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Global existence, uniqueness and differentiability of the retarded root
Statement
Let , , and be with for all . For every there is exactly one real root of , and . Equality holds exactly when . Thus on the open off-instantaneous-worldline domain one has , , and the root is . With , , and , its derivatives are and , where . If is , for an integer , the root is on ; in particular a trajectory gives a root. A smooth trajectory gives a smooth root. No higher regularity follows from a merely trajectory. These claims concern an all-time uniformly subluminal prescribed history; no finite-history or nonuniform-light-speed-limit assertion is made.
Facts & Assumptions
Given: Reals and , a map with for all , and a point . The Euclidean norm is that of The Euclidean inner product on and Cauchy-Schwarz with its equality case, the triangle inequality for , the parallelogram law and polarisation.
If is differentiable with integrable then ; and a bounded derivative makes Lipschitz: if is continuous on , differentiable at every point of and there, then for all ; and if is integrable then .
The reverse triangle inequality in a normed space: ; Cauchy-Schwarz with its equality case, the triangle inequality for , the parallelogram law and polarisation makes a norm on , so this reverse triangle inequality and the ordinary triangle inequality hold for .
Continuity of the data and of : The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral and Euclidean maps and diffeomorphisms make maps and their derivatives componentwise, and A vector-valued function has a limit, or is continuous, if and only if each of its components does; with the algebra of continuous vector-valued functions with A function differentiable at is continuous at make a differentiable -valued map continuous. Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function gives continuity of sums and scalar multiples on real domains. For maps on a Euclidean domain, continuity of sums follows directly from ; continuity of a composite follows by first taking the outer continuity tolerance and then the inner continuity radius. In particular is continuous, is continuous, the norm is -Lipschitz and continuous, and is continuous on .
Intermediate value theorem, by bisection with a canonical left-half rule: a continuous function on takes every value between and : a continuous real function on a closed bounded interval takes every value between its endpoint values.
The parametrized implicit function theorem with regularity: for , , open and of class , if and is invertible, then near the equation is equivalent to for a unique map , and . Euclidean maps are closed under componentwise algebra and composition: finite sums, products and composites of Euclidean maps are .
A local inverse of a regular map is : a map with invertible derivative at a point has local inverses there. Continuity and derivatives of positive-base real powers: on , in particular for ; Sums, scalar multiples, products and quotients: , , , and when : sums, scalar multiples, products and quotients of differentiable functions are differentiable with the usual rules.
Cutoffs and compact bounds. In ZF, for compact with open there is with and on a neighbourhood of (Test function cutoffs and euclidean localization). Closed bounded real intervals are compact (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), and a continuous real function on a nonempty compact metric space attains finite extrema (A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value). These supply the cutoff and the bounds on in the sharpness branch.
Proof
For all the restriction of to the interval with endpoints is continuous with derivative bounded by at interior points, so [L1] gives ; consequently , and by [L3] each map , is continuous.
For the reverse triangle inequality [L2] gives , so by step 1.1 : the map is strictly increasing and for every . Moreover , so for one has .
Given , put and choose and , so that ; step 2.1 gives and . Since is continuous by step 1.1, Intermediate value theorem, by bisection with a canonical left-half rule: a continuous function on takes every value between and on the nondegenerate interval supplies a root of , i.e. of . If were two roots then would contradict the strict increase of step 2.1, so this root is unique; it satisfies because , with if and only if , that is if and only if . Hence off the instantaneous trajectory, where , one has and , and the set is open because is continuous.
Fix , let , , , and . Since and , one has and .
Define on . Each component of is and the expression is a finite sum of products of functions composed with , so is by [L5]. At the base point of step 4.1, , and computing the partial -derivative along the differentiable curve gives . The parametrized implicit function theorem [L5] (with , parameters ) therefore gives open neighbourhoods , and a unique map with on and .
By [L3] the map is continuous and negative at because is continuous with ; shrinking if necessary, there. On that neighbourhood reads with , hence , that is ; by uniqueness of the root (step 3.1) . Thus is on a neighbourhood of ; since and were arbitrary (and a smooth is for every ), is on , and smooth when is smooth.
Reading off the displayed derivative formula at the base point of step 5.1, and , so and ; since the point was arbitrary in , the same formulas hold on all of , with by step 4.1.
For the sharpness clause use [L7] with to choose with , on and outside , and put . Then is : on it equals with derivative , on it equals with derivative by [L6]; away from it is the smooth product of and , and its derivative vanishes outside the compact cutoff support, and at the difference quotient is , so ; is continuous on the compact interval and zero outside it, so [L7] gives a finite bound ; the same supplier bounds globally. Choose with and set , a trajectory with ; fix and , so and the equation reads . One has , so is strictly increasing, and the root map is the inverse of . At one has and , hence ; if were near , then by [L6] (applied to the map with invertible derivative at ) its local inverse, namely , would be near . But for small , so as : is not twice differentiable at , a contradiction. Hence a merely trajectory need not give a root.
Collecting: existence, uniqueness, with equality exactly on , and the open domain with , are step 3.1; (hence , and smooth for smooth ) regularity on is step 6.1; the derivative formulas and the bound are steps 4.1 and 6.2; the non-improvement witness for a merely trajectory is step 7.1. No Choice principle is used anywhere.
Depends on
Test function cutoffs and euclidean localization
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 derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral
If is differentiable with integrable then ; and a bounded derivative makes Lipschitz
Intermediate value theorem, by bisection with a canonical left-half rule: a continuous function on takes every value between and
The parametrized implicit function theorem with regularity
Euclidean maps and diffeomorphisms
Euclidean maps are closed under componentwise algebra and composition
The Euclidean inner product on
The reverse triangle inequality in a normed space
Cauchy-Schwarz with its equality case, the triangle inequality for , the parallelogram law and polarisation
Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function
A function differentiable at is continuous at
A vector-valued function has a limit, or is continuous, if and only if each of its components does; with the algebra of continuous vector-valued functions
A local inverse of a regular map is
Continuity and derivatives of positive-base real powers
Sums, scalar multiples, products and quotients: , , , and when