INTRODUCTION

The Gaussian Unitary Ensemble (GUE) is the set of all hermitian matrices together with a unique probability measure Pb(H)Õi=1N dxi with the following properties:
  1. If H is a hermitian matrix and U is a unitary matrix then Pb (H) = Pb (UHU*)

  2. If H has a side of length N then Pb (H) is a product of N2 functions, each of which depends on a single variable.

Property (1) states that Pb (H) depends only on the eigenvalues of H. To see this, recall that any hermitian matrix is diagonalizable via conjugation by some unitary matrix. If U is a unitary matrix that diagonalizes H and if D = UHU* then the diagonal elements of D are exactly the eigenvalues of H in some order and Pb (D) = Pb (H). Property (2) says that Pb makes the elements of H into independent random variables. With some work it follows from these properties that for the GUE of N×N matrices,
PNb (H) N
Õ
i=1 
dxi = (ZNb)-1exp(  -Nb

2
N
å
i=1 
xi2)
Õ
1 £ i < j £ N 
|xi - xj|b N
Õ
i=1 
dxi
where
ZNb = ó
õ


RN 
exp(  -Nb

2
N
å
i=1 
xi2)
Õ
1 £ i < j £ N 
|xi - xj|b N
Õ
i=1 
dxi.
We want to consider Hermitian matrices with a probability measure PNb(H)Õi=1N dxi as above, but we replace [(x2)/2] with some function V in the exponential, where V diverges nicely at ±¥. Also, if x1, ..., xN are the eigenvalues of H then we will regard PNb,V as a function of the x1,..., xN. Thus,
PNb,V(x1, ..., xN) N
Õ
i=1 
dxi = (ZNb,V)-1exp(-Nb N
å
i=1 
V(x))
Õ
1 £ i < j £ N 
|xi - xj|b N
Õ
i=1 
dxi,
where ZNb,V is once again a normalization constant. Note that the collection of Hermitian matrices together with this new measure is not the GUE. The function PNb,V(x1, ..., xN) is the Probability Density of finding N eigenvalues around the points x1, ...,xN. Suppose now that we only want the probability density of finding n eigenvalues around the points x1, ..., xn. This is given by the n-point Correlation Function
rn,Nb,V(x1, ..., xn) =  N!

(N-n)!
ó
õ


RN-n 
PNb,V(x1, ...,xN) N
Õ
i=n+1 
dxi.



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On 24 Jul 2003, 22:00.