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Article

On the Cauchy Problem for a Simplified Compressible Oldroyd–B Model Without Stress Diffusion

1
School of Statistics and Data Science, Guangdong University of Finance and Economics, Guangzhou 510320, China
2
School of Mathematics and Statistics, Guangdong University of Technology, Guangzhou 510520, China
3
College of Mathematics Science, Harbin Engineering University, Harbin 150001, China
4
School of Mathematics and Statistics, Zhengzhou University, Zhengzhou 450001, China
*
Author to whom correspondence should be addressed.
Mathematics 2025, 13(16), 2589; https://doi.org/10.3390/math13162589
Submission received: 30 June 2025 / Revised: 6 August 2025 / Accepted: 8 August 2025 / Published: 13 August 2025
(This article belongs to the Section C: Mathematical Analysis)

Abstract

In this paper, we are concerned with the Cauchy problem of the compressible Oldroyd-B model without stress diffusion in R n ( n = 2 , 3 ) . The absence of stress diffusion introduces significant challenges in the analysis of this system. By employing tools from harmonic analysis, particularly the Littlewood–Paley decomposition theory, we establish the global well-posedness of solutions with initial data in L p critical spaces, which accommodates the case of large, highly oscillating initial velocity. Furthermore, we derive the optimal time decay rates of the solutions by a suitable energy argument.
MSC:
35Q35; 35B65; 76B03

1. Introduction and the Main Results

The Oldroyd-B model serves as a fundamental framework for characterizing viscoelastic fluid dynamics, mathematically representing the behavior of certain viscoelastic flows:
t ρ + div ( ρ u ) = 0 , ρ ( t u + u · u ) μ Δ u ( λ + μ ) div u + P = div ( T H ( η ) Id ) , t η + div ( η u ) = ε Δ η , t T + div ( T u ) ( u T + T T u ) = ε Δ T + k A 0 2 ν η Id A 0 2 ν T , ( ρ , u , η , T ) | t = 0 = ( ρ 0 ( x ) , u 0 ( x ) , η 0 ( x ) , T 0 ( x ) ) ,
for ( t , x ) R + × R n ( n = 2 , 3 ) . Here the unknown funcitons ρ , u , η , and T represent the fluid density, the fluid velocity, the polymer number density, and the extra stress tensor in the fluid, respectively. The pressure P = A ρ γ for some A > 0 and γ 1 . The extra stress tensor T = ( T i , j ) is a positive definite symmetric matrix, and the notation div ( T u ) is understood as
( div ( T u ) ) i , j = div ( u T i , j ) .
Especially, η is the integral of a probability density function ψ with respect to the conformation vector, which is a microscopic variable in the modeling of dilute polymer chains, that is
η ( t , x ) = R n ψ ( t , x , q ) d q 0 ,
where ψ is governed by the Fokker–Plank equation. The term H ( η ) = k L η + ζ η 2 in the momentum equation can be seen as the polymer pressure. Here μ and λ are both unknown viscosity constants that satisfy μ > 0 and λ + 2 μ n > 0 . The constant parameters k , A 0 , ν are all positive numbers, whereas ζ 0 and L 0 with ζ + L 0 . More precisely, in the modeling of (1), L = 2 is the number of beads in the polymer chain in the classical Kramers expression. In particular, the parameter ε is the centre-of-mass diffusion coefficient, and system (1) is known as the diffusive Oldroyd-B model when the diffusion coefficient ε > 0 . Furthermore, the Oldroyd–Jeffreys-type model, a constitutive equation in rheology, is derived as an extension or modification of the Oldroyd-B model, which can be used for the flow of viscoelastic liquids, but its linear characteristics limit its application in high strain rate or complex dynamic scenarios (e.g., the predicted damping factor for pendant droplet oscillation is an order of magnitude larger than the experimental value, which may underestimate the viscosity reduction caused by elasticity). For more details, please refer to [1].
In the case where both the additional stress tensor T and polymer number density η approach zero, the system (1) simplifies to the well-known compressible Navier–Stokes equations that have been thoroughly investigated in [2,3,4,5,6,7,8,9].
Apart from the aforementioned references, some interesting works on the absence of the polymer number density η in (1) were performed. Early investigations focused on the incompressible limit problem of the compressible Oldroyd-B model in T n (( n = 2 , 3 )) [10]. Subsequent research extended this analysis to bounded domains [11]. A significant advancement was achieved by Baranovskii [12], who successfully resolved the limit problem for Ω R n (a bounded domain with a locally Lipschitz boundary). Then the global results in R n ( n 2 ) to small initial data in the critical L 2 Besov space was recently proved by Zi [13]; see [14] for the stability in T n ( n 2 ) . Subsequently, the result without the damping mechanism was generalized by Zhai and Chen [15] in the critical L p spaces. Furthermore, some investigations on the compressible Oldroyd-type model at the basis of the deformation tensor were also reported in [16,17,18]. Furthermore, more interesting works (e.g., [19,20,21,22,23,24]) were devoted to the incompressible Oldroyd-B model, where ρ is constant.
Considering its physical significance and mathematical applications, the Oldroyd-B model has been considered by many researchers. We review key results for the compressible Oldroyd-B model, originally derived via micro–macro analysis of the compressible Navier–Stokes–Fokker–Planck system in [25]. Furthermore, by taking the limit ζ 0 , the existence of solutions for ζ = 0 was proved in Section 12 of [25]. For more explanation on the physical background of the Navier–Stokes–Fokker–Planck system, one may refer to [25,26,27] and the other relevant references. Barrett and Süli [25] established the existence of global-in-time finite energy weak solutions for large initial data in R 2 , though the question of uniqueness for these weak solutions remained unresolved. Later, Lu and Zhang [28] derived local well-posedness, weak–strong uniqueness, and an improved blow-up criterion in R 2 , under the condition that the fluid density is bounded above. Wang and Wen [29] further established the global well-posedness in R 3 for initial data close to a non-zero equilibrium state. Subsequently, Zhai and Li [30] extended the results of [29], demonstrating global well-posedness and long-time asymptotic behavior for the compressible Oldroyd-B model in R n ( n = 2 , 3 ) , with their analysis accommodating scenarios where the polymer number density may vanish and the stress tensor is near a zero equilibrium. Most recently, Liu, Wang, and Wen [31] achieved global well-posedness and optimal decay rates for the highest-order derivatives of solutions to an inviscid Oldroyd-B model in R 3 , under the assumption of sufficiently small initial perturbations. Subsequently, Zhai and Zhao [32] extended these results to the periodic domain T n ( n = 2 , 3 ) , proving the global well-posedness of this model with small initial data. In addition, they derived the exponential decay of the solutions.
Research on the compressible Oldroyd-B model without stress diffusion remains relatively scarce. In their seminal work, Lu and Pokorný [33] established the global weak solutions without any restriction on the size of the data in a bounded open domain Ω R n ( n = 2 , 3 ) . Subsequently, Liu, Lu, and Wen [34] established the global well-posedness of strong solutions near an equilibrium state using the standard continuity method, and the authors provided optimal decay rates for the highest-order derivatives of the solutions in R 3 . The goal of this paper, on the one hand, is to prove the global well-posedness of the Oldroyd-B model without stress diffusion for initial data in L p critical Besov spaces on R n ( n = 2 , 3 ) and, on the other hand, is to investigate the optimal time decay rates of the solutions using an energy framework, circumventing reliance on spectral analysis.
In this paper, we set k = 1 , L = 2 , and ζ = 0 , that is to say, H ( η ) = 2 η . The system (1) without stress diffusion (i.e., ε = 0 ) can be rewritten as the following equation derived by introducing a transformation σ i , j = T i , j η I i , j in the Section 1.1 of Ref. [34]:
t ρ + div ( ρ u ) = 0 , ρ ( t u + u · u ) μ Δ u ( λ + μ ) div u + P = div ( σ η Id ) , t η + div ( η u ) = 0 , t σ + div ( σ u ) ( u σ + σ T u ) η ( u + T u ) = A 0 2 ν σ .
We further make a serious simplifying assumption that the extra stress tensor σ is a scalar matrix:
σ = τ Id for some scalar function τ .
Letting A 0 = 1 and ν = 1 2 for brevity and neglecting the deformation tensor (i.e., u + T u 2 = 0 ), the simplified compressible Oldroyd–B model without stress diffusion becomes
t ρ + div ( ρ u ) = 0 , ρ ( t u + u · u ) μ Δ u ( λ + μ ) div u + P = ( τ η ) , t η + div ( η u ) = 0 , t τ + div ( τ u ) + τ = 0 ,
which is supplemented with far field behaviors
ρ ρ ¯ , u 0 , η η ¯ , τ 0 as | x | ,
where ρ ¯ > 0 , η ¯ > 0 .
Without loss of generality, we may assume ρ ¯ = η ¯ = μ = γ = 1 , λ = 0 , since the other cases can be essentially reduced to this case, after omitting some high-order terms. Denoting ρ = 1 + a and η = 1 + b , we can reformulate the system (2) into the following form:
t a + div u + u · a + a div u = 0 , t u + u · u Δ u div u + a + b τ = F ( a , u , b , τ ) , t b + div u + u · b + b div u = 0 , t τ + τ + div ( τ u ) = 0 , ( a , u , b , τ ) | t = 0 = ( a 0 ( x ) , u 0 ( x ) , b 0 ( x ) , τ 0 ( x ) ) ,
where
F ( a , u , b , τ ) = def I ( a ) τ + I ( a ) ( a + b ) I ( a ) ( Δ u + div u ) with I ( a ) = a 1 + a .
Now, we state the first main theorem of the paper as follows.
Theorem 1  
(Local well-posedness). Let n = 2 , 3 and 2 p 2 n . For any ( a 0 , b 0 , τ 0 ) B ˙ p , 1 n p ( R n ) with 1 + a 0 bounded away from zero, and u 0 B ˙ p , 1 n p 1 ( R n ) . Then there exists a positive time T such that the system (3) has a unique solution with
( a , b ) C b ( [ 0 , T ] ; B ˙ p , 1 n p ) , u C b ( [ 0 , T ] ; B ˙ p , 1 n p 1 ) L 1 ( [ 0 , T ] ; B ˙ p , 1 n p + 1 ) , τ C b ( [ 0 , T ] ; B ˙ p , 1 n p ) L 1 ( [ 0 , T ] ; B ˙ p , 1 n p ) .
Theorem 2  
(Global well-posedness). Let n = 2 , 3 and 2 p 4 , and additionally, p 4 if n = 2 . For any ( a 0 , u 0 , b 0 ) B ˙ 2 , 1 n 2 1 ( R n ) , τ 0 B ˙ 2 , 1 n 2 ( R n ) , and ( a 0 h , b 0 h , τ 0 h ) B ˙ p , 1 n p ( R n ) , u 0 h B ˙ p , 1 n p 1 ( R n ) , there exists a positive constant c 0 such that, if
( a 0 , u 0 , b 0 ) B ˙ 2 , 1 n 2 1 + τ 0 B ˙ 2 , 1 n 2 + ( a 0 h , b 0 h , τ 0 h ) B ˙ p , 1 n p + u 0 h B ˙ p , 1 n p 1 c 0 ,
 then the system (3) admits a unique solution ( a , u , b , τ ) satisfying
( a , b ) C b ( R + ; B ˙ 2 , 1 n 2 1 ) , ( a h , b h ) C b ( R + ; B ˙ p , 1 n p ) , u C b ( R + ; B ˙ 2 , 1 n 2 1 ) L 1 ( R + ; B ˙ 2 , 1 n 2 + 1 ) , u h C b ( R + ; B ˙ p , 1 n p 1 ) L 1 ( R + ; B ˙ p , 1 n p + 1 ) , ϕ C b ( R + ; B ˙ 2 , 1 n 2 1 ) L 1 ( R + ; B ˙ 2 , 1 n 2 + 1 ) , ϕ h C b ( R + ; B ˙ p , 1 n p ) L 1 ( R + ; B ˙ p , 1 n p ) , τ C b ( R + ; B ˙ 2 , 1 n 2 ) L 1 ( R + ; B ˙ 2 , 1 n 2 ) , τ h C b ( R + ; B ˙ p , 1 n p ) L 1 ( R + ; B ˙ p , 1 n p ) ,
 with ϕ a + b . Moreover, there exists some constant C such that
( a , u , b ) L ˜ t ( B ˙ 2 , 1 n 2 1 ) + τ L ˜ t ( B ˙ 2 , 1 n 2 ) + u L ˜ t ( B ˙ p , 1 n p 1 ) h + ( a , b , τ ) L ˜ t ( B ˙ p , 1 n p ) h + ( ϕ , u ) L t 1 ( B ˙ 2 , 1 n 2 + 1 ) + τ L t 1 ( B ˙ 2 , 1 n 2 ) + ( ϕ , τ ) L t 1 ( B ˙ p , 1 n p ) h + u L t 1 ( B ˙ p , 1 n p + 1 ) h C c 0 .
Remark 1.  
For some basic knowledge on the Littlewood–Paley decomposition theory in the above theorem, see the beginning paragraph of Section 2.
Remark 2.  
Although there are are no dissipations in the equations of a and b, by exploiting the structural characteristics of the system (3), we can also obtain the smoothing effect of a + b in the low frequency and the damping effectof a + b in the high frequency. Especially in the high frequency part, we need two effective velocities, which are used to eliminate the coupling between the fluid density, the velocity, and the polymer number density.
Remark 3.  
Drawing upon the recent advancement presented in [35], we intend to investigate the global well-posedness of (3) with substantial initial data in our future research.

1.1. Scheme of the Proof of Theorem 2

To complete the proof of Theorem 2, we proceed in three key steps. Due to the absence of explicit dissipation or damping terms in the fluid density and polymer number density equations, it is essential to strategically leverage the system’s hidden dissipative properties by exploiting the inherent structure of the system. A crucial aspect of our analysis involves decomposing the dynamics into low-frequency and high-frequency components, as the fluid density and polymer number density display markedly distinct dynamical responses across separated spectral bands.
Low frequency: To uncover the hidden dissipations in the fluid density and polymer number density, we primarily employ the cross-energy method. For this purpose, we first define the operator Λ s z F 1 ( | ξ | s F z ) , s R and introduce the following key quantities:
ω = Λ 1 c u r l u , v = Λ 1 div u .
For convenience, we denote
ϕ a + b , δ ϕ 2 a = b a ,
thus satisfying
t ϕ + 2 Λ v = f 1 , t v 2 Δ v Λ ϕ = f 2 ,
with the nonlinear terms f 1 and f 2 defined in (8) and (9), respectively. Our main goal is to derive the dissipation estimates for a and b through careful analysis of the combined variables ϕ and δ . To achieve this, we construct the following “cross-energy” estimates:
d d t v k , Λ ϕ k 2 Λ v k L 2 2 + Λ ϕ k L 2 2 = 2 Δ v k , Λ ϕ k ( f 2 ) k , Λ ϕ k Λ ( f 1 ) k , v k , see   ( 12 ) .
Combining with the estimates of τ , ω , v , ϕ , and δ , we can infer the dissipation estimates for a , b , u , τ , and ϕ in the low-frequency regime,
( a , b , u ) L ˜ t ( B ˙ 2 , 1 n 2 1 ) + τ L ˜ t ( B ˙ 2 , 1 n 2 ) + ( ϕ , u ) L t 1 ( B ˙ 2 , 1 n 2 + 1 ) + τ L t 1 ( B ˙ 2 , 1 n 2 ) ( a 0 , b 0 , u 0 ) B ˙ 2 , 1 n 2 1 + τ 0 B ˙ 2 , 1 n 2 + 0 t ( 1 + E ( s ) ) E ( s ) E 1 ( s ) d s .
For the definitions of E ( s ) and E 1 ( s ) , refer to Lemma 8 of Section 4 for more details.
High frequency: In the high-frequency regime, the primary objective arises from the absence of diffusion terms in the equations for a and b. The quasilinear terms in these equations lead to a loss of the derivatives. To capture the damping effect of ϕ = a + b , we introduce the new auxiliary variable
G Q u 1 2 Δ 1 ϕ .
Then we get the compressible part of Equation (3) as follows
t ϕ + ϕ + div G = ϕ div u u · ϕ , t G 2 Δ G = G + 1 2 Δ 1 ϕ + 1 2 Q ( ϕ u ) Q ( u , u ) + τ + Q F ( a , u , b , τ ) .
To establish the damping properties of ϕ and G, we construct the following estimates:
G h L ˜ t ( B ˙ p , 1 n p 1 ) + ϕ h L ˜ t ( B ˙ p , 1 n p ) + G h L t 1 ( B ˙ p , 1 n p + 1 ) + ϕ h L t 1 ( B ˙ p , 1 n p ) G 0 h B ˙ p , 1 n p 1 + ϕ 0 h B ˙ p , 1 n p + 0 t ( G h B ˙ p , 1 n p 1 + ϕ h B ˙ p , 1 n p 2 ) d s + 0 t τ h B ˙ p , 1 n p d s + 0 t ( ( ϕ div u ) h B ˙ p , 1 n p + ( u · u ) h B ˙ p , 1 n p 1 + ( ϕ u ) h B ˙ p , 1 n p 1 + div u L ϕ h B ˙ p , 1 n p ) d s + 0 t ( j j 0 2 n p j [ Δ ˙ , u · ] ϕ L p + F ( a , u , b , τ ) h B ˙ p , 1 n p 1 ) d s , see   ( 41 ) .
Based on the estimates for τ , the incompressible part P u , a , and b, the aforementioned estimate, and the nonlinear product laws in Besov spaces, we can now derive the dissipation estimates for a , b , u , τ , and ϕ in the high-frequency regime,
( a h , b h , τ h ) L ˜ t ( B ˙ p , 1 n p ) + u h L ˜ t ( B ˙ p , 1 n p 1 ) + u h L t 1 ( B ˙ p , 1 n p + 1 ) + ( ϕ h , τ h ) L t 1 ( B ˙ p , 1 n p ) ( a 0 h , b 0 h , τ 0 h ) B ˙ p , 1 n p + u 0 h B ˙ p , 1 n p 1 + 0 t E 1 ( s ) E ( s ) d s .
Through a continuity argument combined with the a priori estimates established above, we establish the global existence of solutions as presented in Theorem 2, with the detailed proof provided in Section 4.3.
Having established the existence of global solutions, we now turn to investigate their long-time asymptotic behavior. The third main result of this work characterizes these asymptotic properties as follows.
Theorem 3  
(Optimal decay). Let ( a , u , b , τ ) be the global small solutions addressed by Theorem 2 with p = 2 . Assume that the initial data ( a 0 , u 0 , b 0 ) B ˙ 2 , σ ( R n ) , τ 0 B ˙ 2 , σ + 1 ( R n ) with n 2 σ < n 2 1 . Then the following decay properties hold:
Λ γ 1 ( ϕ , u ) L 2 C ( 1 + t ) γ 1 σ 2 , f o r a n y γ 1 σ , n 2 1 , Λ γ 2 τ L 2 C ( 1 + t ) γ 2 σ 1 2 , f o r a n y γ 2 σ + 1 , n 2 .

1.2. Scheme of the Proof of Theorem 3

To complete the proof of Theorem 3, we consider the following asymptotic analysis features:
Regularity Propagation: Proposition 1 maintains initial data regularity with negative indices.
Lyapunov Dynamics: Constructing a Lyapunov-type inequality for ( ϕ , u , τ ) in time via pure energy methods, we obtain
d d t ( ( ϕ , u ) B ˙ 2 , 1 n 2 1 + τ B ˙ 2 , 1 n 2 + u h B ˙ 2 , 1 n 2 1 + ( ϕ h , τ h ) B ˙ 2 , 1 n 2 ) + c 1 ( ( ϕ , u ) B ˙ 2 , 1 n 2 1 + τ B ˙ 2 , 1 n 2 + u h B ˙ 2 , 1 n 2 1 + ( ϕ h , τ h ) B ˙ 2 , 1 n 2 ) 1 + 4 n 2 σ 2 0 .
Decay Estimates: The time-decay rates can be rigorously derived through interpolation techniques applied to the Lyapunov functional.
For a deeper understanding of the work, we provide a summary of the paper below. Inspired by Lu and Pokorný [33], we study the global well-posedness of the compressible Oldroyd-B model without stress diffusion in R n ( n = 2 , 3 ) . A key challenge arises from the lack of explicit dissipation or damping terms in the fluid density and polymer number density equations. The key issue lies in skillfully performing high–low frequency decomposition and establishing new effective fluxes to eliminate the coupling problems caused by ρ , u , η , thereby achieving global well-posedness. The Lyapunov functional constructed in this project is one of the key scientific problems for solving the global solution with large initial data and optimal decay estimates of the compressible Oldroyd-B system.
The remainder of this paper is organized as follows. After presenting the necessary preliminaries in Section 2, we provide a brief proof of Theorem 1, establishing the local well-posedness of solutions in Section 3. Section 4 develops the global well-posedness through the proof of Theorem 2. Finally, in Section 5, by investigating temporal decay characteristics through three analytical stages, we establish the optimal time decay rates, thereby completing the proof of Theorem 3.
  • Notations . For two operators A and B, we denote [ A , B ] = A B B A as the commutator between A and B. For two positive numbers, by a b we mean that there is a generic constant C which may be different on different lines, such that a C b . We shall denote f , g as the L 2 ( R n ) inner product of f , g L 2 ( R n ) . For a Banach space X and an interval of R I, C ( I ; X ) is the set of continuous functions on I with values in X. For q [ 1 , + ] , L q ( I ; X ) is the space of measurable functions on I with values in X, such that t f ( t ) X belongs to L q ( I ) . We always let ( d j ) j Z be a generic element of 1 ( Z ) so that j Z d j = 1 .

2. Preliminaries

In this section, we list some basic knowledge on the Littlewood–Paley decomposition theory, which plays a key role in our analysis. We set Δ ˙ j = def φ ( 2 j D ) , S ˙ j = def χ ( 2 j D ) with φ ( ξ ) = def χ ( ξ 2 ) χ ( ξ ) , and χ is a non-increasing nonnegative smooth function supported in B ( 0 , 4 3 ) with a value of 1 on B ( 0 , 3 4 ) (see [36] for more details).
Definition 1.  
For s R , 1 p , the homogeneous Besov space B ˙ p , 1 s ( R n ) is the set of tempered distributions f satisfying
lim j S ˙ j f L = 0 , and f B ˙ p , 1 s j Z 2 j s Δ ˙ j f L p < .
For any f S ( R n ) , the lower and higher oscillation parts can be expressed as
f = def j N 0 Δ ˙ j f and f h = def j > N 0 Δ ˙ j f
for a large integer N 0 0 . The corresponding truncated semi-norms are defined as follows:
f B ˙ p , 1 s = def f B ˙ p , 1 s and f B ˙ p , 1 s h = def f h B ˙ p , 1 s .
As we shall work with time-dependent functions valued in Besov spaces, we introduce the norms:
f L T q ( B ˙ p , 1 s ) = def f ( t , · ) B ˙ p , 1 s L q ( 0 , T ) .
Moreover, in this paper, we frequently use the so-called “time–space” Besov spaces or Chemin–Lerner space to solve parabolic estimates (see [36] for more details). Let s R and 0 < T + . We define
f L ˜ T q ( B ˙ p , 1 s ) = def j Z 2 j s ( 0 T Δ ˙ j f ( t ) L p q d t ) 1 q
for p , q [ 1 , ) and with the standard modification for p , q = .
Remark 4.  
For any 1 q , from the Minkowski’s inequality, one can deduce that
f L T q ( B ˙ p , 1 s ) f L ˜ T q ( B ˙ p , 1 s ) .
The following lemma describes the way derivatives act on spectrally localized functions.
Lemma 1.  
Let B be a ball and C a ring of R n . A constant C exists such that for any positive real number λ, any nonnegative integer k, any smooth homogeneous function σ of degree m, and any couple of real numbers ( p , q ) with 1 p q , the following inequalities hold:
Supp u ^ λ B sup | α | = k α u L q C k + 1 λ k + n ( 1 p 1 q ) u L p , Supp u ^ λ C C k 1 λ k u L p sup | α | = k α u L p C k + 1 λ k u L p , Supp u ^ λ C σ ( D ) u L q C σ , m λ m + n ( 1 p 1 q ) u L p .
Now we shall recall a few nonlinear estimates in Besov spaces that may be derived by means of paradifferential calculus. Here, we first recall the decomposition in the homogeneous context:
u v = T ˙ u v + T ˙ v u + R ˙ ( u , v ) ,
where T ˙ u v j Z S ˙ j 1 u Δ ˙ j v , R ˙ ( u , v ) j Z Δ ˙ j u Δ ˙ ˜ j v , and Δ ˙ ˜ j v | j j | 1 Δ ˙ j v .
The paraproduct T ˙ and the remainder R ˙ operators satisfy the following continuous properties.
Lemma 2  
([35,36]). For all s R , σ 0 , and 1 p p 1 , p 2 , the paraproduct T ˙ is a bilinear, continuous operator from B ˙ p 1 , 1 σ × B ˙ p 2 , 1 s to B ˙ p , 1 s σ with 1 p = 1 p 1 + 1 p 2 . The remainder R ˙ is bilinear continuous from B ˙ p 1 , 1 s 1 × B ˙ p 2 , 1 s 2 to B ˙ p , 1 s 1 + s 2 with s 1 + s 2 > 0 , and 1 p = 1 p 1 + 1 p 2 .
Next, we give the important products that act on homogenous Besov spaces as well as composition estimates, which will be also often used implicitly throughout the paper.
Lemma 3  
([20]). Let s 1 n q , s 2 min { n p , n q } , and s 1 + s 2 > max { 0 , n p + n q n } for 1 p , q . For any u B ˙ q , 1 s 1 ( R n ) , v B ˙ p , 1 s 2 ( R n ) , we have
u v B ˙ p , 1 s 1 + s 2 n q u B ˙ q , 1 s 1 v B ˙ p , 1 s 2 .
Lemma 4  
([30]). Let n 2 and 2 p min { 4 , 2 n n 2 } , and additionally, p 4 if n = 2 . For any u B ˙ p , 1 n p ( R n ) and v B ˙ 2 , 1 n 2 1 ( R n ) , v h B ˙ p , 1 n p 1 ( R n ) , the following holds:
( u v ) B ˙ 2 , 1 n 2 1 ( v B ˙ 2 , 1 n 2 1 + v h B ˙ p , 1 n p 1 ) u B ˙ p , 1 n p .
In order to overcome the nonlinear terms, we also need the classical commutator’s estimate as follows.
Lemma 5  
([36]). Let 1 p , min { n p , n p n } < s n p . For any v B ˙ p , 1 s ( R n ) , u B ˙ p , 1 n p ( R n ) , we obtain
[ Δ ˙ j , u · ] v L p d j 2 j s u B ˙ p , 1 n p v B ˙ p , 1 s .
Lemma 6  
([36]). Let s > 0 , 1 p , q , and a J , where J I is a bounded interval. Let F with F ( 0 ) = 0 be a smooth function defined on an open interval I of R containing 0. Then we obtain the following estimates:
F ( a ) B ˙ p , 1 s a B ˙ p , 1 s , F ( a ) L ˜ T q ( B ˙ p , 1 s ) a L ˜ T q ( B ˙ p , 1 s ) .
Lemma 7  
([36]). Let σ R , T > 0 , 1 p , r , and 1 q 2 q 1 . Let u satisfy the heat equation
t u Δ u = f , u | t = 0 = u 0 .
Then the following a priori estimate holds:
u L ˜ T q 1 ( B ˙ p , r σ + 2 q 1 ) u 0 B ˙ p , r σ + f L ˜ T q 2 ( B ˙ p , r σ 2 + 2 q 2 ) .

3. Proof of Theorem 1

In this section, we shall give the brief proof for Theorem 1. Similar to the case of barotropic Navier–Stokes equations, we refer to [2,5,37] for more details. Define u F = e t ( Δ + div ) u 0 , and τ F = e t τ 0 . Then τ F satisfies the linear system
t τ F + τ F = 0 , τ F ( 0 ) = τ 0 .
Let u ¯ = u u F , τ ¯ = τ τ F , then ( a , u ¯ , b , τ ¯ ) satisfies the following systems
t a + div u + u · a + a div u = 0 , t u ¯ + u · u Δ u ¯ div u ¯ + a + b τ = F ( a , u , b , τ ) , t b + div u + u · b + b div u = 0 , t τ ¯ + τ ¯ = div ( τ u ) .
Now we can prove the existence of the solutions by a standard scheme, which proceeds according to the following steps (to simplify the procedure, we omit the details of the process here; please refer to [2,5,37] for more details):
Step 1: Smoothing out the data and getting a sequence of smooth solutions ( a n , u ¯ n , b n , τ ¯ n ) of an approximated system of (5), on a bounded interval [ 0 ; T n ] which may depend on n.
Step 2: Exhibiting a positive bound T for T n , and proving uniform estimates on a n , u ¯ n , b n , τ ¯ n .
Step 3: Applying compactness to show that the sequence ( a n , u ¯ n , b n , τ ¯ n ) converges to the extracted solution of (5).

4. Proof of Theorem 2

In this section, we will prove Theorem 2 by using the bootstrap argument. First, we obtain a priori bounds by introducing a novel analytical framework. Meanwhile, we distinguish their different behaviors by separating the low frequency from the high frequency. The proof is organized into the following three subsections.

4.1. Low-Frequency Estimates

In this subsection, our goal is to obtain the low-frequency estimates of the solutions ( a , u , b , τ ) . Let Λ s z F 1 ( | ξ | s F z ) , s R . ω = Λ 1 c u r l u denotes the incompressible part of u and v = Λ 1 div u denotes the compressible part. Then, we see that ω satisfies the heat equation
t ω Δ ω = Λ 1 c u r l g
with
g = u · u + τ + F ( a , u , b , τ ) .
Applying Lemma 7 gives
ω L ˜ t ( B ˙ 2 , 1 n 2 1 ) + ω L t 1 ( B ˙ 2 , 1 n 2 + 1 ) ω 0 B ˙ 2 , 1 n 2 1 + τ L t 1 ( B ˙ 2 , 1 n 2 ) + ( u · u ) L t 1 ( B ˙ 2 , 1 n 2 1 ) + F ( a , u , b , τ ) L t 1 ( B ˙ 2 , 1 n 2 1 ) .
Next, we consider the coupled system of ( a , v , b ) . For convenience, we set
ϕ a + b
Then it follows from (3) that ( ϕ , v ) satisfies
t ϕ + 2 Λ v = f 1 , t v 2 Δ v Λ ϕ = f 2 ,
with the nonlinear term f 1 , f 2 defined by
f 1 div ( ϕ u ) ,
f 2 Λ 1 div ( ( u · u ) + τ + F ( a , u , b , τ ) ) .
Now we present the following lemma, which will be used in establishing the low-frequency estimates.
Lemma 8.  
Let k 0 be some integer, and f = def S ˙ k 0 f . For any t 0 , it holds that
( ϕ , v ) L ˜ t ( B ˙ 2 , 1 n 2 1 ) + ( ϕ , v ) L t 1 ( B ˙ 2 , 1 n 2 + 1 ) ( ϕ 0 , v 0 ) B ˙ 2 , 1 n 2 1 + ( ( f 1 ) , ( f 2 ) ) L t 1 ( B ˙ 2 , 1 n 2 1 ) .
Proof.  
Let f k = Δ ˙ k f . Apply the operator Δ ˙ k S k 0 to the above equations and multiply ( 7 ) 1 by ϕ k / 2 and ( 7 ) 2 by v k , respectively. Using the standard energy argument, then we deduce the following three equalities:
1 2 d d t ( ϕ k L 2 2 / 2 + v k L 2 2 ) + 2 Λ v k L 2 2 = ( f 1 ) k , ϕ k / 2 + ( f 2 ) k , v k ,
d d t v k , Λ ϕ k 2 Λ v k L 2 2 + Λ ϕ k L 2 2 = 2 Δ v k , Λ ϕ k ( f 2 ) k , Λ ϕ k Λ ( f 1 ) k , v k ,
and
1 2 d d t Λ ϕ k L 2 2 = 2 Δ v k , Λ ϕ k + ( f 1 ) k , Λ 2 ϕ k .
By multiplying both sides of (11) and (12) by 2 , 1 2 , respectively, then adding the result of multiplying both sides of (13) by 1/2, we obtain
1 2 d d t L k 2 + 3 Λ v k L 2 2 + 1 2 Λ ϕ k L 2 2 = ( f 1 ) k , ϕ k + 2 ( f 2 ) k , v k 1 2 ( f 2 ) k , Λ ϕ k 1 2 Λ ( f 1 ) k , v k + 1 2 ( f 1 ) k , Λ 2 ϕ k ,
where
L k 2 ϕ k L 2 2 + 2 v k L 2 2 v k , Λ ϕ k + 1 2 Λ ϕ k L 2 2 .
By Young’s inequality we see that
L k 2 ( ϕ k , Λ ϕ k , v k ) L 2 2 ( ϕ k , v k ) L 2 2 ,
which leads to
d d t L k + 2 2 k L k ( ( f 1 ) k , ( f 2 ) k ) L 2 .
Multiplying the above inequality by 2 ( n 2 1 ) k formally on both hand sides, and then integrating from 0 to t, we finally obtain the desired estimate (10) by summing for k k 0 . This completes the proof. □
For simplicity, we define E ( t ) , E 1 ( t ) as
E ( t ) ( ϕ , u ) B ˙ 2 , 1 n 2 1 + u h B ˙ p , 1 n p 1 + τ B ˙ 2 , 1 n 2 + ( ϕ h , τ h ) B ˙ p , 1 n p , E 1 ( t ) ( ϕ , u ) B ˙ 2 , 1 n 2 + 1 + u h B ˙ p , 1 n p + 1 + τ B ˙ 2 , 1 n 2 + ( ϕ h , τ h ) B ˙ p , 1 n p .
Combining (6) with (10) yields
( ϕ , u ) L ˜ t ( B ˙ 2 , 1 n 2 1 ) + ( ϕ , u ) L t 1 ( B ˙ 2 , 1 n 2 + 1 ) ( ϕ 0 , u 0 ) B ˙ 2 , 1 n 2 1 + τ L t 1 ( B ˙ 2 , 1 n 2 ) + ( div ( ϕ u ) ) L t 1 ( B ˙ 2 , 1 n 2 1 ) + ( u · u ) L t 1 ( B ˙ 2 , 1 n 2 1 ) + F ( a , u , b , τ ) L t 1 ( B ˙ 2 , 1 n 2 1 ) .
In the following, we estimate each term on the right-hand side of (14). By Lemma 4, we first estimate the term ( u · u ) B ˙ 2 , 1 n 2 1 as follows
( u · u ) B ˙ 2 , 1 n 2 1 ( u B ˙ 2 , 1 n 2 1 + u h B ˙ p , 1 n p 1 ) u B ˙ p , 1 n p ( u B ˙ 2 , 1 n 2 1 + u h B ˙ p , 1 n p 1 ) ( u B ˙ 2 , 1 n 2 + 1 + u h B ˙ p , 1 n p + 1 ) E ( t ) E 1 ( t ) .
Using Lemmas 4 and 7, the same strategy can be used for the term ( div ( ϕ u ) ) B ˙ 2 , 1 n 2 1 , which is bounded by
( div ( ϕ u ) ) B ˙ 2 , 1 n 2 1 u B ˙ p , 1 n p ( ϕ B ˙ 2 , 1 n 2 + ϕ h B ˙ p , 1 n p ) + ϕ B ˙ p , 1 n p ( u B ˙ 2 , 1 n 2 + u h B ˙ p , 1 n p ) u B ˙ 2 , 1 n 2 2 + u h B ˙ p , 1 n p 2 + ϕ B ˙ 2 , 1 n 2 2 + ϕ h B ˙ p , 1 n p 2 ( ϕ , u ) B ˙ 2 , 1 n 2 1 ( ϕ , u ) B ˙ 2 , 1 n 2 + 1 + u h B ˙ p , 1 n p 1 u h B ˙ p , 1 n p + 1 + ϕ h B ˙ p , 1 n p 2 ( E 1 ( t ) + E ( t ) ) E ( t ) .
We now begin to estimate terms in F ( a , u , b , τ ) L t 1 ( B ˙ 2 , 1 n 2 1 ) . It is easy to check that the first term I ( a ) τ B ˙ 2 , 1 n 2 1 can be bounded by
I ( a ) τ B ˙ 2 , 1 n 2 1 I ( a ) B ˙ p , 1 n p ( τ B ˙ 2 , 1 n 2 1 + τ B ˙ p , 1 n p 1 h ) ( a B ˙ 2 , 1 n 2 1 + a h B ˙ p , 1 n p ) ( τ B ˙ 2 , 1 n 2 + τ h B ˙ p , 1 n p ) .
Keeping in mind that
I ( a ) = a a I ( a ) ,
we first use Lemmas 3 and 6 to get
( I ( a ) ) B ˙ 2 , 1 n 2 1 a B ˙ 2 , 1 n 2 1 + ( a I ( a ) ) B ˙ 2 , 1 n 2 1 a B ˙ 2 , 1 n 2 1 + I ( a ) B ˙ p , 1 n p ( a B ˙ 2 , 1 n 2 1 + a h B ˙ p , 1 n p 1 ) a B ˙ 2 , 1 n 2 1 + a B ˙ p , 1 n p ( a B ˙ 2 , 1 n 2 1 + a h B ˙ p , 1 n p ) a B ˙ 2 , 1 n 2 1 + ( a B ˙ 2 , 1 n 2 1 + a h B ˙ p , 1 n p ) 2 ( 1 + E ( t ) ) E ( t ) .
Similarly, we can infer from Lemmas 3 and 6 that
I ( a ) B ˙ p , 1 n p 1 a B ˙ p , 1 n p 1 + a I ( a ) B ˙ p , 1 n p 1 ( a B ˙ 2 , 1 n 2 1 + a h B ˙ p , 1 n p ) + a B ˙ p , 1 n p 1 I ( a ) B ˙ p , 1 n p ( a B ˙ 2 , 1 n 2 1 + a h B ˙ p , 1 n p ) + a B ˙ p , 1 n p 1 a B ˙ p , 1 n p ( 1 + a B ˙ 2 , 1 n 2 1 + a h B ˙ p , 1 n p ) ( a B ˙ 2 , 1 n 2 1 + a h B ˙ p , 1 n p ) ( 1 + E ( t ) ) E ( t ) .
Now, for the term I ( a ) ϕ in F ( a , u , b , τ ) , in view of the fact that ϕ = ϕ + ϕ h , we can write
( I ( a ) ϕ ) B ˙ 2 , 1 n 2 1 ( I ( a ) ϕ ) B ˙ 2 , 1 n 2 1 + ( I ( a ) ϕ h ) B ˙ 2 , 1 n 2 1 .
Thanks to Lemma 3 again, we have
( I ( a ) ϕ ) B ˙ 2 , 1 n 2 1 ϕ B ˙ p , 1 n p ( ( I ( a ) ) B ˙ 2 , 1 n 2 1 + ( I ( a ) ) h B ˙ p , 1 n p 1 ) ϕ B ˙ 2 , 1 2 ( ( I ( a ) ) B ˙ 2 , 1 n 2 1 + ( I ( a ) ) h B ˙ p , 1 n p 1 ) .
Combining (18), (19), and (21) leads to
( I ( a ) ϕ ) B ˙ 2 , 1 n 2 1 ϕ B ˙ 2 , 1 2 ( 1 + E ( t ) ) E ( t ) .
For the term ( I ( a ) ϕ h ) B ˙ 2 , 1 n 2 1 in (20), we use Bony’s decomposition to write
S ˙ j 0 + 1 ( I ( a ) ϕ h ) = T ˙ I ( a ) S ˙ j 0 + 1 ϕ h + [ S ˙ j 0 + 1 , T ˙ I ( a ) ] ϕ h + S ˙ j 0 + 1 ( T ˙ ϕ h I ( a ) + R ˙ ( I ( a ) , ϕ h ) ) .
Applying Lemma 2, it holds that
T ˙ I ( a ) S ˙ j 0 + 1 ϕ h B ˙ 2 , 1 n 2 1 I ( a ) B ˙ , 1 S ˙ j 0 + 1 ϕ h B ˙ 2 , 1 1 I ( a ) B ˙ p , 1 n p 1 ϕ B ˙ 2 , 1 2 ,
from this result along with (19), we can further get
T ˙ I ( a ) S ˙ j 0 + 1 ϕ h B ˙ 2 , 1 n 2 1 ( 1 + E ( t ) ) E ( t ) ϕ B ˙ 2 , 1 2 .
The last two terms in (23) can be estimated similarly so that
S ˙ j 0 + 1 ( T ˙ ϕ h I ( a ) + R ˙ ( I ( a ) , ϕ h ) ) B ˙ 2 , 1 n 2 1 + [ S ˙ j 0 + 1 , T ˙ I ( a ) ] ϕ h B ˙ 2 , 1 n 2 1 ϕ h B ˙ p , 1 n p 1 I ( a ) B ˙ p , 1 n p ϕ h B ˙ p , 1 n p a B ˙ p , 1 n p ( a B ˙ 2 , 1 n 2 1 + a h B ˙ p , 1 n p ) ϕ h B ˙ p , 1 n p E ( t ) ϕ h B ˙ p , 1 n p .
From (24) and (25), we have
( I ( a ) ϕ h ) B ˙ 2 , 1 n 2 1 ( 1 + E ( t ) ) E ( t ) ( ϕ B ˙ 2 , 1 2 + ϕ h B ˙ p , 1 n p ) .
which together with (20) and (22) give rise to
( I ( a ) ϕ ) B ˙ 2 , 1 n 2 1 ( 1 + E ( t ) ) E ( t ) ( ϕ B ˙ 2 , 1 2 + ϕ h B ˙ p , 1 n p ) .
Similarly,
I ( a ) ( Δ u + div u ) B ˙ 2 , 1 n 2 1 E ( t ) E 1 ( t ) .
Collecting (17), (26), and (27) together, we get
F ( a , u , b , τ ) B ˙ 2 , 1 n 2 1 ( 1 + E ( t ) ) E ( t ) E 1 ( t ) .
Thus plugging (15), (16), and (28) into (14) implies
( ϕ , u ) L ˜ t ( B ˙ 2 , 1 n 2 1 ) + ( ϕ , u ) L t 1 ( B ˙ 2 , 1 n 2 + 1 ) ( ϕ 0 , u 0 ) B ˙ 2 , 1 n 2 1 + τ L t 1 ( B ˙ 2 , 1 n 2 ) + 0 t ( 1 + E ( s ) ) E ( s ) E 1 ( s ) d s .
Now, applying Δ ˙ j to the fourth equation of (3) and taking the inner product L 2 with Δ ˙ j τ gives
1 2 d d t Δ ˙ j τ L 2 2 + c Δ ˙ j τ L 2 2 Δ ˙ j div ( τ u ) L 2 Δ ˙ j τ L 2 .
Multiplying (30) by 2 n 2 j / Δ ˙ j τ L 2 formally and integrating the resultant inequality from 0 to t, we can deduce by summing for j j 0 that
τ L ˜ t ( B ˙ 2 , 1 n 2 ) + τ L t 1 ( B ˙ 2 , 1 n 2 ) τ 0 B ˙ 2 , 1 n 2 + 0 t ( div ( τ u ) ) B ˙ 2 , 1 n 2 d s .
By Lemma 4, the last term on the right side of the above inequality can be controlled by
( div ( τ u ) ) B ˙ 2 , 1 n 2 ( τ div u ) B ˙ 2 , 1 n 2 1 + ( u · τ ) B ˙ 2 , 1 n 2 1 τ B ˙ p , 1 n p ( u B ˙ 2 , 1 n 2 + u h B ˙ p , 1 n p ) + u B ˙ p , 1 n p ( τ B ˙ 2 , 1 n 2 + τ h B ˙ p , 1 n p ) τ B ˙ 2 , 1 n 2 2 + τ h B ˙ p , 1 n p 2 + ( u B ˙ 2 , 1 n 2 1 + u h B ˙ p , 1 n p 1 ) ( u B ˙ 2 , 1 n 2 + 1 + u h B ˙ p , 1 n p + 1 ) .
Thus
τ L ˜ t ( B ˙ 2 , 1 n 2 ) + τ L t 1 ( B ˙ 2 , 1 n 2 ) τ 0 B ˙ 2 , 1 n 2 + 0 t ( τ B ˙ 2 , 1 n 2 2 + τ h B ˙ p , 1 n p 2 ) d s + 0 t ( u B ˙ 2 , 1 n 2 1 + u h B ˙ p , 1 n p 1 ) ( u B ˙ 2 , 1 n 2 + 1 + u h B ˙ p , 1 n p + 1 ) d s .
Multiplying (31) by a suitable large constant, and then adding to (29), we finally get
( ϕ , u ) L ˜ t ( B ˙ 2 , 1 n 2 1 ) + τ L ˜ t ( B ˙ 2 , 1 n 2 ) + ( ϕ , u ) L t 1 ( B ˙ 2 , 1 n 2 + 1 ) + τ L t 1 ( B ˙ 2 , 1 n 2 ) ( ϕ 0 , u 0 ) B ˙ 2 , 1 n 2 1 + τ 0 B ˙ 2 , 1 n 2 + 0 t ( 1 + E ( s ) ) E ( s ) E 1 ( s ) d s .
Subsequently, it is natural to derive the bound of a L ˜ t ( B ˙ 2 , 1 n 2 1 ) . Due to the appearance of the unwanted term div u , the boundedness cannot be directly established through conventional methods. Thus, we introduce a novel truncation technique to circumvent this obstacle. Define
δ ϕ 2 a = b a ,
which satisfies the following transport equation
t δ + u · δ + δ div u = 0 .
Now applying Δ ˙ j to the above equation and using the commutator argument yields
t Δ ˙ j δ + u · Δ ˙ j δ + [ Δ ˙ j , u · ] δ + Δ ˙ j ( δ div u ) = 0 .
Taking the inner product L 2 of the resulting equation with Δ ˙ j δ , and applying the Hölder inequality and integrating the resultant inequality over [ 0 , t ] , we derive
δ L ˜ t ( B ˙ 2 , 1 n 2 1 ) δ 0 B ˙ 2 , 1 n 2 1 + ( δ div u ) L t 1 ( B ˙ 2 , 1 n 2 1 ) + div u L δ L t 1 ( B ˙ 2 , 1 n 2 1 ) + 0 t j j 0 2 j ( n 2 1 ) [ Δ ˙ j , u · ] δ L 2 d s .
Using Lemma 4, the second and third terms on the right-hand side of the inequality can be controlled as follows:
( δ div u ) B ˙ 2 , 1 n 2 1 + div u L δ B ˙ 2 , 1 n 2 1 ( δ B ˙ 2 , 1 n 2 1 + δ h B ˙ p , 1 n p 1 ) div u B ˙ p , 1 n p ( ( a , ϕ ) B ˙ 2 , 1 n 2 1 + ( a h , ϕ h ) B ˙ p , 1 n p ) ( u B ˙ 2 , 1 n 2 + 1 + u h B ˙ p , 1 n p + 1 ) .
The last term in (33) can be bounded by a similar derivation of (4.9) in [38]:
j j 0 2 j ( n 2 1 ) [ Δ ˙ j , u · ] δ L 2 ( u B ˙ 2 , 1 n 2 + 1 + u h B ˙ p , 1 2 p + 1 ) ( ( a , ϕ ) B ˙ 2 , 1 n 2 1 + ( a h , ϕ h ) B ˙ p , 1 n p ) .
Taking (34) and (35) into (33), we obtain
δ L ˜ t ( B ˙ 2 , 1 n 2 1 ) ( a 0 , ϕ 0 ) B ˙ 2 , 1 n 2 1 + 0 t E ( s ) E 1 ( s ) d s .
which, combined with the definition a = 1 2 ( ϕ δ ) , leads to
a L ˜ t ( B ˙ 2 , 1 n 2 1 ) δ L ˜ t ( B ˙ 2 , 1 n 2 1 ) + ϕ L ˜ t ( B ˙ 2 , 1 n 2 1 ) ( a 0 , ϕ 0 ) B ˙ 2 , 1 n 2 1 + ϕ L ˜ t ( B ˙ 2 , 1 n 2 1 ) + 0 t E ( s ) E 1 ( s ) d s .
In the same manner, we can infer from the forth equation of (3) that
b L ˜ t ( B ˙ 2 , 1 n 2 1 ) ( b 0 , ϕ 0 ) B ˙ 2 , 1 n 2 1 + ϕ L ˜ t ( B ˙ 2 , 1 n 2 1 ) + 0 t E ( s ) E 1 ( s ) d s .
Consequently, combining (32), (36) and (37), we finally arrive at
( a , b , u ) L ˜ t ( B ˙ 2 , 1 n 2 1 ) + τ L ˜ t ( B ˙ 2 , 1 n 2 ) + ( ϕ , u ) L t 1 ( B ˙ 2 , 1 n 2 + 1 ) + τ L t 1 ( B ˙ 2 , 1 n 2 ) ( a 0 , b 0 , u 0 ) B ˙ 2 , 1 n 2 1 + τ 0 B ˙ 2 , 1 n 2 + 0 t ( 1 + E ( s ) ) E ( s ) E 1 ( s ) d s .

4.2. High-Frequency Estimates

In the high-frequency regime, the primary challenge arises from the absence of diffusion terms in the equations for a and b. The quasilinear terms in these equations lead to a loss of the derivatives. To overcome this difficulty, we introduce the new variable ϕ a + b and apply the operators Q to the momentum equation, obtaining the compressible part of Equation (3) as follows
t ϕ + 2 div u + u · ϕ + ϕ div u = 0 , t Q u 2 Δ Q u + ϕ = Q ( u · u ) + τ + Q F ( a , u , b , τ ) .
Similar to the approach used in [3,37], if we define an effective viscous flux
G Q u 1 2 Δ 1 ϕ ,
then G satisfies
t G 2 Δ G = G + 1 2 Δ 1 ϕ + 1 2 Q ( ϕ u ) Q ( u , u ) + τ + Q F ( a , u , b , τ ) .
Applying the heat estimate for the high frequencies of G , we get
G h L ˜ t ( B ˙ p , 1 n p 1 ) + G h L t 1 ( B ˙ p , 1 n p + 1 ) G 0 h B ˙ p , 1 n p 1 + G h L t 1 ( B ˙ p , 1 n p 1 ) + ϕ h L t 1 ( B ˙ p , 1 n p 2 ) + τ h L t 1 ( B ˙ p , 1 n p ) + Q ( ϕ u ) h L t 1 ( B ˙ p , 1 n p 1 ) + Q ( u , u ) h L t 1 ( B ˙ p , 1 n p 1 ) + Q F ( a , u , b , τ ) h L t 1 ( B ˙ p , 1 n p 1 ) .
Furthermore, ϕ satisfies
t ϕ + ϕ + div G = ϕ div u u · ϕ .
Applying Δ ˙ j to (39) and taking the inner product L p with Δ ˙ j ϕ , then multiplying by 2 n p j / Δ ˙ j ϕ L 2 formally and integrating the resultant inequality from 0 to t, we deduce by summing for j j 0 that
ϕ h L ˜ t ( B ˙ p , 1 n p ) + ϕ h L t 1 ( B ˙ p , 1 n p ) ϕ 0 h B ˙ p , 1 n p + G h L t 1 ( B ˙ p , 1 n p + 1 ) + 0 t ( ( ϕ div u ) h B ˙ p , 1 n p + div u L ϕ h B ˙ p , 1 n p ) d s + 0 t j j 0 2 n p j [ Δ ˙ , u · ] ϕ L p d s ,
where we have use a commutator argument.
Then by a standard energy argument, we deduce from (38) and (40) that
G h L ˜ t ( B ˙ p , 1 n p 1 ) + ϕ h L ˜ t ( B ˙ p , 1 n p ) + G h L t 1 ( B ˙ p , 1 n p + 1 ) + ϕ h L t 1 ( B ˙ p , 1 n p ) G 0 h B ˙ p , 1 n p 1 + ϕ 0 h B ˙ p , 1 n p + 0 t ( G h B ˙ p , 1 n p 1 + ϕ h B ˙ p , 1 n p 2 ) d s + 0 t τ h B ˙ p , 1 n p d s + 0 t ( ( ϕ div u ) h B ˙ p , 1 n p + ( u · u ) h B ˙ p , 1 n p 1 + ( ϕ u ) h B ˙ p , 1 n p 1 + div u L ϕ h B ˙ p , 1 n p ) d s + 0 t ( j j 0 2 n p j [ Δ ˙ , u · ] ϕ L p + F ( a , u , b , τ ) h B ˙ p , 1 n p 1 ) d s .
To control the right-hand side of (41), we have to estimate the nonlinear terms. Applying Lemma 3 and the interpolation inequality, we treat the nonlinear terms as follows
( ϕ div u ) h B ˙ p , 1 n p ϕ B ˙ p , 1 n p u B ˙ p , 1 n p + 1 ( ϕ B ˙ 2 , 1 n 2 1 + ϕ h B ˙ p , 1 n p ) ( u B ˙ 2 , 1 n 2 + 1 + u h B ˙ p , 1 n p + 1 ) , ( u · u ) h B ˙ p , 1 n p 1 u B ˙ p , 1 n p 1 u B ˙ p , 1 n p + 1 ( u B ˙ 2 , 1 n 2 1 + u h B ˙ p , 1 n p 1 ) ( u B ˙ 2 , 1 n 2 + 1 + u h B ˙ p , 1 n p + 1 ) ,
and
( ϕ u ) h B ˙ p , 1 n p 1 ϕ B ˙ p , 1 n p u B ˙ p , 1 n p ϕ B ˙ p , 1 n p 2 + u B ˙ p , 1 n p 2 ϕ B ˙ 2 , 1 n 2 1 ϕ B ˙ 2 , 1 n 2 + 1 + ϕ h B ˙ p , 1 n p 2 + u B ˙ 2 , 1 n 2 1 u B ˙ 2 , 1 n 2 + 1 + u h B ˙ p , 1 n p 1 u h B ˙ p , 1 n p + 1 .
By Lemma 5 we infer that
j j 0 2 n p j [ Δ ˙ , u · ] ϕ L p ϕ B ˙ p , 1 n p u B ˙ p , 1 n p + 1 ( ϕ B ˙ 2 , 1 n 2 1 + ϕ h B ˙ p , 1 n p ) ( u B ˙ 2 , 1 n 2 + 1 + u h B ˙ p , 1 n p + 1 ) .
The term I ( a ) ( Δ u + div u ) in F ( a , u , b , τ ) can be estimated in a similar way to (42). Here we just give some representative term I ( a ) ( τ ϕ )  as follows, and, with the aid of Lemma 6, we get
I ( a ) ( τ ϕ ) B ˙ p , 1 n p 1 h I ( a ) B ˙ p , 1 n p τ ϕ B ˙ p , 1 n p 1 h I ( a ) B ˙ p , 1 n p 2 + τ ϕ B ˙ p , 1 n p 1 2 a B ˙ p , 1 n p 2 + ( τ ϕ ) B ˙ 2 , 1 n 2 1 2 + ( τ ϕ ) h B ˙ p , 1 n p 1 2 a B ˙ p , 1 n p 2 + ϕ B ˙ 2 , 1 n 2 1 ϕ B ˙ 2 , 1 n 2 + 1 + ϕ h B ˙ p , 1 n p 2 + τ B ˙ 2 , 1 n 2 2 + τ h B ˙ p , 1 n p 2 .
Next, we deal with the estimation on τ . From the fourth equation of (3) we get
τ h L ˜ t ( B ˙ p , 1 n p ) + τ h L t 1 ( B ˙ p , 1 n p ) τ 0 h B ˙ p , 1 n p + 0 t ( τ div u ) h B ˙ p , 1 n p d s + 0 t div u L τ h B ˙ p , 1 n p d s + 0 t j j 0 2 n p j [ Δ ˙ , u · ] τ L p d s τ 0 h B ˙ p , 1 n p + 0 t ( τ B ˙ 2 , 1 n 2 + τ h B ˙ p , 1 n p ) ( u B ˙ 2 , 1 n 2 + 1 + u h B ˙ p , 1 n p + 1 ) d s ,
where we used the fact
( τ div u ) h B ˙ p , 1 n p + j j 0 2 n p j [ Δ ˙ , u · ] τ L p ( τ B ˙ 2 , 1 n 2 + τ h B ˙ p , 1 n p ) ( u B ˙ 2 , 1 n 2 + 1 + u h B ˙ p , 1 n p + 1 ) .
Applying the operator P to the momentum equation, we get the equation for the incompressible part of u as follows
t P u Δ P u + P ( u · u ) = P F ( a , u , b , τ ) .
By using a standard energy estimation, we get
P u h L ˜ t ( B ˙ p , 1 n p 1 ) + P u h L t 1 ( B ˙ p , 1 n p + 1 ) P u 0 h B ˙ p , 1 n p 1 + 0 t ( u · u ) h B ˙ p , 1 n p 1 d s + 0 t F h ( a , u , b , τ ) B ˙ p , 1 n p 1 d s .
Summing up (41), (43), and (44), and noticing that Q u = G + 1 2 Δ 1 ϕ , we obtain
u h L ˜ t ( B ˙ p , 1 n p 1 ) + ( ϕ h , τ h ) L ˜ t ( B ˙ p , 1 n p ) + u h L t 1 ( B ˙ p , 1 n p + 1 ) + ( ϕ h , τ h ) L t 1 ( B ˙ p , 1 n p ) u 0 h B ˙ p , 1 n p 1 + ( ϕ 0 h , τ 0 h ) B ˙ p , 1 n p + 0 t E 1 ( s ) E ( s ) d s .
Finally, we combine the estimates above to obtain the bound of a h L ˜ t ( B ˙ p , 1 n p ) . It directly follows from a similar derivation of (40) that
a h L ˜ t ( B ˙ p , 1 n p ) a 0 h B ˙ p , 1 n p + u h L t 1 ( B ˙ p , 1 n p + 1 ) + 0 t u B ˙ p , 1 n p a B ˙ p , 1 n p d s a 0 h B ˙ p , 1 n p + u h L t 1 ( B ˙ p , 1 n p + 1 ) + 0 t E 1 ( s ) E ( s ) d s .
In the same manner, we can infer that
b h L ˜ t ( B ˙ p , 1 n p ) b 0 h B ˙ p , 1 n p + u h L t 1 ( B ˙ p , 1 n p + 1 ) + 0 t E 1 ( s ) E ( s ) d s .
Multiplying by a suitable large constant on both sides of (45) and then adding (46) and (47), we finally achieve
( a h , b h , τ h ) L ˜ t ( B ˙ p , 1 n p ) + u h L ˜ t ( B ˙ p , 1 n p 1 ) + u h L t 1 ( B ˙ p , 1 n p + 1 ) + ( ϕ h , τ h ) L t 1 ( B ˙ p , 1 n p ) ( a 0 h , b 0 h , τ 0 h ) B ˙ p , 1 n p + u 0 h B ˙ p , 1 n p 1 + 0 t E 1 ( s ) E ( s ) d s .

4.3. Proof of Theorem 2

In this subsection, we shall prove Theorem 2 by applying the local existence result and the continuous arguments. Denote
X ( t ) ( a , u , b ) L ˜ t ( B ˙ 2 , 1 n 2 1 ) + τ L ˜ t ( B ˙ 2 , 1 n 2 ) + ( ϕ , u ) L t 1 ( B ˙ 2 , 1 n 2 + 1 ) + τ L t 1 ( B ˙ 2 , 1 n 2 ) + u h L ˜ t ( B ˙ p , 1 n p 1 ) + ( a h , b h , τ h ) L ˜ t ( B ˙ p , 1 n p ) + u h L t 1 ( B ˙ p , 1 n p + 1 ) + ( ϕ h , τ h ) L t 1 ( B ˙ p , 1 n p ) , X 0 ( a 0 , u 0 , b 0 ) B ˙ 2 , 1 n 2 1 + τ 0 B ˙ 2 , 1 n 2 + u 0 h B ˙ p , 1 n p 1 + ( a 0 h , b 0 h , τ 0 h ) B ˙ p , 1 n p .
Subsequently, we deduce from (32) and (45) that
X ( t ) X 0 + C ( X ( t ) ) 2 ( 1 + C X ( t ) ) .
Let X 0 c 0 as stated in Theorem 2. Using the local existence in Theorem 1, we deduce that there exists a positive time T such that
X ( t ) 2 c 0 , t [ 0 , T ] .
By using a standard continuation argument, we can show that, if c 0 is small enough, then T = sup T * > 0 | X ( t ) 2 c 0 holds = . This completes the proof of Theorem 2.

5. Proof of Theorem 3

The goal of this section is to obtain the decay rate of the solutions by the method (which is different from the spectral analysis) used in [39,40]. This approach relies on constructing a Lyapunov function for ( ϕ , u , τ ) , which is derived from the energy inequality of the solutions, along with the interpolation and embedding theorem. To achieve this, we first establish the propagation of the initial data’s regularity in Besov space with low regularity, as shown in the following Proposition 1.
Proposition 1.  
Let ( a , u , b , τ ) be the solution of (3) constructed in Theorem 2 with p = 2 . For any n 2 σ < n 2 1 such that ( a 0 , u 0 , b 0 ) B ˙ 2 , σ ( R n ) , τ 0 B ˙ 2 , σ + 1 ( R n ) , then there exists a constant C 0 > 0 depending on the norm of the initial data such that for all t 0 ,
( a , u , b ) ( t , · ) B ˙ 2 , σ + τ ( t , · ) B ˙ 2 , σ + 1 C 0 .
Proof.  
The proof of this proposition can be obtained the same as Proposition 5.1 in [41]. We omit the details here. □
In the following, our main goal is to establish a Lyapunov-type inequality. From the proof of Theorem 2, we can get the following inequality
d d t ( ( ϕ , u ) B ˙ 2 , 1 n 2 1 + τ B ˙ 2 , 1 n 2 + u h B ˙ 2 , 1 n 2 1 + ( ϕ h , τ h ) B ˙ 2 , 1 n 2 ) + ( ϕ , u ) B ˙ 2 , 1 n 2 + 1 + τ B ˙ 2 , 1 n 2 + u h B ˙ 2 , 1 n 2 + 1 + ( ϕ h , τ h ) B ˙ 2 , 1 n 2 ( ( ϕ , u ) B ˙ 2 , 1 n 2 1 + u h B ˙ 2 , 1 n 2 1 ) ( ( ϕ , u ) B ˙ 2 , 1 n 2 + 1 + u h B ˙ 2 , 1 n 2 + 1 ) + ( a B ˙ 2 , 1 n 2 1 + τ B ˙ 2 , 1 n 2 + ( a h , b h , τ h ) B ˙ 2 , 1 n 2 ) ( τ B ˙ 2 , 1 n 2 + ( ϕ h , τ h ) B ˙ 2 , 1 n 2 ) .
Since the solution which we have proved in (4) satisfies
( a , u , b ) L ˜ t ( B ˙ 2 , 1 n 2 1 ) + τ L ˜ t ( B ˙ 2 , 1 n 2 ) + u h L ˜ t ( B ˙ 2 , 1 n 2 1 ) + ( a h , b h , τ h ) L ˜ t ( B ˙ 2 , 1 n 2 ) C c 0 ,
this, along with (50), allows us to obtain
d d t ( ( ϕ , u ) B ˙ 2 , 1 n 2 1 + τ B ˙ 2 , 1 n 2 + u h B ˙ 2 , 1 n 2 1 + ( ϕ h , τ h ) B ˙ 2 , 1 n 2 ) + ( ϕ , u ) B ˙ 2 , 1 n 2 + 1 + τ B ˙ 2 , 1 n 2 + u h B ˙ 2 , 1 n 2 + 1 + ( ϕ h , τ h ) B ˙ 2 , 1 n 2 0 .
By applying the interpolation inequality, for any n 2 σ < n 2 1 , it holds that
( ϕ , u ) B ˙ 2 , 1 n 2 1 C ( ( ϕ , u ) B ˙ 2 , σ ) θ 1 ( ( ϕ , u ) B ˙ 2 , 1 n 2 + 1 ) 1 θ 1 ,
with θ 1 = 4 n 2 σ + 2 ( 0 , 1 ) . By using (49), we directly obtain that
( ϕ , u ) B ˙ 2 , 1 n 2 + 1 c 0 ( ( ϕ , u ) B ˙ 2 , 1 n 2 1 ) 1 1 θ 1 .
Subsequently, again by the interpolation inequality, we have
τ B ˙ 2 , 1 n 2 C ( τ B ˙ 2 , σ + 1 ) θ 1 ( τ B ˙ 2 , 1 n 2 + 2 ) 1 θ 1 c 0 ( τ B ˙ 2 , 1 n 2 + 2 ) 1 θ 1 .
Hence, we obtain
τ B ˙ 2 , 1 n 2 C τ B ˙ 2 , 1 n 2 + 2 ( τ B ˙ 2 , 1 n 2 ) 1 1 θ 1 .
In addition, thanks to ( ϕ , u , τ ) B ˙ 2 , 1 n 2 1 h 1 , it follows by taking α = 1 + θ 1 that
C ( ( ϕ , τ ) B ˙ 2 , 1 n 2 h + u B ˙ 2 , 1 n 2 1 h ) ( ( ϕ , τ ) B ˙ 2 , 1 n 2 h + u B ˙ 2 , 1 n 2 1 h ) 1 + α .
Finally, substituting (52), (53), and (54) into (51), we infer that
d d t ( ( ϕ , u ) B ˙ 2 , 1 n 2 1 + τ B ˙ 2 , 1 n 2 + u h B ˙ 2 , 1 n 2 1 + ( ϕ h , τ h ) B ˙ 2 , 1 n 2 ) + c 1 ( ( ϕ , u ) B ˙ 2 , 1 n 2 1 + τ B ˙ 2 , 1 n 2 + u h B ˙ 2 , 1 n 2 1 + ( ϕ h , τ h ) B ˙ 2 , 1 n 2 ) 1 + 4 n 2 σ 2 0 .
Thus, by solving this differential inequality we obtain
( ϕ , u ) B ˙ 2 , 1 n 2 1 + τ B ˙ 2 , 1 n 2 + ( a , τ ) B ˙ 2 , 1 n 2 h + ( u , b ) B ˙ 2 , 1 n 2 1 h C ( 1 + t ) n 2 σ 2 4 .
Choosing any γ 1 satisfying σ < γ 1 < n 2 1 , then it follows from (49) and the interpolation inequality that
( ϕ , u ) B ˙ 2 , 1 γ 1 C ( ϕ , u ) B ˙ 2 , 1 γ 1 + n 2 n 2 C ( ( ϕ , u ) B ˙ 2 , σ ) θ 2 ( a , u , b B ˙ 2 , 1 n 2 1 ) 1 θ 2 , C ( 1 + t ) ( n 2 σ 1 ) ( 1 θ 2 ) 2 C ( 1 + t ) n 2 ( 1 2 1 p ) γ 1 σ 2 , θ 2 = n 2 γ 1 1 n 2 σ 1 ( 0 , 1 ) .
For the high frequency, we have
( ϕ , u ) B ˙ 2 , 1 γ 1 h C ( a B ˙ 2 , 1 n 2 h + ( u , b ) B ˙ 2 , 1 n 2 1 h ) C ( 1 + t ) n 2 σ 2 4 .
Then combing (55) and (56) yields
( ϕ , u ) B ˙ 2 , 1 γ 1 C ( ( ϕ , u ) B ˙ 2 , 1 γ 1 + ( ϕ , u ) B ˙ 2 , 1 γ 1 h ) C ( 1 + t ) n 2 ( 1 2 1 p ) γ 1 σ 2 + C ( 1 + t ) n 2 σ 2 4 C ( 1 + t ) n 2 ( 1 2 1 p ) γ 1 σ 2 .
Subsequently, using the embedding B ˙ 2 , 1 0 L 2 , it implies
Λ γ 1 ( ϕ , u ) L 2 C ( 1 + t ) γ 1 σ 2 .
Choosing γ 2 such that σ + 1 < γ 2 < n 2 , it follows from the interpolation inequality that
τ B ˙ 2 , 1 γ 2 C ( τ B ˙ 2 , 1 γ 2 + τ B ˙ 2 , 1 γ 2 h ) C τ B ˙ 2 , 1 γ 2 + C τ B ˙ 2 , 1 n 2 h C ( τ B ˙ 2 , σ + 1 ) θ 2 ( τ B ˙ 2 , 1 n 2 ) 1 θ 2 + C τ B ˙ 2 , 1 n 2 h C ( 1 + t ) γ 2 σ 1 2 .
Thus, again by using the embedding B ˙ 2 , 1 0 L 2 , we finally get
Λ γ 2 τ L 2 C ( 1 + t ) γ 2 σ 1 2 .
This completes the proof of Theorem 3.

Author Contributions

Writing—original draft, Y.D.; Writing—review & editing, Y.D., F.L., H.M. and Y.Z.; Project administration, Y.D. and Y.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the following funding sources: National Natural Science Foundation of China grant number 12301269; Guangzhou Municipal Science and Technology Project grant number 2025A04J5086; China Postdoctoral Science Foundation grant number 2023TQ0309; Postdoctoral Fellowship Program of CPSF grant number GZC20232440.

Data Availability Statement

The original contributions presented in the study are included in the article; further inquiries can be directed to the corresponding authors.

Acknowledgments

This work was supported in part by the National Natural Science Foundation of China under the grant number 12301269, the Guangzhou Science and Technology Program Project under the grant number 2025A04J5086, the China Postdoctoral Science Foundation under grant 2023TQ0309, and the Postdoctoral Fellowship Program of CPSF under grant GZC20232440.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

References

  1. Baranovskii, E.S. Flow-through problem for a Jeffreys type viscoelastic fluid. Physica D 2025, 481, 134726. [Google Scholar] [CrossRef]
  2. Chen, Q.; Miao, C.; Zhang, Z. Global well-posedness for compressible Navier-Stokes equations with highly oscillating initial velocity. Comm. Pure Appl. Math. 2010, 63, 1173–1224. [Google Scholar] [CrossRef]
  3. Chen, Z.; Zhai, X. Global large solutions and incompressible limit for the compressible Navier-Stokes equations. J. Math. Fluid Mech. 2019, 21, 26. [Google Scholar] [CrossRef]
  4. Danchin, R. Global existence in critical spaces for compressible Navier-Stokes equations. Invent. Math. 2000, 141, 579–614. [Google Scholar] [CrossRef]
  5. Danchin, R. A Lagrangian approach for the compressible Navier-Stokes equations. Ann. Inst. Fourier Grrenoble 2014, 64, 753–791. [Google Scholar] [CrossRef]
  6. Danchin, R.; He, L. The incompressible limit in Lp type criticla spaces. Math. Ann. 2016, 366, 1365–1402. [Google Scholar] [CrossRef]
  7. Danchin, R.; Xu, J. Optimal time-decay estimates for the compressible Navier-Stokes equations in the critical Lp framework. Arch. Ration. Mech. Anal. 2017, 224, 53–90. [Google Scholar] [CrossRef]
  8. Feireisl, E. Compressible Navier-Stokes equations with a non-monotone pressure law. J. Differ. Equ. 2002, 184, 97–108. [Google Scholar] [CrossRef]
  9. Feireisl, E.; Novotný, A.; Petzeltová, H. On the global existence of globally defined weak solutions to the Navier-Stokes equations of isentropic compressible fluids. J. Math. Fluid Mech. 2001, 3, 358–392. [Google Scholar] [CrossRef]
  10. Lei, Z. Global existence of classical solutions for some Oldroyd-B model via the incompressible limit. Chinses Ann. Math. Ser. B 2006, 27, 565–580. [Google Scholar] [CrossRef]
  11. Guillopé, C.; Salloum, Z.; Talhouk, R. Regular flows of weakly compressible viscoelastic fluids and the incompressible limit. Discrete Contin. Dyn. Syst. Ser. B 2010, 14, 1001–1028. [Google Scholar] [CrossRef]
  12. Baranovskii, E.S. On steady motion of viscoelastic fluid of Oldroyd type. Mat. Sb. 2014, 205, 763–776. [Google Scholar] [CrossRef]
  13. Zi, R. Global solution in critical spaces to the compressible Oldroyd-B model with non-small coupling parameter. Discrete Contin. Dyn. Syst. Ser. A 2017, 37, 6437–6470. [Google Scholar] [CrossRef]
  14. Guo, C.; Zhai, X.; Zhang, S. Stability and exponential decay for the compressible Oldroyd-B model with non-small coupling parameter. J. Differ. Equ. 2024, 393, 278–295. [Google Scholar] [CrossRef]
  15. Zhai, X.; Chen, Z. Global wellposedness to the n-dimensional compressible Oldroyd-B model without damping mechanism. J. Dynam. Differ. Equ. 2024, 36, 1405–1433. [Google Scholar] [CrossRef]
  16. Hu, X.; Wu, G. Global existence and optimal decay rates for three-dimensional compressible viscoelastic flows. SIAM J. Math. Anal. 2013, 45, 2815–2833. [Google Scholar] [CrossRef]
  17. Pan, X.; Xu, J. Global existence and optimal decay estimates of the compressible viscoelastic flows in Lp critical spaces. Discret. Contin. Dyn. Syst. Ser. A 2019, 39, 2021–2057. [Google Scholar] [CrossRef]
  18. Qian, J.; Zhang, Z. Global well-posedness for compressible viscoelastic fluids near equilibrium. Arch. Ration. Mech. Anal. 2010, 198, 835–868. [Google Scholar] [CrossRef]
  19. Chemin, J.Y.; Masmoudi, N. About lifespan of regular solutions of equations related to viscoelastic fluids. SIAM J. Math. Anal. 2001, 33, 84–112. [Google Scholar] [CrossRef]
  20. Elgindi, T.M.; Rousset, F. Global regularity for some Oldroyd-B type models. Comm. Pure Appl. Math. 2015, 68, 2005–2021. [Google Scholar] [CrossRef]
  21. Guillopé, C.; Saut, J.C. Existence results for the flow of viscoelastic fluids with a differential constitutive law. Nonlinear Anal. 1990, 15, 849–869. [Google Scholar] [CrossRef]
  22. Guillopé, C.; Saut, J.C. Global existence and one-dimensional nonlinear stability of shearing motions of viscoelastic fluids of Oldroyd type. RAIRO Modél. Math. Anal. Numér. 1990, 24, 369–401. [Google Scholar] [CrossRef]
  23. Lin, F. Some analytical issues for elastic complex fluids. Comm. Pure Appl. Math. 2012, 65, 893–919. [Google Scholar] [CrossRef]
  24. Renardy, M. Local existence of solutions of the Dirichlet initial-boundary value problem for incompressible hypoelastic materials. SIAM J. Math. Anal. 1990, 21, 1369–1385. [Google Scholar] [CrossRef]
  25. Barrett, J.W.; Lu, Y.; Süli, E. Existence of large data finite energy global weak solutions to a compressible Oldroyd-B model. Commun. Math. Sci. 2017, 15, 1265–1323. [Google Scholar] [CrossRef]
  26. Barrett, J.W.; Boyaval, S. Existence and approximation of a (regularized) Oldroyd-B model. Math. Models Methods Appl. Sci. 2011, 21, 1783–1837. [Google Scholar] [CrossRef]
  27. Barrett, J.W.; Süli, E. Existence of global weak solutions to compressible isentropic finitely extensible nonlinear bead-spring chain models for dilute polymers: The two-dimensional case. J. Differ. Equ. 2012, 261, 592–626. [Google Scholar] [CrossRef]
  28. Lu, Y.; Zhang, Z. Relative entropy, weak-strong uniqueness and conditional regularity for a compressible Oldroyd-B model. SIAM J. Math. Anal. 2018, 50, 557–590. [Google Scholar] [CrossRef]
  29. Wang, W.; Wen, H. The Cauchy problem for an Oldroyd-B model in three dimensions. Math. Models Methods Appl. Sci. 2020, 30, 139–179. [Google Scholar] [CrossRef]
  30. Zhai, X.; Li, Y. Global wellposedness and large time behavior of solutions to the N-dimensional compressible Oldroyd-B model. J. Differ. Equ. 2021, 290, 116–146. [Google Scholar] [CrossRef]
  31. Liu, S.; Wang, W.; Wen, H. On the Cauchy problem for an inviscid Oldroyd-B model in three dimensions: Global well posedness and optimal decay rates. Proc. Roy. Soc. Edinburgh Sect. A 2023, 153, 441–490. [Google Scholar] [CrossRef]
  32. Zhai, X.; Zhao, Y. Stability of the generalized compressible Oldroyd-B model. J. Math. Phys. 2025, 66, 011512. [Google Scholar] [CrossRef]
  33. Lu, Y.; Pokorný, M. Global existence of large data weak solutions for a simplified compressible Oldroyd-B model without stress diffusion. Anal. Theory Appl. 2020, 36, 348–372. [Google Scholar] [CrossRef]
  34. Liu, S.; Lu, Y.; Wen, H. On the Cauchy problem for a compressible Oldroyd-B model without stress diffusion. SIAM J. Math. Anal. 2021, 53, 6216–6242. [Google Scholar] [CrossRef]
  35. Zhai, X. Large global solutions to the three dimensional compressible flow of liquid crystals. Nonlinear Anal. 2025, 250, 113657. [Google Scholar] [CrossRef]
  36. Bahouri, H.; Chemin, J.Y.; Danchin, R. Fourier Analysis and Nonlinear Partial Nifferential Equations. In Grundlehren der Mathematischen Wissenschaften; Springer: Berlin/Heidelberg, Germany, 2011; Volume 343. [Google Scholar]
  37. Haspot, B. Existence of global strong solutions in critical spaces for barotropic viscous fluids. Arch. Ration. Mech. Anal. 2011, 202, 427–460. [Google Scholar] [CrossRef]
  38. He, L.; Huang, J.; Wang, C. Global stability of large solutions to the 3D compressible Navier-Stokes equations. Arch. Ration. Mech. Anal. 2019, 234, 1167–1222. [Google Scholar] [CrossRef]
  39. Guo, Y.; Wang, J. Decay of dissipative equations and negative sobolev spaces. Comm. Part. Differ. Equ. 2012, 37, 2165–2208. [Google Scholar] [CrossRef]
  40. Xin, Z.; Xu, J. Optimal decay for the compressible Navier-Stokes equations without additional smallness assumptions. J. Differ. Equ. 2021, 274, 543–574. [Google Scholar] [CrossRef]
  41. Dong, B.; Wu, J.; Zhai, X. Global small solutions to a special 212-D compressible viscous non-resistive MHD system. J. Nonlinear Sci. 2023, 33, 21. [Google Scholar] [CrossRef]
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Dan, Y.; Li, F.; Ma, H.; Zhao, Y. On the Cauchy Problem for a Simplified Compressible Oldroyd–B Model Without Stress Diffusion. Mathematics 2025, 13, 2589. https://doi.org/10.3390/math13162589

AMA Style

Dan Y, Li F, Ma H, Zhao Y. On the Cauchy Problem for a Simplified Compressible Oldroyd–B Model Without Stress Diffusion. Mathematics. 2025; 13(16):2589. https://doi.org/10.3390/math13162589

Chicago/Turabian Style

Dan, Yuanyuan, Feng Li, Haitao Ma, and Yajuan Zhao. 2025. "On the Cauchy Problem for a Simplified Compressible Oldroyd–B Model Without Stress Diffusion" Mathematics 13, no. 16: 2589. https://doi.org/10.3390/math13162589

APA Style

Dan, Y., Li, F., Ma, H., & Zhao, Y. (2025). On the Cauchy Problem for a Simplified Compressible Oldroyd–B Model Without Stress Diffusion. Mathematics, 13(16), 2589. https://doi.org/10.3390/math13162589

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