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Research article

Lp compactness criteria with an application to variational convergence of some nonlocal energy functionals

  • Received: 13 July 2023 Revised: 10 August 2023 Accepted: 14 August 2023 Published: 14 September 2023
  • Motivated by some variational problems from a nonlocal model of mechanics, this work presents a set of sufficient conditions that guarantee a compact inclusion in the function space of Lp vector fields defined on a domain Ω that is either a bounded domain in Rd or Rd itself. The criteria are nonlocal and are given with respect to nonlocal interaction kernels that may not be necessarily radially symmetric. Moreover, these criteria for vector fields are also different from those given for scalar fields in that the conditions are based on nonlocal interactions involving only parts of the components of the vector fields. The Lp compactness criteria are utilized in demonstrating the convergence of minimizers of parameterized nonlocal energy functionals.

    Citation: Qiang Du, Tadele Mengesha, Xiaochuan Tian. Lp compactness criteria with an application to variational convergence of some nonlocal energy functionals[J]. Mathematics in Engineering, 2023, 5(6): 1-31. doi: 10.3934/mine.2023097

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  • Motivated by some variational problems from a nonlocal model of mechanics, this work presents a set of sufficient conditions that guarantee a compact inclusion in the function space of Lp vector fields defined on a domain Ω that is either a bounded domain in Rd or Rd itself. The criteria are nonlocal and are given with respect to nonlocal interaction kernels that may not be necessarily radially symmetric. Moreover, these criteria for vector fields are also different from those given for scalar fields in that the conditions are based on nonlocal interactions involving only parts of the components of the vector fields. The Lp compactness criteria are utilized in demonstrating the convergence of minimizers of parameterized nonlocal energy functionals.



    The present work is motivated by the study of nonlocal peridynamics models initially proposed by Silling in [31]. In particular, the state-based peridynamics model given in [31,32,33] postulates that the total strain energy for constitutively linear, isotropic solid undergoing deformation is given by

    Wρ(u)=βΩ(Dρ(u)(x))2dx+αΩΩρ(xx)(D(u)(x,x)1dDρ(u)(x))2dxdx (1.1)

    where ΩRd is a bounded domain occupied by the solid material, the kernel ρ(|ξ|) is a nonnegative locally integrable and radial weight function that measures the interaction strength between material particles at position x and x, u is a displacement field, D(u) is a rescaled nonlocal operator on u defined by [11]

    D(u)(x,x)=(u(x)u(x))|xx|(xx)|xx|=(u(x)u(x))T(xx)|xx|2, (1.2)

    representing a (unit-less) linearized nonlocal strain [32] and the operator Dρ is a nonlocal linear operator (a weighted version of D [11,12]), called 'nonlocal divergence', which is defined as

    Dρ(u)(x):=p.v.Ωρ(xx)D(u)(x,x)dx (1.3)

    which is a means of incorporating the effect of the collective deformation of a neighborhood of x into the model. The positive constants α and β are proportional to the shear and bulk moduli of the material, respectively. The quadratic energy in (1.1) is a generalization of the bond-based model that was introduced in [31] and studied in [1,13,15,23,37] that takes in to account the linearized strain due to the dilatation and the deviatoric portions of the deformation. Mathematical analysis of linearized peridynamic models have been extensively studied in [10,11,12,13,15,23,24,37] along with results geared towards nonlinear models in [3,4,9,14,19,25].

    For ρL1loc, it is not difficult to show (see Lemma 2.3 below) that the energy space associated with the energy functional Wρ, {uL2(Ω;Rd):Wρ(u)<}, is precisely

    Sρ,2(Ω)={uL2(Ω;Rd):|u|2Sρ,2<}, (1.4)

    where the seminorm |u|Sρ,2 is defined by

    |u|2Sρ,2:=ΩΩρ(yx)|(u(y)u(x))|yx|(yx)|yx||2dydx.

    Notice that |u|Sρ,2=0, if and only if u is an infinitesimal rigid vector field. We denote the class of infinitesimal rigid displacements by

    R:={u:u(x)=Bx+v,BT=B,vRd}.

    It has been shown in [23,25] that Sρ,2(Ω) with the natural norm

    uSρ,2=(u2L2+|u|2Sρ,2)1/2

    is a separable Hilbert space. In the event that ρ(ξ)|ξ|2L1loc(Rd), then the space Sρ,2(Ω) coincides with L2(Ω,Rd). Otherwise, Sρ,2(Ω) is a proper subset of L2(Ω,Rd) that is, nevertheless, big enough to contain W1,2(Ω;Rd) and there exists a constant C=C(d,2,Ω)>0 such that

    |u|2Sρ,2CSym(u)2L2ρL1(R),uW1,2(Ω;Rd)

    where Sym(u)=12(u+uT) is the symmetric part of the gradient u.

    Under the additional assumption that ρ is positive in a small neighborhood of the origin, it is shown in [23, Theorem 1], via an application of Lax-Milgram, that for any applied load fL2(Ω;Rd), the potential energy

    Eρ(u)=Wρ(u)Ωfudx (1.5)

    has a minimizer over any weakly closed subset V of Sρ,2(Ω) such that VR={0}. See also [25, Theorem 1.1] for the more general convex energies of p-growth.

    The analysis of the convergence of variational problems of the type in (1.5) associated with a sequence of parameterized kernels has garnered a lot of attention in recent years. Namely, if we have a sequence of locally integrable radial kernels ρn, how do the associated potential energies Eρn, as well as their minimizers behave as n? Clearly, this will depend first on the behavior of the convergence properties of the sequence of kernels. In fact, it is shown in [25] that if the sequence of L1 kernels {ρn} converge in the sense of measures to a measure with atomic mass at 0 (Dirac-measure at 0) and for each n, r2ρn(r) is nonincreasing, then the sequence {Eρn} variationally converges to the classical Navier-Lamé potential energy E0 given by

    E0(u)=μΩ|Sym(u)|2dx+λ2Ω(div(u))2dxΩfudx,

    where μ and λ are constants that can be expressed in terms of α and β. This is what is called nonlocal-to-local convergence and the result is used as a rigorous justification that state-based peridynamics modeling recovers the classical linearized elasticity models in the event of vanishing nonlocality.

    In this paper, we consider another type of convergence of sequence of kernels and study the behavior of the associated energy functionals, which leads to nonlocal-to-nonlocal convergence. More specifically, suppose we are given a nonnegative kernel ρL1loc(Rd) with the property that

    ρ is radial ,ρ(ξ)>0 for ξ is close to 0,|ξ|2ρ(|ξ|) is nonincreasing in |ξ|, (1.6)

    and

    limδ0δ2(Bδρ(ξ)dξ)1=0. (1.7)

    and consider a sequence of nonnegative, radial kernels {ρn}nN each satisfying (1.6) and that

    ρnρa.e. and ρnρa.e. in Rd. (1.8)

    It then follows that ρnρ strongly in L1loc(Rd) as n. We will establish a clear connection between the sequence of energies {Eρn} and Eρ. Most importantly, we will show that minimizers of the energies Eρn over an admissible class will converge to a minimizer of Eρ over the same admissible class. The notion of variational convergence we use is Γ-convergence (see [21]) which we define below. The advantage of Γ-convergence is that under the additional assumption of equicoercivity of the functionals it implies the convergence of minimizers as well [21, Theorem 7.8 and Corollary 7.202].

    Definition 1.1. Suppose that ¯En:L2(Ω;Rd)R{}, 1n. We say that the sequence ¯En Γ- converges to ¯E in the L2-topology if and only if

    a) for every sequence {un}L2(Ω;Rd) with unu in L2(Ω;Rd), as n, we have ¯E(u)lim infn¯En(un),

    b) and for every uL2(Ω;Rd) there exists a recovery sequence unu in L2(Ω;Rd), such that ¯E(u)=limn¯En(un).

    The following is one of the main results of the paper on the variational limit of the nonlocal functionals {¯En}.

    Theorem 1.2. Suppose ρ and {ρn} satisfies (1.6)–(1.8). The sequence of functionals ¯En Γconverges in the strong L2(Ω;Rd) topology to the functional ¯Eρ, where the extended functionals {¯En(u)}n are defined as

    ¯En(u)={Eρn(u),if uSρn,2(Ω),,if uL2(Ω;Rd)Sρn,2(Ω), (1.9)

    where Sρn,2(Ω) and {Eρn}n< are defined as before in (1.4) and (1.5), respectively, where ρ is replaced by ρn. The extended functional ¯Eρ is similarly defined. Moreover, if V is a weakly closed subset of L2(Ω;Rd) such that VR={0}, and for each n, un minimizes Eρn over VSρn,2(Ω), then the sequence {un} is precompact in L2(Ω;Rd) with any limit point belonging to Sρ,2(Ω) and minimizing Eρ over VSρ,2(Ω).

    Although the discussion above is focused on the case of quadratic peridynamic energies for ease of explaining the main ideas, the result can naturally be extended to small strain nonlocal nonlinear peridynamic models with p-growth, for p2, that have been introduced in [33] and whose variational analysis investigated in [25].

    We will prove Theorem 1.2 in the sections that follow. But we would like to highlight that this result has an important implication in the numerical approximation of minimizers of Eρ over an admissible class. Indeed, compactness results have been quite useful for analyzing numerical approximations of nonlocal problems in various contexts such as [8,34,35]. In the context discussed in this work, let us take for an example that ρ(ξ)=1|ξ|d+2(s1) for s(0,1). This kernel satisfies (1.6) and (1.7). It is also clear that ρ(ξ)|ξ|2 is not integrable on any bounded domain containing 0. In the event Ω has a smooth boundary, the energy space Sρ,2(Ω) coincides with the fractional Sobolev space Hs(Ω;Rd) see [27,30]. In particular, if 1/2<s<1, then all functions in Sρ,2(Ω) have continuous representative. Now, if VSρ,2(Ω) is a weakly closed subset of L2(Ω;Rd) such that VR={0}, a minimizer of Eρ over V exists (and will be in Hs(Ω;Rd)). The analysis of the existence and uniqueness of the minimizer u of this quadratic energy can also, equivalently, be found by solving the corresponding Euler-Lagrange equation. The latter gives us a way of numerically solving the solution by writing it first in the weak form and then applying the Galerkin approach of choosing a finite-dimensional subspace MV to solve for a projected solution of u on M. Notice that for s(0,1/2) the finite-dimensional subspace M can contain discontinuous functions, while for s(1/2,1), all the elements of M must be continuous in order for M to be conforming, that is, for MSρ,2(Ω). In the latter case, if one wants to employ the advantageous discontinuous Galerkin approximation, which is now nonconforming, one needs to find an effective way to implement it to the model problem. The result in Theorem 1.2 will allow us to develop approximation schemes by solving a sequence of Euler-Lagrange equations of modified energies. To demonstrate this, define the sequence of kernels

    ρn(ξ)={ρ(ξ)if ρ(ξ)n|ξ|2n|ξ|2if ρ(ξ)n|ξ|2.

    It is not difficult to check that, for each n, ρn satisfies (1.6), (1.8), and that the functions ρn(ξ)|ξ|2L1loc(Rn) are just truncations of the fractional kernel |ξ|d2s (at level n). As discussed before, the energy space associated with Eρn will coincide with L2(Ω;Rd) and a unique minimizer unVSn of Eρn exists. Since the admissible space is a subspace of L2(Ω;Rd) that avoids nontrivial infinitesimal rigid displacements, we may use discontinuous finite element spaces, denoted by Mn,h, for the standard conforming Galerkin approximation to the solution of the Euler-Lagrange equation associated with the energy Eρn. This, in turn, can be viewed as a nonconforming discontinuous Galerkin scheme to numerically solve the original Euler-Lagrange equations when the discretization parameter h goes to zero and at the same time the truncation level n goes to infinity. Intuitively, for large n, by Theorem 1.2, u is approximated by un (in the L2 norm), and then un will be numerically approximated by un,hMn,h. The proper convergence analysis of this nonconforming numerical scheme as h0 and n simultaneously has been carried out in [34] in the special case of scalar nonlocal problems when the subspace V is the set of scalar-valued functions uL2(Ω;Rd) such that u vanishes outside of a fixed set Ω which is compactly contained in Ω. The analysis in [34] makes use of the framework of asymptotically compatible schemes for parameter-dependent problems first developed in [35] and the vanishing of the functions in the admissible class around the volumetric-boundary ΩΩ is crucial for employing certain compactness arguments. To extend the convergence analysis in [34] to the case of a system of strongly coupled nonlocal equations, the variations problems associated with (1.5), solved over any admissible set that does not include infinitesimal rigid vector fields, Theorem 1.2 as well as some of the compactness results we prove in this paper will be crucial. Such analysis on nonconforming discontinuous Galerkin numerical schemes to systems of nonlocal equations under discussion will be carried out in a future work.

    Although it is beyond the scope of this work, in passing, we would like to note that this way of developing a nonconforming numerical scheme is also applicable to fractional PDEs where singular kernels are more common [5,36]. The idea is the same where we use less singular kernels with truncation both at origin and at infinity to do approximation of fractional PDEs. In this case, sequential compactness of nonlocal spaces associated with the truncated fractional kernel together with the compact embedding of fractional Sobolev spaces in Lp can be used to carry out the analysis of the resulting asymptotically compatible schemes [35,36].

    The proof of Theorem 1.2 fundamentally depends on some structural properties of the nonlocal space Sρ,2(Ω), chief among them are compact embedding into L2(Ω;Rd) and a Poincaré-type inequality, which we will establish in this paper. In fact, these properties remain true even for the spaces Sρ,p(Ω), where for 1p<,

    Sρ,2(Ω)={uLp(Ω;Rd):|u|Sρ,p<},

    and

    |u|pSρ,p=ΩΩρ(yx)|(u(y)u(x))|yx|(yx)|yx||pdydx

    gives a semi norm. It is shown in [20,25] that, for any 1p<, Sρ,p(Ω) is a separable Banach space with the norm

    uSρ,p=(upLp+|u|pSρ,p)1/p,

    and is reflexive if 1<p< and a Hilbert space for p=2. If |ξ|pρ(ξ)L1loc(Rd), then a simple calculation shows that Sρ,p(Ω)=Lp(Ω;Rd). On the other hand, in the case where |ξ|pρ(ξ)L1loc(Rd), Sρ,p(Ω) is a proper subset of Lp(Ω;Rd). Under some extra assumptions on the kernel ρ, the space is known to support a Poincaré-Korn type inequality over subsets that have trivial intersections with R. These functional analytic properties of the nonlocal space can be used to demonstrate the well-posedness of some nonlocal variational problems using the direct method of calculus of variations, see [25] for more discussions.

    As in the case of p=2, we assume that for a given 1p<,

    ρ is radial,ρ(r)>0 for r is close to 0, and rpρ(r) is nonincreasing in r, (1.10)

    and

    limδ0δp(Bδ(0)ρ(ξ)dξ)1=0. (1.11)

    We now state the compactness result whose proof is one of the main objectives of the present work.

    Theorem 1.3 (Lp compactness). Let 1p< and let ρL1loc(Rd) be nonnegative and satisfying (1.10) and (1.11). Suppose also that ΩRd is a domain with Lipschitz boundary. Then Sρ,p(Ω) is compactly embedded in Lp(Ω;Rd). That is, any bounded sequence {un} in Sρ,p(Ω) is precompact in Lp(Ω;Rd). Moreover, any limit point is in Sρ,p(Ω).

    The condition given by (1.11) requires ρ to have an adequate singularity near 0. A straightforward calculation shows that the kernels satisfying (1.11) include ρ(ξ)=|ξ|(d+p(s1)), for any p[1,), and any s(0,1), and ρ(ξ)=|ξ|pdln(|ξ|). It is no surprise that (1.11) is violated if |ξ|pρ(ξ) is a locally integrable function (and therefore, Sρ,p(Ω)=Lp(Ω;Rd)), and in fact, in this case

    lim infδ0δp(Bδ(0)ρ(ξ)dξ)1=,

    see [25]. It is not clear whether condition (1.11) is necessary for compact embedding even for the class of kernels that are radial and nonincreasing. There are radial kernels with the property that |ξ|pρ(ξ) is (locally) nonintegrable, and

    limδ0δp(Bδ(0)ρ(ξ)dξ)1=c0>0

    for which we do not know whether there is a compact embedding Sρ,p(Ω) into Lp(Ω;Rd). One such kernel is ρ(ξ)=|ξ|pd. Nevertheless, we can prove that the associated space Sρ,p(Ω) is compact in the Lploc topology, a result which we will state and prove in the appendix.

    For scalar fields, compactness results like those stated above are commonplace for spaces corresponding to special kernels such as the standard fractional Sobolev spaces. In [22, Lemma 2.2], for more general radial and monotone decreasing kernels ρ, condition (1.11) is shown to be sufficient for the compact embedding of the space

    {fL2(Ω):ΩΩρ(yx)|f(y)f(x)|2|yx|2<}

    in L2(Ω). The statement is certainly true for any 1p<. The proof of [22, Lemma 2.2] actually relies on and modifies the argument used to prove another type of compactness result by Bourgain, Brezis and Mironescu in [6, Theorem 4] that applies criteria involving a sequence of kernels. The argument of [6] uses extensions of functions to Rd where the monotonicity of ρ is used in an essential way to control the semi-norm of the extended functions by the original semi-norm. That is, let us introduce a sequence of radial functions ρn satisfying

    n1,ρn0,Rdρn(ξ)dξ=1,and limn|ξ|>rρn(ξ)dξ=0,r>0. (1.12)

    Assuming that for each n, ρn is nonincreasing, and if

    supn1ΩΩρn(yx)|fn(y)fn(x)|p|yx|p<, (1.13)

    then {fn} is precompact in Lp(Ω), which is the result of [6, Theorem 4] obtained by showing that (1.13) makes it possible to apply a variant of the Riesz-Fréchet-Kolomogorov theorem [7]. In [22, Lemma 2.2], for a fixed ρ, the condition (1.11) is used to replace the role played by the condition (1.12). In [28, Theorem 1.2], the same result as in [6, Theorem 4] was proved by dropping the monotonicity assumption on ρn for d2. In addition, the proof in [28] avoids the extension of functions to Rd but rather shows that the bulk of the mass of each fn, that is Ω|fn|p, comes from the interior and quantifies the contribution near the boundary. As a consequence, if (1.13) holds, then as n there is no mass concentration or leak at the boundary, two main causes of failure of compactness. The compactness results were applied to establish some variational convergence results in [29]. Clearly if one merely replaces scalar functions in (1.13) by vector fields, both compactness results [6, Theorem 4] and [28, Theorem 1.2] will remain true. It turns out the results will remain valid for vector fields even under a weaker assumption. Indeed, following the argument [6, Theorem 4] and under the monotonicity assumption that for n, ρn is nonincreasing, it was proved in [20, Theorem 5.1] that if un is a bounded sequence of vector fields satisfying

    supn1ΩΩρn(yx)|D(un)(x,y)|pdydx< (1.14)

    then {un} precompact in the Lploc(Ω;Rd) topology with any limit point being in W1,p(Ω;Rd) when 1<p<, and in BD(Ω) when p=1. Here, BD(Ω) is the space of functions with bounded deformation. Later, again under the monotonicity assumption on ρn, but using the argument of [28, Theorem 1.2] instead, it was proved in [25, Proposition 4.2] that in fact, (1.14) implies that {un} is precompact in the Lp(Ω;Rd) topology. In this paper, we will prove a similar result relaxing the requirement that ρn is a Dirac-Delta sequence.

    Theorem 1.4. Let ρL1loc satisfy (1.10) and (1.11). For each n, ρn is radial and ρn satisfies (1.10) and that

    ρn0,ρnρ,weakly in L1loc(Rd),and ρncρ

    for some c>0. Then, if {un} is a bounded sequence in Lp(Ω;Rd) such that (1.14) holds, then {un} is precompact in Lp(Ω;Rd). Moreover, any limit point is in Sρ,p(Ω).

    A natural by-product of Theorem 1.4 is the Poincaré-Korn type inequality stated below.

    Corollary 1.5 (Poincaré-Korn type inequality). Suppose that 1p< and V is a weakly closed subset of Lp(Ω;Rd) such that VR={0}. Let ρL1loc satisfies (1.10) and (1.11). Let ρn be a sequence of radial functions, and for each n, ρn satisfies (1.10) and that

    ρn0,ρnρ,weakly in L1loc(Rd), and ρncρ

    for some c>0. Then there exist constants C>0 and N1 such that

    Ω|u|pdxCΩΩρn(yx)|(u(y)u(x))|yx|(yx)|yx||pdydx (1.15)

    for all uVLp(Ω;Rd) and nN. The constant C depends only on V,d,p, ρ, and the Lipschitz character of Ω.

    We note that the Poincaré-Korn-type inequality has been proved for Dirac-Delta sequence of kernels ρn [23,25]. The corollary extends the result to sequence of kernels that weakly converge to a given function ρ satisfying (1.10) and (1.11).

    The rest of the paper is devoted to prove the main results and it is organized as follows. We prove Theorem 1.2 in Section 2. Theorem 9.1 and Proposition 3.5 are proved in Section 3. The proof of Theorems 1.3 and 1.4 and Corollary 1.5 are presented in Section 4. Further discussions are given at the end of the paper.

    In this section we will prove the Γ-convergence of the sequence of energies Eρn defined in (1.5). The proof relies on a sequence of results on the limiting behavior of functions as well as the action of operators. To that end, we assume that ρ and {ρn} satisfy (1.6)–(1.8) throughout this section. We begin with the convergence properties of the nonlocal divergence operator.

    Lemma 2.1. Suppose that unu strongly in L2(Ω;Rd), uSρ,2(Ω), and that {Dρn(un)} is uniformly bounded in L2(Ω). Then Dρn(un)Dρ(u) weakly in L2(Ω).

    Proof. We recall the nonlocal integration by parts formula ([25,26]) that for any vW1,20(Ω)

    ΩDρn(un)v(x)dx=ΩGn(v)(x)un(x)dx

    where Gn(v)(x) is the nonlocal gradient operator

    Gρn(v)(x)=p.v.Ωρn(yx)v(y)+v(x)|yx|yx|yx|dy.

    Now for vC1c(Ω), we may rewrite the nonlocal gradient as

    Gρn(v)(x)=Ωρn(yx)v(y)v(x)|yx|yx|yx|dy+2Ωρn(yx)v(x)|yx|yx|yx|dy.

    and estimate as [26, Corollary 2.4],

    Gρn(v)L3ρnL1vLCρL1vL.

    Also, it is not difficult to show that for all xΩ, Gρn(v)(x)Gρ(v)(x). This follows from the convergence of ρn to ρ in L1loc(Rd). We thus conclude that for vC1c(Ω),

    Gρn(v)Gρ(v)strongly in L2.

    Thus from the above integration by parts formula we have that for any vC1c(Ω)

    limnΩDρn(un)v(x)dx=limnΩGρn(v)(x)un(x)dx=ΩGρ(v)(x)u(x)dx=ΩDρ(u)v(x)dx.

    The last inequality is possible because uSρ,2(Ω). Now for any vL2(Ω), let us choose vmC1c(Ω) such that vmv strongly in L2(Ω). Then we have for each n,m that

    ΩDρn(un)v(x)dx=ΩDρn(un)vm(x)dx+Rn,m

    where

    |Rn,m|=|ΩDρn(un)(v(x)vm(x))dx|Dρn(un)L2(Ω)vmvL2(Ω).

    Therefore using the fact that Dρn(un)L2(Ω) is uniformly bounded in n, we have that limmsupnN|Rn,m|=0 and so we have

    lim infnΩDρn(un)v(x)dx=limnΩDρn(un)vm(x)dx+lim infnRn,m=ΩDρ(u)vm(x)dx+lim infnRn,m.

    We now take m and use the fact that Dρ(u)L2(Ω) to complete the proof the lemma.

    Lemma 2.2. Suppose that unu strongly in L2(Ω;Rd), uSρ,2(Ω), and that supnNWρn(un)C<. Then it holds that

    ΩΩρ(xx)(D(u)(x,x)1dDρ(u)(x))2dxdxlim infnΩΩρn(xx)(D(un)(x,x)1dDρn(un)(x))2dxdx. (2.1)

    Proof. Let A⊂⊂Ω and φCc(B1(0)). For ϵ<dist(A,Ω), consider the sequence of functions φϵun and φϵDρn(un) defined for xA, where φϵ(z)=ϵdφ(z/ϵ) is standard mollifiers. Then since unu strongly in L2, for a fixed ϵ>0, we have as n,

    φϵunφϵuin C2(¯A;Rd) andφϵDρn(un)φϵDρ(u)strongly in L2(A). (2.2)

    The latter follows from Lemma 2.1 and the fact that the convolution is a compact operator. Using Jensen's inequality, we have that for each ϵ>0 small and n large

    AAρn(xx)(D(φϵun)(x,x)1dφϵDρn(un)(x))2dxdxAAρn(xx)(D(un)(x,x)1dDρn(un)(x))2dxdx. (2.3)

    The left hand side of (2.3) can be rewritten after change of variables as

    AAρn(xx)(D(φϵun)(x,x)1dφϵDρn(un)(x))2dxdx=Rdρn(z)AχA(x+z)(D(φϵun)(x,x+z)1dφϵDρn(un)(x))2dxdz.

    Using (2.2), the sequence of functions

    zAχA(x+z)(D(φϵun)(x,x+z)1dφϵDρn(un)(x))2dx 

    converges in L(Ω) as n to

    zAχA(x+z)(D(φϵu)(x,x+z)1dφϵDρ(u)(x))2dx

    where we use the simple inequality |a2b2|||a|+|b|||ab| and the assumption that uSρ,2(Ω). Using the convergence of ρn to ρ in L1loc(Rd) and taking the limit in (2.3) we conclude that for each ϵ>0,

    AAρ(xx)(D(φϵu)(x,x)1dφϵDρ(u)(x))2dxdxlim infnAAρn(xx)(D(un)(x,x)1dDρn(un)(x))2dxdx.

    Now inequality (2.1) follows after applying first Fatou's lemma in ϵ and noting that A⊂⊂Ω was arbitrary.

    Let us state some elementary inequalities that relate the energy Wρ(u) and its integrand with that of the seminorm |u|Sρ,2. The proof follows from direct calculations and uses a simple application of Hölder's inequality.

    Lemma 2.3. For a given ρL1loc(Rd) and Ω bounded such that for uSρ,2(Ω) and xΩ we have

    Dρ(u)2(x)ρL1(BR(0))Ωρ(xy)|D(u)(x,y)|2dy,Ωρ(yx)(D(u)(x,y)1dDρ(u)(x))2dyC(d,ρL1(BR(0)))Ωρ(xy)|D(u)(x,y)|2dy.

    Moreover, we have positive constants C1 and C2, depending on ρ,Ω, and d, such that for all uSρ,2(Ω)

    C1|u|2Sρ,2(Ω)Wρ(u)C2|u|2Sρ,2(Ω).

    Proof of Theorem 1.2. The proof has two parts: the demonstration of the Γ-convergence of the energy functionals and the proof of the convergence of minimizers. For the first part, following the definition of Γ-convergence, we prove the two items in Definition 1.1.

    Item a) Suppose that unu strongly in L2. We will show that

    ¯Eρ(u)lim infn¯En(un).

    Since ΩfundxΩfudx as n, we only need to show that

    Wρ(u)lim infnWρn(un).

    To that end, we will assume without loss of generality that lim infnWρn(un)<, and so (up to a subsequence) supnNWρn(un)C<. Then we have that {Dρn(un)} is uniformly bounded in L2(Ω) and {|un|Sρn,2} is uniformly bounded as well, by Lemma 2.3. To prove the desired inequality it suffices to show that

    Ω(Dρ(u))2dxlim infnΩ(Dρn(un))2dx (2.4)

    and

    ΩΩρ(xx)(D(u)(x,x)1dDρ(u)(x))2dxdxlim infnΩΩρn(xx)(D(un)(x,x)1dDρn(un)(x))2dxdx. (2.5)

    To show (2.4), using the weak lower semicontinuity of norm, it suffices to show that Dρn(un)Dρ(u) weakly in L2(Ω). But this is proved in Lemma 2.1 after noting the above assumption.

    Inequality (2.5) will follow from Lemma 2.2 if we show uSρ,2(Ω). But under the assumptions on the sequence un, the conclusion uSρ,2(Ω) follows from Theorem 1.4 that will be proved in the coming sections.

    Item b) For a given uL2(Ω), we take the recovery sequence to be un=u. Now if uL2(Ω)Sρ,2(Ω), then by definition ˉE(u)= and necessarily lim infnEρn(u)=. Otherwise, up to a subsequence (nor renamed) supnEρn(u)< and

    [u]2Sρn,2C(Eρn(u)+uL2)C+uL2,

    where we used Lemma 2.3. Then by passing to the limit and using Fatou's lemma, we have [u]2Sρ,2<, that is, uSρ,2(Ω), which is a contradiction. In the event that uSρ,2(Ω), we may use (1.8) to get the pointwise convergence and Lemma 2.3 to get appropriate bounds of the integrand of Wρn(u) to apply the Dominated Convergence Theorem and conclude that lim infnWρn(u)=Wρ(u), from which Item b) follows.

    We next prove the second part of the theorem, the convergence of minimizers. To apply [21, Theorem 7.8 and Corollary 7.202], we need to prove the equicoercvity of the functionals restricted to VSρn,2. That is, for unVSρn,2 such that supn1Eρn(un)<, we need to show that the sequence {un} is precompact in L2(Ω;Rd). To that end, first a positive constant C>0 and for all n1

    [un]2Sρn,2C(Eρn(un)+unL2)C+unL2.

    Using the uniform Poincaré-Korn inequality, Theorem 1.5, for all large n we have that unL2C[un]Sρn,2 and as a consequence

    [un]2Sρn,2C(1+[un]Sρn,2)for all n large.

    It then follows that [un]Sρn,2 is uniformly bounded and therefore, by the uniform Poincaré-Korn inequality, unL2(Ω) is bounded as well. We now use the compactness result, Theorem 1.4, to conclude that {un} is precompact in L2(Ω;R2) with limit point u in Sρ,2(Ω)V. We may now apply [21, Theorem 7.8 and Corollary 7.202] to state that u is a minimizer of Eρ over Sρ,2(Ω)V.

    The proof of the Lp compactness result, Theorem 1.3, will be carried out in two steps. We establish first compactness in Lploc topology followed by proving a boundary estimate that controls growth near the boundary of the domain. The Lploc compactness will be proved in this section under a weaker assumption on the kernel. In fact Lploc compactness will be stated and proved for a broader class of kernels that include kernels of the type ˜ρ(ξ)χBΛ1(ξ) where ˜ρ satisfies (1.10) and (1.11), where BΛ1={xB1:x/|x|Λ} is a conic region spanned by a given a nontrivial spherical cap ΛSd1. To make this and the condition of the theorem precise, we begin identifying the kernel ρ by the representative

    ρ(x)={limh0Bh(x)ρ(ξ)dξ,if x is a Lebesgue point,,otherwise.

    For θ0(0,1) and vSd1, let us define

    ρθ0(rv)=infθ[θ0,1]ρ(θrv)θp.

    It is clear that for a given vSd1, ρθ0(rv)ρ(θrv)θp for any θ[θ0,1] and r(0,). In particular, this implies ρθ0(ξ)ρ(ξ) for any ξ, with the equality holds if ρ is radial and |ξ|pρ(ξ) is nonincreasing in |ξ|.

    We now make a main assumption on ρ that

    θ0(0,1),ΛSd1 and v0Λ such that Hd1(Λ)>0,ρθ0(rv)=ρθ0(rv0),(r,v)(0,)×Λ,andlimδ0δpδ0ρθ0(rv0)rd1dr=0. (3.1)

    Assumption (3.1) says that, on a conic region with apex at the origin, the kernel ρ is above a nonnegative function with appropriate singular growth near the origin. Note that on one hand, it is not difficult to see if ρL1loc(Rd) is a nonnegative function that satisfies (1.10) and (1.11), then it also satisfies (3.1). On the other hand, if ˜ρ satisfies (1.10) and (1.11), then given a nontrivial spherical cap Λ and conic region BΛ1={xB1:x/|x|Λ}, the kernel ρ(ξ)=˜ρ(ξ)χBΛ1(ξ) satisfies (3.1) (with θ0 being any number in (0,1) and v0 representing any vector in Λ) but not necessarily (1.10) and (1.11). For kernels of this form, we need the formulation in (3.1) to carry out the proof of Lploc compactness. We should also note that one can construct other ρ that are not of the above form that satisfy (3.1), see [6, Eq (17)].

    Theorem 3.1 (Lploc compactness). Suppose that 1p<. Let ρL1(Rd) be a nonnegative function satisfying (3.1). Suppose also that {un} is a sequence of vector fields that is bounded in Sρ,p(Rd). Then for any DRd open and bounded, the sequence {un|D} is precompact in Lp(D;Rd).

    We should mention that although the focus is different, operators that use non-symmetric kernels like those satisfying the condition (3.1) have been studied in connection with semi-Dirichlet forms and the processes they generate, see [2,16] for more discussions. In particular, most of the examples of kernels listed in [16, Section 6] satisfy condition (3.1).

    We begin with the following lemma whose proof can be carried out following the argument used in [28]. Let uLp(Rd;Rd) be given, we introduce the function Fp[u]:Rd[0,) defined by

    Fp[u](h)=Rd|(u(x+h)u(x))h|h||pdx,for hRd.

    Lemma 3.2. Suppose that θ0 is given as in (3.1). There exists a constant C=C(θ0,p)>0 such that for any δ>0, and vSd1

    Fp[u](tv)Cδpδ0ρθ0(sv)sd1ds0ρ(hv)hd1Fp[u](hv)hpdh,

    for any 0<t<δ and any uLp(Rd,Rd).

    Proof. For any vSd1 and tR, we may rewrite the function Fp as

    Fp[u](tv)=Rd|(u(x+tv)u(x))v|pdx.

    It follows from [28, Lemma 3.1] that given 0<s<t, there exist Cp and θ=tsk(0,1) (k an integer) such that

    Fp[u](tv)tpCp{Fp[u](sv)sp+Fp[u](θsv)tp}.

    We also have that for a given l0N,

    Fp[u](θsv)lp0Fp[u](θsl0v)2(p1)lp0{Fp[u](sv)+Fp[u](ssθl0v)}.

    Combining the above we have that for any l0, there exists a constant C=C(p,l0) such that

    Fp[u](tv)tpC(p,l0){Fp[u](sv)sp+Fp[u](˜θsv)tp},where ˜θ=1θl0. (3.2)

    Now let us take θ0 as given in (3.1) and choose l0 large that 1l0<1θ0. It follows that θ0<˜θ1. Then for any δ>0, and any 0<s<δτ, by multiplying both sides of inequality (3.2) by ρθ0(vs) and integrating from 0 to δ, we obtain

    δ0ρθ0(sv)sd1dsFp[u](τv)τpC(p,l0){δ0ρθ0(sv)sd1Fp[u](sv)spds+δ0ρθ0(sv)sd1Fp[u](˜θsv)τpds}.

    Let us estimate the second integral in the above:

    I=1τpδ0ρθ0(sv)sd1Fp[u](˜θsv)ds.

    We first note that using the definition of ρθ0 and since δτ, we have

    I1θd10τ0ρ(˜θsv)(˜θs)d1Fp[u](˜θsv)(˜θs)pds.

    The intention is to change variables h=˜θs. However, note that ˜θ is a function of s, and by definition

    ˜θs=(kl0+1)sτl0for kτs<k+1.

    It then follows by a change of variables that

    I1θd10k=1τkτ(k+1)ρ(˜θsv)(˜θs)d1Fp[u](˜θsv)(˜θs)pds=1θd10k=1τkτ(11l0)(k+1)ρ(hv)hd1Fp[u](hv)hpdhkl0+1C0ρ(hv)hd1Fp[u](hv)hpdh,

    where in the last estimate integrals over overlapping domains were counted at most a finite number of times. Combining the above estimates we have shown that there exists a constant C such that for any vSd1, δ>0 and τδ

    (δ0ρθ0(sv)sd1ds)Fp[u](τv)τpC0ρ(hv)hd1Fp[u](hv)hpdh.

    Rewriting the above and restricting vΛ we have that

    Fp[u](τv)Cτpδ0ρθ0(sv)sd1ds0ρ(hv)hd1Fp[u](hv)hpdh.

    Now let 0<t<δ and applying the above inequality for τ=δ and τ=t+δ, we obtain

    Fp[u](tv)=Fp[u]((t+δ)vδv)2p1{Fp[u]((t+δ)v)+Fp[u](δv)}Cδpδ0ρθ0(sv)sd1ds0ρ(hv)hd1Fp[u](hv)hpdh.

    This completes the proof.

    Lemma 3.3. Suppose that ρL1loc(Rd) and there exists a spherical cap ΛSd1 and a vector v0Λ such that the function ρ(rv)=ρ(rv0)=˜ρ(r), for all vΛ and rrp˜ρ(r) is nonincreasing. Then there exists a constant C=C(d,p,Λ) such that for any δ>0, and vΛ,

    Fp[u](tv)Cδpδ0˜ρ(s)sd1ds0ρ(hv)hd1Fp[u](hv)hpdh,

    for any 0<t<δ and any uLp(Rd,Rd).

    Proof. It suffices to note that for ρL1loc(Rd) that satisfies the conditions in the statement of the proposition, we have that for any θ0(0,1), and any vΛ,

    ρθ0(rv)=rpinfθ[θ0,1]ρ(θrv)(θr)p=ρ(rv)=ρ(rv0)=˜ρ(r).

    We may then repeat the argument in the proof of Lemma 3.2.

    Before proving one of the main results, we make an elementary observation.

    Lemma 3.4. Let 1p<. Given a spherical cap Λ with aperture θ, there exists a positive constant c0, depending only on d,θ and p, such that

    infwSd1ΛSd1|ws|pdσ(s)c0>0.

    The above lemma follows from the fact that the map

    wΛSd1|ws|pdσ(s)

    is continuous on the compact set Sd1, and is positive, for otherwise the portion of the unit sphere Λ will be orthogonal to a fixed vector which is not possible since Hd1(Λ)>0.

    From the assumption we have

    supn1unpLp+supn1RdRdρ(xx)|D(un)(x,x)|pdxdx<. (3.3)

    We will use the compactness criterion in [20, Lemma 5.4], which is a variant of the well-known Riesz-Fréchet-Kolmogorov compactness criterion [7, Chapter Ⅳ.27]. Let Λ be as given in (3.1). For δ>0, let us introduce the matrix Q=(qij), where

    qij=ΛsisjdHd1(s).

    The symmetric matrix Q is invertible. Indeed, the smallest eigenvalue is given by

    λmin=min|x|=1Qx,x=min|x|=1Λ|xs|2dHd1(s)

    which we know is positive by Lemma 3.4. We define the following matrix functions

    P(z)=dQ1zz|z|2χBΛ1(z),Pδ(z)=δdP(zδ)

    where BΛ1={xB1:x/|x|Λ}, as defined before. Then for any δ>0,

    RdPδ(z)dz=I.

    To prove the theorem, using [20, Lemma 5.4], it suffices to prove that

    limδ0lim supnunPδunLp(Rd)=0. (3.4)

    We show next that the inequality (3.3) and condition (3.1) imply (3.4). To see this, we begin by introducing the notation BΛδ={xBδ(0):x/|x|Λ} and applying Jensen's inequality to get

    Rd|un(x)Pδun(x)|pdxRd|RdPδ(yx)(un(y)un(x))dy|pdxRd||Λ|Q1BΛδ(x)(yx)|yx|(un(y)un(x))(yx)|yx|dy|pdx|Λ|pQ1pRd|BΛδ(x)(yx)|yx|(un(y)un(x))(yx)|yx|dy|pdx|Λ|pQ1p|BΛδ|δ0Λτd1Fp[un](τv)dHd1(v)dτC(d,p)|BΛδ|δ0Λτd1Fp[un](τv)dHd1(v)dτ (3.5)

    where as defined previously

    Fp[un](τv)=Rd|v(un(x+τv)un(x))|pdx.

    Moreover, the fact that |Λ|pQ1pC(d,p,Λ) for any δ>0 is also used. We can now apply Lemma 3.2 and use the condition (3.1) to obtain that

    C(d,p,λ)|BΛδ|δ0Λτd1Fp[un](τv)dHd1(v)dτC(d,p,Λ)|BΛδ|δ0τd1dτΛ(δpδ0ρθ0(sv0)sd1ds0ρ(hv)hd1Fp[un](hv)hpdh)dHd1(v)C(d,p,Λ)δpδ0ρθ0(sv0)sd1ds|un|Sρ,p(Rd).

    Therefore from the boundedness assumption (3.3) we have,

    Rd|un(x)Pδun(x)|pdxC(p,d,Λ)δpδ0ρθ0(sv0)sd1ds.

    Equation (3.4) now follows from condition (3.1) after letting δ0. That completes the proof.

    A corollary of the compactness result, Theorem 3.1, is the following result that uses a criterion involving a sequence of kernels. The effort made in the proof above was to show the theorem for kernel ρ satisfying (3.1), but the proposition below limits to those satisfying (1.10) and (1.11).

    Proposition 3.5. Let ρL1loc satisfy (1.10) and (1.11). Let ρn be a sequence of radial functions satisfying (1.10) and that ρnρ weakly in L1 as n. If

    supn1{unLp(Rd)+|un|Sρn,p}<

    then {un} is precompact in Lploc(Rd;Rd). Moreover, if ARd is a compact subset, the limit point of the sequence restricting to A is in Sρ,p(A).

    Proof. Using Lemma 3.3 applied to each ρn, we can repeat the argument in the proof of Theorem 3.1 to obtain

    Rd|un(x)Pδun(x)|pdxC(p,d)δpδ0ρn(r)rd1drC(p,d)δpBδρn(ξ)dξ.

    Now since ρnρ, weakly in L1 as n, for a fixed δ>0, it follows that

    lim supnRd|un(x)Pδun(x)|pdxC(p,d)δpBδρ(ξ)dξ.

    We now let δ0, and use the assumption (1.11) to obtain

    limδ0lim supnRd|un(x)Pδun(x)|pdx=0,

    from which the compactness in the Lploc topology follows.

    We next prove the final conclusion of the proposition. To that end, let ARd be a compact subset. For ϕCc(B1), we consider the convoluted sequence of function ϕϵun, where ϕϵ(z)=ϵdϕ(z/ϵ) is the standard mollifier. Since unu strongly in Lp(A;Rd) for a fixed ϵ>0, we have as n,

    ϕϵunϕϵuin C2(A;Rd). (3.6)

    Using Jensen's inequality, we obtain that for any ϵ>0, and n large,

    AAρn(yx)|(ϕϵun(y)ϕϵun(x))(yx)|yx|2|pdydxRdRdρn(yx)|(un(y)un(x))(yx)|yx|2|pdydx.

    Taking the limit in n for fixed ϵ, we obtain for any A compact that

    AAρ(yx)|(ϕϵu(y)ϕϵu(x))(yx)|yx|2|pdydxsupn1|un|pSρn,p<

    where we have used (3.6) and the fact that ρn converges weakly to ρ in L1. Finally, let ϵ0 and use Fatou's lemma (since ϕϵuu almost everywhere) to obtain that for any compact set A,

    AAρ(yx)|(u(y)u(x))(yx)|yx|2|pdydxsupn1|un|pSρn,p<,

    hence completing the proof.

    In this section we prove Theorem 1.3. We follow the approach presented in [28]. The argument relies on controlling the Lp mass of each un, Ω|un|pdx, near the boundary by using the bound on the seminorm to demonstrate that in the limit when n there is no mass concentration or loss of mass at the boundary. This type of control has been done for the sequence of kernels that converge to the Dirac Delta measure in the sense of measures. We will do the same for a fixed locally integrable kernel ρ satisfying the condition (1.11).

    In order to control the behavior of functions near the boundary by the semi-norm ||Sp,ρ, we first present a few technical lemmas.

    Lemma 4.1. [28] Suppose that 1p< and that gLp(0,). Then there exists a constant C=C(p) such that for any δ>0 and t(0,δ)

    δ0|g(x)|pdxCδp2δ0|g(x+t)g(x)|ptpdx+2p13δδ|g(x)|pdx.

    Proof. For a given t(0,δ), choose k to be the first positive integer such that kt>δ. Observe that (k1)tδ, and so kt2δ. Now let us write

    |g(x)|p2p1(|g(x+kt)g(x)|p+|g(x+kt)|p)2p1kp1k1j=0|g(x+jt+t)g(x+jt)|p+2p1|g(x+kt)|p.

    We now integrate in x on both side over (0,δ) to obtain that

    δ0|g(x)|pdx2p1kp1k1j=0δ0|g(x+jt+t)g(x+jt)|pdx+2p1δ0|g(x+kt)|pdx2p1kp1k1j=0δ+jtjt|g(x+t)g(x)|pdx+2p13δδ|g(x)|pdx2p1kp2δ0|g(x+t)g(x)|pdx+2p13δδ|g(x)|pdx.

    Recalling that kt2δ, we have that kp2pδp/tp and we finally obtain the conclusion of the lemma with C=22p1.

    The above lemma will be used on functions of type tu(x+tv)v, for vSd1. Before doing so, we need to make some preparation first. Observe that since Ω is a bounded open subset of Rd with a Lipschitz boundary, there exist positive constants r0 and κ with the property that for each point ξΩ there corresponds a coordinate system (x,xd) with xRd1 and xdR and a Lipschitz continuous function ζ:Rd1R such that |ζ(x)ζ(y)|κ|xy|,

    ΩB(ξ,4r0)={(x,xd):xd>ζ(x)}B(ξ,4r0),

    and ΩB(ξ,4r0)={(x,xd):xd=ζ(x)}B(ξ,4r0). It is well known that a Lipschitz domain has a uniform interior cone Σ(ξ,θ) at every boundary point ξ such that B(ξ,4r0)Σ(ξ,θ)Ω. The uniform aperture θ(0,π) of such cones depends on the Lipschitz constant κ of the local defining function ζ, and does not depend on ξ. It is not difficult either to see that for any r(0,4r0), if yBr(ξ), then

    dist(y,Ω)=inf{|y(x,xd)|:(x,xd)B3r(ξ),xd=ζ(x)}.

    We now begin to work on local boundary estimates. To do that without loss of generality, see Figure 1 below, after translation and rotation (if necessary) we may assume that ξ=0 and

    ΩB(0,4r0)={(x,xd):xd>ζ(x)}B(0,4r0),
    Figure 1.  Σ is the cone with aperture π/4 (depicted by the blue lines). The Lipschitz graph ζ remains outside the double cone with aperture π/2arctan(1/2) (depicted by the red lines). The red dashed line has length r.

    where ζ(0)=0, and |ζ(x)ζ(y)|κ|xy|. We also assume that the Lipschitz constant κ=1/2 and the uniform aperture θ=π/4. As a consequence, ζ(x)|x|/2 for all xB4r0(0). Given any 0<r<r0, we consider the graph of ζ:

    Γr:={x=(x,ζ(x))Rd:xBr(0)}.

    We denote the upper cone with aperture π/4 by Σ and is given by

    Σ={x=(x,xd)Rd:|x|xd}.

    Finally we define Ωτ={xΩ:dist(x,Ω)>τ} to be the set of points in Ω at least r units away from the boundary. Based on the above discussion we have that for any r(0,r0],

    ΩBr/2Γr+(ΣBr)ΩB3r. (4.1)

    Indeed, let us pick x=(x,xd)ΩBr/2. The point ξ=x(x,ζ(x))=(0,xdζ(x))Σ, since 0<xdζ(x). Moreover, by the bound on the Lipschitz constant |ξ|=|xdζ(x)|<r/2+r/4<r. On the other hand, for any

    x=(x1,ζ(x1))+(x2,(x2)d)Γr+(ΣBr),

    we have

    ζ(x1+x2)ζ(x1)|x2|/2(x2)d/2,

    showing that ζ(x1+x2)<ζ(x1)+(x2)d and therefore xΩ. It easily follows that xB3r, as well.

    For any r(0,r0), and xBr(0), and vΣSd1, dist((x,ζ(x))+rv,Ω)r/10. Indeed, dist((x,ζ(x))+rv,Ω) is larger than or equal to the length of the black dashed line, which is larger than or equal to rsin(π/4arctan(1/2))=r/10.

    In this subsection we establish the near boundary estimate in the following lemma.

    Lemma 4.2. Suppose that ΩRd is a domain with Lipschitz boundary. Let 1p<. Then there exist positive constants C1,C2, r0 and ϵ0(0,1) with the property that for any r(0,r0), uLp(Ω;Rd), and any nonnegative and nonzero ρL1loc(Rd) that is radial, we have

    Ω|u|pdxC1(r)Ωϵ0r|u|pdx+C2rpBr(0)ρ(h)dhΩΩρ(xy)|D(u)(x,y)|pdxdy.

    The constant C1 may depend on r but the other constants C2 and r0 depend only on d,p and the Lipschitz constant of Ω. Here for any τ>0, we define Ωτ={xΩ:dist(x,Ω)>τ}.

    Proof. Following the above discussion, let us pick ¯ηΩ and assume without loss of generality that ¯η=0, the function ζ that defines the boundary Ω has a Lipschitz constant not bigger than 1/2 and the aperture is π/4. Assume first that uLp(Ω;Rd), and vanishes on Ωr/10. Let us pick ξ=(x,ζ(x)) such that |x|<r and vΣSd1. Let us introduce the function

    gξv(t)=u(ξ+tv)v,t(0,3r0).

    Then for all ξΓr and vΣSd1, ξ+rvΩr/10. It follows that, by assumption on the vector field u, the function gξv(t)Lp(0,2r) and gξv(t)=0 for t(r,2r). We then apply Lemma 4.1 to get a constant Cp>0 such that for any t(0,r),

    r0|u(ξ+sv)v|pdsCrpr0|(u(ξ+sv+tv)u(ξ+sv))v|ptpds,

    where we used the fact that u vanishes on Ωr/10. Noting that ξ=(x,ζ(x)) for some xBrRd1, we integrate first in the above estimate with respect to xBr to obtain that

    Brr0|u(ξ+sv)v|pdsdxCrpBrr0|(u(ξ+sv+tv)u(ξ+sv))v|ptpdsdx.

    The next step involves a change of variable y=(x,ζ(x))+sv. Define a mapping G:(x,s)(x,ζ(x))+sv. Then the Jacobian of the mapping is defined almost everywhere and is given by

    JG=v(ζT(x),1).

    Notice that |JG| is bounded from above and below by two constants since vΣSd1 and the Lipschitz constant of ζ is not bigger than 1/2. Also notice that G(Br×(0,1))Γr+ΣBr. Therefore,

    Brr0|(u(ξ+sv+tv)u(ξ+sv))v|ptpdsdxCΓr+ΣBr|(u(y+tv)u(y))v|ptpdyCΩB3r|(u(y+tv)u(y))v|ptpdy,

    where we have used (4.1) in the last step. By some straightforward calculations, one can also find that ΩBr/4G(Br×(0,1)). Then

    ΩBr4|u(y)v|pdyG(Br×(0,1))|u(y)v|pdyCBrr0|u(ξ+sv)v|pdsdx.

    It then follows from the above calculations that that for all vΣSd1 and all t(0,r),

    ΩBr4|u(y)v|pdyCrpΩB3r|(u(y+tv)u(y))v|ptpdy. (4.2)

    Multiplying the left hand side of (4.2) by ρ(tv)td1 and integrating in t(0,r) and in vΣSd1, we get

    r0ΣSd1ΩBr4|u(y)v|pρ(tv)td1dydσ(v)dt=ΩBr4ΣBr|u(y)z|z||pρ(z)dzdy.

    Using Lemma 3.4, we observe that

    ΩBr4ΣBr|u(y)z|z||pρ(z)dzdy=ΩBr4|u(y)|pΣBr|u(y)|u(y)|z|z||pρ(z)dzdy(r0td1ρ(t)dt)ΩBr4|u(y)|pΣSd1|u(y)|u(y)|w|pdHd1(w)dyc0(Brρ(ξ)dξ)ΩBr4|u(y)|pdy. (4.3)

    Similarly, we have

    r0ΣSd1ΩB3r|(u(y+tv)u(y))v|ptpρ(tv)td1dydσ(v)dt=ΩB3rΣBr|(u(y+z)u(y))z|z||p|z|pρ(|z|)dzdyΩB4rΩB4r|D(u)(x,y)|pρ(xy)dydx. (4.4)

    Combining inequalities (4.2)–(4.4) we obtain that

    c0ΩBr4|u(y)|pdyrpBrρ(ξ)dξΩB4rΩB4r|D(u)(x,y)|pρ(xy)dydx (4.5)

    for some positive constant c0 which only depends on d,p and the Lipschitz constant of the domain. In particular, the estimate (4.5) holds true at all boundary points ¯ηΩ.

    The next argument is used in the proof of [28, Lemma 5.1]. By applying standard covering argument, it follows from the inequality (4.5) that there exist positive constants ϵ0(0,1/(210)) and C with the property that for all r(0,r0), such that for all uLp(Ω;Rd) that vanishes in Ωr/10

    ΩΩ2ϵ0r|u|pdxCrpBrρ(ξ)dξΩΩ|D(u)(x,y)|pρ(xy)dydx. (4.6)

    The positive constants ϵ0 and C depend only on p and the Lipschitz character of the boundary of Ω. For ease of calculation, set ˜r=2r/10. Then ˜r/2=r/10.

    Now let uLp(Ω;Rd), and let ϕC(Ω) be such that: ϕ(x)=0, if xΩ˜r/2; 0ϕ(x)1, if xΩ˜r/4Ω˜r/2; ϕ(x)=1, if xΩΩ˜r/4 and |ϕ|C/r on Ω. Applying (4.6) to the vector field ϕ(x)u(x), we obtain that

    ΩΩϵ0r|u|pdxCrpBrρ(ξ)dξΩΩ|D(ϕu)(x,y)|pρ(xy)dydx.

    We may rewrite D(ϕu) as follows

    D(ϕu)(x,y)=(ϕ(x)+ϕ(y))D(u)(x,y)(ϕ(x)u(y)ϕ(y)u(x)|yx|)(yx)|yx|.

    It then follows that

    ΩΩ|D(ϕu)(x,y)|pρ(xy)dydx2p1ΩΩ|[ϕ(x)+ϕ(y)]D(u)(x,y)|pρ(xy)dydx+2p1ΩΩ|ϕ(x)u(y)ϕ(y)u(x)|yx|(yx)|yx||pρ(xy)dydx=2p1(I1+I2).

    The first term I1 can be easily estimated as

    I1=ΩΩ|[ϕ(x)+ϕ(y)]D(u)(x,y)|pρ(xy)dydx2ΩΩ|D(u)(x,y)|pρ(xy)dydx.

    Let us estimate the second term, I2. We first break it into three integrals.

    I2=ΩΩ|ϕ(x)u(y)ϕ(y)u(x)|yx|(yx)|yx||pρ(xy)dydx=

    where A = \Omega\setminus \Omega_{\tilde{r}/4} \times \Omega\setminus \Omega_{\tilde{r}/4} , B = (\Omega\setminus \Omega_{\tilde{r}/8})\times \Omega_{\tilde{r}/4} \cup \left(\Omega_{\tilde{r}/4} \times (\Omega\setminus \Omega_{\tilde{r}/8})\right) and C = \Omega\times\Omega \setminus (A\cup B) . We estimate each of these integrals. Let us begin with the simple one: \iint_{A} . After observing that \phi({\bf x}) = \phi({\bf y}) = 1 for all {\bf x}, {\bf y}\in \Omega\setminus \Omega_{\tilde{r}/4}, we have that

    \iint_{A} = \int_{\Omega\setminus \Omega_{\tilde{r}/4}}\int_{\Omega\setminus \Omega_{\tilde{r}/4}} | {\mathscr D}({\bf u})( {\bf x}, {\bf y})|^p\rho( {\bf x}- {\bf y})d {\bf y}\, d{\bf x},

    and the latter is bounded by the semi norm. Next, we note that set B is symmetric with respect to the diagonal, and as a result,

    \iint_{B} = 2 \int_{\Omega\setminus \Omega_{\tilde{r}/8}} \int_{\Omega_{\tilde{r}/4}}

    and when ({\bf x}, {\bf y}) \in (\Omega\setminus \Omega_{\tilde{r}/8})\times \Omega_{\tilde{r}/4} , we have \phi({\bf x}) = 1 , and so we have

    \begin{aligned} \iint_{B} & = 2\int_{\Omega\setminus \Omega_{\tilde{r}/8}} \int_{\Omega_{\tilde{r}/4}} \left|{{\bf u}( {\bf y}) - \phi( {\bf y}){\bf u}( {\bf x})\over | {\bf y}- {\bf x}|}\cdot {( {\bf y}- {\bf x})\over | {\bf y}- {\bf x}|}\right|^p\rho( {\bf x}- {\bf y})d {\bf y}\, d{\bf x}\\ &\leq 2^{p}\int_{\Omega\setminus \Omega_{\tilde{r}/8}} \int_{\Omega_{\tilde{r}/4}} \left|\phi( {\bf y}) {\mathscr D}({\bf u})( {\bf x}, {\bf y})\right|^p\rho( {\bf x}- {\bf y})d {\bf y}\, d{\bf x}\\ &\quad + 2^{p}\int_{\Omega\setminus \Omega_{\tilde{r}/8}} \int_{\Omega_{\tilde{r}/4}} \left|{{\bf u}( {\bf y})\over | {\bf y}- {\bf x}|}\right|^p\rho( {\bf x}- {\bf y})d {\bf y}\, d{\bf x}\\ &\leq 2^{p}\int_{\Omega\setminus \Omega_{\tilde{r}/8}} \int_{\Omega_{\tilde{r}/4}}\left| {\mathscr D}({\bf u})( {\bf x}, {\bf y})\right|^p\rho( {\bf x}- {\bf y})d {\bf y}\, d{\bf x}\\ &\quad + \frac{2^{4p}}{r^{p}}\int_{\Omega\setminus \Omega_{\tilde{r}/8}} \int_{\Omega_{\tilde{r}/4}} |{\bf u}( {\bf y})|^p\rho( {\bf x}- {\bf y})d {\bf y}\, d{\bf x}\\ \end{aligned}

    where we have used the fact that \text{dist}(\Omega\setminus \Omega_{\tilde{r}/8}, \Omega_{\tilde{r}/4}) = \tilde{r}/{8} . As a consequence we have that

    \iint_{B} \leq 2^{p} \int_{\Omega}\int_{\Omega} | {\mathscr D}({\bf u})( {\bf x}, {\bf y})|^p \rho( {\bf y}- {\bf x})d {\bf y}\, d {\bf x} + \frac{2^{4p}}{r^{p}} \left(\int_{|{\bf h}| > \tilde{r}/{8}} \rho({\bf h}) d{\bf h} \right) \int_{\Omega_{\tilde{r}/4}} |{\bf u}( {\bf y})|^{p} d {\bf y}.

    To estimate the integral on C , we first observe that for any ({\bf x}, {\bf y}) \in C , then \text{dist}({\bf x}, \partial \Omega)\geq \tilde{r}/{8} and \text{dist}({\bf y}, \partial \Omega)\geq \tilde{r}/{8} . Using this information, adding and subtracting \phi({\bf x}){\bf u}({\bf x}) we can then estimate as follows:

    \begin{aligned} \iint_{C} &\leq 2^{p-1} \iint_{C} | {\mathscr D}({\bf u})( {\bf x}, {\bf y})|^p \rho( {\bf y}- {\bf x})d {\bf y}\, d {\bf x} \\ &\quad + 2^{p-1}\iint_{C}|{\bf u}( {\bf x})|^{p} \frac{|\phi( {\bf x} )-\phi( {\bf y})|^{p}}{| {\bf x}- {\bf y}|^{p}}\rho(| {\bf x}- {\bf y}|)d {\bf y}\, d{\bf x} \\ & \leq 2^{p-1} \int_{\Omega}\int_{\Omega} | {\mathscr D}({\bf u})( {\bf x}, {\bf y})|^p \rho( {\bf y}- {\bf x})d {\bf y}\, d {\bf x}\\ & \quad + \frac{C}{r^{p}} \int_{B_{R}} \rho({\bf h}) d{\bf h} \int_{\Omega_{{r\over8}}}|{\bf u}( {\bf x})|^{p} d {\bf x} \end{aligned}

    where we used the estimate |\nabla \phi| \leq {C\over r} , and denoted R = \text{diam}(\Omega) .

    We then conclude that there exists a universal constant C > 0 such that for any r small

    \begin{aligned} \int_{\Omega\setminus \Omega_{\epsilon_{0} \, r }} |{\bf u}|^{p}d {\bf x} & \leq C \left({r^{p}\over \int_{B_{r}}\rho(|{ {\bf y}}|)d {\bf y}} \int_{\Omega}\int_{\Omega} | {\mathscr D}({\bf u})( {\bf x}, {\bf y})|^p \rho( {\bf y}- {\bf x})d {\bf y}\, d {\bf x} \right.\\ &\qquad +\left. \frac{1}{r^{p}}\int_{B_{R}} \rho({\bf h}) d{\bf h} \int_{\Omega_{\tilde{r}/{8}}} |{\bf u}|^{p} d {\bf x}\right) . \end{aligned}

    It then follows that

    \begin{equation*} \begin{aligned} \int_{\Omega}|{\bf u}|^{p}d {\bf x} & = \int_{\Omega_{\epsilon_{0}r}}|{\bf u}|^{p}d {\bf x} + \int_{\Omega\setminus \Omega_{\epsilon_{0}r}}|{\bf u}|^{p}d {\bf x} \\ &\leq \int_{\Omega_{\epsilon_{0} r}}|{\bf u}|^{p}d {\bf x} + C\, {r^{p}\over \int_{B_{r}}\rho(|{ {\bf y}}|)d {\bf y}} \int_{\Omega}\int_{\Omega} | {\mathscr D}({\bf u})( {\bf x}, {\bf y})|^p \rho( {\bf y}- {\bf x})d {\bf y}\, d {\bf x} \\ &\quad+ C {\|\rho\|_{L^{1}(B_{R})}\over r^{p}}\int_{\Omega_{\tilde{r}/8}}|{\bf u}|^{p}d {\bf x}. \end{aligned} \end{equation*}

    We hence complete the proof of Lemma 4.2 after choosing \epsilon_{0} sufficiently small, say for example \epsilon_{0} < {1}/{4\sqrt{10}} , that

    \begin{equation*} \int_{\Omega}|{\bf u}|^{p}d {\bf x} \leq C(r)\int_{\Omega_{\epsilon_{0}r}}|{\bf u}|^{p}d {\bf x} + C\, {r^{p}\over \int_{B_{r}(0)}\rho(|{ {\bf y}}|)d {\bf y}} \int_{\Omega}\int_{\Omega} | {\mathscr D}({\bf u})( {\bf x}, {\bf y})|^p \rho( {\bf y}- {\bf x})d {\bf y}\, d {\bf x}, \end{equation*}

    as desired.

    Let {\bf u}_{n} be a bounded sequence in \mathcal{S}_{\rho, p} (\Omega) . Let \phi_{j} \in C^{\infty}_{0}(\Omega) such that \phi_{j} \equiv 1 in \Omega_{1/j} . Then the sequence \{\phi_{j}{\bf u}_{n}\}_{n} is bounded in \mathcal{S}_{\rho, p} (\mathbb{R}^{d}) , and so by Theorem 3.1, \phi_{j}{\bf u}_{n} is precompact in \Omega . In particular, \{{\bf u}_{n}\} is relatively compact in L^{p}(\Omega_{j}) . From this one can extract a subsequence {\bf u}_{n_{j}} such that {\bf u}_{n_{j}} \to {\bf u} in L^{p}_{loc}(\Omega) . It is easy to see that {\bf u}\in L^{p}(\Omega) . In fact, using the pointwise convergence and Fatou's lemma, we can see that {\bf u}\in \mathcal{S}_{\rho, p}(\Omega) . What remains is to show that {{\bf u}_{n_{j}}} \to {\bf u} in L^{p}(\Omega) . To that end, we apply Lemma 4.2 for the function {\bf u}_{n_{j}} - {\bf u} , to obtain that

    \int_{\Omega}|{\bf u}_{n_{j}} - {\bf u}|^{p}d {\bf x} \leq C_{1}(r) \int_{\Omega_{\epsilon_{0}r}}|{\bf u}_{n_{j}} - {\bf u}|d {\bf x} + C_{2} \frac{r^{p}}{ \int_{B_{r}}\rho({\bf h}) d{\bf h} } |{\bf u}_{n_{j}} - {\bf u}|^{p}_{\mathcal{S}_{\rho, p}(\Omega)}

    for all small r . We now fix r and let j\to \infty to obtain that

    \limsup\limits_{j\to \infty}\int_{\Omega}|{\bf u}_{n_{j}} - {\bf u}|^{p}d {\bf x} \leq C \frac{r^{p}}{ \int_{B_{r}}\rho({\bf h}) d{\bf h} } (1 + |{\bf u}|^{p}_{\mathcal{S}_{\rho, p}}).

    We then let r\to 0 , to obtain that \limsup_{j\to \infty}\int_{\Omega}|{\bf u}_{n_{j}} - {\bf u}|^{p}d {\bf x} = 0.

    Arguing as above and by Proposition 3.5, we have that there is a subsequence {\bf u}_{n_{j}} \to u in L^{p}_{loc}(\Omega) , and that u\in \mathcal{S}_{\rho, p}(\Omega) . To conclude, we apply Lemma 4.2 for the function {\bf u}_{n_{j}} - {\bf u} corresponding to \rho_{n_{j}} to obtain

    \int_{\Omega}|{\bf u}_{n_{j}} - {\bf u}|^{p}d {\bf x} \leq C_{1}(r) \int_{\Omega_{\epsilon_{0}r}}|{\bf u}_{n_{j}} - {\bf u}|d {\bf x} + C_{2} \frac{r^{p}}{ \int_{B_{r}}\rho_{n_{j}}({\bf h}) d{\bf h} } |{\bf u}_{n_{j}} - {\bf u}|^{p}_{\mathcal{S}_{\rho_{n_j}, p}(\Omega)} .

    By assumption \rho_{n_j}\leq C \rho and so |{\bf u}_{n_{j}} - {\bf u}|^{p}_{\mathcal{S}_{\rho_{n_j}, p}(\Omega)}\leq C |{\bf u}_{n_{j}} - {\bf u}|^{p}_{\mathcal{S}_{\rho, p}(\Omega)} . We then let j\to \infty and apply the weak convergence of \rho_{n} to obtain that

    \limsup\limits_{j\to \infty}\int_{\Omega}|{\bf u}_{n_{j}} - {\bf u}|^{p}d {\bf x} \leq C \frac{r^{p}}{ \int_{B_{r}}\rho({\bf h}) d{\bf h} } (1 + |{\bf u}|^{p}_{\mathcal{S}_{\rho, p}}).

    Finally, we let r\to 0 to conclude the proof.

    We recall that given V\subset L^{p}(\Omega; \mathbb{R}^{d}) satisfying the hypothesis of the corollary, there exists a constant P_{0} such that for any {\bf u}\in V,

    \begin{equation} \int_{\Omega} |{\bf u}|^{p}d {\bf x} \leq P_{0} \int_{\Omega}\int_{\Omega} \rho( {\bf y} - {\bf x})\left|\frac{({\bf u}( {\bf y}) - {\bf u}({ {\bf x}}))}{| {\bf y}- {\bf x}|} \cdot \frac{( {\bf y} - {\bf x})}{| {\bf y} - {\bf x}|}\right|^{p}d {\bf y} d {\bf x}. \end{equation} (4.7)

    This result is proved in [12] or [23]. We take P_{0} to be the best constant. We claim that given any \epsilon > 0 , there exists N = N(\epsilon) \in \mathbb{N} such that for all n\geq N , (1.15) holds for C = P_{0} + \epsilon . We prove this by contradiction. Assume otherwise and that there exists C > P_{0} such that for every n , there exists {\bf u}_{n}\in V\cap L^{p}(\Omega; \mathbb{R}^{d}) , \|{\bf u}_{n}\|_{L^{p}} = 1 , and

    \int_{\Omega}\int_{\Omega} \rho_{n}( {\bf y} - {\bf x})\left|\frac{({\bf u}_{n}( {\bf y}) - {\bf u}_{n}({ {\bf x}}))}{| {\bf y}- {\bf x}|} \cdot \frac{( {\bf y} - {\bf x})}{| {\bf y} - {\bf x}|}\right|^{p}d {\bf y} d {\bf x} < \frac{1}{C}.

    By Theorem 1.4, {\bf u}_{n} is precompact in L^{p}(\Omega; \mathbb{R}^{d}) and therefore any limit point {\bf u} will have \|{\bf u}\|_{L^{p}} = 1 , and will be in V\cap L^{p}(\Omega; \mathbb{R}^{d}) . Moreover, following the same procedure as in the proof of Proposition 3.5, we obtain that

    \begin{aligned} \int_{\Omega}\int_{\Omega} &\rho( {\bf y} - {\bf x})\left|\frac{({\bf u}( {\bf y}) - {\bf u}({ {\bf x}}))}{| {\bf y}- {\bf x}|} \cdot \frac{( {\bf y} - {\bf x})}{| {\bf y} - {\bf x}|}\right|^{p}d {\bf y} d {\bf x} \\ &\leq \liminf\limits_{n\to \infty}\int_{\Omega}\int_{\Omega} \rho_{n}( {\bf y} - {\bf x})\left|\frac{({\bf u}_{n}( {\bf y}) - {\bf u}_{n}({ {\bf x}}))}{| {\bf y}- {\bf x}|} \cdot \frac{( {\bf y} - {\bf x})}{| {\bf y} - {\bf x}|}\right|^{p}d {\bf y} d {\bf x} \leq {1 \over C } < {1\over P_{0}} \end{aligned}

    which gives the desired contradiction since P_{0} is the best constant in (4.7).

    In this work, we have presented a set of sufficient conditions that guarantee a compact inclusion of a set of L^{p} -vector fields in the Banach space of L^{p} vector fields. The criteria are nonlocal and given with respect to nonlocal interaction kernels that may not be necessarily radially symmetric. We note that, in addition to the mathematical generality, relaxing the radial symmetry assumption on nonlocal interactions can be useful when modeling anisotropic behavior and directional transport. The L^{p} -compactness is established for a sequence of vector fields where the nonlocal interactions involve only part of their components, so that the results and discussions represent a significant departure from those known for scalar fields. It is not clear yet to what extent the conditions assumed here can be weakened to reach the same conclusions. In this regard, there are still some outstanding questions in relation to the set of minimal conditions on the interaction kernel as well as on the set of vector fields that imply L^{p} -compactness. An application of the compactness result that will be explored elsewhere includes designing approximation schemes for nonlocal system of equations of peridynamic-type similar to the one done in [34] for nonlocal equations.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    Q. Du's research is partially supported by US National Science Foundation grant DMS-1937254 and DMS-2309245.

    T. Mengesha's research is supported by US National Science Foundation grant DMS-1910180 and DMS-2206252.

    X. Tian's research is supported by US National Science Foundation grant DMS-2111608 and DMS-2240180.

    The authors thank Zhaolong Han for helping improve the proof of Lemma 4.2.

    The authors declare no conflicts of interest.

    Compactness in L^{p}_{loc} topology

    The following theorem as well as the proof we present here is inspired by the compactness result proved in [18] (see also [17]) for scalar functions which uses the more flexible nonintegrability condition of the {\rho({\bf z}) \over |{\bf z}|^{p}} than the one stated in (1.11).

    Theorem A.1 ( L^{p}_{loc} compactness). Suppose that 1\leq p < \infty . Let \rho \in L^{1}(\mathbb{R}^{d}) be a nonnegative radial function satisfying

    \begin{equation} \lim\limits_{\delta\to 0 } \int_{|{\bf z}| > \delta} {\rho({\bf z})\over |{\bf z}|^{p}}d{\bf z} = \infty. \end{equation} (A.1)

    Suppose also that \{{\bf u}_{n}\} is a sequence of vector fields that is bounded in \mathcal{S}_{\rho, p}(\mathbb{R}^{d}) . Then for any D\subset \mathbb{R}^{d} open and bounded, the sequence \{{\bf u}_{n}|_{D}\} is precompact in L^{p}(D; \mathbb{R}^{d}) .

    As stated earlier, for radial functions with compact support, condition (9.1) is weaker than (1.11). Indeed, (1.11) implies that \rho({\bf z}) | {\bf z}|^{-p} is not integrable near { \bf 0} which implies (9.1). One the other hand, the kernel \rho({\bf z}) = |{\bf z}|^{-d-p} \chi_{B_{1}({ \bf 0})}({\bf z}) satisfies (A.1) but not (1.11).

    Similar to the argument we gave in Section 2, the proof of the theorem will make use of the following variant of the Riesz-Fréchet-Kolomogorov theorem [6,20].

    Lemma A.2. ([20, Lemma 5.4]) Let the sequence \{\mathbb{G}^\delta\}_{\delta > 0}\subset L^1(\mathbb{R}^{d}; \mathbb{R}^{d\times d}) be an approximation to the identity. That is

    \forall \delta > 0, \int_{\mathbb{R}^{d}} \mathbb{G}^\delta ( {\bf x})d {\bf x} = \mathbb{I}_d, \quad \mathit{\text{for any $r > 0$, }} \lim\limits_{\delta \to 0}\int_{| {\bf x}| > r} \mathbb{G}^\delta ( {\bf x})d {\bf x} = {\bf 0}.

    If \{{\bf f}_n\}_{n} is a bounded sequence in L^{p}(\mathbb{R}^{d}; \mathbb{R}^{d}) and

    \lim\limits_{\delta \to 0} \limsup\limits_{n\to \infty} \|{\bf f}_{n} - \mathbb{G}^\delta \ast {\bf f}_{n}\|_{L^{p}} = 0,

    then for any open and bounded subset D of \mathbb{R}^{d} the sequence \{{\bf f}_{n}\} is relatively compact in L^{p}(D; \mathbb{R}^{d}) .

    Proof of Theorem A.1. From the assumption we have

    \begin{equation} \sup\limits_{n\geq 1} \|{\bf u}_{n}\|_{L^{p}}^{p} + \sup\limits_{n\geq 1}\int_{\mathbb{R}^{d}}\int_{\mathbb{R}^{d}}\rho( {\bf x}'- {\bf x})\left| {\mathscr D}({\bf u}_n)( {\bf x}, {\bf x}')\right|^{p}d {\bf x}'d {\bf x} < \infty. \end{equation} (A.2)

    Let \Gamma^{\delta}({\bf z}) = {\rho({\bf z}) \over |{\bf z}|^{p}} \chi_{\complement B_{\delta}}({\bf z}) . Then for each \delta , \Gamma^\delta \in L^1(\mathbb{R}^{d}) and is radial, since \rho is radial. Moreover, by assumption on \rho (A.1), \|\Gamma^\delta\|_{L^1} \to \infty as \delta \to 0. We next introduce the following sequence of integrable matrix functions

    \mathbb{G}^{\delta}({\bf z}) = {d \, \Gamma^{\delta}({\bf z})\over \|\Gamma^\delta\|_{L^1} } {{\bf z}\otimes {\bf z} \over |{\bf z}|^{2}}.

    Notice that since \Gamma^\delta is radial, we have

    \int_{\mathbb{R}^{\delta}} {\Gamma^{\delta}({\bf z}) z_i^{2} \over |{\bf z}|^{2}}d{\bf z} = { \|\Gamma^\delta\|_{L^1}\over d}, \quad i = 1, \cdots, d.

    As a consequence \{\mathbb{G}^{\delta}\} is an approximation to the identity. Now for each n we have

    \begin{aligned} \| {\bf u}_{n} - \mathbb{G}^{\delta} \ast{\bf u}_n\|_{L^{p}}^{p} & = \int_{\mathbb{R}^{d}}\left|\int_{\mathbb{R}^{d}}\mathbb{G}^{d} ( {\bf y}- {\bf x})({\bf u}_n( {\bf x}) - {\bf u}_n( {\bf y})) d {\bf y} \right|^{p} d {\bf x}\\ & \leq d^{p} \int_{\mathbb{R}^{d}}\left|\int_{\mathbb{R}^{d}} {\Gamma^{\delta}({\bf z})\over \|\Gamma^\delta\|_{L^1} }\left|{ {\bf z}\over | {\bf z}|}\cdot({\bf u}_n( {\bf x}) - {\bf u}_n( {\bf z} + {\bf x})) \right|d {\bf y} \right|^{p} d {\bf x}\\ &\leq d^{p} \int_{\mathbb{R}^{d}}\int_{\mathbb{R}^{d}} \left|{ {\bf z}\over | {\bf z}|}\cdot({\bf u}_n( {\bf x}) - {\bf u}_n( {\bf z} + {\bf x})) \right|^{p} {\Gamma^{\delta}({\bf z})\over \|\Gamma^\delta\|_{L^1} } d {\bf z} d {\bf x}\\ &\leq {d^{p}\over \|\Gamma^\delta\|_{L^1} } \int_{\mathbb{R}^{d}}\int_{\mathbb{R}^{d}} \left|{ {\bf z}\over | {\bf z}|}\cdot({\bf u}_n( {\bf x}) - {\bf u}_n( {\bf z} + {\bf x})) \right|^{p} {\rho({\bf z}) \over |{\bf z}|^{p}} d {\bf z} d {\bf x}\\ & = {d^{p}\over \|\Gamma^\delta\|_{L^1} }|{\bf u}_{n}|^p_{\mathcal{S}_{\rho, p}(\mathbb{R}^{d})}. \end{aligned}

    By assumption on the sequence \{{\bf u}_n\} (A.2), we have that for all n ,

    \| {\bf u}_{n} - \mathbb{G}^{\delta} \ast{\bf u}_n\|_{L^{p}}^{p} \leq C \, {d^{p}\over \|\Gamma^\delta\|_{L^1}}.

    We take the limit as \delta\to 0 (uniformly in n ) and use Lemma A.2 to conclude that {\bf u}_n is compact in L^{p}(\Omega; \mathbb{R}^{d}).



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