*** Problems due April 26 at 23:59 ***
Week Four review and preview.
We began with the algebraic approach to graphs, which you can think of as a natural road to go down after Math 202A. Given a finite, connected, simple graph with vertex set
, we pass to the Hilbert space
with orthonormal basis
We encode the edge set
as a linear transformation of
which by abuse of notation we also denote
because it contains exactly the same information. That is, we define the adjacency operator by
where the sum is over all such that
The adjacency operator is self-adjoint, and we could equally well define it by
where the sum is over all such that
Either definition of
is consistent with
More generally, for any nonnegative integer the matrix element
equals the number of
-step walks
in the graph
. The linear algebraic approach is to find an orthonormal basis
such that
belongs to the maximal commutative subalgebra
consisting of operators which act diagonally on
We also observed that the adjacency operator is the first member of a sequence
of selfjadoint linear operators on
which we called the level operators of the graph
These operators encode not just adjacency in
but its complete structure as a finite connected metric space. By definition,
where is geodesic distance in
. That is,
acts on an input vertex
by summing all vertices
in the sphere of radius
centered at
. Equivalently,
We noted that although is a finite family of selfadjoint operators in
, it may not be a commutative family. Indeed, we have
where and
are the spheres of radii
and
centered at the vertices
and
respectively. There is no general reason why this would be equal to
Indeed, the subalgebra of
generated by the selfadjoint operators
is in general not well-understood.
Problem 9.1. If is a finite connected simple graph of diameter
, show that
is an orthogonal set in
with respect to the Hilbert-Schmidt (aka Frobenius) scalar product. In particular, conclude that
is a subalgebra of dimension at least
Although the algebra generated by the selfadjoint operators
is not well-understood, the complete sequence of level operators can be conveniently wrapped into a single operator
called the exponential distance operator of The sum is finite because
is the zero operator for all
which exceed the diameter of
Note that
is really a one-parameter family of operators in
depending on
; note also that
is selfadjoint for
The reason for the name “exponential distance operator” is that
which says that the matrix of is the entrywise exponential of the distance matrix of
In recent years, graph theorists have grappled with the spectral theory of without recognizing its true significance: the exponential distance operator encodes the same information as the distance operator in a way which interfaces more meaningfully with statistical mechanics on graphs. We spent some time exploring this in Week One.
Now we move on to a concrete case of the above in which is a specific family of graphs. Namely, we consider the graphs
in which
is the symmetric group and
is the conjugacy class of transpositions. This looks strange because the edge set of a graph is not a subset of its vertex set; however for Cayley graphs of groups it can be regarded as such. More precisely, two vertices
are adjacent in
if and only if there exists
such that
The fact that we have group law means that we can consider adjacency as induced by multiplication. This same feature propagates up to the level of linear operators, where we can also identify
with the adjacency operator
using convolution in
which is itself induced by multiplication in
. Namely, for any arbitrary subset
we have a corresponding vector in
which in turn gives becomes an operator ,
Applying this recipe to the conjugacy class implements the adjacency operator on
as right multiplication by
More generally,
is the sphere of radius one centered at the identity permutation
If we apply this recipe to the sphere
of radius
centered at
we first get the vector
which in turn becomes the operator
These facts hold for all Cayley graphs. What is special about the case is that all of the spheres
are invariant under conjugation, and in fact are disjoint unions of conjugacy classes in an especially transparent way,
where is the conjugacy class of permutations of cycle type
This immediately implies that
is a central element in and hence that
are commuting selfadjoint operators. In particular, there exists an orthonormal basis
such that
belong to the corresponding diagonal subalgebra
Actually, we can say something stronger. Starting with a subset
, when we make the chain of identifications
the first arrow is quantization and the second is the regular representation. Saying that is conjugation invariant is exactly the same thing as saying that
which in turn means (by Schur’s Lemma) that
acts as multiplication by a scalar operator with eigenvalue
in every irreducible subrepresentation
of
So, not only are the operators
simultaneously diagonalizable, they are actually simultaneously diagonal in any orthonormal basis
of any irreducible representation
. But this is all abstractly true — what we do not have is a concrete formula for the Fourier transform
of
acting in a given irreducible representation
In particular, we do not have any explicit numerical understanding of the spectrum of the adjacency operator
of the graph
and this is the information that we wish to obtain.
The first step down the path to explicitly diagonalizing the level operators of is recognize path is to recognize that the central elements
are nonlinear functions of a fundamental family of non central elements which are even more granular than conjugacy classes. Namely, we decompose
,
where is the set of transpositions of the form
with
These are the Jucys-Murphy subsets of
, and the corresponding algebra elements
give a decomposition
into pairwise orthogonal elements whose norms are
Even though the Jucys-Murphy elements do not lie in the center of the convolution algebra they commute with one another. Hence, the Jucys-Murphy operators
are commuting selfadjoint operators, and hence are simultaneously diagonalizable. The simple but important way to see this commutativity is to recognize that we have a chain of groups
in which is identified with the subgroup of
consisting of permutations which fix
This gives a chain of subalgebras
in which is the span of all permutations which fix
Each of these subalgebras comes with its own center
and while the commutative subalgebras
are not nested (in fact for
) they commute with one another, and the the JM-elements
belong to the commutative subalgebra
generated by their union,
We proved that pairwise commute by showing that they are contained in the algebra
Indeed, we have that
is contained in the commutative algebra generated by in
The key result which marks the transition from linear algebra to polynomial algebra in Math 202C is the following.
Theorem 9.1. We have
where is the elementary symmetric polynomial of degree
A good way to test your understanding of this key result is to solve the following problem.
Problem 9.2. Prove that the exponential distance operator of the Cayley graph
factors as
Deduce from this that is invertible for all complex
satisfying
Theorem 9.1 is what led us into a discussion of polynomials in general, and symmetric polynomials in particular. The algebra of polynomials in
commuting selfadjoint variables has basis
indexed by the set of nonnegative integer vectors
We equip
with the scalar product in which
is orthonormal. We then have the orthogonal decomposition
where
with
We consider the (infinite-dimensional) unitary representation of the symmetric group
in which
is the polynomial algebra as above and
The space of invariants is (by definition) the algebra of symmetric polynomials in
commuting selfadjoint variables. It has the orthogonal decomposition
with An orthogonal basis for
is given by the monomial symmetric polynomials
where ranges over the set
of nonnegative integer vectors with weakly decreasing coordinates, and
is the set of all
’s whose weakly decreasing rearrangement is
.
Problem 9.3. Give a bijection between
and the set of all
-element subsets of
Express the sum of the elements of
in terms of the sum
of the coordinates of
The elementary symmetric polynomials are defined by
,
where is the vector whose first
coordinates equal
and remaining coordinates equal
For
, we declare
to be the zero polynomial. Let
be the set of nonnegative integer vectors of infinite length whose coordinates are weakly decreasing and eventually equal zero, and define
.
The condition is necessary and sufficient in order that
is not the zero polynomial, and we proved that
is a basis of This result is called the fundamental theorem of symmetric polynomials.
We are now going to consider a further algebraic consequence of this result. Let be the convolution algebra of the symmetric group
. For each
the symmetric group
is isomorphic to the subgroup of
consisting of permutations which fix the numbers
Thus we can view
as the subalgebra of
with basis
Let
denote the center of
sitting inside
The Jucys-Murphy algebra
is by definition the commutative subalgebra of
generated by the set
Within this subalgebra we have the Jucys-Murphy elements
where is the conjugacy class of transpositions in
One of our first results is that level sets
are elementary symmetric polynomials evaluated on JM-elements,
Since , combining this with the fundamental theorem of symmetric polynomials gives the following.
Theorem 9.2. For any we have
In words, this says that when you evaluate any arbitrary symmetric polynomial on the Jucys-Murphy elements and expand this out as a linear combination of permutations, every pair of conjugate permutations appears with the same coefficient.
As an example, let us consider the complete homogeneous symmetric polynomials, which are defined as
,
where the sum is over all partitions of .
Problem 9.4 Prove that
and deduce from this that
where is the number of
-step monotone walks
on the Cayley graph of
Thus, the function counts factorizations
of a given permutation into transpositions subject to the condition
Problem 9.2 shows that depends only on the cycle type of
Although this fact has been known for over fifteen years, no combinatorial explanation has been found.
I will say a bit more about this enumerative problem since I know that some of you are Stirling number aficionados. For any permutation the minimum length of a factorization of
into transpositions is
and this upper bound of course applies to weakly monotone factorizations as well. Moreover, since we know that there exists a unique strictly monotone geodesic
there is at least one weakly monotone geodesic.
Theorem 9.2. The number of weakly monotone factorizations of a full cycle into
transpositions is
where are the central factorial numbers of the second kind.
The central factorial numbers are certain generalizations of Stirling numbers which appear in quite a variety of situations.
The upshot of the above is that we actually know a few things about the algebra for the all-transpositions Cayley graph
of the symmetric group. Not only do we know that the distance operators
, we have a polynomial representation of them in terms of the JM-operators
In particular, we know that the commutative algebra
is a subalgebra of
. Over the course of the next two lectures, we will prove that in fact
We will then pivot and give a completely different spectral description of this algebra in terms of a distinguished orthonormal basis of
, known as its Gelfand-Tsetlin basis.