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A $\dbar$-steepest descent method for oscillatory Riemann-Hilbert problems

Authors :
Wang, Fudong
Ma, Wen-Xiu
Publication Year :
2020

Abstract

We study the asymptotic behavior of Riemann-Hilbert problems (RHP) arising in the AKNS hierarchy of integrable equations. Our analysis is based on the $\dbar$-steepest descent method. We consider RHPs arising from the inverse scattering transform of the AKNS hierarchy with $H^{1,1}(\R)$ initial data. The analysis will be divided into three regions: fast decay region, oscillating region and self-similarity region (the Painlev\'e region). The resulting formulas can be directly applied to study the long-time asymptotic of the solutions of integrable equations such as NLS, mKdV and their higher-order generalizations.<br />Comment: 37 pages, 7 figures; updated version (v2)

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2011.14205
Document Type :
Working Paper