(4.9), proof of Theorem 4.4, p. 307 — second term: η∇f(x_t)⊤(y_{t+1} − x_{t+1}) ≤ D_Φ(x_{t+1}, x_t) − (ρ/2)‖x_{t+1} − y_{t+1}‖² − (ρ/2)‖y_{t+1} − x_t‖²
OpenConvexOptAlg.MirrorProx.eq_4_9bregman-divergenceconvex-optimizationmirror-proxp2o-batch-pfp2ap2o-gran-per-chapterp2o-plan-bookp2o-v1strong-convexity
In the setting of Chapter 4, let be a mirror map on that is -strongly convex on with respect to , and let be a run of mirror prox with step size . Then for every :
- the bound through (4.9):
- the final bound:
This bounds the second of the three terms in the proof of Theorem 4.4; the negative quadratic terms are what absorbs the third term.
Formalization Note No sign condition on or is needed for this display. The dual vector is the value of the gradient map at .
Preamble
import Mathlib import Definitions.Def_ConvexOptAlg_MirrorProx_Defs
Formal statement
namespace ConvexOptAlg.MirrorProx
/-- The second term in the proof of Theorem 4.4 (Bubeck, arXiv:1405.4980v2, §4.5, p. 307, first
display, through (4.9)): for a run of mirror prox with step size `η`, a mirror map `Φ` that is
`ρ`-strongly convex on `X ∩ D`, and every `t ≥ 1`,
1. `η∇f(x_t)⊤(y_{t+1} − x_{t+1}) ≤ D_Φ(x_{t+1}, x_t) − D_Φ(x_{t+1}, y_{t+1}) − D_Φ(y_{t+1}, x_t)`
(4.9);
2. `η∇f(x_t)⊤(y_{t+1} − x_{t+1})
≤ D_Φ(x_{t+1}, x_t) − (ρ/2)‖x_{t+1} − y_{t+1}‖² − (ρ/2)‖y_{t+1} − x_t‖²`. -/
theorem eq_4_9 {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E]
(X D : Set E) (hXc : IsCompact X) (hXconv : Convex ℝ X) (hXD : X ⊆ closure D)
(hXDne : (X ∩ D).Nonempty)
(Φ : E → ℝ) (Φ' : E → E →L[ℝ] ℝ) (hΦ : IsMirrorMap D Φ Φ')
(ρ : ℝ) (hsc : IsStronglyConvexWRT (X ∩ D) Φ Φ' ρ)
(f' : E → E →L[ℝ] ℝ) (η : ℝ) (x y y' x' : ℕ → E)
(hrun : IsMirrorProxRun X D Φ Φ' f' η x y y' x')
(t : ℕ) (ht : 1 ≤ t) :
η * f' (x t) (y (t + 1) - x (t + 1))
≤ bregman Φ Φ' (x (t + 1)) (x t) - bregman Φ Φ' (x (t + 1)) (y (t + 1))
- bregman Φ Φ' (y (t + 1)) (x t) ∧
η * f' (x t) (y (t + 1) - x (t + 1))
≤ bregman Φ Φ' (x (t + 1)) (x t) - ρ / 2 * ‖x (t + 1) - y (t + 1)‖ ^ 2
- ρ / 2 * ‖y (t + 1) - x t‖ ^ 2 := by sorry
end ConvexOptAlg.MirrorProx
Source
Bubeck, arXiv:1405.4980v2, §4.5, proof of Theorem 4.4, p. 307, first display, Eq. (4.9)