The Riemann-Hilbert method. Toeplitz determinants as a case study

1 hour 33 mins,  357.54 MB,  iPod Video  480x270,  30.0 fps,  44100 Hz,  524.9 kbits/sec
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Description: Its, A
Thursday 24th October 2019 - 14:00 to 15:30
 
Created: 2019-10-25 10:42
Collection: Complex analysis: techniques, applications and computations
Publisher: Isaac Newton Institute
Copyright: Its, A
Language: eng (English)
Distribution: World     (downloadable)
Explicit content: No
Aspect Ratio: 16:9
Screencast: No
Bumper: UCS Default
Trailer: UCS Default
 
Abstract: The Riemann-Hilbert method is one of the primary analytic tools of modern theory
of integrable systems. The origin of the method goes back to Hilbert's 21st prob-
lem and classical Wiener-Hopf method. In its current form, the Riemann-Hilbert
approach exploits ideas which goes beyond the usual Wiener-Hopf scheme, and
they have their roots in the inverse scattering method of soliton theory and in the
theory of isomonodromy deformations. The main \beneciary" of this, latest ver-
sion of the Riemann-Hilbert method, is the global asymptotic analysis of nonlinear
systems. Indeed, many long-standing asymptotic problems in the diverse areas of
pure and applied math have been solved with the help of the Riemann-Hilbert
technique.
One of the recent applications of the Riemann-Hilbert method is in the theory
of Toeplitz determinants. Starting with Onsager's celebrated solution of the two-
dimensional Ising model in the 1940's, Toeplitz determinants have been playing
an increasingly important role in the analytic apparatus of modern mathematical
physics; specically, in the theory of exactly solvable statistical mechanics and
quantum eld models.
In these two lectures, the essence of the Riemann-Hilbert method will be pre-
sented taking the theory of Topelitz determinants as a case study. The focus will
be on the use of the method to obtain the Painleve type description of the tran-
sition asymptotics of Toeplitz determinants. The RIemann-Hilbert view on the
Painleve functions will be also explained.
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