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