → ℕ) (b : ℕ → ℝ) (hb : CascadeExponents n b)
(h : ℕ → ℝ) (hh : Monotone h) (h0 : 0 ≤ h 0) (C : ℝ)
(hE : ∀ σ, |rotatedEnergy eig U σ - rotatedEnergy eig' U σ| ≤ C) :
let v := tensorPathProfile I degree n r h
|tensorEnrichedPressure eig U c I degree a n b (fun i => v (i + 1)) (v 0) -
tensorEnrichedPressure eig' U c I degree a n b (fun i => v (i + 1)) (v 0)| ≤
(N : ℝ)⁻¹ * C := by
intro v
have hA := tensorFlatLog_integrable eig U c I degree a n b v
have hB := tensorFlatLog_integrable eig' U c I degree a n b v
have hpoint (T : LabeledTree n) :
|(∫ g, tensorFlatLog eig U c I degree a n v (T, g) ∂gaussianCoordinates) -
∫ g, tensorFlatLog eig' U c I degree a n v (T, g) ∂gaussianCoordinates| ≤ C := by
let ν := labeledSpinReference n (uniformSpinPrior N : Measure (Spin N)) T
have he := countable_cylinder_log_mean_base_compare ν
(fun x => rotatedEnergy eig U x.1 + fieldEnergy c x.1)
(fun x => rotatedEnergy eig' U x.1 + fieldEnergy c x.1)
(finite_spin_base_exp_integrable ν (fun σ => rotatedEnergy eig U σ + fieldEnergy c σ))
(finite_spin_base_exp_integrable ν (fun σ => rotatedEnergy eig' U σ + fieldEnergy c σ))
(tensorLeafCoefficients U I degree a n (fun i => v i))
(tensorPathProfile_variance_cap U I degree a n r h hh h0)
(fun x => by simpa only [add_sub_add_right_eq_sub] using hE x.1)
exact he
have hi := norm_integral_le_of_norm_le_const
(μ := (labeledCascadeLaw n b : Measure (LabeledTree n)))
(f := fun T => (∫ g, tensorFlatLog eig U c I degree a n v (T, g) ∂gaussianCoordinates) -
∫ g, tensorFlatLog eig' U c I degree a n v (T, g) ∂gaussianCoordinates)
(C := C) (ae_of_all _ fun T => by simpa only [Real.norm_eq_abs] using hpoint T)
rw [tensorEnrichedPressure_eq_flat_mean hN eig U c I degree a n b v hb,
tensorEnrichedPressure_eq_flat_mean hN eig' U c I degree a n b v hb,
← mul_sub, ← integral_sub hA.integral_prod_left hB.integral_prod_left, abs_mul,
abs_of_nonneg (inv_nonneg.mpr (Nat.cast_nonneg N))]
apply mul_le_mul_of_nonneg_left _ (inv_nonneg.mpr (Nat.cast_nonneg N))
simpa only [Real.norm_eq_abs, probReal_univ, mul_one] using hi
/-- The actual diagonal and Gaussian perturbations together cost at most
`2 m e_N + 8 e_N²`, uniformly in the other deterministic parameters. -/
theorem fullPerturbationPressure_cost {N m : ℕ} (hN : 0 < N)
(eig c : Fin N → ℝ) (U : Rotation N) (I : Fin m → Finset (Fin N))
(degree : Fin N → Fin m → ℕ) (u : Fin N → ℝ) (hu : ∀ j, |u j| ≤ 2)
(z : Fin m → ℝ) (hz : ∀ a, |z a| ≤ 2) (t : ℝ)
(n : ℕ) (r : Fin N → ℕ) (b : ℕ → ℝ) (hb : CascadeExponents n b)
(h : ℕ → ℝ) (hh : Monotone h) (h0 : 0 ≤ h 0) :
let v := tensorPathProfile I degree n r h
|tensorEnrichedPressure (diagonalPerturbedEigenvalues eig I z t) U c I degree
(tensorPerturbationAmplitude N u) n b (fun i => v (i + 1)) (v 0) -
tensorEnrichedPressure (fun i => t * eig i) U c I degree 0 n b
(fun i => v (i + 1)) (v 0)| ≤
2 * m * perturbationScale N + 8 * perturbationScale N ^ 2 := by
intro v
have hg := tensorPerturbationPressure_cost hN (diagonalPerturbedEigenvalues eig I z t) c U I
degree u hu n r b hb h hh h0
have hd := abs_tensorPathPressure_sub_base_le hN (diagonalPerturbedEigenvalues eig I z t)
(fun i => t * eig i) c U I degree 0 n r b hb h hh h0
(2 * m * N * perturbationScale N) (fun σ => by
rw [rotatedEnergy_mul]
exact abs_rotatedEnergy_diagonalPerturbation_le hN eig U I z hz t σ)
have hn : (N : ℝ) ≠ 0 := Nat.cast_ne_zero.mpr hN.ne'
have he : (N : ℝ)⁻¹ * (2 * m * N * perturbationScale N) = 2 * m * perturbationScale N := by
field_simp
rw [he] at hd
exact (abs_sub_le _ _ _).trans ((add_le_add hg hd).trans_eq (by ring))
lemma fullPerturbationCost_tendsto (m : ℕ) :
Filter.Tendsto (fun N => 2 * m * perturbationScale N + 8 * perturbationScale N ^ 2)
Filter.atTop (nhds (0 : ℝ)) := by
simpa only [mul_zero, zero_pow (by norm_num : 2 ≠ 0), add_zero] using
(perturbationScale_tendsto.const_mul (2 * (m : ℝ))).add
((perturbationScale_tendsto.pow 2).const_mul 8)
end InvariantIsing
end
end OAI