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import OAI.LinearAlgebra.MatrixMultiplication.AuxiliarySeparation.Spectrum.NormalizedStates
import OAI.LinearAlgebra.MatrixMultiplication.AuxiliarySeparation.Convex.Farkas
import OAI.LinearAlgebra.MatrixMultiplication.AuxiliarySeparation.Spectrum.Catalyst
import OAI.LinearAlgebra.MatrixMultiplication.AuxiliarySeparation.Spectrum.Coordinates
import Mathlib.GroupTheory.MonoidLocalization.GrothendieckGroup
import Mathlib.LinearAlgebra.Finsupp.LinearCombination
import Mathlib.Tactic
namespace OAI
/-!+# Finite obstructions to normalized additive states
The state equations are homogeneous integer inequalities, except for the
normalization at the unit. Their finite certificates are interpreted in the
additive group completion, preserving catalysts in the original semiring.
-/
noncomputable section
namespace MatrixMultiplication.AuxiliarySeparation
open Set
variable {S : Type*} [CommSemiring S] [Preorder S]
/-- The homogeneous inequalities defining a normalized additive state. Both
signs of the additive relation are included. -/
inductive StateConstraint (S : Type*) [Preorder S] where
| lower (x : S)
| upper (x : S)
| addPos (x y : S)
| addNeg (x y : S)
| order (x y : S) (h : x ≤ y)
| detector (x : S)
/-- Integer coefficient vector of a homogeneous state constraint. -/
def stateConstraintVector (R : S → ℕ) (d : S) (k : ℕ)
(c : StateConstraint S) : S →₀ ℤ := by
classical
exact match c with
| .lower x => Finsupp.single x 1
| .upper x => Finsupp.single (1 : S) (R x : ℤ) - Finsupp.single x 1
| .addPos x y => Finsupp.single (x + y) 1 - Finsupp.single x 1 - Finsupp.single y 1
| .addNeg x y => -(Finsupp.single (x + y) 1 - Finsupp.single x 1 - Finsupp.single y 1)
| .order x y _ => Finsupp.single y 1 - Finsupp.single x 1
| .detector x => Finsupp.single (d * x) 1 - Finsupp.single x (k : ℤ)
/-- Evaluation of a finite integer coefficient vector on a real-valued function. -/
def statePairing (f : S → ℝ) : (S →₀ ℤ) →ₗ[ℤ] ℝ :=
Finsupp.linearCombination ℤ f
omit [CommSemiring S] [Preorder S] in
theorem statePairing_apply (f : S → ℝ) (v : S →₀ ℤ) :
statePairing f v = ∑ x ∈ v.support, (v x : ℝ) * f x := by
simp [statePairing, Finsupp.linearCombination_apply, Finsupp.sum, zsmul_eq_mul]
omit [CommSemiring S] [Preorder S] in
@[simp] theorem statePairing_single (f : S → ℝ) (x : S) (n : ℤ) :
statePairing f (Finsupp.single x n) = (n : ℝ) * f x := by
simp [statePairing, zsmul_eq_mul]
omit [CommSemiring S] [Preorder S] in
theorem continuous_statePairing (v : S →₀ ℤ) :
Continuous (fun f : S → ℝ ↦ statePairing f v) := by
simp only [statePairing_apply]
exact continuous_finsetSum _ fun x _ ↦ continuous_const.mul (continuous_apply x)
theorem normalizedStates_iff_stateConstraint (R : S → ℕ) (d : S) (k : ℕ)
(f : S → ℝ) :
f ∈ normalizedStates (fun x ↦ (R x : ℝ)) d k ↔
f 1 = 1 ∧ ∀ c : StateConstraint S, 0 ≤ statePairing f (stateConstraintVector R d k c) := by
classical
constructor
· intro hf
refine ⟨hf.2.1, ?_⟩
intro c
cases c with
| lower x => simpa [stateConstraintVector] using (hf.1 x).1
| upper x =>
simp only [stateConstraintVector, map_sub, statePairing_single, Int.cast_natCast,
Int.cast_one, one_mul, hf.2.1, mul_one, sub_nonneg]
exact (hf.1 x).2
| addPos x y => simp [stateConstraintVector, hf.2.2.1]
| addNeg x y => simp [stateConstraintVector, hf.2.2.1]
| order x y h => simpa [stateConstraintVector, sub_nonneg] using hf.2.2.2.1 x y h
| detector x => simpa [stateConstraintVector, sub_nonneg] using hf.2.2.2.2 x
· rintro ⟨hn, hc⟩
refine ⟨?_, hn, ?_, ?_, ?_⟩
· intro x
constructor
· simpa [stateConstraintVector] using hc (.lower x)
· simpa [stateConstraintVector, hn, sub_nonneg] using hc (.upper x)
· intro x y
have hp := hc (.addPos x y)
have hm := hc (.addNeg x y)
simp [stateConstraintVector] at hp hm
linarith
· intro x y hxy
simpa [stateConstraintVector, sub_nonneg] using hc (.order x y hxy)
· intro x
simpa [stateConstraintVector, sub_nonneg] using hc (.detector x)
/-- The ordinary monotonicity difference in a state constraint. -/
def stateConstraintLower (c : StateConstraint S) : S :=
match c with
| .lower _ => 0
| .upper x => x
| .order x _ _ => x
| _ => 0
def stateConstraintUpper (R : S → ℕ) (c : StateConstraint S) : S :=
match c with
| .lower x => x
| .upper x => R x
| .order _ y _ => y
| _ => 0
/-- The multiplier of the distinguished detector difference. -/
def stateConstraintDetector (c : StateConstraint S) : S :=
match c with
| .detector x => x
| _ => 0
theorem stateConstraintLower_le_upper (R : S → ℕ)
(hzero : ∀ x : S, 0 ≤ x) (hbound : ∀ x : S, x ≤ (R x : S))
(c : StateConstraint S) :
stateConstraintLower c ≤ stateConstraintUpper R c := by
cases c with
| lower x => exact hzero x
| upper x => exact hbound x
| order _ _ h => exact h
| addPos _ _ => exact le_rfl
| addNeg _ _ => exact le_rfl
| detector _ => exact le_rfl
/-- Interpreting a constraint in the group completion separates its ordinary
order difference from its detector difference. -/
theorem stateConstraintVector_completion (R : S → ℕ) (d : S) (k : ℕ)
(c : StateConstraint S) :
Finsupp.linearCombination ℤ (Algebra.GrothendieckAddGroup.of (M := S))
(stateConstraintVector R d k c) =
Algebra.GrothendieckAddGroup.of (stateConstraintUpper R c) -
Algebra.GrothendieckAddGroup.of (stateConstraintLower c) +
Algebra.GrothendieckAddGroup.of (d * stateConstraintDetector c) -
k • Algebra.GrothendieckAddGroup.of (stateConstraintDetector c) := by
classical
have hcast (n : ℕ) : Algebra.GrothendieckAddGroup.of (n : S) =
n • Algebra.GrothendieckAddGroup.of (1 : S) := by
rw [← nsmul_one, map_nsmul]
cases c <;>
simp [stateConstraintVector, stateConstraintLower, stateConstraintUpper,
stateConstraintDetector, hcast, Nat.cast_smul_eq_nsmul, map_add] <;> abel
/-- In the absence of a catalytic obstruction, no positive multiple of the
negative unit is a natural combination of state-constraint vectors. -/
theorem no_stateConstraint_certificate (R : S → ℕ) (d : S) (k : ℕ)
(hzero : ∀ x : S, 0 ≤ x) (hbound : ∀ x : S, x ≤ (R x : S))
(hadd : ∀ a b c e : S, a ≤ b → c ≤ e → a + c ≤ b + e)
(hno : ∀ (D s : S) (m : ℕ), 0 < m →
¬D + (m : S) + d * s ≤ D + (k : S) * s)
{I : Type*} [Fintype I] (cs : I → StateConstraint S) :
¬∃ m : ℕ, 0 < m ∧ ∃ n : I → ℕ,
∑ i, n i • stateConstraintVector R d k (cs i) =
-(m : ℤ) • Finsupp.single (1 : S) (1 : ℤ) := by
classical
rintro ⟨m, hm, n, hn⟩
have heq := congrArg
(Finsupp.linearCombination ℤ (Algebra.GrothendieckAddGroup.of (M := S))) hn
simp only [map_sum, map_nsmul, map_smul, Finsupp.linearCombination_single,
one_smul, stateConstraintVector_completion] at heq
obtain ⟨D, hD⟩ := exists_catalyst_of_completion_sum_eq hadd m k d n
(fun i ↦ stateConstraintLower (cs i)) (fun i ↦ stateConstraintUpper R (cs i))
(fun i ↦ stateConstraintDetector (cs i))
(fun i ↦ stateConstraintLower_le_upper R hzero hbound (cs i)) heq.symm
exact hno D _ m hm hD
/-- Every finite family of constraints supported on `H` has a normalized
solution that vanishes outside `H`, provided no positive catalyst exists. -/
theorem finite_stateConstraint_solution (R : S → ℕ) (d : S) (k : ℕ)
(hzero : ∀ x : S, 0 ≤ x) (hbound : ∀ x : S, x ≤ (R x : S))
(hadd : ∀ a b c e : S, a ≤ b → c ≤ e → a + c ≤ b + e)
(hno : ∀ (D s : S) (m : ℕ), 0 < m →
¬D + (m : S) + d * s ≤ D + (k : S) * s)
{I : Type*} [Fintype I] (cs : I → StateConstraint S) (H : Finset S) (hOne : (1 : S) ∈ H)
(hH : ∀ i, (stateConstraintVector R d k (cs i)).support ⊆ H) :
∃ f : S → ℝ, f 1 = 1 ∧
(∀ i, 0 ≤ statePairing f (stateConstraintVector R d k (cs i))) ∧
∀ x ∉ H, f x = 0 := by
classical
let A : I → H → ℤ := fun i j ↦ stateConstraintVector R d k (cs i) j
let u : H → ℤ := fun j ↦ (Finsupp.single (1 : S) (1 : ℤ)) j
have hcert : ¬∃ m : ℕ, 0 < m ∧ ∃ n : I → ℕ,
∀ j, ∑ i, (n i : ℤ) * A i j = -(m : ℤ) * u j := by
rintro ⟨m, hm, n, hn⟩
apply no_stateConstraint_certificate R d k hzero hbound hadd hno cs
refine ⟨m, hm, n, ?_⟩
ext x
by_cases hx : x ∈ H
· have heq := hn ⟨x, hx⟩
by_cases hx1 : (1 : S) = x <;>
simpa [A, u, Finsupp.coe_finsetSum, Finset.sum_apply,
Finsupp.smul_apply, nsmul_eq_mul, zsmul_eq_mul, Finsupp.single_apply, hx1] using heq
· have hz : ∀ i, stateConstraintVector R d k (cs i) x = 0 := by
intro i
apply Finsupp.notMem_support_iff.mp
exact fun h ↦ hx (hH i h)
simp only [Finsupp.coe_finsetSum, Finset.sum_apply, Finsupp.smul_apply,
hz, smul_zero, Finset.sum_const_zero]
have hx1 : x ≠ 1 := by
rintro rfl
exact hx hOne
simp [hx1]
obtain ⟨L, hLu, hLA⟩ :=
exists_normalized_nonneg_linear_of_no_nat_certificate A u hcert
let f := finiteCoordinateState H L
refine ⟨f, ?_, ?_, ?_⟩
· have heq := linearCombination_finiteCoordinateState H L
(Finsupp.single (1 : S) (1 : ℤ))
simpa [f, u] using heq.trans hLu
· intro i
simpa only [statePairing, f, linearCombination_finiteCoordinateState, A] using hLA i
· intro x hx
exact finiteCoordinateState_eq_zero_of_not_mem H L hx
/-- A finite collection of state constraints can be solved while keeping all
coordinates in their rank intervals. -/
theorem bounded_finite_stateConstraint_solution (R : S → ℕ) (d : S) (k : ℕ)
(hzero : ∀ x : S, 0 ≤ x) (hbound : ∀ x : S, x ≤ (R x : S))
(hadd : ∀ a b c e : S, a ≤ b → c ≤ e → a + c ≤ b + e)
(hno : ∀ (D s : S) (m : ℕ), 0 < m →
¬D + (m : S) + d * s ≤ D + (k : S) * s)
(F : Finset (StateConstraint S)) :
∃ f : S → ℝ, (∀ x, 0 ≤ f x ∧ f x ≤ R x) ∧ f 1 = 1 ∧
∀ c ∈ F, 0 ≤ statePairing f (stateConstraintVector R d k c) := by
classical
let H : Finset S := insert 1 (F.biUnion fun c ↦ (stateConstraintVector R d k c).support)
have hOne : (1 : S) ∈ H := Finset.mem_insert_self _ _
let cs : F ⊕ (Bool × H) → StateConstraint S
| .inl c => c
| .inr (false, x) => .lower x
| .inr (true, x) => .upper x
have hH : ∀ i, (stateConstraintVector R d k (cs i)).support ⊆ H := by
intro i a ha
cases i with
| inl c =>
exact Finset.mem_insert_of_mem
(Finset.mem_biUnion.mpr ⟨c, c.property, ha⟩)
| inr i =>
rcases i with ⟨tag, x⟩
by_contra hnot
have ha1 : a ≠ 1 := by
rintro rfl
exact hnot hOne
have hax : a ≠ (x : S) := by
rintro rfl
exact hnot x.property
have ha0 := Finsupp.mem_support_iff.mp ha
cases tag <;>
simp [cs, stateConstraintVector, ha1, hax] at ha0
obtain ⟨f, hf1, hfc, hfzero⟩ :=
finite_stateConstraint_solution R d k hzero hbound hadd hno cs H hOne hH
refine ⟨f, ?_, hf1, ?_⟩
· intro x
by_cases hx : x ∈ H
· have hlo := hfc (.inr (false, ⟨x, hx⟩))
have hhi := hfc (.inr (true, ⟨x, hx⟩))
constructor
· simpa [cs, stateConstraintVector] using hlo
· simpa [cs, stateConstraintVector, hf1, sub_nonneg] using hhi
· rw [hfzero x hx]
exact ⟨le_rfl, Nat.cast_nonneg _⟩
· intro c hc
exact hfc (.inl ⟨c, hc⟩)
/-- Absence of positive scalar-gain catalysts guarantees the existence of a
normalized additive monotone state satisfying the detector inequality. -/
theorem normalizedStates_nonempty_of_no_catalyst (R : S → ℕ) (d : S) (k : ℕ)
(hzero : ∀ x : S, 0 ≤ x) (hbound : ∀ x : S, x ≤ (R x : S))
(hadd : ∀ a b c e : S, a ≤ b → c ≤ e → a + c ≤ b + e)
(hno : ∀ (D s : S) (m : ℕ), 0 < m →
¬D + (m : S) + d * s ≤ D + (k : S) * s) :
(normalizedStates (fun x ↦ (R x : ℝ)) d k).Nonempty := by
let B : Set (S → ℝ) := {f | ∀ x, 0 ≤ f x ∧ f x ≤ R x}
let K : Set (S → ℝ) := B ∩ {f | f 1 = 1}
let t : StateConstraint S → Set (S → ℝ) :=
fun c ↦ {f | 0 ≤ statePairing f (stateConstraintVector R d k c)}
have hBcompact : IsCompact B :=
isCompact_pi_infinite (fun x ↦ isCompact_Icc (a := (0 : ℝ)) (b := (R x : ℝ)))
have hKcompact : IsCompact K :=
hBcompact.inter_right (isClosed_eq (continuous_apply 1) continuous_const)
have htclosed : ∀ c, IsClosed (t c) := fun c ↦
isClosed_le continuous_const (continuous_statePairing (stateConstraintVector R d k c))
have hfinite : ∀ F : Finset (StateConstraint S), (K ∩ ⋂ c ∈ F, t c).Nonempty := by
intro F
obtain ⟨f, hfb, hf1, hfc⟩ :=
bounded_finite_stateConstraint_solution R d k hzero hbound hadd hno F
refine ⟨f, ⟨hfb, hf1⟩, ?_⟩
simp only [Set.mem_iInter]
exact hfc
obtain ⟨f, hfK, hft⟩ := hKcompact.inter_iInter_nonempty t htclosed hfinite
refine ⟨f, (normalizedStates_iff_stateConstraint R d k f).mpr ?_⟩
exact ⟨hfK.2, fun c ↦ Set.mem_iInter.mp hft c⟩
end MatrixMultiplication.AuxiliarySeparation
end
end OAI