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Exterior algebra

Algebra associated to any vector space

  • 27 min read
  • 8 chapters

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Through Geometry, Area and Volume

The wedge product of k vectors v1∧v2∧⋯∧vk is called a simple k-vector 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 2-blade v∧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. Its bilinearity, expected from such a generalization of volume, and its alternating property that v∧v=0 implies a skew-symmetric property that v∧w=−w∧v, 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. 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 R2 is a real vector space equipped with a basis consisting of a pair of orthogonal unit vectors e1=[10],e2=[01].

Suppose that v=[ab]=ae1+be2,w=[cd]=ce1+de2 are a pair of given vectors in ⁠R2⁠, written in components. There is a unique parallelogram having v and w as two of its sides. The area of this parallelogram is given by the standard determinant formula: Area=|det[vw]|=|det[acbd]|=|ad−bc|.

Consider now the exterior product of v and ⁠w⁠: v∧w=(ae1+be2)∧(ce1+de2)=ace1∧e1+ade1∧e2+bce2∧e1+bde2∧e2=ade1∧e2+bce2∧e1=(ad−bc)e1∧e2, where the first step uses the distributive law for the exterior product. The second one uses the fact that the exterior product is an alternating map, i.e., e1∧e1=e2∧e2=0. Being alternating also implies being anticommutative, e2∧e1=−(e1∧e2), which gives the last line. 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:

  1. A(rv, sw) = rsA(v, w) 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. A(v, v) = 0, since the area of the degenerate parallelogram determined by v (i.e., a line segment) is zero.
  3. A(w, v) = −A(v, w), since interchanging the roles of v and w reverses the orientation of the parallelogram.
  4. A(v + rw, w) = A(v, w) 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. A(e1, e2) = 1, since the area of the unit square is one.

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 {e1,e2,e3}, the exterior product of a pair of vectors u=u1e1+u2e2+u3e3 and v=v1e1+v2e2+v3e3 is u∧v=(u1v2−u2v1)(e1∧e2)+(u3v1−u1v3)(e3∧e1)+(u2v3−u3v2)(e2∧e3) where {e1∧e2,e3∧e1,e2∧e3} is the natural 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 w=w1e1+w2e2+w3e3, the exterior product of three vectors is u∧v∧w=(u1v2w3+u2v3w1+u3v1w2−u1v3w2−u2v1w3−u3v2w1)(e1∧e2∧e3) 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.

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