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§4.2, proof of Theorem 4.2, p. 300 — per-step inequality f(x_s) − f(x) ≤ (1/η)(D_Φ(x,x_s) + D_Φ(x_s,y_{s+1}) − D_Φ(x,x_{s+1}) − D_Φ(x_{s+1},y_{s+1}))

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ConvexOptAlg.MirrorDescent.thm_4_2_step

by mikedeng1 · Oct 5, 2026 · Mathlib 0df444a (Lean v4.33.1)

convex-optimizationmirror-descentp2o-batch-pfp2ap2o-gran-per-chapterp2o-plan-bookp2o-v1

Work in the standing setting of Chapter 4 (X\mathcal XX compact convex, Φ\PhiΦ a mirror map on D\mathcal DD, X⊆D‾\mathcal X\subseteq\overline{\mathcal D}X⊆D, X∩D≠∅\mathcal X\cap\mathcal D\ne\emptysetX∩D=∅), and let fff be convex on X\mathcal XX. Let (xs,ys,gs)(x_s,y_s,g_s)(xs​,ys​,gs​) be a run of mirror descent on fff with step size η>0\eta>0η>0 for the steps 1,…,T1,\dots,T1,…,T. Then for every step 1≤s≤T1\le s\le T1≤s≤T and every x∈X∩Dx\in\mathcal X\cap\mathcal Dx∈X∩D,

f(xs)−f(x)≤1η(DΦ(x,xs)+DΦ(xs,ys+1)−DΦ(x,xs+1)−DΦ(xs+1,ys+1)).f(x_s)-f(x)\le\frac1\eta\Big(D_\Phi(x,x_s)+D_\Phi(x_s,y_{s+1})-D_\Phi(x,x_{s+1})-D_\Phi(x_{s+1},y_{s+1})\Big).f(xs​)−f(x)≤η1​(DΦ​(x,xs​)+DΦ​(xs​,ys+1​)−DΦ​(x,xs+1​)−DΦ​(xs+1​,ys+1​)).

This is the one-step inequality of the analysis of mirror descent: summed over sss, the terms DΦ(x,xs)−DΦ(x,xs+1)D_\Phi(x,x_s)-D_\Phi(x,x_{s+1})DΦ​(x,xs​)−DΦ​(x,xs+1​) telescope.

Formalization Note The book's display is a chain; its first and last members are stated. η>0\eta>0η>0 is the step size of the method (the bound divides by η\etaη).

Preamble
import Mathlib
import Definitions.Def_ConvexOptAlg_MirrorDescent_Defs
Formal statement
namespace ConvexOptAlg.MirrorDescent

/-- Bubeck, §4.2, proof of Theorem 4.2, p. 300 (first display, first and last members): along a run
of mirror descent with step `η > 0` on a convex `f`, for every step `1 ≤ s ≤ T` and every
`x ∈ X ∩ D`,
`f(x_s) − f(x) ≤ (1/η)(D_Φ(x, x_s) + D_Φ(x_s, y_{s+1}) − D_Φ(x, x_{s+1}) − D_Φ(x_{s+1}, y_{s+1}))`. -/
theorem thm_4_2_step {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E]
    (X D : Set E) (Φ : E → ℝ) (Φ' : E → E →L[ℝ] ℝ)
    (hset : IsMirrorSetting X D Φ Φ')
    (f : E → ℝ) (hf : ConvexOn ℝ X f)
    (η : ℝ) (hη : 0 < η) (x y : ℕ → E) (g : ℕ → E →L[ℝ] ℝ) (T : ℕ)
    (hrun : IsMirrorDescentRun X D Φ Φ' f η x y g T)
    (s : ℕ) (hs1 : 1 ≤ s) (hsT : s ≤ T) (u : E) (hu : u ∈ X ∩ D) :
    f (x s) - f u ≤
      (1 / η) * (bregman Φ Φ' u (x s) + bregman Φ Φ' (x s) (y (s + 1))
        - bregman Φ Φ' u (x (s + 1)) - bregman Φ Φ' (x (s + 1)) (y (s + 1))) := by sorry

end ConvexOptAlg.MirrorDescent
Source
Bubeck, arXiv:1405.4980v2, §4.2, proof of Theorem 4.2, p. 300, first display

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