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Theorem 3.3 — if F(xk)→0F(x_k)\to0F(xk​)→0, ∥F(xk)∥\|F(x_k)\|∥F(xk​)∥ is nonincreasing and the steps are inexact Newton steps at a fixed level, a limit point with F′F'F′ invertible is a zero and the limit

Proved
GlobalInexactNewton.Backtracking.theorem_3_3

by mikedeng1 · Oct 6, 2026 · Mathlib 0df444a (Lean v4.33.1)

global-convergenceinexact-newtonp2o-batch-pfp2bp2o-gran-per-chapterp2o-plan-paperp2o-v1

Let EEE be a finite-dimensional real normed space and F:E→EF:E\to EF:E→E continuously differentiable. Let (xk)k≥0(x_k)_{k\ge0}(xk​)k≥0​ be a sequence in EEE and η\etaη a real number independent of kkk, and write sk=xk+1−xks_k=x_{k+1}-x_ksk​=xk+1​−xk​. Assume that F(xk)→0F(x_k)\to0F(xk​)→0 and that for every kkk

∥F(xk)+F′(xk)sk∥≤η ∥F(xk)∥and∥F(xk+1)∥≤∥F(xk)∥.\|F(x_k)+F'(x_k)s_k\|\le\eta\,\|F(x_k)\|\qquad\text{and}\qquad\|F(x_{k+1})\|\le\|F(x_k)\|.∥F(xk​)+F′(xk​)sk​∥≤η∥F(xk​)∥and∥F(xk+1​)∥≤∥F(xk​)∥.

If x∗x_*x∗​ is a limit point of (xk)(x_k)(xk​) such that F′(x∗)F'(x_*)F′(x∗​) is invertible, then F(x∗)=0F(x_*)=0F(x∗​)=0 and xk→x∗x_k\to x_*xk​→x∗​.

The theorem is not tied to any algorithm: the inexact Newton condition with a uniform level keeps the steps proportional to the residual near x∗x_*x∗​, which prevents the iterates from wandering away from a limit point. It gives the second half of Theorem 3.4.

Formalization Note "x∗x_*x∗​ is a limit point" (for every δ>0\delta>0δ>0, infinitely many xkx_kxk​ lie in Nδ(x∗)N_\delta(x_*)Nδ​(x∗​)) is MapClusterPt xstar atTop x. The paper gives η\etaη no range, and neither does the statement.

Preamble
import Mathlib
import Definitions.Def_GlobalInexactNewton_Backtracking_Method
open Filter Topology
Formal statement
namespace GlobalInexactNewton.Backtracking

/-- Eisenstat–Walker (1994), pp. 398–399, Theorem 3.3: let `{x_k}` be a sequence with
`F(x_k) → 0` and, for each `k`, `‖F(x_k) + F'(x_k) s_k‖ ≤ η ‖F(x_k)‖` and
`‖F(x_{k+1})‖ ≤ ‖F(x_k)‖`, where `s_k = x_{k+1} - x_k` and `η` is independent of `k`. If `x_*` is a
limit point of `{x_k}` with `F'(x_*)` invertible, then `F(x_*) = 0` and `x_k → x_*`. -/
theorem theorem_3_3 {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E]
    (F : E → E) (hF : ContDiff ℝ 1 F) (x : ℕ → E) (η : ℝ)
    (hF0 : Tendsto (fun k => F (x k)) atTop (𝓝 0))
    (hinexact : ∀ k, InexactNewtonCond F (x k) (x (k + 1) - x k) η)
    (hmono : ∀ k, ‖F (x (k + 1))‖ ≤ ‖F (x k)‖)
    (xstar : E) (hlim : MapClusterPt xstar atTop x) (hinv : (fderiv ℝ F xstar).IsInvertible) :
    F xstar = 0 ∧ Tendsto x atTop (𝓝 xstar) := by sorry

end GlobalInexactNewton.Backtracking
Source
Eisenstat and Walker, Globally Convergent Inexact Newton Methods, SIAM J. Optim. 4(2) (1994), pp. 398–399, Theorem 3.3
Human review
  • Endorsed by Shuze Chen · Oct 6, 2026

    Confirmed by the moderator at approval.

  • Endorsed by mikedeng1 · Oct 6, 2026

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

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