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import OAI.Analysis.MatrixScaling.Expansion
import OAI.Geometry.ComplexBundle.BundleIncidence
import OAI.Geometry.ComplexBundle.DirectSum
import Mathlib.Basic.Real.Basic
import Mathlib.Order.Interval.Finset.Nat
namespace OAI
noncomputable section
/-! Quantitative bundle rank margins and repeated-line replacement maps. -/
namespace Kaplansky
theorem small_incidence (m s D : ℝ) (hm : 0 < m) (hs : 0 < s)
(hsm : s ≤ m) (hD : 64*m ≤ D) :
0 < (16*s-2*s)*(D/4-2*s)-s*(D-s) ∧
133*m*s ≤ (16*s-2*s)*(D/4-2*s)-s*(D-s) := by
have h1 := mul_le_mul_of_nonneg_right hD hs.le
have h2 := mul_le_mul_of_nonneg_right hsm hs.le
have h3 : 0 < m*s := mul_pos hm hs
constructor <;> nlinarith
theorem small_rank_endpoint (m s D : ℝ) (hm : 0 < m)
(hsm : s ≤ m) (hD : 64*m ≤ D) :
2*s < D/4 ∧ D/8 ≤ D/4-2*s := by constructor <;> linarith
theorem large_incidence (m s d η : ℝ) (hm : 0 ≤ m) (hd : 0 < d)
(hms : m < s) (hsd : s ≤ d) (hη : η < (20/3)*m*d) :
2*s < (15/4)*d ∧ η < (8*s-2*s)*(15*d/4-2*s)-s*(d-s) := by
have hs : 0 < s := lt_of_le_of_lt hm hms
have h1 := mul_le_mul_of_nonneg_right hsd hs.le
have h2 := mul_lt_mul_of_pos_right hms hd
have h3 := mul_nonneg hm hd.le
constructor <;> nlinarith
theorem replacement_rank (d : ℝ) : d/4 + (15/4)*d = 4*d := by ring
theorem prefix_dimension_margin (m d₀ q : ℝ) (hm : 0 < m) (hd : 0 < d₀) :
(5/3)*m*d₀*(4*q-1) < (20/3)*m*(d₀*q) := by
nlinarith [mul_pos hm hd]
theorem retained_trivial_rank_bound (m d₀ e : ℝ) (hm : 0 < m) (hd : 0 < d₀)
(he : 0 ≤ e) : (4/3)*m*d₀*(1-e) < 2*m*d₀ := by
have h := mul_pos hm hd
have h' := mul_nonneg h.le he
nlinarith
end Kaplansky
namespace Kaplansky.Incidence
theorem fresh_incidence_dimension (m d r N s : ℕ) (hd : 0<d)
(hr : 4*r=15*d) (hN : 3*N<40*m*d) (hms : m<s) (hsd : s≤d) :
2*s≤r ∧ N+2*s*(d-s)+2*(2*s)*(r-2*s)<2*8*s*(r-2*s) := by
have hrr : (r : ℝ)=15*(d : ℝ)/4 := by
have hh : (4 : ℝ)*r=15*d := by exact_mod_cast hr
linarith
have hn : (N : ℝ)/2 < (20/3)*(m : ℝ)*d := by
have hh : (3 : ℝ)*N<40*(m : ℝ)*d := by exact_mod_cast hN
linarith
obtain ⟨hep,hgap⟩ := Kaplansky.large_incidence (m : ℝ) (s : ℝ) (d : ℝ) ((N : ℝ)/2)
(by positivity) (by exact_mod_cast hd) (by exact_mod_cast hms) (by exact_mod_cast hsd) hn
have htr : 2*s≤r := by
have hh : (2 : ℝ)*s<(r : ℝ) := by rw [hrr]; linarith
exact le_of_lt (by exact_mod_cast hh)
refine ⟨htr,?_⟩
apply (Nat.cast_lt (α := ℝ)).mp
push_cast [Nat.cast_sub hsd,Nat.cast_sub htr]
rw [hrr]
nlinarith
theorem source_incidence_dimension_iff {q d r s t h : ℕ} (hsd : s≤d) (htr : t≤r) :
((q : ℤ)*s-t)*(r-t)-(s : ℤ)*(d-s)>(h : ℤ) ↔
2*h+2*s*(d-s)+2*t*(r-t)<2*q*s*(r-t) := by
rw [← Int.ofNat_sub hsd,← Int.ofNat_sub htr]
constructor
· intro hh
have hg : ((2*h+2*s*(d-s)+2*t*(r-t) : ℕ) : ℤ) <
((2*q*s*(r-t) : ℕ) : ℤ) := by
push_cast
nlinarith
exact_mod_cast hg
· intro hh
have hg : ((2*h+2*s*(d-s)+2*t*(r-t) : ℕ) : ℤ) <
((2*q*s*(r-t) : ℕ) : ℤ) := by exact_mod_cast hh
push_cast at hg
nlinarith
end Kaplansky.Incidence
section
open Module
namespace Kaplansky.Incidence
theorem exists_sixteen_replacement_maps (m r : ℕ) (hm : 0<m) (hr : 16*m≤r) :
∃ T : MatrixTuple 16 (4*r) r, ∀ S : Submodule ℂ (Fin (4*r) → ℂ),
finrank ℂ S≤m → 2*finrank ℂ S≤
finrank ℂ (⨆ i, S.map (T i).toLinearMap : Submodule ℂ (Fin r → ℂ)) := by
let pairs : Finset (ℕ × ℕ) := (Finset.Icc 1 m).image (fun s => (s,2*s))
have hpairs : ∀ p ∈ pairs, p.1≤4*r ∧ p.2≤r ∧
p.1*(4*r-p.1)+p.2*(r-p.2)<16*p.1*(r-p.2) := by
intro p hp
obtain ⟨s,hs,rfl⟩ := Finset.mem_image.mp hp
have hs1 : 1≤s := (Finset.mem_Icc.mp hs).1
have hsm : s≤m := (Finset.mem_Icc.mp hs).2
have hsd : s≤4*r := by omega
have htr : 2*s≤r := by omega
refine ⟨hsd,htr,?_⟩
apply (point_dimension_inequality_iff (q := 16) hsd htr).mp
have hi := (Kaplansky.small_incidence (m : ℝ) (s : ℝ) (4*(r : ℝ))
(by exact_mod_cast hm) (by exact_mod_cast (show 0<s by omega)) (by exact_mod_cast hsm)
(by exact_mod_cast (show 64*m≤4*r by omega))).1
have hi' : 0<((16 : ℝ)*s-2*s)*(r-2*s)-(s : ℝ)*(4*r-s) := by
convert hi using 1; ring
exact_mod_cast hi'
obtain ⟨T,hT⟩ := exists_point_incidence_tuple pairs hpairs
refine ⟨T,fun S hS => ?_⟩
by_cases hz : finrank ℂ S=0
· simp [hz]
· have hs1 : 1≤finrank ℂ S := by omega
have hp : (finrank ℂ S,2*finrank ℂ S) ∈ pairs :=
Finset.mem_image.mpr ⟨finrank ℂ S,Finset.mem_Icc.mpr ⟨hs1,hS⟩,rfl⟩
exact (hT _ hp S rfl).le
end Kaplansky.Incidence
end
section
open Bundle Module Set
open scoped Topology Manifold ContDiff
namespace Kaplansky.Incidence
variable {X B : Type*} [NormedAddCommGroup X] [NormedSpace ℝ X]
[FiniteDimensional ℝ X] [TopologicalSpace B] [ChartedSpace X B]
[IsManifold 𝓘(ℝ,X) ∞ B] [T2Space B] [CompactSpace B]
{d r : ℕ} (E F : B → Type*)
[∀ x, NormedAddCommGroup (E x)] [∀ x, NormedSpace ℂ (E x)]
[∀ x, NormedAddCommGroup (F x)] [∀ x, NormedSpace ℂ (F x)]
[TopologicalSpace (TotalSpace (Fin d → ℂ) E)] [TopologicalSpace (TotalSpace (Fin r → ℂ) F)]
[FiberBundle (Fin d → ℂ) E] [FiberBundle (Fin r → ℂ) F]
[VectorBundle ℝ (Fin d → ℂ) E] [VectorBundle ℂ (Fin d → ℂ) E]
[VectorBundle ℝ (Fin r → ℂ) F] [VectorBundle ℂ (Fin r → ℂ) F]
[ContMDiffVectorBundle ∞ (Fin d → ℂ) E 𝓘(ℝ,X)]
[ContMDiffVectorBundle ∞ (Fin r → ℂ) F 𝓘(ℝ,X)]
theorem exists_eight_fresh_bundle_maps (m : ℕ) (hd : 0<d)
(hr : 4*r=15*d) (hbase : 3*finrank ℝ X<40*m*d) :
∃ T : Fin 8 → ∀ y, E y →L[ℂ] F y,
(∀ i, ContMDiff 𝓘(ℝ,X) (𝓘(ℝ,X).prod 𝓘(ℝ,(Fin d → ℂ) →L[ℝ] (Fin r → ℂ))) ∞
(fun y => TotalSpace.mk' ((Fin d → ℂ) →L[ℝ] (Fin r → ℂ)) y ((T i y).restrictScalars ℝ))) ∧
∀ y (S : Submodule ℂ (E y)), m<finrank ℂ S →
2*finrank ℂ S≤finrank ℂ (⨆ i, S.map (T i y).toLinearMap : Submodule ℂ (F y)) := by
classical
let pairs : Finset (ℕ × ℕ) := (Finset.Icc (m+1) d).image (fun s => (s,2*s))
have hpairs : ∀ p ∈ pairs, p.1≤d ∧ p.2≤r ∧
finrank ℝ X+2*p.1*(d-p.1)+2*p.2*(r-p.2)<2*8*p.1*(r-p.2) := by
intro p hp
obtain ⟨s,hs,rfl⟩ := Finset.mem_image.mp hp
obtain ⟨hms,hsd⟩ := Finset.mem_Icc.mp hs
obtain ⟨htr,hgap⟩ := fresh_incidence_dimension m d r (finrank ℝ X) s hd hr hbase (by omega) hsd
exact ⟨hsd,htr,hgap⟩
obtain ⟨T,hT,hExp⟩ := exists_smooth_bundle_incidence_maps E F pairs hpairs
refine ⟨T,hT,fun y S hS => ?_⟩
let e := trivializationAt (Fin d → ℂ) E y
let a := e.toPretrivialization.linearEquivAt ℂ y (mem_baseSet_trivializationAt (Fin d → ℂ) E y)
have hsd : finrank ℂ S≤d := by
have hh := (S.map a.toLinearMap).finrank_le
simpa [a.finrank_map_eq,Module.finrank_pi_fintype] using hh
have hp : (finrank ℂ S,2*finrank ℂ S) ∈ pairs :=
Finset.mem_image.mpr ⟨finrank ℂ S,Finset.mem_Icc.mpr ⟨by omega,hsd⟩,rfl⟩
exact (hExp y _ hp S rfl).le
end Kaplansky.Incidence
end
section
open scoped BigOperators
namespace Kaplansky
variable {d r n : ℕ} {L : Type*} [AddCommGroup L] [Module ℂ L]
/-- A scalar matrix tensored with the identity of a line fiber. This formula
uses only scalar multiplication, not a choice of a vector in that line. -/
def scalarTensor (T : (Fin d → ℂ) →ₗ[ℂ] (Fin r → ℂ)) :
(Fin d → L) →ₗ[ℂ] (Fin r → L) where
toFun v a := ∑ j, (T (Pi.single j 1) a) • v j
map_add' v w := by funext a; simp [smul_add,Finset.sum_add_distrib]
map_smul' c v := by
funext a
simp [Finset.smul_sum,smul_smul,mul_comm]
def lineCoordinates (e : L ≃ₗ[ℂ] ℂ) (d : ℕ) : (Fin d → L) ≃ₗ[ℂ] (Fin d → ℂ) where
toFun v j := e (v j)
invFun v j := e.symm (v j)
left_inv v := by funext j; exact e.symm_apply_apply _
right_inv v := by funext j; exact e.apply_symm_apply _
map_add' v w := by funext j; exact map_add e _ _
map_smul' c v := by funext j; exact map_smul e _ _
theorem scalarTensor_coordinates (T : (Fin d → ℂ) →ₗ[ℂ] (Fin r → ℂ))
(e : L ≃ₗ[ℂ] ℂ) (v : Fin d → L) :
lineCoordinates e r (scalarTensor T v)=T (lineCoordinates e d v) := by
classical
have hv : lineCoordinates e d v = ∑ j, e (v j) • Pi.single j 1 := by
funext j
simp [lineCoordinates,Pi.single_apply]
rw [hv,map_sum]
funext a
simp [scalarTensor,lineCoordinates,map_sum,map_smul,Finset.sum_apply,mul_comm]
theorem scalarTensor_eq_conjugate (T : (Fin d → ℂ) →ₗ[ℂ] (Fin r → ℂ))
(e : L ≃ₗ[ℂ] ℂ) :
scalarTensor T=(lineCoordinates e r).symm.toLinearMap.comp
(T.comp (lineCoordinates e d).toLinearMap) := by
apply LinearMap.ext
intro v
apply (lineCoordinates e r).injective
simpa using scalarTensor_coordinates T e v
/-- Tensoring an expanding scalar family with a line preserves expansion for
all subspaces, and the tensor maps themselves are independent of the frame. -/
theorem scalarTensor_expanding (m : ℕ) (T : Fin n → (Fin d → ℂ) →ₗ[ℂ] (Fin r → ℂ))
(e : L ≃ₗ[ℂ] ℂ) (hT : ExpandingThrough m T) :
ExpandingThrough m (fun i => scalarTensor (L := L) (T i)) := by
have h := expandingThrough_equiv m T (lineCoordinates e d).symm (lineCoordinates e r).symm hT
simpa only [LinearEquiv.symm_symm,← scalarTensor_eq_conjugate] using h
theorem exists_sixteen_line_replacement_maps (m r : ℕ) (hm : 0<m) (hr : 16*m≤r) :
∃ T : Incidence.MatrixTuple 16 (4*r) r,
∀ (L : Type*) [AddCommGroup L] [Module ℂ L] (_ : L ≃ₗ[ℂ] ℂ),
ExpandingThrough m (fun i => scalarTensor (L := L) (T i).toLinearMap) := by
obtain ⟨T,hT⟩ := Incidence.exists_sixteen_replacement_maps m r hm hr
exact ⟨T,fun L _ _ e => scalarTensor_expanding m (fun i => (T i).toLinearMap) e hT⟩
/-- Rank one is enough; the line coordinate equivalence is constructed. -/
theorem scalarTensor_expanding_rank_one [FiniteDimensional ℂ L]
(hL : Module.finrank ℂ L=1) (m : ℕ)
(T : Fin n → (Fin d → ℂ) →ₗ[ℂ] (Fin r → ℂ)) (hT : ExpandingThrough m T) :
ExpandingThrough m (fun i => scalarTensor (L := L) (T i)) := by
obtain ⟨e⟩ := (FiniteDimensional.nonempty_linearEquiv_iff_finrank_eq
(R := ℂ) (M := L) (M' := ℂ)).mpr (by simpa using hL)
exact scalarTensor_expanding m T e hT
/-- Tensoring commutes with every linear change of line coordinates. -/
theorem scalarTensor_natural {M : Type*} [AddCommGroup M] [Module ℂ M]
(T : (Fin d → ℂ) →ₗ[ℂ] (Fin r → ℂ)) (f : L →ₗ[ℂ] M) (v : Fin d → L) :
(fun a => f (scalarTensor T v a))=scalarTensor T (fun j => f (v j)) := by
funext a
simp [scalarTensor,map_sum,map_smul]
/-- The actual replacement maps on a finite sum of line-multiplicity blocks
expand correlated subspaces. Each scalar family is constructed, not assumed. -/
theorem exists_line_block_replacements (k m : ℕ) (hm : 0<m) (r : Fin k → ℕ)
(hr : ∀ j, 16*m≤r j) (L : Fin k → Type*)
[∀ j, AddCommGroup (L j)] [∀ j, Module ℂ (L j)] [∀ j, FiniteDimensional ℂ (L j)]
(hL : ∀ j, Module.finrank ℂ (L j)=1) :
∃ T : ∀ j, Incidence.MatrixTuple 16 (4*r j) (r j),
ExpandingThrough m (blockDiagonal (fun j i => scalarTensor (L := L j) (T j i).toLinearMap)) := by
choose T hT using fun j => Incidence.exists_sixteen_replacement_maps m (r j) hm (hr j)
exact ⟨T,expandingThrough_blocks k m (fun j => Fin (4*r j) → L j)
(fun j => Fin (r j) → L j) _
(fun j => scalarTensor_expanding_rank_one (hL j) m (fun i => (T j i).toLinearMap) (hT j))⟩
end Kaplansky
end
section
open Bundle Module
open scoped Topology Manifold ContDiff
namespace Kaplansky
/-- The same scalar choices work simultaneously over every base point,
including for nontrivial line bundles; fiber coordinates are not input. -/
theorem exists_uniform_line_block_replacements {B : Type*}
(k m : ℕ) (hm : 0<m) (r : Fin k → ℕ) (hr : ∀ j, 16*m≤r j)
(L : Fin k → B → Type*)
[∀ j x, AddCommGroup (L j x)] [∀ j x, Module ℂ (L j x)]
[∀ j x, FiniteDimensional ℂ (L j x)]
(hL : ∀ j x, finrank ℂ (L j x)=1) :
∃ T : ∀ j, Incidence.MatrixTuple 16 (4*r j) (r j),
∀ x, ExpandingThrough m
(blockDiagonal (fun j i => scalarTensor (L := L j x) (T j i).toLinearMap)) := by
choose T hT using fun j => Incidence.exists_sixteen_replacement_maps m (r j) hm (hr j)
exact ⟨T,fun x => expandingThrough_blocks k m (fun j => Fin (4*r j) → L j x)
(fun j => Fin (r j) → L j x) _
(fun j => scalarTensor_expanding_rank_one (hL j x) m (fun i => (T j i).toLinearMap) (hT j))⟩
variable {X H B F : Type*} [NormedAddCommGroup X] [NormedSpace ℝ X]
[FiniteDimensional ℝ X] [TopologicalSpace H] (I : ModelWithCorners ℝ X H)
[TopologicalSpace B] [ChartedSpace H B] [IsManifold I ∞ B]
[T2Space B] [CompactSpace B]
[NormedAddCommGroup F] [NormedSpace ℂ F] [FiniteDimensional ℂ F]
(E : B → Type*) [∀ x, AddCommGroup (E x)] [∀ x, Module ℂ (E x)]
[∀ x, Module ℝ (E x)] [∀ x, IsScalarTower ℝ ℂ (E x)]
[∀ x, TopologicalSpace (E x)] [TopologicalSpace (TotalSpace F E)]
[FiberBundle F E] [VectorBundle ℂ F E] [VectorBundle ℝ F E]
[ContMDiffVectorBundle ∞ F E I]
omit [FiniteDimensional ℝ X] [IsManifold I ∞ B] [T2Space B] [CompactSpace B]
[FiniteDimensional ℂ F] [∀ x, IsScalarTower ℝ ℂ (E x)] in
/-- The frame-independent tensor formula preserves smooth sections in every
output component. Thus the scalar tensor maps have the required local
smoothness; no smooth global frame for the line is assumed. -/
theorem scalarTensor_smooth_section_components {d r : ℕ}
(T : (Fin d → ℂ) →ₗ[ℂ] (Fin r → ℂ)) (s : Fin d → ∀ x, E x)
(hs : ∀ j, ContMDiff I (I.prod 𝓘(ℝ,F)) ∞
(fun x => TotalSpace.mk' F x (s j x))) (a : Fin r) :
ContMDiff I (I.prod 𝓘(ℝ,F)) ∞
(fun x => TotalSpace.mk' F x (scalarTensor T (fun j => s j x) a)) :=
sectionEvaluation_smooth I E s hs (fun j => T (Pi.single j 1) a)
end Kaplansky
end
section
open Bundle Topology
open scoped BigOperators
namespace Kaplansky
variable {B : Type*} [TopologicalSpace B] {k : ℕ}
{J : Fin k → Type*} (C : ∀ s, VectorBundleCore ℂ B ℂ (J s))
abbrev RepeatedLineModel (D : Fin k → ℕ) := EuclideanSpace ℂ (Σ s, Fin (D s))
def repeatedLineCore (D : Fin k → ℕ) := finiteLineSumCore (fun a : Σ s, Fin (D s) => C a.1)
def repeatedLineFiberEquiv (D : Fin k → ℕ) (x : B) :
(repeatedLineCore C D).Fiber x ≃ₗ[ℂ] (∀ s, Fin (D s) → (C s).Fiber x) where
toFun v s a := (show RepeatedLineModel D from v) ⟨s,a⟩
invFun v := WithLp.toLp 2 (fun a => v a.1 a.2)
left_inv _ := rfl
right_inv _ := rfl
map_add' _ _ := rfl
map_smul' _ _ := rfl
/-- The actual bundle map obtained by tensoring each scalar block with its
line identity, expressed in the finite-sum core fibers. -/
def repeatedLineMap (D E : Fin k → ℕ)
(T : ∀ s, (Fin (D s) → ℂ) →ₗ[ℂ] (Fin (E s) → ℂ)) (x : B) :
(repeatedLineCore C D).Fiber x →ₗ[ℂ] (repeatedLineCore C E).Fiber x :=
(repeatedLineFiberEquiv C E x).symm.toLinearMap.comp
((blockDiagonal (n := 1) (fun s _ => scalarTensor (L := (C s).Fiber x) (T s)) 0).comp
(repeatedLineFiberEquiv C D x).toLinearMap)
@[simp] theorem repeatedLineMap_apply (D E : Fin k → ℕ)
(T : ∀ s, (Fin (D s) → ℂ) →ₗ[ℂ] (Fin (E s) → ℂ)) (x : B)
(v : (repeatedLineCore C D).Fiber x) (s : Fin k) (b : Fin (E s)) :
(show RepeatedLineModel E from repeatedLineMap C D E T x v) ⟨s,b⟩ = ∑ a, T s (Pi.single a 1) b * (show RepeatedLineModel D from v) ⟨s,a⟩ := rfl
/-- The local chart formula is exactly the same scalar tensor expression.
In particular it contains no arbitrary choice of line frame. -/
theorem repeatedLineMap_chart (D E : Fin k → ℕ)
(T : ∀ s, (Fin (D s) → ℂ) →ₗ[ℂ] (Fin (E s) → ℂ)) (x y : B)
(v : (repeatedLineCore C D).Fiber y) (s : Fin k) (b : Fin (E s)) :
((trivializationAt (RepeatedLineModel E) (repeatedLineCore C E).Fiber x)
⟨y,repeatedLineMap C D E T y v⟩).2 ⟨s,b⟩ =
∑ a, T s (Pi.single a 1) b *
((trivializationAt (RepeatedLineModel D) (repeatedLineCore C D).Fiber x) ⟨y,v⟩).2 ⟨s,a⟩ := by
change (C s).coordChange ((C s).indexAt y) ((C s).indexAt x) y
(∑ a, T s (Pi.single a 1) b • (show RepeatedLineModel D from v) ⟨s,a⟩) = _
rw [map_sum]
apply Finset.sum_congr rfl
intro a _
exact map_smul _ _ _
/-- Componentwise smooth-section formulas alone do not establish this
claim: the map on the actual finite-sum total spaces is continuous. -/
theorem continuous_repeatedLineMap (D E : Fin k → ℕ)
(T : ∀ s, (Fin (D s) → ℂ) →ₗ[ℂ] (Fin (E s) → ℂ)) :
Continuous (fun z : TotalSpace (RepeatedLineModel D) (repeatedLineCore C D).Fiber =>
TotalSpace.mk' (RepeatedLineModel E) z.proj (repeatedLineMap C D E T z.proj z.2)) := by
apply continuous_iff_continuousAt.mpr
intro z
rw [FiberBundle.continuousAt_totalSpace]
refine ⟨(FiberBundle.continuous_proj _ _).continuousAt, ?_⟩
have hc := ((trivializationAt (RepeatedLineModel D) (repeatedLineCore C D).Fiber z.proj).continuousAt
FiberBundle.mem_trivializationAt_proj_source).snd
have hpi := (EuclideanSpace.equiv (Σ s, Fin (D s)) ℂ).continuous.continuousAt.comp hc
apply (EuclideanSpace.equiv (Σ s, Fin (E s)) ℂ).symm.continuous.continuousAt.comp
apply continuousAt_pi.mpr
rintro ⟨s,b⟩
have h : ContinuousAt (fun w : TotalSpace (RepeatedLineModel D) (repeatedLineCore C D).Fiber =>
∑ a, T s (Pi.single a 1) b *
((trivializationAt (RepeatedLineModel D) (repeatedLineCore C D).Fiber z.proj) w).2 ⟨s,a⟩) z :=
tendsto_finsetSum Finset.univ (fun a _ =>
continuousAt_const.mul ((continuous_apply (⟨s,a⟩ : Σ s, Fin (D s))).continuousAt.comp hpi))
exact h.congr (Filter.Eventually.of_forall (fun w =>
(repeatedLineMap_chart C D E T z.proj w.proj w.2 s b).symm))
end Kaplansky
end
open Bundle Topology
namespace Kaplansky
variable {B : Type*} [TopologicalSpace B] {k : ℕ}
{J : Fin k → Type*} (C : ∀ s, VectorBundleCore ℂ B ℂ (J s))
local instance (s : Fin k) (x : B) : FiniteDimensional ℂ ((C s).Fiber x) :=
inferInstanceAs (FiniteDimensional ℂ ℂ)
/-- The constructed uniform scalar choices give continuous total-space
maps on the actual bundles and expand every small fiber subspace. -/
theorem exists_continuous_repeatedLine_replacements
(m : ℕ) (hm : 0<m) (r : Fin k → ℕ) (hr : ∀ s, 16*m≤r s) :
∃ A : ∀ x, Fin 16 →
(repeatedLineCore C (fun s => 4*r s)).Fiber x →ₗ[ℂ] (repeatedLineCore C r).Fiber x,
(∀ i, Continuous (fun z : TotalSpace (RepeatedLineModel (fun s => 4*r s))
(repeatedLineCore C (fun s => 4*r s)).Fiber =>
TotalSpace.mk' (RepeatedLineModel r) z.proj (A z.proj i z.2))) ∧
∀ x, ExpandingThrough m (A x) := by
obtain ⟨T,hT⟩ := exists_uniform_line_block_replacements k m hm r hr
(fun s x => (C s).Fiber x) (fun _ _ => Module.finrank_self ℂ)
let A := fun x i => repeatedLineMap C (fun s => 4*r s) r
(fun s => (T s i).toLinearMap) x
refine ⟨A,fun i => continuous_repeatedLineMap C _ _ _,?_⟩
intro x
have h := expandingThrough_equiv m _
(repeatedLineFiberEquiv C (fun s => 4*r s) x).symm
(repeatedLineFiberEquiv C r x).symm (hT x)
exact h
end Kaplansky
end
end OAI