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Lemma 3.6, p. 270, unconstrained (X = ℝⁿ) — f(x − ∇f(x)/β) − f(y) ≤ ∇f(x)⊤(x − y) − ‖∇f(x)‖²/(2β)

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ConvexOptAlg.NesterovSmooth.lemma_3_6_unconstrained

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

convex-optimizationgradient-stepp2o-batch-pfp2ap2o-gran-per-chapterp2o-plan-bookp2o-v1smoothness

Let f:Rn→Rf:\mathbb R^n\to\mathbb Rf:Rn→R be convex and β\betaβ-smooth with β>0\beta>0β>0. Then for all x,y∈Rnx,y\in\mathbb R^nx,y∈Rn,

f(x−1β∇f(x))−f(y)≤∇f(x)⊤(x−y)−12β∥∇f(x)∥2.f\Bigl(x-\frac1\beta\nabla f(x)\Bigr)-f(y)\le\nabla f(x)^\top(x-y)-\frac1{2\beta}\|\nabla f(x)\|^2.f(x−β1​∇f(x))−f(y)≤∇f(x)⊤(x−y)−2β1​∥∇f(x)∥2.

This is Lemma 3.6 of the book in the case X=Rn\mathcal X=\mathbb R^nX=Rn: the projection ΠX\Pi_{\mathcal X}ΠX​ is the identity, so x+=x−1β∇f(x)x^+=x-\frac1\beta\nabla f(x)x+=x−β1​∇f(x) and the gradient mapping gX(x)=β(x−x+)g_{\mathcal X}(x)=\beta(x-x^+)gX​(x)=β(x−x+) equals ∇f(x)\nabla f(x)∇f(x). The proof of Theorem 3.19 applies it twice per iteration, once with y=ysy=y_sy=ys​ and once with y=x∗y=x^*y=x∗.

Formalization Note The gradient is an explicit map ggg with g(x)=∇f(x)g(x)=\nabla f(x)g(x)=∇f(x); convexity is Mathlib's ConvexOn ℝ Set.univ f. The hypothesis β>0\beta>0β>0 is implicit in the book (the step 1/β1/\beta1/β) and is stated.

Preamble
import Mathlib
import Definitions.Def_ConvexOptAlg_NesterovSmooth_Defs
open scoped InnerProductSpace
Formal statement
namespace ConvexOptAlg.NesterovSmooth

/-- Lemma 3.6 (Bubeck, arXiv:1405.4980v2, p. 270) in its unconstrained version (X = ℝⁿ), as used in
the proof of Theorem 3.19 (p. 294): for a convex β-smooth `f` on `ℝⁿ` with gradient map `g`,
`x⁺ = x − (1/β)∇f(x)` and `g_X(x) = β(x − x⁺) = ∇f(x)`, for all `x, y`,
`f(x⁺) − f(y) ≤ ∇f(x)⊤(x − y) − (1/(2β))‖∇f(x)‖²`. -/
theorem lemma_3_6_unconstrained {n : ℕ} (f : EuclideanSpace ℝ (Fin n) → ℝ)
    (g : EuclideanSpace ℝ (Fin n) → EuclideanSpace ℝ (Fin n)) (β : ℝ) (hβ : 0 < β)
    (hconv : ConvexOn ℝ Set.univ f) (hf : IsBetaSmooth f g β) (x y : EuclideanSpace ℝ (Fin n)) :
    f (x - (1 / β) • g x) - f y ≤ ⟪g x, x - y⟫_ℝ - 1 / (2 * β) * ‖g x‖ ^ 2 := by sorry

end ConvexOptAlg.NesterovSmooth
Source
Bubeck, arXiv:1405.4980v2, Lemma 3.6, p. 270, in the unconstrained form used in the proof of Theorem 3.19, p. 294

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