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Eq. (3.25), pp. 294–295 — λ²_sδ_{s+1} − λ²_{s−1}δ_s ≤ (β/2)(‖λ_sx_s − (λ_s − 1)y_s − x*‖² − ‖λ_sy_{s+1} − (λ_s − 1)y_s − x*‖²)

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ConvexOptAlg.NesterovSmooth.eq_3_25

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​). Write δs=f(ys)−f(x∗)\delta_s=f(y_s)-f(x^*)δs​=f(ys​)−f(x∗). Then for every s≥1s\ge1s≥1,

λs2δs+1−λs−12δs≤β2(∥λsxs−(λs−1)ys−x∗∥2−∥λsys+1−(λs−1)ys−x∗∥2).\lambda_s^2\delta_{s+1}-\lambda_{s-1}^2\delta_s\le\frac\beta2\Bigl(\|\lambda_sx_s-(\lambda_s-1)y_s-x^*\|^2-\|\lambda_sy_{s+1}-(\lambda_s-1)y_s-x^*\|^2\Bigr).λs2​δs+1​−λs−12​δs​≤2β​(∥λs​xs​−(λs​−1)ys​−x∗∥2−∥λs​ys+1​−(λs​−1)ys​−x∗∥2).

This is the one-step inequality of the proof: the weighted optimality gap decreases by at most a difference of two squared distances.

Formalization Note The first member and the last member of the book's chain (3.25) are stated; the intermediate expression is omitted. x∗x^*x∗ a minimizer is the book's 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

/-- Eq. (3.25) (Bubeck, arXiv:1405.4980v2, proof of Theorem 3.19, pp. 294–295): along a run of
Nesterov's accelerated gradient descent on a convex β-smooth `f` with minimizer `x*`, writing
`δ_s = f(y_s) − f(x*)`, for every `s ≥ 1`,
`λ_s²δ_{s+1} − λ_{s−1}²δ_s ≤ (β/2)(‖λ_s x_s − (λ_s − 1)y_s − x*‖² − ‖λ_s y_{s+1} − (λ_s − 1)y_s − x*‖²)`. -/
theorem eq_3_25 {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) (s : ℕ) (hs : 1 ≤ s) :
    lam s ^ 2 * (f (y (s + 1)) - f xstar) - lam (s - 1) ^ 2 * (f (y s) - f xstar) ≤
      β / 2 * (‖lam s • x s - (lam s - 1) • y s - xstar‖ ^ 2 -
        ‖lam s • y (s + 1) - (lam s - 1) • y s - xstar‖ ^ 2) := by sorry

end ConvexOptAlg.NesterovSmooth
Source
Bubeck, arXiv:1405.4980v2, proof of Theorem 3.19, Eq. (3.25), pp. 294–295

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