Award Abstract # 0354962
Scaling and universality in random matrix models, random polynomials and statistical physics

NSF Org: DMS
Division Of Mathematical Sciences
Recipient: TRUSTEES OF INDIANA UNIVERSITY
Initial Amendment Date: June 15, 2004
Latest Amendment Date: June 12, 2006
Award Number: 0354962
Award Instrument: Continuing Grant
Program Manager: Joe W. Jenkins
DMS
 Division Of Mathematical Sciences
MPS
 Directorate for Mathematical and Physical Sciences
Start Date: July 1, 2004
End Date: June 30, 2007 (Estimated)
Total Intended Award Amount: $141,000.00
Total Awarded Amount to Date: $141,000.00
Funds Obligated to Date: FY 2004 = $47,000.00
FY 2005 = $47,000.00

FY 2006 = $47,000.00
History of Investigator:
  • Pavel Bleher (Principal Investigator)
    bleher@math.iupui.edu
Recipient Sponsored Research Office: Indiana University
107 S INDIANA AVE
BLOOMINGTON
IN  US  47405-7000
(317)278-3473
Sponsor Congressional District: 09
Primary Place of Performance: Indiana University-Purdue University at Indianapolis
107 S INDIANA AVE
BLOOMINGTON
IN  US  47405-7000
Primary Place of Performance
Congressional District:
09
Unique Entity Identifier (UEI): YH86RTW2YVJ4
Parent UEI:
NSF Program(s): ANALYSIS PROGRAM
Primary Program Source: app-0104 
app-0105 

app-0106 
Program Reference Code(s): 0000, OTHR
Program Element Code(s): 128100
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.049

ABSTRACT

ABSTRACT
Bleher

This research project is directed on fundamental problems of the
theory of random matrices and random polynomials and their
applications, and on related problems in statistical physics. The
cornerstone of the problems is different conjectures of universality,
which state that as the size of a random matrix (or the degree of a
random polynomial) approaches infinity, the correlations between
properly scaled eigenvalues (or zeros) approach a universal limit. In
the current project the PI continues his studies of the universality
in random matrix models, random polynomials, and statistical
physics. This includes: (i) The Riemann-Hilbert (RH) approach to
double scaling limits in random matrix models. (ii) RH approach to
random matrices with external source. (iii) Semiclassical asymptotics
and RH approach to multi-matrix models. (iv) RH approach to the
six-vertex model of statistical physics. (v) Scaling limits and
universality in non-Gaussian ensembles of random polynomials and
random algebraic varieties.

The project has an interdisciplinary character and it lies on the
frontier between physics and mathematics. The problems of scaling and
universality are central in many areas of modern science: theory of
critical phenomena and phase transitions, statistical physics and
quantum field theory, theory of quantum chaos, nonlinear dynamics,
etc. This project is directed on development of powerful mathematical
methods to the problems of scaling and universality in the theory of
random matrices, random polynomials, and related topics. It involves
different areas of mathematics: analysis, theory of integrable
systems, probability theory, semiclassical asymptotics for systems of
differential equations, complex analysis, etc. The research project
under consideration has direct applications to various physical
problems: combinatorial asymptotics related to quantum gravity,
exactly solvable models of statistical physics, spin systems on random
surfaces, theory of critical phenomena and phase transitions, quantum
chaos. Possible further applications include theory of knots and
links and related problems in molecular biology, growth models,
statistical data analysis, and others.

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