Sharp decay characterization for the compressible Navier-Stokes equations

被引:0
作者
Brandolese, Lorenzo [1 ]
Shou, Ling-Yun [2 ]
Xu, Jiang [2 ]
Zhang, Ping [3 ,4 ,5 ]
机构
[1] Univ Claude Bernard Lyon 1, Inst Camille Jordan, CNRS, UMR 5208, F-69622 Villeurbanne, France
[2] Nanjing Univ Aeronaut & Astronaut, Sch Math, Nanjing 211106, Peoples R China
[3] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
[4] Chinese Acad Sci, Hua Loo Keng Key Lab Math, Beijing 100190, Peoples R China
[5] Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金; 中国博士后科学基金;
关键词
Compressible Navier-Stokes; equations; Upper bounds; Lower bounds; Decay estimates; Critical spaces; LARGE-TIME BEHAVIOR; GLOBAL WELL-POSEDNESS; CRITICAL SPACES; WEAK SOLUTIONS; VISCOUS-FLUID; EXISTENCE; FLOW; UNIQUENESS; THEOREM; MOTION;
D O I
10.1016/j.aim.2024.109905
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The low-frequency L 1 assumption has been extensively applied to the large-time asymptotics of solutions to the compressible Navier-Stokes equations and incompressible NavierStokes equations since the classical efforts due to Kawashima, Matsumura, Nishida, Ponce, Schonbek and Wiegner. In this paper, we establish a sharp decay characterization for the compressible Navier-Stokes equations in the critical L p framework. Precisely, it is proved that the Besov space boundedness condition (with d 2 - 2dp dp = s 1 < d 2 - 1) of the low-frequency part of initial perturbation is not only sufficient, but also necessary to achieve those upper bounds of time-decay estimates. Furthermore, we show that the upper and lower bounds of time-decay estimates hold if and only if the low-frequency part of initial perturbation belongs to a nontrivial subset of B ? s 1 2,8. , 8 . To the best of our knowledge, our B ? s 1 2,8- , 8- work is the first one addressing the inverse problem for the large-time asymptotics of compressible viscous fluids. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
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页数:60
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