space whose weak divergence vanishes is a weak curl of a function from H0,N(curl,Ω); 3) each function
from the L2
∗(Ω) space is a weak divergence of a function from H0,N(div,Ω). Similarly, the second line is
the counterpart of the first one on the discrete, finite-dimensional, piecewise polynomial, level, see e.g.,
Boffi et al. [9] and the references therein. The passage between the first and the second line is then the
key interest in this contribution, where the three operators Pp+1,grad
h,Pp,curl
h, and Pp,div
h,p≥0, should:
1. be defined over the entire infinite-dimensional spaces H1
0,N(Ω), H0,N(curl,Ω), and H0,N(div,Ω);
2. be defined locally, in a neighborhood of mesh elements at most;
3. be based on simple piecewise polynomial projections;
4. be stable in L2(Ω) for H0,N(curl,Ω) and H0,N(div,Ω) and in L2(Ω) of the weak gradient for H1
0,N(Ω),
up to data oscillation;
5. have optimal approximation properties, i.e., that of local-best unconstrained L2-orthogonal projec-
tors;
6. satisfy the commuting properties expressed by the arrows in (1.1);
7. be projectors, i.e., leave intact objects that are already in the piecewise polynomial spaces.
There is an immense literature devoted to (1.1). A first consideration for the operators Pp+1,grad
h,
Pp,curl
h, and Pp,div
his given by the canonical projectors, see Ciarlet [18], N´ed´elec [42], and Raviart and
Thomas [44], respectively. These satisfy many of the properties above, but, unfortunately, not prop-
erty 1, since their action is not defined on all objects from the entire infinite-dimensional spaces H1
0,N(Ω),
H0,N(curl,Ω), and H0,N(div,Ω). The commuting diagram (1.1) has been addressed at the abstract level
of the finite element exterior calculus in, e.g., Christiansen and Winther [17], still leading to the loss
of some of the desirable properties, namely the locality. Simultaneous definition on the entire Sobolev
spaces, locality, commutativity, and the projection property have been achieved in Falk and Winther [31],
though the stability in the L2(Ω) norms (up to data oscillation) and the local-best unconstrained ap-
proximation properties have not been addressed; the stability in the L2(Ω) norms been recently achieved
in Arnold and Guzm´an [2]. Two different sets of projectors, satisfying together (but not individually) all
properties 1–7, were then designed in Ern and Guermond [27,28]. Finally an operator Pp,div
hsatisfying
the integrality of the requested properties (all 1–7above) has been recently devised in Ern et al. [26,
Section 3.1].
The first goal of the present contribution is to design an operator Pp,curl
hsatisfying the integrality of
the requested properties 1–7. Definition 3.3 is designed to this purpose, relying on (a slight modification
of) Pp,div
hfrom [26], see Definition 3.1, and using similar building principles as in [26]. The main result
here is Theorem 3.6. The central technical tool allowing to achieve the commuting property is related
to equilibration in H(curl,Ω). A first contribution in this direction is that of Braess and Sch¨oberl [11].
Recent extensions to higher polynomial degrees are developed in Gedicke et al. [35,36] as well as in [16],
which we use here. All 1–7come handy namely in a priori error estimates (especially property 5) and
in approximation classes in proofs of convergence and optimality based on posteriori error estimates.
All 1–7also turn useful in localized orthogonal decomposition techniques for multiscale problems, cf. [33]
and the references therein.
Our contribution stands apart from the existing literature namely in the satisfaction of property 5.
This leads to the result of equivalence of global-best (tangential-trace- and curl-constrained) and local-
best (unconstrained) approximations in H(curl,Ω), see Theorem 3.9. This result, not taking into account
data oscillation, has been recently established in [14], building on the seminal contribution by Veeser [46]
in the H1(Ω)-setting and on [26] in the H(div,Ω)-setting, see also the references therein. Here, we present
a direct proof. We take into account data oscillation, which actually turns out quite demanding. A related
result giving rise to an operator with local-best approximation properties in the general framework of
finite element spaces of differential forms has recently been obtained in Gawlik et al. [34]; it, however,
does not address the curl constraint.
Yet a separate, and involved, question in numerical analysis is that of deriving hp-approximation
estimates. This has been addressed in the H(div,Ω)- and H(curl,Ω)-settings in particular in Suri [45],
Monk [41], Demkowicz and Buffa [22], and Demkowicz [21], see also the references therein. These ref-
erences feature a slight suboptimality in the polynomial degree pon tetrahedral meshes (presence of a
logarithmic factor), which has been removed in Bespalov and Heuer [7,8] and recently in Melenk and Ro-
jik [40]. Unfortunately, none of these references allows for minimal Sobolev regularity. The result in [26,
2