The matching condition for larger size Riemann-Hilbert problems

Molag L (2021)
Journal of Approximation Theory 263: 105536.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Abstract / Bemerkung
In a larger size Riemann-Hilbert problem matching the local parametrices with the global parametrix is often a major technical issue. In this article we present a result that should tackle this problem in natural situations. We prove that, in a general setting, it is possible to obtain a double matching, that is, a matching condition on two circles instead of one circle. We discuss how this matching approach can be used to obtain local scaling limits of correlation kernels and apply our result to several examples from the existing literature. (C) 2021 Elsevier Inc. All rights reserved.
Erscheinungsjahr
2021
Zeitschriftentitel
Journal of Approximation Theory
Band
263
Art.-Nr.
105536
ISSN
0021-9045
eISSN
1096-0430
Page URI
https://pub.uni-bielefeld.de/record/2951293

Zitieren

Molag L. The matching condition for larger size Riemann-Hilbert problems. Journal of Approximation Theory. 2021;263: 105536.
Molag, L. (2021). The matching condition for larger size Riemann-Hilbert problems. Journal of Approximation Theory, 263, 105536. https://doi.org/10.1016/j.jat.2020.105536
Molag, L. (2021). The matching condition for larger size Riemann-Hilbert problems. Journal of Approximation Theory 263:105536.
Molag, L., 2021. The matching condition for larger size Riemann-Hilbert problems. Journal of Approximation Theory, 263: 105536.
L. Molag, “The matching condition for larger size Riemann-Hilbert problems”, Journal of Approximation Theory, vol. 263, 2021, : 105536.
Molag, L.: The matching condition for larger size Riemann-Hilbert problems. Journal of Approximation Theory. 263, : 105536 (2021).
Molag, Leslie. “The matching condition for larger size Riemann-Hilbert problems”. Journal of Approximation Theory 263 (2021): 105536.

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®

Suchen in

Google Scholar