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Proof of Theorem 3.19, p. 295 — summing from s = 1 to t − 1, δ_t ≤ (β/(2λ²_{t−1}))‖u₁‖²

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ConvexOptAlg.NesterovSmooth.thm_3_19_telescoped

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

accelerated-gradientconvex-optimizationnesterovp2o-batch-pfp2ap2o-gran-per-chapterp2o-plan-bookp2o-v1

Let f:Rn→Rf:\mathbb R^n\to\mathbb Rf:Rn→R be convex and β\betaβ-smooth with β>0\beta>0β>0, let x∗x^*x∗ be a minimizer of fff, and let (xt),(yt)(x_t),(y_t)(xt​),(yt​) be a run of Nesterov's accelerated gradient descent for the smooth case, with step sequence (λt)(\lambda_t)(λt​). Put δt=f(yt)−f(x∗)\delta_t=f(y_t)-f(x^*)δt​=f(yt​)−f(x∗) and u1=λ1x1−(λ1−1)y1−x∗u_1=\lambda_1x_1-(\lambda_1-1)y_1-x^*u1​=λ1​x1​−(λ1​−1)y1​−x∗. Then for every t≥2t\ge2t≥2,

δt≤β2λt−12 ∥u1∥2.\delta_t\le\frac{\beta}{2\lambda_{t-1}^2}\,\|u_1\|^2.δt​≤2λt−12​β​∥u1​∥2.

This is the bound obtained by summing the one-step inequalities for s=1,…,t−1s=1,\dots,t-1s=1,…,t−1; together with the growth λt−1≥t/2\lambda_{t-1}\ge t/2λt−1​≥t/2 it gives Theorem 3.19.

Formalization Note u1u_1u1​ is written out in terms of λ1\lambda_1λ1​, x1x_1x1​, y1y_1y1​ and x∗x^*x∗, as on the page (numerically λ1=1\lambda_1=1λ1​=1, so u1=x1−x∗u_1=x_1-x^*u1​=x1​−x∗). The range t≥2t\ge2t≥2 is that of the page's summation; there λt−1≥1>0\lambda_{t-1}\ge1>0λt−1​≥1>0. x∗x^*x∗ a minimizer is the standing assumption; β>0\beta>0β>0 is stated.

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

/-- The telescoped bound in the proof of Theorem 3.19 (Bubeck, arXiv:1405.4980v2, p. 295,
"Summing these inequalities from s = 1 to s = t − 1"): along a run of Nesterov's accelerated
gradient descent on a convex β-smooth `f` with minimizer `x*`, with
`u₁ = λ₁x₁ − (λ₁ − 1)y₁ − x*`, for every `t ≥ 2`,
`f(y_t) − f(x*) ≤ (β/(2λ_{t−1}²))‖u₁‖²`. -/
theorem thm_3_19_telescoped {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)
    (xstar : EuclideanSpace ℝ (Fin n)) (hmin : ∀ z, f xstar ≤ f z)
    (x y : ℕ → EuclideanSpace ℝ (Fin n)) (hrun : IsNesterovRun g β x y) (t : ℕ) (ht : 2 ≤ t) :
    f (y t) - f xstar ≤
      β / (2 * lam (t - 1) ^ 2) * ‖lam 1 • x 1 - (lam 1 - 1) • y 1 - xstar‖ ^ 2 := by sorry

end ConvexOptAlg.NesterovSmooth
Source
Bubeck, arXiv:1405.4980v2, proof of Theorem 3.19, p. 295 (display after "Summing these inequalities from s = 1 to s = t − 1")

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