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LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedjudge pass (gpt-6-luna)
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A regular solution curve has a unique local arclength chart and a quadratic predictor defect

Statement

Let n≥1, let U⊆Rn+1 be open, and let F:U→Rn be C2. Suppose F(z0)=0 and rank⁡DF(z0)=n. Let t∈ker⁡DF(z0) be a unit vector. There is an interval about 0 and a unique local C2 curve γ(r) satisfying F(γ(r))=0,γ(0)=z0,tT(γ(r)−z0)=r. There is a neighborhood V of z0 in which every solution z of F(z)=0 has the form z=γ(tT(z−z0)). It has γ′(0)=t. After reparameterization by Euclidean arclength, the same local curve is represented by a C1 unit-speed curve c(s) with c(0)=z0 and c′(0)=t.

Let K⊆U be convex, let c(s) and the segment from c(s) to c(s)+hc′(s) lie in K for a step h>0, and suppose ∥DF(u)−DF(v)∥op≤L∥u−v∥2(u,v∈K). For zp:=c(s)+hc′(s), the augmented pseudo-arclength residual Gs,h(z):=(F(z),c′(s)T(z−zp)) satisfies ∥Gs,h(zp)∥2=∥F(zp)∥2≤nL2h2. Thus the predictor defect is quadratic in the step length on the stated tube.

Facts & Assumptions

Given: U,F,z0,t,K,L and the hypotheses in the Statement.

[F1]

Invertibility and a norm bound for the pseudo-arclength bordered matrix: if A:Rn+1→Rn has rank n, t is a unit kernel vector, and τ is unit, then [AτT] is invertible exactly when τTt≠0.

[F2]

The parametrized implicit function theorem with Ck regularity: for a C2 equation whose derivative in the solved variables is invertible, there is a unique local C2 implicit solution, and every nearby zero of the equation is on its graph.

[F3]

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

[F7]

The Euclidean inverse function theorem: a C1 map with invertible derivative at a point has a local C1 inverse.

[F8]

Ck Euclidean maps and diffeomorphisms: C2 means each scalar 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 is the dimension of the image of a linear map with finite-dimensional domain.

[F11]

Rank-nullity: dim⁡FV=nullity⁡T+rank⁡T: the kernel dimension plus the image dimension equals the domain dimension.

Proof

Given: The data and hypotheses in the Statement.

1.1F1F2F3F8F9F10F11given

Define Φ(z,r):=(F(z),tT(z−z0)−r). Its derivative in z at (z0,0) is [DF(z0)tT], which is invertible by [F1] because DF(z0)t=0 and ∥t∥2=1. Apply [F2] with parameter r to obtain the unique local C2 solution z=γ(r) and the stated normalization. For each nearby zero z of F, setting r=tT(z−z0) makes Φ(z,r)=0, so the local uniqueness clause in [F2] places z on this graph. Differentiating the equations at r=0 using [F3] gives DF(z0)γ′(0)=0 and tTγ′(0)=1; rank-nullity [F11] gives dim⁡ker⁡DF(z0)=(n+1)−n=1, so the kernel and unit length of t force γ′(0)=t.

2.1F3F4F5F7F12F13step 1.1algebra

The speed v(r):=∥γ′(r)∥2 is continuous and positive on a smaller interval because v(0)=1. Set ℓ(r):=∫0rv(u) du. On a compact subinterval [a,b] with a<0<b, continuity makes v integrable by [F4]. Set H(r)=∫arv; [F12] gives H′(r)=v(r). By [F13], ℓ(r)=H(r)−H(0) on both sides of zero, so ℓ′(r)=v(r)>0; [F7] therefore gives a local inverse r=r(s). The curve c(s):=γ(r(s)) is C1, satisfies ∥c′(s)∥2=1, and has c(0)=z0, c′(0)=t.

3.1F3F4F5F6F8F9givenstep 2.1

Fix an admissible s,h and put e:=hc′(s). Differentiating the identity F(c(r))=0 at r=s by the chain rule gives DF(c(s))c′(s)=0, hence DF(c(s))e=0. For each coordinate 0≤i<n, apply [F3] and [F4] to u↦Fi(c(s)+ue) and subtract the zero linear term DFi(c(s))e to obtain Fi(c(s)+e)=∫01(DFi(c(s)+ue)−DFi(c(s)))e du. The Lipschitz bound, [F6], and ∥e∥2=h bound the integrand in absolute value by Luh2; [F5] then gives the coordinate bound Lh2/2.

4.1step 3.1algebra∎

Combining the n coordinate bounds gives ∥F(zp)∥2≤nLh2/2. The last coordinate of Gs,h(zp) is zero by the definition of zp, proving the augmented residual bound.

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