Abstract
We show the existence of global weak solutions to the three dimensional Navier–Stokes equations with initial velocity in the weighted spaces \(L^2_{w_\gamma }\), where \(w_\gamma (x)=(1+\vert x\vert )^{-\gamma }\) and \(0<\gamma \leqq 2\), using new energy controls. As an application we give a new proof of the existence of global weak discretely self-similar solutions to the three dimensional Navier–Stokes equations for discretely self-similar initial velocities which are locally square integrable.
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1 Introduction
Infinite-energy weak Leray solutions to the Navier–Stokes equations were introduced by Lemarié-Rieusset in 1999 [8] (they are presented more completely in [9] and [10]). This has allowed demonstration of the existence of local weak solutions for a uniformly locally square integrable initial data.
Other constructions of infinite-energy solutions for locally uniformly square integrable initial data were given in 2006 by Basson [1] and in 2007 by Kikuchi and Seregin [7]. These solutions allowed Jia and Sverak [6] to construct in 2014 the self-similar solutions for large (homogeneous of degree -1) smooth data. Their result has been extended in 2016 by Lemarié-Rieusset [10] to solutions for rough locally square integrable data. We remark that an homogeneous (of degree -1) and locally square integrable data is automatically uniformly locally \(L^2\).
Recently, Bradshaw and Tsai [2] and Chae and Wolf [3] considered the case of solutions which are self-similar according to a discrete subgroup of dilations. Those solutions are related to an initial data which is self-similar only for a discrete group of dilations; in contrast to the case of self-similar solutions for all dilations, such initial data, when locally \(L^2\), is not necessarily uniformly locally \(L^2\), therefore their results are no consequence of constructions described by Lemarié-Rieusset in [10].
In this paper, we construct an alternative theory to obtain infinite-energy global weak solutions for large initial data, which include the discretely self-similar locally square integrable data. More specifically, we consider the weights
with \(0<\gamma \), and the spaces
Our main theorem is the following one:
Theorem 1
Let \(0<\gamma \leqq 2\). If \(\mathbf{u}_{0}\) is a divergence-free vector field such that \(\mathbf{u}_0\in L^2_{w_\gamma }({\mathbb {R}}^3)\) and if \({\mathbb {F}}\) is a tensor \({\mathbb {F}}(t,x)=\left( F_{i,j}(t,x)\right) _{1\leqq i,j\leqq 3}\) such that \({\mathbb {F}}\in L^2((0,+\infty ), L^2_{w_\gamma })\), then the Navier–Stokes equations with initial value \(\mathbf{u}_0\)
have a global weak solution \(\mathbf{u}\) such that:
for every \(0<T<+\infty \), \(\mathbf{u}\) belongs to \(L^\infty ((0,T), L^2_{w_\gamma })\) and \(\mathbf{\nabla }\mathbf{u}\) belongs to \(L^2((0,T),L^2_{w_\gamma })\)
the pressure p is related to \(\mathbf{u}\) and \({\mathbb {F}}\) through the Riesz transforms \(R_i =\frac{\partial _i}{\sqrt{-\Delta }}\) by the formula
$$\begin{aligned} p =\sum _{i=1}^3\sum _{j=1}^3 R_iR_j(u_iu_j-F_{i,j}) \end{aligned}$$where, for every \(0<T<+\infty \), \(\sum _{i=1}^3\sum _{j=1}^3 R_iR_j(u_iu_j)\) belongs to \(L^{4}((0,T),L^{6/5}_{w_{\frac{6\gamma }{5}}})\) and \(\sum _{i=1}^3\sum _{j=1}^3 R_iR_j F_{i,j} \) belongs to \(L^{2}((0,T),L^{2}_{w_\gamma })\)
the map \(t\in [0,+\infty )\mapsto \mathbf{u}(t,.)\) is weakly continuous from \([0,+\infty )\) to \(L^2_{w_\gamma }\), and is strongly continuous at \(t=0\) :
$$\begin{aligned} \lim _{t\rightarrow 0} \Vert \mathbf{u}(t,.)-\mathbf{u}_0\Vert _{L^2_{w_\gamma }}=0. \end{aligned}$$the solution \(\mathbf{u}\) is suitable: there exists a non-negative locally finite measure \(\mu \) on \((0,+\infty )\times {\mathbb {R}}^3\) such that
$$\begin{aligned}&\partial _t\left( \frac{\vert \mathbf{u}\vert ^2}{2}\right) =\Delta \left( \frac{\vert \mathbf{u}\vert ^2}{2}\right) -\vert \mathbf{\nabla }\mathbf{u}\vert ^2\\&\quad - \mathbf{\nabla }\cdot \left( \Big (\frac{\vert \mathbf{u}\vert ^2}{2}+p\Big )\mathbf{u}\right) + \mathbf{u}\cdot (\mathbf{\nabla }\cdot {\mathbb {F}})-\mu . \end{aligned}$$
In particular, we have the energy controls
and
Remark
We use the following notations: the vector \(\mathbf{u}\) is given by its coordinates \(\mathbf{u}=(\mathbf{u}_1,\mathbf{u}_2,\mathbf{u}_3)\). The operator \(\mathbf{u}\cdot \nabla \) is the differential operator \(\mathbf{u}_1\partial _1+\mathbf{u}_2\partial _2+\mathbf{u}_3\partial _3\). Thus, \(\nabla \cdot (f\mathbf{u})=f \nabla \cdot \mathbf{u}+ \mathbf{u}\cdot \nabla f\).
For \({\mathbb {F}}=(F_{i,j})\), we write \(\nabla \cdot {\mathbb {F}}\) for the vector \(\displaystyle (\sum _{i=1}^3 \partial _i F_{i,1}, \sum _{i=1}^3 \partial _i F_{i,2}, \sum _{i=1}^3 \partial _i F_{i,3} )\).
For the vector fields \(\mathbf{b}\) and \(\mathbf{u}\), we define \(\mathbf{b}\otimes \mathbf{u}\) as \((b_iu_j)_{1\leqq i\leqq 3, 1\leqq j\leqq 3}\). Thus, if \(\mathbf{b}\) is divergence free (that is if \(\mathbf{\nabla }\cdot \mathbf{b}=0\)) we have \(\mathbf{\nabla }\cdot (\mathbf{b}\otimes \mathbf{u})=(\mathbf{b}\cdot \mathbf{\nabla })\mathbf{u}\).
A key tool for proving Theorem 1 and for applying it to the study of discretely self-similar solutions is given by the following a priori estimates for an advection-diffusion problem:
Theorem 2
Let \(0<\gamma \leqq 2\). Let \(0<T<+\infty \). Let \(\mathbf{u}_{0}\) be a divergence-free vector field such that \(\mathbf{u}_0\in L^2_{w_\gamma }({\mathbb {R}}^3)\) and \({\mathbb {F}}\) be a tensor \({\mathbb {F}}(t,x)=\left( F_{i,j}(t,x)\right) _{1\leqq i,j\leqq 3}\) such that \({\mathbb {F}}\in L^2((0,T), L^2_{w_\gamma })\). Let \(\mathbf{b}\) be a time-dependent divergence free vector-field (\(\mathbf{\nabla }\cdot \mathbf{b}=0\)) such that \(\mathbf{b}\in L^3((0,T),L^3_{w_{3\gamma /2}})\).
Let \(\mathbf{u}\) be a solution of the following advection-diffusion problem:
such that
\(\mathbf{u}\) belongs to \(L^\infty ((0,T), L^2_{w_\gamma })\) and \(\mathbf{\nabla }\mathbf{u}\) belongs to \(L^2((0,T),L^2_{w_\gamma })\);
the pressure p is related to \(\mathbf{u}\), \(\mathbf{b}\) and \({\mathbb {F}}\) through the Riesz transforms \(R_i =\frac{\partial _i}{\sqrt{-\Delta }}\) by the formula
$$\begin{aligned} p=\sum _{i=1}^3\sum _{j=1}^3 R_iR_j(b_iu_j-F_{i,j}) \end{aligned}$$where \(\sum _{i=1}^3\sum _{j=1}^3 R_iR_j(b_iu_j)\) belongs to \(L^{3}((0,T),L^{6/5}_{w_{\frac{6\gamma }{5}}})\) and \(\sum _{i=1}^3\sum _{j=1}^3 R_iR_j F_{i,j} \) belongs to \(L^{2}((0,T),L^{2}_{w_\gamma })\);
the map \(t\in [0,T)\mapsto \mathbf{u}(t,.)\) is weakly continuous from [0, T) to \(L^2_{w_\gamma }\), and is strongly continuous at \(t=0\) :
$$\begin{aligned} \lim _{t\rightarrow 0} \Vert \mathbf{u}(t,.)-\mathbf{u}_0\Vert _{L^2_{w_\gamma }}=0; \end{aligned}$$there exists a non-negative locally finite measure \(\mu \) on \((0,T)\times {\mathbb {R}}^3\) such that
$$\begin{aligned} \partial _t\left( \frac{\vert \mathbf{u}\vert ^2}{2}\right) =\Delta \left( \frac{\vert \mathbf{u}\vert ^2}{2}\right) -\vert \mathbf{\nabla }\mathbf{u}\vert ^2- \mathbf{\nabla }\cdot \left( \frac{\vert \mathbf{u}\vert ^2}{2}\mathbf{b}\right) -\mathbf{\nabla }\cdot (p\mathbf{u}) + \mathbf{u}\cdot (\mathbf{\nabla }\cdot {\mathbb {F}})-\mu . \end{aligned}$$(1)
Then, we have the energy controls
and
where \(C_\gamma \) depends only on \(\gamma \) (and not on T, and not on \(\mathbf{b}\), \(\mathbf{u}\), \(\mathbf{u}_0\) nor \({\mathbb {F}}\)).
In particular, we shall prove the following stability result:
Theorem 3
Let \(0<\gamma \leqq 2\). Let \(0<T<+\infty \). Let \(\mathbf{u}_{0,n}\) be divergence-free vector fields such that \(\mathbf{u}_{0,n}\in L^2_{w_\gamma }({\mathbb {R}}^3)\) and \({\mathbb {F}}_n\) be tensors such that \({\mathbb {F}}_n\in L^2((0,T), L^2_{w_\gamma })\). Let \(\mathbf{b}_n\) be time-dependent divergence free vector-fields such that \(\mathbf{b}_n\in L^3((0,T),L^3_{w_{3\gamma /2}})\).
Let \(\mathbf{u}_n\) be solutions of the advection-diffusion problems
such that
\(\mathbf{u}_n\) belongs to \(L^\infty ((0,T), L^2_{w_\gamma })\) and \(\mathbf{\nabla }\mathbf{u}_n\) belongs to \(L^2((0,T),L^2_{w_\gamma })\);
the pressure \(p_n\) is related to \(\mathbf{u}_n\), \(\mathbf{b}_n\) and \({\mathbb {F}}_n\) by the formula
$$\begin{aligned} p_n=\sum _{i=1}^3\sum _{j=1}^3 R_iR_j(b_{n,i}u_{n,j}-F_{n,i,j}); \end{aligned}$$the map \(t\in [0,T)\mapsto \mathbf{u}_n(t,.)\) is weakly continuous from [0, T) to \(L^2_{w_\gamma }\), and is strongly continuous at \(t=0\):
$$\begin{aligned} \lim _{t\rightarrow 0} \Vert \mathbf{u}_n(t,.)-\mathbf{u}_{0,n}\Vert _{L^2_{w_\gamma }}=0. \end{aligned}$$there exists a non-negative locally finite measure \(\mu _n\) on \((0,T)\times {\mathbb {R}}^3\) such that
$$\begin{aligned}&\partial _t\left( \frac{\vert \mathbf{u}_n\vert ^2}{2}\right) =\Delta \left( \frac{\vert \mathbf{u}_n\vert ^2}{2}\right) -\vert \mathbf{\nabla }\mathbf{u}_n\vert ^2- \mathbf{\nabla }\cdot \left( \frac{\vert \mathbf{u}_n\vert ^2}{2}\mathbf{b}_n\right) \\&\quad -\mathbf{\nabla }\cdot (p_n\mathbf{u}_n) + \mathbf{u}_n\cdot (\mathbf{\nabla }\cdot {\mathbb {F}}_n)-\mu _n; \end{aligned}$$
If \(\mathbf{u}_{0,n}\) is strongly convergent to \(\mathbf{u}_{0,\infty }\) in \(L^2_{w_\gamma }\), if the sequence \({\mathbb {F}}_n\) is strongly convergent to \({\mathbb {F}}_\infty \) in \(L^2((0,T), L^2_{w_\gamma })\), and if the sequence \(\mathbf{b}_n\) is bounded in \(L^3((0,T), L^3_{w_{3\gamma /2}})\), then there exists \(p_\infty \), \(\mathbf{u}_\infty \), \(\mathbf{b}_\infty \) and an increasing sequence \((n_k)_{k\in {\mathbb {N}}}\) with values in \({\mathbb {N}}\) such that
\(\mathbf{u}_{n_k}\) converges *-weakly to \(\mathbf{u}_\infty \) in \(L^\infty ((0,T), L^2_{w_\gamma })\), \(\mathbf{\nabla }\mathbf{u}_{n_k}\) converges weakly to \(\mathbf{\nabla }\mathbf{u}_\infty \) in \(L^2((0,T),L^2_{w_\gamma })\);
\(\mathbf{b}_{n_k}\) converges weakly to \(\mathbf{b}_\infty \) in \(L^3((0,T), L^3_{w_{3\gamma /2}})\), \(p_{n_k}\) converges weakly to \(p_\infty \) in \(L^{3}((0,T),L^{6/5}_{w_{\frac{6\gamma }{5}}})+L^{2}((0,T),L^{2}_{w_\gamma })\);
\(\mathbf{u}_{n_k}\) converges strongly to \(\mathbf{u}_\infty \) in \(L^2_\mathrm{loc}([0,T)\times {\mathbb {R}}^3)\) such that for every \(T_0\in (0,T)\) and every \(R>0\), we have
$$\begin{aligned} \lim _{k\rightarrow +\infty } \int _0^{T_0} \int _{\vert y\vert <R} \vert \mathbf{u}_{n_k}(s,y)-\mathbf{u}_\infty (s,y)\vert ^2\, \mathrm{d}s\, \mathrm{d}y=0. \end{aligned}$$
Moreover, \(\mathbf{u}_\infty \) is a solution of the advection-diffusion problem
and is such that
the map \(t\in [0,T)\mapsto \mathbf{u}_\infty (t,.)\) is weakly continuous from [0, T) to \(L^2_{w_\gamma }\), and is strongly continuous at \(t=0\) :
$$\begin{aligned} \lim _{t\rightarrow 0} \Vert \mathbf{u}_\infty (t,.)-\mathbf{u}_{0,\infty }\Vert _{L^2_{w_\gamma }}=0; \end{aligned}$$there exists a non-negative locally finite measure \(\mu _\infty \) on \((0,T)\times {\mathbb {R}}^3\) such that
$$\begin{aligned}&\partial _t\left( \frac{\vert \mathbf{u}_\infty \vert ^2}{2}\right) =\Delta \left( \frac{\vert \mathbf{u}_\infty \vert ^2}{2}\right) -\vert \mathbf{\nabla }\mathbf{u}_\infty \vert ^2- \mathbf{\nabla }\cdot \left( \frac{\vert \mathbf{u}_\infty \vert ^2}{2}\mathbf{b}_\infty \right) \\&\quad -\mathbf{\nabla }\cdot (p_\infty \mathbf{u}_\infty ) + \mathbf{u}_\infty \cdot (\mathbf{\nabla }\cdot {\mathbb {F}}_\infty )-\mu _\infty . \end{aligned}$$
2 Notations
Throughout the text, \(C_\gamma \) is a positive constant whose value may change from line to line but which depends only on \(\gamma \).
3 The Weights \(\varvec{w}_{\varvec{\delta }}\)
We consider the weights \(w_\delta =\frac{1}{(1+\vert x\vert )^\delta }\) where \(0<\delta \) and \(x\in {\mathbb {R}}^3\). A very important feature of those weights is the control of their gradients:
From this control, we can infer the following Sobolev embedding:
Lemma 1
(Sobolev embeddings) Let \(\delta >0\). If \(f\in L^2_{w_\delta }\) and \(\mathbf{\nabla }f\in L^2_{w_\delta }\) then \(f\in L^6_{w_{3\delta }}\) and
Proof
Since both f and \(w_{\delta /2}\) are locally in \(H^1\), we write
and thus
Thus, \(w_{\delta /2} f\) belongs to \(L^6\) (since \(H^1\subset L^6\)), or equivalently \(f\in L^6_{w_{3\delta }}\). \(\quad \square \)
We shall mainly be interested in the case \(\delta \leqq 2\). An important property for \(0<\delta <3\) is
Lemma 2
(Muckenhoupt weights) If \(0<\delta <3\) and \(1<p<+\infty \), then \(w_\delta \) belongs to the Muckenhoupt class \({\mathcal {A}}_p\).
Proof
We recall that a weight w belongs to \({\mathcal {A}}_p({\mathbb {R}}^3)\) for \(1<p<+\infty \) if and only if it satisfies the reverse Hölder inequality
For all \(0<R\leqq 1\) the inequality \(\vert x-y\vert <R\) implies \( \frac{1}{2} (1+\vert x\vert ) \leqq 1+\vert y\vert \leqq 2 (1+\vert x\vert )\), thus we can control the left side in (3) for \(w_\delta \) by \(4^{\frac{\delta }{p}}\).
For all \(R > 1\) and \(\vert x\vert >10 R\), we have that the inequality \(\vert x-y\vert <R\) implies \( \frac{9}{10} (1+\vert x\vert ) \leqq 1+\vert y\vert \leqq \frac{11}{10} (1+\vert x\vert )\), thus we can control the left side in (3) for \(w_\delta \) by \(( \frac{11}{9})^{\frac{\delta }{p}}\).
Finally, for \(R>1\) and \(\vert x\vert \leqq 10 R\), we write
The lemma is proved. \(\quad \square \)
Lemma 3
If \(0<\delta <3\) and \(1<p<+\infty \), then the Riesz transforms \(R_i\) and the Hardy–Littlewood maximal function operator are bounded on \(L^p_{w_\delta }=L^p(w_\delta (x)\, \mathrm{d}x)\):
Proof
The boundedness of the Riesz transforms or of the Hardy–Littlewwod maximal function on \(L^p(w_\gamma \, \mathrm{d}x)\) are basic properties of the Muckenhoupt class \({\mathcal {A}}_p\) [5].
\(\square \)
We will use strategically the next corollary, which is specially useful to obtain discretely self-similar solutions.
Corollary 1
(Non-increasing kernels) Let \(\theta \in L^1({\mathbb {R}}^3)\) be a non-negative radial function which is radially non-increasing. Then, if \(0<\delta <3\) and \(1<p<+\infty \), we have, for \(f\in L^p_{w_\delta }\), the inequality
Proof
We have the well-known inequality for radial non-increasing kernels [4]
so that we may conclude with Lemma 3. \(\quad \square \)
We illustrate the utility of Lemma 3 with the following corollaries:
Corollary 2
Let \(0<\gamma < \frac{5}{2} \) and \(0<T<+\infty \). Let \({\mathbb {F}}\) be a tensor \({\mathbb {F}}(t,x)=\left( F_{i,j}(t,x)\right) _{1\leqq i,j\leqq 3}\) such that \({\mathbb {F}}\in L^2((0,T), L^2_{w_\gamma })\). Let \(\mathbf{b}\) be a time-dependent divergence free vector-field (\(\mathbf{\nabla }\cdot \mathbf{b}=0\)) such that \(\mathbf{b}\in L^3((0,T),L^3_{w_{3\gamma /2}})\).
Let \(\mathbf{u}\) be a solution of the following advection-diffusion problem:
such that \(\mathbf{u}\) belongs to \(L^\infty ((0,T), L^2_{w_\gamma })\) and \(\mathbf{\nabla }\mathbf{u}\) belongs to \(L^2((0,T),L^2_{w_\gamma })\), and the pressure q belongs to \({\mathcal {D}}'( (0,T) \times {\mathbb {R}} ^3 )\).
Then, the gradient of the pressure \(\mathbf{\nabla }q\) is necessarily related to \(\mathbf{u}\), \(\mathbf{b}\) and \({\mathbb {F}}\) through the Riesz transforms \(R_i =\frac{\partial _i}{\sqrt{-\Delta }}\) by the formula
and \(\sum _{i=1}^3\sum _{j=1}^3 R_iR_j(b_iu_j)\) belongs to \(L^{3}((0,T),L^{6/5}_{w_{\frac{6\gamma }{5}}})\) and \(\sum _{i=1}^3\sum _{j=1}^3 R_iR_j F_{i,j} \) belongs to \(L^{2}((0,T),L^{2}_{w_\gamma })\).
Proof
We define
As \( 0< \gamma < \frac{5}{2} \) we can use Lemma 3 to obtain \(\sum _{i=1}^3\sum _{j=1}^3 R_iR_j(b_i u_j)\) belongs to \(L^{3}((0,T),L^{6/5}_{w_{\frac{6\gamma }{5}}})\) and \(\sum _{i=1}^3\sum _{j=1}^3 R_iR_j F_{i,j} \) belongs to \(L^{2}((0,T),L^{2}_{w_\gamma })\).
Taking the divergence in (4), we obtain \( \Delta (q-p)=0 \). We take a test function \(\alpha \in {\mathcal {D}}({\mathbb {R}})\) such that \(\alpha (t)= 0\) for all \(|t| \geqq \varepsilon \), and a test function \(\beta \in {\mathcal {D}}({\mathbb {R}}^3)\); then the distribution \(\mathbf{\nabla }q *( \alpha \otimes \beta ) \) is well defined on \((\varepsilon , T-\varepsilon ) \times {\mathbb {R}}^3\).
We fix \(t \in (\varepsilon , T-\varepsilon )\) and define
We have
Convolution with a function in \({\mathcal {D}}({\mathbb {R}}^3)\) is a bounded operator on \(L^2_{w_\gamma }\) and on \(L^{6/5}_{w_{6\gamma /5}}\) (as, for \(\varphi \in {\mathcal {D}}({\mathbb {R}}^3)\) we have \(\vert f*\varphi \vert \leqq C_\varphi {\mathcal {M}}_f\)). Thus, we may conclude from (5) that \(A_{\alpha ,\beta ,t}\in L^2_{w_\gamma }+ L^{6/5}_{w_{6\gamma /5}}\). If \(\max \{ \gamma , \frac{\gamma + 2 }{2} \}<\delta <5/2\) , we have \(A_{\alpha ,\beta ,t}\in L^{6/5}_{w_{6\delta /5}}\).
In particular, \(A_{\alpha ,\beta ,t}\) is a tempered distribution. As we have
we find that \(A_{\alpha ,\beta ,t}\) is a polynomial. We remark that for all \(1<r<+\infty \) and \(0< \delta < 3\), \(L^r_{w_\delta }\) does not contain non-trivial polynomials. Thus, \( A_{\alpha ,\beta ,t}= 0\). We then use an approximation of identity \(\frac{1}{\varepsilon ^4} \alpha (\frac{t}{\varepsilon })\beta (\frac{x}{\varepsilon })\) and conclude that \(\mathbf{\nabla }(q-p)=0\).
\(\square \)
Actually, we can answer a question posed by Bradshaw and Tsai in [2] about the nature of the pressure for self-similar solutions of the Navier–Stokes equations. In effect, we have the next corollary.
Corollary 3
Let \(1<\gamma < \frac{5}{2}\) and \(0<T<+\infty \). Let \({\mathbb {F}}\) be a tensor \({\mathbb {F}}(t,x)=\left( F_{i,j}(t,x)\right) _{1\leqq i,j\leqq 3}\) such that \({\mathbb {F}}\in L^2((0,T), L^2_{w_\gamma })\).
Let \(\mathbf{u}\) be a solution of the following problem:
such that \(\mathbf{u}\) belongs to \(L^\infty ([0,+\infty ), L^2)_{loc}\) and \(\mathbf{\nabla }\mathbf{u}\) belongs to \(L^2([0,+\infty ),L^2)_{loc}\), and the pressure q is in \({\mathcal {D}}'( (0,T) \times {\mathbb {R}} ^3 )\).
We suppose that there exists \(\lambda >1\) such that \( \lambda ^2 {\mathbb {F}}(\lambda ^2 t,\lambda x)={\mathbb {F}}(t,x) \) and \(\lambda \mathbf{u}(\lambda ^2 t,\lambda x)=\mathbf{u}(t,x)\). Then, the gradient of the pressure \(\mathbf{\nabla }q\) is necessarily related to \(\mathbf{u}\) and \({\mathbb {F}}\) through the Riesz transforms \(R_i =\frac{\partial _i}{\sqrt{-\Delta }}\) by the formula
and \(\sum _{i=1}^3\sum _{j=1}^3 R_iR_j(u_iu_j)\) belongs to \(L^{4}((0,T),L^{6/5}_{w_{\frac{6\gamma }{5}}})\) and \(\sum _{i=1}^3\sum _{j=1}^3 R_iR_j F_{i,j} \) belongs to \(L^{2}((0,T),L^{2}_{w_\gamma })\).
Proof
We shall use Corollary 2, and thus we need to show that \(\mathbf{u}\) belongs to \(L^\infty ((0,T), L^2_{w_\gamma } \cap L^3((0,T), L^3_{3\gamma /2}))\) and \(\mathbf{\nabla }\mathbf{u}\) belongs to \(L^2((0,T),L^2_{w_\gamma })\). In fact,
and
For \(\mathbf{\nabla }\mathbf{u}\), we compute for \(k\in {\mathbb {N}}\),
We may conclude that \(\mathbf{\nabla }\mathbf{u}\) belongs to \(L^2((0,T),L^2_{w_\gamma })\), since for \(\gamma >1\) we have \(\sum _{k\in {\mathbb {N}}} \lambda ^{ (1-\gamma ) k }<+\infty \).
Now, we use the Sobolev embedding described in Lemma 1 to get that \(\mathbf{u}\) belongs to \(L^2((0,T),L^6_{w_{3\gamma }})\), and thus (by interpolation with \(L^\infty ((0,T),L^2_{w_\gamma }))\) to \(L^4((0,T),L^3_{w_{3\gamma /2}})\).
In particular, \(\sum _{i=1}^3\sum _{j=1}^3 R_iR_j(u_iu_j)\) belongs to \(L^{4}((0,T),L^{6/5}_{w_{\frac{6\gamma }{5}}})\), since we have
\(\square \)
4 A Priori Estimates for the Advection-Diffusion Problem
4.1 Proof of Theorem 2
Let \(0<t_0<t_1<T\). We take a function \( \alpha \in {\mathcal {C}}^\infty ({\mathbb {R}})\) which is non-decreasing, with \(\alpha (t)\) equal to 0 for \(t<1/2\) and equal to 1 for \(t>1\). For \(0<\eta < \min (\frac{t_0}{2},T-t_1) \), we define
We take as well a non-negative function \(\phi \in {\mathcal {D}}({\mathbb {R}}^3)\) which is equal to 1 for \(\vert x\vert \leqq 1\) and to 0 for \(\vert x\vert \geqq 2\). For \(R>0\), we define \(\phi _R(x)=\phi (\frac{x}{R})\). Finally, we define, for \(\varepsilon >0\), \(w_{\gamma ,\varepsilon }= \left( 1+\sqrt{\varepsilon ^2+\vert x\vert ^2} \right) ^{-\gamma }\). We have \(\alpha _{\eta ,t_0,t_1}(t)\phi _R(x) w_{\gamma ,\varepsilon }(x)\in {\mathcal {D}}((0,T)\times {\mathbb {R}}^3)\) and \(\alpha _{\eta ,t_0,t_1}(t)\phi _R(x) w_{\gamma ,\varepsilon }(x) \geqq 0\). Thus, using the local energy balance (1) and the fact that \(\mu \geqq 0\), we find
We remark that, independently of \(R>1\) and \(\varepsilon >0\), we have (for \(0<\gamma \leqq 2\))
Moreover, we know that \(\mathbf{u}\) belongs to \(L^\infty ((0,T),L^2_{w_\gamma })\cap L^2((0,T), L^6_{w_{3\gamma }})\) hence to \(L^4((0,T),L^3_{w_{3\gamma /2}})\). Since \(T<+\infty \), we have as well \(\mathbf{u}\in L^3((0,T), L^3_{w_{3\gamma /2}})\). (This is the same type of integrability as required for \(\mathbf{b}\)). Moreover, we have \(p u_i\in L^1_{w_{3\gamma /2}}\) since \(w_\gamma p\in L^2 ((0,T), L^{6/5}+L^2)\) and \(w_{\gamma /2} \mathbf{u}\in L^2((0,T), L^2\cap L^6)\). All those remarks will allow us to use dominated convergence.
We first let \(\eta \) go to 0. We find that
Let us define
As we have
we find that, when \(t_0\) and \(t_1\) are Lebesgue points of the measurable function \(A_{R,\varepsilon }\)
Then, by continuity, we can let \(t_0\) go to 0 and thus replace \(t_0\) by 0 in the inequality. Moreover, if we let \(t_1\) go to t, then by weak continuity, we find that \( A_{R,\varepsilon }(t)\leqq \lim _{t_1\rightarrow t } A_{R,\varepsilon }(t_1)\), so that we may as well replace \(t_1\) by \(t\in (0,T)\). Thus we find that for every \(t\in (0,T)\), we have
Thus, letting R go to \(+\infty \) and then \(\varepsilon \) go to 0, we find by dominated convergence that, for every \(t\in (0,T)\), we have
Now we write
Writing
and using the fact that \(w_{6\gamma /5}\in {\mathcal {A}}_{6/5}\) and \(w_\gamma \in {\mathcal {A}}_2\), we get
and
Finally, we have
We have obtained
and Theorem 2 is proven. \(\quad \square \)
4.2 Passive Transportation
From inequality (7), we have the following direct consequence:
Corollary 4
Under the assumptions of Theorem 2, we have
and
where the constant \(C_\gamma \) depends only on \(\gamma \).
Another direct consequence is the following uniqueness result for the advection-diffusion problem with a (locally in time), bounded \(\mathbf{b}\):
Corollary 5
Let \(0<\gamma < 2\). Let \(0<T<+\infty \). Let \(\mathbf{u}_{0}\) be a divergence-free vector field such that \(\mathbf{u}_0\in L^2_{w_\gamma }({\mathbb {R}}^3)\) and \({\mathbb {F}}\) be a tensor \({\mathbb {F}}(t,x)=\left( F_{i,j}(t,x)\right) _{1\leqq i,j\leqq 3}\) such that \({\mathbb {F}}\in L^2((0,T), L^2_{w_\gamma })\). Let \(\mathbf{b}\) be a time-dependent divergence free vector-field (\(\mathbf{\nabla }\cdot \mathbf{b}=0\)) such that \(\mathbf{b}\in L^3((0,T),L^3_{w_{3\gamma /2}})\). Assume moreover that \(\mathbf{b}\) belongs to \(L^2_t L^\infty _x(K)\) for every compact subset K of \((0,T)\times {\mathbb {R}}^3 \).
Let \((\mathbf{u}_1, p_1)\) and \((\mathbf{u}_2,p_2)\) be two solutions of the following advection-diffusion problem:
such that, for \(k=1\) and \(k=2\),
\(\mathbf{u}_k\) belongs to \(L^\infty ((0,T), L^2_{w_\gamma })\) and \(\mathbf{\nabla }\mathbf{u}_k\) belongs to \(L^2((0,T),L^2_{w_\gamma })\);
the pressure \(p_k\) is related to \(\mathbf{u}_k\), \(\mathbf{b}\) and \({\mathbb {F}}\) through the Riesz transforms \(R_i =\frac{\partial _i}{\sqrt{-\Delta }}\) by the formula
$$\begin{aligned} p_k=\sum _{i=1}^3\sum _{j=1}^3 R_iR_j(b_iu_{k,j}-F_{i,j}); \end{aligned}$$the map \(t\in [0,T)\mapsto \mathbf{u}_k(t,.)\) is weakly continuous from [0, T) to \(L^2_{w_\gamma }\), and is strongly continuous at \(t=0\) :
$$\begin{aligned} \lim _{t\rightarrow 0} \Vert \mathbf{u}_k(t,.)-\mathbf{u}_0\Vert _{L^2_{w_\gamma }}=0. \end{aligned}$$
Then \(\mathbf{u}_1=\mathbf{u}_2\).
Proof
Let \(\mathbf{v}=\mathbf{u}_1-\mathbf{u}_2\) and \(q=p_1-p_2\). Then we have
Moreover on every compact subset K of \((0,T)\times {\mathbb {R}}^3\), \(\mathbf{b}\otimes \mathbf{v}\) is in \(L^2_t L^2_x\), while it belongs globally to \(L^{3}_t L^{6/5}_{w_{6\gamma /5}}\). Writing, for \(\varphi , \psi \in {\mathcal {D}}((0,T)\times {\mathbb {R}}^3)\) such that \(\psi =1\) on the neigborhood of the support of \(\varphi \),
we find that \(\Vert q_1\Vert _{L^2L^2}\leqq C_{\varphi ,\psi } \Vert \psi \mathbf{b}\otimes \mathbf{v}\Vert _{L^2 L^2}\) and
with
Thus, we may take the scalar product of \(\partial _t \mathbf{v}\) with \(\mathbf{v}\) and find that
Thus we are under the assumptions of Theorem 2 and we may use Corollary 4 to find that \(\mathbf{v}=0\). \(\quad \square \)
4.3 Active Transportation
We begin with the following lemma:
Lemma 4
Let \(\alpha \) be a non-negative bounded measurable function on [0, T) such that, for two constants \(A,B\geqq 0\), we have
If \(T_0>0\) and \(T_1=\min (T,T_0, \frac{1}{8B (A+2BT_0)^2})\), we have, for every \(t\in [0,T_1]\), \(\alpha (t)\leqq \sqrt{ 2} (A+2BT_0)\).
Proof
We write \(\alpha \leqq 1+\alpha ^3\). We define
We have, for \(t\in [0,T_1]\), \(\alpha \leqq \Phi \leqq \Psi \). Since \(\Psi \) is \({\mathcal {C}}^1\), we may write
and thus
We thus find
The lemma is proven. \(\quad \square \)
Corollary 6
Assume that \(\mathbf{u}_0\), \(\mathbf{u}\), p, \({\mathbb {F}}\) and \(\mathbf{b}\) satisfy assumptions of Theorem 2. Assume moreover that \(\mathbf{b}\) is the inequality in the next line expresses in which way \(\mathbf {b}\) is controlled by \(\mathbf{u}\): for every \(t\in (0,T)\),
Then there exists a constant \(C_\gamma \geqq 1\) such that if \(T_0<T\) is such that
then
and
Proof
We start from inequality (7):
We write
This gives
For \(t\leqq T_0\), we get
and we may conclude with Lemma 4. \(\quad \square \)
5 Stability of Solutions for the Advection-Diffusion Problem
5.1 The Rellich Lemma
We recall the Rellich lemma:
Lemma 5
(Rellich) If \(s>0\) and \( (f_n)\) is a sequence of functions on \({\mathbb {R}}^d\) such that
the family \((f_n)\) is bounded in \(H^s({\mathbb {R}}^d)\),
there is a compact subset of \({\mathbb {R}}^d\) such that the support of each \(f_n\) is included in K,
then there exists a subsequence \((f_{n_k})\) such that \(f_{n_k}\) is strongly convergent in \(L^2({\mathbb {R}}^d)\).
We shall use a variant of this lemma (see [9]):
Lemma 6
(space-time Rellich) If \(s>0\), \(\sigma \in {\mathbb {R}}\) and \( (f_n)\) is a sequence of functions on \((0,T)\times {\mathbb {R}}^d\) such that, for all \(T_0\in (0,T)\) and all \(\varphi \in {\mathcal {D}}({\mathbb {R}}^3)\),
\(\varphi f_n\) is bounded in \(L^2((0,T_0), H^s)\),
\(\varphi \partial _t f_n\) is bounded in \(L^2((0,T_0), H^\sigma )\),
then there exists a subsequence \((f_{n_k})\) such that \(f_{n_k}\) is strongly convergent in \(L^2_\mathrm{loc}([0,T)\times {\mathbb {R}}^3)\) : if \(f_\infty \) is the limit, we have for all \(T_0\in (0,T)\) and all \(R_0>0\)
Proof
With no loss of generality, we may assume that \(\sigma <\min (1,s)\). Define g by \(g_n(t,x)=\alpha (t)\varphi (x) f_n(t,x)\) if \(t>0\) and \(g_n(t,x)=\alpha (t)\varphi (x) f_n(-t,x)\) if \(t<0\), where \(\alpha \in {\mathcal {C}}^\infty \) on (0, T), is equal to 1 on \([0,T_0]\) and equal to 0 for \(t> \frac{T+T_0}{2}\), and \(\varphi (x)=1\) on \(B(0,R_0)\). Then the support of \(g_n\) is contained in \([-\frac{T+T_0}{2},\frac{T+T_0}{2}]\times \mathrm{Supp} \,\varphi \). Moreover, \(g_n\) is bounded in \(L^2_t H^s\) and \(\partial _t g_n\) is bounded in \(L^2 H^\sigma \) so that \(g_n \) is bounded in \(H^\rho ({\mathbb {R}}\times {\mathbb {R}}^3)\) with \(\rho = \frac{s}{s+1-\sigma }\) (just write \((1+\tau ^2+\xi ^2)^{\frac{s}{s+1-\sigma }} \leqq \left( (1+\tau ^2)(1+\xi ^2)^\sigma \right) ^{\frac{s}{s+1-\sigma }} \left( (1+\xi ^2)^s\right) ^{\frac{1-\sigma }{s+1-\sigma }}\)). By the Rellich lemma, we know that there is a subsequence \(g_{n_k}\) which is strongly convergent in \(L^2({\mathbb {R}}\times {\mathbb {R}}^3)\), thus a subsequence \(f_{n_k}\) which is strongly convergent in \(L^2((0,T_0)\times B(0,R_0))\).
We then iterate this argument for an increasing sequence of times \(T_0<T_1<\dots <T_N\rightarrow T\) and an increasing sequence of radii \(R_0<R_1<\dots <R_N\rightarrow +\infty \) and finish the proof by the classical diagonal process of Cantor. \(\quad \square \)
5.2 Proof of Theorem 3
Assume that \(\mathbf{u}_{0,n}\) is strongly convergent to \(\mathbf{u}_{0,\infty }\) in \(L^2_{w_\gamma }\) and that the sequence \({\mathbb {F}}_n\) is strongly convergent to \({\mathbb {F}}_\infty \) in \(L^2((0,T), L^2_{w_\gamma })\), and assume that the sequence \(\mathbf{b}_n\) is bounded in \(L^3((0,T), L^3_{w_{3\gamma /2}})\). Then, by Theorem 2 and Corollary 4, we know that \(\mathbf{u}_n\) is bounded in \(L^\infty ((0,T), L^2_{w_\gamma })\) and \(\mathbf{\nabla }\mathbf{u}_n\) is bounded in \(L^2((0,T), L^2_{w_\gamma })\). In particular, writing \(p_n=p_{n,1}+ p_{n,2}\) with
we get that \(p_{n,1}\) is bounded in \(L^{3}((0,T),L^{6/5}_{w_{\frac{6\gamma }{5}}})\) and \(p_{n,2}\) is bounded in \(L^{2}((0,T),L^{2}_{w_\gamma })\).
If \(\varphi \in {\mathcal {D}}({\mathbb {R}}^3)\), we find that \(\varphi \mathbf{u}_n\) is bounded in \(L^2((0,T), H^1)\) and, writing
\(\varphi \partial _t\mathbf{u}_n\) is bounded in \(L^2 L^2 + L^2 W^{-1,6/5}+ L^2 H^{-1}\subset L^2((0,T), H^{-2})\). Thus, by Lemma 6, there exist \(\mathbf{u}_\infty \) and an increasing sequence \((n_k)_{k\in {\mathbb {N}}}\) with values in \({\mathbb {N}}\) such that \(\mathbf{u}_{n_k}\) converges strongly to \(\mathbf{u}_\infty \) in \(L^2_\mathrm{loc}([0,T)\times {\mathbb {R}}^3)\), and for every \(T_0\in (0,T)\) and every \(R>0\), we have
As \(\mathbf{u}_n\) is bounded in \(L^\infty ((0,T), L^2_{w_\gamma })\) and \(\mathbf{\nabla }\mathbf{u}_n\) is bounded in \(L^2((0,T), L^2_{w_\gamma })\), the convergence of \(\mathbf{u}_{n_k}\) to \(\mathbf{u}_\infty \) in \({\mathcal {D}}'((0,T)\times {\mathbb {R}}^3)\) implies that \(\mathbf{u}_{n_k}\) converges *-weakly to \(\mathbf{u}_\infty \) in \(L^\infty ((0,T), L^2_{w_\gamma })\) and \(\mathbf{\nabla }\mathbf{u}_{n_k}\) converges weakly to \(\mathbf{\nabla }\mathbf{u}_\infty \) in \(L^2((0,T),L^2_{w_\gamma })\).
By Banach–Alaoglu’s theorem, we may assume that there exists \(\mathbf{b}_\infty \) such that \(\mathbf{b}_{n_k}\) converges weakly to \(\mathbf{b}_\infty \) in \(L^3((0,T), L^3_{w_{3\gamma /2}})\). In particular \(b_{n_k,i} u_{n_k,j}\) is weakly convergent in \((L^{6/5}L^{6/5})_\mathrm{loc}\) and thus in \({\mathcal {D}}'((0,T)\times {\mathbb {R}}^3)\); as it is bounded in \(L^{3}((0,T),L^{6/5}_{w_{\frac{6\gamma }{5}}})\), it is weakly convergent in \(L^{3}((0,T),L^{6/5}_{w_{\frac{6\gamma }{5}}})\) to \(b_{\infty ,i}u_{\infty ,j}\). Let
As the Riesz transforms are bounded on \(L^{6/5}_{w_{\frac{6\gamma }{5}}}\) and on \(L^2_{w_\gamma }\), we find that \(p_{n_k,1}\) is weakly convergent in \(L^{3}((0,T),L^{6/5}_{w_{\frac{6\gamma }{5}}})\) to \(p_{\infty ,1}\) and that \(p_{n_k,2}\) is strongly convergent in \(L^2((0,T),L^2_{w_\gamma })\) to \(p_{\infty ,2}\).
In particular, we find that in \({\mathcal {D}}'((0,T)\times {\mathbb {R}}^3)\),
In particular, \(\partial _t\mathbf{u}_\infty \) is locally in \(L^2 H^{-2}\), and thus \(\mathbf{u}_\infty \) has representative such that \(t\mapsto \mathbf{u}_\infty (t,.)\) is continuous from [0, T) to \({\mathcal {D}}'({\mathbb {R}}^3)\) and coincides with \(\mathbf{u}_\infty (0,.)+\int _0^t \partial _t \mathbf{u}_\infty \, \mathrm{d}s\). In \({\mathcal {D}}'((0,T)\times {\mathbb {R}}^3)\), we have that
Thus, \(\mathbf{u}_\infty (0,.)=\mathbf{u}_{0,\infty }\), and \(\mathbf{u}_\infty \) is a solution of \((AD_\infty )\).
Next, we define
As \(\mathbf{u}_n\) is bounded in \(L^\infty ((0,T), L^2_{w_\gamma })\) and \(\mathbf{\nabla }\mathbf{u}_n\) is bounded in \(L^2((0,T), L^2_{w_\gamma })\), it is bounded in \(L^2((0,T), L^6_{w_{3\gamma /2}})\) and by interpolation with \(L^\infty ((0,T), L^2_{w_\gamma })\) it is bounded in \(L^{10/3}((0,T), L^{10/3}_{w_{5\gamma /3}})\). Thus, \(u_{n_k}\) is locally bounded in \(L^{10/3}L^{10/3}\) and locally strongly convergent in \(L^2 L^2\); it is then strongly convergent in \(L^3 L^3\). Thus, \(A_{n_k}\) is convergent in \({\mathcal {D}}'((0,T)\times {\mathbb {R}}^3)\) to
In particular, \(A_\infty =\lim _{n_k\rightarrow +\infty } \vert \mathbf{\nabla }\mathbf{u}_{n_k}\vert ^2 +\mu _{n_k}\). If \(\Phi \in {\mathcal {D}}((0,T)\times {\mathbb {R}}^3)\) is non-negative, we have
(since \(\sqrt{\Phi }\mathbf{\nabla }\mathbf{u}_{n_k}\) is weakly convergent to \(\sqrt{\Phi }\mathbf{\nabla }\mathbf{u}_\infty \) in \(L^2L^2\)). Thus, there exists a non-negative locally finite measure \(\mu _\infty \) on \((0,T)\times {\mathbb {R}}^3\) such that \(A_\infty =\vert \mathbf{\nabla }\mathbf{u}_\infty \vert ^2 +\mu _\infty \), that is such that
Finally, we start from inequality (6):
This gives
As we have
we see that \(\mathbf{u}_{n_k}(t,.)\) is convergent to \(\mathbf{u}_\infty (t,.)\) in \({\mathcal {D}}'({\mathbb {R}}^3)\), hence is weakly convergent in \(L^2_\mathrm{loc}\) (as it is bounded in \(L^2_{w_\gamma }\)), so that:
Similarly, as \(\mathbf{\nabla }\mathbf{u}_{n_k}\) is weakly convergent in \(L^2L^2_{w_\gamma }\), we have
Thus, letting R go to \(+\infty \) and then \(\varepsilon \) go to 0, we find by dominated convergence that, for every \(t\in (0,T)\), we have
Letting t go to 0, we find
On the other hand, we know that \(\mathbf{u}_\infty \) is weakly continuous in \(L^2_{w_\gamma }\) and thus we have
This gives \( \Vert \mathbf{u}_{0,\infty } \Vert _{L^2_{w_\gamma }}^2 = \lim _{t\rightarrow 0} \Vert \mathbf{u}_\infty (t,. )\Vert _{L^2_{w_\gamma }}^2 \), which allows to turn the weak convergence into a strong convergence. Theorem 3 is proven. \(\quad \square \)
6 Solutions of the Navier–Stokes Problem with Initial Data in \(\varvec{L}^{\varvec{2}}_{\varvec{w}_{\varvec{\gamma }}}\)
We now prove Theorem 1. The idea is to approximate the problem by a Navier–Stokes problem in \(L^2\), then use the a priori estimates (Theorem 2) and the stability theorem (Theorem 3) to find a solution to the Navier–Stokes problem with data in \(L^2_{w_\gamma })\).
6.1 Approximation by Square Integrable Data
Lemma 7
(Leray’s projection operator) Let \(0<\delta <3\) and \(1<r<+\infty \). If \(\mathbf{v}\) is a vector field on \({\mathbb {R}}^3\) such that \(\mathbf{v}\in L^r_{w_{\delta }}\), then there exists a unique decompostion
such that
\(\mathbf{v}_\sigma \in L^r_{w_\delta }\) and \(\mathbf{\nabla }\cdot \mathbf{v}_\sigma =0\),
\(\mathbf{v}_\nabla \in L^r_{w_\delta }\) and \(\mathbf{\nabla }\wedge \mathbf{v}_\nabla =0\).
We shall write \(\mathbf{v}_\sigma ={\mathbb {P}}\mathbf{v}\), where \({\mathbb {P}}\) is Leray’s projection operator.
Similarly, if \(\mathbf{v}\) is a distribution vector field of the type \(\mathbf{v}=\mathbf{\nabla }\cdot {\mathbb {G}}\) with \({\mathbb {G}}\in L^r_{w_\delta }\) then there exists a unique decompostion
such that
there exists \({\mathbb {H}}\in L^r_{w_\delta }\) such that \(\mathbf{v}_\sigma \ = \mathbf{\nabla }\cdot {\mathbb {H}}\) and \(\mathbf{\nabla }\cdot \mathbf{v}_\sigma =0\),
there exists \(q\in L^r_{w_\delta }\) such that \(\mathbf{v}_\nabla =\mathbf{\nabla }q\) (and thus \(\mathbf{\nabla }\wedge \mathbf{v}_\nabla =0\)).
We shall still write \(\mathbf{v}_\sigma ={\mathbb {P}}\mathbf{v}\). Moreover, the function q is given by
Proof
As \(w_\delta \in {\mathcal {A}}_r\) the Riesz transforms are bounded on \(L^r_{w_\delta }\). Using the identity
we find (if the decomposition exists) that
This proves the uniqueness. By linearity, we just have to prove that \(\mathbf{v}=0\implies \mathbf{v}_\nabla =0\). We have \(\Delta \mathbf{v}_\nabla =0\), and thus \(\mathbf{v}_\nabla \) is harmonic; as it belongs to \({\mathcal {S}}'\), we find that it is a polynomial. But a polynomial which belongs to \(L^r_{w_\delta }\) must be equal to 0. Similarly, if \(\mathbf{v}_\nabla =\mathbf{\nabla }q\), then \(\Delta q=\mathbf{\nabla }\cdot \mathbf{v}_\nabla =\mathbf{\nabla }\cdot \mathbf{v}=0\); thus q is harmonic and belongs to \(L^r_{w_\delta }\), hence \(q=0\).
For the existence, it is enough to check that \(v_{\nabla ,i} =-\sum _{j=1}^3 R_iR_j v_j \) in the first case and \(\mathbf{v}_\nabla =\mathbf{\nabla }q\) with \(q= \sum _{i=1}^3\sum _{j=1}^3 R_i R_j (G_{i,j})\) in the second case fulfill the conclusions of the lemma. \(\quad \square \)
Lemma 8
Let \(0<\gamma < 2\). Let \(\mathbf{u}_{0}\) be a divergence-free vector field such that \(\mathbf{u}_0\in L^2_{w_\gamma }({\mathbb {R}}^3)\) and \({\mathbb {F}}\) be a tensor \({\mathbb {F}}(t,x)=\left( F_{i,j}(t,x)\right) _{1\leqq i,j\leqq 3}\) such that \({\mathbb {F}}\in L^2((0,+\infty ), L^2_{w_\gamma })\). Let \(\phi \in {\mathcal {D}}({\mathbb {R}}^3)\) be a non-negative function which is equal to 1 for \(\vert x\vert \leqq 1\) and to 0 for \(\vert x\vert \geqq 2\). For \(R>0\), we define \(\phi _R(x)=\phi (\frac{x}{R})\), \(\mathbf{u}_{0,R}={\mathbb {P}}(\phi _R \mathbf{u}_0)\) and \({\mathbb {F}}_R=\phi _R {\mathbb {F}}\). Then \(\mathbf{u}_{0,R}\) is a divergence-free square integrable vector field and \(\lim _{R\rightarrow +\infty } \Vert \mathbf{u}_{0,R}-\mathbf{u}_0\Vert _{L^2_{w_\gamma }}=0\). Similarly, \({\mathbb {F}}_R\) belongs to \(L^2 L^2\) and \(\lim _{R\rightarrow +\infty } \Vert {\mathbb {F}}_R-{\mathbb {F}}\Vert _{L^2((0,+\infty ),L^2_{w_\gamma })}=0\).
Proof
By dominated convergence, we have \(\lim _{R\rightarrow +\infty } \Vert \phi _R \mathbf{u}_0-\mathbf{u}_0\Vert _{L^2_{w_\gamma }}=0\). We conclude by writing \(\mathbf{u}_{0,R}-\mathbf{u}_0={\mathbb {P}}(\phi _R\mathbf{u}_0-\mathbf{u}_0)\). \(\quad \square \)
6.2 Leray’s Mollification
We want to solve the Navier–Stokes equations with initial value \(\mathbf{u}_0\):
We begin with Leray’s method [11] for solving the problem in \(L^2\):
The idea of Leray is to mollify the non-linearity by replacing \(\mathbf{u}_R\cdot \mathbf{\nabla }\) by \((\mathbf{u}_R*\theta _\varepsilon )\cdot \mathbf{\nabla }\), where \(\theta (x)=\frac{1}{\varepsilon ^3}\theta (\frac{x}{\varepsilon })\), \(\theta \in {\mathcal {D}}({\mathbb {R}}^3)\), \(\theta \) is non-negative and radially decreasing and \(\int \theta \, \mathrm{d}x=1\). We thus solve the problem
The classical result of Leray states that the problem \((NS_{R,\varepsilon })\) is well-posed:
Lemma 9
Let \(\mathbf{v}_0\in L^2\) be a divergence-free vector field. Let \({\mathbb {G}}\in L^2((0,+\infty ), L^2)\). Then the problem
has a unique solution \(\mathbf{v}_\varepsilon \) in \(L^\infty ((0,+\infty ), L^2)\cap L^2((0,+\infty ),\dot{H}^1)\). Moreover, this solution belongs to \({\mathcal {C}}([0,+\infty ), L^2)\).
6.3 Proof of Theorem 1 (Local Existence)
We use Lemma 9 and find a solution \(\mathbf{u}_{R,\varepsilon }\) to the problem \((NS_{R,\varepsilon })\). Then we check that \(\mathbf{u}_{R,\varepsilon }\) fulfills the assumptions of Theorem 2 and of Corollary 6:
\(\mathbf{u}_{R,\varepsilon }\) belongs to \(L^\infty ((0,T), L^2_{w_\gamma })\) and \(\mathbf{\nabla }\mathbf{u}_{R,\varepsilon }\) belongs to \(L^2((0,T),L^2_{w_\gamma })\);
the map \(t\in [0,+\infty )\mapsto \mathbf{u}_{R, \varepsilon } (t,.)\) is weakly continuous from \([0,+\infty )\) to \(L^2_{w_\gamma }\), and is strongly continuous at \(t=0\) :
$$\begin{aligned} \lim _{t\rightarrow 0} \Vert \mathbf{u}_{R,\varepsilon } (t,.)-\mathbf{u}_{0, R}\Vert _{L^2_{w_\gamma }}=0, \end{aligned}$$on \((0,T)\times {\mathbb {R}}^3\), \(\mathbf{u}_{R,\varepsilon }\) fulfills the energy equality
$$\begin{aligned} \partial _t\Big (\frac{\vert \mathbf{u}_{R,\varepsilon }\vert ^2}{2}\Big )= & {} \Delta \Big (\frac{\vert \mathbf{u}_{R,\varepsilon }\vert ^2}{2}\Big )-\vert \mathbf{\nabla }\mathbf{u}_{R,\varepsilon }\vert ^2\\&- \mathbf{\nabla }\cdot \left( \frac{\vert \mathbf{u}\vert ^2}{2}\mathbf{b}_{R,\varepsilon }\right) \\&-\mathbf{\nabla }\cdot (p_{R,\varepsilon }\mathbf{u}_{R,\varepsilon }) + \mathbf{u}_{R,\varepsilon }\cdot (\mathbf{\nabla }\cdot {\mathbb {F}}_R). \end{aligned}$$with \(\mathbf{b}_{R,\varepsilon }=\mathbf{u}_{R,\varepsilon }*\theta _\varepsilon \);
\(\mathbf{b}_{R,\varepsilon }\) is controlled by \(\mathbf{u}_{R,\varepsilon }\) : for every \(t\in (0,T)\),
$$\begin{aligned} \Vert \mathbf{b}_{R,\varepsilon }(t,.)\Vert _{L^3_{w_{3\gamma /2}}}\leqq \Vert {\mathcal {M}}_{\mathbf{u}_{R,\varepsilon }(t,.)}\Vert _{L^3_{w_{3\gamma /2}}} \leqq C_0 \Vert \mathbf{u}_{R,\varepsilon }(t,.)\Vert _{L^3_{w_{3\gamma /2}}}. \end{aligned}$$
Thus, we know that, for every time \(T_0\) such that
we have
and
Moreover, we have that
so that
Let \(R_n\rightarrow +\infty \) and \(\varepsilon _n\rightarrow 0\). Let \(\mathbf{u}_{0,n}=\mathbf{u}_{0,R_n}\), \({\mathbb {F}}_n={\mathbb {F}}_{R_n}\), \(\mathbf{b}_n=\mathbf{b}_{R_n,\varepsilon _n}\) and \(\mathbf{u}_n=\mathbf{u}_{R_n,\varepsilon _n}\). We may then apply Theorem 3, since \(\mathbf{u}_{0,n}\) is strongly convergent to \(\mathbf{u}_{0}\) in \(L^2_{w_\gamma }\), \({\mathbb {F}}_n\) is strongly convergent to \({\mathbb {F}}\) in \(L^2((0,T_0), L^2_{w_\gamma })\), and the sequence \(\mathbf{b}_n\) is bounded in \(L^3((0,T_0), L^3_{w_{3\gamma /2}})\). Thus there exists p, \(\mathbf{u}\), \(\mathbf{b}\) and an increasing sequence \((n_k)_{k\in {\mathbb {N}}}\) with values in \({\mathbb {N}}\) such that
\(\mathbf{u}_{n_k}\) converges *-weakly to \(\mathbf{u}\) in \(L^\infty ((0,T_0), L^2_{w_\gamma })\), \(\mathbf{\nabla }\mathbf{u}_{n_k}\) converges weakly to \(\mathbf{\nabla }\mathbf{u}\) in \(L^2((0,T_0),L^2_{w_\gamma })\);
\(\mathbf{b}_{n_k}\) converges weakly to \(\mathbf{b}\) in \(L^3((0,T_0), L^3_{w_{3\gamma /2}})\), \(p_{n_k}\) converges weakly to p in \(L^{3}((0,T_0),L^{6/5}_{w_{\frac{6\gamma }{5}}})+L^{2}((0,T_0),L^{2}_{w_\gamma })\);
\(\mathbf{u}_{n_k}\) converges strongly to \(\mathbf{u}\) in \(L^2_\mathrm{loc}([0,T_0)\times {\mathbb {R}}^3)\).
Moreover, \(\mathbf{u}\) is a solution of the advection-diffusion problem
and is such that
the map \(t\in [0,T_0)\mapsto \mathbf{u}(t,.)\) is weakly continuous from \([0,T_0)\) to \(L^2_{w_\gamma }\), and is strongly continuous at \(t=0\) :
$$\begin{aligned} \lim _{t\rightarrow 0} \Vert \mathbf{u}(t,.)-\mathbf{u}_{0}\Vert _{L^2_{w_\gamma }}=0; \end{aligned}$$there exists a non-negative locally finite measure \(\mu \) on \((0,T_0)\times {\mathbb {R}}^3\) such that
$$\begin{aligned} \partial _t\Big (\frac{\vert \mathbf{u}\vert ^2}{2}\Big )=\Delta \Big (\frac{\vert \mathbf{u}\vert ^2}{2}\Big )-\vert \mathbf{\nabla }\mathbf{u}\vert ^2- \mathbf{\nabla }\cdot \left( \frac{\vert \mathbf{u}\vert ^2}{2}\mathbf{b}\right) -\mathbf{\nabla }\cdot (p \mathbf{u}) + \mathbf{u}\cdot (\mathbf{\nabla }\cdot {\mathbb {F}})-\mu , \end{aligned}$$
Finally, as \(\mathbf{b}_n=\theta _{\varepsilon _n}*(\mathbf{u}_n-\mathbf{u})+ \theta _{\varepsilon _n}*\mathbf{u}\), we see that \(\mathbf{b}_{n_k}\) is strongly convergent to \(\mathbf{u}\) in \(L^3_\mathrm{loc}([0,T_0)\times {\mathbb {R}}^3)\), so that \(\mathbf{b}=\mathbf{u}\) : thus, \(\mathbf{u}\) is a solution of the Navier–Stokes problem on \((0,T_0)\). (It is easy to check that
as \(u_{i,n_k} u_{j,n_k}\) is weakly convergent to \(u_i u_j\) in \(L^{4}((0,T_0),L^{6/5}_{w_{\frac{6\gamma }{5}}})\) and \(w_{\frac{6\gamma }{5}} \in {\mathcal {A}}_{6/5}\).)
6.4 Proof of Theorem 1 (Global Existence)
In order to finish the proof, we shall use the scaling properties of the Navier–Stokes equations : if \(\lambda >0\), then \(\mathbf{u}\) is a solution of the Cauchy initial value problem for the Navier–Stokes equations on (0, T) with initial value \(\mathbf{u}_0\) and forcing tensor \({\mathbb {F}}\) if and only if \(\mathbf{u}_\lambda (t,x)=\lambda \mathbf{u}(\lambda ^2 t,\lambda x)\) is a solution of the Navier–Stokes equations on \((0,T/\lambda ^2)\) with initial value \(\mathbf{u}_{0,\lambda }(x)=\lambda \mathbf{u}_0(\lambda x)\) and forcing tensor \({\mathbb {F}}_\lambda (t,x)=\lambda ^2 {\mathbb {F}}(\lambda ^2 t,\lambda x)\).
We take \(\lambda >1\) and for \(n\in {\mathbb {N}}\) we consider the Navier–Stokes problem with initial value \(\mathbf{v}_{0,n}=\lambda ^n \mathbf{u}_0(\lambda ^n \cdot )\) and forcing tensor \({\mathbb {F}}_n=\lambda ^{2n}{\mathbb {F}}(\lambda ^{2n} \cdot , \lambda ^n \cdot )\). Then we have seen that we can find a solution \(\mathbf{v}_n\) on \((0,T_n)\), with
Of course, we have \(\mathbf{v}_n(t,x)=\lambda ^{n}\mathbf{u}_n(\lambda ^{2n}t,\lambda ^n x)\) where \(\mathbf{u}_n\) is a solution of the Navier–Stokes equations on \((0,\lambda ^{2n}T_n)\) with initial value \(\mathbf{u}_0\) and forcing tensor \({\mathbb {F}}\).
Lemma 10
Proof
We have
We have
as \(\gamma \leqq 2\) and we have, by dominated convergence,
Similarly, we have
Thus, \(\lim _{n\rightarrow +\infty } \lambda ^{2n} T_n=+\infty \).
Now, for a given \(T>0\), if \( \lambda ^{2n}T_n>T\) for \(n\geqq n_T\), then \(\mathbf{u}_n\) is a solution of the Navier-Stokes problem on (0, T). Let \(\mathbf{w}_n(t,x)=\lambda ^{n_T} \mathbf{u}_n(\lambda ^{2n_T}t, \lambda ^{n_T}x)\). For \(n\geqq n_T\), \(\mathbf{w}_n\) is a solution of the Navier-Stokes problem on \((0,\lambda ^{-2n_T} T)\) with initial value \(\mathbf{v}_{0,n_T}\) and forcing tensor \({\mathbb {F}}_{n_T}\). As \(\lambda ^{-2n_T}T\leqq T_{n_T}\), we have
By Corollary 6, we have
and
We have
and
Thus, we have a uniform control of \(\mathbf{u}_n\) and of \(\mathbf{\nabla }\mathbf{u}_n\) on (0, T) for \(n\geqq n_T\). We may then apply the Rellich lemma (Lemma 6) and Theorem 3 to find a subsequence \(\mathbf{u}_{n_k} \) that converges to a global solution of the Navier–Stokes equations. Theorem 1 is proven. \(\quad \square \)
7 Solutions of the Advection-Diffusion Problem with Initial Data in \(L^2_{w_\gamma }\)
The proof of Theorem 1 on the Navier–Stokes problem can be easily adapted to the case of the advection-diffusion problem:
Theorem 4
Let \(0<\gamma \leqq 2\). Let \(0<T<+\infty \). Let \(\mathbf{u}_{0}\) be a divergence-free vector field such that \(\mathbf{u}_0\in L^2_{w_\gamma }({\mathbb {R}}^3)\) and \({\mathbb {F}}\) be a tensor \({\mathbb {F}}(t,x)=\left( F_{i,j}(t,x)\right) _{1\leqq i,j\leqq 3}\) such that \({\mathbb {F}}\in L^2((0,T), L^2_{w_\gamma })\). Let \(\mathbf{b}\) be a time-dependent divergence free vector-field (\(\mathbf{\nabla }\cdot \mathbf{b}=0\)) such that \(\mathbf{b}\in L^3((0,T),L^3_{w_{3\gamma /2}})\).
Then the advection-diffusion problem
has a solution \(\mathbf{u}\) such that:
\(\mathbf{u}\) belongs to \(L^\infty ((0,T), L^2_{w_\gamma })\) and \(\mathbf{\nabla }\mathbf{u}\) belongs to \(L^2((0,T),L^2_{w_\gamma })\);
the pressure p is related to \(\mathbf{u}\), \(\mathbf{b}\) and \({\mathbb {F}}\) through the Riesz transforms \(R_i =\frac{\partial _i}{\sqrt{-\Delta }}\) by the formula
$$\begin{aligned} p=\sum _{i=1}^3\sum _{j=1}^3 R_iR_j(b_iu_j-F_{i,j}); \end{aligned}$$the map \(t\in [0,T)\mapsto \mathbf{u}(t,.)\) is weakly continuous from [0, T) to \(L^2_{w_\gamma }\), and is strongly continuous at \(t=0\):
$$\begin{aligned} \lim _{t\rightarrow 0} \Vert \mathbf{u}(t,.)-\mathbf{u}_0\Vert _{L^2_{w_\gamma }}=0; \end{aligned}$$there exists a non-negative locally finite measure \(\mu \) on \((0,T)\times {\mathbb {R}}^3\) such that
$$\begin{aligned} \partial _t\Big (\frac{\vert \mathbf{u}\vert ^2}{2}\Big )=\Delta \Big (\frac{\vert \mathbf{u}\vert ^2}{2}\Big )-\vert \mathbf{\nabla }\mathbf{u}\vert ^2- \mathbf{\nabla }\cdot \left( \frac{\vert \mathbf{u}\vert ^2}{2}\mathbf{b}\right) -\mathbf{\nabla }\cdot (p\mathbf{u}) + \mathbf{u}\cdot (\mathbf{\nabla }\cdot {\mathbb {F}})-\mu . \end{aligned}$$
Proof
Again, we define \(\phi _R(x)=\phi (\frac{x}{R})\), \(\mathbf{u}_{0,R}={\mathbb {P}}(\phi _R \mathbf{u}_0)\) and \({\mathbb {F}}_R=\phi _R {\mathbb {F}}\). Moreover, we define \(\mathbf{b}_R={\mathbb {P}}(\phi _R \mathbf{b})\). We then solve the mollified problem
for which we easily find a unique solution \(\mathbf{u}_{R,\varepsilon }\) in \(L^\infty ((0,T), L^2)\cap L^2((0,T),\dot{H}^1)\). Moreover, this solution belongs to \({\mathcal {C}}([0,T), L^2)\).
Again, \(\mathbf{u}_{R,\varepsilon }\) fulfills the assumptions of Theorem 2:
\(\mathbf{u}_{R,\varepsilon }\) belongs to \(L^\infty ((0,T), L^2_{w_\gamma })\) and \(\mathbf{\nabla }\mathbf{u}_{R,\varepsilon }\) belongs to \(L^2((0,T),L^2_{w_\gamma })\)
the map \(t\in [0,T)\mapsto \mathbf{u}_{R, \varepsilon }(t,.)\) is weakly continuous from [0, T) to \(L^2_{w_\gamma }\), and is strongly continuous at \(t=0\):
$$\begin{aligned} \lim _{t\rightarrow 0} \Vert \mathbf{u}_{R, \varepsilon }(t,.)-\mathbf{u}_{0,R}\Vert _{L^2_{w_\gamma }}=0. \end{aligned}$$on \((0,T)\times {\mathbb {R}}^3\), \(\mathbf{u}_{R,\varepsilon }\) fulfills the energy equality:
$$\begin{aligned} \partial _t\Big (\frac{\vert \mathbf{u}_{R,\varepsilon }\vert ^2}{2}\Big )= & {} \Delta \Big (\frac{\vert \mathbf{u}_{R,\varepsilon }\vert ^2}{2}\Big )-\vert \mathbf{\nabla }\mathbf{u}_{R,\varepsilon }\vert ^2- \mathbf{\nabla }\cdot \left( \frac{\vert \mathbf{u}\vert ^2}{2}\mathbf{b}_{R,\varepsilon }\right) \\&-\,\mathbf{\nabla }\cdot (p_{R,\varepsilon }\mathbf{u}_{R,\varepsilon }) + \mathbf{u}_{R,\varepsilon }\cdot (\mathbf{\nabla }\cdot {\mathbb {F}}_R). \end{aligned}$$with \(\mathbf{b}_{R,\varepsilon }=\mathbf{b}_R*\theta _\varepsilon \).
Thus, by Corollary 4 we know that,
and
where the constant \(C_\gamma \) depends only on \(\gamma \).
Moreover, we have that
and
Let \(R_n\rightarrow +\infty \) and \(\varepsilon _n\rightarrow 0\). Let \(\mathbf{u}_{0,n}=\mathbf{u}_{0,R_n}\), \({\mathbb {F}}_n={\mathbb {F}}_{R_n}\), \(\mathbf{b}_n=\mathbf{b}_{R_n,\varepsilon _n}\) and \(\mathbf{u}_n=\mathbf{u}_{R_n,\varepsilon _n}\). We may then apply Theorem 3, since \(\mathbf{u}_{0,n}\) is strongly convergent to \(\mathbf{u}_{0}\) in \(L^2_{w_\gamma }\), \({\mathbb {F}}_n\) is strongly convergent to \({\mathbb {F}}\) in \(L^2((0,T), L^2_{w_\gamma })\), and the sequence \(\mathbf{b}_n\) is strongly convergent to \(\mathbf{b}\) in \(L^3((0,T), L^3_{w_{3\gamma /2}})\). Thus there exists p, \(\mathbf{u}\) and an increasing sequence \((n_k)_{k\in {\mathbb {N}}}\) with values in \({\mathbb {N}}\) such that
\(\mathbf{u}_{n_k}\) converges *-weakly to \(\mathbf{u}\) in \(L^\infty ((0,T), L^2_{w_\gamma })\), \(\mathbf{\nabla }\mathbf{u}_{n_k}\) converges weakly to \(\mathbf{\nabla }\mathbf{u}\) in \(L^2((0,T),L^2_{w_\gamma })\);
\(p_{n_k}\) converges weakly to p in \(L^{3}((0,T),L^{6/5}_{w_{\frac{6\gamma }{5}}})+L^{2}((0,T),L^{2}_{w_\gamma })\);
\(\mathbf{u}_{n_k}\) converges strongly to \(\mathbf{u}\) in \(L^2_\mathrm{loc}([0,T)\times {\mathbb {R}}^3)\).
We then easily finish the proof. \(\quad \square \)
8 Application to the Study of \(\lambda \)-Discretely Self-similar Solutions
We may now apply our results to the study of \(\lambda \)-discretely self-similar solutions for the Navier–Stokes equations.
Definition 1
Let \(\mathbf{u}_0\in L^2_\mathrm{loc}({\mathbb {R}}^3)\). We say that \(\mathbf{u}_0\) is a \(\lambda \)-discretely self-similar function (\(\lambda \)-DSS) if there exists \(\lambda >1\) such that \(\lambda \mathbf{u}_0(\lambda x)= \mathbf{u}_0\).
A vector field \(\mathbf{u}\in L^2_\mathrm{loc}([0,+\infty )\times {\mathbb {R}}^3)\) is \(\lambda \)-DSS if there exists \(\lambda >1\) such that \(\lambda \mathbf{u}(\lambda ^2 t,\lambda x)=\mathbf{u}(t,x)\).
A forcing tensor \({\mathbb {F}}\in L^2_\mathrm{loc}([0,+\infty )\times {\mathbb {R}}^3)\) is \(\lambda \)-DSS if there exists \(\lambda >1\) such that \(\lambda ^2 {\mathbb {F}}(\lambda ^2 t,\lambda x)={\mathbb {F}}(t,x)\).
We shall speak of self-similarity if \(\mathbf{u}_0\), \(\mathbf{u}\) or \({\mathbb {F}}\) are \(\lambda \)-DSS for every \(\lambda >1\).
Examples
-
Let \(\gamma >1 \) and \(\lambda >1\). Then, for two positive constants \(A_{\gamma ,\lambda }\) and \(B_{\gamma ,\lambda }\), we have : if \(\mathbf{u}_0\in L^2_\mathrm{loc}({\mathbb {R}}^3)\) is \(\lambda \)-DSS, then \(\mathbf{u}_0\in L^2_{w_\gamma }\) and
$$\begin{aligned} A_{\gamma ,\lambda } \int _{ 1<\vert x\vert \leqq \lambda } \vert \mathbf{u}_0(x)\vert ^2\, \mathrm{d}x \leqq \int \vert \mathbf{u}_0(x)\vert ^2 w_\gamma (x)\, \mathrm{d}x \leqq B_{\gamma ,\lambda } \int _{ 1<\vert x\vert \leqq \lambda } \vert \mathbf{u}_0(x)\vert ^2\, \mathrm{d}x. \end{aligned}$$ -
\(\mathbf{u}_0\in L^2_\mathrm{loc}\) is self-similar if and only if it is of the form \(\mathbf{u}_0=\frac{\mathbf{w}_0(\frac{x}{\vert x\vert })}{\vert x\vert }\) with \(\mathbf{w}_0\in L^2(S^2)\).
-
\({\mathbb {F}}\) belongs to \(L^2((0,+\infty ),L^2_{w_\gamma })\) with \(\gamma >1\) and is self-similar if and only if it is of the form \({\mathbb {F}}(t,x)=\frac{1}{t} {\mathbb {F}}_0(\frac{x}{\sqrt{t}})\) with \(\int \vert {\mathbb {F}}_0(x)\vert ^2 \frac{1}{\vert x\vert }\, \mathrm{d}x <+\infty \).
Proof
-
If \(\mathbf{u}_0\) is \(\lambda \)-DSS and if \(k\in {\mathbb {Z}}\) we have
$$\begin{aligned} \!\!\ \!\!\ \int _{\lambda ^k<\vert x\vert<\lambda ^{k+1}} \!\!\ \!\!\ \vert \mathbf{u}_0(x)\vert ^2 w_\gamma (x)\, \mathrm{d}x \leqq \frac{\lambda ^k}{(1+\lambda ^k)^\gamma } \int _{1<\vert x\vert <\lambda } \!\!\ \!\!\ \vert \mathbf{u}_0(x)\vert ^2 \, \mathrm{d}x \end{aligned}$$with \(\sum _{k\in {\mathbb {Z}}} \frac{\lambda ^k}{(1+\lambda ^k)^\gamma }<+\infty \) for \(\gamma >1\).
-
If \(\mathbf{u}_0\) is self-similar, we have \(\mathbf{u}_0(x ) =\frac{1}{\vert x\vert } \mathbf{u}_0(\frac{x}{\vert x\vert })\). From this equality, we find that, for \(\lambda >1\)
$$\begin{aligned} \int _{1<\vert x\vert <\lambda } \vert \mathbf{u}_0(x)\vert ^2\, \mathrm{d}x =(\lambda -1) \int _{S^2} \vert \mathbf{u}_0(\sigma ) \vert ^2 \, \mathrm{d}\sigma . \end{aligned}$$ -
If \({\mathbb {F}}\) is self-similar, then it is of the form \({\mathbb {F}}(t,x)=\frac{1}{t} {\mathbb {F}}_0(\frac{x}{\sqrt{t}})\). Moreover, we have
$$\begin{aligned} \int _0^{+\infty } \!\!\! \int \vert {\mathbb {F}}(t,x)\vert ^2\, w_\gamma (x) \, \mathrm{d}x\, \mathrm{d}s= & {} \int _0^{+\infty } \!\!\ \int \vert {\mathbb {F}}_0(x)\vert ^2 w_\gamma (\sqrt{t}\, x) \, \mathrm{d}x \, \frac{\mathrm{d}t}{\sqrt{t}} \\= & {} C_\gamma \int \vert {\mathbb {F}}_0(x)\vert ^2\, \frac{\mathrm{d}x}{\vert x\vert }. \end{aligned}$$with \( C_\gamma =\int _0^{+\infty } \frac{1}{(1+ \sqrt{\theta })^\gamma } \frac{\mathrm{d}\theta }{\sqrt{\theta }}<+\infty \). \(\quad \square \)
In this section, we are going to give a new proof of the results of Chae and Wolf [3] and Bradshaw and Tsai [2] on the existence of \(\lambda \)-DSS solutions of the Navier–Stokes problem (and of Jia and Šverák [6] for self-similar solutions) :
Theorem 5
Let \(4/3<\gamma < 2 \) and \(\lambda >1\). If \(\mathbf{u}_{0}\) is a \(\lambda \)-DSS divergence-free vector field (such that \(\mathbf{u}_0\in L^2_{w_\gamma }({\mathbb {R}}^3)\)) and if \({\mathbb {F}}\) is a \(\lambda \)-DSS tensor \({\mathbb {F}}(t,x)=\left( F_{i,j}(t,x)\right) _{1\leqq i,j\leqq 3}\) such that \({\mathbb {F}}\in L^2_\mathrm{loc}([0,+\infty )\times {\mathbb {R}}^3)\), then the Navier–Stokes equations with initial value \(\mathbf{u}_0\)
have a global weak solution \(\mathbf{u}\) such that
\(\mathbf{u}\) is a \(\lambda \)-DSS vector field;
for every \(0<T<+\infty \), \(\mathbf{u}\) belongs to \(L^\infty ((0,T), L^2_{w_\gamma })\) and \(\mathbf{\nabla }\mathbf{u}\) belongs to \(L^2((0,T),L^2_{w_\gamma })\);
the map \(t\in [0,+\infty )\mapsto \mathbf{u}(t,.)\) is weakly continuous from \([0,+\infty )\) to \(L^2_{w_\gamma }\), and is strongly continuous at \(t=0\):
$$\begin{aligned} \lim _{t\rightarrow 0} \Vert \mathbf{u}(t,.)-\mathbf{u}_0\Vert _{L^2_{w_\gamma }}=0; \end{aligned}$$the solution \(\mathbf{u}\) is suitable, and there exists a non-negative locally finite measure \(\mu \) on \((0,+\infty )\times {\mathbb {R}}^3\) such that
$$\begin{aligned} \partial _t\Big (\frac{\vert \mathbf{u}\vert ^2}{2}\Big )=\Delta \Big (\frac{\vert \mathbf{u}\vert ^2}{2}\Big )-\vert \mathbf{\nabla }\mathbf{u}\vert ^2- \mathbf{\nabla }\cdot \left( (\frac{\vert \mathbf{u}\vert ^2}{2}+p)\mathbf{u}\right) + \mathbf{u}\cdot (\mathbf{\nabla }\cdot {\mathbb {F}})-\mu . \end{aligned}$$
8.1 The Linear Problem
Following Chae and Wolf, we consider an approximation of the problem that is consistent with the scaling properties of the equations: let \(\theta \) be a non-negative and radially decreasing function in \({\mathcal {D}}({\mathbb {R}}^3)\) with \(\int \theta \, \mathrm{d}x=1\). We define \(\theta _{\varepsilon ,t}(x)=\frac{1}{(\varepsilon \sqrt{t})^3}\ \theta (\frac{x}{\varepsilon \sqrt{t}})\). We then will study the “mollified” problem
and begin with the linearized problem
Lemma 11
Let \(1<\gamma < 2\). Let \(\lambda >1\) Let \(\mathbf{u}_{0}\) be a \(\lambda \)-DSS divergence-free vector field such that \(\mathbf{u}_0\in L^2_{w_\gamma }({\mathbb {R}}^3)\) and \({\mathbb {F}}\) be a \(\lambda \)-DSS tensor \({\mathbb {F}}(t,x)=\left( F_{i,j}(t,x)\right) _{1\leqq i,j\leqq 3}\) such that, for every \(T>0\), \({\mathbb {F}}\in L^2((0,T), L^2_{w_\gamma })\). Let \(\mathbf{b}\) be a \(\lambda \)-DSS time-dependent divergence free vector-field (\(\mathbf{\nabla }\cdot \mathbf{b}=0\)) such that, for every \(T>0\), \(\mathbf{b}\in L^3((0,T),L^3_{w_{3\gamma /2}})\).
Then the advection-diffusion problem
has a unique solution \(\mathbf{v}\) such that:
for every positive T, \(\mathbf{v}\) belongs to \(L^\infty ((0,T), L^2_{w_\gamma })\) and \(\mathbf{\nabla }\mathbf{v}\) belongs to \(L^2((0,T),L^2_{w_\gamma })\);
the pressure p is related to \(\mathbf{v}\), \(\mathbf{b}\) and \({\mathbb {F}}\) through the Riesz transforms \(R_i =\frac{\partial _i}{\sqrt{-\Delta }}\) by the formula
$$\begin{aligned} p=\sum _{i=1}^3\sum _{j=1}^3 R_iR_j((b_i*\theta _{\varepsilon ,t})v_j-F_{i,j}); \end{aligned}$$the map \(t\in [0,+\infty )\mapsto \mathbf{v}(t,.)\) is weakly continuous from \([0,+\infty )\) to \(L^2_{w_\gamma }\), and is strongly continuous at \(t=0\):
$$\begin{aligned} \lim _{t\rightarrow 0} \Vert \mathbf{v}(t,.)-\mathbf{u}_0\Vert _{L^2_{w_\gamma }}=0. \end{aligned}$$
This solution \(\mathbf{v}\) is a \(\lambda \)-DSS vector field.
Proof
As we have \(\vert \mathbf{b}(t,.)*\theta _{\varepsilon ,t}\vert \leqq {\mathcal {M}}_{\mathbf{b}(t,.)} \) and thus
we see that we can use Theorem 4 to get a solution \(\mathbf{v}\) on (0, T).
As clearly \(\mathbf{b}*\theta _{\varepsilon ,t}\) belongs to \(L^2_t L^\infty _x(K)\) for every compact subset K of \((0,T)\times {\mathbb {R}}^3 \), we can use Corollary 5 to see that \(\mathbf{v}\) is unique.
Let \(\mathbf{w}(t,x)=\frac{1}{\lambda }\mathbf{v}(\frac{t}{\lambda ^2}, \frac{x}{\lambda })\). As \(b*\theta _{\varepsilon ,t}\) is still \(\lambda \)-DSS, we see that \(\mathbf{w}\) is solution of \((LNS_\varepsilon )\) on (0, T), so that \(\mathbf{w}=\mathbf{v}\). This means that \(\mathbf{v}\) is \(\lambda \)-DSS. \(\quad \square \)
8.2 The Mollified Navier–Stokes Equations
The solution \(\mathbf{v}\) provided by Lemma 11 belongs to \(L^3((0,T), L^3_{w_{3\gamma /2}})\) (as \(\mathbf{v}\) belongs to \(L^\infty ((0,T), L^2_{w_\gamma })\) and \(\mathbf{\nabla }\mathbf{v}\) belongs to \(L^2((0,T),L^2_{w_\gamma })\)). Thus we have a mapping \(L_\varepsilon : \mathbf{b}\mapsto \mathbf{v}\) which is defined from
to \(X_{T,\gamma }\) by \(L_\varepsilon (\mathbf{b})=\mathbf{v}\).
Lemma 12
For \(4/3<\gamma \), \(X_{T,\gamma }\) is a Banach space for the equivalent norms \(\Vert \mathbf{b}\Vert _{L^3((0,T),L^3_{w_{3\gamma /2}})}\) and \(\Vert \mathbf{b}\Vert _{L^3((0,T/{\lambda ^2}),\times B(0,\frac{1}{\lambda }))}\).
Proof
We have
and , for \(k\in {\mathbb {N}}\),
We may conclude, since for \(\gamma >4/3\) we have \(\sum _{k\in {\mathbb {N}}} \lambda ^{k (2-\frac{3\gamma }{2})}<+\infty \). \(\quad \square \)
Lemma 13
For \(4/3<\gamma < 2\), the mapping \(L_\varepsilon \) is continuous and compact on \(X_{T,\gamma }\).
Proof
Let \(\mathbf{b}_n\) be a bounded sequence in \(X_{T,\gamma }\) and let \(\mathbf{v}_n=L_\varepsilon (\mathbf{b}_n)\). We remark that the sequence \(\mathbf{b}_n(t,.)*\theta _{\varepsilon ,t}\) is bounded in \(X_{T,\gamma }\). Thus, by Theorem 2 and Corollary 4, the sequence \(\mathbf{v}_n\) is bounded in \(L^\infty ((0,T), L^2_{w_\gamma })\) and \(\mathbf{\nabla }\mathbf{v}_n\) is bounded in \(L^2((0,T),L^2_{w_\gamma })\).
We now use Theorem 3 and get that then there exists \(q_\infty \), \(\mathbf{v}_\infty \), \(\mathbf{B}_\infty \) and an increasing sequence \((n_k)_{k\in {\mathbb {N}}}\) with values in \({\mathbb {N}}\) such that
\(\mathbf{v}_{n_k}\) converges *-weakly to \(\mathbf{v}_\infty \) in \(L^\infty ((0,T), L^2_{w_\gamma })\), \(\mathbf{\nabla }\mathbf{v}_{n_k}\) converges weakly to \(\mathbf{\nabla }\mathbf{v}_\infty \) in \(L^2((0,T),L^2_{w_\gamma })\);
\(\mathbf{b}_{n_k}*\theta _{\varepsilon ,t}\) converges weakly to \(\mathbf{B}_\infty \) in \(L^3((0,T), L^3_{w_{3\gamma /2}})\);
the associated pressures \(q_{n_k}\) converge weakly to \(q_\infty \) in \(L^{3}((0,T),L^{6/5}_{w_{\frac{6\gamma }{5}}})+L^{2}((0,T),L^{2}_{w_\gamma })\);
\(\mathbf{v}_{n_k}\) converges strongly to \(\mathbf{v}_\infty \) in \(L^2_\mathrm{loc}([0,T)\times {\mathbb {R}}^3)\) : for every \(T_0\in (0,T)\) and every \(R>0\), we have
$$\begin{aligned} \lim _{k\rightarrow +\infty } \int _0^{T_0} \int _{\vert y\vert <R} \vert \mathbf{v}_{n_k}(s,y)-\mathbf{v}_\infty (s,y)\vert ^2\, \mathrm{d}s\, \mathrm{d}y=0. \end{aligned}$$
As \(\sqrt{w_\gamma }\mathbf{v}_n\) is bounded in \(L^\infty ((0,T),L^2)\) and in \(L^2((0,T), L^6)\), it is bounded in \(L^{10/3}((0,T)\times {\mathbb {R}}^3)\). The strong convergence of \(\mathbf{v}_{n_k}\) in \(L^2_\mathrm{loc}([0,T)\times {\mathbb {R}}^3)\) then implies the strong convergence of \(\mathbf{v}_{n_k}\) in \(L^3_\mathrm{loc}((0,T)\times {\mathbb {R}}^3)\).
Moreover, \(\mathbf{v}_\infty \) is still \(\lambda \)-DSS (a property that is stable under weak limits).We find that \(\mathbf{v}_\infty \in X_{T,\gamma }\) and that
This proves that \(L_\varepsilon \) is compact.
If we assume moreover that \(\mathbf{b}_n\) is convergent to \(\mathbf{b}_\infty \) in \(X_{T,\gamma }\), then necessarily we have \(\mathbf{B}_\infty =\mathbf{b}_\infty *\theta _{\varepsilon ,t}\), and \(\mathbf{v}_\infty = L_\varepsilon (\mathbf{b}_\infty )\). Thus, the relatively compact sequence \(\mathbf{v}_n\) can have only one limit point; thus it must be convergent. This proves that \(L_\varepsilon \) is continuous. \(\quad \square \)
Lemma 14
Let \(4/3<\gamma < 2\). If, for some \(\mu \in [0,1]\), \(\mathbf{v}\) is a solution of \(\mathbf{v}=\mu L_\varepsilon (\mathbf{v})\) then
where the constant \(C_{\mathbf{u}_0,{\mathbb {F}},\gamma , T}\) depends only on \(\mathbf{u}_0\), \({\mathbb {F}}\), \(\gamma \) and T (but not on \(\mu \) nor on \(\varepsilon \)).
Proof
We have \(\mathbf{v}=\mu \mathbf{w}\); with
Multiplying by \(\mu \), we find that
We then use Corollary 6. We choose \(T_0\in (0,T)\) such that
Then, as
we know that
and
In particular, we have
As \(\mathbf{v}\) is \(\lambda \)-DSS, we can go back from \(T_0\) to T. \(\quad \square \)
Lemma 15
Let \(4/3<\gamma \leqq 2\). There is at least one solution \(\mathbf{u}_\varepsilon \) of the equation \(\mathbf{u}_\varepsilon =L_\varepsilon (\mathbf{u}_\varepsilon )\).
Proof
Obvious due to the Leray–Schauder principle (and the Schaefer theorem), since \(L_\varepsilon \) is continuous and compact and since we have uniform a priori estimates for the fixed points of \(\mu L_\varepsilon \) for \(0\leqq \mu \leqq 1\). \(\quad \square \)
8.3 Proof of Theorem 5
We may now finish the proof of Theorem 5. We consider the solutions \(\mathbf{u}_\varepsilon \) of \(\mathbf{u}_\varepsilon =L_\varepsilon (\mathbf{u}_\varepsilon )\).
By Lemma 14, \(\mathbf{u}_\varepsilon \) is bounded in \(L^3((0,T), L^3_{w_{3\gamma /2}})\), and so is \(\mathbf{u}_\varepsilon *\theta _{\varepsilon ,t}\). We then know, by Theorem 2 and Corollary 4, that the familly \(\mathbf{u}_\varepsilon \) is bounded in \(L^\infty ((0,T), L^2_{w_\gamma })\) and \(\mathbf{\nabla }\mathbf{u}_\varepsilon \) is bounded in \(L^2((0,T),L^2_{w_\gamma })\).
We now use Theorem 3 and get that then there exists p, \(\mathbf{u}\), \(\mathbf{B}\) and a decreasing sequence \((\varepsilon _k)_{k\in {\mathbb {N}}}\) (converging to 0) with values in \((0,+\infty )\) such that
\(\mathbf{u}_{\varepsilon _k}\) converges *-weakly to \(\mathbf{u}\) in \(L^\infty ((0,T), L^2_{w_\gamma })\), \(\mathbf{\nabla }\mathbf{u}_{\varepsilon _k}\) converges weakly to \(\mathbf{\nabla }\mathbf{u}\) in \(L^2((0,T),L^2_{w_\gamma })\);
\(\mathbf{u}_{\varepsilon _k}*\theta _{\varepsilon _k,t}\) converges weakly to \(\mathbf{B}\) in \(L^3((0,T), L^3_{w_{3\gamma /2}})\);
the associated pressures \(p_{\varepsilon _k}\) converge weakly to p in \(L^{3}((0,T),L^{6/5}_{w_{\frac{6\gamma }{5}}})+L^{2}((0,T),L^{2}_{w_\gamma })\);
\(\mathbf{u}_{\varepsilon _k}\) converges strongly to \(\mathbf{u}\) in \(L^2_\mathrm{loc}([0,T)\times {\mathbb {R}}^3)\).
Moreover we easily see that \(\mathbf{B}=\mathbf{u}\). Indeed, we have that \(\mathbf{u}*\theta _{\varepsilon ,t}\) converges strongly in \(L^2_\mathrm{loc}((0,T)\times {\mathbb {R}}^3)\) as \(\varepsilon \) goes to 0 (since it is bounded by \({\mathcal {M}}_\mathbf{u}\) and converges, for each fixed t, strongly in \(L^2_\mathrm{loc}({\mathbb {R}}^3)\)); moreover, we have \( \vert (\mathbf{u}-\mathbf{u}_\varepsilon )*\theta _{\varepsilon ,t}\vert \leqq {\mathcal {M}}_{\mathbf{u}-\mathbf{u}_\varepsilon }\), so that the strong convergence of \(\mathbf{u}_{\varepsilon _k}\) to \(\mathbf{u}\) is kept by convolution with \(\theta _{\varepsilon ,t}\) as far as we work on compact subsets of \((0,T)\times {\mathbb {R}}^3 \) (and thus don’t allow t to go to 0).
Thus, Theorem 5 is proven. \(\quad \square \)
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Fernández-Dalgo, P.G., Lemarié-Rieusset, P.G. Weak Solutions for Navier–Stokes Equations with Initial Data in Weighted \(L^2\) Spaces. Arch Rational Mech Anal 237, 347–382 (2020). https://doi.org/10.1007/s00205-020-01510-w
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DOI: https://doi.org/10.1007/s00205-020-01510-w