Stability of the Stokes projection on weighted spaces and applications
Ricardo G. Duran, Enrique Otarola, Abner J. Salgado

TL;DR
This paper proves the stability of the finite element Stokes projection on weighted spaces with Muckenhoupt weights in convex polytopes, enabling improved error estimates for Stokes problems with singular sources.
Contribution
It establishes stability results for the Stokes projection on weighted spaces with variable integrability, extending previous work to more general weights and dimensions.
Findings
Stability of the Stokes projection on weighted spaces in 2D and 3D.
Application of stability results to error estimation for singular source problems.
Extension of stability analysis to weights in the Muckenhoupt class.
Abstract
We show that, on convex polytopes and two or three dimensions, the finite element Stokes projection is stable on weighted spaces , where the weight belongs to a certain Muckenhoupt class and the integrability index can be different from two. We show how this estimate can be applied to obtain error estimates for approximations of the solution to the Stokes problem with singular sources.
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Stability of the Stokes projection on weighted spaces and applications
Ricardo G. Durán
IMAS (UBA-CONICET) and Departamento de Matemática, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
,
Enrique Otárola
Departamento de Matemática, Universidad Técnica Federico Santa María, Valparaíso, Chile.
and
Abner J. Salgado
epartment of Mathematics, University of Tennessee, Knoxville, TN 37996, USA.
Abstract.
We show that, on convex polytopes and two or three dimensions, the finite element Stokes projection is stable on weighted spaces , where the weight belongs to a certain Muckenhoupt class and the integrability index can be different from two. We show how this estimate can be applied to obtain error estimates for approximations of the solution to the Stokes problem with singular sources.
2010 Mathematics Subject Classification:
Primary 35Q35, 35Q30, 35R06, 65N15, 65N30, 76Dxx.
The first author was partially supported by ANPCyT grant PICT 2014-1771, by CONICET grant 11220130100006CO, and by Universidad de Buenos Aires grant 20020120100050BA
The second author was partially supported by FONDECYT grant 11180193.
The third author was partially supported by NSF grant DMS-1720213.
1. Introduction
In this work we shall be interested in the stability and approximation properties of the finite element Stokes projection when measured over weighted norms. To be precise, let and be a convex polytope. Assume that is a family of quasiuniform triangulations of parametrized by their mesh size and is a pair of finite element spaces constructed over the mesh . To describe the question that we wish to address here let , with solenoidal (see Section 2 for notation), and define to be its Stokes projection, i.e., the pair is such that
[TABLE]
With this notation, the main result in our work is that, for a certain range of integrability indices and a certain class of Muckenhoupt weights , we have
[TABLE]
Our main motivation for the development of such estimates is the study of the Stokes problem
[TABLE]
in the case where the forcing term is allowed to be singular. Essentially, by introducing a weight, we can allow for forces such that . In particular, our theory will allow the following particular examples. For a fixed we can set , where denotes the Dirac delta supported at the interior point . Similarly, if denotes a smooth curve or surface without boundary contained in , we can allow the components of to be measures supported in .
While the stability and approximation properties for the Stokes problem in energy type norms has a rich history and is by now well established, the derivation of these properties in non energy norms is more delicate. To our knowledge, the first works that address these questions in a non energy setting are [13, 18]. In these references, the authors establish a -norm almost stability (up to logarithmic factors) in two dimensions. Later, in view of the weighted a priori estimate for a solution of the divergence operator of [17], the results of [18] were extended to three dimensions; see [17, Section 3] for a discussion. We would also like to mention reference [8] for results on domains with smooth boundaries. Results withouth logarithmic factors where first established in [25], albeit under certain restrictions on the internal angles of the domain. This last assumption was finally removed in [24]. The state of the art is that, simply put, the Stokes projection is stable in for if the domain is a convex polytope.
We must remark that, in the PDE literature, the idea of introducing weights to handle singular sources is by now well established. There is a vast amount of literature dealing with weighted a priori estimates for solutions of elliptic equations and systems, and for models of incompressible fluids that are even more general than (1.3); see for instance [6]. However, in most of these works, it is usually assumed that the domain is at least , which is not finite element friendly. Two exceptions are [14, 35]. In [14] the well posedness of the Poisson problem in is established for all and , provided is a convex polytope. In addition, the stability of the Ritz projection is obtained for and , and for and . On the other hand, [35] works on general Lipschitz domains, and shows that the Poisson and Stokes problems are well posed, provided , that depends on the domain, is restricted to a neighborhood of and the weight is regular near the boundary ( in the notation of that work).
From the discussion given above, it is clear that the stability of the Stokes projection is open and, in light of applications, needed. This is the main contribution of our work.
Our presentation will be organized as follows. We set notation in Section 2, where we also recall the definition of Muckenhoupt weights and introduce the weighted spaces we shall work with. In addition, in Section 2.2, we introduce a saddle point formulation of the Stokes problem (1.3) in weighted spaces and review well-posedness results. In Section 3 we introduce the discrete setting in which we will operate. Section 4 is dedicated to obtaining the stability of the finite element Stokes projection in weighted spaces; this is one of the highlights of our work. As an immediate application, Section 5 studies the development of –error estimates for the error approximation of the velocity field. We also specialize these results and study the approximation of the Stokes problem with a forcing term that is a linear combination of Dirac measures. All the developments of the previous sections rest on a series of assumptions on the finite element velocity–pressure pairs. For this reason in, the final, Section 6 we derive a continuous weighted inf–sup condition and study some suitable finite element pairs that satisfy all the assumptions that our theory rests upon.
2. Notation and preliminaries
We begin by fixing notation and the setting in which we will operate. Throughout this work and is an open, bounded, and convex polytope. If and are Banach function spaces, we write to denote that is continuously embedded in . We denote by and the dual and the norm of , respectively.
For open and , we set
[TABLE]
For , the Hardy–Littlewood maximal operator is defined by
[TABLE]
where the supremum is taken over all cubes containing .
Given , we denote by its Hölder conjugate, i.e., the real number such that . By we will denote that , for a constant that does not depend on , nor the discretization parameters. The value of might change at each occurrence.
2.1. Weights and weighted Sobolev spaces
By a weight we mean a locally integrable, nonnegative function defined on . If is a weight and we set
[TABLE]
Of particular interest to us will be the so–called Muckenhoupt weights [12, 32, 40].
Definition 2.1** (Muckenhoupt class ).**
Let we say that a weight if
[TABLE]
where the supremum is taken over all balls in . In addition, . We call , for , the Muckenhoupt characteristic of .
Notice that there is a certain symmetry in the classes with respect to Hölder conjugate exponents. If , then its conjugate and
[TABLE]
We comment also that, following [12, Chapter 7.1], an equivalent characterization of is that for almost every ,
[TABLE]
The class of weights was introduced by Muckenhoupt in [32] where he showed that the weights are precisely those weights for which the Hardy-Littlewood maximal operator is bounded on weighted Lebesgue spaces; see [32] and [12, Theorem 7.3].
Distances to lower dimensional objects are prototypical examples of Muckenhoupt weights. In particular, if is a smooth compact submanifold of dimension then, owing to [2] and [21, Lemma 2.3(vi)], we have that the function
[TABLE]
belongs to the class provided
[TABLE]
This allows us to identify three particular cases:
- (i)
Let and , then the weight if and only if . 2. (ii)
Let and be a smooth closed curve without self intersections. We have that if and only if . 3. (iii)
Finally, if and is a smooth surface without boundary, then if and only if .
It is important to notice, first, that in all the examples shown above we have that either the weight or its inverse, which is the conjugate within the class, belongs to . Second, since the lower dimensional objects are strictly contained in , there is a neighborhood of where the weight has no degeneracies or singularities. In fact, it is continuous and strictly positive. This observation motivates us to define a restricted class of Muckenhoupt weights that will be of importance for the analysis that follows. The next definition is inspired by [21, Definition 2.5].
Definition 2.2** (class ).**
Let be a Lipschitz domain. For we say that belongs to if there is an open set , and positive constants and , such that:
- (a)
, 2. (b)
, and 3. (c)
for all .
Notice that the weights described in (i)–(iii) belong to the restricted Muckenhoupt class . The latter has been shown to be crucial in the analysis of [35] that guarantees the well–posedness of problem (1.3) in the weighted Sobolev spaces that we define below.
Let , , and be an open set. We define as the space of Lebesgue –integrable functions with respect to the measure . We also define the weighted Sobolev space as the set of functions with weak derivatives for . The norm of a function is given by
[TABLE]
We also define as the closure of in . It is remarkable that most of the properties of classical Sobolev spaces have a weighted counterpart. This is not because of the specific form of the weight but rather due to the fact that the weight belongs to the Muckenhoupt class . If and belongs to , then and are Banach spaces [40, Proposition 2.1.2] and smooth functions are dense [40, Corollary 2.1.6]; see also [27, Theorem 1]. In addition, [20, Theorem 1.3] guarantees a weighted Poincaré inequality which, in turn, implies that over the seminorm is an equivalent norm to the one defined in (2.5).
Spaces of vector valued functions will be denoted by boldface, that is
[TABLE]
where .
For future use we recall a particular Sobolev–type embedding theorem between weighted spaces. For the general case we refer to [7, 22, 30] and [34, Section 6].
Proposition 2.3** (embedding in weighted spaces).**
Let and . Assume that, for all and , we have that
[TABLE]
then and .
2.2. The Stokes problem in weighted spaces
We begin with a motivation for the use of weights. Let us assume that (1.3) is posed over the whole space and that for some . The results of [23, Section IV.2] thus provide the following asymptotic behavior of the solution to problem (1.3) near the point :
[TABLE]
so that . However, basic computations reveal that, for every ball ,
[TABLE]
This heuristic suggests to seek solutions to problem (1.3) in weighted Sobolev spaces [6, 35]. In what follows we will make these considerations rigorous.
Let . Given , we seek for such that
[TABLE]
where denotes the duality pairing between and . Finally, to shorten notation, here and in what follows, we set
[TABLE]
The well–posedness of (2.7) in Lipschitz domains was studied in [35, Theorem 17]. The main result is summarized below.
Proposition 2.4** (well–posedness in weighted spaces).**
Let and be a Lipschitz domain. There exists such that if , , and , problem (2.7) is well posed. In other words, for all problem (2.7) has a unique solution and the following stability estimate holds
[TABLE]
Remark 2.5* ().*
Strictly speaking [35, Theorem 17] only shows well–posedness for . However, using the equivalent characterization of well–posedness via inf–sup conditions given in [4, Theorem 2.1], see also [19, Exercise 2.14], one can deduce that (2.7) is also well–posed for .
Notice that Proposition 2.4 assumes only that the domain is Lipschitz. Finer results can be obtained provided more information on the domain is available. Since we are working on convex polytopes we have the following result; see [31, Corollary 1.8].
Proposition 2.6** (–regularity).**
Let and be a convex polytope. If and , then the solution of (1.3) is such that
[TABLE]
with a corresponding estimate.
3. Finite element approximation
We now introduce the discrete setting in which we will operate. We first introduce some terminology and a few basic ingredients and assumptions that will be common to all our methods.
3.1. Triangulation and finite element spaces
We denote by a conforming partition, or mesh, of into closed simplices with size and define . We assume that is a collection of conforming and quasiuniform meshes [9, 19]. For , we define the star or patch associated with the element as
[TABLE]
In the literature, several finite element approximations have been proposed and analyzed to approximate the solution to the Stokes problem (2.7) when the forcing term of the momentum equation is not singular; see, for instance, [19, Section 4], [26, Chapter II], and references therein. Initially we shall not be specific about the type of finite element approximation that we are using. We will only state a set of assumptions that our discrete spaces need to satisfy. Given a mesh , we denote by and the finite element spaces that approximate the velocity field and the pressure, respectively, constructed over . We assume that, for every and ,
[TABLE]
In addition, we require that functions in and are locally polynomials of degree at least one and zero, respectively. Moreover, we need to assume that these spaces are compatible, in the sense that they satisfy weighted versions of the classical LBB condition [19, Proposition 4.13]. Namely, we assume that if then, there exists a positive constant such that, for all ,
[TABLE]
3.2. A quasi–interpolation operator
Since our interest is to approximate rough functions the classical Lagrange interpolation operator cannot be applied. Instead, we can consider a variant of the quasi–interpolation operator analyzed in [34]. Its construction is inspired in the ideas developed by Clément [10], Scott and Zhang [38], and Durán and Lombardi [15]: it is built on local averages over stars and is thus well–defined for locally integrable functions; it also exhibits optimal approximation properties.
For , we let be the space of piecewise linear, continuous, functions over the mesh . For , we define to be the interpolation operator of [34] onto piecewise linears. Define . For , we set to be the operator applied component–wise and accordingly modified to preserve boundary conditions.
To define an interpolant onto the pressure space we distinguish two cases. If contains piecewise constants, then, for , we simply define to be the local average of . On the other hand, if contains piecewise linears , where is chosen so that .
To alleviate notation, if there is no source of confusion, we shall use to denote indistinctely or . The properties of are summarized below. For a proof we refer the reader to [34, Section 5].
Proposition 3.1** (stability and interpolation estimates).**
Let , , and . Then, for every , we have the local stability bound
[TABLE]
and the interpolation error estimate
[TABLE]
The hidden constants, in (3.3) and (3.4), are independent of , , and .
This operator also enjoys the following approximation property [34, Section 6].
Proposition 3.2** (interpolation in different metrics).**
Assume that is such that Proposition 2.3 holds. Then, for every , we have that
[TABLE]
Similarly, for , we have
[TABLE]
The hidden constants in the previous inequalities are independent of the functions being iterpolated, the cell , and .
3.3. Approximate Green’s function
Let be such that for some . Let be a regularized Dirac delta satisfying the following properties:
; 2. 2.
; 3. 3.
; 4. 4.
for all .
We refer to [39] and [5, Exercise 8.1] for a construction of such a function. Notice that, if and , we have
[TABLE]
With these ingredients at hand, we define a regularized Green’s function as the solution to the following problem: Find such that
[TABLE]
where . Notice that the functions and depend on and the indices and . However, to alleviate notation we will omit this dependence.
We also define , the Stokes projection of , as the solution to the discrete problem: Find such that
[TABLE]
Let be a fixed positive number such that for any the ball contains . For , we define the weight function , introduced by Natterer [33], as
[TABLE]
where is a parameter independent of but such that ; see [24, Section 1.7]. We recall that this weight verifies [25, inequality (0.18)]
[TABLE]
We shall assume that if , , , and is quasiuniform, then there exists such that for all and for all meshsizes such that , we have
[TABLE]
Examples of spaces that satisfy this assumption will be presented below.
4. Discrete stability estimates in weighted spaces
Let , , with solenoidal, and the pair be the finite element approximation of . Our goal in this section is to, on the basis of the weighted compatibility conditions (3.2), derive the weighted stability estimate (1.2). To do so, we must place some restrictions on the range of the integrability and the weight . We codify these in the following assumption
[TABLE]
where is as in Proposition 2.4 and is its Hölder conjugate.
Theorem 4.1** (weighted stability estimate).**
Let and be an open convex polytope. Assume that (S) holds and that with solenoidal. Let be its finite element Stokes projection. If the spaces satisfy (3.2) and (3.9), then estimate (1.2) holds. The hidden constant in this estimate is independent of , , and .
Proof.
We begin by noticing that, by density, it suffices to show the estimate assuming that and are smooth.
We split the proof in several steps.
Assume that we have already shown that
[TABLE]
Utilizing the first discrete inf–sup condition of (3.2) and that solves (1.1), we arrive at
[TABLE]
which immediately yields
[TABLE]
This, in view of (4.1), implies the desired bound for . 2. 2.
Assume that and . Set in (3.6) to arrive at
[TABLE]
Set now in (1.1) and use that for all to obtain
[TABLE]
Using that , we can thus conclude the identity
[TABLE]
Since the bilinear form is symmetric, we have
[TABLE]
Notice that here we used the smoothness assumption on to be able to assert that this is an admissible test function in (3.5).
Let now . The previous equality implies that
[TABLE]
where we have used that is supported on and that .
We estimate the terms , , and with the help of (3.9), similar arguments to those developed in the proof of [14, Theorem 3.1], and modifications inspired by [36]. We begin by controlling the term . Since the weight , we utilize that the Hardy–Littlewood maximal operator is continuous from to to arrive at
[TABLE]
We now control and . Using the weight , defined in (3.7), and its property (3.8) we have that for any
[TABLE]
and
[TABLE]
Thus, we have that
[TABLE]
Assume now that with . In this case estimate (3.9) immediately yields
[TABLE]
In addition, the arguments developed in the proof of [14, Theorem 3.1] yield
[TABLE]
where, in the last step, we used (2.3). In conclusion, we obtained that
[TABLE]
A collection of the estimates for the terms , , and yield (4.1) when . 3. 3.
It remains to consider the case with . Notice that so that, as in [14, Corollary 3.3], we will reduce our considerations to the previous case. Since and then, as Proposition 2.4 shows, for every we conclude that the Stokes problem
[TABLE]
is well-posed in . So that we have the estimate
[TABLE]
Let be the Stokes projection of we have
[TABLE]
The stability of the Stokes projection in and the bound on yield
[TABLE]
The proof is thus complete. ∎
As usual, the a priori estimate (1.2) implies a best approximation result à la Cea.
Corollary 4.2** (best approximation).**
In the setting of Theorem 4.1, assume, in addition, that , and . Then we have that
[TABLE]
where the hidden constant is independent of , , and .
Proof.
The proof is rather standard but we reproduce it here for the sake of completeness. Notice that, if and are arbitrary, by linearity of (1.1) we obtain that, for all we have
[TABLE]
Let now be the unique solution of
[TABLE]
As shown in Proposition 2.4, the assumptions on the integrability index and the weight allow us to conclude that this problem is well posed and we have the estimate
[TABLE]
Notice now that is nothing but the finite element approximation of . This, in conjunction with Theorem 4.1 and (4.3) then yields
[TABLE]
Conclude with the triangle inequality. ∎
5. Error estimates
We now provide a –error estimate for the error approximation of the velocity field. For that, obviously, one needs to assume that Proposition 2.3 holds, so that .
In what follows, for a weight , we denote by . The main error estimate is provided below.
Theorem 5.1** (error estimate).**
Let and be such that condition (S) holds. Assume, in addition, that the compatibility condition required for Proposition 2.3 to be valid holds. Let with solenoidal, and let be its Stokes projection, defined as the solution of (1.1). In this setting, we have that
[TABLE]
where the hidden constant is independent of , , and .
Proof.
We proceed in several steps on the basis of a duality argument.
We begin by recalling that, owing to Proposition 2.6, for every we have that, if , the Stokes problem: find
[TABLE]
is well–posed, , and
[TABLE] 2. 2.
Since and satisfies the compatibility condition of Proposition 2.3 we can use the results of the previous step with and the embedding results of Proposition 2.3 to conclude that
[TABLE]
with an estimate. 3. 3.
Let and note that , which is finite given the assumption on and the embedding results of Proposition 2.3. 4. 4.
With this choice of fixed, we would like to set in (5.2) to obtain
[TABLE]
However, since , so that (5.4) must be justified by a density argument. Namely, let be such that in . Since , we set in (5.2) and arrive at
[TABLE]
Now, since ,
[TABLE]
as . Similar arguments reveal that as . Finally, in view of the continuous embedding , the right hand side of (5.5) converges to . These arguments yield (5.4). 5. 5.
From (5.4) and (1.1) we have, for an arbitrary pair ,
[TABLE]
where we also used that is solenoidal. Set now and , i.e., the Stokes projection of . Galerkin orthogonality once again yields
[TABLE]
Consequently
[TABLE] 6. 6.
As a final step we must bound the first term on the right hand side of the previous estimate. Notice that, with , and what we are trying to estimate is the error in the velocity component of the Stokes projection in . This means that, since , we can apply Corollary 4.2 provided condition (S) holds, that is
[TABLE]
and
[TABLE]
which is true by assumption. The best approximation result of Corollary 4.2, the interpolation estimates of Proposition 3.2, and the regularity estimate given in (5.3) then yield
[TABLE]
Conclude by observing that, since , for we have that
[TABLE]
This concludes the proof ∎
5.1. Application: The Stokes problem with delta sources
Let us now, as an application, show how Theorem 5.1 can be applied to the case of singular forces described in item i of Section 2.1. Assume that with , i.e., it is a finite collection of points. We now define
[TABLE]
with . We begin by establishing the suitable functional framework.
Proposition 5.2** ().**
Assume that , then , , and .
Proof.
The bounds on guarantee that and . In addition, since , we have that .
Now, owing to [28, Remark 21.19], a compactly supported Radon measure belongs to the dual of if
[TABLE]
for some . Setting and we get
[TABLE]
which is finite provided . ∎
The previous result shows that, if in (1.3), then this problem has a unique solution . The following result is the missing ingredient to obtain error estimates via Theorem 5.1.
Proposition 5.3** (embedding).**
If , then .
Proof.
We only need to verify the condition of Proposition 2.3. In this case, we have
[TABLE]
The provided bounds on guarantee that this ratio is uniformly bounded. ∎
We can now obtain an error estimate. Notice that since , the results of Theorem 4.1 and Corollary 4.2 apply.
Corollary 5.4** (error estimate).**
Let and solve (1.3) with . Let be the finite element approximation of . In the setting of Theorem 5.1 we have, for every ,
[TABLE]
where the hidden constant does not depend on , , nor , but blows up as .
Proof.
Proposition 5.2 guarantees that there is a unique pair that solves (1.3). In addition, Proposition 5.3 guarantees that . The rest is just an application of Theorem 5.1. In this case, we have that
[TABLE]
and
[TABLE]
The blowup of the constants is due to the fact that in the limiting case the embedding does no longer hold. ∎
We conclude by commenting that via similar techniques we can consider the cases described in items ii and iii of Section 2.1.
6. Examples of suitable pairs
To conclude our analyisis, we study some pairs that satisfy assumptions (3.2), (3.9) so that the theory we have presented above applies.
We begin with a continuous weighted inf–sup condition that immediately follows from the existence of a right inverse of the divergence.
Lemma 6.1** (continuous weighted inf–sup).**
Let and . For all we have that
[TABLE]
where the hidden constant depends only on and , but not on .
Proof.
Let and we define . Notice that
[TABLE]
so that and, since is bounded . Consequently, we can set and we conclude that with
[TABLE]
Our final initial observation is that, since has zero mean,
[TABLE]
Recall now that there is such that
[TABLE]
where the constant in the estimate is independent of ; see [16, Theorem 3.1], [37, Theorem 1], [11, Theorem 5.2], or [1, Theorem 2.8] for a proof. As a consequence, we have
[TABLE]
As we intended to show. ∎
6.1. The mini element
This pair is considered in [3], [19, Section 4.2.4] for the unweighted case and it is defined by:
[TABLE]
where denotes the space spanned by local bubble functions.
We must immediately note that, for , assumption (3.9) is proved in [24, Theorem 12] and [25, Theorem 8.1]. Thus, we focus on the weighted LBB condition (3.2). This will be obtained with the aid of the, auxiliary, continuous inf–sup condition (6.1).
Theorem 6.2** (discrete inf–sup condition).**
Let and . If and are defined by (6.2) and (6.3), respectively, then we have that
[TABLE]
where the hidden constant is independent of .
Proof.
Our argument will be based on (6.1) and the construction of a so–called Fortin operator [19, Lemma 4.19]. Given , we will construct such that
[TABLE]
with a hidden constant independent of . To accomplish this task, we first notice that, if then, for all , . Consequently, an integration by parts argument reveals that must be such that
[TABLE]
Let denote the quasi–interpolation operator introduced in Section 3.2. We define
[TABLE]
Here, denotes the canonical basis of , ; , and is the bubble function associated with . We thus have that the discrete function satisfies (6.6) if
[TABLE]
It thus remains to prove the stability bound . Write
[TABLE]
and notice that the local stability estimate (3.3) and the finite overlapping property of stars yield
[TABLE]
To bound we use the interpolation estimate (3.4) and properties of the bubble function to obtain
[TABLE]
Consequently,
[TABLE]
Since shape regularity allows us to conclude that
[TABLE]
where we have used (2.2) and the finite overlapping property of stars. The collection of the derived estimates for and yield
[TABLE]
The Fortin operator is thus constructed and this concludes the proof. ∎
6.2. The Taylor Hood pair
The lowest order Taylor Hood element [29], [42], [19, Section 4.2.5] is defined by
[TABLE]
In two dimensions, estimate (3.9) for this pair is also obtained in [24, Theorem 12] and [25, Theorem 8.1]. In three dimensions, these references only show this result for certain classes of meshes. As a consequence, we will focus on (3.2). Notice that, as in the unweighted case, the technique of proof must differ from that used in Section 6.1. We will follow the ideas of [41, Section 3]; see also [19, Section 4.2.5].
We begin with a preparatory step.
Lemma 6.3** (perturbation).**
Let and . Assume that all are such that every has at least edges in , and that and are defined as in (6.7) and (6.8), respectively. Then we have that
[TABLE]
where the hidden constant does not depend on .
Proof.
We denote by , and be the sets of interior edges, interior vertices, and interior edge midpoints, respectively, of . Let and we set to be a unit vector in the direction of e. Notice that there is a bijection between and .
For we define as
[TABLE]
and
[TABLE]
Let be the Lagrange nodal basis for piecewise quadratics over . Upon expanding on this basis we realize that
[TABLE]
Recall now (see [19, Tables 8.2 and 8.3]) that for there is a quadrature formula on the unit simplex which is exact for quadratics, it is supported on the vertices and edge midpoints of the simplex, and has positive weights on the midpoints. Let be the weights of this formula, then we have that
[TABLE]
where, in the last step, we used that the mesh assumption implies that for any element the collection spans . Conclude by recalling that is constant over . ∎
With this result at hand we now prove (3.2) for the Taylor Hood pair.
Theorem 6.4** (discrete inf–sup condition).**
In the setting of Lemma 6.3, we have
[TABLE]
where the hidden constant is independent of .
Proof.
Given , let be the function constructed in the course of the proof of (6.1) and the interpolant, onto , described in Section 3.2. The properties of and arguing as in the proof of (6.1) show that
[TABLE]
Integration by parts, and the properties of show that
[TABLE]
Lemma 6.3 allows us to conclude. ∎
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