The function algebra of a finite set is the set
of functions
with operations defined pointwise. A basic family of functions are the elementary functions,
Theorem F1. The elementary functions are nonzero pairwise orthogonal projections.
Combining Theorem F1 with Theorem A3, we get that the set is a basis of
.
The algebra can be understood completely. In particular, subalgebras can be explicitly classified. A partition of
is a set
of nonempty disjoint subsets of
whose union is
. The elements
of
are called its blocks. The set
of partitions of
is partially ordered set under the refinement order, where
if and only if
can be obtained from
by breaking blocks. Associated to every
is the subalgebra
consisting of functions constant on the blocks of
Note that
is isomorphic to
Theorem F2. The set is the complete collection of subalgebras of
. Moreover,
if and only if
This classification theorem can be proved in several ways. A nice argument uses the finite-dimensional Stone-Weierstrass theorem. A subalgebra is said to separate points if, for every
there exists a function
such that
Theorem F3. If separates points, then
There is a parallel classification of ideals in . Let us order the set
of all subsets of
by inclusion. Associated to each
is the ideal
Theorem F4. The set is the complete collection of ideals in
. Moreover,
if and only if
Just like Theorem F2 shows that we cannot discover any new algebras by looking at subalgebras of functional algebras, Theorem F4 reveals that we cannot discover any new algebras by taking quotients of function algebras.
Theorem F5. For any the quotient algebra
is isomorphic to the function algebra
Now let us classify von Neumann algebra structures on . This means that we will find all Frobenius scalar products on
; since
is commutative there is no distinction between left-Frobenius and right-Frobenius. Equivalently, we classified faithful states on
, all of which are tracial. A function
is called a probability distribution if
for all
, and
Theorem F6. States on
are in bijection with probability distributions on
: every state is of the form
for a unique probability distribution
. Moreover,
is faithful if and only if
is nonvanishing.
Theorem F6 is equivalent to the statement that all Frobenius scalar products are of the form
for a unique probability distribution having full support in
Going beyond understanding the inner workings of a given function algebra we can classify all algebras
which are isomorphic to a function algebra.$ Clearly, any such
must be commutative. A basis of
consisting of pairwise orthogonal projections is called a Fourier basis.
Theorem F7. An algebra is isomorphic to a function algebra if and only if it admits a Fourier basis.
Theorem F7 is very important, and so is its proof. The fact that admits a Fourier basis is clear (the elementary functions). Conversely, suppose that
is an abstract algebra in which we are able to find a Fourier basis
indexed by some finite set
. Then, every element
can be expanded in this basis,
and the coefficients in this expansion define a function . The mapping
defined by is an algebra isomorphism called the Fourier transform. The “the” here is justified by the following.
Theorem F8. The only Fourier basis is is the basis
of elementary functions.
Theorem F8 means that if a Fourier transform exists, then it is unique up to relabeling the label set
.
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