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Proof of Theorem 3.18, p. 292 — Φ_s(x) = Φ*_s + (α/2)‖x − v_s‖² with v_s given by (3.21)

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ConvexOptAlg.NesterovStrong.eq_3_21_form

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

accelerated-gradientconvex-optimizationestimate-sequencep2o-batch-pfp2ap2o-gran-per-chapterp2o-plan-bookp2o-v1

Let α>0\alpha>0α>0, β∈R\beta\in\mathbb Rβ∈R, κ=β/α\kappa=\beta/\alphaκ=β/α, let f:Rn→Rf:\mathbb R^n\to\mathbb Rf:Rn→R and g:Rn→Rng:\mathbb R^n\to\mathbb R^ng:Rn→Rn be arbitrary (with ggg in the role of ∇f\nabla f∇f), and let (xs)s≥1(x_s)_{s\ge1}(xs​)s≥1​ be any sequence of points. Let Φs\Phi_sΦs​ be defined by (3.17), let v1=x1v_1=x_1v1​=x1​ and

vs+1=(1−1κ)vs+1κxs−1ακ∇f(xs),(3.21)v_{s+1}=\Big(1-\frac1{\sqrt\kappa}\Big)v_s+\frac1{\sqrt\kappa}x_s-\frac1{\alpha\sqrt\kappa}\nabla f(x_s),\tag{3.21}vs+1​=(1−κ​1​)vs​+κ​1​xs​−ακ​1​∇f(xs​),(3.21)

and let Φs∗=Φs(vs)\Phi^*_s=\Phi_s(v_s)Φs∗​=Φs​(vs​). Then for every s≥1s\ge1s≥1 and every x∈Rnx\in\mathbb R^nx∈Rn,

Φs(x)=Φs∗+α2∥x−vs∥2.\Phi_s(x)=\Phi^*_s+\frac\alpha2\|x-v_s\|^2 .Φs​(x)=Φs∗​+2α​∥x−vs​∥2.

In particular Φs\Phi_sΦs​ is minimized at vsv_svs​ and Φs∗=min⁡x∈RnΦs(x)\Phi^*_s=\min_{x\in\mathbb R^n}\Phi_s(x)Φs∗​=minx∈Rn​Φs​(x), which is the book's definition of Φs∗\Phi^*_sΦs∗​. This is the description of Φs\Phi_sΦs​ through its centre on which the proof of (3.20) rests.

Formalization Note The identity is purely algebraic: it is stated for any sequence of points and any map ggg, without convexity or smoothness, which contains the case of a run. The book derives it from ∇2Φs=αIn\nabla^2\Phi_s=\alpha I_n∇2Φs​=αIn​; no Hessian is stated here.

Preamble
import Mathlib
import Definitions.Def_OnlineConvexOpt_ConvexBasics_StronglyConvexOn
import Definitions.Def_ConvexOptAlg_NesterovStrong_Defs

open scoped InnerProductSpace
Formal statement
namespace ConvexOptAlg.NesterovStrong

/-- Bubeck, proof of Theorem 3.18, p. 292 (the form of `Φ_s`, with `v_s` defined by (3.21)):
for any `α > 0`, any `f`, gradient map `g`, `β`, and any sequence of points `x_s`, the functions
`Φ_s` of (3.17) satisfy `Φ_s(z) = Φ∗_s + (α/2)‖z − v_s‖²` for every `s ≥ 1` and every `z`,
where `v₁ = x₁`, `v_{s+1} = (1 − 1/√κ) v_s + (1/√κ) x_s − (1/(α√κ)) ∇f(x_s)` and
`Φ∗_s = Φ_s(v_s)`. In particular `v_s` minimizes `Φ_s` and `Φ∗_s = min Φ_s`. -/
theorem eq_3_21_form {n : ℕ} (f : EuclideanSpace ℝ (Fin n) → ℝ)
    (g : EuclideanSpace ℝ (Fin n) → EuclideanSpace ℝ (Fin n)) (α β : ℝ)
    (hα : 0 < α) (x : ℕ → EuclideanSpace ℝ (Fin n))
    (s : ℕ) (hs : 1 ≤ s) (z : EuclideanSpace ℝ (Fin n)) :
    Phi f g α β x s z = PhiStar f g α β x s + α / 2 * ‖z - v g α β x s‖ ^ 2 := by sorry

end ConvexOptAlg.NesterovStrong
Source
Bubeck, arXiv:1405.4980v2, proof of Theorem 3.18, p. 292 (form of Φ_s and Eq. (3.21))

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