The chapter ends with a construction rather than a
classification. Everything so far has taken a quadratic
form apart; this section asks instead for an algebra in
which the form becomes a square, so that is literally times for a multiplication
we invent. The answer is a Clifford algebra, and two of
the most familiar algebras in mathematics are its first
two examples. This is an introduction only: we define
the object, prove what the definition alone gives, work
three cases out completely, and stop.
Take
with the negative definite form ,
and suppose we had an associative multiplication on some
larger space containing , with an identity , in which every vector
satisfies . Write
for the two standard basis vectors sitting inside that
algebra. Expanding and using only
bilinearity of the product, We want this to equal
for every . Taking forces , and
taking
forces . What is left is for all , which forces
So the two basis vectors must square to and must
anticommute. That last relation hands
us a third square root of we did not ask for,
since . Three
anticommuting square roots of : those are Hamilton’s
quaternions. Run the same argument on a one-dimensional
with and the
single relation produces .
A Clifford algebra is the smallest place where
the vectors of
can be multiplied and each one squares to its own -value.
Algebras
The objects above are algebras, a word the book has
used informally and now needs precisely.
Definition
14.12.1 (Algebra over a Field)
An algebra over , or an
-algebra, is a
vector space over
together with a
map , written , which is
- (A1)
bilinear: linear in each argument with
the other fixed;
- (A2)
associative: for all
;
- (A3)
unital: there is an element with for every
.
A homomorphism of -algebras is an
-linear map
with for all and . An
isomorphism is a bijective
homomorphism.
Every algebra here is associative and unital, and we
stop saying so. The examples are old friends: itself; ; ; under composition;
and over , of dimension . A non-example by
minimal change: with the cross
product is bilinear but fails (A2) and (A3), since while , and no
vector acts as an identity.
One consequence of (A1) is used constantly below: a
bilinear map is determined by its values on a basis, so
two products agree, and a linear map is multiplicative,
as soon as this is checked on basis elements.
The
definition
Definition
14.12.2 (Clifford Algebra)
Let be a field
with , let be a finite-dimensional
-vector space, let
be a
symmetric bilinear form on and let be
its quadratic form (Definition 14.3.2). A
Clifford algebra of is a pair , where is an -algebra and is a
linear map, such that
- (C1)
for every ;
- (C2)
(universal property) for every -algebra and every linear map
with for every , there is a
unique algebra homomorphism
with .
We write , or
, for a Clifford algebra of , and
when is the space
of Definition 14.11.1, that is,
with the
real form of signature .
Clause by clause. (C1) is the demand we started from:
inside every
vector has a square, and that square is a
number times the identity, not a vector. (C2)
says is the most
economical algebra with that property. Any other algebra
where the vectors square correctly receives a map from
, so has no relations beyond
those (C1) forces; and the map is unique, so has no room to spare
either. What is defined is the pair , not alone.
Existence is deferred. The
definition says what a Clifford algebra would be; it
does not produce one. The standard construction is not
available yet: one takes the tensor
algebra of — the
infinite-dimensional algebra whose elements are formal
sums of strings of vectors, multiplied by concatenation
— and divides out by the relations .
Chapter 15 builds tensor algebras and carries this out,
for every and
at once. So
everything below is of one of two kinds: a consequence
of the definition, valid whenever a Clifford algebra
exists, or an explicit algebra written down by hand,
which proves existence in that case. We say which each
time.
The first consequence is that “the” Clifford algebra
is legitimate language.
Proposition
14.12.1 (Uniqueness of the Clifford
Algebra)
Let
and both be Clifford algebras of . Then there is a
unique algebra isomorphism with .
Idea. Each one’s universal property
produces a map to the other. The two composites are
self-maps that do nothing to , and the uniqueness
clause says the only such self-map is the identity.
Proof. Since
satisfies (C1), the universal property (C2) of , applied with and , gives an
algebra homomorphism with . Symmetrically, (C2) for gives
with . Then is an algebra homomorphism with . The identity is another one. By
the uniqueness clause of (C2) for , applied with and , the two
coincide: . Swapping the roles of and gives . Hence is an
isomorphism, and it is unique because (C2) already
delivers it uniquely. This proves the proposition.
Next, the identity that does all the computing.
Lemma
14.12.2 (The Anticommutation Relation)
Let
be a Clifford algebra of . Then for all , In particular and anticommute
whenever .
Proof. By (C1) applied to , and then
bilinearity of the product together with linearity of
, By Theorem 14.3.5, , and by (C1) again
and . Canceling those two terms from both
sides leaves the stated identity. The last sentence is
the case .
So an orthogonal basis for becomes a list of
pairwise anticommuting elements of , each with a scalar
square. That is the whole computational content of a
Clifford algebra, and Theorem 14.4.2 guarantees
such a basis exists whenever — which is where the characteristic
hypothesis in Definition 14.12.2 earns its
place, since Theorem 14.3.5 needs it
too.
Three
algebras, worked out
Example
(The zero space)
Let ,
so and . Show that with is a Clifford
algebra of ,
so that .
Solution. (C1): the only vector is
, and .
(C2): let be
an -algebra and
linear, necessarily , so the condition on reads . Define by
:
it is linear, sends to , and is
multiplicative because by bilinearity
of the product and ; and . It is unique, since any algebra
homomorphism is linear with , hence
.
So , of dimension : the construction adds nothing when there
is nothing to add.
Example
(The complex numbers)
Let with
, the
form of signature . Show that , with
given by , is a Clifford algebra of , so that .
Solution. Here is an algebra over
of dimension
, with basis .
(C1): .
(C2): let be a
real algebra and linear with . Put
, so by linearity
and .
Define by , which is -linear and sends
to . To see it is
multiplicative, note that
and are both -bilinear, so it
suffices to compare them on the basis : the pairs
involving are
immediate, and . Finally . For
uniqueness, an algebra homomorphism with has
and , and spans , so .
So , of dimension . Read this backwards: is not primarily
“ with a square
root of
attached”, it is the smallest algebra in which the
number squares to
.
For the two-dimensional case we need the quaternions,
and we need them to be associative. The cheapest way to
get associativity is to find them inside a matrix
algebra, where it is free.
Definition
14.12.3 (The Quaternions)
Inside ,
regarded as an algebra over , put The quaternions are the real span of
in
.
The three matrices carry Hamilton’s names and are
written bold lowercase, as basis vectors of ; the plain in their entries is the
complex unit, which is a different object from the
matrix .
Multiplying them out gives and then and . A real combination
is the matrix with rows and , which
vanishes only when ; so . The
relations show the span is closed under multiplication,
so is a real
subalgebra of — and it is
associative for free, because matrix multiplication
is.
Example
(The quaternions)
Let
with , the form of signature . Show that , with , is a Clifford algebra of , so that .
Solution. (C1): using and
, which is .
(C2): let be a
real algebra and linear with . Put
and
, so
,
and by Lemma 14.12.2 — or directly,
by expanding — we get , that is,
. Define
the linear map which is well defined because is a
basis of , and
sends to . Both and are -bilinear, so
multiplicativity need only be checked on the basis. The
pairs involving are immediate, and
the remaining nine are Each right-hand claim is one line of algebra
in , using
associativity, and . For instance , and .
Finally . For uniqueness, an algebra
homomorphism with is
forced on , on
and on , hence on , and these four
span .
So , of dimension .
Warning. A Clifford algebra
is not commutative, and a product of two vectors is not
a vector. In the image is a plane, and lies outside
it; worse, , so the order matters. Two habits have to
go: that multiplying two elements of keeps you in , and that . Beyond the
scalars ,
nothing may be assumed to commute.
How big
is it
The three examples all came out with . Half of that
is a theorem we can prove.
Proposition
14.12.3 (The Clifford Algebra Is Spanned by
Sorted Products)
Let
be a Clifford algebra of , where and , and let be an orthogonal basis of for . Then is spanned over by the products one for each subset of
,
the empty product being . In particular .
Idea. Two steps. ① Show that is generated as an
algebra by and
— this is
not automatic, and it is where the uniqueness
half of the universal property does its work. ② Sort:
any product of basis vectors can be put in increasing
order by swapping neighbors at the cost of a sign (Lemma 14.12.2), and a
repeated neighbor collapses to a scalar (C1).
Proof. An orthogonal basis exists
by Theorem 14.4.2, since . Write .
Step 1: is generated by and . Let
be the set of all -linear combinations of
and of finite
products
with . It is a subspace closed under multiplication
and contains ,
hence is itself an -algebra, and followed by the
change of codomain gives a linear map satisfying (C1). By the universal
property of ,
applied with and , there is an algebra homomorphism
with . Let be the inclusion, an
algebra homomorphism. Then is an
algebra homomorphism with , and so
is ; by the
uniqueness clause of (C2), applied with and , we get . Hence is surjective, so .
Step 2: sorting. By Step 1 and
linearity of ,
is spanned by
together with
the products
over all finite index strings . Fix
such a product and induct on the pair , ordered lexicographically,
where counts
the pairs
with .
If the string is strictly increasing, the product is on
the list and we are done. Otherwise some neighboring
pair has . If , then (C1) replaces by the
scalar ,
producing a scalar multiple of a product of length . If , then Lemma 14.12.2 with lets us swap the two factors at the cost of a
sign, producing a product of the same length with one
fewer inversion. Either way the induction applies, and
the product is a scalar multiple of a listed one.
There are
subsets of , so the spanning list has members and . This
proves the proposition.
Quick check. Where exactly does Proposition 14.12.3 use the
word unique in (C2), and what would go
wrong without it?
Solution. In Step 1, at the
sentence “by the uniqueness clause of (C2) … we get
”.
Existence alone gives an algebra homomorphism fixing
, but nothing
then makes it the identity, and the argument cannot
conclude that is
surjective. The conclusion really would be false. Take
with , let with
componentwise multiplication, and set . Then
, so (C1) holds, and so does the
existence half of (C2): the first projection, followed
by the homomorphism built in Example (The complex numbers),
does the job for every target . But is not
spanned by and
products of vectors, since every such product lies in
the diagonal , of dimension
. What fails is
uniqueness — the second projection is a second map — and
that is the clause the proof needs.
The other half of the count is a different
matter.
Theorem
14.12.4 (Dimension of a Clifford
Algebra)
Let , let , and let be a Clifford algebra of . Then the sorted products of Proposition 14.12.3 form a
basis of , so . In
particular is
injective.
What is proved here, and what is
not. The inequality is Proposition 14.12.3, proved
in full. The reverse inequality — that the sorted products are
linearly independent — is not proved in this
section, and it cannot be, because the
definition alone does not even produce an algebra:
independence and existence have to be established
together, by constructing one algebra of dimension
exactly that
satisfies (C1) and (C2). Chapter 15 does that, from the
tensor algebra. What this section does establish is the
theorem in the three cases above: with , with , and the case
of with , each by writing
the algebra down and checking (C1) and (C2) by hand. For
, read the
statement above as quoted from Chapter 15 and not as
proved here.
Granting the theorem, the subsets of indexing
the basis are the first sign that is
assembled from the exterior powers , one for each
. Chapter 15
constructs both and makes that precise.
What
Clifford algebras are for
One computation shows where the subject goes. Recall
from Section 10 that the isometries of form a group (Definition 14.10.1). Inside
,
some of them are conjugations.
Proposition
14.12.5 (Reflections Are Conjugations)
Let
be a Clifford algebra of and let with . Then is invertible
in , with inverse
, and
for every ,
The map fixes
pointwise, sends
to , and
satisfies .
Proof. By (C1),
with ,
so and likewise on the other side. By Lemma 14.12.2, , so
multiplying on the right by , Dividing by and negating gives
, which is
by linearity of . If then
;
and . Finally, writing ,
since . This proves the
proposition.
So the reflection in a hyperplane, the basic isometry
of a quadratic form, is carried out inside by
conjugating with a single vector. Composing such
conjugations reaches more isometries, and the invertible
elements of
acting on this
way form a group mapping onto the isometry group of
— two-to-one,
since and
conjugate alike. That double covering is where
spinors live: objects the covering
group acts on and the isometry group does not, because
going once around a rotation returns them with a sign.
This book will not build them. What it will do is
Chapter 15: construct tensor algebras, construct from
one, and prove Theorem 14.12.4. Nothing
later depends on this section, and the chapter ends
here.
Exercises
A. Check your
understanding
Exercise
(A1)
- (a) State the
definition of an -algebra, and give one
example of dimension and one of dimension
.
- (b) State the
universal property (C2), with every quantifier.
- (c) What is when
, and
what is its dimension?
- (d) True or false:
is commutative. Justify your answer.
- (e) What does this
book prove about
when ,
and what does it only quote?
Solution.
(a) A vector
space over with a
bilinear, associative, unital multiplication (Definition 14.12.1).
Dimension : itself. Dimension : , or over .
(b) For every
-algebra and every linear such
that for every , there exists a
unique algebra homomorphism
such that .
(c) ,
of dimension (Example (The zero space)).
(d) False. It is
by Example (The quaternions),
and .
(e) It proves
, by Proposition 14.12.3. The
equality , and indeed the existence of at
all, is quoted from Chapter 15.
B. Practice
Exercise
(B1: The split case)
Let with
, the
form of signature . Let with
componentwise addition and multiplication, and ,
.
Prove that is a Clifford algebra of , and state its
dimension.
Solution. is a real algebra of
dimension with
identity , and is a basis, since
vanishes only for .
(C1): .
(C2): let be a
real algebra and linear with . Put
, so and . Define , which is linear and sends
to and to . By bilinearity,
multiplicativity need only be checked on that basis: the
pairs involving
are immediate, and . Also , and any such
homomorphism is forced on and , which span
.
So , of dimension . Comparing with
Example (The complex numbers):
the same one-dimensional with the opposite sign
of gives instead, so the
Clifford algebra sees the sign of the form, not just its
rank.
Exercise
(B2)
Work in , with . Let and .
- (a) Compute and
,
and verify Lemma 14.12.2 on this
pair.
- (b) Compute , verify , and write down .
Solution.
(a) Using and
,
and writing for
, Their sum is . On the other side,
, so . The two agree.
(b) .
And , as required.
Hence by Proposition 14.12.5.
Exercise
(B3)
In let
and . Compute
the reflection directly from
the formula in Proposition 14.12.5, then
compute
inside , and
check that the two agree.
Solution. Here , so and
. The
formula gives In :
,
, and . Hence using . That is ,
which agrees with .
Geometrically negates the coordinate and fixes
the one, which
is what the answer shows.
C. Going deeper
Exercise
(C1: A Clifford algebra of matrices)
In put
and
, and
let carry
the form of signature , with .
- (a) Prove that for
every , and that
is a basis of .
- (b) Assume a
Clifford algebra of exists. Deduce that , and
hence that .
Hint for (b): the homomorphism the universal
property hands you has a surjective image; then
count.
Solution.
(a) A direct
multiplication gives , and so and For the basis: is the matrix with rows and , and setting
all four entries to zero forces . Four
independent vectors in the -dimensional space form a
basis.
(b) By (a) and
the universal property (C2) with , there is an
algebra homomorphism with . Its
image is a subalgebra containing , and , hence
also ; by
(a) those four span , so is surjective and
. On
the other hand by Proposition 14.12.3.
Therefore and is a surjective linear map between spaces of
equal finite dimension, hence bijective, hence an
algebra isomorphism. So .
Exercise
(C2: Why characteristic 2 is excluded)
Explain why Definition 14.12.2 assumes
, by naming the first statement of this
section that fails without it and saying what replaces
the missing input.
Solution. The first casualty is Lemma 14.12.2, whose proof
cites Theorem 14.3.5 for — and that identity is how is recovered from
, by a division by
that is
unavailable in characteristic . Without it, the
relation
collapses to and carries no
information about the form at all. Proposition 14.12.3 then
loses its sorting step in the form given, and Theorem 14.4.2, which
supplied the orthogonal basis, has the same
hypothesis.
What is missing is a definition. In characteristic
a quadratic form
is not the same data as a symmetric bilinear form —
Section 3 warned exactly this — so a quadratic form must
be defined in its own right, as a function with
whose associated is bilinear. Clifford algebras are
defined in that setting too, by the same (C1) and (C2),
but this book does not define quadratic forms there and
so does not go on.