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Weighted half-tail contractions for give a unique curve with tangent slope bounded by
Statement
Let , and put
Let be a nonempty compact interval, let , and let be open with . For let be of class ( Euclidean maps and diffeomorphisms); write for its restriction to , assume , and suppose that
Let be a sequence with and let satisfy
and assume there is with for every . Choose such that
and put . Write
with metric , and define its closed ball
For and , put and for every , and define by
Then:
- is a complete metric space and is complete in the distance ; for every the map is a contraction with constant , so it has exactly one fixed point ;
- for every one has the a priori bound , and the map is Lipschitz on with
- is continuously differentiable on into : with for and , the derivative is the unique element of satisfying
and ; 4. consequently the local phase curve
defined for is with , and so .
Facts & Assumptions
Given: The parameters , the compact interval , the open neighborhood , the extensions and their restrictions , the two-sign sequence , the reference data , the radius and parameter interval , the weighted space , its closed ball , and the operators .
Each is on the open set , its restriction maps into , and on (given). The box is compact by Heine--Borel; hence the first and second partial derivatives are bounded there (Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line, A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value, Euclidean maps and diffeomorphisms, Directional derivatives and partial derivatives of a map , The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case). If and , the segment lies in . The function is on an open interval containing , and the chain rule gives and with a common finite for both signs (The chain rule for total derivatives: ). The mean-value inequality (The mean value inequality: if is continuous and differentiable on with , then ) applied to gives
For the Taylor remainder, the mean-value inequality applied to on gives ; thus has . Applying the same inequality to on gives
Here is the sum of the absolute values of the two coordinates; the derivative bounds follow from the chain rule and the uniform second-derivative bound above (The chain rule for total derivatives: , The mean value inequality: if is continuous and differentiable on with , then , The total (Fréchet) derivative as the linear first-order approximation with remainder).
The map , , is a bijection with ; hence is a complete metric space, as an isometric copy of the complete space . It maps isometrically onto the closed sup-norm ball , so that ball and therefore are complete as well (The bounded functions on a set form a complete metric space in the supremum metric, and the coding map of the two-sign shift space is an isometry, clauses 1, 2 and 4; Isometry, isometric embedding, and the subspace metric on a subset, Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric).
Banach's fixed point theorem (A contraction of a nonempty complete metric space into itself has exactly one fixed point, the limit of the iterates from any starting point, Lipschitz map, -Hölder map for rational , and contraction): a map of a nonempty complete metric space into itself with constant has exactly one fixed point, and it is the limit of the iterates from every starting point.
Absolute value and order arithmetic (Absolute value in an ordered field, Basic properties of the absolute value, Complete ordered field (least-upper-bound property)): , , and for all .
Proof
Contraction: let and . Every argument pair of lies in : and, for , with . The line segment between the two argument pairs also lies in because is an interval, so the derivative bound in [F1] gives for For only the argument varies, so because . Multiplying by and taking the supremum gives .
Ball invariance: let and . For every , by and the margin hypothesis; also . For , using the reference recurrence of the statement and [F1], For , , so , since . Hence .
Linearised equation: fix and put for and . Define the affine map on by where is held fixed. The homogeneous part is a contraction of constant by the computation of step 1.1, so [F3] gives a unique with , i.e. the displayed system; taking the fixed point of the homogeneous contraction started at gives because the forcing has norm at most .
Fixed point: by [F2], is a nonempty complete metric space. For every , step 2.1 shows maps this ball into itself and step 1.1 shows that it is a contraction with constant ; [F3] therefore gives exactly one fixed point .
Taylor remainder: fix and take small enough that . Put and , and for put and , with and . For , [F1] applied at and gives and multiplying by bounds this by . For the two input differences are and ; [F1] gives a remainder bounded by with a uniform , so altogether with .
Lipschitz dependence and a priori bound: for and , for , while by [F1]. Applying this with and using step 1.1 gives , hence . At , because the zero sequence solves the fixed-point equation; taking one parameter to be gives .
Differentiability: write and for the two partial derivatives of the map at . By step 3.2 applied to the fixed point equations and , with . By step 2.2, ; subtracting from the displayed equation and putting therefore yields , whence . By step 4.1, , so for small and hence : that is, in . This proves differentiability with derivative and identifies it with the solution of clause 3.
Continuity of the derivative: by step 2.2 the difference of the linear operators at and has coefficients , which tend to zero uniformly in as by uniform continuity of the on the compact and by the uniform estimate of step 4.1; the same holds for the forcing. Applying the difference estimate of step 4.1 to the fixed points of the affine maps gives .
The curve: the map has components the identity and the affine function of , and is continuously differentiable by steps 5.1 and 5.2 with derivative ; hence is with the displayed derivative ([F5]). The bound is step 2.2.
Remarks
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The lemma isolates the exact contractive mechanism used for both the unperturbed square-root recurrence and its perturbations: only the two partial-derivative bounds of the update and the existence of one reference half-orbit are used, not the explicit shape of .
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The weighted growth is what makes the solution track the reference half-orbit exponentially; for the phase curve this means that the forward orbits of its points converge to the same limit as the reference orbit, which is the stable-set membership used later.
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No choice principle is used: completeness of the weighted space comes from the complete space of bounded sequences, and the fixed points are unique.
Depends on
The bounded functions on a set form a complete metric space in the supremum metric, and the coding map of the two-sign shift space is an isometry
Isometry, isometric embedding, and the subspace metric on a subset
A contraction of a nonempty complete metric space into itself has exactly one fixed point, the limit of the iterates from any starting point
Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric
Convergence of a sequence in a metric space: iff in
Continuity of at a point of and on : the - condition, its agreement with at a limit point, and continuity at an isolated point
Euclidean maps and diffeomorphisms
Directional derivatives and partial derivatives of a map
The chain rule for total derivatives:
The mean value inequality: if is continuous and differentiable on with , then
A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value
Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line
The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case
The total (Fréchet) derivative as the linear first-order approximation with remainder
Lipschitz map, -Hölder map for rational , and contraction
Absolute value in an ordered field
Basic properties of the absolute value
Complete ordered field (least-upper-bound property)
Dependency tree · 2 levels
Sources
- G. Teschl, Ordinary Differential Equations and Dynamical Systems, AMS Graduate Studies in Mathematics 140 (author's preliminary online edition, complete PDF), Part 2, contraction and implicit-recurrence methods in a complete metric space of sequences
- P. Cvitanović, R. Artuso, R. Mainieri, G. Tanner, G. Vattay, Chaos: Classical and Quantum (ChaosBook.org, edition 17.6.8, complete PDF), Chapter 15 Sections 15.1-15.2, continuation of stable and unstable curves by weighted contractions