Английская Википедия:Exterior algebra

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Шаблон:Multiple image In mathematics, the exterior product or wedge product of vectors is an algebraic construction used in geometry to study areas, volumes, and their higher-dimensional analogs. The exterior product of two vectors u and v, denoted by Шаблон:Nowrap, is called a bivector and lives in a space called the exterior square, a vector space that is distinct from the original space of vectors. The magnitude of Шаблон:Nowrap can be interpreted as the area of the parallelogram with sides u and v, which in three dimensions can also be computed using the cross product of the two vectors. Like the cross product, the exterior product is anticommutative, meaning that Шаблон:Nowrap for all vectors u and v, but, unlike the cross product, the exterior product is associative. One way to visualize a bivector is as a family of parallelograms all lying in the same plane, having the same area and orientation, which is a choice of rotational direction within the plane (clockwise or counterclockwise from some view).

When regarded in this manner, the exterior product of two vectors is called a 2-blade. More generally, the exterior product of any number k of vectors can be defined and is sometimes called a k-blade. It lives in a space known as the kth exterior power. The magnitude of the resulting k-blade is the volume of the k-dimensional parallelotope whose edges are the given vectors, just as the magnitude of the scalar triple product of vectors in three dimensions gives the volume of the parallelepiped generated by those vectors.

The exterior algebra, or Grassmann algebra after Hermann Grassmann, is the algebraic system whose product is the exterior product. The exterior algebra provides an algebraic setting in which to answer geometric questions. For instance, blades have a concrete geometric interpretation, and objects in the exterior algebra can be manipulated according to a set of unambiguous rules. The exterior algebra contains objects that are not only k-blades, but sums of k-blades; such a sum is called a k-vector. The k-blades, because they are simple products of vectors, are called the simple elements of the algebra. The rank of any k-vector is defined to be the smallest number of simple elements of which it is a sum. The exterior product extends to the full exterior algebra, so that it makes sense to multiply any two elements of the algebra. Equipped with this product, the exterior algebra is an associative algebra, which means that Шаблон:Nowrap for any elements α, β, γ. The k-vectors have degree k, meaning that they are sums of products of k vectors. When elements of different degrees are multiplied, the degrees add like multiplication of polynomials. This means that the exterior algebra is a graded algebra.

The definition of the exterior algebra makes sense for spaces not just of geometric vectors, but of other vector-like objects such as vector fields or functions. In full generality, the exterior algebra can be defined for modules over a commutative ring, and for other structures of interest in abstract algebra. It is one of these more general constructions where the exterior algebra finds one of its most important applications, where it appears as the algebra of differential forms that is fundamental in areas that use differential geometry. Differential forms are mathematical objects that represent areas of infinitesimal parallelograms (and higher-dimensional bodies), and so can be integrated over surfaces and higher dimensional manifolds in a way that generalizes the line integrals from calculus. The exterior algebra also has many algebraic properties that make it a convenient tool in algebra itself. The association of the exterior algebra to a vector space is a type of functor on vector spaces, which means that it is compatible with the linear transformations of vector spaces. The exterior algebra is one example of a bialgebra, meaning that its dual space also possesses a product, and this dual product is compatible with the exterior product. This dual algebra is the algebra of alternating multilinear forms, and the pairing between the exterior algebra and its dual is given by the interior product.

Motivating examples

The first two examples assume a metric tensor field and an orientation; the third example does not assume either.

Areas in the plane

Файл:Area parallellogram as determinant.svg

The area of a parallelogram in terms of the determinant of the matrix of coordinates of two of its vertices.

The two-dimensional Euclidean vector space <math> \mathbf{R}^2 </math> is a real vector space equipped with a basis consisting of a pair of unit vectors

<math>

{\mathbf e}_1 = \begin{bmatrix}1\\0\end{bmatrix},\quad {\mathbf e}_2 = \begin{bmatrix}0\\1\end{bmatrix}, </math> with the orientation given by the ordering Шаблон:Tmath and with the metric Шаблон:Tmath.

Suppose that

<math>\mathbf{v} = \begin{bmatrix}a\\b\end{bmatrix}

= a \mathbf{e}_1 + b \mathbf{e}_2, \quad \mathbf{w} = \begin{bmatrix}c\\d\end{bmatrix} = c \mathbf{e}_1 + d \mathbf{e}_2 </math> are a pair of given vectors in Шаблон:Tmath, written in components. There is a unique parallelogram having <math>\mathbf{v}</math> and <math>\mathbf{w}</math> as two of its sides. The area of this parallelogram is given by the standard determinant formula:

<math>

\text{Area} = \Bigl| \det \begin{bmatrix} \mathbf{v} & \mathbf{w} \end{bmatrix} \Bigr| = \Biggl| \det \begin{bmatrix} a & c \\ b & d \end{bmatrix} \Biggr| = \left| ad - bc \right| . </math>

Consider now the exterior product of <math>\mathbf{v}</math> and Шаблон:Tmath:

<math>\begin{align}

\mathbf{v} \wedge \mathbf{w} &= (a\mathbf{e}_1 + b\mathbf{e}_2) \wedge (c\mathbf{e}_1 + d\mathbf{e}_2) \\ &= ac\mathbf{e}_1 \wedge \mathbf{e}_1 + ad\mathbf{e}_1 \wedge \mathbf{e}_2 + bc\mathbf{e}_2 \wedge \mathbf{e}_1 + bd\mathbf{e}_2 \wedge \mathbf{e}_2 \\ &= \left( ad - bc \right)\mathbf{e}_1 \wedge \mathbf{e}_2 \end{align}</math> 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 <math>\mathbf{e}_2 \wedge \mathbf{e}_1 = -(\mathbf{e}_1 \wedge \mathbf{e}_2).</math> (The fact that the exterior product is an alternating map also forces <math> \mathbf{e}_1 \wedge \mathbf{e}_1 = \mathbf{e}_2 \wedge \mathbf{e}_2 = 0.</math>) Note that the coefficient in this last expression is precisely the determinant of the matrix Шаблон:Nowrap. 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 Шаблон:Nowrap 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:

1. Шаблон:Nowrap for any real numbers r and s, since rescaling either of the sides rescales the area by the same amount (and reversing the direction of one of the sides reverses the orientation of the parallelogram).
2. Шаблон:Nowrap, since the area of the degenerate parallelogram determined by v (i.e., a line segment) is zero.
3. Шаблон:Nowrap, since interchanging the roles of v and w reverses the orientation of the parallelogram.
4. Шаблон:Nowrap for any real number r, since adding a multiple of w to v affects neither the base nor the height of the parallelogram and consequently preserves its area.
5. Шаблон:Nowrap, since the area of the unit square is one.

Файл:Exterior calc cross product.svg

The cross product (blue vector) in relation to the exterior product (light blue parallelogram). The length of the cross product is to the length of the parallel unit vector (red) as the size of the exterior product is to the size of the reference parallelogram (light red).

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

Файл:Exterior calc cross product.svg

The cross product (blue vector) in relation to the exterior product (light blue parallelogram). The length of the cross product is to the length of the parallel unit vector (red) as the size of the exterior product is to the size of the reference parallelogram (light red).

For vectors in R³, the exterior algebra is closely related to the cross product and triple product. Using the standard basis Шаблон:Nowrap, the exterior product of a pair of vectors

<math> \mathbf{u} = u_1 \mathbf{e}_1 + u_2 \mathbf{e}_2 + u_3 \mathbf{e}_3 </math>

and

<math> \mathbf{v} = v_1 \mathbf{e}_1 + v_2 \mathbf{e}_2 + v_3 \mathbf{e}_3 </math>

is

<math> \mathbf{u} \wedge \mathbf{v} = (u_1 v_2 - u_2 v_1) (\mathbf{e}_1 \wedge \mathbf{e}_2) + (u_3 v_1 - u_1 v_3) (\mathbf{e}_3 \wedge \mathbf{e}_1) + (u_2 v_3 - u_3 v_2) (\mathbf{e}_2 \wedge \mathbf{e}_3) </math>

where Шаблон:Mset 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 2-vector.

Bringing in a third vector

<math> \mathbf{w} = w_1 \mathbf{e}_1 + w_2 \mathbf{e}_2 + w_3 \mathbf{e}_3, </math>

the exterior product of three vectors is

<math> \mathbf{u} \wedge \mathbf{v} \wedge \mathbf{w} = (u_1 v_2 w_3 + u_2 v_3 w_1 + u_3 v_1 w_2 - u_1 v_3 w_2 - u_2 v_1 w_3 - u_3 v_2 w_1) (\mathbf{e}_1 \wedge \mathbf{e}_2 \wedge \mathbf{e}_3) </math>

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 Шаблон:Nowrap 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 Λ(V) of a vector space V over a field K is defined as the quotient algebra of the tensor algebra by the two-sided ideal I generated by all elements of the form Шаблон:Nowrap such that Шаблон:Nowrap. Symbolically,

<math>\Lambda(V) := T(V)/I.\, </math>

The exterior product ∧ of two elements of Λ(V) is defined by

<math>\alpha\wedge\beta = \alpha\otimes\beta \pmod I.</math>

Algebraic properties

Alternating product

The exterior product is by construction alternating on elements of Шаблон:Tmath, which means that <math> x \wedge x = 0 </math> for all <math> x \in V, </math> by the above construction. It follows that the product is also anticommutative on elements of Шаблон:Tmath, for supposing that Шаблон:Tmath,

<math>

0 = (x + y) \wedge (x + y) = x \wedge x + x \wedge y + y \wedge x + y \wedge y = x \wedge y + y \wedge x </math> hence

<math> x \wedge y = -(y \wedge x). </math>

More generally, if <math>\sigma</math> is a permutation of the integers Шаблон:Tmath, and Шаблон:Tmath, Шаблон:Tmath, ..., Шаблон:Tmath are elements of Шаблон:Tmath, it follows that

<math>

x_{\sigma(1)} \wedge x_{\sigma(2)} \wedge \cdots \wedge x_{\sigma(k)} = \sgn(\sigma)x_1 \wedge x_2 \wedge \cdots \wedge x_k, </math> where <math>\sgn(\sigma)</math> is the signature of the permutation Шаблон:Tmath.

In particular, if <math>x_i = x_j</math> for some Шаблон:Tmath, then the following generalization of the alternating property also holds:

<math> x_{1} \wedge x_{2} \wedge \cdots \wedge x_{k} = 0. </math>

Together with the distributive property of the exterior product, one further generalization is that a necessary and sufficient condition for <math> \{ x_{1}, x_{2}, \dots, x_{k} \} </math> to be a linearly dependent set of vectors is that

<math> x_{1} \wedge x_{2} \wedge \cdots \wedge x_{k} = 0. </math>

Exterior power

The Шаблон:Mathth exterior power of Шаблон:Tmath, denoted Шаблон:Tmath, is the vector subspace of Шаблон:Tmath spanned by elements of the form

<math>x_1 \wedge x_2 \wedge \cdots \wedge x_k,\quad x_i \in V, i=1,2, \dots, k .</math>

If Шаблон:Tmath, then <math>\alpha</math> is said to be a [[p-vector|Шаблон:Math-vector]]. If, furthermore, <math>\alpha</math> can be expressed as an exterior product of <math>k</math> elements of Шаблон:Tmath, then <math>\alpha</math> is said to be decomposable (or simple, by some authors; or a blade, by others). Although decomposable Шаблон:Tmath-vectors span Шаблон:Tmath, not every element of <math>{\textstyle\bigwedge}^{\!k}(V)</math> is decomposable. For example, given Шаблон:Tmath with a basis Шаблон:Tmath, the following 2-vector is not decomposable:

<math> \alpha = e_1 \wedge e_2 + e_3 \wedge e_4. </math>

Basis and dimension

If the dimension of <math>V</math> is <math>n</math> and <math>\{e_1,\dots,e_n\}</math> is a basis for <math>V</math>, then the set

<math>

\{\,e_{i_1} \wedge e_{i_2} \wedge \cdots \wedge e_{i_k} ~ \big| ~~ 1 \le i_1 < i_2 < \cdots < i_k \le n \,\} </math> is a basis for Шаблон:Tmath. The reason is the following: given any exterior product of the form

<math> v_1 \wedge \cdots \wedge v_k , </math>

every vector <math>v_j</math> can be written as a linear combination of the basis vectors Шаблон:Tmath; 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 Шаблон:Mvar-vectors can be computed as the minors of the matrix that describes the vectors <math>v_j</math> in terms of the basis Шаблон:Tmath.

By counting the basis elements, the dimension of <math>{\textstyle\bigwedge}^{\!k}(V)</math> is equal to a binomial coefficient:

<math> \dim {\textstyle\bigwedge}^{\!k}(V) = \binom{n}{k} ,</math>

where Шаблон:Tmath is the dimension of the vectors, and Шаблон:Tmath is the number of vectors in the product. The binomial coefficient produces the correct result, even for exceptional cases; in particular, <math>{\textstyle\bigwedge}^{\!k}(V) = \{ 0 \}</math> for Шаблон:Tmath.

Any element of the exterior algebra can be written as a sum of [[p-vector|Шаблон:Math-vector]]s. Hence, as a vector space the exterior algebra is a direct sum

<math>

{\textstyle\bigwedge}(V) = {\textstyle\bigwedge}^{\!0}(V)

 \oplus {\textstyle\bigwedge}^{\!1}(V)
 \oplus {\textstyle\bigwedge}^{\!2}(V)
 \oplus \cdots \oplus {\textstyle\bigwedge}^{\!n}(V)

</math> (where, by convention, Шаблон:Tmath, the field underlying Шаблон:Tmath, and Шаблон:Tmath), and therefore its dimension is equal to the sum of the binomial coefficients, which is Шаблон:Tmath.

Rank of a k-vector

If Шаблон:Tmath, then it is possible to express <math>\alpha</math> as a linear combination of decomposable [[p-vector|Шаблон:Math-vector]]s:

<math> \alpha = \alpha^{(1)} + \alpha^{(2)} + \cdots + \alpha^{(s)} </math>

where each <math>\alpha^{(i)}</math> is decomposable, say

<math>

\alpha^{(i)} = \alpha^{(i)}_1 \wedge \cdots \wedge \alpha^{(i)}_k,\quad i = 1,2,\ldots, s. </math>

The rank of the Шаблон:Math-vector <math>\alpha</math> is the minimal number of decomposable Шаблон:Math-vectors in such an expansion of Шаблон:Tmath. This is similar to the notion of tensor rank.

Rank is particularly important in the study of 2-vectors Шаблон:Harv Шаблон:Harv. The rank of a 2-vector <math>\alpha</math> can be identified with half the rank of the matrix of coefficients of <math>\alpha</math> in a basis. Thus if <math>e_i</math> is a basis for Шаблон:Tmath, then <math>\alpha</math> can be expressed uniquely as

<math> \alpha = \sum_{i,j}a_{ij}e_i \wedge e_j </math>

where <math>a_{ij} = -a_{ji}</math> (the matrix of coefficients is skew-symmetric). The rank of the matrix <math>a_{ij}</math> is therefore even, and is twice the rank of the form <math>\alpha</math>.

In characteristic 0, the 2-vector <math>\alpha</math> has rank <math>p</math> if and only if

<math>

\underset{p}{\underbrace{\alpha \wedge \cdots \wedge \alpha}} \neq 0 \ </math> and <math> \ \underset{p+1}{\underbrace{\alpha \wedge \cdots \wedge \alpha}} = 0. </math>

Graded structure

The exterior product of a Шаблон:Math-vector with a Шаблон:Math-vector is a <math>(k + p)</math>-vector, once again invoking bilinearity. As a consequence, the direct sum decomposition of the preceding section

<math>

{\textstyle\bigwedge}(V) = {\textstyle\bigwedge}^{\!0}(V) \oplus {\textstyle\bigwedge}^{\!1}(V) \oplus {\textstyle\bigwedge}^{\!2}(V) \oplus \cdots \oplus {\textstyle\bigwedge}^{\!n}(V) </math> gives the exterior algebra the additional structure of a graded algebra, that is

<math>

{\textstyle\bigwedge}^{\!k}(V) \wedge {\textstyle\bigwedge}^{\!p}(V) \sub {\textstyle\bigwedge}^{\!k+p}(V). </math>

Moreover, if Шаблон:Math is the base field, we have

<math>

{\textstyle\bigwedge}^{\!0}(V) = K </math> and <math> {\textstyle\bigwedge}^{\!1}(V) = V. </math>

The exterior product is graded anticommutative, meaning that if <math>\alpha \in {\textstyle\bigwedge}^{\!k}(V) </math> and Шаблон:Tmath, then

<math> \alpha \wedge \beta = (-1)^{kp}\beta \wedge \alpha. </math>

In addition to studying the graded structure on the exterior algebra, Шаблон:Harvtxt 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 Шаблон:Math be a vector space over the field Шаблон:Math. Informally, multiplication in <math> {\textstyle\bigwedge}(V) </math> is performed by manipulating symbols and imposing a distributive law, an associative law, and using the identity <math> v \wedge v = 0 </math> for Шаблон:Math. Formally, <math> {\textstyle\bigwedge}(V) </math> is the "most general" algebra in which these rules hold for the multiplication, in the sense that any unital associative Шаблон:Math-algebra containing Шаблон:Math with alternating multiplication on Шаблон:Math must contain a homomorphic image of Шаблон:Tmath. In other words, the exterior algebra has the following universal property:

Given any unital associative Шаблон:Math-algebra Шаблон:Math and any Шаблон:Math-linear map <math> j : V \to A </math> such that <math> j(v)j(v) = 0 </math> for every Шаблон:Math in Шаблон:Math, then there exists precisely one unital algebra homomorphism <math>f : {\textstyle\bigwedge}(V)\to A </math> such that Шаблон:Math for all Шаблон:Math in Шаблон:Math (here Шаблон:Math is the natural inclusion of Шаблон:Math in Шаблон:Tmath, see above).

Universal property of the exterior algebra

Universal property of the exterior algebra

To construct the most general algebra that contains Шаблон:Math and whose multiplication is alternating on Шаблон:Math, it is natural to start with the most general associative algebra that contains Шаблон:Math, the tensor algebra Шаблон:Math, and then enforce the alternating property by taking a suitable quotient. We thus take the two-sided ideal Шаблон:Math in Шаблон:Math generated by all elements of the form Шаблон:Math for Шаблон:Math in Шаблон:Math, and define <math> {\textstyle\bigwedge}(V) </math> as the quotient

<math> {\textstyle\bigwedge}(V) = T(V)\,/\,I</math>

(and use Шаблон:Math as the symbol for multiplication in Шаблон:Tmath). It is then straightforward to show that <math>{\textstyle\bigwedge}(V)</math> contains Шаблон:Math and satisfies the above universal property.

As a consequence of this construction, the operation of assigning to a vector space Шаблон:Math its exterior algebra <math>{\textstyle\bigwedge}(V)</math> is a functor from the category of vector spaces to the category of algebras.

Rather than defining <math>{\textstyle\bigwedge}(V)</math> first and then identifying the exterior powers <math>{\textstyle\bigwedge}^{\!k}(V)</math> as certain subspaces, one may alternatively define the spaces <math>{\textstyle\bigwedge}^{\!k}(V)</math> first and then combine them to form the algebra Шаблон:Tmath. This approach is often used in differential geometry and is described in the next section.

Generalizations

Given a commutative ring <math>R</math> and an <math>R</math>-module Шаблон:Tmath, we can define the exterior algebra <math>{\textstyle\bigwedge}(M)</math> just as above, as a suitable quotient of the tensor algebra Шаблон:Tmath. It will satisfy the analogous universal property. Many of the properties of <math>{\textstyle\bigwedge}(M)</math> also require that <math>M</math> be a projective module. Where finite dimensionality is used, the properties further require that <math>M</math> be finitely generated and projective. Generalizations to the most common situations can be found in Шаблон:Harvtxt.

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 <math>V</math> over <math>K</math> can be canonically identified with the vector subspace of <math>\mathrm{T}(V)</math> that consists of antisymmetric tensors. For characteristic 0 (or higher than Шаблон:Tmath), the vector space of <math>k</math>-linear antisymmetric tensors is transversal to the ideal Шаблон:Tmath, hence, a good choice to represent the quotient. But for nonzero characteristic, the vector space of Шаблон:Tmath-linear antisymmetric tensors could be not transversal to the ideal (actually, for Шаблон:Tmath, the vector space of <math>K</math>-linear antisymmetric tensors is contained in <math>I</math>); 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 <math>\mathrm{T}(V)</math> by the ideal <math>I</math> generated by elements of the form Шаблон:Tmath. Of course, for characteristic Шаблон:Tmath (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 <math>\mathrm{T}^r(V)</math> be the space of homogeneous tensors of degree <math>r</math>. This is spanned by decomposable tensors

<math> v_1 \otimes \cdots \otimes v_r,\quad v_i \in V. </math>

The antisymmetrization (or sometimes the skew-symmetrization) of a decomposable tensor is defined by

<math>

\operatorname{\mathcal{A}^{(r)}}(v_1 \otimes \cdots \otimes v_r) =\sum_{\sigma \in \mathfrak{S}_r} \operatorname{sgn}(\sigma) v_{\sigma(1)} \otimes \cdots \otimes v_{\sigma(r)} </math> and, when <math>r! \neq 0</math> (for nonzero characteristic field <math>r!</math> might be 0):

<math>

\operatorname{Alt}^{(r)}(v_1 \otimes \cdots \otimes v_r) = \frac{1}{r!}\operatorname{\mathcal{A}^{(r)}}(v_1 \otimes \cdots \otimes v_r) </math> where the sum is taken over the symmetric group of permutations on the symbols Шаблон:Tmath. This extends by linearity and homogeneity to an operation, also denoted by <math>\mathcal{A}</math> and <math>\rm{Alt}</math>, on the full tensor algebra Шаблон:Tmath.

Note that

<math>

\operatorname{\mathcal{A}^{(r)}}\operatorname{\mathcal{A}^{(r)}}=r!\operatorname{\mathcal{A}^{(r)}}. </math>

Such that, when defined, <math>\operatorname{Alt}^{(r)} </math> is the projection for the exterior (quotient) algebra onto the r-homogeneous alternating tensor subspace. On the other hand, the image <math>\mathcal{A}(\mathrm{T}(V))</math> is always the alternating tensor graded subspace (not yet an algebra, as product is not yet defined), denoted Шаблон:Tmath. This is a vector subspace of Шаблон:Tmath, and it inherits the structure of a graded vector space from that on Шаблон:Tmath. Moreover, the kernel of <math>\mathcal{A}^{(r)}</math> is precisely Шаблон:Tmath, the homogeneous subset of the ideal Шаблон:Tmath, or the kernel of <math>\mathcal{A}</math> is Шаблон:Tmath. When <math>\operatorname{Alt} </math> is defined, <math>A(V)</math> carries an associative graded product <math> \widehat{\otimes} </math> defined by (the same as the wedge product)

<math>t\wedge s=t~\widehat{\otimes}~s = \operatorname{Alt}(t \otimes s). </math>

Assuming <math>K</math> has characteristic 0, as <math>A(V)</math> is a supplement of <math>I</math> in Шаблон:Tmath, with the above given product, there is a canonical isomorphism

<math> A(V)\cong {\textstyle\bigwedge}(V). </math>

When the characteristic of the field is nonzero, <math>\mathcal{A}</math> will do what <math>\rm{Alt}</math> did before, but the product cannot be defined as above. In such a case, isomorphism <math> A(V)\cong {\textstyle\bigwedge}(V) </math> still holds, in spite of <math> A(V)</math> not being a supplement of the ideal Шаблон:Tmath, but then, the product should be modified as given below (<math> \dot{\wedge}</math> product, Arnold setting).

Finally, we always get Шаблон:Tmath isomorphic with Шаблон:Tmath, 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 <math>c(r+p)/c(r)c(p)</math> for an arbitrary sequence <math>c(r)</math> 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 Шаблон:Tmath). 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 Шаблон:Nowrap of V is given. Then any alternating tensor Шаблон:Nowrap can be written in index notation as

<math>t = t^{i_1i_2\cdots i_r}\, {\mathbf e}_{i_1} \otimes {\mathbf e}_{i_2} \otimes \cdots \otimes {\mathbf e}_{i_r},</math>

where t^{i₁⋅⋅⋅i_r} is completely antisymmetric in its indices.

The exterior product of two alternating tensors t and s of ranks r and p is given by

<math>

t~\widehat{\otimes}~s = \frac{1}{(r+p)!}\sum_{\sigma \in {\mathfrak S}_{r+p}}\operatorname{sgn}(\sigma)t^{i_{\sigma(1)} \cdots i_{\sigma(r)}} s^{i_{\sigma(r+1)} \cdots i_{\sigma(r+p)}} {\mathbf e}_{i_1} \otimes {\mathbf e}_{i_2} \otimes \cdots \otimes {\mathbf e}_{i_{r+p}}. </math>

The components of this tensor are precisely the skew part of the components of the tensor product Шаблон:Nowrap, denoted by square brackets on the indices:

<math>

(t~\widehat{\otimes}~s)^{i_1\cdots i_{r+p}} = t^{[i_1\cdots i_r}s^{i_{r+1}\cdots i_{r+p}]}. </math>

The interior product may also be described in index notation as follows. Let <math> t = t^{i_0i_1\cdots i_{r-1}} </math> be an antisymmetric tensor of rank Шаблон:Tmath. Then, for Шаблон:Nowrap, Шаблон:Tmath is an alternating tensor of rank Шаблон:Tmath, given by

<math>

(i_\alpha t)^{i_1\cdots i_{r-1}} = r\sum_{j=0}^n\alpha_j t^{ji_1\cdots i_{r-1}}. </math> 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 V^k to X is a multilinear map

<math> f : V^k \to X </math>

such that whenever v₁, ..., v_k are linearly dependent vectors in V, then

<math> f(v_1,\ldots, v_k) = 0. </math>

The map

<math> w : V^k \to {\textstyle\bigwedge}^{\!k}(V),</math>

which associates to <math> k </math> vectors from <math> V </math> their exterior product, i.e. their corresponding <math> k </math>-vector, is also alternating. In fact, this map is the "most general" alternating operator defined on <math> V^k; </math> given any other alternating operator <math> f : V^k \rightarrow X, </math> there exists a unique linear map <math> \phi : {\textstyle\bigwedge}^{\!k}(V) \rightarrow X </math> with <math> f = \phi \circ w. </math> This universal property characterizes the space <math> {\textstyle\bigwedge}^{\!k}(V) </math> and can serve as its definition.

Alternating multilinear forms

Файл:N-form.svg

Geometric interpretation for the exterior product of Шаблон:Math 1-forms (Шаблон:Math, Шаблон:Math, Шаблон:Math) to obtain an Шаблон:Math-form ("mesh" of coordinate surfaces, here planes), for Шаблон:Math. The "circulations" show orientation.

The above discussion specializes to the case when Шаблон:Tmath, the base field. In this case an alternating multilinear function

<math> f : V^k \to K</math>

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 <math>k</math> on <math>V</math> is naturally isomorphic with the dual vector space Шаблон:Tmath. If <math>V</math> is finite-dimensional, then the latter is Шаблон:Clarify to Шаблон:Tmath. In particular, if <math>V</math> is <math>n</math>-dimensional, the dimension of the space of alternating maps from <math>V^k</math> to <math>K</math> is the binomial coefficient Шаблон:Tmath.

Under such identification, the exterior product takes a concrete form: it produces a new anti-symmetric map from two given ones. Suppose Шаблон:Nowrap and Шаблон:Nowrap 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

<math> \omega \wedge \eta = \operatorname{Alt}(\omega \otimes \eta) </math>

or as

<math>

\omega \dot{\wedge} \eta = \frac{(k+m)!}{k!\,m!}\operatorname{Alt}(\omega \otimes \eta), </math> where, if the characteristic of the base field <math>K</math> 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:

<math>

\operatorname{Alt}(\omega)(x_1,\ldots,x_k) = \frac{1}{k!}\sum_{\sigma \in S_k}\operatorname{sgn}(\sigma)\, \omega(x_{\sigma(1)}, \ldots, x_{\sigma(k)}). </math>

When the field <math>K</math> has finite characteristic, an equivalent version of the second expression without any factorials or any constants is well-defined:

<math>

{\omega \dot{\wedge} \eta(x_1,\ldots,x_{k+m})} = \sum_{\sigma \in \mathrm{Sh}_{k,m}} \operatorname{sgn}(\sigma)\, \omega(x_{\sigma(1)}, \ldots, x_{\sigma(k)})\, \eta(x_{\sigma(k+1)}, \ldots, x_{\sigma(k+m)}), </math> where here Шаблон:Nowrap is the subset of [[(p,q) shuffle|Шаблон:Math shuffles]]: permutations σ of the set Шаблон:Nowrap such that Шаблон:Nowrap, and Шаблон:Nowrap. 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 Шаблон:Nowrap.

Interior product

Шаблон:See also Suppose that <math>V</math> is finite-dimensional. If <math>V^*</math> denotes the dual space to the vector space Шаблон:Tmath, then for each Шаблон:Tmath, it is possible to define an antiderivation on the algebra Шаблон:Tmath,

<math>

\iota_\alpha : {\textstyle\bigwedge}^{\!k}(V) \rightarrow {\textstyle\bigwedge}^{\!k-1}(V) . </math>

This derivation is called the interior product with Шаблон:Tmath, or sometimes the insertion operator, or contraction by Шаблон:Tmath.

Suppose that Шаблон:Tmath. Then <math>w</math> is a multilinear mapping of <math>V^*</math> to Шаблон:Tmath, so it is defined by its values on the Шаблон:Math-fold Cartesian product Шаблон:Tmath. If u₁, u₂, ..., u_k−1 are <math>k - 1</math> elements of Шаблон:Tmath, then define

<math>

(\iota_\alpha w)(u_1,u_2,\ldots,u_{k-1}) = w(\alpha,u_1,u_2,\ldots, u_{k-1}). </math>

Additionally, let <math>\iota_\alpha f = 0</math> whenever <math>f</math> is a pure scalar (i.e., belonging to Шаблон:Tmath).

Axiomatic characterization and properties

The interior product satisfies the following properties:

1. For each Шаблон:Tmath and each Шаблон:Tmath (where by convention <math>\Lambda^{-1}(V)=\{0\}</math>),

   <math>i_\alpha : {\textstyle\bigwedge}^{\!k}(V) \rightarrow {\textstyle\bigwedge}^{\!k-1}(V) .</math>

2. If <math>v</math> is an element of <math>V</math> (Шаблон:Tmath), then Шаблон:Tmath is the dual pairing between elements of <math>V</math> and elements of Шаблон:Tmath.
3. For each Шаблон:Tmath, <math>\iota_\alpha</math> is a graded derivation of degree −1:

   <math>\iota_\alpha (a \wedge b)

= (\iota_\alpha a) \wedge b + (-1)^{\deg a}a \wedge (\iota_\alpha b). </math>

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:

• <math> \iota_\alpha\circ \iota_\alpha = 0. </math>
• <math> \iota_\alpha\circ \iota_\beta = -\iota_\beta\circ \iota_\alpha. </math>

Hodge duality

Шаблон:Main article Suppose that <math>V</math> has finite dimension Шаблон:Tmath. Then the interior product induces a canonical isomorphism of vector spaces

<math>

{\textstyle\bigwedge}^{\!k}(V^*) \otimes {\textstyle\bigwedge}^{\!n}(V) \to {\textstyle\bigwedge}^{\!n-k}(V) </math> by the recursive definition

<math> \iota_{\alpha \wedge \beta} = \iota_\beta \circ \iota_\alpha. </math>

In the geometrical setting, a non-zero element of the top exterior power <math>{\textstyle\bigwedge}^{\!n}(V)</math> (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 Шаблон:Tmath, the isomorphism is given explicitly by

<math>

{\textstyle\bigwedge}^{\!k}(V^*) \to {\textstyle\bigwedge}^{\!n-k}(V)

\alpha \mapsto \iota_\alpha \sigma .

</math>

If, in addition to a volume form, the vector space V is equipped with an inner product identifying <math>V</math> with Шаблон:Tmath, then the resulting isomorphism is called the Hodge star operator, which maps an element to its Hodge dual:

<math>\star : {\textstyle\bigwedge}^{\!k}(V) \rightarrow {\textstyle\bigwedge}^{\!n-k}(V) .</math>

The composition of <math> \star </math> with itself maps <math>{\textstyle\bigwedge}^{\!k}(V) \to {\textstyle\bigwedge}^{\!k}(V)</math> 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 Шаблон:Tmath. In this case,

<math> \star \circ \star : {\textstyle\bigwedge}^{\!k}(V) \to {\textstyle\bigwedge}^{\!k}(V) = (-1)^{k(n-k) + q}\mathrm{id} </math>

where id is the identity mapping, and the inner product has metric signature Шаблон:Nowrap — p pluses and q minuses.

Inner product

For Шаблон:Tmath a finite-dimensional space, an inner product (or a pseudo-Euclidean inner product) on Шаблон:Tmath defines an isomorphism of <math>V</math> with Шаблон:Tmath, and so also an isomorphism of <math>{\textstyle\bigwedge}^{\!k}(V)</math> with Шаблон:Tmath. The pairing between these two spaces also takes the form of an inner product. On decomposable Шаблон:Tmath-vectors,

<math>

\left\langle v_1 \wedge \cdots \wedge v_k, w_1 \wedge \cdots \wedge w_k\right\rangle = \det\bigl(\langle v_i,w_j\rangle\bigr), </math>

the determinant of the matrix of inner products. In the special case Шаблон:Nowrap, the inner product is the square norm of the k-vector, given by the determinant of the Gramian matrix Шаблон:Nowrap. This is then extended bilinearly (or sesquilinearly in the complex case) to a non-degenerate inner product on <math>{\textstyle\bigwedge}^{\!k}(V). </math> If e_i, Шаблон:Nowrap, form an orthonormal basis of Шаблон:Tmath, then the vectors of the form

<math> e_{i_1} \wedge \cdots \wedge e_{i_k},\quad i_1 < \cdots < i_k, </math>

constitute an orthonormal basis for Шаблон:Tmath, 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 Шаблон:Tmath, Шаблон:Tmath, and Шаблон:Tmath,

<math>

\langle x \wedge \mathbf{v}, \mathbf{w}\rangle = \langle \mathbf{v}, \iota_{x^\flat}\mathbf{w}\rangle </math> where Шаблон:Nowrap is the musical isomorphism, the linear functional defined by

<math> x^\flat(y) = \langle x, y\rangle </math>

for all Шаблон:Tmath. This property completely characterizes the inner product on the exterior algebra.

Indeed, more generally for Шаблон:Tmath, Шаблон:Tmath, and Шаблон:Tmath, iteration of the above adjoint properties gives

<math>

\langle \mathbf{x} \wedge \mathbf{v}, \mathbf{w}\rangle = \langle \mathbf{v}, \iota_{\mathbf{x}^\flat}\mathbf{w}\rangle </math> where now <math>x^\flat \in {\textstyle\bigwedge}^{\!l}\left(V^*\right) \simeq \bigl({\textstyle\bigwedge}^{\!l}(V)\bigr)^* </math> is the dual Шаблон:Tmath-vector defined by

<math>

\mathbf{x}^\flat(\mathbf{y}) = \langle \mathbf{x}, \mathbf{y}\rangle </math> for all Шаблон:Tmath.

Bialgebra structure

There is a correspondence between the graded dual of the graded algebra <math>{\textstyle\bigwedge}(V)</math> and alternating multilinear forms on Шаблон:Tmath. 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 Шаблон:Tmath, giving the structure of a coalgebra. The coproduct is a linear function Шаблон:Tmath, which is given by

<math> \Delta(v) = 1 \otimes v + v \otimes 1 </math>

on elements Шаблон:Tmath. The symbol <math>1</math> stands for the unit element of the field Шаблон:Tmath. Recall that Шаблон:Tmath, so that the above really does lie in Шаблон:Tmath. This definition of the coproduct is lifted to the full space <math>{\textstyle\bigwedge}(V)</math> 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

<math> \Delta(v \wedge w) = 1 \otimes (v \wedge w) + v \otimes w - w \otimes v + (v \wedge w) \otimes 1 .</math>

Expanding this out in detail, one obtains the following expression on decomposable elements:

<math>

\Delta(x_1 \wedge \cdots \wedge x_k) = \sum_{p=0}^k \; \sum_{\sigma \in Sh(p+1,k-p)} \; \operatorname{sgn}(\sigma) (x_{\sigma(0)} \wedge \cdots \wedge x_{\sigma(p)}) \otimes (x_{\sigma(p+1)} \wedge \cdots \wedge x_{\sigma(k)}). </math> where the second summation is taken over all [[(p,q) shuffle|Шаблон:Math-shuffles]]. The above is written with a notational trick, to keep track of the field element Шаблон:Tmath: the trick is to write Шаблон:Tmath, and this is shuffled into various locations during the expansion of the sum over shuffles. The shuffle follows directly from the first axiom of a co-algebra: the relative order of the elements <math>x_k</math> 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 <math display=inline> {\textstyle\bigwedge}(V), </math> one has

<math>

\Delta : {\textstyle\bigwedge}^k(V) \to \bigoplus_{p=0}^k {\textstyle\bigwedge}^p(V) \otimes {\textstyle\bigwedge}^{k-p}(V) </math>

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 Шаблон:Tmath. Any lingering doubt can be shaken by pondering the equalities Шаблон:Nowrap and Шаблон:Nowrap, 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 <math>\wedge</math> clearly corresponds to multiplication in the bialgebra, leaving the symbol <math>\otimes</math> 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 <math>\otimes</math> by the wedge symbol, with one exception. One can construct an alternating product from Шаблон:Tmath, 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:

<math>

(\alpha \wedge \beta)(x_1 \wedge \cdots \wedge x_k) = (\alpha \otimes \beta)\left(\Delta(x_1 \wedge \cdots \wedge x_k)\right) </math>

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, Шаблон:Nowrap, where <math>\varepsilon</math> is the counit, as defined presently).

The counit is the homomorphism <math>\varepsilon : {\textstyle\bigwedge}(V) \to K</math> 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 Шаблон:Tmath, the exterior algebra is furthermore a Hopf algebra.

Functoriality

Suppose that <math>V</math> and <math>W</math> are a pair of vector spaces and <math>f : V \to W</math> is a linear map. Then, by the universal property, there exists a unique homomorphism of graded algebras

<math>{\textstyle\bigwedge}(f) : {\textstyle\bigwedge}(V)\rightarrow {\textstyle\bigwedge}(W)</math>

such that

<math>

{\textstyle\bigwedge}(f)\left|_{{\textstyle\bigwedge}^{\!1}(V)}\right. = f : V={\textstyle\bigwedge}^{\!1}(V)\rightarrow W={\textstyle\bigwedge}^{\!1}(W). </math>

In particular, <math>{\textstyle\bigwedge}(f)</math> preserves homogeneous degree. The Шаблон:Math-graded components of <math display=inline> \bigwedge\left(f\right) </math> are given on decomposable elements by

<math>

{\textstyle\bigwedge}(f)(x_1 \wedge \cdots \wedge x_k) = f(x_1) \wedge \cdots \wedge f(x_k). </math>

Let

<math>

{\textstyle\bigwedge}^{\!k}(f) = {\textstyle\bigwedge} (f)\left|_{{\textstyle\bigwedge}^{\!k}(V)}\right.

{\textstyle\bigwedge}^{\!k}(V) \rightarrow {\textstyle\bigwedge}^{\!k}(W).

</math>

The components of the transformation Шаблон:Tmath relative to a basis of <math>V</math> and <math>W</math> is the matrix of <math>k \times k</math> minors of Шаблон:Tmath. In particular, if <math>V = W</math> and <math>V</math> is of finite dimension Шаблон:Tmath, then <math>{\textstyle\bigwedge}^{\!n}(f) </math> is a mapping of a one-dimensional vector space <math>{\textstyle\bigwedge}^{\!n}(V)</math> to itself, and is therefore given by a scalar: the determinant of Шаблон:Tmath.

Exactness

If <math> 0 \to U \to V \to W \to 0 </math> is a short exact sequence of vector spaces, then

<math>

0 \to {\textstyle\bigwedge}^{\!1}(U) \wedge {\textstyle\bigwedge}(V) \to {\textstyle\bigwedge}(V) \to {\textstyle\bigwedge}(W) \to 0 </math>

is an exact sequence of graded vector spaces, as is

<math>0 \to {\textstyle\bigwedge}(U) \to {\textstyle\bigwedge}(V).

</math>

Direct sums

In particular, the exterior algebra of a direct sum is isomorphic to the tensor product of the exterior algebras:

<math>

{\textstyle\bigwedge}(V \oplus W) \cong {\textstyle\bigwedge}(V) \otimes {\textstyle\bigwedge}(W). </math>

This is a graded isomorphism; i.e.,

<math>

{\textstyle\bigwedge}^{\!k}(V \oplus W) \cong \bigoplus_{p+q=k} {\textstyle\bigwedge}^{\!p}(V) \otimes {\textstyle\bigwedge}^{\!q}(W). </math>

In greater generality, for a short exact sequence of vector spaces <math display=inline> 0 \to U \mathrel{\overset{f}\to} V \mathrel{\overset{g}\to} W \to 0, </math> there is a natural filtration

<math>

0 = F^0 \subseteq F^1 \subseteq \cdots \subseteq F^k \subseteq F^{k+1} = {\textstyle\bigwedge}^{\!k}(V) </math> where <math> F^p </math> for <math> p \geq 1 </math> is spanned by elements of the form <math> u_1 \wedge \ldots \wedge u_{k + 1-p} \wedge v_1 \wedge \ldots v_{p - 1} </math> for <math> u_i \in U </math> and <math> v_i \in V. </math> The corresponding quotients admit a natural isomorphism

<math>

F^{p+1}/F^p \cong {\textstyle\bigwedge}^{\!k-p}(U) \otimes {\textstyle\bigwedge}^{\!p}(W) </math> given by <math> u_1 \wedge \ldots \wedge u_{k -p} \wedge v_1 \wedge \ldots \wedge v_{p} \mapsto u_1 \wedge \ldots \wedge u_{k-p} \otimes g(v_1) \wedge \ldots \wedge g(v_{p}). </math>

In particular, if U is 1-dimensional then

<math>

0 \to U \otimes {\textstyle\bigwedge}^{\!k-1}(W) \to {\textstyle\bigwedge}^{\!k}(V) \to {\textstyle\bigwedge}^{\!k}(W) \to 0 </math> is exact, and if W is 1-dimensional then

<math>

0 \to {\textstyle\bigwedge}^k(U) \to {\textstyle\bigwedge}^{\!k}(V) \to {\textstyle\bigwedge}^{\!k-1}(U) \otimes W \to 0 </math> is exact.

Applications

Oriented volume in affine space

The natural setting for (oriented) <math>k</math>-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 <math> \mathbb{A}</math> is an affine space over the vector space Шаблон:Tmath, and a (simplex) collection of ordered <math>k+1</math> points <math> A_0, A_1, ... , A_k</math>, we can define its oriented <math>k</math>-dimensional volume as the exterior product of vectors <math> A_0A_1\wedge A_0A_2\wedge \cdots\wedge A_0A_k ={}</math> <math>(-1)^jA_jA_0\wedge A_jA_1\wedge A_jA_2\wedge \cdots\wedge A_jA_k</math> (using concatenation <math>PQ</math> to mean the displacement vector from point <math>P</math> to <math>Q</math>); if the order of the points is changed, the oriented volume changes by a sign, according to the parity of the permutation. In Шаблон:Tmath-dimensional space, the volume of any <math>n</math>-dimensional simplex is a scalar multiple of any other.

The sum of the <math>(k-1)</math>-dimensional oriented areas of the boundary simplexes of a Шаблон:Tmath-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 <math>{\textstyle\bigwedge}(V)</math> generalises addition of vectors in Шаблон:Tmath: we have <math>(u_1 + u_2) \wedge v = u_1 \wedge v + u_2 \wedge v</math> and similarly a Шаблон:Math-blade <math>v_1 \wedge \dots \wedge v_k</math> 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 Шаблон:Math minors of a matrix can be defined by looking at the exterior products of column vectors chosen Шаблон:Math 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

Шаблон:Main 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 <math> F = dA </math> in 4-space or as the equivalent alternating tensor field <math> F_{ij} = A_{[i,j]} = A_{[i;j]}, </math> the electromagnetic tensor. Then <math> dF = ddA = 0 </math> or the equivalent Bianchi identity <math> F_{[ij,k]} = F_{[ij;k]} = 0. </math> None of this requires a metric.

Adding the Lorentz metric and an orientation provides the Hodge star operator <math> \star </math> and thus makes it possible to define <math> J = {\star}d{\star}F </math> or the equivalent tensor divergence <math> J^i = F^{ij}_{,j} = F^{ij}_{;j} </math> where <math> F^{ij} = g^{ik}g^{jl}F_{kl}. </math>

Linear geometry

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

Projective geometry

Decomposable Шаблон:Math-vectors in <math>{\textstyle\bigwedge}^{\!k}(V)</math> correspond to weighted Шаблон:Math-dimensional linear subspaces of Шаблон:Tmath. In particular, the Grassmannian of Шаблон:Math-dimensional subspaces of Шаблон:Tmath, denoted Шаблон:Tmath, can be naturally identified with an algebraic subvariety of the projective space Шаблон:Nowrap. 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 Шаблон:Math is a linear functional on the Шаблон:Mathth 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 Шаблон:Math-dimensional superspace is just the Шаблон:Tmath-fold product of exterior algebras.

Lie algebra homology

Let <math>L</math> be a Lie algebra over a field Шаблон:Tmath, then it is possible to define the structure of a chain complex on the exterior algebra of Шаблон:Tmath. This is a Шаблон:Tmath-linear mapping

<math>

\partial : {\textstyle\bigwedge}^{\!p+1}(L) \to {\textstyle\bigwedge}^{\!p}(L) </math> defined on decomposable elements by

<math>

\partial (x_1 \wedge \cdots \wedge x_{p+1}) = \frac{1}{p+1}\sum_{j<\ell}(-1)^{j+\ell+1}[x_j,x_\ell] \wedge x_1 \wedge \cdots \wedge \hat{x}_j \wedge \cdots \wedge \hat{x}_\ell \wedge \cdots \wedge x_{p+1}. </math>

The Jacobi identity holds if and only if Шаблон:Tmath, and so this is a necessary and sufficient condition for an anticommutative nonassociative algebra <math>L</math> to be a Lie algebra. Moreover, in that case <math display=inline>{\textstyle\bigwedge}(L) </math> is a chain complex with boundary operator Шаблон:Tmath. 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.

See also

• Alternating algebra
• Exterior calculus identities
• Clifford algebra, a generalization of exterior algebra to a nonzero quadratic form
• Geometric algebra
• Koszul complex
• Multilinear algebra
• Symmetric algebra, the symmetric analog
• Tensor algebra
• Weyl algebra, a quantum deformation of the symmetric algebra by a symplectic form

References

Mathematical references

• Шаблон:Citation

  Includes a treatment of alternating tensors and alternating forms, as well as a detailed discussion of Hodge duality from the perspective adopted in this article.

• Шаблон:Citation

  This is the main mathematical reference for the article. It introduces the exterior algebra of a module over a commutative ring (although this article specializes primarily to the case when the ring is a field), including a discussion of the universal property, functoriality, duality, and the bialgebra structure. See §III.7 and §III.11.

• Шаблон:Citation

  This book contains applications of exterior algebras to problems in partial differential equations. Rank and related concepts are developed in the early chapters.

• Шаблон:Citation

  Chapter XVI sections 6–10 give a more elementary account of the exterior algebra, including duality, determinants and minors, and alternating forms.

• Шаблон:Citation

  Contains a classical treatment of the exterior algebra as alternating tensors, and applications to differential geometry.

Historical references

• Шаблон:Wikicite
• Шаблон:Citation
• Шаблон:Citation
• Шаблон:Citation (The Linear Extension Theory – A new Branch of Mathematics) alternative reference
• Шаблон:Citation
• Шаблон:Citation; Шаблон:Citation.
• Шаблон:Citation

Other references and further reading

• Шаблон:Citation

  An introduction to the exterior algebra, and geometric algebra, with a focus on applications. Also includes a history section and bibliography.

• Шаблон:Citation

  Includes applications of the exterior algebra to differential forms, specifically focused on integration and Stokes's theorem. The notation <math display=inline>{\textstyle\bigwedge}^{\!k} V </math> in this text is used to mean the space of alternating k-forms on V; i.e., for Spivak <math display=inline>{\textstyle\bigwedge}^{\!k} V </math> is what this article would call <math display=inline>{\textstyle\bigwedge}^{\!k} V^*. </math> Spivak discusses this in Addendum 4.

• Шаблон:Citation

  Includes an elementary treatment of the axiomatization of determinants as signed areas, volumes, and higher-dimensional volumes.

• Шаблон:Springer
• Шаблон:Citation

  This textbook in multivariate calculus introduces the exterior algebra of differential forms adroitly into the calculus sequence for colleges.

• Шаблон:Cite book

  Chapter 10: The Exterior Product and Exterior Algebras

• "The Grassmann method in projective geometry" A compilation of English translations of three notes by Cesare Burali-Forti on the application of exterior algebra to projective geometry
• C. Burali-Forti, "Introduction to Differential Geometry, following the method of H. Grassmann" An English translation of an early book on the geometric applications of exterior algebras
• "Mechanics, according to the principles of the theory of extension" An English translation of one Grassmann's papers on the applications of exterior algebra