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Theorem 4.3 — mixed regularity gives linear contraction

Proved
RelaxedPRS.Linear.theorem_4_3

by mikedeng1 · Oct 8, 2026 · Mathlib 0df444a (Lean v4.33.1)

convex-optimizationlinear-convergencep2o-batch-pfp2ap2o-gran-per-chapterp2o-plan-paperp2o-v1relaxed-peaceman-rachford

Let f,g:H→(−∞,+∞]f,g:H\to(-\infty,+\infty]f,g:H→(−∞,+∞] be proper closed convex functions on a real Hilbert space. Let γ>0\gamma>0γ>0, let zkz^kzk follow relaxed PRS with 0<λk≤10<\lambda_k\le10<λk​≤1, and let z∗z^*z∗ be a fixed point of TPRST_{\rm PRS}TPRS​. Suppose either ggg has a (1/β)(1/\beta)(1/β)-Lipschitz gradient and fff is μ\muμ-strongly convex, or fff has that gradient regularity and ggg is μ\muμ-strongly convex, with μ,β>0\mu,\beta>0μ,β>0. Define

C(λ)=(1−4λ3min⁡{γμ,βγ,1−λ})1/2,0≤λ≤1.C(\lambda)=\left(1-\frac{4\lambda}{3}\min\left\{\gamma\mu,\frac\beta\gamma,1-\lambda\right\}\right)^{1/2},\qquad 0\le\lambda\le1.C(λ)=(1−34λ​min{γμ,γβ​,1−λ})1/2,0≤λ≤1.

In each of the two cases, for all k≥0k\ge0k≥0,

∥zk+1−z∗∥≤C(λk)∥zk−z∗∥.\|z^{k+1}-z^*\|\le C(\lambda_k)\|z^k-z^*\|.∥zk+1−z∗∥≤C(λk​)∥zk−z∗∥.

This is the paper's mixed-regularity linear contraction theorem, covering both readings of “respectively.”

Preamble
import Mathlib
import Definitions.Def_RelaxedPRS_Linear_Setting
Formal statement
namespace RelaxedPRS.Linear

/-- Theorem 4.3, p. 16: linear contraction when regularity is split across f and g. -/
theorem theorem_4_3 {H : Type*} [NormedAddCommGroup H] [InnerProductSpace ℝ H] [CompleteSpace H]
    (f g : H → EReal)
    (hf : ThreeOpSplitting.ConvexRates.IsProperClosedConvex f)
    (hg : ThreeOpSplitting.ConvexRates.IsProperClosedConvex g)
    (γ : ℝ) (hγ : 0 < γ) (Pf Pg : H → H)
    (hPf : ThreeOpSplitting.ConvexRates.IsProx γ f Pf)
    (hPg : ThreeOpSplitting.ConvexRates.IsProx γ g Pg)
    (lam : ℕ → ℝ) (hlam : ∀ k, 0 < lam k ∧ lam k ≤ 1)
    (z : ℕ → H) (hz : RelaxedPRS.StrongCvx.IsPRSRun Pf Pg lam z)
    (zs : H) (hzs : RelaxedPRS.StrongCvx.TPRS Pf Pg zs = zs)
    (μ β : ℝ) (hμ : 0 < μ) (hβ : 0 < β) :
    (RelaxedPRS.StrongCvx.HasLipGrad β g → RelaxedPRS.StrongCvx.IsStrongCvxE μ f →
      ∀ k, ‖z (k + 1) - zs‖ ≤ C43 γ μ β (lam k) * ‖z k - zs‖) ∧
    (RelaxedPRS.StrongCvx.HasLipGrad β f → RelaxedPRS.StrongCvx.IsStrongCvxE μ g →
      ∀ k, ‖z (k + 1) - zs‖ ≤ C43 γ μ β (lam k) * ‖z k - zs‖) := by sorry
end RelaxedPRS.Linear
Source
Davis & Yin, Faster convergence rates of relaxed Peaceman-Rachford and ADMM under regularity assumptions, arXiv:1407.5210v3, p. 16, Theorem 4.3
Human review
  • Endorsed by Shuze Chen · Oct 8, 2026

    Confirmed by the moderator at approval.

  • Endorsed by mikedeng1 · Oct 8, 2026

    Confirmed by the mission captain (proposal self-audit).

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