1. Introduction and main results
It is well known that every bounded harmonic function on
$\mathbb {R}^n$ is constant. This is the classical Liouville theorem for the Laplace equation. Such a kind of results was later generalized to many other partial differential equations (PDEs). It has played an important role in analysing the singularity and classification of solutions for PDEs, etc. In this paper we are interested in the Liouville-type theorem for solutions of the steady incompressible Navier–Stokes system,
where
${\boldsymbol {u}}=(u^1, u^2, u^3)$ is the velocity field and
$\varOmega$ is the slab
$\mathbb {R}^2 \times [0, 1]$ with no-slip boundary conditions
or with the periodic boundary condition in
$x_3$. In the latter case, we may denote the domain by
$\mathbb {R}^2\times \mathbb {T}$ and regard the flows as periodic flows in one direction.
Note that the solutions of (1.1) in
$\mathbb {R}^2\times \mathbb {T}$ can also be regarded as solutions in the whole
$\mathbb {R}^3$. The existence of solutions for (1.1) in an exterior domain
$\varOmega$ satisfying
was studied by Leray in the pioneering work Leray (Reference Leray1933). A solution to (1.1) in an exterior domain or the whole space is called a
$D$ solution if it satisfies (1.3). With the aid of the maximum principle for the vorticity, a Liouville theorem for
$D$ solutions of the two-dimensional steady Navier–Stokes system in the whole plane was established in Gilbarg & Weinberger (Reference Gilbarg and Weinberger1978). A longstanding open problem is whether a three-dimensional (3-D)
$D$ solution in an exterior domain with homogeneous boundary conditions or in the whole space must equal to zero when it tends to zero at far field (cf. Galdi Reference Galdi2011). When
$\varOmega = \mathbb {R}^3$, there are a lot of studies for this problem. It was proved in Galdi (Reference Galdi2011, Theorem X.9.5) that the
$D$ solution must be zero provided
${\boldsymbol {u}} \in L^{{9}/{2}}(\mathbb {R}^3)$. There has been quite a lot of progress along this direction in recent years, one may refer to Bildhauer, Fuchs & Zhang (Reference Bildhauer, Fuchs and Zhang2013), Chae & Wolf (Reference Chae and Wolf2016), Chamorro, Jarrín & Lemarié-Rieusset (Reference Chamorro, Jarrín and Lemarié-Rieusset2021), Kozono, Terasawa & Wakasugi (Reference Kozono, Terasawa and Wakasugi2017), Seregin (Reference Seregin2016), Chae (Reference Chae2014) and references therein.
The cylindrical coordinates are convenient to study the Navier–Stokes system. Here we first introduce the cylindrical coordinates
$(r,\theta, z)$ defined as
and we write the components of the velocity
${\boldsymbol {u}}$ as
${\boldsymbol {u}}=u^r {\boldsymbol {e}}_r +u^\theta {\boldsymbol {e}}_\theta +u^z {\boldsymbol {e}}_z$, where
$u^r$,
$u^\theta$ and
$u^z$ are called radial, swirl and axial velocity, respectively, with
We sometimes use Cartesian coordinates
$(x_1,x_2,x_3)$ with
$(u^1,u^2,u^3)$ and, other times, use cylindrical coordinates
$(r,\theta,z)$ with
$(u^r,u^\theta,u^z)$. If no confusion arises, we may write
$x_3$ and
$z$ interchangeably to indicate the third coordinate. Likewise, we may use
$u^3$ and
$u^z$ interchangeably to represent the third component of the velocity
${\boldsymbol {u}}$.
A solution
${\boldsymbol {u}}$ is called an axisymmetric solution if all the components
$u^r, u^\theta, u^z$ are independent of
$\theta$. In the cylindrical coordinates, the Navier–Stokes system (1.1) can be written as
\begin{equation} \left. \begin{array}{@{}c@{}} \displaystyle \left(u^r \partial_r + \dfrac{u^\theta}{r} \partial_\theta + u^z \partial_z\right)u^r - \dfrac{(u^\theta)^2}{r} + \dfrac{2}{r^2} \partial_\theta u^\theta + \partial_r P = \left(\varDelta_{r,\theta, z} - \dfrac{1}{r^2} \right) u^r,\\ \displaystyle \left(u^r \partial_r + \dfrac{u^\theta }{r} \partial_\theta + u^z \partial_z\right)u^\theta + \dfrac{u^\theta u^r}{r} - \dfrac{2}{r^2} \partial_\theta u^r + \dfrac{1}{r} \partial_\theta P = \left(\varDelta_{r,\theta, z} - \dfrac{1}{r^2} \right) u^\theta,\\ \displaystyle \left(u^r \partial_r + \dfrac{u^\theta}{r} \partial_\theta + u^z \partial_z\right)u^z + \partial_z P =\varDelta_{r,\theta, z} u^z,\\ \displaystyle \partial_r u^r +\dfrac{1}{r}\partial_\theta u^\theta+\partial_z u^z +\dfrac{u^r}{r}=0, \end{array}\right\} \end{equation}where
The Liouville-type theorems for axisymmetric
$D$ solutions were established when the pointwise behaviour for the velocity field or vorticity is prescribed at far field; see Korobkov, Pileckas & Russo (Reference Korobkov, Pileckas and Russo2015), Chae & Weng (Reference Chae and Weng2016), Kozono et al. (Reference Kozono, Terasawa and Wakasugi2017), Wang (Reference Wang2019), Zhao (Reference Zhao2019), Carrillo et al. (Reference Carrillo, Pan, Zhang and Zhao2020) and references therein.
As pointed out in Tsai (Reference Tsai2021), a strong version of Liouville-type theorems for the steady Navier–Stokes system in the whole space was conjectured by Seregin and Sverak: whether the solutions
${\boldsymbol {u}} \in H_{loc}^1(\mathbb {R}^3) \cap L^\infty (\mathbb {R}^3)$ must be constant vectors. A significant result in Koch et al. (Reference Koch, Nadirashvili, Seregin and Sverák2009), Chen et al. (Reference Chen, Strain, Tsai and Yau2008), Chen et al. (Reference Chen, Strain, Tsai and Yau2009) asserts that every bounded axisymmetric steady solution with a type I singularity for the Navier–Stokes system is trivial. This Liouville-type theorem also holds for bounded two-dimensional solutions for the steady Navier–Stokes system in the whole plane. We note that a similar Liouville-type theorem holds for the Stokes equation for all dimensions (Jia, Seregin & Sverák Reference Jia, Seregin and Sverák2012). Furthermore, the analysis on ancient solutions of the Navier–Stokes system in Lei, Ren & Zhang (Reference Lei, Ren and Zhang2022) asserts that the bounded axisymmetric steady solution in
$\mathbb {R}^2 \times \mathbb {T}$ must be zero if the swirl velocity also decays as
$r^{-1}$ at far field. A similar Liouville-type theorem holds for the Stokes equation for all dimensions.
Very recently, the flows in a slab were studied in Carrillo, Pan & Zhang (Reference Carrillo, Pan and Zhang2020), Carrillo et al. (Reference Carrillo, Pan, Zhang and Zhao2020). It was proved that the smooth solution
${\boldsymbol {u}}$ of (1.1) must be
$0$ if
${\boldsymbol {u}}$ satisfies either the no-slip boundary conditions (1.2) together with (1.3) or that
${\boldsymbol {u}}$ is axisymmetric, periodic in the axial direction and satisfies (1.3). The results for the bounded periodic solutions were improved in Pan (Reference Pan2021) where both condition (1.3) and independence of
$\theta$ for the swirl velocity
$u^\theta$ are needed. The Liouville-type theorem for flows in a slab with both no-slip boundary conditions and periodic conditions was obtained under refined conditions in Tsai (Reference Tsai2021).
In this paper we focus on the Liouville-type theorem for flows in a slab. Our first result is on the axisymmetric solutions of the steady Navier–Stokes system in a slab with no-slip boundary conditions.
Theorem 1.1 Let
$\varOmega =\mathbb {R}^2 \times (0,1)$ and
${\boldsymbol {u}}$ be a smooth axisymmetric solution of the Navier–Stokes system (1.1) with no-slip boundary conditions (1.2). Then
${\boldsymbol {u}} \equiv 0$ if either (a)
where
\begin{equation} \mathcal{E}(R)=\displaystyle \int_0^1 \int_{\{x_1^2+x_2^2 < R^2\}} |\boldsymbol{\nabla} {\boldsymbol{u}}|^2 \, {\rm d}\kern0.07em x_1\, {\rm d}\kern0.07em x_2\, {\rm d}\kern0.07em x_3, \end{equation}or (b)
There are a few remarks in order.
Remark 1.1 Theorem 1.1 implies that any non-trivial axisymmetric solution (if it exists) to the homogeneous Navier–Stokes equations in a slab should grow at least linearly. Theorem 1.1 asserts that there is no bounded axisymmetric flows in the slab supplemented with a no-slip boundary condition when there is no external force. This coincides with the observations in fluid experiments (Sano, private communications 2024).
Remark 1.2 The proof of Theorem 1.1 also shows that if
${\boldsymbol {u}}$ is a non-trivial solution to the homogeneous Stokes equations in
$\mathbb {R}^2 \times (0, 1)$ with no-slip boundary conditions, then
$\mathcal {E}(R)$ must grow exponentially. This phenomenon is quite similar to that for the Laplace equation in a slab.
Next, we state our results on general 3-D flows in a slab with certain asymptotic constraints.
Theorem 1.2 Let
${\boldsymbol {u}}$ be a smooth solution to the Navier–Stokes system (1.1) in
$\varOmega =\mathbb {R}^2\times (0,1)$ with no-slip boundary conditions (1.2). Then there exists an absolute number
$\alpha \in (0,1)$ such that
${\boldsymbol {u}}\equiv 0$ if one of the following conditions holds:
(a)
(1.11)where
\begin{equation} \varliminf_{R\rightarrow + \infty} R^{-\alpha} \mathcal{E}(R) = 0, \end{equation}
$\mathcal {E}(R)$ is defined in (1.9);(b)
${\boldsymbol {u}}$ satisfies for some
$\beta \in [0, {\alpha }/{2}]$,
(1.12a,b)
\begin{equation} \lim_{r\to\infty} r^{-\beta }\sup_{\substack{{\theta\in [0,2{\rm \pi})}\\ {z\in [0,1]}}} |{\boldsymbol{u}} (r, \theta, z)| =0\quad\text{and}\quad \sup_{(r, \theta, z)\in \varOmega}r^{1+\beta -{\alpha}/{2}}| u^r(r, \theta, z)|<\infty. \end{equation}
Remark 1.3 A direct consequence of Theorem 1.2 is as follows. Let
${\boldsymbol {u}}$ be a smooth solution to the Navier–Stokes system (1.1) such that
Then
${\boldsymbol {u}} \equiv 0$. This is exactly Carrillo et al. (Reference Carrillo, Pan, Zhang and Zhao2020, Theorem 1.1), which asserts that a homogeneous
$D$ solution to the steady incompressible Navier–Stokes system in a slab with no-slip boundary conditions must be zero. Hence, Theorem 1.2 improves the results obtained in Carrillo et al. (Reference Carrillo, Pan, Zhang and Zhao2020, Theorem 1.1).
Remark 1.4 As long as there is a number
$\beta \in [0,{\alpha }/{2}]$ such that the conditions ( 1.12 a,b) are satisfied,
${\boldsymbol {u}}$ must be
$0$. In particular, we have
${\boldsymbol {u}}\equiv 0$ when both
${\boldsymbol {u}}$ and
$ru^r$ are uniformly bounded, where the conditions ( 1.12 a,b) are guaranteed by
$\beta ={\alpha }/{2}$.
Remark 1.5 The conditions in case (b) of Theorem 1.2 also include another special case that
$\lim _{r \to \infty } \sup _{\theta, z} |{\boldsymbol {u}}(r, \theta, z)| =0$ and
$r^{1-{\alpha }/{2}} u^r$ is uniformly bounded, where the conditions ( 1.12 a,b) are satisfied with
$\beta =0$.
Remark 1.6 It should be interesting to get the optimal exponent
$\alpha$ in (1.11). From the proof for Theorem 1.2, this optimal exponent should be related to the best constant for the Bogovskii map in Lemma 2.1.
Remark 1.7 If
${\boldsymbol {u}}$ is only bounded then the trivial solution
${\boldsymbol {u}}=0$ may not be the only solution for the Navier–Stokes system in a slab with no-slip boundary conditions. For example,
${\boldsymbol {u}}= (c_1x_3(1-x_3), c_2x_3(1-x_3), 0)$ is also a bounded solution of (1.1) in a slab with no-slip boundary conditions. These solutions are called Poiseuille flow in a layer. It is a conjecture whether the bounded solution to the Navier–Stokes system must be a Poiseuille flow. This conjecture closely relates to the resolution of the longstanding Leray problem on the steady Navier–Stokes system in an infinitely long channel. For more progress on this Leray problem, one can refer to Amick (Reference Amick1977), Chipot (Reference Chipot2022), Ladyzhenskaya & Solonnikov (Reference Ladyzhenskaya and Solonnikov1980), Wang & Xie (Reference Wang and Xie2022a), Wang & Xie (Reference Wang and Xie2022b) and references therein.
In fact, if
${\boldsymbol {u}}$ is not too big, we have the following Liouville-type theorem for general 3-D flows in a slab.
Theorem 1.3 Let
${\boldsymbol {u}}$ be a smooth solution to the Navier–Stokes system (1.1) in a slab
$\mathbb {R}^2\times (0,1)$ with no-slip boundary conditions (1.2). Then
${\boldsymbol {u}}$ must be a Poiseuille flow of form
$(c_1x_3(1-x_3), c_2x_3(1-x_3), 0)$ if
Remark 1.8 The assumption on the upper bound of
${\boldsymbol {u}}$ in Theorem 1.3 may not be optimal. The current bound comes from the estimate (4.59). It is still an open problem whether Poiseuille flow is the unique bounded solution when
$\|{\boldsymbol {u}}\|_{L^\infty (\varOmega )}$ is not small. When the domain is a strip in
$\mathbb {R}^2$, it relates to the resolution of the famous Leray problem for flows in infinitely long nozzles, which is still a longstanding open problem. One may refer to Ladyzhenskaya & Solonnikov (Reference Ladyzhenskaya and Solonnikov1980), Galdi (Reference Galdi2011), Wang & Xie (Reference Wang and Xie2022a) for more discussion about this problem.
Remark 1.9 More generally, if neither the viscosity coefficient
$\nu$ nor the width
$d$ of the slab is assumed to be
$1$, then our proof of Theorem 1.3 indicates that the solution
${\boldsymbol {u}}$ must be a Poiseuille flow as long as the Reynolds number
$Re:= {d \|{\boldsymbol {u}}\|_{L^\infty (\varOmega )}}/{\nu }$ satisfies
$Re < {\rm \pi}$. This rigidity also indicates that Poiseuille flows are stable as long as their Reynolds numbers are not big. Hence, Theorem 1.3 is consistent with the experimental observations for the stability of Poiseuille flows with low Reynolds numbers, while the transition from laminar flows to turbulence occurs when the Reynolds numbers are higher than some critical values; see Reynolds (Reference Reynolds1883), Kohyama, Sano & Tsukahara (Reference Kohyama, Sano and Tsukahara2022), Nagata & Deguchi (Reference Nagata and Deguchi2013), Sano & Tamai (Reference Sano and Tamai2016) and references therein.
Remark 1.10 The proof of Theorem 1.3 shows that
${\boldsymbol {u}}$ must be a Poiseuille flow, i.e.
${\boldsymbol {u}} = (c_1x_3(1-x_3), c_2x_3(1-x_3), 0)$, provided
${\boldsymbol {u}}$ is a bounded smooth solution to the homogeneous Stokes equations in
$\mathbb {R}^2 \times [0,1]$. Hence, the Liouville-type theorem for the Stokes system in a slab can be established even when the assumption (1.14) is removed.
Finally, we state our results on Liouville-type theorems for the steady Navier–Stokes system in a slab with periodic boundary conditions.
Theorem 1.4 Let
${\boldsymbol {u}}$ be a bounded smooth solution to the Navier–Stokes system (1.1) in
$\mathbb {R}^2\times \mathbb {T}$. Then
${\boldsymbol {u}}$ must be a constant vector provided that one of the following conditions holds:
(a)
$u^\theta$ is axisymmetric, i.e.
$u^\theta$ is independent of
$\theta$;(b)
$u^r$ is axisymmetric, i.e.
$u^r$ is independent of
$\theta$;(c)
$ru^r$ converges to
$0$, as
$r \rightarrow +\infty$ uniformly in
$\theta,z$.(d)
$\|{\boldsymbol {u}}\|_{L^\infty (\varOmega )} <2{\rm \pi}.$
Furthermore, in all cases ( a ), ( b ) and ( c ), the only non-zero component of the velocity field must be
$u^z$, i.e. the constant vector
${\boldsymbol {u}}$ must be of the form
$(0,0, c)$.
Remark 1.11 It is clear that axisymmetric solutions satisfy the condition in case (a) of Theorem 1.4. Therefore, any bounded axisymmetric solution periodic in the axial direction must be of the form
$(0, 0, c)$.
Here we illustrate the major methods of the paper. The key idea of this paper is to establish various differential inequalities for the Dirichlet integral of
${\boldsymbol {u}}$ over a finite part
$\varOmega _R$. The idea dates back to the proof of Saint-Venant's principle for solutions to equations of elasticity in Toupin (Reference Toupin1965), Knowles (Reference Knowles1966). This idea was also generalized to deal with linear elliptic equations in Oleinik & Yosifjan (Reference Oleinik and Yosifjan1977) where the growth of the Dirichlet integral for solutions was established. When adapting the same idea to Stokes or Navier–Stokes system in a pipe, the presence of a pressure term causes serious difficulties. Inspired by the work of Ladyzhenskaya & Solonnikov (Reference Ladyzhenskaya and Solonnikov1980), we develop a new form of the Bogovskii map in Lemma 2.1 to estimate the pressure term in a careful and efficient way, utilizing the structure of the Navier–Stokes equations. In particular, we make frequent use of the improved estimates in (2.10). We would like to mention that the stream function can be used to deal with axisymmetric flows; see Horgan & Wheeler (Reference Horgan and Wheeler1987). However, it does not seem to work well with general 3-D flows. We should also mention that the methods developed in this paper can also be used to study the Navier–Stokes system in different settings, for example, rigidity and stability of Taylor–Couette flows between two cylinders; see Kozono, Terasawa & Wakasugi (Reference Kozono, Terasawa and Wakasugi2024).
The organization for the rest of the paper is as follows. Some preliminary results on the Bogovskii map and differential inequalities are presented in § 2. The proof of the axisymmetric solution in a slab with no-slip boundary conditions is given in § 3. In § 4 we give the proof for the Liouville-type theorem for general 3-D solutions in a slab with no-slip boundary conditions. Finally, the Liouville-type theorem for the steady Navier–Stokes system in a periodic slab is established in § 5.
2. Preliminaries
In this section we give some preliminaries. First, we introduce the following notations. Define
For any
$R\geq 2$, denote
$D_R = (R-1, R)\times (0, 1)$,
$\mathcal {D}_R = (R-1, R) \times (0, 2{\rm \pi} ) \times (0, 1)$,
$\varOmega _R = B_R \times (0, 1)$ and
${O}_R = (B_R \setminus \overline {B_{R-1}}) \times (0, 1)$, where
$B_R= \{(x_1,x_2)\in \mathbb {R}^2: x_1^2+x_2^2 < R^2\}$. For any
${\boldsymbol {x}}\in \mathbb {R}^3$, define
$\mathcal {B}_r({\boldsymbol {x}})=\{{\boldsymbol {y}}\in \mathbb {R}^3: |{\boldsymbol {y}}-{\boldsymbol {x}}|< r\}$. In the rest of the paper,
$\varphi _R(r)$ denotes the Lipschitz cutoff function satisfying
\begin{equation} \varphi_R(r) = \left\{ \begin{array}{@{}ll@{}} 1, & r < R-1, \\ R-r, & R-1 \leq r \leq R, \\ 0, & r > R. \end{array} \right. \end{equation}Here we introduce the Bogovskii map, which gives a solution to the divergence equations. The general form is due to Bogovskii (Reference Bogovskii1979); see also Galdi (Reference Galdi2011, § III.3) and Tsai (Reference Tsai2018, § 2.8).
Lemma 2.1 Let
$\varOmega$ be a bounded Lipschitz domain in
$\mathbb {R}^n$ with
$n\geq 2$. For any
$q\in (1, \infty )$, there is a linear map
$\boldsymbol {\varPhi }$ that maps a scalar function
$f\in L^q_0(\varOmega )$ to a vector field
$\boldsymbol {V} = \boldsymbol {\varPhi } f \in W_0^{1, q}(\varOmega ; \mathbb {R}^n)$ satisfying
In particular, we have the following results.
(i) For any
$f \in L^2_0(D_R)$, the vector valued function
$\boldsymbol {V} = \boldsymbol {\varPhi } f \in H_0^1(D_R; \mathbb {R}^2)$ satisfies
(2.4a,b)where
\begin{equation} \partial_r V^r + \partial_z V^z =f \quad \text{in } D_R \quad \text{and} \quad \|\tilde{\boldsymbol{\nabla}} \boldsymbol{V}\|_{L^2(D_R)} \leq C \|\,f\|_{L^2(D_R)}, \end{equation}
$\tilde {\boldsymbol {\nabla }} = (\partial _r, \partial _z )$ and
$C$ is some constant independent of
$R$.(ii) For any
$f \in L^2(\mathcal {D}_R)$, the vector valued function
$\boldsymbol {V} = \boldsymbol {\varPhi } f \in H_0^1( \mathcal {D}_R; \mathbb {R}^3)$ satisfies
(2.5a,b)where
\begin{equation} \partial_r V^r + \partial_\theta V^\theta + \partial_z V^z =f \quad \text{in } \mathcal{D}_R \quad \text{and} \quad \|\bar{\boldsymbol{\nabla}} \boldsymbol{V}\|_{L^2(\mathcal{D}_R)} \leq C \|\,f\|_{L^2( \mathcal{D}_R)}, \end{equation}
$\bar {\boldsymbol {\nabla }} = (\partial _r, \partial _\theta, \partial _z )$ and
$C$ is some constant independent of
$R$.
The constants in the estimates of parts (i) and (ii) do not depend on
$R$; indeed, for
$\boldsymbol {\varPhi }$ given in
$D_R=D_2$, we can define
$\boldsymbol {\varPhi }_R$ in
$D_R$ for general
$R$ as follows. For
$f\in L^2_0 (D_R),$ it holds that
$(\tau _{-R+2}\circ f)(r,z):= f(r-R+2,z)\in L^2_0 (D_2)$ and
$V=\boldsymbol {\varPhi } (\tau _{-R+2}\circ f) \in H^1_0 (D_2; \mathbb {R}^2)$. Then
$(\tau _{R-2}\circ ) V(r,z)= V(r+R-2,z)\in H^1_0 (D_R; \mathbb {R}^2)$ and we can define
$\boldsymbol {\varPhi }_R f= \tau _{R-2}V$.
We apply the Bogovskii map
$\boldsymbol {\varPhi }$ in a non-standard way. In a domain
${O}_R$, one can solve the equation
and get the estimate
where the constant
$C$ is a constant depending on
$R$. In fact, the sharp estimate for the constant
$C(R)$ in (2.7) is not very clear (cf. Mardare Reference Mardare2020). In this paper we solve (2.6) as follows. Define a function
$g$ by
$g=rf(r,\theta,z)$ in
$\mathcal {D}_R$ and a vector field
$\boldsymbol {W}=(W^r, W^\theta, W^z)$ by
Then using cylindrical coordinates, one can see that (2.6) is equivalent to the equation
Note (2.6) holds in
${O}_R$ whereas (2.9) holds in
$\mathcal {D}_R$. Applying the Bogovskii map to solve (2.9) now yields an estimate of the gradient
$(\partial _r, \partial _\theta, \partial _z )\boldsymbol {W}$ in terms of
$g$, which, in turn, gives the estimates
\begin{equation}
\left.\begin{array}{@{}c@{}} \displaystyle \left\|
\dfrac{1}{r} \partial_\theta V^z \right\|_{L^2({O}_R)} +
\left\|\dfrac{1}{r}\partial_\theta V^r
\right\|_{L^2({O}_R)} \leq CR^{{-}1}\|\, f
\|_{L^2({O}_R)},\\ \displaystyle
\|(\partial_r, \partial_z)V^r\|_{L^2({O}_R)} +\|
(\partial_r, \partial_z)V^z \|_{L^2({O}_R)}+ \left\|
\dfrac{1}{r} \partial_\theta V^\theta \right\|_{L^2({O}_R)}
\leq C\|\,f\|_{L^2({O}_R)},\\
\displaystyle \|(\partial_r, \partial_z) V^\theta
\|_{L^2({O}_R)} \leq CR\|\,f \|_{L^2({O}_R)},
\end{array}\right\} \end{equation}
where the constant
$C$ is independent of
$R$. One can compare estimates (2.10) to (2.7). In (2.10), we know how the right-hand sides of the inequalities depend on
$R$ whereas it is not the case for (2.7). We use the Bogovskii map
$\boldsymbol {\varPhi }$ in this way rather than the standard way.
The second lemma is used to characterize the growth of functions that satisfy various differential inequalities.
Lemma 2.2 Let
$\phi (t)$ be a non-decreasing non-negative function and
$t_0>1$ be a fixed constant. Suppose that
$\phi (t)$ is not identically zero.
(a) If
$\phi (t)$ satisfies
(2.11)then
\begin{equation} \phi(t) \leq C_1 \phi^{\prime}(t) + C_2 [ \phi^{\prime}(t) ]^{3/2} \quad \text{for any } t\geq t_0, \end{equation}(2.12)
\begin{equation} \varliminf_{t \rightarrow + \infty} t^{{-}3} \phi(t) > 0. \end{equation}(b) If
$\phi (t)$ satisfies
(2.13)then
\begin{equation} \phi(t) \leq C_3 \phi^{\prime}(t) + C_4 t^{{-}1/2} [ \phi^{\prime}(t) ]^{3/2} \quad \text{for any } t\geq t_0, \end{equation}(2.14)
\begin{equation} \varliminf_{t \rightarrow + \infty} t^{{-}4} \phi(t) > 0. \end{equation}(c) If
$\phi (t_0)>0$ and there exist constants
$C_1>1$ and
$C_2>0$ such that
$\phi (t)$ satisfies
(2.15)then for any fixed
\begin{equation} \phi(t) \leq C_1 t \phi^{\prime}(t) + C_2 t [ \phi^{\prime}(t) ]^{3/2} \quad \text{for any } t\geq t_0, \end{equation}
$0<\alpha <{1}/{C_1}$, one has
(2.16)where
\begin{equation} \phi(t) \geq Ct^{\alpha}\quad \text{for any } t\geq t_0, \end{equation}(2.17)
\begin{equation} C=\min\left\{\frac{\phi(t_0)}{2}t_0^{-\alpha},\frac{1}{4\alpha}\left(\frac{1}{\alpha C_1}-1\right)^2 \frac{C_1^2}{C_2^2}\right\}. \end{equation}
The proof for case (a) of Lemma 2.2 can be found in Ladyzhenskaya & Solonnikov (Reference Ladyzhenskaya and Solonnikov1980). For the readers’ convenience, we give a short proof.
Proof. We prove the lemma case by case.
Step 1. Proof for case (a). Assume that
$\phi (t_1) > 0$ for some
$t_1 \geq t_0$. According to (2.11), it holds that
Hence, there exists a positive constant
$\alpha _1$ such that
Taking (2.19) into (2.11) yields
which implies (2.12) and finishes the proof for case (a).
Step 2. Proof for case (b). If
$\phi (t)$ satisfies (2.13), as proved above,
$\phi (t)$ grows at least in cubic order. Hence, there exist a
$t_2> t_0$ and a constant
$\alpha _2$, such that
Hence, for
$t\geq t_2$, either
$C_3\phi '(t)\geq ({\alpha _2}/{2})t^3$ or
$C_4t^{-{1}/{2}}(\phi '(t))^{{3}/{2}}\geq ({\alpha _2}/{2})t^3$. Therefore, there exists a positive constant
$\alpha _3>0$ such that
Hence, one has
which implies (2.14) and completes the proof for case (b).
Step 3. Proof for case (c). Note that
$Ct_0^{\alpha }\leq \frac {1}{2}\phi (t_0)$. Hence, there exists a
$\delta >0$ such that
Define
Clearly,
$\bar {t}\geq t_0+\delta >1$. Suppose that
$\bar {t}<\infty$. Then one has
$\phi (\bar {t})=C\bar {t}^\alpha$.
If
$\phi '(\bar {t})>\frac {1}{4}({1}/{\alpha C_1}-1)^2({C_1}/{C_2})^2$, then there exists a
$\tilde {\delta }>0$ such that
Hence, for any
$t\in (\bar {t}, \bar {t}+\tilde {\delta })$, one has
\begin{align} \phi(t)&= \phi(\bar{t})+\int_{\bar{t}}^t \phi'(s)\, {\rm d} s> \phi (\bar{t})+\int_{\bar{t}}^t\frac{1}{4} \left(\frac{1}{\alpha C_1}-1\right)^2 \left(\frac{C_1}{C_2}\right)^2 \, {\rm d} s \geq \phi(\bar{t})+\int_{\bar{t}}^t \alpha C \, {\rm d} s\nonumber\\ &= C\bar{t}^\alpha +\int_{\bar{t}}^t C \alpha \, {\rm d} s\geq C\bar{t}^\alpha+\int_{\bar{t}}^t C \alpha s^{\alpha-1} \, {\rm d} s =Ct^\alpha. \end{align}
This contradicts with the definition of
$\bar {t}$.
If
$\phi '(\bar {t})\leq \frac {1}{4}({1}/{\alpha C_1}-1)^2({C_1}/{C_2})^2$, then there exists a
$\hat {\delta }>0$ such that
Thus, for any
$t\in (\bar {t}, \bar {t}+\hat {\delta })$, one has
This implies that
Hence, for any
$t\in (\bar {t}, \bar {t}+\hat {\delta })$, it holds that
This also leads to a contradiction with the definition of
$\bar {t}$. Therefore,
$\bar {t}=+\infty$ and the proof for case (c) is completed.
The following lemma shows that the bounded solutions of the Navier–Stokes system in a slab with no-slip boundary conditions or periodic boundary conditions have a bounded gradient.
Lemma 2.3 Let
${\boldsymbol {u}}$ be a bounded smooth solution to the Navier–Stokes system (1.1) in
$\mathbb {R}^2\times (0,1)$ supplemented with no-slip boundary conditions or in
$\mathbb {R}^2\times \mathbb {T}$. Then
$\boldsymbol {\nabla } {\boldsymbol {u}}$,
$\nabla ^2 {\boldsymbol {u}}$ and
$\boldsymbol {\nabla } P$ are also uniformly bounded.
Proof. The proof is divided into two steps.
Step 1. Interior regularity. According to Galdi (Reference Galdi2011, Theorems IV.4.1, IV.4.4, and Remark IV.4.2), it holds that for any
${\boldsymbol {x}}\in \mathbb {R}^2\times [\frac {1}{8}, \frac {7}{8}]$,
Moreover, one has
Step 2. Boundary regularity. According to Galdi (Reference Galdi2011, Theorems IV.5.1 and IV.5.3, and Remark IV.5.2), it holds that
Moreover, one has
Combining (2.32)–(2.36) with the Sobolev embedding inequality gives the uniform bound of
$\boldsymbol {\nabla } {\boldsymbol {u}}$,
$\nabla ^2 {\boldsymbol {u}}$, and hence, the uniform bound of
$\boldsymbol {\nabla } P$. The proof for Lemma 2.3 is completed.
3. Axisymmetric solutions with no-slip boundary conditions
In this section we deal with the axisymmetric solutions of the Navier–Stokes system in a slab with no-slip boundary conditions. The benefit of the no-slip boundary conditions is that the Poincaré inequality
holds, where
$C$ is a universal constant. We make use of this fact frequently. Furthermore, the axisymmetry of
${\boldsymbol {u}}$ also plays an important role, since it leads to improved estimates for the pressure term as indicated in (2.10).
Proof Proof of Theorem 1.1
The proof is divided into three steps.
Step 1. Set up. Assume that
${\boldsymbol {u}}$ is a smooth solution to (1.1) in
$\varOmega =\mathbb {R}^2\times (0,1)$ with no-slip boundary conditions. Multiplying the first equation in (1.1) by
$\varphi _R(r) {\boldsymbol {u}}$ and integrating by parts one obtains
Note that
Clearly, the last equation in (1.6) for axisymmetric solutions can be reduced to
Hence, for every fixed
$r \geq 0$, one has
Thus, it holds that
By virtue of Lemma 2.1, there exists a vector valued function
${\boldsymbol {\varPsi }}_R(r, z) \in H_0^1(D_R; \mathbb {R}^2)$ satisfying
and
Therefore, combining (3.3) and (3.7) one derives
Since
${\boldsymbol {u}}$ is an axisymmetric solution of (1.6), the gradient
$(\partial _r P, \partial _z P)$ of the pressure satisfies
\begin{equation} \left. \begin{array}{@{}c@{}} \displaystyle (u^r \partial_r + u^z \partial_z ) u^r - \dfrac{(u^\theta)^2}{ r} + \partial_r P = \left( \partial_r^2 + \dfrac1r \partial_r + \partial_z^2 - \dfrac{1}{r^2} \right) u^r,\\ \displaystyle (u^r \partial_r + u^z \partial_z ) u^z + \partial_z P = \left( \partial_r^2 + \dfrac1r \partial_r + \partial_z^2 \right) u^z. \end{array} \right\} \end{equation}Using (3.10) and integration by parts one obtains
\begin{align} & \int_0^1 \int_{R-1}^R \partial_r P \varPsi_R^r \, {\rm d} r\, {\rm d} z\nonumber\\ &\quad =\int_0^1 \int_{R-1}^R \left( \partial_r^2 + \frac1r \partial_r + \partial_z^2 - \frac{1}{r^2} \right) u^r \varPsi_R^r \, {\rm d} r\, {\rm d} z \nonumber\\ &\qquad - \int_0^1 \int_{R-1}^R \left[ (u^r \partial_r + u^z \partial_z )u^r - \frac{(u^\theta)^2}{r} \right]\varPsi_R^r \, {\rm d} r\, {\rm d} z \nonumber\\ &\quad ={-} \int_0^1 \int_{R-1}^R ( \partial_r u^r \partial_r \varPsi^r_R + \partial_z u^r \partial_z \varPsi_R^r ) \, {\rm d} r\, {\rm d} z + \int_0^1 \int_{R-1}^R \left( \frac1r \partial_r - \frac{1}{r^2} \right) u^r \varPsi_R^r \, {\rm d} r\, {\rm d} z \nonumber\\ &\qquad -\int_0^1 \int_{R-1}^R \left[ (u^r \partial_r + u^z \partial_z )u^r - \frac{(u^\theta)^2}{r} \right]\varPsi_R^r \, {\rm d} r\, {\rm d} z \end{align}and
\begin{align} & \int_0^1 \int_{R-1}^R \partial_z P \varPsi_R^z \, {\rm d} r\, {\rm d} z \nonumber\\ & \quad ={-} \int_0^1 \int_{R-1}^R ( \partial_r u^z \partial_r \varPsi^z_R + \partial_z u^z \partial_z \varPsi_R^z ) \, {\rm d} r\, {\rm d} z + \int_0^1 \int_{R-1}^R \frac1r \partial_r u^r \varPsi_R^r \, {\rm d} r\, {\rm d} z \nonumber\\ &\qquad -\int_0^1 \int_{R-1}^R (u^r \partial_r + u^z \partial_z )u^z \varPsi_R^z \, {\rm d} r\, {\rm d} z. \end{align}Step 2. Proof for case (a) of Theorem 1.1. Now we start to estimate the first two terms on the right-hand side of (3.2) and the terms on the right-hand sides of (3.11) and (3.12). By the Poincaré inequality (3.1) and the Sobolev embedding inequality, one derives
and
\begin{align} \left| \int_{\varOmega} \frac12 |{\boldsymbol{u}}|^2 {\boldsymbol{u}} \boldsymbol{\cdot} \boldsymbol{\nabla} \varphi_R \right| \leq C R \int_0^1 \int_{R-1}^R |{\boldsymbol{u}}|^3 \, {\rm d} r \, {\rm d} z &\leq C R \| (\partial_r, \partial_z ){\boldsymbol{u}} \|_{L^2(D_R)}^3 \nonumber\\ &\leq C R^{{-}1/2} \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R) }^3. \end{align}By (3.8) and the Poincaré inequality, one has
\begin{align} \left| \int_0^1 \int_{R-1}^R ( \partial_r u^r \partial_r \varPsi^r_R + \partial_z u^r \partial_z \varPsi_R^r ) \, {\rm d} r\, {\rm d} z \right| &\leq C R^{{-}1/2} \| \boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R) } \| \tilde{\boldsymbol{\nabla}}{\boldsymbol{\varPsi}}_R\|_{L^2(D_R)} \nonumber\\ &\leq C \| \boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R) }^2 \end{align}and
\begin{align} \left| \int_0^1 \int_{R-1}^R \left( \frac1r \partial_r - \frac{1}{r^2} \right) u^r \varPsi_R^r \, {\rm d} r\, {\rm d} z \right| &\leq C R^{{-}1} \| \tilde{\boldsymbol{\nabla}} {\boldsymbol{u}}\|_{L^2(D_R)} \|{\boldsymbol{\varPsi}}_R\|_{L^2(D_R)} \nonumber\\ &\leq CR^{{-}1} \| \boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R) }^2. \end{align}Furthermore, it holds that
\begin{align} & \left| \int_0^1 \int_{R-1}^R \left[ (u^r \partial_r + u^z \partial_z )u^r - \frac{(u^\theta)^2}{r} \right]\varPsi_R^r \, {\rm d} r\, {\rm d} z \right| \nonumber\\ &\quad \leq C \| (u^r, u^z, u^\theta ) \|_{L^4(D_R)} ( \| \tilde{\boldsymbol{\nabla}} u^r \|_{L^2(D_R)} + R^{{-}1} \|u^\theta \|_{L^2(D_R)} ) \|{\boldsymbol{\varPsi}}_R \|_{L^4(D_R)}\nonumber\\ &\quad \leq C \| (u^r, u^\theta, u^z ) \|_{L^2(D_R)}^{1/2} \| (u^r, u^\theta, u^z) \|_{H^1(D_R)}^{1/2} \cdot R^{{-}1/2} \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R ) } \cdot \|\tilde{\boldsymbol{\nabla}} {\boldsymbol{\varPsi}}_R\|_{L^2(D_R)} \nonumber\\ &\quad \leq C \| \tilde{\boldsymbol{\nabla}} (u^r, u^\theta, u^z ) \|_{L^2(D_R)} \cdot R^{{-}1/2} \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R ) } \cdot R^{1/2} \|u^r \|_{L^2({O}_R)}\nonumber\\ &\quad \leq CR^{{-}1/2} \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R ) } ^3. \end{align}Combining the estimates (3.15)–(3.17) one arrives at
\begin{equation} \left| \int_0^1 \int_{R-1}^R \partial_r P \varPsi_R^r \, {\rm d} r\, {\rm d} z \right| \leq C \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R ) } ^2 + C R^{{-}1/2} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R ) } ^3. \end{equation}Similarly, one has
\begin{equation} \left| \int_0^1 \int_{R-1}^R \partial_z P \varPsi_R^z \, {\rm d} r\, {\rm d} z \right| \leq C \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R ) } ^2 + C R^{{-}1/2} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R ) } ^3. \end{equation}Now it can be shown that
Let
Note that for any 3-D smooth function
${\boldsymbol {u}}$, straightforward computations give
\begin{equation} {Y}(R) = \int_0^1 \int_0^{2{\rm \pi}} \left( \int_0^{R-1} |\boldsymbol{\nabla} {\boldsymbol{u}}|^2 r \, {\rm d} r + \int_{R-1}^R |\boldsymbol{\nabla} {\boldsymbol{u}}|^2 (R-r) r \, {\rm d} r \right)\, {\rm d} \theta \, {\rm d} z \end{equation}and
where the explicit form of
$\varphi _R$ in (2.2) has been used. For the axisymmetric solutions,
$Y(R)$ in (3.22) can be reduced to
\begin{equation} {Y}(R) = 2{\rm \pi} \int_0^1 \left( \int_0^{R-1} |\boldsymbol{\nabla} {\boldsymbol{u}}|^2 r \, {\rm d} r + \int_{R-1}^R |\boldsymbol{\nabla} {\boldsymbol{u}}|^2 (R-r) r \, {\rm d} r \right) \, {\rm d} z. \end{equation}Hence, the estimate (3.20) can be written as
Then case (a) of Theorem 1.1 follows from Lemma 2.2.
Step 3. Proof for case (b) of Theorem 1.1. We start from (3.2) and need to estimate the first two terms on the right-hand side of (3.2) and the terms on the right-hand sides of (3.11) and (3.12) in a different way. Using the Poincaré inequality yields
and
\begin{align} \left| \int_{\varOmega} \frac12 |{\boldsymbol{u}}|^2{\boldsymbol{u}} \boldsymbol{\cdot} \boldsymbol{\nabla} \varphi_R \right| & \leq C R \| {\boldsymbol{u}} \|_{L^\infty({O}_R)}^2 \int_0^1 \int_{R-1}^R |(u^r, u^\theta, u^z) | \, {\rm d} r \, {\rm d} z \nonumber\\ & \leq C R \| {\boldsymbol{u}} \|_{L^\infty({O}_R)}^2\left( \int_0^1 \int_{R-1}^R | (u^r, u^\theta, u^z) |^2 \, {\rm d} r \, {\rm d} z \right)^{1/2} \nonumber\\ &\leq C R \| {\boldsymbol{u}} \|_{L^\infty({O}_R)}^2 \| \partial_z {\boldsymbol{u}} \|_{L^2(D_R)} \leq C R^{1/2} \| {\boldsymbol{u}} \|_{L^\infty({O}_R)}^2 \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)}. \end{align}According to (3.8), instead of (3.15) and (3.16), one has
\begin{align} & \left| \int_0^1 \int_{R-1}^R ( \partial_r u^r \partial_r \varPsi^r_R + \partial_z u^r \partial_z \varPsi_R^r ) \, {\rm d} r\, {\rm d} z \right| \leq C \| (\partial_r, \partial_z) u^r \|_{L^2(D_R)} \| (\partial_r, \partial_z) \varPsi_R^r \|_{L^2(D_R)} \nonumber\\ &\quad \leq C R^{{-}1/2} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R) } \cdot R^{1/2} \| u^r \|_{L^2({O}_R)} \leq C R^{1/2} \| {\boldsymbol{u}} \|_{L^\infty({O}_R ) } \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)} \end{align}and
\begin{align} & \left| \int_0^1 \int_{R-1}^R \left( \frac1r \partial_r - \frac{1}{r^2} \right) u^r \varPsi_R^r \, {\rm d} r\, {\rm d} z \right| \nonumber\\ &\quad \leq C R^{{-}1} \| \partial_r u^r \|_{L^2(D_R) }\| \varPsi_R^r \|_{L^2(D_R) } + C R^{{-}2} \| u^r\|_{L^2(D_R)} \| \varPsi_R^r \|_{L^2(D_R) } \nonumber\\ &\quad \leq C R^{{-}3/2} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R ) } \cdot R^{1/2} \|u^r \|_{L^2({O}_R)} + CR^{{-}5/2} \| \partial_z u^r \|_{L^2({O}_R)} \cdot R^{1/2} \|u^r \|_{L^2({O}_R)}\nonumber\\ &\quad \leq C R^{{-}1/2}\| {\boldsymbol{u}} \|_{L^\infty({O}_R ) } \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)} . \end{align}Similarly, it holds that
\begin{align} & \left| \int_0^1 \int_{R-1}^R \left[ (u^r \partial_r + u^z \partial_z )u^r - \frac{(u^\theta)^2}{r} \right]\varPsi_R^r \, {\rm d} r\, {\rm d} z \right| \nonumber\\ &\quad \leq C \| {\boldsymbol{u}} \|_{L^\infty({O}_R ) } \| \tilde{\boldsymbol{\nabla}} u^r \|_{L^2(D_R)} \| \varPsi_R^r \|_{L^2(D_R)} + CR^{{-}1} \| {\boldsymbol{u}} \|_{L^\infty({O}_R ) } \|u^\theta \|_{L^2(D_R)} \| \varPsi_R^r \|_{L^2(D_R)} \nonumber\\ &\quad \leq C R^{1/2}\| {\boldsymbol{u}} \|_{L^\infty({O}_R ) }^2 \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R ) }. \end{align}Combining (3.28)–(3.30) one arrives at
\begin{equation} \left| \int_0^1 \int_{R-1}^R \partial_r P \varPsi_R^r \, {\rm d} r\, {\rm d} z \right| \leq C R^{1/2}( \| {\boldsymbol{u}} \|_{L^\infty({O}_R ) } + \| {\boldsymbol{u}} \|_{L^\infty({O}_R ) }^2 ) \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R ) }. \end{equation}The similar computations show that
\begin{equation} \left| \int_0^1 \int_{R-1}^R \partial_z P \varPsi_R^z \, {\rm d} r\, {\rm d} z \right| \leq C R^{1/2}( \| {\boldsymbol{u}} \|_{L^\infty({O}_R ) } + \| {\boldsymbol{u}} \|_{L^\infty({O}_R ) }^2 ) \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R ) }. \end{equation}Therefore, one has
where
$Y(R)$ is defined in (3.21).
Suppose
${\boldsymbol {u}}$ is not identically equal to zero and
${\boldsymbol {u}}$ satisfies (1.10). For any small
$\epsilon >0$, there exists a
$R_0(\epsilon ) >2$ such that
Hence, the inequality (3.33) implies that
If
${\boldsymbol {u}}$ is not equal to zero, according to case (a) of Theorem 1.1,
$Y(R)$ must be unbounded as
$R\rightarrow + \infty$. For every
$R$ sufficiently large, integrating (3.35) over
$[R, + \infty )$ one arrives at
Since
$\epsilon$ can be arbitrarily small, this implies (1.8) and leads to a contradiction with the assumption that
${\boldsymbol {u}}$ is not identically zero. Hence, the proof of Theorem 1.1 is completed.
4. General 3-D solutions in a slab with no-slip boundary conditions
This section is devoted to the study for general solutions of the Navier–Stokes system (1.1) in a slab with no-slip boundary conditions. Since
$\partial _\theta P$ does not have the same scaling as
$\partial _r P$ and
$\partial _z P$, this makes
$\partial _\theta P$ a troublesome term for the estimate, whereas it does not appear in the axisymmetric setting.
Proof Proof of Theorem 1.2
The proof contains three steps.
Step 1. Set up. Assume that
${\boldsymbol {u}}$ is a smooth solution to the Navier–Stokes system (1.1). The equality (3.2) still holds. Instead of (3.3), one has
It follows from the last equation in (1.6) (divergence free equation) that for every fixed
$r\geq 0$, one has
Then it holds that
By virtue of Lemma 2.1, there exists a vector valued function
${\boldsymbol {\varPsi }}_R(r, \theta, z)\in H_0^1(\mathcal {D}_R; \mathbb {R}^3)$ satisfying
and
Combining (4.1) and (4.4) one obtains
\begin{align} \int_{\varOmega} P {\boldsymbol{u}} \boldsymbol{\cdot} \boldsymbol{\nabla} \varphi_R & = \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R P ( \partial_r \varPsi_R^r + \partial_\theta \varPsi_R^\theta + \partial_z \varPsi_R^z ) \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \nonumber\\ & ={-} \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R (\partial_r P \varPsi_R^r + \partial_\theta P \varPsi_R^\theta + \partial_z P \varPsi_R^z ) \, {\rm d} r \, {\rm d} \theta \, {\rm d} z. \end{align}Furthermore, it follows from the momentum equations in (1.6) that one has
\begin{align} &\int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \partial_r P \varPsi_R^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \nonumber\\ &\quad ={-} \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \left[\partial_r u^r \partial_r \varPsi_R^r + \partial_z u^r \partial_z \varPsi_R^r + \frac{1}{r^2} (\partial_\theta u^r - 2 u^\theta) \partial_\theta \varPsi_R^r \right] {\rm d} r\, {\rm d} \theta \, {\rm d} z \nonumber\\ &\qquad + \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \left[\left( \frac{1}{r} \partial_r - \frac{1}{r^2} \right) u^r + \frac{(u^\theta)^2}{r}\right]\varPsi_R^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \nonumber\\ & \qquad - \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \left(u^r \partial_r + \frac{u^\theta}{r} \partial_\theta + u^z \partial_z \right) u^r \varPsi_R^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z , \end{align}
\begin{align} &\int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \partial_\theta P \varPsi_R^\theta \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \nonumber\\ &\quad ={-} \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R [ r(\partial_r u^\theta \partial_r \varPsi_R^\theta + \partial_z u^\theta \partial_z \varPsi_R^\theta) + r^{{-}1} ( \partial_\theta u^\theta + 2 u^r )\partial_\theta \varPsi_R^\theta ] \, {\rm d} r\, {\rm d} \theta \, {\rm d} z \nonumber\\ &\qquad + \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \left[- \frac{1}{r} u^\theta - u^\theta u^r \right]\varPsi_R^\theta \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \nonumber\\ &\qquad - \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R r \left(u^r \partial_r + \frac{1}{r} u^\theta \partial_\theta + u^z \partial_z \right) u^\theta \varPsi_R^\theta \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \end{align}and
\begin{align} &\int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \partial_z P \varPsi_R^z \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \nonumber\\ &\quad ={-} \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \left(\partial_r u^z \partial_r \varPsi_R^z + \partial_z u^z \partial_z \varPsi_R^z + \frac{1}{r^2} \partial_\theta u^z \partial_\theta \varPsi_R^z \right) \, {\rm d} r\, {\rm d} \theta \, {\rm d} z \nonumber\\ &\qquad - \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \left(u^r \partial_r + \frac{u^\theta}{r} \partial_\theta + u^z \partial_z -\frac{1}{r}\partial_r \right) u^z \varPsi_R^z \, {\rm d} r \, {\rm d} \theta \, {\rm d} z . \end{align}Step 2. Proof for case (a) of Theorem 1.2. Now we estimate the first two terms on the right-hand side of (3.2) and the terms on the right-hand sides of (4.7)–(4.9). First, the Poincaré inequality leads to
Note that
$\bar {\boldsymbol {\nabla }} (u^r, u^\theta, u^z) = (\partial _r, \partial _\theta, \partial _z)(u^r, u^\theta, u^z)$. Here
whereas
and consequently,
Hence, the Poincaré inequality and Sobolev embedding inequality give that
\begin{align} \left| \int_{\varOmega} \frac12 |{\boldsymbol{u}}|^2 {\boldsymbol{u}} \boldsymbol{\cdot} \boldsymbol{\nabla} \varphi_R \right| &\leq C R \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R |{\boldsymbol{u}}|^3 \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \nonumber\\ & \leq C R \| (u^r, u^\theta, u^z) \|_{L^2(\mathcal{D}_R ) }^{3/2} \| \bar{\boldsymbol{\nabla}} ( u^r, u^\theta, u^z ) \|_{L^2(\mathcal{D}_R )}^{3/2} \nonumber\\ & \leq C R\cdot R^{{-}3/4} \|{\boldsymbol{u}}\|_{L^2({O}_R )}^{3/2}\cdot (R^{1/2} \| \boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R)} + R^{{-}1/2} \|{\boldsymbol{u}}\|_{L^2({O}_R ) })^{3/2} \nonumber\\ & \leq C R \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R )}^3. \end{align}Using (4.5) one obtains
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R (\partial_r u^r \partial_r \varPsi_R^r + \partial_z u^r \partial_z \varPsi_R^r ) \, {\rm d} r\, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ &\quad \leq C \| ( \partial_r, \partial_z ) u^r \|_{L^2(\mathcal{D}_R)} \| ( \partial_r, \partial_z ) \varPsi_R^r\|_{L^2(\mathcal{D}_R)} \nonumber\\ &\quad \leq C R^{{-}1/2} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)} \cdot R^{1/2} \| u^r \|_{L^2({O}_R)} \nonumber\\ &\quad \leq C \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)}^2, \end{align}
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \frac{1}{r^2} ( \partial_\theta u^r - 2 u^\theta ) \partial_\theta \varPsi_R^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z\right| \nonumber\\ & \quad \leq C ( R^{{-}1} \| r^{{-}1} ( \partial_\theta u^r - u^\theta) \|_{L^2(\mathcal{D}_R)} + R^{{-}2} \| u^\theta\|_{L^2(\mathcal{D}_R )} ) \| \partial_\theta \varPsi_R^r \|_{L^2(\mathcal{D}_R)} \nonumber\\ & \quad \leq C ( R^{{-}3/2} + R^{{-}5/2}) \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R ) } \cdot R^{1/2} \|u^r \|_{L^2({O}_R )} \nonumber\\ & \quad \leq C R^{{-}1} \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R )}^2 \end{align}and
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \left[ \left( \frac{1}{r} \partial_r - \frac{1}{r^2} \right)u^r \right] \varPsi_R^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ &\quad \leq C ( R^{{-}1} \| \partial_r u^r \|_{L^2(\mathcal{D}_R)} + R^{{-}2} \| u^r \|_{L^2(\mathcal{D}_R)} ) \| \varPsi_R^r \|_{L^2(\mathcal{D}_R)} \nonumber\\ &\quad \leq C ( R^{{-}3/2} + R^{{-}5/2} ) \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R)} \cdot \| \partial_z \varPsi_R^r \|_{L^2(\mathcal{D}_R)} \nonumber\\ &\quad \leq C ( R^{{-}3/2} + R^{{-}5/2} ) \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R)} \cdot R^{1/2} \|u^r \|_{L^2({O}_R)} \nonumber\\ &\quad \leq C R^{{-}1} \| \boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R ) }^2. \end{align}By Hölder inequality it can be shown that
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R (u^r \partial_r + u^z \partial_z ) u^r \varPsi_R^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ &\quad \leq C \| (u^r, u^z) \|_{L^3(\mathcal{D}_R) } \| (\partial_r, \partial_z )u^r \|_{L^2(\mathcal{D}_R)} \| \varPsi_R^r \|_{L^6(\mathcal{D}_R)}. \end{align}It follows from the Gagliardo–Nirenberg inequality, the Poincaré inequality and (4.11) and (4.13) that
\begin{align} & \| (u^r, u^\theta, u^z ) \|_{L^3(\mathcal{D}_R )} \nonumber\\ &\quad \leq C \| (u^r, u^\theta, u^z ) \|_{L^2(\mathcal{D}_R)}^{1/2} \| (u^r, u^\theta, u^z ) \|_{H^1(\mathcal{D}_R)}^{1/2} \nonumber\\ &\quad \leq C \| \partial_z (u^r, u^\theta, u^z ) \|_{L^2(\mathcal{D}_R)}^{1/2} ( \| (u^r, u^\theta, u^z) \|_{L^2(\mathcal{D}_R)} + \| \bar{\boldsymbol{\nabla}} (u^r, u^\theta, u^z ) \|_{L^2(\mathcal{D}_R)} )^{1/2}\nonumber\\ &\quad \leq C R^{{-}1/4} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)}^{1/2} ( R^{{-}1/2} \| {\boldsymbol{u}} \|_{L^2({O}_R)} + R^{1/2} \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R)} )^{1/2} \nonumber\\ &\quad \leq C R^{{-}1/4} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)}^{1/2} \cdot R^{\frac14} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)}^{1/2} \nonumber\\ & \quad \leq C \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R)} \end{align}and
Putting (4.19) and (4.20) into (4.18) one derives
\begin{equation} \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R (u^r \partial_r \ + u^z \partial_z ) u^r \varPsi_R^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \leq C \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R )}^3. \end{equation}Similarly, it follows from (4.19) and (4.20) that
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \left( \frac{(u^\theta)^2}{r} - \frac{u^\theta}{r} \partial_\theta u^r \right) \varPsi_R^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ & \quad \leq C \|u^\theta \|_{L^3(\mathcal{D}_R)} \left\| r^{{-}1} (\partial_\theta u^r - u^\theta ) \right\|_{L^2(\mathcal{D}_R)} \| \varPsi_R^r \|_{L^6 (\mathcal{D}_R )}\nonumber\\ &\quad \leq C \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)} \cdot R^{{-}1/2} \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R)} \cdot R^{1/2} \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)}\nonumber\\ &\quad \leq C \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)}^3. \end{align}Combining the estimates (4.15)–(4.22) one obtains
\begin{equation} \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \partial_r P \varPsi_R^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \leq C \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R )}^2 + C \| \boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R)}^3. \end{equation}By making use of the estimates (4.5), (4.11) and (4.13) it can be shown that
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R [ r(\partial_r u^\theta \partial_r \varPsi_R^\theta + \partial_z u^\theta \partial_z \varPsi_R^\theta) ] \, {\rm d} r\, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ &\quad \leq C R \| (\partial_r u^\theta, \partial_z u^\theta )\|_{L^2(\mathcal{D}_R)} \| (\partial_r, \partial_z)\varPsi_R^\theta \|_{L^2(\mathcal{D}_R)} \nonumber\\ &\quad \leq C R^{1/2} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)}\cdot R^{1/2} \| u^r \|_{L^2({O}_R) } \nonumber\\ &\quad \leq C R \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)}^2, \end{align}
\begin{align} & \left|\int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R r^{{-}1}(\partial_\theta u^\theta + 2 u^r ) \partial_\theta \varPsi_R^\theta \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ &\quad = \left|\int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R r^{{-}1}(\partial_\theta u^\theta + u^r + u^r) \partial_\theta \varPsi_R^\theta \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ & \quad \leq C \left( \|r^{{-}1} (\partial_\theta u^\theta + u^r ) \|_{L^2(\mathcal{D}_R)} + R^{{-}1} \|u^r\|_{L^2(\mathcal{D}_R) }\right)\| \partial_\theta \varPsi_R^\theta \|_{L^2(\mathcal{D}_R ) }\nonumber\\ & \quad \leq C \left( R^{{-}1/2} \| \boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R )} + R^{{-}3/2} \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R )} \right) \cdot R^{1/2} \|u^r\|_{L^2({O}_R)} \nonumber\\ & \quad \leq C \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R )}^2 \end{align}and
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \frac{1}{r} u^\theta \varPsi_R^\theta \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \leq C R^{{-}1} \| u^\theta \|_{L^2(\mathcal{D}_R)} \| \varPsi_R^\theta \|_{L^2(\mathcal{D}_R)}\nonumber\\ &\quad \leq C R^{{-}3/2} \|u^\theta \|_{L^2 ({O}_R)} \cdot R^{1/2} \| u^r \|_{L^2({O}_R) } \leq C R^{{-}1} \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R )}^2 . \end{align}Furthermore, one has
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R ( u^r u^{\theta} + \partial_\theta u^\theta u^\theta ) \varPsi_R^{\theta} \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ & \quad \leq C R \| r^{{-}1} (u^r + \partial_\theta u^\theta) \|_{L^2(\mathcal{D}_R)} \|u^\theta \|_{L^3 (\mathcal{D}_R)} \| \varPsi_R^\theta \|_{L^6(\mathcal{D}_R)} \nonumber\\ & \quad \leq C R^{1/2} \| \boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R)} \cdot \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)} \cdot R^{1/2} \| u^r \|_{L^2({O}_R)}\nonumber\\ & \quad \leq C R \| \boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R)}^3 \end{align}and
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \left(r u^r \partial_r + r u^z \partial_z \right) u^\theta \varPsi_R^\theta \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ &\quad \leq C R \| (u^r, u^z) \|_{L^3(\mathcal{D}_R)} \| (\partial_r, \partial_z )u^\theta \|_{L^2(\mathcal{D}_R)} \| \varPsi_R^\theta \|_{L^6(\mathcal{D}_R )} \nonumber\\ &\quad \leq C R \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)}^3. \end{align}Combining the estimates (4.24)–(4.28) one arrives at
\begin{equation} \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \partial_\theta P \varPsi_R^\theta \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \leq C R \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)}^2 + C R \| \boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R)}^3. \end{equation}Similarly, it can be proved that
\begin{equation} \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \partial_z P \varPsi_R^z \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \leq C\| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R )}^2 + C \| \boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R)}^3. \end{equation}The above computations imply that
It follows from case (c) of Lemma 2.2 that if
$Y(R)$ is not identically zero, then for any
$\alpha \in (0, {1}/{C_1})$, there exists a constant
$C>0$ such that
Hence, if
$\varliminf _{R\to \infty }(Y(R) R^{-\alpha })= 0$ then
$Y(R)$ must be identically zero. This implies that
$\boldsymbol {\nabla } {\boldsymbol {u}}\equiv 0$ and, thus,
${\boldsymbol {u}}\equiv 0$. Hence, the proof for case (a) of Theorem 1.2 is completed.
Step 3. Proof for case (b) of Theorem 1.2. We estimate the first two terms on the right-hand side of (3.2) and the terms on the right-hand sides of (4.7)–(4.9) in a different way. Using the Poincaré inequality and the Sobolev embedding inequality, we obtain
and
\begin{align} \left| \int_{\varOmega} \frac12 |{\boldsymbol{u}}|^2 {\boldsymbol{u}} \boldsymbol{\cdot} \boldsymbol{\nabla} \varphi_R \right| &\leq C \|u^r\|_{L^\infty ({O}_R )} \|{\boldsymbol{u}}\|_{L^2 ({O}_R )}^2 \nonumber\\ & \leq CR^{1/2}\|u^r\|_{L^\infty ({O}_R )} \|{\boldsymbol{u}}\|_{L^\infty ({O}_R )} \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2 ({O}_R )}. \end{align}By virtue of (4.5), one has
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R (\partial_r u^r \partial_r \varPsi_R^r + \partial_z u^r \partial_z \varPsi_R^r ) \, {\rm d} r\, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ &\quad \leq C \| ( \partial_r, \partial_z ) u^r \|_{L^2(\mathcal{D}_R)} \| ( \partial_r, \partial_z ) \varPsi_R^r\|_{L^2(\mathcal{D}_R)}\nonumber\\ &\quad \leq C \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)} \| u^r \|_{L^2({O}_R)} \leq C R^{1/2} \|u^r\|_{L^\infty ({O}_R)}\| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)}, \end{align}
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R r^{{-}2} ( \partial_\theta u^r - 2 u^\theta ) \partial_\theta \varPsi_R^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ & \quad \leq C R^{{-}1} \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R ) } \|u^r \|_{L^2({O}_R) } \leq C R^{{-}1/2} \|u^r\|_{L^\infty ({O}_R)} \| \boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R )} \end{align}and
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \left[ \left( \frac{1}{r} \partial_r - \frac{1}{r^2} \right)u^r \right] \varPsi_R^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ &\quad \leq C ( R^{{-}1} \| \partial_r u^r \|_{L^2(\mathcal{D}_R)} + R^{{-}2} \| u^r \|_{L^2(\mathcal{D}_R)} ) \| \varPsi_R^r \|_{L^2(\mathcal{D}_R)} \nonumber\\ &\quad \leq C ( R^{{-}3/2} + R^{{-}5/2} ) \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R)} \cdot \| \partial_z \varPsi_R^r \|_{L^2(\mathcal{D}_R)} \nonumber\\ &\quad \leq C R^{{-}1} \| \boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R ) } \|u^r\|_{L^2({O}_R )} \leq C R^{{-}1/2} \|u^r\|_{L^\infty ({O}_R)} \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)} . \end{align}Furthermore, it holds that
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R (u^r \partial_r + u^z \partial_z ) u^r \varPsi_R^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ &\quad \leq C \| (u^r, u^z) \|_{L^\infty (\mathcal{D}_R) } \| (\partial_r, \partial_z )u^r \|_{L^2(\mathcal{D}_R)} \| \varPsi_R^r \|_{L^2 (\mathcal{D}_R)}\nonumber\\ &\quad \leq C \|{\boldsymbol{u}}\|_{L^\infty ({O}_R)} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)} \|u^r \|_{L^2({O}_R)}\nonumber\\ & \quad \leq C R^{1/2} \|{\boldsymbol{u}}\|_{L^\infty ({O}_R)} \|u^r\|_{L^\infty ({O}_R)} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)} \end{align}and
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R r^{{-}1} ((u^\theta)^2 - u^\theta \partial_\theta u^r ) \varPsi_R^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ & \quad \leq C R^{{-}1/2} \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2 ({O}_R)} \|u^\theta \|_{L^\infty (\mathcal{D}_R) } \| \varPsi_R^r \|_{L^2(\mathcal{D}_R )}\nonumber\\ & \quad \leq C \|{\boldsymbol{u}}\|_{L^\infty ({O}_R)} \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R )} \| u^r \|_{L^2({O}_R )}\nonumber\\ &\quad \leq C R^{1/2} \|{\boldsymbol{u}}\|_{L^\infty ({O}_R)} \| u^r \|_{L^\infty({O}_R )} \| \boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R ) }. \end{align}Combining the estimates (4.35)–(4.39) one arrives at
\begin{equation} \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \partial_r P \varPsi_R^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \leq C R^{1/2}(1+\|{\boldsymbol{u}}\|_{L^\infty ({O}_R)})\|u^r\|_{L^\infty ({O}_R)} \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R )} . \end{equation}Furthermore, straightforward computations lead to
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R r(\partial_r u^\theta \partial_r \varPsi_R^\theta + \partial_z u^\theta \partial_z \varPsi_R^\theta) \, {\rm d} r\, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ &\quad \leq C R \| (\partial_r u^\theta, \partial_z u^\theta) \|_{L^2(\mathcal{D}_R)} \| (\partial_r, \partial_z) \varPsi_R^\theta \|_{L^2(\mathcal{D}_R)} \nonumber\\ &\quad \leq C R \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)} \| u^r \|_{L^2({O}_R) } \leq C R^{3/2} \|u^r\|_{L^\infty({O}_R)}\| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)}, \end{align}
\begin{align} & \left|\int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R r^{{-}1}(\partial_\theta u^\theta + 2 u^r ) \partial_\theta \varPsi_R^\theta \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ & \quad \leq C ( \|r^{{-}1} (\partial_\theta u^\theta + u^r ) \|_{L^2(\mathcal{D}_R)} + R^{{-}1} \|u^r\|_{L^2(\mathcal{D}_R) })\| \partial_\theta \varPsi_R^\theta \|_{L^2(\mathcal{D}_R ) }\nonumber\\ & \quad \leq C \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R )} \|u^r \|_{L^2({O}_R)} \leq CR^{1/2} \|u^r\|_{L^\infty({O}_R)}\| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)} \end{align}and
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \frac{1}{r} u^\theta \varPsi_R^\theta \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \leq C R^{{-}1} \| u^\theta \|_{L^2(\mathcal{D}_R)} \| \varPsi_R^\theta \|_{L^2(\mathcal{D}_R)}\nonumber\\ &\quad \leq C R^{{-}1} \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R )} \|u^r \|_{L^2 ({O}_R)} \leq C R^{{-}1/2} \|u^r\|_{L^\infty({O}_R)} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)} . \end{align}By the Hölder inequality and (4.5) one derives
\begin{align} &\left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R (u^r u^{\theta}+ u^\theta \partial_\theta u^\theta) \varPsi_R^{\theta} \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right|\nonumber\\ &\quad \leq C R \| r^{{-}1} (u^r + \partial_\theta u^\theta) \|_{L^2(\mathcal{D}_R)} \|u^\theta \|_{L^\infty (\mathcal{D}_R)} \| \varPsi_R^\theta \|_{L^2(\mathcal{D}_R)} \nonumber\\ & \quad \leq C R^{1/2} \| \boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R)} \cdot \| {\boldsymbol{u}} \|_{L^\infty ({O}_R)} \cdot R^{1/2} \| u^r \|_{L^2({O}_R)}\nonumber\\ & \quad \leq C R^{3/2} \|{\boldsymbol{u}}\|_{L^\infty ({O}_R)} \| u^r \|_{L^2({O}_R)} \| \boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R)} \end{align}and
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R (r u^r \partial_r + r u^z \partial_z ) u^\theta \varPsi_R^\theta \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ &\quad \leq C R \| {\boldsymbol{u}} \|_{L^\infty ({O}_R)} \| (\partial_r, \partial_z )u^\theta \|_{L^2(\mathcal{D}_R)} \| \varPsi_R^\theta \|_{L^2 (\mathcal{D}_R )} \nonumber\\ &\quad \leq C R\| {\boldsymbol{u}} \|_{L^\infty ({O}_R)} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)} \| u^r \|_{L^2({O}_R )}\nonumber\\ &\quad \leq C R^{3/2} \| {\boldsymbol{u}} \|_{L^\infty ({O}_R)}\| u^r \|_{L^\infty ({O}_R)} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)}. \end{align}Combining the estimates (4.41)–(4.45) one obtains
\begin{equation} \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \partial_\theta P \varPsi_R^\theta \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \leq C R^{3/2} (1+ \| {\boldsymbol{u}} \|_{L^\infty ({O}_R)}) \| u^r \|_{L^\infty ({O}_R)} \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)}. \end{equation}Similarly, it can be proved that
\begin{equation} \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \partial_z P \varPsi_R^z \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \leq C R^{1/2}(1+\|{\boldsymbol{u}}\|_{L^\infty ({O}_R)})\|u^r\|_{L^\infty ({O}_R)} \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R )}. \end{equation}Collecting the above computations one has
where
${Y}(R)$ is defined in (3.21).
Suppose that there exist
$\beta \in [0, {\alpha }/{2}]$ and
$C>0$ such that the conditions in (1.12a,b) hold. Then for any
$\varepsilon >0$, there exists a
$R_0 (\varepsilon )>2$ such that
Therefore, inequality (4.48) implies that
We assume
${\boldsymbol {u}}$ is not identically equal to zero. Then
$Y(R)>0$ for large
$R$ and it follows that
Integrating it over an interval
$(R_1,R_2)$ for large
$R_1$, we obtain
According to case (a) of Theorem 1.2, as
$R_2\to \infty$, it holds that
$Y(R_2)\to \infty$. Hence,
Therefore,
As
$\varepsilon >0$ is chosen arbitrarily, by case (a) of Theorem 1.2, it follows that
${\boldsymbol {u}}\equiv 0$, which is a contradiction. Therefore,
${\boldsymbol {u}}$ is a constant and, thus,
${\boldsymbol {u}}\equiv 0$. This completes the proof of case (b) of Theorem 1.2.
Now we are in position to prove Theorem 1.3, where Lemma 2.3 helps to guarantee the uniform boundedness of the gradient of the velocity field.
Proof Proof for Theorem 1.3
Assume that
${\boldsymbol {u}}$ is a smooth solution to the Navier–Stokes system (1.1). Taking the
$x_i$ derivative (
$i=1, 2$) of the first equation in (1.1) one obtains
Multiplying the equation in (4.55) by
$\varphi _R(r) \partial _{x_i} {\boldsymbol {u}}$ and integrating over
$\varOmega$ one derives
\begin{align} &\int_\varOmega
|\boldsymbol{\nabla} \partial_{x_i} {\boldsymbol{u}}|^2
\varphi_R + \int_\varOmega (\boldsymbol{\nabla} \varphi_R
\boldsymbol{\cdot} \boldsymbol{\nabla} \partial_{x_i}
{\boldsymbol{u}}) \boldsymbol{\cdot} \partial_{x_i} {\boldsymbol{u}}
+\int_\varOmega (\partial_{x_i} {\boldsymbol{u}}
\boldsymbol{\cdot} \boldsymbol{\nabla}){\boldsymbol{u}}
\boldsymbol{\cdot} \partial_{x_i} {\boldsymbol{u}} \varphi_R
\nonumber\\ &\quad = \frac12 \int_\varOmega
({\boldsymbol{u}} \boldsymbol{\cdot} \boldsymbol{\nabla}
\varphi_R) |\partial_{x_i} {\boldsymbol{u}} |^2 +
\int_\varOmega \partial_{x_i} P \partial_{x_i}
{\boldsymbol{u}} \boldsymbol{\cdot} \boldsymbol{\nabla}
\varphi_R. \end{align}
It follows from the Poincaré inequality that
Integration by parts yields
In fact, one has
\begin{align} \left| \int_\varOmega (\partial_{x_i} {\boldsymbol{u}} \boldsymbol{\cdot} \boldsymbol{\nabla}) \partial_{x_i} {\boldsymbol{u}} \boldsymbol{\cdot} {\boldsymbol{u}} \varphi_R \right| &\leq \| \boldsymbol{\nabla} \partial_{x_i} {\boldsymbol{u}} \sqrt{ \varphi_R} \|_{L^2(\varOmega)} \|\partial_{x_i} {\boldsymbol{u}} \sqrt{\varphi_R } \|_{L^2(\varOmega)} \|{\boldsymbol{u}} \|_{L^\infty(\varOmega)} \nonumber\\ &\leq \|\boldsymbol{\nabla} \partial_{x_i} {\boldsymbol{u}} \sqrt{ \varphi_R} \|_{L^2(\varOmega)} \frac{1}{\rm \pi} \|\partial_{x_3} \partial_{x_i} {\boldsymbol{u}} \sqrt{\varphi_R } \|_{L^2(\varOmega)} \|{\boldsymbol{u}} \|_{L^\infty(\varOmega)} \nonumber\\ & \leq \frac{1}{\rm \pi}\|{\boldsymbol{u}} \|_{L^\infty(\varOmega)}\|\boldsymbol{\nabla} \partial_{x_i} {\boldsymbol{u}} \sqrt{ \varphi_R} \|_{L^2(\varOmega)}^2, \end{align}where the Poincaré inequality
has been used to get the second inequality. Furthermore, it holds that
where Lemma 2.3 has been used to get the last inequality in (4.61). Similarly, one has
Using the momentum equation (the first equation in (1.1)) one obtains
\begin{align} &\int_\varOmega \partial_{x_i} P \partial_{x_i} {\boldsymbol{u}} \boldsymbol{\cdot} \boldsymbol{\nabla} \varphi_R =\int_\varOmega \Delta u^i \partial_{x_i} {\boldsymbol{u}} \boldsymbol{\cdot} \boldsymbol{\nabla} \varphi_R - \int_\varOmega ({\boldsymbol{u}} \boldsymbol{\cdot} \boldsymbol{\nabla} u^i) \partial_{x_i} {\boldsymbol{u}} \boldsymbol{\cdot} \boldsymbol{\nabla} \varphi_R\nonumber\\ &\quad = \int_\varOmega (\partial_{x_1}^2 + \partial_{x_2}^2) u^i \partial_{x_i} {\boldsymbol{u}} \boldsymbol{\cdot} \boldsymbol{\nabla} \varphi_R - \int_\varOmega \partial_{x_3} u^i \partial_{x_3} \partial_{x_i} {\boldsymbol{u}} \boldsymbol{\cdot} \boldsymbol{\nabla} \varphi_R - \int_\varOmega ({\boldsymbol{u}} \boldsymbol{\cdot} \boldsymbol{\nabla} u^i) \partial_{x_i} {\boldsymbol{u}} \boldsymbol{\cdot} \boldsymbol{\nabla} \varphi_R. \end{align}Consequently, one has
Since
$\|{\boldsymbol {u}}\|_{L^\infty (\varOmega )} <{\rm \pi}$, it holds that
Define
Hence, the estimate (4.65) implies that
Assume that
$\boldsymbol {\nabla } \partial _{x_1}{\boldsymbol {u}}$ and
$\boldsymbol {\nabla } \partial _{x_2}{\boldsymbol {u}}$ are not identically equal to zero. Then
$Z(R)>0$ for
$R\geq R_0$ with
$R_0>0$, and one has
Integrating it over
$(R_0,R)$ for large
$R_0$ one arrives at
This leads to a contradiction when
$R$ is sufficiently large. Therefore,
$\boldsymbol {\nabla } \partial _{x_1} {\boldsymbol {u}} = \boldsymbol {\nabla } \partial _{x_2} {\boldsymbol {u}} \equiv 0$. Note that
$\partial _{x_1}{\boldsymbol {u}}=\partial _{x_2}{\boldsymbol {u}}=0$ at the boundary
$\mathbb {R}^2\times \{0, 1\}$. Thus,
$\partial _{x_1} {\boldsymbol {u}} = \partial _{x_2} {\boldsymbol {u}} \equiv 0$. It follows from the divergence free property of
${\boldsymbol {u}}$ that
$\partial _{x_3} u^3=0$. This, together with the no-slip boundary conditions, yields
Hence, the Navier–Stokes system can be written as
Taking the homogeneous boundary condition of
${\boldsymbol {u}}$ into consideration one derives
This completes the proof of Theorem 1.3.
5. Liouville-type theorem for flows in a periodic slab
This section is devoted to the proof of Theorem 1.4. Before the detailed presentation for the proof, let us introduce several lemmas that give some important properties for solutions of the Navier–Stokes system in
$\mathbb {R}^2\times \mathbb {T}$. We first prove that the pressure is also periodic once the solution
${\boldsymbol {u}}$ is uniformly bounded and periodic in one direction.
Lemma 5.1 Let
${\boldsymbol {u}}$ be a bounded smooth solution to the Navier–Stokes system (1.1) in
$\mathbb {R}^2 \times \mathbb {T}$. The pressure
$P$ is also a periodic function with respect to
$z$.
Proof. Let
$Q(r, \theta, z) = P(r, \theta, z+ 1) - P(r, \theta, z).$ Since
${\boldsymbol {u}}$ is periodic with respect to
$z$, one has
This implies that
$Q= Q_0$ for some constant
$Q_0 \in \mathbb {R}$.
Integrating the third equation in (1.6) with respect to
$(\theta, z)$ on
$[0, 2{\rm \pi} ]\times [0,1]$ and integrating by parts one obtains
\begin{align} 2{\rm \pi} Q_0 &=\int_0^1 \int_0^{2{\rm \pi}}\partial_z P(r, \theta, z)\, {\rm d} \theta \, {\rm d} z \nonumber\\ &= \int_0^1 \int_0^{2{\rm \pi}} \left( \partial_r^2 u^z + \frac{1}{r} \partial_r u^z \right) \, {\rm d} \theta \, {\rm d} z -\int_0^1 \int_0^{2{\rm \pi}} u^r \partial_r u^z-\left(\frac{1}{r}\partial_\theta u^\theta+\partial_z u^z\right)u^z \, {\rm d} \theta \, {\rm d} z\nonumber\\ &= \left( \partial_r + \frac{1}{r} \right) \int_0^1 \int_0^{2{\rm \pi}} \partial_r u^z \, {\rm d} \theta \, {\rm d} z - \left( \partial_r + \frac{1}{r} \right) \int_0^1 \int_0^{2{\rm \pi}} u^r u^z \, {\rm d} \theta \, {\rm d} z , \end{align}
where the divergence free property of
${\boldsymbol {u}}$ (the last equation in (1.6)) has been used to get the last equality. Hence, one has
for some constant
$Q_1 \in \mathbb {R}$.
Meanwhile, since
${\boldsymbol {u}}$ is bounded in
$\mathbb {R}^2\times \mathbb {T}$, it follows from Lemma 2.3 that
$\boldsymbol {\nabla } {\boldsymbol {u}}$ is also bounded in
$\mathbb {R}^2\times \mathbb {T}$. Hence, there exists a constant
$C>0$ such that
Hence,
$Q_0=0$. This implies that
$P$ is periodic with respect to
$z$.
Remark 5.1 In fact, the pressure of the Navier–Stokes system (1.1) in a periodic slab may not be periodic when the velocity is periodic but not bounded. For example,
$\bar {\boldsymbol {u}} = r^2 {\boldsymbol {e}}_z$ is a solution of the Navier–Stokes equations in
$\mathbb {R}^2 \times \mathbb {T}$; however, the associated pressure
$P = 4z$ is not periodic with respect to
$z$.
The following lemma shows the Liouville-type theorem for solutions of the Navier–Stokes system in a periodic slab when the associated Dirichlet integral is finite.
Lemma 5.2 Let
${\boldsymbol {u}}$ be a bounded smooth solution to the Navier–Stokes system (1.1) in
$\mathbb {R}^2\times \mathbb {T}$. Then
${\boldsymbol {u}} = (0, 0, c)$, provided that
$u^\theta$ is independent of
$\theta$ and
${\boldsymbol {u}}$ has a finite Dirichlet integral in the slab, i.e.
Remark 5.2 In fact, the results in Lemma 5.2 have been obtained in Pan (Reference Pan2021). Here we give a different and simpler proof, which contains some of the key ingredients for the analysis on general solutions whose Dirichlet integrals may not be finite.
Proof Proof of Lemma 5.2
The proof contains two steps.
Step 1. Set up. Since
${\boldsymbol {u}}$ is a bounded smooth solution to (1.1) in
$\mathbb {R}^2\times \mathbb {T}$, it follows from Lemma 5.1 that the equality (3.2) still holds.
Due to the divergence free property of
${\boldsymbol {u}}$ and the fact that
$u^\theta$ is independent of
$\theta$, one has
This implies that
It follows from (5.7a,b) and Lemma 2.1 that for every fixed
$\theta \in [0, 2{\rm \pi} ]$, there exists a vector valued function
${\boldsymbol {\varPsi }}_{R, \theta }(r, z) \in H_0^1(D_R; \mathbb {R}^2)$ satisfying
together with the estimate
where
$C$ is independent of
$\theta$. It follows from (5.7a,b) that
Note that the Bogovskii map is a linear map (Galdi Reference Galdi2011). Hence, there is a universal constant
$C>0$ such that
By the Poincaré inequality, one has
This, together with (5.9) and (5.11), gives
and
Furthermore, it follows from Lemma 5.1 and (5.8) that one has
\begin{align} \int_{\varOmega} P{\boldsymbol{u}} \boldsymbol{\cdot} \boldsymbol{\nabla}\varphi_{R} &={-} \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R P \cdot r u^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \nonumber\\ & ={-} \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R P ( \partial_r \varPsi_{R, \theta}^r + \partial_z \varPsi_{R, \theta}^z ) \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \nonumber\\ & = \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R ( \partial_r P \varPsi_{R, \theta}^r + \partial_z P \varPsi_{R, \theta}^z ) \, {\rm d} r \, {\rm d} \theta \, {\rm d} z . \end{align}
Clearly, the right-hand side of (5.15) can be represented by (4.7) and (4.9) with
$(\varPsi ^r_R, \varPsi ^z_R)$ replaced by
$(\varPsi ^r_{R,\theta }, \varPsi ^z_{R,\theta })$.
Step 2. Saint-Vernant type estimate. We estimate the first two terms on the right-hand side of (3.2) and the right-hand side of (5.15). Using the Hölder inequality one obtains
It follows from (5.12) that
By virtue of the Poincaré inequality (5.12) and the estimates (5.13) and (5.14), one has
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R (\partial_r u^r \partial_r \varPsi_{R, \theta}^r + \partial_z u^r \partial_z \varPsi_{R, \theta}^r )\, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ &\quad \leq C R^{{-}1/2} \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R )} \cdot R^{1/2} \|u^r \|_{L^2({O}_R )} \leq CR^{1/2} \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R)} \end{align}and
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \frac{1}{r^2} \partial_\theta u^r \partial_\theta \varPsi_{R, \theta}^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right|\nonumber\\ &\quad =\left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R r^{{-}2} ( \partial_\theta u^r - u^\theta) \partial_\theta \varPsi_{R, \theta}^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right|\nonumber\\ &\quad \leq C R^{{-}3/2} \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R )} \cdot R^{1/2} \|\partial_\theta u^r \|_{L^2({O}_R)} \nonumber\\ &\quad \leq C \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R)} (\| r^{{-}1} (\partial_\theta u^r - u^\theta)\|_{L^2({O}_R ) } + \|r^{{-}1} u^\theta \|_{L^2({O}_R)} )\nonumber\\ & \quad \leq C \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)} ( \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R)} + R^{{-}1/2} \|{\boldsymbol{u}}\|_{L^\infty({O}_R)} ) \leq C \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R)}, \end{align}where the last inequality is due to the assumption (5.5). Furthermore, one has
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \left( \frac1r \partial_r - \frac{1}{r^2} \right) u^r \varPsi_{R, \theta}^r \, {\rm d} r\, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ &\quad \leq C R^{{-}1} R^{{-}1/2} \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R )} \cdot R^{1/2} \| u^r\|_{L^2({O}_R)} \leq C R^{{-}1/2} \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)}, \end{align}
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R r^{{-}1} [ u^\theta \partial_\theta u^r - (u^\theta)^2 ] \varPsi_{R, \theta}^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z\right| \nonumber\\ & \quad \leq C R^{{-}1/2} \|{\boldsymbol{u}}\|_{L^\infty({O}_R)} \| r^{{-}1} (\partial_\theta u^r - u^\theta) \|_{L^2({O}_R)} \cdot R^{1/2} \|u^r\|_{L^2({O}_R)}\nonumber\\ & \quad \leq C R^{1/2} \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R ) } \end{align}and
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R [(u^r \partial_r + u^z \partial_z ) u^r ] \varPsi_{R, \theta}^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z\right| \nonumber\\ &\quad \leq C \|{\boldsymbol{u}} \|_{L^\infty({O}_R )} \cdot R^{{-}1/2}\|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)} \cdot R^{1/2} \|u^r \|_{L^2({O}_R)} \nonumber\\ &\quad \leq C R^{1/2} \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R ) }. \end{align}Collecting the estimates (5.18)–(5.22) one derives
\begin{equation} \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \partial_r P \varPsi_{R, \theta}^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \leq C R^{1/2} \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R ) }. \end{equation}Similarly, it holds that
\begin{equation} \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \partial_z P \varPsi_{R, \theta}^z \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \leq C R^{1/2} \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R ) }. \end{equation}Combining (5.16)–(5.17) and (5.23)–(5.24) one arrives at
where
$Y(R)$ is defined in (3.21). The same argument as that for the proof of Theorem 1.3 proves that
$\boldsymbol {\nabla } {\boldsymbol {u}} \equiv 0$. Thus,
${\boldsymbol {u}}$ is a constant vector. Since
$u^\theta$ is independent of
$\theta$, one has
${\boldsymbol {u}}=(0, 0, c)$ for some constant
$c$.
Now we are ready for the proof of Theorem 1.4.
Proof Proof for Theorem 1.4
Since
${\boldsymbol {u}}$ is a bounded smooth solution to (1.1) in
$\mathbb {R}^2\times \mathbb {T}$, it follows from Lemma 5.1 that the equality (3.2) still holds.
We divide the rest of the proof into three steps.
Step 1. Proof for case (a) of Theorem 1.4. The proof is almost the same as that for Lemma 5.2, except that
\begin{equation} \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \frac{1}{r^2} \partial_\theta u^r \partial_\theta \varPsi_{R, \theta}^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \leq C \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R )}^2 + C \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R)}, \end{equation}which has been obtained in (5.19). The computations in the proof of Lemma 5.2 imply that
where
$Y(R)$ is defined in (3.21). Hence, one has
\begin{equation} [{Y}^{\prime}(R)]^{1/2} \geq \frac{-C_2 R^{1/2} +\sqrt{C_2^2 R + 4C_1 Y(R) } }{2C_1} \geq \frac{Y(R)}{ \sqrt{C_2^2 R + 4C_1 Y(R) }}. \end{equation}
Suppose that
$\boldsymbol {\nabla } {\boldsymbol {u}}$ is not identically equal to zero. For
$R$ large enough,
$Y(R) > 0$,
Let
$M$ be a large number satisfying
$M^{-1} C_2^2 \leq \frac 14$. According to Lemma 5.2, there exists an
$R_0 >2$ such that
$Y(R_0) \geq M$, otherwise
$\boldsymbol {\nabla } {\boldsymbol {u}} \equiv 0$. For every
$R > R_0$, integrating (5.29) over
$[R, 2R]$, one gets
Since
$Y(R) \geq M$, it holds that
This implies the exponential growth of
$\| \boldsymbol {\nabla } {\boldsymbol {u}} \|_{L^2(\varOmega _R)}$ and leads to a contradiction to the uniform boundedness of
$\boldsymbol {\nabla } {\boldsymbol {u}}$, according to Lemma 2.3. Hence,
$\boldsymbol {\nabla } {\boldsymbol {u}} \equiv 0$ and
${\boldsymbol {u}} = (0, 0, c)$, since
$u^\theta$ is axisymmetric. The proof for case (a) of Theorem 1.4 is completed.
Step 2. Proof for case (b) of Theorem 1.4. Using the divergence free property of
${\boldsymbol {u}}$, one has
Since
$u^r$ is independent of
$\theta$, it holds that
Hence, we have the Poincaré inequality (5.12). Furthermore, by virtue of Lemma 2.1, there exists a vector valued function
${\boldsymbol {\varPsi }}_R(r, z) \in H_0^1(D_R; \mathbb {R}^2)$ satisfying (3.7) and the estimate (3.8). Therefore, one has
\begin{align} \int_{\varOmega} P {\boldsymbol{u}} \boldsymbol{\cdot} \boldsymbol{\nabla} \varphi_R &= \int_0^1 \int_{R-1}^R \int_0^{2{\rm \pi}} P u^r r \, {\rm d} \theta \, {\rm d} r \, {\rm d} z = \int_0^1 \int_{R-1}^R\int_0^{2{\rm \pi}} P ( \partial_r \varPsi_R^r + \partial_z \varPsi_R^z ) \,{\rm d}\theta \, {\rm d} r\, {\rm d} z\nonumber\\ &={-} \int_0^1 \int_{R-1}^R\int_0^{2{\rm \pi}} (\partial_r P \varPsi_R^r + \partial_z P \varPsi_R^z ) \, {\rm d} \theta \, {\rm d} r\, {\rm d} z, \end{align}where the right-hand side can be represented by (4.7) and (4.9)
Now let us start the estimate for the right-hand side of (3.2). The first two terms on the right-hand side of (3.2) can be estimated as the same as that in (5.16) and (5.17). Note that we do not need to estimate the term appearing on the left-hand side of (5.19) since
$\partial _\theta u^r\equiv 0$. All the other terms appearing in (4.7) and (4.9) can be estimated in exactly the same way as that in step 2 of the proof for Lemma 5.2. Hence, we arrive at (5.25) with
$Y(R)$ defined in (3.21). As in the proof for Theorem 1.3, we can show that
$\boldsymbol {\nabla } {\boldsymbol {u}} \equiv 0$. Thus,
${\boldsymbol {u}}$ is a constant vector. Since
$u^r$ is independent of
$\theta$, one has
${\boldsymbol {u}}=(0, 0, c)$ for some constant
$c$. This finishes the proof for case (b) of Theorem 1.4.
Step 3. Proof for case (c) of Theorem 1.4. For steady solutions of the Navier–Stokes system in
$\mathbb {R}^2\times \mathbb {T}$, following the same proof as that for (4.3a,b), one obtains
Furthermore, there exists a vector valued function
${\boldsymbol {\varPsi }}_R(r, \theta, z)\in H_0^1 (\mathcal {D}_R; \mathbb {R}^3)$ satisfying (4.4) and (4.5). Thus, it holds that
\begin{align} \int_{\varOmega} P {\boldsymbol{u}} \boldsymbol{\cdot} \boldsymbol{\nabla} \varphi_R & = \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R P u^r r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \nonumber\\ & ={-} \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R (\partial_r P \varPsi_R^r + \partial_\theta P \varPsi_R^\theta + \partial_z P \varPsi_R^z ) \, {\rm d} r \, {\rm d} \theta \, {\rm d} z. \end{align}Clearly, we have the same (4.7)–(4.9) to characterize the terms on the right-hand side of (5.36).
Now we are in position to estimate the first two terms on the right-hand side of (3.2) and the terms on the right-hand side of (5.36) carefully. First, one has
and
According to (4.5), one has
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R (\partial_r u^r \partial_r \varPsi_R^r + \partial_z u^r \partial_z \varPsi_R^r ) \, {\rm d} r\, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ &\quad \leq C R^{{-}1/2} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)} \cdot R^{1/2} \| u^r \|_{L^2({O}_R)} \leq C R^{1/2} \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)} \|u^r \|_{L^\infty({O}_R ) }, \end{align}
\begin{align} &\left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R r^{{-}2} \left( \partial_\theta u^r - 2 u^\theta \right) \partial_\theta \varPsi_R^r \, {\rm d} r\, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ &\quad \leq C \left( R^{{-}3/2} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R )} + R^{{-}5/2} \| u^\theta \|_{L^2({O}_R)} \right) \cdot R^{1/2} \|u^r \|_{L^2({O}_R)} \nonumber\\ & \quad \leq C R^{{-}1/2} \| \boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R) } \|u^r \|_{L^\infty({O}_R)} + CR^{{-}1} \|u^r \|_{L^\infty({O}_R)} \end{align}and
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \left[ \left( \frac{1}{r} \partial_r - \frac{1}{r^2} \right)u^r \right] \varPsi_R^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ &\quad \leq C ( R^{{-}3/2} \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R)} + R^{{-}5/2} \|u^r \|_{L^2({O}_R)} ) \cdot R^{1/2} \|u^r \|_{L^2({O}_R)} \nonumber\\ & \quad \leq C R^{{-}1/2} \| \boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R ) } \| u^r \|_{L^\infty({O}_R ) } + CR^{{-}1} \|u^r\|_{L^\infty({O}_R)}. \end{align}Furthermore, it holds that
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R (u^r \partial_r + u^z \partial_z ) u^r \varPsi_R^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ &\quad \leq C \| (u^r, u^z) \|_{L^\infty (\mathcal{D}_R) } \| (\partial_r, \partial_z )u^r \|_{L^2(\mathcal{D}_R)} \| \varPsi_R^r \|_{L^2(\mathcal{D}_R)} \nonumber\\ &\quad \leq C R^{1/2} \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R )} \| u^r \|_{L^\infty({O}_R)} \end{align}and
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R r^{{-}1} ( u^\theta \partial_\theta u^r - u^\theta u^\theta ) \varPsi_R^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ & \quad \leq C \|u^\theta \|_{L^\infty({O}_R) } \cdot R^{{-}1/2} \|\boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R )} \cdot R^{1/2} \|u^r\|_{L^2({O}_R) }\nonumber\\ & \quad \leq C R^{1/2} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R )} \| u^r \|_{L^\infty({O}_R)} . \end{align}Combining the estimates (5.39)–(5.43) one obtains
\begin{equation} \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \partial_r P \varPsi_R^r \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \leq C R^{1/2} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R )} + C \|u^r\|_{L^\infty({O}_R) }. \end{equation}It follows from (4.5) and (4.11)–(4.13) that one has
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R r(\partial_r u^\theta \partial_r \varPsi_R^\theta + \partial_z u^\theta \partial_z \varPsi_R^\theta) \, {\rm d} r\, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ &\quad \leq C R \| (\partial_r u^\theta, \partial_z u^\theta ) \|_{L^2(\mathcal{D}_R)} \| (\partial_r, \partial_z) \varPsi_R^\theta \|_{L^2(\mathcal{D}_R)} \nonumber\\ &\quad \leq C R^{1/2} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)}\cdot R^{1/2} \| u^r \|_{L^2({O}_R) } \nonumber\\ &\quad \leq C R^{3/2} \|\boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)} \| u^r \|_{L^\infty({O}_R ) }, \end{align}
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R r^{{-}1} (\partial_\theta u^\theta + 2 u^r) \partial_\theta \varPsi_R^\theta \, {\rm d} r\, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ & \quad \leq C \left( \| r^{{-}1} (\partial_\theta u^\theta + u^r) \|_{L^2(\mathcal{D}_R )} + R^{{-}1} \|u^r\|_{L^2(\mathcal{D}_R )} \right) \|\partial_\theta \varPsi_R^\theta\|_{L^2(\mathcal{D}_R)} \nonumber\\ & \quad \leq C R^{1/2} \| \boldsymbol{\nabla} {\boldsymbol{u}}\|_{L^2({O}_R)} \|u^r \|_{L^\infty({O}_R)} + C \|u^r\|_{L^\infty({O}_R)} \end{align}and
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \frac{1}{r} u^\theta \varPsi_R^\theta \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \leq C R^{{-}1} \| u^\theta \|_{L^2(\mathcal{D}_R)} \| \varPsi_R^\theta \|_{L^2(\mathcal{D}_R)}\nonumber\\ &\quad \leq C R^{{-}1 } \|u^\theta \|_{L^\infty ({O}_R)} \cdot R^{1/2} \| u^r \|_{L^2({O}_R) } \leq C \|u^r\|_{L^\infty({O}_R)}. \end{align}Furthermore, applying the Poincaré inequality one derives
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R (u^r u^{\theta} + u^\theta \partial_\theta u^\theta) \varPsi_R^{\theta} \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ & \quad \leq C R^{1/2} \|r^{{-}1} (u^r + \partial_\theta u^\theta) \|_{L^2({O}_R) } \|u^\theta \|_{L^\infty(\mathcal{D}_R)} \| \varPsi_R^\theta \|_{L^2(\mathcal{D}_R)}\nonumber\\ & \quad \leq C R^{3/2} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R )} \| u^r \|_{L^\infty({O}_R)} \end{align}and
\begin{align} & \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R (r u^r \partial_r + r u^z \partial_z ) u^\theta \varPsi_R^\theta \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \nonumber\\ &\quad \leq C R \| (u^r, u^z) \|_{L^\infty(\mathcal{D}_R)} \| (\partial_r, \partial_z )u^\theta \|_{L^2(\mathcal{D}_R)} \| \varPsi_R^\theta \|_{L^2(\mathcal{D}_R )} \nonumber\\ &\quad \leq C R^{3/2} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)} \|u^r \|_{L^\infty ({O}_R )}. \end{align}Combining the estimates (5.45)–(5.49) one gets
\begin{equation} \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \partial_\theta P \varPsi_R^\theta \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \leq C R^{3/2} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R)} \|u^r \|_{L^\infty({O}_R )} + C \|u^r\|_{L^\infty({O}_R) }. \end{equation}Similarly, it can be proved that
\begin{equation} \left| \int_0^1 \int_0^{2{\rm \pi}} \int_{R-1}^R \partial_z P \varPsi_R^z \, {\rm d} r \, {\rm d} \theta \, {\rm d} z \right| \leq CR^{1/2} \| \boldsymbol{\nabla} {\boldsymbol{u}} \|_{L^2({O}_R )}+ C\|u^r\|_{L^\infty({O}_R)}. \end{equation}
Since
$ru^r$ is bounded, one obtains that
where
$Y(R)$ is defined in (3.21). Suppose that
$\boldsymbol {\nabla } {\boldsymbol {u}}$ is not identically equal to zero, there exists an
$R_0$ large enough such that
$Y(R_0)>0$. Since
$ru^r$ converges to zero uniformly in
$\theta,z$, there exists some
$R_1> R_0$ such that
$Y(R_0) \geq 2C_1 R \|u^r\|_{L^\infty ({O}_R)}$ for every
$R \geq R_1$ . Hence, it holds that
which leads to contradiction. Hence,
${\boldsymbol {u}} = (0, 0, c)$.
Step 4. Proof for case (d) of Theorem 1.4. Assume that
${\boldsymbol {u}}$ is a bounded, smooth solution to the Navier–Stokes system (1.1) in
$\mathbb {R}^2\times \mathbb {T}$. Taking the
$x_3$ derivative of the momentum equation,
Multiplying (5.54) by
$\varphi _R \partial _{x_3} {\boldsymbol {u}}$ and integrating over
$\varOmega$, one has
\begin{align} & \int_\varOmega
|\boldsymbol{\nabla} \partial_{x_3} {\boldsymbol{u}}|^2
\varphi_R + \int_\varOmega \boldsymbol{\nabla} \varphi_R
\boldsymbol{\cdot} \boldsymbol{\nabla} \partial_{x_3}
{\boldsymbol{u}} \boldsymbol{\cdot} \partial_{x_3} {\boldsymbol{u}} +
\int_\varOmega (\partial_{x_3} {\boldsymbol{u}}
\boldsymbol{\cdot} \boldsymbol{\nabla})
{\boldsymbol{u}} \boldsymbol{\cdot} \partial_{x_3} {\boldsymbol{u}}
\varphi_R \nonumber\\ &\quad =\frac12 \int_{\varOmega}
({\boldsymbol{u}} \boldsymbol{\cdot}
\boldsymbol{\nabla} \varphi_R) |\partial_{x_3}
{\boldsymbol{u}}|^2 + \int_{\varOmega} \partial_{x_3} P
\partial_{x_3} {\boldsymbol{u}} \boldsymbol{\cdot}
\boldsymbol{\nabla} \varphi_R.
\end{align}
Since
$\int _0^1 \partial _{x_3} {\boldsymbol {u}} \, \textrm {d}\kern0.7pt x_3 = 0$, by virtue of the Poincaré inequality and Lemma 2.3, one has
and
Note that it holds that
\begin{align} \left| \int_\varOmega (\partial_{x_3} {\boldsymbol{u}} \boldsymbol{\cdot} \boldsymbol{\nabla}) \partial_{x_3} {\boldsymbol{u}} \boldsymbol{\cdot} {\boldsymbol{u}} \varphi_R \right|& \leq \| \boldsymbol{\nabla} \partial_{x_3} {\boldsymbol{u}} \sqrt{ \varphi_R} \|_{L^2(\varOmega)} \|\partial_{x_3} {\boldsymbol{u}} \sqrt{\varphi_R } \|_{L^2(\varOmega)} \|{\boldsymbol{u}} \|_{L^\infty(\varOmega)} \nonumber\\ & \leq \|\boldsymbol{\nabla} \partial_{x_3} {\boldsymbol{u}} \sqrt{ \varphi_R} \|_{L^2(\varOmega)}\frac{1}{2{\rm \pi}} \|\partial_{x_3}^2 {\boldsymbol{u}} \sqrt{\varphi_R } \|_{L^2(\varOmega)} \|{\boldsymbol{u}} \|_{L^\infty(\varOmega)} \nonumber\\ & \leq \frac{1}{2{\rm \pi}} \|{\boldsymbol{u}} \|_{L^\infty(\varOmega)}\|\boldsymbol{\nabla} \partial_{x_3} {\boldsymbol{u}} \sqrt{ \varphi_R} \|_{L^2(\varOmega)}^2, \end{align}where the Wirtinger inequality (cf. Hardy, Littlewood & Pólya Reference Hardy, Littlewood and Pólya1952, p. 185)
has been used. Furthermore, the straightforward computations yield
and
Finally, one has
where the last inequality is due to the fact that
$\partial _{x_3} P$ is uniformly bounded.
Define
If
$\|{\boldsymbol {u}}\|_{L^\infty (\varOmega )} <2{\rm \pi}$, one has
The same argument as that for the proof of Theorem 1.3 proves that
$\boldsymbol {\nabla } \partial _{x_3} {\boldsymbol {u}} \equiv 0$, and thus,
$\partial _{x_3} {\boldsymbol {u}}$ is identically equal to a constant vector, which is indeed zero because
$\int _0^1 \partial _{x_3} {\boldsymbol {u}} \, \textrm {d}\kern0.7pt x_3 =0$. Hence,
${\boldsymbol {u}}$ must be independent of
$x_3$. Then it is straightforward to see that the pressure
$P$ is also independent of
$x_3$, and thus, the two-dimensional vector field
$(u_1, u_2)$ is a solution to the stationary Navier–Stokes equations in
$\mathbb {R}^2$. According to Koch et al. (Reference Koch, Nadirashvili, Seregin and Sverák2009, Theorem 5.1), the bounded two-dimensional solution
$(u_1, u_2)$ must be a constant vector. Then by elliptic theory, one can also show that
$u_3$, which is bounded, is also a constant.
The proof of Theorem 1.4 is completed.
Acknowledgements
The authors thank Professors M. Sano and H. Zhang for many helpful discussions. The authors also appreciate the referees for many important comments to improve the presentation of this paper.
Funding
J.B. thanks University of Texas San Antonio where he was a postdoctoral fellow and part of the work was done. The research of C.G. was partially supported by NSF grant DMS-2155183, the D. Parman Endowed Chair in Applied Mathematics when he was employed at the University of Texas at San Antonio, where part of the work was done. The research of C.G. is currently supported by University of Macau research grants CPG2023-00037-FST, CPG2024-00016-FST, SRG2023-00011-FST, MYRG-GRG2023-00139-FST-UMDF, UMDF Professorial Fellowship of Mathematics and Macao SAR FDCT 0003/2023/RIA1 and 0024/2023/RIB1. The research of Y.W. is partially supported by NSFC grants 12171349 and the Natural Science Foundation of Jiangsu Province (Grant No. BK20240147). The research of C.X. is partially supported by NSFC grants 12250710674 and 11971307, the Fundamental Research Funds for the Central Universities, Program of Shanghai Academic Research Leader 22XD1421400 and Natural Science Foundation of Shanghai 21ZR1433300.
Declaration of interest
The authors report no conflict of interest.
Data availability statements
All data generated or analysed during this study are included in this published paper.






