Optimal decay rate for the generalized Oldroyd-B model with only stress tensor diffusion in
Abstract
In this paper, we are concerned with optimal decay rate for the 2-D generalized Oldroyd-B model with
only stress tensor diffusion . In the case , we first establish optimal decay rate in framework and remove the smallness assumption of low frequencies by virtue of the Fourier splitting method and the Littlewood-Paley decomposition theory. Furthermore, we prove optimal decay rate for the highest derivative of the solution by a different method combining time frequency decomposition and the time weighted energy estimate. In the case , we study optimal decay rate for the highest derivative of the solution by the improved Fourier splitting method.
2020 Mathematics Subject Classification: 35Q31, 76A05, 74B20, 42A38.
Keywords: The generalized Oldroyd-B model; Optimal decay rate; The Fourier splitting method.
1 Introduction
The classical Oldroyd-B model can be written as follows:
(1.4) |
The Oldroyd-B model derived by J. G. Oldroyd in [24] which was used to describe the dynamics of viscoelastic fluids. In (1.4), represents the velocity of the liquid, denotes the pressure and is the symmetric stress tensor. The parameters , and are nonnegative. Furthermore, is the following bilinear form
with the deformation tensor and the vorticity tensor . One can refer to [9] for more explanations of the Oldroyd-B model.
In this paper, we are concerned with the generalized Oldroyd-B model with only stress tensor diffusion and without the damping :
(1.8) |
Taking in , then we obtain , which means that in Sobolev spaces. This observation reveals the essential difference between (1.8) and the well-known Euler equation.
1.1. The Oldroyd-B model
We first recall some mathematic results for the classical Oldroyd-B model (1.4). In [11], C. Guillopé, and J. C. Saut first proved that the Oldroyd-B model admits a unique global strong solution in Sobolev spaces. The -setting was showed by E. Fernández-Cara, F.Guillén and R. Ortega [10]. The global week solutions of the Oldroyd-B model were obtained by P. L. Lions and N. Masmoudi [17] for the co-rotation case that is . However, the problem for the general case is still open, see [20, 21]. J. Y. Chemin and N. Masmoudi [3] showed the existence and uniqueness of strong solutions in homogenous Besov spaces with critical index of regularity. Optimal decay rates for solutions to the 3-D Oldroyd-B model were given by M. Hieber, H. Wen and R. Zi [13]. An approach based on the deformation tensor can be found in [5, 4, 15, 14, 16, 29, 2].
Some mathematic results for the generalized Oldroyd-B model (1.8) are given as follows. T. M. Elgindi and F. Rousset [9] first showed global regularity for (1.8) with and . In [8], T. M. Elgindi and J. Liu proved global strong solutions of the 3-D case under the assumption that initial data is sufficiently small. Recently, W. Deng, Z. Luo and Z. Yin [7] obtained the global solutions in co-rotation case and proved the decay rate for the global solutions to (1.8). For the case and , P. Constantin, J. Wu, J. Zhao and Y. Zhu [6] established the global well-posedness for (1.8) with small data. In [28], J. Wu and J. Zhao investigated the global well-posedness in Besov spaces for fractional dissipation with small data. Optimal time decay rate in framework of global solutions to (1.8) was given by [27, 18]. However, they can’t deal with critical case and .
1.2. Main results
Optimal decay rate for (1.8) has been studied widely. The problem of time decay rate with is more difficult than the case with . Since the additional stress tensor does not decay fast enough, we failed to use the bootstrap argument as in [25, 19]. For critical case , we can not get any algebraic decay rate by the Fourier splitting method directly as in [12]. We will study this problem by virtue of the refinement to Schonbek’s [26] strategy. Using the Fourier splitting method, we obtain initial logarithmic decay rate
for any . The main difficulty for proving optimal decay rate is lack of damping term and low-frequency estimation of for . However, we have
By virtue of the time weighted energy estimate and the logarithmic decay rate, then we improve the time decay rate to algebraic decay rate . Notice that this is not the optimal decay rate. Then, we prove optimal decay rate in framework for the 2-D generalized Oldroyd-B type model by virtue of the Fourier spiltting method and the Littlewood-Paley decomposition theory. Considering the decay rate for the highest derivative of the solution to (1.8), the main difficulty is unclosed energy estimate. The complete dissipation can be obtained by estimating the mixed term . One can see that the decay rate of inner product is slower than the decay rate of energy. To overcome this difficulty, we construct a different energy and dissipation functional for as follows:
and
where is small enough. Finally, we introduce a new method which flexibly combines the Fourier splitting method and the time weighted energy estimate to prove the decay rate for the highest derivative.
We also present optimal decay rate for the generalized Oldroyd-B model (1.8) in the fractional case . By virtue of the traditional Fourier splitting method, one can not obtain the optimal decay for the fractional case. P. Wang, J. Wu, X. Xu and Y. Zhong [27] use spectral analysis method to prove the optimal decay rate of the lower order energy of the fractional case. The corresponding linearized system of (1.8) is given by
(1.11) |
where denotes the Leray projection onto divergence free vector fields. One can see that satisfy the same system of wave-type equation
(1.12) |
The structure in (1.12) reveals that there are both dissipative and dispersive effects on . However, we point out that the refinement of Schonbek’s strategy also work in this case with extra lower energy dissipation estimate
(1.13) |
where we use the properties of Calderon-Zygmund type operator. Then, we rediscover optimal decay rates in [27] by the improved Fourier splitting method. The main difficulty to obtain optimal decay rate for the highest derivative of the solution is unclosed energy estimate. The complete dissipation can be obtained by estimating the mixed term . One can see that the decay rate of inner product is slower than the decay rate of energy. To overcome this difficulty, we construct a different energy and dissipation functional for as follows:
and
where and is small enough. We prove optimal decay rate for the highest derivative of the solution to 2-D generalized Oldroyd-B type model by the improved Fourier splitting method. Notice that this novel result for (1.8) has not been studied before.
Let’s review the global existence result for (1.8).
Theorem 1.1.
Our main results can be stated as follows:
Theorem 1.2.
Theorem 1.3.
Remark 1.4.
The classical result about large time behaviour often supposed that the initial data belongs to (See [25]). Since , it follows that the above results still hold true when .
The paper is organized as follows. In Section 2 we introduce some lemmas which will be used in the sequel. In Section 3 we prove optimal decay rate for the 2-D generalized Oldroyd-B model in critical case by virtue of a different Fourier splitting method and the time weighted energy estimate. In Section 4 we prove optimal decay rate for the highest derivative of the solution to 2-D generalized Oldroyd-B model in fractional case by the improved Fourier splitting method and the time weighted energy estimate.
2 Preliminaries
In this section we introduce some lemmas which will be used in the sequel.
The Littlewood-Paley decomposition theory and and Besov spaces are given as follows.
Lemma 2.1.
[1] Let . There exists radial function , valued in the interval , belonging respectively to , and
Moreover, there holds
denotes the Fourier transform and its inverse is represented by . Suppose that is a tempered distribution in . For all , define
Then the Littlewood-Paley decomposition is defined by:
Let The homogeneous Besov space is given as follows
Take we introduce the Gagliardo-Nirenberg inequality of Sobolev type with .
Lemma 2.2.
Lemma 2.3.
[22] Assume that , and , then we obtain
3 Optimal decay rate with
In this section, we present optimal decay rate for the generalized Oldroyd-B model (1.8) in critical case with . Inspired by [12], we consider the coupling effect between . We need to introduce the following energy and dissipation functionals for :
and
where . The key point is the refinement of Schonbek’s [26] strategy. Using a different Fourier splitting method and taking Fourier transform in (1.8), we obtain the initial decay rate in following proposition.
Proposition 3.1.
Assume that satisfy the condition in Theorem 1.1 and . For any , there exists constant such that
(3.1) |
Proof.
Taking in Theorem 1.1, we get the following global energy estimate:
(3.2) |
Denote that , where and is large enough. By (3.2), we deduce that
(3.3) |
The estimate to the low frequency part of is useful for studying time decay rates. Applying Fourier transform to (1.8), we have
(3.6) |
where and . According to and (3.6), we infer that
(3.7) |
Integrating (3.7) in time on , we get
(3.8) |
Integrating (3.8) over with , then we obtain the following estimate for (3.6):
(3.9) |
According to , and applying Lemma 2.1, we infer that
(3.10) | ||||
By (3.2) and Minkowski’s inequality, we obtain
(3.11) | ||||
It follows from (3.9)-(3.11) that
(3.12) |
Combining (3.3) and (3.12), we have
(3.13) |
Consequently, we get the initial time decay rate:
(3.14) |
By virtue of the bootstrap argument, for any , we infer that ∎
We now consider the the initial time decay rate of .
Proposition 3.2.
Let . Under the condition in Theorem 1.1, for any , then there exists a constant such that
(3.15) |
Proof.
Since with , then we have
(3.16) |
and
(3.17) | ||||
Using Lemma 2.3, we obtain
(3.18) | ||||
By Lemma 2.2, we have . This together with (3.18) and Theorem 1.1 ensure that
(3.19) |
Using Lemmas 2.2 and 2.3, we deduce that
(3.20) | ||||
Combining (3.16)-(3.20), we obtain
(3.21) |
which implies that
(3.22) |
By Proposition 3.1, we obtain
(3.23) |
According to (3.22)-(3.23), we infer that
(3.24) |
Therefore, we complete the proof of Proposition 3.2. ∎
By virtue of the standard method, we can’t immediately obtain the optimal decay rate. However, we obtain a weak result as follows.
Proposition 3.3.
Proof.
Define with large enough. By (3.2), we infer that
(3.27) |
Integrating (3.8) over with , then we get
(3.28) |
According to and applying Lemma 2.1, we deduce that
(3.29) | ||||
and
(3.30) |
Combining (3.27)-(3.30), we have
(3.31) | ||||
which implies that
(3.32) |
Let . By (3.32), we obtain
(3.33) |
Applying Gronwall’s inequality and Proposition 3.2, we deduce that , which implies that
(3.34) |
According to (3.21), we infer that
(3.35) |
By (3.34), we get
(3.36) |
This together with (3.2), (3.34) and (3.35) ensure that
(3.37) |
We thus complete the proof of Proposition 3.3. ∎
Using Proposition 3.3, we can prove that the solution of (1.8) belongs to some Besov space with negative index.
Lemma 3.4.
Proof.
Lemma 3.5.
Let and . Under the condition in Proposition 3.1. For any , if
(3.47) |
and
(3.48) |
then there exists a constant such that
(3.49) |
where for and for .
Proof.
We improve the decay rates in by Lemmas 3.4 and 3.5. However, considering the decay rate for the highest derivative of the solution to (1.8), the main difficulty is unclosed energy estimate. To overcome this difficulty, we introduce a new method which flexibly combines the Fourier splitting method and the time weighted energy estimate.
Proposition 3.6.
Assume that satisfy the condition in Proposition 3.1, then there exists a constant such that
(3.54) |
where .
Proof.
We first improve the decay rate in Proposition 3.3. According to Proposition 3.3 and Lemma 3.4 with , we have
By virtue of Lemma 3.5 with and , we infer that
Taking and in Lemma 3.4, we get
(3.55) |
Taking advantage of Lemma 3.5 again with and , we deduce that
(3.56) |
Then, we introduce some new energy and dissipation functionals for as follows:
and
where is small enough. Using (3.18), (3.20), (3.56) and Lemmas 2.2-2.3, we deduce that
(3.57) | ||||
where we use . By (3.56) and Lemma 2.2, we have
(3.58) | ||||
Combining (3.57) and (3.58), we infer that
(3.59) |
which implies that
(3.60) | ||||
According to (3.60), we infer that
(3.61) | ||||
Using Lemma 2.2 again, we obtain
(3.62) | ||||
which implies that
(3.63) |
We thus complete the proof of Proposition 3.6. ∎
The proof of Theorem 1.2: By Proposition 3.6, we only need to prove the lower bound of the decay rate. We first consider the linear system of (1.8) with :
(3.67) |
According to Proposition 3.6 and Lemma 3.4, one can deduce that and . Applying Fourier transform to (3.67), we get
(3.70) |
We introduce a new weighted energy estimate instead of complex spectral analysis to prove the lower bound of the decay rate. From (3.70), we have
(3.71) |
which implies that
(3.72) |
According to , we deduce that there exists such that if . From (3.72), we have
(3.73) | ||||
where . Taking , and , then we immediately obtain and . Moreover, we have
(3.77) |
According to (3.77) and time decay rates for and , we deduce that
(3.78) | ||||
and
(3.79) | ||||
Using (3.77) again, we obtain
(3.80) | ||||
(3.81) | ||||
which implies that
(3.82) | ||||
Similar to (3.28) and (3.51), we infer that
(3.83) | ||||
According to (3.82) and (3.83), we obtain
Applying to (3.77), , we get
(3.86) |
Using (3.86), Lemmas 2.2-2.3 and time decay rates, we infer that
(3.87) | ||||
and
(3.88) | ||||
Combining (3.87) and (3.88), we get
(3.89) | ||||
which implies that
(3.90) | ||||
Note that and large enough. We need to take small enough. According to (3.90), we obtain
(3.91) | ||||
Take suitable constants in (3.91), we have
(3.92) |
which implies that
(3.93) |
According to (3.73) and (3.93), we infer that
(3.94) |
Therefore, we complete the proof of Theorem 1.2.
4 Optimal decay rate with
In this section, we present optimal decay rate for the generalized Oldroyd-B model (1.8) in fractional case . We point out that the refinement of Schonbek’s strategy also work in this case with a extra lower energy dissipation estimate. Similarly, we obtain the decay rates in . Moreover, considering the decay rate for the highest derivative of the solution to (1.8), the main difficulty is unclosed energy estimate. To overcome this difficulty, we introduce another method which flexibly combines the Fourier spiltting method and the time weighted energy estimate. We rewrite (1.8) as follows.
(4.3) |
For convenience of explanation, we assume that . By Theorem 1.1, then we have
(4.4) |
To present optimal decay rate for (4.3), we need additional lower energy dissipation estimate for . According to properties of Calderon-Zygmund operator and Lemma 2.2, we infer that
(4.5) | ||||
Combining (4.4) and (4.5), we obtain
(4.6) |
Define for . By (4.6), we get
(4.7) | ||||
According to the refinement of the Fourier spiltting method in Theorem 1.2, one can rediscover the following proposition with , which contain optimal decay for the solution in [27].
Proposition 4.1.
We omit the proof of Proposition 4.1, which is similar to the proof of (4.7) and Theorem 1.2.
The proof of Theorem 1.3:
Applying to (4.3), we obtain
(4.12) |
We first introduce the energy and dissipation functionals for as follows:
and
where and is small enough to overcome the difficulty about inner product estimate of linear term in with . By (4.12), we have
(4.13) |
and
(4.14) | ||||
Combining (4.13) and (4.14), we get
(4.15) | ||||
By Lemma 2.2, we obtain and with . By Lemmas 2.2-2.3 and Proposition 4.1, we have
(4.16) | ||||
When , we have . Similarly, we deduce that
(4.17) | ||||
Applying Lemma 2.2 again, we get with , which implies that
(4.18) | ||||
Combining (4.17) and (4.18), we infer that
(4.19) |
Moreover, we can easily deduce from (4.17) and (4.18) that
(4.20) | ||||
According (4.15)-(4.20), we infer that
(4.21) |
Define . By (4.21), we get
(4.22) | ||||
which implies that
(4.23) | ||||
Taking and using Lemma 2.2, we infer that
(4.24) | ||||
which implies that
(4.25) |
The lower bound of time decay rate can be obtained by the similar method in Theorem 1.2. We omit the details here.
Acknowledgments This work was partially supported by the National Natural Science Foundation of China (No.12171493 and No.11671407), the Macao Science and Technology Development Fund (No. 0091/2018/A3), Guangdong Province of China Special Support Program (No. 8-2015), the key project of the Natural Science Foundation of Guangdong province (No. 2016A030311004), and National Key RD Program of China (No. 2021YFA1002100).
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