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import OAI.Geometry.HarmonicGrowth.Attainment
import OAI.Geometry.HarmonicGrowth.EndpointBounds
namespace OAI
noncomputable section
open scoped Topology
open NormedSpace Module Filter
namespace HarmonicCounterexample.FiniteControl
variable {A : Type*} [NormedRing A] [NormedAlgebra ℝ A] [CompleteSpace A]
attribute [local instance 100] LieRing.ofAssociativeRing
local instance : NormedAlgebra ℚ A := NormedAlgebra.restrictScalars ℚ ℝ A
def expUnit (x : A) : Aˣ := (NormedSpace.isUnit_exp x).unit
@[simp] lemma expUnit_val (x : A) : (expUnit x : A)=NormedSpace.exp x :=
(NormedSpace.isUnit_exp x).unit_spec
lemma expUnit_inv_val (x : A) : ((expUnit x)⁻¹ : Aˣ).val = NormedSpace.exp (-x) := by
rw [← Ring.inverse_exp,← expUnit_val,Ring.inverse_unit]
def adjoint (h : Aˣ) : A →ₗ[ℝ] A where
toFun X := (h:A)*X*(h⁻¹:Aˣ).val
map_add' X Y := by simp only [mul_add,add_mul]
map_smul' c X := by simp only [mul_smul_comm,smul_mul_assoc,RingHom.id_apply]
omit [CompleteSpace A] in
@[simp] lemma adjoint_apply (h : Aˣ) (X : A) :
adjoint h X=(h:A)*X*(h⁻¹:Aˣ).val := rfl
omit [CompleteSpace A] in
@[simp] lemma adjoint_one (X : A) : adjoint 1 X=X := by simp [adjoint]
omit [CompleteSpace A] in
lemma adjoint_mul (h k : Aˣ) (X : A) : adjoint (h*k) X=adjoint h (adjoint k X) := by
simp only [adjoint_apply,mul_inv_rev,Units.val_mul]
noncomm_ring
omit [CompleteSpace A] in
lemma adjoint_lie (h : Aˣ) (X Y : A) :
adjoint h ⁅X,Y⁆=⁅adjoint h X,adjoint h Y⁆ := by
simp only [adjoint_apply,Ring.lie_def,mul_sub,sub_mul,mul_assoc]
simp only [← mul_assoc (h⁻¹:Aˣ).val (h:A),Units.inv_mul,one_mul]
lemma adjoint_exp_deriv (X Y : A) :
HasDerivAt (fun t : ℝ => adjoint (expUnit (t • X)) Y) ⁅X,Y⁆ 0 := by
have hp : HasDerivAt (fun t : ℝ => NormedSpace.exp (t • X)) X 0 := by
simpa only [zero_smul,NormedSpace.exp_zero,one_mul] using hasDerivAt_exp_smul_const X (0:ℝ)
have hm : HasDerivAt (fun t : ℝ => NormedSpace.exp (t • (-X))) (-X) 0 := by
simpa only [zero_smul,NormedSpace.exp_zero,one_mul] using hasDerivAt_exp_smul_const (-X) (0:ℝ)
convert (hp.mul_const Y).mul hm using 1 <;> first | rfl |
simp only [adjoint_apply,expUnit_val,expUnit_inv_val,smul_neg,zero_smul,
NormedSpace.exp_zero,mul_one,one_mul,mul_neg,neg_zero,Ring.lie_def,sub_eq_add_neg] <;> rfl
omit [CompleteSpace A] in
lemma deriv_mem_submodule [FiniteDimensional ℝ A] (S : Submodule ℝ A)
{f : ℝ → A} {f' : A} {t : ℝ} (hf : HasDerivAt f f' t) (hS : ∀ t,f t ∈ S) : f' ∈ S := by
apply S.closed_of_finiteDimensional.mem_of_tendsto hf.tendsto_slope
exact Filter.Eventually.of_forall (fun u => S.smul_mem _ (S.sub_mem (hS u) (hS t)))
end HarmonicCounterexample.FiniteControl
end
noncomputable section
open scoped Topology
open NormedSpace Module Filter
namespace HarmonicCounterexample.FiniteControl
open NormedSpace Module
variable {A κ : Type*} [NormedRing A] [NormedAlgebra ℝ A] [CompleteSpace A]
attribute [local instance 100] LieRing.ofAssociativeRing
def reachable (g : κ → A) : Subgroup Aˣ :=
Subgroup.closure (Set.range (fun p : κ × ℝ => expUnit (p.2 • g p.1)))
def adjointSpan (g : κ → A) : Submodule ℝ A :=
Submodule.span ℝ {x | ∃ h ∈ reachable g,∃ k,x=adjoint h (g k)}
lemma generator_mem_adjointSpan (g : κ → A) (k : κ) : g k ∈ adjointSpan g :=
Submodule.subset_span ⟨1,(reachable g).one_mem,k,(adjoint_one _).symm⟩
lemma adjoint_mem_adjointSpan (g : κ → A) {h : Aˣ} (hh : h ∈ reachable g)
{X : A} (hX : X ∈ adjointSpan g) : adjoint h X ∈ adjointSpan g := by
induction hX using Submodule.span_induction with
| mem x hx =>
obtain ⟨k,hk,i,rfl⟩ := hx
exact Submodule.subset_span ⟨h*k,(reachable g).mul_mem hh hk,i,(adjoint_mul h k (g i)).symm⟩
| zero => rw [map_zero]; exact (adjointSpan g).zero_mem
| add x y _ _ hx hy => rw [map_add]; exact (adjointSpan g).add_mem hx hy
| smul c x _ hx => rw [map_smul]; exact (adjointSpan g).smul_mem c hx
lemma generator_lie_adjointSpan [FiniteDimensional ℝ A] (g : κ → A) (k : κ)
{X : A} (hX : X ∈ adjointSpan g) : ⁅g k,X⁆ ∈ adjointSpan g := by
apply deriv_mem_submodule (adjointSpan g) (adjoint_exp_deriv (g k) X)
intro t
exact adjoint_mem_adjointSpan g
(Subgroup.subset_closure (Set.mem_range_self (k,t))) hX
omit [CompleteSpace A] in
lemma adjoint_inv_cancel (h : Aˣ) (X : A) : adjoint h (adjoint h⁻¹ X)=X := by
rw [← adjoint_mul,mul_inv_cancel,adjoint_one]
lemma adjointSpan_lie_mem [FiniteDimensional ℝ A] (g : κ → A)
{X Y : A} (hX : X ∈ adjointSpan g) (hY : Y ∈ adjointSpan g) :
⁅X,Y⁆ ∈ adjointSpan g := by
induction hX using Submodule.span_induction with
| mem x hx =>
obtain ⟨h,hh,k,rfl⟩ := hx
have hz := adjoint_mem_adjointSpan g ((reachable g).inv_mem hh) hY
have hb := generator_lie_adjointSpan g k hz
have hc := adjoint_mem_adjointSpan g hh hb
rw [adjoint_lie,adjoint_inv_cancel] at hc
exact hc
| zero => simpa only [zero_lie] using (adjointSpan g).zero_mem
| add x y _ _ hx hy => rw [add_lie]; exact (adjointSpan g).add_mem hx hy
| smul c x _ hx => rw [smul_lie]; exact (adjointSpan g).smul_mem c hx
/-- Differentiating ACTUAL reachable conjugations, in a closed finite
-dimensional span, proves the spanning assertion used for finite words. -/
theorem lieSpan_le_adjointSpan [FiniteDimensional ℝ A] (g : κ → A) :
(LieSubalgebra.lieSpan ℝ A (Set.range g)).toSubmodule ≤ adjointSpan g := by
let E : LieSubalgebra ℝ A :=
{ adjointSpan g with lie_mem' := adjointSpan_lie_mem g }
have h : LieSubalgebra.lieSpan ℝ A (Set.range g) ≤ E := by
apply LieSubalgebra.lieSpan_le.2
rintro _ ⟨k,rfl⟩
exact generator_mem_adjointSpan g k
exact h
end HarmonicCounterexample.FiniteControl
end
noncomputable section
open scoped Topology
open NormedSpace Module Filter
namespace HarmonicCounterexample.FiniteControl
variable {A κ : Type*} [NormedRing A] [NormedAlgebra ℝ A] [CompleteSpace A]
/-- A finite basis of actual reachable conjugates, as opposed to abstract
iterated brackets or a closure of the reachable subgroup. -/
theorem exists_adjoint_basis [FiniteDimensional ℝ A] (g : κ → A) :
∃ (d : ℕ) (b : Module.Basis (Fin d) ℝ (adjointSpan g)),
∀ i,∃ (h : Aˣ),h ∈ reachable g ∧ ∃ k,(b i : A)=adjoint h (g k) := by
classical
let S : Set A := {x | ∃ h ∈ reachable g,∃ k,x=adjoint h (g k)}
let inc : S → adjointSpan g := fun x => ⟨x.val,Submodule.subset_span x.property⟩
have hs : (⊤ : Submodule ℝ (adjointSpan g)) ≤
Submodule.span ℝ (Set.range inc) := by
apply le_of_eq
symm
apply (Submodule.span_range_subtype_eq_top_iff (adjointSpan g)
(fun x : S => Submodule.subset_span x.property)).2
simp only [Subtype.range_coe_subtype,Set.ofPred_mem_eq]
rfl
let B := Set.range inc
let ι : Type _ := ↥((linearIndepOn_empty ℝ (id : adjointSpan g → adjointSpan g)).extend
(Set.empty_subset B))
let b : Module.Basis ι ℝ (adjointSpan g) := Module.Basis.ofSpan hs
let := FiniteDimensional.fintypeBasisIndex b
let e := Fintype.equivFin ι
refine ⟨Fintype.card ι,b.reindex e,?_⟩
intro i
have hi := Module.Basis.ofSpan_subset hs (Set.mem_range_self (e.symm i))
obtain ⟨x,hx⟩ := hi
have heq : ((b.reindex e) i : A)=x.val := by
simpa only [Module.Basis.reindex_apply,inc,b] using congrArg Subtype.val hx.symm
rw [heq]
exact x.property
end HarmonicCounterexample.FiniteControl
end
noncomputable section
open scoped Topology
open NormedSpace Module Filter
namespace HarmonicCounterexample.FiniteControl
open ContinuousLinearMap NormedSpace
variable {A : Type*} [NormedRing A] [NormedAlgebra ℝ A] [CompleteSpace A]
lemma strict_deriv_conjugate [FiniteDimensional ℝ A] {d : ℕ}
(h : Aˣ) (X : A) (i : Fin d) :
HasStrictFDerivAt (fun t : Fin d → ℝ => adjoint h (NormedSpace.exp (t i • X)))
((ContinuousLinearMap.proj i : (Fin d → ℝ) →L[ℝ] ℝ).smulRight (adjoint h X)) 0 := by
have he : HasStrictFDerivAt (fun s : ℝ => NormedSpace.exp (s • X))
((1 : ℝ →L[ℝ] ℝ).smulRight X) 0 := by
simpa only [zero_smul,NormedSpace.exp_zero,one_smul] using
hasStrictFDerivAt_exp_smul_const (𝕂:=ℝ) X (0:ℝ)
have hp := he.comp (0 : Fin d → ℝ) (ContinuousLinearMap.proj i : (Fin d → ℝ) →L[ℝ] ℝ).hasStrictFDerivAt
convert (adjoint h).toContinuousLinearMap.hasStrictFDerivAt.comp (0 : Fin d → ℝ) hp using 1 <;>
ext t <;> simp
omit [CompleteSpace A] in
@[simp] lemma adjoint_unit (h : Aˣ) : adjoint h (1:A)=1 := by
simp [adjoint]
omit [NormedAlgebra ℝ A] [CompleteSpace A] in
lemma prod_at_zero {E ι : Type*} [Zero E] (l : List ι) (f : ι → E → A)
(h0 : ∀ i,f i 0=1) : (l.map (fun i => f i 0)).prod=1 := by
induction l with
| nil => rfl
| cons i l ih => rw [List.map_cons,List.prod_cons,h0,ih,mul_one]
omit [CompleteSpace A] in
lemma strict_deriv_identity_product {E ι : Type*}
[NormedAddCommGroup E] [NormedSpace ℝ E] (l : List ι)
(f : ι → E → A) (f' : ι → E →L[ℝ] A)
(h0 : ∀ i,f i 0=1) (hf : ∀ i,HasStrictFDerivAt (f i) (f' i) 0) :
HasStrictFDerivAt (fun t => (l.map (fun i => f i t)).prod)
(l.map f').sum 0 := by
induction l with
| nil => simpa only [List.map_nil,List.prod_nil,List.sum_nil] using hasStrictFDerivAt_const (𝕜:=ℝ) (1:A) (0:E)
| cons i l ih =>
convert (hf i).fun_mul' ih using 1
· ext t
simp only [List.map_cons,List.prod_cons]
· rw [h0,prod_at_zero l f h0]
ext t
simp [add_comm]
/-- The finite conjugation word has the required exact differential, calculated
in the actual Banach algebra, not postulated as a control hypothesis. -/
theorem conjugate_word_differential [FiniteDimensional ℝ A] {d : ℕ}
(h : Fin d → Aˣ) (X : Fin d → A) :
HasStrictFDerivAt
(fun t : Fin d → ℝ => ((List.finRange d).map
(fun i => adjoint (h i) (NormedSpace.exp (t i • X i)))).prod)
(∑ i : Fin d,(ContinuousLinearMap.proj i : (Fin d → ℝ) →L[ℝ] ℝ).smulRight (adjoint (h i) (X i))) 0 := by
have he := strict_deriv_identity_product (List.finRange d)
(fun i (t : Fin d → ℝ) => adjoint (h i) (NormedSpace.exp (t i • X i)))
(fun i => (ContinuousLinearMap.proj i : (Fin d → ℝ) →L[ℝ] ℝ).smulRight (adjoint (h i) (X i)))
(by intro i; simp)
(fun i => strict_deriv_conjugate (h i) (X i) i)
simpa only [← List.ofFn_eq_map,List.sum_ofFn] using he
end HarmonicCounterexample.FiniteControl
end
noncomputable section
open scoped Topology
open NormedSpace Module Filter
namespace HarmonicCounterexample.FiniteControl
open ContinuousLinearMap NormedSpace
open scoped ContDiff
variable {A κ : Type*} [NormedRing A] [NormedAlgebra ℝ A] [CompleteSpace A]
def conjugateWord {d : ℕ} (h : Fin d → Aˣ) (X : Fin d → A) (t : Fin d → ℝ) : A :=
((List.finRange d).map (fun i => adjoint (h i) (NormedSpace.exp (t i • X i)))).prod
omit [CompleteSpace A] in
@[simp] lemma conjugateWord_zero {d : ℕ} (h : Fin d → Aˣ) (X : Fin d → A) :
conjugateWord h X 0 = 1 := by
unfold conjugateWord
exact prod_at_zero (List.finRange d)
(fun i (t : Fin d → ℝ) => adjoint (h i) (NormedSpace.exp (t i • X i)))
(by intro i; simp)
lemma conjugateWord_smooth [FiniteDimensional ℝ A] {d : ℕ}
(h : Fin d → Aˣ) (X : Fin d → A) : ContDiff ℝ ∞ (conjugateWord h X) := by
have he : ContDiff ℝ ∞ (NormedSpace.exp : A → A) :=
contDiff_iff_contDiffAt.2 (fun x => (NormedSpace.exp_analytic (𝕂:=ℝ) x).contDiffAt)
have hi (i : Fin d) : ContDiff ℝ ∞ (fun t : Fin d → ℝ =>
adjoint (h i) (NormedSpace.exp (t i • X i))) :=
(adjoint (h i)).toContinuousLinearMap.contDiff.comp (he.comp ((ContinuousLinearMap.proj i : (Fin d → ℝ) →L[ℝ] ℝ).contDiff.smul contDiff_const))
unfold conjugateWord
induction List.finRange d with
| nil => simpa only [List.map_nil,List.prod_nil] using (contDiff_const (c:=(1:A)))
| cons i l ih => simpa only [List.map_cons,List.prod_cons] using (hi i).mul ih
/-- The ACTUAL finite word assembled from reachable conjugates has an
invertible differential onto its adjoint span. If Lie generation is full this
is exactly the finite-word submersion at the group identity. -/
theorem exists_word_submersion [FiniteDimensional ℝ A] (g : κ → A) :
∃ (d : ℕ) (h : Fin d → Aˣ) (k : Fin d → κ)
(e : (Fin d → ℝ) ≃L[ℝ] (adjointSpan g)),
(∀ i,h i ∈ reachable g) ∧
d=Module.finrank ℝ (adjointSpan g) ∧
ContDiff ℝ ∞ (conjugateWord h (g ∘ k)) ∧
HasStrictFDerivAt (conjugateWord h (g ∘ k))
((adjointSpan g).subtypeL.comp (e : (Fin d → ℝ) →L[ℝ] (adjointSpan g))) 0 := by
classical
obtain ⟨d,b,hb⟩ := exists_adjoint_basis g
choose h hh k hk using hb
let e : (Fin d → ℝ) ≃L[ℝ] adjointSpan g := b.equivFun.symm.toContinuousLinearEquiv
refine ⟨d,h,k,e,hh,?_,conjugateWord_smooth h (g ∘ k),?_⟩
· simpa only [Fintype.card_fin] using (Module.finrank_eq_card_basis b).symm
· have hd : (adjointSpan g).subtypeL.comp (e : (Fin d → ℝ) →L[ℝ] adjointSpan g) =
∑ i : Fin d,(ContinuousLinearMap.proj i : (Fin d → ℝ) →L[ℝ] ℝ).smulRight
(adjoint (h i) (g (k i))) := by
ext t
simp only [ContinuousLinearMap.comp_apply,_root_.sum_apply,
ContinuousLinearMap.smulRight_apply,ContinuousLinearMap.proj_apply]
change ↑(b.equivFun.symm t) = ∑ i,t i • adjoint (h i) (g (k i))
rw [Module.Basis.equivFun_symm_apply]
simp only [Submodule.coe_sum,Submodule.coe_smul,hk]
rw [hd]
exact conjugate_word_differential h (g ∘ k)
end HarmonicCounterexample.FiniteControl
end
noncomputable section
open scoped Topology
open NormedSpace Module Filter
namespace HarmonicCounterexample.FiniteControl
open ContinuousLinearMap Filter Set
variable {A κ : Type*} [NormedRing A] [NormedAlgebra ℝ A] [CompleteSpace A]
def conjugateWordUnit {d : ℕ} (h : Fin d → Aˣ) (X : Fin d → A) (t : Fin d → ℝ) : Aˣ :=
((List.finRange d).map (fun i => h i * expUnit (t i • X i) * (h i)⁻¹)).prod
lemma conjugateWordUnit_val {d : ℕ} (h : Fin d → Aˣ) (X : Fin d → A) (t : Fin d → ℝ) :
(conjugateWordUnit h X t : A) = conjugateWord h X t := by
unfold conjugateWordUnit conjugateWord
rw [← Units.coeHom_apply,map_list_prod,List.map_map]
congr 1
lemma conjugateWordUnit_mem (g : κ → A) {d : ℕ} (h : Fin d → Aˣ)
(hh : ∀ i,h i ∈ reachable g) (k : Fin d → κ) (t : Fin d → ℝ) :
conjugateWordUnit h (g ∘ k) t ∈ reachable g := by
apply Subgroup.list_prod_mem
intro x hx
obtain ⟨i,_,rfl⟩ := List.mem_map.1 hx
exact (reachable g).mul_mem ((reachable g).mul_mem (hh i)
(Subgroup.subset_closure (Set.mem_range_self (k i,t i)))) ((reachable g).inv_mem (hh i))
/-- Full linear span is promoted to an ACTUAL open reachable subgroup by the
strict inverse/submersion theorem. No topological closure of reachability is used. -/
theorem reachable_open_of_adjointSpan_top [FiniteDimensional ℝ A] (g : κ → A)
(hfull : adjointSpan g=⊤) : IsOpen (reachable g : Set Aˣ) := by
obtain ⟨d,h,k,e,hh,_,_,hd⟩ := exists_word_submersion g
have hsurj : Function.Surjective
((adjointSpan g).subtypeL.comp (e : (Fin d → ℝ) →L[ℝ] adjointSpan g)) := by
intro x
have hx : x ∈ adjointSpan g := by rw [hfull]; trivial
exact ⟨e.symm ⟨x,hx⟩,by simp⟩
have himage : conjugateWord h (g ∘ k) '' Set.univ ∈ (𝓝 (1:A)) := by
rw [← conjugateWord_zero h (g ∘ k),← hd.map_nhds_eq_of_surj
(LinearMap.range_eq_top.2 hsurj)]
exact Filter.image_mem_map Filter.univ_mem
apply (reachable g).isOpen_of_mem_nhds (g:=1)
have hpre : Units.val ⁻¹' (conjugateWord h (g ∘ k) '' Set.univ) ∈ 𝓝 (1:Aˣ) :=
(Units.continuous_val.continuousAt (x := (1:Aˣ))).preimage_mem_nhds himage
apply Filter.mem_of_superset hpre
intro u hu
obtain ⟨t,_,ht⟩ := hu
have he : conjugateWordUnit h (g ∘ k) t = u := by
apply Units.ext
rw [conjugateWordUnit_val,ht]
rw [← he]
exact conjugateWordUnit_mem g h hh k t
attribute [local instance 100] LieRing.ofAssociativeRing
theorem reachable_open_of_lieSpan_top [FiniteDimensional ℝ A] (g : κ → A)
(hfull : LieSubalgebra.lieSpan ℝ A (Set.range g)=⊤) : IsOpen (reachable g : Set Aˣ) := by
apply reachable_open_of_adjointSpan_top g
apply top_le_iff.1
simpa only [hfull,LieSubalgebra.top_toSubmodule] using lieSpan_le_adjointSpan g
end HarmonicCounterexample.FiniteControl
end
noncomputable section
open scoped Topology
open NormedSpace Module Filter
namespace HarmonicCounterexample.FiniteControl
variable {A κ : Type*} [NormedRing A] [NormedAlgebra ℝ A] [CompleteSpace A]
lemma expUnit_neg (x : A) : expUnit (-x)=(expUnit x)⁻¹ := by
apply Units.ext
simp only [expUnit_val,expUnit_inv_val]
lemma reachable_has_word (g : κ → A) {h : Aˣ} (hh : h ∈ reachable g) :
∃ l : List (κ × ℝ), (l.map (fun p => expUnit (p.2 • g p.1))).prod=h := by
induction hh using Subgroup.closure_induction with
| mem h hh =>
obtain ⟨p,rfl⟩ := hh
exact ⟨[p],by simp⟩
| one => exact ⟨[],rfl⟩
| mul x y _ _ hx hy =>
obtain ⟨l,rfl⟩ := hx
obtain ⟨m,rfl⟩ := hy
exact ⟨l++m,by simp⟩
| inv x _ hx =>
obtain ⟨l,rfl⟩ := hx
refine ⟨(l.map (fun p => (p.1,-p.2))).reverse,?_⟩
rw [List.prod_inv_reverse,List.map_reverse,List.map_map]
simp only [List.map_map]
congr 2
apply List.map_congr_left
intro p _
simp only [Function.comp_apply,neg_smul,expUnit_neg]
lemma word_reachable (g : κ → A) (l : List (κ × ℝ)) :
(l.map (fun p => expUnit (p.2 • g p.1))).prod ∈ reachable g := by
apply Subgroup.list_prod_mem
intro x hx
obtain ⟨p,_,rfl⟩ := List.mem_map.1 hx
exact Subgroup.subset_closure (Set.mem_range_self p)
end HarmonicCounterexample.FiniteControl
end
noncomputable section
open scoped Topology
open NormedSpace Module Filter
namespace HarmonicCounterexample.FiniteControl
open Matrix Matrix.SpecialLinearGroup
variable {ι F : Type*} [Fintype ι] [DecidableEq ι] [Field F]
lemma single_product (i j k l : ι) (a b : F) :
single i j a * single k l b = if j=k then single i l (a*b) else 0 := by
split_ifs with h
· subst k; exact single_mul_single_same a i j l b
· exact single_mul_single_of_ne a i j k h b
lemma diag2n_decompose {i j : ι} (hij : i ≠ j) (a : F) (ha : a ≠ 0) :
diag2n hij a ha = transvection hij a * transvection hij.symm (-a⁻¹) *
transvection hij a * transvection hij (-1) * transvection hij.symm 1 *
transvection hij (-1) := by
apply Subtype.ext
simp only [coe_mul,transvection_coe,diag2n_coe]
simp only [mul_add,add_mul,one_mul,mul_one,single_product,hij,hij.symm,ite_false,ite_true,add_zero]
ext k l
by_cases hki : k=i <;> by_cases hkj : k=j <;> by_cases hli : l=i <;> by_cases hlj : l=j
all_goals subst_vars
all_goals simp_all [diagonal_apply,single,one_apply,eq_comm]
/-- Every real or arbitrary-field special-linear matrix has a finite elementary
transvection word. This avoids assuming polar decomposition or connectedness. -/
lemma transvection_induction [Nontrivial ι] (P : Matrix.SpecialLinearGroup ι F → Prop)
(htransvec : ∀ (i j : ι) (hij : i ≠ j) (a : F),P (transvection hij a))
(hmul : ∀ A B,P A → P B → P (A*B)) (M : Matrix.SpecialLinearGroup ι F) : P M := by
apply diagonal_transvection_induction' P M _ htransvec hmul
intro i j hij a ha
rw [diag2n_decompose hij a ha]
exact hmul _ _ (hmul _ _ (hmul _ _ (hmul _ _ (hmul _ _
(htransvec i j hij a) (htransvec j i hij.symm (-a⁻¹)))
(htransvec i j hij a)) (htransvec i j hij (-1)))
(htransvec j i hij.symm 1)) (htransvec i j hij (-1))
end HarmonicCounterexample.FiniteControl
end
noncomputable section
open scoped Topology
open NormedSpace Module Filter
namespace HarmonicCounterexample.FiniteControl
open Matrix Matrix.SpecialLinearGroup
variable {ι : Type*} [Fintype ι] [DecidableEq ι]
lemma continuous_transvection {i j : ι} (hij : i ≠ j) :
Continuous (fun a : ℝ => transvection hij a) := by
apply continuous_induced_rng.2
change Continuous (fun a : ℝ => (1 : Matrix ι ι ℝ)+single i j a)
apply continuous_const.add
apply continuous_pi
intro k
apply continuous_pi
intro l
simp only [single,Matrix.of_apply]
split_ifs <;> fun_prop
lemma joined_transvection {i j : ι} (hij : i ≠ j) (a : ℝ) :
Joined (1 : Matrix.SpecialLinearGroup ι ℝ) (transvection hij a) := by
simpa using (PathConnectedSpace.joined (0:ℝ) a).map (continuous_transvection hij)
lemma sl_joined_one [Nontrivial ι] (M : Matrix.SpecialLinearGroup ι ℝ) :
Joined 1 M := by
apply transvection_induction (fun M => Joined 1 M) _ _ M
· intro i j hij a
exact joined_transvection hij a
· intro A B hA hB
simpa using hA.mul hB
/-- Actual path connectedness of every nontrivial real special linear group,
proved by finite elementary operations, without any polar decomposition axiom. -/
theorem sl_pathConnected [Nontrivial ι] : PathConnectedSpace (Matrix.SpecialLinearGroup ι ℝ) := by
constructor
· exact ⟨1⟩
· intro A B
exact (sl_joined_one A).symm.trans (sl_joined_one B)
end HarmonicCounterexample.FiniteControl
end
noncomputable section
open scoped Topology
open NormedSpace Module Filter
namespace HarmonicCounterexample.FiniteControl
open Matrix
open scoped Matrix.Norms.Frobenius
variable {β κ : Type*} [Fintype β] {ι : β → Type*}
[∀ b,Fintype (ι b)] [∀ b,DecidableEq (ι b)]
abbrev MatrixProduct (ι : β → Type*) [∀ b,Fintype (ι b)] := ∀ b,Matrix (ι b) (ι b) ℝ
def centralMatrix (c : β → ℝ) : MatrixProduct ι := fun b => c b • 1
omit [Fintype β] in
@[simp] lemma centralMatrix_zero : centralMatrix (ι:=ι) 0=0 := by
funext b; exact zero_smul ℝ _
omit [Fintype β] in
lemma centralMatrix_add (c d : β → ℝ) : centralMatrix (ι:=ι) (c+d)=centralMatrix c+centralMatrix d := by
funext b; exact add_smul _ _ _
omit [Fintype β] in
lemma centralMatrix_neg (c : β → ℝ) : centralMatrix (ι:=ι) (-c) = -centralMatrix c := by
funext b; exact neg_smul _ _
omit [Fintype β] in
lemma centralMatrix_commute (c : β → ℝ) (X : MatrixProduct ι) : Commute (centralMatrix c) X := by
show centralMatrix c*X=X*centralMatrix c
funext b
simp only [Pi.mul_apply,centralMatrix,smul_mul_assoc,one_mul,mul_smul_comm,mul_one]
lemma expUnit_add_commute {A : Type*} [NormedRing A] [NormedAlgebra ℝ A] [CompleteSpace A]
(X Y : A) (h : Commute X Y) : expUnit (X+Y)=expUnit X*expUnit Y := by
let : NormedAlgebra ℚ A := NormedAlgebra.restrictScalars ℚ ℝ A
apply Units.ext
simp only [expUnit_val,Units.val_mul,NormedSpace.exp_add_of_commute h]
lemma central_expUnit_commute (c : β → ℝ) (u : (MatrixProduct ι)ˣ) :
Commute (expUnit (centralMatrix c)) u := by
apply Units.val_injective
exact (centralMatrix_commute c (u : MatrixProduct ι)).exp_left.eq
def augmented (g : κ → MatrixProduct ι) : (κ ⊕ (β → ℝ)) → MatrixProduct ι :=
Sum.elim g centralMatrix
attribute [local instance 100] LieRing.ofAssociativeRing
omit [Fintype β] in
lemma augmented_lieSpan_top [∀ b,Nonempty (ι b)] (g : κ → MatrixProduct ι)
(hfull : ∀ X : MatrixProduct ι,(∀ b,(X b).trace=0) →
X ∈ LieSubalgebra.lieSpan ℝ _ (Set.range g)) :
LieSubalgebra.lieSpan ℝ _ (Set.range (augmented g))=⊤ := by
apply top_le_iff.1
intro X _
let c : β → ℝ := fun b => (X b).trace/(Fintype.card (ι b):ℝ)
have htrace : ∀ b,(X b-centralMatrix (ι:=ι) c b).trace=0 := by
intro b
simp only [centralMatrix,Matrix.trace_sub,Matrix.trace_smul,Matrix.trace_one,smul_eq_mul,c]
rw [div_mul_cancel₀ _ (Nat.cast_ne_zero.2 (Fintype.card_ne_zero)) ,sub_self]
have hinc : LieSubalgebra.lieSpan ℝ _ (Set.range g) ≤
LieSubalgebra.lieSpan ℝ _ (Set.range (augmented g)) := by
apply LieSubalgebra.lieSpan_mono
rintro _ ⟨k,rfl⟩
exact ⟨Sum.inl k,rfl⟩
have hc : centralMatrix (ι:=ι) c ∈ LieSubalgebra.lieSpan ℝ _ (Set.range (augmented g)) :=
LieSubalgebra.subset_lieSpan (Set.mem_range_self (Sum.inr c))
convert
(LieSubalgebra.lieSpan ℝ _ (Set.range (augmented g))).add_mem
(hinc (hfull (X-centralMatrix c) htrace)) hc using 1
ext b i j; simp
lemma augmented_reachable_split (g : κ → MatrixProduct ι)
{u : (MatrixProduct ι)ˣ} (hu : u ∈ reachable (augmented g)) :
∃ c : β → ℝ,∃ v ∈ reachable g,u=expUnit (centralMatrix c)*v := by
induction hu using Subgroup.closure_induction with
| mem u hu =>
obtain ⟨⟨k,t⟩,rfl⟩ := hu
cases k with
| inl k =>
refine ⟨0,expUnit (t • g k),Subgroup.subset_closure (Set.mem_range_self (k,t)),?_⟩
apply Units.ext
simp [augmented,expUnit_val]
| inr c =>
refine ⟨t • c,1,(reachable g).one_mem,?_⟩
rw [mul_one]
change expUnit (t • centralMatrix c)=expUnit (centralMatrix (t • c))
congr 1
funext b
simp [centralMatrix,smul_smul]
| one =>
refine ⟨0,1,(reachable g).one_mem,?_⟩
apply Units.ext
simp [expUnit_val]
| mul u v _ _ hu hv =>
obtain ⟨c,u,hu,rfl⟩ := hu
obtain ⟨d,v,hv,rfl⟩ := hv
refine ⟨c+d,u*v,(reachable g).mul_mem hu hv,?_⟩
rw [centralMatrix_add,expUnit_add_commute _ _ (centralMatrix_commute _ _)]
have hc := (central_expUnit_commute d u).eq
calc
(expUnit (centralMatrix c)*u)*(expUnit (centralMatrix d)*v) =
expUnit (centralMatrix c)*(u*expUnit (centralMatrix d))*v := by group
_ = (expUnit (centralMatrix c)*expUnit (centralMatrix d))*(u*v) := by rw [← hc]; group
| inv u _ hu =>
obtain ⟨c,v,hv,rfl⟩ := hu
refine ⟨-c,v⁻¹,(reachable g).inv_mem hv,?_⟩
rw [centralMatrix_neg,expUnit_neg,_root_.mul_inv_rev]
exact ((central_expUnit_commute c v).inv_inv).eq.symm
/-- The ordinary product of REAL SL groups has a continuous genuine embedding
into units of the product matrix algebra. -/
def slProductToUnits : (∀ b,Matrix.SpecialLinearGroup (ι b) ℝ) →* (MatrixProduct ι)ˣ where
toFun M :=
{ val := fun b => (M b : Matrix (ι b) (ι b) ℝ)
inv := fun b => ((M b)⁻¹ : Matrix.SpecialLinearGroup (ι b) ℝ)
val_inv := by funext b; exact (Matrix.SpecialLinearGroup.toGL (M b)).val_inv
inv_val := by funext b; exact (Matrix.SpecialLinearGroup.toGL (M b)).inv_val }
map_one' := by apply Units.ext; rfl
map_mul' _ _ := by apply Units.ext; rfl
omit [Fintype β] in
lemma slProductToUnits_continuous : Continuous (slProductToUnits (ι:=ι)) := by
rw [Units.continuous_iff]
constructor
· exact continuous_pi (fun b => continuous_subtype_val.comp (continuous_apply b))
· change Continuous (fun M : ∀ b,Matrix.SpecialLinearGroup (ι b) ℝ =>
fun b => ((M b)⁻¹ : Matrix.SpecialLinearGroup (ι b) ℝ).val)
exact continuous_pi (fun b => continuous_subtype_val.comp ((continuous_apply b).inv))
end HarmonicCounterexample.FiniteControl
end
noncomputable section
open scoped Topology
open NormedSpace Module Filter
open scoped Topology
namespace HarmonicCounterexample.FiniteControl
open Matrix
variable {ι : Type*} [Fintype ι] [DecidableEq ι]
def detMultilinear : ContinuousMultilinearMap ℝ (fun _ : ι => ι → ℝ) ℝ :=
⟨Matrix.detRowAlternating.toMultilinearMap,continuous_id.matrix_det⟩
lemma hasDerivAt_det {f : ℝ → Matrix ι ι ℝ} {f' : Matrix ι ι ℝ} {t : ℝ}
(hf : ∀ i,HasDerivAt (fun s => f s i) (f' i) t) :
HasDerivAt (fun s => (f s).det) (∑ i,(Matrix.updateRow (f t) i (f' i)).det) t := by
have h := (detMultilinear (ι:=ι)).hasFDerivAt (f t) |>.comp_hasDerivAt t
(hasDerivAt_pi.2 hf)
erw [ContinuousMultilinearMap.linearDeriv_apply] at h
exact h
lemma hasDerivAt_det_leftODE {f : ℝ → Matrix ι ι ℝ} {X : Matrix ι ι ℝ} {t : ℝ}
(hf : ∀ i,HasDerivAt (fun s => f s i) ((X*f t) i) t) :
HasDerivAt (fun s => (f s).det) (X.trace*(f t).det) t := by
convert hasDerivAt_det hf using 1
rw [Matrix.trace,Finset.sum_mul]
apply Finset.sum_congr rfl
intro i _
have he : (X*f t) i=∑ j,X i j • f t j := by ext k; simp [Matrix.mul_apply]
rw [he,Matrix.det_updateRow_sum]
rfl
open scoped Matrix.Norms.Frobenius in
lemma hasDerivAt_exp_row (X : Matrix ι ι ℝ) (t : ℝ) (i : ι) :
HasDerivAt (fun s : ℝ => NormedSpace.exp (s • X) i)
((X*NormedSpace.exp (t • X)) i) t := by
let row : Matrix ι ι ℝ →ₗ[ℝ] (ι → ℝ) :=
{ toFun M := M i, map_add' _ _ := rfl, map_smul' _ _ := rfl }
have h := row.toContinuousLinearMap.hasFDerivAt.comp_hasDerivAt t
(hasDerivAt_exp_smul_const X t)
have hc : Commute (t • X) X := by
show (t • X)*X=X*(t • X)
rw [smul_mul_assoc,mul_smul_comm]
erw [hc.exp_left.eq] at h
exact h
lemma hasDerivAt_det_exp (X : Matrix ι ι ℝ) (t : ℝ) :
HasDerivAt (fun s : ℝ => (NormedSpace.exp (s • X)).det)
(X.trace*(NormedSpace.exp (t • X)).det) t :=
hasDerivAt_det_leftODE (hasDerivAt_exp_row X t)
/-- Liouville's formula for the ACTUAL real matrix exponential. -/
theorem matrix_det_exp (X : Matrix ι ι ℝ) :
(NormedSpace.exp X).det=Real.exp X.trace := by
let f : ℝ → ℝ := fun t => (NormedSpace.exp (t • X)).det*Real.exp (-t*X.trace)
have hf (t : ℝ) : HasDerivAt f 0 t := by
have he : HasDerivAt (fun s : ℝ => Real.exp (-s*X.trace))
(Real.exp (-t*X.trace)*(-X.trace)) t := by
convert (((hasDerivAt_id t).neg).mul_const X.trace).exp using 1 <;> simp
convert (hasDerivAt_det_exp X t).mul he using 1
first | rfl | ring
have h := is_const_of_deriv_eq_zero (fun t => (hf t).differentiableAt)
(fun t => (hf t).deriv) 1 0
change (NormedSpace.exp ((1:ℝ) • X)).det*Real.exp (-1*X.trace)=
(NormedSpace.exp ((0:ℝ) • X)).det*Real.exp (-0*X.trace) at h
simp only [one_smul,zero_smul,NormedSpace.exp_zero,Matrix.det_one,neg_zero,
zero_mul,Real.exp_zero,mul_one,neg_mul,one_mul,Real.exp_neg] at h
exact (mul_inv_eq_iff_eq_mul₀ (Real.exp_pos X.trace).ne').1 h |>.trans (one_mul _)
end HarmonicCounterexample.FiniteControl
end
noncomputable section
open scoped Topology
open NormedSpace Module Filter
open scoped Topology
namespace HarmonicCounterexample.FiniteControl
open Matrix
open scoped Matrix.Norms.Frobenius
attribute [local instance 100] LieRing.ofAssociativeRing
variable {β κ : Type*} [Fintype β] {ι : β → Type*}
[∀ b,Fintype (ι b)] [∀ b,DecidableEq (ι b)]
lemma reachable_tracefree_det (g : κ → MatrixProduct ι)
(hg : ∀ k b,(g k b).trace=0) {u : (MatrixProduct ι)ˣ} (hu : u ∈ reachable g) :
∀ b,((u : MatrixProduct ι) b).det=1 := by
induction hu using Subgroup.closure_induction with
| mem u hu =>
obtain ⟨⟨k,t⟩,rfl⟩ := hu
intro b
simp only [expUnit_val,Pi.coe_exp,Pi.smul_apply]
erw [matrix_det_exp]
rw [Matrix.trace_smul,hg,smul_zero,Real.exp_zero]
| one => intro b; exact Matrix.det_one
| mul u v _ _ hu hv =>
intro b
change ((u : MatrixProduct ι) b*(v : MatrixProduct ι) b).det=1
rw [Matrix.det_mul,hu,hv,mul_one]
| inv u _ hu =>
intro b
have h := congrArg (fun X : MatrixProduct ι => (X b).det) u.val_inv
change ((u : MatrixProduct ι) b*((u⁻¹ : (MatrixProduct ι)ˣ) : MatrixProduct ι) b).det=(1 : Matrix (ι b) (ι b) ℝ).det at h
rw [Matrix.det_mul,hu,one_mul,Matrix.det_one] at h
exact h
lemma slProduct_augmented_reachable [∀ b,Nontrivial (ι b)]
(g : κ → MatrixProduct ι)
(hfull : ∀ X : MatrixProduct ι,(∀ b,(X b).trace=0) →
X ∈ LieSubalgebra.lieSpan ℝ _ (Set.range g))
(M : ∀ b,Matrix.SpecialLinearGroup (ι b) ℝ) :
slProductToUnits M ∈ reachable (augmented g) := by
let : ∀ b,PathConnectedSpace (Matrix.SpecialLinearGroup (ι b) ℝ) :=
fun b => sl_pathConnected
let S : OpenSubgroup (MatrixProduct ι)ˣ :=
⟨reachable (augmented g),reachable_open_of_lieSpan_top _ (augmented_lieSpan_top g hfull)⟩
let T := S.comap slProductToUnits slProductToUnits_continuous
have he : (T : Set (∀ b,Matrix.SpecialLinearGroup (ι b) ℝ))=Set.univ :=
T.isClopen.eq_univ ⟨1,T.one_mem⟩
have hm : M ∈ (T : Set (∀ b,Matrix.SpecialLinearGroup (ι b) ℝ)) := by rw [he]; trivial
exact hm
/-- Lie generation of the actual trace-free product implies exact finite-word
reachability in the genuine product of real special-linear groups. The proof
uses ambient submersion only; central augmentation is eliminated by determinants. -/
theorem slProduct_reachable [∀ b,Nontrivial (ι b)]
(g : κ → MatrixProduct ι) (hg : ∀ k b,(g k b).trace=0)
(hfull : ∀ X : MatrixProduct ι,(∀ b,(X b).trace=0) →
X ∈ LieSubalgebra.lieSpan ℝ _ (Set.range g))
(M : ∀ b,Matrix.SpecialLinearGroup (ι b) ℝ) :
slProductToUnits M ∈ reachable g := by
obtain ⟨c,v,hv,he⟩ := augmented_reachable_split g (slProduct_augmented_reachable g hfull M)
have hc : c=0 := by
funext b
have hd := congrArg (fun u : (MatrixProduct ι)ˣ => ((u : MatrixProduct ι) b).det) he
change (M b).val.det=(((expUnit (centralMatrix (ι:=ι) c) : MatrixProduct ι) b)*
((v : MatrixProduct ι) b)).det at hd
rw [(M b).property,Matrix.det_mul,reachable_tracefree_det g hg hv,mul_one,
expUnit_val,Pi.coe_exp] at hd
erw [matrix_det_exp] at hd
have hz := (Real.exp_eq_one_iff _).1 hd.symm
simp only [centralMatrix,Matrix.trace_smul,Matrix.trace_one,smul_eq_mul] at hz
exact (mul_eq_zero.1 hz).resolve_right (Nat.cast_ne_zero.2 Fintype.card_ne_zero)
rw [hc,centralMatrix_zero] at he
have hz : expUnit (0 : MatrixProduct ι)=1 := by apply Units.ext; simp [expUnit_val]
rw [hz,one_mul] at he
rw [he]; exact hv
theorem slProduct_has_finite_word [∀ b,Nontrivial (ι b)]
(g : κ → MatrixProduct ι) (hg : ∀ k b,(g k b).trace=0)
(hfull : ∀ X : MatrixProduct ι,(∀ b,(X b).trace=0) →
X ∈ LieSubalgebra.lieSpan ℝ _ (Set.range g))
(M : ∀ b,Matrix.SpecialLinearGroup (ι b) ℝ) :
∃ l : List (κ × ℝ),(l.map (fun p => expUnit (p.2 • g p.1))).prod=slProductToUnits M :=
reachable_has_word g (slProduct_reachable g hg hfull M)
end HarmonicCounterexample.FiniteControl
end
noncomputable section
open scoped Topology
open NormedSpace Module Filter
open scoped Topology
namespace HarmonicCounterexample.FiniteControl
open Matrix
open scoped Matrix.Norms.Frobenius ContDiff
attribute [local instance 100] LieRing.ofAssociativeRing
variable {β κ : Type*} [Fintype β] {ι : β → Type*}
[∀ b,Fintype (ι b)] [∀ b,DecidableEq (ι b)]
def tracefreeProduct : Submodule ℝ (MatrixProduct ι) where
carrier := {X | ∀ b,(X b).trace=0}
zero_mem' := by simp
add_mem' hx hy := by intro b; rw [Pi.add_apply,Matrix.trace_add,hx,hy,add_zero]
smul_mem' c X hx := by intro b; rw [Pi.smul_apply,Matrix.trace_smul,hx,smul_zero]
lemma adjoint_trace (h : (MatrixProduct ι)ˣ) (X : MatrixProduct ι) (b : β) :
(adjoint h X b).trace=(X b).trace := by
change (((h : MatrixProduct ι) b * X b) * ((h⁻¹ : (MatrixProduct ι)ˣ) : MatrixProduct ι) b).trace= _
rw [Matrix.trace_mul_cycle]
have hi := congrFun h.inv_val b
change ((h⁻¹ : (MatrixProduct ι)ˣ) : MatrixProduct ι) b * (h : MatrixProduct ι) b=1 at hi
rw [hi,Matrix.one_mul]
lemma adjointSpan_eq_tracefree (g : κ → MatrixProduct ι)
(hg : ∀ k b,(g k b).trace=0)
(hfull : ∀ X : MatrixProduct ι,(∀ b,(X b).trace=0) →
X ∈ LieSubalgebra.lieSpan ℝ _ (Set.range g)) :
adjointSpan g=tracefreeProduct := by
apply le_antisymm
· apply Submodule.span_le.2
rintro X ⟨h,_,k,rfl⟩
intro b
rw [adjoint_trace,hg]
· intro X hX
exact lieSpan_le_adjointSpan g (hfull X hX)
/-- A genuine smooth finite control word centered at ANY desired special-linear
product, with an isomorphic derivative onto the right-translated trace-free
space. Every conjugating factor is itself an actual finite control word. -/
theorem sl_target_word_submersion [∀ b,Nontrivial (ι b)]
(g : κ → MatrixProduct ι) (hg : ∀ k b,(g k b).trace=0)
(hfull : ∀ X : MatrixProduct ι,(∀ b,(X b).trace=0) →
X ∈ LieSubalgebra.lieSpan ℝ _ (Set.range g))
(M : ∀ b,Matrix.SpecialLinearGroup (ι b) ℝ) :
∃ (d : ℕ) (h : Fin d → (MatrixProduct ι)ˣ) (k : Fin d → κ)
(e : (Fin d → ℝ) ≃L[ℝ] (tracefreeProduct (ι:=ι)))
(targetWord : List (κ × ℝ)),
(∀ i,∃ l : List (κ × ℝ),(l.map (fun p => expUnit (p.2 • g p.1))).prod=h i) ∧
(targetWord.map (fun p => expUnit (p.2 • g p.1))).prod=slProductToUnits M ∧
d=Module.finrank ℝ (tracefreeProduct (ι:=ι)) ∧
ContDiff ℝ ∞ (fun t => conjugateWord h (g ∘ k) t * (slProductToUnits M : MatrixProduct ι)) ∧
HasStrictFDerivAt (conjugateWord h (g ∘ k))
((tracefreeProduct (ι:=ι)).subtypeL.comp (e : (Fin d → ℝ) →L[ℝ] _)) 0 := by
have H := exists_word_submersion g
rw [adjointSpan_eq_tracefree g hg hfull] at H
obtain ⟨d,h,k,e,hh,hd,hs,he⟩ := H
obtain ⟨w,hw⟩ := slProduct_has_finite_word g hg hfull M
exact ⟨d,h,k,e,w,fun i => reachable_has_word g (hh i),hw,hd,hs.mul contDiff_const,he⟩
end HarmonicCounterexample.FiniteControl
end
noncomputable section
namespace HarmonicCounterexample.FiniteControl
open scoped ContDiff
variable {A κ H : Type*} [NormedRing A] [NormedAlgebra ℝ A] [CompleteSpace A]
[NormedAddCommGroup H] [NormedSpace ℝ H]
/-- A finite control word with genuine smooth scalar amplitudes. -/
def parameterWord (g : κ → A) (w : List (κ × (H → ℝ))) (x : H) : A :=
(w.map (fun p => NormedSpace.exp (p.2 x • g p.1))).prod
def constantWord (w : List (κ × ℝ)) : List (κ × (H → ℝ)) :=
w.map (fun p => (p.1,fun _ => p.2))
def inverseWord (w : List (κ × ℝ)) : List (κ × ℝ) :=
w.reverse.map (fun p => (p.1,-p.2))
omit [CompleteSpace A] [NormedAddCommGroup H] [NormedSpace ℝ H] in
lemma parameterWord_append (g : κ → A) (w v : List (κ × (H → ℝ))) (x : H) :
parameterWord g (w++v) x=parameterWord g w x*parameterWord g v x := by
simp [parameterWord]
omit [NormedAddCommGroup H] [NormedSpace ℝ H] in
lemma constantWord_value (g : κ → A) (w : List (κ × ℝ)) (x : H) :
parameterWord g (constantWord w) x=
((w.map (fun p => expUnit (p.2 • g p.1))).prod : Aˣ) := by
induction w with
| nil => simp [parameterWord,constantWord]
| cons p w ih => simpa only [constantWord,List.map_cons,parameterWord,List.prod_cons,
Units.val_mul,expUnit_val] using congrArg (fun y : A => NormedSpace.exp (p.2 • g p.1)*y) ih
lemma inverseWord_value (g : κ → A) (w : List (κ × ℝ)) :
((inverseWord w).map (fun p => expUnit (p.2 • g p.1))).prod=
((w.map (fun p => expUnit (p.2 • g p.1))).prod)⁻¹ := by
simp only [inverseWord,List.map_map,Function.comp_def,neg_smul,expUnit_neg]
simp only [List.prod_inv_reverse,List.map_reverse,List.map_map,Function.comp_def]
lemma constantWord_smooth (w : List (κ × ℝ)) :
∀ p ∈ constantWord (H:=H) w,ContDiff ℝ ∞ p.2 := by
intro p hp
obtain ⟨q,_,rfl⟩ := List.mem_map.1 hp
exact contDiff_const
/-- Flatten reachable conjugations and the target into one fixed finite list.
No abstract exponential controls remain beyond the permitted generators. -/
theorem conjugate_word_flatten {d : ℕ} (g : κ → A)
(h : Fin d → Aˣ) (k : Fin d → κ) (w : Fin d → List (κ × ℝ))
(hw : ∀ i,(w i |>.map (fun p => expUnit (p.2 • g p.1))).prod=h i)
(target : List (κ × ℝ)) (coord : H →L[ℝ] (Fin d → ℝ)) :
∃ z : List (κ × (H → ℝ)),
(∀ p ∈ z,ContDiff ℝ ∞ p.2) ∧
∀ x,parameterWord g z x=conjugateWord h (g ∘ k) (coord x)*
((target.map (fun p => expUnit (p.2 • g p.1))).prod : Aˣ) := by
let packet := fun i : Fin d => constantWord (H:=H) (w i) ++
[(k i,fun x => coord x i)] ++ constantWord (H:=H) (inverseWord (w i))
have hpacket (i : Fin d) (x : H) : parameterWord g (packet i) x=
adjoint (h i) (NormedSpace.exp (coord x i • g (k i))) := by
dsimp only [packet]
rw [parameterWord_append,parameterWord_append,constantWord_value,constantWord_value,
inverseWord_value,hw]
simp only [parameterWord,List.map_cons,List.map_nil,List.prod_cons,List.prod_nil,mul_one,adjoint_apply]
have hpacketsmooth (i : Fin d) : ∀ p ∈ packet i,ContDiff ℝ ∞ p.2 := by
intro p hp
simp only [packet,List.mem_append,List.mem_singleton] at hp
rcases hp with (hp|rfl)|hp
· exact constantWord_smooth _ _ hp
· exact ((ContinuousLinearMap.proj i : (Fin d → ℝ) →L[ℝ] ℝ).comp coord).contDiff
· exact constantWord_smooth _ _ hp
let z := (List.finRange d).flatMap packet ++ constantWord (H:=H) target
refine ⟨z,?_,?_⟩
· intro p hp
rcases List.mem_append.1 hp with hp|hp
· obtain ⟨i,_,hp⟩ := List.mem_flatMap.1 hp
exact hpacketsmooth i p hp
· exact constantWord_smooth _ _ hp
· intro x
rw [show z=(List.finRange d).flatMap packet ++ constantWord target from rfl,
parameterWord_append,constantWord_value]
congr 1
unfold conjugateWord
induction List.finRange d with
| nil => simp [parameterWord]
| cons i l ih => simp only [List.flatMap_cons,parameterWord_append,List.map_cons,
List.prod_cons,hpacket,ih,Function.comp_apply]
end HarmonicCounterexample.FiniteControl
end
noncomputable section
namespace HarmonicCounterexample.FiniteControl.SmoothWord
open scoped ContDiff
variable {A κ H : Type*} [NormedRing A] [NormedAlgebra ℝ A] [CompleteSpace A]
[NormedAddCommGroup H] [NormedSpace ℝ H]
omit [NormedAlgebra ℝ A] [CompleteSpace A] in
lemma leftWord_reverse_product (X : ℕ → A) (n : ℕ) :
leftWord X n=((List.ofFn (fun i : Fin n => NormedSpace.exp (X i.val))).reverse).prod := by
induction n with
| zero => simp [leftWord]
| succ n ih =>
simp only [leftWord,List.ofFn_succ',List.concat_eq_append,List.reverse_append,List.reverse_cons,List.reverse_nil,
List.nil_append,List.prod_append,List.prod_cons,List.prod_nil,mul_one,Fin.val_last,Fin.val_castSucc]
rw [ih]
omit [NormedAddCommGroup H] [NormedSpace ℝ H] in
lemma packet_reverse_list (g : κ → A) (w : List (κ × (H → ℝ))) (x : H) :
LinearODE.flow (fun t => ContinuousLinearMap.mul ℝ A
(unitPacketCoefficient (fun i : Fin w.reverse.length => (w.reverse.get i).2 x)
(fun i => g (w.reverse.get i).1) t)) 1 1=parameterWord g w x := by
rw [actual_packet_endpoint,leftWord_reverse_product]
have he : (List.ofFn (fun i : Fin w.reverse.length =>
NormedSpace.exp (extendWord (fun i => (w.reverse.get i).2 x)
(fun i => g (w.reverse.get i).1) i.val)))=
w.reverse.map (fun p => NormedSpace.exp (p.2 x • g p.1)) := by
simp only [extendWord,Fin.isLt,dite_eq_left]
simpa only [Function.comp_def,List.ofFn_get] using
(List.map_ofFn (f:=w.reverse.get)
(g:=fun p : κ × (H → ℝ) => NormedSpace.exp (p.2 x • g p.1))).symm
rw [he,← List.map_reverse,List.reverse_reverse]
rfl
/-- The finite SL word is realized by the actual smooth chronological packet,
with a positive number of slots and smooth genuine amplitudes. -/
theorem smooth_packet_of_parameter_word [Nonempty κ] (g : κ → A)
(w : List (κ × (H → ℝ))) (hw : ∀ p ∈ w,ContDiff ℝ ∞ p.2) :
∃ (n : ℕ) (_ : NeZero n) (slot : Fin n → κ) (amps : Fin n → H → ℝ),
(∀ i,ContDiff ℝ ∞ (amps i)) ∧ ∀ x,
LinearODE.flow (fun t => ContinuousLinearMap.mul ℝ A
(unitPacketCoefficient (fun i => amps i x) (fun i => g (slot i)) t)) 1 1=
parameterWord g w x := by
classical
let k₀ : κ := Classical.choice inferInstance
let z : List (κ × (H → ℝ)) := (k₀,fun _ => (0:ℝ))::w
refine ⟨z.reverse.length,⟨by simp [z]⟩,fun i => (z.reverse.get i).1,
fun i => (z.reverse.get i).2,?_,?_⟩
· intro i
have hi : z.reverse.get i ∈ z := List.mem_reverse.1 (List.get_mem _ _)
rcases List.mem_cons.1 hi with hi|hi
· change ContDiff ℝ ∞ (z.reverse.get i).2
rw [hi]
exact contDiff_const
· exact hw _ hi
· intro x
rw [packet_reverse_list]
simp only [parameterWord,z,List.map_cons,List.prod_cons,zero_smul,NormedSpace.exp_zero,one_mul]
end HarmonicCounterexample.FiniteControl.SmoothWord
end
noncomputable section
namespace HarmonicCounterexample.FiniteControl.Frobenius
open Matrix
open scoped BigOperators Matrix.Norms.Frobenius
variable {β : Type*} {ι : β → Type*}
[∀ b,Fintype (ι b)] [∀ b,DecidableEq (ι b)] [∀ b,Nonempty (ι b)]
abbrev MatrixProduct' := ∀ b,Matrix (ι b) (ι b) ℝ
def tracefreeProduct' : Submodule ℝ (MatrixProduct' (ι:=ι)) where
carrier := {X | ∀ b,(X b).trace=0}
zero_mem' := by simp
add_mem' hx hy := by intro b; rw [Pi.add_apply,Matrix.trace_add,hx,hy,add_zero]
smul_mem' c X hx := by intro b; rw [Pi.smul_apply,Matrix.trace_smul,hx,smul_zero]
def meanTrace (X : MatrixProduct' (ι:=ι)) (b : β) : ℝ :=
(X b).trace/(Fintype.card (ι b):ℝ)
/-- Linear local SL chart: project away scalar matrices after translating the
exact target to the identity. No abstract manifold chart is assumed. -/
def tracefreeProjection : MatrixProduct' (ι:=ι) →ₗ[ℝ] tracefreeProduct' (ι:=ι) where
toFun X := ⟨fun b => X b-meanTrace X b • 1,by
intro b
have hn : (Fintype.card (ι b):ℝ) ≠ 0 := Nat.cast_ne_zero.2 Fintype.card_ne_zero
simp only [Matrix.trace_sub,Matrix.trace_smul,Matrix.trace_one,smul_eq_mul,meanTrace]
rw [div_mul_cancel₀ _ hn,sub_self]⟩
map_add' X Y := by
apply Subtype.ext
funext b
change (X b+Y b)-meanTrace (X+Y) b • 1=
(X b-meanTrace X b • 1)+(Y b-meanTrace Y b • 1)
simp only [Pi.add_apply,Matrix.trace_add,meanTrace,add_div,add_smul]
abel
map_smul' c X := by
apply Subtype.ext
funext b
change c • X b-meanTrace (c • X) b • 1=c • (X b-meanTrace X b • 1)
simp only [Pi.smul_apply,Matrix.trace_smul,meanTrace,smul_eq_mul,
mul_div_assoc,smul_sub,smul_smul]
/-- Projection zero is exactly scalarity, with the scalar given explicitly. -/
lemma tracefreeProjection_zero_iff (X : MatrixProduct' (ι:=ι)) :
tracefreeProjection X=0 ↔ ∀ b,X b=meanTrace X b • 1 := by
constructor
· intro h b
have he := congrFun (congrArg Subtype.val h) b
exact sub_eq_zero.1 he
· intro h
apply Subtype.ext
funext b
change X b-meanTrace X b • 1=0
rw [h b,sub_self]
lemma tracefreeProjection_id : tracefreeProjection (1 : MatrixProduct' (ι:=ι))=0 := by
apply (tracefreeProjection_zero_iff _).2
intro b
have hn : (Fintype.card (ι b):ℝ) ≠ 0 := Nat.cast_ne_zero.2 Fintype.card_ne_zero
simp [meanTrace,hn]
lemma tracefreeProjection_subtype (X : tracefreeProduct' (ι:=ι)) :
tracefreeProjection X=X := by
apply Subtype.ext
funext b
change (X : MatrixProduct' (ι:=ι)) b-meanTrace (X : MatrixProduct' (ι:=ι)) b • 1=(X : MatrixProduct' (ι:=ι)) b
simp only [meanTrace,X.property b,zero_div,zero_smul,sub_zero]
/-- Positivity of trace resolves the spurious negative scalar branch. This is
an OPEN condition near the prescribed positive scalar times the target. -/
lemma positive_scalar_of_projection_zero {X : MatrixProduct' (ι:=ι)}
(hX : tracefreeProjection X=0) (htr : ∀ b,0 < (X b).trace) :
∀ b,∃ c : ℝ,0 < c ∧ X b=c • 1 := by
intro b
exact ⟨meanTrace X b,div_pos (htr b) (Nat.cast_pos.2 Fintype.card_pos),
(tracefreeProjection_zero_iff X).1 hX b⟩
/-- Vanishing projected transmission gives the EXACT target, up to the
positive scalar permitted by source equation (exact-transmission). -/
lemma exact_scalar_target {X : MatrixProduct' (ι:=ι)} (M : (MatrixProduct' (ι:=ι))ˣ)
(hX : tracefreeProjection (X*(↑M⁻¹ : MatrixProduct' (ι:=ι)))=0)
(htr : ∀ b,0 < ((X*(↑M⁻¹ : MatrixProduct' (ι:=ι))) b).trace) :
∀ b,∃ c : ℝ,0 < c ∧ X b=c • ((M : MatrixProduct' (ι:=ι)) b) := by
intro b
obtain ⟨c,hc,he⟩ := positive_scalar_of_projection_zero hX htr b
refine ⟨c,hc,?_⟩
have h := congrArg (fun A : Matrix (ι b) (ι b) ℝ => A*((M : MatrixProduct' (ι:=ι)) b)) he
have hi := congrFun M.inv_val b
change ((M⁻¹ : (MatrixProduct' (ι:=ι))ˣ) : MatrixProduct' (ι:=ι)) b*
(M : MatrixProduct' (ι:=ι)) b=1 at hi
simpa only [Pi.mul_apply,Matrix.mul_assoc,hi,Matrix.mul_one,Matrix.smul_mul,
Matrix.one_mul] using h
end HarmonicCounterexample.FiniteControl.Frobenius
end
noncomputable section
namespace HarmonicCounterexample.FiniteControl.Frobenius
open Matrix
open scoped BigOperators Matrix.Norms.Frobenius Topology
variable {β : Type*} [Fintype β] {ι : β → Type*}
[∀ b,Fintype (ι b)] [∀ b,DecidableEq (ι b)] [∀ b,Nonempty (ι b)]
def translatedProjection (M : (MatrixProduct' (ι:=ι))ˣ) :
MatrixProduct' (ι:=ι) →L[ℝ] tracefreeProduct' (ι:=ι) :=
(tracefreeProjection (ι:=ι)).toContinuousLinearMap.comp
((ContinuousLinearMap.mul ℝ (MatrixProduct' (ι:=ι))).flip (↑M⁻¹))
lemma translatedProjection_apply (M : (MatrixProduct' (ι:=ι))ˣ)
(X : MatrixProduct' (ι:=ι)) :
translatedProjection M X=tracefreeProjection (X*(↑M⁻¹ : MatrixProduct' (ι:=ι))) := rfl
lemma positive_trace_neighborhood (M : (MatrixProduct' (ι:=ι))ˣ) :
IsOpen {X : MatrixProduct' (ι:=ι) | ∀ b,0 < ((X*(↑M⁻¹ : MatrixProduct' (ι:=ι))) b).trace} ∧
(M : MatrixProduct' (ι:=ι)) ∈
{X : MatrixProduct' (ι:=ι) | ∀ b,0 < ((X*(↑M⁻¹ : MatrixProduct' (ι:=ι))) b).trace} := by
constructor
· rw [show {X : MatrixProduct' (ι:=ι) | ∀ b,0 < ((X*(↑M⁻¹ : MatrixProduct' (ι:=ι))) b).trace}=
(⋂ b,{X : MatrixProduct' (ι:=ι) | 0 < ((X*(↑M⁻¹ : MatrixProduct' (ι:=ι))) b).trace}) by ext X; simp]
apply isOpen_iInter_of_finite
intro b
apply isOpen_lt continuous_const
simp only [Matrix.trace]
apply continuous_finsetSum
intro i _
apply Continuous.matrix_elem
exact (continuous_apply b).comp (continuous_id.mul continuous_const)
· intro b
rw [Units.mul_inv]
change 0 < (1 : Matrix (ι b) (ι b) ℝ).trace
rw [Matrix.trace_one]
exact Nat.cast_pos.2 Fintype.card_pos
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E]
local instance : NormedAddCommGroup (E →L[ℝ] MatrixProduct' (ι:=ι)) :=
ContinuousLinearMap.toNormedAddCommGroup
local instance : NormedSpace ℝ (E →L[ℝ] MatrixProduct' (ι:=ι)) :=
ContinuousLinearMap.toNormedSpace
/-- Quantitative actual exact positive-scalar attainment, avoiding determinant
normalization altogether. Each actual map has genuine Frechet derivatives and
uniform C1 errors; the same tolerance works for every preceding history. -/
theorem uniform_exact_scalar_attainment
(M : (MatrixProduct' (ι:=ι))ˣ) (Φ : E → MatrixProduct' (ι:=ι))
(Φ' : E → E →L[ℝ] MatrixProduct' (ι:=ι))
(A : E ≃L[ℝ] tracefreeProduct' (ι:=ι))
(hΦ : ContinuousAt Φ 0) (hΦ' : ContinuousAt Φ' 0)
(hvalue : Φ 0=(M : MatrixProduct' (ι:=ι)))
(hjet : (translatedProjection M).comp (Φ' 0)=A.toContinuousLinearMap) :
∃ r ε : ℝ,0 < r ∧ 0 < ε ∧
∀ (Ψ : E → MatrixProduct' (ι:=ι)) (Ψ' : E → E →L[ℝ] MatrixProduct' (ι:=ι)),
(∀ x ∈ Metric.closedBall (0:E) r,HasFDerivAt Ψ (Ψ' x) x) →
(∀ x ∈ Metric.closedBall (0:E) r,‖Ψ x-Φ x‖ ≤ ε) →
(∀ x ∈ Metric.closedBall (0:E) r,‖(Ψ' x-Φ' x : E →L[ℝ] MatrixProduct' (ι:=ι))‖ ≤ ε) →
∃ x ∈ Metric.closedBall (0:E) r,
∀ b,∃ c : ℝ,0 < c ∧ Ψ x b=c • ((M : MatrixProduct' (ι:=ι)) b) := by
let L := A.symm.toContinuousLinearMap.comp (translatedProjection M)
have hLzero : L (Φ 0)=0 := by
dsimp [L]
rw [hvalue,translatedProjection_apply,Units.mul_inv,tracefreeProjection_id,map_zero]
have hLjet : L.comp (Φ' 0)=(ContinuousLinearEquiv.refl ℝ E).toContinuousLinearMap := by
dsimp [L]
rw [ContinuousLinearMap.comp_assoc,hjet]
ext x
exact A.symm_apply_apply x
obtain ⟨hU,htgt⟩ := positive_trace_neighborhood M
obtain ⟨r,ε,hr,hε,hworks⟩ := HarmonicCounterexample.Transmission.uniform_projected_attainment
Φ Φ' L (ContinuousLinearEquiv.refl ℝ E) hΦ hΦ' hLzero hLjet hU (hvalue ▸ htgt)
refine ⟨r,ε,hr,hε,fun Ψ Ψ' hd hv hj => ?_⟩
obtain ⟨x,hx,hxz,hxU⟩ := hworks Ψ Ψ' hd hv hj
refine ⟨x,hx,exact_scalar_target M ?_ hxU⟩
apply A.symm.injective
change A.symm (translatedProjection M (Ψ x))=A.symm 0
rw [map_zero]
exact hxz
end HarmonicCounterexample.FiniteControl.Frobenius
end
noncomputable section
namespace HarmonicCounterexample.FiniteControl.Frobenius
open Matrix
open scoped BigOperators Matrix.Norms.Frobenius Topology
variable {β : Type*} [Fintype β] {ι : β → Type*}
[∀ b,Fintype (ι b)] [∀ b,DecidableEq (ι b)] [∀ b,Nonempty (ι b)]
def boundedScalarNeighborhood (M : (MatrixProduct' (ι:=ι))ˣ) : Set (MatrixProduct' (ι:=ι)) :=
{X | ∀ b,meanTrace (X*(↑M⁻¹ : MatrixProduct' (ι:=ι))) b ∈ Set.Ioo (1/2:ℝ) (3/2)}
lemma boundedScalarNeighborhood_open (M : (MatrixProduct' (ι:=ι))ˣ) :
IsOpen (boundedScalarNeighborhood M) ∧ (M : MatrixProduct' (ι:=ι)) ∈ boundedScalarNeighborhood M := by
have hc (b : β) : Continuous (fun X : MatrixProduct' (ι:=ι) =>
meanTrace (X*(↑M⁻¹ : MatrixProduct' (ι:=ι))) b) := by
apply Continuous.div_const
simp only [Matrix.trace]
apply continuous_finsetSum
intro i _
apply Continuous.matrix_elem
exact (continuous_apply b).comp (continuous_id.mul continuous_const)
constructor
· rw [show boundedScalarNeighborhood M=⋂ b,{X | meanTrace (X*(↑M⁻¹ : MatrixProduct' (ι:=ι))) b ∈ Set.Ioo (1/2:ℝ) (3/2)} by ext X;simp [boundedScalarNeighborhood]]
exact isOpen_iInter_of_finite fun b => isOpen_Ioo.preimage (hc b)
· intro b
rw [Units.mul_inv]
have hn : (Fintype.card (ι b):ℝ) ≠ 0 := Nat.cast_ne_zero.2 Fintype.card_ne_zero
norm_num [meanTrace,hn]
lemma bounded_scalar_target {X : MatrixProduct' (ι:=ι)} (M : (MatrixProduct' (ι:=ι))ˣ)
(hX : translatedProjection M X=0) (hU : X ∈ boundedScalarNeighborhood M) :
∀ b,∃ c : ℝ,c ∈ Set.Ioo (1/2:ℝ) (3/2) ∧ X b=c • ((M : MatrixProduct' (ι:=ι)) b) := by
intro b
refine ⟨meanTrace (X*(↑M⁻¹ : MatrixProduct' (ι:=ι))) b,hU b,?_⟩
change tracefreeProjection (X*(↑M⁻¹ : MatrixProduct' (ι:=ι)))=0 at hX
have he := (tracefreeProjection_zero_iff _).1 hX b
have h := congrArg (fun A : Matrix (ι b) (ι b) ℝ => A*((M : MatrixProduct' (ι:=ι)) b)) he
have hi := congrFun M.inv_val b
change (↑M⁻¹ : MatrixProduct' (ι:=ι)) b*(M : MatrixProduct' (ι:=ι)) b=1 at hi
simpa only [Pi.mul_apply,Matrix.mul_assoc,hi,Matrix.mul_one,Matrix.smul_mul,Matrix.one_mul] using h
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E]
local instance : NormedAddCommGroup (E →L[ℝ] MatrixProduct' (ι:=ι)) :=
ContinuousLinearMap.toNormedAddCommGroup
local instance : NormedSpace ℝ (E →L[ℝ] MatrixProduct' (ι:=ι)) :=
ContinuousLinearMap.toNormedSpace
/-- The exact target scalar stays in a fixed compact positive range. This
also supplies the uniform logarithmic scalar bound required for growth. -/
theorem uniform_exact_bounded_scalar_attainment
(M : (MatrixProduct' (ι:=ι))ˣ) (Φ : E → MatrixProduct' (ι:=ι))
(Φ' : E → E →L[ℝ] MatrixProduct' (ι:=ι))
(A : E ≃L[ℝ] tracefreeProduct' (ι:=ι))
(hΦ : ContinuousAt Φ 0) (hΦ' : ContinuousAt Φ' 0)
(hvalue : Φ 0=(M : MatrixProduct' (ι:=ι)))
(hjet : (translatedProjection M).comp (Φ' 0)=A.toContinuousLinearMap) :
∃ r ε : ℝ,0 < r ∧ 0 < ε ∧
∀ (Ψ : E → MatrixProduct' (ι:=ι)) (Ψ' : E → E →L[ℝ] MatrixProduct' (ι:=ι)),
(∀ x ∈ Metric.closedBall (0:E) r,HasFDerivAt Ψ (Ψ' x) x) →
(∀ x ∈ Metric.closedBall (0:E) r,‖Ψ x-Φ x‖ ≤ ε) →
(∀ x ∈ Metric.closedBall (0:E) r,‖(Ψ' x-Φ' x : E →L[ℝ] MatrixProduct' (ι:=ι))‖ ≤ ε) →
∃ x ∈ Metric.closedBall (0:E) r,
∀ b,∃ c : ℝ,c ∈ Set.Ioo (1/2:ℝ) (3/2) ∧ Ψ x b=c • ((M : MatrixProduct' (ι:=ι)) b) := by
let L := A.symm.toContinuousLinearMap.comp (translatedProjection M)
have hLzero : L (Φ 0)=0 := by
dsimp [L]
rw [hvalue,translatedProjection_apply,Units.mul_inv,tracefreeProjection_id,map_zero]
have hLjet : L.comp (Φ' 0)=(ContinuousLinearEquiv.refl ℝ E).toContinuousLinearMap := by
dsimp [L]
rw [ContinuousLinearMap.comp_assoc,hjet]
ext x
exact A.symm_apply_apply x
obtain ⟨hU,htgt⟩ := boundedScalarNeighborhood_open M
obtain ⟨r,ε,hr,hε,hworks⟩ := HarmonicCounterexample.Transmission.uniform_projected_attainment
Φ Φ' L (ContinuousLinearEquiv.refl ℝ E) hΦ hΦ' hLzero hLjet hU (hvalue ▸ htgt)
refine ⟨r,ε,hr,hε,fun Ψ Ψ' hd hv hj => ?_⟩
obtain ⟨x,hx,hxz,hxU⟩ := hworks Ψ Ψ' hd hv hj
refine ⟨x,hx,bounded_scalar_target M ?_ hxU⟩
apply A.symm.injective
change A.symm (translatedProjection M (Ψ x))=A.symm 0
rw [map_zero]
exact hxz
end HarmonicCounterexample.FiniteControl.Frobenius
end
noncomputable section
namespace HarmonicCounterexample.FiniteControl.Frobenius
open Matrix HarmonicCounterexample.Transmission
open scoped BigOperators Matrix.Norms.Frobenius Topology
variable {β : Type*} [Fintype β] {ι : β → Type*}
[∀ b,Fintype (ι b)] [∀ b,DecidableEq (ι b)] [∀ b,Nonempty (ι b)]
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E]
local instance : NormedAddCommGroup (E →L[ℝ] MatrixProduct' (ι:=ι)) := ContinuousLinearMap.toNormedAddCommGroup
local instance : NormedSpace ℝ (E →L[ℝ] MatrixProduct' (ι:=ι)) := ContinuousLinearMap.toNormedSpace
/-- Uniform actual WHOLE-period attainment, after factoring the entire
parameter-independent diagonal leg. The error tolerance is chosen before
K, Q and B, so it does not depend on the incoming history or diagonal
anisotropy. Q and B have genuine Frechet derivatives. -/
theorem whole_period_uniform_attainment
(M : (MatrixProduct' (ι:=ι))ˣ) (Φ : E → MatrixProduct' (ι:=ι))
(Φ' : E → E →L[ℝ] MatrixProduct' (ι:=ι))
(A : E ≃L[ℝ] tracefreeProduct' (ι:=ι))
(hΦ : Continuous Φ) (hΦ' : Continuous Φ')
(hvalue : Φ 0=(M : MatrixProduct' (ι:=ι)))
(hjet : (translatedProjection M).comp (Φ' 0)=A.toContinuousLinearMap)
{K₀ : ℝ} (hK₀ : 0 ≤ K₀) :
∃ r σ : ℝ,0 < r ∧ 0 < σ ∧
∀ (K : MatrixProduct' (ι:=ι)) (Q B : E → MatrixProduct' (ι:=ι))
(Q' B' : E → E →L[ℝ] MatrixProduct' (ι:=ι)),
‖K‖ ≤ K₀ →
(∀ x ∈ Metric.closedBall (0:E) r,HasFDerivAt Q (Q' x) x) →
(∀ x ∈ Metric.closedBall (0:E) r,HasFDerivAt B (B' x) x) →
(∀ x ∈ Metric.closedBall (0:E) r,‖Q x‖ ≤ σ) →
(∀ x ∈ Metric.closedBall (0:E) r,‖B x-Φ x‖ ≤ σ) →
(∀ x ∈ Metric.closedBall (0:E) r,‖Q' x‖ ≤ σ) →
(∀ x ∈ Metric.closedBall (0:E) r,‖(B' x-Φ' x : E →L[ℝ] MatrixProduct' (ι:=ι))‖ ≤ σ) →
∃ x ∈ Metric.closedBall (0:E) r,
∀ b,∃ c : ℝ,c ∈ Set.Ioo (1/2:ℝ) (3/2) ∧
wholePeriod K (Q x) (B x) b=c • ((M : MatrixProduct' (ι:=ι)) b) := by
obtain ⟨r,ε,hr,hε,hworks⟩ := uniform_exact_bounded_scalar_attainment M Φ Φ' A
hΦ.continuousAt hΦ'.continuousAt hvalue hjet
obtain ⟨H₀,hH₀⟩ := (isCompact_closedBall (0:E) r).exists_bound_of_continuousOn hΦ.continuousOn
obtain ⟨H₁,hH₁⟩ := (isCompact_closedBall (0:E) r).exists_bound_of_continuousOn hΦ'.continuousOn
let V₀ := max H₀ 0
let V₁ := max H₁ 0
have hv₀ : 0 ≤ V₀ := le_max_right _ _
have hv₁ : 0 ≤ V₁ := le_max_right _ _
let N := 1+K₀*(V₁+1)+K₀*(V₀+1)
have hN : 0 < N := by dsimp [N];positivity
let σ := min 1 (ε/N)
have hσ : 0 < σ := lt_min zero_lt_one (div_pos hε hN)
have hσ₁ : σ ≤ 1 := min_le_left _ _
have hσε : σ*N ≤ ε := (le_div_iff₀ hN).1 (min_le_right _ _)
refine ⟨r,σ,hr,hσ,?_⟩
intro K Q B Q' B' hK hdQ hdB hQ hB hQ' hB'
apply hworks (fun x => wholePeriod K (Q x) (B x)) (fun x => wholePeriodJet K (Q x) (B x) (Q' x) (B' x))
· intro x hx
exact wholePeriod_hasFDerivAt K (hdQ x hx) (hdB x hx)
· intro x hx
have hb0 : ‖Φ x‖ ≤ V₀ := (hH₀ x hx).trans (le_max_left _ _)
have hh := wholePeriod_value_error hK (hQ x hx) (hB x hx) hb0
have hks : 0 ≤ K₀*σ := mul_nonneg hK₀ hσ.le
have he : K₀*σ*(V₀+σ) ≤ K₀*σ*(V₀+1) :=
mul_le_mul_of_nonneg_left (add_le_add_right hσ₁ V₀) hks
have hextra : 0 ≤ σ*(K₀*(V₁+1)) := by positivity
apply hh.trans
apply le_trans _ hσε
dsimp [N]
nlinarith
· intro x hx
have hb0 : ‖Φ x‖ ≤ V₀ := (hH₀ x hx).trans (le_max_left _ _)
have hb1 : ‖Φ' x‖ ≤ V₁ := (hH₁ x hx).trans (le_max_left _ _)
have hh := wholePeriod_jet_error hK (hQ x hx) (hB x hx) hb0 (hQ' x hx) (hB' x hx) hb1
have hks : 0 ≤ K₀*σ := mul_nonneg hK₀ hσ.le
have he0 : K₀*σ*(V₀+σ) ≤ K₀*σ*(V₀+1) :=
mul_le_mul_of_nonneg_left (add_le_add_right hσ₁ V₀) hks
have he1 : K₀*σ*(V₁+σ) ≤ K₀*σ*(V₁+1) :=
mul_le_mul_of_nonneg_left (add_le_add_right hσ₁ V₁) hks
apply hh.trans
apply le_trans _ hσε
dsimp [N]
nlinarith
omit [∀ (b : β), Nonempty (ι b)] in
/-- Cancellation of the factor of the ENTIRE diagonal leg gives the exact
chronological target c D M. No exponentially anisotropic conjugation occurs. -/
lemma whole_period_exact_leg {U V P B : MatrixProduct' (ι:=ι)} {θ : ℝ}
(D M : (MatrixProduct' (ι:=ι))ˣ) (hD : (D:MatrixProduct' (ι:=ι))=U+θ • V)
(hatt : ∀ b,∃ c : ℝ,c ∈ Set.Ioo (1/2:ℝ) (3/2) ∧
wholePeriod ((↑D⁻¹:MatrixProduct' (ι:=ι))*V) (P-θ • 1) B b=
c • ((M:MatrixProduct' (ι:=ι)) b)) :
∀ b,∃ c : ℝ,c ∈ Set.Ioo (1/2:ℝ) (3/2) ∧
((U+V*P)*B) b=c • (((D:MatrixProduct' (ι:=ι))*(M:MatrixProduct' (ι:=ι))) b) := by
intro b
obtain ⟨c,hc,he⟩ := hatt b
refine ⟨c,hc,?_⟩
have hf := full_leg_factor U V P B θ D hD
change (↑D⁻¹:MatrixProduct' (ι:=ι))*((U+V*P)*B)=wholePeriod ((↑D⁻¹:MatrixProduct' (ι:=ι))*V) (P-θ • 1) B at hf
have hh := congrArg (fun X : MatrixProduct' (ι:=ι) => ((D:MatrixProduct' (ι:=ι))*X) b) hf
rw [← mul_assoc,Units.mul_inv,one_mul] at hh
rw [hh]
change (D:MatrixProduct' (ι:=ι)) b*wholePeriod ((↑D⁻¹:MatrixProduct' (ι:=ι))*V) (P-θ • 1) B b=_
rw [he,Matrix.mul_smul]
rfl
end HarmonicCounterexample.FiniteControl.Frobenius
end
noncomputable section
namespace HarmonicCounterexample.FiniteControl
open SmoothWord Frobenius
open scoped ContDiff Matrix.Norms.Frobenius
attribute [local instance 100] LieRing.ofAssociativeRing
variable {β κ : Type*} [Fintype β] [Nonempty κ] {ι : β → Type*}
[∀ b,Fintype (ι b)] [∀ b,DecidableEq (ι b)] [∀ b,Nontrivial (ι b)]
/-- The actual smooth chronological finite control packet centered at the exact
SL target, with a genuine invertible projected derivative. The parameter norm
is Euclidean, the same norm used by the uniform physical estimates. -/
theorem smooth_SL_packet_submersion (g : κ → MatrixProduct ι)
(hg : ∀ k b,(g k b).trace=0)
(hfull : ∀ X : MatrixProduct ι,(∀ b,(X b).trace=0) →
X ∈ LieSubalgebra.lieSpan ℝ _ (Set.range g))
(M : ∀ b,Matrix.SpecialLinearGroup (ι b) ℝ) :
∃ (d n : ℕ) (_ : NeZero n) (slot : Fin n → κ)
(amps : Fin n → EuclideanSpace ℝ (Fin d) → ℝ)
(A : EuclideanSpace ℝ (Fin d) ≃L[ℝ] tracefreeProduct' (ι:=ι)),
(∀ j,ContDiff ℝ ∞ (amps j)) ∧
let Φ := fun x => LinearODE.flow (fun t => ContinuousLinearMap.mul ℝ (MatrixProduct ι)
(unitPacketCoefficient (fun j => amps j x) (g ∘ slot) t)) 1 1
ContDiff ℝ ∞ Φ ∧ Φ 0=(slProductToUnits M : MatrixProduct ι) ∧
(translatedProjection (slProductToUnits M)).comp (fderiv ℝ Φ 0)=A.toContinuousLinearMap := by
classical
obtain ⟨d,h,k,e,target,hh,htarget,hd,hs,hjet⟩ := sl_target_word_submersion g hg hfull M
choose w hw using hh
let coord := EuclideanSpace.equiv (Fin d) ℝ
obtain ⟨z,hzs,hz⟩ := conjugate_word_flatten g h k w hw target coord.toContinuousLinearMap
obtain ⟨n,hn,slot,amps,ha,hpacket⟩ := smooth_packet_of_parameter_word g z hzs
let Φ := fun x => LinearODE.flow (fun t => ContinuousLinearMap.mul ℝ (MatrixProduct ι)
(unitPacketCoefficient (fun j => amps j x) (g ∘ slot) t)) 1 1
have hΦ (x : EuclideanSpace ℝ (Fin d)) : Φ x=
conjugateWord h (g ∘ k) (coord x)*(slProductToUnits M : MatrixProduct ι) := by
rw [show Φ x=parameterWord g z x from hpacket x,hz,htarget]
rfl
have hΦs : ContDiff ℝ ∞ Φ := actual_packet_contDiff amps (g ∘ slot) ha
let A : EuclideanSpace ℝ (Fin d) ≃L[ℝ] tracefreeProduct' (ι:=ι) := coord.trans e
refine ⟨d,n,hn,slot,amps,A,ha,hΦs,?_,?_⟩
· change Φ 0=_
rw [hΦ,map_zero,conjugateWord_zero,one_mul]
· have hc : HasFDerivAt (fun x : EuclideanSpace ℝ (Fin d) => conjugateWord h (g ∘ k) (coord x))
(((tracefreeProduct (ι:=ι)).subtypeL.comp e.toContinuousLinearMap).comp coord.toContinuousLinearMap) 0 := by
have hj := hjet.hasFDerivAt.comp (0:EuclideanSpace ℝ (Fin d)) coord.hasFDerivAt
convert! hj using 1
have hj := hc.mul_const' (slProductToUnits M : MatrixProduct ι)
have heq : Φ=(fun x : EuclideanSpace ℝ (Fin d) => conjugateWord h (g ∘ k) (coord x)*
(slProductToUnits M : MatrixProduct ι)) := funext hΦ
let J := ((ContinuousLinearMap.mul ℝ (MatrixProduct ι)).flip (slProductToUnits M : MatrixProduct ι)).comp
(((tracefreeProduct (ι:=ι)).subtypeL.comp e.toContinuousLinearMap).comp coord.toContinuousLinearMap)
have hdΦ : HasFDerivAt Φ J 0 := by
rw [heq]
convert! hj using 1
change (translatedProjection (slProductToUnits M)).comp (fderiv ℝ Φ 0)=A.toContinuousLinearMap
have hdf : fderiv ℝ Φ (0 : EuclideanSpace ℝ (Fin d)) = J := by
convert! hdΦ.fderiv using 1
rw [hdf]
apply ContinuousLinearMap.ext
intro x
simp only [J]
change tracefreeProjection ((e (coord x) : MatrixProduct ι)*
(slProductToUnits M : MatrixProduct ι)*(↑(slProductToUnits M)⁻¹ : MatrixProduct ι))=A x
rw [mul_assoc,Units.mul_inv,mul_one]
exact tracefreeProjection_subtype (A x)
end HarmonicCounterexample.FiniteControl
end
end OAI