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First- and second-order optimality conditions of the objective (Chen–Li Lemma 4.3; GLM Prop. 5.1)

Proved
MatrixCompletion.NoSpuriousMin.optimality_conditions

by Shuze Chen · Aug 4, 2026 · Mathlib 0df444a (Lean v4.33.1)

matrix-completionmc-no-spuriousnonconvex-optimization

Let f(X)=12∥PΩ(ZZ⊤−XX⊤)∥F2+λR(X)f(X)=\tfrac12\|P_\Omega(ZZ^\top-XX^\top)\|_F^2+\lambda R(X)f(X)=21​∥PΩ​(ZZ⊤−XX⊤)∥F2​+λR(X) with λ≥0\lambda\ge0λ≥0, threshold α>0\alpha>0α>0, and a symmetric observation set Ω\OmegaΩ (as in Chen–Li's off-diagonal symmetric sampling model, where symmetry is ambient). If XXX is a local minimum of fff, then XXX satisfies the explicit first-order condition

2 PΩ(ZZ⊤)X=2 PΩ(XX⊤)X+λ∇R(X)2\,P_\Omega(ZZ^\top)X=2\,P_\Omega(XX^\top)X+\lambda\nabla R(X)2PΩ​(ZZ⊤)X=2PΩ​(XX⊤)X+λ∇R(X)

and, for every direction V∈Rd×rV\in\mathbb{R}^{d\times r}V∈Rd×r, the second-order condition

∥PΩ(VX⊤+XV⊤)∥F2+λ ⟨V,∇2R(X)[V]⟩ ≥ 2 ⟨PΩ(ZZ⊤−XX⊤), VV⊤⟩.\|P_\Omega(VX^\top+XV^\top)\|_F^2+\lambda\,\langle V,\nabla^2R(X)[V]\rangle\ \ge\ 2\,\langle P_\Omega(ZZ^\top-XX^\top),\,VV^\top\rangle.∥PΩ​(VX⊤+XV⊤)∥F2​+λ⟨V,∇2R(X)[V]⟩ ≥ 2⟨PΩ​(ZZ⊤−XX⊤),VV⊤⟩.

Together these give K(X^)≥0K(\hat X)\ge0K(X^)≥0 at every local minimum — the entry point of the Chen–Li superlevel-set argument.

Formalization Note The symmetry of Ω\OmegaΩ is a genuine hypothesis of the first-order clause, not a convenience: the gradient of the sampled term is (PΩ(S′)+PΩ(S′)⊤)X(P_\Omega(S')+P_\Omega(S')^\top)X(PΩ​(S′)+PΩ​(S′)⊤)X for S′=XX⊤−ZZ⊤S'=XX^\top-ZZ^\topS′=XX⊤−ZZ⊤, which equals 2PΩ(S′)X2P_\Omega(S')X2PΩ​(S′)X exactly when PΩ(S′)P_\Omega(S')PΩ​(S′) is symmetric. For non-symmetric Ω\OmegaΩ there are strict local minima at which 2PΩ(S′)X+λ∇R(X)≠02P_\Omega(S')X+\lambda\nabla R(X)\ne02PΩ​(S′)X+λ∇R(X)=0, so the clause would be false as stated. The second-order clause holds regardless; the hypothesis is stated once for the conjunction.

Preamble
import Definitions.Def_MCNoSpuriousMinModel
import Mathlib.Topology.Order.LocalExtr
import Mathlib.Topology.Instances.Matrix
open Matrix MatrixCompletion.NoSpuriousMin
Formal statement
theorem MatrixCompletion.NoSpuriousMin.optimality_conditions
    {d r : ℕ} (Z X : Matrix (Fin d) (Fin r) ℝ) (Ω : Finset (Fin d × Fin d))
    (lam α : ℝ) (hlam : 0 ≤ lam) (hα : 0 < α)
    (hsym : ∀ i j : Fin d, (i, j) ∈ Ω ↔ (j, i) ∈ Ω)
    (hmin : IsLocalMin (objective Z Ω lam α) X) :
    FirstOrderPt Z Ω lam α X ∧ SecondOrderPt Z Ω lam α X := by sorry
Source
Chen, Li 2019, Model-free Nonconvex Matrix Completion: Local Minima Analysis and Applications in Memory-efficient Kernel PCA, JMLR 20(142), https://arxiv.org/abs/1711.01742 (v3) [THE canonical reference: all milestones follow its Section 4], pp. 16-17, Lemma 4.3 (first- and second-order optimality conditions; yields K(X) >= 0 at every local minimum). Provenance: restated there from Ge, Lee, Ma 2016, https://arxiv.org/abs/1605.07272 (v4), p. 11, Proposition 5.1. The symmetry of Omega, ambient in Chen-Li's off-diagonal symmetric Bernoulli model (their Definition 1), is carried as an explicit hypothesis; the first-order clause is false without it.

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