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Tensor Fields Exterior Algebra and Differential Forms — Examples
1 · Prerequisites
- Binary Operations, Monoids, Groups and Subgroups
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Determinants of Matrices over a Commutative Ring
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Hereditary and Productive Behaviour of the Separation Axioms
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Order, Zorn's Lemma, and the Axiom of Choice
- Polynomial Rings, the Division Algorithm and Roots
- Properties of the Integral and the Working FTC
- Rank Theorems and Embedded Submanifolds
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Smooth Manifolds and Smooth Maps
- Smooth Vector Bundles and Sections
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Tangent Cotangent and the Differential
- Tensor Fields Exterior Algebra and Differential Forms
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Fundamental Theorems of Calculus
- The Inverse and Implicit Function Theorems
- The Inverse Function Theorem Completed
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Vector Spaces, Linear Subspaces, Span and Direct Sums
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
Tensor product and contraction in a basis
Example
On with basis and dual basis , let
Then
Facts & Assumptions
Given: The basis , its dual basis , and the tensors above.
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
For vectors and , [L1] gives so .
Again by [L1],
This computes the announced tensor product and contraction.
A bilinear form as a type tensor
Example
On , the dot product
is a type tensor.
Facts & Assumptions
Given: The bilinear form on defined above.
A type tensor is a bilinear map (A type tensor on a finite-dimensional vector space).
Verification
The displayed formula is linear in and in separately, so is bilinear.
By [F1], bilinearity is exactly the requirement for a type tensor. Hence is such a tensor.
Therefore the Euclidean dot product is a concrete type tensor.
An endomorphism as a type tensor
Example
Let be the linear map
Then
defines a type tensor on .
Facts & Assumptions
Given: The endomorphism and the function .
A type tensor is bilinear on (A type tensor on a finite-dimensional vector space).
Verification
For fixed , the map is linear because evaluation of a fixed vector is linear on . For fixed , the map is linear because and are linear. Thus is bilinear on .
By [F1], this means is a type tensor.
Therefore an endomorphism gives a concrete type tensor through evaluation.
The identity endomorphism and its coordinate-independent trace
Example
For the identity endomorphism , the associated type tensor has contraction , so its trace is in every basis.
Facts & Assumptions
Given: A basis of with dual basis , and the identity endomorphism.
Contraction is the dual-basis sum (The contraction of a mixed tensor).
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
The tensor associated to is . Therefore [F1] gives
In the chosen basis, the matrix of the identity endomorphism is the identity matrix, so [F2] gives trace . This agrees with step 1.1, and neither value depends on the basis.
Thus the identity endomorphism has coordinate-independent trace .
Wedge products of the standard dual basis
Example
On with standard dual basis ,
is a basis of .
Facts & Assumptions
Given: The standard basis of and its dual basis .
The wedge product is graded commutative (The wedge product is associative and graded commutative).
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
Since and are -forms, [L1] gives and , hence .
By [L2], the unique increasing triple wedge forms a basis of .
These are the standard wedge-product identities in the dual basis.
Determinant as the pairing of top exterior powers
Example
On with standard basis and dual basis , the pairing
is exactly .
Facts & Assumptions
Given: Vectors .
The exterior-power pairing on decomposable elements is the determinant of the evaluation matrix (Exterior-power duality pairing).
The top exterior power is one-dimensional (The top exterior power is one-dimensional).
Verification
The matrix with entries is exactly the coordinate matrix of the ordered -tuple .
Applying [L1] to gives
By [L2], this scalar determines the decomposable top wedge relative to the standard volume form.
Thus the determinant is the top-degree pairing against .
The Euclidean metric as a symmetric two-tensor
Example
On , the Euclidean metric
is a smooth section of the symmetric subbundle of .
Facts & Assumptions
Given: The Euclidean metric on .
The symmetric two-tensors form a fibrewise subbundle of the covariant tensor bundle (Symmetric and alternating covariant tensor subbundles).
That fibrewise symmetric part is a smooth vector subbundle (Symmetric and alternating images are smooth subbundles).
Verification
The coefficients of in the standard coordinates are constant, so is smooth.
For vectors , one has , so each fibre value is symmetric. Hence [F1] places in the symmetric fibrewise part, and [L1] identifies that part as a smooth subbundle.
Therefore the Euclidean metric is a symmetric smooth two-tensor.
The area form in polar coordinates
Example
On the polar chart domain , the Euclidean area form pulls back as
where .
Facts & Assumptions
Given: The polar-coordinate map .
Pullback of a differential form is defined by composing with the differential (The pullback of a differential form).
Pullback preserves wedge products (Pullback of forms is smooth functorial and preserves wedges).
Verification
By [F1],
Using [L1] and bilinearity of the wedge product,
Thus the area form becomes in polar coordinates.
Pullback of the circle angular form along a parametrized curve
Example
Let be the parametrized unit circle , and let
Then
Facts & Assumptions
Given: The curve and the -form .
Pullback of a differential form is defined by composing with the differential (The pullback of a differential form).
Verification
Along the curve, , , so
Therefore
Thus the angular form pulls back to the standard parameter form on the circle.
A vector field with no pullback under a noninjective map
Statement refuted
False claim: for every smooth map and vector field on , there is a vector field on satisfying for every .
Facts & Assumptions
Given: The constant map , , and the constant vector field on .
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
The map is noninjective and has differential for every .
A vector field as in the false claim would satisfy at each point. Step 1.1 makes that impossible, because for every , whereas .
Hence has no pullback along , giving the announced counterexample and agreeing with [L1].
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 , , and the form .
Pullback preserves wedge products (Pullback of forms is smooth functorial and preserves wedges).
Counterexample
The reflection satisfies and .
By [L1],
Therefore the top-degree form changes sign under the reflection, so the claimed invariance is false.
The canonical one-form on a cotangent bundle as a covariant tensor
Example
On with coordinates , the canonical -form is
At a point and a tangent vector to , it satisfies
where is the bundle projection.
Facts & Assumptions
Given: The cotangent bundle projection and a point .
A differential -form is a smooth section of the cotangent bundle (A smooth differential -form).
The cotangent bundle fibre at consists of covectors on (Cotangent space and cotangent bundle as a disjoint union).
Verification
Write at . Then , so the covector gives .
The form takes the same value on , namely . Thus . Its coefficients are smooth coordinate functions, so [F1] makes it a smooth -form.
Therefore the canonical one-form is a concrete covariant tensor on the cotangent bundle.