The exterior algebra of a vector space combines scalars, vectors, and higher-dimensional oriented elements in one graded algebra. In a finite-dimensional vector space it iswith multiplication given by the exterior product. Degree zero is the scalar field, degree one is , and degree two is the space of bivectors. Multiplication adds degrees: combining two vectors produces a bivector, rather than another ordinary vector.[ref]
The essential rule is . Repeating the same direction cannot produce a nonzero oriented area. Bilinearity then gives : expand and remove the two zero self-products. The alternating rule remains part of the definition in characteristic two, where sign reversal alone would not force a self-product to vanish.
If with standard basis , every element of its exterior algebra has the formThere are four independent coefficients: one scalar, two vector components, and one area component. In , the respective degree dimensions are , giving eight components in total. More generally, the exterior power basis gives total dimension .
This language is useful when direction and orientation matter together. Determinants measure the action on top-degree exterior powers; differential forms use exterior powers of a dual space to describe quantities integrated along paths, surfaces, and higher-dimensional regions. The Grassmann algebra viewpoint also makes the sign changes in anticommuting generators systematic. A single multiplication rule connects geometry and algebra.
A bivector is an element of the second exterior power . A simple bivector is one exterior product ; in real Euclidean space, it records the oriented area generated by those two vectors. A general bivector is a sum of such elements and need not describe just one plane. Covariant counterparts are differential two-forms, which take two vectors as inputs rather than belonging to .
In , chooseExpanding by bilinearity givesThe three coefficients are signed areas of the projections onto the , , and coordinate planes. They are three components of one bivector, not the three coordinates of either input vector.
With the usual dot product and a fixed orientation of a vector space, the cross product represents this area element by the normal vector . The order of the components matters: corresponds to , while corresponds to . The Gram determinant checks the full area:Here the norm on bivectors is the one induced by the Euclidean inner product. The exterior product exists without that metric and in arbitrary dimension; the familiar cross product description relies on the additional three-dimensional geometry.
A simple bivector can be expressed as one exterior product of two vectors. Changing the pair need not change its area element: for every scalar , by bilinearity and . This operation shears the represented parallelogram while preserving its oriented area.
Every bivector in a real vector space of dimension at most three is simple, but this fails in dimension four. For an ordered basis , considerThe two components describe independent coordinate planes. Their square iswhereas because the factors repeat. Thus this cannot be one simple bivector. Over the real numbers in dimension four, the converse also holds: a nonzero bivector with is simple. The nonzero factor two is important; that criterion cannot be applied unchanged in characteristic two.
The exterior product, also called the wedge product, combines oriented elements through the multiplicationFor two vectors, it is bilinear and alternating:These rules imply . They distinguish the exterior product from both the symmetric dot product and the unconstrained tensor product.[ref]
Linear Algebra Done Right by Sheldon Axler (4th edition). §9B, Definition 9.27 and Theorem 9.30, printed pp. 347–348: alternation and the sign of a swap
In an oriented orthonormal plane, write and . Expanding in its standard basis givesThe determinant is the signed area of the parallelogram formed by the two inputs. Its absolute value is the ordinary area. Reversing the input order reverses the sign; parallel inputs produce zero.
For the original example and ,Replacing by changes the shape but preserves the product: . Both parallelograms have the same oriented area element. If , the exterior product is zero, since .
The same rule adds directions in higher dimensions. With and the three-dimensional inputs under bivector,Its coefficient is the oriented volume of the three-dimensional parallelepiped. Repeating or linearly depending on earlier inputs collapses the volume, giving zero.
For homogeneous elements of a graded algebra of degrees , the general commutation rule isSwapping a bivector with another bivector therefore produces a positive sign, since . It is the number of individual vector swaps that controls the sign, not a rule that every pair of objects must anticommute.
For a polynomial ring , a degree- polynomial polyvector field is an element of . Its product is the exterior product. Together with the Schouten-Nijenhuis bracket these spaces form a Gerstenhaber algebra.
The left Schouten-Nijenhuis bracket on polynomial polyvector fields is the degree-minus-one Gerstenhaber bracket extending the commutator of derivations and by graded antisymmetry and the left graded Leibniz rule. For , this convention gives and . A right insertion convention reverses the degree-two-with-function formula.
A Grassmann algebra is an exterior algebra regarded as an algebra of anticommuting generators. Its odd elements satisfy .
The parity grading records whether a homogeneous element has even or odd Grassmann degree. Homogeneous elements obey . An odd differential uses the graded Leibniz rule; this is the sign bookkeeping behind left-acting BRST differential calculations.
A Grassmann derivative is an odd differentiation operation on a Grassmann algebra. A left Grassmann derivative obeys for homogeneous . Right derivatives use the corresponding right-sided product rule. Their placement must be fixed when differentiating fermionic sources in a generating functional, since commuting ordinary derivatives would lose fermionic signs.
Left differentiation with respect to an odd Grassmann variable is the odd linear operation , with zero derivative on every other generator. For a homogeneous element of parity , it obeys the graded product ruleFor independent odd generators, . This sign comes from moving the derivative through the first odd factor in the Grassmann algebra. It fixes chirality in the chiral-superfield component expansion; an ordinary commuting-variable product rule would give the wrong sign.
A Grassmann variable is an odd generator of a Grassmann algebra. In characteristic zero it obeys , so functions of finitely many Grassmann variables have finite Taylor expansions.
The th exterior power is the quotient vector space of the tensor power that makes every elementary tensor with two equal factors zero. More precisely, take the quotient vector space by the linear span of all such tensors. Its elementary products turn alternating multilinear maps into linear maps: every alternating -linear map on factors uniquely through .[ref]
Exterior Powers by Keith Conrad. Exterior Powers, §3, Definition 3.1 and Theorem 3.3: quotient construction and universal property
If is an ordered basis, the increasing productsform a basis of . There is one for each -element choice of basis directions, soRepeated directions vanish; products with a different order can be sorted using their sign. Coordinate determinants distinguish the remaining increasing products, establishing linear independence.[ref]
Exterior Powers by Keith Conrad. Exterior Powers, §4, Theorem 4.2: basis and rank of an exterior power
For , a basis of is . This explains the three bivector components in the worked example. The top exterior power has one basis element, , while : four independent directions cannot fit into that vector space. By convention is the scalar field, even when has dimension zero.
The exterior square of a direct sum splits into wedges of two vectors from , two from , or one from each. The mixed map sends to . A combined basis proves it is an isomorphism, and the exterior-power Lie algebra representation proves equivariance for modules. No division by is used.
For a symplectic vector space , contraction is the map defined by . It is equivariant for the symplectic Lie algebra. In dimension four its five-dimensional kernel is irreducible of highest weight , while the invariant inverse-form bivector spans a complementary trivial Lie algebra representation.
The primitive exterior square of a symplectic vector space is the kernel of its symplectic contraction of an exterior square. In dimension four, the invariant inverse-form bivector has nonzero wedge square. Choose ; the symmetric bilinear form is nondegenerate on . The primitive subspace is , and therefore inherits a nondegenerate form of dimension five. The symplectic Lie algebra acts on it by infinitesimal orthogonal transformations.
Articles by others on the same topic
Exterior algebra is a mathematical framework used primarily in the fields of linear algebra, differential geometry, and algebraic topology. It provides a way to construct and manipulate multi-linear forms and generalized notions of vectors in a vector space. The key components of exterior algebra are: 1. **Vector Spaces**: Exterior algebra begins with a vector space \( V \) over a field (usually the real or complex numbers).

