Academy of Mathematics and Systems Science, CAS
Colloquia & Seminars

Speaker:	陈可，复旦大学
Inviter:
Title:	Global well-posedness of the 1d compressible Navier-Stokes system with rough data
Language:	Chinese
Time & Venue:	2023.01.11 09:30-11:30 腾讯会议号：210376361
Abstract:	We study the global well-posedness problem for the 1d compressible Navier-Stokes systems (cNSE) in gas dynamics with rough initial data. First, Liu and Yu (Commun Pure Appl Math 75(2):223-348, 2022) established the global well-posedness theory for the 1d isentropic cNSE with initial velocity data in BV space. Then, it was extended to the 1d full cNSE with initial velocity and temperature data in BV space by Wang-Yu-Zhang (Arch Rational Mech Anal 245, 375-477,2022). We improve the global well-posedness result of Liu and Yu with initial velocity data in $W^{2\gamma,1}$ space; and of Wang-Yu-Zhang with initial velocity data in $ L^2\cap W^{2\gamma,1}$ space and initial data of temperature in $\dot W^{-\frac{2}{3},\frac{6}{5}}\cap \dot W^{2\gamma-1,1}$ for any $\gamma>0$ \textit{arbitrary small}. Our essential ideas are based on establishing various ``end-point" smoothing estimates for the 1d parabolic equation.