openAI-math-dataset / lean /OAI /Geometry /CylinderCovering /Caps /CompensationEstimates.lean
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import OAI.Geometry.CylinderCovering.Caps.CapsDefinitions
namespace OAI
namespace CylinderCovering.HalfHeightCaps.CompensationEstimates
lemma square_le_one {x : ℝ} (hx : |x| ≤ 1) : x^2 ≤ 1 := by
nlinarith only [sq_abs x, abs_nonneg x, hx]
lemma alpha_bounds {r : ℝ} (hr : |r| ≤ 1) : 0 ≤ alpha r ∧ alpha r ≤ 1/2 := by
have h := square_le_one hr
unfold alpha
constructor
· positivity
· linarith
lemma profile_bounds {r : ℝ} (hr : |r| ≤ 1) : 0 ≤ F r ∧ F r ≤ 1/8 := by
have h := square_le_one hr
have hprod := mul_nonneg (sq_nonneg r) (sub_nonneg.mpr h)
unfold F
constructor
· positivity
· nlinarith only [h, sq_nonneg r, hprod]
lemma abs_product_le_one {x r : ℝ} (hx : |x| ≤ 1) (hr : |r| ≤ 1) :
|x*r| ≤ 1 := by
rw [abs_mul]
nlinarith only [hx, hr, abs_nonneg x, abs_nonneg r,
mul_nonneg (sub_nonneg.mpr hx) (abs_nonneg r)]
lemma weight_bounds {δ x r : ℝ} (hδ : 0 ≤ δ) (hδsmall : δ ≤ 1/2)
(hx : |x| ≤ 1) (hr : |r| ≤ 1) :
1-δ ≤ 1-δ*x*r ∧ 1-δ ≤ 1+δ*x*r ∧
1/2 ≤ 1-δ*x*r ∧ 1/2 ≤ 1+δ*x*r := by
have hp := abs_product_le_one hx hr
have hlow := mul_le_mul_of_nonneg_left (abs_le.mp hp).1 hδ
have hhigh := mul_le_mul_of_nonneg_left (abs_le.mp hp).2 hδ
refine ⟨?_, ?_, ?_, ?_⟩ <;> nlinarith only [hlow,hhigh,hδsmall]
lemma weighted_square_le_half {x r : ℝ} (hx : |x| ≤ 1) (hr : |r| ≤ 1) :
x^2 * alpha r ≤ 1/2 := by
have hs := square_le_one hx
obtain ⟨ha,ha'⟩ := alpha_bounds hr
have hm := mul_le_mul_of_nonneg_right hs ha
nlinarith only [hm,ha']
lemma identity {δ X Y Z r s u v : ℝ}
(hY : Y = u*r+δ*X*alpha r) (hZ : Z = u+δ*X*beta r)
(hX : X = v*s-δ*Y*alpha s) (hZv : 1-Z = v-δ*Y*beta s) :
(u-1/2)*(1-δ*X*r)+(v-1/2)*(1+δ*Y*s) =
δ^2*(X^2*alpha r+Y^2*alpha s) := by
unfold alpha beta at *
linear_combination δ*X*hY-δ*Y*hX-hZ-hZv
theorem radial_excess_bounds {δ X Y Z r s u v : ℝ}
(hδ : 0 ≤ δ) (hδsmall : δ ≤ 1/2)
(hXb : |X| ≤ 1) (hYb : |Y| ≤ 1) (hr : |r| ≤ 1) (hs : |s| ≤ 1)
(hu : 1/2 ≤ u) (hv : 1/2 ≤ v)
(hY : Y = u*r+δ*X*alpha r) (hZ : Z = u+δ*X*beta r)
(hX : X = v*s-δ*Y*alpha s) (hZv : 1-Z = v-δ*Y*beta s) :
0 ≤ u-1/2 ∧ u-1/2 ≤ 2*δ^2 ∧ 0 ≤ v-1/2 ∧ v-1/2 ≤ 2*δ^2 := by
have hcomp := identity hY hZ hX hZv
have hwU := (weight_bounds hδ hδsmall hXb hr).2.2.1
have hwV := (weight_bounds hδ hδsmall hYb hs).2.2.2
have hA : X^2*alpha r+Y^2*alpha s ≤ 1 := by
linarith only [weighted_square_le_half hXb hr, weighted_square_le_half hYb hs]
have hsum := mul_le_mul_of_nonneg_left hA (sq_nonneg δ)
have hu0 : 0 ≤ u-1/2 := by linarith
have hv0 : 0 ≤ v-1/2 := by linarith
have hU := mul_le_mul_of_nonneg_left hwU hu0
have hV := mul_le_mul_of_nonneg_left hwV hv0
exact ⟨hu0, by nlinarith only [hcomp,hsum,hU,hV,hv0],
hv0, by nlinarith only [hcomp,hsum,hU,hV,hu0]⟩
lemma radial_coordinate_error {δ x r u y : ℝ}
(hδ : 0 ≤ δ) (hδsmall : δ ≤ 1/2)
(hx : |x| ≤ 1) (hr : |r| ≤ 1)
(hu0 : 0 ≤ u-1/2) (hu : u-1/2 ≤ 2*δ^2)
(hy : y = u*r+δ*x*alpha r) : |y-r/2| ≤ 3*δ/2 := by
obtain ⟨ha,ha'⟩ := alpha_bounds hr
have heq : y-r/2 = (u-1/2)*r+δ*x*alpha r := by rw [hy]; ring
have hfirst : |(u-1/2)*r| ≤ 2*δ^2 := by
rw [abs_mul,abs_of_nonneg hu0]
calc
(u-1/2)*|r| ≤ (u-1/2)*1 := mul_le_mul_of_nonneg_left hr hu0
_ ≤ 2*δ^2 := by simpa using hu
have hsecond : |δ*x*alpha r| ≤ δ/2 := by
rw [abs_mul,abs_mul,abs_of_nonneg hδ,abs_of_nonneg ha]
calc
δ * |x| * alpha r ≤ δ*1*(1/2) := by gcongr
_ = δ/2 := by ring
rw [heq]
have htriangle := abs_add_le ((u-1/2)*r) (δ*x*alpha r)
have hquad := mul_le_mul_of_nonneg_left hδsmall hδ
nlinarith only [htriangle,hfirst,hsecond,hquad]
theorem angular_errors {δ X Y Z r s u v : ℝ}
(hδ : 0 ≤ δ) (hδsmall : δ ≤ 1/2)
(hXb : |X| ≤ 1) (hYb : |Y| ≤ 1) (hr : |r| ≤ 1) (hs : |s| ≤ 1)
(hu : 1/2 ≤ u) (hv : 1/2 ≤ v)
(hY : Y = u*r+δ*X*alpha r) (hZ : Z = u+δ*X*beta r)
(hX : X = v*s-δ*Y*alpha s) (hZv : 1-Z = v-δ*Y*beta s) :
|Y-r/2| ≤ 3*δ/2 ∧ |X-s/2| ≤ 3*δ/2 := by
obtain ⟨hu0,hu',hv0,hv'⟩ := radial_excess_bounds hδ hδsmall hXb hYb hr hs hu hv hY hZ hX hZv
refine ⟨radial_coordinate_error hδ hδsmall hXb hr hu0 hu' hY, ?_⟩
apply radial_coordinate_error hδ hδsmall (x := -Y) (by simpa using hYb) hs hv0 hv'
nlinarith only [hX]
lemma squared_error {δ x s : ℝ} (hδ : 0 ≤ δ) (hx : |x| ≤ 1) (hs : |s| ≤ 1)
(he : |x-s/2| ≤ 3*δ/2) : x^2 ≤ s^2/4+9*δ/4 := by
have hsum : |x+s/2| ≤ 3/2 := by
calc
|x+s/2| ≤ |x|+|s/2| := abs_add_le _ _
_ ≤ 1+1/2 := by rw [abs_div]; norm_num; linarith
_ = 3/2 := by norm_num
have hprod : |(x-s/2)*(x+s/2)| ≤ (3*δ/2)*(3/2) := by
rw [abs_mul]
exact mul_le_mul he hsum (abs_nonneg _) (by positivity)
have hid : (x-s/2)*(x+s/2)=x^2-s^2/4 := by ring
rw [hid] at hprod
nlinarith only [(abs_le.mp hprod).2]
lemma monotone_profile_comparison (r s : ℝ) :
(s^2*alpha r+r^2*alpha s)/4 ≤ F r+F s := by
unfold alpha F
nlinarith only [sq_nonneg (r^2-s^2)]
theorem weighted_comparison {δ X Y r s : ℝ} (hδ : 0 ≤ δ)
(hXb : |X| ≤ 1) (hYb : |Y| ≤ 1) (hr : |r| ≤ 1) (hs : |s| ≤ 1)
(hYr : |Y-r/2| ≤ 3*δ/2) (hXs : |X-s/2| ≤ 3*δ/2) :
X^2*alpha r+Y^2*alpha s ≤ (s^2*alpha r+r^2*alpha s)/4+9*δ/4 ∧
X^2*alpha r+Y^2*alpha s ≤ F r+F s+9*δ/4 := by
obtain ⟨har,har'⟩ := alpha_bounds hr
obtain ⟨has,has'⟩ := alpha_bounds hs
have hx := mul_le_mul_of_nonneg_right (squared_error hδ hXb hs hXs) har
have hy := mul_le_mul_of_nonneg_right (squared_error hδ hYb hr hYr) has
have hsum := mul_le_mul_of_nonneg_left (add_le_add har' has') hδ
have hfirst : X^2*alpha r+Y^2*alpha s ≤
(s^2*alpha r+r^2*alpha s)/4+9*δ/4 := by nlinarith only [hx,hy,hsum]
exact ⟨hfirst, hfirst.trans (by linarith only [monotone_profile_comparison r s])⟩
theorem cubic_padding_lower {δ r s : ℝ} (hδ : 0 ≤ δ) (hδsmall : δ ≤ 1/2)
(hr : |r| ≤ 1) (hs : |s| ≤ 1) :
F r+F s+15*δ/4 ≤ (1-δ)*(F r+F s+8*δ) := by
have hrF := (profile_bounds hr).2
have hsF := (profile_bounds hs).2
have hcoef : 0 ≤ 17/4-8*δ-(F r+F s) := by linarith
have hprod := mul_nonneg hδ hcoef
nlinarith only [hprod]
theorem cubic_failure_lower {δ X Y r s u v : ℝ}
(hδ : 0 < δ) (hδsmall : δ ≤ 1/2)
(hXb : |X| ≤ 1) (hYb : |Y| ≤ 1) (hr : |r| ≤ 1) (hs : |s| ≤ 1)
(hu : cubicCap δ r < u) (hv : cubicCap δ s < v) :
δ^2*(F r+F s+15*δ/4) <
(u-1/2)*(1-δ*X*r)+(v-1/2)*(1+δ*Y*s) := by
have hδone : 0 < 1-δ := by linarith
have hFr := (profile_bounds hr).1
have hFs := (profile_bounds hs).1
have hu' : δ^2*F r+4*δ^3 < u-1/2 := by unfold cubicCap at hu; linarith
have hv' : δ^2*F s+4*δ^3 < v-1/2 := by unfold cubicCap at hv; linarith
have hcapr : 0 ≤ δ^2*F r+4*δ^3 := by positivity
have hu0 : 0 ≤ u-1/2 := hcapr.trans hu'.le
have hcaps : 0 ≤ δ^2*F s+4*δ^3 := by positivity
have hv0 : 0 ≤ v-1/2 := hcaps.trans hv'.le
have hUstrict := mul_lt_mul_of_pos_right hu' hδone
have hVstrict := mul_lt_mul_of_pos_right hv' hδone
have hUweak := mul_le_mul_of_nonneg_left (weight_bounds hδ.le hδsmall hXb hr).1 hu0
have hVweak := mul_le_mul_of_nonneg_left (weight_bounds hδ.le hδsmall hYb hs).2.1 hv0
have hpad := mul_le_mul_of_nonneg_left (cubic_padding_lower hδ.le hδsmall hr hs)
(sq_nonneg δ)
nlinarith only [hUstrict,hVstrict,hUweak,hVweak,hpad]
theorem cubic_failures_incompatible {δ X Y Z r s u v : ℝ}
(hδ : 0 < δ) (hδsmall : δ ≤ 1/2)
(hXb : |X| ≤ 1) (hYb : |Y| ≤ 1) (hr : |r| ≤ 1) (hs : |s| ≤ 1)
(hY : Y = u*r+δ*X*alpha r) (hZ : Z = u+δ*X*beta r)
(hX : X = v*s-δ*Y*alpha s) (hZv : 1-Z = v-δ*Y*beta s) :
¬ (cubicCap δ r < u ∧ cubicCap δ s < v) := by
rintro ⟨hu,hv⟩
have hFr := (profile_bounds hr).1
have hFs := (profile_bounds hs).1
have huc : 1/2 ≤ cubicCap δ r := by
have hnonneg : 0 ≤ δ^2*F r+4*δ^3 := by positivity
unfold cubicCap
linarith
have hvc : 1/2 ≤ cubicCap δ s := by
have hnonneg : 0 ≤ δ^2*F s+4*δ^3 := by positivity
unfold cubicCap
linarith
obtain ⟨hYr,hXs⟩ := angular_errors hδ.le hδsmall hXb hYb hr hs
(huc.trans hu.le) (hvc.trans hv.le) hY hZ hX hZv
have hupper := (weighted_comparison hδ.le hXb hYb hr hs hYr hXs).2
have hlower := cubic_failure_lower hδ hδsmall hXb hYb hr hs hu hv
rw [identity hY hZ hX hZv] at hlower
have hupper' := mul_le_mul_of_nonneg_left hupper (sq_nonneg δ)
have hcube : 0 < δ^3 := pow_pos hδ 3
nlinarith only [hlower,hupper',hcube]
end CylinderCovering.HalfHeightCaps.CompensationEstimates
end OAI