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Add lean source and binary files (part 61)
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import Mathlib
import OAI.Computability.DirectedFeedback.Probability.A13Reduction
namespace OAI
noncomputable section
namespace DFVSGames.Appendix.A5FrequencyTransport
open DFVSGames.Integration.BinaryLinear
open DFVSGames.Appendix.LinearIdentities
open DFVSGames.Appendix.NaturalTransport
variable {V W : Type*} [AddCommGroup V] [Module F2 V]
[AddCommGroup W] [Module F2 W]
theorem quotient_relativeFrequency_apply
(A A' : Submodule F2 V) (B' B : Submodule F2 W)
(hA : A ≤ A') (hB : B' ≤ B)
(Y : B' →ₗ[F2] (V ⧸ A')) (b : B'.comap B.subtype) :
Submodule.quotientQuotientEquivQuotient A A' hA
(A5ReverseIndex.relativeFrequency A A' B' B hA hB Y b) =
Y ((SubmoduleInterval.lowerIntervalSpaceEquiv B ⟨B', hB⟩).symm b) := by
change Submodule.quotientQuotientEquivQuotient A A' hA
((Submodule.quotientQuotientEquivQuotient A A' hA).symm
(Y ((SubmoduleInterval.lowerIntervalSpaceEquiv B ⟨B', hB⟩).symm b))) = _
exact (Submodule.quotientQuotientEquivQuotient A A' hA).apply_symm_apply _
theorem quotient_compress_apply
(A A' : Submodule F2 V) (B' B : Submodule F2 W)
(hA : A ≤ A') (X : B →ₗ[F2] (V ⧸ A)) (b : B'.comap B.subtype) :
Submodule.quotientQuotientEquivQuotient A A' hA
(compress X (A'.map A.mkQ) (B'.comap B.subtype) b) =
Submodule.mapQ A A' LinearMap.id hA (X b.val) := rfl
theorem compression_eq_relativeFrequency_of_pointwise
(A A' : Submodule F2 V) (B' B : Submodule F2 W)
(hA : A ≤ A') (hB : B' ≤ B)
(X : B →ₗ[F2] (V ⧸ A)) (Y : B' →ₗ[F2] (V ⧸ A'))
(hY : ∀ b : B', Submodule.mapQ A A' LinearMap.id hA
(X ⟨b.val, hB b.property⟩) = Y b) :
compress X (A'.map A.mkQ) (B'.comap B.subtype) =
A5ReverseIndex.relativeFrequency A A' B' B hA hB Y := by
ext b
apply (Submodule.quotientQuotientEquivQuotient A A' hA).injective
rw [quotient_compress_apply, quotient_relativeFrequency_apply]
exact hY ((SubmoduleInterval.lowerIntervalSpaceEquiv B ⟨B', hB⟩).symm b)
variable [FiniteDimensional F2 V] [FiniteDimensional F2 W]
[Finite V] [Finite W]
omit [FiniteDimensional F2 V] [Finite V] in
theorem quotientFactor_mapQ
(A : Submodule F2 V) (C : Submodule F2 (V ⧸ A))
(hA : A ≤ C.comap A.mkQ) (u : V ⧸ A) :
quotientFactor A C
(Submodule.mapQ A (C.comap A.mkQ) LinearMap.id hA u) = C.mkQ u := by
obtain ⟨x, rfl⟩ := A.mkQ_surjective u
change quotientFactor A C ((C.comap A.mkQ).mkQ x) = C.mkQ (A.mkQ x)
exact quotientFactor_mkQ A C x
omit [FiniteDimensional F2 V] [FiniteDimensional F2 W] [Finite V] [Finite W] in
theorem dualFactor_quotient
(A : Submodule F2 V) (B : Submodule F2 W)
(C : Submodule F2 (V ⧸ A)) (D : Submodule F2 B)
(Z : D →ₗ[F2] ((V ⧸ A) ⧸ C)) (b : D.map B.subtype) :
quotientFactor A C (dualFactor A B C D Z b) =
Z ((outputFactor B D).symm b) := by
change quotientFactor A C ((quotientFactor A C).symm
(Z ((outputFactor B D).symm b))) = _
exact (quotientFactor A C).apply_symm_apply _
omit [FiniteDimensional F2 W] [Finite W] in
theorem outputFactor_symm_as_inclusion
(B : Submodule F2 W) (D : Submodule F2 B)
(hB : D.map B.subtype ≤ B) (b : D.map B.subtype) :
(((outputFactor B D).symm b : D) : B) = ⟨b.val, hB b.property⟩ := by
apply Subtype.ext
have hh := outputFactor_val B D ((outputFactor B D).symm b)
rw [LinearEquiv.apply_symm_apply] at hh
exact hh.symm
omit [FiniteDimensional F2 V] [FiniteDimensional F2 W] [Finite V] [Finite W] in
theorem compression_eq_relativeFrequency_dualFactor
(A : Submodule F2 V) (B : Submodule F2 W)
(C : Submodule F2 (V ⧸ A)) (D : Submodule F2 B)
(hA : A ≤ C.comap A.mkQ) (hB : D.map B.subtype ≤ B)
(X : B →ₗ[F2] (V ⧸ A)) :
compress X ((C.comap A.mkQ).map A.mkQ) ((D.map B.subtype).comap B.subtype) =
A5ReverseIndex.relativeFrequency A (C.comap A.mkQ) (D.map B.subtype) B hA hB
(dualFactor A B C D (compress X C D)) := by
apply compression_eq_relativeFrequency_of_pointwise
intro b
apply (quotientFactor A C).injective
rw [quotientFactor_mapQ, dualFactor_quotient]
change C.mkQ (X ⟨b.val, hB b.property⟩) =
C.mkQ (X (((outputFactor B D).symm b : D) : B))
rw [outputFactor_symm_as_inclusion B D hB b]
omit [FiniteDimensional F2 V] [FiniteDimensional F2 W] [Finite V] [Finite W] in
theorem isAntecedent_relativeFrequency_dualFactor
(A : Submodule F2 V) (B : Submodule F2 W)
(C : Submodule F2 (V ⧸ A)) (D : Submodule F2 B)
(hA : A ≤ C.comap A.mkQ) (hB : D.map B.subtype ≤ B)
(X : B →ₗ[F2] (V ⧸ A))
(hdis : Disjoint X.range C) (hcover : D ⊔ X.ker = ⊤) :
AntecedentCount.IsAntecedent ((D.map B.subtype).comap B.subtype)
((C.comap A.mkQ).map A.mkQ)
(A5ReverseIndex.relativeFrequency A (C.comap A.mkQ) (D.map B.subtype) B hA hB
(dualFactor A B C D (compress X C D))) X := by
refine ⟨compression_eq_relativeFrequency_dualFactor A B C D hA hB X, ?_, ?_⟩
· rw [Submodule.map_comap_eq_of_surjective A.mkQ_surjective C]
exact hdis
· rw [Submodule.comap_map_eq_of_injective (f := B.subtype) Subtype.val_injective D]
exact hcover
end DFVSGames.Appendix.A5FrequencyTransport
end
noncomputable section
namespace DFVSGames.Appendix.A5ForwardIndex
open DFVSGames.Integration.BinaryLinear
open DFVSGames.Fourier.MatrixRestrictions (order)
open scoped BigOperators
attribute [local instance] Classical.propDecidable
attribute [local instance] OperatorNorm.quotientFinite OperatorNorm.compressedDualFintype
variable {E F : Type*} [AddCommGroup E] [Module F2 E]
[AddCommGroup F] [Module F2 F]
[FiniteDimensional F2 E] [FiniteDimensional F2 F] [Finite E] [Finite F]
[Fintype (E →ₗ[F2] F)] [Fintype (F →ₗ[F2] E)]
abbrev Index (d : ℕ) :=
Σ r : A13Index.BoundedPositiveTriple (E := E) (F := F) d,
A5Passage.Passage r.val.2.2 (d - A13Index.size r.val)
def descendant {d : ℕ} (a : Index (E := E) (F := F) d) :
A13Index.Triple (E := E) (F := F) :=
⟨a.2.2.val.1.comap a.1.val.1.mkQ, a.2.2.val.2.map a.1.val.2.1.subtype,
NaturalTransport.dualFactor a.1.val.1 a.1.val.2.1 a.2.2.val.1 a.2.2.val.2
(LinearIdentities.compress a.1.val.2.2 a.2.2.val.1 a.2.2.val.2)⟩
def sourceI {d : ℕ} (a : Index (E := E) (F := F) d) : ℕ :=
Module.finrank F2 a.1.val.1
def sourceJ {d : ℕ} (a : Index (E := E) (F := F) d) : ℕ :=
Module.finrank F2 (F ⧸ a.1.val.2.1)
def targetRank (r : A13Index.Triple (E := E) (F := F)) : ℕ :=
Module.finrank F2 r.2.2.range
omit [FiniteDimensional F2 E] [Finite E] [Finite F] [Fintype (E →ₗ[F2] F)] [Fintype (F →ₗ[F2] E)] in
theorem descendant_rank {d : ℕ} (a : Index (E := E) (F := F) d) :
targetRank (descendant a) = Module.finrank F2 a.1.val.2.2.range :=
A5Passage.descendant_rank a.1.val.1 a.1.val.2.1 a.1.val.2.2 a.2
omit [FiniteDimensional F2 E] [Finite E] [Finite F] [Fintype (E →ₗ[F2] F)] [Fintype (F →ₗ[F2] E)] in
theorem original_size {d : ℕ} (a : Index (E := E) (F := F) d) :
sourceI a + sourceJ a + targetRank (descendant a) = A13Index.size a.1.val := by
rw [descendant_rank]
rfl
omit [FiniteDimensional F2 E] [Finite E] [Finite F] [Fintype (E →ₗ[F2] F)] [Fintype (F →ₗ[F2] E)] in
theorem original_order_bounds {d : ℕ} (a : Index (E := E) (F := F) d) :
1 ≤ sourceI a + sourceJ a + targetRank (descendant a) ∧
sourceI a + sourceJ a + targetRank (descendant a) ≤ d := by
rw [original_size]
exact a.1.property
omit [Finite E] [Finite F] [Fintype (E →ₗ[F2] F)] [Fintype (F →ₗ[F2] E)] in
theorem descendant_size_le {d : ℕ} (a : Index (E := E) (F := F) d) :
A13Index.size (descendant a) ≤ d :=
A5Passage.effective_order_rank_le a.1.val.1 a.1.val.2.1 a.1.val.2.2 d
a.1.property.2 a.2
omit [FiniteDimensional F2 E] [FiniteDimensional F2 F] [Finite E] [Finite F] [Fintype (E →ₗ[F2] F)] [Fintype (F →ₗ[F2] E)] in
theorem earlierA_le {d : ℕ} (a : Index (E := E) (F := F) d) :
a.1.val.1 ≤ (descendant a).1 := by
intro x hx
change a.1.val.1.mkQ x ∈ a.2.2.val.1
rw [show a.1.val.1.mkQ x = 0 from (Submodule.Quotient.mk_eq_zero _).mpr hx]
exact a.2.2.val.1.zero_mem
omit [FiniteDimensional F2 E] [FiniteDimensional F2 F] [Finite E] [Finite F] [Fintype (E →ₗ[F2] F)] [Fintype (F →ₗ[F2] E)] in
theorem earlierB_le {d : ℕ} (a : Index (E := E) (F := F) d) :
(descendant a).2.1 ≤ a.1.val.2.1 := by
rintro x ⟨b, hb, rfl⟩
exact b.property
abbrev Fiber (d : ℕ) (r : A13Index.Triple (E := E) (F := F)) (i j : ℕ) :=
{a : Index (E := E) (F := F) d //
descendant a = r ∧ sourceI a = i ∧ sourceJ a = j}
def encode (d : ℕ) (r : A13Index.Triple (E := E) (F := F)) (i j : ℕ)
(a : Fiber d r i j) : A5ReverseIndex.Ancestor r.1 r.2.1 r.2.2 i j := by
rcases a with ⟨a, hr, hi, hj⟩
cases hr
refine ⟨⟨a.1.val.1, earlierA_le a, hi⟩,
⟨a.1.val.2.1, earlierB_le a, hj⟩, ⟨a.1.val.2.2, ?_⟩⟩
exact A5FrequencyTransport.isAntecedent_relativeFrequency_dualFactor
a.1.val.1 a.1.val.2.1 a.2.2.val.1 a.2.2.val.2
(earlierA_le a) (earlierB_le a) a.1.val.2.2
a.2.2.property.1.symm a.2.2.property.2.2.1
def earlierTriple {A' : Submodule F2 E} {B' : Submodule F2 F}
{Y : B' →ₗ[F2] (E ⧸ A')} {i j : ℕ}
(a : A5ReverseIndex.Ancestor A' B' Y i j) : A13Index.Triple (E := E) (F := F) :=
⟨a.1.val, a.2.1.val, a.2.2.val⟩
omit [Fintype (E →ₗ[F2] F)] [Fintype (F →ₗ[F2] E)] in
omit [FiniteDimensional F2 E] [FiniteDimensional F2 F] [Finite E] [Finite F] in
theorem earlierTriple_encode (d : ℕ)
(r : A13Index.Triple (E := E) (F := F)) (i j : ℕ) (a : Fiber d r i j) :
earlierTriple (encode d r i j a) = a.val.1.val := by
rcases a with ⟨a, hr, hi, hj⟩
cases hr
rfl
omit [Fintype (E →ₗ[F2] F)] [Fintype (F →ₗ[F2] E)] in
omit [FiniteDimensional F2 E] [FiniteDimensional F2 F] [Finite E] [Finite F] in
theorem encode_injective (d : ℕ)
(r : A13Index.Triple (E := E) (F := F)) (i j : ℕ) :
Function.Injective (encode d r i j) := by
intro a b hab
have hraw : a.val.1.val = b.val.1.val := by
simpa only [earlierTriple_encode] using congrArg earlierTriple hab
have hbase : a.val.1 = b.val.1 := Subtype.ext hraw
have hresult : descendant a.val = descendant b.val := a.property.1.trans b.property.1.symm
rcases a with ⟨⟨r₁, p⟩, ha⟩
rcases b with ⟨⟨r₂, q⟩, hb⟩
change r₁ = r₂ at hbase
cases hbase
have hA := congrArg (fun z : A13Index.Triple (E := E) (F := F) => z.1) hresult
have hB := congrArg (fun z : A13Index.Triple (E := E) (F := F) => z.2.1) hresult
change p.2.val.1.comap r₁.val.1.mkQ = q.2.val.1.comap r₁.val.1.mkQ at hA
change p.2.val.2.map r₁.val.2.1.subtype = q.2.val.2.map r₁.val.2.1.subtype at hB
have hpq : p = q := A5Passage.forget_injective r₁.val.2.2 _
(Prod.ext (A5Passage.comap_mkQ_injective r₁.val.1 hA)
(A5Passage.map_subtype_injective r₁.val.2.1 hB))
cases hpq
rfl
local instance indexFintype (d : ℕ) : Fintype (Index (E := E) (F := F) d) := by
letI := A13Index.boundedPositiveTripleFintype (E := E) (F := F) d
exact inferInstance
variable [Fintype (Submodule F2 E)] [Fintype (Submodule F2 F)]
omit [Fintype (E →ₗ[F2] F)] [Fintype (F →ₗ[F2] E)] in
theorem card_fiber_le (d : ℕ) (r : A13Index.Triple (E := E) (F := F)) (i j : ℕ) :
Nat.card (Fiber d r i j) ≤ 2 ^ (3 * (d * (i + j + targetRank r))) := by
by_cases hn : Nonempty (Fiber d r i j)
· obtain ⟨a⟩ := hn
have hsize : A13Index.size r ≤ d := by
rw [← a.property.1]
exact descendant_size_le a.val
have hA : Module.finrank F2 r.1 ≤ d := by
unfold A13Index.size order at hsize
omega
have hB : Module.finrank F2 (F ⧸ r.2.1) ≤ d := by
unfold A13Index.size order at hsize
omega
have ht : i + j + targetRank r ≤ d := by
have h := (original_order_bounds a.val).2
rwa [a.property.1, a.property.2.1, a.property.2.2] at h
have hcount := A5ReverseIndex.card_ancestor_le_source r.1 r.2.1 r.2.2
d i j (targetRank r) (le_refl _) hA hB ht
exact (Nat.card_le_card_of_injective (encode d r i j)
(encode_injective d r i j)).trans hcount
· have : IsEmpty (Fiber d r i j) := ⟨fun a => hn ⟨a⟩⟩
simp
end DFVSGames.Appendix.A5ForwardIndex
end
noncomputable section
open scoped BigOperators
namespace DFVSGames.Appendix.A5WeightedReindex
attribute [local instance] Classical.propDecidable
theorem exponent_weight_le (d t k : ℕ) (ht : t ≤ d) (hk : k ≤ t) :
(2 : ℝ) ^ (100 * (d - t) ^ 2 + 27 * d * t + 6 * d * k) ≤
(2 : ℝ) ^ (100 * d * d) * ((2 : ℝ)⁻¹) ^ (63 * d * t + 4 * d * k) := by
have he : (100 * (d - t) ^ 2 + 27 * d * t + 6 * d * k) +
(63 * d * t + 4 * d * k) ≤ 100 * d * d := by
simpa only [pow_two, Nat.mul_assoc, Nat.add_assoc] using
Induction.induction_exponent_budget d t k ht hk
have hp := pow_le_pow_right₀ (by norm_num : (1 : ℝ) ≤ 2) he
rw [pow_add] at hp
have hn : (2 : ℝ) ^ (63 * d * t + 4 * d * k) ≠ 0 := pow_ne_zero _ two_ne_zero
have hm := mul_le_mul_of_nonneg_right hp
(inv_nonneg.mpr (pow_nonneg (by norm_num : (0 : ℝ) ≤ 2) (63 * d * t + 4 * d * k)))
rw [mul_assoc, mul_inv_cancel₀ hn, mul_one] at hm
simpa only [inv_pow] using hm
theorem counted_weight_le (d t k c : ℕ) (ht : t ≤ d) (hk : k ≤ t)
(hc : c ≤ 2 ^ (3 * d * t)) :
(c : ℝ) * (2 : ℝ) ^ (100 * (d - t) ^ 2 + 24 * d * t + 6 * d * k) ≤
(2 : ℝ) ^ (100 * d * d) * ((2 : ℝ)⁻¹) ^ (63 * d * t + 4 * d * k) := by
have hc' : (c : ℝ) ≤ (2 : ℝ) ^ (3 * d * t) := by exact_mod_cast hc
calc
_ ≤ (2 : ℝ) ^ (3 * d * t) *
(2 : ℝ) ^ (100 * (d - t) ^ 2 + 24 * d * t + 6 * d * k) :=
mul_le_mul_of_nonneg_right hc' (pow_nonneg (by norm_num) _)
_ = (2 : ℝ) ^ (100 * (d - t) ^ 2 + 27 * d * t + 6 * d * k) := by
rw [← pow_add]
congr 1
ring
_ ≤ _ := exponent_weight_le d t k ht hk
variable {α β : Type*} [Fintype α] [Fintype β]
def fiber (result : α → β) (i j : α → ℕ) (b : β) (r s : ℕ) : Finset α :=
Finset.univ.filter (fun a => result a = b ∧ i a = r ∧ j a = s)
theorem sum_grouped (d : ℕ) (result : α → β) (i j : α → ℕ)
(hbound : ∀ a, i a ≤ d ∧ j a ≤ d) (C : β → ℕ → ℕ → ℝ) :
(∑ a, C (result a) (i a) (j a)) =
∑ b, ∑ r ∈ Finset.range (d + 1), ∑ s ∈ Finset.range (d + 1),
((fiber result i j b r s).card : ℝ) * C b r s := by
classical
let key : α → β × ℕ × ℕ := fun a => (result a, i a, j a)
let target : Finset (β × ℕ × ℕ) :=
Finset.univ ×ˢ (Finset.range (d + 1) ×ˢ Finset.range (d + 1))
let G : β × ℕ × ℕ → ℝ := fun p => C p.1 p.2.1 p.2.2
have hmap : ∀ a ∈ (Finset.univ : Finset α), key a ∈ target := by
intro a _
simp only [target, key, Finset.mem_product, Finset.mem_univ,
Finset.mem_range, true_and]
exact ⟨Nat.lt_succ_iff.mpr (hbound a).1, Nat.lt_succ_iff.mpr (hbound a).2⟩
have h := Finset.sum_fiberwise_of_maps_to' (s := Finset.univ) (t := target)
(g := key) hmap G
simpa only [target, Finset.sum_product, G, key, Prod.mk.injEq,
Finset.sum_const, nsmul_eq_mul, fiber] using h.symm
theorem weighted_reindex (d : ℕ) (hd : 1 ≤ d)
(result : α → β) (i j : α → ℕ) (k : β → ℕ) (w : β → ℝ)
(hw : ∀ b, 0 ≤ w b)
(horder : ∀ a, 1 ≤ i a + j a + k (result a) ∧ i a + j a + k (result a) ≤ d)
(hcard : ∀ b r s,
Nat.card {a : α // result a = b ∧ i a = r ∧ j a = s} ≤
2 ^ (3 * d * (r + s + k b))) :
(∑ a, (2 : ℝ) ^ (100 * (d - (i a + j a + k (result a))) ^ 2 +
24 * d * (i a + j a + k (result a)) + 6 * d * k (result a)) * w (result a)) ≤
(2 : ℝ) ^ (100 * d * d) *
∑ b, ((2 : ℝ)⁻¹) ^ (31 * d * (k b + 1) + 4 * d * k b) * w b := by
classical
let C : β → ℕ → ℕ → ℝ := fun b r s =>
(2 : ℝ) ^ (100 * (d - (r + s + k b)) ^ 2 +
24 * d * (r + s + k b) + 6 * d * k b) * w b
let envelope : β → ℝ := fun b =>
(2 : ℝ) ^ (100 * d * d) * ((2 : ℝ)⁻¹) ^ (4 * d * k b) * w b
have henvelope : ∀ b, 0 ≤ envelope b := by
intro b
exact mul_nonneg (mul_nonneg (pow_nonneg (by norm_num) _)
(pow_nonneg (by norm_num) _)) (hw b)
have hbound : ∀ a, i a ≤ d ∧ j a ≤ d := by
intro a
have h := (horder a).2
omega
have hfiber : ∀ b r s,
((fiber result i j b r s).card : ℝ) * C b r s ≤
envelope b * (if 1 ≤ r + s + k b then
((2 : ℝ)⁻¹) ^ (63 * d * (r + s + k b)) else 0) := by
intro b r s
by_cases hne : (fiber result i j b r s).Nonempty
· obtain ⟨a, ha⟩ := hne
rcases Finset.mem_filter.mp ha with ⟨_, hr, hi, hj⟩
have ht := horder a
rw [hr, hi, hj] at ht
have hc : (fiber result i j b r s).card ≤ 2 ^ (3 * d * (r + s + k b)) := by
simpa only [Nat.card_eq_fintype_card, Fintype.card_subtype, fiber] using hcard b r s
have hweight := counted_weight_le d (r + s + k b) (k b)
(fiber result i j b r s).card ht.2 (by omega) hc
rw [ite_eq_left ht.1]
calc
_ = (((fiber result i j b r s).card : ℝ) *
(2 : ℝ) ^ (100 * (d - (r + s + k b)) ^ 2 +
24 * d * (r + s + k b) + 6 * d * k b)) * w b := by
dsimp only [C]
ring
_ ≤ ((2 : ℝ) ^ (100 * d * d) *
((2 : ℝ)⁻¹) ^ (63 * d * (r + s + k b) + 4 * d * k b)) * w b :=
mul_le_mul_of_nonneg_right hweight (hw b)
_ = envelope b * ((2 : ℝ)⁻¹) ^ (63 * d * (r + s + k b)) := by
dsimp only [envelope]
rw [pow_add]
ring
· have hz : (fiber result i j b r s).card = 0 := by
exact Finset.card_eq_zero.mpr (Finset.not_nonempty_iff_eq_empty.mp hne)
rw [hz, Nat.cast_zero, zero_mul]
apply mul_nonneg (henvelope b)
split_ifs <;> positivity
change (∑ a, C (result a) (i a) (j a)) ≤ _
rw [sum_grouped d result i j hbound C]
calc
_ ≤ ∑ b, ∑ r ∈ Finset.range (d + 1), ∑ s ∈ Finset.range (d + 1),
envelope b * (if 1 ≤ r + s + k b then
((2 : ℝ)⁻¹) ^ (63 * d * (r + s + k b)) else 0) := by
apply Finset.sum_le_sum
intro b _
apply Finset.sum_le_sum
intro r _
exact Finset.sum_le_sum (fun s _ => hfiber b r s)
_ = ∑ b, envelope b *
(∑ r ∈ Finset.range (d + 1), ∑ s ∈ Finset.range (d + 1),
if 1 ≤ r + s + k b then ((2 : ℝ)⁻¹) ^ (63 * d * (r + s + k b)) else 0) := by
simp only [Finset.mul_sum]
_ ≤ ∑ b, envelope b * ((2 : ℝ)⁻¹) ^ (31 * d * (k b + 1)) := by
apply Finset.sum_le_sum
intro b _
exact mul_le_mul_of_nonneg_left (A5Scalar.a16_original_range d (k b) hd) (henvelope b)
_ = _ := by
rw [Finset.mul_sum]
apply Finset.sum_congr rfl
intro b _
dsimp only [envelope]
rw [pow_add]
ring
end DFVSGames.Appendix.A5WeightedReindex
end
noncomputable section
namespace DFVSGames.Appendix.A5ReverseSum
open scoped BigOperators
open DFVSGames.Integration.BinaryLinear
open DFVSGames.Fourier.MatrixRestrictions (order)
open Derivatives
open A5ForwardIndex
attribute [local instance] Classical.propDecidable
attribute [local instance] OperatorNorm.quotientFinite OperatorNorm.compressedDualFintype
attribute [local instance] SubspaceExtensions.subspaceFintype
variable {E F : Type*} [AddCommGroup E] [Module F2 E]
[AddCommGroup F] [Module F2 F]
[FiniteDimensional F2 E] [FiniteDimensional F2 F] [Finite E] [Finite F]
[Fintype (E →ₗ[F2] F)] [Fintype (F →ₗ[F2] E)]
def actualMoment (f : (E →ₗ[F2] F) → ℝ)
(r : A13Index.Triple (E := E) (F := F)) : ℝ :=
𝔼 T, (𝔼 N, mapDerivative r.2.2 (hybridDerivative r.1 r.2.1 T f) N ^ 2) ^ 2
def targetWeight (d : ℕ) (f : (E →ₗ[F2] F) → ℝ)
(r : A13Index.Triple (E := E) (F := F)) : ℝ :=
if order r.1 r.2.1 ≤ d then actualMoment f r else 0
omit [FiniteDimensional F2 E] [FiniteDimensional F2 F] in
theorem targetWeight_nonneg (d : ℕ) (f : (E →ₗ[F2] F) → ℝ)
(r : A13Index.Triple (E := E) (F := F)) : 0 ≤ targetWeight d f r := by
unfold targetWeight
split_ifs
· exact Finset.expect_nonneg fun _ _ => sq_nonneg _
· exact le_refl _
theorem targetWeight_descendant (d : ℕ) (f : (E →ₗ[F2] F) → ℝ)
(a : Index (E := E) (F := F) d) :
targetWeight d f (descendant a) = actualMoment f (descendant a) := by
have h := descendant_size_le a
have ho : order (descendant a).1 (descendant a).2.1 ≤ d := by
unfold A13Index.size at h
omega
exact ite_eq_left ho
omit [FiniteDimensional F2 E] [FiniteDimensional F2 F] [Fintype (E →ₗ[F2] F)] [Fintype (F →ₗ[F2] E)] in
theorem sum_triples_cutoff (d : ℕ)
(H : ∀ (A : Submodule F2 E) (B : Submodule F2 F),
(B →ₗ[F2] (E ⧸ A)) → ℝ) :
(∑ r : A13Index.Triple (E := E) (F := F),
if order r.1 r.2.1 ≤ d then H r.1 r.2.1 r.2.2 else 0) =
∑ s : HybridIndex (E := E) (F := F) d,
∑ Y : s.val.2 →ₗ[F2] (E ⧸ s.val.1), H s.val.1 s.val.2 Y := by
classical
let G : Submodule F2 E × Submodule F2 F → ℝ :=
fun p => ∑ Y : p.2 →ₗ[F2] (E ⧸ p.1), H p.1 p.2 Y
have hh : (∑ s : HybridIndex (E := E) (F := F) d, G s.val) =
∑ p : Submodule F2 E × Submodule F2 F,
if order p.1 p.2 ≤ d then G p else 0 := by
calc
_ = ∑ p ∈ Finset.univ.filter (fun p : Submodule F2 E × Submodule F2 F =>
order p.1 p.2 ≤ d), G p := by
exact (Finset.sum_subtype _ (by simp) G).symm
_ = _ := Finset.sum_filter _ _
change _ = ∑ s : HybridIndex (E := E) (F := F) d, G s.val
rw [hh, Fintype.sum_prod_type]
rw [Fintype.sum_sigma]
apply Finset.sum_congr rfl
intro A _
rw [Fintype.sum_sigma]
apply Finset.sum_congr rfl
intro B _
by_cases h : order A B ≤ d
· simp only [h, ite_true, G]
· simp only [h, ite_false, Finset.sum_const_zero]
omit [FiniteDimensional F2 E] [FiniteDimensional F2 F] in
theorem target_sum_eq (d : ℕ) (f : (E →ₗ[F2] F) → ℝ) :
(∑ r : A13Index.Triple (E := E) (F := F),
((2 : ℝ)⁻¹) ^ (31 * d * (targetRank r + 1) + 4 * d * targetRank r) *
targetWeight d f r) =
∑ s : HybridIndex (E := E) (F := F) d,
𝔼 T, ∑ Y : s.val.2 →ₗ[F2] (E ⧸ s.val.1),
((2 : ℝ)⁻¹) ^ (31 * d * (Module.finrank F2 Y.range + 1) +
4 * d * Module.finrank F2 Y.range) *
(𝔼 N, mapDerivative Y (hybridDerivative s.val.1 s.val.2 T f) N ^ 2) ^ 2 := by
let H : ∀ (A : Submodule F2 E) (B : Submodule F2 F),
(B →ₗ[F2] (E ⧸ A)) → ℝ := fun A B Y =>
((2 : ℝ)⁻¹) ^ (31 * d * (Module.finrank F2 Y.range + 1) +
4 * d * Module.finrank F2 Y.range) * actualMoment f ⟨A, B, Y⟩
calc
_ = ∑ r : A13Index.Triple (E := E) (F := F),
if order r.1 r.2.1 ≤ d then H r.1 r.2.1 r.2.2 else 0 := by
apply Finset.sum_congr rfl
rintro ⟨A, B, Y⟩ _
simp only [targetWeight, targetRank, H, mul_ite, mul_zero]
_ = ∑ s : HybridIndex (E := E) (F := F) d,
∑ Y : s.val.2 →ₗ[F2] (E ⧸ s.val.1), H s.val.1 s.val.2 Y :=
sum_triples_cutoff d H
_ = _ := ?_
apply Finset.sum_congr rfl
intro s _
rw [Finset.expect_sum_comm]
apply Finset.sum_congr rfl
intro Y _
rw [← Finset.mul_expect]
rfl
theorem source_summand_eq (d : ℕ) (f : (E →ₗ[F2] F) → ℝ)
(a : Index (E := E) (F := F) d) :
(2 : ℝ) ^ (100 * (d - (sourceI a + sourceJ a + targetRank (descendant a))) ^ 2 +
24 * d * (sourceI a + sourceJ a + targetRank (descendant a)) +
6 * d * targetRank (descendant a)) * targetWeight d f (descendant a) =
(2 : ℝ) ^ (100 * (d - A13Index.size a.1.val) ^ 2 +
24 * d * A13Index.size a.1.val + 6 * d * Module.finrank F2 a.1.val.2.2.range) *
actualMoment f (descendant a) := by
rw [original_size, descendant_rank, targetWeight_descendant]
theorem source_sum_eq (d : ℕ) (f : (E →ₗ[F2] F) → ℝ) :
(∑ a : Index (E := E) (F := F) d,
(2 : ℝ) ^ (100 * (d - (sourceI a + sourceJ a + targetRank (descendant a))) ^ 2 +
24 * d * (sourceI a + sourceJ a + targetRank (descendant a)) +
6 * d * targetRank (descendant a)) * targetWeight d f (descendant a)) =
∑ r : A13Index.BoundedPositiveTriple (E := E) (F := F) d,
(2 : ℝ) ^ (100 * (d - A13Index.size r.val) ^ 2 + 24 * d * A13Index.size r.val +
6 * d * Module.finrank F2 r.val.2.2.range) *
A5Passage.descendantSum r.val.1 r.val.2.1 r.val.2.2
(d - A13Index.size r.val) f := by
simp_rw [source_summand_eq]
rw [Fintype.sum_sigma]
apply Finset.sum_congr rfl
intro r _
rw [A5Passage.descendantSum, Finset.mul_sum]
apply Finset.sum_congr rfl
intro q _
rfl
theorem weighted_descendantSum_le (d : ℕ) (hd : 1 ≤ d)
(f : (E →ₗ[F2] F) → ℝ) :
(∑ r : A13Index.BoundedPositiveTriple (E := E) (F := F) d,
(2 : ℝ) ^ (100 * (d - A13Index.size r.val) ^ 2 + 24 * d * A13Index.size r.val +
6 * d * Module.finrank F2 r.val.2.2.range) *
A5Passage.descendantSum r.val.1 r.val.2.1 r.val.2.2
(d - A13Index.size r.val) f) ≤
(2 : ℝ) ^ (100 * d * d) *
∑ s : HybridIndex (E := E) (F := F) d,
𝔼 T, ∑ Y : s.val.2 →ₗ[F2] (E ⧸ s.val.1),
((2 : ℝ)⁻¹) ^ (31 * d * (Module.finrank F2 Y.range + 1) +
4 * d * Module.finrank F2 Y.range) *
(𝔼 N, mapDerivative Y (hybridDerivative s.val.1 s.val.2 T f) N ^ 2) ^ 2 := by
have h := A5WeightedReindex.weighted_reindex d hd
(descendant (E := E) (F := F) (d := d)) sourceI sourceJ targetRank
(targetWeight d f) (targetWeight_nonneg d f) original_order_bounds
(fun r i j => by simpa only [Nat.mul_assoc] using card_fiber_le d r i j)
rwa [source_sum_eq, target_sum_eq] at h
end DFVSGames.Appendix.A5ReverseSum
end
noncomputable section
namespace DFVSGames.Appendix.A5Induction
open scoped BigOperators
open DFVSGames.Fourier.MatrixCharacters DFVSGames.Fourier.MatrixFourier
open DFVSGames.Fourier.MatrixRestrictions
open DFVSGames.Appendix.Derivatives DFVSGames.Appendix.DerivativeDegree
open DFVSGames.Appendix.LevelInequality (frequencyRank)
attribute [local instance] Classical.propDecidable
attribute [local instance] OperatorNorm.quotientFinite OperatorNorm.compressedDualFintype
attribute [local instance] SubspaceExtensions.subspaceFintype
universe u v
def BoundAtDegree (d : ℕ) : Prop :=
∀ {E : Type u} {F : Type v}
[AddCommGroup E] [Module F2 E] [AddCommGroup F] [Module F2 F]
[FiniteDimensional F2 E] [FiniteDimensional F2 F]
[Finite E] [Finite F]
[Fintype (E →ₗ[F2] F)] [Fintype (F →ₗ[F2] E)]
(f : (E →ₗ[F2] F) → ℝ),
DegreeAtMost d f →
(𝔼 M, f M ^ 4) ≤ (2 : ℝ) ^ (100 * d * d) * hybridMomentSum d f
theorem damping_le (d k : ℕ) :
(1 / 2 : ℝ) ^ (31 * d * (k + 1) + 4 * d * k) ≤
(1 / 2 : ℝ) ^ (31 * d) * (1 / 2 : ℝ) ^ (8 * d * k) := by
have hpow (n : ℕ) : (1 / 2 : ℝ) ^ n ≤ 1 := by
induction n with
| zero => norm_num
| succ n ih =>
rw [pow_succ]
have hn := pow_nonneg (by norm_num : (0 : ℝ) ≤ 1 / 2) n
nlinarith
have he : 31 * d * (k + 1) + 4 * d * k =
(31 * d + 8 * d * k) + 27 * d * k := by ring
rw [he, pow_add, pow_add]
have hh := mul_le_mul_of_nonneg_left (hpow (27 * d * k))
(mul_nonneg (pow_nonneg (by norm_num : (0 : ℝ) ≤ 1 / 2) (31 * d))
(pow_nonneg (by norm_num : (0 : ℝ) ≤ 1 / 2) (8 * d * k)))
simpa only [mul_one] using hh
theorem coefficient_absorption (d : ℕ) (hd : 1 ≤ d) :
(162 : ℝ) * ((2 : ℝ) ^ (6 * d * d) +
(2 : ℝ) ^ (100 * d * d) * (2 * (1 / 2 : ℝ) ^ (31 * d))) ≤
(2 : ℝ) ^ (100 * d * d) := by
have hfirst : (2 : ℝ) ^ (100 * d * d) *
((2 : ℝ) ^ (94 * d * d))⁻¹ = (2 : ℝ) ^ (6 * d * d) := by
have he : 100 * d * d = 6 * d * d + 94 * d * d := by ring
rw [he, pow_add, mul_assoc, mul_inv_cancel₀ (pow_ne_zero _ (by norm_num : (2 : ℝ) ≠ 0)),
mul_one]
have he : 31 * d = (31 * d - 1) + 1 := by omega
have hsecond : ((2 : ℝ) ^ (31 * d - 1))⁻¹ =
2 * (1 / 2 : ℝ) ^ (31 * d) := by
calc
((2 : ℝ) ^ (31 * d - 1))⁻¹ = (1 / 2 : ℝ) ^ (31 * d - 1) := by
rw [one_div, inv_pow]
_ = 2 * ((1 / 2 : ℝ) ^ (31 * d - 1) * (1 / 2 : ℝ)) := by ring
_ = _ := by rw [← pow_succ, ← he]
have hscaled := mul_le_mul_of_nonneg_right (A5Scalar.absorption hd)
(pow_nonneg (by norm_num : (0 : ℝ) ≤ 2) (100 * d * d))
calc
(162 : ℝ) * ((2 : ℝ) ^ (6 * d * d) +
(2 : ℝ) ^ (100 * d * d) * (2 * (1 / 2 : ℝ) ^ (31 * d))) =
162 * (((2 : ℝ) ^ (94 * d * d))⁻¹ +
((2 : ℝ) ^ (31 * d - 1))⁻¹) * (2 : ℝ) ^ (100 * d * d) := by
symm
calc
_ = 162 * ((2 : ℝ) ^ (100 * d * d) * ((2 : ℝ) ^ (94 * d * d))⁻¹ +
(2 : ℝ) ^ (100 * d * d) * ((2 : ℝ) ^ (31 * d - 1))⁻¹) := by ring
_ = _ := by rw [hfirst, hsecond]
_ ≤ _ := by simpa only [one_mul] using hscaled
variable {E : Type u} {F : Type v}
variable [AddCommGroup E] [Module F2 E] [AddCommGroup F] [Module F2 F]
variable [FiniteDimensional F2 E] [FiniteDimensional F2 F]
variable [Finite E] [Finite F]
variable [Fintype (E →ₗ[F2] F)] [Fintype (F →ₗ[F2] E)]
def dampedMapMoment (d : ℕ) (f : (E →ₗ[F2] F) → ℝ) : ℝ :=
∑ X : F →ₗ[F2] E,
(1 / 2 : ℝ) ^ (31 * d * (frequencyRank X + 1) + 4 * d * frequencyRank X) *
(𝔼 N, mapDerivative X f N ^ 2) ^ 2
theorem dampedMapMoment_le (d : ℕ) (f : (E →ₗ[F2] F) → ℝ)
(hf : DegreeAtMost d f) :
dampedMapMoment d f ≤
(2 * (1 / 2 : ℝ) ^ (31 * d)) * (𝔼 M, f M ^ 2) ^ 2 := by
have hterms : dampedMapMoment d f ≤ (1 / 2 : ℝ) ^ (31 * d) *
∑ X : F →ₗ[F2] E, (1 / 2 : ℝ) ^ (8 * d * frequencyRank X) *
(𝔼 N, mapDerivative X f N ^ 2) ^ 2 := by
unfold dampedMapMoment
rw [Finset.mul_sum]
apply Finset.sum_le_sum
intro X _
have hh := mul_le_mul_of_nonneg_right (damping_le d (frequencyRank X))
(sq_nonneg (𝔼 N, mapDerivative X f N ^ 2))
simpa only [mul_assoc] using hh
have hbase := weighted_fourth_derivative_energy f d (fun Y hY => hf Y hY)
have hbase' :
(∑ X : F →ₗ[F2] E, (1 / 2 : ℝ) ^ (8 * d * frequencyRank X) *
(𝔼 N, mapDerivative X f N ^ 2)^2) ≤ 2 * (𝔼 M, f M ^ 2)^2 := by
simpa only [one_div, frequencyRank] using hbase
calc
dampedMapMoment d f ≤ _ := hterms
_ ≤ (1 / 2 : ℝ) ^ (31 * d) * (2 * (𝔼 M, f M ^ 2) ^ 2) :=
mul_le_mul_of_nonneg_left hbase'
(pow_nonneg (by norm_num : (0 : ℝ) ≤ 1 / 2) _)
_ = _ := by ring
def dampedHybridMoment (d : ℕ) (f : (E →ₗ[F2] F) → ℝ) : ℝ :=
∑ s : HybridIndex (E := E) (F := F) d,
𝔼 T, dampedMapMoment d (hybridDerivative s.val.1 s.val.2 T f)
theorem dampedHybridMoment_le (d : ℕ) (f : (E →ₗ[F2] F) → ℝ)
(hf : DegreeAtMost d f) :
dampedHybridMoment d f ≤
(2 * (1 / 2 : ℝ) ^ (31 * d)) * hybridMomentSum d f := by
unfold dampedHybridMoment hybridMomentSum
rw [Finset.mul_sum]
apply Finset.sum_le_sum
intro s _
calc
(𝔼 T, dampedMapMoment d (hybridDerivative s.val.1 s.val.2 T f)) ≤
𝔼 T, (2 * (1 / 2 : ℝ) ^ (31 * d)) *
(𝔼 N, hybridDerivative s.val.1 s.val.2 T f N ^ 2) ^ 2 := by
apply Finset.expect_le_expect
intro T _
exact dampedMapMoment_le d _
((degree_hybridDerivative s.val.1 s.val.2 T f hf).mono (Nat.sub_le _ _))
_ = _ := by rw [← Finset.mul_expect]
omit [Finite E] [Finite F] in
theorem hybridProjector_zero_pair (f : (E →ₗ[F2] F) → ℝ) :
hybridProjector (⊥ : Submodule F2 E) (⊤ : Submodule F2 F) f = f := by
apply function_eq_of_linearCoeff_eq
intro Y
simp [hybridProjector, linearCoeff_spectralProjector, LinearIdentities.Hybrid]
theorem energy_sq_le_hybridMomentSum (d : ℕ) (f : (E →ₗ[F2] F) → ℝ) :
(𝔼 M, f M ^ 2) ^ 2 ≤ hybridMomentSum d f := by
have hzero : Module.finrank F2 (F ⧸ (⊤ : Submodule F2 F)) = 0 := by
have hq := (⊤ : Submodule F2 F).finrank_quotient_add_finrank
have he : Module.finrank F2 (F ⧸ (⊤ : Submodule F2 F)) + Module.finrank F2 F =
Module.finrank F2 F := by simpa using hq
omega
let s0 : HybridIndex (E := E) (F := F) d := ⟨(⊥, ⊤), by
change Module.finrank F2 (⊥ : Submodule F2 E) +
Module.finrank F2 (F ⧸ (⊤ : Submodule F2 F)) ≤ d
rw [hzero]
simp⟩
have havg := hybridDerivative_energy_average
(⊥ : Submodule F2 E) (⊤ : Submodule F2 F) f
rw [hybridProjector_zero_pair] at havg
have hcs : (𝔼 T, 𝔼 N,
hybridDerivative (⊥ : Submodule F2 E) (⊤ : Submodule F2 F) T f N ^ 2) ^ 2 ≤
𝔼 T, (𝔼 N,
hybridDerivative (⊥ : Submodule F2 E) (⊤ : Submodule F2 F) T f N ^ 2) ^ 2 := by
simpa using Finset.expect_mul_sq_le_sq_mul_sq Finset.univ
(fun T => 𝔼 N,
hybridDerivative (⊥ : Submodule F2 E) (⊤ : Submodule F2 F) T f N ^ 2)
(fun _ => (1 : ℝ))
rw [havg] at hcs
apply hcs.trans
change (𝔼 T, (𝔼 N, hybridDerivative s0.val.1 s0.val.2 T f N ^ 2) ^ 2) ≤ _
unfold hybridMomentSum
let H : HybridIndex (E := E) (F := F) d → ℝ :=
fun s => 𝔼 T, (𝔼 N, hybridDerivative s.val.1 s.val.2 T f N ^ 2)^2
change H s0 ≤ ∑ s, H s
exact Finset.single_le_sum (f := H) (s := Finset.univ)
(fun s _ => Finset.expect_nonneg (fun T _ =>
sq_nonneg (𝔼 N, hybridDerivative s.val.1 s.val.2 T f N ^ 2)))
(Finset.mem_univ s0)
theorem degree_zero_bound (f : (E →ₗ[F2] F) → ℝ) (hf : DegreeAtMost 0 f) :
(𝔼 M, f M ^ 4) ≤ (2 : ℝ) ^ (100 * 0 * 0) * hybridMomentSum 0 f := by
rw [DegreeZero.fourth_moment_eq_energy_sq f (fun Y hY => hf Y hY)]
simpa using energy_sq_le_hybridMomentSum 0 f
theorem recurrence_closure (d : ℕ) (hd : 1 ≤ d)
(f : (E →ₗ[F2] F) → ℝ) (hf : DegreeAtMost d f)
(hrec : (𝔼 M, f M ^ 4) / 162 ≤
(2 : ℝ) ^ (6 * d * d) * (𝔼 M, f M ^ 2)^2 +
(2 : ℝ) ^ (100 * d * d) * dampedHybridMoment d f) :
(𝔼 M, f M ^ 4) ≤ (2 : ℝ) ^ (100 * d * d) * hybridMomentSum d f := by
have hS : 0 ≤ hybridMomentSum d f :=
Finset.sum_nonneg (fun s _ => Finset.expect_nonneg (fun T _ => sq_nonneg _))
have herror := mul_le_mul_of_nonneg_left (energy_sq_le_hybridMomentSum d f)
(pow_nonneg (by norm_num : (0 : ℝ) ≤ 2) (6 * d * d))
have hdamp := mul_le_mul_of_nonneg_left (dampedHybridMoment_le d f hf)
(pow_nonneg (by norm_num : (0 : ℝ) ≤ 2) (100 * d * d))
have hrec' : (𝔼 M, f M ^ 4) / 162 ≤
((2 : ℝ) ^ (6 * d * d) +
(2 : ℝ) ^ (100 * d * d) * (2 * (1 / 2 : ℝ) ^ (31 * d))) *
hybridMomentSum d f := by
calc
_ ≤ _ := hrec
_ ≤ (2 : ℝ) ^ (6 * d * d) * hybridMomentSum d f +
(2 : ℝ) ^ (100 * d * d) *
((2 * (1 / 2 : ℝ) ^ (31 * d)) * hybridMomentSum d f) :=
add_le_add herror hdamp
_ = _ := by ring
calc
(𝔼 M, f M ^ 4) = 162 * ((𝔼 M, f M ^ 4) / 162) := by ring
_ ≤ 162 * (((2 : ℝ) ^ (6 * d * d) +
(2 : ℝ) ^ (100 * d * d) * (2 * (1 / 2 : ℝ) ^ (31 * d))) *
hybridMomentSum d f) := mul_le_mul_of_nonneg_left hrec' (by norm_num)
_ = (162 * ((2 : ℝ) ^ (6 * d * d) +
(2 : ℝ) ^ (100 * d * d) * (2 * (1 / 2 : ℝ) ^ (31 * d)))) *
hybridMomentSum d f := by ring
_ ≤ _ := mul_le_mul_of_nonneg_right (coefficient_absorption d hd) hS
omit [Finite E] [Finite F] [Fintype (E →ₗ[F2] F)] [Fintype (F →ₗ[F2] E)] in
theorem lifted_outer_dimensions (X : F →ₗ[F2] E)
(C : Submodule F2 (E ⧸ X.range)) (D : Submodule F2 X.ker)
(d : ℕ) (hcut : Module.finrank F2 X.range + order C D ≤ d) :
Module.finrank F2 (C.comap X.range.mkQ) ≤ d ∧
Module.finrank F2 (F ⧸ D.map X.ker.subtype) ≤ d := by
have hC := HybridComposition.finrank_comap_mkQ X.range C
have hD := Submodule.finrank_map_subtype_eq X.ker D
have hKD := D.finrank_quotient_add_finrank
have hFD := (D.map X.ker.subtype).finrank_quotient_add_finrank
have hX := X.finrank_range_add_finrank_ker
change Module.finrank F2 X.range +
(Module.finrank F2 C + Module.finrank F2 (X.ker ⧸ D)) ≤ d at hcut
constructor <;> omega
theorem a5_energySquare_le_power (X : F →ₗ[F2] E)
(C : Submodule F2 (E ⧸ X.range)) (D : Submodule F2 X.ker)
[Fintype (OperatorPartitions.A5GeometricIndex X
(C.comap X.range.mkQ) (D.map X.ker.subtype))]
(d : ℕ) (hcut : Module.finrank F2 X.range + order C D ≤ d)
(f : (E →ₗ[F2] F) → ℝ) (S : Parameter X.range X.ker) :
(𝔼 N, hybridDerivative C D S (mapDerivative X f) N ^ 2) ^ 2 ≤
(2 : ℝ) ^ (6 * d * Module.finrank F2 X.range) *
∑ p : OperatorPartitions.A5GeometricIndex X
(C.comap X.range.mkQ) (D.map X.ker.subtype),
(𝔼 N, mapDerivative (LinearIdentities.compress X p.val.1 p.val.2)
(hybridDerivative p.val.1 p.val.2 (embed X.range X.ker S) f) N ^ 2)^2 := by
have hI : X.range ≤ C.comap X.range.mkQ := by
intro x hx
change X.range.mkQ x ∈ C
have hz : X.range.mkQ x = 0 := by
change x ∈ LinearMap.ker X.range.mkQ
simpa only [Submodule.ker_mkQ] using hx
rw [hz]
exact C.zero_mem
have hB : D.map X.ker.subtype ≤ X.ker := by
intro x hx
obtain ⟨y, hy, rfl⟩ := Submodule.mem_map.mp hx
exact y.property
have hCmap : (C.comap X.range.mkQ).map X.range.mkQ = C := by
ext x
constructor
· intro hx
obtain ⟨y, hy, rfl⟩ := Submodule.mem_map.mp hx
exact hy
· intro hx
obtain ⟨y, rfl⟩ := X.range.mkQ_surjective x
exact Submodule.mem_map.mpr ⟨y, hx, rfl⟩
have hDcomap : (D.map X.ker.subtype).comap X.ker.subtype = D := by
ext x
constructor
· intro hx
obtain ⟨y, hy, heq⟩ := Submodule.mem_map.mp hx
have hxy : y = x := Subtype.ext heq
simpa only [hxy] using hy
· intro hx
exact Submodule.mem_map.mpr ⟨x, hx, rfl⟩
have hdims := lifted_outer_dimensions X C D d hcut
have hcount := A5IndexCount.card_geometricIndex_cube_le X
(C.comap X.range.mkQ) (D.map X.ker.subtype) hI d hdims.1 hdims.2
rw [Nat.card_eq_fintype_card] at hcount
have hcountR :
(Fintype.card (OperatorPartitions.A5GeometricIndex X
(C.comap X.range.mkQ) (D.map X.ker.subtype)) : ℝ)^3 ≤
(2 : ℝ) ^ (6 * d * Module.finrank F2 X.range) := by exact_mod_cast hcount
have hn := OperatorNorm.a5_energySquare_le X
(C.comap X.range.mkQ) (D.map X.ker.subtype) hI hB f S
have hfinal := hn.trans
(mul_le_mul_of_nonneg_right hcountR
(Finset.sum_nonneg (fun p _ => sq_nonneg _)))
let energy (C' : Submodule F2 (E ⧸ X.range)) (D' : Submodule F2 X.ker) : ℝ :=
(𝔼 N, hybridDerivative C' D' S (mapDerivative X f) N ^ 2)^2
have he : energy ((C.comap X.range.mkQ).map X.range.mkQ)
((D.map X.ker.subtype).comap X.ker.subtype) = energy C D :=
congrArg₂ energy hCmap hDcomap
change energy ((C.comap X.range.mkQ).map X.range.mkQ)
((D.map X.ker.subtype).comap X.ker.subtype) ≤ _ at hfinal
rw [he] at hfinal
exact hfinal
def postA5Sum (X : F →ₗ[F2] E) (e : ℕ) (f : (E →ₗ[F2] F) → ℝ) : ℝ :=
∑ q : A5Passage.Passage X e, 𝔼 S : Parameter X.range X.ker,
(𝔼 N, mapDerivative (LinearIdentities.compress X q.2.val.1 q.2.val.2)
(hybridDerivative q.2.val.1 q.2.val.2 (embed X.range X.ker S) f) N ^ 2)^2
theorem mapDerivative_hybridMomentSum_le (d e : ℕ) (X : F →ₗ[F2] E)
(f : (E →ₗ[F2] F) → ℝ) (hcut : Module.finrank F2 X.range + e ≤ d) :
hybridMomentSum e (mapDerivative X f) ≤
(2 : ℝ) ^ (6 * d * Module.finrank F2 X.range) * postA5Sum X e f := by
unfold hybridMomentSum postA5Sum
rw [Fintype.sum_sigma, Finset.mul_sum]
apply Finset.sum_le_sum
intro s _
let : Fintype (OperatorPartitions.A5GeometricIndex X
(s.val.1.comap X.range.mkQ) (s.val.2.map X.ker.subtype)) :=
A5Passage.pairFintype X s
have hs : Module.finrank F2 X.range + order s.val.1 s.val.2 ≤ d := by
have ho := s.property
omega
calc
(𝔼 S, (𝔼 N, hybridDerivative s.val.1 s.val.2 S (mapDerivative X f) N ^ 2)^2) ≤
𝔼 S, (2 : ℝ) ^ (6 * d * Module.finrank F2 X.range) *
∑ p : A5Passage.Pair X s,
(𝔼 N, mapDerivative (LinearIdentities.compress X p.val.1 p.val.2)
(hybridDerivative p.val.1 p.val.2 (embed X.range X.ker S) f) N ^ 2)^2 := by
apply Finset.expect_le_expect
intro S _
exact a5_energySquare_le_power X s.val.1 s.val.2 d hs f S
_ = _ := by rw [← Finset.mul_expect, Finset.expect_sum_comm]
theorem postA5Sum_hybrid_average (A : Submodule F2 E) (B : Submodule F2 F)
(X : B →ₗ[F2] (E ⧸ A)) (e : ℕ) (f : (E →ₗ[F2] F) → ℝ) :
(𝔼 T, postA5Sum X e (hybridDerivative A B T f)) =
A5Passage.descendantSum A B X e f := by
unfold postA5Sum A5Passage.descendantSum
rw [Finset.expect_sum_comm]
apply Finset.sum_congr rfl
intro q _
simp_rw [NaturalTransport.nested_mapDerivative_energy
A B q.2.val.1 q.2.val.2 f]
exact Restriction.real_translation_average
(fun S : Parameter X.range X.ker => embed A B (embed X.range X.ker S))
(fun U => (𝔼 N, mapDerivative
(NaturalTransport.dualFactor A B q.2.val.1 q.2.val.2
(LinearIdentities.compress X q.2.val.1 q.2.val.2))
(hybridDerivative (q.2.val.1.comap A.mkQ) (q.2.val.2.map B.subtype) U f) N ^ 2)^2)
theorem a15_of_strong_induction (d t : ℕ) (A : Submodule F2 E)
(B : Submodule F2 F) (X : B →ₗ[F2] (E ⧸ A))
(ht : t = order A B + Module.finrank F2 X.range)
(htpos : 0 < t) (htd : t ≤ d)
(ih : ∀ e, e < d → BoundAtDegree.{u, v} e)
(f : (E →ₗ[F2] F) → ℝ) (hf : DegreeAtMost d f) :
(𝔼 T, 𝔼 N, mapDerivative X (hybridDerivative A B T f) N ^ 4) ≤
(2 : ℝ) ^ (100 * (d - t) * (d - t) + 6 * d * Module.finrank F2 X.range) *
A5Passage.descendantSum A B X (d - t) f := by
have hlt : d - t < d := by omega
have hcut : Module.finrank F2 X.range + (d - t) ≤ d := by omega
have hpoint (T : E →ₗ[F2] F) :
(𝔼 N, mapDerivative X (hybridDerivative A B T f) N ^ 4) ≤
(2 : ℝ) ^ (100 * (d - t) * (d - t) + 6 * d * Module.finrank F2 X.range) *
postA5Sum X (d - t) (hybridDerivative A B T f) := by
have hdeg : DegreeAtMost (d - t) (mapDerivative X (hybridDerivative A B T f)) := by
simpa only [ht, frequencyRank] using degree_map_hybridDerivative A B X T f hf
have hIH := ih (d - t) hlt (mapDerivative X (hybridDerivative A B T f)) hdeg
have hnorm := mapDerivative_hybridMomentSum_le d (d - t) X
(hybridDerivative A B T f) hcut
calc
(𝔼 N, mapDerivative X (hybridDerivative A B T f) N ^ 4) ≤
(2 : ℝ) ^ (100 * (d - t) * (d - t)) *
hybridMomentSum (d - t) (mapDerivative X (hybridDerivative A B T f)) := hIH
_ ≤ (2 : ℝ) ^ (100 * (d - t) * (d - t)) *
((2 : ℝ) ^ (6 * d * Module.finrank F2 X.range) *
postA5Sum X (d - t) (hybridDerivative A B T f)) :=
mul_le_mul_of_nonneg_left hnorm (pow_nonneg (by norm_num : (0 : ℝ) ≤ 2) _)
_ = _ := by rw [pow_add]; ring
calc
(𝔼 T, 𝔼 N, mapDerivative X (hybridDerivative A B T f) N ^ 4) ≤
𝔼 T, (2 : ℝ) ^ (100 * (d - t) * (d - t) + 6 * d * Module.finrank F2 X.range) *
postA5Sum X (d - t) (hybridDerivative A B T f) :=
Finset.expect_le_expect (fun T _ => hpoint T)
_ = _ := by rw [← Finset.mul_expect, postA5Sum_hybrid_average]
theorem boundedTripleSum_le_descendants (d : ℕ)
(ih : ∀ e, e < d → BoundAtDegree.{u, v} e)
(f : (E →ₗ[F2] F) → ℝ) (hf : DegreeAtMost d f) :
A13Reduction.boundedPositiveTripleSum d f ≤
∑ p : A13Index.BoundedPositiveTriple (E := E) (F := F) d,
(2 : ℝ) ^ (100 * (d - A13Index.size p.val)^2 +
24 * d * A13Index.size p.val + 6 * d * Module.finrank F2 p.val.2.2.range) *
A5Passage.descendantSum p.val.1 p.val.2.1 p.val.2.2
(d - A13Index.size p.val) f := by
unfold A13Reduction.boundedPositiveTripleSum
apply Finset.sum_le_sum
intro p _
have h15 := a15_of_strong_induction d (A13Index.size p.val)
p.val.1 p.val.2.1 p.val.2.2 rfl p.property.1 p.property.2 ih f hf
have hw := mul_le_mul_of_nonneg_left h15
(pow_nonneg (by norm_num : (0 : ℝ) ≤ 2) (24 * d * A13Index.size p.val))
have he : 24 * d * A13Index.size p.val +
(100 * (d - A13Index.size p.val) * (d - A13Index.size p.val) +
6 * d * Module.finrank F2 p.val.2.2.range) =
100 * (d - A13Index.size p.val)^2 + 24 * d * A13Index.size p.val +
6 * d * Module.finrank F2 p.val.2.2.range := by ring
calc
A13Reduction.tripleTerm d p.val f ≤
(2 : ℝ) ^ (24 * d * A13Index.size p.val) *
((2 : ℝ) ^ (100 * (d - A13Index.size p.val) * (d - A13Index.size p.val) +
6 * d * Module.finrank F2 p.val.2.2.range) *
A5Passage.descendantSum p.val.1 p.val.2.1 p.val.2.2
(d - A13Index.size p.val) f) := hw
_ = ((2 : ℝ) ^ (24 * d * A13Index.size p.val) *
(2 : ℝ) ^ (100 * (d - A13Index.size p.val) * (d - A13Index.size p.val) +
6 * d * Module.finrank F2 p.val.2.2.range)) *
A5Passage.descendantSum p.val.1 p.val.2.1 p.val.2.2
(d - A13Index.size p.val) f := by ring
_ = _ := by rw [← pow_add, he]
theorem boundAtDegree (d : ℕ) : BoundAtDegree.{u, v} d := by
induction d using Nat.strong_induction_on with
| h d ih =>
intro E F instE instME instF instMF instDE instDF instFiniteE instFiniteF
instHom instDual f hf
by_cases hz : d = 0
· subst d
exact degree_zero_bound f hf
· have hd : 1 ≤ d := by omega
have hreverse :
(∑ p : A13Index.BoundedPositiveTriple (E := E) (F := F) d,
(2 : ℝ) ^ (100 * (d - A13Index.size p.val)^2 +
24 * d * A13Index.size p.val + 6 * d * Module.finrank F2 p.val.2.2.range) *
A5Passage.descendantSum p.val.1 p.val.2.1 p.val.2.2
(d - A13Index.size p.val) f) ≤
(2 : ℝ) ^ (100 * d * d) * dampedHybridMoment d f := by
simpa only [dampedHybridMoment, dampedMapMoment, frequencyRank, one_div] using
A5ReverseSum.weighted_descendantSum_le d hd f
have hbounded := (boundedTripleSum_le_descendants d ih f hf).trans hreverse
have hA13 := A13Reduction.degree_reduction_truncated f d hf
apply recurrence_closure d hd f hf
simpa only [pow_two, Nat.mul_assoc] using
hA13.trans (add_le_add le_rfl hbounded)
theorem derivative_inequality (d : ℕ) (f : (E →ₗ[F2] F) → ℝ)
(hf : DegreeAtMost d f) :
(𝔼 M, f M ^ 4) ≤ (2 : ℝ) ^ (100 * d ^ 2) * hybridMomentSum d f := by
simpa only [pow_two, Nat.mul_assoc] using boundAtDegree.{u, v} d f hf
end DFVSGames.Appendix.A5Induction
end
end OAI