Alphabeta Math
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.

30 results · all verified · 0 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full and owner-audited; the judge is an additional, independent cross-model AI review of the proofs. The 30 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

Tensor Fields Exterior Algebra and Differential Forms

1 · Prerequisites

2 · Summary

This page defines tensors intrinsically as multilinear maps, builds the finite-dimensional exterior algebra from alternating covectors and duality, and then globalizes the constructions to tensor bundles, tensor fields, and differential forms. It stops before exterior derivative, Lie derivative, Cartan calculus, and de Rham theory.

3 · Logical flowchart

4 · Definitions, theorems and proofs

DefinitionDefinition: Literature-sourcedProof: Not applicableaudited 2026-09-01Open item page →

A type (r,s) tensor on a finite-dimensional vector space

Definition

Let V be a finite-dimensional real vector space, and let r,s0. A type (r,s) tensor on V is a multilinear map

T:(V)r×VsR.

With this convention, vectors are type (1,0) tensors and covectors are type (0,1) tensors.

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-01Open item page →

The tensor product of multilinear tensors

Definition

Let S be a type (r,s) tensor and T a type (r,s) tensor on the same finite-dimensional vector space V. Their tensor product is the type (r+r,s+s) tensor ST defined by

(ST)(α1,,αr+r,v1,,vs+s):=S(α1,,αr,v1,,vs)T(αr+1,,αr+r,vs+1,,vs+s).

PropositionStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

Tensor product of multilinear tensors is associative and bilinear

Statement

On a finite-dimensional real vector space, the tensor product of multilinear tensors is associative and bilinear in each factor.

Facts & Assumptions

Given: Tensors R,S,T on the same finite-dimensional real vector space and scalars a,b.

[F1]

The tensor product is defined by multiplying the two factor values on concatenated arguments (The tensor product of multilinear tensors).

Proof

technique · direct
1.1

Fix a list of arguments of the right total type. By [F1], ((RS)T) evaluates on that list as the product of the three separate values R()S()T().

F1givenalgebra
1.2

The same formula [F1] gives exactly the same scalar for R(ST) on the same list of arguments. Hence (RS)T=R(ST).

F1givenalgebra
1.3

Again by [F1], ((aR+bS)T)()=(aR+bS)()T()=a(RT)()+b(ST)(), and the same computation in the second slot gives bilinearity there as well.

F1givenalgebra
2.1

Therefore the tensor product is associative and bilinear in each factor.

step 1.2step 1.3
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-01Open item page →

The permutation action on covariant tensors

Definition

Let V be a finite-dimensional real vector space, let k0, and let σSk. If T:VkR is covariant of degree k, define σT by

(σT)(v1,,vk):=T(vσ(1),,vσ(k)).
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-01Open item page →

Symmetrization and alternation operators

Definition

Let T:VkR be covariant of degree k. Its symmetrization and alternation are

Sym(T):=1k!σSkσT,Alt(T):=1k!σSksgn(σ)σT.

PropositionStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

Symmetrization and alternation are projections

Statement

For each k, the operators Sym and Alt on covariant k-tensors satisfy

Sym2=Sym,Alt2=Alt.

Their images are exactly the symmetric and alternating covariant tensors.

Facts & Assumptions

Given: A covariant k-tensor T.

[F1]

Symmetrization and alternation are the normalized averages over Sk, with and without the sign factor (Symmetrization and alternation operators).

Proof

technique · direct
1.1

Applying Sym twice gives a double average over Sk×Sk. Reindex by the product permutation ρ=στ; each ρ occurs exactly k! times, so the second averaging changes nothing. Thus Sym(SymT)=SymT.

F1givenalgebra
1.2

The same reindexing works for Alt, and the sign factors multiply to sgn(στ). Hence Alt(AltT)=AltT.

F1givenalgebra
2.1

If T is symmetric, every summand in [F1] equals T, so SymT=T. Conversely, SymT is fixed by every permutation because averaging over the whole group is permutation-invariant. The alternating case is identical, with the sign picked up under permutation.

F1step 1.1step 1.2
3.1

Therefore Sym and Alt are projections onto the symmetric and alternating tensors.

step 1.1step 1.2step 2.1
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-01Open item page →

The contraction of a mixed tensor

Definition

Let T be a type (r,s) tensor on V with r,s1. Contracting the first contravariant slot against the first covariant slot gives the type (r1,s1) tensor ctr(T) defined intrinsically by

ctr(T)(α2,,αr,v2,,vs):=iT(ei,α2,,αr,ei,v2,,vs),

where (ei) is any basis of V and (ei) its dual basis. The next lemma shows that this formula is basis-independent.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

Contraction is independent of the basis formula

Statement

The contraction formula

iT(ei,α2,,αr,ei,v2,,vs)

has the same value for every basis (ei) and its dual basis (ei).

Facts & Assumptions

Given: A type (r,s) tensor T with r,s1, fixed arguments α2,,αr,v2,,vs, and two bases (ei) and (bj) with dual families (ei) and (bj).

[F1]

Contraction is given by the displayed dual-basis sum (The contraction of a mixed tensor).

[L1]

Proof

technique · direct
1.1

Define the bilinear map B:V×VR by B(β,w)=T(β,α2,,αr,w,v2,,vs). Then the two contraction sums are iB(ei,ei) and jB(bj,bj).

F1givenconstruct
2.1

By [L1], any vector w satisfies w=iei(w)ei=jbj(w)bj, and any covector β satisfies β=iβ(ei)ei=jβ(bj)bj. Bilinearity of B therefore gives iB(ei,ei)=i,jbj(ei)B(ei,bj)=jB(ibj(ei)ei,bj)=jB(bj,bj).

L1step 1.1algebra
3.1

The displayed sum is therefore basis-independent, so contraction is intrinsically defined.

step 2.1
DefinitionDefinition: Literature-sourcedProof: Not applicableaudited 2026-09-01Open item page →

The pullback of a covariant tensor by a linear map

Definition

Let V and W be finite-dimensional real vector spaces, let k0 be an integer, let A:VW be linear, and let T:WkR be a covariant tensor of degree k. Its pullback AT is the covariant tensor on V defined by

(AT)(v1,,vk):=T(Av1,,Avk).
PropositionStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

Linear pullback respects tensor products and permutations

Statement

Let V and W be finite-dimensional real vector spaces, let A:VW be linear, let S and T be covariant tensors on W of degrees k and , respectively, and let σS. Then

A(ST)=ASAT,A(σT)=σ(AT).

Facts & Assumptions

Given: Finite-dimensional real vector spaces V,W, a linear map A:VW, covariant tensors S,T on W of degrees k,, and a permutation σS.

[F1]

Pullback of a covariant tensor substitutes Avi into every slot (The pullback of a covariant tensor by a linear map).

[F2]

Tensor product multiplies the factor values on concatenated arguments, and the permutation action reorders the arguments (The tensor product of multilinear tensors, The permutation action on covariant tensors).

Proof

technique · direct
1.1

Evaluating on v1,,vk+ and using [F1] and [F2], A(ST)(v1,,vk+)=(ST)(Av1,,Avk+)=S(Av1,,Avk)T(Avk+1,,Avk+), which is exactly (ASAT)(v1,,vk+).

F1F2givenalgebra
1.2

Likewise, A(σT)(v1,,v)=(σT)(Av1,,Av)=T(Avσ(1),,Avσ()), which equals (σAT)(v1,,v).

F1F2givenalgebra
2.1

Therefore linear pullback respects tensor products and permutations.

step 1.1step 1.2
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-01Open item page →

Alternating k-covectors

Definition

Let V be a finite-dimensional real vector space. For k0, let Altk(V) be the vector space of alternating k-linear maps VkR. By convention,

Alt0(V):=R.

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-01Open item page →

The wedge product of alternating covectors

Definition

If αAltk(V) and βAlt(V), their wedge product is

αβ:=(k+)!k!!Alt(αβ).

Equivalently,

(αβ)(v1,,vk+)=σSh(k,)sgn(σ)α(vσ(1),,vσ(k))β(vσ(k+1),,vσ(k+)),

where Sh(k,) is the set of (k,)-shuffles.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

The wedge product is alternating and bilinear

Statement

If αAltk(V) and βAlt(V), then αβ is alternating of degree k+, and the wedge product is bilinear in (α,β).

Facts & Assumptions

Given: Alternating covectors α,αAltk(V), β,βAlt(V), and scalars a,b.

[F1]

The wedge product is the normalized alternation of the tensor product, equivalently the signed shuffle sum (The wedge product of alternating covectors).

Proof

technique · direct
1.1

By [F1], αβ is obtained by applying the alternation operator to αβ. Alternation produces an alternating multilinear form, so αβAltk+(V).

F1given
1.2

Both tensor product and alternation are linear in each argument, so [F1] gives (aα+bα)β=a(αβ)+b(αβ), and similarly in the second slot.

F1givenalgebra
2.1

Therefore the wedge product is alternating and bilinear.

step 1.1step 1.2
TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

The wedge product is associative and graded commutative

Statement

For alternating covectors αAltk(V), βAlt(V), and γAltm(V),

(αβ)γ=α(βγ)

and

αβ=(1)kβα.

Facts & Assumptions

Given: Alternating covectors α,β,γ of degrees k,,m.

[F1]

The wedge product is the normalized alternation of the tensor product, equivalently the signed shuffle sum (The wedge product of alternating covectors).

[L1]

The wedge product is alternating and bilinear (The wedge product is alternating and bilinear).

Proof

technique · direct
1.1

Using [F1] twice and bilinearity from [L1], both (αβ)γ and α(βγ) are the full alternation of the multilinear tensor αβγ with the same normalization factor. Hence they are equal.

F1L1givenalgebra
1.2

In the shuffle formula of [F1], swapping the k inputs destined for α with the inputs destined for β contributes the sign of the block permutation, namely (1)k. Therefore every term of αβ matches the corresponding term of (1)kβα.

F1givenalgebra
2.1

Therefore the wedge product is associative and graded commutative.

step 1.1step 1.2
DefinitionDefinition: Literature-sourcedProof: Not applicableaudited 2026-09-01Open item page →

The exterior algebra of covectors

Definition

Let V be finite-dimensional. Its exterior algebra of covectors is the graded vector space

V:=k=0dimVAltk(V)

equipped with the wedge product of The wedge product of alternating covectors.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

Wedge monomials in a dual basis form a basis

Statement

Let e1,,en be a basis of V, with dual basis e1,,en. Then the wedges

ei1eik(1i1<<ikn)

form a basis of Altk(V).

Facts & Assumptions

Given: A basis e1,,en of V and its dual basis e1,,en.

[F1]

The degree-k part of the exterior algebra is Altk(V), with wedge product given by alternating tensor multiplication (The exterior algebra of covectors).

[L1]

Every covector expands in the dual basis, and ei(ej)=δji (The dual family (b)bB associated to a Hamel basis B, defined by b(c)=δbc).

Proof

technique · direct
1.1

Let ωAltk(V). Expanding each input vector in the basis and using multilinearity shows that ω is determined by its values on basis k-tuples. Because ω is alternating, every tuple with a repeated index vanishes and every tuple with distinct indices reduces, up to sign, to one with increasing indices. Thus ω is a linear combination of the displayed wedges from [F1].

F1L1givenalgebra
2.1

Suppose IcIeI=0, where I=(i1<<ik) and eI:=ei1eik. Evaluating at (ej1,,ejk) with j1<<jk, [L1] gives eI(ej1,,ejk)=1 when I=(j1,,jk) and 0 otherwise. Hence every cI=0.

L1step 1.1algebra
3.1

Therefore the displayed wedges form a basis of Altk(V).

step 1.1step 2.1
CorollaryStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

Dimension of the kth exterior power is binomial

Statement

If V is a finite-dimensional real vector space with dimV=n and kN, then

dimAltk(V)=(nk).

In particular, Altk(V)=0 for k>n.

Facts & Assumptions

Given: A finite-dimensional real vector space V with dimV=n and kN.

[L1]

The wedges ei1eik with i1<<ik form a basis of Altk(V) (Wedge monomials in a dual basis form a basis).

[F1]

The binomial coefficient (nk) counts the k-element subsets of an n-element set (The set [A]k of k-element subsets and the binomial coefficient (nk):=[n]k).

Proof

technique · direct
1.1

Choose a basis e1,,en of V. By [L1], Altk(V) has one basis vector for each strictly increasing k-tuple (i1,,ik) from {1,,n}.

L1givenchoose
2.1

Such tuples are the same thing as k-element subsets of an n-element set, so [F1] counts them by (nk). Therefore dimAltk(V)=(nk). If k>n, there are no such tuples, so the basis is empty and Altk(V)=0.

F1step 1.1algebra
3.1

This is exactly the claimed dimension formula and vanishing statement.

step 2.1
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-01Open item page →

The finite-dimensional exterior power of vectors

Definition

Let V be a finite-dimensional real vector space and let k0. The kth exterior power of V is the dual vector space

kV:=Altk(V).

For v1,,vkV, the decomposable k-vector v1vkkV is the functional

ωω(v1,,vk).
TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

Universal property of the finite-dimensional exterior power

Statement

Let A:VkW be an alternating k-linear map into a real vector space W. Then there is a unique linear map

A~:kVW

such that

A~(v1vk)=A(v1,,vk)

for all v1,,vkV.

Facts & Assumptions

Given: An alternating k-linear map A:VkW.

[F1]

The kth exterior power is the dual space kV=Altk(V), and v1vk is the evaluation functional ωω(v1,,vk) (The finite-dimensional exterior power of vectors).

[L1]

The wedges of a basis form a basis of Altk(V), so the corresponding decomposable k-vectors span kV by duality (Wedge monomials in a dual basis form a basis).

Proof

technique · direct
1.1

Choose a basis e1,,en of V. Define A~ on the spanning set of decomposable wedges by A~(ei1eik):=A(ei1,,eik) for i1<<ik, and extend linearly. This is possible because [L1] gives a basis indexed by those increasing tuples.

L1givenchooseconstruct
2.1

For arbitrary v1,,vk, expand each vj in the chosen basis. Multilinearity of A and of the wedge, together with alternation on both sides, reduce both expressions to the same signed sum over increasing k-tuples. Hence A~(v1vk)=A(v1,,vk).

F1step 1.1algebra
3.1

If L:kVW is another linear map with the same property, then L and A~ agree on every decomposable basis wedge, hence on all of kV by linearity and [L1]. So A~ is unique.

L1step 2.1
4.1

Therefore every alternating k-linear map factors uniquely through kV.

step 1.1step 2.1step 3.1
PropositionStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

Functoriality of finite-dimensional exterior powers

Statement

Let V,W,X be finite-dimensional real vector spaces and let k0. Every linear map A:VW induces a linear map

kA:kVkW

characterized by

(kA)(v1vk)=Av1Avk.

Moreover,

k(idV)=idkV,k(BA)=(kB)(kA).

Facts & Assumptions

Given: Finite-dimensional real vector spaces V,W,X, an integer k0, and linear maps A:VW and B:WX.

[L1]

Every alternating k-linear map factors uniquely through kV (Universal property of the finite-dimensional exterior power).

Proof

technique · direct
1.1

The map (v1,,vk)Av1Avk is alternating and k-linear in v1,,vk. By [L1], it therefore factors uniquely through a linear map kA:kVkW with the stated action on decomposable wedges.

L1givenconstruct
2.1

The identity map and the composite (kB)(kA) have the expected values on every decomposable wedge: k(idV)(v1vk)=v1vk, and ((kB)(kA))(v1vk)=BAv1BAvk. The same formula holds for k(BA).

step 1.1givenalgebra
3.1

By uniqueness in [L1], the maps in step 2.1 must agree. Therefore exterior powers preserve identities and composition.

L1step 2.1
4.1

Hence VkV and AkA define a functor.

step 1.1step 3.1
PropositionStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

Exterior-power duality pairing

Statement

The canonical pairing

ω,v1vk:=ω(v1,,vk)

extends to a nondegenerate bilinear pairing

kV×kVR,

and for decomposable elements one has

α1αk, v1vk=det(αi(vj)).

Facts & Assumptions

Given: Covectors α1,,αk and vectors v1,,vk in a finite-dimensional real vector space V.

[F1]

A decomposable k-vector is the functional ωω(v1,,vk) on alternating k-covectors (The finite-dimensional exterior power of vectors).

[F2]

The wedge product is the signed shuffle sum on alternating covectors (The wedge product of alternating covectors).

[L1]

Wedges of a basis and of its dual basis give dual coordinate systems on exterior powers (Wedge monomials in a dual basis form a basis).

Proof

technique · direct
1.1

By [F2], (α1αk)(v1,,vk) is the alternating sum over permutations of iαi(vσ(i)), which is exactly the determinant of the matrix (αi(vj)). By [F1], this is the value of the pairing on the displayed decomposable elements.

F1F2givenalgebra
2.1

Choose a basis e1,,en of V with dual basis e1,,en. By [L1], the wedges eI form a basis of kV and the wedges eI form a basis of kV, and step 1.1 shows eI,eJ=δIJ. Therefore the pairing matrix in these bases is the identity, so the pairing is nondegenerate.

L1step 1.1choosealgebra
3.1

Thus the canonical exterior-power pairing is bilinear, has the determinant formula on decomposables, and is nondegenerate.

step 1.1step 2.1
PropositionStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

The top exterior power is one-dimensional

Statement

If V is a finite-dimensional real vector space with dimV=n, then nV and nV are one-dimensional.

Facts & Assumptions

Given: A finite-dimensional real vector space V with dimV=n.

[L1]

The dimension formula gives dimAltn(V)=(nn)=1 (Dimension of the kth exterior power is binomial).

[L2]

The pairing between nV and nV is nondegenerate (Exterior-power duality pairing).

Proof

technique · direct
1.1

By [L1], the space nV=Altn(V) is one-dimensional.

L1given
2.1

Since nV is the dual of nV by definition, or equivalently because [L2] identifies it with the dual through a nondegenerate pairing, it has the same dimension. Hence dimnV=1.

L2step 1.1algebra
3.1

Therefore both top exterior powers are one-dimensional.

step 1.1step 2.1
DefinitionDefinition: Literature-sourcedProof: Not applicableaudited 2026-09-01Open item page →

Interior product on alternating covectors

Definition

Let V be a finite-dimensional real vector space, let vV, and let ωAltk(V) with k1. The interior product ιvωAltk1(V) is defined by

(ιvω)(v2,,vk):=ω(v,v2,,vk).

For k=0, adopt the formal convention Alt1(V):={0} and set ιvω:=0.

PropositionStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

Interior product is a graded antiderivation

Statement

If αAltk(V), βAlt(V), and vV, then

ιv(αβ)=ιvαβ+(1)kαιvβ.

Facts & Assumptions

Given: Alternating covectors α,β of degrees k, and a vector vV.

[F1]

Interior product inserts v into the first slot (Interior product on alternating covectors).

[F2]

The wedge product is the signed shuffle sum (The wedge product of alternating covectors).

Proof

technique · direct
1.1

Evaluate both sides on (v2,,vk+). By [F2], the terms in (αβ)(v,v2,,vk+) split into two groups: those where v lands among the k arguments sent to α, and those where it lands among the arguments sent to β.

F2given
2.1

The first group is exactly (ιvα)β by [F1]. To move v into the first slot of β in the second group, it must cross the k slots occupied by α, which contributes the sign (1)k; that group is therefore (1)kαιvβ.

F1F2step 1.1algebra
3.1

Summing the two groups gives the claimed formula, so interior product is a graded antiderivation.

step 2.1
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-01Open item page →

The type (r,s) tensor bundle

Definition

Let M be a smooth manifold, and let r,s0. The type (r,s) tensor bundle of M is the fibrewise assignment

TsrM:=pMMult((TpM)r×(TpM)s,R),

that is, the fibre over p consists of the type (r,s) tensors on TpM in the multilinear-map sense. The next theorem equips this disjoint union with its smooth vector-bundle structure.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

Tensor transition laws define a smooth vector bundle

Statement

For every smooth manifold M and integers r,s0, the tensor-coordinate change rules define a smooth vector bundle whose fibre over p is the space of type (r,s) tensors on TpM.

Facts & Assumptions

Given: A smooth manifold M with overlapping charts (U,x) and (V,y).

[F1]

The fibre of TsrM at p is the space of type (r,s) tensors on TpM (The type (r,s) tensor bundle).

[L1]

Tangent bases transform by the Jacobian, and cotangent bases transform by the inverse transpose Jacobian (Change-of-coordinate formula for tangent bases, Cotangent coordinate changes use the inverse transpose Jacobian).

[L2]

A smooth cocycle of fibrewise linear transition maps defines a smooth vector bundle (Construction of a vector bundle from a smooth cocycle).

Proof

technique · direct
1.1

On a chart domain U, the coordinate bases /xi and [F1, given, construct] dxi identify each fibre in [F1] with the fixed finite-dimensional vector space Mult(((Rm))r×(Rm)s,R) of type (r,s) tensors on Rm. This gives local trivializations TsrMUU×Mult(((Rm))r×(Rm)s,R).

F1givenconstruct
2.1

On an overlap, [L1] shows that each contravariant slot picks up one inverse [L1, step 1.1, algebra] Jacobian factor and each covariant slot picks up one Jacobian factor. Hence the tensor-coordinate change map is fibrewise linear, smooth in the base point, and satisfies the cocycle law because Jacobians and inverse Jacobians do.

L1step 1.1algebra
3.1

Therefore [L2] applies to these local transition maps and produces a smooth [F1, L2, step 2.1] vector bundle. By construction its fibre over p is the tensor space from [F1].

F1L2step 2.1
4.1

Thus the tensor transition laws define the smooth tensor bundle TsrM. [step 3.1]

step 3.1
DefinitionDefinition: Literature-sourcedProof: Not applicableaudited 2026-09-01Open item page →

A smooth tensor field

Definition

Let M be a smooth manifold. A smooth tensor field of type (r,s) on M is a smooth section of the tensor bundle TsrMM.

PropositionStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

Smoothness of a tensor field is equivalent to smooth coordinate components

Statement

A type (r,s) tensor field is smooth if and only if, in every smooth chart, its coordinate component functions are smooth.

Facts & Assumptions

Given: A type (r,s) tensor field T on a smooth manifold M.

[F1]

A smooth tensor field is a smooth section of the tensor bundle (A smooth tensor field).

[L1]

The tensor bundle is a smooth vector bundle with the standard tensor-coordinate trivializations (Tensor transition laws define a smooth vector bundle).

[L2]

Smoothness of a section is equivalent to smoothness of its local component functions (Smoothness of a section is equivalent to smooth local components).

Proof

technique · direct
1.1

By [F1] and [L1], a tensor field is a section of a smooth vector bundle whose local bundle coordinates are exactly the tensor coefficients relative to the chart bases /xi and dxi.

F1L1given
2.1

Applying [L2] to those trivializations shows that the section is smooth exactly when each local coefficient function is smooth.

L1L2step 1.1
3.1

Therefore smoothness of a tensor field is equivalent to smoothness of its coordinate components.

step 2.1
PropositionStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

Tensor products and contractions of smooth tensor fields are smooth

Statement

The tensor product of smooth tensor fields is smooth. If a smooth mixed tensor field has at least one contravariant and one covariant slot, then contracting its first contravariant slot against its first covariant slot is smooth.

Facts & Assumptions

Given: Smooth tensor fields S and T, and a smooth mixed tensor field R with at least one covariant and one contravariant slot.

[L1]

Tensor-field smoothness is equivalent to smoothness of the local coefficient functions (Smoothness of a tensor field is equivalent to smooth coordinate components).

Proof

technique · direct
1.1

In any chart, [L1] identifies S, T, and R with families of smooth coefficient functions. By [L2], the coefficients of ST are finite sums of products of the coefficients of S and T. Those are smooth.

L1L2givenalgebra
1.2

In the same chart, [L2] writes each contracted coefficient of R as a finite sum of coordinate coefficients of R. Because the contraction formula is basis-independent, these chartwise definitions glue. The resulting coefficient functions are smooth by [L1].

L1L2givenalgebra
2.1

Therefore tensor products and the contraction defined above preserve smoothness.

step 1.1step 1.2
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-01Open item page →

The pullback of a covariant tensor field

Definition

Let F:MN be smooth, and let T be a covariant k-tensor field on N. Its pullback FT is the covariant k-tensor field on M defined by

(FT)p(v1,,vk):=TF(p)(dFpv1,,dFpvk).
PropositionStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

Pullback of covariant tensors is smooth and functorial

Statement

If F:MN is smooth and T is a smooth covariant tensor field on N, then FT is a smooth covariant tensor field on M. Moreover,

(idM)T=T,(GF)T=F(GT)

for every composable smooth map G.

Facts & Assumptions

Given: Smooth maps F:MN and G:NP, and a smooth covariant tensor field T on the target.

[F1]

Pullback of a covariant tensor field is defined by inserting the differential into every slot (The pullback of a covariant tensor field).

[L1]

Tensor pullback commutes with the corresponding fibrewise linear operations, and tensor products and contractions of smooth tensor fields are smooth (Linear pullback respects tensor products and permutations, Tensor products and contractions of smooth tensor fields are smooth).

[L2]

Differentials satisfy the chain rule (The chain rule for differentials of smooth maps).

Proof

technique · direct
1.1

In local coordinates, [F1] expresses each coefficient of FT as a finite sum of the coefficients of TF multiplied by partial derivatives of F. Those are smooth, so [L1] implies that FT is smooth.

F1L1givenalgebra
1.2

The identity map has identity differential, so [F1] gives (idM)T=T.

F1given
1.3

For v1,,vkTpM, [F1] and [L2] give ((GF)T)p(v1,,vk)=TG(F(p))(dGF(p)dFpv1,,dGF(p)dFpvk), which is exactly (F(GT))p(v1,,vk).

F1L2givenalgebra
2.1

Therefore pullback of covariant tensors is smooth and functorial.

step 1.1step 1.2step 1.3
False statementConstruction: Literature-sourcedVerification: AI-adaptedprecheck passaudited 2026-09-01Open item page →

A general mixed tensor field does not have a pullback by every smooth map

Statement

False claim: for every smooth map F:MN and every vector field Y on N, there is a vector field X on M satisfying

dFp(Xp)=YF(p)(pM).

Such an X would be the natural candidate for a pullback of Y along F.

Facts & Assumptions

Given: The smooth map F:RR2, F(t)=(0,0), and the constant vector field Y=/x on R2.

[L1]

Covariant tensor fields do admit functorial pullbacks (Pullback of covariant tensors is smooth and functorial).

Refutation

technique · direct
1.1

The field Y is a type (1,0) tensor field, so the false claim requires a vector field X on R with dFt(Xt)=YF(t) for every t.

given
2.1

The differential of the constant map is zero at every point, so dFt(Xt)=0 for every possible XtTtR, whereas YF(t)0. Thus the required equality is impossible.

givenstep 1.1algebra
3.1

Thus a general mixed tensor field does not have a pullback by every smooth map, even though [L1] shows that purely covariant tensors do.

L1step 2.1
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-01Open item page →

Symmetric and alternating covariant tensor subbundles

Definition

Let M be a smooth manifold. For k0, let Tk0M be the covariant tensor bundle. Its symmetric subbundle and alternating subbundle are the fibrewise subsets

Symk(TM):=pMSymk(TpM),kTM:=pMAltk(TpM),

where the right-hand sides use the fibrewise symmetrization and alternation operators.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

Symmetric and alternating images are smooth subbundles

Statement

For each k0, the symmetric and alternating fibrewise parts of Tk0M form smooth vector subbundles of the covariant tensor bundle.

Facts & Assumptions

Given: A smooth manifold M and an integer k0.

[F1]

The symmetric and alternating parts are defined fibrewise inside the covariant tensor bundle (Symmetric and alternating covariant tensor subbundles).

[L1]

The covariant tensor bundle is a smooth vector bundle, and the fibrewise symmetrization and alternation operators are projections (Tensor transition laws define a smooth vector bundle, Symmetrization and alternation are projections).

[L2]

The image of a constant-rank bundle map over one base is a smooth vector subbundle (Constant-rank kernels and images of bundle maps over one base are subbundles).

Proof

technique · direct
1.1

By [L1], symmetrization and alternation act fibrewise on Tk0M as smooth bundle endomorphisms over idM. Their fibres are the usual linear projections onto the symmetric and alternating tensors.

F1L1given
2.1

Because a projection has constant rank equal to the dimension of its image, the fibre ranks of these bundle maps are constant on M. Therefore [L2] shows that their images are smooth vector subbundles.

L1L2step 1.1algebra
3.1

Those images are exactly the symmetric and alternating bundles from [F1]. Hence both are smooth vector subbundles of Tk0M.

F1step 2.1
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-01Open item page →

The exterior power bundle of the cotangent bundle

Definition

Let M be a smooth manifold and k0. The kth exterior-power bundle of the cotangent bundle is the fibrewise assignment

kTM:=pMAltk(TpM).

The next theorem provides its smooth vector-bundle structure.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

Exterior-power transition laws define a smooth vector bundle

Statement

For every smooth manifold M and k0, the bundle kTMM is a smooth vector bundle.

Facts & Assumptions

Given: A smooth manifold M and an integer k0.

[F1]

The bundle kTM is the fibrewise bundle of alternating k-covectors (The exterior power bundle of the cotangent bundle).

[L1]

The alternating fibrewise part of the covariant tensor bundle is a smooth vector subbundle (Symmetric and alternating images are smooth subbundles).

Proof

technique · direct
1.1

The bundle Tk0M is the covariant k-tensor bundle, and its alternating fibrewise image is the collection of alternating k-covectors at each point.

F1given
2.1

By [L1], that alternating fibrewise image is a smooth vector subbundle of Tk0M. By step 1.1, this subbundle is exactly kTM.

F1L1step 1.1
3.1

Therefore the exterior-power transition laws define a smooth vector bundle.

step 2.1
DefinitionDefinition: Literature-sourcedProof: Not applicableaudited 2026-09-01Open item page →

A smooth differential k-form

Definition

Let M be a smooth manifold and k0. A smooth differential k-form on M is a smooth section of kTMM. The space of such forms is denoted Ωk(M), and Ω0(M)=C(M).

PropositionStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

Local coordinate expression for a differential form

Statement

On a chart (U,x1,,xn), every smooth differential k-form ω has a unique expression

ω=1i1<<iknωi1ikdxi1dxik

with smooth coefficient functions ωi1ik on U.

Facts & Assumptions

Given: A smooth k-form ω on a chart domain U with coordinates x1,,xn.

[F1]

A smooth k-form is a smooth section of kTM (A smooth differential k-form).

[L1]

The coordinate differentials dx1,,dxn form the dual basis of the cotangent fibres, and their increasing wedges form a basis of the alternating k-covectors (Coordinate differentials form the dual cotangent basis, Wedge monomials in a dual basis form a basis).

[L2]

Smoothness of a section is equivalent to smoothness of its local components (Smoothness of a section is equivalent to smooth local components).

Proof

technique · direct
1.1

At each point pU, [L1] gives a basis of kTpM, so ωp has a unique expansion ωp=IωI(p)dxpI over increasing multi-indices I.

F1L1given
2.1

The coefficient functions pωI(p) are exactly the local components of the section ω in the bundle frame from [L1]. Therefore [L2] makes them smooth on U.

L1L2step 1.1
3.1

This gives the unique local coordinate expression for ω.

step 1.1step 2.1
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-01Open item page →

The wedge product of differential forms

Definition

Let αΩk(M) and βΩ(M). Their wedge product is the differential form defined pointwise by

(αβ)p:=αpβpAltk+(TpM).

The next proposition verifies that this pointwise field is smooth.

PropositionStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

Differential forms form a graded commutative algebra

Statement

The graded vector space

Ω(M):=k0Ωk(M)

with the wedge product is an associative graded-commutative algebra.

Facts & Assumptions

Given: Differential forms α,β,γ of homogeneous degrees k,,m.

[F1]

The wedge product of forms is defined pointwise from the wedge product of alternating covectors (The wedge product of differential forms).

[L1]

The fibrewise wedge product is associative and graded commutative (The wedge product is associative and graded commutative).

[L2]

Tensor-field smoothness can be checked on coordinate components (Smoothness of a tensor field is equivalent to smooth coordinate components).

Proof

technique · direct
1.1

At each point pM, [F1] and [L1] give ((αβ)γ)p=αp(βpγp) and (αβ)p=(1)k(βα)p.

F1L1given
1.2

The local coefficient functions of αβ are polynomial expressions in the local coefficients of α and β, so [L2] shows that wedge products remain smooth.

F1L2givenalgebra
2.1

Therefore Ω(M) is closed under wedge and inherits associativity and graded commutativity pointwise from [L1].

step 1.1step 1.2
DefinitionDefinition: Literature-sourcedProof: Not applicableaudited 2026-09-01Open item page →

Interior product of a form by a vector field

Definition

Let X:MTM be a smooth section of the tangent bundle, that is, a smooth vector field on M, and let ωΩk(M). The interior product ιXωΩk1(M) is defined pointwise by

(ιXω)p:=ιXpωp.

For k=0, adopt the formal convention Ω1(M):={0} and set ιXω:=0.

This pointwise field is smooth. Indeed, in local coordinates write X=jXjj and expand ω in the smooth frame dxI as in Local coordinate expression for a differential form. The coefficients of ιXω are signed finite sums of products XjωI, and are therefore smooth.

PropositionStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

Interior product on forms is a graded antiderivation

Statement

If X is a smooth vector field and αΩk(M), βΩ(M), then

ιX(αβ)=ιXαβ+(1)kαιXβ.

Facts & Assumptions

Given: A smooth vector field X and forms α,β of degrees k,.

[F1]

Interior product of a form is defined pointwise from the fibrewise interior product (Interior product of a form by a vector field).

[L1]

Fibrewise interior product is a graded antiderivation (Interior product is a graded antiderivation).

Proof

technique · direct
1.1

At each point pM, [F1] identifies (ιX(αβ))p with ιXp(αpβp).

F1given
2.1

Applying [L1] in the vector space TpM gives ιXp(αpβp)=ιXpαpβp+(1)kαpιXpβp. Using [F1] again identifies this with the fibre at p of the claimed form identity.

F1L1step 1.1
3.1

Since the two forms agree at every point, the displayed identity holds on M.

step 2.1
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-01Open item page →

The pullback of a differential form

Definition

Let F:MN be smooth, and let ωΩk(N). The pullback Fω is the pullback of ω viewed as an alternating covariant k-tensor field:

(Fω)p(v1,,vk)=ωF(p)(dFpv1,,dFpvk).
PropositionStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

Pullback of forms is smooth functorial and preserves wedges

Statement

For a smooth map F:MN, pullback sends smooth differential forms on N to smooth differential forms on M, is functorial, and satisfies

F(αβ)=FαFβ.

Facts & Assumptions

Given: A smooth map F:MN, a smooth map G:NP, and forms α,β on the target.

[F1]

A form pullback is the covariant tensor pullback restricted to alternating tensors (The pullback of a differential form).

[L1]

Covariant tensor pullback is smooth and functorial (Pullback of covariant tensors is smooth and functorial).

[L2]

Fibrewise linear pullback respects tensor products and permutations, hence wedge products (Linear pullback respects tensor products and permutations).

Proof

technique · direct
1.1

By [F1], Fα is obtained from the covariant tensor pullback. Because [L1] sends smooth covariant tensors to smooth covariant tensors and preserves composition, the same is true for forms.

F1L1given
1.2

At each point pM, [F1] and [L2] give (F(αβ))p=dFp(αF(p)βF(p))=dFp(αF(p))dFp(βF(p)), which is exactly (FαFβ)p.

F1L2givenalgebra
2.1

The identity and composition laws are inherited from [L1], and step 1.2 gives wedge preservation. Therefore pullback of forms is smooth, functorial, and wedge-preserving.

L1step 1.2
PropositionStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01Open item page →

A diffeomorphism pulls back tensor fields and forms isomorphically

Statement

If F:MN is a diffeomorphism, then pullback by F is an isomorphism on covariant tensor fields and on differential forms. Its inverse is pullback by F1.

Facts & Assumptions

Given: A diffeomorphism F:MN with inverse F1.

[F1]

A diffeomorphism has a smooth inverse (Diffeomorphisms and local diffeomorphisms of manifolds).

Proof

technique · direct
1.1

By [F1], both F and F1 are smooth, so [L1] gives pullback maps in both directions on covariant tensor fields and on forms.

F1L1given
2.1

Functoriality from [L1] yields (F1)F=(FF1)=id,F(F1)=((F1)F)=id. The identity pullback is the identity map by the same functoriality statements.

L1step 1.1algebra
3.1

Hence F is an isomorphism with inverse (F1) on covariant tensor fields and on differential forms.

step 2.1
False statementConstruction: Literature-sourcedVerification: AI-adaptedprecheck passaudited 2026-09-01Open item page →

The wedge product is not commutative

Statement

False claim: the wedge product is commutative.

Facts & Assumptions

Given: The standard coordinate 1-forms dx,dy on R2.

[L1]

The wedge product is graded commutative, so for 1-forms η,θ one has ηθ=θη (The wedge product is associative and graded commutative).

Refutation

technique · direct
1.1

Evaluating on (x,y) gives (dxdy)(x,y)=1, so dxdy0.

givenalgebra
2.1

By [L1], dydx=dxdy. Since step 1.1 shows dxdy is nonzero, it follows that dydxdxdy.

L1step 1.1
3.1

Therefore the wedge product is not commutative.

step 2.1
False statementConstruction: Literature-sourcedVerification: AI-adaptedprecheck passaudited 2026-09-01Open item page →

A nonzero one-form need not have a nonzero square under the wedge product

Statement

False claim: every nonzero 1-form has nonzero wedge square.

Facts & Assumptions

Given: A nonzero 1-form α.

[L1]

The wedge product is graded commutative (The wedge product is associative and graded commutative).

Refutation

technique · direct
1.1

Since α has degree 1, [L1] gives αα=αα.

L1given
2.1

Over R this implies 2(αα)=0, hence αα=0. So even a nonzero 1-form has zero square.

step 1.1algebra
3.1

Therefore the claim is false.

step 2.1
False statementConstruction: Literature-sourcedVerification: AI-adaptedprecheck passaudited 2026-09-01Open item page →

A k-form on an n-manifold must vanish when k>n

Statement

False claim: on an n-manifold, a k-form can be nonzero even when k>n.

Facts & Assumptions

Given: An n-manifold M and an integer k>n.

[L1]

If dimV=n and k>n, then Altk(V)=0 (Dimension of the kth exterior power is binomial).

[L2]

The bundle kTM has fibre Altk(TpM) at each point (Exterior-power transition laws define a smooth vector bundle).

Refutation

technique · direct
1.1

For each pM, the tangent space TpM has dimension n. Hence [L1] gives Altk(TpM)=0.

L1given
2.1

By [L2], every fibre of kTM is zero. Therefore every section of that bundle is the zero form.

L2step 1.1
3.1

So no nonzero k-form exists when k>n, and the claim is false.

step 2.1
False statementConstruction: Literature-sourcedVerification: AI-adaptedprecheck passaudited 2026-09-01Open item page →

Tensor components do not transform as independent scalar functions

Statement

False claim: tensor coordinate components transform as if each were an independent scalar function.

Facts & Assumptions

Given: The Euclidean metric g=dxdx+dydy on R2 and the polar chart (r,θ)(rcosθ,rsinθ) on {r>0}.

[L1]

Tensor-coordinate changes involve Jacobian factors on each slot (Tensor transition laws define a smooth vector bundle).

Refutation

technique · direct
1.1

In Cartesian coordinates, the coefficient matrix of g is (1001).

given
2.1

In polar coordinates, dx=cosθdrrsinθdθ and dy=sinθdr+rcosθdθ, so g=drdr+r2dθdθ. Thus the coefficient matrix becomes (100r2), not the unchanged scalar pair from step 1.1. This is exactly the Jacobian action described in [L1].

L1step 1.1algebra
3.1

Therefore tensor components do not transform as independent scalar functions.

step 2.1
False statementConstruction: Literature-sourcedVerification: AI-adaptedprecheck passaudited 2026-09-01Open item page →

A tensor is not determined by its values on diagonal tuples without symmetry

Statement

False claim: a tensor is determined by its values on diagonal tuples (v,,v) without any symmetry hypothesis.

Facts & Assumptions

Given: On V=R2, the bilinear forms B1(x,y)=x1y2 and B2(x,y)=x2y1.

[F1]

Bilinear forms are type (0,2) tensors (A type (r,s) tensor on a finite-dimensional vector space).

Refutation

technique · direct
1.1

By [F1], both B1 and B2 are tensors of the same type. They are distinct because B1(e1,e2)=1 while B2(e1,e2)=0.

F1given
1.2

For every v=(a,b)R2, one has B1(v,v)=ab=B2(v,v). Thus the two tensors agree on every diagonal pair (v,v).

givenalgebra
2.1

Therefore diagonal values alone do not determine a general tensor.

step 1.1step 1.2

5 · Examples, counterexamples and false statements

None yet.

Sources