sigma06-085. 241KB Jun 04 2011 12:09:56 AM

Symmetry, Integrability and Geometry: Methods and Applications

Vol. 2 (2006), Paper 085, 12 pages

Multivariable Christof fel–Darboux Kernels
and Characteristic Polynomials
of Random Hermitian Matrices⋆
Hjalmar ROSENGREN
Department of Mathematical Sciences, Chalmers University of Technology
and G¨
oteborg University, SE-412 96 G¨
oteborg, Sweden
E-mail: [email protected]
URL: http://www.math.chalmers.se/~hjalmar/
Received October 11, 2006; Published online December 04, 2006
Original article is available at http://www.emis.de/journals/SIGMA/2006/Paper085/
Abstract. We study multivariable Christoffel–Darboux kernels, which may be viewed as
reproducing kernels for antisymmetric orthogonal polynomials, and also as correlation functions for products of characteristic polynomials of random Hermitian matrices. Using their
interpretation as reproducing kernels, we obtain simple proofs of Pfaffian and determinant
formulas, as well as Schur polynomial expansions, for such kernels. In subsequent work,
these results are applied in combinatorics (enumeration of marked shifted tableaux) and

number theory (representation of integers as sums of squares).
Key words: Christoffel–Darboux kernel; multivariable orthogonal polynomial; Pfaffian; determinant; correlation function; random Hermitian matrix; orthogonal polynomial ensemble;
Sundquist’s identities
2000 Mathematics Subject Classification: 15A15; 15A52; 42C05

Dedicated to the memory of Vadim Kuznetsov

1

Introduction

The Christoffel–Darboux kernel plays an important role in the theory of one-variable orthogonal
polynomials. In the present work, we study a multivariable extension, which can be viewed
as a reproducing kernel for anti-symmetric polynomials. As is explained below, our original
motivation came from a very special case, having applications in number theory (sums of squares)
and combinatorics (tableaux enumeration). More generally, this kind of kernels occur in random
matrix theory as correlation functions for products of characteristic polynomials of random
Hermitian matrices. The purpose of the present note is to highlight a number of useful identities
for such kernels. Although, as we will make clear, the main results can be found in the literature,
they are scattered in work belonging to different disciplines, so it seems useful to collect them

in one place. Moreover, our proofs, with the interpretation as reproducing kernels, are new and
conceptually very simple.
We first recall something of the one-variable theory. Let
Z
f 7→ f (x) dµ(x)


This paper is a contribution to the Vadim Kuznetsov Memorial Issue “Integrable Systems and Related Topics”.
The full collection is available at http://www.emis.de/journals/SIGMA/kuznetsov.html

2

H. Rosengren

be a linear functional defined on polynomials of one variable. We denote by Vn the space of
polynomials of degree at most n − 1. Assuming that the pairing
Z
hf, gi = f (x)g(x) dµ(x)
is non-degenerate on each Vn (for instance, if it is positive definite), there exists a corresponding
system (pk (x))∞

k=0 of monic orthogonal polynomials. We may then introduce the Christoffel–
Darboux kernel
K(x, y) =

n−1
X
k=0

pk (x)pk (y)
,
hpk , pk i

which is the reproducing kernel of Vn , that is, the unique function such that (y 7→ K(x, y)) ∈ Vn
and
Z
f (x) = f (y)K(x, y) dµ(y),
f ∈ Vn .
The Christoffel–Darboux formula states that
K(x, y) =


pn (x)pn−1 (y) − pn−1 (x)pn (y)
1
.
hpn−1 , pn−1 i
x−y

More generally, let Vnm , 0 ≤ m ≤ n, denote the mth exterior power of Vn . It will be identified
with the space of antisymmetric polynomials f (x) = f (x1 , . . . , xm ) that are of degree at most
n − 1 in each xi . Writing
Z
Z
1
f (x) dµm (x) =
f (x1 , . . . , xm ) dµ(x1 ) · · · dµ(xm ),
m!
we equip Vnm with the pairing
Z
hf, giVnm = f (x)g(x) dµm (x).
Equivalently, in terms of the spanning vectors



det (fj (xi )),

1≤i,j≤m


det (gj (xi ))

1≤i,j≤m

=
Vnm

det (fj (xi )), fj ∈ Vn ,

1≤i,j≤m

det (hfi , gj iVn ).

1≤i,j≤m


(1)

Every element of Vnm is divisible by the polynomial
Y
∆(x) =
(xj − xi ).
1≤i

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