Eq. (3): robustness of the limiting subdifferential
ProvedNonconvexSplitting.ProxGrad.limitingSubdiff_robustp2o-batch-p200bp2o-gran-per-chapterp2o-plan-paperp2o-v1variational-analysis
Let be proper and let . Suppose with , , and for each , where is the limiting subdifferential. Then :
This closedness property is what allows stationarity to pass to the limit along a convergent subsequence of iterates.
Formalization Note The hypothesis records that the paper defines only at points of ; is convergence in EReal.
Preamble
import Mathlib import Definitions.Def_NonconvexSplitting_Shared_LimitingSubdiff open NonconvexSplitting.Shared open Filter Topology
Formal statement
namespace NonconvexSplitting.ProxGrad
/-- Eq. (3) of Li–Pong (p. 3): robustness of the limiting subdifferential. -/
theorem limitingSubdiff_robust {n : ℕ} (f : EuclideanSpace ℝ (Fin n) → EReal)
(hf : ∀ y, f y ≠ ⊥) (x v : EuclideanSpace ℝ (Fin n)) (hx : f x ≠ ⊤)
(xs vs : ℕ → EuclideanSpace ℝ (Fin n))
(hxs : Tendsto xs atTop (𝓝 x)) (hfxs : Tendsto (fun t => f (xs t)) atTop (𝓝 (f x)))
(hvs : Tendsto vs atTop (𝓝 v)) (hmem : ∀ t, vs t ∈ LimitingSubdiff f (xs t)) :
v ∈ LimitingSubdiff f x := by sorry
end NonconvexSplitting.ProxGrad
Source
Li & Pong, Global Convergence of Splitting Methods for Nonconvex Composite Optimization, arXiv:1407.0753v6, p. 3, Eq. (3)
Human review
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.