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A transverse pseudo-arclength section has a locally quadratic Newton corrector

Statement

Let n≥1, let U⊆Rn+1 be open, and let F:U→Rn be C2. Suppose z∗∈U satisfies F(z∗)=0 and A:=DF(z∗) has rank n. Let t∈ker⁡A be a unit vector, let τ∈Rn+1 be a unit vector with ∣τTt∣≥c for some 0<c≤1, and let zp satisfy τT(z∗−zp)=0. Define G(z):=(F(z),τT(z−zp)). Let KA≥0 satisfy ∥(A∣t⊥)−1u∥2≤KA∥u∥2(u∈Rn), and set β∗:=KA2(1+c−1)2+c−2. The derivative DG(z∗) is invertible and ∥DG(z∗)−1∥op≤β∗. There is a local regular unit-speed solution-curve chart through z∗, and after shrinking it, the hyperplane τT(z−zp)=0 has exactly one intersection with that chart.

Suppose also that for some R>0 and L≥0 the closed ball B‾2(z∗,R) lies in U and ∥DF(u)−DF(v)∥op≤L∥u−v∥2(u,v∈B‾2(z∗,R)). Then there are ρ∈(0,R] and K>0 such that each exact-Jacobian Newton update for G started in B‾2(z∗,ρ) is defined, remains in that ball, and satisfies ∥zk+1−z∗∥2≤C∥zk−z∗∥22,C:=KL/2, where Cρ≤1/2 (if L=0, any sufficiently small ρ works). Continuing the exact recurrence indefinitely gives convergence to z∗; a finite update budget may stop first, and its root status means only that the residual tolerance was met. Separately, whenever the hypotheses of A bounded residual and derivative error give a local root certificate hold for G on a proposed closed ball, that theorem certifies exactly one zero there and its stated residual-to-root error bound. These conclusions are local and imply no global branch-completeness claim.

Facts & Assumptions

Given: n,U,F,z∗,A,t,τ,zp,KA,c,R,L and the hypotheses in the Statement.

[F1]

A regular solution curve has a unique local arclength chart and a quadratic predictor defect: at a root where DF has rank n, a unit kernel vector determines a unique locally normalized solution curve, which has a C1 unit-speed reparameterization c(s) with c(0)=z∗ and c′(0)=t; every sufficiently nearby solution lies on this curve.

[F2]

A transverse predictor hyperplane selects one nearby point of a regular branch: if τTc′(s)≥κ>0 on a short two-sided chart interval and the signed predictor offset lies between 0 and κ times its forward length, the hyperplane intersects that entire local branch segment exactly once.

[F3]

Invertibility and a norm bound for the pseudo-arclength bordered matrix: for rank-n A with unit kernel t, the matrix [AτT] is invertible when ∣τTt∣≥c>0 and its inverse norm is at most KA2(1+c−1)2+c−2.

[F4]

Updated-Jacobian Newton has local quadratic convergence at a simple root: if a C2 square residual has an exact zero with invertible Jacobian and a Lipschitz Jacobian on a closed ball, there is a smaller invariant ball on which every exact Newton update is defined and satisfies the quadratic error recurrence; an infinite recurrence converges, while finite-budget root status records only a residual tolerance.

[F5]

Finite-budget Newton for a square vector residual specifies the residual, trial-domain, singularity and budget branches. Its correction-call bound is proved in Finite-budget Newton preserves its domain and returns a status in bounded outer work; budget exhaustion may precede tolerance attainment.

[F6]

A bounded residual and derivative error give a local root certificate: under its certified residual/Jacobian error, inverse, Lipschitz and strict contraction hypotheses, a square residual has exactly one zero in the proposed ball and the distance from its center is at most βρg/(1−q), where ρg is its certified residual upper bound.

[F7]

The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a): the derivative of a composite is the composition of derivatives.

[F8]

Ck Euclidean maps and diffeomorphisms: C2 means each component has continuous coordinate partial derivatives through order two.

[F9]

The total (Fréchet) derivative Df(a) as the linear first-order approximation with o(∥h∥2) remainder: DF(z) is the linear map in the first-order approximation F(z+h)=F(z)+DF(z)h+o(∥h∥2).

[F10]

Rank and nullity of a linear map with finite-dimensional domain: rank of a map with finite-dimensional domain is the dimension of its image.

Proof

Given: The data and hypotheses in the Statement.

1.1F1F2F8F9F10givenchoose

Apply [F1] to obtain a C1 unit-speed branch chart c(s) with c(0)=z∗ and c′(0)=t. Set τ~:=τ if τTt>0 and τ~:=−τ if τTt<0; it is a unit vector, its hyperplane is unchanged, and τ~Tc′(0)=∣τTt∣≥c. By continuity of c′, shrink the chart to [−r,r] so that τ~Tc′(s)≥c/2. For g(s):=τ~T(c(s)−zp) the offset in [F2] is zero because z∗ lies on the hyperplane. The d=0 case of [F2] gives exactly one intersection on this chart segment, at s=0.

1.2F3F7F9F10givenalgebra

By [F7], the derivative of G at z∗ is the bordered matrix DG(z∗)=[AτT]. The rank, kernel, angle and complement-inverse hypotheses let [F3] give its invertibility and the stated bound β∗.

2.1F4F8F9F10givenstep 1.2algebra

The last component of G is affine, so for u,v in the ball, ∥DG(u)−DG(v)∥op=∥[DF(u)−DF(v)0]∥op≤L∥u−v∥2. Also G(z∗)=0 by F(z∗)=0 and the section equation. Apply [F4] to the square map G on this ball. It supplies a smaller radius ρ, a uniform inverse bound K, and the quadratic estimate with C=KL/2; its induction also ensures every attempted update stays in the invariant ball.

3.1F5F6step 2.1given∎

The finite procedure in [F5] uses exactly these updates and its own residual, domain, singularity and budget checks. Hence any update it attempts from the invariant ball has the bound of step 2.1; if it stops for the iteration budget before reaching tolerance, no exact-zero conclusion follows. For a separately supplied approximate residual/Jacobian tuple satisfying [F6], that certificate gives the stated unique local zero and error bound for this same augmented map G.

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