This is the review post for Part : abstract algebras.
Throughout the Math 202 sequence and on the qualifying exam, the term “algebra” by default refers to a complex vector space of positive, finite dimension equipped with a unital, associative, bilinear multiplication
denoted
and an antilinear, antimultiplicative, involution conjugation
denoted
The fundamental example is Two further examples are
with coordinatewise multiplication and conjugation, and
with matrix multiplication and Hermitian conjugation. Both coincide with
for
Thus, we have an example of a commutative algebra of every dimension, and for algebras of square dimension bigger than one we also have a noncommutative example.
Inside a given algebra there are various classes of special elements. The broadest of these is the class of normal elements, which consists of those
which commute with their conjugate,
Two subclasses thereof are selfadjoint elements which are equal to their conjugate,
, and unitary elements which satisfy
Normal elements which are both selfadjoint and unitary are called reflections and they satisfy
Selfadjoint elements which can be factored as
are called nonnegative, and selfadjoint elements such that
are called projections. Two projections which satisfy
are said to be orthogonal.
Theorem A1. Every can be written
with
selfadjoint. Furthermore, this decomposition is unique and
is normal if and only if
and
commute.
Theorem A2. An algebra is commutative if and only if all its elements are normal.
Theorem A3. Any set of nonzero pairwise orthogonal projections in is linearly independent.
The category has algebras as objects. Morphisms are linear transformations
such that
and these are called algebra homomorphisms. Two algebras and
are said to be isomorphic if and only if there exists a bijective homomorphism between them.
Theorem A4. If is a one-dimensional algebra then there exists a unique isomorphism
Theorem A5. If is a two-dimensional algebra then it is commutative.
Given any algebra homomorphism the set
is a subspace of which contains
and is closed under multiplication and conjugation, i.e. it is a subalgebra of
The set
is a subspace of which does not necessarily contain
However,
is closed under multiplication and conjugation, and in fact for every
we have
for all
, i.e.
is an ideal in
Like the collection of subspaces of a given vector space, we can partially order the set of subalgebras of a given algebra by set-theoretic inclusion. This poset has a unique minimal element given by
and a unique maximal element of the poset of subalgebras of
is
itself. Given two subalgebras
and
of
, there is a unique maximal subalgebra contained in both of them, namely
. There is also a unique minimal subalgebra containing both
and
, namely the intersection of all subalgebras containing
. This is called the algebra generated by
and it is denoted
Theorem A6. We have
In fact, for an arbitrary subset there is a unique minimal algebra
containing
, namely the intersection of all subalgebras containing it, and this is called the subalgebra generated by
.
Theorem A7. We have where
An important subalgebra of a given algebra is its center,
We have if and only if
is commutative, and
can be viewed as a measure of how (non)commutative
is.
In fact, subalgebras always come in pairs: given the corresponding centralizer is
Theorem A8. If and
are subalgebras of
such that
then their centralizers are subalgebras such that
One may also consider the set of commutative subalgebras of a given algebra ordered by inclusion. The intersection of any family of commutative subalgebras is again a commutative subalgebra. However, for an arbitrary set
there may not exist a commutative subalgebra containing it; this occurs for example if
consists of a single non-normal element.
Theorem A9. A set is contained in a commutative subalgebra of
if and only if
is commutative.
The unique minimal element of the poset of commutative subalgebras of is still
, but there may be many maximal commutative subalgebras
having the property that they are not contained in any strictly larger commutative subalgebra.
Theorem A10. A commutative subalgebra is a maximal commutative subalgebra if and only if
A natural question is whether we can define a scalar product on a given algebra which is compatible with its multiplication and conjugation. Given any scalar product on
, we can normalize it so that
A scalar product so normalized is said to have the left-Frobenius property if
We say that it has the right-Frobenius property if
A scalar product satisfying which has both the left-Frobenius property and the right-Frobenius property is called a Frobenius scalar product.
The existence of Frobenius scalar products on is intimately related to the existence of special linear functionals on
. The reason for this is that given any linear functional
we can define a corresponding Hermitian form on
by
and this form has the left-Frobenius property.
A faithful state is a linear functional satisfying
and
with equality if and only if
Theorem A.10. Faithful states on are in bijection with left-Frobenius scalar products on
A trace is a linear functional which satisfies
Theorem A.11. Faithful tracial states on are in bijection with Frobenius scalar products on
An algebra equipped with a Frobenius scalar product is called a von Neumann algebra. Equivalently, a von Neumann algebra is an algebra
together with a faithful tracial state.
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