Gluing non-unique Navier-Stokes solutions
Abstract.
We construct non-unique Leray solutions of the forced Navier-Stokes equations in bounded domains via gluing methods. This demonstrates a certain locality and robustness of the non-uniqueness discovered by the authors in [1].
1. Introduction
In the recent work [1], we constructed non-unique Leray solutions of the Navier-Stokes equations in the whole space with forcing:
(NS) | ||||
The non-unique solutions are driven by the extreme instability of a “background” solution , which has a self-similar structure:
(1.1) |
In particular, the non-uniqueness “emerges” from the irregularity at the space-time origin and is expected to be local. However, while is compactly supported, the non-uniqueness in [1] involves another solution whose support is . Below, we demonstrate a certain locality and robustness of the non-uniqueness discovered in [1] by gluing it into any smooth, bounded domain with no-slip boundary condition and into the torus , i.e., the fundamental domain with periodic boundary conditions.
Theorem 1.1 (Non-uniqueness in bounded domains).
Let be a smooth, bounded domain in or the torus . There exist , , and two distinct suitable Leray–Hopf solutions , to the Navier–Stokes equations on with body force , initial condition , and no-slip boundary condition.
We assume a certain familiarity with the conventions of [1], although it will be convenient to recall the basics below. For and , define the similarity variables
(1.2) |
A velocity field and its similarity profile are related via the transformation
(1.3) |
The pressure , force , and their respective profiles , transform according to
(1.4) |
The Navier-Stokes equations in similarity variables are
(1.5) | ||||
Then constructed in [1] (see (1.1) above) is an unstable steady state of (1.5) with suitable smooth, compactly supported forcing term , and the non-unique solutions are trajectories on the unstable manifold associated to .
In this paper, we take the following perspective. The force and one solution are exactly the ones from [1]. They are self-similar, smooth for positive times, and compactly supported inside the domain , which we assume contains the ball of radius centered at the origin. Each non-unique solution in [1] constitutes then an “inner solution” which lives at the self-similar scaling , and this solution can be glued to an “outer solution” (namely, ), which lives at the scaling . The boundary conditions are satisfied by the outer solution. The solutions are glued by truncating on an intermediate scale . Let be a suitable cut-off function with on and on . Our main ansatz is
(1.6) |
where is the compactly supported self-similar solution of the previous work, is the inner correction defined on the whole (although only the values in matter for the definition of ), and is the outer correction defined on the torus. Since is the inner correction, it will be natural to track its similarity profile (we keep the lower and uppercase convention). We likewise decompose the pressure
(1.7) |
although from the construction in [1].
The PDE to be satisfied in by and is
(1.8) |
together with . We distribute the terms into an “inner equation”, which we think of as an equation for involving some terms in , localized around the origin, and an “outer equation”, thought of as an equation for . The inner and outer equations, when satisfied separately, imply that (1.8) is satisfied.
1.1. Inner equation
The inner equation has to be satisfied on the support of , which is contained in :
(1.9) |
and it is coupled to the divergence-free condition
(1.10) |
We introduce the operator , i.e., the linearized operator of (1.5) around :
(1.11) |
In self-similar variables, we rewrite the cut-off . We rewrite the inner equation (1.9) as
(1.12) |
where . We now require that it is satisfied in the whole , not merely on the support of .
1.2. Outer equation
Using that and , as a consequence of our choice of , we deduce the following system for the outer equation:
(1.13) |
The problem (LABEL:eqn:outer) is to be solved in with the boundary condition .
We now consider the PDEs (1.9) and (LABEL:eqn:outer) as a system for . The two components will be controlled using two different linear operators, and .
In dividing the terms of (1.8) into the inner and outer equations, we put the “boundary terms”, i.e., terms involving derivatives of , into the outer equation, whereas the we put the terms and into the inner equation.
Crucially, we expect that the boundary terms are small because solutions of the inner equation are well localized. Consequently, decouples from as , and therefore the linear part of the system should be invertible.111One can compare this to the matrix where represents the boundary terms, represents the terms, and the diagonal elements and are . In fact, eventually we will see that decays faster than as , so the terms corresponding to are small, and the whole system decouples. For this to work, it is necessary to show that the boundary terms are negligible, which requires knowledge of the inner correction in weighted spaces.
With this knowledge, we solve the full nonlinear system via a fixed point argument. The details of the scheme will be discussed in Section 3.
Our method is inspired by the parabolic “inner-outer” gluing technique exploited in [3] to analyze bubbling and reverse bubbling in the two-dimensional harmonic map heat flow into . The reverse bubbling in [3] is also an example of gluing techniques applied to non-uniqueness, although its mechanism is quite different. It is worth noting that, in that setting, the harmonic map heat flow actually has a natural uniqueness class [9].
We expect that Theorem 1.1 may be extended in a number of ways. Our techniques extend with minimal effort to non-uniqueness centered at points. We expect that the conditionally non-unique solutions of Jia and Šverák [7] can also be glued.222For this, it may be necessary to assume that the self-similar solution is just barely unstable, as is done in the truncation procedure in [7]. Typically, the background solution must be cut in the gluing procedure, but we avoid this because in our setting is already compactly supported. Finally, it would be interesting to glue the two-dimensional Euler constructions of [11, 12] (see also [2]) into the torus or bounded domains. This is likely to be more challenging than the present work, since the Euler equations are quasilinear and the construction of the unstable manifold more involved. We leave these and other extensions to future work.
2. Preliminaries
Consider and , or a smooth, bounded domain in .
We define
(2.1) |
which can be understood as the space of velocity fields with on and on , where is the exterior normal to . See [5, Chapter III] or [10, Lemma 1.4]. Notice that the boundary condition is vacuous when .
There exists a bounded projection satisfying for any , where is the Neumann Laplacian. This is the Leray projection. By density of divergence-free test fields, it agrees across spaces and, in particular, with the extension of the -orthogonal projection onto divergence-free fields; see [5, Chapter III] or [10, Theorem 1.5].
2.1. Linear instability
The following theorem provides an unstable background for the D Navier-Stokes equations. We refer the reader to [1] for its proof.
Theorem 2.1 (Linear instability).
There exists a divergence-free vector field with such that the linearized operator defined by
(2.2) |
where , has a maximally unstable eigenvalue with non-trivial smooth eigenfunction belonging to for all :
(2.3) |
The construction in [1] allows to be chosen to make arbitrarily large, and it will be convenient, though not strictly necessary, to enforce that .
We can now define
(2.4) |
a solution of the linearized PDE , with maximal growth rate .
The following lemma, borrowed from [1, Lemma 4.4], provides sharp growth estimates on the semigroup .
Lemma 2.2.
2.2. Improved space decay
For and , define to be the space of satisfying
(2.6) |
where is the Japanese bracket notation. We further define
(2.7) |
Lemma 2.3.
Let , and . Then
(2.8) |
Remark 2.4.
For and , the solution operator is easily shown to be well defined by standard arguments. Namely, consider the solution to the following PDE:
(2.9) |
The mild solution theory of the above PDE can be developed using properties of the semigroup (whose kernel consists of derivatives of the Oseen kernel, see (2.14)-(2.15) below) by considering as a perturbation in Duhamel’s formula. In particular, it is standard to demonstrate that, for all and , we have
(2.10) |
for all . Finally, we define according to
(2.11) |
With this in mind, we focus below on growth estimates for the semigroup.
Proof of Lemma 2.3.
To begin, we establish weighted estimates for the semigroup , where
(2.12) |
For , consider the solution to
(2.13) |
We have the representation formula
(2.14) |
where is tensor-valued and consists of derivatives of the Oseen kernel (see, e.g., [10, p. 80]),
(2.15) |
satisfying the pointwise estimate
(2.16) |
Define according to
(2.17) |
Using the representation formula and elementary estimates for convolution (see Lemma 7.1 and Remark 7.2), we have two estimates. First, we have the short-time estimate
(2.18) |
which implies that
(2.19) |
Moreover, we have the long-time estimate
(2.20) |
This completes the semigroup estimates for .
We now turn our attention to the growth estimate for . First, we prove
(2.21) |
We already have this estimate for , see (2.10) in Remark 2.4, so we focus on . This is done by splitting , using estimate (2.10) (with ) for the operator , and using the growth estimate
(2.22) |
from Lemma 2.2, for the operator , along with Sobolev embedding in dimension three. With (2.21) in hand, we proceed with the desired estimate. Define and write
(2.23) |
We will combine the semigroup estimates (2.19) and (2.20) for with (2.21) and the fact that is compactly supported. We end up with
(2.24) | ||||
where we used that . This holds for all , completing the proof. ∎
Lemma 2.5.
The eigenfunction in Theorem 2.1 belongs to .
Proof.
The proof is akin to [1, Corollary 3.3]: solves
(2.25) |
where . Notably, local elliptic regularity implies that is smooth on the support of . Hence, . Next, we ‘undo’ the similarity variables by defining
(2.26) |
Then
(2.27) |
and we have the representation formula
(2.28) |
which yields (see (2.18))
(2.29) |
since . Here, we used that for . This completes the proof. ∎
2.3. Stokes equations in bounded domains
We now turn our attention to the linear theory for the outer equation. We begin with semigroup theory for the Stokes equations, see [6, Sections 2 and 5] and [10, Chapter 5].
Lemma 2.6 (Stokes in bounded domains).
Let and be a smooth, bounded domain. Define
(2.30) |
and the Stokes operator
(2.31) |
Then the Stokes operator generates an analytic semigroup , and we have, for all and , the smoothing estimates
(2.32) |
The function solves the Stokes equations with no-slip boundary conditions
(2.33) |
for any . The boundary conditions are built into the domain of the operator, and for any .
To solve the Stokes equations with non-zero divergence, we use the following lemma due to [4, Theorem 4].
Lemma 2.7 (Stokes with inhomogeneous divergence).
Let and be a smooth, bounded domain. For , and , consider with zero mean: for a.e. .
Then there exists a unique very weak solution to the following Stokes problem in :
(2.34) |
that is, for all divergence-free , we have
(2.35) |
and in the sense of distributions on . Moreover, satisfies the estimate
(2.36) |
Remark 2.8.
The initial condition is understood “modulo gradients”. Moreover, it can be proven (cf. [4, Theorem 4, Remark 3]) that and . Notably, uniqueness holds in the above class of very weak solutions, which makes the notion a useful generalization.
2.4. Stokes equations in the periodic domain
On the torus , the Stokes equations can be solved by means of the heat semigroup, since the Stokes operator in , , coincides with
(2.37) |
Hence, the associated Stokes semigroup coincides with the heat semigroup and enjoys the smoothing estimates
(2.38) |
for all and .
The Stokes equations with non-zero divergence,
(2.39) |
admit an explicit solution
(2.40) |
provided satisfies the compatibility condition for a.e. . The solution is in the very weak sense, that is, in the sense of distributions, and, for all , we have
(2.41) |
As in Remark 2.8, the initial condition is only “modulo gradients”.
It is immediate to check that
(2.42) |
for any and .
2.5. Weighted pressure estimates
To estimate the boundary term in (LABEL:eqn:outer), where is the “inner pressure”, we require estimates for the singular integral operator in weighted spaces. Notably, , where is a tensor and is the vector of Riesz transforms , whose kernels are .
For compactly supported in with , we evidently have
(2.43) |
For with and , we require the estimate
(2.44) |
We split . Then, in the near field, we have
(2.45) |
whereas, whenever , we have the contribution
(2.46) |
as in Remark 7.2, from the far field. Hence,
(2.47) |
and the estimate follows by combining (2.45) and (2.47). In practice, this estimate will sometimes be coupled with the embedding .
3. The integral equations
In what follows is either a smooth, bounded domain or the periodic box . For , , and , we define the norms
(3.1) |
(3.2) |
where will be fixed later. The function spaces and consist of and measurable functions, respectively, with finite norm. Let
(3.3) |
endowed with the norm
(3.4) |
We drop the dependence on from since we always assume that .
Our goal is to solve a set of integral equations for and :
(3.7) |
where , , and will be specified below. The integral equations will be a reformulation of the inner and outer equations introduced in Section 1.
We want to show that, for an appropriate choice of the parameters and , defined in (4.3), and , there exists such that the integral equations admit a unique solution . In what follows, we allow the implied constants to depend on , , and .
We now determine the above operators, beginning with the inner integral equation.
3.1. Inner integral equation
Recall that the inner PDE is
(3.8) |
which must be satisfied on the support of , and which we seek to solve in the whole space. With the decomposition (3.5), we can derive an equation for . The equation is
(3.9) |
where is a linear operator in given by
(3.10) |
The operator is induced by the bilinear form
(3.11) |
We finally have
(3.12) |
The associated integral operators are
(3.13) |
(3.14) |
(3.15) |
3.2. Outer integral equation
Let be the solution of the Stokes equations with inhomogeneous divergence: When is a smooth, bounded domain, we define as in Lemma 2.7 with . In the periodic setting, we set
(3.16) |
see the discussion in Section 2.4.
Recall that the outer PDE is posed on and reads
(3.17) |
It will be convenient to rewrite, for each component of the vector field ,
(3.18) |
to keep everything in divergence form:
(3.19) |
The PDE is supplemented with the boundary condition . The inner pressure , which appears in the boundary term , is given by its similarity profile
(3.20) |
Hence, we can rewrite it in physical variables as
(3.21) |
where , , and will represent , , and in physical variables as opposed to similarity variables.
The integral equation for is
(3.22) |
We rewrite it as
(3.23) |
where acts linearly on according to
(3.24) |
The operator is induced by the bilinear form
(3.25) |
and finally,
(3.26) |
3.3. Elementary estimates
We have the following elementary estimate for every . From now on, suppose that . Let . Then (extending by zero in time as necessary)
(3.27) |
where the implied constants depend on . Hence,
(3.28) |
where the arises from the change of measure .
Meanwhile, we have
(3.29) |
Since ,
(3.30) |
4. Outer estimates
We begin with the outer estimates. Crucially, we will see that the boundary terms from will limit the decay rate of .
Except in the terms which correct the divergence, it will be convenient to work with pointwise estimates in time and use the observation that, for functions ,
(4.1) |
Let
(4.2) |
This exponent will appear in the decay rates and . The term will be seen to come from (4.1). We recognize the exponent in (3.30) as .
4.1. Estimate on (3.26)
We begin with the divergence term, which will already have the worst contribution. It is estimated using Lemma 2.7, (2.42) (depending on whether is a bounded or a periodic domain), (3.30) and (4.4):
(4.5) | ||||
The remaining non-pressure terms are estimated using either Lemma 2.6 or (2.38):
(4.6) | ||||
To estimate the pressure terms, we observe from (2.44) that
(4.7) |
Therefore, after changing variables,
(4.8) | ||||
4.2. Estimate on (3.24)
The terms in the first line of (3.24) are estimated similarly to the estimate except that is replaced by and by . We employ either Lemma 2.6 or (2.38) to estimate the remaining non-pressure terms:
(4.11) |
and
(4.12) |
For the pressure terms, whenever , we have
(4.13) |
(4.14) |
(4.15) |
(4.16) |
The terms (4.13) and (4.14) lead to an estimate similar to the pressure term in but with powers and when measured in . For the term (4.15), we have
(4.17) | ||||
The contribution of the term (4.16) is similar but with exponent .
We conclude that
(4.18) |
4.3. Estimate on (3.25)
5. Inner estimates
We now turn to the inner estimates, for which our main tool is Lemma 2.3.
5.1. Estimate on (3.15), (3.12)
5.2. Estimate on (3.14), (3.11)
5.3. Estimate on (3.13), (3.10)
The estimate for the terms is analogous to the and estimates. For all , we have
(5.6) |
The estimates for the terms is analogous to the estimate:
(5.7) |
Finally, we have
(5.8) | ||||
where and . Combining the above three estimates and , we have
(5.9) |
6. Conclusion
We now collect the estimates (4.10), (4.18), (4.22), (5.2), (5.5), (5.9), which yield that
(6.1) |
with the appropriate choices of and in (4.3), , and . In particular, there exists such that
(6.2) |
is a contraction, cf. [1, Subsection 4.2.2]. Hence, there exists a unique solution to the integral equation (3.7) in the above ball. By the ansatz (1.6) and decomposition (3.5), the solution determines a mild Navier-Stokes solution with forcing and satisfying
(6.3) |
for all .
That the solution is indeed mild is a technical point, which we now justify. Initially, we know that, for all divergence-free , we have
(6.4) |
and for a.e. . In particular, , and it is weakly continuous in due to (6.4). Consider such that . Let be the mild solution to the Stokes equations on with initial data and right-hand side . Then is a very weak solution in the sense of Lemma 2.7 with zero initial data, zero right-hand side, and zero divergence. By uniqueness, on .
We begin by justifying that , which is necessary for non-uniqueness. Recall that and for all sufficiently negative . Additionally, due to (3.28), we have that, for all , along a sequence ; in particular, the exponent on the right-hand side can be made strictly greater than . Hence, for large enough , which justifies the claim.
We now justify that the above solution is a Leray-Hopf solution with right-hand side. Since is a subcritical space when and is smooth away from , it is classical that for all (bootstrap using the mild formulation and the linear estimates in Lemma 2.6) and, moreover, satisfies energy equality on , for all (see [8, Theorem 1.4.1, p. 272], for example). It remains to show that as for some sequence of times . We have , and follows from (3.27). This completes the proof of Theorem 1.1.
Acknowledgments
DA was supported by NSF Postdoctoral Fellowship Grant No. 2002023 and Simons Foundation Grant No. 816048. EB was supported by Giorgio and Elena Petronio Fellowship. MC was supported by the SNSF Grant 182565.
7. Appendix
Lemma 7.1 (A convolution inequality).
Let , and . Then
(7.1) |
Proof.
We will suppress dependence on when convenient.
For , we have
(7.2) |
so we restrict our attention to .
In the region , we have and
(7.3) |
In the region , we have and
(7.4) |
where and ensure that .
In the region , we have and
(7.5) |
where we again use that and to make simplifications.
Finally, we sum the above estimates to complete the proof when . ∎
Remark 7.2.
As a consequence, we have the following variant, which is useful in the proof of Lemma 2.3. Let , , and be its Hölder conjugate. Then, for all , we have
(7.6) | ||||
with obvious adjustments when .
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