import OAI.Probability.MatroidSecretary.Labels.FiniteLabelingModel import OAI.Probability.MatroidProphet.Main namespace OAI /-! Finite-label equivalence supporting the scope statement "every finite known labeled matroid". No positivity, nonempty-ground, or nonloop hypothesis occurs in the transport laws. The proof uses mathlib's actual matroid map, not a replacement independence predicate. -/ namespace MatroidProphet.Labeling open Finset variable {E F : Type*} [Fintype E] [Fintype F] theorem finiteOptimum_nonneg (M : Matroid E) (w : E → ℝ) : 0 ≤ finiteOptimum M w := by classical unfold finiteOptimum apply Finset.le_sup'_of_le _ (Finset.mem_univ ∅) simp theorem sum_le_finiteOptimum (M : Matroid E) (w : E → ℝ) (I : Finset E) (hI : M.Indep (I : Set E)) : (∑ e ∈ I, w e) ≤ finiteOptimum M w := by classical unfold finiteOptimum apply Finset.le_sup'_of_le _ (Finset.mem_univ I) simp [hI] omit [Fintype E] [Fintype F] in theorem mapEquiv_finset_indep (M : Matroid E) (e : E ≃ F) (I : Finset E) : (M.mapEquiv e).Indep (I.map e.toEmbedding : Set F) ↔ M.Indep (I : Set E) := by simp theorem finiteOptimum_mapEquiv (M : Matroid E) (e : E ≃ F) (w : E → ℝ) : finiteOptimum (M.mapEquiv e) (fun f => w (e.symm f)) = finiteOptimum M w := by classical apply le_antisymm · apply Finset.sup'_le intro I _ split_ifs with hI · have hi : M.Indep (I.map e.symm.toEmbedding : Set E) := by simpa using hI simpa using sum_le_finiteOptimum M w (I.map e.symm.toEmbedding) hi · exact finiteOptimum_nonneg M w · apply Finset.sup'_le intro I _ split_ifs with hI · have hi := (mapEquiv_finset_indep M e I).2 hI simpa using sum_le_finiteOptimum (M.mapEquiv e) (fun f => w (e.symm f)) (I.map e.toEmbedding) hi · exact finiteOptimum_nonneg (M.mapEquiv e) _ theorem finMatroid_ground (M : Matroid E) (hE : M.E = Set.univ) : (finMatroid M).E = Set.univ := by simp [finMatroid, hE] theorem finWeights_nonnegative_iff (w : E → ℝ) : (∀ i, 0 ≤ finWeights w i) ↔ ∀ e, 0 ≤ w e := by constructor · intro h e simpa [finWeights] using h ((Fintype.equivFin E) e) · intro h i exact h _ theorem optimum_finMatroid (M : Matroid E) (w : E → ℝ) : MatroidProphet.optimum (finMatroid M) (finWeights w) = finiteOptimum M w := finiteOptimum_mapEquiv M (Fintype.equivFin E) w section Online variable [MeasurableSpace E] [MeasurableSingletonClass E] {bits : ℕ} /-- Conjugate an actual online rule by a fixed label enumeration. In particular, the translated rule does not receive a future order or a future value. -/ noncomputable def relabelRule (A : OnlineRule (Fintype.card E) bits) : LabeledOnlineRule E bits where decide k r s h := A.decide k r (finWeights s) (encodeHistory (Fintype.equivFin E) k h) measurable_decide k := by have hm : Measurable (fun x : Seed bits × ((E → ℝ) × (Fin (k.val + 1) → E × ℝ)) => (x.1, (finWeights x.2.1, encodeHistory (Fintype.equivFin E) k x.2.2))) := by apply Measurable.prodMk measurable_fst apply Measurable.prodMk · apply Measurable.of_eval intro i exact (measurable_pi_apply ((Fintype.equivFin E).symm i)).comp (measurable_fst.comp measurable_snd) · apply Measurable.of_eval intro j have hj : Measurable (fun x : Seed bits × ((E → ℝ) × (Fin (k.val + 1) → E × ℝ)) => x.2.2 j) := (measurable_pi_apply j).comp (measurable_snd.comp measurable_snd) exact ((measurable_of_countable (Fintype.equivFin E)).comp (measurable_fst.comp hj)).prodMk (measurable_snd.comp hj) exact (A.measurable_decide k).comp hm omit [MeasurableSpace E] [MeasurableSingletonClass E] in theorem encode_labeledHistory (v : E → ℝ) (π : LabeledOrder E) (k : Fin (Fintype.card E)) : encodeHistory (Fintype.equivFin E) k (labeledHistory v π k) = history (finWeights v) (π.trans (Fintype.equivFin E)) k := by funext j simp [encodeHistory, labeledHistory, history, finWeights] theorem relabelRule_acceptedThrough (A : OnlineRule (Fintype.card E) bits) (r : Seed bits) (s v : E → ℝ) (π : LabeledOrder E) (t : ℕ) : (labeledAcceptedThrough (relabelRule A) r s v π t).map (Fintype.equivFin E).toEmbedding = acceptedThrough A r (finWeights s) (finWeights v) (π.trans (Fintype.equivFin E)) t := by classical ext index rw [Finset.mem_map_equiv] unfold labeledAcceptedThrough acceptedThrough rw [Finset.mem_filter, Finset.mem_filter] simp only [Finset.mem_univ, true_and, decisionAt, relabelRule, encode_labeledHistory] rfl theorem relabelRule_feasible (M : Matroid E) (A : OnlineRule (Fintype.card E) bits) (hA : Feasible (finMatroid M) A) (r : Seed bits) (s v : E → ℝ) (π : LabeledOrder E) (t : ℕ) (hs : ∀ e, 0 ≤ s e) (hv : ∀ e, 0 ≤ v e) : M.Indep (labeledAcceptedThrough (relabelRule A) r s v π t : Set E) := by have hi := hA r (finWeights s) (finWeights v) (π.trans (Fintype.equivFin E)) t ((finWeights_nonnegative_iff s).2 hs) ((finWeights_nonnegative_iff v).2 hv) rw [← relabelRule_acceptedThrough A r s v π t] at hi exact (mapEquiv_finset_indep M (Fintype.equivFin E) _).1 hi theorem relabelRule_reward (A : OnlineRule (Fintype.card E) bits) (r : Seed bits) (s v : E → ℝ) (π : LabeledOrder E) : (∑ e ∈ labeledAcceptedThrough (relabelRule A) r s v π (Fintype.card E), v e) = reward A r (finWeights s) (finWeights v) (π.trans (Fintype.equivFin E)) := by classical rw [reward, accepted, ← relabelRule_acceptedThrough] simp [finWeights] /-- Any pointwise guarantee expressed in the actual `Fin n` model is unchanged by transporting both the selected reward and the offline benchmark. -/ theorem relabelRule_ratio_iff (M : Matroid E) (A : OnlineRule (Fintype.card E) bits) (c : ℝ) (r : Seed bits) (s v : E → ℝ) (π : LabeledOrder E) : (c * finiteOptimum M v ≤ ∑ e ∈ labeledAcceptedThrough (relabelRule A) r s v π (Fintype.card E), v e) ↔ c * MatroidProphet.optimum (finMatroid M) (finWeights v) ≤ reward A r (finWeights s) (finWeights v) (π.trans (Fintype.equivFin E)) := by rw [relabelRule_reward, optimum_finMatroid] end Online end MatroidProphet.Labeling end OAI