University of Sydney
School of Mathematics and Statistics
Dr Nicholas S. Witte
Department of Mathematics and Statistics & School of Physics
University of Melbourne
Random matrix theory and integrable dynamical systems
Wednesday, 28th March, 2-3pm, Carslaw 159 .
Note highly unusual place!
Having originated in mathematical statistics and nuclear physics,
random matrix theory now occupies a unique position at the crossroads
of many theoretical systems in mathematics and physics. It is the
theoretical paradigm for quantum systems whose underlying classical
dynamics is strongly chaotic and explains the universal features
found in them (and forms the basis of an unproven conjecture by
Bohigas, Gianonni and Schmit). Other applications in physics
include 2-D quantum gravity, quantum chromodynamics, transport in
disordered mesoscopic systems and integrable hierarchies such as
the Kadomtsev-Petviashvili hierarchy to name a few.
In mathematics there are numerous combinatorial problems---shape
fluctuations in random growth models, random tilings, longest
increasing subsequences in random words, random permutations
and involutions, vicious random walker models, random Young
tableaux, etc.---that are equivalent to a random matrix problem.
And it is known to great accuracy that the local spacing
distribution of the high zeros of the Riemann zeta function on
the critical line follow those of the eigenvalues of large random
hermitian matrices (the Montgomery-Odlyzko conjecture), and this
constitutes the most convincing evidence for a spectral
interpretation of these zeros.
However, in this talk I wish to discuss another issue---the connection
with integrable dynamical systems, which has been the subject of
recent work done in collaboration with Peter Forrester (Melbourne)
and Chris Cosgrove (Sydney). There is an intimate connection between
classes of random matrix ensembles associated with the classical
orthogonal polynomial systems, and nonlinear integrable dynamical
systems of the Painlev\'e type. This correspondence will be
illustrated with the example of the Gaussian unitary ensemble and
the Painlev\'e transcendents P-IV and P-II utilising the Okamoto
and Noumi-Yamada formulation of Painlev\'e theory, although it is
known to be generally true that the probability of finding a gap
in the spectrum of matrix ensembles is a $\tau$-function in the
Painlev\'e theory. Some new perspectives on Painlev\'e theory
will be presented and a number of open questions will be posed
as a consequence of this.