Incompressible Limit of the Oldroyd-B Model with Density-Dependent Viscosity ()
1. Introduction
The Oldroyd-B model is a fundamental set of equations in the field of fluid dynamics, which is used to characterize the motion of fluids that display complex viscoelastic behavior under the influence of strain. In this paper, we consider the Oldroyd-B model with density-dependent viscosity in a bounded domain
,
or 3. For the incompressible fluids of Oldroyd-B type, the governing equations are of the following form (see [1] [2] , for instance):
(1)
(2)
(3)
where
, q,
are velocity, pressure and elastic part of the tangential stress tensor, respectively, and the density is usually set to be 1 without the loss of generality;
denotes the gradient of a scalar field, and
is Laplace operator,
and the viscosity coefficient
are positive constants, and
where
and
.
The motion of compressible fluids is governed by the following nonlinear equations:
(4)
(5)
(6)
where
,
,
are density, velocity and elastic stress tensor, respectively,
is the non-dimensional constant, and
is Mach number. Moreover, the pressure
is given by the equation of states
, where
satisfies
for
. The constants
and
are viscosity constants with
,
and
. For the derivation of the non-dimensional system (4)-(6), one may refer to [3] for the details.
In the physical standpoint, as the Mach number tends to zero, the solutions of the compressible system (4)-(6) converge to the solutions of the incompressible system (1)-(3), it is known as the incompressible limit. However, rigorously proving this limit process mathematically is a challenging problem. Since Ebin [4] in the 1970s, researchers have made a lot of research achievements on the incompressible limit of hydrodynamic models. Klainerman and Majda [5] establish a general framework for studying the incompressible limits of locally smooth solutions. For further research on the incompressible limit problem of hydrodynamics, refer to [6] - [12] .
Currently, significant progress has been made in the research outcomes of the Oldroyd-B model for the viscoelastic fluids. It is well known that long time existence of solutions to the viscoelastic equations depends on strong dispersive estimates (see [13] [14] for instance). The results by Klainerman [13] provided some answers for the wave equations based on the Lorentz invariance, and Sideris and Thomases [15] studied non-Lorentz invariant systems in three-dimensional space using weighted estimates method. However, none of these methods can be applied to Oldroyd-B model due to the existence of damping mechanisms. In
, the existence and uniqueness of local strong solutions of incompressible fluid satisfying the Oldroyd constitutive law are given by Guillopé and Saut [16] . In Besov spaces, Chemin and Masmoudi [2] studied the existence and uniqueness for local and global solutions.
In addition, Fang and Zi [17] investigated the incompressible limit of the Oldroyd-B model in the full space when the initial data and coupling constants are sufficiently small. They verify that when the Mach number tends to zero, the global solutions of compressible Oldroyd-B model converge to the solutions of the corresponding incompressible model. This demonstrates the existence of the solutions for the incompressible model, and the uniform estimates for the convergence rate are obtained. Lei [18] proved the incompressible limit of the Oldroyd-B model with small and “well-prepared” initial data in
, as well as the local and global existence of classical solutions. For the Oldroyd-B model in bounded domain, Ren and Ou [19] proved the incompressible limit of local strong solutions. It is worth noting that the existing conclusions on the incompressible limit problem show that the viscosity coefficient is constant, while the case of density-dependent viscosity has not been studied.
In this paper, the incompressible limit of local strong solutions of compressible Oldroyd-B model in a bounded domain
or
will be studied when the viscosity coefficient depends on the density, so as to prove the existence and uniqueness of local strong solutions of the compressible Oldroyd-B model. In a sense, it extends the result of constant viscosity coefficient in Ren and Ou [19] to the case where the viscosity coefficient depends on density. Moreover, compared with Ren and Ou [19] , the density-dependent viscosity will bring more difficulties to energy estimate. This is due to the fact that the boundary effects produce more troubles in the estimates for high-order derivatives. The main idea is to derive a uniform spatial-time energy estimate for the linearized system of (4)-(6) which yields the uniform estimates for the nonlinear system (4)-(6) and the corresponding incompressible limit, provided that the initial data are well prepared and uniformly bounded with respect to the Mach number.
We impose the following initial condition
(7)
and the slip boundary condition
(8)
where
is the bounded domain with smooth boundary
, n is the unit outer normal, and the vorticity
for
or
for
. The boundary condition (8) is a particular case of Navier’s slip boundary conditions which describe the interaction between a fluid and a wall,
(9)
where s is any unit tangential direction to
.
The main results of this paper are as follows.
Theorem 1.1 Let
be a bounded domain with smooth boundary
. Suppose that the initial datum
satisfies that for
, where
is a sufficiently large constant,
(10)
Assuming that the following compatibility conditions are satisfied for
and 2,
(11)
There are positive constants
and
independent of
, which make the initial-boundary problem (4)-(8) admit a unique solution
satisfying
(12)
Remark 1.1 The initial data of the time derivatives
are determined by (4)-(6) and
, e.g.,
. Similarly,
are determined by (4)-(6) and the initial data of the lower order time derivatives, e.g.,
Theorem 1.2 Let all the assumptions in Theorem 1 be satisfied. Then, the solution
to (4)-(8) satisfies that as
,
(13)
(14)
(15)
where
is the unique solution to the following incompressible Oldroyd-B system
(16)
(17)
(18)
in
associated with the initial condition
and the slip boundary conditions (8), where
is the Leray-projection on the divergence free vector fields and
is the weak limit of
in
.
2. Preliminaries and the Linearized Problem
During the subsequent proof, the following result is needed
(19)
where
for
,
for
.
Lemma 2.1 ( [20] ) Let
be a bounded domain in
with smooth boundary
and outward normal n. There is a constant
independent of u, such that
(20)
for any
.
Lemma 2.2 ( [21] ) Let
be a bounded domain in
with smooth boundary
and outward normal n. There is a constant
independent of u, such that
(21)
for any
.
Remark 2.1 The general form of the conclusions of Lemma 2.1 and Lemma 2.2 in the range [20] [21] is: there is a constant
independent of u, such that
and
for any
.
Lemma 2.3 ( [3] ). If
is a smooth function with
, then for any
, we have
with
provided that
, where C depends only on f, k and
.
It follows that for any smooth function
and any
, we can deduce that
(22)
Lemma 2.4 ( [22] , Part 1, Theorem 10.1) Let
be a bounded domain with
-boundary, and let u be any function in
with
. For any integer j with
, and for any number a in the interval
, set
If
is not a nonnegative integer, then
(23)
If
is a nonnegative integer, then (23) only holds for
. The constant C depends only on
.
In the following, we present some specific cases of Equation (23) in
or
.
Furthermore, according to the Sobolev embedding theorem, we have
To simplify the calculations in this chapter, we will ignore the superscripts in Equations (4)-(6). Let’s consider the linearization problem of Equations (4)-(6):
(24)
(25)
(26)
where
satisfies (7) and (8). When
and
, for any
,
and
satisfy the following inequalities:
(27)
(28)
(29)
where
is a known function dependent on
,
. Applying the method in [7] [15] , we find that the existence of solutions
to the linearized problem (24)-(26) satisfying the initial margin value conditions (7) and (8) in bounded regions
can be proved, which is omitted here. In the following, we will derive the uniform estimate for the solution
of the linearized system of equations with respect to
.
Lemma 2.5 Let
be the solution to the linearized problem (24)-(26) with (7) and (8) in
satisfying the initial conditions (10), which are defined recursively by (24)-(26), and the compatibility conditions (11). Then the solution
to the linearized problem satisfies the uniform-on-
estimates (12).
Remark 2.2 At the end of this section, we will introduce some notations for energy estimate. Norms
and
usually denote the commonly used Sobolev spaces, and the positive constant C,
does not depend on
. In addition, we usually assume that the constant
, and the constant
only depends on
. It is worth noting that C and
depend on M.
and
denote
and
respectively.
3. Uniform Estimates for the Linearized Problem
3.1. The Basic Estimate
In this section, we derive the uniform-on-
estimates for
to the linearized problem, which is stated in lemma 2.
Lemma 3.1 The following inequality holds:
(30)
Proof. Multiply both sides of Equations (24), (25) and (26) simultaneously by
,
and
respectively, then summarizing the integrals of the resulting equations on
, and finally by integration by parts we obtain that:
(31)
where
Note that lemma 2 is used in the above estimation, and the symmetry of
is used for estimating
. Thus, the lemma is proved by Grönwall’s inequality [23] [24] and lemma 2.
3.2. The Estimates of Low-Order Derivatives
Lemma 3.2 The following inequality holds
(32)
Proof. Integrating
on
, one has
According to (24), it follows that
In addition, based on the symmetry of
and the boundary condition
, it can be deduced that
A direct calculation shows that
(33)
On the other hand, integrating the product of (24) with
yields
(34)
Summarizing (33) and (34), the lemma is proved.
Lemma 3.3 The following inequality holds
(35)
Proof. Multiply
by
and then integrate the resulting equation on
, we have
(36)
Based on the relation
and the boundary condition (8), we can obtain
Multiply both sides of (25) by
and then integrate the resulting equation on
, it follows that
(37)
Therefore, with the above inequalities (36) and (37), the lemma is proved.
Lemma 3.4 The following inequality holds
(38)
Proof. Applying the operator
to Equation (26), multiplying the result by
and then integrating it, we obtain
where
Thus, the lemma is proved.
Lemma 3.5 Let
. We have
(39)
Proof. Applying the operator curl to Equation (26), multiplying the result by
and then integrating it, we deduce that
(40)
where
Multiply (40) by w and integrate it on
, one has
where
Based on boundary condition (8), it follows that
Thus, the lemma is proved by Lemma 2.
Lemma 3.6 The following inequality holds:
(41)
Proof. Taking the derivatives of Equations (24) and (25) with respect to t, respectively, one has
(42)
(43)
Then, multiply (26) by
and take the derivative of the result with respect to t, we have
(44)
Multiply both sides of Equations (42), (43) and (44) simultaneously by
,
and
respectively, then summarizing the integrals of the resulting equations on
, and finally by integration by parts we obtain that:
where
By applying the symmetry of
and integration by parts, one can derive that
. Therefore, the lemma is proved
According to Lemmas 3.1-3.2 and Lemmas 2-2, it follows that
(45)
By Grönwall’s inequality [25] , we obtain
Lemma 3.7 The following inequality holds
(46)
3.3. The Estimates of High-Order Derivatives
Lemma 3.8 The following inequality holds
(47)
Proof. Multiply
by
and then integrate it on
, one has
(48)
Then, integrate
on
, this implies
(49)
Therefore, the lemma is proved by (48) and (49).
Lemma 3.9 The following inequality holds
(50)
Proof. By applying the operator
to Equation (24), multiplying the result by
and then integrating it, we arrive at
(51)
Applying
to (25) and then integrate the resulting equation with
leads to
(52)
Thus, this lemma is proved by (51) and (52)
Lemma 3.10 The following inequality holds
(53)
Proof. According to (8), integrating (43) with
, this implies
(54)
Applying
to (24) and then integrate the resulting equation with
, it can be deduced that
(55)
Therefore, the lemma is proved.
Lemma 3.11 Let
. Then we have
(56)
Proof. Differentiate (40) with respect to t to obtain
(57)
where
. Base on (22) and
, it follows that
Multiply (57) by
and integrate it on
, one has
where
In addition, according to the boundary condition
, it can be deduced that
Thus, the lemma is proved.
Lemma 3.12 Let
, We have
(58)
Proof. By integrating
on
to obtain
where
Therefore, the lemma is proved.
We now star to estimate the second order derivative of
.
Lemma 3.13 The following inequality holds
(59)
Proof. Multiply
by
and then integrate on
, we obtain
where
By the symmetry of
, one has
Thus, the lemma is proved.
According to 3.1-3.3, Lemmas 2-2 and Grönwall’s inequality, we obtain
(60)
Using the Grönwall’s inequality and invoking the constraint conditions of the initial data, the following lemma can be obtained.
Lemma 3.14 There is a positive constant
such that
(61)
here T is sufficiently small.
Note that by the above estimates, we obtain
According to the Sobolev imbedding
↪
, one has
Hence, there is a sufficiently large constant
such that
, it can be deduced that
for some constant
.
Then by estimating the second-order time, we can complete the energy estimates of the solutions to the linearized system.
Lemma 3.15 The following inequality holds
(62)
where K is a positive constant.
Proof. Multiplying
by
and then integrating on
to obtain
(63)
Let
. It turns out by the (24) that
This implies
(64)
Clearly,
(65)
Multiply
by
and then integrate the result on
, it follows that
(66)
Therefore, the lemma is proved by (65), (66) and lemma 2.
Finally, multiplying
by
in
to obatin
Lemma 3.16 The following inequality holds
(67)
The calculations are quite similar as the above lemmas, here we omit the details. Summarizing (62) and (67) and using Grönwall’s inequality, we deduce that
Lemma 3.17 The following inequality holds
(68)
where T is sufficiently small.
Collecting all the lemmas proved in this section, Lemma 2 is obtained.
4. The Proof of Main Theorems
Proof of Theorem 1.1. The proof of this theorem is based on the use of the method of successive approximations and uniform-on-
estimates obtained in Lemma 2. Set
. For any fixed
, a sequence
is generated by the standard Picard iteration [26] that satisfies the following equations:
(69)
(70)
(71)
with (7), (8), and
(72)
Denote
. Base on the above equations, it can be deduced that
(73)
(74)
(75)
Estimating as before, we obtain
(76)
According to Grönwall’s inequality, we obtain that
(77)
where
and T are small enough.
Therefore, there is a constant
such that
(78)
Base on the estimate (72),
satisfies (12). Therefore, Theorem 1 is proved.
Proof of Theorem 1.2. Due to the similarity of the proof process with the previous article [19] , it is not repeated here.
Acknowledgements
This work is partially supported by NSFC under grant 11001021 and the Fundamental Research Funds for the Central Universities.