Green functions and smooth distances
Abstract.
In the present paper, we show that for an optimal class of elliptic operators with non-smooth coefficients on a 1-sided Chord-Arc domain, the boundary of the domain is uniformly rectifiable if and only if the Green function behaves like a distance function to the boundary, in the sense that is the density of a Carleson measure, where is a regularized distance adapted to the boundary of the domain. The main ingredient in our proof is a corona decomposition that is compatible with Tolsa’s -number of uniformly rectifiable sets. We believe that the method can be applied to many other problems at the intersection of PDE and geometric measure theory, and in particular, we are able to derive a generalization of the classical F. and M. Riesz theorem to the same class of elliptic operators as above.
Key words: Uniform rectifiability, Chord-Arc domains, elliptic operators with non-smooth coefficients, Green functions, regularized distance, Dahlberg-Kenig-Pipher condition.
1. Introduction
1.1. Motivation and predecessors
We consider elliptic operators on a domain . In recent years a finale of an enormous body of work brought a characterization of uniform rectifiability in terms of absolute continuity of harmonic measure (see [AHMMT], a sample of earlier articles: [DJ], [HM1], [HM2], [HMU], [AHM3TV], [Azz2], see also the related article [NTV] which proves the David-Semmes conjecture in codimension 1 and is a key step for the converse established in [AHM3TV]). It also became clear that this characterization has its restrictions, for it fails in the domains with lower dimensional boundaries and it requires, in all directions, restrictions on the coefficients – see a discussion in [DM2]. In these contexts, the Green function emerged as a more suitable object to define the relevant PDE properties. Already the work in [Azz1] and [DM2] suggested a possibility of a Green function characterization of regularity of sets. However, factually, [DM2] provided more than satisfactory “free boundary” results and only weak “direct” results (no norm control). The papers [DLM1], and [DLM2], and [DFM4] aimed at the desired quantitative version of such “direct” results but were restricted to either Lipschitz graphs or sets with lower dimensional boundaries. The primary goal of the article is to show that if is reasonably well-behaved, and provides some access to its boundary, then the boundary of is reasonably regular (uniformly rectifiable) if and only if the Green function behaves like a distance to the boundary.
Let us discuss some predecessors of this work, including the aforementioned ones, in more details. In [Azz1] Theorem VI, it is shown that the affine deviation of the Green function for the Laplace operator is related to the linear deviation of the boundary of the domain. In [DM2], G. David and the third author of the paper show that for a class of elliptic operators, the Green function can be well approximated by distances to planes, or by a smooth distance to , if and only is uniformly rectifiable. The bounds on the Green function given in [DM2] are weak, more precisely, they carry no norm control of the sets where the Green function is close to a distance. Later, stronger and quantitative estimates on the comparison of the Green function and some distance functions are obtained in [DFM4], [DLM1], and [DLM2]. In [DLM1], a quantitative comparison between the Green function and the distance function to the boundary is given for an optimal class of elliptic operators on the upper half-space. Moreover, the proximity of the Green function and the distance function is shown to be precisely controlled by the oscillation of the coefficients of the operator. Next, [DLM2] extends the result of [DLM1] to with strictly less than . But the methods employed in [DLM1] and [DLM2] seem to the authors difficult to be adapted to domains whose boundaries are rougher than Lipschitz graphs. In [DFM4], a bound for the difference of the Green function and smooth distances is obtained for sets with uniformly rectifiable boundaries, but its proof, which might appear surprising, is radically dependent on the fact that the boundary is of codimension strictly larger than 1. Also, the class of operators considered in [DFM4] is not optimal. So the instant motivation for the present work is to obtain a strong estimate on the Green function for an optimal class of operators, similar to the one considered in [DLM1], in a “classical” setting: on domains with uniformly rectifiable boundaries of codimension 1. The method employed here is completely different from [DFM4] or [DLM1], and has the potential to be applicable to many other problems at the intersection of PDE and geometric measure theory.
We should also mention that in [HMT1] and [DLM1], some Carleson measure estimates on the second derivatives of the Green function have been obtained, and that in [Azz1], the second derivative of the Green function for the Laplace operator is linked to the regularity (uniform rectifiability) of the boundary of the domain. However, the result of [Azz1] is only for the Laplace operator, the class of elliptic operators considered in [HMT1] is more general but still not optimal, and the estimates obtained in [DLM1] are restricted to Lipschitz graph domains. We think that our estimates might shed some light on proving an estimate on second derivatives of the Green function for an optimal class of elliptic operators on chord-arc domains.
For the “free boundary” direction, since the weak type property of the Green function considered in [DM2] already implies uniform rectifiablity, one expects the strong estimate on the Green function that we consider in this paper to automatically give uniform rectifiability. However, linking the two conditions directly seems to be more subtle than it might appear, and we actually need to obtain uniform rectifiablity from scratch. We point out that our result also holds for bounded domains, and thus dispensing with the unboundedness assumption on the domain in [DM2].
All in all, this paper is a culmination of all of the aforementioned efforts, featuring a true equivalence (characterization) of geometry through PDEs, and an optimal class of operators.
1.2. Statements of the main results.
We take a domain whose boundary is -Ahlfors regular (AR for shortness), which means that there exists a measure supported on such that
(1.1) |
The domain can be bounded or unbounded. In the unbounded case, . In the rest of the paper, will always be an Ahlfors regular measure on . It is known that the Ahlfors regular measures are the ones that can be written as , where is the dimensional Hausdorff measure on , and is a weight in such that for some constant .
We shall impose more assumptions on our domain. For both the “free boundary” and the “direct” results, we will assume that is a 1-sided Chord Arc Domain (see Definition 2.11). For the “direct” result, we will rely on the assumption that is uniformly rectifiable (see [DS1, DS2] and Section 3 below), and thus ultimately assuming that is a (2-sided) Chord Arc Domain. The optimality of the assumptions on is discussed in more details in the end of this subsection. Since the dimension plays an important role in our paper, and in order to lighten the notion, we shall write for .
Without any more delay, let us introduce the regularized distance to a set . The Euclidean distance to the boundary is denoted by
(1.2) |
For , we define
(1.3) |
The fact that the set is -Ahlfors regular is enough to have that
(1.4) |
where the constant depends on , , and . The proof is easy and can be found after Lemma 5.1 in [DFM2].
The notion of Carleson measure will be central all over our paper. We say that a quantity defined on satisfies the Carleson measure condition - or for short - if there exists such that for any and ,
(1.5) |
Our operators are in the form and defined on . We shall always assume that they are uniformly elliptic and bounded, that is, there exists such that
(1.6) |
and
(1.7) |
A weak solution to in lies in and is such that
(1.8) |
If has sufficient access to the boundary (and is -Ahlfors regular), then for any ball centered on and any function in , we have notion of trace for on . It is well known that if is such that on , and if is a weak solution to on with satisfying (1.6) and (1.7), then is continuous and can be continuously extended by 0 on .
In addition to (1.6) and (1.7), we assume that our operators satisfy a weaker variant of the Dahlberg-Kenig-Pipher condition. The Dahlberg-Kenig-Pipher (DKP) condition was introduced by Dahlberg and shown to be sufficient for the solvability of the Dirichlet problem for some by Kenig and Pipher ([KP]). It was also shown to be essentially necessary in [CFK, MM]. The DKP condition says that the coefficient matrix satisfies
(1.9) |
Our assumption, slightly weaker than the classical DKP, is as follows.
Definition 1.10 (Weak DKP condition).
An elliptic operator is said to satisfy the weak DKP condition with constant on if there exists a decomposition such that
(1.11) |
Obviously, this condition is weaker than (1.9): it allows for small Carleson perturbations and carries no supremum over the Whitney cubes. Moreover, we show in Lemma 2.1 that the weak DKP condition self improves.
We are now ready for the statement of our main result.
Theorem 1.12.
Let , be a 1-sided Chord-Arc Domain, and be a uniformly elliptic operator – i.e., that verifies (1.6) and (1.7) – which satisfies the weak DKP condition with constant on . We write for the Green function of with pole at . The following are equivalent:
-
(i)
is a Chord-Arc Domain,
-
(ii)
is uniformly rectifiable,
-
(iii)
there exists such that for any ball centered on the boundary, and for any positive weak solution to in for which on , we have
(1.13) -
(iv)
there exists such that for any and for any ball centered on the boundary satisfying , we have
(1.14) -
(v)
there exist and such that for any ball centered on the boundary that satisfies , we have (1.14).
Moreover, the constants in (1.13)–(1.14) can be chosen to depend only on , , the CAD constants of , , and .
Remark 1.15.
The bound (1.13) is a local one, meaning for instance that the bound will hold with a constant independent of the and the solution as long as is chord-arc locally in (that is, we only need the existence of Harnack chains and of corkscrew points in ) and the uniformly elliptic operator satisfies the weak DKP condition in .
The equivalence is already well known, see Theorem 1.2 in [AHMNT]. Moreover, is immediate. So we need only to prove and in Theorem 1.12.
When the domain is unbounded, we can use the Green function with pole at infinity instead of the Green function. The Green function with pole at infinity associated to is the unique (up to a multiplicative constant) positive weak solution to with zero trace. See for instance Lemma 6.5 in [DEM] for the construction ([DEM] treats a particular case but the same argument works as long as we have CFMS estimates, see Lemma 2.18 below). So we have that:
Corollary 1.16.
Let , and be as in Theorem 1.12. If is unbounded, the following are equivalent:
-
(a)
is a Chord-Arc Domain,
-
(b)
is uniformly rectifiable,
-
(c)
there exists such that for any ball centered on the boundary, we have
(1.17)
For our proof of the “direct” result, we need the fact that, for the same operators, the -elliptic measure is -absolutely continuous with respect to .
Theorem 1.18.
Let be a Chord-Arc Domain, and let be a uniformly elliptic operator – i.e., that verifies (1.6) and (1.7) – which satisfies the weak DKP condition with constant on .
Then the -elliptic measure , i.e. there exists such that given an arbitrary surface ball , with , , , and for every Borel set , we have that
(1.19) |
where is a corkscrew point relative to (see Definition 2.8).
The constants and - that are called the intrinsic constants in - depend only on , , the CAD constants of , and .
The above is known for operators satisfying the DKP condition (1.9) on Chord-Arc domains. In fact, it is shown in [KP] that for DKP operators on Lipschitz domains. But since the DKP condition is preserved in subdomains, and the Chord-Arc domains are well approximated by Lipschitz subdomains ([DJ]), the property can be passed from Lipschitz subdomains to Chord-Arc domains (see [JK], or [HMMTZ]). Moreover, combined with the stability of the property under Carleson perturbation of elliptic operators proved in [CHMT], it is also known for the elliptic operators for which , where
(1.20) |
However, to the best of our knowledge, the -absolute continuity of the elliptic measure was not proved explicitly for elliptic operators satisfying the slightly weaker condition (1.11).
We obtain Theorem 1.18 as a consequence of the following result - which is another contribution of the article - and Theorem 1.1 in [CHMT].
Theorem 1.21.
Let be a domain in with uniformly rectifiable (UR) boundary of dimension . Let be a uniformly elliptic operator which satisfies the weak DKP condition with constant on . Suppose that is a bounded solution of in . Then for any ball centered on the boundary, we have
(1.22) |
where the constant depends only on , , and the UR constants of .
Notice that in this theorem, we completely dispense with the Harnack chain and corkscrew conditions (see Definitions 2.8 and 2.9) for the domain. Previously, an analogous result was obtained for bounded harmonic functions in [HMM1] (see also [GMT] for the converse) and for DKP operators in [HMM2, Theorem 7.5]. The result for elliptic operators which satisfy the weak DKP condition is again not explicitly written anywhere. However, slightly changing the proofs of a combination of papers would give the result. For instance, we can adapt Theorem 1.32 in [DFM2] to the codimension 1 case to prove Theorem 1.18 in the flat case, then extending it to Lipschitz graph by using the change of variable in [KP], and finally proving 1.18 to all complement of uniformly rectifiable domains by invoking Theorem 1.19 (iii) in [HMM2]).
Here, we claim that we can directly demonstrate Theorem 1.21 using a strategy similar to our proof of Theorem 1.12. In Section 8, we explain how to modify the proof of Theorem 1.12 to obtain Theorem 1.21. By [CHMT] Theorem 1.1, assuming that is 1-sided CAD, the estimate (1.22) implies that , and therefore our Theorem 1.18 follows from Theorem 1.21. Note that the bound (1.19) is a characterization of , see for instance Theorem 1.4.13 in [Ken].
Let us discuss in more details our assumptions for Theorem 1.12. In order to get the bound (1.13), we strongly require that the boundary is uniformly rectifiable and that the operator satisfies the weak DKP condition. We even conjecture that those conditions are necessary, that is, if is not uniformly rectifiable, then the bound (1.13) holds for none of the weak DKP operators.
The corkscrew condition and the Harnack chain condition (see Definitions 2.8 and 2.9) are only needed for the proof of Lemma 7.12 - where we used the comparison principle - and for the implication in Theorem 1.12. However, since most of our intermediate results can be proved without those conditions and could be of interest in other situations where the Harnack chain is not assumed (like - for instance - to prove Theorem 1.21), we avoided to use the existence of Harnack chains and of corkscrew points in all the proofs and the intermediate results except for Lemma 7.12 and in Section 9, even if it occasionally slightly complicated the arguments.
These observations naturally lead to the question about the optimality of our conditions on , and more precisely, whether we can obtain the estimate (1.13) assuming only uniform rectifiablity. The answer is no, as we can construct a domain which has uniformly rectifiable boundary but is only semi-uniform (see Definition 10.1) where (1.13) fails. More precisely, we prove in Section 10 that:
Proposition 1.23.
There exists a semi-uniform domain and a positive harmonic function on such that (1.13) is false.
1.3. Main steps of the proof of
In this section, we present the outline of the proof of in Theorem 1.12. More exactly, this subsection aims to link the results of all other sections of the paper in order to provide the proof.
The approach developed in this article is new and it is interesting by itself, because it gives an alternative to proofs that use projection and extrapolation of measures. Aside from Theorems 1.12 and 1.21, we claim that our approach can be used to obtain a third proof of the main result from [Fen1] and [DM1], which establishes the -absolute continuity of the harmonic measure when is the complement of a uniformly rectifiable set of low dimension and is a properly chosen degenerate operator.
Let and be as in the assumptions of Theorem 1.12, and let and denote the matrices in (1.11). Take to be a ball centered at the boundary, that is , and then a non-negative weak solution to in such that on .
Step 1: From balls to dyadic cubes. We construct a dyadic collection of pseudo-cubes in in the beginning of Section 3, and a collection of Whitney regions associated to in the beginning Section 4. We claim that (1.13) is implied by cubes
(1.24) |
for any cube satisfying and . It follows from the definition of (4.5) that
(1.25) |
and as above.
We take as the collection of dyadic cubes that intersects and such that . There is a uniformly bounded number of them, each of them satisfies and and altogether, they verify
The estimate (1.13) follows by applying (1.24) to each - using (1.4) and (1.1) when needed - and (1.26) below to .
Step 2: Bound on a Whitney region. In this step, we establish that if is such that , then
(1.26) |
We could use Lemma 7.9 to prove this, but it would be like using a road roller to crack a nutshell, because it is actually easy. We first separate
We start with . Observe that , so by (1.4). We deduce that as desired. As for , we construct
and then the Harnack inequality (Lemma 2.15) and the Caccioppoli inequality (Lemma 2.14) yield that
The bound (1.26) follows.
Step 3: Corona decomposition. Let as in Step 1. One can see that we cannot use (1.26) to each and still hope to get the bound (1.24) for . We have to use (1.26) with parsimony. We first use a corona decomposition of , and we let the stopping time region stops whenever or the angle between the approximating planes are too big. We choose and Lemma 3.16 provides a first partition of into bad cubes and good cubes and then a partition of into a collection of coherent regimes .
Let and then . Observe that contains the collection of such that and maybe one extra element, in the case where , which is the intersection with of the coherent regime that contains . In any case is a collection of (stopping time) coherent regimes. In addition, Lemma 3.16 shows that and verifies the Carleson packing condition
(1.27) |
We use this corona decomposition to decompose the sum from (1.24) as
(1.28) |
where . For each cube , the regions are included in and verify , so we can use (1.26) and we obtain
(1.29) |
Step 4: How to turn the estimation of into a problem on . Now, we take in , which is nice because is well approximated by a small Lipschitz graph around any dyadic cube of (see Subsection 3.4 for the construction of ). For instance, fattened versions of our Whitney regions , , are Whitney regions in (see Lemma 4.13). More importantly, at any scale , the local Wasserstein distance between and the Hausdorff measure of is bounded by the local Wasserstein distance between and the best approximating plane, which means that approximate better (or at least not much worse) than the best plane around any . Up to our knowledge, it is the first time that such a property on is established. It morally means that will be well approximated by
whenver , and that the error can be bounded in terms of the Tolsa’s -numbers.
Nevertheless, what we truly want is the fact is well approximated by a plane - instead of a Lipschitz graph - from the standpoint of any , because in this case we can use Lemma 7.9. Yet, despite this slight disagreement, is much better than a random uniformly rectifiable set, because is the image of a plane by a bi-Lipschitz map. So we construct a bi-Lipschitz map that of course maps a plane to , but which also provides an explicit map from any point in to a plane that well approximates - hence - from the viewpoint of . So morally, we constructed such that we have a function
which, when , is a good approximation of
in terms of the Tolsa’s -numbers.
We combine the two approximations to prove (see Lemma 6.30, which is a consequence of Corollary 5.53 and our construction of ) that
where is the gradient of the distance to . And since the satisfies the Carleson packing condition, see Lemma 5.31, we deduce that
(1.30) |
where
We are left with . We make the change of variable in the integral defining and we obtain that
where is the Jacobian matrix of , which is close to the identity by Lemma 6.8. We have also used that since on and the bi-Lipschitz map preserves this equivalence. Even if the term
looks bad, all the quantities inside are constructed by hand, and of course, we made them so that they are close to the quotient , where is the distance to a plane that depends only on . With our change of variable, we even made it so that , that is . Long story short, Lemma 6.32 gives that
(1.31) |
where
Step 5: Conclusion on using the flat case. It is easy to see from the definition that Chord-Arc Domains are preserved by bi-Lipschitz change of variable, and the new CAD constants depends only on the old ones and the Lipschitz constants of the bi-Lipschitz map. Since the bi-Lipschitz constants of is less than 2 (and so uniform in ), we deduce that is a Chord-Arc Domain with CAD constants that depends only on the CAD constants of .
Then, in Section 4, we constructed a cut-off function adapted to . We have shown in Lemma 4.20 that is 1 on and supported in , on which we still have . In Lemma 4.28, we proved that the support of is small, in the sense that implies . What is important is that those two properties are preserved by bi-Lipschitz change of variable, and thus is as in Definition 7.1.
We want the support of to be included in a ball such that is a subset of our initial ball , and such that the radius of is smaller than . But those facts are an easy consequence of (1.25) and the definition of (and the fact that is bi-Lipschitz with the Lipschitz constant close to 1).
We also want to be a solution of for a weak-DKP operator . The operator is not exactly weak-DKP everywhere in , but it is the case on the support of (see Lemma 6.20), which is one condition that we need for applying Lemma 7.9.
To apply Lemma 7.9 - or more precisely for Lemma 7.12, where one term from the integration by parts argument is treated - we need to show that . This is a consequence of Theorem 1.18. Indeed, since the adjoint operator is also a weak DKP operator on , Theorem 1.18 asserts that , where is an Ahlfors regular measure on . A direct computation shows that for any set and any ,
and since the mapping is bi-Lipschitz, implies that the -elliptic measure , where is an Ahlfors regular measure on the boundary of . Moreover, the intrinsic constants in depend only on the intrinsic constants in because the the bi-Lipschitz constants of are bounded uniformly in .
All those verification made sure that we can apply Lemma 7.9, which entails that
(1.32) |
1.4. Organisation of the paper
In Section 2, we present the exact statement on our assumptions on , and we give the elliptic theory that will be needed in Section 7.
Sections 3 to 7 proved the implication in Theorem 1.12. Section 3 introduces the reader to the uniform rectifiability and present the corona decomposition that will be needed. The corona decomposition gives a collection of (stopping time) coherent regimes . From Subsection 3.4 to Section 6, is fixed. We construct in Subsection 3.4 a set which is the graph of a Lipschitz function with small Lipschitz constant.
Section 4 associate a “Whitney” region to the coherent regime so that from the stand point of each point of , and are well approximated by the same planes.
In Section 5, we are applying the result from Section 4 to compare with the distance to a plane that approximate .
Section 6 construct a bi-Lipschitz change of variable that flattens , and we use the results from Sections 4 and 5 in order to estimate the difference
in terms of Carleson measure. Sections 3 to 6 are our arguments for the geometric side of the problem, in particular, the solutions to are barely mentionned (just to explain the effect of on ).
Section 7 can be read independently and will contain our argument for the PDE side of the problem. Morally speaking, it proves Theorem 1.12 when .
Section 8 presents a sketch of proof of Theorem 1.21. The strategy is similar to our proof of Theorem 1.12, and in particular, many of the constructions and notations from Section 3 to Section 7 are adopted in Section 8. But since we do not need to deal with the regularized distance , the proof is much shorter.
Section 9 tackles the converse implication, proving in Theorem 1.12. The proof adapts an argument of [DM2], which states that if is sufficiently close to , then is uniformly rectifiable. As mentioned earlier, we unfortunately did not succeed to link our strong estimate (1.14) directly to the weak ones assumed in [DM2], which explains why we needed to rewrite the argument.
2. Miscellaneous
2.1. Self improvement of the Carleson condition on
Lemma 2.1.
Let be a uniformly elliptic matrix on a domain , i.e. a matrix function that satisfies (1.6) and (1.7) with constant . Assume that can be decomposed as where
(2.2) |
Then there exists another decomposition such that
(2.3) |
with a constant that depends only on , and satisfies (1.6) and (1.7) with the same constant as . In addition,
(2.4) |
Proof: Let as in the assumption of the lemma. Let be a nonnegative function such that , . Construct and then
(2.5) |
We see that is an average of , so verifies (1.6) and (1.7) with the same constant as . So it remains to prove (2.3) and (2.4). Observe that
Let denote , then . So
From here, one easily sees that is bounded by uniformly in and , and thus
which proves (2.4). Set . Then
As a consequence,
We deduce that
and so the fact that is transmitted to , i.e. .
As for , since , we have
(2.6) |
By Fubini’s theorem, to show that , it suffices to show that for any ball centered on the boundary,
From this one sees that the terms on the right-hand side of (2.6) that involves can be easily controlled using . So by the Cauchy-Schwarz inequality, it suffices to control
(2.7) |
Notice that for all , , and thus
Therefore,
by the Poincaré inequality, Fubini’s theorem, and . So again, the Carleson bound on is given to as well. The lemma follows.
2.2. Definition of Chord-Arc Domains.
Definition 2.8 (Corkscrew condition, [JK]).
We say that a domain satisfies the corkscrew condition with constant if for every surface ball with and , there is a ball . The point is called a corkscrew point relative to (or, for at scale ).
Definition 2.9 (Harnack Chain condition, [JK]).
We say that satisfies the Harnack Chain condition with constants , if for every , and every pair of points with and , there is a chain of open balls , , with and The chain of balls is called a Harnack Chain.
Definition 2.10 (1-sided NTA and NTA).
We say that a domain is a 1-sided NTA domain with constants if it satisfies the corkscrew condition with constant and Harnack Chain condition with constant . Furthermore, we say that is an NTA domain if it is a 1-sided NTA domain and if, in addition, also satisfies the corkscrew condition.
Definition 2.11 (1-sided CAD and CAD).
A 1-sided chord-arc domain (1-sided CAD) is a 1-sided NTA domain with AR boundary. The 1-sided NTA constants and the AR constant are called the 1-sided CAD constants. A chord-arc domain (CAD, or 2-sided CAD) is an NTA domain with AR boundary. The 1-sided NTA constants, the corkscrew constant for , and the AR constant are called the CAD constants.
Uniform rectifiability (UR) is a quantitative version of rectifiability.
Definition 2.12 (UR).
We say that is uniformly rectifiable if has big pieces of Lipschitz images, that is, if is -Ahlfors regular (1.1), and there exists such that, for each and , there is a Lipschitz mapping from the ball into such that has Lipschitz norm and
However, we shall not use the above definition. What we do require is the characterization of UR by Tolsa’s -numbers ([Tol] ), as well as a modification of the corona decomposition of uniformly rectifiable sets constructed in [DS1]. See Section 3 for details. We shall also need the following result.
Lemma 2.13.
Suppose that is 1-sided chord-arc domain. Then the following are equivalent:
-
(1)
is uniformly rectifiable.
-
(2)
satisfies the corkscrew condition, and hence, is a chord-arc domain.
2.3. Preliminary PDE estimates
Lemma 2.14 (The Caccioppoli inequality).
Let be a uniformly elliptic operator and be a solution of in , where is a ball with radius . Then there exists depending only on and the ellipticity constant of such that
Lemma 2.15 (The Harnack inequality).
Let be as in Lemma 2.14 and let be a nonnegative solution of in . Then there exists constant depending only on and the ellipticity constant of such that
Write for the transpose of defined by , where denotes the transpose matrix of . Associated with and one can respectively construct the elliptic measures and , and the Green functions and on domains with Ahlfors regular boundaries (cf. [Ken], [HMT1]).
Lemma 2.16 (The Green function).
Suppose that is an open set such that is Ahlfors regular. Given an elliptic operator , there exists a unique Green function with the following properties: , for any , and in the weak sense in , that is,
In particular, is a weak solution to in . Moreover,
(2.17) |
The following lemma will be referred to as the CFMS estimates (cf. [CFMS], [Ken] for NTA domains, and [HMT2] or [DFM3] for 1-sided CAD).
Lemma 2.18 (The CFMS estimates).
Let be a 1-sided CAD domain. Let be an elliptic operator satisfying (1.6) and (1.7). There exist depending only on , , and the -sided CAD constants, such that for any , with , and , we have the following properties.
-
(1)
The elliptic measure is non-degenerate, that is
-
(2)
For we have
(2.19) -
(3)
If are two nontrivial weak solutions of in such that in , then
3. Characterization of the uniform rectifiability
In all this section, we assume that is uniformly rectifiable, and we plan to prove a corona decomposition of the uniformly rectifiable set which is “Tolsa’s -number compatible”.
Instead of a long explanation of the section, which will not be helpful anyway to any reader who is not already fully familiar with the corona decomposition (C3) in [DS1] and the Tolsa -number (see [Tol]), we shall only state below the results proved in the section (the definition of all the notions and notation will be ultimately given in the section below).
Lemma 3.1.
Let be a uniformly rectifiable set. Given any positive constants , there exists a disjoint decomposition such that
-
(i)
The “good” cubes are such that and
(3.2) -
(ii)
The collection of “good” cubes can be further subdivided into a disjoint family of coherent regimes such that for any , there a hyperplane and a -Lipschitz function on such that
(3.3) where depends only on .
-
(iii)
The cubes in (the “bad” cubes) and the maximal cubes satisfies the Carleson packing condition
(3.4)
In the above lemma, is the Ahlfors regular measure for given in (1.1), is a dyadic decomposition of , is the orthogonal projection on , is the best approximating plane of around , and is the Tolsa -number for . The novelty, which is not similar to any of the corona decompositions that the authors are aware of, is (3.3), which quantify the difference between and the approximating graph in terms of -number.
Corona decompositions are a useful and popular tool in the recent literature pertaining to uniformly rectifiable sets, see for instance [DS1], [HMM1], [GMT], [AGMT], [BH], [AHMMT], [BHHLN], [MT], [CHM], [MPT] to cite only a few.
3.1. Dyadic decomposition
We construct a dyadic system of pseudo-cubes on . In the presence of the Ahlfors regularity property, such construction appeared for instance in [D1], [D2], [DS1] or [DS2]. We shall use the very nice construction of Christ [Chr], that allow to bypass the need of a measure on . More exactly, one can check that the construction of the dyadic sets by Christ to not require a measure, and as such are independent on the measure on .
There exist a universal constant and a collection of Borel subsets of , with the following properties. We write
where denotes some index set depending on , but sometimes, to lighten the notation, we shall forget about the indices and just write and refer to as a cube (or pseudo-cube) of generation . Such cubes enjoy the following properties:
-
(i)
for any .
-
(ii)
If then either or .
-
(iii)
if .
-
(iv)
Each pseudo-cube has a “center” such that
(3.5)
Let us make a few comments about these cubes. We decided to use a dyadic scaling (by opposition to a scaling where the ratio of the sizes between a pseudo-cube and its parent is, in average, ) because it is convenient. The price to pay for forcing a dyadic scaling is that if and is the cube of that contains (it is unique by (), and it is called an ancestor of ) is not necessarily strictly larger (as a set) than . We also considered that the was unbounded, to avoid separating cases. If the boundary is bounded, then where is such that , and we let the reader check that this variation doesn’t change a single argument in the sequel.
If is any doubling measure on - that is if for any boundary ball - then we have the following extra property:
-
(v)
for all .
In our construction, (i) and (iii) forces the to be neither open nor closed. But this last property (v) means that taking the interior or the closure of instead of would not matter, since the boundary amounts to nothing.
Let us introduce some extra notation. When is a set, is the sub-collection of dyadic cubes that are contained in . When , we write for the generation of and for , which is roughly the diameter of by (3.5). We also use for the ball and for the boundary ball that appears in (3.5). For , the dilatation is
(3.6) |
which means that .
The dyadic decomposition of will be the one which is the most used. However, we also use dyadic cubes for other sets, for instance to construct Whitney regions, and we use the same construction and notation as the one for . In particular, we will use dyadic cubes in and in a hyperplane that still satisfy (3.5) for the universal constant - i.e. the dyadic cubes are not real cubes - and the definition (3.6) holds even in those contexts.
3.2. Tolsa’s numbers
Tolsa’s numbers estimate how far a measure is from a flat measure, using Wasserstein distances. We denote by the set of affine planes in , and for each plane , we write for the restriction to of the -dimensional Hausdorff measure, that is is the Lebesgue measure on . A flat measure is a measure that can be written where and , the set of flat measure is then denoted by .
Definition 3.7 (local Wasserstein distance).
If and are two -Ahlfors regular measures on , and if and , we define
where is the set of -Lipschitz functions that are supported in .
If , then we set and , where is as in (3.5). Moreover, if is an Ahlfors regular measure on , then we set
Note that
(3.8) |
where depends only on the Ahlfors constants of and .
The uniform rectifiability of is characterized by the fact that, for any -Ahlfors regular measure supported on , and any , we have
(3.9) |
and, for any ,
(3.10) |
For a proof of these results, see Theorem 1.2 in [Tol].
It will be convenient to introduce the following notation. Given , the quantities , , and are such that
(3.11) |
that is is a flat measure which well approximates (as long as is small). So it means that
(3.12) |
Let us finish the subsection with the following simple result.
Lemma 3.13.
There exists depending only on and such that if and verify , then
(3.14) |
Proof: Assume that with . For a given point , we set the function . Observe that
and thanks to (3.12)
By combining the two inequalities above, we have
So necessarily, the support of intersects the support of , that is and the first part of (3.14) is proved. But notice also that the same computations force the constant in the flat measure to be larger than , where is the volume of the -dimensional unit ball. We take now a point and construct . We have
So necessarily, the the support of intersects the support of , that is . The lemma follows.
3.3. Corona decomposition
We first introduce the notion of coherent subset of .
Definition 3.15.
Let . We say that is coherent if
-
(a)
contains a unique maximal element , that is contains all the other element of as subsets.
-
(b)
If and , then .
-
(c)
Given a cube , either all its children belong to or none of them do.
The aim of the section is to prove the following corona decomposition for a uniformly rectifiable boundary .
Lemma 3.16.
Let be a uniformly rectifiable set. Given any positive constants , there exists a disjoint decomposition such that
-
(i)
The “good” cubes are such that and
(3.17) -
(ii)
The collection of “good” cubes can be further subdivided into a disjoint family of coherent regimes that satisfy
(3.18) -
(iii)
The cubes in (the “bad” cubes) and the maximal cubes satisfies the Carleson packing condition
(3.19)
Remark 3.20.
What we secretly expect is, in addition to (3.18), to also have a control on the constants - defined in (3.11) - that belongs to the same . For instance, we would like to have
Imposing this extra condition while keeping the number of low should be doable, but we do not need it, so we avoided this complication.
The difficult part in the above lemma is to prove that (3.18) holds while keeping the number of coherent regimes small enough so that (3.19) stays true. To avoid a long and painful proof, we shall prove Lemma 3.16 with the following result as a startpoint.
Lemma 3.21 ([DS1]).
Let be a uniformly rectifiable set. Given any positive constants , there exists a disjoint decomposition such that
-
(i)
The “good” cubes are such that there exists an affine plane such that
(3.22) -
(ii)
The collection of “good” cubes can further subdivided into a disjoint family of coherent stopping time regimes that satisfies
(3.23) .
-
(iii)
The cubes in and the maximal cubes satisfies the Carleson packing condition
(3.24) .
The proof of Lemma 3.21 is contained in Sections 6 to 11 of [DS1], and the statement that we gave is the combination of Lemma 7.1 and Lemma 7.4 in [DS1]. Lemma 3.16 might already be stated and proved in another article, and we apologize if it were the case. Moreover, the proof of Lemma 3.16 is probably obvious to anyone that is a bit familiar with this tool. However, every corona decomposition has its own small differences, and we decided to write our own using only the results of David and Semmes as a prerequisite.
Proof of Lemma 3.16 from Lemma 3.21. We pick then and small such that . We apply Lemma 3.21 with the choices of and . Note that we can choose
(3.25) |
if is the constant from Lemma 3.13.
Since we applied Lemma 3.21, we have a first disjoint decomposition and a second decomposition into coherent regimes which satisfy (3.22), (3.23), and (3.24).
We define as
where is the constant in Lemma 3.13. Of course, it means that . The coherent regimes may not be contained in , that is may not be a coherent regime anymore. So we split further into a disjoint union of (stopping time) coherent regimes that are maximal in the sense that the minimal cubes of are those for which at least one children belongs to . The collection is then the collection of all the for and .
It remains to check that the , and that we just built satisfy (3.18) and (3.19). For the former, we use the fact that a regime is necessarily included in a , so for any , we have
(3.26) |
by (3.25), (3.23), and our choice of . The fact that satisfies the Carleson packing condition
(3.27) |
is an immediate consequence of the definition of , (3.10), and (3.24). Finally, by the maximality of the coherent regimes , then either is the maximal cube of a coherent regime from the collection , or (at least) the parent or one sibling of belongs to . Therefore, if denotes the parent of a dyadic cube , then for any ,
because of the Carleson packing conditions (3.24) and (3.27), and because . The lemma follows.
3.4. The approximating Lipschitz graph
In this subsection, we show that each coherent regime given by the corona decomposition is well approximated by a Lipschitz graph. We follow the outline of Section 8 in [DS1] except that we are a bit more careful about our construction in order to obtain Lemma 3.47 below. That is, instead of just wanting the Lipschitz graph to be close to , we aim to prove that the Lipschitz graph is an approximation of at least as good as the best plane.
Pick , and then construct the collection of coherent regimes given by Lemma 3.16. Take to be either in , or a coherent regime included in an element of , and let it be fixed. Set and define as the orthogonal projection on . Similarly, we write for the linear plane orthogonal to and for the projection onto . We shall also need the function on : for , define
(3.28) |
We want to construct a Lipschitz function . First, we prove a small result. We claim that for , we have
(3.29) |
Indeed, with such choices of and , we can find such that
and by taking an appropriate ancestor of , we find such that . Since , we can always take - that is thanks to the coherence of - and . Due to (3.17), we deduce that
if is sufficiently small. Since by (3.18), we conclude
if is small enough. The claim (3.29) follows.
Define the closed set
(3.30) |
The Lipschiz function will be defined by two cases.
Case . That is, . In this case, since is closed, there necessarily exists such that . Moreover, (3.29) shows that such is unique, that is is a one to one map on , and we define
(3.31) |
Case . We partition with a union of dyadic cubes, in the spirit of a Whitney decomposition, as follows. Construct the collection as the subset of the dyadic cubes of that are maximal for the property
(3.32) |
By construction, whenever . Moreover, let us check that
(3.33) |
Indeed, if and is such that and , then and hence
So every children of has to satisfies (3.32), which proves (3.33).
By construction of , for each , we can find such that
(3.34) |
We want to associate each with an affine function such that the image of the function defined as approximates well. First, we set
(3.35) |
When , we take such that verifies
(3.36) |
where the minimum is taken over the affine functions and . The uniqueness of the minimum is not guaranteed, but it does not matter for us. The existence is guaranteed, because by (3.34), and hence (3.17) entails that the graph of the that almost realize the infimum are very close to the plane which makes a small angle with . The same argument shows that
(3.37) |
for a constant that depends only on and
(3.38) | is -Lipschitz |
if . We associate to the collection a partition of unity such that , , and on . We then define
(3.39) |
Due to (3.33), the sum in (3.39) is finite and thus the quantity is actually well defined.
For , we define to be the graph of .
Proof: Recall that the property (3.34) implies that as long as . So if and is such that , we necessarily have and then by (3.35). We conclude that and thus that is supported in .
Now, we want to show that is Lipschitz. The fact that is Lipschitz on is an immediate consequence from the definition (3.31) and (3.29). Let us prove now that is Lipschitz on the interior of for every . Take and . Then, since , we have
(3.41) |
by (3.38) and (3.33). We can assume that , because we have already shown that otherwise. So due to (3.34) and (3.33), both and are close to , in the sense that
so we can invoke (3.37) to say that and then
(3.42) |
So if is small enough, (3.41) becomes .
We proved that is Lipschitz on and , so it remains to check that is continuous at every point in . Take and set . Take also such that . Due to (3.37) and (3.42), we have the existence of such that, for any satisfying , we have
(3.43) |
by (3.32) and the fact that is 1-Lipschitz. The latter bound shows in particular that
(3.44) |
if is small enough. The bound (3.44) also implies that and then , and so (3.29) entails that
(3.45) |
The combination of (3.44) and (3.45) proves that the restriction of to has the limit at the point . Since it is true for all , and since is already continuous (even Lipschitz) on and , we conclude that is continuous on . The lemma follows.
We prove that the graph of is well approximated by the same plane as the ones that approximate , as shown below.
Lemma 3.46.
For , we have
Proof: Take . If , then , but since we also have (3.29), we deduce . The bound is then just a consequence of (3.17).
Assume now that . We have so any that verifies is such that by (3.32), that implies by (3.34). Since is a weighted average of the , the estimate (3.37) on gives that
If is such that , then we have again by (3.29) that so (3.17) gives that . We conclude
as desired.
We also need a version of the above lemma, and with a better control in term of the (which is smaller than when ).
Lemma 3.47.
For , we have
Proof: The plane is the union of and , so
The term is easy, because by (3.29), and so we have
We apply (3.12) with the test function
which lies in and takes the value on and on , and we conclude that
as desired.
We turn to the bound on . We know that so is the graph of an affine function with small Lipschitz constant. Therefore, we have
Let be the subfamily of of elements such that that intersects . The fact that implies by (3.32) that . Consequently, because both and are in the form , and then .
Assume first that , and check that this condition implies that , hence for every . So we have
We want to estimate , but now both and are affine, so knowing for different points that are far from each other is enough. By (3.17), we know that contains many points all over , and by using those points to estimate the distance between and , we deduce that
by (3.36), because . Since the are finitely overlapping, see (3.33), the bound on becomes
(3.48) |
We had the same bound on , and with the same strategy, we can conclude that
as desired.
If , the same computations apply. It is possible to have some in for which and thus , but at the same time, we now have , so those verify and do no have any contribution in the above bounds on . Therefore, we also conclude that
The lemma follows.
4. Whitney regions for coherent regimes
We associate the dyadic cubes of to Whitney regions in and therefore associate the coherent family of dyadic cubes obtained in the corona decomposition to a subset of . The idea is similar to the construction found in [HMM1], but we need different properties than those in [HMM1], so we rewrite the construction.
This section will prove the following extension of Lemma 3.1.
Lemma 4.1.
Let be a uniformly rectifiable sets. We keep the notation from Lemma 3.1, and we further have the existence of and a collection of functions such that
-
(a)
are cut-off functions, that is , and .
-
(b)
For any , if , then there exists such that
-
(c)
If , then there exists and such that
-
(d)
For any and any , we have
(4.2) and, if is the graph of ,
(4.3) -
(e)
There exists a collection of dyadic cubes in such that has an overlap of at most 2, and
In particular, with a constant that depends only on .
4.1. Whitney decomposition
We divide into Whitney regions. Usually, one constructs them with dyadic cubes of , but we prefer to construct them directly. We recall that , and for , we define
(4.4) |
It is easy to see that the sets covers . The sets are not necessarily disjoint, but we do not care, we are perfectly happy if is finitely overlapping, and we choose small only because it will make our estimates easier. The sets can be disconnected and have a bad boundary, but that is not an issue, since - contrary to [HMM1] - we won’t try to prove that the are Chord-Arc Domains.
We also need fattened versions of , that we call and , which are defined as
(4.5) |
and
(4.6) |
The exact value of the constant does not matter. In Lemma 4.28, we will choose it large enough to fit our purpose. The first properties of and are the ones that we expect and are easy to prove. We have
(4.7) |
(4.8) |
and
(4.9) |
We want and to be so that we can squeeze a cut-off function between the two sets, which is possible because
(4.10) |
Indeed, if and , then and for any such that , we have
so in particular, , and thus . The claim (4.10) follows.
4.2. Coherent regions associated to coherent regimes
As before, we pick , and then construct the collection of coherent regimes given by Lemma 3.16. Let then be either in , or a coherent regime included in an element of . For such , we define the regions
(4.11) |
Associated to the coherent regime , we have affine planes and , the projections and , a Lipschitz function , and as in Subsection 3.4. We also have the “distance function” defined in (3.28). We now define the Lipschitz graph
(4.12) |
Lemma 4.13.
If and is such that , then
(4.14) |
(4.15) |
and
(4.16) |
Proof: Since , there exists such that . Such verifies and
so and . Lemma 3.46 and (3.17) entail that
if is small enough. Because the plane makes a small angle with , we deduce that
(4.17) |
if is small enough. Define and as the projection onto and . We have thanks to (3.17). In addition, the projection lies in , so using (3.17) again gives the existence of such that . By definition of , the point has to be further away from that so
So one has and hence . Since makes an angle at most with , we conclude that
(4.18) |
if and are small enough. The two bounds (4.17) and (4.18) easily prove (4.16), and also prove (4.14) by writing
The bounds (4.15) is just a consequence of (4.14) and the fact that is the graph of which is a -Lipschitz function with . The lemma follows.
Let be such that , on , on and . We set
(4.19) |
We want to prove the points , , and of Lemma 4.1, that is
Lemma 4.20.
Remark 4.21.
We know from its definition that on , but the support of can reach the boundary . So if , then we actually have
Proof: Take and , and pick such that . We want to show that , i.e. that
(4.22) |
and
(4.23) |
For (4.23), it suffices to notice that by (4.14) and by the definition of and . As for (4.22), observe that by the triangle inequality and (4.16), and thus
by (4.14).
It remains to verify that is supported in , because (4.2) and (4.3) are then just (4.14) and (4.15). So we pick which means in particular that
(4.24) |
and
(4.25) |
and we want to show that . By definition of , there exists such that
by (4.24) and (4.25). Since is coherent, by taking a suitable ancestor of , we can find such that
(4.26) |
and
(4.27) |
We want to prove that . The combination of (4.27), Lemma 3.46, and (3.29) forces when is small, and hence by (4.26). Let such that . Since , we have , and of course . So it remains to verify if . In one hand, thanks to (3.17), we know that lies close to , in the sense that . In the other hand, if is the graph of the function , we have
by Lemma 3.46 and (4.26); that is is far from . Altogether, we deduce that
if and are small. The lemma follows.
We are left with the proof of point in Lemma 4.1, which is:
Lemma 4.28.
There exists a collection of dyadic cubes in such that has an overlap of at most 2, and
For each , we construct the ball . The radius of is bounded uniformly by . So by the Vitali lemma, we can find a non overlapping subfamily such that . We use (4.16) and (4.14) to find a point . We take to be the unique dyadic cube such that such that and . By construction, we have , so the are non-overlapping, and .
5. Replacement lemma and application to the smooth distance
As usual, let , and then construct the collection of coherent regimes given by Lemma 3.16. We take then to be either in , or a coherent regime included in an element of .
In Lemma 3.47, we started to show that the graph of behaves well with respect to the approximating planes , and we want to use the graph of as a substitute for . Roughly speaking, the graph of the Lipschitz function is “a good approximation of for the regime ”. Let us explain what we mean by this. The Lipschitz graph defined in (4.12) is uniformly rectifiable, that is, is well approximated by planes. And even better, we can easily construct explicit planes that approximate .
First, we equip with an Euclidean structure, which means that can be identified to . Similarly, we identify to , and of course, we choose and such that and , and so can be identified to .
We take a non-negative radial smooth function which is supported in the unit ball and that satisfies . Even if depends on the regime , is identified to , so morally the smooth function is defined on and does not depend on anything but the dimension . For , we construct the approximation of identity by
(5.1) |
then the functions
(5.2) |
and the planes
(5.3) |
Notice that is the tangent plane of the approximating graph at . What we actually want is flat measures, so we fix a radial function such that , , and on . We set then
(5.4) |
and
(5.5) |
where the second inequality uses the fact that we centered at , and . Note that the Ahlfors regularity of implies that
(5.6) |
whenever is close to - which is the case when - and with constants that depend only on and . Finally, we introduce the flat measures
(5.7) |
The flat measures are approximations of the Hausdorff measure on , and we shall show that the same explicit measures almost minimize the distance from to flat measures, for the local Wasserstein distances with .
Lemma 5.8.
For , , and , we have
(5.9) |
where depends only on and .
The lemma is not very surprising. The plane is obtained by locally smoothing , which is composed of pieces of planes that approximate .
Proof: Thanks to the good approximation properties of the Lipschitz graph that we obtain in Section 3.4, this lemma can be proved similarly as Lemma 5.22 in [DFM2].
Let , , and with be fixed. Denote . By Lemma 3.16, . Since we have chosen sufficiently small, Lemma 3.13 gives that
(5.10) |
Define a Lipschitz function by
where . Then set . Observe that , and that , because by (5.10). Hence . By using successively the facts that , and (3.12), we have that
(5.11) |
Now we estimate the distance from to . Write
Notice that our choice of and ensures that
(5.12) |
So we have that
(5.13) |
where we have used Lemma 3.47. We claim that
(5.14) |
Let be fixed. Denote by the orthogonal projection on the orthogonal complement of . Then
(5.15) |
Also, is a single point . Denote . Let , . Then . We estimate . By definition, we write
where in the last equality we have used that . Notice that , so we have that
by (5.12) and Lemma 3.47. This gives that
(5.16) |
Next we compare (defined in (3.11)) and , and claim that
(5.17) |
We intend to apply (3.12) to the 1-Lipschitz function . So we need to check that . By the construction of , we have that . By Lemma 3.40 and the fact that has been chosen to be small,
(5.18) |
So . We show that
(5.19) |
Then the assumption gives that , as desired. To see (5.19), we recall that , and so . Let be a point such that , where the last inequality is due to Lemma 3.46. Notice that by the definition (3.28), . So if , then , and thus
as desired. If , then we can apply (3.29) to get that . By the triangle inequality, , and so . Hence, we still have that
which completes the proof of (5.19). We have justified that , so we can apply (3.12) to this function and obtain that
(5.20) |
We now estimate . Denote by the orthogonal projection from to ; by (5.16) this is an affine bijection, with a constant Jacobian that satisfies
(5.21) |
By a change of variables , we write
(5.22) |
We compare and . For , . So by (5.14), for
(5.23) |
Moreover, the support property of implies that is not zero when either or . By the triangle inequality and (5.14),
Since is sufficiently small, we get that when , . So by (5.23) and the fact that ,
(5.24) |
Recalling the definition of , we have obtained that . By the triangle inequality, (5.21), and the fact that ,
By this, the triangle inequality and (5.20),
(5.25) |
which implies that because is sufficiently small. But we know by (5.6), so and then (5.25) yields the desired estimate (5.17).
Finally, we are ready to show that
(5.26) |
Let . We have that
An argument similar to the one for (5.24) gives that
So
(5.27) |
which proves (5.26). Now (5.9) follows from (5.26) and (3.12). ∎
We want to use the flat measures to estimate the smooth distance introduced in (1.3). But before that, we shall need to introduce
(5.28) |
where is the unique ancestor of such that , and then for ,
(5.29) |
The collection is nice, because we have
(5.30) |
whenever and is the parent of , a property which is not satisfied by the . And of course the ’s still satisfies the Carleson packing condition.
Lemma 5.31.
Proof: By Cauchy-Schwarz,
Therefore,
(5.33) |
where is the sum over such that , and is the rest. By (3.8) and Alfhors regularity of ,
For , we observe that , and that for each , it has at most descendants such that . Therefore,
by (3.9). Returning to (5.33), we have that
as desired.
The quantities are convenient, because we can now obtain an analogue of Lemma 5.8 where we don’t need to pay too much attention on the choices of and .
Lemma 5.34.
Let and . For , , and , we have
(5.35) |
where depends only on , , , and .
Proof: First, we prove that when and , we have
(5.36) |
We set . We also take a dyadic cube such that , and then we pick . By Lemma 5.8, we have that
so too. Consequently, the claim (5.36) is reduced to
(5.37) |
For this latter bound, we decompose
(5.38) |
where is chosen so that , and is bounded by . We look at , but since we are dealing with two flat measures that intersects , Lemma A.5 in [Fen1] shows that
(5.39) |
and then Lemma 5.8 and the fact that entail that
(5.40) |
A similar reasoning gives that
(5.41) |
whenever . The combination of (5.38), (5.40), and (5.41) shows the claim (5.37) and thus (5.36).
In the general case, we pick the smallest ancestor of such that and , and we apply (5.36) to get
The lemma follows then by simply observing that .
We need the constant
(5.42) |
and the unit vector defined as the vector
(5.43) |
which is of course constant on the two connected components of . We are now ready to compare with the distance to .
Lemma 5.44.
Let , , and . We have
(5.45) |
and
(5.46) |
where the constant depends only and .
Proof: Denote , and . By the definition of , and . We show that in addition,
(5.47) |
and
(5.48) |
Since , . Then because is the graph of a -Lipschitz function. Write
then use (4.14) and (5.18) to get
and thus (5.47) follows. To see (5.48), we only need to show that . Notice that is a normal vector of the plane , and that . So
(5.49) |
by (see (6.2)). We have that , and that by (4.15). So
Now we prove (5.45). We intend to cut the integral into pieces. So we introduce a cut-off function , which is radial, , and . Then we set for and , and define for . Denote . We have that , for , and that
Now we can write
with . We intend to compare and . Both integrals are well-defined because of (5.48). Observe that
by a change of variables. So
(5.50) |
We are interested in the Lipschitz properties of because we intend to use Wasserstein distances. We claim that
(5.51) |
where . In fact, by (5.47) and the support properties of , if , then
If , then by (5.48), for ,
So (5.51) is justified. But is not a Lipschitz function in because can get arbitrary close to when is small. Set
Then by (5.51), for , and therefore,
(5.52) |
The good thing about is that it is Lipschitz. A direct computation shows that , and . Moreover, is supported on , which is contained in . To see this, one can use (5.18), (5.19), and to get that
Write
By the definition (3.11) of and properties of , . We then have , but because we are looking at the Wasserstein distance between two flat measures whose supports intersect , Lemma A.5 in [Fen1] shows that
and thus
by Lemma 5.34. The terms can be bounded by a Wasserstein distance between planes, and similarly to , we get
Altogether, we obtain that
which is (5.45).
We claim that (5.46) can be established similarly to (5.45) as long as one expresses the left-hand side of (5.46) appropriately. A direct computation shows that
On the other hand,
By [Fen1] (3.30), for all . Hence
Now we set . Using (5.47) and (5.48), we can see that is Lipschitz on . Then we can play with measures as before to obtain (5.46).
Corollary 5.53.
Let , , and . We have
(5.54) |
where the constant still depends only and .
6. The bi-Lipschitz change of variable
The results in this section are similar, identical, or often even easier than the ones found in Sections 2, 3, and 4 of [DFM2]. Many proofs will only be sketched and we will refer to the corresponding result in [DFM2] for details.
As in the previous sections, we take and we use Lemma 3.16 with such to obtain a collection of coherent regimes. We take then that either belongs to , or is a coherent regime included in an element of . We keep the notations introduced in Sections 3, 4, and 5.
6.1. Construction of
In this section, the gradients are column vectors. The other notation is fairly transparent. A hyperplane is equipped with an orthonormal basis and correspond to the vector of the derivatives in each coordinate of in this basis; or are the derivatives with respect to or , that are always explicitly written; or are the gradients in seen as .
Lemma 6.1.
The quantities and are bounded, that is, for any and any ,
(6.2) |
In addition, , that is, for any and any ,
(6.3) |
In both cases, the constant depends only on (and ).
Proof: The result is well known and fairly easy. The boundedness is proven in Lemma 3.17 of [DFM2], while the Carleson bound is established Lemma 4.11 in [DFM2] (which is itself a simple application of the Littlewood-Paley theory found in [Ste, Section I.6.3] to the bounded function ).
Observe that the convention that we established shows that is dimensional horizontal vector. We define the map as
(6.4) |
if and . Because the codimension of our boundary in 1 in our paper, contrary to [DFM2] which stands in the context of domains with higher codimensional boundaries, our map is way easier than the one found in [DFM2]. However, the present mapping is still different from the one found in [KP], and has the same weak and strong features as the change of variable in [DFM2]. Note that the coordinate of , , is
(6.5) |
Note that is continuous on , because both and converges (uniformly in ) to as . The map is on , and we compute the Jacobian of which is
(6.6) |
where and refers to respectively the line and the column of the matrix. We define the approximation of the Jacobian as
(6.7) |
Lemma 6.8.
We have the following pointwise bounds:
-
(i)
,
-
(ii)
,
-
(iii)
,
-
(iv)
,
-
(v)
,
-
(vi)
,
In each estimate, the constants depends only on and .
Proof: Only a rapid proof is provided, and details are carried out in the proof of Lemmas 3.26, 4.12, 4.13, and 4.15 in [DFM2].
The items (i) and (ii) are direct consequences of (6.2) and the definitions of and .
For items and , we use the fact that the determinant is the sum of products of coefficients of the matrix. More precisely, the Leibniz formula states that
(6.9) |
where is the sets of permutations of and is the signature. So the difference between the determinant of two matrices and is the sum of products of coefficients of and , and each product contains at least one coefficient of . With this observation, and follow from and .
The items and shows that both and are close to - say in - as long as is small enough. This implies that
(6.10) |
by . Cramer’s rule states that the coefficients of is the quotient of a linear combination of product of coefficients of over . By using Cramer’s rule to and , (6.10), and , we obtain .
Finally, the bound on and are obtained by taking the gradient respectively in (6.9) and in Cramer’s rule.
Lemma 6.11.
For any and , we have
(6.12) |
and
(6.13) |
where depends only on (and ).
Proof: The lemma is an analogue of Lemma 3.40 in [DFM2]. But since the lemma is key to understand why is a bi-Lipschitz change of variable, and since it is much easier in our case, we prove it carefully.
By definition of ,
So the mean value theorem applied to the continuous function [recall that is Lipschitz and is the convolution of with a mollifier, so we even have a uniform convergence of to ] entails that
(6.14) |
by (6.2). Therefore, (6.13) is proven and we have
(6.15) |
is the upper bound in (6.12). The middle bound of (6.12) is immediate, since . It remains thus to prove the lower bound in (6.12). Let be such that . We know that
if is small enough, hence too. So
by (6.13). But by Lemma 3.40, the function is -Lipschitz, so we can continue with
The lemma follows.
Lemma 6.16.
The map is a bi-Lipschitz change of variable that maps to .
Proof: See Theorem 3.53 in [DFM2] for more details. We shall show that is a bi-Lipschitz change of variable from to
and a similar argument also give that is a bi-Lipschitz change of variable from to
The lemma follows because we know that is continuous on .
First, we know by the lower bound in (6.12) that the range of never intersects , so since is connected, it means that is included in either or . A quick analysis of , for instance (6.13), shows that .
At any point the Jacobian of is close to the identity, as shown by and of Lemma 6.8. So is a local diffeomorphism, and the inversion function theorem shows that there exists a neighborhood of such that is a bijection between and its range , which is a neighborhood of . Since the Jacobian is uniformly close to the identity, all the are bi-Lipschitz maps with uniform Lipschitz constant.
If , we define the degree of the map as
We want to prove that is constantly equal to 1. If this is true, then the lemma is proven and we can construct the inverse locally by inversing the appropriate bijection .
We already know that the number of points that satisfies is countable, because we can cover by a countable union of the neighborhoods introduced before. Moreover, if , then we can find points such that and so disjoint neighborhoods of . Consequently, each point in the neighborbood of satisfies . This proves that is constant on any connected component, that is
It remains to prove that for one point in . Take far from the support of , for instance and . In this case, we have and . Let be such that , the bound 6.12 entails that and (6.12) implies that . Those conditions force to stay far away from the support of , which implies that . We just proved that , as desired.
6.2. Properties of the operator
Lemma 6.17.
Proof: The maps is a bi-Lipschitz change of variable on , so the construction (6.18) properly define a matrix of coefficients in .
Let be a weak solution to in . Then, for any , we have
because is equal to the matrix multiplication by definition of the Jacobian. Recall that , so doing the change of variable gives
(6.19) |
The function may not be smooth anymore, but is still compactly supported in and in , so is a valid test function for the weak solution , and so the right-hand side of (6.19) is 0. We conclude that
for any , hence is a weak solution to in .
The same reasoning shows that is a weak solution to in whenever is a weak solution to in . The lemma follows.
We want to say that satisfies the same Carleson-type condition as . For instance, we want to say that - which implies - will give that . However, it is not true, for the simple reason that the Carleson estimates on are related to the set while the ones on are linked to the domain . Since is the product of these two objects, we only have Carleson estimates for in the areas of where looks like .
Lemma 6.20.
Assume that the matrix function defined on satisfies (1.6) and (1.7), and can be decomposed as where
(6.21) |
Then the matrix constructed in (6.18) can also be decomposed as where satisfies (1.6) and (1.7) with the constant , is uniformly bounded by , and
(6.22) |
for a constant that depends only on and the ellipticity constant .
Proof: Let as in the lemma. Without loss of generality, we can choose to be a smooth average of (see Lemma 2.1) and so satisfies (1.6) and (1.7) with the constant and . Define
and of course . First, Lemma 6.8 shows that is close to and is close to the identity, so satisfies (1.6) and (1.7) with the constant . Moreover, the same Lemma 6.8 gives that , , and , and hence
and
Lemma 6.1 entails that , so verifies , so thus (6.22) is the only statement we still have to prove. Lemma 6.1 also implies that . Therefore, it suffices to establish that
(6.23) |
Take and . We want to show that
(6.24) |
If , the left hand side above is zero and there is nothing to prove. Otherwise, pick a point . The fact that means that
(6.25) |
since and by Lemma 6.8. Because is -Lipschitz with , we deduce
(6.26) |
The fact that implies by (4.14) that
(6.27) |
thanks to (6.26). Moreover, if is such that ,
(6.28) |
by using in order (4.16), the fact that is -Lipschitz, (6.27), and (6.25). Fix and such that . The inequalities (6.25) and (6.28) show that,
that is
(6.29) |
We are now ready to conclude. We make the change of variable in (6.24), and since is a bi-Lipschitz change of variable that almost preserves the distances (because ), we obtain
by using (4.15) and then the fact that . The lemma follows.
6.3. Properties of the composition of the smooth distance by
The change of variable maps to , so for any , the quantities and make sense as and , respectively, where . With this in mind, we have the following result.
Lemma 6.30.
For any , we have
(6.31) |
with a constant that depends only on , , and .
Proof: The lemma is a consequence of Corollary 5.53 and the definition of .
First , Lemma 4.1 (d) entails that , which means that the quantities and are well defined in (6.31). Let and set .
On one hand, Lemma 6.11 gives that
and
By projecting the left-hand side on , the latter implies that
On the other hand, since , Lemma 4.13 gives that
and, if is such that , then by (4.16),
which implies that
Altogether, we have
and
If we throw in the fact that by definition of , then we easily observe that and satisfy the assumptions of Corollary 5.53, and so
We conclude that
Lemma 6.32.
We have
(6.33) |
where depends only on (and ).
Proof: From the definition, we can see that is the affine plane that goes through the point and whose directions are given by the vectors , that is is the codimension 1 plane that goes through and with upward unit normal vector
The vector function is just or , depending whether lies above or below .
Observe that , which means that is the projection of onto and that
Moreover, lies above if and below otherwise, that is
From all this, we deduce
(6.34) |
Recall that . Together with (6.34), we obtain that the left-hand side of (6.33) is equal to
(6.35) |
Take , and notice that the set is included in by definition of and by (4.16). Since the Jacobian of is close to the identity, almost preserves the distance, and hence . We conclude that
7. The flat case.
In this section, we intend to prove an analogue of Theorem 1.12 when the boundary is flat, that is when the domain is . This is our main argument on the PDE side (contrary to other sections which are devoted to geometric arguments) and the general case of Chord-Arc Domains is eventually brought back to this simpler case.
We shall bring a little bit of flexibility in the following manner. We will allow to be different from , but we shall stay away from the parts where differs from with some cut-off functions. More exactly, we shall use cut-off functions that guarantee that whenever . We shall simply use for . We start with the precise definition of the cut-off functions that we are allowing.
Definition 7.1.
We say that is a cut-off function associated to both and if , and there is a constant such that ,
(7.2) |
and there exists a collection of dyadic cubes in such that
(7.3) | is finitely overlapping with an overlap of at most , |
and
(7.4) |
The condition (7.2) allows us to say that
(7.5) |
so we can pass from Carleson measures in to Carleson measure in . For instance, we have
(7.6) |
and vice versa. The conditions (7.3) and (7.4) ensure that (and hence ) satisfies the Carleson measure condition on . So by (7.6),
(7.7) |
And if the support of of is contained in a ball of radius centered on , then
(7.8) |
We are ready to state the main result of the section.
Lemma 7.9.
Let be a Chord-Arc Domain and let be a uniformly elliptic operator on , that is verifies (1.6) and (1.7). Assume that the -elliptic measure , where is the adjoint operator of , and is an Ahlfors regular measure on . Let be as in Definition 7.1 and be supported in a ball centered on the boundary . Assume that the coefficients can be decomposed as where
(7.10) |
Then for any non-negative nontrivial weak solution to in with zero trace on , one has
(7.11) |
where depends only on the dimension , the elliptic constant , the 1-sided CAD constants of , the constant in Definition 7.1, and the intrinsic constants in .
The above lemma is the analogue of Theorem 2.21 from [DFM4] in our context, and part of our proof will follow the one from [DFM4] but a new argument is needed to treat the non-diagonal structure of .
We need for the proof of the following intermediate lemma. Essentially, we need that the logarithm of the Poisson kernel lies in . Let us state and prove it directly in the form that we need.
Lemma 7.12.
Proof of Lemma 7.12. The first step is to replace by the elliptic measure. Take and to be two corkscrew points for at the scale . If is the Green function associated to in and is the elliptic measure associated to the adjoint , the CFMS estimates (Lemma 2.18) entails, for , that
where . Moreover, if , then by (7.2). Altogether, we have
(7.13) |
Set , and ,
(7.14) |
The second step is to use the fact that is -absolutely continuous with respect to . To that objective, we define for
and then . Since the collection is finitely overlapping, due to (7.3), the bound (7.14) becomes
(7.15) |
We want thus to estimate . Observe first that for any , intersects . Therefore and have to be inside for a large depending only on the constant in (4.6). The finite overlapping (7.3) also implies that
For , we have
(7.16) |
The elliptic measure is -absolutely continuous with respect to by assumption, so for , we use the characterization (iv) from Theorem 1.4.13 in [Ken] to deduce
(7.17) |
for some independent of , , and . We reinject (7.16) and (7.17) in (7.15) to conclude that
because is Ahlfors regular. The lemma follows.
Proof of Lemma 7.9. The proof is divided in two parts: the first one treats the case where for , and the second one shows that we can come back to the first case by a change of variable, by adapting the method presented in [Fen2].
Observe that can be decomposed as where and . Both and are as in Definition 7.1 with constant . So it is enough to prove the lemma while assuming
(7.18) |
The proof of the case is of course identical up to obvious changes.
Step 1: Case where for on and satisfies (1.6) and (1.7) with the same constant as . If , this assumption on implies that
(7.19) |
whenever and
(7.20) |
We want to prove (7.11) with the assumption (7.18), and for this, we intend to establish that
(7.21) |
which implies the desired inequality (7.11) provided that is a priori finite. However that is not necessary the case, because some problems can occur when is close to 0. So we take such that when , when , and . We construct then and . It is not very hard to see that
and therefore that is as in Definition 7.1 (with ). The quantity
is finite, because is compactly supported in both and (the fact that is in for a non-negative nontrivial solution to is a consequence of the Caccioppoli inequality and the Harnack inequality). So, we prove (7.21) for instead of , which implies as we said, and take to deduce (7.11).
We are now ready for the core part of the proof, which can be seen as an elaborate integration by parts. Our previous discussion established that we (only) have to prove (7.21), and that we can assume that is compactly supported in . We use the ellipticity of and the boundedness of to write
We deal first with . We use the fact that and (7.19) to obtain
The term can be then bounded with the help of the Cauchy-Schwarz inequality as follows
by (7.10). As for , observe that multiplying by any constant inside the logarithm will not change the term (because we differentiate the logarithm). As a consequence, we have
by successively using integration by parts and Lemma 7.12.
We turn to , and we want now to use the fact that is a weak solution to . So we notice that
Since is compactly supported, we have that on (by the Harnack inequality, see Lemma 2.15) and (by the Caccioppoli inequality, see Lemma 2.14). Therefore is a valid test function for the solution to , and then . As for , we have
The term is similar to . The boundedness of and the Cauchy-Schwarz inequality infer that
by (7.8). The quantity is even easier since
again by (7.8). It remains to bound . We start as for by writing
The term is like , and by using instead of , we obtain that . The term does not contain the solution , but it is a bit harder than to deal with, because is not as nice as . We use and (7.19) to get
We easily deal with by using the Cauchy-Schwarz inequality as follows:
by (7.10). As last, observe that
but the first integral in the right-hand side above is zero, so
by (7.8) and the fact that . The inequality (7.11) under the three assumptions (7.19), (7.20), and (7.10) follows.
Step 2: We can assume that is as small as we want.
We construct
(7.22) |
where is the identity matrix. Note that is elliptic with the same elliptic constant as . We choose then a bump function supported in , that is and . We construct , which satisfies , and then
(7.23) |
for a large to be fixed later to ensure that (7.28) below is invertible. Since is some average of , then
(7.24) | is elliptic and bounded with the same constant as and . |
The construction is similar to the one done in Lemma 2.1, so we do not write the details again. Observe also that
(7.25) |
In addition, we have that
and if denotes , the Poincaré inequality entails that
Step 3: The change of variable. We write as the block matrix
(7.26) |
where is the scalar function , so is a matrix of order , and are respectively a vertical and a horizontal vector of length . We use for the horizontal vector , and we define
(7.27) |
which is a Lipschitz map from to (since and are uniformly bounded, see (7.24) and (7.25)), and we compute its Jacobian
(7.28) |
We can choose big enough in (7.25) such that is invertible and even . Let be the matrix
(7.29) |
We easily have that
(7.30) |
We aim to use for a change of variable. If is a weak solution to , then is solution to where
(7.31) |
We want to compute . To lighten the notation, we write for a scalar function, a vector, or a matrix which satisfies the Carleson measure condition with respect to , i.e. can change from one line to another as long as . So (7.30) becomes
(7.32) |
Remember that by construction, the matrix equals on , and that and are uniformly bounded, so
(7.33) |
with our choices of . We write for . The matrices and satisfy (7.10) (because the Carleson measure condition is stable under bi-Lipschitz transformations) and has the structure (7.19) as in Step 1. So Step 1 gives that
(7.34) |
If (and ) is also used, by notation abuse, for the projection on the last coordinate, then
Yet, is a bi-Lipschitz change of variable, so and are uniformly bounded, and we have
(7.35) |
by (7.34). As for , we simply observe that and
to deduce that . The lemma follows.
8. Proof of Theorem 1.21
In this section we prove Theorem 1.21, using the same strategy as our proof of Theorem 1.12. As mentioned in the introduction, we shall explain how to change the 5-step sketch of proof given in Subsection 1.3 to prove Theorem 1.21.
Fix a bounded solution of in with and a ball centered on with radius . By the same argument as Step 1 in in Subection 1.3, it suffices to show that there exists some constant depending only on , and the UR constants of , such that
(8.1) |
for any cube that satisfies and .
Then observe that if is a Whitney region, that is, and , then
(8.2) |
by the Caccioppoli inequality and , where is an enlargement of . This bound (8.2) is the analogue of (1.26), and proves Step 2.
Step 3 is not modified. We pick and we use the corona decomposition constructed in Section 3 to decompose as follows.
Step 4 is significantly simpler for Theorem 1.21, because we do not need any estimate on the smooth distance , but the spirit is the same. That is, by using the bi-Lipschitz map constructed in Section 6, can be turned into an integral on , which can be estimated by an integration by parts argument. More precisely, for any fixed ,
by (4.15), Lemmata 4.1 (d) and 6.8, as well as (6.12), for sufficiently small.
The fifth step consists roughly in proving the result in . The function is the same as the one used to prove Theorem 1.12, in particular it is a cutoff function associated to both and as defined in Definition 7.1, and it satisfies
(8.3) |
and
(8.4) |
where the implicit constant depends on and the AR constant in (1.1). Notice that is a bounded solution of that satisfies , where is defined in (6.18). By Lemma 6.20, will follow from the following lemma, which is essentially a result in .
Lemma 8.5.
Let be a uniformly elliptic operator on . Assume that the coefficients can be decomposed as where
(8.6) |
where is as above. Then for any solution of in that satisfies , there holds
(8.7) |
where depends only on the dimension , the elliptic constant , the AR constant of , and the implicit constant in (8.4).
The proof of this lemma is similar to the proof of Lemma 7.9, except that there is no need to invoke the CFMS estimates and as in Lemma 7.12, essentially because is bounded and we do not need information of on the boundary. For the same reason, with the properties of the cutoff function in mind, we can forget about the domain , and in particular, we do not need the corkscrew and Harnack chain conditions in the proof.
Proof of Lemma 8.5.
We can decompose and prove the result for each of the functions and , and since the proof is the same in both cases (up to a sign), we can restrain ourselves as in the proof of Lemma 7.9 to the case where . By an approximation argument as in Step 1 of the proof of Lemma 7.9, we can assume that is finite, and that is compactly supported in . We first assume that has the special structure that
(8.8) |
Then for any ,
(8.9) |
Using ellipticity of and boundeness of , we write
since . We write as
By Cauchy-Schwarz and Young’s inequalities, as well as the boundedness of and ,
So (8.4) and (8.6), as well as (8.3) give that
For , we write
by writing and applying (8.9). For , we use Cauchy-Schwarz and Young’s inequalities, and get
by the boundedness of , (8.4), (8.6), and (8.3). The boundedness of the coefficients and implies that
by (8.4). Altogether, we have obtained that , and thus the desired estimate (8.7) follows.
We claim that the lemma reduces to the case when (8.8) holds by almost the same argument as in Steps 2 and 3 in the proof of Lemma 7.9. That is, we can assume that with to be chosen to be sufficiently large, and then we do a change of variables, which produces the structure (8.8) in the conjugate operator. The only difference from the proof of Lemma 7.9 is that now we need to choose in the bi-Lipschitz map defined in (7.27) because we want in (7.33). We leave the details to the reader. ∎
9. The converse
In this section, we show that in Theorem 1.12, that is, we establish that under certain conditions on the domain and the operator , the Carleson condition (1.14) on the Green function implies that is uniformly rectifiable. More precisely, we prove the following.
Theorem 9.1.
Let be a 1-sided Chord-Arc Domain (bounded or unbounded) and let be an uniformly elliptic operator which satisfies the weak DKP condition with constant on . Let , and when is unbounded, can be . We write for the Green funtion of with pole at . Suppose that there exists and such that for all balls centered at the boundary and such that , we have
(9.2) |
Then is uniformly rectifiable.
In [DM2] Theorem 7.1, uniform rectifiability is obtained from some weak condition on the Green function, namely, being prevalently close to . Following [DM2], we say that is prevalently close to if for each choice of and , the set of pairs such that there exists a positive constant , with
is Carleson-prevalent.
Definition 9.3 (Carleson-prevalent).
We say that is a Carleson-prevalent set if there exists a constant such that for every and ,
One could say that our condition (9.2) is stronger than being prevalently close to , and so the theorem follows from [DM2]. But actually it is not so easy to link the two conditions directly. Nonetheless, we can use Chebyshev’s inequality to derive a weak condition from (9.2), which can be used as a replacement of being prevalently close to in the proof.
We will soon see that the condition on the operator in Theorem 9.1 can be relaxed. Again following [DM2], given an elliptic operator , we say that is locally sufficiently close to a constant coefficient elliptic operator if for every choice of and , is a Carleson prevalent set, where is the set of pairs such that there is a constant matrix such that
where
(9.4) |
We will actually prove Theorem 9.1 for elliptic operators that are sufficiently close locally to a constant coefficient elliptic operator.
The first step of deriving weak conditions from the strong conditions on the operator and is the observation that for any integrable function , if there is a constant such that
then for any ,
(9.5) |
for , . This follows immediately from Fubini’s theorem and the fact that defined in (9.4) is a Whitney region which is away from the boundary.
Lemma 9.6.
-
(1)
Let be a uniformly elliptic operator which satisfies the weak DKP condition with constant on . Then is locally sufficiently close to a constant coefficient elliptic operator.
-
(2)
If satisfies (9.2) for all centered at the boundary and such that , then for every choice of and , the set
(9.7) is Carleson-prevalent.
Proof.
Both results follow from the previous observation (9.5) and Chebyshev’s inequality. In fact, for (1), we have such that for any and ,
(9.8) |
By the Poincaré inequality, the left-hand side is bounded from below by
where we have used the fact that is a constant matrix and the definition of the set . Combining with (9.8), we have that
which proves (1).
Now we justify (2). Let , and be fixed, and let be a ball of radius centered at the boundary. Our goal is to show that
We discuss two cases. If , then since satisfies (9.2) for the ball , we have that
Notice that the assumption guarantees that for all and . Therefore, if , then
From this, it follows that
(9.9) |
Now let us deal with the case where . For , we define . Since covers , we can find a non-overlapping subcollection such that covers . We write for the radius of and we define
We have
Since , we can apply (9.9), and we have
because is a non-overlapping and included in . It remains to prove a similar bound on . Remark first that
and therefore
The lemma follows. ∎
Before we continue, we need to adapt Theorem 2.19 in [DM2] to our situation, that is we want to construct a positive solution in a domain which is the limit of a sequence of domain.
Lemma 9.10.
Let be a sequence of 1-sided Chord-Arc domains domains in with uniform 1-sided CAD constants. Let be its Ahlfors regular boundary equipped with a Ahlfors regular measure (such that the constant in (1.1) is uniform in ).
Assume that and . Moreover, assume that the and converges to and locally in the Hausdorff distance, that is, for any , we have
Here, for a couple of sets , we define the Hausdorff distance
Then , is an unbounded -Ahlfors regular set, is a 1-sided Chord-Arc Domain. Moreover, if the Radon measure is any weak-* limit of the , then is an Ahlfors regular measure on .
Let be a corkscrew point of for the boundary point at the scale 1. If and are operators - in and respectively - that satisfies
and if are positive solutions in to with on , then the sequence of functions converges, uniformly on every compact subset of , and in , to , the unique Green function with pole at infinity which verifies .
Proof.
The geometric properties of and can be derived verbatim as in the proof of Theorem 2.19 in [DM2]. The uniform convergence of a subsequence of on any compact set follows from the standard argument of uniform boundedness of on , and Hölder continuity of solutions. The Caccioppoli inequality would give the weak convergence of another subsequence of to some in . This is enough to show that is a weak solution of in , as we can write
for every and any sufficiently big so that . Therefore, is the Green function with pole at infinity for in and normalized so that .
That converges to (strongly) in needs more work, but we can directly copy the proof of Lemma 2.29 in [DM2]. Roughly speaking, for any fixed ball with , we would need to introduce an intermediate function , which satisfies in for some , and on the sphere . We refer the readers to [DS2] for the details. ∎
We shall need the following result on compactness of closed sets, which has been proved in [DS3].
Lemma 9.11 ([DS3] Lemma 8.2).
Let be a sequence of non-empty closed subsets of , and suppose that there exists an such that for all . Then there is a subsequence of that converges to a nonempty closed subset of locally in the Hausdorff distance.
Now we are ready to prove the main theorem of this section.
Proof of Theorem 9.1.
We prove that is uniformly rectifiable by showing that satisfies the corkscrew condition (see Lemma 2.13). Following the proof of Theorem 7.1 in [DM2], it suffices to show that the set is Carleson-prevalent for some , where is the set of pairs such that we can find , that lie in different connected components of , and such that for . To do that, we will rely on the fact that, on 1-sided CAD domains, if the elliptic measure is comparable to the surface measure, then the complement satisfies the corkscrew condition, which is implied by the main result of [HMMTZ].
Thanks to Lemma 9.6, for each choice of and , the sets and are Carleson-prevalent. So it suffices to show that
(9.12) |
We prove by contradiction. Assume that (9.12) is false, then for , we can find a 1-sided NTA domain bounded by an Ahlfors regular set , a point (or when is unbounded), an elliptic operator that is locally sufficiently close to a constant coefficient elliptic operator, and a pair for which
By translation and dilation invariance, we can assume that and . Notice that implies that , and in particular, , and tends to infinity as .
By Lemma 9.11, we can extract a subsequence so that converges to a limit . By Lemma 9.10, is 1-sided NTA, converges to which is Ahlfors regular. Moreover, by Lemma 9.11, we can extract a further subsequence so that the Ahlfors regular measure given on converges weakly to an Ahlfors regular measure . Since , converges to some constant matrix in .
Choose a corkscrew point for some ball centered on , and let be the Green function for in , normalized so that . Since in , Lemma 9.10 asserts that converges to the Green function with pole at infinity for the constant-coefficient operator , uniformly on compact sets of , and in . Since , converges to uniformly on compact sets of , and so does to . Since ,
(9.13) |
where is the Whitney region defined as in (9.4) for . Fix any compact set . We claim that
(9.14) |
In fact, since is a positive solution of in with , the Harnack inequality implies that on for some . Then the uniform convergence of to on implies that for large enough, is uniformly bounded on , and so converges uniformly to on . Then (9.14) follows from the fact that converges to in , the uniform convergence of to on , and the uniform convergences of and to and .
Now by (9.13) and (9.14), we get that
and so in . We can copy the proof of Theorem 7.1 of [DM2] verbatim from now on to conclude that this leads to a contradiction. Roughly speaking, would imply that the elliptic measure for , with a pole at , is comparable to . Then by [HMMTZ] Theorem 1.6 one can conclude that is uniformly rectifiable, and hence satisfies the corkscrew condition, which contradicts with the assumption that . ∎
10. Assuming that is semi-uniform is not sufficient.
In this subsection, we will give an example of domain where the harmonic measure on is -absolutely continuous with respect to the -dimensional Hausdorff measure, but where Theorem 1.12 fails. It is known that the harmonic measure is -absolute continuous with respect to the surface measure whenever the domain is semi-uniform and its boundary is -Ahlfors regular and uniformly rectifiable (see [Azz2, Theorem III]). The notion of semi-uniform domain is given by the next definition.
Definition 10.1 (Semi-uniform domains).
We say that is semi-uniform if it satisfies the corkscrew condition and (see Definition 2.8) if for every , there exists such that for any and every pair of points such that , there exists a Harnack chain of length bounded by linking to one of the corkscrew points for at scale .
Semi-uniform domains were first introduced by Aikawa and Hirata in [AiHi] using cigar curves. The two definitions of semi-uniform domains are known to be equivalent, see for instance, [Azz2] Theorem 2.3.
Our counterexample is constructed in for simplicity but can easily be extended to any dimension.

Our domain (see Figure 1) will be
Note that is uniformly rectifiable, but the domain contains two parts ( and ) which are not well connected to each other, that is, this domain does not satisfy the Harnack Chain Condition (see Definition 2.9). We let the reader check that the domain is still semi-uniform.
Due to the lack of Harnack chains, the space does not have a unique - up to constant - Green function with pole at . If we take the pole at , then we can construct a positive function which will be bounded on , and we shall prove that this is incompatible with our estimate (1.17) that says that is “close” to when is large enough.
10.1. Construction of
The goal now will be to construct a positive function in , which is morally the Green function with pole at . We could have used the usual approach, that is taking the limit when goes to infinity of - for instance - in the right sense, where is the Green function on for the Laplacian, and . However, the authors had difficulty proving the 2-periodicity in of the limit and didn’t know where to find the right properties in the literature (as our domains are unbounded). So we decided to make the construction from scratch.
We want to work with the Sobolev space
Here and in the sequel is the strip . Note that due to the 2-periodicity in and the symmetry, the function is defined on as soon as is defined on any of the sets . We will also need
We let the reader check that the quantity
is a norm on the space , and the couple is a Hilbert space.
The bilinear form
is continuous and coercive on , so for any , there exists such that
(10.2) |
The first key observation is:
Proposition 10.3.
is a positive weak solution to in .
Proof: The fact that is nonnegative is a classical result that relies on the fact that and the bilinear form is coercive. See for instance [DFM1], (10.18)–(10.20).
In order to prove that is a solution in , take . For , let be the only symmetric and 2-periodic function in such that on . Observe that is necessary continuous, and so lies in . Thus
by (10.2), since on for all .
Since is a solution, which is nonnegative and not identically equal to 0 (otherwise (10.2) would be false), the Harnack inequality (Lemma 2.15) entails that is positive. The proposition follows.
Let . From the above proposition, so we can define
(10.4) |
Proposition 10.5.
For each , the function is a positive weak solution to in . Moreover, we have the following properties:
-
(i)
for any compact set , there exists and such that for all and and is equicontinuous on ;
-
(ii)
there exists such that
-
(iii)
there exists such that
Proof: The fact that is a positive weak solution is given by Proposition 10.3. So it remains to prove (i), (ii) and (iii).
We start with (i). Since is a weak solution in when , and since is a Chord Arc Domain, we can invoke the classical elliptic theory and we can show that there exists such that
see for instance Lemma 15.14 in [DFM3]. By the 2-periodicity of , it means that
and then since we can link any point of a compact back to with a Harnack chain (the length of the chain depends on ), we have
whenever is a solution in the interior of , which is bound to happen if is large enough.
The functions are also Hölder continuous up to the boundary in the areas where they are solutions, so is equicontinuous on as long as is large enough so that .
Point (ii) is a consequence of the Caccioppoli inequality at the boundary. We only need to prove the bound when , since all the are already in by construction. We have by the Caccioppoli inequality at the boundary (see for instance Lemma 11.15 in [DFM3]) that
Point (iii) is one of our key arguments. We define as the subspace of that contained the functions with zero trace on .
Since , its restriction is of course in . Moreover, is a solution to in . We can invoke the uniqueness in Lax-Milgram theorem (see Lemma 12.2 in [DFM3], but adapted to our periodic function spaces and ) to get that is the only weak solution to in for which the trace on is . Moreover,
where is the space of traces on for the symmetric 2-periodic functions defined as
So in particular, we have by a classical argument that
We conclude that
by (ii). Point (iii) follows.
Proposition 10.6.
There exists a symmetric (in ), 2-periodic (in ), positive weak solution to in such that on and and
(10.7) |
Proof: We invoke the Arzelà-Ascoli theorem - whose conditions are satisfied thanks to Proposition 10.5 (i) - to extract a subsequence of that converges uniformly on any compact to a continuous function . The fact is non-negative, symmetric, 2-periodic, and satisfies is immediate from the fact that all the are already like this. The functions converges to in thanks to the Caccioppoli inequality, and then by using the weak convergence of to in , we can easily prove that is a solution to in (hence is positive by the Harnack inequality, since it was already non-negative). The convergence of to in also allow the uniform bound on given by Proposition 10.5 (iii) to be transmitted to , hence (10.7) holds. The proposition follows.
10.2. fails the estimate given in Theorem 1.12
Lemma 10.8.
is harmonic in , that is, it is a solution of in , and we have
Proof: Morally, we want to prove that if is a solution (to ), then , which is a fairly classical regularity result. The difficulty in our case is that the domain in consideration is unbounded.
Since is a harmonic function (solution of the Laplacian), the function is smooth. We can prove the bound
by adapting the proof of Proposition 7.3 in [DFM5] to our simpler context (and invoking (10.7) and to have the finiteness of the considered quantities). In order to have the derivative on the -derivative, it is then enough to observe
where we use the fact that is a solution to - i.e. - for the second line. The lemma follows.
We will also need a maximum principle, given by
Lemma 10.9.
If is a symmetric (in ), 2-periodic (in ) harmonic function in that satisfies
(10.10) |
then has a trace - denoted by - on and
Proof: The existence if the trace - in the space - is common knowledge. The proof of Lemma 12.8 in [DFM3] (for instance) can be easily adapted to prove our case.
Lemma 10.11.
There exists such that
Proof: Since and is a positive solution, the Harnack inequality implies that for . Since is symmetric and 2-periodic in , we have for . We conclude with the maximum principle (Lemma 10.9), since the bound (10.10) is given by (10.7).
Lemma 10.12.
For every , there exists such that
Proof: Let be fixed. Since is symmetric and 2-periodic in , we can assume without loss of generality that . Then recall that is a weak solution in , so in particular, we have the Moser estimate and the Caccioppoli inequality, which give
(10.13) |
by Lemma 10.11. Moreover, is Hölder continuous, that is,
(10.14) |
by (10.13).
We pick such that . Assume by contradiction that there exist and are such that , then
by our choice of . Since is a solution that satisfies (10.10) - see Lemma 10.8 - the maximum principle given by Lemma 10.9 entails that
which implies
which is in contradiction with (10.7). We conclude that for every and , we necessary have . The lemma follows.
Lemma 10.15.
For any , there exists a and such that
(10.16) |
Proof: The set is -Ahlfors regular, so (1.4) gives the equivalence for , and hence the existence of (depending on and ) such that
(10.17) |
Check then that
In particular, since whenever , we have, for , that
for some , by (10.17). In conclusion, using (10.17) again, we have the existence of such that
(10.18) |
Let be the constant in Lemma 10.11. Thanks to Lemma 10.12, there exists such that for any and , which means that
(10.19) |
Lemma 10.20.
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