In mathematics, the exterior algebra or Grassmann algebra of a vector space V is an associative algebra that contains V, which has a product, called exterior product or wedge product and denoted with \wedge, such that v\wedge v=0 for every vector v in V. The exterior algebra is named after Hermann Grassmann, and the names of the product come from the "wedge" symbol \wedge and the fact that the product of two elements of V is "outside" V. The wedge product of k vectors is called a blade of degree k or k-blade. The wedge product was introduced originally as an algebraic construction used in geometry to study areas, volumes, and their higher-dimensional analogues: The magnitude of a [[bivector| 2 -blade]] v\wedge w is the area of the parallelogram defined by v and w, and, more generally, the magnitude of a k-blade is the (hyper)volume of the parallelotope defined by the constituent vectors. The alternating property that v\wedge v=0 implies a skew-symmetric property that and more generally any blade flips sign whenever two of its constituent vectors are exchanged, corresponding to a parallelotope of opposite orientation. The full exterior algebra contains objects that are not themselves blades, but linear combinations of blades; a sum of blades of homogeneous degree k is called a k-vector, while a more general sum of blades of arbitrary degree is called a multivector. The linear span of the k-blades is called the k-th exterior power of V. The exterior algebra is the direct sum of the k-th exterior powers of V, and this makes the exterior algebra a graded algebra. The exterior algebra is universal in the sense that every equation that relates elements of V in the exterior algebra is also valid in every associative algebra that contains V and in which the square of every element of V is zero. The definition of the exterior algebra can be extended for spaces built from vector spaces, such as vector fields and functions whose domain is a vector space. Moreover, the field of scalars may be any field (however for fields of characteristic two, the above condition v\wedge v=0 must be replaced with which is equivalent in other characteristics). More generally, the exterior algebra can be defined for modules over a commutative ring. In particular, the algebra of differential forms in k variables is an exterior algebra over the ring of the smooth functions in k variables.

Motivating examples

Areas in the plane

The two-dimensional Euclidean vector space is a real vector space equipped with a basis consisting of a pair of orthogonal unit vectors Suppose that are a pair of given vectors in \mathbf{R}^2, written in components. There is a unique parallelogram having \mathbf{v} and \mathbf{w} as two of its sides. The area of this parallelogram is given by the standard determinant formula: Consider now the exterior product of \mathbf{v} and \mathbf{w}: where the first step uses the distributive law for the exterior product, and the last uses the fact that the exterior product is an alternating map, and in particular (The fact that the exterior product is an alternating map also forces ) Note that the coefficient in this last expression is precisely the determinant of the matrix [v w]. The fact that this may be positive or negative has the intuitive meaning that v and w may be oriented in a counterclockwise or clockwise sense as the vertices of the parallelogram they define. Such an area is called the signed area of the parallelogram: the absolute value of the signed area is the ordinary area, and the sign determines its orientation. The fact that this coefficient is the signed area is not an accident. In fact, it is relatively easy to see that the exterior product should be related to the signed area if one tries to axiomatize this area as an algebraic construct. In detail, if A(v, w) denotes the signed area of the parallelogram of which the pair of vectors v and w form two adjacent sides, then A must satisfy the following properties: With the exception of the last property, the exterior product of two vectors satisfies the same properties as the area. In a certain sense, the exterior product generalizes the final property by allowing the area of a parallelogram to be compared to that of any chosen parallelogram in a parallel plane (here, the one with sides e1 and e2). In other words, the exterior product provides a basis-independent formulation of area.

Cross and triple products

For vectors in R3, the exterior algebra is closely related to the cross product and triple product. Using the standard basis, the exterior product of a pair of vectors and is where is the basis for the three-dimensional space ⋀2(R3). The coefficients above are the same as those in the usual definition of the cross product of vectors in three dimensions, the only difference being that the exterior product is not an ordinary vector, but instead is a bivector. Bringing in a third vector the exterior product of three vectors is where e1 ∧ e2 ∧ e3 is the basis vector for the one-dimensional space ⋀3(R3). The scalar coefficient is the triple product of the three vectors. The cross product and triple product in three dimensions each admit both geometric and algebraic interpretations. The cross product u × v can be interpreted as a vector which is perpendicular to both u and v and whose magnitude is equal to the area of the parallelogram determined by the two vectors. It can also be interpreted as the vector consisting of the minors of the matrix with columns u and v. The triple product of u, v, and w is geometrically a (signed) volume. Algebraically, it is the determinant of the matrix with columns u, v, and w. The exterior product in three dimensions allows for similar interpretations. In fact, in the presence of a positively oriented orthonormal basis, the exterior product generalizes these notions to higher dimensions.

Formal definition

The exterior algebra of a vector space V over a field K is defined as the quotient algebra of the tensor algebra T(V), where by the two-sided ideal I generated by all elements of the form x \otimes x such that x\in V. Symbolically, The exterior product \wedge of two elements of is defined by

Algebraic properties

Alternating product

The exterior product is by construction alternating on elements of V, which means that for all x \in V, by the above construction. It follows that the product is also anticommutative on elements of V, for supposing that x, y \in V, hence More generally, if \sigma is a permutation of the integers [1, \dots, k], and x_1, x_2, ..., x_k are elements of V, it follows that where is the signature of the permutation \sigma. In particular, if x_i = x_j for some i \ne j, then the following generalization of the alternating property also holds: Together with the distributive property of the exterior product, one further generalization is that a necessary and sufficient condition for to be a linearly dependent set of vectors is that

Exterior power

The k th exterior power of V, denoted {\textstyle\bigwedge}^{!k}(V), is the vector subspace of {\textstyle\bigwedge}(V) spanned by elements of the form If \alpha \in {\textstyle\bigwedge}^{!k}(V), then \alpha is said to be a '''[[p-vector| k -vector]]'''. If, furthermore, \alpha can be expressed as an exterior product of k elements of V, then \alpha is said to be decomposable (or simple, by some authors; or a blade, by others). Although decomposable k-vectors span {\textstyle\bigwedge}^{!k}(V), not every element of is decomposable. For example, given \mathbf{R}^4 with a basis { e_1, e_2, e_3, e_4 }, the following 2-vector is not decomposable:

Basis and dimension

If the dimension of V is n and is a basis for V, then the set is a basis for {\textstyle\bigwedge}^{!k}(V). The reason is the following: given any exterior product of the form every vector v_j can be written as a linear combination of the basis vectors e_i; using the bilinearity of the exterior product, this can be expanded to a linear combination of exterior products of those basis vectors. Any exterior product in which the same basis vector appears more than once is zero; any exterior product in which the basis vectors do not appear in the proper order can be reordered, changing the sign whenever two basis vectors change places. In general, the resulting coefficients of the basis k-vectors can be computed as the minors of the matrix that describes the vectors v_j in terms of the basis e_i. By counting the basis elements, the dimension of is equal to a binomial coefficient: where n is the dimension of the vectors, and k is the number of vectors in the product. The binomial coefficient produces the correct result, even for exceptional cases; in particular, for k > n. Any element of the exterior algebra can be written as a sum of [[p-vector| k -vector]]s. Hence, as a vector space the exterior algebra is a direct sum (where, by convention, {\textstyle\bigwedge}^{!0}(V) = K, the field underlying V, and {\textstyle\bigwedge}^{!1}(V) = V), and therefore its dimension is equal to the sum of the binomial coefficients, which is 2^n.

Rank of a k-vector

If \alpha \in {\textstyle\bigwedge}^{!k}(V), then it is possible to express \alpha as a linear combination of decomposable [[p-vector| k -vector]]s: where each is decomposable, say The rank of the k -vector \alpha is the minimal number of decomposable k -vectors in such an expansion of \alpha. This is similar to the notion of tensor rank. Rank is particularly important in the study of 2-vectors. The rank of a 2-vector \alpha can be identified with half the rank of the matrix of coefficients of \alpha in a basis. Thus if e_i is a basis for V, then \alpha can be expressed uniquely as where (the matrix of coefficients is skew-symmetric). The rank of the matrix a_{ij} is therefore even, and is twice the rank of the form \alpha. In characteristic 0, the 2-vector \alpha has rank p if and only if

Graded structure

The exterior product of a k -vector with a p -vector is a (k + p)-vector, once again invoking bilinearity. As a consequence, the direct sum decomposition of the preceding section gives the exterior algebra the additional structure of a graded algebra, that is Moreover, if K is the base field, we have The exterior product is graded anticommutative, meaning that if and \beta \in {\textstyle\bigwedge}^{!p}(V), then In addition to studying the graded structure on the exterior algebra, studies additional graded structures on exterior algebras, such as those on the exterior algebra of a graded module (a module that already carries its own gradation).

Universal property

Let V be a vector space over the field K . Informally, multiplication in is performed by manipulating symbols and imposing a distributive law, an associative law, and using the identity for v ∈ V . Formally, is the "most general" algebra in which these rules hold for the multiplication, in the sense that any unital associative K -algebra containing V with alternating multiplication on V must contain a homomorphic image of {\textstyle\bigwedge}(V). In other words, the exterior algebra has the following universal property: Given any unital associative K -algebra A and any K -linear map j : V \to A such that for every v in V , then there exists precisely one unital algebra homomorphism such that j(v) = f(i(v)) for all v in V (here i is the natural inclusion of V in {\textstyle\bigwedge}(V), see above). To construct the most general algebra that contains V and whose multiplication is alternating on V , it is natural to start with the most general associative algebra that contains V , the tensor algebra T(V) , and then enforce the alternating property by taking a suitable quotient. We thus take the two-sided ideal I in T(V) generated by all elements of the form v ⊗ v for v in V , and define as the quotient (and use ∧ as the symbol for multiplication in {\textstyle\bigwedge}(V)). It is then straightforward to show that contains V and satisfies the above universal property. As a consequence of this construction, the operation of assigning to a vector space V its exterior algebra is a functor from the category of vector spaces to the category of algebras. Rather than defining first and then identifying the exterior powers as certain subspaces, one may alternatively define the spaces first and then combine them to form the algebra {\textstyle\bigwedge}(V). This approach is often used in differential geometry and is described in the next section.

Generalizations

Given a commutative ring R and an R-module M, we can define the exterior algebra just as above, as a suitable quotient of the tensor algebra \mathrm{T}(M). It will satisfy the analogous universal property. Many of the properties of also require that M be a projective module. Where finite dimensionality is used, the properties further require that M be finitely generated and projective. Generalizations to the most common situations can be found in. Exterior algebras of vector bundles are frequently considered in geometry and topology. There are no essential differences between the algebraic properties of the exterior algebra of finite-dimensional vector bundles and those of the exterior algebra of finitely generated projective modules, by the Serre–Swan theorem. More general exterior algebras can be defined for sheaves of modules.

Alternating tensor algebra

For a field of characteristic not 2, the exterior algebra of a vector space V over K can be canonically identified with the vector subspace of that consists of antisymmetric tensors. For characteristic 0 (or higher than \dim V), the vector space of k-linear antisymmetric tensors is transversal to the ideal I, hence, a good choice to represent the quotient. But for nonzero characteristic, the vector space of K-linear antisymmetric tensors could be not transversal to the ideal (actually, for k \geq \operatorname{char} K, the vector space of K-linear antisymmetric tensors is contained in I); nevertheless, transversal or not, a product can be defined on this space such that the resulting algebra is isomorphic to the exterior algebra: in the first case the natural choice for the product is just the quotient product (using the available projection), in the second case, this product must be slightly modified as given below (along Arnold setting), but such that the algebra stays isomorphic with the exterior algebra, i.e. the quotient of by the ideal I generated by elements of the form x \otimes x. Of course, for characteristic 0 (or higher than the dimension of the vector space), one or the other definition of the product could be used, as the two algebras are isomorphic (see V. I. Arnold or Kobayashi-Nomizu). Let be the space of homogeneous tensors of degree r. This is spanned by decomposable tensors The antisymmetrization (or sometimes the skew-symmetrization) of a decomposable tensor is defined by and, when r! \neq 0 (for nonzero characteristic field r! might be 0): where the sum is taken over the symmetric group of permutations on the symbols { 1, \dots, r }. This extends by linearity and homogeneity to an operation, also denoted by \mathcal{A} and \rm{Alt}, on the full tensor algebra \mathrm{T}(V). Note that Such that, when defined, is the projection for the exterior (quotient) algebra onto the r-homogeneous alternating tensor subspace. On the other hand, the image is always the alternating tensor graded subspace (not yet an algebra, as product is not yet defined), denoted A(V). This is a vector subspace of \mathrm{T}(V), and it inherits the structure of a graded vector space from that on \mathrm{T}(V). Moreover, the kernel of is precisely I^{(r)}, the homogeneous subset of the ideal I, or the kernel of \mathcal{A} is I. When is defined, A(V) carries an associative graded product defined by (the same as the wedge product) Assuming K has characteristic 0, as A(V) is a supplement of I in \mathrm{T}(V), with the above given product, there is a canonical isomorphism When the characteristic of the field is nonzero, \mathcal{A} will do what \rm{Alt} did before, but the product cannot be defined as above. In such a case, isomorphism still holds, in spite of A(V) not being a supplement of the ideal I, but then, the product should be modified as given below ( product, Arnold setting). Finally, we always get A(V) isomorphic with {\textstyle\bigwedge}(V), but the product could (or should) be chosen in two ways (or only one). Actually, the product could be chosen in many ways, rescaling it on homogeneous spaces as for an arbitrary sequence c(r) in the field, as long as the division makes sense (this is such that the redefined product is also associative, i.e. defines an algebra on A(V)). Also note, the interior product definition should be changed accordingly, in order to keep its skew derivation property.

Index notation

Suppose that V has finite dimension n, and that a basis e1, ..., en of V is given. Then any alternating tensor t ∈ Ar(V) ⊂ Tr(V) can be written in index notation with the Einstein summation convention as where ti1⋅⋅⋅ir is completely antisymmetric in its indices. The exterior product of two alternating tensors t and s of ranks r and p is given by The components of this tensor are precisely the skew part of the components of the tensor product s ⊗ t, denoted by square brackets on the indices: The interior product may also be described in index notation as follows. Let be an antisymmetric tensor of rank r. Then, for α ∈ V∗, \iota_\alpha t is an alternating tensor of rank r - 1, given by where n is the dimension of V.

Duality

Alternating operators

Given two vector spaces V and X and a natural number k, an alternating operator from Vk to X is a multilinear map such that whenever v1, ..., vk are linearly dependent vectors in V, then The map which associates to k vectors from V their exterior product, i.e. their corresponding k-vector, is also alternating. In fact, this map is the "most general" alternating operator defined on V^k; given any other alternating operator there exists a unique linear map with This universal property characterizes the space of alternating operators on V^k and can serve as its definition.

Alternating multilinear forms

[[File:N-form.svg|thumb|upright=0.6|Geometric interpretation for the exterior product of n 1-forms ( ε , η , ω ) to obtain an n -form ("mesh" of coordinate surfaces, here planes), for n = 1, 2, 3 . The "circulations" show orientation. ]] The above discussion specializes to the case when X = K, the base field. In this case an alternating multilinear function is called an alternating multilinear form. The set of all alternating multilinear forms is a vector space, as the sum of two such maps, or the product of such a map with a scalar, is again alternating. By the universal property of the exterior power, the space of alternating forms of degree k on V is naturally isomorphic with the dual vector space \bigl({\textstyle\bigwedge}^{!k}(V)\bigr)^. If V is finite-dimensional, then the latter is to {\textstyle\bigwedge}^{!k}\left(V^\right). In particular, if V is n-dimensional, the dimension of the space of alternating maps from V^k to K is the binomial coefficient \textstyle\binom{n}{k}. Under such identification, the exterior product takes a concrete form: it produces a new anti-symmetric map from two given ones. Suppose ω : Vk → K and η : Vm → K are two anti-symmetric maps. As in the case of tensor products of multilinear maps, the number of variables of their exterior product is the sum of the numbers of their variables. Depending on the choice of identification of elements of exterior power with multilinear forms, the exterior product is defined as or as where, if the characteristic of the base field K is 0, the alternation Alt of a multilinear map is defined to be the average of the sign-adjusted values over all the permutations of its variables: When the field K has finite characteristic, an equivalent version of the second expression without any factorials or any constants is well-defined: where here Shk,m ⊂ Sk+m is the subset of [[(p,q) shuffle| (k, m) shuffles]]: permutations σ of the set such that σ(1) < σ(2) < ⋯ < σ(k), and σ(k + 1) < σ(k + 2) < ... < σ(k + m). As this might look very specific and fine tuned, an equivalent raw version is to sum in the above formula over permutations in left cosets of Sk+m / (Sk × Sm).

Interior product

Suppose that V is finite-dimensional. If V^* denotes the dual space to the vector space V, then for each \alpha \in V^, it is possible to define an antiderivation on the algebra {\textstyle\bigwedge}(V), This derivation is called the interior product with \alpha, or sometimes the insertion operator, or contraction by \alpha. Suppose that w \in {\textstyle\bigwedge}^{!k}(V). Then w is a multilinear mapping of V^ to K, so it is defined by its values on the k -fold Cartesian product V^* \times V^* \times \dots \times V^. If u1, u2, ..., uk−1 are k - 1 elements of V^, then define Additionally, let whenever f is a pure scalar (i.e., belonging to {\textstyle\bigwedge}^{!0}(V)).

Axiomatic characterization and properties

The interior product satisfies the following properties: These three properties are sufficient to characterize the interior product as well as define it in the general infinite-dimensional case. Further properties of the interior product include:

Hodge duality

Suppose that V has finite dimension n. Then the interior product induces a canonical isomorphism of vector spaces by the recursive definition In the geometrical setting, a non-zero element of the top exterior power (which is a one-dimensional vector space) is sometimes called a volume form (or orientation form, although this term may sometimes lead to ambiguity). The name orientation form comes from the fact that a choice of preferred top element determines an orientation of the whole exterior algebra, since it is tantamount to fixing an ordered basis of the vector space. Relative to the preferred volume form \sigma, the isomorphism is given explicitly by If, in addition to a volume form, the vector space V is equipped with an inner product identifying V with V^*, then the resulting isomorphism is called the Hodge star operator, which maps an element to its Hodge dual: The composition of \star with itself maps and is always a scalar multiple of the identity map. In most applications, the volume form is compatible with the inner product in the sense that it is an exterior product of an orthonormal basis of V. In this case, where id is the identity mapping, and the inner product has metric signature (p, q) — p pluses and q minuses.

Inner product

For V a finite-dimensional space, an inner product (or a pseudo-Euclidean inner product) on V defines an isomorphism of V with V^, and so also an isomorphism of with \bigl({\textstyle\bigwedge}^{!k} V\bigr)^. The pairing between these two spaces also takes the form of an inner product. On decomposable k-vectors, the determinant of the matrix of inner products. In the special case vi = wi, the inner product is the square norm of the k-vector, given by the determinant of the Gramian matrix (⟨vi, vj⟩). This is then extended bilinearly (or sesquilinearly in the complex case) to a non-degenerate inner product on If ei, i = 1, 2, ..., n, form an orthonormal basis of V, then the vectors of the form constitute an orthonormal basis for {\textstyle\bigwedge}^{!k}(V), a statement equivalent to the Cauchy–Binet formula. With respect to the inner product, exterior multiplication and the interior product are mutually adjoint. Specifically, for \mathbf{v}\in {\textstyle\bigwedge}^{!k-1}(V), \mathbf{w} \in {\textstyle\bigwedge}^{!k}(V), and x \in V, where x♭ ∈ V∗ is the musical isomorphism, the linear functional defined by for all y \in V. This property completely characterizes the inner product on the exterior algebra. Indeed, more generally for \mathbf{v}\in {\textstyle\bigwedge}^{!k-l}(V), \mathbf{w}\in {\textstyle\bigwedge}^{!k}(V), and \mathbf{x}\in {\textstyle\bigwedge}^{!l}(V), iteration of the above adjoint properties gives where now is the dual l-vector defined by for all \mathbf{y} \in {\textstyle\bigwedge}^{!l}(V).

Bialgebra structure

There is a correspondence between the graded dual of the graded algebra and alternating multilinear forms on V. The exterior algebra (as well as the symmetric algebra) inherits a bialgebra structure, and, indeed, a Hopf algebra structure, from the tensor algebra. See the article on tensor algebras for a detailed treatment of the topic. The exterior product of multilinear forms defined above is dual to a coproduct defined on {\textstyle\bigwedge}(V), giving the structure of a coalgebra. The coproduct is a linear function \Delta : {\textstyle\bigwedge}(V) \to {\textstyle\bigwedge}(V) \otimes {\textstyle\bigwedge}(V), which is given by on elements v \in V. The symbol 1 stands for the unit element of the field K. Recall that K \simeq {\textstyle\bigwedge}^{!0}(V) \subseteq {\textstyle\bigwedge}(V), so that the above really does lie in {\textstyle\bigwedge}(V) \otimes {\textstyle\bigwedge}(V). This definition of the coproduct is lifted to the full space by (linear) homomorphism. The correct form of this homomorphism is not what one might naively write, but has to be the one carefully defined in the coalgebra article. In this case, one obtains Expanding this out in detail, one obtains the following expression on decomposable elements: where the second summation is taken over all [[(p,q) shuffle| (p, k−p) -shuffles]]. By convention, one takes that Sh(k,0) and Sh(0,k) equals {id: {1, ..., k} → {1, ..., k}}. It is also convenient to take the pure wedge products and to equal 1 for p = 0 and p = k, respectively (the empty product in ). The shuffle follows directly from the first axiom of a co-algebra: the relative order of the elements x_k is preserved in the riffle shuffle: the riffle shuffle merely splits the ordered sequence into two ordered sequences, one on the left, and one on the right. Observe that the coproduct preserves the grading of the algebra. Extending to the full space one has The tensor symbol ⊗ used in this section should be understood with some caution: it is not the same tensor symbol as the one being used in the definition of the alternating product. Intuitively, it is perhaps easiest to think it as just another, but different, tensor product: it is still (bi-)linear, as tensor products should be, but it is the product that is appropriate for the definition of a bialgebra, that is, for creating the object {\textstyle\bigwedge}(V) \otimes {\textstyle\bigwedge}(V). Any lingering doubt can be shaken by pondering the equalities (1 ⊗ v) ∧ (1 ⊗ w) = 1 ⊗ (v ∧ w) and (v ⊗ 1) ∧ (1 ⊗ w) = v ⊗ w, which follow from the definition of the coalgebra, as opposed to naive manipulations involving the tensor and wedge symbols. This distinction is developed in greater detail in the article on tensor algebras. Here, there is much less of a problem, in that the alternating product \wedge clearly corresponds to multiplication in the exterior algebra, leaving the symbol \otimes free for use in the definition of the bialgebra. In practice, this presents no particular problem, as long as one avoids the fatal trap of replacing alternating sums of \otimes by the wedge symbol, with one exception. One can construct an alternating product from \otimes, with the understanding that it works in a different space. Immediately below, an example is given: the alternating product for the dual space can be given in terms of the coproduct. The construction of the bialgebra here parallels the construction in the tensor algebra article almost exactly, except for the need to correctly track the alternating signs for the exterior algebra. In terms of the coproduct, the exterior product on the dual space is just the graded dual of the coproduct: where the tensor product on the right-hand side is of multilinear linear maps (extended by zero on elements of incompatible homogeneous degree: more precisely, α ∧ β = ε ∘ (α ⊗ β) ∘ Δ, where \varepsilon is the counit, as defined presently). The counit is the homomorphism that returns the 0-graded component of its argument. The coproduct and counit, along with the exterior product, define the structure of a bialgebra on the exterior algebra. With an antipode defined on homogeneous elements by S(x) = (-1)^{\binom{\text{deg}, x, + 1}{2} }x, the exterior algebra is furthermore a Hopf algebra.

Functoriality

Suppose that V and W are a pair of vector spaces and f : V \to W is a linear map. Then, by the universal property, there exists a unique homomorphism of graded algebras such that In particular, preserves homogeneous degree. The k -graded components of are given on decomposable elements by Let The components of the transformation {\textstyle\bigwedge}^{!k}(f) relative to a basis of V and W is the matrix of k \times k minors of f. In particular, if V = W and V is of finite dimension n, then is a mapping of a one-dimensional vector space to itself, and is therefore given by a scalar: the determinant of f.

Exactness

If is a short exact sequence of vector spaces, then is an exact sequence of graded vector spaces, as is

Direct sums

In particular, the exterior algebra of a direct sum is isomorphic to the tensor product of the exterior algebras: This is a graded isomorphism; i.e., In greater generality, for a short exact sequence of vector spaces there is a natural filtration where F^p for p \geq 1 is spanned by elements of the form for u_i \in U and v_i \in V. The corresponding quotients admit a natural isomorphism In particular, if U is 1-dimensional then is exact, and if W is 1-dimensional then is exact.

Applications

Oriented volume in affine space

The natural setting for (oriented) k-dimensional volume and exterior algebra is affine space. This is also the intimate connection between exterior algebra and differential forms, as to integrate we need a 'differential' object to measure infinitesimal volume. If \mathbb{A} is an affine space over the vector space V, and a (simplex) collection of ordered k+1 points, we can define its oriented k-dimensional volume as the exterior product of vectors (using concatenation PQ to mean the displacement vector from point P to Q); if the order of the points is changed, the oriented volume changes by a sign, according to the parity of the permutation. In n-dimensional space, the volume of any n-dimensional simplex is a scalar multiple of any other. The sum of the (k-1)-dimensional oriented areas of the boundary simplexes of a k-dimensional simplex is zero, as for the sum of vectors around a triangle or the oriented triangles bounding the tetrahedron in the previous section. The vector space structure on generalises addition of vectors in V: we have and similarly a k -blade is linear in each factor.

Linear algebra

In applications to linear algebra, the exterior product provides an abstract algebraic manner for describing the determinant and the minors of a matrix. For instance, it is well known that the determinant of a square matrix is equal to the volume of the parallelotope whose sides are the columns of the matrix (with a sign to track orientation). This suggests that the determinant can be defined in terms of the exterior product of the column vectors. Likewise, the k × k minors of a matrix can be defined by looking at the exterior products of column vectors chosen k at a time. These ideas can be extended not just to matrices but to linear transformations as well: the determinant of a linear transformation is the factor by which it scales the oriented volume of any given reference parallelotope. So the determinant of a linear transformation can be defined in terms of what the transformation does to the top exterior power. The action of a transformation on the lesser exterior powers gives a basis-independent way to talk about the minors of the transformation.

Physics

In physics, many quantities are naturally represented by alternating operators. For example, if the motion of a charged particle is described by velocity and acceleration vectors in four-dimensional spacetime, then normalization of the velocity vector requires that the electromagnetic force must be an alternating operator on the velocity. Its six degrees of freedom are identified with the electric and magnetic fields.

Electromagnetic field

In Einstein's theories of relativity, the electromagnetic field is generally given as a differential 2-form F = dA in 4-space or as the equivalent alternating tensor field the electromagnetic tensor. Then or the equivalent Bianchi identity None of this requires a metric. Adding the Lorentz metric and an orientation provides the Hodge star operator \star and thus makes it possible to define or the equivalent tensor divergence where

Linear geometry

The decomposable k -vectors have geometric interpretations: the bivector u \wedge v represents the plane spanned by the vectors, "weighted" with a number, given by the area of the oriented parallelogram with sides u and v. Analogously, the 3-vector represents the spanned 3-space weighted by the volume of the oriented parallelepiped with edges u, v, and w.

Projective geometry

Decomposable k -vectors in correspond to weighted k -dimensional linear subspaces of V. In particular, the Grassmannian of k -dimensional subspaces of V, denoted \operatorname{Gr}_k(V), can be naturally identified with an algebraic subvariety of the projective space. This is called the Plücker embedding, and the image of the embedding can be characterized by the Plücker relations.

Differential geometry

The exterior algebra has notable applications in differential geometry, where it is used to define differential forms. Differential forms are mathematical objects that evaluate the length of vectors, areas of parallelograms, and volumes of higher-dimensional bodies, so they can be integrated over curves, surfaces and higher dimensional manifolds in a way that generalizes the line integrals and surface integrals from calculus. A differential form at a point of a differentiable manifold is an alternating multilinear form on the tangent space at the point. Equivalently, a differential form of degree k is a linear functional on the k th exterior power of the tangent space. As a consequence, the exterior product of multilinear forms defines a natural exterior product for differential forms. Differential forms play a major role in diverse areas of differential geometry. An alternate approach defines differential forms in terms of germs of functions. In particular, the exterior derivative gives the exterior algebra of differential forms on a manifold the structure of a differential graded algebra. The exterior derivative commutes with pullback along smooth mappings between manifolds, and it is therefore a natural differential operator. The exterior algebra of differential forms, equipped with the exterior derivative, is a cochain complex whose cohomology is called the de Rham cohomology of the underlying manifold and plays a vital role in the algebraic topology of differentiable manifolds.

Representation theory

In representation theory, the exterior algebra is one of the two fundamental Schur functors on the category of vector spaces, the other being the symmetric algebra. Together, these constructions are used to generate the irreducible representations of the general linear group (see Fundamental representation).

Superspace

The exterior algebra over the complex numbers is the archetypal example of a superalgebra, which plays a fundamental role in physical theories pertaining to fermions and supersymmetry. A single element of the exterior algebra is called a supernumber or Grassmann number. The exterior algebra itself is then just a one-dimensional superspace: it is just the set of all of the points in the exterior algebra. The topology on this space is essentially the weak topology, the open sets being the cylinder sets. An n -dimensional superspace is just the n-fold product of exterior algebras.

Lie algebra homology

Let L be a Lie algebra over a field K, then it is possible to define the structure of a chain complex on the exterior algebra of L. This is a K-linear mapping defined on decomposable elements by The Jacobi identity holds if and only if \partial\partial = 0, and so this is a necessary and sufficient condition for an anticommutative nonassociative algebra L to be a Lie algebra. Moreover, in that case is a chain complex with boundary operator \partial. The homology associated to this complex is the Lie algebra homology.

Homological algebra

The exterior algebra is the main ingredient in the construction of the Koszul complex, a fundamental object in homological algebra.

History

The exterior algebra was first introduced by Hermann Grassmann in 1844 under the blanket term of Ausdehnungslehre, or Theory of Extension. This referred more generally to an algebraic (or axiomatic) theory of extended quantities and was one of the early precursors to the modern notion of a vector space. Saint-Venant also published similar ideas of exterior calculus for which he claimed priority over Grassmann. The algebra itself was built from a set of rules, or axioms, capturing the formal aspects of Cayley and Sylvester's theory of multivectors. It was thus a calculus, much like the propositional calculus, except focused exclusively on the task of formal reasoning in geometrical terms. In particular, this new development allowed for an axiomatic characterization of dimension, a property that had previously only been examined from the coordinate point of view. The import of this new theory of vectors and multivectors was lost to mid-19th-century mathematicians, until being thoroughly vetted by Giuseppe Peano in 1888. Peano's work also remained somewhat obscure until the turn of the century, when the subject was unified by members of the French geometry school (notably Henri Poincaré, Élie Cartan, and Gaston Darboux) who applied Grassmann's ideas to the calculus of differential forms. A short while later, Alfred North Whitehead, borrowing from the ideas of Peano and Grassmann, introduced his universal algebra. This then paved the way for the 20th-century developments of abstract algebra by placing the axiomatic notion of an algebraic system on a firm logical footing.

Mathematical references

Historical references

Other references and further reading