openAI-math-dataset / lean /OAI /Probability /SKGap /Stability /RootFieldTransfer.lean
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import Mathlib
import OAI.Probability.SKGap.Stability.RootDiagonalTransfer
namespace OAI
section
noncomputable section
namespace SKGap.ObservationBridge
open MeasureTheory ProbabilityTheory Matrix Real Set
open scoped BigOperators
variable {n : ℕ}
lemma tapField_field_difference (j : ℝ) (J : Matrix (Fin n) (Fin n) ℝ)
(h h' y : Field n) : tapField j J h' y=tapField j J h y+(h-h') := by
ext i
simp only [tapField,Pi.add_apply,Pi.sub_apply]
ring
lemma rootBad_field_transfer {j A ε c ρ κ : ℝ}
(J : Matrix (Fin n) (Fin n) ℝ) (h h' : Field n)
(hd : vectorNorm (h-h') ≤ κ*sqrt (n:ℝ)) :
rootBad j A ε c ρ J h → rootBad j A ε c (ρ+κ) J h' := by
rintro ⟨y,hy,a,ha,hdist,x,hx,hq⟩
refine ⟨y,?_,a,ha,hdist,x,hx,hq⟩
rw [tapField_field_difference]
exact (vectorNorm_add_le _ _).trans ((add_le_add hy hd).trans_eq (by ring))
theorem rootBad_mesh_transfer {ι τ : Type*} (mesh : ι→τ) (h : τ→Field n)
(j A ε c ρ κ : ℝ) (J : Matrix (Fin n) (Fin n) ℝ)
(hcover : ∀ t : τ, ∃ k : ι,vectorNorm (h t-h (mesh k)) ≤ κ*sqrt (n:ℝ)) :
(∃ t,rootBad j A ε c ρ J (h t)) → ∃ k,rootBad j A ε c (ρ+κ) J (h (mesh k)) := by
rintro ⟨t,ht⟩
obtain ⟨k,hk⟩ := hcover t
exact ⟨k,rootBad_field_transfer J (h t) (h (mesh k)) hk ht⟩
end SKGap.ObservationBridge
end
end
end OAI