How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
The pointwise norm on a tangent space is smooth off the zero vector
Statement
Let be a Riemannian manifold with , let , and let be the pointwise norm on the tangent space at (Pointwise norm and angle from a riemannian metric). Then is smooth on .
Smoothness on the finite-dimensional real vector space is read in its canonical linear structure: for every ordered basis of with coefficient isomorphism (A finite list is an ordered basis if and only if every equals for exactly one ; those scalars are the coordinates of in that ordered basis), the coordinate representative is smooth; this condition is independent of the basis, because a change-of-coordinate map is a linear isomorphism and both it and its inverse are smooth. No choice principle is used beyond fixing one ordered basis.
Facts & Assumptions
Given: The Riemannian manifold with , the point , the tangent space with its real vector-space structure, and the pointwise norm .
is a positive definite symmetric bilinear form on the real vector space : it is linear in each variable, , and for every nonzero (Riemannian metric and riemannian manifold).
If is a smooth -manifold and , then is an -dimensional real vector space (The tangent space of an n-manifold has dimension n).
A vector space is finite-dimensional when it has a finite basis, and means that some basis of satisfies ; the zero space has the empty basis and dimension (Finite-dimensional vector space, and its dimension ; infinite-dimensional means having no finite basis).
Let be a finite list in the vector space . It is an ordered basis of if and only if for every there is exactly one with ; that is the coordinate list of with respect to the ordered basis (A finite list is an ordered basis if and only if every equals for exactly one ; those scalars are the coordinates of in that ordered basis).
A map on an open is of class when each component is in the word-derivative sense of the multi-index convention, and it is smooth () when it is for every ( Euclidean maps and diffeomorphisms).
Finite componentwise sums and products of Euclidean maps are , scalar multiples are included, and a composite of composable Euclidean maps is ( Euclidean maps are closed under componentwise algebra and composition).
For the function is differentiable at every with (For a natural the function is differentiable everywhere with derivative ; for it is the constant , with derivative ; for a natural the function is differentiable at every with derivative ; consequently every polynomial function is differentiable at every real, with the derivative computed term by term); in particular at every .
A map on an open with invertible derivative at admits open neighbourhoods and such that is bijective, with inverse (The Euclidean inverse function theorem).
If in addition is , then every local inverse supplied by the inverse function theorem at is (A local inverse of a regular map is ).
Every has a unique with , written ; in particular for (Square roots exist: a unique with ; the positives are ).
The pointwise norm is (Pointwise norm and angle from a riemannian metric).
Proof
Set-up and the zero-dimensional case. [F2, F3, F4, given] By [F2] the space is an -dimensional real vector space. If , then by [F3], so and the smoothness assertion is vacuous; assume henceforth . By [F3] the finite-dimensional space has a finite basis, and we fix one ordered basis ; fixing a single basis is one existential instantiation and invokes no choice principle. By [F4] every has exactly one coordinate list with . The coefficient map , , is linear and bijective: linear because the coordinate list of is by uniqueness in [F4], injective because forces , and surjective because an arbitrary is the coordinate list of again by uniqueness in [F4].
The square root is smooth on . [F5, F6, F7, F8, F9, F10, given] Let and put , so that by [F10]. The function on the open set is the product of the identity map with itself; the identity map is for every by the definition in [F5] (all its iterated partial derivatives are the constants and ), so [F6] makes for every , that is, smooth. Its derivative at is by [F7], so the derivative is invertible and [F8] supplies open neighbourhoods of and of with bijective and inverse ; since is for every , [F9] makes this same local inverse for every , that is, smooth. For we have and , that is, and ; by the uniqueness clause of [F10] applied to the nonnegative number , . Hence the square root function agrees on the open neighbourhood of the arbitrary point with the smooth map , so it is smooth at every point of .
The norm squared is a quadratic form in the coordinates. [F1, F4, step 1.1] Let and be two vectors of . Bilinearity of [F1] and the coordinate expansion [F4] give a finite sum of products of coordinates with the constants . In particular for and . Positive definiteness [F1] gives for and ; since the coefficient isomorphism of step 1.1 is linear and bijective with , this reads
The quadratic polynomial is smooth. [F5, F6, step 2.1] Each coordinate function on is for every by the definition in [F5]: its iterated coordinate partial derivatives are the constants and . The functions are products of maps and the functions are their scalar multiples, so each is for every by [F6]; the finite sum defining the quadratic form is again for every by [F6], that is, is smooth. Together with step 2.1 this yields the positivity statement exactly for .
The pointwise norm is smooth off zero in the coordinates of the basis. [F1, F6, F11, step 1.1, step 1.2, step 2.1, step 3.1] For the pointwise norm is by [F1], [F11] and step 2.1, and by step 3.1. By step 1.2 the square root is smooth on , and step 3.1 makes smooth on the open set ; the smooth map carries into by step 3.1, so the composite is for every on the open set by the composition clause of [F6]; that is, is smooth. By step 1.1 the coefficient map is a linear bijection, so on ; this exhibits the coordinate representative of the pointwise norm in the ordered basis as a smooth function on .
Basis independence and boundary audit. [F4, F5, F6, F10, step 1.1, step 4.1] Let be a second ordered basis with coefficient isomorphism and representative . The change of coordinates is a linear bijection, hence for every with inverse : a linear map has component functions that are finite sums of scalar multiples of coordinate functions, and both it and its inverse are covered by the algebra and composition clauses of [F6]; the coordinate lists are related by , so is smooth exactly when is, again by [F6]. This proves the claimed independence of the basis. The audit: the zero-dimensional case was disposed of in step 1.1, so the excluded vector is the only point at which smoothness is not asserted, and there by step 2.1 and the square root is not used, since step 1.2 asserts smoothness of the square root only on , whose endpoint is exactly what is being excluded; in dimension one the form is with and is in the coordinate, smooth off the origin and subsumed by the general composite; no degenerate case arises because positive definiteness [F1] makes strictly positive off zero, so never takes the value on the domain of ; no choice principle is used beyond the single existential instantiation of the basis in step 1.1, and the two Euclidean closures of [F6] and the uniqueness clause of [F10] are theorems of ZF; the lemma states a smoothness assertion and no equivalence, so neither forward nor reverse direction of a biconditional is claimed.
Source locator
The fact that the tangent-space norm is smooth off the origin is used throughout the Riemannian literature without proof, for instance in Lee, Riemannian Manifolds: An Introduction to Curvature, Chapter 10, printed pp.173-190, where the radial function in exponential coordinates is , and in Datar, Lectures on Riemannian Geometry, section 23.3, printed pp.170-172, where differentiability of the distance function is reduced to it. The argument above isolates the fact and carries it out from library items: one ordered basis makes the norm the square root of a positive definite quadratic polynomial, polynomials are smooth by Euclidean maps are closed under componentwise algebra and composition, and the square root is smooth on by The Euclidean inverse function theorem applied to together with A local inverse of a regular map is and the uniqueness of the nonnegative square root in Square roots exist: a unique with ; the positives are . No claim is quoted from the sources; the coordinate and inverse-function details are proved here.
Depends on
- The tangent space of an n-manifold has dimension n
- $C^k$ Euclidean maps and diffeomorphisms
- Finite-dimensional vector space, and its dimension $\dim_F V$; infinite-dimensional means having no finite basis
- Pointwise norm and angle from a riemannian metric
- Riemannian metric and riemannian manifold
- For a natural $n \ge 1$ the function $x \mapsto x^{n}$ is differentiable everywhere with derivative $\iota(n)\,x^{\,n-1}$; for $n = 0$ it is the constant $1$, with derivative $0$; for a natural $n \ge 1$ the function $x \mapsto x^{-n}$ is differentiable at every $x \ne 0$ with derivative $-\iota(n)\,x^{-n-1}$; consequently every polynomial function is differentiable at every real, with the derivative computed term by term
- $C^k$ Euclidean maps are closed under componentwise algebra and composition
- The Euclidean inverse function theorem
- A local inverse of a $C^k$ regular map is $C^k$
- Square roots exist: a unique $\sqrt{a} \ge 0$ with $(\sqrt{a})^2 = a$; the positives are $\{x^2 : x \neq 0\}$
- A finite list $v : n \to V$ is an ordered basis if and only if every $x \in V$ equals $\sum_{i<n} \lambda_i v_i$ for exactly one $\lambda : n \to F$; those scalars are the coordinates of $x$ in that ordered basis
Used by
Dependency tree · two levels
69 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- John M. Lee, Riemannian Manifolds: An Introduction to Curvature (1997) (standard reference, not scraped)
- Ved Datar, Lectures on Riemannian Geometry (2025) (standard reference, not scraped)