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The radial composite on an annulus: regularity and
Statement
Let be an open interval (Intervals of : the nine order-convex forms, nondegeneracy, and length), let be of class for some ( Euclidean maps and diffeomorphisms), and put the Euclidean norm of The Euclidean inner product on . Then:
- is open in and ;
- the function , , is of class on ; it is totally differentiable at every (The total (Fréchet) derivative as the linear first-order approximation with remainder) with (The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case);
- the radial composite , , is of class on and totally differentiable at every with that is, .
Facts & Assumptions
Given: The open interval , the function with , the domain , and the maps , of the statement.
The Euclidean norm: ; it vanishes only at , is nonnegative everywhere, satisfies the triangle inequality , and (The Euclidean inner product on , The induced length is a norm).
Reverse triangle inequality: (The reverse triangle inequality in a normed space).
Chain rule and total derivatives: a composite of totally differentiable maps is totally differentiable with the composed derivative (The chain rule for total derivatives: ); the total derivative of a scalar-valued map at a point is the row of directional derivatives, so on it is multiplication by the ordinary derivative (A total derivative computes every directional derivative, and its matrix is the Jacobian, Directional derivatives and partial derivatives of a map , The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case); a map whose first partial derivatives exist near a point and are continuous there is totally differentiable there (If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative); and for a totally differentiable scalar field (For a differentiable scalar field, and the unit direction of steepest ascent is the normalized gradient).
closure: finite componentwise sums, products and scalar multiples of Euclidean maps are , and a composite of composable Euclidean maps is ; a map is when it is for every ( Euclidean maps are closed under componentwise algebra and composition, Euclidean maps and diffeomorphisms, maps and multi-index derivative notation in Euclidean space).
Real powers: is continuous and differentiable on with derivative (Continuity and derivatives of positive-base real powers, Real powers for positive bases, with the zero-base positive-exponent convention).
Induction principle for the statement "for every natural " (The principle of mathematical induction).
Proof
The norm is continuous on by the reverse triangle inequality [L2], so , the preimage of the open set under , is open; and gives . This is clause 1.
Fix and with . By bilinearity, symmetry and [L1], , and therefore , the denominator being at least .
Remainder estimate at : subtracting from step 1.2 and putting over the common denominator gives where [L3] bounds the first numerator term by , [L2] bounds the second by , and the denominator is at least . Hence the normalized remainder tends to as : is totally differentiable at with .
The representing vector: for every , [L4] gives ; comparing with and taking over the standard basis shows . In particular every first partial derivative of agrees on with a component of and is continuous, so is by Euclidean maps and diffeomorphisms.
Chain rule for the composite : is hence totally differentiable, is totally differentiable at every point of by step 2.1, and the domains compose, so [L4] gives ; and because the total derivative of the real function at is multiplication by by [L4]. This is the displayed formula for .
The induction on smoothness: the base case is step 3.1. Assume and . The map is on by [L6] with iterated, so is on as the composite after . The coordinate maps are the components of the identity, whose partial derivatives are the constants ; they are therefore , hence , by Euclidean maps and diffeomorphisms and Directional derivatives and partial derivatives of a map . So , a finite product of maps, is ; since a map is exactly when its first partial derivatives are ( maps and multi-index derivative notation in Euclidean space), is . By induction [L7], for every , that is . This completes clause 2.
The gradient and the regularity: the display of step 3.2 writes as the linear map , so by the same uniqueness argument as step 3.1; and , a composite of the maps and ( Euclidean maps and diffeomorphisms), is on by [L5]. This is clause 3 and completes the proof.
Remarks
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Why the annulus. The proof uses only through the open interval ; on a domain meeting the origin the norm is not differentiable there and the radial composite need not be. The collision-excluded configuration domains of the two-body model are exactly annuli of this shape.
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The inverse-square instance. For with on , clause 3 gives , so the potential presents the attractive inverse-square force with , the form used by the gravitational model of this batch.
Depends on
Intervals of : the nine order-convex forms, nondegeneracy, and length
The Euclidean inner product on
The induced length is a norm
The reverse triangle inequality in a normed space
Cauchy-Schwarz with its equality case, the triangle inequality for , the parallelogram law and polarisation
The total (Fréchet) derivative as the linear first-order approximation with remainder
Euclidean maps and diffeomorphisms
maps and multi-index derivative notation in Euclidean space
The chain rule for total derivatives:
Euclidean maps are closed under componentwise algebra and composition
Continuity and derivatives of positive-base real powers
Real powers for positive bases, with the zero-base positive-exponent convention
For a differentiable scalar field, and the unit direction of steepest ascent is the normalized gradient
A total derivative computes every directional derivative, and its matrix is the Jacobian
The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case
Directional derivatives and partial derivatives of a map
If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative
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
The principle of mathematical induction
Dependency tree · 2 levels
Sources
- David Tong, Classical Dynamics (University of Cambridge), Section 1.2.4, printed page 4 (PDF page 10): the gravitational potential $V=-GMm/r$ and the force $F=-\nabla V$ of the inverse-square field, an instance of the radial gradient computed here
- Konstantin Likharev, Essential Graduate Physics: Classical Mechanics (title page last edited September 1, 2026), Section 3.4 footnote 12, chapter page 8 (PDF page 41): a conservative central force is $F(r)=-\mathrm dU(r)/\mathrm dr$, the radial form of the gradient of a central potential