Harnack's inequality for a class of non-divergent equations in the Heisenberg group
Farhan Abedin, Cristian E. Guti\'errez, Giulio Tralli

TL;DR
This paper establishes an invariant Harnack's inequality for a class of non-divergent operators structured on Heisenberg vector fields, using barrier constructions and an axiomatic approach.
Contribution
It introduces a novel method for proving Harnack's inequality for non-divergent equations in the Heisenberg group with continuous, symplectic, positive definite coefficients.
Findings
Proves Harnack's inequality in the Heisenberg group setting.
Develops barrier functions for supersolutions.
Utilizes an axiomatic framework to derive the inequality.
Abstract
We prove an invariant Harnack's inequality for operators in non-divergence form structured on Heisenberg vector fields when the coefficient matrix is uniformly positive definite, continuous, and symplectic. The method consists in constructing appropriate barriers to obtain pointwise-to-measure estimates for supersolutions in small balls, and then invoking the axiomatic approach from [DGL08] to obtain Harnack's inequality.
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Taxonomy
TopicsNonlinear Partial Differential Equations · Advanced Harmonic Analysis Research · Numerical methods in inverse problems
Harnack’s inequality for a class of non-divergent equations in the Heisenberg group
Farhan Abedin, Cristian E. Gutiérrez and Giulio Tralli
Department of Mathematics
Temple University
Philadelphia, PA 19122
Department of Mathematics
Temple University
Philadelphia, PA 19122
Dipartimento di Matematica
Sapienza Università di Roma
P.le Aldo Moro 5, 00185 Roma
Abstract.
We prove an invariant Harnack’s inequality for operators in non-divergence form structured on Heisenberg vector fields when the coefficient matrix is uniformly positive definite, continuous, and symplectic. The method consists in constructing appropriate barriers to obtain pointwise-to-measure estimates for supersolutions in small balls, and then invoking the axiomatic approach from [DGL08] to obtain Harnack’s inequality.
C. E. G. was partially supported by NSF grant DMS–1600578
1. Introduction
In this paper we establish regularity properties of solutions to equations of the form
[TABLE]
where is an open set, is symmetric and uniformly positive definite, and are the Heisenberg vector fields, see Section 2.
A challenging problem that researchers have been interested in is to determine the validity of an invariant Harnack’s inequality for all non negative solutions , and for all metric balls , with a constant depending only on the ellipticity constants of the coefficient matrix . When is replaced by a standard uniformly elliptic operator with measurable coefficients, that inequality holds and is the celebrated Harnack inequality of Krylov and Safonov [KS80]. Its proof depends in a crucial way upon the maximum principle of Aleksandrov, Bakelman and Pucci, see for example [GT01, Section 9.8]. A number of insightful generalizations and applications of this principle for various elliptic and degenerate-elliptic pdes have been developed, for example, in [CG97, C97, DL03, N09, S10, M14]. In the context of the Heisenberg group, ABP-type maximum principles have been studied in [DGN03, GM04, BCK15]. However, a difficulty to deal with the operator is that it is not known if a maximum principle holds true in a form that permits to establish pointwise-to-measure estimates for super solutions such as [G16, Theorem 2.1.1]. As a result, this precludes one from extending the method of Krylov and Safonov to obtain Harnack’s inequality in the present context.
On the other hand, it was proved in [GT11], and extended to more general contexts in [T14], that when the ”contrast” of the coefficient matrix , i.e., the ratio between its maximum and minimum eigenvalues, is sufficiently close to one, then the required pointwise-to-measure estimates for super solutions can be obtained by constructing appropriate barriers, and the Harnack inequality follows from the general theory developed in [DGL08].
The purpose in this paper is to show that when the matrix coefficient is uniformly continuous in and is symplectic (see Definition 3.1), then it is possible to construct appropriate barriers in a simple and self contained way and obtain the desired critical density estimates for super solutions on sufficiently small balls. This yields Harnack’s inequality on balls having sufficiently small radius bounded by a constant depending on the modulus of continuity of the matrix , see Theorem 5.1.
For non-divergent sub-Riemannian equations with Hölder continuous coefficients, Harnack’s inequalities, with constants depending on the Hölder continuity, are proved using parametrix methods in [BU07] for Carnot groups, and in [BBLU10] for Hörmander vector fields. Theorem 5.2 below yields a stronger result in , since in this case every matrix of unit determinant is symplectic.
Our techniques can easily be used to obtain Harnack’s inequality for non-divergent uniformly elliptic operators in with uniformly continuous coefficients. This is related to a classical result of Serrin [S55]. Serrin’s proof follows the one for harmonic functions via a Poisson formula, and it exploits the explicit knowledge of the Poisson kernels on balls for constant coefficient operators. The Dini-continuity is then used to show that these kernels can be used as barriers for the variable coefficient operators. In the setting of degenerate elliptic operators, the notion of the Poisson kernel is much more delicate (see [UL97]), and it is unclear how to proceed with Serrin’s strategy. On the other hand, the fundamental solution for the Heisenberg Laplacian in is well known [F73], and the barriers we construct to obtain the critical density estimates are modeled after these special solutions. In fact, in , the fundamental solution of every constant coefficient operator can be written explicitly via a change of basis for the vector fields. A similar change of basis in for is applicable if we are dealing with a symplectic matrix (see Remark 3.3 below), but not with generic matrices (this is related to the fact that the Lie algebra of is not free when , see [BU04, BU05]).
An outline of the paper is as follows. Section 2 contains preliminaries on the Heisenberg group and the operators considered. In Section 3 we include the backbone of our results. Lemma 3.2 contains an important identity, valid for operators with constant symplectic matrix coefficients, that is essential for the proof of Lemma 3.6. This leads to the fundamental Lemma 3.7 where the desired barrier is constructed, and later used in Section 4 to prove the critical density estimates. Finally, Section 5 contains the Harnack inequality and Hölder estimates.
2. Preliminaries
We denote coordinates in as , let denote the identity matrix, and define the matrix
[TABLE]
The Heisenberg Group is the homogeneous Lie group equipped with the composition law
[TABLE]
and the family of dilations
[TABLE]
Here is the standard inner product in . The identity element of the group is , and the inverse is . We consider the homogeneous symmetric norm
[TABLE]
and its associated distance (c.f. [C81]). The balls defined by this distance (called Koranyi balls) will be denoted . For any and any , we have
[TABLE]
where denotes the Lebesgue measure. The number
[TABLE]
is the homogeneous dimension of . The Lie algebra of is generated by the horizontal vector fields
[TABLE]
the horizontal gradient of a function is
[TABLE]
and the horizontal hessian of is the matrix
[TABLE]
where . To simplify the notation, we will always denote the points
[TABLE]
We are concerned with the following class of differential operators
[TABLE]
where is symmetric and uniformly elliptic
[TABLE]
with an open set, and fixed constants. Since we consider only solutions to the homogeneous equation , we may assume without loss of generality that for all . This implies . The class of symmetric matrices with unit determinant satisfying (2.3) is denoted by .
For any constant matrix we let
[TABLE]
At times, it will be convenient for us to work with the modified norms and the corresponding modified distance , which are both one-homogeneous with respect to the dilations . It is easy to show that and are equivalent:
[TABLE]
This implies, in particular, that is a quasi-distance, with constant in the quasi-triangular inequality. Moreover, if we denote by the balls with respect to , we have
[TABLE]
Throughout the paper we will denote by and the distance and the diameter of sets with respect to , whereas we will denote by the one with respect to the modified distance .
3. Main Lemmas
We begin by defining a structural condition on the coefficient matrices that will be necessary to establish our results, such as the critical density property, and eventually, Harnack’s inequality.
Definition 3.1**.**
* is said to be symplectic if it satisfies the identity*
[TABLE]
at all points .
Notice that every symmetric, positive definite matrix with unit determinant is symplectic.
Example. If is given in block form
[TABLE]
where , are symmetric, then satisfies condition (3.1) if and only if the blocks satisfy the identities
[TABLE]
In particular the matrix
[TABLE]
is symplectic, for any symmetric and positive definite.
The following lemma establishes some useful identities satisfied by the function defined in (2.4) when is a symplectic matrix with constant entries.
Lemma 3.2**.**
Suppose is a symmetric, positive definite and symplectic constant matrix. Then
[TABLE]
Conversely, if the first identity in (3.2) holds for in (2.4), then the matrix must be symplectic.
Proof.
Direct calculation shows
[TABLE]
[TABLE]
Using the antisymmetry of , we thus have
[TABLE]
By (3.1) we obtain
[TABLE]
[TABLE]
which proves (3.2).
The converse follows from a review of the previous identities. ∎
Remark 3.3**.**
From (3.2), it is easy to see that the function
[TABLE]
is, up to a multiplicative constant, the fundamental solution of with pole at [math]. In fact, away from the origin we have
[TABLE]
We now proceed to state precisely the continuity assumptions that are needed on the coefficient matrices in (2.2). In the following, denotes the set of continuous matrices in , and denotes the operator norm of a matrix.
Definition 3.4**.**
The modulus of continuity of at the point is
[TABLE]
Definition 3.5**.**
Let be a non-decreasing function satisfying . The class is the set of matrices for which
[TABLE]
Example. Fix and consider the class of matrices satisfying the following uniformly Dini-condition with respect to the distance :
[TABLE]
Then, this class is in with . Indeed, for all and any , we have
[TABLE]
A concrete case is the class of -Hölder continuous matrices with exponent , i.e., ; in this setting an invariant Harnack inequality for is proved in [BU07].
In the following lemma we exploit the continuity of the coefficients, the property (3.1), and Lemma 3.2.
Lemma 3.6**.**
Fix . Suppose is continuous at the point , and the matrix is symplectic. Denote and let . Consider the function
[TABLE]
There exists depending only on and such that
[TABLE]
If in addition is in , then the choice of can be made independent of and (it will depend only on and ).
Proof.
For any , we have for all
[TABLE]
Consider the expressions
We first estimate I. Since , we have
[TABLE]
To estimate II, we write . Using (3.2), we thus obtain
[TABLE]
Assume now that for to be determined. Then , and there exists a positive constant such that
[TABLE]
Also, by using (3.3), we have
[TABLE]
Since , and , we conclude that there exists a constant such that
[TABLE]
Therefore,
[TABLE]
Now, by (3.2), we obtain
[TABLE]
In conjunction with (3.9), this implies the existence of a constant such that
[TABLE]
With the bounds (3.8) and (3.9), we thus conclude there exists some constant such that
[TABLE]
Combining our estimates (3.7) and (3.10) for I and II respectively, and by noticing that , we obtain
[TABLE]
We now choose , with such that . ∎
In preparation for the construction of barriers in the following lemma, we fix , a point , and for symplectic, we consider as before ; also recall defined in (3.6). For any bounded open set , we define the function
[TABLE]
Also, for a smooth non decreasing function of one variable such that for and for , we define for the function
[TABLE]
where . The function is smooth, and converges uniformly to as . In the following we denote
[TABLE]
Lemma 3.7**.**
Let be the constant given in Lemma 3.6. There exists a positive constant depending only on such that for all and with , and for all open sets , we have
[TABLE]
for all , and for all symplectic.
Proof.
Let . Since is symmetric,
[TABLE]
For , by (2.6) and the hypotheses of the lemma we have that
[TABLE]
In particular, for any . By the smoothness of and the left-invariance of the vector fields and the Lebesgue measure, we have
[TABLE]
where stands for the Euclidean length of the standard gradient in and is the standard -dimensional Hausdorff measure in . The last step follows from the divergence theorem since the vector fields in (2.1) are divergence-free. Next we want to replace by in the last two integrals. If , then for , and so in the first integral. In the second integral, if and only if . If is a compactly contained subset of , then for and we have by (2.5). So if satisfies , then we can eliminate in the second integral. Therefore, for any , we obtain
[TABLE]
Multiplying the last identity by and adding over yields
[TABLE]
Since and satisfies the assumptions of Lemma 3.6, we conclude that
[TABLE]
Thus,
[TABLE]
for all . Let
[TABLE]
We now adapt an argument from [BLU07, Section 5.5] to show that can be bounded below by a positive constant independent of and . First notice that, for all ,
[TABLE]
where is as in (3.4). By (3.5) and the divergence theorem, we obtain for any
[TABLE]
obtaining that for all . Multiplying the last identity by , integrating from [math] to , and using the coarea formula yields
[TABLE]
Therefore we obtain that is bounded below uniformly in and , and so from (3.15)
[TABLE]
for all and for all satisfying . ∎
Remark 3.8**.**
Among all the possible sets of fixed measure, the set that maximizes the quantity
[TABLE]
is the ball centered at satisfying (see [GT11, pg. 2112]). We thus have
[TABLE]
Hence, by (2.5), we get
[TABLE]
Therefore there exists a positive constant depending only on such that
[TABLE]
4. Critical density
We now use the barriers constructed in Lemma 3.7 to obtain critical density estimates on balls, first, for balls of radius less than , where is as in Lemma 3.6, and then for arbitrary balls. Recall that is as in (3.13), and is a fixed number in .
Theorem 4.1**.**
There exists such that for all and with , for any symplectic and for any satisfying
- (i)
* in ,*
- (ii)
* in ,*
- (iii)
,
we have
[TABLE]
Proof.
Let . We have
[TABLE]
Let be the constant in (3.14) and consider
[TABLE]
By (i), is nonnegative on . By (iii), there exists a point such that . Therefore,
[TABLE]
Let . Notice that is open, , and
[TABLE]
With this choice of and by defining , we consider the barriers in (3.11), (3.12) respectively. We claim that
[TABLE]
By definition, is non-positive. Since on , it follows that on . Suppose, for contradiction, that there exists such that . Since converges uniformly to as goes to [math], there exists such that for . Let containing and . By (ii), in , and so in . Therefore, by Lemma 3.7, in . From the weak maximum principle for we then infer that . Letting , we conclude that for any containing . This is a contradiction, as on . This proves the claim.
Therefore, by (3.16), (4.2) and recalling that , we obtain
[TABLE]
This, of course, implies
[TABLE]
Choosing therefore gives us
[TABLE]
Notice that depends only on . ∎
Remark 4.2**.**
We can extend Theorem 4.1 to the case where if we assume in addition that . In this case, (4.1) holds with a constant depending also on and .
Since , we have , where . Hence, . From (iii) there exists with . We then have that and . Therefore we can apply Theorem 4.1 with and obtaining
[TABLE]
Hence
[TABLE]
Combining the above with (4.1) gives for
[TABLE]
where .
5. Conclusions and Harnack’s inequality
The Harnack’s inequality now follows from the double ball property (see [GT11, T12]) and the results in [DGL08]. In fact, we have the following Theorem.
Theorem 5.1**.**
Let and let be a function as in Definition 3.5. There exist constants and depending only on and a constant depending in addition on , such that for any symplectic and for any satisfying
[TABLE]
we have
[TABLE]
Proof.
We use the axiomatic approach to prove Harnack’s inequality developed in [DGL08] for the doubling quasi metric Hölder space . The reverse doubling and ring conditions are satisfied from the homogeneity. Moreover, if , then the family of nonnegative supersolutions of satisfies the double ball property by [GT11, Theorem 4.1] (see also [T12]). For this step the continuity of , the symplectic condition, and the restriction on the radius are unnecessary. In addition, if and is symplectic, then from Theorem 4.1 the family
[TABLE]
satisfies the -critical density for each . In fact, if , then and Theorem 4.1 is applicable. It follows from [DGL08, Theorem 4.7, set of conditions (A), and Theorem 5.1] that there exist constants depending only on such that all nonnegative solutions to in satisfy (5.1). If we just need , and the statement is proved. Since the constants in the critical density and double ball properties depend only on , it follows that the constants and in the Harnack inequality also depend only on . ∎
Also, from [DGL08, Theorem 5.3], it follows that the solutions to are Hölder continuous with the estimate
[TABLE]
for small compared to , where the constants and depend only on , and .
By Remark 4.2, using similar reasoning as in the proof of Theorem 5.1, we also have the following.
Theorem 5.2**.**
Let , a function as in Definition 3.5, and . There exist constants depending only on such that, for any symplectic and any satisfying
[TABLE]
we have
[TABLE]
Again, by [DGL08, Theorem 5.3], we obtain an estimate similar to (5.2), with constants and depending in addition on and .
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