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Real Clifford signature recurrences and eightfold periodicity
Statement
Let be the real algebra for the form with positive and negative squares, using . As ungraded real algebras, for ,
The pure-signature algebras through dimension eight are
For every , the pure algebras satisfy
Facts & Assumptions
Given: The standard real quadratic forms with signature and the positive-square-first convention.
Each canonical Clifford generator squares to its assigned or value (Universal Clifford algebra of a quadratic space).
A linear map satisfying the quadratic relation extends uniquely to a Clifford algebra homomorphism (Universal property of the Clifford algebra).
A real Clifford algebra on generators has dimension by its ordered square-free basis (PBW basis and exterior associated graded for a Clifford algebra).
The low-dimensional algebras are , , , , and (Low-dimensional real Clifford algebra models).
The real coefficient tensor identities include , , and (Tensor identities for the real division algebras).
is a field (The reals form a totally ordered field).
The Clifford algebra of the zero real vector space is (The zero-dimensional Clifford algebra is the base field).
Ordinary tensor products of real vector spaces have canonical associative reparenthesizations and flips on elementary tensors (Symmetry and associativity isomorphisms for tensor products over a commutative ring).
Tensoring over commutes with direct sums, including the isomorphism (Tensor products commute with arbitrary direct sums).
Images of orthogonal Clifford vectors anticommute, by (Polarized relations in a Clifford algebra).
Proof
Let generate with , , and by [F10], and put . Then , and anticommutes with both and . Send each old positive or negative generator of to , and send the new positive and negative generators to and . The images satisfy the standard quadratic relations: the old squares are unchanged because , the new squares are , old pairs anticommute by [F10], and all cross anticommutators vanish because anticommutes with . Thus every linear combination has its prescribed square, and [F2] gives a homomorphism .
Let be the positive generators of . By [F10], ; put . Then , and anticommutes with . Send each negative generator of to and the two new positive generators to . Each old image squares to , the new images square to , old pairs anticommute by [F10], and the cross anticommutators vanish. Hence every linear combination has its prescribed square, and [F2] gives the homomorphism used in the second recurrence.
Let be the two negative generators of . By [F10], ; put , so and anticommutes with each. Send every positive generator of to and the two new negative generators to . Old images square to , new images square to , old pairs anticommute by [F10], and cross anticommutators vanish. Thus every linear combination has its prescribed square, and [F2] gives a homomorphism .
Since is a field by [F6], specialize [F7] to identify with . This supplies the row of both pure-signature columns.
The map in step 1.1 is surjective: its image contains , hence and the second factor; multiplying by recovers , which generates the first factor (when , the first factor is just the scalar algebra generated by the unit). The source dimension is by [F3], equal to the target dimension by [F3]–[F4]. Therefore the map is an isomorphism. Substituting from [F4] proves the first recurrence.
The images generate the two tensor factors because is invertible (when , the first factor is only the scalar algebra), and both sides have dimension : the source has this dimension by [F3], while the target has dimension by [F3] and [F4]. Thus the homomorphism is an isomorphism.
Using the generator-map construction in step 1.2, the images generate both tensor factors because is invertible (when , the first factor is only the scalar algebra), so the induced homomorphism is surjective. Its source and target both have dimension by [F3] and [F4]; hence it is an isomorphism, and [F4] identifies the second factor with .
Applying the second and third recurrences to [F4] gives , , , and . The first two use and from [F5]; the third uses by [F9], and the fourth uses by [F5].
Applying the recurrences again and the tensor identities [F5] yields , , , , , , , and . The recurrences used are respectively and ; [F9] distributes tensor products across the split factors, [F4] supplies the initial rows through , and step 1.4 supplies . Thus these entries give every row of the displayed pure-signature table.
Iterating the second recurrence in step 2.3 and the third recurrence in step 2.2 gives and . The reassociations and flips in [F8] preserve multiplication on elementary tensors, so they are algebra isomorphisms; they reorder the four extra factors as . By [F5], and then . This proves both eightfold identities.
Depends on
- Real, complex, and quaternion coefficient algebras and matrix notation
- Low-dimensional real Clifford algebra models
- Tensor identities for the real division algebras
- The zero-dimensional Clifford algebra is the base field
- Universal Clifford algebra of a quadratic space
- Polarized relations in a Clifford algebra
- Universal property of the Clifford algebra
- PBW basis and exterior associated graded for a Clifford algebra
- The reals form a totally ordered field
- Symmetry and associativity isomorphisms for tensor products over a commutative ring
- Tensor products commute with arbitrary direct sums
Used by
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Sources
- Jean Gallier, Clifford Algebras, Clifford Groups, and a Generalization of the Quaternions: The Pin and Spin Groups, §1.6, Lemma 1.15 and Theorem 1.17 (standard reference, not scraped)
- M. F. Atiyah, R. Bott, and A. Shapiro, Clifford Modules, Part I, §4, Table 1 (standard reference, not scraped)
- Konstantin Wernli, Lecture Notes on Spin Geometry, §1.4.1, Theorem 1.4.4 and Table 1.1 (standard reference, not scraped)