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Theorem 3.2 — local superlinear convergence of the nonsmooth Newton method at a semismooth regular root

Proved
NonsmoothNewton.Local.newton_local_superlinear

by mikedeng1 · Sep 27, 2026 · Mathlib 0df444a (Lean v4.33.1)

convergence-ratenewton-methodnonsmooth-analysisp2o-batch-p100ap2o-gran-per-chapterp2o-plan-paperp2o-v1

Let F:Rn→RnF : \mathbb R^n \to \mathbb R^nF:Rn→Rn be locally Lipschitz and let x∗x^*x∗ be a solution of F(x)=0F(x) = 0F(x)=0 (3.1). Suppose FFF is semismooth at x∗x^*x∗ and every V∈∂F(x∗)V \in \partial F(x^*)V∈∂F(x∗) is nonsingular. Consider the nonsmooth Newton method

xk+1=xk−Vk−1F(xk),Vk∈∂F(xk).(3.2)x^{k+1} = x^k - V_k^{-1} F(x^k), \qquad V_k \in \partial F(x^k). \tag{3.2}xk+1=xk−Vk−1​F(xk),Vk​∈∂F(xk).(3.2)

Then there is δ>0\delta > 0δ>0 such that:

  1. every V∈∂F(y)V \in \partial F(y)V∈∂F(y) with ∥y−x∗∥<δ\|y - x^*\| < \delta∥y−x∗∥<δ is nonsingular, and a Newton step from such a point yyy (with any V∈∂F(y)V \in \partial F(y)V∈∂F(y)) lands at a point again within distance δ\deltaδ of x∗x^*x∗; so the iteration is well defined from every starting point in this neighbourhood;
  2. every run (xk,Vk)(x^k, V_k)(xk,Vk​) of (3.2) with ∥x0−x∗∥<δ\|x^0 - x^*\| < \delta∥x0−x∗∥<δ, for every choice of Vk∈∂F(xk)V_k \in \partial F(x^k)Vk​∈∂F(xk), has all VkV_kVk​ nonsingular, converges to x∗x^*x∗, and converges superlinearly:
∥xk+1−x∗∥=o(∥xk−x∗∥)(k→∞).\|x^{k+1} - x^*\| = o(\|x^k - x^*\|) \qquad (k \to \infty).∥xk+1−x∗∥=o(∥xk−x∗∥)(k→∞).

This is the basic local convergence theorem for Newton's method with generalized Jacobians: it replaces the classical smoothness assumption by semismoothness and the nonsingular Jacobian by a nonsingular generalized Jacobian.

Formalization Note The printed theorem says the iteration "is well-defined and convergent to x∗x^*x∗ in a neighborhood of x∗x^*x∗"; the superlinear rate is the proof's display (3.3) and is stated here, as a little-ooo along the sequence (Asymptotics.IsLittleO at infinity, no division by ∥xk−x∗∥\|x^k - x^*\|∥xk−x∗∥). "Well defined" is stated as part 1 (nonsingularity in the neighbourhood and invariance of the neighbourhood under one step) and as nonsingularity of every VkV_kVk​ of every run. A run is a sequence with Vk∈∂F(xk)V_k \in \partial F(x^k)Vk​∈∂F(xk) and Vk(xk+1−xk)=−F(xk)V_k(x^{k+1}-x^k) = -F(x^k)Vk​(xk+1−xk)=−F(xk); δ\deltaδ is chosen before the run. Rn\mathbb R^nRn is EuclideanSpace ℝ (Fin n).

Preamble
import Mathlib
import Definitions.Def_NonsmoothNewton_Shared_clarkeJac
import Definitions.Def_NonsmoothNewton_Local_SemismoothAt
import Definitions.Def_NonsmoothNewton_Local_IsNewtonRun
open Filter Topology
Formal statement
namespace NonsmoothNewton.Local

/-- Qi–Sun (1993), Theorem 3.2 (local convergence), p. 359, with the superlinear rate (3.3) of its
proof. Let `F : ℝⁿ → ℝⁿ` be locally Lipschitz, `F(x*) = 0`, `F` semismooth at `x*`, and every
`V ∈ ∂F(x*)` nonsingular. Then there is `δ > 0` such that
* every `V ∈ ∂F(y)` with `‖y - x*‖ < δ` is nonsingular, and a Newton step (3.2) from such a `y`
  lands again within `δ` of `x*` (the iteration is well defined in this neighbourhood);
* every run of (3.2) with `‖x⁰ - x*‖ < δ`, for every choice of `V_k ∈ ∂F(x^k)`, has all `V_k`
  nonsingular, converges to `x*`, and `‖x^{k+1} - x*‖ = o(‖x^k - x*‖)`. -/
theorem newton_local_superlinear {n : ℕ}
    (F : EuclideanSpace ℝ (Fin n) → EuclideanSpace ℝ (Fin n)) (hF : LocallyLipschitz F)
    (xstar : EuclideanSpace ℝ (Fin n)) (hroot : F xstar = 0) (hsemi : SemismoothAt F xstar)
    (hns : ∀ V ∈ NonsmoothNewton.Shared.clarkeJac F xstar, IsUnit V) :
    ∃ δ > 0,
      (∀ y : EuclideanSpace ℝ (Fin n), ‖y - xstar‖ < δ → ∀ W ∈ NonsmoothNewton.Shared.clarkeJac F y, IsUnit W) ∧
      (∀ y y' : EuclideanSpace ℝ (Fin n), ‖y - xstar‖ < δ → ∀ W ∈ NonsmoothNewton.Shared.clarkeJac F y,
        W (y' - y) = - F y → ‖y' - xstar‖ < δ) ∧
      (∀ (x : ℕ → EuclideanSpace ℝ (Fin n))
        (V : ℕ → EuclideanSpace ℝ (Fin n) →L[ℝ] EuclideanSpace ℝ (Fin n)),
        ‖x 0 - xstar‖ < δ → IsNewtonRun F x V →
          (∀ k, IsUnit (V k)) ∧ Tendsto x atTop (𝓝 xstar) ∧
          (fun k => x (k + 1) - xstar) =o[atTop] (fun k => x k - xstar)) := by sorry

end NonsmoothNewton.Local
Source
Qi, Sun, A nonsmooth version of Newton's method, Math. Programming 58 (1993), p. 359, Theorem 3.2 (first sentence) and proof, Eq. (3.3)
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What the Lean code literally says, in plain math · claude-opus-5-5

Let n∈Nn \in \mathbb{N}n∈N and write Rn\mathbb{R}^nRn for nnn-dimensional Euclidean space with the Euclidean norm ∥⋅∥\|\cdot\|∥⋅∥. The statement is about three objects that are defined in imported files. Those files are not shown here, so this read-back can refer to them only by name and cannot unfold them:

  • ∂F(y)\partial F(y)∂F(y) is clarkeJac F y. It is some set of continuous linear maps Rn→Rn\mathbb{R}^n \to \mathbb{R}^nRn→Rn attached to FFF and the point yyy. Its name suggests the Clarke generalized Jacobian.
  • "FFF is semismooth at x∗x^*x∗" is SemismoothAt F xstar. It is a property of FFF at the point x∗x^*x∗.
  • "(x,V)(x, V)(x,V) is a Newton run of FFF" is IsNewtonRun F x V. It is a relation between FFF, a sequence of points x=(xk)k∈Nx = (x^k)_{k \in \mathbb{N}}x=(xk)k∈N​ in Rn\mathbb{R}^nRn, and a sequence of continuous linear maps V=(Vk)k∈NV = (V_k)_{k \in \mathbb{N}}V=(Vk​)k∈N​ on Rn\mathbb{R}^nRn.

Throughout, "WWW is invertible" means that WWW is a unit in the ring of continuous linear maps Rn→Rn\mathbb{R}^n \to \mathbb{R}^nRn→Rn. In other words, WWW has a two-sided continuous linear inverse, which in finite dimension is the same as a nonsingular n×nn \times nn×n matrix.

Hypotheses. Take any map F:Rn→RnF : \mathbb{R}^n \to \mathbb{R}^nF:Rn→Rn and any point x∗∈Rnx^* \in \mathbb{R}^nx∗∈Rn such that:

  1. FFF is locally Lipschitz: every point has a neighbourhood on which FFF is Lipschitz.
  2. F(x∗)=0F(x^*) = 0F(x∗)=0.
  3. FFF is semismooth at x∗x^*x∗, in the sense of the imported definition.
  4. Every V∈∂F(x∗)V \in \partial F(x^*)V∈∂F(x∗) is invertible.

Conclusion. There is a real number δ>0\delta > 0δ>0 such that all three of the following hold. The same δ\deltaδ serves all three clauses and every sequence in clause (c). No upper bound on δ\deltaδ is asserted.

(a) Invertibility near x∗x^*x∗. For every y∈Rny \in \mathbb{R}^ny∈Rn with ∥y−x∗∥<δ\|y - x^*\| < \delta∥y−x∗∥<δ, every W∈∂F(y)W \in \partial F(y)W∈∂F(y) is invertible.

(b) One step stays in the ball. Take any y,y′∈Rny, y' \in \mathbb{R}^ny,y′∈Rn with ∥y−x∗∥<δ\|y - x^*\| < \delta∥y−x∗∥<δ, and any W∈∂F(y)W \in \partial F(y)W∈∂F(y), such that

W(y′−y)=−F(y).W(y' - y) = -F(y).W(y′−y)=−F(y).

Then ∥y′−x∗∥<δ\|y' - x^*\| < \delta∥y′−x∗∥<δ.

This clause is only an implication about any y′y'y′ that already solves the equation. It does not itself state that such a y′y'y′ exists. Existence and uniqueness would follow separately from (a), since WWW is invertible there.

(c) Newton runs. Take any sequence of points (xk)k∈N(x^k)_{k \in \mathbb{N}}(xk)k∈N​ in Rn\mathbb{R}^nRn and any sequence (Vk)k∈N(V_k)_{k \in \mathbb{N}}(Vk​)k∈N​ of continuous linear maps on Rn\mathbb{R}^nRn such that:

  • ∥x0−x∗∥<δ\|x^0 - x^*\| < \delta∥x0−x∗∥<δ, and
  • (x,V)(x, V)(x,V) is a Newton run of FFF.

Then:

  • every VkV_kVk​ is invertible, for all k∈Nk \in \mathbb{N}k∈N;
  • xk→x∗x^k \to x^*xk→x∗ as k→∞k \to \inftyk→∞;
  • xk+1−x∗=o(xk−x∗)x^{k+1} - x^* = o(x^k - x^*)xk+1−x∗=o(xk−x∗) as k→∞k \to \inftyk→∞. Concretely, for every ε>0\varepsilon > 0ε>0 there is a KKK such that for all k≥Kk \ge Kk≥K,
∥xk+1−x∗∥≤ε ∥xk−x∗∥.\|x^{k+1} - x^*\| \le \varepsilon \, \|x^k - x^*\|.∥xk+1−x∗∥≤ε∥xk−x∗∥.

Whether the VkV_kVk​ must lie in ∂F(xk)\partial F(x^k)∂F(xk), and whether xk+1x^{k+1}xk+1 must satisfy Vk(xk+1−xk)=−F(xk)V_k(x^{k+1} - x^k) = -F(x^k)Vk​(xk+1−xk)=−F(xk), depends entirely on the imported definition of a Newton run. The statement shown does not say either of these things itself.

Degenerate cases.

  • n=0n = 0n=0. R0\mathbb{R}^0R0 is the single point {0}\{0\}{0}. Every map on it is both the zero map and the identity, so it is invertible, and every sequence is constant and equal to x∗x^*x∗. So every conclusion holds for any δ>0\delta > 0δ>0. Clause (c) then holds trivially: 0≤ε⋅00 \le \varepsilon \cdot 00≤ε⋅0.

  • Empty or unsatisfiable definitions. The following turn parts of the statement into vacuous statements:

    • If ∂F(x∗)\partial F(x^*)∂F(x∗) is empty, hypothesis 4 is vacuous.
    • If ∂F(y)\partial F(y)∂F(y) is empty for points yyy near x∗x^*x∗, clauses (a) and (b) are vacuous at those points.
    • If no pair (x,V)(x, V)(x,V) satisfies the Newton-run relation, clause (c) is vacuous.
    • If the semismoothness predicate can never hold together with the other hypotheses, the whole theorem is vacuous.

    None of these can be ruled out without the imported definitions.

  • The little-o condition when iterates reach x∗x^*x∗. The condition is stated with non-strict inequality and no division, so no default values from division by zero arise. If xk=x∗x^k = x^*xk=x∗ for some large kkk, it forces xk+1=x∗x^{k+1} = x^*xk+1=x∗ as well.

  • No other defaults. There are no natural-number subtractions, integrals, or suprema in the statement itself.

Human review
  • Endorsed by Shuze Chen · Sep 27, 2026

    Confirmed by the moderator at approval.

  • Endorsed by mikedeng1 · Sep 27, 2026

    Confirmed by the mission captain (proposal self-audit).

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