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A transverse pseudo-arclength section has a locally quadratic Newton corrector
Statement
Let , let be open, and let be . Suppose satisfies and has rank . Let be a unit vector, let be a unit vector with for some , and let satisfy . Define Let satisfy and set The derivative is invertible and . There is a local regular unit-speed solution-curve chart through , and after shrinking it, the hyperplane has exactly one intersection with that chart.
Suppose also that for some and the closed ball
lies in and
Then there are and such that each exact-Jacobian
Newton update for started in is defined,
remains in that ball, and satisfies
where (if , any sufficiently small works).
Continuing the exact recurrence indefinitely gives convergence to ;
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 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: and the hypotheses in the Statement.
A regular solution curve has a unique local arclength chart and a quadratic predictor defect: at a root where has rank , a unit kernel vector determines a unique locally normalized solution curve, which has a unit-speed reparameterization with and ; every sufficiently nearby solution lies on this curve.
A transverse predictor hyperplane selects one nearby point of a regular branch: if on a short two-sided chart interval and the signed predictor offset lies between and times its forward length, the hyperplane intersects that entire local branch segment exactly once.
Invertibility and a norm bound for the pseudo-arclength bordered matrix: for rank- with unit kernel , the matrix is invertible when and its inverse norm is at most .
Updated-Jacobian Newton has local quadratic convergence at a simple root: if a
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.
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.
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 , where is its certified residual upper bound.
The chain rule for total derivatives: : the derivative of a composite is the composition of derivatives.
Euclidean maps and diffeomorphisms: means each component has continuous coordinate partial derivatives through order two.
The total (Fréchet) derivative as the linear first-order approximation with remainder: is the linear map in the first-order approximation .
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.
Apply [F1] to obtain a unit-speed branch chart with and . Set if and if ; it is a unit vector, its hyperplane is unchanged, and . By continuity of , shrink the chart to so that . For the offset in [F2] is zero because lies on the hyperplane. The case of [F2] gives exactly one intersection on this chart segment, at .
By [F7], the derivative of at is the bordered matrix The rank, kernel, angle and complement-inverse hypotheses let [F3] give its invertibility and the stated bound .
The last component of is affine, so for in the ball, Also by and the section equation. Apply [F4] to the square map on this ball. It supplies a smaller radius , a uniform inverse bound , and the quadratic estimate with ; its induction also ensures every attempted update stays in the invariant ball.
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 .
Depends on
- Finite-budget Newton preserves its domain and returns a status in bounded outer work
- Invertibility and a norm bound for the pseudo-arclength bordered matrix
- A regular solution curve has a unique local arclength chart and a quadratic predictor defect
- A transverse predictor hyperplane selects one nearby point of a regular branch
- A bounded residual and derivative error give a local root certificate
- Finite-budget Newton for a square vector residual
- Updated-Jacobian Newton has local quadratic convergence at a simple root
- Rank and nullity of a linear map with finite-dimensional domain
- $C^k$ Euclidean maps and diffeomorphisms
- The total (Fréchet) derivative $Df(a)$ as the linear first-order approximation with $o(\|h\|_2)$ remainder
- The chain rule for total derivatives: $D(g\circ f)(a)=Dg(f(a))\circ Df(a)$
Used by
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Sources
- Eugene L. Allgower and Kurt Georg, Numerical Continuation Methods: An Introduction, Springer Series in Computational Mathematics 13 (1990) (standard reference, not scraped)
- K. A. Cliffe, A. Spence, and S. J. Tavener, The numerical analysis of bifurcation problems with application to fluid mechanics, Acta Numerica 9 (2000), 39–131 (standard reference, not scraped)