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Complexitylib.BooleanAnalysis.Sensitivity.Internal.LabelingEvents

Sensitivity separation: labeling events #

Adapted from OpenAI's formalization at revision adc7f1241b42e322a6451854ab7e4b4c146bf78a. Source: https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/lean/OAI/Combinatorics/Sensitivity/LabelingEvents.lean

Imports, namespaces, module visibility, documentation, and formatting are adapted for complexitylib. The source theorem statements and mathematical proofs are retained.

noncomputable def Complexity.BooleanAnalysis.Sensitivity.Internal.Tournament.labelingEvent {k r n : ℕ} (T : Tournament k) (v : Fin n → Fin k) (m : Fin n → Fin r) :
Finset (Fin k × Fin k → Fin r)

Labelings whose edges between injected vertices have the prescribed target labels.

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    theorem Complexity.BooleanAnalysis.Sensitivity.Internal.Tournament.mem_labelingEvent_iff {k r n : ℕ} (T : Tournament k) {v : Fin n → Fin k} {m : Fin n → Fin r} {A : Fin k × Fin k → Fin r} (hv : Function.Injective v) :
    A ∈ T.labelingEvent v m ↔ ∀ (i j : Fin n), T.Adj (v i) (v j) → A (v i, v j) = m j
    theorem Complexity.BooleanAnalysis.Sensitivity.Internal.Tournament.labelingEvent_eq {k r n : ℕ} (T : Tournament k) [NeZero n] (v : Fin n → Fin k) (m : Fin n → Fin r) (hv : Function.Injective v) :
    T.labelingEvent v m = {A : Fin k × Fin k → Fin r | ∀ p ∈ T.internalEdges (Finset.image v Finset.univ), A p = m (Function.invFun v p.2)}

    Union of labeling events over all vertex maps and target-label assignments.

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