Geometric regularity for elliptic equations in double-divergence form
Raimundo Leit\~ao, Edgard A. Pimentel, Makson S. Santos

TL;DR
This paper investigates the regularity of solutions to double-divergence elliptic equations, showing improved continuity properties near zero level-sets, with results depending on the regularity of coefficients.
Contribution
It establishes new regularity results for solutions based on the regularity of coefficients, using geometric and approximation techniques.
Findings
Solutions are locally $ ext{C}^{1^-}$ with $ ext{H"older}$ coefficients.
Solutions are $ ext{C}^{1,1^-}$ with Sobolev differentiable coefficients.
Enhanced regularity along nonphysical free boundaries.
Abstract
In this paper, we examine the regularity of the solutions to the double-divergence equation. We establish improved H\"older continuity as solutions approach their zero level-sets. In fact, we prove that -H\"older continuous coefficients lead to solutions of class , locally. Under the assumption of Sobolev differentiable coefficients, we establish regularity in the class . Our results unveil improved continuity along a nonphysical free boundary, where the weak formulation of the problem vanishes. We argue through a geometric set of techniques, implemented by approximation methods. Such methods connect our problem of interest with a target profile. An iteration procedure imports information from this limiting configuration to the solutions of the double-divergence equation.
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Geometric regularity for elliptic equations in double-divergence form
Raimundo Leitão, Edgard A. Pimentel and Makson S. Santos
Abstract
In this paper, we examine the regularity of the solutions to the double-divergence equation. We establish improved Hölder continuity as solutions approach their zero level-sets. In fact, we prove that -Hölder continuous coefficients lead to solutions of class , locally. Under the assumption of Sobolev differentiable coefficients, we establish regularity in the class . Our results unveil improved continuity along a nonphysical free boundary, where the weak formulation of the problem vanishes. We argue through a geometric set of techniques, implemented by approximation methods. Such methods connect our problem of interest with a target profile. An iteration procedure imports information from this limiting configuration to the solutions of the double-divergence equation.
Keywords: Double-divergence equations; geometric regularity; improved regularity at zero level-sets.
MSC(2010): 35B65; 35J15.
1 Introduction
In the present paper we study the regularity theory for solutions to the double-divergence partial differential equation (PDE)
[TABLE]
where is uniformly -elliptic. We produce new (sharp) regularity results for the solutions to (1). In particular, we are concerned with gains of regularity as solutions approach their zero level-sets. We argue through a genuinely geometric class of methods, inspired by the ideas introduced by L. Caffarelli in [5].
Introduced in [13], equations in the double-divergence form have been the object of important advances. See [16, 4, 10, 14, 8]; see also the monograph [3]. The interest in (1) is due to its own mathematical merits, as well as to its varied set of applications.
The primary motivation for the study of (1) is in the realm of stochastic analysis. In fact, (1) is the Kolmogorov-Fokker-Planck equation associated with the stochastic process whose infinitesimal generator is given by
[TABLE]
Therefore, one can derive information on the stochastic process through the understanding of (1).
A further instance where double-divergence equations play a role is the fully nonlinear mean-field games theory. The model-problem here is
[TABLE]
where is a -elliptic operator, stands for the derivative of with respect to the entry of and is a given function. In this case, the first equation in (2) is a Hamilton-Jacobi, associated with an optimal control problem. Its solution accounts for the value function of the game. On the other hand, the population of players, whose density is denoted by , solves a double-divergence (Fokker-Planck) equation. The mean-field coupling encodes the preferences of the players with respect to the density of the entire population. Therefore, the solution describes the equilibrium distribution of a population of rational players facing a scenario of strategic interaction. Through this framework, double-divergence equations are relevant in the modelling of several phenomena in the life and social sciences. As regards the mean-field games theory, we refer the reader to the monograph [9].
A further application of equations in double-divergence form occurs in the theory of Hamiltonian stationary Lagrangian manifolds [7]. Let be a domain and consider . The gradient graph of is the set
[TABLE]
whereas the volume of is given by
[TABLE]
Given , the study of critical points/minimizers for yields the compactly supported first variation
[TABLE]
for all , where
[TABLE]
is the induced metric. It is easy to check that (3) is the weak (distributional) formulation of
[TABLE]
Hence, given a domain, the minimizers of the volume of the gradient graph relate to the solutions of a PDE in the double-divergence form.
As mentioned before, the study of (1) starts in [13]. In that paper, the author considers weak solutions to the inequality
[TABLE]
and establishes a strong maximum principle. In [10], the author develops a potential theory associated with (1). This theory is shown to satisfy the same axioms as the potential theory for the elliptic operator
[TABLE]
Hence, the study of the former provides information on the latter. An improved maximum principle, as well as a preliminary approximation scheme for (1) are the subject of [14].
It is only in [16] that the regularity for the solutions to (1) is first investigated. In that paper, the author proves that solutions coincide with a continuous function, except in a set of measure zero. Together with its converse – and under further conditions – this is called the fundamental equivalence. In addition, a result on the -Hölder continuity of the solutions is presented. Namely, solutions are proven to be locally -Hölder continuous provided the coefficients satisfy .
In [8], the authors examine properties of the Green’s function associated with the operator driving (1). One of the results in that paper regards gains of integrability for the solutions. In fact, it is reported that locally integrable, non-negative, solutions are in .
A distinct approach to (1) regards the study of the densities of solutions. That is, their Radon-Nikodym derivatives with respect to the Lebesgue measure. In this realm, several developments have been produced (see [3] and the references therein). For example it is widely known that, if is nondegenerate in , every solution to (1) has a density; see [3].
In [2] the authors prove that has a density in , provided . If, in addition, is Hölder continuous and uniformly elliptic, is proven to have a density in . Regularity in Sobolev spaces is also studied in [2]. Under the assumptions that is in and is bounded away from zero, the authors prove that solutions have a density in . It is worth noticing that [2] addresses differential inequalities of the form
[TABLE]
for some . The corpus of results reported in [2] refines important previous developments; see, for instance [1, 11].
In the recent paper [4], the authors consider densities of the solutions to (1) and investigate their regularity in Hölder and Lebesgue spaces. In addition, they prove a Harnack inequality for non-negative solutions; see [4, Corollary 3.6]. Among other things, this result is relevant as it sets in the positive an open question raised in [15]. In fact, it is shown that densities are in , for every , if . Moreover, the authors examine the regularity of densities in Hölder spaces, provided the coefficients are in the same class.
A remarkable feature of PDEs in the double-divergence form is the following: the regularity of acts as an upper bound for the regularity of the solutions. It means that gains of regularity are not (universally) available for the solutions, vis-a-vis the data of the problem. To see this phenomenon in a (very) simple setting, we detail an example presented in [4]. Set and consider the homogeneous problem
[TABLE]
Take an arbitrary affine function and let . Notice that
[TABLE]
for every . Therefore, is a solution to (4). It is clear that, if is discontinuous, so will be .
Although solutions lack gains of regularity in the entire domain, a natural question regards the conditions under which improvements on the Hölder continuity could be established. Let be a fixed subset of the domain and suppose that further, natural, conditions are placed on . An important information concerns the regularity of the solutions along . Even more relevant in some settings is the regularity of the solutions as they approach .
In this paper, we consider the zero level-set of the solutions to (1). That is,
[TABLE]
We prove that, along , solutions to (1) are of class for every , provided is Hölder continuous and satisfies a proximity regime of the form
[TABLE]
The precise statement of our first main result is the following:
Theorem 1**.**
Let be a weak solution to (1). Suppose assumptions A1-A2, to be set forth in Section 2.1, are in force. Let . Then is of class at and there exists a constant such that
[TABLE]
for every .
The contribution of Theorem 1 is to ensure gains of regularity for the solutions to (1) as they approach the zero level-set, though estimates in the whole domain are constrained by the regularity of the coefficients . From a heuristic viewpoint, whichever level of -Hölder continuity is available for the coefficients – with – suffices to produce regularity for the solutions along .
The choice for is two-fold. Indeed, along this set, the weak formulation of (1) vanishes. Hence, at least intuitively, the weak formulation of the problem fails to provide information on the original equation along . A remarkable feature of (1) is related to this apparent lack of information across the zero level-set. As a matter of fact, the structure of the equation is capable of enforcing higher regularity of the solutions along the set where the weak formulation vanishes.
A second instance of motivation for the choice of falls within the scope of the nonphysical free boundaries. Introduced as a technology inspired by free boundary problems in the regularity theory of (nonlinear) partial differential equations, this class of methods has advanced the understanding of fine properties of solutions to a number of important examples. We refer the reader to [18].
In addition to the study of (1) in the presence of Hölder continuous coefficients, we also consider the case , for . In this setting, (1) becomes
[TABLE]
Here, two new layers of information are unveiled. First, it is known that solutions to (5) are in – see [12, Chapter 3, Theorem 15.1]. I.e., the gradient of the solutions exists in classical sense. Second, the weak formulation of the problem vanishes at a different subset of the domain, namely
[TABLE]
Under the assumption , and the appropriate proximity regime, we prove that solutions to (1) are locally of class along . This is the content of our second main result:
Theorem 2** (Hölder regularity of the gradient).**
Let be a weak solution to (1). Suppose A1 and A3, to be introduced in Section 2.1, hold true. Let . Then is of class at and there exists a constant such that
[TABLE]
for every .
The regularity of the coefficients in Sobolev spaces is pivotal in establishing Theorem 2. Here, Sobolev differentiable coefficients switch the regularity regime of (1) allowing for an alternative weak formulation of the problem.
We remark that our methods accommodate equations with explicit dependence on lower order terms. I.e.,
[TABLE]
provided the vector field and the function are well-prepared. See Remarks 4 and 6.
Our arguments are intrinsically geometric. We approximate weak solutions to (1) by solutions to a homogeneous, fixed coefficients, equation of the form
[TABLE]
Among such solutions, we select such that , and , when appropriate. An approximation routine builds upon the regularity theory available for the solutions to (6). This is achieved through a geometric strategy, which produces a preliminary oscillation control. To turn this initial information into an oscillation control in every scale, an iterative method takes place. This line of reasoning is inspired by trail-blazing ideas first introduced in [5]. See also [6].
The remainder of this paper is organized as follows: Section 2.1 details our main assumption whereas Section 2.2 collects a few elementary facts and notions, together with auxiliary results. In Section 3 we put forward a zero level-set approximation lemma and present the proof of Theorem 1. A finer approximation result appears in Section 4, where we conclude the proof of Theorem 2.
Acknowledgements: The authors are very grateful to an anonymous referee for her/his comments and suggestions, which led to a substantial improvement in the material in the paper. E. Pimentel is partially funded by CNPq-Brazil (Grants #433623/2018-7 and # 307500/2017-9) and FAPERJ (Grant #E26/200.002/ 2018). M. Santos is supported by CAPES-Brazil. Part of this work was developed during the second and third authors’ visit to the International Centre for Theoretical Physics (ICTP, Trieste); the authors are grateful for the Centre’s support and hospitality. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brazil (CAPES) - Finance Code 001”
2 Preliminary material and main assumptions
In this section we introduce the main elements used in our arguments throughout the paper. Firstly we discuss our assumptions on the structure of the problem. Then, we collect a few definitions and results.
2.1 Main assumptions
In what follows, we detail the main hypotheses under which we work in the present paper. We start with an assumption on the uniform ellipticity of the coefficients matrix .
A 1** (Uniform ellipticity).**
We assume the symmetric matrix satisfies a -ellipticity condition of the form
[TABLE]
for some , uniformly in .
The next assumption concerns the regularity requirements on the coefficients to ensure Hölder continuity of the solutions to (1). This fact is central in the proof of Theorem 1.
A 2** (-Hölder continuity).**
The map is locally uniformly -Hölder continuous. That is, we have
[TABLE]
for every and .
We conclude this section with a further set of conditions on the coefficients . Such assumption unlocks the study of the gradient-regularity for the solutions to (1), along .
A 3** (Sobolev differentiability of the coefficients).**
Let . The map
[TABLE]
is in . That is, we have
[TABLE]
for every and .
In the next section we gather elementary notions and basic facts used further in the paper.
2.2 Preliminary notions and results
We start with a result first proven in [16]. It concerns the existence of a continuous version to the weak solutions to (1).
Proposition 1** (Continuous version of weak solutions).**
Let be a weak solution to (1). Then, there exists a null set and such that
[TABLE]
Proof.
For the proof of the proposition, we refer the reader to [16, Lemma 1] ; see also [17]. ∎
Remark 1**.**
Hereafter, we suppose that every locally integrable function solving (1) in the weak sense is continuous.
Before proceeding we recall the fundamental solution of the operator
[TABLE]
such function will be denoted by . In the case , is defined as
[TABLE]
where and stands for the volume of the unit ball in dimension .
A fundamental result in the context of this paper regards initial levels of compactness for the solutions to (1). This is the subject of the next proposition, which we recall here for the sake of completeness.
Proposition 2** (Compactness of the solutions).**
Let be a weak solution to (1). Suppose A1- A2 are in force. Then, and there exists a constant such that
[TABLE]
with .
Proof.
The inclusion is a well-known result; see, for instance [16, Theorem 2]. As for the estimate in (8) it follows from considerations on the oscillation of the fundamental solution , defined in (7), and its derivatives; see the proof of [16, Theorem 2]. ∎
We proceed with a proposition on the sequential stability of the solutions to (1). It will be used further to establish two approximation lemmas.
Proposition 3** (Sequential stability of weak solutions).**
Suppose that
[TABLE]
is a sequence of matrices such that
[TABLE]
as . Suppose further that is so that
[TABLE]
as . Let satisfy
[TABLE]
If there exists such that
[TABLE]
as , then satisfies
[TABLE]
for every .
Proof.
First, notice that we have as . Now, for every we have
[TABLE]
Notice that the right-hand side of this inequality converges to zero as . Therefore,
[TABLE]
This concludes the proof. ∎
In addition to the sequential stability, our arguments require an initial degree of compactness for the solutions to (1). When it comes to the proof of Theorem 1, uniform compactness comes from Proposition 2. In the case of Theorem 2, we turn to a well-known result on the regularity of the (weak) solutions to equations in the divergence form. We start with an observation.
In case A3 is in force, we claim that (1) can be written as
[TABLE]
Indeed, if is weakly differentiable, we have
[TABLE]
for every . Hence, under A3, the homogeneous version of (1) is equivalent to (9). Now we are in position to state the following:
Proposition 4**.**
Let be a weak solution to (9). Suppose A1 and A3 are in force. Then, , where
[TABLE]
Moreover, there exists a universal constant such that
[TABLE]
For the proof of Proposition 4, we refer the reader to [12, Chapter 3, Theorem 15.1]. The former proposition is paramount in establishing Theorem 2. Apart from compactness, it produces gradient-continuity for the solutions to (9). This information plays a critical role in the treatment of fine regularity properties of the solutions to the homogeneous version of (1) along . In particular, it unlocks a first zero level-set approximation result.
We conclude this section with a comment on the scaling properties of (1). Indeed, we consider weak solutions satisfying . Let be defined as follows:
[TABLE]
where is a weak solution to (1). It is clear that is a weak solution to
[TABLE]
Notice that . Then, hereinafter we consider, without loss of generality, normalized solutions to (1). In the sequel, we set forth the proof of Theorem 1.
3 Improved regularity of the solutions
In this section we detail the proof of Theorem 1. As mentioned before, we reason through an approximation/geometric method. At the core of our argument lies a zero level-set Approximation Lemma. It reads as follows:
Proposition 5** (Zero level-set Approximation Lemma).**
Let be a weak solution to (1), and suppose A1-A2 are in force. Given , there exists such that, if
[TABLE]
there exists satisfying
[TABLE]
with
[TABLE]
Proof.
The proof follows from a contradiction argument. We start by supposing that the statement of the proposition is false. Therefore, there exist and sequences and such that
[TABLE]
[TABLE]
and
[TABLE]
but
[TABLE]
for every and every .
Notice that is uniformly bounded in . Therefore, there exists such that
[TABLE]
for every , through a subsequence, if necessary. On the other hand, we have that as ; hence
[TABLE]
Therefore
[TABLE]
as . Hence, the sequential stability of weak solutions (Proposition 3) leads to
[TABLE]
The regularity theory for constant-coefficients equations implies that and, moreover, . Finally, there exists such that
[TABLE]
provided . By taking , we produce a contradiction and conclude the proof. ∎
Remark 2**.**
The proof of Proposition 5 shows that the approximating function solves the problem
[TABLE]
where
[TABLE]
Therefore, it follows from standard results in elliptic regularity theory that
[TABLE]
where depends on the dimension , the ellipticity constants and and . We notice the constant does not depend on .
Remark 3**.**
A priori, the parameter depends only on . We notice however that (a universal) choice of , made further in the paper, implies that will depend on the exponent , the dimension , , and . Therefore, we have
[TABLE]
Next, we control the oscillation of the solutions to (1) within a ball of radius , to be determined further.
Proposition 6**.**
Let be a weak solution to (1). Suppose A1- A2 are in force. Then, for every , there exists such that, if and
[TABLE]
we can find for which
[TABLE]
Proof.
We start by taking a function satisfying
[TABLE]
with
[TABLE]
The existence of such a function is guaranteed by Proposition 5. We have
[TABLE]
for some constant ; see Remark 2. Therefore,
[TABLE]
In the sequel, we make universal choices for and ; in fact, for a given , we set
[TABLE]
Finally, we combine (11) with (12) to obtain
[TABLE]
and conclude the proof. ∎
Proposition 7**.**
Let be a weak solution to (1). Suppose assumptions A1-A2 are in force. Then, there exists so that, if and
[TABLE]
we can find for which
[TABLE]
for every .
Proof.
We resort to an induction argument. First, we make the same choices as in (12); this (universally) determines the parameter . The first step of induction – the case – follows from Proposition 6. The induction hypothesis refers to the case ; i.e.,
[TABLE]
for some .
In the sequel we address the case . To that end, we introduce an auxiliary function , defined as
[TABLE]
We observe that . In addition solves
[TABLE]
where
[TABLE]
Now, notice that
[TABLE]
Finally, the matrix inherits the Hölder continuity and the -ellipticity of . Therefore, (13) falls within the scope of Proposition 6. Hence,
[TABLE]
by rescaling back to the unitary setting, we get
[TABLE]
and complete the proof. ∎
Proof of Theorem 1.
Let be fixed and take . We must verify that
[TABLE]
where is universal. Fix such that . Observe that
[TABLE]
∎
We conclude this section with a remark on double divergence equations with explicit dependence on lower order terms.
Remark 4**.**
To extend our result to model-problems of the form
[TABLE]
it suffices to impose two conditions on and . Indeed, these maps must be Hölder continuous; such a requirement unlocks the uniform compactness of the solutions. Secondly, a proximity regime must be in force; that is, there must be and so that
[TABLE]
In what follows we focus on the proof of Theorem 2.
4 Hölder continuity of the gradient
This section sets forth the proof of Theorem 2. As before, the main ingredient is a First level-set Approximation Lemma.
Proposition 8** (First Level-set Approximation Lemma).**
Let be a weak solution to (1) and suppose A1 and A3 are in force. Given , there exists such that, if and
[TABLE]
there exists satisfying
[TABLE]
for some , with
[TABLE]
Proof.
We argue by contradiction. Suppose the statement of the proposition is false, in this case there exists and sequences , such that
[TABLE]
[TABLE]
and
[TABLE]
with
[TABLE]
and either or , for every and . By Proposition 4 we have that is uniformly bounded in . Then, through a subsequence, if necessary, there exists a function such that
[TABLE]
for every . In particular
[TABLE]
Then and . Furthermore, as , hence, as before, as .
Here, we evoke once again the sequential stability of the weak solutions, Proposition 3, to conclude that solves
[TABLE]
The regularity theory for constant coefficients implies that . By taking , we produce a contradiction and establish the result. ∎
Remark 5**.**
As in Remark 2, we notice that the norm of in depends on the solution only through its -norm.
Proposition 9**.**
Let be a weak solution to (1) and suppose A1 and A3 are in force. Then, for every , there exists such that, if and
[TABLE]
we can find such that
[TABLE]
Proof.
By Proposition 8, there exists such that
[TABLE]
with . We have
[TABLE]
Now, by choosing
[TABLE]
we obtain
[TABLE]
and finish the proof. ∎
Proposition 10**.**
Let be a weak solution to (1) and suppose A1 and A3 are in force. Then, there exists such that, if and
[TABLE]
we can find for which
[TABLE]
for every and every .
Proof.
We shall verify the proposition by induction. Notice that Proposition 9 amounts to the first step in the induction argument. Suppose we have verified the statement for . It remains to verify it in the case . Define the function
[TABLE]
We start by noting that . Besides, solves
[TABLE]
where
[TABLE]
It is clear that,
[TABLE]
where the inequality follows from A1. Also,
[TABLE]
since , by hypothesis. Similarly
[TABLE]
Hence, (14) falls within the scope of Proposition 9. Therefore
[TABLE]
Re-scaling back to the unit ball, the former inequality implies
[TABLE]
This completes the proof. ∎
Proof of Theorem 2.
The proof follows the general lines of proof of Theorem 1 and will be omitted. ∎
Remark 6**.**
As with in the previous case is possible to extend this result to model-problems of the form
[TABLE]
As before, it suffices to impose two conditions on and . Indeed, the map b must be , and the map c must be , ; such a requirement unlocks the uniform compactness of the solutions. Secondly, a proximity regime must be in force; that is, there must be and so that
[TABLE]
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