Issue |
Wuhan Univ. J. Nat. Sci.
Volume 30, Number 2, April 2025
|
|
---|---|---|
Page(s) | 103 - 110 | |
DOI | https://doi.org/10.1051/wujns/2025302103 | |
Published online | 16 May 2025 |
Mathematics
CLC number: O175.28
Time Decay of Linearized Isentropic 2D Bipolar Navier-Stokes-Poisson System
二维线性等熵双极Navier-Stokes-Poisson方程的时间衰减
School of Mathematics, Hohai University, Nanjing 211100, Jiangsu, China
Received:
7
July
2024
Cauchy problem for the linearized bipolar isentropic Navier-Stokes-Poisson system in is studied. Through the reformulation of unknown functions, we change the formal system into a linearized Navier-Stokes system and a unipolar Navier-Stokes-Poisson system. Based on a delicate analysis of the corresponding Green function,
decay estimate of the solution is obtained.
摘要
本文考虑二维空间线性等熵双极Navier-Stokes-Poisson方程的柯西问题。通过对未知函数的重组,我们把原方程组转化成线性的Navier-Stokes和单极Navier-Stokes-Poisson方程组之和。通过对相应格林函数的详细分析,得到解的衰减估计。
Key words: bipolar Navier-Stokes-Poisson system / Green function / L2 decay
关键字 : 双极Navier-Stokes-Poisson方程组 / 格林函数 / L2衰减
Cite this article: XU Hongmei, GUO Xiaoxiao. Time Decay of Linearized Isentropic 2D Bipolar Navier-Stokes-Poisson System[J]. Wuhan Univ J of Nat Sci, 2025, 30(2): 103-110.
Biography: XU Hongmei, female, Associate professor, research direction: partial differential equations. E-mail: xxu_hongmei@163.com
Foundation item: Supported by the National Natural Science Foundation of China (12271141)
© Wuhan University 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
0 Introduction
Cauchy problem of the two-dimensional bipolar Navier-Stokes-Poisson (BNSP) system has the following formulation:
Here the unknown functions ,
represent the density of ions and electrons,
,
are the momentum of ions and electrons,
is the electrostatic potential.
and div are the usual gradient and the divergence operator.
,
,
,
are constant positive viscosity coefficients. Pressure functions
,
have positive derivatives. The electrons have charge
and the ions have charge
where
,
are positive constants. For simplicity, we set
.
The BNSP system is used to describe the dynamics of two separate compressible fluids of ions and electrons with their self-consistent electromagnetic field. It is a hyperbolic parabolic coupling system. Because of its physical importance and mathematical challenges, there were extensive studies on the asymptotic and global existence of the BNSP system. For example, Refs. [1-5] dealt with different forms of BNSP, and got the global existence of classical solution and its decay. But most results are about space dimension . There are few results about space
. This paper studies
decay estimate of a linearized two-dimensional BNSP system.
Throughout this paper, denotes the Lebesgue integrable space function,
means the Sobolev space function.
denote some general positive constants.
1 Reformulation and Linearization
Suppose the initial value of (1) tends to equilibrium state
as
Set
,
,
,
. Then (1) can be rewritten as
System (2) can be reformulated as a linear part plus a nonlinear part.
The left side of (3) is the linearized part of (2) near , and the right side of (3) is the nonlinearized part. For simplicity, we denote the perturbation
,
,
,
as
,
,
,
, so the linearized system of (1) near the state
is
where ,
.
Our final result in this paper is the following theorem.
Theorem 1 If the initial data ,
,
we have the following estimate:
If , for any positive
, we have
,
Further on, if , for any positive
, we have
,
.
Remark 1 From Theorem 1, the perturbation of the sum of density and momentum decay at the rate , the perturbation of the difference of density decay at the rate
, but the difference of momentum hardly decay at
because of the influence of the electronic field. Due to the low decay rate, it is difficult to go on the global existence of the system.
We want to separate system (4) into several small sets of equations. Considering the fifth equation of (4), we denote ,
,
,
, (4) is equal to the following system:
For simplicity, we suppose ,
,
, denote
,
,
. System (5) can be separated into the following two systems
We find that (6) is a linearized isentropic Navier-Stokes (NS) system while (7) is a linearized unipolar Navier-Stokes-Poisson (NSP) system. We study them respectively in the next step.
2
Decay of Linearized NS System
If the initial data of (6) is , according to (1.3) in Ref. [6], we have
where is a
unit matrix,
From (9), when is small enough, there is no problem with the decay estimate for the Green function; when
is bounded and away from zero,
may tend to zero, so we need to consider the integrability of the Green function; when
is large enough, for example,
has no
bounds. Next, we will divide frequency into three different parts and will use different methods to consider the decay rate respectively.
When , we have
We find the construction of is like that of
in Ref. [7]. Initiated by the estimation method in Ref. [7], we get
Similarly
Thus
Using the same method, we can get
When , there exist positive constant
such that
.
Because ,
are smooth functions, we can easily get
When , notice
for some positive
, then
we have
Next, we consider
Since we have
then
From (9) and (14), we have
If we fix we have
From (15), (16), and (17) , when is large enough, we have
From (8) and (18), we have
Together with (8), (10), (11), (12), (13), (19), and (20), we get our results.
Theorem 2 Suppose , there exists a positive constant
such that max
. Further on, when
is large enough, we have
Remark 2 From Theorem 2, we know our decay estimate about is optimal.
3
Decay of Linearized NSP System
Suppose the initial data of (7) is , using the method of Ref. [8], the solution of (7) can be expressed as
where
When , and
is small enough, we have
then
Similarly
From (21), (25), and (26), we have
But for , we need a much more delicate analysis.
If , for any positive
, from (22) and (24), we have
From (22), (26), (27) and (29), if , for any positive
, we have
when ,
with
large enough, using the same method as that of (11), and (12), we can also get
Together with (28), (30), (31) and (32), we have
Theorem 3 Suppose ,
for any positive
, there exists a positive constant
such that
Theorem 4 If , for any positive
, we have
,
.
Proof From (23) and (24), we have
Fix t large enough,
Because
from (33), (34) and (35), we have
Similarly, we have
Together with (21), (22), (36) and (37), we get our results.
Considering the meaning of ,
,
,
, combining Theorem 2, Theorem 3, and Theorem 4, we have the conclusion of Theorem 1 in this paper.
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