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Exterior Powers, Orientation and Hodge Duality: Examples and Counterexamples
1 · Prerequisites
- Binary Operations, Monoids, Groups and Subgroups
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Determinants of Matrices over a Commutative Ring
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Exterior Powers, Orientation and Hodge Duality
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Free Modules, Exact Sequences, Projective and Injective Modules
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Group Homomorphisms and the Isomorphism Theorems
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Modules, Submodules, Quotient Modules and the Isomorphism Theorems
- Normal Subgroups and Quotient Groups
- Order, Zorn's Lemma, and the Axiom of Choice
- Polynomial Rings, the Division Algorithm and Roots
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Roots, Rational Powers, and Classical Inequalities
- Simple Field Extensions and the Construction of the Complex Numbers
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Tensor Products of Modules
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The ZFC Axioms and the Basic Set Constructions
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
These examples list the wedge bases and dimensions of the exterior powers of , , and ; use wedges to detect dependence in coordinates; show that every exterior power of a diagonal operator is diagonal; match a concrete second exterior-power matrix with its signed minors; recover area and volume from Gram determinants; write out the Hodge star in dimensions two, three, and four; recover the cross product from ; and compare the Hodge star across the two orientations of with the metric fixed.
The counterexample and false statements isolate the structure actually needed: a bivector in need not be decomposable; the exterior power is a quotient of the tensor power, not canonically a subspace over every field; an inner product does not determine an orientation and an orientation does not determine an inner product; and the Hodge star genuinely needs both metric and orientation, not just the vector-space structure.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
Bases and dimensions of exterior powers of , , and
Example
In the standard bases, the exterior powers have the following bases and dimensions. For : (basis ), has basis , has basis , and for . For : ; has basis ; has basis ; has basis ; and for . For : ; has basis ; has basis ; has basis ; has basis ; and for .
Facts & Assumptions
Given: The standard bases of , , and .
The increasing-index wedges of an ordered basis form a basis of (Increasing-index wedges of a basis form a basis of ).
(If , then ).
for (If , then ).
Verification
By [L1], the listed families are exactly the increasing-index wedges of the standard bases, so they are bases of the corresponding exterior powers.
By [L2], the dimensions are the binomial counts: for ; for ; and for , matching the sizes of the listed families.
By [L3], every degree above the top vanishes, so no further nonzero pieces appear.
Steps 1.1, 1.2 and 1.3 verify all displayed bases, dimensions, and vanishing statements.
A wedge product detects linear dependence in concrete coordinates
Example
In , four samples pair the zero/nonzero behaviour of the wedge with dependence/independence. Dependent pairs give the zero wedge: , and for , one has because . Independent pairs give a nonzero wedge: , and for , one has .
Facts & Assumptions
Given: The standard basis of and the four displayed pairs.
A decomposable wedge is nonzero exactly when its vectors are linearly independent (In a finite-dimensional vector space, a decomposable wedge is nonzero exactly when its vectors are linearly independent).
Verification
The pair is dependent and its wedge is , the zero case of [L1].
The pair is independent and its wedge is a basis vector of , hence nonzero, the nonzero case of [L1].
For and , the relation gives , matching the dependence.
For and , one has , which step 1.2 shows is nonzero, matching the independence.
In all four samples the wedge is zero exactly for the dependent pairs, in agreement with [L1].
All exterior powers of a diagonal operator are diagonal
Example
Let be diagonal with diagonal entries . Then for every , the map is diagonal in the increasing wedge basis: for a -subset ,
For instance, if on , then is in the basis .
Facts & Assumptions
Given: A diagonal operator with diagonal entries and a -subset .
Exterior powers preserve the induced maps on the wedge basis (Exterior powers are functorial).
In the wedge bases, the matrix of has entries , the signed -minors of the matrix of (In basis-wedge coordinates, the matrix of is the signed matrix of -minors).
Verification
The matrix of in the standard basis is diagonal.
By [L2], the entry of at is the determinant of the submatrix with rows and columns ; for the diagonal matrix of step 1.1 this is when and when .
By [L1], the values of on the wedge basis determine the whole map, so and the map is diagonal with the displayed entries; the case reads on .
Steps 2.1 and 3.1 verify the diagonal form of every exterior power and the concrete example.
A concrete second exterior-power matrix matches the signed minors
Example
Let have matrix
In the wedge basis of , the matrix of is
whose entry in row and column is exactly the signed minor of with rows and columns .
Facts & Assumptions
Given: The operator with the displayed matrix and the wedge basis of .
In the wedge bases, the matrix of has entries , where is the submatrix with rows and columns (In basis-wedge coordinates, the matrix of is the signed matrix of -minors).
Verification
Direct computation of the images of the three basis wedges gives , , and , so the columns of the matrix are , , .
By [L1], the expected entries are the nine minors: , , , , , , , , .
The nine coordinates of step 1.1 coincide entry by entry with the nine minors of step 1.2, so the displayed matrix equals the signed minor matrix.
Oriented area and volume are recovered from wedges and Gram determinants
Example
In with the standard inner product, the parallelogram spanned by and has Gram matrix , whose determinant is , so its area is . In , the parallelotope spanned by , , has Gram matrix , whose determinant is , so its volume is .
Facts & Assumptions
Given: The standard inner products on and and the displayed vectors.
The Gram formula gives on the exterior power (The Gram formula gives a well-defined positive-definite inner product on exterior powers, and is the Gram determinant).
The oriented unit area/volume form has norm in the Gram pairing, so the norm of a pure wedge is the unoriented area or volume of the spanned parallelepiped (The oriented unit volume form).
Verification
By [L1], , so the parallelogram area is .
By [L1], , so the parallelotope volume is .
By [L2], the unit volume forms have norm , so the norms computed in steps 1.1 and 1.2 are precisely the unoriented area and volume; the orientation data would only attach a sign, not a size.
Steps 1.1, 1.2 and 2.1 recover area and volume from wedges and Gram determinants.
The Hodge star in dimensions two, three, and four
Example
With the standard orientation and inner product on each space: in , , , , . In , , , , , , , , and . In , , , , , , , , , and .
Facts & Assumptions
Given: The standard oriented orthonormal bases of , , and .
In a positively oriented orthonormal basis, , where is the sign of the permutation listing followed by its complement (The Hodge star exists uniquely and is given by the complementary-basis formula in an oriented orthonormal basis).
is an isometry and satisfies on of an -dimensional space (The Hodge star is an isometry and satisfies on ).
Verification
In , the complementary basis and permutation signs of [L1] give , , , and .
In , the same formula gives the displayed list: for example because the permutation has sign , and because is already ordered.
In , the formula gives the displayed values, e.g. because has sign , and because has sign .
Square checks with [L2]: in , ; in , ; in , .
In each dimension, permutes the orthonormal wedge basis up to sign, so it preserves the Gram norm, as [L2] states.
Steps 1.1 through 2.2 verify the displayed stars, the square signs, and the isometry in all three dimensions.
The cross product is recovered from in
Example
For and in oriented Euclidean ,
and applying the Hodge star gives , that is , which is exactly the coordinate cross product .
Facts & Assumptions
Given: The vectors , and the standard oriented orthonormal basis of .
In oriented Euclidean three-space, the cross product is (In oriented Euclidean three-space, the cross product is ).
Verification
Expanding the wedge gives .
The coordinate cross product is .
Applying the star to step 1.1, with , , , gives .
Steps 2.1 and 1.2 produce the same vector, in agreement with the identity of [L1].
Reversing orientation negates the Hodge star while keeping the metric fixed
Example
Fix the standard inner product on and compare the two orientations: the standard one, represented by the ordered basis , and the reversed one, represented by . For the standard orientation the Hodge star satisfies ; for the reversed orientation the unit volume form is , and the Hodge star satisfies . The metric is the same in both computations; only the orientation changed, and the star changed sign.
Facts & Assumptions
Given: The standard inner product on and the two ordered bases and .
Two ordered bases lie in the same orientation class exactly when their change-of-basis isomorphism has positive determinant (A real linear isomorphism preserves or reverses orientation according to the sign of its determinant).
The Hodge star is characterized by with the unit volume form , and in a positively oriented orthonormal basis (The Hodge star exists uniquely and is given by the complementary-basis formula in an oriented orthonormal basis).
The Hodge star is an isometry for the Gram pairing (The Hodge star is an isometry and satisfies on ).
The oriented unit volume form is for a positively oriented orthonormal basis (The oriented unit volume form).
Verification
The change of basis from to is a transposition with determinant , so by [L1] the two bases represent the two opposite orientation classes.
By [L4], the unit volume forms are and .
By the characterizing relation of [L2] and its uniqueness clause, for all , so on every degree.
In particular by [L2], and step 2.1 gives ; the metric used in both computations is the same standard inner product, and [L3] records that each star is an isometry for it.
Steps 1.1 through 3.1 show that reversing the orientation negates the Hodge star while the metric stays fixed.
A bivector in need not be decomposable
Statement refuted
Every bivector is decomposable, that is, of the form .
Facts & Assumptions
Given: The standard basis of and the bivector .
The wedge is a basis element of , hence nonzero, for independent vectors (In a finite-dimensional vector space, a decomposable wedge is nonzero exactly when its vectors are linearly independent).
The wedge product is associative and satisfies for vectors (Exterior multiplication is well defined, graded, associative, unital, and graded-commutative).
Counterexample
If were decomposable, then by [L2], .
For the displayed , compute , which is the nonzero basis vector of by [L1].
Steps 1.1 and 1.2 contradict each other, so the bivector is not decomposable.
FALSE: is canonically a subspace of over every field
Statement
For every field , every -vector space , and every , the th exterior power is canonically a linear subspace of the -fold tensor power : the antisymmetrization map
is a well-defined injective linear section of the quotient map , for every field .
Facts & Assumptions
Given: A field , a vector space with , the quotient map , and the antisymmetrization .
The exterior power is the quotient with quotient map (The th exterior power as the tensor-power quotient by repeated-vector relations).
Permuting the entries of a wedge multiplies it by the permutation sign (Exterior multiplication is well defined, graded, associative, unital, and graded-commutative).
Refutation
By [L1], is a quotient of , and the structure map is a surjection with nonzero kernel: for and , extend a nonzero vector to a basis ; then the pure tensor (with the tail omitted when ) is nonzero yet of it is because the first two entries repeat, so the canonical construction presents as a quotient, not a subspace.
For the formula-defined antisymmetrization, [L2] gives
[L2, algebra]
Over a field whose characteristic divides , step 1.2 gives , while by the hypothesis ; a section must satisfy , so is not a section over such a field. The concrete witness is , , : and of that is .
Step 2.1 gives a field , a vector space , and a degree for which the displayed formula is not a section of , so the universal claim "for every field" is false.
FALSE: an inner product determines an orientation
Statement
An inner product on a finite-dimensional real vector space determines an orientation of that space.
Facts & Assumptions
Given: The standard inner product on and the ordered bases and .
With the standard metric fixed, carries the two opposite orientations represented by and , and reversing the orientation negates the Hodge star (Reversing orientation negates the Hodge star while keeping the metric fixed).
The sign of a change-of-basis determinant records which orientation class a basis lies in (A real linear isomorphism preserves or reverses orientation according to the sign of its determinant).
Refutation
By [L1], the same standard inner product is compatible with both the orientation represented by and the opposite one represented by ; neither is preferred by the metric.
By [L2], these are genuinely different orientations: the change-of-basis determinant is , so the two bases lie in opposite classes.
Since one inner product is compatible with two different orientations, the inner product does not determine an orientation.
FALSE: an orientation determines an inner product
Statement
An orientation of a finite-dimensional real vector space determines an inner product on that space.
Facts & Assumptions
Given: The orientation of represented by , the standard inner product , and the scaled inner product .
The oriented unit volume form is attached to the pair of an orientation and an inner product (The oriented unit volume form).
The Gram pairing on the exterior powers is built from the inner product (The Gram formula gives a well-defined positive-definite inner product on exterior powers, and is the Gram determinant).
Refutation
The two inner products and are different: but . However, orientation classes of ordered bases are defined purely by determinants of change-of-basis maps, with no metric input, so both metrics sit over the same orientation class of .
By [L1], the unit volume form for is , while for it is .
By [L2], the two metrics also induce different Gram pairings on the exterior powers: norms are rescaled, so the metric data is genuinely different even though the orientation is the same.
Steps 1.1, 1.2 and 2.1 exhibit two different inner products over one fixed orientation, refuting the claim.
FALSE: Hodge star needs only the vector-space structure
Statement
The Hodge star is determined by the underlying real vector-space structure alone: no metric or orientation data is needed.
Facts & Assumptions
Given: The real vector space , the standard inner product, and the two opposite orientations.
The Hodge star is built from the Gram pairing (the metric) and the oriented unit volume form (the orientation) (The Hodge star on an oriented finite-dimensional real inner-product space).
The Hodge star is the unique operator satisfying its characterizing relation for those data (The Hodge star exists uniquely and is given by the complementary-basis formula in an oriented orthonormal basis).
With the standard metric fixed, reversing the orientation negates the Hodge star: (Reversing orientation negates the Hodge star while keeping the metric fixed).
Refutation
By [L1], the definition of the Hodge star consumes a metric and an orientation as input, so the star is data attached to the pair, not to the bare vector space.
By [L3], the same underlying real vector space with the same metric but the two opposite orientations has two different stars, .
By the uniqueness clause of [L2], the operator is genuinely tied to the chosen data: the characterizing relation forces the sign change of step 1.2, so no single star is attached to the vector-space structure alone.
Steps 1.1 through 2.1 refute the claimed sufficiency of the vector-space structure.