Eq. (2.5): for
ProvedSolodovSvaiterVI.Alg21.eq2_5_inner_residual_gep2o-batch-p200bp2o-gran-per-chapterp2o-plan-paperp2o-v1projection-methodsvariational-inequalities
Let be a closed convex subset of , , and the projected residual. For every ,
Inequality (2.5) says that is a direction along which has a definite component; it is what makes the linesearch of Algorithm 2.1 terminate and what identifies limit points as solutions.
Formalization Note is nonempty because . is projOnto C.
Preamble
import Mathlib import Definitions.Def_SolodovSvaiterVI_Alg21_residual open scoped InnerProductSpace
Formal statement
namespace SolodovSvaiterVI.Alg21
/-- Solodov–Svaiter, proof of Theorem 2.1, (2.5) (p. 769): for `x ∈ C` with `C` closed and
convex, `⟨F(x), r(x)⟩ ≥ ‖r(x)‖²`. -/
theorem eq2_5_inner_residual_ge {n : ℕ}
(F : EuclideanSpace ℝ (Fin n) → EuclideanSpace ℝ (Fin n))
(C : Set (EuclideanSpace ℝ (Fin n))) (hCc : IsClosed C) (hCcv : Convex ℝ C)
(x : EuclideanSpace ℝ (Fin n)) (hx : x ∈ C) :
‖residual F C x‖ ^ 2 ≤ ⟪F x, residual F C x⟫_ℝ := by sorry
end SolodovSvaiterVI.Alg21
Source
Solodov & Svaiter, A New Projection Method for Variational Inequality Problems, SIAM J. Control Optim. 37 (1999), p. 769, proof of Theorem 2.1, Eq. (2.5)
Human review
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.