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12 results · all verified · 0 also independently AI-judged
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Tensor Fields Exterior Algebra and Differential Forms — Examples

1 · Prerequisites

2 · Summary

These examples turn the abstract tensor and form operations into coordinate computations, and they isolate the exact places where sign, degree, and functoriality matter.

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-09-01Open item page →

Tensor product and contraction in a basis

Example

On V=R2 with basis (e1,e2) and dual basis (e1,e2), let

S=e1,T=e2,R=e1e1+e2e2.

Then

ST=e1e2,ctr(R)=2.

Facts & Assumptions

Given: The basis (e1,e2), its dual basis (e1,e2), and the tensors S,T,R above.

[L1]

Tensor product multiplies the factor values on concatenated arguments, and contraction is basis-independent (Tensor product of multilinear tensors is associative and bilinear, Contraction is independent of the basis formula).

Verification

technique · direct
1.1

For vectors (a1,a2) and (b1,b2), [L1] gives (ST)((a1,a2),(b1,b2))=S(a1,a2)T(b1,b2)=a1b2, so ST=e1e2.

L1givenalgebra
1.2

Again by [L1], ctr(R)=R(e1,e1)+R(e2,e2)=1+1=2.

L1givenalgebra
2.1

This computes the announced tensor product and contraction.

step 1.1step 1.2
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-09-01Open item page →

A bilinear form as a type (0,2) tensor

Example

On R2, the dot product

g((a,b),(c,d)):=ac+bd

is a type (0,2) tensor.

Facts & Assumptions

Given: The bilinear form g on R2 defined above.

[F1]

A type (0,2) tensor is a bilinear map V×VR (A type (r,s) tensor on a finite-dimensional vector space).

Verification

technique · direct
1.1

The displayed formula is linear in (a,b) and in (c,d) separately, so g is bilinear.

givenalgebra
2.1

By [F1], bilinearity is exactly the requirement for a type (0,2) tensor. Hence g is such a tensor.

F1step 1.1
3.1

Therefore the Euclidean dot product is a concrete type (0,2) tensor.

step 2.1
ExampleConstruction: AI-adaptedVerification: AI-generatedprecheck passaudited 2026-09-01Open item page →

An endomorphism as a type (1,1) tensor

Example

Let A:R2R2 be the linear map

A(x,y)=(x+2y,3xy).

Then

T(α,v):=α(Av)

defines a type (1,1) tensor on R2.

Facts & Assumptions

Given: The endomorphism A and the function T(α,v)=α(Av).

[F1]

A type (1,1) tensor is bilinear on V×V (A type (r,s) tensor on a finite-dimensional vector space).

Verification

technique · direct
1.1

For fixed v, the map αα(Av) is linear because evaluation of a fixed vector is linear on V. For fixed α, the map vα(Av) is linear because A and α are linear. Thus T is bilinear on (R2)×R2.

givenalgebra
2.1

By [F1], this means T is a type (1,1) tensor.

F1step 1.1
3.1

Therefore an endomorphism gives a concrete type (1,1) tensor through evaluation.

step 2.1
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-09-01Open item page →

The identity endomorphism and its coordinate-independent trace

Example

For the identity endomorphism idRn, the associated type (1,1) tensor has contraction n, so its trace is n in every basis.

Facts & Assumptions

Given: A basis e1,,en of Rn with dual basis e1,,en, and the identity endomorphism.

[F1]

Contraction is the dual-basis sum iT(ei,ei) (The contraction of a mixed tensor).

[F2]

Trace of an endomorphism is the sum of the diagonal entries in any basis (The basis-independent trace of an endomorphism of a finite-dimensional vector space).

Verification

technique · direct
1.1

The tensor associated to idRn is T(α,v)=α(v). Therefore [F1] gives ctr(T)=i=1nei(ei)=n.

F1givenalgebra
2.1

In the chosen basis, the matrix of the identity endomorphism is the identity matrix, so [F2] gives trace n. This agrees with step 1.1, and neither value depends on the basis.

F2step 1.1algebra
3.1

Thus the identity endomorphism has coordinate-independent trace n.

step 2.1
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-09-01Open item page →

Wedge products of the standard dual basis

Example

On R3 with standard dual basis dx,dy,dz,

dxdy=dydx,dxdx=0,dxdydz

is a basis of Alt3(R3).

Facts & Assumptions

Given: The standard basis of R3 and its dual basis dx,dy,dz.

[L1]

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

[L2]

Increasing wedge monomials in a dual basis form a basis of each exterior-power space (Wedge monomials in a dual basis form a basis).

Verification

technique · direct
1.1

Since dx and dy are 1-forms, [L1] gives dxdy=dydx and dxdx=dxdx, hence dxdx=0.

L1givenalgebra
1.2

By [L2], the unique increasing triple wedge dxdydz forms a basis of Alt3(R3).

L2given
2.1

These are the standard wedge-product identities in the dual basis.

step 1.1step 1.2
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-09-01Open item page →

Determinant as the pairing of top exterior powers

Example

On Rn with standard basis e1,,en and dual basis e1,,en, the pairing

e1en, v1vn

is exactly det[v1  vn].

Facts & Assumptions

Given: Vectors v1,,vnRn.

[L1]

The exterior-power pairing on decomposable elements is the determinant of the evaluation matrix (Exterior-power duality pairing).

[L2]

The top exterior power is one-dimensional (The top exterior power is one-dimensional).

Verification

technique · direct
1.1

The matrix with entries ei(vj) is exactly the coordinate matrix [v1  vn] of the ordered n-tuple (v1,,vn).

given
2.1

Applying [L1] to αi=ei gives e1en, v1vn=det(ei(vj))=det[v1  vn].

L1step 1.1algebra
3.1

By [L2], this scalar determines the decomposable top wedge relative to the standard volume form.

L2step 2.1
4.1

Thus the determinant is the top-degree pairing against e1en.

step 2.1step 3.1
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-09-01Open item page →

The Euclidean metric as a symmetric two-tensor

Example

On Rn, the Euclidean metric

g=i=1ndxidxi

is a smooth section of the symmetric subbundle of T20Rn.

Facts & Assumptions

Given: The Euclidean metric g on Rn.

[F1]

The symmetric two-tensors form a fibrewise subbundle of the covariant tensor bundle (Symmetric and alternating covariant tensor subbundles).

[L1]

That fibrewise symmetric part is a smooth vector subbundle (Symmetric and alternating images are smooth subbundles).

Verification

technique · direct
1.1

The coefficients of g in the standard coordinates are constant, so g is smooth.

given
2.1

For vectors u,v, one has g(u,v)=g(v,u), so each fibre value gp is symmetric. Hence [F1] places g in the symmetric fibrewise part, and [L1] identifies that part as a smooth subbundle.

F1L1step 1.1
3.1

Therefore the Euclidean metric is a symmetric smooth two-tensor.

step 2.1
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-09-01Open item page →

The area form in polar coordinates

Example

On the polar chart domain {(r,θ):r>0}, the Euclidean area form pulls back as

F(dxdy)=rdrdθ,

where F(r,θ)=(rcosθ,rsinθ).

Facts & Assumptions

Given: The polar-coordinate map F(r,θ)=(rcosθ,rsinθ).

[F1]

Pullback of a differential form is defined by composing with the differential (The pullback of a differential form).

[L1]

Verification

technique · direct
1.1

By [F1], Fdx=cosθdrrsinθdθ,Fdy=sinθdr+rcosθdθ.

F1givenalgebra
2.1

Using [L1] and bilinearity of the wedge product, F(dxdy)=FdxFdy=(cosθdrrsinθdθ)(sinθdr+rcosθdθ)=rdrdθ.

L1step 1.1algebra
3.1

Thus the area form becomes rdrdθ in polar coordinates.

step 2.1
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-09-01Open item page →

Pullback of the circle angular form along a parametrized curve

Example

Let c:RS1R2 be the parametrized unit circle c(t)=(cost,sint), and let

η=ydx+xdy.

Then

cη=dt.

Facts & Assumptions

Given: The curve c(t)=(cost,sint) and the 1-form η=ydx+xdy.

[F1]

Pullback of a differential form is defined by composing with the differential (The pullback of a differential form).

Verification

technique · direct
1.1

Along the curve, xc=cost, yc=sint, so cx=cost,cy=sint,cdx=sintdt,cdy=costdt.

F1givenalgebra
2.1

Therefore cη=(sint)(sintdt)+(cost)(costdt)=(sin2t+cos2t)dt=dt.

step 1.1algebra
3.1

Thus the angular form pulls back to the standard parameter form on the circle.

step 2.1
CounterexampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-09-01Open item page →

A vector field with no pullback under a noninjective map

Statement refuted

False claim: for every smooth map F:MN and vector field Y on N, there is a vector field X on M satisfying dFp(Xp)=YF(p) for every pM.

Facts & Assumptions

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

[L1]

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

Counterexample

technique · direct
1.1

The map F is noninjective and has differential dFt=0 for every tR.

given
2.1

A vector field X as in the false claim would satisfy dFt(Xt)=YF(t) at each point. Step 1.1 makes that impossible, because dFt(Xt)=0 for every XtTtR, whereas YF(t)0.

givenstep 1.1algebra
3.1

Hence Y has no pullback along F, giving the announced counterexample and agreeing with [L1].

L1step 2.1
CounterexampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-09-01Open item page →

The volume coordinate expression changes sign under a reflection

Statement refuted

False claim: the coordinate expression of a top-degree form is unchanged by a reflection.

Facts & Assumptions

Given: The reflection R:R2R2, R(x,y)=(x,y), and the form ω=dxdy.

[L1]

Counterexample

technique · direct
1.1

The reflection satisfies Rdx=dx and Rdy=d(y)=dy.

givenalgebra
2.1

By [L1], Rω=R(dxdy)=RdxRdy=dx(dy)=dxdy.

L1step 1.1algebra
3.1

Therefore the top-degree form changes sign under the reflection, so the claimed invariance is false.

step 2.1
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-09-01Open item page →

The canonical one-form on a cotangent bundle as a covariant tensor

Example

On TR2 with coordinates (x,y,ξ1,ξ2), the canonical 1-form is

λ=ξ1dx+ξ2dy.

At a point (p,ξ) and a tangent vector v to TR2, it satisfies

λ(p,ξ)(v)=ξ(dπ(v)),

where π:TR2R2 is the bundle projection.

Facts & Assumptions

Given: The cotangent bundle projection π:TR2R2 and a point (x,y,ξ1,ξ2).

[F1]

A differential 1-form is a smooth section of the cotangent bundle (A smooth differential k-form).

[F2]

The cotangent bundle fibre at (x,y) consists of covectors on T(x,y)R2 (Cotangent space and cotangent bundle as a disjoint union).

Verification

technique · direct
1.1

Write v=ax+by+cξ1+dξ2 at (x,y,ξ1,ξ2). Then dπ(v)=ax+by, so the covector ξ=ξ1dx+ξ2dy gives ξ(dπ(v))=ξ1a+ξ2b.

F2givenalgebra
2.1

The form λ=ξ1dx+ξ2dy takes the same value on v, namely λ(v)=ξ1a+ξ2b. Thus λ(p,ξ)(v)=ξ(dπ(v)). Its coefficients are smooth coordinate functions, so [F1] makes it a smooth 1-form.

F1step 1.1algebra
3.1

Therefore the canonical one-form is a concrete covariant tensor on the cotangent bundle.

step 2.1

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