Nonlocal half-ball vector operators on bounded domains: Poincaré inequality and its applications
Abstract.
This work contributes to nonlocal vector calculus as an indispensable mathematical tool for the study of nonlocal models that arises in a variety of applications. We define the nonlocal half-ball gradient, divergence and curl operators with general kernel functions (integrable or fractional type with finite or infinite supports) and study the associated nonlocal vector identities. We study the nonlocal function space on bounded domains associated with zero Dirichlet boundary conditions and the half-ball gradient operator and show it is a separable Hilbert space with smooth functions dense in it. A major result is the nonlocal Poincaré inequality, based on which a few applications are discussed, and these include applications to nonlocal convection-diffusion, nonlocal correspondence model of linear elasticity, and nonlocal Helmholtz decomposition on bounded domains.
Key words and phrases:
nonlocal models, nonlocal vector calculus, Poincaré inequality, Helmholtz decomposition, bounded domains, nonlocal half-ball gradient operator, Riesz fractional gradient, Marchaud fractional derivative, peridynamics, correspondence model2020 Mathematics Subject Classification:
45A05, 26B12, 47G10, 47G30, 35A23, 46E35, 74G651. Introduction
In recent decades, nonlocal models that account for interactions occurring at a distance have been increasingly popular in many scientific fields. In particular, they appear widely in applications in continuum mechanics, probability and finance, image processing and population dynamics, and have been shown to more faithfully and effectively model observed phenomena that involve possible discontinuities, singularities and other anomalies [4, 9, 13, 26, 30, 35, 45].
One type of nonlocal problem is featured with generalizing the integer-order scaling laws that appear in PDEs to scaling laws of non-integer orders. This type of problem usually involves integral operators with fractional kernels that are supported in the whole space (i.e., with infinite nonlocal interactions), such as the fractional Laplace operator that models non-standard diffusion of a fractional order [5, 33, 40]. Another type of nonlocal problem focuses on finite range interactions and connects to PDEs by localization of nonlocal interactions [18, 19]. A prominent example is peridynamics, a nonlocal continuum model in solid mechanics, which is shown to be consistent with the classical elasticity theory by localization [42, 48, 50]. Other nonlocal models in this type include nonlocal (convection-)diffusion and nonlocal Stokes equations with finite nonlocal interactions that are inspired by peridynamics. Nonlocal vector calculus is developed in [20] and is used for reformulating nonlocal problems under a more systematic framework analogous to classical vector calculus [19, 29]. See [16, 23] for surveys on connecting the fractional and nonlocal vector calculus.
There are two commonly used frameworks in nonlocal vector calculus [20]; one involves two-point nonlocal (difference) operators and another involves one-point nonlocal (integral) operators. The two-point nonlocal gradient operator and its adjoint operator are used to reformulate nonlocal diffusion and the bond-based peridynamics models [18]. The one-point nonlocal gradient operator, on the other hand, is also used in a variety of applications including nonlocal advection equation, nonlocal Stokes equation and the peridynamics correspondence models [21, 22, 37, 49]. In some sense, the one-point nonlocal operators, including nonlocal gradient, divergence and curl operators, are more convenient to use as modeling tools since they can be directly used in place of their classical counterparts appearing in PDEs. However, the mathematical properties of nonlocal models involving these operators are not readily guaranteed without careful investigation. For example, instability of the peridynamics correspondence model is observed in which nonlocal deformation gradient is used to replace the classical deformation gradient, and is later explained in [21] as a result of lack of conscious choice of the interaction kernels in the nonlocal gradient operators. Singular kernels are proposed in [21] for the remedy of instability which resembles the kernel functions in the Riesz fractional gradient in terms of singularity at origin [8, 46]. Later on, nonlocal gradient operators with hemispherical interaction neighborhoods are used in [38] so that the singularity in kernel functions is no longer a necessity for the corresponding nonlocal Dirichlet energies to be stable. Both [21] and [38] work on functions defined on periodic cells to facilitate Fourier analysis. The starting point of this work is to establish a functional analysis framework that extends the Fourier analysis in [38] and apply it to nonlocal Dirichlet boundary value problems. With a general setting, we work with kernels that include both the Riesz fractional type (with infinite support) and the compactly supported type inspired by peridynamics. We remark that in a recent work [8], the authors consider the truncated Riesz fractional type kernels defined with full spherical support and study the properties of the corresponding function spaces by establishing a nonlocal fundamental theorem of calculus, and no such formula exists for kernels with hemispherical interaction neighborhoods which are our main focus in this work.
The major contribution of this work is the study of the functional analysis properties of the nonlocal space associated with the half-ball nonlocal gradient operator defined on bounded domains. We show that the space is a Hilbert space, and more importantly, it is separable with smooth functions dense in it, a property on which many applications are based. Another major result is the Poincaré inequality on functions with zero Dirichlet boundary conditions. We spend two whole sections on the proof it, one for the case of integrable kernels with compact support and another for more general kernels, including non-integrable kernels and kernels with infinite supports. Poincaré inequality is crucial for the study of boundary value problems. Indeed, we illustrate its use in three applications. The first application is the well-posedness of a class of nonlocal convection-diffusion equations defined via nonlocal half-ball gradient and divergence. Secondly, we study the nonlocal correspondence model of linear elasticity, where we also show a nonlocal Korn’s inequality for functions with Dirichlet boundary conditions. Note that the convergence of Galerkin approximations to these equations is natural, although we do not illustrate it in detail due to the length of the paper, as a result of the separability of the associated nonlocal energy spaces. The last application is a nonlocal version of Helmholtz decomposition for vector fields defined on bounded domains, a result of the solvability of the nonlocal Poisson type problem and some nonlocal vector identities involving gradient, divergence and curl which we also established in this paper. We remark that Helmholtz decomposition for one-point nonlocal operators is also studied in [15, 31, 38], but only periodic domains or the whole space are considered in these works.
Outline of the paper. We start with the principal value definition of the nonlocal half-ball gradient, divergence and curl operators for measurable functions in Section 2, and the corresponding distributional gradient, divergence and curl operators are followed. Fourier symbols of these operators are studied for later use and some nonlocal vector identities for smooth functions are established in the section. In Section 3, we define the nonlocal function space associated with the Dirichlet integral defined via the distributional nonlocal half-ball gradient, an analogue of the Sobolev space in the local case, and show it is a separable Hilbert space. Ingredients such as closedness under multiplication with smooth functions, continuity of translation and mollification are established to prove the density result. In addition, we show that the distributional divergence and curl are well-defined quantities in the sense in the nonlocal function space for vector fields, an analogue of the fact that and in the local case. Thus the vector identities also hold for functions in the nonlocal function spaces. The nonlocal Poincaré inequality is proved for integrable kernels with compact support in Section 4, based on which the nonlocal Poincaré inequality is shown for more general kernels in Section 5. Section 6 contains three applications of our functional analysis framework, including applications to nonlocal convection-diffusion, nonlocal linear elasticity, and nonlocal Helmholtz decomposition on bounded domains. Finally, we conclude in Section 7.
2. Nonlocal half-ball vector operators
We introduce the nonlocal half-ball vector operators in this section and discuss their properties. In the following, we let be a fixed unit vector. Denote by the characteristic function of the half-space parameterized by the unit vector .
Throughout the paper, we adopt the following notations in linear algebra. For two column vectors , is the dot product and is the cross product if . If and , then the tensor product of and is a matrix, given by . For two matrices , we define .
2.1. Definitions and integration by parts
Following the notion of nonlocal nonsymmetric operator defined in [38], we define the nonlocal half-ball vector operators as follows.
Throughout the paper, we assume that satisfies the following conditions:
(1) |
Remark 2.1.
There are two typical types of kernels used in the literature that satisfy eq. 1. One type of kernel is those with compact supports, e.g., for some , where represents the finite length of nonlocal interactions. Compactly supported kernels are used in peridynamics and the related studies, see e.g., [8, 18, 38, 49]. Another type of kernel has non-compact supports, e.g., for , which relates to the Riesz fractional derivatives studied in [8, 46, 47]. For with , the nonlocal half-ball operators in this work directly relate to the Marchaud one-sided derivatives studied in [2, 34, 51]. Tempered fractional operators are discussed in [16, 44] where for and .
Definition 2.1.
Given a measurable vector-valued function , the action of nonlocal half-ball gradient operator on is defined as
(2) |
where . Given a measurable matrix-valued function , the action of nonlocal half-ball divergence operator on is defined as
(3) |
where . If and , then the action of nonlocal half-ball curl operator on is defined as
(4) |
where .
Remark 2.2.
Suppose . For the affine function where and , it follows that
where we used
Here is the surface area of -sphere and is the identity matrix.
One may further show that the localizations of these nonlocal operators are their local counterparts multiplied by a constant , which justifies this definition. Specially, let and , then by Taylor expansion one can prove that
where is the gradient matrix of , i.e., the transpose of the Jacobian matrix of . Similarly, for ,
where the divergence vector of given by is a column vector in , and if ,
Note that in 2.1, the integrals are understood in the principal value sense. For smooth functions with compact support, the above integrals are just Lebesgue integrals, and moreover, the action of nonlocal operators yields smooth functions whose derivatives are functions for . We summarize these results in the following lemma. The proof is similar to that of Proposition 1 in [15] and hence omitted.
Lemma 2.1.
Suppose that and . Then , and () are functions with
(5) |
(6) |
and if ,
(7) |
For and multi-index , there is a constant depending on such that the following estimates hold:
(8) |
(9) |
and if ,
(10) |
If we replace smooth functions with compact support by functions, then the action of nonlocal operators still yield functions and the equalities (5)-(7) hold for a.e. . The proof uses some ideas of Proposition 2.1(2) in [43] and is left to the appendix.
Lemma 2.2.
Analogous to the local operator, the integration by parts formula holds. Here we provide three types of integration by parts with proofs in the appendix. Note that the corresponding conditions in 2.1 (1)(2)(3) hold provided , and , respectively.
Proposition 2.1 (Nonlocal “half-ball” integration by parts).
-
(1)
Suppose , and . Then and for any ,
(14) -
(2)
Suppose , and . Then and for any ,
(15) -
(3)
Let . Suppose , and . Then and for any ,
(16)
Remark 2.3.
We point out that nonlocal gradient, divergence and curl can be defined for complex-valued functions via eq. 2, eq. 3 and eq. 4, respectively, where the dot product in eq. 3 is understood as the inner product in , i.e., for , and the cross product in eq. 4 is understood as the cross product in . This extension will be useful in the proof of 4.2.
2.2. Distributional nonlocal operators
Previously, we defined nonlocal nonsymmetric operators in the principal value sense. It turns out that this notion is not enough to define nonlocal Sobolev spaces. Instead, we need the notion of distributional nonlocal gradient as the notion of weak derivative in the local setting. One way to define it is via its adjoint operator, i.e., nonlocal nonsymmetric divergence operator defined in the last subsection.
Following the idea in [43], we define the distributional nonlocal operators as follows.
Definition 2.2.
Let . Given , we define the distributional nonlocal gradient as
(17) |
Given , we define the distributional nonlocal divergence as
(18) |
If with , we define the distributional nonlocal curl as
(19) |
Remark 2.4.
From the integration by parts formulas in 2.1, we immediately have the following results when the distributional operators , and coincide with , and , respectively.
Corollary 2.1.
-
(1)
Suppose and , then in .
-
(2)
Suppose and , then in .
-
(3)
Suppose and , then in .
2.3. Fourier symbols of nonlocal operators
In this subsection, we study the Fourier symbols of nonlocal operators defined in the previous subsection. These results will be used in the analysis in the subsequent sections.
Define
(20) |
It is immediate that for . In fact, is the Fourier symbol of , and in the sense described below. We now present this fact without proof since the proof is straightforward. Indeed, first prove the result for smooth functions with compact support and then use (11)-(13) for and density of in . Similar results can also be found in [38].
Lemma 2.3.
Let and . The Fourier transform of the nonlocal gradient operator acting on is given by
(21) |
and the Fourier transform of the nonlocal divergence operator acting on is given by
(22) |
If, in particular, and , then the Fourier transform of the nonlocal curl operator acting on is given by
(23) |
Now we write out the real and imaginary part of explicitly and show that the imaginary part is a scalar multiple of . Moreover, the upper bound of is linear in . The proof of the following lemma is omitted since it follows from Lemma 2.3 and the last part of Theorem 2.4 in [38].
Lemma 2.4.
The Fourier symbol can be expressed as
where
(24) |
(25) |
and with
(26) |
Moreover,
(27) |
In the following, we present two other observations of the Fourier symbol that are useful in Section 4. The first result concerns the positivity of away from the origin, and the second result asserts that is a smooth function.
Proposition 2.2.
For every orthogonal matrix ,
(28) |
The same formula holds for both and . Consequently,
(29) |
Proof.
Equation 28 can be easily seen from a change of variable. For a fixed unit vector , there exists an orthogonal matrix such that . By (28), for ,
where the last inequality holds because the integrand is nonnegative and the set
is a set of measure zero in . Thus, (29) holds. ∎
Proposition 2.3.
Suppose the kernel function satisfies eq. 1, and in addition, the support of is a compact set in . Then the Fourier symbol .
Proof.
Notice that for any multi-index with ,
Since is a compactly supported kernel function, the integrand on the right-hand side of the above equation can be controlled by the integrable function . Hence, . ∎
2.4. Nonlocal vector identities for smooth functions
In this subsection, we present some nonlocal vector identities for smooth functions with compact support. These results will be generalized for a larger class of functions in Section 3 and become crucial for applications in Section 6.
The following lemma shows that and , analogous to and in the local setting.
Lemma 2.5.
Let . Then for and ,
(30) |
and
(31) |
Proof.
Next, we show two nonlocal vector identities analogous to the following vector calculus identities in local setting111In eq. 32, the two types of curls in 2D are defined as for a vector field and a scalar field . In eq. 33, the curl of a vector field in 3D is defined as :
(32) |
(33) |
Lemma 2.6.
For ,
(34) |
Proof.
Lemma 2.7.
For ,
(35) |
3. Nonlocal Sobolev-type spaces
In this section, we define the nonlocal Sobolev-type spaces in which we prove the Poincaré inequality. The notion is defined via the distributional nonlocal gradient introduced in the previous section, motivated by the definition of classical Sobolev spaces. A similar notion was introduced in [12] for fractional gradient. For simplicity, we only consider the case , while the definitions and results in Section 3.1 below can be extended to a general .
3.1. Definitions and properties of nonlocal Sobolev-type spaces
For the rest of the paper, we adopt the convention that a domain is an open connected set (not necessarily bounded). Let be a domain and a positive integer. Given a kernel function satisfying eq. 1 and a unit vector , define the associated energy space by
(36) |
equipped with norm
as well as the corresponding inner product. For any , it is not hard to see that is a closed subspace of . When , we simply denote . Notice that any function in is a vector field where each component of it is a function in . For the rest of this section, we will show is a separable Hilbert space for certain domain . Since functions in can be understood componentwise as functions in , we will work with for the rest of this subsection and the following results also hold for where . The results of this subsection can also be easily extended to a general .
Remark 3.1.
is a nonlocal analogue of the Sobolev space . If the kernel function has compact support, e.g., for , then vanishes outside . In this case, we may equivalently define as functions in that vanish on with .
Theorem 3.1.
Let be a domain. The function space is a Hilbert space.
Proof.
It suffices to prove that is complete. Let be a Cauchy sequence in . Since is a Cauchy sequence in , there exists such that in and such that in . Now we show in the sense of distributions. By definition, for any , it suffices to show
(37) |
For , we have
(38) |
Since , by 2.1, we know . Then taking to infinity in (38) yields (37). Thus, and in . Hence, is a Hilbert space. Since is a closed subspace of , the normed space is also complete. ∎
We next present a density result on which is crucial in many applications. If , the density result holds for domains that are bounded with continuous boundaries or epigraphs. We say is an epigraph if there exists a continuous function such that (up to a rigid motion),
If is a bounded domain with a continuous boundary, then its boundary can be covered by finitely many balls where each patch is characterized by an epigraph.
Theorem 3.2.
Let be a bounded domain with a continuous boundary, an epigraph, or . Let denote the space of smooth functions defined on with compact support contained in . Then is dense in .
The main ingredients of the proof of 3.2 are several lemmas stated below about cut-off, translation and mollification in nonlocal Sobolev spaces which we present in the following. First of all, a generalized ‘product rule’ for the nonlocal operators is useful.
Proposition 3.1.
For and ,
(39) |
where is a function given by
(40) |
Similarly,
where
Proof.
We only prove the produce rule for as the product rule for is similar and simpler. First note that the function is well-defined with the pointwise estimate
(41) |
Observe that for and ,
Therefore
Thus, taking the limit as , by definition of the nonlocal gradient operator in eq. 2 and the equivalent form of the divergence operator in 2.3, we have
(42) |
where we used
Indeed, similar to (41), for every ,
so the above limit is justified by the dominated convergence theorem. ∎
The generalized produce rule presented above is helpful in showing the following result, which says that is closed under the multiplication with .
Lemma 3.1 (Closedness under multiplication with bump functions).
For and , and
(43) |
where depends on , and . As a result, for and with , for any domain .
Proof.
First, notice that
Therefore we only need to show . The rest of proof in fact shows a ‘product rule’ for nonlocal distributional gradient using the ‘product rule’ of nonlocal divergence derived in 3.1. Since , there exists such that
(44) |
To show , it suffices to find such that
(45) |
By 3.1, we have
thus, for any ,
where we use and is a vector-valued function whose expression will be given in a moment. Comparing this with (45), we notice that the vector-valued function should be
(46) |
It remains to show this function is in . By the definition of ,
Note that both and are well-defined maps on due to the similar reason for the the pointwise estimate (41) for . For example,
(47) |
Observe that by Fubini’s theorem
where is given by
Using Holder’s inequality, one can show . Indeed,
Combining the above discussions, we obtain
(48) |
with
Therefore, by (46), and
where we have used 2.1. This combined with the estimate on leads to eq. 43. ∎
Next, we present two results regarding the translation and mollification of functions in , which are standard techniques useful for proving density of smooth functions. For and a given vector , denote the translation operator . In addition, we let be the standard mollifiers for , i.e. where and . The statement of the following two lemmas are new but the proofs follow the standard arguments of similar results in the classical Sobolev spaces. We therefore leave their proofs in the appendix.
Lemma 3.2 (Continuity of translation).
For and , and
Lemma 3.3 (Mollification in ).
For and , and
(49) |
With the necessary components presented in Lemmas 3.1, 3.2 and 3.3, the proof of 3.2 uses the standard mollification and partition of unity techniques (see [1, 24] for instance). Here we present its proof for completeness. Similar arguments can be found in [25] or [27] (Theorem 3.76(i)).
Proof of 3.2.
We prove the result for being a bounded domain with continuous boundary. The other two cases are more straightforward. Since is compact, there exist , and such that
and
for some continuous functions up to relabelling the coordinates. Let . Then,
Let be a smooth partition of unity subordinate to the above constructed sets. That is we have , and and , . Let and define
By 3.1, . For , we define
Fix , by Lemma 3.2, there exists such that
Fix this , it follows that for a positive number less than . Indeed, since , where , ,
Since , by Lemma 3.3, and there exists such that ,
and
Let , we have and . Therefore, the lemma is proved. ∎
3.2. Nonlocal vector inequalities and identities
In this subsection, we derive a number of results for Sobolev-type functions using 3.2. The first two results are the analogs of and in the local setting. We assume is a bounded domain with a continuous boundary, an epigraph, or so that the density result holds.
Proposition 3.2.
For , and
Thus, is a bounded linear operator with operator norm no more than . In addition, there exists such that in and in as .
Proof.
We first show the inequality for smooth functions with compact support, that is, assuming ,
(50) |
We only prove eq. 50 for since the result also holds for by noticing that using Plancherel’s theorem. For and a scalar function , we introduce the notation given by
We use Fourier transform to show that
(51) |
which implies the desired result by Young’s inequality for products. By 2.3 and , for ,
where the Fourier symbol
Therefore, by Plancherel’s theorem, we conclude the proof of eq. 50 as
By 3.2, there exists such that in , and in particular, in as . Applying eq. 50 fo , is a Cauchy sequence in , and thus has a limit in by completeness. Since in , by applying 2.1(2) to one derives that the limit is with the desired estimate. ∎
Proposition 3.3.
Let . For , and
Thus, is a bounded linear operator with operator norm no more than . In addition, there exists such that in and in as .
Proof.
Recall that for . By 3.2 one can define for . More precisely, given , define
(53) |
Then
implies that . Therefore, is a bounded linear operator with operator norm no more than . The same property holds for and using 3.2 and 3.3, respectively. We summarize this observation in the following proposition.
Proposition 3.4.
defined by eq. 53 is a bounded linear operator with operator norm no more than . We can similarly define and and they are bounded linear operators with operator norms no more than .
Based on the above results, the nonlocal vector identities in Section 2.4 hold for functions in the space . The vector identities shown below are crucial for establishing the nonlocal Helmholtz decomposition in Section 6.3.
Lemma 3.4.
Let . Then for and , in the sense of distributions,
(54) |
and
(55) |
Proof.
Since , . By definition, and for ,
(56) |
where the sequence is chosen according to 3.2 such that in . By integration by parts formula,
Since by 2.5, we have . Then by 3.4, . Equation 55 can be shown similarly. ∎
Remark 3.2.
Lemma 3.5.
For ,
(57) |
Proof.
Notice that the left hand side and the right hand side of (57) are understood as elements in by 3.4, i.e., for any , we need
(58) |
where . First notice that eq. 58 holds for all functions by 2.6 and the definitions of and . Now for any , using 3.2 and 3.2, there exists a sequence such that in and in . Then eq. 58 holds for by taking limits. ∎
Lemma 3.6.
For ,
(59) |
4. Nonlocal Poincaré inequality for integrable kernels with compact support
In this section, we prove the Poincaré inequality for integrable kernels with compact support. Throughout this section, we assume that and
(60) |
We also assume for the rest of this paper that is a bounded domain. Our major result in this section is the Poincaré inequality stated below.
Theorem 4.1 (Poincaré inequality for integrable kernels with compact support).
Let be a bounded domain. Assume that and satisfies (60), then the Poincaré inequality holds for . That is, there exists a constant such that
(61) |
where .
In the following, we establish necessary ingredients for the proof of 4.1. We first give a list of new notations that will be used in this section.
-
•
For the kernel , let be a constant depending only on defined as
(62) -
•
For a fixed unit vector , define a vector-valued function by
(63) -
•
Let be a constant vector depending only on and defined as
(64) -
•
Let be vector-valued functions. Define their convolution as the following scalar-valued function
There are a few properties related to the above defined quantities. We list these properties here without proof since they are not hard to see.
-
•
For any orthogonal matrix ,
(65) Consequently,
(66) -
•
From Young’s convolution inequality, for we have
With the integrability assumption of , we notice that is well-defined on , is well-defined on , and the limiting process in the definition of and can be dropped. In addition, each of and can be rewritten as a convolution operator plus a multiplication operator using the notations and above. These lead to a stronger version of integration by parts formula and an equivalent characterization of .
Proposition 4.1.
The following statements are true.
(1) For , , , and are bounded operators with estimates
for some . Moreover, for and ,
(67) |
(68) |
(2) Suppose and , where and ( for and for ). Then
Similarly, for and ,
Proof.
Notice that since , the integrand in eq. 2 is Lebesgue integrable on for , and therefore the limiting process can be dropped. The characterizations (67) and (68) follow directly from 2.1, (63) and (64). For instance, (68) holds as
where the convolution term is well-defined thanks to the Young’s convolution inequality and the fact that . Suppose . For and we can show the estimate similarly. Using Holder’s inequality, we obtain
where . This shows (1). The estimates for and can be shown similarly.
The integration by parts formulas in (2) can be shown by a change of integration order via Fubini’s theorem, for example,
Here Fubini’s theorem is justified since for and . Indeed,
where we used Young’s convolution inequality and is a constant only depending on the dimension . The second integration by parts formula in (2) can be shown similarly. ∎
An immediate result from 4.1 is the following equivalent characterization of .
Corollary 4.1 (An equivalent characterization of ).
With the integrability assumption of , for with a.e. in , and the function space defined by eq. 36 satisfies
We next show a crucial result for proving the Poincaré inequality. It claims that the operator restricted to is injective.
Proposition 4.2.
Assume that and satisfies (60). If satisfies for a.e. , then .
Proof.
Note that the nonlocal integration by parts formula in 4.1 also holds for complex-valued functions. That is, for and with and given by 4.1,
(69) |
where the -norm is given by
Thus, for any in the Schwartz space , we have
(70) | ||||
where since and by eq. 69.
Since , we view as a tempered distribution. Now we prove the following claim:
(71) |
Let be defined as
Since for by 2.2 and in a neighborhood of , is a well-defined vector-valued function on . Moreover, since by 2.3 and . Hence since is an isomorphism on . Observing that , the claim follows from eq. 70.
Now from the claim, we have . Then by Corollary 2.4.2 in [28], is a polynomial, i.e.,
for some nonnegative integer and real numbers for . Since in , it follows . ∎
The last ingredient of the proof of the Poincaré inequality is the weak lower semicontinuity of the Dirichlet integral . To establish this result, we need Proposition A.3 in [6] which is stated as a lemma below.
Lemma 4.1 (Proposition A.3 in [6]).
Let be bounded open, and let be convex, lower semicontinuous and bounded below. Let with (i.e., for all ). Then
Proposition 4.3.
Suppose that converges weakly to in . Then
(72) |
Proof.
Let . Then is convex, continuous and bounded below. Let and . Then for any open and precompact set , because
For any , , define a linear functional by
where denotes the -th component of . Then is a bounded linear functional since
Now since in , we have as . Therefore and this yields
Finally, we are ready to prove 4.1.
Proof of 4.1.
We argue by contradiction. Suppose there exists with such that . Then is bounded. Since is a Hilbert space by 3.1, there exists a subsequence of , still denoted by for convenience, that convergences weakly to some .
In the first step, we show , i.e., in . By the weakly lower semi-continuous result in 4.3, we have
Now that ,
and thus for a.e. . By 4.2, and the first step is done.
In the second step, we show converges to strongly in , which contradicts the assumption .
Using the integration by parts formula and the characterizations of and consecutively in 4.1, it follows that (recall that in ),
(73) | ||||
where denote the inner product and is defined as
Note that is well-defined as . Now notice that by Young’s convolution inequality
as . In addition, by eqs. 62 and 66. Therefore, if , then we reach a contradiction since eq. 73 implies . In the following, we proceed to show as .
5. Nonlocal Poincaré inequality for general kernel functions
Our main goal in this section is to prove the Poincaré inequality for general kernel functions beyond the integrable and compactly supported ones used in Section 4. Throughout this section, we assume that the kernel function satisfies eq. 1 and the assumptions given as follows.
Assumption 5.1.
Assume that satisfies eq. 1, and either one of the following conditions holds true:
-
(1)
;
-
(2)
there exists such that for some and when .
We use to denote the radial representation of , i.e., satisfies for .
Remark 5.1.
Under 5.1, we can show the following result.
Theorem 5.1 (Poincaré inequality for general kernel functions).
Let be a bounded domain with a continuous boundary. Under Assumption 5.1, the Poincaré inequality holds, i.e., there exists a constant such that
(74) |
For general kernel functions, we do not have a direct analogue of eq. 73 since the single integral defining cannot be separated into two parts. Motivated by the fact that singular kernels usually correspond to stronger norms than integrable kernels, e.g., the Riesz fractional gradients lead to Bessel potential spaces [46], it is a natural idea to choose an integrable and compactly supported kernel by which is bounded below, i.e., a kernel satisfying eq. 1 and
(75) |
and utilize the Poincaré inequality for integrable kernels with compact support. This further requires a comparison of the norms and which is not a trivial task. Here, we resort to the Fourier analysis. Let be and be the Fourier symbols are defined by eq. 20. Notice that if there exists a constant independent of such that
(76) |
then we have for any ,
and the Poincaré inequality for general kernels can be further inferred.
Lemma 5.1.
Proof.
We divide the proof of eq. 76 into two steps. Along the proof, the desired kernel function will be constructed, and more precisely, is defined by eq. 85. Without loss of generality in the following steps we assume . The case for is similar.
Step I. We prove that there exists and such that
(77) |
Since is integrable and satisfies eq. 75, there exists depending on (as itself depends on ) such that for ,
(78) |
Observe that is a scalar multiple of as a result of 2.4, i.e., where is given by eq. 26. Using polar coordinates, we obtain
where is the surface area of -sphere . Now we claim that for in 5.1,
Then eq. 77 holds by eq. 78 and . We prove the claim by two cases to conclude Step I.
Case (i). Suppose satisfies 5.1 (1). Then . Since , by dominated convergence theorem,
Therefore, there exists such that the claim holds.
Case (ii). Suppose satisfies 5.1 (2). Assume without loss of generality that . Then and with for . We estimate by discussing and . On the one hand, since for sufficiently small, there exists such that for . On the other hand, there exist and such that
where we used and dominated convergence theorem for the second last inequality. Combining both cases for and yields the claim.
Step II. We prove that there exist and such that
(79) |
and such that
(80) |
Since is integrable,
(81) |
where depends on . Denote . Recall that . Then
(82) | ||||
For any , we define a function by
Claim. For in 5.1, there exists depending only on such that
(83) |
and
(84) |
Once the claim is proved, eq. 79 and eq. 80 follows. Indeed, eq. 79 holds by eq. 81, eq. 82, eq. 83 and eq. 84. Notice that is a continuous function and for any and , eq. 80 holds as and . We prove the claim to conclude Step II and thus finish the whole proof.
Proof of the claim. We choose as
(85) |
Then satisfies eq. 1 and eq. 75. Let , then satisfies eq. 83 and for ,
where is the radial representation of . Note that the above computation holds for and can be easily done for or . Then by Riemann-Lebesgue lemma, there exists such that ,
Then for and ,
where . Then the claim is proved. ∎
Now we are ready to prove the the Poincaré inequality for general kernels.
Proof of 5.1.
For any , we have . By 5.1 and the comment below eq. 76, there exists a kernel function satisfying eq. 1 and eq. 75 such that
for some . Therefore, using 4.1 for the integrable and compactly supported kernel , we obtain
Denote . By the density result in 3.2, for every , there exists such that in . Hence,
Since
letting yields (74). ∎
6. Applications
In this section, we provide some applications of the nonlocal Poincaré inequality. Assume that is a kernel function satisfying 5.1, is a fixed unit vector, is an open bounded domain with a continuous boundary. Note that by the nonlocal Poincaré inequality 4.1 and 5.1, the full norm is equivalent to the seminorm for . Thus in this section we abuse the notation and use to denote the seminorm.
6.1. Nonlocal convection-diffusion equation
In Section 2 we have defined nonlocal gradient and divergence operator for the fixed unit vector . It turns out that one can define these notions corresponding to a unit vector field as well. Specifically, for a measurable function and a measurable vector field , and are defined by
and
respectively. Let be an integrable kernel with compact support satisfying eq. 1. Then the integration by parts formula in 4.1 (2) holds for the vector field and kernel . The proof is similar and thus omitted.
For a diffusivity function with a positive lower bound , a vector field and a function , we consider the nonlocal convection-diffusion model problem formulated as
(86) |
Equation 86 is a nonlocal analogue of the classical convection-diffusion equation, see, e.g., [14, 39, 53, 52] for related discussions. The new formulation using for the nonlocal diffusion allows the possibility to explore mixed-type numerical methods for eq. 86 in the future.
Remark 6.1.
If the kernel function has compact support, the boundary condition in eq. 86 only needs to be imposed on a bounded domain outside . For example, assume for , then for the first equation to be well-defined on , we only need on where .
We define the bilinear form associated with eq. 86 by
(87) |
Then the weak formulation is given as follows.
(88) |
The vector field is given in terms of by the following relation
(89) |
To establish the well-posedness of the model problem (86), we give an additional assumption on the velocity field .
Assumption 6.1.
Assume the velocity field satisifies either one of the following assumptions:
-
(i)
, or
-
(ii)
where .
We further present a result on the convection part of the bilinear form . Similar result can be found in [39].
Lemma 6.1.
Let and be defined as eq. 89. Then
Proof.
By the integration by parts formula for vector field ,
where we used eq. 89 in the last inequality. ∎
Use the above lemma, we can establish the coercivity of the bilinear form and the well-posedness of eq. 86 further by the Lax-Milgram theorem.
Theorem 6.1.
6.2. Nonlocal correspondence models of isotropic linear elasticity
For , define distributional nonlocal vector Laplacian
(90) |
Then and is a bounded linear operator with operator norm no more than by 3.4. For the rest of the paper, we consider .
For a displacement field , we study the elastic potential energy given by
(91) |
where and are Lamé coefficients such that and and is the nonlocal strain tensor
(92) |
We also introduce the nonlocal Naviér operator acting on as
(93) |
in . The goal of this subsection is to show the well-posedness of the following equation
(94) |
Similarly as 6.1, when the kernel function is supported on , we only need the boundary condition to be imposed on . The associated function space to the problem is
The weak formulation of the problem is given by
(95) |
where and the bilinear form is defined as
To make sense of the weak formulation, one need to show that for . This is proved in 3.2.
The following lemma verifies that is indeed the energy for the problem (95).
Lemma 6.2.
For ,
(96) |
Proof.
Now we are ready to establish the well-posedness of problem (95). In fact, an analogue of the classical Korn’s inequality holds in the nonlocal setting.
Lemma 6.3 (Nonlocal Korn’s inequality).
There exists a constant such that
(97) |
Proof.
Theorem 6.2.
The nonlocal linear elasticity problem (95) is well-posed. More precisely, for any , there exists a unique solution such that
where is a positive constant.
6.3. Nonlocal Helmholtz decomposition
In this subsection, we always assume that or . The nonlocal vector calculus identities in Section 3.2 will be used to obtain the nonlocal Helmholtz decomposition for and . These results extend similar studies in [38] for periodic functions.
Theorem 6.3.
Let . There exist scalar potentials such that
In addition, there exists a constant depending on the Poincaré constant such that
Proof.
Theorem 6.4.
Let . There exist a scalar potential and a vector potential such that
(98) |
with
(99) |
where the above equations are understood in and , respectively. In addition, there exists a constant depending on the Poincaré constant such that
Proof.
Remark 6.2.
7. Conclusion
In this paper, we have studied nonlocal half-ball gradient, divergence and curl operators with a rather general class of kernels. These nonlocal operators can be generalized to distributional operators upon which a Sobolev-type space is defined. For this function space, the set of smooth functions with compact support is proved to be dense. Moreover, a nonlocal Poincaré inequality on bounded domains is established, which is crucial to study the well-posedness of nonlocal Dirichlet boundary value problems such as nonlocal convection-diffusion and nonlocal correspondence model of linear elasticity and to prove a nonlocal Helmholtz decomposition.
This work provides a rigorous mathematical analysis on the stability of some linear nonlocal problems with homogeneous Dirichlet boundary, thus generalizes the analytical results in [38] where the domains are periodic cells. While we mainly focused on the analysis of these nonlocal problems, standard Galerkin approximations to these problems are also natural based on the Poincaré inequality and the density result. It would also be interesting to investigate Petrov-Galerkin methods for the nonlocal convection-diffusion problems [39], as well as mixed-type methods for them [17]. Other problems such as nonlocal elasticity models in heterogeneous media and the Stokes system in [22, 38] may also be studied in the future. As for the analysis, our approach relies heavily on Fourier analysis which is powerful but limited to formulation. The nonlocal Poincaré inequality for half-ball gradient operator on bounded domains is still open to investigation. In addition, Poincaré inequality for Neumann type boundary is also interesting to be explored in the future. We note that in this work the dependence of the Poincaré constant on the kernel function is implicit as a result of argument by contradiction. Further investigation on how the constant depends on the kernel function is needed, and following [41], a sharper version of Poincaré inequality may be considered by establishing compactness results analogous to those in [10]. Last but not least, it remains of great interest to develop nonlocal exterior calculus and geometric structures that connect the corresponding discrete theories and continuous local theories [3, 7, 32, 36].
Acknowledgements
This research was supported in part by NSF grants DMS-2111608 and DMS-2240180. The authors thank Qiang Du, Tadele Mengesha, and James Scott for their helpful discussions. The authors would also like to thank the anonymous reviewers for their valuable comments and suggestions.
Appendix A
Proof of 2.2.
Let . To use Lebesgue dominated convergence theorem to show the principal value integral coincide with the usual Lebesgue integral, we construct the majorizing function
and show that for a.e. . This follows from the fact that the function . When , this is obvious. To show this fact for , first note that
Then by Hölder’s inequality,
where we used inequality (see Proposition 9.3 in [11])
Applying the same techniques it follows that
Combining the above estimates, there exists a constant depending on such that
(101) |
Therefore, for a.e. and by Lebesgue dominated convergence theorem, equalities (5) hold for a.e. . Since , the estimate (11) follows from (101). Similar proofs hold for and and are omitted. ∎
Proof of 2.1.
-
(1)
Since and , one can show by Lebesgue dominated convergence theorem that
(102) where . Similarly,
where
where we have used . The change of order of limitation and integration is again justified by Lebesgue dominated convergence theorem due to and .
Therefore, it suffices to prove that
Applying Fubini’s theorem completes the proof as
- (2)
- (3)
∎
Proof of 3.2.
Note that is obvious. To show , it suffices to show . We claim that . Indeed, for any ,
where can be easily checked. Therefore, the claim is true and thus .
To show the continuity, first note that
by continuity of translation in . Then using the claim above and the continuity of translation in , we have
Hence,
∎
Proof of 3.3.
Since , by the property of mollification, and
We claim that
To show the claim, we need to prove that
(104) |
For the right-hand side, we use Fubini’s theorem to get
For the left-hand side, use Fubini’s theorem again to obtain
One can check that and therefore
Comparing the left-hand and right-hand side, eq. 104 is proved and . Therefore
and thus the lemma is proved.
∎
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