roseking's picture
Add lean source and binary files (part 61)
ea76aac verified
Raw History Blame Contribute Delete
40.7 kB
import Mathlib
import OAI.Computability.MaxCut.Games.Identities
namespace OAI
noncomputable section
namespace OptimalMaxCut.GaussianBellman
open scoped Real Topology NNReal ContDiff
open Set Filter MeasureTheory
open ProbabilityTheory
noncomputable def density (x : ℝ) : ℝ := gaussianPDFReal 0 1 x
noncomputable def cdf (x : ℝ) : ℝ := (1 / 2 : ℝ) + ∫ t in (0 : ℝ)..x, density t
theorem density_pos (x : ℝ) : 0 < density x := gaussianPDFReal_pos 0 1 x (by norm_num)
theorem density_nonneg (x : ℝ) : 0 ≤ density x := (density_pos x).le
theorem density_continuous : Continuous density := by
unfold density gaussianPDFReal
fun_prop
theorem density_integrable : Integrable density := integrable_gaussianPDFReal 0 1
theorem density_neg (x : ℝ) : density (-x) = density x := by
simp [density, gaussianPDFReal]
theorem density_deriv (x : ℝ) : HasDerivAt density (-x * density x) x := by
unfold density gaussianPDFReal
convert (HasDerivAt.const_mul (√(2 * Real.pi * (1 : ℝ≥0) : ℝ))⁻¹
(((hasDerivAt_id x).pow 2).neg.div_const (2 * (1 : ℝ≥0))).exp) using 1 <;>
norm_num
all_goals first | rfl | ring
theorem cdf_deriv (x : ℝ) : HasDerivAt cdf (density x) x := by
have h := intervalIntegral.integral_hasDerivAt_right
(density_continuous.intervalIntegrable 0 x)
density_continuous.stronglyMeasurable.stronglyMeasurableAtFilter
density_continuous.continuousAt
convert h.const_add (1 / 2 : ℝ) using 1
rfl
theorem cdf_continuous : Continuous cdf := continuous_iff_continuousAt.mpr
(fun x => (cdf_deriv x).continuousAt)
theorem cdf_strictMono : StrictMono cdf := by
apply strictMono_of_deriv_pos
intro x
rw [(cdf_deriv x).deriv]
exact density_pos x
@[simp] theorem cdf_zero : cdf 0 = 1 / 2 := by simp [cdf]
theorem integral_density : ∫ x, density x = 1 :=
integral_gaussianPDFReal_eq_one 0 (by norm_num : (1 : ℝ≥0) ≠ 0)
theorem half_integral : ∫ x in Iic (0 : ℝ), density x = 1 / 2 := by
have he : (∫ x in Iic (0 : ℝ), density x) = ∫ x in Ioi (0 : ℝ), density x := by
simpa only [density_neg, neg_zero] using integral_comp_neg_Iic 0 density
have h := intervalIntegral.integral_Iic_add_Ioi (b := 0)
density_integrable.integrableOn density_integrable.integrableOn
rw [integral_density, ← he] at h
linarith
theorem cdf_eq_integral (x : ℝ) : cdf x = ∫ t in Iic x, density t := by
have h := intervalIntegral.integral_Iic_sub_Iic (a := 0) (b := x)
density_integrable.integrableOn density_integrable.integrableOn
rw [half_integral] at h
unfold cdf
linarith
theorem cdf_mem_Ioo (x : ℝ) : cdf x ∈ Ioo (0 : ℝ) 1 := by
have h0 (y : ℝ) : 0 ≤ cdf y := by
rw [cdf_eq_integral]
exact integral_nonneg density_nonneg
have h1 (y : ℝ) : cdf y ≤ 1 := by
rw [cdf_eq_integral]
have h := intervalIntegral.integral_Iic_add_Ioi (b := y)
density_integrable.integrableOn density_integrable.integrableOn
rw [integral_density] at h
have hn : 0 ≤ ∫ t in Ioi y, density t := integral_nonneg density_nonneg
linarith
exact ⟨(h0 (x - 1)).trans_lt (cdf_strictMono (by linarith)),
(cdf_strictMono (show x < x + 1 by linarith)).trans_le (h1 (x + 1))⟩
theorem cdf_neg (x : ℝ) : cdf (-x) = 1 - cdf x := by
have h := intervalIntegral.integral_comp_neg (a := 0) (b := x) density
simp only [density_neg, neg_zero] at h
have h' : (∫ t in (0 : ℝ)..-x, density t) = -(∫ t in (0 : ℝ)..x, density t) := by
rw [intervalIntegral.integral_symm, ← h]
dsimp [cdf]
rw [h']
ring
theorem cdf_tendsto_atBot : Tendsto cdf atBot (𝓝 0) := by
convert (tendsto_integral_Iic_zero (f := density) (μ := volume) tendsto_id) using 1
funext x
exact cdf_eq_integral x
theorem cdf_tendsto_atTop : Tendsto cdf atTop (𝓝 1) := by
have h := cdf_tendsto_atBot.comp tendsto_neg_atTop_atBot
have h' := h.const_sub 1
simpa only [Function.comp_def, cdf_neg, sub_sub_cancel, sub_zero] using h'
theorem cdf_range : range cdf = Ioo (0 : ℝ) 1 := by
apply Subset.antisymm
· rintro _ ⟨x, rfl⟩; exact cdf_mem_Ioo x
· have h := isPreconnected_univ.intermediate_value_Ioo
(l₁ := atBot) (l₂ := atTop) (by simp) (by simp)
cdf_continuous.continuousOn cdf_tendsto_atBot cdf_tendsto_atTop
simpa only [image_univ] using h
noncomputable def quantile : ℝ → ℝ := Function.invFun cdf
@[simp] theorem quantile_cdf (x : ℝ) : quantile (cdf x) = x :=
Function.leftInverse_invFun cdf_strictMono.injective x
theorem cdf_quantile {x : ℝ} (hx : x ∈ Ioo (0 : ℝ) 1) : cdf (quantile x) = x := by
obtain ⟨y, rfl⟩ : x ∈ range cdf := cdf_range.symm ▸ hx
exact congrArg cdf (quantile_cdf y)
theorem quantile_strictMonoOn : StrictMonoOn quantile (Ioo (0 : ℝ) 1) := by
intro a ha b hb hab
apply cdf_strictMono.lt_iff_lt.mp
rwa [cdf_quantile ha, cdf_quantile hb]
theorem quantile_image : quantile '' Ioo (0 : ℝ) 1 = univ := by
apply eq_univ_of_forall
intro x
exact ⟨cdf x, cdf_mem_Ioo x, quantile_cdf x⟩
theorem quantile_continuousAt {x : ℝ} (hx : x ∈ Ioo (0 : ℝ) 1) :
ContinuousAt quantile x := by
apply quantile_strictMonoOn.continuousAt_of_image_mem_nhds (isOpen_Ioo.mem_nhds hx)
rw [quantile_image]
exact univ_mem
theorem quantile_deriv {x : ℝ} (hx : x ∈ Ioo (0 : ℝ) 1) :
HasDerivAt quantile (density (quantile x))⁻¹ x := by
apply HasDerivAt.of_local_left_inverse (quantile_continuousAt hx)
(cdf_deriv (quantile x)) (ne_of_gt (density_pos _))
filter_upwards [isOpen_Ioo.mem_nhds hx] with y hy
exact cdf_quantile hy
@[simp] theorem quantile_half : quantile (1 / 2) = 0 := by
simpa only [cdf_zero] using quantile_cdf 0
/-- Differentiation under a finite integral using the actual compact uniform
bound, to be applied to the Plackett integrand below. -/
theorem integral_hasDerivAt_compact {F F' : ℝ → ℝ → ℝ} {a b u v x : ℝ}
(hx : x ∈ Ioo u v) (hab : a ≤ b)
(hc : ContinuousOn (Function.uncurry F) (Icc u v ×ˢ Icc a b))
(hc' : ContinuousOn (Function.uncurry F') (Icc u v ×ˢ Icc a b))
(hd : ∀ z ∈ Icc u v, ∀ t ∈ Icc a b, HasDerivAt (F · t) (F' z t) z) :
HasDerivAt (fun z => ∫ t in a..b, F z t) (∫ t in a..b, F' x t) x := by
have section_cont {H : ℝ → ℝ → ℝ}
(hh : ContinuousOn (Function.uncurry H) (Icc u v ×ˢ Icc a b))
{z : ℝ} (hz : z ∈ Icc u v) : ContinuousOn (H z) (Icc a b) := by
exact hh.comp (continuous_const.prodMk continuous_id).continuousOn (fun t ht => ⟨hz, ht⟩)
obtain ⟨C, hC⟩ := (isCompact_Icc.prod isCompact_Icc).exists_bound_of_continuousOn hc'
have h := hasDerivAt_integral_of_dominated_loc_of_deriv_le
(μ := volume.restrict (Ioc a b)) (F := F) (F' := F') (bound := fun _ => C)
(Icc_mem_nhds hx.1 hx.2)
(show ∀ᶠ z in 𝓝 x, AEStronglyMeasurable (F z) (volume.restrict (Ioc a b)) from by
filter_upwards [Icc_mem_nhds hx.1 hx.2] with z hz
exact ((section_cont hc hz).mono Ioc_subset_Icc_self).aestronglyMeasurable measurableSet_Ioc)
(((section_cont hc ⟨hx.1.le, hx.2.le⟩).integrableOn_Icc).mono_set Ioc_subset_Icc_self)
(((section_cont hc' ⟨hx.1.le, hx.2.le⟩).mono Ioc_subset_Icc_self).aestronglyMeasurable
measurableSet_Ioc)
(show ∀ᵐ t ∂volume.restrict (Ioc a b), ∀ z ∈ Icc u v, ‖F' z t‖ ≤ C from by
filter_upwards [ae_restrict_mem measurableSet_Ioc] with t ht z hz
exact hC (z, t) ⟨hz, Ioc_subset_Icc_self ht⟩)
(integrable_const C)
(show ∀ᵐ t ∂volume.restrict (Ioc a b), ∀ z ∈ Icc u v,
HasDerivAt (F · t) (F' z t) z from by
filter_upwards [ae_restrict_mem measurableSet_Ioc] with t ht z hz
exact hd z hz t (Ioc_subset_Icc_self ht))
simpa only [intervalIntegral.integral_of_le hab] using h.2
noncomputable def sigma (t : ℝ) : ℝ := Real.sqrt (1 - t ^ 2)
noncomputable def conditionalArg (t u v : ℝ) : ℝ := (v - t * u) / sigma t
noncomputable def plackett (t u v : ℝ) : ℝ :=
density u * density (conditionalArg t u v) / sigma t
noncomputable def kernel (t x y : ℝ) : ℝ :=
x * y + ∫ r in (0 : ℝ)..t, plackett r (quantile x) (quantile y)
theorem sigma_pos {t : ℝ} (ht : t ∈ Ioo (-1 : ℝ) 1) : 0 < sigma t := by
apply Real.sqrt_pos.mpr
nlinarith [ht.1, ht.2]
theorem sigma_sq {t : ℝ} (ht : t ∈ Ioo (-1 : ℝ) 1) : (sigma t) ^ 2 = 1 - t ^ 2 := by
apply Real.sq_sqrt
nlinarith [ht.1, ht.2]
theorem sigma_continuous : Continuous sigma := by unfold sigma; fun_prop
theorem sigma_deriv {t : ℝ} (ht : t ∈ Ioo (-1 : ℝ) 1) :
HasDerivAt sigma (-t / sigma t) t := by
have h := ((hasDerivAt_id t).pow 2).const_sub 1
convert h.sqrt (ne_of_gt (show 0 < 1 - t ^ 2 by nlinarith [ht.1, ht.2])) using 1 <;>
first | rfl | (dsimp [sigma]; ring)
theorem plackett_pos {t : ℝ} (ht : t ∈ Ioo (-1 : ℝ) 1) (u v : ℝ) :
0 < plackett t u v := div_pos (mul_pos (density_pos _) (density_pos _)) (sigma_pos ht)
theorem conditionalArg_continuousOn :
ContinuousOn (fun p : ℝ × ℝ × ℝ => conditionalArg p.1 p.2.1 p.2.2)
{p | p.1 ∈ Ioo (-1 : ℝ) 1} := by
unfold conditionalArg
exact ((continuous_snd.snd.sub (continuous_fst.mul continuous_snd.fst)).continuousOn).div
(sigma_continuous.comp continuous_fst).continuousOn (fun p hp => ne_of_gt (sigma_pos hp))
theorem plackett_continuousOn :
ContinuousOn (fun p : ℝ × ℝ × ℝ => plackett p.1 p.2.1 p.2.2)
{p | p.1 ∈ Ioo (-1 : ℝ) 1} := by
unfold plackett
exact ((density_continuous.comp continuous_snd.fst).continuousOn.mul
(density_continuous.comp_continuousOn conditionalArg_continuousOn)).div
(sigma_continuous.comp continuous_fst).continuousOn (fun p hp => ne_of_gt (sigma_pos hp))
theorem kernel_ge_product {t : ℝ} (ht : t ∈ Ico (0 : ℝ) 1) (x y : ℝ) :
x * y ≤ kernel t x y := by
have h : 0 ≤ ∫ r in (0 : ℝ)..t, plackett r (quantile x) (quantile y) := by
apply intervalIntegral.integral_nonneg ht.1
intro r hr
exact (plackett_pos ⟨by linarith [hr.1], hr.2.trans_lt ht.2⟩ _ _).le
exact le_add_of_nonneg_right h
theorem density_mul (u v : ℝ) : density u * density v =
density 0 ^ 2 * Real.exp (-u ^ 2 / 2 + -v ^ 2 / 2) := by
simp only [density, gaussianPDFReal, NNReal.coe_one, mul_one, sub_zero,
zero_pow (by decide : (2 : ℕ) ≠ 0), neg_zero, zero_div, Real.exp_zero, Real.exp_add]
ring
theorem density_zero_sq : density 0 ^ 2 = (2 * Real.pi)⁻¹ := by
have h : (Real.sqrt (2 * Real.pi)) ^ 2 = 2 * Real.pi := Real.sq_sqrt (by positivity)
simp only [density, gaussianPDFReal, NNReal.coe_one, sub_self, zero_pow (by decide : (2 : ℕ) ≠ 0),
neg_zero, zero_div, Real.exp_zero, mul_one, inv_pow, h]
theorem plackett_symm {t : ℝ} (ht : t ∈ Ioo (-1 : ℝ) 1) (u v : ℝ) :
plackett t u v = plackett t v u := by
have hn := ne_of_gt (sigma_pos ht)
have he : -u ^ 2 / 2 + -(conditionalArg t u v) ^ 2 / 2 =
-v ^ 2 / 2 + -(conditionalArg t v u) ^ 2 / 2 := by
unfold conditionalArg
calc
_ = -(u ^ 2 * sigma t ^ 2 + (v - t * u) ^ 2) / (2 * sigma t ^ 2) := by
field_simp; ring
_ = -(v ^ 2 * sigma t ^ 2 + (u - t * v) ^ 2) / (2 * sigma t ^ 2) := by
rw [sigma_sq ht]; ring
_ = _ := by field_simp; ring
unfold plackett
rw [density_mul, density_mul, he]
theorem kernel_symm {t : ℝ} (ht : t ∈ Ico (0 : ℝ) 1) (x y : ℝ) :
kernel t x y = kernel t y x := by
unfold kernel
rw [mul_comm x y]
congr 1
apply intervalIntegral.integral_congr
intro r hr
rw [uIcc_of_le ht.1] at hr
exact plackett_symm ⟨by linarith [hr.1], hr.2.trans_lt ht.2⟩ _ _
theorem kernel_half {t : ℝ} (ht : t ∈ Ico (0 : ℝ) 1) :
kernel t (1 / 2) (1 / 2) = 1 / 4 + Real.arcsin t / (2 * Real.pi) := by
have hi : IntervalIntegrable (fun r => 1 / sigma r) volume 0 t := by
apply ContinuousOn.intervalIntegrable
exact continuousOn_const.div sigma_continuous.continuousOn (fun r hr => by
rw [uIcc_of_le ht.1] at hr
exact ne_of_gt (sigma_pos ⟨by linarith [hr.1], hr.2.trans_lt ht.2⟩))
have h := intervalIntegral.integral_eq_sub_of_hasDerivAt (a := 0) (b := t)
(f := Real.arcsin) (f' := fun r => 1 / sigma r)
(fun r hr => by
rw [uIcc_of_le ht.1] at hr
exact Real.hasDerivAt_arcsin (by linarith [hr.1]) (ne_of_lt (hr.2.trans_lt ht.2))) hi
simp only [kernel, quantile_half, plackett, conditionalArg, mul_zero, sub_zero, zero_div,
← pow_two, density_zero_sq]
simp only [div_eq_mul_inv, one_mul, intervalIntegral.integral_const_mul] at h ⊢
rw [h, Real.arcsin_zero, sub_zero]
ring
theorem conditionalArg_deriv_u (t u v : ℝ) :
HasDerivAt (fun z => conditionalArg t z v) (-t / sigma t) u := by
convert (((hasDerivAt_id u).const_mul t).const_sub v).div_const (sigma t) using 1 <;>
first | rfl | simp
theorem conditionalArg_deriv_v (t u v : ℝ) :
HasDerivAt (conditionalArg t u) (1 / sigma t) v := by
convert ((hasDerivAt_id v).sub_const (t * u)).div_const (sigma t) using 1
rfl
theorem conditionalArg_deriv_t {t : ℝ} (ht : t ∈ Ioo (-1 : ℝ) 1) (u v : ℝ) :
HasDerivAt (fun r => conditionalArg r u v) ((t * v - u) / sigma t ^ 3) t := by
have hn := ne_of_gt (sigma_pos ht)
have he : ((-u) * sigma t - (v - t * u) * (-t / sigma t)) / sigma t ^ 2 =
(t * v - u) / sigma t ^ 3 := by
field_simp
rw [sigma_sq ht]
ring
convert (((hasDerivAt_id t).mul_const u).const_sub v).div (sigma_deriv ht) hn using 1 <;> try rfl
simpa only [id_eq, one_mul] using he.symm
theorem plackett_deriv_u {t : ℝ} (ht : t ∈ Ioo (-1 : ℝ) 1) (u v : ℝ) :
HasDerivAt (fun z => plackett t z v)
(density u * density (conditionalArg t u v) * (t * v - u) / sigma t ^ 3) u := by
have hn := ne_of_gt (sigma_pos ht)
have hd := ((density_deriv u).mul
((density_deriv (conditionalArg t u v)).comp u (conditionalArg_deriv_u t u v))).div_const
(sigma t)
convert hd using 1 <;> try rfl
dsimp only [Function.comp_apply]
unfold conditionalArg
field_simp
rw [sigma_sq ht]
ring
theorem plackett_quantile_deriv_x {t x : ℝ} (ht : t ∈ Ioo (-1 : ℝ) 1)
(hx : x ∈ Ioo (0 : ℝ) 1) (y : ℝ) :
HasDerivAt (fun z => plackett t (quantile z) (quantile y))
(density (conditionalArg t (quantile x) (quantile y)) *
(t * quantile y - quantile x) / sigma t ^ 3) x := by
convert (plackett_deriv_u ht (quantile x) (quantile y)).comp x (quantile_deriv hx) using 1 <;> try rfl
field_simp [ne_of_gt (density_pos (quantile x))]
theorem conditionalCDF_deriv_t {t : ℝ} (ht : t ∈ Ioo (-1 : ℝ) 1) (u v : ℝ) :
HasDerivAt (fun r => cdf (conditionalArg r u v))
(density (conditionalArg t u v) * (t * v - u) / sigma t ^ 3) t := by
convert (cdf_deriv (conditionalArg t u v)).comp t (conditionalArg_deriv_t ht u v) using 1 <;> try rfl
ring
noncomputable def flux (t u v : ℝ) : ℝ :=
density (conditionalArg t u v) * (t * v - u) / sigma t ^ 3
theorem flux_continuousOn :
ContinuousOn (fun p : ℝ × ℝ × ℝ => flux p.1 p.2.1 p.2.2)
{p | p.1 ∈ Ioo (-1 : ℝ) 1} := by
unfold flux
exact ((density_continuous.comp_continuousOn conditionalArg_continuousOn).mul
((continuous_fst.mul continuous_snd.snd).sub continuous_snd.fst).continuousOn).div
((sigma_continuous.comp continuous_fst).pow 3).continuousOn
(fun p hp => pow_ne_zero _ (ne_of_gt (sigma_pos hp)))
theorem quantile_continuousOn : ContinuousOn quantile (Ioo (0 : ℝ) 1) :=
fun _ hx => (quantile_continuousAt hx).continuousWithinAt
theorem kernel_deriv_x {t x y : ℝ} (ht : t ∈ Ico (0 : ℝ) 1)
(hx : x ∈ Ioo (0 : ℝ) 1) (hy : y ∈ Ioo (0 : ℝ) 1) :
HasDerivAt (fun z => kernel t z y) (cdf (conditionalArg t (quantile x) (quantile y))) x := by
let u := x / 2
let v := (x + 1) / 2
have huxv : x ∈ Ioo u v := by dsimp [u, v]; constructor <;> linarith [hx.1, hx.2]
have huv : Icc u v ⊆ Ioo (0 : ℝ) 1 := by
intro z hz; dsimp [u, v] at hz; constructor <;> linarith [hx.1, hx.2, hz.1, hz.2]
have hrt : Icc (0 : ℝ) t ⊆ Ioo (-1 : ℝ) 1 := by
intro r hr; exact ⟨by linarith [hr.1], hr.2.trans_lt ht.2⟩
have hm : ContinuousOn (fun p : ℝ × ℝ => (p.2, quantile p.1, quantile y))
(Icc u v ×ˢ Icc (0 : ℝ) t) := by
apply continuous_snd.continuousOn.prodMk
exact (quantile_continuousOn.comp continuous_fst.continuousOn
(fun p hp => huv hp.1)).prodMk continuousOn_const
have hc := plackett_continuousOn.comp hm (fun p hp => hrt hp.2)
have hc' := flux_continuousOn.comp hm (fun p hp => hrt hp.2)
have hd := integral_hasDerivAt_compact (F := fun z r => plackett r (quantile z) (quantile y))
(F' := fun z r => flux r (quantile z) (quantile y)) huxv ht.1 hc hc'
(fun z hz r hr => plackett_quantile_deriv_x (hrt hr) (huv hz) y)
have hint : (∫ r in (0 : ℝ)..t, flux r (quantile x) (quantile y)) =
cdf (conditionalArg t (quantile x) (quantile y)) - y := by
have hfc : ContinuousOn (fun r => flux r (quantile x) (quantile y)) (uIcc 0 t) := by
apply flux_continuousOn.comp
(continuous_id.prodMk (continuous_const.prodMk continuous_const)).continuousOn
intro r hr
rw [uIcc_of_le ht.1] at hr
exact hrt hr
have hh := intervalIntegral.integral_eq_sub_of_hasDerivAt (a := 0) (b := t)
(fun r hr => conditionalCDF_deriv_t (hrt (by rwa [uIcc_of_le ht.1] at hr))
(quantile x) (quantile y)) hfc.intervalIntegrable
simpa only [flux, conditionalArg, sigma, zero_pow (by decide : (2 : ℕ) ≠ 0), sub_zero,
Real.sqrt_one, zero_mul, div_one, cdf_quantile hy] using hh
convert ((hasDerivAt_id x).mul_const y).add hd using 1 <;> try rfl
simp only [one_mul]
rw [hint]
ring
theorem kernel_deriv_y {t x y : ℝ} (ht : t ∈ Ico (0 : ℝ) 1)
(hx : x ∈ Ioo (0 : ℝ) 1) (hy : y ∈ Ioo (0 : ℝ) 1) :
HasDerivAt (kernel t x) (cdf (conditionalArg t (quantile y) (quantile x))) y := by
have h := kernel_deriv_x ht hy hx
have he : (fun z => kernel t z x) = kernel t x := by
funext z; exact kernel_symm ht z x
rwa [he] at h
noncomputable def kernelX (t x y : ℝ) : ℝ := cdf (conditionalArg t (quantile x) (quantile y))
noncomputable def kernelXX (t x y : ℝ) : ℝ :=
-t * plackett t (quantile x) (quantile y) / density (quantile x) ^ 2
noncomputable def kernelXY (t x y : ℝ) : ℝ :=
plackett t (quantile x) (quantile y) / (density (quantile x) * density (quantile y))
theorem kernelX_deriv_x {t x y : ℝ} (_ht : t ∈ Ico (0 : ℝ) 1)
(hx : x ∈ Ioo (0 : ℝ) 1) :
HasDerivAt (fun z => kernelX t z y) (kernelXX t x y) x := by
have h := (cdf_deriv (conditionalArg t (quantile x) (quantile y))).comp x
((conditionalArg_deriv_u t (quantile x) (quantile y)).comp x (quantile_deriv hx))
convert h using 1 <;> try rfl
unfold kernelXX plackett
field_simp [ne_of_gt (density_pos (quantile x))]
theorem kernelX_deriv_y {t x y : ℝ} (_ht : t ∈ Ico (0 : ℝ) 1)
(hy : y ∈ Ioo (0 : ℝ) 1) :
HasDerivAt (kernelX t x) (kernelXY t x y) y := by
have h := (cdf_deriv (conditionalArg t (quantile x) (quantile y))).comp y
((conditionalArg_deriv_v t (quantile x) (quantile y)).comp y (quantile_deriv hy))
convert h using 1 <;> try rfl
unfold kernelXY plackett
field_simp [ne_of_gt (density_pos (quantile x)), ne_of_gt (density_pos (quantile y))]
theorem kernel_weighted_hessian {t : ℝ} (ht : t ∈ Ico (0 : ℝ) 1) (x y a b : ℝ) :
kernelXX t x y * a ^ 2 + 2 * t * kernelXY t x y * a * b + kernelXX t y x * b ^ 2 =
-t * plackett t (quantile x) (quantile y) *
(a / density (quantile x) - b / density (quantile y)) ^ 2 := by
have ht' : t ∈ Ioo (-1 : ℝ) 1 := ⟨by linarith [ht.1], ht.2⟩
unfold kernelXX kernelXY
rw [plackett_symm ht' (quantile y) (quantile x)]
field_simp [ne_of_gt (density_pos (quantile x)), ne_of_gt (density_pos (quantile y))]
ring
theorem kernel_weighted_hessian_nonpos {t : ℝ} (ht : t ∈ Ico (0 : ℝ) 1) (x y a b : ℝ) :
kernelXX t x y * a ^ 2 + 2 * t * kernelXY t x y * a * b + kernelXX t y x * b ^ 2 ≤ 0 := by
rw [kernel_weighted_hessian ht]
apply mul_nonpos_of_nonpos_of_nonneg
· exact mul_nonpos_of_nonpos_of_nonneg (by linarith [ht.1])
(plackett_pos ⟨by linarith [ht.1], ht.2⟩ _ _).le
· exact sq_nonneg _
theorem density_contDiff (n : ℕ∞ω) : ContDiff ℝ n density := by
unfold density gaussianPDFReal
fun_prop
theorem cdf_contDiff (n : ℕ) : ContDiff ℝ n cdf := by
cases n with
| zero => exact contDiff_zero.mpr cdf_continuous
| succ n =>
rw [show ((n + 1 : ℕ) : ℕ∞ω) = (n : ℕ∞ω) + 1 by simp, contDiff_succ_iff_deriv]
refine ⟨fun x => (cdf_deriv x).differentiableAt, by simp, ?_⟩
have he : deriv cdf = density := funext (fun x => (cdf_deriv x).deriv)
rw [he]
exact density_contDiff n
theorem quantile_contDiffOn (n : ℕ) : ContDiffOn ℝ n quantile (Ioo (0 : ℝ) 1) := by
induction n with
| zero => exact contDiffOn_zero.mpr quantile_continuousOn
| succ n ih =>
rw [show ((n + 1 : ℕ) : ℕ∞ω) = (n : ℕ∞ω) + 1 by simp,
contDiffOn_succ_iff_deriv_of_isOpen isOpen_Ioo]
refine ⟨fun x hx => (quantile_deriv hx).differentiableAt.differentiableWithinAt, by simp, ?_⟩
have h : ContDiffOn ℝ n (fun x => (density (quantile x))⁻¹) (Ioo (0 : ℝ) 1) := by
exact ((density_contDiff n).comp_contDiffOn ih).inv (fun _ _ => ne_of_gt (density_pos _))
apply h.congr
intro x hx
exact (quantile_deriv hx).deriv
theorem kernelX_contDiffOn {t : ℝ} (n : ℕ) :
ContDiffOn ℝ n (Function.uncurry (kernelX t)) (Ioo (0 : ℝ) 1 ×ˢ Ioo (0 : ℝ) 1) := by
have hx : ContDiffOn ℝ n (fun p : ℝ × ℝ => quantile p.1)
(Ioo (0 : ℝ) 1 ×ˢ Ioo (0 : ℝ) 1) :=
(quantile_contDiffOn n).comp contDiffOn_fst (fun _ hp => hp.1)
have hy : ContDiffOn ℝ n (fun p : ℝ × ℝ => quantile p.2)
(Ioo (0 : ℝ) 1 ×ˢ Ioo (0 : ℝ) 1) :=
(quantile_contDiffOn n).comp contDiffOn_snd (fun _ hp => hp.2)
exact (cdf_contDiff n).comp_contDiffOn ((hy.sub (contDiffOn_const.mul hx)).div_const (sigma t))
noncomputable def kernelD (t : ℝ) (p : ℝ × ℝ) : (ℝ × ℝ) →L[ℝ] ℝ :=
kernelX t p.1 p.2 • ContinuousLinearMap.fst ℝ ℝ ℝ +
kernelX t p.2 p.1 • ContinuousLinearMap.snd ℝ ℝ ℝ
theorem kernelD_contDiffOn (t : ℝ) (n : ℕ) :
ContDiffOn ℝ n (kernelD t) (Ioo (0 : ℝ) 1 ×ˢ Ioo (0 : ℝ) 1) := by
have hswap : ContDiffOn ℝ n (fun p : ℝ × ℝ => kernelX t p.2 p.1)
(Ioo (0 : ℝ) 1 ×ˢ Ioo (0 : ℝ) 1) :=
(kernelX_contDiffOn n).comp (contDiffOn_snd.prodMk contDiffOn_fst)
(fun _ hp => ⟨hp.2, hp.1⟩)
exact ((kernelX_contDiffOn n).smul_const _).add (hswap.smul_const _)
theorem kernel_fderiv {t : ℝ} (ht : t ∈ Ico (0 : ℝ) 1) {p : ℝ × ℝ}
(hp : p ∈ Ioo (0 : ℝ) 1 ×ˢ Ioo (0 : ℝ) 1) :
HasFDerivAt (Function.uncurry (kernel t)) (kernelD t p) p := by
have hn := (isOpen_Ioo.prod isOpen_Ioo).mem_nhds hp
have hc : ContinuousAt (Function.uncurry (kernelX t)) p :=
(kernelX_contDiffOn 0).continuousOn.continuousAt hn
have hswap : ContDiffOn ℝ 0 (fun q : ℝ × ℝ => kernelX t q.2 q.1)
(Ioo (0 : ℝ) 1 ×ˢ Ioo (0 : ℝ) 1) :=
(kernelX_contDiffOn 0).comp (contDiffOn_snd.prodMk contDiffOn_fst)
(fun _ hq => ⟨hq.2, hq.1⟩)
have hcs : ContinuousAt (fun q : ℝ × ℝ => kernelX t q.2 q.1) p :=
hswap.continuousOn.continuousAt hn
have hf := hasStrictFDerivAt_uncurry_coprod (𝕜 := ℝ) (f := kernel t)
(f₁ := fun x y => ContinuousLinearMap.toSpanSingleton ℝ (kernelX t x y))
(f₂ := fun x y => ContinuousLinearMap.toSpanSingleton ℝ (kernelX t y x))
(Filter.mem_of_superset hn (fun q hq => (kernel_deriv_x ht hq.1 hq.2).hasFDerivAt))
(Filter.mem_of_superset hn (fun q hq => (kernel_deriv_y ht hq.1 hq.2).hasFDerivAt))
((ContinuousLinearMap.toSpanSingletonLIE ℝ ℝ).continuous.continuousAt.comp hc)
((ContinuousLinearMap.toSpanSingletonLIE ℝ ℝ).continuous.continuousAt.comp hcs)
convert hf.hasFDerivAt using 1 <;> try rfl
apply ContinuousLinearMap.ext
intro q
change kernelX t p.1 p.2 * q.1 + kernelX t p.2 p.1 * q.2 =
q.1 * kernelX t p.1 p.2 + q.2 * kernelX t p.2 p.1
ring
theorem kernel_contDiffOn {t : ℝ} (ht : t ∈ Ico (0 : ℝ) 1) (n : ℕ) :
ContDiffOn ℝ n (Function.uncurry (kernel t)) (Ioo (0 : ℝ) 1 ×ˢ Ioo (0 : ℝ) 1) := by
cases n with
| zero =>
apply contDiffOn_zero.mpr
intro p hp
exact (kernel_fderiv ht hp).continuousAt.continuousWithinAt
| succ n =>
rw [show ((n + 1 : ℕ) : ℕ∞ω) = (n : ℕ∞ω) + 1 by simp,
contDiffOn_succ_iff_fderiv_of_isOpen (isOpen_Ioo.prod isOpen_Ioo)]
refine ⟨fun p hp => (kernel_fderiv ht hp).differentiableAt.differentiableWithinAt, by simp, ?_⟩
apply (kernelD_contDiffOn t n).congr
intro p hp
exact (kernel_fderiv ht hp).fderiv
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
theorem affinePath_deriv (p d : E) (u : ℝ) :
HasDerivAt (fun v : ℝ => p + v • d) d u := by
simpa using ((hasDerivAt_id u).smul_const d).const_add p
theorem affinePath_iterated_two (p d : E) (u : ℝ) :
iteratedDeriv 2 (fun v : ℝ => p + v • d) u = 0 := by
rw [iteratedDeriv_const_add (by norm_num),
iteratedDeriv_smul_const (f := fun v : ℝ => v) (contDiffAt_id : ContDiffAt ℝ 2 _ _)]
simp [iteratedDeriv_fun_id]
theorem affinePath_iterated_three (p d : E) (u : ℝ) :
iteratedDeriv 3 (fun v : ℝ => p + v • d) u = 0 := by
rw [iteratedDeriv_const_add (by norm_num),
iteratedDeriv_smul_const (f := fun v : ℝ => v) (contDiffAt_id : ContDiffAt ℝ 3 _ _)]
simp [iteratedDeriv_fun_id]
theorem iteratedDeriv_affinePath_two {F : E → ℝ} {p d : E} {u : ℝ}
(hf : ContDiffAt ℝ 2 F (p + u • d)) :
iteratedDeriv 2 (fun v : ℝ => F (p + v • d)) u =
iteratedFDeriv ℝ 2 F (p + u • d) (fun _ => d) := by
have h := iteratedDeriv_vcomp_two hf
(show ContDiffAt ℝ 2 (fun v : ℝ => p + v • d) u by fun_prop)
simpa [Function.comp_def, (affinePath_deriv p d u).deriv,
affinePath_iterated_two] using h
theorem iteratedDeriv_affinePath_three {F : E → ℝ} {p d : E} {u : ℝ}
(hf : ContDiffAt ℝ 3 F (p + u • d)) :
iteratedDeriv 3 (fun v : ℝ => F (p + v • d)) u =
iteratedFDeriv ℝ 3 F (p + u • d) (fun _ => d) := by
have h := iteratedDeriv_vcomp_three hf
(show ContDiffAt ℝ 3 (fun v : ℝ => p + v • d) u by fun_prop)
have hz₀ := (iteratedFDeriv ℝ 2 F (p + u • d)).map_coord_zero
(m := ![0, d]) 0 (by simp)
have hz₁ := (iteratedFDeriv ℝ 2 F (p + u • d)).map_coord_zero
(m := ![d, 0]) 1 (by simp)
simpa [Function.comp_def, (affinePath_deriv p d u).deriv,
affinePath_iterated_two, affinePath_iterated_three, hz₀, hz₁] using h
theorem compact_third_derivative_bound {O K : Set E} (hO : IsOpen O)
(hK : IsCompact K) (hKO : K ⊆ O) {F : E → ℝ} (hf : ContDiffOn ℝ 3 F O) :
∃ C : ℝ, 0 ≤ C ∧ ∀ p ∈ K, ‖iteratedFDeriv ℝ 3 F p‖ ≤ C := by
have hc : ContinuousOn (iteratedFDeriv ℝ 3 F) O := by
apply (hf.continuousOn_iteratedFDerivWithin (by norm_num) hO.uniqueDiffOn).congr
intro p hp
exact (iteratedFDerivWithin_eq_iteratedFDeriv hO.uniqueDiffOn
(hf.contDiffAt (hO.mem_nhds hp)) hp).symm
obtain ⟨C, hC⟩ := hK.exists_bound_of_continuousOn (hc.mono hKO)
refine ⟨max 0 C, le_max_left _ _, fun p hp => (hC p hp).trans (le_max_right _ _)⟩
theorem compact_cubic_taylor_bound {O K : Set E} (hO : IsOpen O)
(hK : IsCompact K) (hcv : Convex ℝ K) (hKO : K ⊆ O)
{F : E → ℝ} (hf : ContDiffOn ℝ 3 F O) :
∃ C : ℝ, 0 ≤ C ∧ ∀ p ∈ K, ∀ q ∈ K,
|F q - F p - fderiv ℝ F p (q - p) -
(1 / 2 : ℝ) * iteratedFDeriv ℝ 2 F p (fun _ => q - p)| ≤ C * ‖q - p‖ ^ 3 := by
obtain ⟨C, hC0, hC⟩ := compact_third_derivative_bound hO hK hKO hf
refine ⟨C, hC0, ?_⟩
intro p hp q hq
let d := q - p
let g : ℝ → ℝ := fun u => F (p + u • d)
have hpath (u : ℝ) (hu : u ∈ Icc (0 : ℝ) 1) : p + u • d ∈ K :=
hcv.add_smul_sub_mem hp hq hu
have hF (u : ℝ) (hu : u ∈ Icc (0 : ℝ) 1) : ContDiffAt ℝ 3 F (p + u • d) :=
hf.contDiffAt (hO.mem_nhds (hKO (hpath u hu)))
have hg (u : ℝ) (hu : u ∈ Icc (0 : ℝ) 1) : ContDiffAt ℝ 3 g u :=
(hF u hu).comp u (by fun_prop)
have hthird (u : ℝ) (hu : u ∈ Icc (0 : ℝ) 1) :
‖iteratedDerivWithin 3 g (Icc 0 1) u‖ ≤ C * ‖d‖ ^ 3 := by
rw [iteratedDerivWithin_eq_iteratedDeriv (uniqueDiffOn_Icc (by norm_num)) (hg u hu) hu]
change ‖iteratedDeriv 3 (fun v => F (p + v • d)) u‖ ≤ _
rw [iteratedDeriv_affinePath_three (hF u hu)]
simpa using (iteratedFDeriv ℝ 3 F (p + u • d)).le_of_opNorm_le
(hC _ (hpath u hu)) (fun _ => d)
have hb := taylor_mean_remainder_bound (n := 2) (a := (0 : ℝ)) (b := 1)
(x := 1) (by norm_num) (fun u hu => (hg u hu).contDiffWithinAt)
(by constructor <;> norm_num) hthird
have h0 : (0 : ℝ) ∈ Icc (0 : ℝ) 1 := by constructor <;> norm_num
have hg0 : ContDiffAt ℝ 3 g 0 := hg 0 h0
have hg1 : deriv g 0 = fderiv ℝ F p d := by
have hh := (hf.contDiffAt (hO.mem_nhds (hKO hp))).differentiableAt (by norm_num)
have hh' : HasFDerivAt F (fderiv ℝ F p) (p + (0 : ℝ) • d) := by simpa using hh.hasFDerivAt
simpa [g, Function.comp_def] using (hh'.comp_hasDerivAt 0 (affinePath_deriv p d 0)).deriv
have hg2 : iteratedDeriv 2 g 0 = iteratedFDeriv ℝ 2 F p (fun _ => d) := by
simpa [g] using iteratedDeriv_affinePath_two ((hF 0 h0).of_le (by norm_num))
have ht : taylorWithinEval g 2 (Icc 0 1) 0 1 =
F p + fderiv ℝ F p d + (1 / 2 : ℝ) * iteratedFDeriv ℝ 2 F p (fun _ => d) := by
rw [taylorWithinEval_succ g 1, taylorWithinEval_succ g 0, taylor_within_zero_eval]
rw [iteratedDerivWithin_eq_iteratedDeriv (uniqueDiffOn_Icc (by norm_num))
(hg0.of_le (by norm_num)) h0,
iteratedDerivWithin_eq_iteratedDeriv (uniqueDiffOn_Icc (by norm_num))
(hg0.of_le (by norm_num)) h0]
simp only [hg2]
norm_num [g]
exact hg1
rw [ht] at hb
have hg_end : g 1 = F q := by simp [g, d]
rw [hg_end] at hb
norm_num at hb
calc
_ = |F q - (F p + fderiv ℝ F p d +
(1 / 2 : ℝ) * iteratedFDeriv ℝ 2 F p (fun _ => d))| := by congr 1; dsimp [d]; ring
_ ≤ C * ‖d‖ ^ 3 / 2 := hb
_ ≤ C * ‖q - p‖ ^ 3 := div_le_self (by positivity) (by norm_num)
theorem kernelX_line_deriv {t x y a b u : ℝ} (_ht : t ∈ Ico (0 : ℝ) 1)
(hx : x + u * a ∈ Ioo (0 : ℝ) 1) (hy : y + u * b ∈ Ioo (0 : ℝ) 1) :
HasDerivAt (fun v : ℝ => kernelX t (x + v * a) (y + v * b))
(kernelXX t (x + u * a) (y + u * b) * a +
kernelXY t (x + u * a) (y + u * b) * b) u := by
have hqx := (quantile_deriv hx).comp u (((hasDerivAt_id u).mul_const a).const_add x)
have hqy := (quantile_deriv hy).comp u (((hasDerivAt_id u).mul_const b).const_add y)
have h := (cdf_deriv (conditionalArg t (quantile (x + u * a)) (quantile (y + u * b)))).comp u
((hqy.sub (hqx.const_mul t)).div_const (sigma t))
convert h using 1 <;> try rfl
unfold kernelXX kernelXY plackett
field_simp [ne_of_gt (density_pos (quantile (x + u * a))),
ne_of_gt (density_pos (quantile (y + u * b)))]
ring
theorem kernel_line_deriv {t x y a b u : ℝ} (ht : t ∈ Ico (0 : ℝ) 1)
(hx : x + u * a ∈ Ioo (0 : ℝ) 1) (hy : y + u * b ∈ Ioo (0 : ℝ) 1) :
HasDerivAt (fun v : ℝ => kernel t (x + v * a) (y + v * b))
(kernelX t (x + u * a) (y + u * b) * a +
kernelX t (y + u * b) (x + u * a) * b) u := by
have hline : HasDerivAt (fun v : ℝ => (x + v * a, y + v * b)) (a, b) u :=
by simpa using ((((hasDerivAt_id u).mul_const a).const_add x).prodMk
(((hasDerivAt_id u).mul_const b).const_add y))
simpa [Function.comp_def, kernelD] using (kernel_fderiv ht ⟨hx, hy⟩).comp_hasDerivAt u hline
theorem kernel_line_second {t x y a b : ℝ} (ht : t ∈ Ico (0 : ℝ) 1)
(hx : x ∈ Ioo (0 : ℝ) 1) (hy : y ∈ Ioo (0 : ℝ) 1) :
iteratedDeriv 2 (fun v : ℝ => kernel t (x + v * a) (y + v * b)) 0 =
kernelXX t x y * a ^ 2 + 2 * kernelXY t x y * a * b + kernelXX t y x * b ^ 2 := by
have hx' : x + (0 : ℝ) * a ∈ Ioo (0 : ℝ) 1 := by simpa using hx
have hy' : y + (0 : ℝ) * b ∈ Ioo (0 : ℝ) 1 := by simpa using hy
have hne : ∀ᶠ v : ℝ in 𝓝 0, x + v * a ∈ Ioo (0 : ℝ) 1 ∧
y + v * b ∈ Ioo (0 : ℝ) 1 := by
have hc : ContinuousAt (fun v : ℝ => (x + v * a, y + v * b)) 0 := by fun_prop
exact hc.preimage_mem_nhds ((isOpen_Ioo.prod isOpen_Ioo).mem_nhds ⟨hx', hy'⟩)
have he : deriv (fun v : ℝ => kernel t (x + v * a) (y + v * b)) =ᶠ[𝓝 0]
(fun v => kernelX t (x + v * a) (y + v * b) * a +
kernelX t (y + v * b) (x + v * a) * b) := by
filter_upwards [hne] with v hv
exact (kernel_line_deriv ht hv.1 hv.2).deriv
have hd := ((kernelX_line_deriv ht hx' hy').mul_const a).add
((kernelX_line_deriv ht hy' hx').mul_const b)
have heq : kernelXY t y x = kernelXY t x y := by
unfold kernelXY
rw [plackett_symm ⟨by linarith [ht.1], ht.2⟩ (quantile y) (quantile x), mul_comm]
rw [show (2 : ℕ) = 1 + 1 from rfl, iteratedDeriv_succ, iteratedDeriv_one, he.deriv_eq]
have hdd := hd.deriv
simp only [zero_mul, add_zero, heq] at hdd
convert hdd using 1
ring
theorem kernel_second_diagonal {t : ℝ} (ht : t ∈ Ico (0 : ℝ) 1) {p : ℝ × ℝ}
(hp : p ∈ Ioo (0 : ℝ) 1 ×ˢ Ioo (0 : ℝ) 1) (d : ℝ × ℝ) :
iteratedFDeriv ℝ 2 (Function.uncurry (kernel t)) p (fun _ => d) =
kernelXX t p.1 p.2 * d.1 ^ 2 + 2 * kernelXY t p.1 p.2 * d.1 * d.2 +
kernelXX t p.2 p.1 * d.2 ^ 2 := by
have hf : ContDiffAt ℝ 2 (Function.uncurry (kernel t)) (p + (0 : ℝ) • d) := by
simpa using (kernel_contDiffOn ht 2).contDiffAt
((isOpen_Ioo.prod isOpen_Ioo).mem_nhds hp)
have he := iteratedDeriv_affinePath_two hf
simp only [zero_smul, add_zero] at he
rw [← he]
exact kernel_line_second ht hp.1 hp.2
theorem norm_pair_cube_le (a b : ℝ) : ‖(a, b)‖ ^ 3 ≤ |a| ^ 3 + |b| ^ 3 := by
rw [Prod.norm_def, Real.norm_eq_abs, Real.norm_eq_abs]
rcases le_total |a| |b| with h | h
· rw [max_eq_right h]; exact le_add_of_nonneg_left (by positivity)
· rw [max_eq_left h]; exact le_add_of_nonneg_right (by positivity)
theorem kernel_uniform_cubic {t η : ℝ} (ht : t ∈ Ico (0 : ℝ) 1)
(hη : 0 < η) (_hη' : η ≤ 1 / 2) :
∃ C : ℝ, 0 ≤ C ∧ ∀ p ∈ Icc η (1 - η) ×ˢ Icc η (1 - η),
∀ q ∈ Icc η (1 - η) ×ˢ Icc η (1 - η),
|kernel t q.1 q.2 - kernel t p.1 p.2 -
(kernelX t p.1 p.2 * (q.1 - p.1) + kernelX t p.2 p.1 * (q.2 - p.2)) -
(1 / 2 : ℝ) * (kernelXX t p.1 p.2 * (q.1 - p.1) ^ 2 +
2 * kernelXY t p.1 p.2 * (q.1 - p.1) * (q.2 - p.2) +
kernelXX t p.2 p.1 * (q.2 - p.2) ^ 2)| ≤
C * (|q.1 - p.1| ^ 3 + |q.2 - p.2| ^ 3) := by
have hsub : Icc η (1 - η) ×ˢ Icc η (1 - η) ⊆
Ioo (0 : ℝ) 1 ×ˢ Ioo (0 : ℝ) 1 := by
intro p hp
exact ⟨⟨hη.trans_le hp.1.1, by linarith [hp.1.2]⟩,
⟨hη.trans_le hp.2.1, by linarith [hp.2.2]⟩⟩
obtain ⟨C, hC0, hC⟩ := compact_cubic_taylor_bound (isOpen_Ioo.prod isOpen_Ioo)
(isCompact_Icc.prod isCompact_Icc) ((convex_Icc η (1 - η)).prod (convex_Icc η (1 - η)))
hsub (kernel_contDiffOn ht 3)
refine ⟨C, hC0, ?_⟩
intro p hp q hq
have hb := hC p hp q hq
rw [(kernel_fderiv ht (hsub hp)).fderiv, kernel_second_diagonal ht (hsub hp)] at hb
change |kernel t q.1 q.2 - kernel t p.1 p.2 -
(kernelX t p.1 p.2 * (q.1 - p.1) + kernelX t p.2 p.1 * (q.2 - p.2)) -
(1 / 2 : ℝ) * (kernelXX t p.1 p.2 * (q.1 - p.1) ^ 2 +
2 * kernelXY t p.1 p.2 * (q.1 - p.1) * (q.2 - p.2) +
kernelXX t p.2 p.1 * (q.2 - p.2) ^ 2)| ≤ C * ‖q - p‖ ^ 3 at hb
exact hb.trans (mul_le_mul_of_nonneg_left (norm_pair_cube_le (q.1 - p.1) (q.2 - p.2)) hC0)
def sign (b : Bool) : ℝ := if b then -1 else 1
noncomputable def bitPairWeight (t : ℝ) (a b : Bool) : ℝ := (1 + t * sign a * sign b) / 4
theorem bitPairWeight_nonneg {t : ℝ} (ht : t ∈ Set.Icc (-1 : ℝ) 1) (a b : Bool) :
0 ≤ bitPairWeight t a b := by
cases a <;> cases b <;> simp [bitPairWeight, sign] <;> linarith [ht.1, ht.2]
theorem bitPairWeight_mass (t : ℝ) : ∑ a : Bool, ∑ b : Bool, bitPairWeight t a b = 1 := by
simp [bitPairWeight, sign]; ring
theorem bitPairWeight_marginal (t : ℝ) (a : Bool) : ∑ b : Bool, bitPairWeight t a b = 1 / 2 := by
cases a <;> simp [bitPairWeight, sign] <;> ring
theorem bitPairWeight_symm (t : ℝ) (a b : Bool) : bitPairWeight t a b = bitPairWeight t b a := by
unfold bitPairWeight; ring
theorem kernel_one_bit {t η : ℝ} (ht : t ∈ Ico (0 : ℝ) 1)
(hη : 0 < η) (hη' : η ≤ 1 / 2) :
∃ C : ℝ, 0 ≤ C ∧ ∀ x y a b : ℝ,
(∀ e : Bool, x + sign e * a ∈ Icc η (1 - η)) →
(∀ e : Bool, y + sign e * b ∈ Icc η (1 - η)) →
(∑ e : Bool, ∑ f : Bool, bitPairWeight t e f *
kernel t (x + sign e * a) (y + sign f * b)) ≤
kernel t x y + C * (|a| ^ 3 + |b| ^ 3) := by
obtain ⟨C, hC0, hC⟩ := kernel_uniform_cubic ht hη hη'
refine ⟨C, hC0, ?_⟩
intro x y a b hx hy
have hxp : x ∈ Icc η (1 - η) := by
have hx0 := hx false; have hx1 := hx true
simp [sign] at hx0 hx1
constructor <;> linarith [hx0.1, hx0.2, hx1.1, hx1.2]
have hyp : y ∈ Icc η (1 - η) := by
have hy0 := hy false; have hy1 := hy true
simp [sign] at hy0 hy1
constructor <;> linarith [hy0.1, hy0.2, hy1.1, hy1.2]
let Q : Bool → Bool → ℝ := fun e f => kernel t x y +
(kernelX t x y * (sign e * a) + kernelX t y x * (sign f * b)) +
(1 / 2 : ℝ) * (kernelXX t x y * (sign e * a) ^ 2 +
2 * kernelXY t x y * (sign e * a) * (sign f * b) +
kernelXX t y x * (sign f * b) ^ 2) + C * (|a| ^ 3 + |b| ^ 3)
have hpoint (e f : Bool) : kernel t (x + sign e * a) (y + sign f * b) ≤ Q e f := by
have hb := (hC (x, y) ⟨hxp, hyp⟩ (x + sign e * a, y + sign f * b) ⟨hx e, hy f⟩)
simp only [add_sub_cancel_left] at hb
have he : |sign e * a| = |a| := by cases e <;> simp [sign]
have hf : |sign f * b| = |b| := by cases f <;> simp [sign]
rw [he, hf] at hb
have hb' := (abs_le.mp hb).2
dsimp [Q]
linarith
have hsum : (∑ e : Bool, ∑ f : Bool, bitPairWeight t e f *
kernel t (x + sign e * a) (y + sign f * b)) ≤
∑ e : Bool, ∑ f : Bool, bitPairWeight t e f * Q e f := by
apply Finset.sum_le_sum
intro e _
apply Finset.sum_le_sum
intro f _
exact mul_le_mul_of_nonneg_left (hpoint e f)
(bitPairWeight_nonneg ⟨by linarith [ht.1], ht.2.le⟩ e f)
have halg : (∑ e : Bool, ∑ f : Bool, bitPairWeight t e f * Q e f) =
kernel t x y + (1 / 2 : ℝ) *
(kernelXX t x y * a ^ 2 + 2 * t * kernelXY t x y * a * b + kernelXX t y x * b ^ 2) +
C * (|a| ^ 3 + |b| ^ 3) := by
simp only [Fintype.sum_bool, Q, bitPairWeight, sign, Bool.false_eq_true, ↓reduceIte]
ring
rw [halg] at hsum
linarith [kernel_weighted_hessian_nonpos ht x y a b]
theorem kernel_lipschitz_x {t x x' y : ℝ} (ht : t ∈ Ico (0 : ℝ) 1)
(hx : x ∈ Ioo (0 : ℝ) 1) (hx' : x' ∈ Ioo (0 : ℝ) 1) (hy : y ∈ Ioo (0 : ℝ) 1) :
|kernel t x' y - kernel t x y| ≤ |x' - x| := by
have hb := Convex.norm_image_sub_le_of_norm_deriv_le
(f := fun z => kernel t z y) (C := 1)
(fun z hz => (kernel_deriv_x ht hz hy).differentiableAt)
(fun z hz => by
rw [(kernel_deriv_x ht hz hy).deriv, Real.norm_eq_abs,
abs_of_pos (cdf_mem_Ioo _).1]
exact (cdf_mem_Ioo _).2.le)
(convex_Ioo (0 : ℝ) 1) hx hx'
simpa only [Real.norm_eq_abs, one_mul] using hb
theorem kernel_lipschitz {t x x' y y' : ℝ} (ht : t ∈ Ico (0 : ℝ) 1)
(hx : x ∈ Ioo (0 : ℝ) 1) (hx' : x' ∈ Ioo (0 : ℝ) 1)
(hy : y ∈ Ioo (0 : ℝ) 1) (hy' : y' ∈ Ioo (0 : ℝ) 1) :
|kernel t x' y' - kernel t x y| ≤ |x' - x| + |y' - y| := by
have h1 := kernel_lipschitz_x ht hx hx' hy'
have h2 := kernel_lipschitz_x ht hy hy' hx
rw [kernel_symm ht y' x, kernel_symm ht y x] at h2
calc
_ = |(kernel t x' y' - kernel t x y') + (kernel t x y' - kernel t x y)| := by congr 1; ring
_ ≤ |kernel t x' y' - kernel t x y'| + |kernel t x y' - kernel t x y| := abs_add_le _ _
_ ≤ _ := add_le_add h1 h2
end OptimalMaxCut.GaussianBellman
end
end OAI