带麦克斯韦定律的松弛可压缩Navier-Stokes方程奇异极限中的扩散波

IF 1.2 3区 数学 Q1 MATHEMATICS Journal of Mathematical Analysis and Applications Pub Date : 2025-06-01 Epub Date: 2025-01-06 DOI:10.1016/j.jmaa.2024.129218
Zhao Wang
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引用次数: 0

摘要

本文研究了具有麦克斯韦定律的一维完全可压缩Navier-Stokes方程的低马赫数和弛豫时间组合极限,其中密度和温度在远场具有不同的渐近状态。对准备充分和准备不足的初始数据都考虑了这些问题。证明了在充分准备的初始数据下,当马赫数和弛豫时间同时趋近于零,且无穷远处状态差适当小时,弛豫可压缩系统的解在时间上全局收敛为一个速度与温度变化成正比的非线性扩散波。此外,当马赫数和松弛时间适当小时,松弛可压缩系统的解也有相同的现象。对于准备不足的初始数据,在无穷远处状态之间的差可以是任意大的。
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Diffusive wave in the singular limit for the relaxed compressible Navier-Stokes equations with Maxwell's law
In this paper, we investigate the combined low Mach number and relaxation time limits for one-dimensional full compressible Navier-Stokes equations with Maxwell's law, where the density and temperature have different asymptotic states at far fields. The problems are considered for both well-prepared and ill-prepared initial data. It is proved that, for the well-prepared initial data, as Mach number and relaxation time tend to zero simultaneously and the difference between the states at infinity is suitably small, the solution to the relaxed compressible system converges globally in time to a nonlinear diffusion wave of which the velocity is proportional with the variation of temperature. Furthermore, it is shown that the solution to the relaxed compressible system also has the same phenomenon when Mach number and relaxation time are suitably small. For the ill-prepared initial data, the difference between the states at infinity can be arbitrary large.
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来源期刊
CiteScore
2.50
自引率
7.70%
发文量
790
审稿时长
6 months
期刊介绍: The Journal of Mathematical Analysis and Applications presents papers that treat mathematical analysis and its numerous applications. The journal emphasizes articles devoted to the mathematical treatment of questions arising in physics, chemistry, biology, and engineering, particularly those that stress analytical aspects and novel problems and their solutions. Papers are sought which employ one or more of the following areas of classical analysis: • Analytic number theory • Functional analysis and operator theory • Real and harmonic analysis • Complex analysis • Numerical analysis • Applied mathematics • Partial differential equations • Dynamical systems • Control and Optimization • Probability • Mathematical biology • Combinatorics • Mathematical physics.
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