Asymptotic estimates of solution to damped fractional wave equation

IF 1.5 3区 数学 Q1 MATHEMATICS
Meizhong Wang, Dashan Fan
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引用次数: 0

Abstract

It is known that the damped fractional wave equation has the diffusive structure as $t\rightarrow \infty $ . Let $u(t,x)=e^{-t}\cosh (t\sqrt{L})f(x)+e^{-t} \frac{\sinh (t\sqrt{L})}{\sqrt{L}}(f(x)+g(x))$ be the solution of the Cauchy problem for the damped fractional wave equation, where $\sqrt{L}$ involves the fractional Laplacian $(-\triangle )^{\alpha}$ on the space variable. We can study the decay estimate of the solution $u(t,x)$ over the time t by means of the Cauchy problem for the parabolic equation. In this paper, we consider, for $0<\alpha <1$ , the Cauchy problem in the two- and three-dimensional spaces for the damped fractional wave equation and the corresponding parabolic equation and obtain the Triebel–Lizorkin space estimate of the difference of solutions. At the same time, we also consider, for $\alpha =1$ , the case of the Cauchy problem in the four-dimensional space and obtain a Triebel–Lizorkin space estimate.
阻尼分数波方程解的渐近估计
众所周知,阻尼分式波方程的扩散结构为 $t\rightarrow \infty $ 。让 $u(t,x)=e^{-t}\cosh (t\sqrt{L})f(x)+e^{-t}\(t\sqrt{L})}{sqrt{L}}(f(x)+g(x))$ 是阻尼分式波方程考奇问题的解,其中 $\sqrt{L}$ 涉及空间变量上的分式拉普拉斯函数 $(-\triangle )^{alpha}$ 。我们可以通过抛物方程的考奇问题来研究解 $u(t,x)$ 在时间 t 上的衰减估计。在本文中,我们考虑了在 $0<\alpha <1$ 时,阻尼分式波方程和相应抛物方程在二维和三维空间中的 Cauchy 问题,并得到了解的差值的 Triebel-Lizorkin 空间估计。同时,我们还考虑了 $\alpha =1$ 时四维空间中的 Cauchy 问题,并得到了 Triebel-Lizorkin 空间估计值。
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来源期刊
自引率
6.20%
发文量
136
期刊介绍: The aim of this journal is to provide a multi-disciplinary forum of discussion in mathematics and its applications in which the essentiality of inequalities is highlighted. This Journal accepts high quality articles containing original research results and survey articles of exceptional merit. Subject matters should be strongly related to inequalities, such as, but not restricted to, the following: inequalities in analysis, inequalities in approximation theory, inequalities in combinatorics, inequalities in economics, inequalities in geometry, inequalities in mechanics, inequalities in optimization, inequalities in stochastic analysis and applications.
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