Often in mathematics we work in an algebra with the property that the “degree” of an element has a multiplicative property. For example, in a polynomial ring in variables we can define the degree of a monomial to be the vector of its degrees with respect to each variable, and the product of monomials corresponds to the sum of vectors. More typically we can define the degree of a monomial to be its total degree (the sum of the components of the above vector); this degree is also multiplicative.
Algebras with this additional property are called graded algebras, and they show up surprisingly often in mathematics. As Alexandre Borovik notes, when schoolchildren work with units such as “apples” and “people” they are really working in a -graded algebra, and one could argue that the study of homogeneous elements (that is, elements of the same degree) in
-graded algebras is the entire content of dimensional analysis.
At this point, I should give some definitions.
To define a graded algebra, we want to generalize the definition of a monomial. To say that a polynomial in one variable can be uniquely written as a sum of monomials is equivalent to giving a direct sum decomposition
where denotes the monomials of the form
. Since the product of a monomial of degree
with a monomial of degree
is a monomial of degree
, and
ranges over the non-negative integers, we call this a
-graded algebra.
In general, given a semigroup , a
-graded algebra is an algebra
with a direct sum decomposition
with the property that the multiplication sends the product of an element of and an element of
to an element of
. The elements of the factors
are called the homogeneous elements, and the value of
is called the degree. If you’re unfamiliar with direct sums, just remember that it means that any element of
can be written uniquely as a sum of homogeneous elements. Because polynomial rings are the prototypical example, the case
is referred to as “graded.”
Note that a “polynomial” (a sum of homogeneous elements of different degree) doesn’t necessarily have a well-defined degree; we aren’t requiring that have an ordering.
Graded algebras seem to appear whenever symmetry or homogeneity are important, although I don’t have much experience with their more sophisticated uses. Below are a few examples.
Fourier transforms
Every function can be uniquely written as the sum of an even function and an odd function. Generically, this takes the form
.
This gives the set of functions the structure of a
-graded algebra; the direct sum decomposition is into the even and odd functions.
More generally, let be a primitive
root of unity and say that a function
has weight
if
. This gives the set of functions
the structure of a
-graded algebra; the direct sum decomposition is into the functions of weight
. You might know this as the discrete Fourier transform or as the decomposition of a representation of
into its irreducible one-dimensional representations. For example, for
the decomposition into functions of weight
takes the form
.
Even more generally, let be a locally compact abelian group and let
denote its Pontryagin dual, i.e. the continuous homomorphisms
. Let
be a space on which
acts continuously, and given a character
, say that a function
has weight
if
for every
. Subject to technical assumptions, this gives the space of functions
the structure of a
-graded algebra; the direct sum decomposition is into the functions of weight
. (If
isn’t discrete; the direct sum is replaced by an integral.) For more details, see Terence Tao’s notes on the Fourier transform. With
(the circle group),
(the circle), and
we recover the usual gradation on the space of Fourier series of functions on the circle (equivalently, the space of Fourier series of periodic functions on the real line).
Commutative algebra
A polynomial ring is a graded algebra under total degree. This allows us to focus our attention on homogeneous polynomials, since those are the important ones in algebraic geometry. Given a graded algebra
, define
and define the Hilbert series
.
One can verify that when the Hilbert series is
, and this should be familiar if you did the exercise about symmetric functions awhile back. Hilbert series behave well under the obvious operations: they are additive under direct sum and multiplicative under tensor product, provided the degree of a tensor product is defined appropriately. One can think of this as a “linearization” of the properties of combinatorial generating functions under disjoint union and Cartesian product. It is therefore reasonable to expect that the Hilbert series of a graded algebra encodes information about its structure.
Hilbert series can be used to study algebraic varieties, as follows: given a projective variety defined over
, the ring of polynomial functions
is a quotient of
by the ideal
of functions in
vanishing on
, hence inherits a gradation. The Hilbert series of a variety
can be used to define its dimension, as follows.
Theorem: There exists a polynomial (the Hilbert polynomial) such that
for all sufficiently large
. The degree of this polynomial is the dimension of
.
Intuitively, the degree of the Hilbert polynomial measures the number of “degrees of freedom” that polynomial functions on have. For
the ring of functions is
and the Hilbert polynomial is
. For
the Segre variety
, the ring of functions is
. Its Hilbert series begins
and we can compute its Hilbert polynomial as follows: after replacing the factor by
in every monomial, the space of monomials of degree
consists of
- Monomials in
; there are
of these.
- Monomials in
with a factor of
; there are
of these.
- Monomials in
with a factor of
; there are
of these.
This gives the Hilbert polynomial , hence
has dimension
; in fact, it’s a doubly ruled surface.
I haven’t checked, but I believe this generalizes: the Segre embedding might correspond to the Hadamard product of Hilbert series in general.
Supersymmetry
Now we enter the realm of things I don’t understand. A -graded algebra is called a superalgebra. Superalgebras have an even part and an odd part, as we have seen. A good example of a superalgebra is the ring of invariants of the alternating group
acting on
by permutation of the variables. The even part consists of the polynomials invariant under
, the symmetric polynomials, and the odd part consists of the polynomials that gain the sign of a permutation under permutation, the alternating polynomials.
Supersymmetry is an idea from physics relating bosons to fermions. According to Masoud Khalkhali, if is the Hilbert space of states of a single boson, then the Hilbert space of states of
bosons is the symmetric tensor power
. If
is instead the Hilbert space of states of a single fermion, then the Hilbert space of states of
fermions is the exterior power
; this is the Pauli exclusion principle.
The exterior algebra of a -dimensional vector space
has Hilbert series
, since by Pauli exclusion a monomial of degree
corresponds to a subset of size
of
basis vectors. In other words, fermion = subset. The symmetric algebra of
can be identified with the space of polynomials in
variables, so as we saw before it has Hilbert series
. In other words, boson = multiset. The “supersymmetry” relating bosons and fermions is hinted at by the following:
.
The next GILA post will attempt to discuss these issues from a combinatorial perspective.