Partial boundary regularity for the Navier–Stokes equations in irregular domains
Abstract.
We prove partial regularity of suitable weak solutions to the Navier–Stokes equations at the boundary in irregular domains. In particular, we provide a criterion which yields continuity of the velocity field in a boundary point and obtain solutions which are continuous in a.a. boundary boundary point (their existence is a consequence of a new maximal regularity result for the Stokes equations in domains with minimal regularity). We suppose that we have a Lipschitz boundary with locally small Lipschitz constant which belongs to the fractional Sobolev space for some . The same result was previously only known under the much stronger assumption of a -boundary.
2010 Mathematics Subject Classification:
76Nxx; 76N10; 35Q30 ; 35Q84; 82D601. Introduction
We consider the motion of a viscous incompressible fluid in a physical body – a bounded Lipschitz domain in during the interval . The motion of the fluid is governed by the Navier–Stokes equations
(1) |
in , where is the velocity field and the pressure function. The quantity is an external forcing, is the density and the viscosity – two positive constants which will be set to 1 in the following for simplicity.
The existence of weak solutions to (1) has been established in the 1930’s by Leray [16]. The regularity of solutions to (1) is an outstanding open problem which has been attracting mathematicians for decades – still we are far away from a complete understanding (though some remarkable recent progress on the non-uniqueness of weak solutions has been made based on the method of convex integration, cf. [1, 4, 5]). The state of the art today is partial regularity. This means that the velocity field is locally bounded/Hölder continuous outside a negligible set of the space-time cylinder (further regularity properties inside this set can be deduced) with measure zero. Such an analysis has been initiated in a series of papers by Sheffer, see [27]–[30]. A further milestone is the work by Caffarelli-Kohn-Nirenberg in [6] on suitable weak solutions. These solutions satisfy a form of the energy inequality which is localised in space-time (hereafter called local energy inequality) which reads as
(2) |
for any with . This is a piece of information which has to be included into the definition of a solution as it is otherwise lost in the construction procedure. It is not known (and maybe not even expected) if any weak solution satisfies a local energy inequality (in fact, the same problem appears for the global energy inequality too). As demonstrated in [6], an analysis of the local regularity properties of suitable weak solutions is possible. In particular, a criterion for a solution to (1) is provided, which yields boundedness of the velocity field in a given point in space-time. Some further improvements and simplifications can be found in [9, 15, 18].
The regularity of solutions to (1) at the boundary seems to be less understood. A first results has been achieved by Sheffer in [30] and a more systematic analysis was started by Seregin in [23]–[25]. Still all these results consider the case of a flat boundary. A flat boundary is the easiest case to consider and one expects that the same results also apply for curved boundaries provided they are sufficiently smooth. Indeed, a corresponding theory for non-flat boundaries of class has been obtained in [26]. Many applications naturally lead, however, to a boundary of significantly less regularity. This is particularly motivated by problems from fluid-structure interaction, where the boundary is described by the displacement of an elastic structure. The latter is the solution to a partial differential equation on its own and hence only of limited regularity (we comment further on this in Section 6.3).
We aim to prove partial regularity of solutions to (1) at the boundary under minimal assumptions on the regularity of the boundary. Our analysis is based on the concept of boundary suitable weak solutions as in [23, 26]. They satisfy a local energy inequality near a certain part of the boundary (that is, (2) for cut-off functions supported near a part of the boundary), see Definition 2.4. So far, even their existence was not known for boundaries with regularity below . In order to improve this we prove a new result on the maximal -theory for the unsteady Stokes system under minimal assumptions on the boundary regularity, cf. Theorem 3.1. The main assumption is that is a Lipschitz domain with locally small Lipschitz constant and that the local coordinates (we make this concept precise in Section 2.4.) belong to the class of Sobolev multipliers on – the trace space of to which the velocity field belongs. The -theory just described provides a parabolic counterpart of the recent results on the steady Stokes system from [2] and yields the existence of boundary suitable weak solutions to the Navier–Stokes system (1) in irregular domains, cf. Theorem 2.5.
Eventually, we prove a criterion for boundary suitable weak solutions to (1) which implies continuity of the velocity field in a boundary point (see Theorem 2.6) and hence obtain solutions which are continuous in almost any boundary boundary point (see Theorem 2.7). Our main assumption is that the boundary coordinates belong to the class of Sobolev multipliers on
(3) |
with sufficiently small norm. This class includes Lipschitz boundaries with small Lipschitz constant belonging to the class for , see Remark 2.2.
Our approach uses a flattening of the boundary by means of a transformation which is an extension of the function describing the boundary locally. This leads to some kind of perturbed Navier–Stokes equations (or perturbed Stokes equations if the convective term is neglected). We provide a regularity theory for the perturbed Stokes system under minimal assumptions on the coefficients resulting from the flattening (this is similar to that of the Stokes system in irregular domains mentioned above). This is used in the partial regularity proof via the blow-up technique. There are various stages in the proof of the blow up lemma (see Lemma 5.1), which require restrictions on the regularity of (or that of ). The most restrictive one is related to the decay of the pressure of some perturbed Stokes system: We have to show that
(4) |
for some to arrive at a contradiction. Here denotes a parabolic half-cylinder centered at the flat boundary with radius . Estimate (4) can be proved by Poincaré’s inequality if belongs to the space with . The term in (4) results from our unusual choice of excess functional related to the integrability for the pressure. In order to fine-tune the assumptions on in (3) (see Section 6.2 for some discussion) we must choose the time-integrability of the pressure as large as possible, where the upper limit is due to the integrability of the convective term.
Details on the -theory for the perturbed Stokes system can be found in Lemma 4.2 (which also implies a useful Caccioppoli-type inequality in Lemma 4.3). The latter also yields an estimate for the velocity field of the perturbed Stokes system in the same space which implies its continuity (we expect this to be true also under weaker assumptions, see the discussion in Section 6.2). This is needed similarly to (4) for the decay of the perturbed velocity field. Finally, the transformation of the local energy inequality from the original to the flat geometry requires some assumptions on the boundary, though weaker than those already mentioned (we refer to the estimates in (72)). At first glance it seems that one needs to control this term. A more careful analysis reveals, however, that it is sufficient if belongs to the Sobolev multiplier class on . Although it remains unclear at this stage if (3) is optimal for partial boundary regularity, we believe that it will be very difficult to relax it. We comment further on this in Section 6.2.
2. Preliminaries and results
2.1. Conventions
We write for two non-negative quantities and if there is a such that . Here is a generic constant which does not depend on the crucial quantities and can change from line to line. If necessary we specify particular dependencies. We write if and . We do not distinguish in the notation for the function spaces between scalar- and vector-valued functions. However, vector-valued functions will usually be denoted in bold case.
2.2. Classical function spaces
Let , , be open. Function spaces of continuous or -Hölder continuous functions, , are denoted by or respectively. Similarly, we write and . We denote as usual by and for and Lebesgue and Sobolev spaces over . For a bounded domain the space denotes the subspace of of functions with zero mean, that is . We denote by the closure of the smooth and compactly supported functions in . This coincides with the functions vanishing -a.e. on provided is sufficiently regular. We also denote by the dual of . Finally, we consider the subspace of divergence-free vector fields which is defined accordingly. We will use the shorthand notations and in the case of -dimensional domains and and for -dimensional sets.
For a separable Banach space we denote by the set of (Bochner-) measurable functions such that the mapping . The set denotes the space of functions which are continuous with respect to the norm topology on . The space consists of those functions from for which the distributional time derivative belongs to as well. We use the shorthand for . For instance, we write for . Similarly, stands for .
The space with denotes the set of functions being -Hölder continuous in and -Hölder continuous in .
2.3. Fractional differentiability and Sobolev mulitpliers
For the fractional Sobolev space (Sobolev-Slobodeckij space) with differentiability with will be denoted by . For we write with and . We denote by the closure of the smooth and compactly supported functions in . For this coincides with the functions vanishing -a.e. on provided is regular enough. We also denote by for the dual of . Similar to the case of unbroken differentiabilities above we use the shorthand notations and .. We will denote by the standard Besov spaces on with differentiability , integrability and fine index . They can be defined (for instance) via Littlewood-Paley decomposition leading to the norm . We refer to [21] and [33, 34] for an extensive picture. The Besov spaces for a bounded domain are defined as the restriction of functions from , that is
If and we have .
In accordance with [19, Chapter 14] the Sobolev multiplier norm is given by
(5) |
where and . The space of Sobolev multipliers is defined as those objects for which the -norm is finite. For we denote by the subset of functions from with -norm not exceeding . By mathematical induction with respect to one can prove for Lipschitz-continuous functions that membership to in the sense of (5) implies that
(6) |
The quantity (6) also serves as customary definition of the Sobolev multiplier norm in the literature but (5) is more suitable for our purposes.
Let us finally collect some some useful properties of Sobolev multipliers. By [19, Corollary 14.6.2] we have
(7) |
provided that one of the following conditions holds:
-
•
and with ;
-
•
and with .
Note that the hidden constant in (7) depends on the -norm of . By [19, Corollary 4.3.8] it holds
(8) |
for . Finally, we note the following rule about the composition with Sobolev multipliers which is a consequence of [19, Lemma 9.4.1]. For open sets , and a Lipschitz continuous function with and Lipschitz continuous inverse we have
(9) |
with constant depending on .
2.4. Parametrisation of domains
In this section we present the necessary framework to parametrise the boundary of the underlying domain by local maps of a certain regularity. This yields, in particular, a rigorous definition of a -boundary. We follow the presentation from [2].
We assume that can be covered by a finite number of open sets for some , such that the following holds. For each there is a reference point and a local coordinate system (which we assume to be orthonormal and set ), a function and with the following properties:
-
(A1)
There is such that
-
(A2)
For we have with
-
•
if and only if ;
-
•
if and only if ;
-
•
if and only if .
-
•
-
(A3)
We have that
In other words, for any there is a neighborhood of and a function such that after translation and rotation111By translation via and rotation via we can assume that and that the outer normal at is pointing in the negative -direction.
(10) |
The regularity of will be described by means of local coordinates as just described.
Definition 2.1.
Clearly, we can define similarly a -boundary for some by requiring that . Analogous definitions apply for various other function spaces such as for and or for . Of particular importance for us is also a Lipschitz boundary, where . We say that the Lipschitz constant of , denoted by , is (smaller or) equal to some number provided the Lipschitz constants of are not exceeding .
Remark 2.2.
In order to describe the behaviour of functions defined in close to the boundary we need to extend the functions from (A1)–(A3) to the half space . Hence we are confronted with the task of extending a function to a mapping that maps the 0-neighborhood in to the -neighborhood in . The mapping locally maps the boundary of to the one of . We extend this mapping using the extension operator of Maz’ya and Shaposhnikova [19, Section 9.4.3]. Let with and . Let denote the induced family of mollifiers. We define the extension operator
where is a Lipschitz function with Lipschitz constant . Then the estimate
(12) |
follows from [19, Theorem 8.7.2]. Moreover, [19, Theorem 8.7.1] yields
(13) |
It is shown in [19, Lemma 9.4.5] that (for sufficiently large , i.e., ) the mapping
is for every one to one and the inverse is Lipschitz with gradient bounded by . Now, we define the mapping as a rescaled version of the latter one by setting
(14) |
Thus, is one-to-one (for sufficiently large ) and we can define its inverse . The Jacobi matrix of the mapping satisfies
(15) |
Since , we have
(16) |
using that is large compared to . Finally, we note the implication
(17) |
which holds, for instance, if is Lipschitz continuous, cf. [19, Lemma 9.4.2].
Remark 2.3.
-
(a)
Since the cover is open it is possible to find a number (depending on the cover) such that the following holds: for every there is such that and .
-
(b)
Similarly, by possibly decreasing , we have the following: there is (depending on the cover) such that for any with there is such that and .
2.5. The main results
We start with a definition of boundary suitable weak solutions adapting the notation from [26]. These solutions satisfy a local form of the energy inequality in the neighborhood of boundary points. For that purpose we fix two numbers and such that . The choice comes from the fact that the convective term of a weak solution to (1) belongs to . Later on we will choose and, accordingly, .
Definition 2.4 (Boundary suitable weak solution).
Let be a bounded Lipschitz domain and relatively open. Let be a dataset such that
(18) |
We call the triple a boundary suitable weak solution to the Navier–Stokes system (1) hear with data provided that the following holds:
-
(a)
The velocity field satisfies
-
(b)
The pressure satisfies
-
c)
We have222after translation via and rotation via , cf. Section 2.4.
for some Lipschitz function satisfying
(19) -
(d)
We have
a.a. in .
-
(e)
for any with and the local energy inequality
(20) holds.
The next theorem shows that, under suitable assumptions on , there is a solution to (1) which is a boundary suitable weak solution around every boundary point.
Theorem 2.5.
Suppose that is a bounded Lipschitz domain such that and for some sufficiently small . Then there is a solution to the Navier–Stokes equations (1) with the following property: For every point there is a neighborhood such that generates a boundary suitable weak solution to the Navier–Stokes system (1) near in the sense of Definition 2.4.
Proof.
Applying a standard regularisation procedure (by convolution with a mollifying kernel) to the functions from (A1)–(A3) in the parametrisation of we obtain a smooth boundary. Classically, the solution to the corresponding Stokes system is smooth. Such a procedure is standard and has been applied, for instance, in [7, 8]. It is possible to do this in a way that the original domain is included in the regularised domain to which we extend the functions and by means of an extension operator. The regularisation applied to the converges on all Besov spaces with . As shown in [19, Lemma 4.3.3.] it does not expand the -norm, which is sufficient. For a smooth domain the statement of Theorem 2.5 is well-known (it can, for instance, be proved along the lines of [6]). We obtain a sequence of functions which satisfy the Navier–Stokes equations as well as the local energy inequality (20). Clearly, they can be constructed to also satisfy the global energy inequality. Hence our sequence is bounded in the energy space
As a consequence, we can bound the convective term in . Now we come to the crucial point: By the maximal regularity theory for the Stokes system from Theorem 3.1 below we have
(21) |
uniformly in . With (21) at hand, we obtain (after passing to a subsequence) limit objects with the claimed regularity and can pass to the limit in the momentum equation and local energy inequality. ∎
Theorem 2.6.
Let be a bounded Lipschitz domain and relatively open. Suppose that for some . There is a number such that the following holds. Let be a boundary suitable weak solution to the Navier–Stokes system (1) near in the sense of Definition 2.4, where with and sufficiently small . Let and such that
(22) |
for some . Then we have for some and a neighborhood of .
Denoting by the -dimensional parabolic Hausdorff measure (and using its definition based on covering with parabolic cubes) it is standard to deduce the following result concerning the size of the singular set from Theorem 2.6.
Theorem 2.7.
Suppose that is a bounded Lipschitz domain such that and for some and sufficiently small . Suppose that . Then there is a solution to the Navier–Stokes equations (1) and a closed set with such that for any we have for some and a neighborhood of .
Our result in Theorem 2.7 is in terms of the size of the singular set weaker than the result in [26] for more regular domains. It is shown there that the dimension of the singular set is one rather than . We comment on this gap in more detail in Section 6.1. It is unlcear if this is an intrinsic feature of irregular domains or a drawback of our method.
3. The Stokes system in irregular domains
In this section we consider the unsteady Stokes system
(23) |
in a domain with unit normal . The result given in the following theorem is a maximal regularity estimate for the solution in terms of the right-hand side under minimal assumption on the regularity of (see Remark 11 for the connecton between Sobolev multipliers and Besov spaces).
Theorem 3.1.
Let and suppose that is a Lipschitz domain with local Lipschitz constant belonging to the class for some sufficiently small , and with , where with . Then there is a unique solution to (23) and we have
(24) |
Remark 3.2.
Remark 3.3.
Theorem 3.1 provides a parabolic counterpart of the result in the steady Stokes system from [2, Theorem 3.1] (with the same assumptions on ). A direct adaption of the ideas used in the proof of the steady analogue from [2, Theorem 3.1] is not straightforward due to the appearance of the time-derivative in the divergence-correction. Hence we follow instead the classical approach from [31] (see also the presentation in [3, Appendix 2]). The idea is to first solve the problem in the flat geometry and built the solution of the original problem by concatenating the (transformed) solutions. This is somewhat the opposite way compared to [2, Theorem 3.1] and leads to various lower order error terms. They can be controlled for small times and we obtain a global-in-time solution by gluing local solutions together.
Remark 3.4.
Proof.
By use of a standard extension operator we can assume that . Otherwise, we can solve the homogeneous problem with solution and set
where
is a continuous linear extension operator and the Bogovskii-operator. The latter solves the divergence equation (with respect to homogeneous boundary conditions on ) and satisfies
(25) |
for all , see [13][Section III.3].
We want to invert the operator
where the space is given by
and is the Helmholtz projection from onto . The Helmholtz-projection of a function is defined as , where is the solution to the Neumann-problem
We will try to find an operator such that
(26) |
where the operator-norm of is strictly smaller than 1. This implies that the range of (which then equals to ) is contained in the range of . Hence is onto.
By assumption there is and functions satisfying (A1)–(A3). We clearly find an open set such that . Finally, we consider a decomposition of unity with respect to the covering of . For we consider the extension of given by (12) with inverse . Denoting by (with the translation and the rotation used in (A1)–(A3), cf. Section 2.4) we define the operators333Note that by means of a standard extension operator we extend functions in (27)–(29) to the whole space or half space when necessary.
(27) |
Here the functions and for are the solutions to the Stokes problem on the whole space and the half space with data respectively (transformed if necessary), that is, we have
(28) |
and
(29) |
We have
(30) |
and for
(31) |
uniformly in . Note that estimates (30)2 and (31)2 only hold locally in space (that is, in balls with a constant depending on the radius). This does not cause any problems due to the localisation functions appearing in (27). Since Lipschitz continuity of implies that of , cf. (15), we can control the right-hand sides in (31) by . Estimates (30) and (31) are classical in the case , see [31, Theorems 3.1 & 3.2]. For the case of arbitrary exponents and we refer to [14] and the references therein. Note that the -dependence in (30)2 and (31)2 follows by simple scaling argument.
The divergence of as defined in (27) is in general not zero. This will be corrected by setting
with the Bogovskii-operator , cf. (25). Now we clearly have and the aim is to establish (26). Transforming and back to , that is, setting and , we obtain
(32) |
where and . There holds
(33) | ||||
(34) | ||||
From (33) it follows
i.e., (26) with . We claim that
(35) |
with for .444Note that this will also depend on which we have to choose sufficiently large to obtain . Estimate (35) follows from estimates (30) and (31). We can translate (31) into an estimate for and via
(36) |
for and similarly
(37) |
recalling estimates (16) and (9). Note that by our assumptions on and (14) we have and thus by (17). Combining the previous arguments proves (35).
Now we are concerned with and obtaining by (15), (9) and the definitions of and
where
So we finally have
and, similarly,
By (13) we have
(38) |
where the right-hand side is conveniently by assumption. Hence we have
Using again the estimates for the problem on the half space from (31) as well as (36) and (37) we conclude
Both and can be chosen conveniently small in dependence on . Similarly, we have
using once more (31) in the last step. In conclusion, choosing first large enough and then small enough we can infer that
(39) |
Now we are going to show the same for . We have
such that
using continuity of the Bogovskii-operator, cf. (25). Since solves (28) we infer from (30) that
Similarly, we obtain from (31)
using also and (15) as well as (7)–(9). Finally, arguing again as in the estimates for above, and using (which holds as a consequence of the Piola-identity)
In conclusion, we have shown
(40) |
for and sufficiently small. As far as is concerned, we have analogously
Note that we also made use of (36). This implies
(41) |
choosing and small enough. Combining (39), (40) and (41) implies . Hence is onto recalling (26). This means we have shown the claim for sufficiently small, say . It is easy to extend it to the whole interval. Let be the solution in . In order to obtain a solution on the whole interval we consider a partition of unity on such that for some and . The functions are the unique solutions to
Applying the result proved for the interval and noticing that and proves the claim in the general case. ∎
4. The perturbed system
In this section we develop a theory for some perturbed Stokes and Navier–Stokes systems which arise from the original one by flattening the boundary (introducing local coordinates as in Section 2.4). The perturbed Navier–Stokes system will be the basis for the partial regularity proof in Section 5 in which we compare its solution locally to a solution to the perturbed Stokes system. By means of Sobolev multipliers we now derive optimal assumptions concerning the coefficients in the latter allowing for a maximal regularity theory.
4.1. Perturbed Navier–Stokes equations
For a boundary suitable weak solution to (1) we define , and , where is the extension of given in (14). We also introduce
(42) |
where . We see that is a solution to the system
(43) | ||||
(44) |
a.a. in . Note that it may be necessary to translate and scale the coordinates in space-time to arrive at a system posed in (rather than in for some , and ). Similarly, we can transform the local energy inequality leading to
(45) |
for any with .
Definition 4.1 (Boundary suitable weak solution perturbed system).
Let be a dataset such that
(46) |
We call the triple a boundary suitable weak solution to the perturbed Navier–Stokes system (43) with data provided that the following holds:
A crucial part of the partial regularity proof in Section 5 will be the comparison of a boundary suitable weak solution of the perturbed Navier–Stokes system with a solution of the perturbed Stokes system. The analysis of the latter is the content of the following subsection.
4.2. Perturbed Stokes equations
In this section we consider, in analogy to (43)–(44), a perturbed Stokes system in of the form
(47) |
where and are given in accordance with (42) for a given function and and are given data. We obtain the following maximal regularity result.
Lemma 4.2.
Let . Suppose that and that for some sufficiently small . Assume further that and with and . Then there is a unique solution to (47) which satisfies
(48) |
where the hidden constant only depends on and .
Proof.
Let us initially assume that and are sufficiently smooth. We rewrite (47) as
(49) |
This is a classical Stokes system in with right-hand side
and given divergence
The known regularity theory (see [12] or [32]) yields
(50) |
The goal is now to estimate the norms of and employing the theory of Sobolev multipliers. First of all, we deduce from (12) and (15) that
using the assumption of a small Lipschitz constant.
Arguing similarly to the proof of Theorem 3.1 we have
as well as
By (13) we have
(51) |
using our assumption in the last step. We conclude that
By analogous arguments we obtain
such that
Combing the estimates for and yields the claim for sufficiently small as a consequence of (50).
Since smoothness of is not a priori known one has to regularise the equations. This can be done by mollifying the function with a standard mollifier. As shown in [19, Lemma 4.3.3.] mollification does not expand the -norm. For the regularised problem the results from [26, Lemma 3.1] apply and we obtain a sufficiently smooth solution. The previous estimates can then be performed uniformly with respect to the mollification parameter and the claimed result follows in the limit. ∎
Lemma 4.3.
Let with . Suppose that and that for some sufficiently small . Assume further that and that . The solution to (47) satisfies
(52) |
where the hidden constant only depends on and .
Proof.
Let us initially suppose that . We consider a cut-off function with in . The functions and solve the system
(53) |
where and are given by
We apply Lemma 4.2 to (53) and obtain
We clearly have
since is Lipschitz by assumption (and so are and , cf. (12) and (16)). Note that we also used Poincaré’s inequality recalling that . For the last term in the above we have
Note that we used in the last step, in addition to the Lipschitz continuity of and , that and belong to the correct mulitplier space by (5) and (17) using the assumption . Similarly, we have
Finally,
Using equation (53) together with strict positivity of and we have
Note that we used again boundedness of and . Combining everything, we have proved (52) for the case (even with norms over on the left-hand side).
Let us now consider the case for the case and arbitrary for . We make the same definitions of and as above but consider a cut-off function with in . By the choice of and Sobolev’s embedding we have
arguing as for the -estimates above (but using ). Similarly, we obtain
Applying now the result from the first step as well as Lemma 4.2 (but with the stronger assumption , see [19, Proposition 3.5.3.] for inclusions of the spaces ) yields again the claim. Note that we still have the restriction if . Iterating this argument based on Sobolev’s embedding and consider appropriate cut-off functions clearly allows any choice of exponent . ∎
We will also need interior estimates for points close to the boundary which is why we consider in analogy to (47) the system
(54) |
in . Arguing exactly as for Lemmas 4.2 and 4.3 we obtain the following results.
Lemma 4.4.
Let . Suppose that and that for some sufficiently small . Assume further that and with . Then there is a unique solution to (54) which satisfies
(55) |
where the hidden constant only depends on and .
Lemma 4.5.
Let with . Suppose that and that for some sufficiently small . Assume further that and that . The solution to (54) satisfies
(56) |
where the hidden constant only depends on and .
5. Blow-up & proof of Theorem 2.6
We consider a boundary suitable weak solution to the perturbed Navier–Stokes system (43)–(44) with forcing as defined in Definition 4.1. We define the excess-functional as
and use the short-hand notation . The following lemma is the bulk of the partial regularity proof and the claim of Theorem 2.6 will follow in a standard manner.
Lemma 5.1.
Let and be given. Suppose that is sufficienlty small. For any there exist constants (small) and (large) such the following implication is true for any triple which is a boundary suitable weak solution to (43)–(44) in in the sense of Definition 2.4, where with : Suppose that
(57) |
then we have
(58) |
where .
Proof.
We argue by contradiction. Suppose there is , and a sequence of boundary suitable weak solution such that
(59) |
as well as
(60) | ||||
(61) |
We obtain from (59)
(62) |
(63) |
where is defined in accordance with (14). Finally, (16) and (17) imply
(64) |
where is the inverse of . We define in
We get from (60) the relation
(65) |
such that, after passing to a subsequence,
(66) | ||||
(67) | ||||
(68) |
On the other hand, (61) reads after scaling
(69) |
In order to proceed we use a scaled version of the equation which reads as
(70) |
By (45) (replacing by ) we have
for all non-negative . Further, note that by (63) and (64) we know that , and are uniformly bounded. Hence the first, third, fourth and fifth term are uniformly bounded by (65). The second term is more delicate and we need to employ Sobolev mutltipliers (see Section 2.3 for a brief introduction). We obtain by (63), (64) and (65)
The remaining integral can be split into
By (63) and (64) we have for arbitrary
(71) |
using also (65) in the last step. Moreover, it holds by (64) and (9)555Note that the assumption would have been sufficient here, see [19, Proposition 3.5.3.] for inclusions of the spaces .
(72) |
Let us choose such that in . Finally, since is elliptic uniformly in and strictly positive by (16), we conclude
(73) |
uniformly in choosing small enough. By Sobolev’s inequality we have for
This shows by (61) and (73) the boundedness of
(74) |
After passing to suitable subsequences we obtain
(75) |
(76) |
by the Aubin-Lions compactness theorem. Recalling the definitions of and from (42) we are able to pass to the limit in (70) using the convergences (63), (64), (66), (67) (73) and (75). We obtain (in the sense of distributions on )
(77) |
recalling that the comvective term disappears as . Note that since relation (8) yields boundedness of and in such that and are pre-compact.
We are now fully prepared to lead (69) to a contradiction applying the regularity theory developed in Section 4 to (70) and (77). We infer from Lemma 4.3 applied to (77), using also (62), that
where the right-hand side is finite on account of (66), (68) and (73). We deduce from parabolic embeddings that belongs to the class , where . Note that for . This, (76) and prove
(78) |
for all for some constant . Let us consider the unique solution to
(79) |
where the first equation is understood in the sense of distributions on . By the regularity theory for the perturbed Stokes system established in Lemma 4.2 (which applies on account of (62)) we have in
(80) |
using (59) and (73). Now we consider the difference , which solves a Stokes system with right-hand side in and hence satisfies
by Lemma 4.3 using also (62). Here the norm on the left-hand side is taken over and the one on the right-hand side over . The first term on the right-hand side is bounded by (65) and the second one by (73) and (80) (recall that has zero boundary conditions). For the third one we have
which is bounded by (66) and (80). We conclude, that (with norm taken over ) is bounded which yields
where . Combining this with (80) and Sobolev’s embedding shows
for some constant . This, together with (78), contradicts (69) if we choose . ∎
Proof of Theorem 2.6.
By assumption we have
After rotation and translation of the coordinate system we can assume that . With the mapping from (14) we turn to the functions and which solve the perturbed system (43) in . Here is given in Remark 2.3 and is chosen such that (recall that is Lipschitz). We obtain with
Furthermore, it holds
provided we choose small enough. If is small enough we obtain
such that a scaled version of Lemma 5.1 applies (note that must be scaled to such that its multiplier norm and Lipschitz constant are still bounded by as long as ). We conclude that
It is standard to iterate this inequality (see, e.g., [11, Prop. 2.5]), which yields
We trivially obtain
(81) |
where the access is given by
The decay estimate (81) holds in the centre point of but also for points on which are sufficiently close. We claim that it continues to hold in the interior of . In fact, we can prove a version of Lemma 5.1 for interior points for which . The main difference is that one has to replace in the proof Lemmas 4.2 and 4.3 by their corresponding interior versions Lemmas 4.4 and 4.5. Combining the interior and the boundary version yields
This proves that in a neighborhood of . Changing coordinates (that is, recalling that where is Lipschitz, cf. (16)) and changing the coordinate system as the case may be, proves for some neighborhood of . ∎
6. Concluding remarks & outlook
6.1. The size of the singular set
We comment in this section on the fact that our estimate on the size of the singular set in Theorem 2.7 (dimension ) is weaker than that from [26] for regular boundaries. We introduce the dissipation functional
The following implication is proved in [26, proof of Theorem 5.1]:
(82) |
where is a small number. The size of the set where the first condition is violated is much smaller than the size of the set where the second one is violated (the parabolic Hausdorff-dimensions are 1 and 5/3). Let us explain the strategy to prove the implication (82). Transforming the local energy inequality to the flat geometry (as we did in (45)) and diving by , they proof (in our notation)
(83) |
Arguing as in (71) and (72) and appreciating the correct scaling (that is, we have , and ), the additional terms
appear in our situation. The first term can be estimated by
and, similarly, we have the upper bound
with arbitrary for the second one. Here the remaining integral can be absorbed in the left-hand side of (83) if is sufficiently small. In conclusion, we obtain an additional (additive) constant on the right-hand side of (83). We could allow a quantity which disappears in the limit , but a nontrivial constant destroys the argument for the proof of (82).
6.2. Optimality of the assumptions on the boundary
We are able to significantly relax the assumptions regarding the regularity of the boundary made in [26] ( versus for some ). However, it is unclear if our assumptions in Theorems 2.6 and 2.7 are optimal or if they can still be weakened. The assumptions on the coefficients for the perturbed Stokes system in Lemma 4.2 are certainly optimal as the theory of Sobolev multipliers already yields optimal results for the Laplace equation, see [19, Chapter 14]. There are various stages in the proof of the blow up lemma (see Lemma 5.1), which require restrictions on the regularity of (and hence that of ):
-
•
In order to control the local energy inequality in the flat geometry second derivatives of appear (see in the proof of (76)). We need (and hence ) to estimate the critical term. We do not expect that it is possible to relax this.
-
•
We need the limit function - solution to some perturbed Stokes system - to be Hölder-continuous. By parabolic embeddings this follows from an estimate in
which requires (and hence ) provided . However, we believe that Hölder-continuity of can be proved under much weaker assumptions. Unfortunately, we were unable to trace a suitable reference. Of course, it will be absolutely necessary to have continuity of solutions of the perturbed Stokes system. The latter is used as a local comparison system and continuity of the solution to the perturbed Navier–Stokes system cannot be expected otherwise.
-
•
In order to control the decay of the pressure to arrive at the contradiction in the blow up lemma (see Lemma 5.1) we need an estimate for in with some . For this, the same assumptions on as in the previous bullet point are needed. Here, we expect that it will be very difficult to relax this. Note in particular, that the Stokes system does not allow for estimates on the pressure in spaces with differentiability less than 1 (as in this case the time derivative only exists as a distribution on the solenoidal test-functions). This estimate also motivated the choice of our excess functional for which the time-integrability of the pressure is chosen as large as possible, while it should still coincide with the space integrability (in fact, one could allow a smaller space integrability, but this does not seem to improve the estimate for the size of the singular set). The more customary choice
introduced initially in [18], requires the more restrictive assumption . The original excess functional from [6], which is based on the function space for the pressure, leads to the condition instead. In general, for one has the condition .
6.3. Fluid-structure interaction
In a typical problem from fluid-structure interaction an elastic structure is located at a non-trivial part , where plays the role of a reference geometry. The deformation of the structure is described by a function and the domain is deformed to defined through its boundary
where is the outer unit normal at . The Navier–Stokes equations are posed in the moving space-time cylinder given by
with some abuse of notation. The displacement is the solution to a hyperbolic equation, a proto-typical example is
(84) |
with describing a linearised Koiter-type shell. The function on the right-hand side describes the response of the structure to the surface forces of the fluid imposed by the Cauchy stress. The existence of a weak solution to the coupled system has been shown in [17]. Solutions belong to the energy space which means for the structure that
The second function space (and Sobolev’s embedding in two dimensions) indicates that the boundary of is not even Lipschitz. With only this information at hand we do not expect that a theory similar to that in the present paper is reachable. It has, however, been shown very recently in [20] that solutions satisfy additionally
(85) |
for all . Due to the compact embeddings
from some we obtain and as required in Theorems 2.6 and 2.7. Unfortunately, this smallness is not uniformly in time. While we expect that methods similarly to those developed here can also be applied to study Navier–Stokes equations in moving domains (this is already highly non-trivial and requires some additional research), it is not clear if the regularity from (85) will be sufficient. Some further analysis is required.
Compliance with Ethical Standards
Conflict of Interest. The author declares that he has no conflict of interest.
Data Availability. Data sharing is not applicable to this article as no datasets were generated or analysed during the current study.
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