openAI-math-dataset / lean /OAI /Analysis /FreeEntropy /GaussianBlockTail.lean
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import OAI.Analysis.FreeEntropy.NormalLaw
namespace OAI
universe u1
noncomputable section
open MeasureTheory ProbabilityTheory Finset Set
open scoped ENNReal
namespace FiniteEntropySeparation
variable {ι : Type u1} [Fintype ι]
theorem normalLaw_rotation (s : ℝ) (U : EuclideanSpace ℝ ι ≃ₗᵢ[ℝ] EuclideanSpace ℝ ι) :
(normalLaw s).map U = normalLaw s := by
have he : (fun x => ENNReal.ofReal (normalKernel s x)) =
(fun x => ENNReal.ofReal (normalKernel s x)) ∘ U := by
funext x
simp [normalKernel]
unfold normalLaw
conv_lhs => rw [he]
exact map_withDensity_of_measurePreserving U.measurePreserving _
(ENNReal.measurable_ofReal.comp (normalKernel_continuous_space s).measurable)
theorem normalLaw_measurePreserving (s : ℝ) (U : EuclideanSpace ℝ ι ≃ₗᵢ[ℝ] EuclideanSpace ℝ ι) :
MeasurePreserving U (normalLaw s) (normalLaw s) :=
⟨U.continuous.measurable,normalLaw_rotation s U⟩
theorem squareExp_density (x : ℝ) :
gaussianPDFReal 0 1 x * Real.exp (x^2/4) =
(Real.sqrt (2*Real.pi))⁻¹ * Real.exp (-(1/4:ℝ)*x^2) := by
simp only [gaussianPDFReal,NNReal.coe_one,mul_one,sub_zero,mul_assoc,← Real.exp_add]
congr 2
ring
theorem squareExp_integrable : Integrable (fun x : ℝ => Real.exp (x^2/4)) (gaussianReal 0 1) := by
rw [gaussian_weight_integrable one_ne_zero]
simp only [smul_eq_mul,squareExp_density]
exact (integrable_exp_neg_mul_sq (by norm_num : (0:ℝ)<1/4)).const_mul _
theorem squareExp_integral : (∫x : ℝ,Real.exp (x^2/4) ∂gaussianReal 0 1) = Real.sqrt 2 := by
rw [integral_gaussianReal_eq_integral_smul one_ne_zero]
simp only [smul_eq_mul,squareExp_density]
rw [integral_const_mul,integral_gaussian]
have hp := Real.pi_pos
have he : Real.pi / (1/4:ℝ)=4*Real.pi := by ring
rw [he,Real.sqrt_mul (by norm_num : (0:ℝ)≤2),Real.sqrt_mul (by norm_num : (0:ℝ)≤4)]
norm_num
have hs : Real.sqrt Real.pi≠0 := (Real.sqrt_pos.mpr hp).ne'
have h2 : Real.sqrt 2≠0 := (Real.sqrt_pos.mpr (by norm_num : (0:ℝ)<2)).ne'
field_simp
nlinarith [Real.sq_sqrt (by norm_num : (0:ℝ)≤2)]
theorem masked_exp_integrable (m : Finset ι) :
Integrable (fun x : ι → ℝ => Real.exp ((∑i∈m,x i^2)/4)) (productGaussian ι) := by
classical
have he : (fun x : ι → ℝ => Real.exp ((∑i∈m,x i^2)/4)) =
fun x => ∏i,if i∈m then Real.exp (x i^2/4) else 1 := by
funext x
rw [sum_div,Real.exp_sum]
simp
rw [he]
apply Integrable.fintype_prod (f := fun i (x:ℝ) => if i∈m then Real.exp (x^2/4) else 1)
intro i
by_cases hi : i∈m
· simpa [hi] using squareExp_integrable
· simp [hi]
theorem masked_exp_integral (m : Finset ι) :
(∫x : ι → ℝ,Real.exp ((∑i∈m,x i^2)/4) ∂productGaussian ι) = Real.sqrt 2^m.card := by
classical
have he : (fun x : ι → ℝ => Real.exp ((∑i∈m,x i^2)/4)) =
fun x => ∏i,if i∈m then Real.exp (x i^2/4) else 1 := by
funext x
rw [sum_div,Real.exp_sum]
simp
rw [he,productGaussian,integral_fintype_prod_eq_prod (fun i (x:ℝ) => if i∈m then Real.exp (x^2/4) else 1)]
have hh i : (∫x : ℝ,if i∈m then Real.exp (x^2/4) else 1 ∂gaussianReal 0 1)=
if i∈m then Real.sqrt 2 else 1 := by
by_cases hi : i∈m <;> simp [hi,squareExp_integral]
simp_rw [hh]
simp
theorem masked_square_tail (m : Finset ι) (u : ℝ) :
(productGaussian ι) {x | u≤∑i∈m,x i^2} ≤
ENNReal.ofReal (Real.exp (-u/4)*Real.sqrt 2^m.card) := by
have hi := (masked_exp_integrable m).const_mul (Real.exp (-u/4))
have hh := hi.measure_le_integral (Filter.Eventually.of_forall (fun x => by positivity))
(s := {x | u≤∑i∈m,x i^2}) (fun x hx => by
rw [← Real.exp_add,Real.one_le_exp_iff]
dsimp at hx
linarith)
rw [integral_const_mul,masked_exp_integral] at hh
exact hh
theorem normalLaw_mask_tail (m : Finset ι) {s : ℝ} (hs : 0<s) (u : ℝ) :
(normalLaw s) {x | u≤∑i∈m,x i^2} ≤
ENNReal.ofReal (Real.exp (-u/(4*s))*Real.sqrt 2^m.card) := by
classical
rw [normalLaw_eq_scaled hs,Measure.map_apply (by fun_prop) (isClosed_le continuous_const (by fun_prop)).measurableSet]
have he : (fun x : ι → ℝ => Real.sqrt s • WithLp.toLp 2 x) ⁻¹' {x : EuclideanSpace ℝ ι | u≤∑i∈m,x i^2} =
{x | u/s≤∑i∈m,x i^2} := by
ext x
simp only [Set.mem_preimage,Set.mem_ofPred_eq,PiLp.smul_apply,smul_eq_mul,mul_pow,Real.sq_sqrt hs.le,← mul_sum]
rw [div_le_iff₀ hs,mul_comm]
rw [he]
convert masked_square_tail m (u/s) using 1 ; congr 2 ; ring_nf
theorem gaussian_square_integral : (∫x : ℝ,x^2 ∂gaussianReal 0 1)=1 := by
simpa [pow_two] using gaussian_polynomial_stein (Polynomial.X : Polynomial ℝ)
end FiniteEntropySeparation
end
end OAI