openAI-math-dataset / lean /OAI /GroupTheory /Thompson /AnalyticRotation.lean
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import Mathlib.Analysis.InnerProductSpace.LinearMap
import Mathlib.Analysis.Normed.Operator.Bilinear
import Mathlib.Tactic.Abel
import Mathlib.Tactic.FieldSimp
import Mathlib.Tactic.Linarith
import Mathlib.Tactic.Module
import Mathlib.Tactic.NormNum
import Mathlib.Tactic.Positivity
namespace OAI
/-!
# The rank-two rotations in the displacement construction
These are actual bounded operators on a real inner-product space. The formula
has no choice of orthogonal complement and remains valid when the two unit
vectors coincide. The estimates use the operator norm.
-/
noncomputable section
universe uE uX
namespace ThompsonNonamenability.Analytic
open scoped InnerProductSpace NNReal
variable {E : Type uE} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
/-- The skew rank-two operator associated with an ordered pair. -/
def skew (u v : E) : E →L[ℝ] E :=
(innerSL ℝ u).smulRight v - (innerSL ℝ v).smulRight u
@[simp] theorem skew_apply (u v x : E) :
skew u v x = ⟪u, x⟫_ℝ • v - ⟪v, x⟫_ℝ • u := rfl
/-- The rotation taking `u` to `v`, on the non-antipodal unit-pair domain. -/
def rotation (u v : E) : E →L[ℝ] E :=
ContinuousLinearMap.id ℝ E + skew u v +
(1 + ⟪u, v⟫_ℝ)⁻¹ • (skew u v).comp (skew u v)
theorem rotation_apply (u v x : E) :
rotation u v x = x + skew u v x +
(1 + ⟪u, v⟫_ℝ)⁻¹ • skew u v (skew u v x) := rfl
@[simp] theorem skew_self (u : E) : skew u u = 0 := by
simp [skew]
@[simp] theorem rotation_self (u : E) :
rotation u u = ContinuousLinearMap.id ℝ E := by
simp [rotation]
theorem skew_inner (u v x y : E) :
⟪skew u v x, y⟫_ℝ = -⟪x, skew u v y⟫_ℝ := by
simp only [skew_apply, inner_sub_left, inner_sub_right,
real_inner_smul_left, real_inner_smul_right]
rw [real_inner_comm v x, real_inner_comm u x]
ring
theorem rotation_apply_explicit (u v x : E)
(hu : ‖u‖ = 1) (hv : ‖v‖ = 1) :
rotation u v x = x +
(⟪u, x⟫_ℝ + (1 + ⟪u, v⟫_ℝ)⁻¹ *
(⟪u, v⟫_ℝ * ⟪u, x⟫_ℝ - ⟪v, x⟫_ℝ)) • v +
(-⟪v, x⟫_ℝ + (1 + ⟪u, v⟫_ℝ)⁻¹ *
(⟪u, v⟫_ℝ * ⟪v, x⟫_ℝ - ⟪u, x⟫_ℝ)) • u := by
have huu : ⟪u, u⟫_ℝ = 1 := by
rw [real_inner_self_eq_norm_sq, hu]; norm_num
have hvv : ⟪v, v⟫_ℝ = 1 := by
rw [real_inner_self_eq_norm_sq, hv]; norm_num
simp only [rotation_apply, skew_apply, inner_sub_right,
real_inner_smul_right, huu, hvv, real_inner_comm u v]
module
theorem rotation_apply_self (u v : E)
(hu : ‖u‖ = 1) (hv : ‖v‖ = 1) (hκ : 0 ≤ ⟪u, v⟫_ℝ) :
rotation u v u = v := by
have huu : ⟪u, u⟫_ℝ = 1 := by
rw [real_inner_self_eq_norm_sq, hu]; norm_num
have hd : 1 + ⟪u, v⟫_ℝ ≠ 0 := by linarith
rw [rotation_apply_explicit u v u hu hv, huu, real_inner_comm u v]
match_scalars <;> field_simp [hd] <;> ring
theorem rotation_inner (u v : E)
(hu : ‖u‖ = 1) (hv : ‖v‖ = 1) (hκ : 0 ≤ ⟪u, v⟫_ℝ)
(x y : E) :
⟪rotation u v x, rotation u v y⟫_ℝ = ⟪x, y⟫_ℝ := by
have huu : ⟪u, u⟫_ℝ = 1 := by
rw [real_inner_self_eq_norm_sq, hu]; norm_num
have hvv : ⟪v, v⟫_ℝ = 1 := by
rw [real_inner_self_eq_norm_sq, hv]; norm_num
have hd : 1 + ⟪u, v⟫_ℝ ≠ 0 := by linarith
rw [rotation_apply_explicit u v x hu hv,
rotation_apply_explicit u v y hu hv]
simp only [inner_add_left, inner_add_right, real_inner_smul_left,
real_inner_smul_right, huu, hvv, real_inner_comm u v,
real_inner_comm u x, real_inner_comm v x]
field_simp [hd]
ring
theorem rotation_norm (u v : E)
(hu : ‖u‖ = 1) (hv : ‖v‖ = 1) (hκ : 0 ≤ ⟪u, v⟫_ℝ)
(x : E) : ‖rotation u v x‖ = ‖x‖ := by
rw [norm_eq_sqrt_real_inner, rotation_inner u v hu hv hκ,
← norm_eq_sqrt_real_inner]
theorem norm_rotation_le_one (u v : E)
(hu : ‖u‖ = 1) (hv : ‖v‖ = 1) (hκ : 0 ≤ ⟪u, v⟫_ℝ) :
‖rotation u v‖ ≤ 1 := by
apply ContinuousLinearMap.opNorm_le_bound _ zero_le_one
intro x
rw [rotation_norm u v hu hv hκ, one_mul]
theorem norm_rotation (u v : E)
(hu : ‖u‖ = 1) (hv : ‖v‖ = 1) (hκ : 0 ≤ ⟪u, v⟫_ℝ) :
‖rotation u v‖ = 1 := by
apply le_antisymm (norm_rotation_le_one u v hu hv hκ)
have h := (rotation u v).le_opNorm u
rw [rotation_norm u v hu hv hκ, hu, mul_one] at h
exact h
theorem rotation_inner_swap (u v x y : E) :
⟪rotation u v x, y⟫_ℝ = ⟪x, rotation v u y⟫_ℝ := by
have hs (z : E) : skew v u z = -skew u v z := by
simp only [skew_apply]
module
simp only [rotation_apply, inner_add_left, inner_add_right,
real_inner_smul_left, real_inner_smul_right, skew_inner,
hs, map_neg, inner_neg_right, neg_neg, real_inner_comm u v]
theorem rotation_reverse_apply (u v : E)
(hu : ‖u‖ = 1) (hv : ‖v‖ = 1) (hκ : 0 ≤ ⟪u, v⟫_ℝ)
(x : E) : rotation v u (rotation u v x) = x := by
apply ext_inner_right ℝ
intro y
rw [rotation_inner_swap, rotation_inner u v hu hv hκ]
theorem rotation_surjective (u v : E)
(hu : ‖u‖ = 1) (hv : ‖v‖ = 1) (hκ : 0 ≤ ⟪u, v⟫_ℝ) :
Function.Surjective (rotation u v) := by
intro x
refine ⟨rotation v u x, ?_⟩
exact rotation_reverse_apply v u hv hu
(by simpa only [real_inner_comm u v] using hκ) x
def rankOne (u v : E) : E →L[ℝ] E := (innerSL ℝ u).smulRight v
/-- The operator polynomial used in the rank-two rotation formula. -/
def rotationPolynomial (A : E →L[ℝ] E) (c : ℝ) : E →L[ℝ] E :=
ContinuousLinearMap.id ℝ E + A + c • A.comp A
@[simp] lemma norm_rankOne (u v : E) : ‖rankOne u v‖ = ‖u‖ * ‖v‖ := by
simp only [rankOne, ContinuousLinearMap.norm_smulRight_apply, innerSL_apply_norm]
lemma rankOne_sub (u v u' v' : E) :
rankOne u v - rankOne u' v' =
rankOne (u - u') v + rankOne u' (v - v') := by
ext x
simp only [rankOne, sub_apply, add_apply,
ContinuousLinearMap.smulRight_apply, innerSL_apply_apply, inner_sub_left,
sub_smul, smul_sub]
abel
lemma norm_rankOne_sub_le (u v u' v' : E) :
‖rankOne u v - rankOne u' v'‖ ≤
‖u - u'‖ * ‖v‖ + ‖u'‖ * ‖v - v'‖ := by
rw [rankOne_sub]
simpa only [norm_rankOne] using
norm_add_le (rankOne (u - u') v) (rankOne u' (v - v'))
lemma norm_skew_le_two (u v : E) (hu : ‖u‖ = 1) (hv : ‖v‖ = 1) :
‖skew u v‖ ≤ 2 := by
calc
‖skew u v‖ ≤ ‖rankOne u v‖ + ‖rankOne v u‖ := norm_sub_le _ _
_ = 2 := by simp only [norm_rankOne, hu, hv]; norm_num
lemma norm_skew_sub_le (u v u' v' : E)
(hu : ‖u‖ = 1) (hv : ‖v‖ = 1) (hu' : ‖u'‖ = 1) (hv' : ‖v'‖ = 1) :
‖skew u v - skew u' v'‖ ≤ 2 * (‖u - u'‖ + ‖v - v'‖) := by
have heq : skew u v - skew u' v' =
(rankOne u v - rankOne u' v') - (rankOne v u - rankOne v' u') := by
unfold skew rankOne
abel
have h₁ := norm_rankOne_sub_le u v u' v'
have h₂ := norm_rankOne_sub_le v u v' u'
rw [hv, hu', mul_one, one_mul] at h₁
rw [hu, hv', mul_one, one_mul] at h₂
rw [heq]
calc
_ ≤ ‖rankOne u v - rankOne u' v'‖ + ‖rankOne v u - rankOne v' u'‖ :=
norm_sub_le _ _
_ ≤ (‖u - u'‖ + ‖v - v'‖) + (‖v - v'‖ + ‖u - u'‖) :=
add_le_add h₁ h₂
_ = 2 * (‖u - u'‖ + ‖v - v'‖) := by ring
lemma inner_sub_inner_le (u v u' v' : E) (hv : ‖v‖ = 1) (hu' : ‖u'‖ = 1) :
|⟪u, v⟫_ℝ - ⟪u', v'⟫_ℝ| ≤ ‖u - u'‖ + ‖v - v'‖ := by
have heq : ⟪u, v⟫_ℝ - ⟪u', v'⟫_ℝ =
⟪u - u', v⟫_ℝ + ⟪u', v - v'⟫_ℝ := by
rw [inner_sub_left, inner_sub_right]
ring
calc
|⟪u, v⟫_ℝ - ⟪u', v'⟫_ℝ| =
‖⟪u - u', v⟫_ℝ + ⟪u', v - v'⟫_ℝ‖ := by
rw [heq, Real.norm_eq_abs]
_ ≤ ‖⟪u - u', v⟫_ℝ‖ + ‖⟪u', v - v'⟫_ℝ‖ := norm_add_le _ _
_ ≤ ‖u - u'‖ * ‖v‖ + ‖u'‖ * ‖v - v'‖ :=
add_le_add (norm_inner_le_norm _ _) (norm_inner_le_norm _ _)
_ = ‖u - u'‖ + ‖v - v'‖ := by rw [hv, hu', mul_one, one_mul]
lemma inverse_one_add_bounds (κ : ℝ) (hκ : 0 ≤ κ) :
0 ≤ (1 + κ)⁻¹ ∧ (1 + κ)⁻¹ ≤ 1 := by
constructor
· exact inv_nonneg.mpr (by linarith)
· exact inv_le_one_of_one_le₀ (by linarith)
lemma inverse_one_add_difference (κ κ' d : ℝ)
(hκ : 0 ≤ κ) (hκ' : 0 ≤ κ') (h : |κ - κ'| ≤ d) :
|(1 + κ)⁻¹ - (1 + κ')⁻¹| ≤ d := by
have hp : 0 < 1 + κ := by linarith
have hp' : 0 < 1 + κ' := by linarith
have hsub : (1 + κ') - (1 + κ) = κ' - κ := by ring
calc
|(1 + κ)⁻¹ - (1 + κ')⁻¹|
= |κ - κ'| / ((1 + κ) * (1 + κ')) := by
rw [inv_sub_inv (ne_of_gt hp) (ne_of_gt hp'), abs_div,
abs_of_pos (mul_pos hp hp'), hsub, abs_sub_comm κ' κ]
_ ≤ |κ - κ'| :=
div_le_self (abs_nonneg _) (by nlinarith [mul_nonneg hκ hκ'])
_ ≤ d := h
-- This lemma is independent of the rank-two construction.
lemma norm_rotationPolynomial_sub_le (A B : E →L[ℝ] E) (c c' d : ℝ)
(hd : 0 ≤ d) (hA : ‖A‖ ≤ 2) (hB : ‖B‖ ≤ 2)
(hAB : ‖A - B‖ ≤ 2 * d) (hcc' : |c - c'| ≤ d)
(hc' : |c'| ≤ 1) :
‖rotationPolynomial A c - rotationPolynomial B c'‖ ≤ 14 * d := by
have hAA : ‖A.comp A‖ ≤ 4 := by
calc
‖A.comp A‖ ≤ ‖A‖ * ‖A‖ := A.opNorm_comp_le A
_ ≤ 2 * 2 := mul_le_mul hA hA (norm_nonneg _) (by norm_num)
_ = 4 := by norm_num
have h2d : 0 ≤ 2 * d := mul_nonneg (by norm_num) hd
have hsquare : A.comp A - B.comp B = (A - B).comp A + B.comp (A - B) := by
rw [ContinuousLinearMap.sub_comp, ContinuousLinearMap.comp_sub]
abel
have hsq : ‖A.comp A - B.comp B‖ ≤ 8 * d := by
rw [hsquare]
calc
_ ≤ ‖(A - B).comp A‖ + ‖B.comp (A - B)‖ := norm_add_le _ _
_ ≤ ‖A - B‖ * ‖A‖ + ‖B‖ * ‖A - B‖ :=
add_le_add ((A - B).opNorm_comp_le A) (B.opNorm_comp_le (A - B))
_ ≤ (2 * d) * 2 + 2 * (2 * d) :=
add_le_add (mul_le_mul hAB hA (norm_nonneg _) h2d)
(mul_le_mul hB hAB (norm_nonneg _) (by norm_num))
_ = 8 * d := by ring
have hcoeff : ‖(c - c') • A.comp A‖ ≤ 4 * d := by
calc
‖(c - c') • A.comp A‖ ≤ |c - c'| * ‖A.comp A‖ := by
simpa only [Real.norm_eq_abs] using
ContinuousLinearMap.opNorm_smul_le (c - c') (A.comp A)
_ ≤ d * 4 := mul_le_mul hcc' hAA (norm_nonneg _) hd
_ = 4 * d := by ring
have hquadratic : ‖c' • (A.comp A - B.comp B)‖ ≤ 8 * d := by
calc
‖c' • (A.comp A - B.comp B)‖ ≤ |c'| * ‖A.comp A - B.comp B‖ := by
simpa only [Real.norm_eq_abs] using
ContinuousLinearMap.opNorm_smul_le c' (A.comp A - B.comp B)
_ ≤ 1 * (8 * d) := mul_le_mul hc' hsq (norm_nonneg _) (by norm_num)
_ = 8 * d := one_mul _
have hsplit : rotationPolynomial A c - rotationPolynomial B c' =
(A - B) + ((c - c') • A.comp A + c' • (A.comp A - B.comp B)) := by
unfold rotationPolynomial
rw [sub_smul, smul_sub]
abel
rw [hsplit]
calc
_ ≤ ‖A - B‖ + ‖(c - c') • A.comp A + c' • (A.comp A - B.comp B)‖ :=
norm_add_le _ _
_ ≤ ‖A - B‖ + (‖(c - c') • A.comp A‖ + ‖c' • (A.comp A - B.comp B)‖) :=
add_le_add le_rfl (norm_add_le _ _)
_ ≤ 2 * d + (4 * d + 8 * d) := add_le_add hAB (add_le_add hcoeff hquadratic)
_ = 14 * d := by ring
lemma norm_rotation_sub_le (u v u' v' : E)
(hu : ‖u‖ = 1) (hv : ‖v‖ = 1) (hu' : ‖u'‖ = 1) (hv' : ‖v'‖ = 1)
(hκ : 0 ≤ ⟪u, v⟫_ℝ) (hκ' : 0 ≤ ⟪u', v'⟫_ℝ) :
‖rotation u v - rotation u' v'‖ ≤ 14 * (‖u - u'‖ + ‖v - v'‖) := by
have hc' := inverse_one_add_bounds (⟪u', v'⟫_ℝ) hκ'
apply norm_rotationPolynomial_sub_le
· exact add_nonneg (norm_nonneg _) (norm_nonneg _)
· exact norm_skew_le_two u v hu hv
· exact norm_skew_le_two u' v' hu' hv'
· exact norm_skew_sub_le u v u' v' hu hv hu' hv'
· exact inverse_one_add_difference _ _ _ hκ hκ' (inner_sub_inner_le u v u' v' hv hu')
· rw [abs_of_nonneg hc'.1]
exact hc'.2
/-- Lipschitz dependence of the actual operators on two unit-vector families. -/
theorem rotation_lipschitzWith {X : Type uX} [PseudoMetricSpace X]
(u v : X → E) {Ku Kv : ℝ≥0}
(hu : ∀ x, ‖u x‖ = 1) (hv : ∀ x, ‖v x‖ = 1)
(hκ : ∀ x, 0 ≤ ⟪u x, v x⟫_ℝ)
(hLu : LipschitzWith Ku u) (hLv : LipschitzWith Kv v) :
LipschitzWith (14 * (Ku + Kv)) (fun x => rotation (u x) (v x)) := by
apply LipschitzWith.of_dist_le_mul
intro x y
rw [dist_eq_norm]
have hu' : ‖u x - u y‖ ≤ (Ku : ℝ) * dist x y := by
simpa only [dist_eq_norm] using hLu.dist_le_mul x y
have hv' : ‖v x - v y‖ ≤ (Kv : ℝ) * dist x y := by
simpa only [dist_eq_norm] using hLv.dist_le_mul x y
calc
‖rotation (u x) (v x) - rotation (u y) (v y)‖
≤ 14 * (‖u x - u y‖ + ‖v x - v y‖) :=
norm_rotation_sub_le _ _ _ _ (hu x) (hv x) (hu y) (hv y) (hκ x) (hκ y)
_ ≤ 14 * ((Ku : ℝ) * dist x y + (Kv : ℝ) * dist x y) :=
mul_le_mul_of_nonneg_left (add_le_add hu' hv') (by norm_num)
_ = (14 * (Ku + Kv) : ℝ≥0) * dist x y := by
push_cast
ring
theorem rotation_lipschitzWith_238 {X : Type uX} [PseudoMetricSpace X]
(u v : X → E)
(hu : ∀ x, ‖u x‖ = 1) (hv : ∀ x, ‖v x‖ = 1)
(hκ : ∀ x, 0 ≤ ⟪u x, v x⟫_ℝ)
(hLu : LipschitzWith 16 u) (hLv : LipschitzWith 1 v) :
LipschitzWith 238 (fun x => rotation (u x) (v x)) := by
convert rotation_lipschitzWith u v hu hv hκ hLu hLv using 1 ; norm_num
end ThompsonNonamenability.Analytic
end
end OAI