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Exterior Powers, Orientation and Hodge Duality
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
- 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
Iterated tensor products and their basis and functoriality theorems supply the construction machinery; determinants, linear bases, dimension, and linear independence supply the counting and independence tools; and the published inner-product infrastructure — orthonormal bases, Gram determinants, adjoints, and orthogonal operators — supplies the metric half.
The page builds the exterior powers as quotients of the tensor powers by the repeated-vector relations, never dividing by , and proves the universal property, the increasing-wedge bases, the dimension and vanishing formulas, and the independence test for a decomposable wedge. It then assembles the graded exterior algebra with its associativity and graded-commutativity laws, proves functoriality, computes the matrix of as the signed minor matrix, and derives the determinant action on the top exterior power and determinant multiplicativity. Orientation is defined through the sign of change-of-basis determinants, and the determinant sign detects orientation change. On a finite-dimensional real inner product space the Gram pairing is defined on exterior powers and proved positive definite, the oriented unit volume form and the Hodge star are introduced, and the star is shown to exist uniquely with its orthonormal-basis formula, to be an isometry, and to square to . Interior product is the adjoint of exterior multiplication, satisfies the graded anticommutation identity, and in oriented Euclidean three-space recovers the cross product as .
3 · Logical flowchart
4 · Definitions, theorems and proofs
Alternating -linear maps
Definition
Let be a field and let be -vector spaces (Vector space over a field). For , a map
is -linear (multilinear) when it is linear in each of its arguments separately, with the other arguments held fixed. It is alternating when
For , a -linear map is a choice of one element of ; for , a -linear map is a linear map. Both are alternating vacuously, because there is no pair of arguments to compare.
Remarks
When in , alternation is equivalent to the sign rule : expand and use . In characteristic two the sign rule collapses to the tautology and does not imply alternation; the published witness is Over , an antisymmetric bilinear form need not be alternating. This page therefore works directly with the repeated-argument condition, never with a division by .
The th exterior power as the tensor-power quotient by repeated-vector relations
Definition
Let be a vector space over a field and let . The -fold tensor power is , , and for the iterated tensor product of copies of under any parenthesization. By Finite iterated tensor products represent multilinear maps independently of parenthesization every parenthesization represents the -linear maps out of , and different parenthesizations are joined by the unique isomorphism preserving pure tensors, so is determined up to that isomorphism.
Let be the subspace spanned by all pure tensors for which for some pair (so ). The th exterior power of is the quotient vector space
and the basic wedge map is
Remarks
The construction never divides by , so is defined in every characteristic. Its relation to the Alternating -linear maps maps is the universal property of Exterior powers represent alternating multilinear maps and are unique up to unique isomorphism; the convention fixed here is that a repeated entry makes the wedge zero.
Decomposable -vectors and the basic wedge product
Definition
For , the image of the basic wedge map of The th exterior power as the tensor-power quotient by repeated-vector relations is written
and is called the wedge (or exterior product) of the list. A -vector is decomposable (or pure) when it equals for some list; a general element of is a finite sum of decomposables, because the pure tensors span and their classes span the quotient.
For the empty wedge is ; for the wedge of a single vector is the vector itself under the identification .
Remarks
The wedge of depends on the order of the list only up to a sign (see Exterior multiplication is well defined, graded, associative, unital, and graded-commutative); the notation records the order.
The graded exterior algebra
Definition
The exterior algebra of is the graded vector space
whose homogeneous piece of degree is the exterior power of The th exterior power as the tensor-power quotient by repeated-vector relations. On decomposables of Decomposable -vectors and the basic wedge product define the wedge product
and extend bilinearly to all of . The product of two homogeneous elements is homogeneous of the sum of the degrees, so is a graded algebra with unit .
The product is well defined. Each generator of contains a repeated pair, so its concatenation with any pure tensor of degree lies in . By linearity, concatenation sends and into . It therefore descends to a bilinear map on the two quotient spaces, and that descended map is exactly the displayed wedge product. Associativity and the graded commutation law are proved in Exterior multiplication is well defined, graded, associative, unital, and graded-commutative.
The induced map on exterior powers
Definition
Let be linear. Iterating the induced map of Module homomorphisms induce tensor-product homomorphisms functorially gives the -fold tensor power
with and . A pure tensor with maps to the pure tensor with , so for the relation subspaces of The th exterior power as the tensor-power quotient by repeated-vector relations. Hence descends to the quotient, defining the th exterior power
For this is , and for it is itself under .
Orientation of a finite-dimensional real vector space
Definition
Let be a finite-dimensional real vector space (Finite-dimensional vector space, and its dimension ; infinite-dimensional means having no finite basis). Two ordered bases of (Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis) are declared equivalent when the determinant of the unique change-of-basis linear isomorphism carrying to satisfies , where the determinant is The determinant of an endomorphism of a finite-dimensional vector space: its matrix determinant in an ordered basis in positive dimension, and on the zero space and positivity is the order of the real field The reals form a totally ordered field.
This is an equivalence relation. The identity change of basis has determinant . If through , then through , and . If through , then by For same-sized finite square matrices over a commutative ring, .
An orientation of is an equivalence class of ordered bases under this relation; a basis in the chosen class is positively oriented for that orientation. When there are exactly two orientations: fixing one ordered basis , every other basis has or by the trichotomy of The reals form a totally ordered field. If , replacing the sole basis vector of by its negative produces a basis with determinant ; if , interchanging two entries of does the same. Thus both classes occur. When the only ordered basis is the empty one and there is exactly one orientation.
Remarks
Orientations depend only on the real vector-space structure; no inner product or basis preference enters the definition.
Exterior powers represent alternating multilinear maps and are unique up to unique isomorphism
Statement
Let be a vector space over a field and . The basic wedge map , , is -linear and alternating. For every -vector space and every alternating -linear map of Alternating -linear maps, there is a unique linear map with
Moreover, if is a vector space and is a -linear alternating map with the same property, then there is a unique linear isomorphism with .
Facts & Assumptions
Given: A field , a vector space , an integer , a vector space , and an alternating -linear map .
An alternating -linear map vanishes whenever two arguments are equal (Alternating -linear maps).
The exterior power is , and the wedge is the universal multilinear map composed with the quotient projection (The th exterior power as the tensor-power quotient by repeated-vector relations).
The iterated tensor product represents -linear maps: every -linear map out of factors uniquely through the pure-tensor map (Finite iterated tensor products represent multilinear maps independently of parenthesization).
A linear map out of factors uniquely through when it kills (Universal property of the quotient vector space).
Two pairs representing the same class of maps are related by a unique isomorphism carrying structure maps to structure maps (Tensor products are unique up to a unique isomorphism carrying elementary tensors to elementary tensors).
Proof
The wedge is multilinear and alternating: by [L2] it is the composition of the universal multilinear map of [L3] with the quotient projection, and the projection kills every pure tensor with a repeated pair, which is exactly the vanishing condition of [L1].
Since is -linear, [L3] supplies a unique linear map with .
The map kills : each generator is a pure tensor with a repeated pair, on which agrees with the alternating map , which vanishes by [L1]; hence vanishes on the whole span .
By [L4], factors uniquely through the quotient of [L2], giving a unique linear with the displayed value on every wedge.
For the uniqueness up to unique isomorphism, apply the universal property of to and that of to , obtaining and with and . Then and , so the uniqueness clause of step 3.1 forces and ; this is the two-application argument of [L5].
Steps 1.1 and 3.1 prove the representing property, and step 4.1 the uniqueness of the representing pair.
The basic wedge map is multilinear and alternating
Statement
Facts & Assumptions
Given: A vector space over a field and .
The exterior power is the quotient , and the basic wedge map is the universal multilinear map composed with the quotient projection (The th exterior power as the tensor-power quotient by repeated-vector relations).
The wedge map represents alternating -linear maps and is itself -linear and alternating (Exterior powers represent alternating multilinear maps and are unique up to unique isomorphism).
Proof
By [L1], the wedge of Decomposable -vectors and the basic wedge product is obtained from the universal multilinear map by a linear quotient map, so it is linear in each of its arguments.
By [L1], the quotient projection sends every pure tensor with a repeated pair to zero, so the wedge vanishes whenever two arguments are equal.
Steps 1.1 and 1.2 are exactly multilinearity and alternation; they match the structure map described in [L2], whose universal property supplies the same statements.
Increasing-index wedges of a basis form a basis of
Statement
Let have the ordered basis over and let . For each -element subset write
Then the family indexed by the -element subsets of is a basis of .
Facts & Assumptions
Given: A vector space with ordered basis and a degree .
The exterior power is with the wedge equal to the universal multilinear map composed with the quotient projection (The th exterior power as the tensor-power quotient by repeated-vector relations).
The pure tensors over all -tuples form a basis of (The elementary tensors of two bases form the product basis of the tensor product).
Alternating -linear maps factor uniquely through (Exterior powers represent alternating multilinear maps and are unique up to unique isomorphism).
A basis is a linearly independent spanning set (Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis).
For , the matrix determinant is alternating and multilinear in the columns, with (The Leibniz determinant is column-multilinear, alternating and normalized over every commutative ring).
Proof
If , then [L1] gives , and the unique -element subset of is , with a basis of . So only the case remains.
Assume . By [L2], every element of is a linear combination of the pure tensors over all -tuples; passing to the quotient of [L1], every element of is a linear combination of the wedges over all -tuples.
Still assuming , a wedge with a repeated index is zero by [L1], and a wedge with distinct indices equals the increasing-index wedge up to a sign: transposing two adjacent wedge entries multiplies the wedge by , because by [L1] the alternating relation gives .
For each -subset define by , where is the matrix whose th column is the list of the coordinates of ; by [L5], is -linear and alternating, so [L3] induces a unique linear map with .
If , then steps 1.2 and 1.3 give that the increasing wedges span .
If , then for subsets , the matrix for at is the identity when and has a zero row when , so [L5] and step 1.4 give for and for .
If and , applying of step 1.4 gives for every by step 2.2, so the increasing wedges are linearly independent in the sense of [L4].
Step 1.1 handles , while steps 2.1 and 3.1 show that for the increasing wedges are a spanning independent set. Therefore in every case the family is a basis of .
If , then
Statement
If is finite-dimensional over with , then for every ,
Facts & Assumptions
Given: A finite-dimensional vector space with .
The increasing-index wedges of an ordered basis form a basis of , indexed by the -element subsets (Increasing-index wedges of a basis form a basis of ).
The dimension of a finite-dimensional vector space is the size of any of its bases (Finite-dimensional vector space, and its dimension ; infinite-dimensional means having no finite basis).
The binomial coefficient is , the number of -element subsets of an -element set (The set of -element subsets and the binomial coefficient ).
Proof
Since , there is an ordered basis of by [L2].
By [L1], the set of wedges over the -element subsets of is a basis of .
By [L3] there are exactly such subsets, and by [L2] the dimension equals that count.
If , then
Statement
If is finite-dimensional with and , then .
Facts & Assumptions
Given: A finite-dimensional vector space with and a degree .
The equality means that has a basis with elements (Finite-dimensional vector space, and its dimension ; infinite-dimensional means having no finite basis).
In a space with a spanning set of elements, every linearly independent subset has at most elements (If has a spanning set with elements, then every linearly independent subset of is finite with at most elements; in particular has no linearly independent subset equinumerous with ).
In a finite-dimensional vector space, 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).
The exterior power is the quotient of generated by decomposable wedges (The th exterior power as the tensor-power quotient by repeated-vector relations).
Proof
If some -tuple in were linearly independent, then its image set would be a linearly independent subset of with elements. That contradicts [L1] and [L2] because . So every -tuple in is linearly dependent.
By [L3], step 1.1 forces every decomposable wedge to vanish.
By [L4], every element of is a linear combination of decomposable wedges, so step 2.1 forces every element of to be zero.
Hence whenever .
In a finite-dimensional vector space, a decomposable wedge is nonzero exactly when its vectors are linearly independent
Statement
Let be a finite-dimensional vector space over . For ,
Facts & Assumptions
Given: A finite-dimensional vector space over a field and a finite list .
A list is dependent exactly when one entry is a linear combination of the others (Linear independence: a finite list is independent when forces every , and a subset is independent when every injective finite list into is independent).
The increasing-index wedges of a basis form a basis of (Increasing-index wedges of a basis form a basis of ).
In a finite-dimensional vector space, every linearly independent subset is contained in a basis, with no choice principle needed (If and is a linear subspace of , then is finite-dimensional, , and if and only if ).
Proof
If are dependent, choose by [L1] an entry . Expanding the wedge by the multilinearity of the wedge map gives with in the th slot, and every summand has the repeated entry , so alternation kills it; hence the wedge is zero.
If are independent, [L3] places the subset inside a basis of ; ordering the remaining basis vectors after gives a basis of . Then is the basis wedge attached to the first indices, so by [L2] it is a basis vector and in particular nonzero.
Steps 1.1 and 1.2 prove the two directions of the equivalence.
Exterior multiplication is well defined, graded, associative, unital, and graded-commutative
Statement
The wedge product of The graded exterior algebra is well defined and bilinear in each homogeneous pair of degrees. It is associative, has unit , is graded in the sense that , and is graded-commutative:
All of this holds over every field, including characteristic two.
Facts & Assumptions
Given: A vector space over a field and homogeneous elements of degrees .
The exterior algebra is the graded sum of the exterior powers, with the wedge product defined by concatenation on decomposables and extended bilinearly; the definition checks that a repeated pair persists under concatenation, so the product is well defined (The graded exterior algebra ).
The basic wedge map is multilinear and alternating (The basic wedge map is multilinear and alternating).
Proof
Well-definedness and bilinearity in each degree pair are recorded in [L1], and the graded containment is the degree count of the concatenation.
Unitality: for a decomposable , the convention is the definition in [L1]; bilinearity extends it.
Associativity: on decomposables, and are both the concatenation of the three lists by [L1]; multilinearity of [L2] extends the equality to all elements.
For vectors , alternation of [L2] applied to gives , so ; no division by is used, so this holds in characteristic two as well, where it reads .
Block swap: for decomposable and , move each of the factors leftward past all factors using step 1.4, collecting factors of ; associativity of step 1.3 makes the block move legitimate, giving , and multilinearity extends this to all homogeneous elements.
Steps 1.1 through 2.1 prove the five asserted laws in every characteristic, because the only sign rule used is the alternation identity of step 1.4.
Exterior powers are functorial
Statement
For linear maps and and every , the induced maps of The induced map on exterior powers satisfy
Thus , is a functor from -vector spaces to -vector spaces, for each fixed .
Facts & Assumptions
Given: Linear maps and and a degree .
The induced map is (The induced map on exterior powers).
A linear map out of is determined by its values on decomposable wedges, by the uniqueness clause of the universal property (Exterior powers represent alternating multilinear maps and are unique up to unique isomorphism).
Proof
By [L1], , so it agrees with on decomposables; [L2] then gives equality everywhere.
By [L1] applied to and to each factor, ; [L2] extends the equality from decomposables to all of .
Steps 1.1 and 1.2 are the identity and composition laws of a functor, with the and cases the conventions of [L1].
In basis-wedge coordinates, the matrix of is the signed matrix of -minors
Statement
Let be finite-dimensional with ordered bases and , let be linear with matrix , so , and let . In the wedge bases and of Increasing-index wedges of a basis form a basis of , the matrix of has entries
where is the submatrix of with rows and columns .
Facts & Assumptions
Given: Ordered bases, a linear map with matrix , and -subsets .
The induced map is (The induced map on exterior powers).
The th column of is the coordinate column of , i.e. (Coordinate columns and matrices of linear maps relative to ordered bases).
The wedge families and are bases of the exterior powers (Increasing-index wedges of a basis form a basis of ).
The matrix determinant is the Leibniz sum (For , the determinant over a commutative ring by the Leibniz formula, and for a real matrix).
Proof
By [L1], .
By [L2], each factor expands as .
By [L3], the wedges form a basis of .
Expanding step 1.1 with step 1.2 and collecting the coefficient of : only tuples with distinct indices survive (a repeated index makes the wedge zero), and reordering the tuple into increasing order multiplies by the permutation sign, so the coefficient is , which is by [L4].
By step 1.3 and [L2], the coefficients computed in step 2.1 are exactly the entries of the matrix of in the wedge bases.
On , the induced map is multiplication by
Statement
Let be an endomorphism of a finite-dimensional vector space of dimension . Then is one-dimensional with basis for any ordered basis , and
For , by convention.
Facts & Assumptions
Given: An endomorphism of an -dimensional vector space , , and an ordered basis .
The matrix of in the top wedge basis has the single entry (In basis-wedge coordinates, the matrix of is the signed matrix of -minors).
Proof
By [L1] with , the wedge basis of is the single vector , so is one-dimensional and the matrix of is the matrix with entry .
By [L2], that entry is .
Hence , and one-dimensionality makes .
For every decomposable top wedge , one has for a unique scalar by step 1.1, so step 2.1 gives
[step 1.1, step 2.1, algebra]
Steps 2.1 and 3.1 establish the claimed scalar action in positive dimension, and the conventions cover .
Determinant multiplicativity follows from the top exterior power
Statement
For endomorphisms of an -dimensional vector space with ,
Facts & Assumptions
Given: Endomorphisms of an -dimensional vector space , .
The top exterior power acts by the determinant: (On , the induced map is multiplication by ).
Exterior powers preserve composition: (Exterior powers are functorial).
Proof
By [L2], .
Substituting the scalar actions of [L1] gives on .
Since is one-dimensional and nonzero, comparing the two scalars gives .
A real linear isomorphism preserves or reverses orientation according to the sign of its determinant
Statement
Let be a linear isomorphism of an oriented real vector space with . If , then carries every positively oriented basis to a positively oriented basis; if , then carries every positively oriented basis to a negatively oriented one. Thus the sign of is exactly whether preserves or reverses the orientation.
Facts & Assumptions
Given: A linear isomorphism of an oriented -dimensional real vector space, , and a positively oriented ordered basis .
An orientation is an equivalence class of ordered bases, with two bases equivalent exactly when the determinant of their change-of-basis isomorphism is positive; a nonzero real determinant is positive or negative (Orientation of a finite-dimensional real vector space).
The top exterior power acts by the determinant: (On , the induced map is multiplication by ).
Proof
Fix a positively oriented ordered basis ; the transported list is again an ordered basis because is an isomorphism, and the change-of-basis map from to is itself.
By [L1], is positively oriented exactly when , and negatively oriented exactly when ; both cases are exhaustive because invertible has .
The top exterior action of [L2] records the same sign: , so the transported basis belongs to the class of precisely when the scalar is positive.
Steps 1.2 and 2.1 prove both the preservation and the reversal claims, and the orientation class of the transported basis is independent of the positively oriented basis chosen.
The Gram inner product on
Definition
Let be a finite-dimensional real inner product space (Real and complex inner product spaces, with the inner product linear in the first argument) and . On decomposable wedges of The th exterior power as the tensor-power quotient by repeated-vector relations put
the determinant (For , the determinant over a commutative ring by the Leibniz formula, and for a real matrix) of the matrix of pairings. For both sides are the empty determinant, which is .
For each fixed list , the assignment is -linear (each entry is linear in the corresponding , and the determinant is multilinear in its rows) and alternating (if , two rows of the matrix are equal, so the determinant vanishes). It therefore descends to a linear functional on in the first slot, and symmetrically in the second slot. The resulting bilinear pairing is the Gram inner product on ; that it is an inner product in the sense of Real and complex inner product spaces, with the inner product linear in the first argument is proved in The Gram formula gives a well-defined positive-definite inner product on exterior powers, and is the Gram determinant ↗, which also discharges the well-definedness obligation recorded above.
The Gram formula gives a well-defined positive-definite inner product on exterior powers, and is the Gram determinant
Statement
Let be a finite-dimensional real inner product space of dimension , and let . The formula
defines a well-defined inner product on in the sense of Real and complex inner product spaces, with the inner product linear in the first argument. In particular, for every list ,
the Gram determinant of The Gram matrix and Gram determinant, with empty value , which vanishes exactly when the list is dependent.
Facts & Assumptions
Given: A finite-dimensional real inner product space of dimension , a degree , and lists of length in .
The intended pairing is the displayed determinant formula, with descent through the quotient in each slot (The Gram inner product on ).
The Gram matrix is , with empty determinant (The Gram matrix and Gram determinant, with empty value ).
The Gram determinant is nonnegative, and positive exactly for independent lists (A Gram determinant is nonnegative and is positive exactly when the vector list is linearly independent).
The increasing-index wedges of an orthonormal basis form a basis of (Increasing-index wedges of a basis form a basis of ).
Alternating multilinear maps factor uniquely through (Exterior powers represent alternating multilinear maps and are unique up to unique isomorphism).
A finite-dimensional inner product space has an orthonormal basis (Every finite-dimensional real or complex inner product space has an orthonormal basis).
The determinant is unchanged by transposition: (For every square matrix over a commutative ring, ).
Proof
For a fixed list , the assignment is -linear and alternating in the 's (determinant multilinear in rows, zero on a repeated row), so by [L5] it descends to a unique linear functional on ; symmetrically in the second slot. This is the well-defined bilinear pairing of [L1].
By [L1] and [L2], the pure-wedge norm square is .
Symmetry: by [L7].
Choose an orthonormal basis by [L6]; by [L4] the wedges form a basis of , and by step 1.2 the pairing satisfies of the identity submatrix, which is when and otherwise.
The norm-square formula of step 1.2 is the claimed Gram-determinant identity, and by [L3] that determinant is nonnegative and vanishes exactly for dependent lists, matching the independence criterion of In a finite-dimensional vector space, a decomposable wedge is nonzero exactly when its vectors are linearly independent.
Expanding in the basis of step 2.1 gives , with equality exactly when every , i.e. ; with steps 1.1 and 1.3 this is a positive-definite inner product.
Steps 1.1, 2.2 and 3.1 prove well-definedness, the Gram-determinant formula, and positive definiteness.
The oriented unit volume form
Definition
Let be an oriented finite-dimensional real inner product space with (Orientation of a finite-dimensional real vector space). Choose a positively oriented orthonormal basis , which exists by Every finite-dimensional real or complex inner product space has an orthonormal basis, and define the oriented unit volume form
This is independent of the choice. Any other positively oriented orthonormal basis is obtained from by a linear map that carries one orthonormal basis to another, hence is an orthogonal operator by For an endomorphism in finite dimension, preserving lengths, preserving inner products, carrying orthonormal bases to orthonormal bases, and are equivalent; over the reals its determinant is therefore by Orthogonal and unitary operators form groups, and their determinants have modulus one. Positivity of the change of basis forces , and by On , the induced map is multiplication by ,
The form is a unit. By the Gram pairing of The Gram formula gives a well-defined positive-definite inner product on exterior powers, and is the Gram determinant, . For , set .
Remarks
Reversing the orientation replaces by ; the oriented unit volume form is where the orientation enters the Hodge-star data.
The Hodge star on an oriented finite-dimensional real inner-product space
Definition
Let be an oriented finite-dimensional real inner product space of dimension , with Gram pairings on the exterior powers of The Gram inner product on and oriented unit volume form of The oriented unit volume form. For each degree with , the Hodge star
is the linear map characterized by
Existence and uniqueness of for every degree are proved in The Hodge star exists uniquely and is given by the complementary-basis formula in an oriented orthonormal basis ↗, which discharges the well-definedness obligation recorded above.
Remarks
The Hodge star needs the metric (through the Gram pairing) and the orientation (through ); the bare vector-space structure does not determine it. With the opposite orientation is replaced by , and the star is replaced by .
The Hodge star exists uniquely and is given by the complementary-basis formula in an oriented orthonormal basis
Statement
Let be an oriented finite-dimensional real inner product space of dimension . For every degree there is a unique linear map satisfying
where is the oriented unit volume form of The oriented unit volume form. If is a positively oriented orthonormal basis and has complement , let be the sign of the permutation ; then
Facts & Assumptions
Given: An oriented -dimensional real inner product space , its unit volume form , a degree , and a positively oriented orthonormal basis .
The Hodge star is characterized by (The Hodge star on an oriented finite-dimensional real inner-product space).
The Gram pairing on the exterior powers is a positive-definite, hence nondegenerate, inner product (The Gram formula gives a well-defined positive-definite inner product on exterior powers, and is the Gram determinant).
The unit volume form is for the positively oriented orthonormal basis, with (The oriented unit volume form).
The wedges form a basis of and the wedges a basis of (Increasing-index wedges of a basis form a basis of ).
Proof
By [L3] and [L4], the positively oriented orthonormal basis exists and yields the wedge bases of and of .
Define a linear map by on the basis of step 1.1.
For subsets of sizes and , one has unless : if some index occurs twice, and if then by the definition of and [L3]. The Gram pairing of [L2] on the orthonormal basis satisfies for and otherwise, so for all .
Both sides of the relation of [L1] are bilinear in , so step 3.1 extends from basis wedges to the identity for all .
Uniqueness: if also satisfies [L1], then for all ; pairing with through the Gram inner product of [L2] gives for all , so nondegeneracy forces ; the map of step 2.1 permutes a basis up to sign, hence is bijective, so .
Steps 2.1 and 4.1 prove existence with the complementary-basis formula, and step 5.1 proves uniqueness.
The Hodge star is an isometry and satisfies on
Statement
On of an oriented -dimensional real inner product space, the Hodge star preserves the Gram pairing,
and satisfies
Facts & Assumptions
Given: An oriented -dimensional real inner product space , a degree , and a positively oriented orthonormal basis .
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).
Proof
By [L1], sends the orthonormal wedge basis to the family , which is the complementary orthonormal wedge basis with signs attached; hence , and bilinearity gives the isometry on all of .
For each , apply [L1] twice: , where is the sign of the permutation listing followed by . The two permutations differ by interchanging a block of size with a block of size , whose sign is , so and .
Since the form a basis, step 1.2 gives on .
Interior product on the exterior algebra
Definition
Let be a finite-dimensional real inner product space and . For each degree , exterior multiplication by ,
is a linear map between finite-dimensional inner product spaces, the target carrying the Gram pairing of The Gram inner product on and the wedge product being Exterior multiplication is well defined, graded, associative, unital, and graded-commutative. Its adjoint exists and is unique by Every linear map between finite-dimensional inner product spaces has a unique adjoint. The interior product (contraction) by is that adjoint:
with on . The explicit value of on a decomposable wedge is computed in Interior product is the adjoint of exterior multiplication by a vector ↗, which discharges the well-definedness obligation recorded above.
Remarks
The three defining properties of the interior product — , for , and the graded derivation rule of Exterior multiplication and interior product satisfy the graded anticommutation identity — each follow from the adjoint description.
Interior product is the adjoint of exterior multiplication by a vector
Statement
For , the interior product of Interior product on the exterior algebra is the adjoint of exterior multiplication . On a decomposable wedge,
where means is omitted. Equivalently, is the unique linear operator with , for , and the graded derivation rule , established on the following page item as the anticommutation identity.
Facts & Assumptions
Given: A finite-dimensional real inner product space , a vector , and a degree .
The interior product is the adjoint , characterized by (Interior product on the exterior algebra).
The wedge product is multilinear, and for vectors (Exterior multiplication is well defined, graded, associative, unital, and graded-commutative).
A linear map between finite-dimensional inner product spaces has a unique adjoint (Every linear map between finite-dimensional inner product spaces has a unique adjoint).
A finite-dimensional inner product space has an orthonormal basis (Every finite-dimensional real or complex inner product space has an orthonormal basis).
A linear map out of is determined by its values on decomposable wedges (Exterior powers represent alternating multilinear maps and are unique up to unique isomorphism).
Proof
The map is linear by [L2], so [L3] supplies its unique adjoint; by [L1] that adjoint is with .
Choose an orthonormal basis by [L4], write , and let . Then , and the pairing is nonzero only when for some and , in which case .
By step 1.2, , since the form an orthonormal basis of and the pairing is nondegenerate by [L1].
The assignment is multilinear (each term is multilinear) and alternating (when , the two terms and cancel by the block sign of [L2], and the remaining terms have a repeated entry), so by [L5] there is a unique linear map agreeing with on decomposables; on the basis wedge it equals step 2.1, hence it is .
Steps 1.1 and 3.1 prove the adjoint description and the displayed contraction formula; evaluating at gives and , the two boundary clauses of the characterization.
Exterior multiplication and interior product satisfy the graded anticommutation identity
Statement
For vectors in a finite-dimensional real inner product space and every ,
Facts & Assumptions
Given: Vectors and an element .
The interior product is the adjoint of exterior multiplication: (Interior product on the exterior algebra).
On a decomposable wedge, (Interior product is the adjoint of exterior multiplication by a vector).
The wedge product is bilinear, associative, and satisfies for vectors (Exterior multiplication is well defined, graded, associative, unital, and graded-commutative).
Proof
For a decomposable , apply [L2] to : the term is , and the terms contribute , because the omission of leaves in position , which costs the sign .
Using [L3] to move the leading and [L2] once more identifies the sum over with , so .
Both sides of the claimed identity are linear in (the wedge is bilinear by [L3] and is linear by [L1]), so equality extends from decomposables to all of .
In oriented Euclidean three-space, the cross product is
Statement
In with the standard inner product and the standard orientation (the class of the ordered basis ), define the cross product in the oriented orthonormal basis by
Then . Equivalently, with the unit volume form , one has , and is orthogonal to both and .
Facts & Assumptions
Given: Vectors , the oriented orthonormal basis , and the unit volume form .
In an oriented orthonormal basis, , and the star is characterized by (The Hodge star exists uniquely and is given by the complementary-basis formula in an oriented orthonormal basis).
On , one has because (The Hodge star is an isometry and satisfies on ).
The interior product contracts by (Interior product is the adjoint of exterior multiplication by a vector).
Proof
Every bilinear alternating map is determined by its values on the three pairs : expanding in coordinates, .
By [L1], , , and ; the map is bilinear and alternating because the wedge is and is linear.
The coordinate cross product is bilinear and alternating, and satisfies , , .
By step 1.1, the two bilinear alternating maps of steps 1.2 and 1.3 agree on the three generating pairs, hence agree everywhere: .
The interior-product form: by [L3], , and applying to that expansion collects the coordinates , , , so by step 2.1.
Orthogonality: by the defining relation of [L1] and the square law of [L2], , and , so ; the same argument with gives .
Steps 2.1, 3.1 and 3.2 establish the three equivalent descriptions and the orthogonality.
5 · Examples, counterexamples and false statements
None yet.
Sources
- Keith Conrad, Exterior Powers
- Reyer Sjamaar, Manifolds and Differential Forms, §8.2
- Reyer Sjamaar, Manifolds and Differential Forms, §8.1
- Reyer Sjamaar, Manifolds and Differential Forms, §8.3
- Reyer Sjamaar, Manifolds and Differential Forms, §2.4
- Albert Chern, Geometric Fluid Dynamics notes, Interior Products
- Reyer Sjamaar, Manifolds and Differential Forms, §2.5