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The pointwise norm on a tangent space is smooth off the zero vector

Statement

Let (M,g) be a Riemannian manifold with n=dim⁡M∈N, let p∈M, and let Np:TpM→R,Np(w)=∣w∣g=gp(w,w), be the pointwise norm on the tangent space at p (Pointwise norm and angle from a riemannian metric). Then Np is smooth on TpM∖{0p}.

Smoothness on the finite-dimensional real vector space TpM is read in its canonical linear structure: for every ordered basis e1,…,en of TpM with coefficient isomorphism v:TpM→Rn (A finite list v:n→V is an ordered basis if and only if every x∈V equals ∑i<nλivi for exactly one λ:n→F; those scalars are the coordinates of x in that ordered basis), the coordinate representative σe(λ)=Np(∑i=1nλiei),λ∈Rn∖{0}, 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 (M,g) with n=dim⁡M∈N, the point p∈M, the tangent space TpM with its real vector-space structure, and the pointwise norm Np.

[F1]

gp is a positive definite symmetric bilinear form on the real vector space TpM: it is linear in each variable, gp(w,w′)=gp(w′,w), and gp(w,w)>0 for every nonzero w∈TpM (Riemannian metric and riemannian manifold).

[F2]

If M is a smooth n-manifold and p∈M, then TpM is an n-dimensional real vector space (The tangent space of an n-manifold has dimension n).

[F3]

A vector space is finite-dimensional when it has a finite basis, and dim⁡FV=n means that some basis B of V satisfies B≈n; the zero space has the empty basis and dimension 0 (Finite-dimensional vector space, and its dimension dim⁡FV; infinite-dimensional means having no finite basis).

[F4]

Let v:n→V be a finite list in the vector space V. It is an ordered basis of V if and only if for every x∈V there is exactly one λ:n→F with x=∑i<nλivi; that λ is the coordinate list of x with respect to the ordered basis (A finite list v:n→V is an ordered basis if and only if every x∈V equals ∑i<nλivi for exactly one λ:n→F; those scalars are the coordinates of x in that ordered basis).

[F5]

A map f:U→Rq on an open U⊆Rm is of class Ck when each component is Ck in the word-derivative sense of the multi-index convention, and it is smooth (C∞) when it is Ck for every k∈N (Ck Euclidean maps and diffeomorphisms).

[F6]

Finite componentwise sums and products of Ck Euclidean maps are Ck, scalar multiples are included, and a composite of composable Ck Euclidean maps is Ck (Ck Euclidean maps are closed under componentwise algebra and composition).

[F8]

A C1 map f:U→Rn on an open U⊆Rn with invertible derivative Df(a) at a∈U admits open neighbourhoods V∋a and W∋f(a) such that f∣V:V→W is bijective, with C1 inverse g:W→V (The Euclidean inverse function theorem).

[F9]

If in addition f is Ck, then every local inverse supplied by the inverse function theorem at a is Ck (A local inverse of a Ck regular map is Ck).

[F10]

Every a≥0 has a unique s≥0 with s2=a, written s=a; in particular a>0 for a>0 (Square roots exist: a unique a≥0 with (a)2=a; the positives are {x2:x≠0}).

[F11]

The pointwise norm is ∣v∣g=g(v,v) (Pointwise norm and angle from a riemannian metric).

Proof

technique · transport the norm to $\mathbb R^n$ along the coefficient isomorphism of one ordered basis, where it becomes the square root of a positive definite quadratic form; polynomials are smooth, the square root is smooth on $(0,\infty)$ by the inverse function theorem with higher regularity, and smoothness is transported back and checked to be basis-independent
1.1

Set-up and the zero-dimensional case. [F2, F3, F4, given] By [F2] the space TpM is an n-dimensional real vector space. If n=0, then TpM={0p} by [F3], so TpM∖{0p}=∅ and the smoothness assertion is vacuous; assume henceforth n≥1. By [F3] the finite-dimensional space TpM has a finite basis, and we fix one ordered basis e1,…,en; fixing a single basis is one existential instantiation and invokes no choice principle. By [F4] every w∈TpM has exactly one coordinate list (v1(w),…,vn(w))∈Rn with w=∑i=1nvi(w)ei. The coefficient map v:TpM→Rn, v(w)=(v1(w),…,vn(w)), is linear and bijective: linear because the coordinate list of αw+βw′ is αv(w)+βv(w′) by uniqueness in [F4], injective because v(w)=0 forces w=∑i0 ei=0p, and surjective because an arbitrary λ∈Rn is the coordinate list of ∑iλiei again by uniqueness in [F4].

1.2

The square root is smooth on (0,∞). [F5, F6, F7, F8, F9, F10, given] Let x0>0 and put t0:=x0>0, so that t02=x0 by [F10]. The function f(t):=t2 on the open set U:=(0,∞)⊆R is the product of the identity map with itself; the identity map is Ck for every k by the definition in [F5] (all its iterated partial derivatives are the constants 0 and 1), so [F6] makes f Ck for every k, that is, smooth. Its derivative at t0 is f′(t0)=2t0≠0 by [F7], so the derivative is invertible and [F8] supplies open neighbourhoods V of t0 and W of x0 with f∣V:V→W bijective and C1 inverse g:W→V; since f is Ck for every k, [F9] makes this same local inverse Ck for every k, that is, smooth. For y∈W we have g(y)∈V⊆(0,∞) and f(g(y))=y, that is, g(y)≥0 and g(y)2=y; by the uniqueness clause of [F10] applied to the nonnegative number y, g(y)=y. Hence the square root function agrees on the open neighbourhood W of the arbitrary point x0>0 with the smooth map g, so it is smooth at every point of (0,∞).

2.1

The norm squared is a quadratic form in the coordinates. [F1, F4, step 1.1] Let w=∑i=1nvi(w)ei and w′=∑j=1nv′j(w′)ej be two vectors of TpM. Bilinearity of gp [F1] and the coordinate expansion [F4] give gp(w,w′)=∑i,j=1nvi(w)v′j(w′) cij,cij:=gp(ei,ej)∈R, a finite sum of products of coordinates with the constants cij. In particular Q(w):=gp(w,w)=q(v(w)),q(λ):=∑i,j=1ncijλiλj, for w∈TpM and λ∈Rn. Positive definiteness [F1] gives Q(w)>0 for w≠0p and Q(0p)=0; since the coefficient isomorphism v of step 1.1 is linear and bijective with v(0p)=0, this reads q(λ)>0  for  λ≠0,q(0)=0.

3.1

The quadratic polynomial is smooth. [F5, F6, step 2.1] Each coordinate function λ↦λi on Rn is Ck for every k by the definition in [F5]: its iterated coordinate partial derivatives are the constants 0 and 1. The functions λ↦λiλj are products of Ck maps and the functions λ↦cijλiλj are their scalar multiples, so each is Ck for every k by [F6]; the finite sum q defining the quadratic form is again Ck for every k by [F6], that is, q is smooth. Together with step 2.1 this yields the positivity statement q(λ)>0 exactly for λ≠0.

4.1

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 w≠0p the pointwise norm is Np(w)=∣w∣g=gp(w,w)=q(v(w)) by [F1], [F11] and step 2.1, and q(v(w))>0 by step 3.1. By step 1.2 the square root is smooth on (0,∞), and step 3.1 makes q smooth on the open set Rn; the smooth map q carries Rn∖{0} into (0,∞) by step 3.1, so the composite σ(λ):=q(λ) is Ck for every k on the open set Rn∖{0} by the composition clause of [F6]; that is, σ is smooth. By step 1.1 the coefficient map v is a linear bijection, so Np=σ∘v on TpM∖{0p}; this exhibits the coordinate representative σ=σe of the pointwise norm in the ordered basis e1,…,en as a smooth function on Rn∖{0}.

5.1

Basis independence and boundary audit. [F4, F5, F6, F10, step 1.1, step 4.1] Let e1′,…,en′ be a second ordered basis with coefficient isomorphism v′ and representative σe′. The change of coordinates v′∘v−1:Rn→Rn is a linear bijection, hence Ck for every k with Ck inverse v∘v′−1: 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 v′(w)=(v′∘v−1)(v(w)), so σe′=σe∘(v∘v′−1) is smooth exactly when σe 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 0p is the only point at which smoothness is not asserted, and there Np(0p)=q(0)=0 by step 2.1 and the square root is not used, since step 1.2 asserts smoothness of the square root only on (0,∞), whose endpoint 0 is exactly what is being excluded; in dimension one the form is q(λ)=c11λ2 with c11>0 and Np is c11 ∣λ∣ in the coordinate, smooth off the origin and subsumed by the general composite; no degenerate case arises because positive definiteness [F1] makes q strictly positive off zero, so q never takes the value 0 on the domain of σ; 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 q↦∣exp⁡p−1(q)∣gp, 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 Ck Euclidean maps are closed under componentwise algebra and composition, and the square root is smooth on (0,∞) by The Euclidean inverse function theorem applied to t↦t2 together with A local inverse of a Ck regular map is Ck and the uniqueness of the nonnegative square root in Square roots exist: a unique a≥0 with (a)2=a; the positives are {x2:x≠0}. No claim is quoted from the sources; the coordinate and inverse-function details are proved here.

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