OAI/NumberTheory/DukePrimeDegree/Dynamics/MeasureStabilizerCovariance.lean

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4 declarations, 0 contain sorry, 0 declared as axioms

Actual stabilizers of transported component measures

Right translation conjugates the measure stabilizer in the opposite direction. Combining this identity with component-kernel covariance gives the exact covariance of their spaces of matrix velocities.

  1. lemma OAI.DukePrimeDegree.matrixVelocitySpace_map_rightAction line 20
  2. lemma OAI.DukePrimeDegree.matrixVelocitySpace_map_rightAction_iff line 38

    Source documentation

    The tangent transport is an equivalence, not just an inclusion. This is the exact relation needed for a change of frame.

    lemma matrixVelocitySpace_map_rightAction_iff {n : ℕ}
        (μ : Measure (X n)) (a : G n)
        (V : Matrix (Fin n) (Fin n) ℝ) :
        a⁻¹.val * V * a.val ∈
            matrixVelocitySpace (invariantRightSubgroup
              (μ.map (fun x => rightAction x a))) ↔
          V ∈ matrixVelocitySpace (invariantRightSubgroup μ) := by
    …

    Mentions: OAI.DukePrimeDegree.matrixVelocitySpace

  3. theorem OAI.DukePrimeDegree.ae_component_velocity_covariance line 64

    Source documentation

    Normalizer covariance of the genuine conditional measures gives covariance of their genuine curve-velocity subspaces.

    theorem ae_component_velocity_covariance {n : ℕ}
        (H : Subgroup (G n)) (a : G n)
        (ha : a ∈ Subgroup.normalizer (H : Set (G n)))
        (μ : Measure (X n)) [IsProbabilityMeasure μ]
        (hμ : μ.map (fun x => rightAction x a) = μ) :
        ∀ᵐ z ∂μ.trim (actionInvariantSigma_le H (X n)),
          ∀ V ∈ matrixVelocitySpace
            (invariantRightSubgroup (condExpKernel μ (actionInvariantSigma H (X n)) z)),
          a⁻¹.val * V * a.val ∈ matrixVelocitySpace
            (invariantRightSubgroup (condExpKernel μ (actionInvariantSigma H (X n))
              (rightAction z a))) := by
    …

    Mentions: OAI.DukePrimeDegree.matrixVelocitySpace

  4. theorem OAI.DukePrimeDegree.ae_component_velocity_covariance_iff line 80