OAI/Probability/InvariantIsing/Arrays/TensorPerturbationObjective.lean

GitHub source file

4 declarations, 0 contain sorry, 0 declared as axioms

Global minima of the actual finite perturbation objective imply both coordinate minimum conditions used by the GG estimates.

  1. def OAI.InvariantIsing.tensorPerturbationObjective line 15
  2. lemma OAI.InvariantIsing.penalty_update line 22

    Also declared: OAI/Probability/InvariantIsing/Fields/PriorMinimumCoordinates.lean:27 (same declaration text), OAI/Probability/InvariantIsing/Fields/SpinPriorMinimumCoordinates.lean:22 (same declaration text).

  3. lemma OAI.InvariantIsing.update_mem_Icc line 36

    Also declared: OAI/Probability/InvariantIsing/Fields/PriorMinimumCoordinates.lean:41 (same declaration text), OAI/Probability/InvariantIsing/Fields/SpinPriorMinimumCoordinates.lean:36 (same declaration text).

  4. theorem OAI.InvariantIsing.tensorPerturbation_minimum_coordinates line 46

    Source documentation

    This is a direct restriction of the genuine joint finite-model minimum.

    theorem tensorPerturbation_minimum_coordinates {N m : ℕ}
        (μ : Measure (SpecialOrthogonal N)) (eig c : Fin N → ℝ)
        (I : Fin m → Finset (Fin N)) (t : ℝ) (n : ℕ) (b h : ℕ → ℝ)
        (u : Fin N → ℝ) (v : Fin m → ℝ)
        (hu : ∀ j, u j ∈ Set.Icc (1 : ℝ) 2) (hv : ∀ a, v a ∈ Set.Icc (1 : ℝ) 2)
        (hmin : ∀ u' v', (∀ j, u' j ∈ Set.Icc (1 : ℝ) 2) → (∀ a, v' a ∈ Set.Icc (1 : ℝ) 2) →
          tensorPerturbationObjective μ eig c I t n b h u v ≤ tensorPerturbationObjective μ eig c I t n b h u' v') :
        let M := tensorPerturbationPressureMean μ eig c I (n := n) (b := b) (h := h)
    …

    Mentions: OAI.InvariantIsing.SpecialOrthogonal, OAI.InvariantIsing.tensorPerturbationObjective, OAI.InvariantIsing.tensorPerturbationPressureMean