OAI/Geometry/EinsteinFour/WeightedCost.lean

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The actual real-vector cost in the local weighted Hessian square.

  1. theorem OAI.PositiveEinsteinFour.HighestHessian.weighted_hessian_cost line 17

    Source documentation

    The explicit real-vector cost replaces the norm of the constructed highest projection in the weighted square.

    theorem weighted_hessian_cost (Y : Hessian) (hY : condition Y)
        (t u : Fin 3 → ℝ) (ht : ∑ s, t s = 0) (hu : ∑ s, u s = 0)
        (a : Vec) (Z : Tensor) (hz : Z.traceFree) (hb : Z.bianchi)
        (x y m : ℝ) (hm : 0 < m) (hy : 0 ≤ y)
        (htx : ∀ s, -x ≤ t s) (huy : ∀ s, -y ≤ u s) (hxy : x + y ≤ 2) :
        0 ≤ (m / 6) * curvaturePairing t u Y Y +
          curvaturePairing t u Y (weightTensor a Z) / 6 +
          (‖a‖ ^ 2 * ((7 / 12) * (4 + y) * Z.squaredNorm -
            (5 / 4) * ∑ s, t s * (∑ b, ‖Z.matrix s b‖ ^ 2))) / (24 * m) := by
    …

    Mentions: OAI.PositiveEinsteinFour.HighestHessian.condition, OAI.PositiveEinsteinFour.HighestHessian.curvaturePairing, OAI.PositiveEinsteinFour.HighestHessian.weightTensor

  2. theorem OAI.PositiveEinsteinFour.HighestHessian.local_weighted_hessian_cost line 34

    Source documentation

    The cost estimate for a genuine Hessian derives its trace from Bianchi and the Ricci commutator; no representation-theoretic projection is an input.

    theorem local_weighted_hessian_cost (X : Hessian) (t u : Fin 3 → ℝ)
        (ht : ∑ s, t s = 0) (hu : ∑ s, u s = 0)
        (hmatrix : ∀ i j, symmetric (X i j) ∧ traceFree (X i j))
        (hbianchi : ∀ i r, divergence X i r = 0)
        (hcomm : ∀ i j b c, X i j b c - X j i b c =
          (1 / 2) * ∑ s, (1 + t s) * quaternionMatrix s i j *
            matrixAction s (Matrix.diagonal t) b c)
        (a : Vec) (Z : Tensor) (hz : Z.traceFree) (hb : Z.bianchi)
        (x y m : ℝ) (hm : 0 < m) (hy : 0 ≤ y)
        (htx : ∀ s, -x ≤ t s) (huy : ∀ s, -y ≤ u s) (hxy : x + y ≤ 2) :
        0 ≤ (m / 6) * curvaturePairing t u (hessianRemainder X t) (hessianRemainder X t) +
          curvaturePairing t u (hessianRemainder X t) (weightTensor a Z) / 6 +
    …

    Mentions: OAI.PositiveEinsteinFour.HighestHessian.divergence, OAI.PositiveEinsteinFour.HighestHessian.curvaturePairing, OAI.PositiveEinsteinFour.HighestHessian.hessianRemainder, OAI.PositiveEinsteinFour.HighestHessian.weightTensor