粘性气态恒星稳定性的拐点原理

IF 1.6 2区 数学 Q1 MATHEMATICS
Ming Cheng , Zhiwu Lin , Yucong Wang
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引用次数: 0

摘要

我们研究了用Navier-Stokes-Poisson系统建模的非旋转粘性气体恒星的稳定性。基于状态方程的一般假设,我们证明了线性化的Navier-Stokes-Poisson系统的不稳定模态数与线性化的Euler-Poisson系统的不稳定模态数相匹配。拐点原理尤其适用于具有粘性的非旋转恒星。这个原理断言,这些恒星的稳定性是由中心密度参数化的质量半径曲线决定的。稳定性的转变只发生在总质量的极值处。为了证明我们的结论,我们给出了一类具有耗散的抽象二阶线性方程的无限维Kelvin-Tait-Chetaev定理。此外,我们还证明了在球对称扰动下Navier-Stokes-Poisson系统的线性稳定性意味着非线性渐近稳定性,线性不稳定性意味着非线性不稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Turning point principle for the stability of viscous gaseous stars
We investigate the stability of non-rotating viscous gaseous stars, which are modeled by the Navier-Stokes-Poisson system. Based on general hypotheses concerning the equation of states, we demonstrate that the count of unstable modes in the linearized Navier-Stokes-Poisson system matches that of the linearized Euler-Poisson system modeling inviscid gaseous stars. In particular, the turning point principle holds for the non-rotating stars with viscosity. This principle asserts that the stability of these stars is determined by the mass-radius curve parameterized by the center density. The transition of stability only occurs at the extrema of the total mass. To substantiate our claims, we formulate an infinite-dimensional Kelvin-Tait-Chetaev Theorem for a class of abstract second-order linear equations with dissipation. Moreover, we prove that linear stability implies nonlinear asymptotic stability and linear instability implies nonlinear instability for the Navier-Stokes-Poisson system under spherically symmetric perturbations.
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来源期刊
CiteScore
3.20
自引率
5.90%
发文量
271
审稿时长
7.5 months
期刊介绍: The Journal of Functional Analysis presents original research papers in all scientific disciplines in which modern functional analysis plays a basic role. Articles by scientists in a variety of interdisciplinary areas are published. Research Areas Include: • Significant applications of functional analysis, including those to other areas of mathematics • New developments in functional analysis • Contributions to important problems in and challenges to functional analysis
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