OAI/Algebra/DepthFive/PairingOccupationAverage.lean

GitHub source file

5 declarations, 0 contain sorry, 0 declared as axioms

Actual finite occupation averages feed the normalized pairing sum.

  1. def OAI.Problem335.MomentPairing.layerMeanV line 14
  2. def OAI.Problem335.MomentPairing.layerMeanU line 18
  3. def OAI.Problem335.MomentPairing.occupationPathMean line 22
  4. theorem OAI.Problem335.MomentPairing.occupationPathMean_le_geometric line 32

    Source documentation

    The true two-group uniform average is bounded by the geometric local table. Both variable groups are nonempty; no moment hypothesis is assumed.

    theorem occupationPathMean_le_geometric {γ : Type*} [Fintype γ] [DecidableEq γ]
        {L : ℕ} (side : Fin (L + 1) → Bool)
        [Nonempty {v : Fin (L + 1) × (γ × γ) // side v.1 = true}]
        [Nonempty {v : Fin (L + 1) × (γ × γ) // ¬ side v.1 = true}]
        (a b : ℕ) (endpoint : γ) (x : Fin L → Labels γ) :
        occupationPathMean side a b endpoint x ≤
          pathGeometricMoment side (layerMeanV γ side a) (layerMeanU γ side b)
            endpoint (classifyWord endpoint x) x := by
    …

    Mentions: OAI.Problem335.MomentPairing.occupationPathMean, OAI.Problem335.MomentPairing.pathGeometricMoment, OAI.Problem335.MomentPairing.layerMeanV, OAI.Problem335.MomentPairing.layerMeanU, OAI.Problem335.MomentPairing.classifyWord

  5. theorem OAI.Problem335.MomentPairing.sum_occupationPathMean_le line 48

    Source documentation

    Actual occupation averaging, normalizing, and relaxing the four-path classes combine without a residual analytic comparison hypothesis.

    theorem sum_occupationPathMean_le {γ : Type*} [Fintype γ] [DecidableEq γ]
        {L : ℕ} (side : Fin (L + 1) → Bool)
        [Nonempty {v : Fin (L + 1) × (γ × γ) // side v.1 = true}]
        [Nonempty {v : Fin (L + 1) × (γ × γ) // ¬ side v.1 = true}]
        (a b : ℕ) (ha : 0 < a) (endpoint : γ) :
        (∑ x : {x : Fin L → Labels γ // Compatible endpoint x},
          occupationPathMean side a b endpoint x.1) ≤
        pathMean side (layerMeanV γ side a) (layerMeanU γ side b) ^ 2 *
          ∑ τ : Fin (L + 1) → Kind, ∑ x : RelaxedPaths γ endpoint τ,
            pathWeight side
              (layerMeanV γ side a / (layerMeanV γ side a + 1))
              (layerMeanU γ side b / (layerMeanU γ side b + 1)) endpoint τ x.1 := by
    …

    Mentions: OAI.Problem335.MomentPairing.Compatible, OAI.Problem335.MomentPairing.occupationPathMean, OAI.Problem335.MomentPairing.pathMean, OAI.Problem335.MomentPairing.layerMeanV, OAI.Problem335.MomentPairing.layerMeanU, OAI.Problem335.MomentPairing.pathWeight