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Add lean source and binary files (part 126)
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import Mathlib
import OAI.Probability.GaussianRegression.Main
import OAI.Probability.MemoryPrecision.CubeGeometry
namespace OAI
open MeasureTheory ProbabilityTheory Set Filter EuclideanGeometry
open scoped ENNReal NNReal RealInnerProductSpace Topology Pointwise
noncomputable section
universe u v
open MeasureTheory ProbabilityTheory Set Filter
open scoped ENNReal NNReal RealInnerProductSpace Topology Pointwise
namespace MemoryPrecision
open NoiselessRegression
lemma coordinate_ball_root_volume (n : ℕ) :
volume (coordinateBall n (Real.sqrt n)) ≤ ENNReal.ofReal ((12:ℝ)^n) := by
have hpoint (x : Fin n → ℝ) :
(coordinateBall n (Real.sqrt n)).indicator (fun _ => (1:ℝ≥0∞)) x ≤
ENNReal.ofReal (Real.exp n) * ∏ i, ENNReal.ofReal (Real.exp (-(x i)^2/4)) := by
by_cases hx : x ∈ coordinateBall n (Real.sqrt n)
· rw [Set.indicator_of_mem hx, ← ENNReal.ofReal_prod_of_nonneg (fun i _ => Real.exp_nonneg _),
← ENNReal.ofReal_mul (Real.exp_nonneg _), ← Real.exp_sum, ← Real.exp_add]
have hs : (∑ i, (x i)^2) ≤ n := by
have hp := pow_le_pow_left₀ (norm_nonneg _) hx 2
change coordinateNorm x ^ 2 ≤ (Real.sqrt (n:ℝ)) ^ 2 at hp
rw [coordinateNorm_sq, Real.sq_sqrt (by positivity)] at hp
exact hp
have he : 1 ≤ Real.exp ((n:ℝ) + ∑ i, -(x i)^2/4) := by
apply Real.one_le_exp_iff.mpr
rw [← Finset.sum_div, Finset.sum_neg_distrib]
have hn : (0:ℝ) ≤ n := Nat.cast_nonneg n
linarith
exact_mod_cast (ENNReal.ofReal_le_ofReal he)
· rw [Set.indicator_of_notMem hx]
exact zero_le
calc
volume (coordinateBall n (Real.sqrt n)) =
∫⁻ x : Fin n → ℝ, (coordinateBall n (Real.sqrt n)).indicator (fun _ => (1:ℝ≥0∞)) x := by
rw [lintegral_indicator_const (measurableSet_coordinateBall _ _), one_mul]
_ ≤ ∫⁻ x : Fin n → ℝ, ENNReal.ofReal (Real.exp n) *
∏ i, ENNReal.ofReal (Real.exp (-(x i)^2/4)) := lintegral_mono hpoint
_ = ENNReal.ofReal (Real.exp n) *
(∫⁻ z : ℝ, ENNReal.ofReal (Real.exp (-(z^2)/4)))^n := by
rw [lintegral_const_mul _ (by fun_prop), volume_pi,
lintegral_fin_prod volume n (fun _ => fun z : ℝ => ENNReal.ofReal (Real.exp (-(z^2)/4))) (fun _ => by fun_prop)]
simp
_ ≤ ENNReal.ofReal (Real.exp n) * (4:ℝ≥0∞)^n := by
gcongr
exact lintegral_quarterGaussian_le
_ ≤ ENNReal.ofReal ((12:ℝ)^n) := by
have he : Real.exp (n:ℝ) ≤ (3:ℝ)^n := by
rw [← mul_one (n:ℝ), Real.exp_nat_mul]
exact pow_le_pow_left₀ (Real.exp_nonneg _) Real.exp_one_lt_three.le n
calc
_ ≤ ENNReal.ofReal ((3:ℝ)^n) * (4:ℝ≥0∞)^n := mul_le_mul' (ENNReal.ofReal_le_ofReal he) le_rfl
_ = _ := by rw [ENNReal.ofReal_pow (by norm_num), ← mul_pow]; norm_num
lemma cube_scaled_ball_volume (n : ℕ) (z : Space n) {r : ℝ} (hr : 0 < r) :
volume (Metric.closedBall z (Real.sqrt n*r)) ≤ ENNReal.ofReal ((12:ℝ)^n*r^n) := by
rw [Measure.addHaar_closedBall_center]
have he : (WithLp.toLp 2 : (Fin n → ℝ) → Space n) ⁻¹' Metric.closedBall 0 (Real.sqrt n*r) =
coordinateBall n (r*Real.sqrt n) := by
ext x
simp [Metric.mem_closedBall, dist_zero_right, coordinateBall, coordinateNorm, mul_comm]
rw [← (PiLp.volume_preserving_toLp (Fin n)).measure_preimage (show NullMeasurableSet (Metric.closedBall (0:Space n) (Real.sqrt n*r)) volume from Metric.isClosed_closedBall.measurableSet.nullMeasurableSet), he,
volume_coordinateBall_smul n r (Real.sqrt n) hr]
calc
_ ≤ ENNReal.ofReal (r^n) * ENNReal.ofReal ((12:ℝ)^n) :=
mul_le_mul' le_rfl (coordinate_ball_root_volume n)
_ = _ := by rw [← ENNReal.ofReal_mul (by positivity)]; congr 1; ring
lemma cubeBall_volume (d : ℕ) (z : Space (d/2)) {r : ℝ} (hr : 0 < r) :
CubeLaw d (CubeBall d z r) ≤ ENNReal.ofReal ((12:ℝ)^(d/2)*r^(d/2)) := by
rw [CubeLaw, comap_subtype_coe_apply (cubeSet_measurable _)]
apply (measure_mono (show Subtype.val '' CubeBall d z r ⊆ Metric.closedBall z (Real.sqrt (d/2:ℕ)*r) from ?_)).trans
(cube_scaled_ball_volume (d/2) z hr)
rintro _ ⟨u,hu,rfl⟩
exact hu
lemma cube_cap_local {d : ℕ} (hd : 2 ≤ d) (y : Space d) {ε : ℝ} (hε : 0 < ε) :
CubeLocal (fun u => capWeight y ε (CubeEmbedding d u))
((12:ℝ)^(d/2)*ε^((d/2:ℕ)/4:ℝ)) := by
intro z r hr
let A : Set (Cube d) := CubeEmbedding d ⁻¹' Metric.closedBall y ε
have hA : MeasurableSet A := Metric.isClosed_closedBall.measurableSet.preimage (cubeEmbedding_measurable d)
have hint : (∫⁻ u in CubeBall d z r, capWeight y ε (CubeEmbedding d u) ∂CubeLaw d) =
CubeLaw d (A ∩ CubeBall d z r) := by
change (∫⁻ u in CubeBall d z r, A.indicator (fun _ => (1:ℝ≥0∞)) u ∂CubeLaw d) = _
rw [lintegral_indicator_const hA, one_mul, Measure.restrict_apply hA]
rw [hint]
have hεball : A ⊆ CubeBall d (Real.sqrt (d/2:ℕ) • cubeProject d y) ε := by
intro u hu
exact (cubeProject_parameter_dist hd u y).trans
(mul_le_mul_of_nonneg_left hu (Real.sqrt_nonneg _))
have hs : (0:ℝ) ≤ (d/2:ℕ)/4 := by positivity
have ht : (0:ℝ) ≤ 3*(d/2:ℕ)/4 := by positivity
have he (t : ℝ) (ht : 0 < t) : t^(d/2) = t^((d/2:ℕ)/4:ℝ)*t^(3*(d/2:ℕ)/4:ℝ) := by
rw [← Real.rpow_add ht, show ((d/2:ℕ)/4:ℝ)+(3*(d/2:ℕ)/4:ℝ) = (d/2:ℕ) by ring, Real.rpow_natCast]
by_cases hh : r ≤ ε
· apply ((measure_mono Set.inter_subset_right).trans (cubeBall_volume d z hr)).trans
apply ENNReal.ofReal_le_ofReal
rw [he r hr, ← mul_assoc]
gcongr
· apply ((measure_mono (Set.inter_subset_left.trans hεball)).trans
(cubeBall_volume d (Real.sqrt (d/2:ℕ) • cubeProject d y) hε)).trans
apply ENNReal.ofReal_le_ofReal
rw [he ε hε, ← mul_assoc]
gcongr
exact le_of_not_ge hh
lemma cubeBall_univ (d : ℕ) : CubeBall d 0 1 = Set.univ := by
ext u
simp only [Set.mem_univ, iff_true]
change dist u.val 0 ≤ Real.sqrt (d/2:ℕ)*1
rw [dist_zero_right, mul_one]
apply nonneg_le_nonneg_of_sq_le_sq (Real.sqrt_nonneg _)
simp only [← pow_two]
rw [Real.sq_sqrt (by positivity), EuclideanSpace.norm_sq_eq]
calc
_ ≤ ∑ _i : Fin (d/2), (1:ℝ) := by
apply Finset.sum_le_sum
intro i _
have h := u.property i
have hab := abs_le.mp h
simp only [Real.norm_eq_abs, sq_abs]
nlinarith
_ = _ := by simp
lemma cube_mass_bound {d : ℕ} {f : Cube d → ℝ≥0∞} {L : ℝ} (h : CubeLocal f L) :
(∫⁻ u, f u ∂CubeLaw d) ≤ ENNReal.ofReal L := by
simpa [cubeBall_univ] using h 0 1 zero_lt_one
end MemoryPrecision
end
end OAI