OAI/Probability/InvariantIsing/Arrays/TensorPerturbationObjective.lean
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.
- def
OAI.InvariantIsing.tensorPerturbationObjectiveline 15 - lemma
OAI.InvariantIsing.penalty_updateline 22Also declared: OAI/Probability/InvariantIsing/Fields/PriorMinimumCoordinates.lean:27 (same declaration text), OAI/Probability/InvariantIsing/Fields/SpinPriorMinimumCoordinates.lean:22 (same declaration text).
- lemma
OAI.InvariantIsing.update_mem_Iccline 36Also declared: OAI/Probability/InvariantIsing/Fields/PriorMinimumCoordinates.lean:41 (same declaration text), OAI/Probability/InvariantIsing/Fields/SpinPriorMinimumCoordinates.lean:36 (same declaration text).
- theorem
OAI.InvariantIsing.tensorPerturbation_minimum_coordinatesline 46Source 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