import OAI.LinearAlgebra.MatrixMultiplication.JointExtraction.CoarseHashing import OAI.LinearAlgebra.MatrixMultiplication.JointExtraction.AssignmentLoss import OAI.LinearAlgebra.MatrixMultiplication.JointExtraction.ExtractionRates namespace OAI /-! Joint tensor extraction, compatibility and entropy estimates. -/ noncomputable section namespace MatrixMultiplication.JointMaskedSelection open JointCoarseHashing JointExtractionRates attribute [local instance] Classical.propDecidable variable {P E O V : Type*} structure OrbitData (P E O V : Type*) where ambient : Finset (Triple P) support : P → ℕ coarse : E → Triple P support_ambient : ∀ f ∈ ambient, HasSupportSum support f target_mem : ∀ e, coarse e ∈ ambient orbits : E → Finset O full : E → O → Finset V passing : E → O → Finset V full_pos : ∀ e, ∀ o ∈ orbits e, 0 < (full e o).card passing_subset : ∀ e, ∀ o ∈ orbits e, passing e o ⊆ full e o competitors : E → O → V → Finset (Triple P) competitor_mem : ∀ e, ∀ o ∈ orbits e, ∀ v ∈ passing e o, ∀ f ∈ competitors e o v, f ∈ ambient competitor_ne : ∀ e, ∀ o ∈ orbits e, ∀ v ∈ passing e o, ∀ f ∈ competitors e o v, f ≠ coarse e competitor_shares : ∀ e, ∀ o ∈ orbits e, ∀ v ∈ passing e o, ∀ f ∈ competitors e o v, SharesSide (coarse e) f namespace OrbitData def eligibilityCompetitors (d : OrbitData P E O V) (e : E) : Finset (Triple P) := d.ambient.filter (fun f => f ≠ d.coarse e ∧ f.1 = (d.coarse e).1) @[simp] theorem mem_eligibilityCompetitors (d : OrbitData P E O V) (e : E) (f : Triple P) : f ∈ d.eligibilityCompetitors e ↔ f ∈ d.ambient ∧ f ≠ d.coarse e ∧ f.1 = (d.coarse e).1 := by simp only [eligibilityCompetitors, Finset.mem_filter] section Finite variable [Fintype P] def variableBad (d : OrbitData P E O V) (k : ℕ) (U : Finset (ZMod (37 ^ k))) (e : E) (o : O) (v : V) (s : Sample P k) : Prop := ∃ f ∈ d.competitors e o v, Survives k U f s def eligibilityGood (d : OrbitData P E O V) (k : ℕ) (U : Finset (ZMod (37 ^ k))) (e : E) (s : Sample P k) : Prop := ¬ ∃ f ∈ d.eligibilityCompetitors e, Survives k U f s def Failure (d : OrbitData P E O V) (k : ℕ) (U : Finset (ZMod (37 ^ k))) (N : ℝ) (e : E) (s : Sample P k) : Prop := JointLossCounts.targetBad (d.orbits e) (d.full e) (d.passing e) (d.variableBad k U e) (d.eligibilityGood k U e) N s def Good (d : OrbitData P E O V) (k : ℕ) (U : Finset (ZMod (37 ^ k))) (N : ℝ) (e : E) (s : Sample P k) : Prop := Survives k U (d.coarse e) s ∧ ¬ d.Failure k U N e s def goodEvent (d : OrbitData P E O V) (k : ℕ) (U : Finset (ZMod (37 ^ k))) (N : ℝ) (e : E) : Finset (Sample P k) := (ownEvent k U (d.coarse e)).filter (fun s => ¬ d.Failure k U N e s) @[simp] theorem mem_goodEvent (d : OrbitData P E O V) (k : ℕ) (U : Finset (ZMod (37 ^ k))) (N : ℝ) (e : E) (s : Sample P k) : s ∈ d.goodEvent k U N e ↔ d.Good k U N e s := by simp only [goodEvent, ownEvent, Finset.mem_filter, Finset.mem_univ, true_and, Good] theorem variableBad_card_le (d : OrbitData P E O V) (k : ℕ) (U : Finset (ZMod (37 ^ k))) (e : E) (o : O) (ho : o ∈ d.orbits e) (v : V) (hv : v ∈ d.passing e o) (D : ℕ) (hdegree : (d.competitors e o v).card ≤ D) : (((ownEvent k U (d.coarse e)).filter (d.variableBad k U e o v)).card : ℝ) ≤ ((D : ℝ) / ((37 ^ k : ℕ) : ℝ)) * ((ownEvent k U (d.coarse e)).card : ℝ) := by have h := competitor_union_card_le k U d.support (d.coarse e) (d.support_ambient _ (d.target_mem e)) (d.competitors e o v) (fun f hf => d.support_ambient f (d.competitor_mem e o ho v hv f hf)) (d.competitor_ne e o ho v hv) (d.competitor_shares e o ho v hv) have hdegreeR : ((d.competitors e o v).card : ℝ) ≤ (D : ℝ) := by exact_mod_cast hdegree have hfilter : (ownEvent k U (d.coarse e)).filter (d.variableBad k U e o v) = (ownEvent k U (d.coarse e)).filter (fun s => ∃ f ∈ d.competitors e o v, Survives k U f s) := by ext s simp only [Finset.mem_filter, variableBad] rw [hfilter] exact h.trans (mul_le_mul_of_nonneg_right (div_le_div_of_nonneg_right hdegreeR (Nat.cast_nonneg _)) (Nat.cast_nonneg _)) theorem eligibilityFailure_card_le (d : OrbitData P E O V) (k : ℕ) (U : Finset (ZMod (37 ^ k))) (e : E) : (((ownEvent k U (d.coarse e)).filter (fun s => ¬ d.eligibilityGood k U e s)).card : ℝ) ≤ (((d.eligibilityCompetitors e).card : ℝ) / ((37 ^ k : ℕ) : ℝ)) * ((ownEvent k U (d.coarse e)).card : ℝ) := by have h := competitor_union_card_le k U d.support (d.coarse e) (d.support_ambient _ (d.target_mem e)) (d.eligibilityCompetitors e) (fun f hf => d.support_ambient f ((d.mem_eligibilityCompetitors e f).1 hf).1) (fun f hf => ((d.mem_eligibilityCompetitors e f).1 hf).2.1) (fun f hf => Or.inl ((d.mem_eligibilityCompetitors e f).1 hf).2.2) simpa only [eligibilityGood, not_not] using h theorem failure_card_le (d : OrbitData P E O V) (k : ℕ) (U : Finset (ZMod (37 ^ k))) (N : ℝ) (hN : 0 < N) (e : E) (D : ℕ) (hdegree : ∀ o ∈ d.orbits e, ∀ v ∈ d.passing e o, (d.competitors e o v).card ≤ D) : (((ownEvent k U (d.coarse e)).filter (d.Failure k U N e)).card : ℝ) ≤ (((d.eligibilityCompetitors e).card : ℝ) / ((37 ^ k : ℕ) : ℝ) + ((d.orbits e).card : ℝ) * N * ((D : ℝ) / ((37 ^ k : ℕ) : ℝ))) * ((ownEvent k U (d.coarse e)).card : ℝ) := by exact JointLossCounts.targetBad_card_le (ownEvent k U (d.coarse e)) (d.orbits e) (d.full e) (d.passing e) (d.variableBad k U e) (d.eligibilityGood k U e) ((D : ℝ) / ((37 ^ k : ℕ) : ℝ)) (((d.eligibilityCompetitors e).card : ℝ) / ((37 ^ k : ℕ) : ℝ)) N (div_nonneg (Nat.cast_nonneg _) (Nat.cast_nonneg _)) hN (d.full_pos e) (d.passing_subset e) (fun o ho v hv => d.variableBad_card_le k U e o ho v hv D (hdegree o ho v hv)) (d.eligibilityFailure_card_le k U e) theorem ownEvent_card_real (d : OrbitData P E O V) (k : ℕ) (U : Finset (ZMod (37 ^ k))) (e : E) : ((ownEvent k U (d.coarse e)).card : ℝ) = ((U.card : ℝ) / ((37 ^ k : ℕ) : ℝ) ^ 2) * (Fintype.card (Sample P k) : ℝ) := by have hsample : (Fintype.card (Sample P k) : ℝ) ≠ 0 := by exact_mod_cast Fintype.card_ne_zero have hf : ((ownEvent k U (d.coarse e)).card : ℝ) / (Fintype.card (Sample P k) : ℝ) = (U.card : ℝ) / ((37 ^ k : ℕ) : ℝ) ^ 2 := by change ((Finset.univ.filter (fun s => JointHashing.Survives (U : Set (ZMod (37 ^ k))) (castWord k (d.coarse e).1) (castWord k (d.coarse e).2.1) s)).card : ℝ) / (Fintype.card (JointHashing.Sample P (ZMod (37 ^ k))) : ℝ) = _ simpa only [Fintype.card_subtype, ZMod.card] using JointHashing.survival_fraction U (castWord k (d.coarse e).1) (castWord k (d.coarse e).2.1) exact (div_eq_iff hsample).mp hf theorem goodEvent_card_lower (d : OrbitData P E O V) (k : ℕ) (U : Finset (ZMod (37 ^ k))) (N : ℝ) (hN : 0 < N) (e : E) (D : ℕ) (hdegree : ∀ o ∈ d.orbits e, ∀ v ∈ d.passing e o, (d.competitors e o v).card ≤ D) (hsmall : ((d.eligibilityCompetitors e).card : ℝ) / ((37 ^ k : ℕ) : ℝ) + ((d.orbits e).card : ℝ) * N * ((D : ℝ) / ((37 ^ k : ℕ) : ℝ)) ≤ 1 / 2) : ((U.card : ℝ) / ((37 ^ k : ℕ) : ℝ) ^ 2 / 2) * (Fintype.card (Sample P k) : ℝ) ≤ (d.goodEvent k U N e).card := by have hb : (((ownEvent k U (d.coarse e)).filter (d.Failure k U N e)).card : ℝ) ≤ (1 / 2) * ((ownEvent k U (d.coarse e)).card : ℝ) := (d.failure_card_le k U N hN e D hdegree).trans (mul_le_mul_of_nonneg_right hsmall (Nat.cast_nonneg _)) have hg := JointLossCounts.good_card_lower (ownEvent k U (d.coarse e)) (d.Failure k U N e) (1 / 2) hb rw [d.ownEvent_card_real] at hg change _ ≤ ((d.goodEvent k U N e).card : ℝ) at hg convert hg using 1 ring theorem goodIncidence_eq (d : OrbitData P E O V) (k : ℕ) (U : Finset (ZMod (37 ^ k))) (N : ℝ) (e : E) : goodIncidence (fun s e => d.Good k U N e s) e = (d.goodEvent k U N e).card := by unfold goodIncidence congr 1 ext s simp only [Finset.mem_filter, Finset.mem_univ, true_and, mem_goodEvent] theorem good_eligibility (d : OrbitData P E O V) (k : ℕ) (U : Finset (ZMod (37 ^ k))) (N : ℝ) (e : E) (s : Sample P k) (hg : d.Good k U N e s) : d.eligibilityGood k U e s := by by_contra h exact hg.2 (Or.inl h) theorem good_no_shared_x (d : OrbitData P E O V) (k : ℕ) (U : Finset (ZMod (37 ^ k))) (N : ℝ) (e f : E) (s : Sample P k) (he : d.Good k U N e s) (hf : d.Good k U N f s) (hne : d.coarse f ≠ d.coarse e) : (d.coarse f).1 ≠ (d.coarse e).1 := by intro hx exact d.good_eligibility k U N e s he ⟨d.coarse f, (d.mem_eligibilityCompetitors e _).2 ⟨d.target_mem f, hne, hx⟩, hf.1⟩ theorem good_missingFraction_le (d : OrbitData P E O V) (k : ℕ) (U : Finset (ZMod (37 ^ k))) (C₀ N : ℝ) (e : E) (s : Sample P k) (hg : d.Good k U N e s) (hdet : ∀ o ∈ d.orbits e, JointLossCounts.deterministicLossFraction (d.full e o) (d.passing e o) ≤ C₀ / N) (o : O) (ho : o ∈ d.orbits e) : JointLossCounts.missingFraction (d.full e o) (d.passing e o) (d.variableBad k U e o) s ≤ (C₀ + 1) / N := JointLossCounts.good_missingFraction_le (d.orbits e) (d.full e) (d.passing e) (d.variableBad k U e) (d.eligibilityGood k U e) C₀ N s hg.2 (d.passing_subset e) hdet o ho theorem exists_selection [Fintype E] (d : OrbitData P E O V) (hinj : Function.Injective d.coarse) (k : ℕ) (U : Finset (ZMod (37 ^ k))) (C₀ N : ℝ) (hN : 0 < N) (D K : ℕ) (hdegree : ∀ e, ∀ o ∈ d.orbits e, ∀ v ∈ d.passing e o, (d.competitors e o v).card ≤ D) (hsmall : ∀ e, ((d.eligibilityCompetitors e).card : ℝ) / ((37 ^ k : ℕ) : ℝ) + ((d.orbits e).card : ℝ) * N * ((D : ℝ) / ((37 ^ k : ℕ) : ℝ)) ≤ 1 / 2) (hdet : ∀ e, ∀ o ∈ d.orbits e, JointLossCounts.deterministicLossFraction (d.full e o) (d.passing e o) ≤ C₀ / N) (hK : (K : ℝ) ≤ (Fintype.card E : ℝ) * ((U.card : ℝ) / ((37 ^ k : ℕ) : ℝ) ^ 2 / 2)) : ∃ (s : Sample P k) (G : Finset E), G.card = K ∧ (∀ e ∈ G, d.Good k U N e s) ∧ (∀ e ∈ G, ∀ f ∈ G, e ≠ f → (d.coarse e).1 ≠ (d.coarse f).1) ∧ ∀ e ∈ G, ∀ o ∈ d.orbits e, JointLossCounts.missingFraction (d.full e o) (d.passing e o) (d.variableBad k U e o) s ≤ (C₀ + 1) / N := by classical have hi (e : E) : ((U.card : ℝ) / ((37 ^ k : ℕ) : ℝ) ^ 2 / 2) * (Fintype.card (Sample P k) : ℝ) ≤ (goodIncidence (fun s e => d.Good k U N e s) e : ℝ) := by rw [d.goodIncidence_eq] exact d.goodEvent_card_lower k U N hN e D (hdegree e) (hsmall e) obtain ⟨s, hs⟩ := exists_goodCount_ge (fun s e => d.Good k U N e s) _ hi have hk : K ≤ goodCount (fun s e => d.Good k U N e s) s := by exact_mod_cast hK.trans hs obtain ⟨G, hcard, hgood⟩ := exists_good_subfamily (fun s e => d.Good k U N e s) s K hk refine ⟨s, G, hcard, hgood, ?_, ?_⟩ · intro e he f hf hne exact d.good_no_shared_x k U N f e s (hgood f hf) (hgood e he) (fun h => hne (hinj h)) · intro e he o ho exact d.good_missingFraction_le k U C₀ N e s (hgood e he) (hdet e) o ho end Finite end OrbitData end MatrixMultiplication.JointMaskedSelection end end OAI