openAI-math-dataset / lean /OAI /Analysis /ForestSpace /ModulusProofs.lean
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import OAI.Analysis.ForestSpace.Moduli
import OAI.Analysis.ForestSpace.Projections
namespace OAI
open scoped BigOperators
open Finset
namespace ForestSpace
noncomputable section
attribute [local instance] Classical.propDecidable
section ModulusDefinitions
variable (E : Type) [NormedAddCommGroup E] [NormedSpace ℝ E]
variable {E}
theorem cofinite_nontrivial (hI : ¬FiniteDimensional ℝ E) (F : Cofinite E) :
Nontrivial F.val := by
apply not_subsingleton_iff_nontrivial.mp
intro hss
let := hss
let : FiniteDimensional ℝ F.val := Module.Finite.of_injective
(0 : F.val →ₗ[ℝ] ℝ) (fun _ _ _ => Subsingleton.elim _ _)
let : FiniteDimensional ℝ (E ⧸ F.val) := F.property.2
exact hI (Module.Finite.of_submodule_quotient F.val)
theorem cofinite_exists_unit (hI : ¬FiniteDimensional ℝ E) (F : Cofinite E) :
∃ y : E, y ∈ F.val ∧ ‖y‖ = 1 := by
let := cofinite_nontrivial hI F
obtain ⟨y,hy⟩ := exists_norm_eq F.val zero_le_one
exact ⟨y,y.property,hy⟩
theorem cofiniteKernel {G : Type} [NormedAddCommGroup G] [NormedSpace ℝ G]
[FiniteDimensional ℝ G] (f : E →L[ℝ] G) :
IsClosed (f.toLinearMap.ker : Set E) ∧ FiniteDimensional ℝ (E ⧸ f.toLinearMap.ker) := by
exact ⟨f.isClosed_ker, Module.Finite.equiv f.toLinearMap.quotKerEquivRange.symm⟩
theorem averageValues_nonempty (hI : ¬FiniteDimensional ℝ E)
(t : ℝ) (x : E) (F : Cofinite E) : (averageValues E norm t x F).Nonempty := by
obtain ⟨y,hy,hyn⟩ := cofinite_exists_unit hI F
exact ⟨_,y,hy,hyn,rfl⟩
theorem averageValues_bddBelow (t : ℝ) (x : E) (F : Cofinite E) :
BddBelow (averageValues E norm t x F) := by
refine ⟨-1, ?_⟩
rintro a ⟨y,hy,hyn,rfl⟩
linarith [norm_nonneg (x+t•y),norm_nonneg (x-t•y)]
theorem averageInner_le (hI : ¬FiniteDimensional ℝ E)
{t : ℝ} (ht : 0 ≤ t) {x : E} (hx : ‖x‖ = 1) (F : Cofinite E) :
averageInner E norm t x F ≤ t := by
obtain ⟨y,hy,hyn⟩ := cofinite_exists_unit hI F
have hp := norm_add_le x (t•y)
have hm := norm_sub_le x (t•y)
rw [hx,norm_smul,Real.norm_of_nonneg ht,hyn,mul_one] at hp hm
have hh : averageInner E norm t x F ≤ (‖x+t•y‖+‖x-t•y‖)/2-1 :=
csInf_le (averageValues_bddBelow t x F) ⟨y,hy,hyn,rfl⟩
linarith
theorem averageCenter_bddAbove (hI : ¬FiniteDimensional ℝ E)
{t : ℝ} (ht : 0 ≤ t) {x : E} (hx : ‖x‖ = 1) :
BddAbove (Set.range (averageInner E norm t x)) := by
exact ⟨t, fun a ⟨F,hF⟩ => hF ▸ averageInner_le hI ht hx F⟩
/-- A quantitative subspace formulation implies the literal inf-sup-inf bound.
The nonempty-inner-sphere and bounded-supremum details are explicit. -/
theorem averageModulus_lower_of_subspaces (hI : ¬FiniteDimensional ℝ E)
{t L : ℝ} (ht : 0 ≤ t)
(h : ∀ x : E, ‖x‖ = 1 → ∀ ε : ℝ, 0 < ε → ∃ F : Cofinite E,
∀ y : E, y ∈ F.val → ‖y‖ = 1 → L-ε ≤ (‖x+t•y‖+‖x-t•y‖)/2-1) :
L ≤ averageModulus E norm t := by
have hunit : ∃ x : E, ‖x‖ = 1 := by
obtain ⟨x,hx,hxn⟩ := cofinite_exists_unit hI (cofiniteTop E)
exact ⟨x,hxn⟩
apply le_csInf
· obtain ⟨x,hx⟩ := hunit
exact ⟨_,x,hx,rfl⟩
· rintro a ⟨x,hx,rfl⟩
apply le_of_forall_pos_le_add
intro ε hε
obtain ⟨F,hF⟩ := h x hx ε hε
have hb : L-ε ≤ averageInner E norm t x F := by
apply le_csInf (averageValues_nonempty hI t x F)
rintro b ⟨y,hy,hyn,rfl⟩
exact hF y hy hyn
have hs : averageInner E norm t x F ≤ averageCenter E norm t x :=
le_csSup (averageCenter_bddAbove hI ht hx) ⟨F,rfl⟩
linarith
end ModulusDefinitions
section ForestModulus
variable {V : Type} [PartialOrder V]
theorem sqrt_perturbation {a b δ : ℝ} (ha : 0 ≤ a) (hb : 0 ≤ b) (hδ : 0 ≤ δ)
(h1 : 1 ≤ a+δ) : Real.sqrt (1+b) ≤ Real.sqrt (a^2+b)+δ := by
have hs := Real.sq_sqrt (show 0 ≤ a^2+b by positivity)
have has : a ≤ Real.sqrt (a^2+b) := (Real.le_sqrt ha (show 0 ≤ a^2+b by positivity)).mpr (by linarith)
apply Real.sqrt_le_iff.mpr
constructor
· positivity
· nlinarith [mul_nonneg hδ (sub_nonneg.mpr has), sq_nonneg (a+δ-1)]
theorem pair_perturbation {E : Type} [NormedAddCommGroup E] [NormedSpace ℝ E]
(x a y : E) (b : ℝ) (hb : 0 ≤ b) (hx : ‖x‖ = 1)
(hpair : Real.sqrt (‖a‖^2+b) ≤ (‖a+y‖+‖a-y‖)/2) :
Real.sqrt (1+b) ≤ (‖x+y‖+‖x-y‖)/2+2*‖x-a‖ := by
let δ : ℝ := ‖x-a‖
have hc : 1 ≤ ‖a‖+δ := by
have hh := norm_add_le a (x-a)
have he : a+(x-a) = x := by abel
rw [he, hx] at hh
exact hh
have hroot := sqrt_perturbation (norm_nonneg a) hb (norm_nonneg (x-a)) hc
have hp : ‖a+y‖ ≤ ‖x+y‖+δ := by
have hh := norm_sub_le (x+y) (x-a)
have he : x+y-(x-a) = a+y := by abel
rwa [he] at hh
have hm : ‖a-y‖ ≤ ‖x-y‖+δ := by
have hh := norm_sub_le (x-y) (x-a)
have he : x-y-(x-a) = a-y := by abel
rwa [he] at hh
change Real.sqrt (1+b) ≤ (‖x+y‖+‖x-y‖)/2+2*δ
linarith
theorem forest_average_head (hF : ForestOrder V) (hAnc : ∀ v : V, (Set.Iic v).Finite)
(H : Finset V) (hH : IsLowerSet (H : Set V)) (x y : X V)
(hx : ‖x‖ = 1) (hy : y ∈ (finiteCoordinates H).toLinearMap.ker)
(hyn : ‖y‖ = 1) (t : ℝ) (ht : 0 ≤ t) :
Real.sqrt (1+t^2/12) ≤ (‖x+t•y‖+‖x-t•y‖)/2+2*‖x-PX H hH x‖ := by
have hy' := annihilates_of_mem_ker_coordinates H hH hy
have hpair := paired_estimate hF hAnc (H : Set V) hH
(P (H : Set V) hH x) (t • (y : FullDual V))
(annihilates_P (H : Set V) hH x) (hy'.smul t)
have hyn' : ‖(y : FullDual V)‖ = 1 := hyn
rw [norm_smul, Real.norm_of_nonneg ht, hyn', mul_one] at hpair
have hh := pair_perturbation (x : FullDual V) (P (H : Set V) hH x)
(t • (y : FullDual V)) (t^2/12) (by positivity) hx hpair
exact hh
/-- The midpoint bound for every coordinate-completion forest,
using the averaged signed excess rather than its maximum. -/
theorem forest_average_modulus [Infinite V]
(hF : ForestOrder V) (hAnc : ∀ v : V, (Set.Iic v).Finite)
(t : ℝ) (ht : 0 < t) :
Real.sqrt (1+t^2/12)-1 ≤ averageModulus (X V) norm t := by
apply averageModulus_lower_of_subspaces (E := X V) (not_finiteDimensional_X (V := V)) ht.le
intro x hx ε hε
obtain ⟨H,hH,hclose⟩ := exists_head_approx hAnc x (ε/4) (by positivity)
let F : Cofinite (X V) := ⟨(finiteCoordinates H).toLinearMap.ker,
(finiteCoordinates H).isClosed_ker, finiteCoordinates_kernel_finite H⟩
refine ⟨F, ?_⟩
intro y hy hyn
have hh := forest_average_head hF hAnc H hH x y hx hy hyn t ht.le
linarith
end ForestModulus
end
end ForestSpace
end OAI