This paper investigates how small perturbations of elliptic operators in certain irregular domains affect their elliptic measures, establishing conditions under which the measures remain mutually absolutely continuous.
Contribution
It extends previous results by weakening domain regularity assumptions and analyzing large Carleson measure discrepancies using extrapolation methods.
Findings
01
Elliptic measures are in A_infinity class under Carleson measure conditions.
02
Results apply to domains with capacity density condition, beyond Lipschitz or chord-arc domains.
03
Method utilizes extrapolation of Carleson measures and non-tangential estimates.
Abstract
Let Ω⊂Rn+1, n≥2, be a 1-sided non-tangentially accessible domain (aka uniform domain), i.e., a set which satisfies the interior Corkscrew and Harnack chain conditions, respectively scale-invariant/quantitative versions of openness and path-connectedness. Assume that Ω satisfies the so-called capacity density condition. Let L0u=−div(A0∇u), Lu=−div(A∇u) be two real (non-necessarily symmetric) uniformly elliptic operators, and write ωL0, ωL for the associated elliptic measures. The goal of this program is to find sufficient conditions guaranteeing that ωL satisfies an A∞-condition or a RHq-condition with respect to ωL0. We show that if the discrepancy of the two matrices satisfies a natural Carleson measure condition with respect to ωL0, then $\omega_L\in…
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Full text
Perturbation of elliptic operators in 1-sided NTA domains satisfying the capacity density condition
Let Ω⊂Rn+1, n≥2, be a 1-sided non-tangentially accessible domain (aka uniform domain), that is, Ω satisfies the interior Corkscrew and Harnack chain conditions, which are respectively scale-invariant/quantitative versions of openness and path-connectedness. Let us assume also that Ω satisfies the so-called capacity density condition, a quantitative version of the fact that all boundary points are Wiener regular. Consider L0u=−div(A0∇u), Lu=−div(A∇u), two real (non-necessarily symmetric) uniformly elliptic operators in Ω, and write ωL0, ωL for the respective associated elliptic measures. The goal of this program is to find sufficient conditions guaranteeing that ωL satisfies an A∞-condition or a RHq-condition with respect to ωL0. In this paper we establish that if the discrepancy of the two matrices satisfies a natural Carleson measure condition with respect to ωL0, then ωL∈A∞(ωL0). Additionally, we can prove that ωL∈RHq(ωL0) for some specific q∈(1,∞), by assuming that such Carleson condition holds with a sufficiently small constant. This “small constant” case extends previous work of Fefferman-Kenig-Pipher and Milakis-Pipher together with the last author of the present paper who considered symmetric operators in Lipschitz and bounded chord-arc domains, respectively. Here we go beyond those settings, our domains satisfy a capacity density condition which is much weaker than the existence of exterior Corkscrew balls. Moreover, their boundaries need not be Ahlfors regular and the restriction of the n-dimensional Hausdorff measure to the boundary could be even locally infinite. The “large constant” case, that is, the one on which we just assume that the discrepancy of the two matrices satisfies a Carleson measure condition, is new even in the case of nice domains (such as the unit ball, the upper-half space, or non-tangentially accessible domains) and in the case of symmetric operators. We emphasize that our results hold in the absence of a nice surface measure: all the analysis is done with the underlying measure ωL0, which behaves well in the scenarios we are considering. When particularized to the setting of Lipschitz, chord-arc, or 1-sided chord-arc domains, our methods allow us to immediately recover a number of existing perturbation results as well as extend some of them. Our arguments rely on the square function and non-tangential estimates proved in [2]. The “large constant” case is obtained using the method of extrapolation of Carleson measure. This is a bootstrapping scheme that allows us to reduce matters to the case on which the discrepancy between the coefficients is small in some sawtooth domains.
Key words and phrases:
Uniformly elliptic operators, elliptic measure, the Green function, 1-sided non-tangentially accessible domains, 1-sided chord-arc domains, capacity density condition, Ahlfors-regularity, A∞ Muckenhoupt weights, Reverse Hölder, Carleson measures, square function estimates, non-tangential maximal function estimates, dyadic analysis, sawtooth domains, perturbation
2010 Mathematics Subject Classification:
31B05, 35J08, 35J25, 42B37, 42B25, 42B99
The second author was partially supported by NSF grants DMS-1664047 and DMS-2000048.
The third author acknowledges financial support from the Spanish Ministry of Science and Innovation, through the “Severo Ochoa Programme for Centres of Excellence in R&D” (CEX2019-000904-S) and through the grant MTM PID2019-107914GB-I00. The third author also acknowledges that the research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007-2013)/ ERC agreement no. 615112 HAPDEGMT. The fourth author was partially supported by the Craig McKibben & Sarah Merner Professor in Mathematics, by NSF grant number DMS-1664867 and DMS-1954545, and by the Simons Foundation Fellowship 614610.
This material is based upon work supported by the National Science Foundation under Grant No. DMS-1440140 while the authors were in residence at the Mathematical Sciences Research Institute in Berkeley, California, during the Spring 2017 semester.
The purpose of this program is to study some perturbation problems for second order divergence form real elliptic operators with bounded measurable coefficients in domains with rough boundaries. Let Ω⊂Rn+1, n≥2, be an open set and let Lu=−div(A∇u) be a second order divergence form real elliptic operator
defined in Ω. Here the coefficient matrix A=(ai,j(⋅))i,j=1n+1 is real (not
necessarily symmetric) with ai,j∈L∞(Ω) and is uniformly elliptic, that is, there exists a constant Λ≥1 such that
[TABLE]
for all ξ,η∈Rn+1 and for almost every X∈Ω. Associated with L one can construct a family of positive Borel measures {ωLX}X∈Ω, defined on ∂Ω with ωX(∂Ω)≤1 for every X∈Ω, so that for each f∈Cc(∂Ω) one can define its associated weak-solution
[TABLE]
which satisfies Lu=0 in Ω in the weak sense. In principle, unless we assume some further condition, u needs not be continuous all the way to the boundary but still we think of u as the solution to the continuous Dirichlet problem with boundary data f. We call ωLX the elliptic measure of Ω associated with the operator L with pole at X∈Ω. For convenience, we will sometimes write ωL and call it simply the elliptic measure, dropping the dependence on the pole.
Given two such operators L0u=−div(A0∇u) and Lu=−div(A∇u), one may wonder whether one can find conditions on the matrices A0 and A so that some “good estimates” for the Dirichlet problem or for the elliptic measure for L0 might be transferred to the operator L. Similarly, one may
try to see whether A being “close” to A0 in some sense gives some relationship between ωL and ωL0. In this direction, a celebrated result of Littman, Stampacchia, and Weinberger in [36] states that the continuous Dirichlet problem for the Laplace operator L0=Δ, (i.e., A0 is the identity) is solvable
if and only if it is solvable for any real elliptic operator L. By solvability here we mean that the elliptic measure solutions as in (1.2) are indeed continuous in Ω. It is well known that solvability in this sense is in fact equivalent to the fact that all boundary points are regular in the sense of Wiener, a
condition which entails some capacitary thickness of the complement of Ω. Note that, for this result, one does not need to know that L is “close” to the Laplacian in any sense (other than the fact that both operators are uniformly elliptic).
On the other hand, if Ω=R+2 is the upper-half plane and L0=Δ,
then the harmonic measure associated with Δ
is mutually absolutely continuous with respect to the
surface measure on the boundary, and its Radon-Nykodym derivative
is the classical Poisson kernel.
However, Caffarelli, Fabes, and Kenig in [3] constructed a uniformly real elliptic operator L in the plane (the pullback of the Laplacian via a quasiconformal mapping of the upper half plane to itself) for which the associated elliptic measure ωL is not even absolutely continuous with respect to the surface measure (see also [41] for another example). Hence, in principle the “good behavior” of harmonic measure does not always transfer to any elliptic measure even in a nice domain such as the upper-half plane. Consequently, it is natural to see if those good properties can be transferred by assuming some conditions reflecting the fact that L is “close” to L0 or, in other words, imposing some conditions on the disagreement of A and A0.
In [2] we studied the square function and non-tangential maximal function estimates for solutions. Here we will consider the perturbation results. To put them in context let us recall the development of this field. With L0 and L as above, we define the disagreement of A and A0 as
[TABLE]
where δ(X)=dist(X,∂Ω) (thus, the supremum is taken over a Whitney ball). Define, for every x∈∂Ω and 0<r<diam(∂Ω),
[TABLE]
where σ=Hn∣∂Ω (i.e, the n-dimensional Hausdorff measure restricted to the boundary).
The study of perturbation of elliptic operators was initiated by Fabes, Jerison, and Kenig in [16] and later studied by Dahlberg [12] for symmetric operators. Dahlberg in the case of Ω=B(0,1) observed that if
[TABLE]
and if ωL0≪σ with dω0/dσ∈RHq(σ) (the classical reverse Hölder condition with respect to the surface measure) for some 1<q<∞,
then ωL≪σ and dωL/dσ∈RHq(σ).
The importance of these reverse Hölder conditions comes from the fact that dωL/dσ∈RHq(σ) is equivalent to the Lq′-solvability of the Dirichlet problem, that is, the
non-tangential maximal function for the solution u given in (1.2) is controlled by f in the Lq′(σ)-norm. Dahlberg’s approach was to define At=(1−t)A0+tA for 0≤t≤1, obtaining a differential inequality for the best constant in the reverse Hölder inequality for dωLt/dσ. Later, Fefferman in [17] made the first attempt to remove the smallness of the function h. Working again in the domain Ω=B(0,1) and with symmetric operators, he showed that an A∞(σ) condition is still inherited from the first measure (that is, ω0∈A∞(σ) implies ωL∈A∞(σ))
provided that A(ϱ(A,A0))∈L∞(∂B(0,1)) (and the bound needs not
be small). Here,
[TABLE]
and Γ(x) is the non-tangential cone with vertex at x∈∂Ω with angular aperture θ<π/2. Using Fubini’s theorem one can easily see the connection between h(x,r) and A(ϱ(A,A0))(x):
[TABLE]
It was also noted in [18] that finiteness of ∥A(ϱ(A,A0))∥L∞(∂B(0,1)) does not allow one to preserve the reverse Hölder exponent. Indeed it was shown that for a given 1<p<∞, there exist uniformly elliptic symmetric matrices A0 and A with the property that A(ϱ(A,A0))∈L∞(∂B(0,1)), ωL0∈RHp(σ) but ωL∈/RHp(σ). On the other hand, one of the main results in the pioneering perturbation article by Fefferman, Kenig, and Pipher [18] established that if the Carleson norm sup0<r<1,∣x∣=1h(x,r) is merely assumed to be finite (not necessarily going to zero as r→0) then ωL0∈A∞(σ) implies ωL∈A∞(σ) in the symmetric case. In the same article, it was shown that the assumption that the
previous Carleson norm sup0<r<1,∣x∣=1h(r,x) be finite,
is also necessary and cannot be weakened.
One of the ingredients in [18] was to see that if Ω is a Lipschitz domain and if
[TABLE]
for ε0 sufficiently small,
then ωL∈RH2(ωL0), where GL0(X)=GL0(X0,X) is the Green function for L0 in Ω with a pole at some fixed X0∈Ω. We further
remark that in [18] the authors also considered Lr-averages of the disagreement function ϱ(A,A0) as opposed to the supremum. Using that approach it was shown that there exists r (depending on ellipticity) such that for each q>1 there exists εq so that ωL∈RHq(ωL0) provided that Lr-average of the disagreement function ϱ(A,A0) satisfies (1.4) with εq.
Milakis, Pipher, and the fourth author of this article in [38] made the first attempt to study perturbation problems for symmetric operators beyond the Lipschitz setting. To describe their results we need more notions which will be described briefly here and made precise later. A domain is called non-tangentially accessible (NTA for short) if it satisfies quantitative interior and exterior openness
as well as quantitative (interior) path-connectedness
(see Definitions 2.1, 2.2, and 2.5 below).
A boundary of a domain is called Ahlfors regular if the surface measure of balls with center on the boundary and radius r behaves like rn (in ambient dimension n+1)
(see Definition 2.7).
Note that NTA domains with Ahlfors regular boundaries (called chord-arc domains) are not necessarily Lipschitz domains and in general they cannot be locally represented as graphs. The first result of Fefferman, Kenig, and Pipher discussed above was generalized in [38] to
the setting of
bounded chord-arc domains. That is, if Ω is a chord-arc domain and if (1.4) is satisfied for some ε0>0 small,
then ωL∈RH2(ωL0) (see also [40]). In addition,
[38] established that if
h(x,r) is small enough (uniformly in x∈∂Ω and 0<r<diam(∂Ω)) and wL0∈RHq(σ) for some 1<q<∞ then wL0∈RHq(σ).
Futhermore, assuming that h(x,r) is merely
bounded (uniformly in x∈∂Ω and 0<r<diam(∂Ω)),
if wL0∈RHq(σ) for some 1<q<∞, then
wL∈RHp(σ) for some 1<p<∞.
We also mention that Escauriaza in [14]
showed that if Ω is a Lipschitz domain, and if
h(x,r) converges to 0 uniformly in x∈∂Ω as r goes to 0, then log(dωL/dσ)∈\mboxVMO(σ) if log(dωL0/dσ)∈\mboxVMO(σ);
here VMO stands for the space of vanish mean oscillation introduced by Sarason.
This result was further generalized to bounded chord-arc domains in [39].
In [7], Cavero, and the second and the third authors of this article studied the “small”and “large” perturbation for symmetric operators when the domain is a 1-sided NTA domain with Ahlfors regular boundary (called 1-sided chord-arc domains). Here 1-sided NTA domains (aka uniform domains) satisfy only quantitative interior openness and path-connectedness. In [7], the perturbation results of [18, 38] were generalized to 1-sided chord-arc domains. Again, smallness of h(x,r) allowed the authors to preserve the exponent in the reverse Hölder condition, while finiteness yields only that the A∞ condition is transferred from one operator to the other. It is relevant to mention that the approach in [7], which is different from that of
[18, 38], uses the extrapolation of Carleson measure, originally introduced
by Lewis and Murray in [35] (but based on the Corona construction of [5, 6]) and later developed in [25, 28, 27], as well as good properties of sawtooth domains (following the sawtooth construction in [13]). The bottom line is that the large perturbation case can be reduced to the small perturbation in some sawtooth subdomains. We would like to note that the arguments of [18, 38, 7] are written explicitly only in the case of real symmetric coefficients, but we would expect that similar arguments could be carried over to the non-symmetric case as well. We also mention [8],
where the non-symmetric case is also considered by using a different method, as well as [37], where perturbation theory for certain degenerate elliptic operators is developed in the setting of domains with lower dimensional boundaries.
One common feature in the previous perturbation results is that the surface measures of the boundaries
of the domains
always have good properties, since in all cases the boundary is Ahlfors regular. For those results in
which one is perturbing RHq(σ) or A∞(σ), this is natural as one implicitly
needs to make sense of σ and to that extent the Ahlfors regularity is natural. However, if one carefully looks at (1.4) and the conclusion derived from it, that is, ωL∈RH2(ωL0), there is no appearance of the surface measure, and these conditions make sense whether or not the surface measure is a well-behaved object. Another natural question that arises from (1.4) is whether one can target some other reverse Hölder conditions by allowing ε0 to be larger, or ultimately to investigate what are the conclusions that can be obtained assuming that ε0 is just an arbitrary large finite constant.
The goal of this paper is to answer these questions. Our setting is that of 1-sided NTA domains satisfying the
so called capacity density condition (CDC for short), see Section 2 for the precise definitions. The latter is a quantitative version of the well-known Wiener criterion and it is weaker than the Ahlfors regularity of the boundary or the existence of exterior Corkscrews.
This setting guarantees among other things that any elliptic measure is doubling in some appropriate sense, hence one can see that a suitable portion of the boundary of the domain endowed with the Euclidean distance and with a given elliptic measure ωL0 is a space of homogeneous type. In particular, classes like A∞(ωL0) or RHp(ωL0) have the same good features of the corresponding ones in the Euclidean setting. However, our assumptions do not guarantee that the surface measure has any good behavior and could even be locally infinite.
In one of our main results, we
consider the case in which (1.4) holds either with small or large ε0.
The small constant case can be seen as an extension of [18, 38] to a setting in
which surface measure is not a good object.
The large constant case is new even in nice domains such as balls, upper-half spaces, Lipschitz domains or chord-arc domains.
To the best of our knowledge, our work is
the first to establish perturbation results on sets with bad
surface measures, and our large perturbation results are the first of their type.
Finally, we do not require the operators to be symmetric. Our main result is formulated as follows:
Theorem 1.5**.**
Let Ω⊂Rn+1, n≥2, be a 1-sided NTA domain (cf. Definition 2.5) satisfying the capacity density condition (cf. Definition 2.10).
Let Lu=−div(A∇u) and L0u=−div(A0∇u) be real (non-necessarily symmetric) elliptic operators. Define the disagreement between A and A0 in Ω by
[TABLE]
where δ(X):=dist(X,∂Ω), and
[TABLE]
where Δ=B∩∂Ω, Δ′=B′∩∂Ω, and the sups are taken respectively over all balls B=B(x,r) with x∈∂Ω and 0<r<diam(∂Ω),
and B′=B(x′,r′) with x′∈2Δ and 0<r′<rc0/4, and c0 is the Corkscrew constant.
(a)
If ∣∣∣ϱ(A,A0)∣∣∣<∞, then ωL∈A∞(∂Ω,ωL0) (cf. Definition 2.56). More precisely, there exists 1<q<∞ such that ωL∈RHq(∂Ω,ωL0) (cf.Definition 2.56). Here, q and [ωL]RHq(∂Ω,ω0) (cf. Definition 2.56) depend only on dimension, the 1-sided NTA and CDC constants, the ellipticity constants of L0 and L, and ∣∣∣ϱ(A,A0)∣∣∣.
(b)
Given 1<p<∞, there exists εp>0 (depending only on dimension, the 1-sided NTA and CDC constants, the ellipticity constants of L0 and L, and p) such that if one has ∣∣∣ϱ(A,A0)∣∣∣≤εp, then ωL∈RHp(∂Ω,ωL0) (cf. Definition 2.56). Here, [ωL]RHp(∂Ω,ω0) (cf. Definition 2.56) depends only on dimension, the 1-sided NTA and CDC constants, the ellipticity constants of L0 and L, and p.
Remark 1.8*.*
Let us make a few remarks regarding the expression in (1.6). First, the collection of B′ in the second sup is chosen so that XΔ∈/4B′, hence the Green function is not singular in the domain of integration. But even if the domain of integration contained XΔ this would not cause any problem, since the corresponding estimate near XΔ
[TABLE]
Second, at a first glance (1.6) seems different than (1.4), the condition imposed by Fefferman, Kenig, and Pipher in [18], which in the current case and if Ω is bounded (avoiding the pole as just mentioned) would read as
[TABLE]
where XΩ∈Ω is a “center” of Ω (say, XΩ is the Corkscrew point associated with the surface ball Δ(x0,diam(∂Ω)/2) for some fixed x0∈Ω) so that δ(XΩ)≈diam(∂Ω); Δ′=B′∩∂Ω and the sup is taken over all balls B′=B(x′,r′) with x′∈∂Ω and 0<r<diam(∂Ω)c0/4. We can easily see that ∣∣∣ϱ(A,A0)∣∣∣≈∣∣∣ϱ(A,A0)∣∣∣∗. First, using Lemma 2.63 below and possibly Harnack’s inequality, one can see that for B=B(x,r) and B′=B(x′,r′) as in (1.7) if X∈B′∩Ω then ωL0XΔ(Δ′)GL0(XΔ,X)≈ωL0XΩ(Δ′)GL0(XΩ,X). Thus, ∣∣∣ϱ(A,A0)∣∣∣≲∣∣∣ϱ(A,A0)∣∣∣∗. To obtain the converse inequality, let B′=B(x′,r′) with x′∈∂Ω and 0<r′<diam(∂Ω)c0/4. Pick max{21,4r′/(diam(∂Ω)c0)}<θ<1 and write r=θdiam(∂Ω) so that diam(∂Ω)/2<r<diam(∂Ω) and r′<rc0/4. Set B=B(x′,r) and note that the Harnack chain condition and Harnack’s inequality easily yield ωXΩ(Δ′)≈ωXΔ(Δ′), and also
GL0(XΩ,X)≈GL0(XΔ,X) for every X∈B′∩Ω, where Δ=B∩∂Ω and Δ′=B′∩∂Ω. All these give at once that ∣∣∣ϱ(A,A0)∣∣∣∗≲∣∣∣ϱ(A,A0)∣∣∣. Hence, ∣∣∣ϱ(A,A0)∣∣∣≈∣∣∣ϱ(A,A0)∣∣∣∗ when Ω is bounded.
In the unbounded case, one could use a similar argument working with a pole at infinity, which would require to normalize appropriately ωL0 and GL0; here we will simply work with the scale-invariant expression (1.7) to avoid that issue.
Finally, we also have a generalization of a result of [17, 18, 38]:
Theorem 1.10**.**
Let Ω⊂Rn+1, n≥2, be a 1-sided NTA domain (cf. Definition 2.5) satisfying the capacity density condition (cf. Definition 2.10), and let Lu=−div(A∇u) and L0u=−div(A0∇u) be real (non-necessarily symmetric) elliptic operators. Given α>0, set
[TABLE]
where Γα(x)={Y∈Ω:∣Y−x∣<(1+α)δ(Y)}.
(a)
If Aα(ϱ(A,A0))∈L∞(ωL0), then ωL∈A∞(∂Ω,ωL0) (cf. Definition 2.56). More precisely, there exists 1<q<∞ such that ωL∈RHq(∂Ω,ωL0) (cf. Definition 2.56). Here, q and [ωL]RHq(∂Ω,ω0) (cf. Definition 2.56) depend only on dimension, the 1-sided NTA and CDC constants, the ellipticity constants of L0 and L, α, and ∥Aα(ϱ(A,A0))∥L∞(ωL0).
(b)
Given p, 1<p<∞, there exists εp>0 (depending only on p, dimension, the 1-sided NTA and CDC constants, the ellipticity constants of L0 and L, and α) such that if
Aα(ϱ(A,A0))∈L∞(ωL0) with ∥Aα(ϱ(A,A0))∥L∞(ωL0)≤εp, then ωL∈RHp(∂Ω,ωL0) (cf. Definition 2.56). Here [ωL]RHp(∂Ω,ω0) (cf. Definition 2.56) depends only on dimension, the 1-sided NTA and CDC constants, the ellipticity constants of L0 and L, α, and p.
Remark 1.12*.*
Note that in the previous result we are not specifying the pole for the elliptic measure ωL0. However there is no ambiguity since, as a matter of fact, for any given X, Y∈Ω one has that ωL0X and ωL0Y are mutually absolutely continuous, thus L∞(∂Ω,ωL0X)=L∞(∂Ω,ωL0Y) with ∥⋅∥L∞(∂Ω,ωL0X)=∥⋅∥L∞(∂Ω,ωL0Y).
The plan of this paper is as follows. Section 2
contains some of the preliminaries, definitions, and tools which will be used throughout the paper. Section 3 is devoted to proving our main results. As a matter of fact Theorem 1.5 follows from a local version, interesting in
its own right, which is valid on bounded domains, see Proposition 3.1. The proof of Theorem 1.10 is also in Section 3. The proof of Proposition 3.1 is in Sections 3.2 and 3.3 which respectively handle the large and small constant cases. The proof of the large constant case is based on the extrapolation of Carleson measure technique mentioned above. Finally, in Section 4
we apply our main results to consider the case of 1-sided CAD (cf. Definition 2.9) —hence the domain is 1-sided NTA and satisfies the CDC condition— and show in Corollaries 4.2 and 4.5 that one can immediately recover some results from [7, 8] (see also [12, 17, 18, 38]) as well as give new extensions.
We would like to mention that after an initial version of this work was posted on arXiv [1], Feneuil and Poggi in [19] obtained results related to ours, compare for instance Theorem 1.5 part (a) with [19, Theorem 1.27], or Corollary 4.2 part (a) with [19, Corollary 1.32]. Also, the recent work [4] complements this paper and its companion [2], see for instance [4, Theorem 1.2, Corollary 1.6].
2. Preliminaries
2.1. Notation and conventions
∙
We use the letters c,C to denote harmless positive constants, not necessarily the same at each occurrence, which depend only on dimension and the
constants appearing in the hypotheses of the theorems (which we refer to as the “allowable parameters”). We shall also sometimes write a≲b and a≈b to mean, respectively, that a≤Cb and 0<c≤a/b≤C, where the constants c and C are as above, unless
explicitly noted to the contrary. Unless otherwise specified upper case constants are greater than 1 and lower case constants are smaller than 1. In some occasions it is important to keep track of the dependence on a given parameter γ, in that case we write a≲γb or a≈γb to emphasize that the implicit constants in the inequalities depend on γ.
∙
Our ambient space is Rn+1, n≥2.
∙
Given E⊂Rn+1 we write diam(E)=supx,y∈E∣x−y∣ to denote its diameter.
∙
Given a domain Ω⊂Rn+1, we shall
use lower case letters x,y,z, etc., to denote points on ∂Ω, and capital letters
X,Y,Z, etc., to denote generic points in Rn+1 (especially those in Rn+1∖∂Ω).
∙
The open (n+1)-dimensional Euclidean ball of radius r will be denoted
B(x,r) when the center x lies on ∂Ω, or B(X,r) when the center
X∈Rn+1∖∂Ω. A surface ball is denoted
Δ(x,r):=B(x,r)∩∂Ω, and unless otherwise specified it is implicitly assumed that x∈∂Ω.
∙
If ∂Ω is bounded, it is always understood (unless otherwise specified) that all surface balls have radii controlled by the diameter of ∂Ω, that is, if Δ=Δ(x,r) then r≲diam(∂Ω). Note that in this way Δ=∂Ω if diam(∂Ω)<r≲diam(∂Ω).
∙
For X∈Rn+1, we set δ(X):=dist(X,∂Ω).
∙
We let Hn denote the n-dimensional Hausdorff measure.
∙
For a Borel set A⊂Rn+1, we let 1A denote the usual
indicator function of A, i.e. 1A(X)=1 if X∈A, and 1A(X)=0 if X∈/A.
∙
We shall use the letter I (and sometimes J)
to denote a closed (n+1)-dimensional Euclidean cube with sides
parallel to the coordinate axes, and we let ℓ(I) denote the side length of I.
We use Q to denote dyadic “cubes”
on E or ∂Ω. The
latter exist as a consequence of Lemma 2.34 below.
2.2. Some definitions
Definition 2.1** **(Corkscrew condition).
Following [33], we say that a domain Ω⊂Rn+1
satisfies the Corkscrew condition if for some uniform constant 0<c0<1 and
for every x∈∂Ω and 0<r<diam(∂Ω), if we write Δ:=Δ(x,r), there is a ball
B(XΔ,c0r)⊂B(x,r)∩Ω. The point XΔ⊂Ω is called
a Corkscrew point relative toΔ (or, relative to B). We note that we may allow
r<Cdiam(∂Ω) for any fixed C, simply by adjusting the constant c0.
Definition 2.2** **(Harnack Chain condition).
Again following [33], we say
that Ω satisfies the Harnack Chain condition if there are uniform constants C1,C2>1 such that for every pair of points X,X′∈Ω
there is a chain of balls B1,B2,…,BN⊂Ω with N≤C1(2+log2+Π)
where
[TABLE]
such that X∈B1, X′∈BN, Bk∩Bk+1=\mbox\O and for every 1≤k≤N
[TABLE]
The chain of balls is called a Harnack Chain.
We note that in the context of the previous definition if Π≤1 we can trivially form the Harnack chain B1=B(X,3δ(X)/5) and B2=B(X′,3δ(X′)/5) where (2.4) holds with C2=3. Hence the Harnack chain condition is non-trivial only when Π>1.
Definition 2.5** **(1-sided NTA and NTA).
We say that a domain Ω is a 1-sided non-tangentially accessible domain (1-sided NTA) if it satisfies both the Corkscrew and Harnack Chain conditions.
Furthermore, we say that Ω is a non-tangentially accessible domain (NTA domain) if it is a 1-sided NTA domain and if, in addition, Ωext:=Rn+1∖Ω also satisfies the Corkscrew condition.
Remark 2.6*.*
In the literature, 1-sided NTA domains are also called uniform domains. We remark that the 1-sided NTA condition is a quantitative form of path connectedness.
Definition 2.7** **(Ahlfors regular).
We say that a closed set E⊂Rn+1 is n-dimensional Ahlfors regular (AR for short) if
there is some uniform constant C1>1 such that
[TABLE]
Definition 2.9** **(1-sided CAD and CAD).
A 1-sided chord-arc domain (1-sided CAD) is a 1-sided NTA domain with AR boundary.
A chord-arc domain (CAD) is an NTA domain with AR boundary.
We next recall the definition of the capacity of a set. Given an open set D⊂Rn+1 (where we recall that we always assume that n≥2) and a compact set K⊂D we define the capacity of K relative to D as
[TABLE]
Definition 2.10** (Capacity density condition).**
An open set Ω is said to satisfy the capacity density condition (CDC for short) if there exists a uniform constant c1>0 such that
[TABLE]
for all x∈∂Ω and 0<r<diam(∂Ω).
The CDC is also known as the uniform 2-fatness as studied by Lewis in [34]. Using [23, Example 2.12] one has that
[TABLE]
and hence the CDC is a quantitative version of the Wiener regularity, in particular every x∈∂Ω is Wiener regular. It is easy to see that the exterior Corkscrew condition implies CDC. Also, it was proved in [42, Section 3] and [24, Lemma 3.27] that a set with Ahlfors regular boundary satisfies the capacity density condition with constant c1 depending only on n and the Ahlfors regular constant.
Remark 2.13*.*
Given Ω, a 1-sided NTA domain satisfying the CDC, as shown in [2, Remark 2.56] if Δ=Δ(x,r) with x∈∂Ω and 0<r<diam(∂Ω) then diam(Δ)≈r.
2.3. Dyadic analysis
Throughout this section we will work with E⊂Rn+1 and a countable collection of Borel sets D={Q}Q∈D which is a dyadic grid on E, whose elements will be called “cubes”. This means that D=⋃k∈ZDk (with Dk=\mbox\O for each k∈Z) and the following properties hold:
∙
E=⋃Q∈DkQ for every k∈Z with the union comprising
pairwise disjoint sets.
∙
If Q∈Dk and Q′∈Dj with k≥j then either Q⊂Q′ or Q∩Q′=\mbox\O.
∙
If for every k>j and Q∈Dk there exists (a unique) Q′∈Dj such that Q⊂Q′.
See Section 2.4 below (and the references [9], and [31, 32])
for a discussion of the existence of such a dyadic system, as
well as its additional properties.
Note that by assumption, within the same generation (that is, within each Dk) the cubes are pairwise disjoint (hence, there are no repetitions). On the other hand, we allow repetitions in the different generations, that is, we could have that Q∈Dk and Q′∈Dk−1 agree. Then, although Q and Q′ are the same set, as cubes we consider that they are different. In short, it is then understood that D is an indexed collection of sets where repetitions of sets are allowed in the different generations but not within the same generation. With this in mind, we can give a proper definition of the “length” of a cube (this concept has no geometric meaning in this context). For every Q∈Dk, we set ℓ(Q)=2−k, which is called the “length” of Q. Note that the “length” is well defined when considered on D, but it is not well-defined on the family of sets induced by D. It is important to observe that the “length” refers to the way the cubes are organized in the dyadic grid and in general may not have a geometrical meaning (see the examples below).
Remark 2.14*.*
We would like to observe that in our notion of dyadic grid the generations run for all k∈Z. However, as we are about to see, sometimes it is natural to truncate the generations (from above or from below). For instance, it could be that E=Q0 for some Q0∈Dk0 and k0∈Z, hence Dk={Q0} for all k≤k0. In that scenario it is convenient to ignore those k∈Z with k<k0 and work with D=⋃k≥k0Dk. We will actually use this convention throughout this paper and, more specifically, when E is bounded we will be working with the generations k∈Z so that 2−k≲diam(E). In any case, the results and proofs in this section remain valid with or without the truncation of generations.
It is interesting to introduce some examples. In Rn we can consider the collection of classical dyadic cubes. Note that here there are no repetitions at all, E=Rn, and that if we let Dk be the collection of those dyadic cubes with side length 2−k, then the “length” is indeed the side length. Analogously, with E=Rn we can let D2k be the collection of those dyadic cubes with side length 2−k and D2k+1=D2k. Hence there are repetitions of cubes in D and “length” is comparable to the square root of the side length.
Another example is the collection of dyadic subcubes of the unit cube Q0=[0,1)n. To frame this in the previous definition (without truncating the generations), we let Dk be the collection of dyadic subcubes of Q0 if k≥0 and Dk={Q0} for k≤0. In this scenario E=Q0 and all the dyadic ancestors of Q0 are indeed Q0, hence there are repetitions in D. Observe that the “length” agrees with the side length in Dk for k≥0. On the other hand, for Qk∈Dk with k≤0 we have that ℓ(Qk)=2−k (note that Qk and Q0 are the same set but as dyadic cubes they are distinct). In this case, it may be convenient and more natural to truncate the generations and just work with Dk, k≥0, in which case the “length” agrees with the side length.
We can also consider all classical dyadic cubes with side length at least 1. In this scenario, let Dk be the set of classical dyadic cubes with side length 2−k for k≤0, and Dk the collection of classical dyadic cubes with side length 1 for k≥0. In this scenario, E=Rn and all the dyadic descendants of any cube Q with length side equal 1 are indeed Q, hence there are repetitions in D. Note that “length” agrees with the side length in Dk for k≤0, however in Dk for k≥0 the “length” is 2−k although the cubes comprising that family have side length 1. Again, in this example, it may be more natural to truncate the generations and work with Dk, k≤0, so that “length” and side length agree.
Our last example is that of dyadic subcubes of the unit cube Q0=[0,1)n with side length at least 2−N with N∈N fixed. We let Dk be the collection of dyadic subcubes of Q0 if 0≤k≤N, Dk={Q0} for k≤0, and Dk, k≥N, is the collection of all dyadic subcubes of Q0 of side length 2−N. In this case, E=Q0, all the dyadic ancestors of Q0 are indeed Q0,
and all the dyadic descendants of any cube Q with length side equal 2−N are indeed Q. We have infinitely many cubes but only a finite number of different sets. Here the reasonable thing is to truncate the generations and just work with Dk, 0≤k≤N.
We next introduce the “discretized Carleson region” relative to Q, DQ={Q′∈D:Q′⊂Q}. Let F={Qi}⊂D be a family of pairwise disjoint cubes. The “global discretized sawtooth” relative to F is the collection of cubes Q∈D that are not contained in any Qi∈F, and for a given Q∈D, the “local discretized sawtooth” relative to F is the collection of cubes in DQ in DF. These are respectively
[TABLE]
We also allow F to be the null set in which case D\mbox\O=D and D\mbox\O,Q=DQ.
With a slight abuse of notation, let Q0 be either E, and in that case DQ0:=D, or a fixed cube in D, hence DQ0 is the family of dyadic subcubes of Q0. Let μ be a non-negative Borel measure on Q0 so that 0<μ(Q)<∞ for every Q∈DQ0. Consider the operators AQ0, BQ0 defined by
[TABLE]
where α={αQ}Q∈DQ0 is a sequence of real numbers. Note that these operators are discrete analogues of those used in [11] to develop the theory of tent spaces. Sometimes, we use a truncated version of AQ0μ, which is denoted as AQ0μ,kα, k≥0, and where the sum runs over x∈Q∈DQk:={Q′∈DQ:ℓ(Q′)≤2−kℓ(Q)}.
The following lemma is a discrete version of [11, Theorem 1] and extends [7, Lemma 3.8]:
Lemma 2.16**.**
Under the previous considerations, given Q0 as above, and α={αQ}Q∈DQ0, β={βQ}Q∈DQ0 sequences of real numbers, we have that
[TABLE]
Proof.
The proof follows the argument in [7, Lemma 3.8] which in turn is based on [11, Theorem 1]. We first claim that it suffices to assume that Q0∈D. Indeed, if Q0=E we have
[TABLE]
where in the first estimate we have used our claim for Q, which has finite length, and in the second one the fact that the cubes in D−N are pairwise disjoint.
From now on we assume Q0∈D, hence ℓ(Q0)<∞. Recall D that is countable collection of cubes and then we can find D1⊂D2⊂⋯⊂DN⊂⋯⊂D with D=⋃N≥1DN and #DN≤N. Given N≥1, let βN={βQN}Q∈DQ0 where βQN=βQ if Q∈DN and βQN=0 otherwise. With this notation in mind, if we show (2.17) for βN then observing that BQ0μβN≤BQ0μβ we just need to let N→∞ and the desired estimate follows at once.
Thus from now on we work with βN. To simplify the presentation we drop the exponent and keep in mind that βQ=0 for every Q∈DN. For Q∈DQ0, let kQ≥0 be so that ℓ(Q)=2−kQℓ(Q0). Suppose that Q′∈DQ0 satisfies ℓ(Q′)≤2−kQℓ(Q0)=ℓ(Q) and Q′∩Q=\mbox\O, then necessarily Q′∈DQ and for every x∈Q
[TABLE]
Since βQ=0 for Q∈DN and #DN≤N, we have AQ0μβ(x)≤CN<∞ for every x∈Q0 and hence ξQ≤CN2<∞. Now, define
[TABLE]
In particular, using (2.18), we have AQ0μ,kQβ(x)>2ξQ21 for each x∈Q∩F0. We claim that 4μ(Q∩F0)≤μ(Q). Indeed, if ξQ=0 then one can see that AQ0μ,kQβ(y)=0 for every y∈Q and hence Q∩F0=\mbox\O, which trivially gives that 4μ(Q∩F0)≤μ(Q). On the other hand, if ξQ>0, we have
[TABLE]
and the desired estimate follows since 0<ξQ<∞. Let us now consider
[TABLE]
Setting F1,Q:={x∈Q∖F0:k(x)>kQ} and using (2.18) we obtain
[TABLE]
Applying Chebyshev’s inequality, it follows that
[TABLE]
Setting F2,Q:={x∈Q∖F0:k(x)≤kQ}, and gathering the above estimates, we have
[TABLE]
Hence, Cauchy-Schwarz’s inequality and (2.19) yield
[TABLE]
where we have used that Q∈DQ0k(x) for each x∈F2,Q. This completes the proof of (2.17).
∎
Lemma 2.20**.**
Under the previous considerations, given Q0 as above, let μ and ν be two non-negative Borel measures on Q0 so that 0<μ(Q),ν(Q)<∞ for every Q∈DQ0. Assume that
there exist α,β∈(0,1) such that
[TABLE]
Given γ={γQ}Q∈DQ0, a sequence of non-negative real numbers, if we set
[TABLE]
then,
[TABLE]
Let us observe that when μ is dyadically doubling (that is, there exists Cμ such that μ(Q)≤Cμμ(Q′) for every Q,Q′∈DQ0 with ℓ(Q)=2ℓ(Q′)), the assumption (2.21) means exactly ν∈A∞dyadic(Q0,μ) (see Definition 2.25 below).
Proof.
We first consider the case on which #{Q∈DQ0:γQ=0}<∞ so that
∣∣∣γ∣∣∣ν, ∣∣∣γ∣∣∣μ<∞ (albeit with constants depending on the set {Q:γQ=0}), condition which will be used qualitatively. We will eventually see how to pass to the general case.
Fix Q0∈DQ0. Let F={Qj}j be the collection of dyadic cubes contained in Q0
that are maximal with respect to the inclusion, and therefore pairwise disjoint, with respect to the property that
[TABLE]
Note that F⊂DQ0∖{Q0} since (1−α)−1>1. Also, the maximality of the cubes in F immediately gives
[TABLE]
Set E0=⋃Qj∈FQj
and note that if F is the null set then we understand that E0 is also empty. The definition of the family F gives
[TABLE]
Applying (2.21) to F=Q0∖E0 which satisfies μ(Q0∖E0)>αμ(Q0) we obtain ν(Q0∖E0)≥βν(Q0) and eventually ν(E0)≤(1−β)ν(Q0). Therefore,
We next take the supremum over all Q0∈DQ0 to conclude
[TABLE]
Recalling that in the current case ∣∣∣γ∣∣∣ν<∞ (and this is used qualitatively) the first term in the right hand side can be absorbed and we eventually obtain the second estimate in (2.22).
Let us now remove the assumption #{Q:γQ=0}<∞. Much as in the proof of Lemma 2.16 we can find D1⊂D2⊂⋯⊂DN⊂⋯⊂D with D=⋃N≥1DN and #DN≤N. Given N≥1, let γN={γQN}Q∈DQ0 where γQN=βQ if Q∈DN and γQN=0 otherwise. Note that
#{Q:γQN=0}≤N<∞ hence the previous estimate applies to γN. Thus, for every Q0∈DQ0
[TABLE]
Taking now the supremum over all Q0∈DQ0 we conclude the second estimate in (2.22).
Obtaining the first estimate in (2.22) is now easy. Set α=1−β and β=1−α, and note that for any F⊂Q∈DQ0, applying the contrapositive of (2.21) to Q∖F we obtain
[TABLE]
That is, in (2.21) holds with μ and ν swapped, and with α, and β. Hence, the second estimate in (2.22) with μ and ν swapped yields
[TABLE]
which is the first estimate in (2.22). This completes the proof.
∎
As above, Q0 is either E, and in which case DQ0:=D, or a fixed cube in D, hence DQ0 is the family of dyadic subcubes of Q0. For the rest of the section we will be working with μ which is dyadically doubling in Q0. This means that there exists Cμ such that
μ(Q)≤Cμμ(Q′) for every Q,Q′∈DQ0 with ℓ(Q)=2ℓ(Q′).
Definition 2.25** (A∞dyadic).**
Given Q0 and μ, a non-negative dyadically doubling measure in Q0, a non-negative Borel measure ν defined on Q0 is said to belong to A∞dyadic(Q0,μ) if there exist constants 0<α,β<1 such that for every Q∈DQ0 and for every Borel set F⊂Q, we have that
[TABLE]
It is well known (see [10, 20]) that since μ is a dyadically doubling measure in Q0, ν∈A∞dyadic(Q0,μ) if and only if ν≪μ in Q0 and there exists 1<p<∞ such that ν∈RHpdyadic(Q0,μ), that is, there is a constant C≥1 such that
[TABLE]
for every Q∈DQ0, and where k=dν/dμ is the Radon-Nikodym derivative.
For each F={Qi}⊂DQ0, a family of pairwise disjoint dyadic cubes, and each f∈Lloc1(μ), we define the projection operator
[TABLE]
If ν is a non-negative Borel measure on Q0, we may naturally then define the measure PFμν as PFμν(F)=∫EPFμ1Fdν, that is,
[TABLE]
for each Borel set F⊂Q0.
The next result follows easily by adapting the arguments in [28, Lemma B.1] and [26, Lemma 4.1] to the current scenario.
Lemma 2.28**.**
Given Q0, let μ be a non-negative dyadically doubling measure in Q0, and let ν be a non-negative Borel measure in Q0.
(a)
If ν is dyadically doubling on Q0 then PFμν is dyadically doubling on Q0.
(b)
If ν∈A∞dyadic(Q0,μ) then PFμν∈A∞dyadic(Q0,μ).
Let γ={γQ}Q∈DQ0 be a sequence of non-negative numbers. For any collection D′⊂DQ0, we define an associated “discrete measure”
[TABLE]
We say that mγ is a “discrete Carleson measure” (with respect to μ) in Q0, if
[TABLE]
For simplicity, when Q0=E we simply write ∥mγ∥C(μ).
Given F={Qi}⊂DQ0, a (possibly empty) family of pairwise disjoint dyadic cubes, we define mγ,F by
[TABLE]
Equivalently, mγ,F=mγF where γF={γF,Q}Q∈DQ0 is given by
[TABLE]
Note that if F=\mbox\O, then γF=γ and hence mγ,\mbox\O=mγ.
The following result was proved in [28, Lemma 8.5] under the additional assumption that ∂Ω is AR, however a careful inspection of the proof shows that the same argument can be carried out under the current assumption.
We note that [28, Lemma 8.5] was formulated and proved in the
case that Q0∈D, but clearly that implies the case Q0=E. We caution the reader to beware of the
distinction between sub- and super-script, Q0 vs. Q0, in the statement of the following lemma.
Given Q0, let μ, ν be a pair of non-negative dyadically doubling Borel measures on Q0, and let mγ be a discrete Carleson measure with respect to μ, with
[TABLE]
Suppose that there exists ε such that for every Q0∈DQ0 and every family of pairwise disjoint dyadic cubes F={Qi}⊂DQ0 verifying
[TABLE]
we have that PFμν satisfies the following property:
[TABLE]
Then, there exist η0∈(0,1) and 1<C0<∞ such that, for every Q0∈DQ0
[TABLE]
In other words, ν∈A∞dyadic(Q0,μ).
2.4. Existence of a dyadic grid
In this section we introduce a dyadic grid along the lines of that obtained in [9]. More precisely, we will use the dyadic structure from [31, 32], with a modification from [30, Proof of Proposition 2.12]:
Lemma 2.34** (Existence and properties of the “dyadic grid”).**
Let E⊂Rn+1 be a closed set. Then there exists a constant C≥1 depending just on n such that for each k∈Z there is a collection of Borel sets (called “cubes”)
[TABLE]
where Jk denotes some (possibly finite) index set depending on k satisfying:
(a)
E=⋃j∈JkQjk* for each k∈Z.*
(b)
If m≤k then either Qjk⊂Qim or Qim∩Qjk=\mbox\O.
(c)
For each k∈Z, j∈Jk, and m<k, there is a unique i∈Jm such that Qjk⊂Qim.
(d)
For each k∈Z, j∈Jk there is xjk∈E such that
[TABLE]
Moreover, assume that there is a Borel measure μ which is doubling, that is, there exists Cμ≥1 such that μ(Δ(x,2r))≤Cμμ(Δ(x,r)) for every x∈E and r>0. Then μ(∂Q)=0 for every Q∈Dk, k∈Z. Furthermore, there exist 0<τ0<1, C1, and η>0 depending only on dimension and Cμ such that for every τ∈(0,τ0) and Q∈Dk, k∈Z,
[TABLE]
In what follows given B=B(x,r) with x∈E we will denote Δ=Δ(x,r)=B∩E. A few remarks are in order concerning this lemma. We first observe that if E is bounded and k∈Z is such that diam(E)<C−12−k, then there cannot be two distinct cubes in Dk. Thus, Dk={Qk} with Qk=E. Therefore, as explained in Remark 2.14 we are going to ignore those k∈Z such that 2−k≳diam(E). Hence, we shall denote by D(E) the collection of all relevant Qjk, i.e., D(E):=⋃kDk, where, if diam(E) is finite, the union runs over those k∈Z such that 2−k≲diam(E). For a dyadic cube Q∈Dk, as explained above we shall set ℓ(Q)=2−k, and we shall refer to this quantity as the “length” of Q. It is clear from (d) that diam(Q)≲ℓ(Q) (we will see below that in our setting the converse hold, see Remark 2.13). We write Ξ=2C2, with C being the constant in Lemma 2.34, which is a purely dimensional. For Q∈D(E) we will set k(Q)=k if Q∈Dk. Property (d) implies that for each cube Q∈D, there exist xQ∈E and rQ, with Ξ−1ℓ(Q)≤rQ≤ℓ(Q) (indeed rQ=(2C)−1ℓ(Q)), such that
[TABLE]
We shall denote these balls and surface balls by
[TABLE]
[TABLE]
and we shall refer to the point xQ as the “center” of Q.
Let Q∈Dk and consider the family of its dyadic children {Q′∈Dk+1:Q′⊂Q}. Note that for any two distinct children Q′,Q′′, one has ∣xQ′−xQ′′∣≥rQ′=rQ′′=rQ/2, otherwise xQ′′∈Q′′∩ΔQ′⊂Q′′∩Q′, contradicting the fact that Q′ and Q′′ are disjoint. Also xQ′,xQ′′∈Q⊂Δ(xQ,rQ), hence by the geometric doubling property we have a purely dimensional bound for the number of such xQ′ and hence the number of dyadic children of a given dyadic cube is uniformly bounded.
2.5. Sawtooth domains
In the sequel, Ω⊂Rn+1, n≥2, will be a 1-sided NTA domain satisfying the CDC. Write D=D(∂Ω) for the dyadic grid obtained from Lemma 2.34 with E=∂Ω. By Remark 2.13 and under the present assumptions one has that diam(Δ)≈rΔ for every surface ball Δ. In particular diam(Q)≈ℓ(Q) for every Q∈D in view of (2.36). Given Q∈D we define the “Corkscrew point relative to Q” as XQ:=XΔQ. We note that
[TABLE]
Much as we did in Section 2.3 of, given Q∈D and F a possibly empty family of pairwise disjoint dyadic cubes, we can define DQ, the “discretized Carleson region”; DF, the “global discretized sawtooth” relative to F; and DF,Q, the “local discretized sawtooth” relative to F. Note that if F to be the null set in which case D\mbox\O=D and D\mbox\O,Q=DQ.
We also introduce the “geometric” Carleson regions and sawtooths. Given Q∈D we want to define some associated regions which inherit the good properties of Ω. Let W=W(Ω) denote a collection of (closed) dyadic Whitney cubes of Ω⊂Rn+1, so that the cubes in W
form a covering of Ω with non-overlapping interiors, and satisfy
[TABLE]
and
[TABLE]
Let X(I) denote the center of I, let ℓ(I) denote the side length of I, and write k=kI if ℓ(I)=2−k.
Given 0<λ<1 and I∈W we write I∗=(1+λ)I for the “fattening” of I. By taking λ small enough, we can arrange matters, so that, first, dist(I∗,J∗)≈dist(I,J) for every I,J∈W. Secondly, I∗ meets J∗ if and only if ∂I meets ∂J (the fattening thus ensures overlap of I∗ and J∗ for any pair I,J∈W whose boundaries touch, so that the Harnack Chain property then holds locally in I∗∪J∗, with constants depending upon λ). By picking λ sufficiently small, say 0<λ<λ0, we may also suppose that there is τ∈(21,1) such that for distinct I,J∈W, we have that τJ∩I∗=\mbox\O. In what follows we will need to work with dilations I∗∗=(1+2λ)I or I∗∗∗=(1+4λ)I, and in order to ensure that the same properties hold we further assume that 0<λ<λ0/4.
For every Q∈D we can construct a family WQ∗⊂W(Ω), and define
[TABLE]
satisfying the following properties: XQ∈UQ and there are uniform constants k∗ and K0 such that
[TABLE]
Here, X(I)→UQXQ means that the interior of UQ contains all balls in a Harnack Chain (in Ω) connecting X(I) to XQ, and moreover, for any point Z contained in any ball in the Harnack Chain, we have dist(Z,∂Ω)≈dist(Z,Ω∖UQ) with uniform control of the implicit constants. The constants k∗,K0 and the implicit constants in the condition X(I)→UQXQ, depend on the allowable parameters and on λ. Moreover, given I∈W(Ω) we have that I∈WQI∗, where QI∈D satisfies ℓ(QI)=ℓ(I), and contains any fixed y∈∂Ω such that dist(I,∂Ω)=dist(I,y). The reader is referred to [28, 29] for full details.
For a given Q∈D, the “Carleson box” relative to Q is defined by
[TABLE]
For a given family F={Qi}⊂D of pairwise disjoint cubes and a given Q∈D, we define the “local sawtooth region” relative to F by
[TABLE]
where WF,Q:=⋃Q′∈DF,QWQ∗. Note that in the previous definition we may allow F to be empty in which case clearly Ω\mbox\O,Q=TQ. Similarly, the “global sawtooth region” relative to F is defined as
[TABLE]
where WF:=⋃Q′∈DFWQ∗. If F is the empty set clearly Ω\mbox\O=Ω.
For a given Q∈D and x∈∂Ω let us introduce the “truncated dyadic cone”
[TABLE]
where it is understood that ΓQ(x)=\mbox\O if x∈/Q.
Analogously, we can slightly fatten the Whitney boxes and use I∗∗ to define new fattened Whitney regions and sawtooth domains. More precisely, for every Q∈D,
[TABLE]
where UQ∗:=⋃I∈WQ∗I∗∗.
Similarly, we can define TQ∗∗, ΩF,Q∗∗, ΓQ∗∗(x), and UQ∗∗ by using I∗∗∗ in place of I∗∗.
Given Q we next define the “localized dyadic non-tangential maximal function”
[TABLE]
for every u∈C(TQ∗), where it is understood that NQu(x)=0 for every x∈∂Ω∖Q (since ΓQ∗(x)=\mbox\O in such a case).
Finally, let us introduce the “localized dyadic conical square function”
[TABLE]
for every u∈Wloc1,2(TQ0). Note that again SQu(x)=0 for every x∈∂Ω∖Q.
To define the “Carleson box” TΔ associated with a surface ball Δ=Δ(x,r), let k(Δ) denote the unique k∈Z such that 2−k−1<200r≤2−k, and set
[TABLE]
We then define
[TABLE]
We can also consider fattened versions of TΔ given by
[TABLE]
Following [28, 29], one can easily see that there exist constants 0<κ1<1 and κ0≥16Ξ (with Ξ the constant in (2.36)), depending only on the allowable parameters, so that
[TABLE]
and also
[TABLE]
where BQ is defined as in (2.37), Δ=Δ(x,r) with x∈∂Ω, 0<r<diam(∂Ω), and BΔ=B(x,r) is so that Δ=BΔ∩∂Ω. From our choice of the parameters one also has that BQ∗⊂BQ′∗ whenever Q⊂Q′.
In the remainder of this section we show that if Ω is a 1-sided NTA domain satisfying the CDC then Carleson boxes and local and global sawtooth domains are also 1-sided NTA domains satisfying the CDC. We next present some of the properties of the capacity which will be used in our proofs. From the definition of capacity one can easily see that given a ball B and compact sets F1⊂F2⊂B then
[TABLE]
Also, given two balls B1⊂B2 and a compact set F⊂B1 then
[TABLE]
On the other hand, [23, Lemma 2.16] gives that if F is a compact with F⊂B then there is a dimensional constant Cn such that
[TABLE]
Lemma 2.53**.**
Let Ω⊂Rn+1, n≥2, be a 1-sided NTA domain satisfying the CDC. Then all of its Carleson boxes TQ and TΔ, and sawtooth regions ΩF, and ΩF,Q are 1-sided NTA domains and satisfy the CDC with uniform implicit constants depending only on dimension and on the corresponding
constants for Ω.
2.6. Uniformly elliptic operators, elliptic measure, and the Green function
Next, we recall several facts concerning elliptic measure and the Green functions. To set the stage let Ω⊂Rn+1 be an open set. Throughout we consider
elliptic operators L of the form Lu=−div(A∇u) with A(X)=(ai,j(X))i,j=1n+1 being a real (non-necessarily symmetric) matrix such that ai,j∈L∞(Ω) and there exists Λ≥1 such that the following uniform ellipticity condition holds
[TABLE]
for all ξ,η∈Rn+1 and for almost every X∈Ω. We write L⊤ to denote the transpose of L, or, in other words, L⊤u=−div(A⊤∇u) with A⊤ being the transpose matrix of A.
We say that u is a weak solution to Lu=0 in Ω provided that u∈Wloc1,2(Ω) satisfies
[TABLE]
Associated with L one can construct an elliptic measure {ωLX}X∈Ω and a Green function GL (see [29] for full details). Sometimes, in order to emphasize the dependence on Ω, we will write ωL,Ω and GL,Ω. If Ω satisfies the CDC then it follows that all boundary points are Wiener regular and hence for a given f∈Cc(∂Ω) we can define
[TABLE]
so that u∈Wloc1,2(Ω)∩C(Ω) satisfying u=f on ∂Ω and Lu=0 in the weak sense. Moreover, if f∈Lip(Ω) then u∈W1,2(Ω).
We first define the reverse Hölder class and the A∞ classes with respect to fixed elliptic measure in Ω. One reason we take this approach is that we do not know whether Hn∣∂Ω is well-defined since we do not assume any Ahlfors regularity in Theorem 1.5. Hence we have to develop these notions in terms of elliptic measures. To this end, let Ω satisfy the CDC and let L0 and L be two real (non-necessarily symmetric) elliptic operators associated with L0u=−div(A0∇u) and Lu=−div(A∇u) where A and A0 satisfy (2.54). Let ω0X and ωLX be the elliptic measures of Ω associated with the operators L0 and L respectively with pole at X∈Ω. Note that if we further assume that Ω is connected then ωLX≪ωLY on ∂Ω for every X,Y∈Ω. Hence if ωLX0≪ωL0Y0 on ∂Ω for some X0,Y0∈Ω then ωLX≪ωL0Y on ∂Ω for every X,Y∈Ω and thus we can simply write ωL≪ωL0 on ∂Ω. In the latter case we will use the notation
[TABLE]
to denote the Radon-Nikodym derivative of ωLX with respect to ωL0X,
which is a well-defined function ωL0X-almost everywhere on ∂Ω.
Definition 2.56** (Reverse Hölder and A∞ classes).**
Fix Δ0=B0∩∂Ω where B0=B(x0,r0) with x0∈∂Ω and 0<r0<diam(∂Ω). Given p, 1<p<∞, we say that ωL∈RHp(Δ0,ωL0), provided that ωL≪ωL0 on Δ0, and there exists C≥1 such that
[TABLE]
for every Δ=B∩∂Ω where B⊂B(x0,r0), B=B(x,r) with x∈∂Ω, 0<r<diam(∂Ω). The infimum of the constants C as above is denoted by [ωL]RHp(Δ0,ωL0).
Similarly, we say that ωL∈RHp(∂Ω,ωL0) provided that for every Δ0=Δ(x0,r0) with x0∈∂Ω and 0<r0<diam(∂Ω) one has ωL∈RHp(Δ0,ωL0) uniformly on Δ0, that is,
[TABLE]
Finally,
[TABLE]
The following lemmas state some properties for the Green functions and elliptic measures, proofs may be found in [29].
Lemma 2.57**.**
Suppose that Ω⊂Rn+1, n≥2, is an open set satisfying the CDC. Given a real (non-necessarily symmetric) elliptic operator L=−div(A∇), there exist C>1 (depending only on dimension and on the ellipticity constant of L) such that GL, the Green function associated with L, satisfies
[TABLE]
Remark 2.62*.*
If we also assume that Ω is bounded, following [29] we know that the Green function GL coincides with the one constructed in [22]. Consequently, GL(⋅,Y)∈W1,2(Ω∖B(Y,r))∩W01,1(Ω)
Moreover, for every φ∈Cc∞(Ω) such that 0≤φ≤1 and φ≡1 in B(Y,r) with 0<r<δ(Y), we have that (1−φ)GL(⋅,Y)∈W01,2(Ω).
The following result lists some properties which will be used throughout the paper:
Lemma 2.63**.**
Suppose that Ω⊂Rn+1, n≥2, is a 1-sided NTA domain satisfying the CDC. Let L0=−div(A0∇) and L=−div(A∇) be two real (non-necessarily symmetric) elliptic operators, there exist C1≥1, ρ∈(0,1) (depending only on dimension, the 1-sided NTA constants, the CDC constant, and the ellipticity of L) and C2≥1 (depending on the same parameters and on the ellipticity of L0), such that for every B0=B(x0,r0) with x0∈∂Ω, 0<r0<diam(∂Ω), and Δ0=B0∩∂Ω we have the following properties:
(a)
ωLY(Δ0)≥C1−1* for every Y∈C1−1B0∩Ω and ωLXΔ0(Δ0)≥C1−1.*
(b)
If B=B(x,r) with x∈∂Ω and Δ=B∩∂Ω is such that 2B⊂B0, then for all X∈Ω∖B0 we have that C1−1ωLX(Δ)≤rn−1GL(X,XΔ)≤C1ωLX(Δ).
(c)
If X∈Ω∖4B0, then ωLX(2Δ0)≤C1ωLX(Δ0).
(d)
For every X∈Ω∖2κ0B0 with κ0 as in (2.48), we have that
[TABLE]
(e)
If B=B(x,r) with x∈Δ0, 0<r<r0/4 and Δ=B∩∂Ω, then
[TABLE]
(f)
If L≡L0 in B(x0,2κ0r0)∩Ω with κ0 as in (2.48), then
[TABLE]
Remark 2.64*.*
We note that from (d) in the previous result, Harnack’s inequality, and (2.36) one can easily see that
[TABLE]
Observe that since ωLXQ′′≪ωLXQ′ an analogous inequality for the reciprocal of the Radon-Nikodym derivative follows immediately.
We close this section by stating a dyadic versions of the main lemma in [13]. To set the stage we first quote some auxiliary result:
Let Ω⊂Rn+1, n≥2, be a 1-sided NTA domain satisfying the CDC. Fix Q0∈D and let F={Qk}k⊂DQ0 be a family of pairwise disjoint dyadic cubes. There exists YQ0∈Ω∩ΩF,Q0∩ΩF,Q0∗ so that
[TABLE]
where the implicit constants depend only on dimension, the 1-sided NTA constants, the CDC constant, and is independent of Q0 and F.
Additionally, for each Qj∈F, there is an n-dimensional cube Pj⊂∂ΩF,Q0, which is contained in a face of I∗ for some I∈W, and which satisfies
[TABLE]
and ∑j1Pj≲1, where the implicit constants depend on allowable parameters.
We are now ready to state the a version of [28, Lemma 6.15] (see also [13]) valid in our setting:
Lemma 2.69** (Discrete sawtooth lemma for projections, [2, Lemma 3.5]).**
Suppose that Ω⊂Rn+1, n≥2, is a bounded 1-sided NTA domain satisfying the CDC. Let Q0∈D, let F={Qi}⊂DQ0 be a family of pairwise disjoint dyadic cubes, and let μ be a dyadically doubling measure in Q0. Given two real (non-necessarily symmetric) elliptic L0, L, we write ω0YQ0=ωL0,ΩYQ0, ωLYQ0=ωL,ΩYQ0 for the elliptic measures associated with L0 and L for the domain Ω with fixed pole at YQ0∈ΩF,Q0∩Ω (cf. Proposition 2.66). Let ωL,∗YQ0=ωL,ΩF,Q0YQ0 be the elliptic measure associated with L for the domain ΩF,Q0 with fixed pole at YQ0∈ΩF,Q0∩Ω. Consider νLYQ0 the measure defined by
[TABLE]
where Pi is the cube produced in Proposition 2.66. Then PFμνLYQ0 (see (2.27)) depends only on ω0YQ0 and ωL,∗YQ0, but not on ωLYQ0. More precisely,
[TABLE]
Moreover, there exists θ>0 such that for all Q∈DQ0 and all F⊂Q, we have
[TABLE]
3. Proofs of the main results
In order to prove Theorem 1.5 we are going to obtain a local version valid for bounded domains, interesting on its own right, which in turn will imply the desired results.
Proposition 3.1**.**
Let Ω⊂Rn+1, n≥2, be a bounded 1-sided NTA domain satisfying the CDC.
Let Lu=−div(A∇u) and L0u=−div(A0∇u) be two real (non-necessarily symmetric) elliptic operators. Fix x0∈∂Ω and 0<r0<diam(∂Ω) and let B0=B(x0,r0), Δ0=B0∩∂Ω. Set
[TABLE]
where ϱ(A,A0) was defined in (1.6), Δ=B∩∂Ω, and the sup is taken over all balls B=B(x,r) with x∈2Δ0 and 0<r<r0c0/4(c0 is the Corkscrew constant).
(a)
If ∣∣∣ϱ(A,A0)∣∣∣B0<∞, then ωL∈A∞(Δ0,ωL0), that is, there exists 1<q<∞ such that ωL∈RHq(Δ0,ωL0). Here, q and the implicit constant depend only on dimension, the 1-sided NTA and CDC constants, the ellipticity constants of L0 and L, and ∣∣∣ϱ(A,A0)∣∣∣B0.
(b)
Given 1<p<∞, there exists εp>0 (depending only on p, dimension, the 1-sided NTA and CDC constants and the ellipticity constants of L0 and L) such that if one has ∣∣∣ϱ(A,A0)∣∣∣B0≤εp, then ωL∈RHp(Δ0,ωL0), with the implicit constant depending only on p, dimension, the 1-sided NTA and CDC constants, and the ellipticity constant of L0 and L.
Assuming this result momentarily we can prove Theorem 1.5:
For every ball B0=B(x0,r0) with x0∈∂Ω and 0<r0<diam(∂Ω), we clearly have ∣∣∣ϱ(A,A0)∣∣∣B0≤∣∣∣ϱ(A,A0)∣∣∣<∞. We can then invoke Proposition 3.1 part (a) to find q, 1<q<∞, such that ωL∈RHq(Δ0,ωL0). Moreover, since supB0∣∣∣ϱ(A,A0)∣∣∣B0≤∣∣∣ϱ(A,A0)∣∣∣ then the same q is valid for every B0 and also
supΔ0[ωL]RHq(Δ0,ωL0)<∞. This means that
ωL∈RHq(∂Ω,ωL0) and hence ωL∈A∞(∂Ω,ωL0).
Case 2:Ωunbounded.
Fix B0=B(x0,r0) with x0∈∂Ω and 0<r0<diam(∂Ω). From Lemma 2.53, we know that every TΔ is a 1-sided NTA domain satisfying the CDC and moreover all the implicit constants depend on the corresponding ones for Ω. Write c0⋆ for the associated Corkscrew constant (which is independent of Δ), set K=max{1,c0⋆/c0} and fix M>16K≥16. We have two sub-cases:
Case 2a:0<r0<diam(∂Ω)/(2M).
Set B0=MB0, so that rB0<diam(∂Ω)/2, and let Δ0=B0∩∂Ω. Define Ω⋆=TΔ0⊂Ω, and our goal is to apply Proposition 3.1 in this bounded domain. From Lemma 2.53, it follows that Ω⋆ is a 1-sided NTA domain satisfying the CDC and moreover all the implicit constants depend on the corresponding ones for Ω but are uniform on M. In particular, the interior Corkscrew condition holds with c0⋆ (which does not depend on M).
Write B0=B(x0,r0)=B(x0,Kr0) so that 8B0⊂8B0⊂B0, and set Δ0=B0∩∂Ω, Δ0⋆=B0∩∂Ω⋆, and Δ0⋆:=B0∩∂Ω⋆. Note that by (2.48) we have 8B0∩Ω⊂B0∩Ω⊂TΔ0=Ω⋆ and hence 8Δ0=8Δ0⋆.
Moreover, one can also see that for every X∈4B0∩Ω=4B0∩Ω⋆ then δ(X)=dist(X,∂Ω⋆)=:δ⋆(X). Consequently, if XΔ0⋆ denotes the Corkscrew point relative to Δ0⋆ for the domain Ω⋆ and XΔ0 denotes the Corkscrew point relative to Δ0 for the domain Ω we have
[TABLE]
and ∣XΔ0⋆−XΔ0∣≤(1+K)r0.
Fix x∈2Δ0, 0<r<r0c0⋆/4, write B=B(x,r), Δ=B∩∂Ω, Δ⋆=B∩∂Ω⋆, and note that from the above observations Δ=Δ⋆.
Invoking Lemma 2.63 part (e), the Harnack chain condition for Ω⋆ allows us to obtain
[TABLE]
On the other hand if Y∈B∩Ω⋆=B∩Ω and we pick y∈∂Ω so that ∣Y−y∣=δ(Y)=δ⋆(Y)<r0.
Write BY=B(y,2δ(Y)) which satisfies BY⊂5B0 and hence ΔY:=BY∩∂Ω=BY∩∂Ω⋆=:ΔY⋆. Then
if XΔY (respectively XΔY⋆) stands for the Corkscrew point relative to ΔY (respectively ΔY⋆) with respect to Ω (respectively Ω⋆) we observe that
[TABLE]
where we have used the Harnack chain condition in both Ω and Ω⋆, Harnack’s inequality, and Lemma 2.63 parts (b) and (e). Finally,
[TABLE]
since Y∈B∩Ω⊂4B0∩Ω=4B0∩Ω⋆ and hence δ(Y)=δ⋆(Y).
At this point we collect the previous estimates to obtain that
[TABLE]
where all the implicit constants are independent of M and uniform in B0. We can then invoke Proposition 3.1 part (a) (since Ω⋆ is bounded) to find q, 1<q<∞, such that ωL,Ω⋆∈RHq(Δ0,ωL0,Ω⋆). On the other hand, by Lemma 2.63 part (e) we have that ωL,Ω⋆ and ωL,Ω are comparable in Δ0 and so are ωL0,Ω⋆ and ωL0,Ω. Thus eventually, ωL,Ω∈RHq(Δ0,ωL0,Ω).
Moreover, the previous estimate is independent of B0 and the same q is valid for every B0 as in the present case.
Case 2b:diam(∂Ω)/(2M)<r0<diam(∂Ω).
Note first that this case is vacuous if ∂Ω is unbounded. Hence we may assume that ∂Ω is bounded. We first find a finite maximal collection of points {xj}j=1J∈Δ0 with 1≤J≤(1+20M)n+1 such that ∣xj−xk∣≥diam(∂Ω)/(10M) for 1≤j<k≤J. For any of the balls Bj=B(xj,diam(∂Ω)/(10M)) by Case 2a we have that ωL∈RHq(3Δj,ωL0) where the implicit constants do not depend on j, and we have written ωL0=ωL0,Ω and ωL=ωL,Ω.
To show that ωL∈RHq(Δ0,ωL0), let B=B(x,r)⊂B0 with x∈∂Ω and Δ=B∩∂Ω. If Δ∩Δj=\mbox\O and 0<r<diam(∂Ω)/(10M) we note that Δ∩Δj⊂Δ⊂3Δj and thus
[TABLE]
where we have used Harnack’s inequality and that ωL∈RHq(3Δj,ωL0).
On the other hand, if Δ∩Δj=\mbox\O and diam(∂Ω)/(10M)<r<r0 we have that r≈r0≈diam(∂Ω). Thus, by Lemma 2.63 parts (a), (b), and (c),
ωL0XΔ0(Δ)≈ωL0XΔj(Δj)≈1 and the same occurs for ωL. These yield
[TABLE]
where we have used Harnack’s inequality and the fact that ωL∈RHq(3Δj,ωL0).
All these, the fact Δ⊂⋃jΔj∩Δ, and the bound J≤(1+2M)n+1 imply
[TABLE]
which eventually shows ωL,Ω∈RHq(Δ0,ωL0,Ω) in the current case.
Collecting Case 2a and Case 2b we have shown that ωL,Ω∈RHq(Δ0,ωL0,Ω) uniformly on Δ0 which eventually means that ωL,Ω∈RHq(∂Ω,ωL0,Ω) and hence ωL,Ω∈A∞(∂Ω,ωL0,Ω). This completes the proof.
We follow the same argument as in the previous proof using part (b) in place of part (a) in Proposition 3.1. Further details are left to the interested reader.
∎
Fix α>0. It is immediate to see that parts (a) and (b) follow respectively from parts (a) and (b) in Theorem 1.5 and the following estimate:
[TABLE]
where, as explained in Remark 1.12, the pole for ωL0 needs not to be specified. Hence everything reduces to obtaining such estimate. With this goal in mind, fix Δ0=B0∩∂Ω with B0=B(x0,r0), x0∈∂Ω, and 0<r0<diam(∂Ω). Let Δ=B∩∂Ω with B=B(x,r), x∈2Δ0, and 0<r<r0c0/4, here c0 is the Corkscrew constant. Write X0=XΔ0 and ω0=ωL0X0. Note that this choice guarantees that X0∈/4B. Define
[TABLE]
and for every I∈WB let XI∈I∩B so that 4diam(I)≤dist(I,∂Ω)≤δ(XI)<r and hence I⊂45B.
Pick xI∈∂Ω such that ∣XI−xI∣=δ(XI)≤diam(I)+dist(I,∂Ω) and let QI∈D be such that xI∈QI and ℓ(I)=ℓ(QI). By Lemma 2.63 parts (a)–(c) and Harnack’s inequality one can show that
[TABLE]
Then,
[TABLE]
Fix Y∈B and note that by the nature of the Whitney cubes one has #{I∈WB:I∋Y}≤Cn for some dimensional constant (indeed the I’s have non-overlapping interiors and hence for a.e. Y∈Ω, there is just one IY containing Y). Pick y∈∂Ω such that ∣Y−y∣=δ(Y). Let z∈QI, then by (2.36) and (2.39)
Hence, using again Lemma 2.63 parts (a) and (c), and Harnack’s inequality we conclude:
[TABLE]
This eventually shows (3.3) and this completes the proof of Theorem 1.10.
∎
3.1. Auxiliary results
We next state some auxiliary lemmas which will be needed for our arguments.
Lemma 3.4**.**
Let Ω be a bounded 1-sided NTA domain satisfying the CDC. Consider L0=−div(A0∇) and L=−div(A∇) two real (non-necessarily symmetric) elliptic operators, and let u0∈W1,2(Ω) be a weak solution to L0u0=0 in Ω. Then,
[TABLE]
Proof.
We follow the argument in [7, Lemma 3.12] where it was assumed that ∂Ω is AR and the operators were symmetric.
Pick φ∈C0∞(R) with 1(0,1)≤φ≤1(0,2). Fix X0∈Ω, for each 0<ε<δ(X0)/16 we set φε(X)=φ(∣X−X0∣/ε) and ψε=1−φε. By Remark 2.62, one has that GL⊤(⋅,X0)ψε∈W01,2(Ω), which together with the assumption that u0∈W1,2(Ω) is a weak solution to L0u0=0 in Ω, allows us to see that
[TABLE]
As a consequence,
[TABLE]
We use (1.1), Cauchy-Schwarz’s inequality, Caccioppoli’s inequality for GL⊤(⋅,X0) (which satisfies L⊤GL⊤(⋅,X0)=0 in the weak sense in Ω∖{X0}), and (2.58)
[TABLE]
where M2f:=M(∣f∣2)21, with M being the Hardy-Littlewood maximal operator on Rn+1. For the second term, we invoke again (2.58) and Jensen’s inequality:
[TABLE]
Combining the obtained estimates we have shown that, for every X0∈Ω and for every 0<ε<δ(X0)/16,
[TABLE]
Since u0∈W1,2(Ω) it the follows that M2(∣∇u0∣1Ω)∈L2,∞(Rn+1), and as a result M2(∣∇u0∣1Ω) is finite almost everywhere in Rn+1. Thus, we can let ε→0+ in (3.6) to obtain the desired equality.
∎
Lemma 3.7**.**
Let Ω be a bounded 1-sided NTA domain satisfying the CDC, and let L0=−div(A0∇) and L=−div(A∇) be two real (non-necessarily symmetric) elliptic operators. Given g∈Lip(∂Ω), consider the solutions u0 and u given by
[TABLE]
Then,
[TABLE]
for almost every X∈Ω.
Proof.
We again follow the argument in [7, Lemma 3.18] with some appropriate changes. Following [29] we know that u0=g−v0 and u=g−v, where g∈Lipc(Rn+1) is a Lipschitz extension of g, and v0,v∈W01,2(Ω) are the Lax-Milgram solutions of L0v0=L0g and Lv=Lg respectively. Hence, we have that u−u0=v0−v∈W01,2(Ω), and following again [29] one can extend (2.61) so that
[TABLE]
For almost every X∈Ω we then have that
[TABLE]
Using Lemma 3.4 for both terms the right side of the above equality vanishes almost everywhere, and this proves (3.8).
∎
For the following result, we recall the definition of the localized dyadic conical square function in (2.44). Also, if μ is a non-negative Borel measure on Q0 so that 0<μ(Q)<∞ for every Q∈DQ0, we define the localized dyadic maximal function with respect to μ as
[TABLE]
where ν is a non-negative Borel measure on Q0.
Lemma 3.9**.**
Let Ω be a 1-sided NTA domain satisfying the CDC and let L0=−div(A0∇) and L=−div(A∇) be two real (non-necessarily symmetric) elliptic operators. Let Q0∈D and let F={Qj}j⊂DQ0 be a (possibly empty) family of pairwise disjoint dyadic cubes. Let u0∈Wloc1,2(Ω), and let 0≤H∈L∞(Ω). Let Y0∈Ω∖BQ0∗(see (2.47)) and define γY0={γY0,Q}Q∈DQ0 where
[TABLE]
Then,
[TABLE]
Proof.
To ease the notation let us write ω0:=ωL0Y0, ω:=ωLY0, γY0,Q=γQ, and γY0=γ. From the definition of ΩF,Q0; Cauchy-Schwarz’s, Caccioppoli’s and Harnack’s inequalities (applied to GL⊤(⋅,Y0) which satisfies L⊤GL⊤(⋅,Y0)=0 in the weak sense in Ω∖{Y0}); the fact that ℓ(I)≈ℓ(Q)≈δ(Y) for every Y∈I∗∈WQ∗; (2.60); and Lemma 2.63 part (b) in conjunction with (2.47), we clearly have
[TABLE]
where in the last estimate we have used that the family {I∗}I∈WQ∗ has bounded overlap.
If we now set α={αQ}Q∈DQ0 with
where we have used that the family {UQ}Q∈DQ0 has finite overlap. Besides, if x∈Q0
[TABLE]
Collecting all the obtained estimates completes the proof of (3.10).
∎
Throughout the rest of this section we will always assume that Ω is a 1-sided NTA domain satisfying the CDC, hence ∂Ω is also bounded. We fix D=D(∂Ω) the dyadic grid for Lemma 2.34 with E=∂Ω. Let Lu=−div(A∇u) and L0u=−div(A0∇u) be two real (non-necessarily symmetric) elliptic operators. Fix x0∈∂Ω and 0<r0<diam(∂Ω) and let B0=B(x0,r0), Δ0=B0∩∂Ω. From now on X0:=XΔ0, ω0:=ωL0X0 and ω:=ωLX0.
We further assume that 0<r0<diam(∂Ω)/2. In particular r2Δ0<diam(∂Ω). We introduce the following notation (which should not be confused with the one introduced in (2.45)):
[TABLE]
Fixed φ∈C∞(0,∞) with 1(0,1)≤φ≤1(0,2), we define
[TABLE]
where
[TABLE]
A variant of the following lemma was shown in [7, Lemma 3.5].
Lemma 3.14**.**
Let Ω⊂Rn+1 be a 1-sided NTA domain satisfying the CDC. Let L0u=−div(A0∇u) be a
real (non-necessarily symmetric) elliptic operator. Fix φ∈C∞(0,∞) with 1(0,1)≤φ≤1(0,2). There exists C depending only on dimension n, the 1-sided NTA constants, the CDC constant, the ellipticity constant of L0, and φ (and independent of Δ0), such that for every Q∈DQ0 with Q0∈D∗Δ0, and with Pt as above then the following statements are true:
(a)
If g∈Lq(∂Ω,ω0), 1≤q≤∞, then
[TABLE]
(b)
If g∈Lq(∂Ω,ω0), 1≤q≤∞, and 0<t<ℓ(Q) then Pt(g1Q)∈Lip(∂Ω)∩L∞(∂Ω,ω0).
(c)
If g∈Lq(∂Ω,ω0), 1≤q<∞, then Ptg⟶g in Lq(2ΔQ,ω0) as t→0+.
(d)
If g∈C(∂Ω) then Ptg(x)⟶g(x) as t→0+ for every x∈2ΔQ.
(e)
If supp(g)⊂Δ(x,r) then supp(Ptg)⊂Δ(x,r+2t).
Proof.
We start with some preliminaries. Fix Q∈DQ0 with Q0∈D∗Δ0. Set
[TABLE]
and observe that ω0(Δ(x,t))≤H(x)≤ω0(Δ(x,2t)).
Hence if x,y∈∂Ω
[TABLE]
This easily implies (e) and also, recalling the notation in (2.36)–(2.38),
[TABLE]
by Lemma 2.63 part (c), and the implicit constant does not depend on t. Moreover,
for every x∈4ΔQ
[TABLE]
Note also that fixed 0<t<ℓ(Q)≤ℓ(Q0)<r0 for every x∈4ΔQ we have
δ(XΔ(x,2t))≥2c0t and since Q0∈D∗Δ0
[TABLE]
Hence, the Harnack Chain condition and Harnack’s inequality yield
[TABLE]
where the last estimate follows from Lemma 2.63 part (a) and the implicit constants depend on t but are uniform in x∈4ΔQ.
To show (a), note first (Ptg)12ΔQ=(Pt(g13ΔQ))12ΔQ whenever 0<t<ℓ(Q). This, Fubini’s theorem and (3.17) yield
[TABLE]
Thus, (a) follows easily from Marcinkiewicz’s interpolation theorem.
To obtain (b) we first observe that (e) yields supp(Pt(g1Q))⊂3ΔQ. This, (3.16), Hölder’s inequality, and (3.18) give
for every x∈3ΔQ
[TABLE]
Thus, Pt(g1Q)∈L∞(∂Ω,ω0).
We next see that Pt(g1Q)∈Lip(∂Ω). Using what we have proved so far it is trivial to see that it suffices to consider the case on which ∣x−x′∣<ℓ(Q) and both x,x′∈4ΔQ. Taking such points we note that
[TABLE]
Note that for every y∈Q we have by the mean value theorem and easy calculations
[TABLE]
where in the last estimate we have used (3.18). Consequently,
[TABLE]
and this completes the proof of (b).
Let us now establish (d). Since g∈C(∂Ω) and ∂Ω is bounded, g is uniformly continuous and hence given ε>0 there exists η>0 such that
∣g(y)−g(x)∣<ε whenever ∣x−y∣<min{η,ℓ(Q)}. Hence, if 0<t<η/2 and x∈4ΔQ by (3.16)
[TABLE]
and therefore Ptg(x)⟶g(x) for every x∈4ΔQ (which is indeed stronger than what stated in (d)).
Finally, we show (c). To set the stage, fix ε>0 and g∈Lq(ω0,∂Ω), 1≤q<∞. Pick h∈C(∂Ω) such that ∥g−h∥Lq(∂Ω,ω0)<ε. Proceeding as in the proof of (d) there exists η>0 such that
∣h(y)−h(x)∣<ε whenever ∣x−y∣<min{η,ℓ(Q)}. Hence, if 0<t<η/2 and x∈2ΔQ by (3.16)
[TABLE]
Using all these we obtain for all 0<t<η/2
[TABLE]
where we have used item (a) and the fact that ω0(∂Ω)≤1. This completes the proof.
∎
Lemma 3.19**.**
Let Ω⊂Rn+1 be a 1-sided NTA domain satisfying the CDC and adopt the notation introduced above.
There exists κ>0 depending only on dimension n, the 1-sided NTA constants, the CDC constant, and the ellipticity constant of L0 (and independent of Δ0) such that if Q0∈D∗Δ0 and we set
[TABLE]
then ∥mγ∥C(Q0,ω0)≤κ∣∣∣ϱ(A,A0)∣∣∣B0.
Proof.
Fix Q0∈D∗Δ0 and pick y0∈Q0∩Δ0. Let Q∈DQ0 and note that by (2.36) and the fact that κ0≥16Ξ
[TABLE]
Hence xQ∈2Δ0. Note also that rBQ∗=2κ0rQ≤2κ0ℓ(Q0)<r0c0/4. This means that BQ∗ is one of the balls in the sup in (3.2). Also, X0∈/4BQ∗ hence if Q′∈DQ and Y∈I∗∈WQ′∗ we have by Harnack’s inequality and Lemma 2.63 parts (a)–(c),
[TABLE]
On the other hand, by (2.39) and recalling that I∗=(1+λ)I with 0<λ<1, it follows that I∗⊂B(Y,δ(Y)/2) and thus ∥A−A0∥L∞(I∗)≤ϱ(A,A0)(Y). All these imply
[TABLE]
where have used that the families {I∗}I∈W and {UQ′}Q′∈DQ have bounded overlap, (2.47), and Lemma 2.63, parts (b) and (c). This leads to the desired estimate.
∎
and define Lju=−div(Aj∇u). Note that the matrix Aj is uniformly elliptic with constant Λ0=max{ΛA,ΛA0}, where ΛA and ΛA0 are the ellipticity constants of A and A0 respectively. Let ωLj be elliptic measure of Ω associated to the operator Lj with pole at X0.
The following result is a version of [7, Proposition 4.28] adapted to our setting.
Lemma 3.23**.**
Let Ω⊂Rn+1 be bounded 1-sided NTA domain satisfying the CDC. Assume that there exists q, 1<q<∞, such that ωLj∈RHq(45Δ0,ω0) for every j≥j0 and with implicit constants which are uniform in j and in Δ0. Then ωL∈RHq(Δ0,ω0) with
[ωL]RHq(Δ0,ω0)≲supj≥j0[ωLj]RHq(45Δ0,ω0), with an implicit constant depending on dimension n, the 1-sided NTA constants, the CDC constant, and the ellipticity constants of L0 and L (and independent of Δ0).
Proof.
Set Υ:=supj≥j0[ωLj]RHq(45Δ0,ω0). Consider an arbitrary Δ0′=B0′∩∂Ω with B0′=B(x0′,r0′)⊂B0. Write X0′=XΔ0′, ω′=ωLX0′, ω0′=ωL0X0′ (and note that ω0=ωL0X0 since X0=XΔ0). Write Δ1=45Δ0′, let r1=45r0′ be its radius and set X1=XΔ1. By hypotheses ωLj≪ω0 in 45Δ0, hence h(⋅;Lj,L0,X) is defined ω0-a.e. in 45Δ0.
If r0′<c0r0/(3κ0) so that X0∈Ω∖2κ0B1, by Lemma 2.63 part (d) applied to Lj and L0 we have
[TABLE]
ω0-a.e. in Δ1. This and Lemma 2.63 part (d) give
[TABLE]
where the implicit constants are independent of j.
For any f∈C(∂Ω), we define Φ(f):=∫∂Ωf(y)dω′(y).
Let f∈Lip(∂Ω) with supp(f)⊂Δ1 and consider the following solutions to the Dirichlet problems associated with the operators L and Lj in Ω:
[TABLE]
Implicit in the way that ωLj is defined and since Ω is bounded one has that uj=F−vj where F is a compactly supported Lipschitz extension (e.g., [15, p. 80] multiplied some cut-off function) of f such that ∥F∥Lip(Rn+1)≤∥f∥Lip(∂Ω)+∥f∥L∞(∂Ω) and vj∈W01,2(Ω) is the unique Lax-Milgram solution to the problem Ljvj=LjF in Ω. Also, one has
[TABLE]
where the implicit constants depend on diam(∂Ω) and Λ0.
Since f∈Lip(∂Ω) it follows that we can use Lemma 3.7 (slightly moving X0′ if needed) to obtain
[TABLE]
We want to estimate the right hand-side of this identity. To this end, if j>j0 is large enough so that 2−j<δ(XΔ0′)/2 then
Σj:={Y∈Ω:δ(Y)<2−j}∩B(X0′,δ(X0′)/2)=\mbox\O. Using (1.1) and Hölder’s inequality we have
[TABLE]
By Remark 2.62 and (3.26) the dominated convergence theorem gives that uj(X0′)⟶u(X0′) as j→∞. Using this observation, the definitions of u, uj, Φ, and the fact that supp(f)⊂Δ1, we get that for every f∈Lip(∂Ω) with supp(f)⊂Δ1
[TABLE]
Note that in the previous inequalities we have employed that Δ0′⊂Δ1 have comparable radii, Harnack’s inequality, and (3.25).
We next write Δ2=89Δ0′ so that Δ0′⊂Δ0′⊂Δ2⊂Δ2⊂Δ1 and let f∈Lq′(Δ2,ω0′) (where we recall that ω0′=ωL0XΔ0′). Abusing the notation we extend f by [math] in ∂Ω∖Δ2 so that supp(f)⊂Δ2. By definition of D∗Δ0′, see (3.11), we have that Δ0′⊂Δ1⊂⋃Q∈D∗Δ0′Q where the cubes in D∗Δ0′ are pairwise disjoint. Also, by Harnack’s inequality and Lemma 2.63 parts (a) and (c)
[TABLE]
hence #D∗Δ0 is uniformly bounded. This means that by Lemma 3.14 applied with ω0′ in place of ω0
[TABLE]
provided 0<t<c0r0′/(32κ0)=:t0. Note that t0≤ℓ(Q) for every Q∈D∗Δ0′. Also Lemma 3.14 applied with ω0′ in place of ω0 implies that
[TABLE]
provided 0<t<r0′/16. Consequently, if 0<t<t0 we have shown that Ptf∈Lip(∂Ω) with supp(Ptf)⊂Δ1. We can then invoke (3.28) to see that
[TABLE]
where we have used that supp(Pt(f1Q))⊂Δ(xQ,CrQ+2t)⊂2ΔQ for every Q∈D∗Δ0, Lemma 3.14 applied with ω0′ in place of ω0, and that #D∗Δ0 is uniformly bounded.
On the other hand, if 0<t,s<t0 we have that Ptf−Psf∈Lip(∂Ω) with supp(Ptf−Psf)⊂Δ1 and again we can invoke (3.28) to see that a similar computation lead us to
[TABLE]
This and Lemma 3.14 applied with ω0′ in place of ω0 yield that {Φ(Ptf)}0<t<t0 is a Cauchy sequence and we can define Φ(f):=limt→0+Φ(Ptf). Clearly, Φ is a well-defined linear operator and satisfies
[TABLE]
Consequently, there exists g∈Lq(Δ2,ω0′) with ∥g∥Lq(Δ2,ω0′)≲Υω0(Δ0′)−q′1 such that
[TABLE]
We now assume that f∈C(∂Ω) with supp(f)⊂Δ2, thus f∈Lq′(Δ2,ω0′) and hence Ptf∈Lip(∂Ω). Also, proceeding as above
[TABLE]
Note also that, as mentioned above, for t small enough one has supp(Ptf)⊂Δ1 and the cubes in D∗Δ0′ cover Δ1. Hence by Lemma 3.14 applied with ω0′ in place of ω0 it follows that Ptf(x)⟶f(x) as t→0+ for every y∈Δ1. These, the definitions of Φ, Φ, and the dominated convergence theorem yield for every f∈C(∂Ω) with supp(f)⊂Δ2
[TABLE]
Our next goal is to show that ω′=ωLX0′≪ωL0X0′=ω0′ in Δ3=1617Δ0′. Let E⊂Δ3 a Borel set. Since both measures are Borel regular, given ε>0 we can find a compact set K and open set U such that K⊂E⊂U⊂Δ2 satisfying
ω(U∖K)+ω0(U∖K)<ε.
Using Urysohn’s lemma we construct f∈Cc(∂Ω) such that 1K≤f≤1U and supp(f)⊂Δ2. Thus, combining (3.29) and (3.30), and using definition of Φ and Φ we have
[TABLE]
By letting ε→0 we see that ω′(E)≲ω0′(E)q′1Υω0(Δ0′)−q′1 and consequently ω′≪ω0′ in Δ3. Thus we can write h(⋅):=h(⋅;L,L0,X0′)=dωL0X0′dωLX0′=dω0′dω′∈L1(Δ3,ω0′) which is well-defined for ω0′-a.e. point in Δ3 and if f∈C(∂Ω) with suppf⊂Δ3⊂Δ2
[TABLE]
Note that h=(g−h)1Δ3∈L1(∂Ω,ω0′) hence proceeding as above if 0<t<t0 Lemma 3.14 applied with ω0′ in place of ω0 gives
[TABLE]
On the other hand, for any x∈Δ0′ and 0<t<r0′/32 if we consider φt as in (3.13) with ω0′ in place of ω0 we have
supp(φt(x,⋅))⊂Δ(x,2t)⊂Δ3. Thus, we can invoke (3.31) with f=φt(x,⋅) to get Pth(x)=0 for every x∈Δ0′. Thus, Lemma 3.14 part (c) applied with ω0′ allows us to conclude that h=0ω0′-a.e. in Δ0′. Hence g=h≥0ω0′-a.e. in Δ0′ and using that ∥g∥Lq(Δ2,ω0′)≲Υω0(Δ0′)−q′1
[TABLE]
where the last estimate follows from Lemma 2.63 part (a). At this point we can repeat the computations we have done in (3.24) replacing Lj by L and Δ1 by Δ3 —we already know that ω′≪ω0′ in Δ3=1617Δ0′ where B0′ was arbitrary chosen so that B0′⊂B0, hence taking B0′=B0 we conclude that ω≪ω0 in Δ3— to obtain that
[TABLE]
for ω0-a.e. z∈Δ3, and where we have used Harnack’s inequality to pass from X0′ to XΔ3.
This, Lemma 2.63 part (d), and (3.32) give
[TABLE]
Since Δ0′=B0′∩∂Ω was arbitrary with B0′=B(x0′,r0′)⊂B0 we therefore conclude that
ωL∈RHq(Δ0,ω0) with
[ωL]RHq(Δ0,ωL0)≲Υ and this completes the proof.
∎
We start assuming that Ω is a bounded 1-sided NTA domain satisfying the CDC and whose boundary ∂Ω is bounded. We fix D=D(∂Ω) the dyadic grid from Lemma 2.34 with E=∂Ω. As in the statement of Proposition 3.1 let Lu=−div(A∇u) and L0u=−div(A0∇u) be two real (non-necessarily symmetric) elliptic operators. Fix x0∈∂Ω and 0<r0<diam(∂Ω) and let B0=B(x0,r0), Δ0=B0∩∂Ω. From now on X0:=XΔ0, ω0:=ωL0X0 and ω:=ωLX0.
We first observe that we can reduce the proof to the case 0<r0<diam(∂Ω)/2. Assuming that this has been already proved we now explain how to consider the general case. Let B0=B(x0,r0) with diam(∂Ω)/2≤r0<diam(∂Ω). We proceed as Case 2b in the proof of Theorem 1.5 part (a) with M=1 to find the corresponding collection {xj}j=1J with J≤21n+1. Let Bj=B(xj,diam(∂Ω)/10) for 1≤j≤J. Then we can easily see that Harnack’s inequality yields sup1≤j≤J∣∣∣ϱ(A,A0)∣∣∣Bj,Ω⋆≲∣∣∣ϱ(A,A0)∣∣∣B0 and since rBj<diam(∂Ω)/2 we can apply the claimed case to conclude that ωL∈RHq(3Δj,ωL0) (for part (b), q=p). At this point we carry out the same argument mutatis mutandis to conclude that ωL∈RHq(Δ0,ωL0) which completes the proof.
We split the proof in several steps.
3.2.1. Step 0
We first make a reduction which will allow us to use some qualitative properties of the elliptic measure. By Lemma 3.23 it suffices to show that there exists 1<q<∞ such that for every j large enough ωLj∈RHq(45Δ0,ω0) uniformly in j and in Δ0. Thus we fix j∈N and let L=Lj be the operator defined by Lu=−div(A∇u), with A=Aj (see (3.22)).
As mentioned above A is uniformly elliptic with constant Λ0=max{ΛA,ΛA0}. Also, since L≡L0 in {Y∈Ω:δ(Y)<2−j}, by Lemma 2.63 part (f) and Harnack’s inequality give that ωL0≪ωL≪ωL0, hence recalling (2.55) we have that h(⋅;L,L0,X) exists ω0X-a.e. for every X∈Ω. Moreover, fixed Δ1=Δ(x1,r1) with x1∈∂Ω and 0<r1<2−j−2/κ0 for every Δ=B∩∂Ω with B=B(x,r)⊂B1, x∈∂Ω, and 0<r<diam(∂Ω), we have by Lemma 2.63 part (f)
[TABLE]
Letting r→0+ the Lebesgue differentiation theorem (whose applicability is ensured by the fact that ωL0XΔ1 is doubling in Δ1) yields
h(y;L,L0,XΔ1)≈1,
for ωL0XΔ1-a.e. x∈Δ1. Thus, by Harnack’s inequality
h(⋅;L,L0,X)∈Lloc∞(∂Ω,ωL0Y) for every X,Y∈Ω —the actual norm will depend on X, Y and j, but we will use this fact in a qualitative fashion. This qualitative control will be essential in the following steps. At the end of Step 3 we will have obtained the desired conclusion for the operator L=Lj, with constants independent of j∈N, which as observed above will allow us to complete the proof by Lemma 3.23.
3.2.2. Step 1
Let us recall that we have fixed already x0∈∂Ω and 0<r0<diam(∂Ω)/2 and let B0=B(x0,r0), Δ0=B0∩∂Ω, X0=XΔ0, and ω0=ωL0X0. Set ω:=ωLX0. Fix Q0∈D∗Δ0 (see (3.11)), so that by (2.47),
[TABLE]
Set E(Y):=A(Y)−A0(Y), Y∈Ω, and consider γ={γQ}Q∈DQ0
[TABLE]
Lemma 3.19 yields that ∥mγ∥C(Q0,ω0)≲∣∣∣ϱ(A,A0)∣∣∣B0<∞, hence mγ is a discrete Carleson measure with respect to ω0 in Q0. Our goal is to show that ω∈A∞dyadic(Q0,ω0) and we will use Lemma 2.33 with μ=ω0. To this aim we fix Q0∈DQ0 and a family of pairwise disjoint dyadic cubes F={Qi}⊂DQ0 such that
[TABLE]
with ε0>0 sufficiently small to be chosen and where we have used the notation introduced in
(2.31) and (2.32).
We modify the operator L inside the region ΩF,Q0 (see (2.41)), by defining L1=L1F,Q0 as L1u=−div(A1∇u), where
[TABLE]
See Figure 2. Recalling that A=Aj (see (3.22)), it is clear that E1:=A1−A0 verifies ∣E1∣≤∣E∣1ΩF,Q0 and also E1(Y)=0 if δ(Y)<2−j (this latter condition will be used qualitatively). Hence much as before if we write ω1X=ωL1X for every X∈Ω and ω1=ω1X0 we have that ω1≪ω0 and hence we can write h(⋅;L1,L0,X0)=dω1/dω0 which is well-defined ω0-a.e. Also, as shown in Step 0 we have that h(⋅;L1,L0,X0)∈Lloc∞(∂Ω,ω0) (the bound depends on X0 and the fixed j but we will use this qualitatively).
We next fix Q0⋆∈DQ0 an define L1⋆=L1F,Q0⋆ as L1⋆u=−div(A1⋆∇u) where
[TABLE]
Note that if Q0⋆=Q0 then L1⋆≡L1. Again E1⋆:=A1⋆−A0 verifies ∣E1⋆∣≤∣E∣1ΩF,Q and also E1⋆(Y)=0 if δ(Y)<2−j (this latter condition will be used qualitatively). Hence if write ω⋆X=ωL1⋆X for every X∈Ω we have that ω⋆X≪ω0X for every X∈Ω and hence we can write h(⋅;L1⋆,L0,X)=dω⋆X/dω0X which is well-defined ω0X-a.e. Also, as shown in Step 0 we have h(⋅;L1⋆,L0,X)∈Lloc∞(∂Ω,ω0Y) for every X,Y∈Ω (the bound depends on X, Y and the fixed j but we will use this qualitatively).
Set X⋆:=Xc0−1ΔQ0⋆∗ which satisfies 2κ0rQ0⋆≤δ(X⋆)<r0 since ℓ(Q0⋆)≤ℓ(Q0)≤ℓ(Q0)≤8κ0c0r0. Moreover, X⋆∈Ω∖BQ0⋆∗. To simplify the notation set ω⋆=ω⋆X⋆ and ω0⋆=ω0X⋆.
We have two cases:
Case 1:Q0⋆∈/DF,Q0, that is, Q0⋆⊂Qj∈F for some j. Clearly, ΩF,Q0⋆=\mbox\O and hence L1⋆≡L0 in Ω. As a consequence, ω⋆X≡ω0X for every X∈Ω and h(⋅;L1⋆,L0,X⋆)≡1 in ∂Ω. In turn we obtain
[TABLE]
Case 2:Q0⋆∈DF,Q0. In this case it is easy to see that
[TABLE]
Thus, DF∩DQ0⋆=DF⋆∩DQ0⋆ and ΩF,Q0⋆=ΩF⋆,Q0⋆. On the other hand, we set
γ⋆={γQ⋆}Q∈DQ0⋆ where
[TABLE]
Using (2.65) and Harnack’s inequality we have that ω0⋆(Q)≈ω0(Q)/ω0(Q0⋆) for Q∈DQ0⋆ where ω0⋆=ω0X⋆. Hence, by (3.34),
We next fix 1<q<∞ and 0≤g∈Lq(Q0⋆,ω0⋆) with ∥g∥Lq(Q0⋆,ω0⋆)=1. Extend g by 0 in ∂Ω∖Q0⋆. Set gt=Ptg with 0<t<ℓ(Q0⋆)/3 (see (3.12)) and note that Lemma 3.14 gives that gt∈Lip(∂Ω) with supp(gt)⊂2ΔQ0⋆. We then consider
[TABLE]
Since Ω is bounded, we can use Lemma 3.7 (slightly moving X⋆ if needed). This, Lemma 3.9, (3.37), and Hölder’s inequality yield
[TABLE]
Using the well-known fact that MQ0⋆,ω0⋆d is bounded on Lq′(Q0⋆,ω0⋆) and that, as mentioned before ω⋆≪ω0⋆ with h(⋅;L1⋆,L0,X⋆)=dω⋆/dω0⋆, it readily follows that
[TABLE]
On the other hand, using the square-function non-tangential estimates from [2, Theorem 1.5, Proposition 2.57], Lemma 3.14, Remark 2.64, and Harnack’s inequality to pass from X⋆ to XQ0⋆, and the fact that suppg⊂Q0⋆, yield
[TABLE]
Thus we conclude that ∣u⋆t(X⋆)−u0t(X⋆)∣≲ε021∥h(⋅;L1⋆,L0,X⋆)∥Lq′(Q0⋆,ω0⋆),
hence, using the definitions of u0t and u⋆t we arrive at
[TABLE]
Since g∈Lq(Q0,ω0) with supp(g)⊂Q0⋆, it follows that supp(g),supp(gt)⊂2ΔQ0⋆. Hence, Lemma 3.14,
Harnack’s inequality and (2.65) give
[TABLE]
Similarly, using that as mentioned above ω⋆≪ω0 with h(⋅;L1⋆,L0,X⋆)∈Lloc∞(∂Ω,ω0)
[TABLE]
Combining the previous estimates and letting t→0+ we conclude that
[TABLE]
Taking now the sup over all 0≤g∈Lq(Q0⋆,ω0⋆) with ∥g∥Lq(Q0⋆,ω0⋆)=1 we eventually get
[TABLE]
Since h(⋅;L1,L0⋆,X⋆)∈Lloc∞(∂Ω,ω0⋆) (albeit with bounds which may depend on X⋆ or j) we can hide the first term on the right hand side and eventually obtain fixing ε0 small enough (depending on n, the 1-sided NTA constants, the CDC constant, the ellipticity constants of L0 and L2, and on q),
[TABLE]
Note then that by (3.36) we conclude that (3.39) holds for any Q0⋆∈DQ0. On the other hand,
using [28, Lemma 3.55] (which holds as well in our scenario), there exists 0<κ1<κ1 (see (2.47)), depending only on the allowable parameters, such that κ1BQ0⋆∩ΩF,Q0=κ1BQ0⋆∩ΩF,Q0⋆, Hence L1⋆≡L1 in κ1BQ0⋆∩Ω which, by Lemma 2.63 part (f) and Harnack’s inequality, gives that ω⋆ and ω0⋆ are comparable in ηΔQ0⋆ with η=κ1/(2κ0), thus h(⋅;L1⋆,L0,X⋆)≈h(⋅;L1,L0,X⋆) for ω0⋆-a.e. in ηΔQ0⋆ (hence, also ω0-a.e.). This, Remark 2.64, Harnack’s inequality, and Lemma 2.63 part (c) yield
[TABLE]
and these hold ω0-a.e. in ηΔQ0⋆ an ∀Q0⋆∈DQ0 (recall that ω1 and ω0 are mutually absolutely continuous). Eventually, (3.39), Remark 2.64 and Harnack’s inequality allow us to conclude that for all Q0⋆∈DQ0
[TABLE]
Our next goal is to show that the latter implies that ω1∈A∞dyadic(Q0,ω0) and to show that we use an argument similar to [7, Lemma 3.1]. Let Q∈DQ0 and a Borel set F⊂ηΔQ and note that by (3.40) applied to Q
[TABLE]
hence
[TABLE]
On the other hand, by Lemma 2.63 part (c), ω0(Q)≤C2ω0(ηΔQ) for all Q∈DQ0. Fix then α,
0<α<(C2C1q)−1, and take F⊂Q such that
ω0(F)>(1−α)ω0(Q). Writing F0=ηΔQ∩F and F1=ηΔQ∖F, it is clear that
[TABLE]
As a result,
[TABLE]
Combining (3.41) and (3.42) applied to F1 we obtain \omega_{1}(F_{1})/\omega_{1}(\eta\Delta_{Q})<C_{1}\big{(}C_{2}\alpha\big{)}^{\frac{1}{q}}. This and the fact that ω1(Q)≤C3ω1(ηΔQ), by Lemma 2.63 part (c), yield
[TABLE]
with 0<β<1 by our choice of α. This eventually shows that ω1∈A∞dyadic(Q0,ω0) (see Definition (2.25)) as desired. This with the help of Lemma 2.28 allows us to obtain that PFω0ω1∈A∞dyadic(Q0,ω0), which is the conclusion of Step 1.
3.2.3. Step 2
We next define a new operator L2u=−div(A2∇u) where (see Figure 3):
[TABLE]
The goal of this step is to show that PFω0ω2∈A∞dyadic(Q0,ω0), where much as before let ω2=ωL2X0.
We apply Lemma 2.66 to obtain YQ0∈Ω∩ΩF,Q0 satisfying (2.67). For k=1,2 we write ωkYQ0=ωLk,ΩYQ0 a for the elliptic measures associated with Lk for the domain Ω and with pole at YQ0. Likewise, let ωk,∗YQ0=ωLk,ΩF,Q0YQ0 be the elliptic measures associated with Lk for the domain ΩF,Q0 and with pole at YQ0.
By definition A2=A~ in TQ0, A2=A0 in Ω∖TQ0, and A2=A1 in ΩF,Q0. Hence L2≡L1 in ΩF,Q0, and thus
ω2,∗YQ0≡ω1,∗YQ0. If we now consider the associated measures νL1YQ0 and νL2YQ0 in (2.70) from Lemma 2.69 it follows from (2.71) (with μ=ω0 which is clearly (dyadically) doubling in Q0 by Lemma 2.63 part (c)) that PFω0νL1YQ0=PFω0νL2YQ0 as measures on Q0.
In Step 1 we showed that PFω0ω1∈A∞dyadic(Q0,ω0), then there is 1<q<∞ such that PFω0ω1∈RHqdyadic(Q0,ω0). Note that by Remark 2.64 and Harnack’s inequality we have that
PFω0ωkYQ0≈PFω0ωk/ω1(Q0) for k=1,2. Then given Q∈DQ0 and a Borel set F⊂Q we have that all these yield
[TABLE]
where in the second and third estimates we have invoked Lemma 2.69 respectively for L2 (with parameter θ2) and L1, and the last estimate follows easily from the fact that PFω0ω1∈RHqdyadic(Q0,ω0) and Hölder’s inequality. This, the fact that PFω0ω2 is dyadic doubling in Q0 by Lemma 2.28 part (a) since ω2 is indeed doubling in 4ΔQ0 by Lemma 2.63 part (c), and [28, Lemma B.7] (which is a purely dyadic result and hence applies in our setting) gives that there exists θ,θ′>0 such that
[TABLE]
3.2.4. Step 3
In this part, we change the operator outside of TQ0 to complete the process. To this end, let L3u=−div(A3∇u), where
[TABLE]
and note that L3≡L in Ω (see Figure 4). Let w3X0:=ωL3X0 be the elliptic measure of Ω associated with the operator L3≡L with pole at X0.
In this step we are going to need the following property: if τ>0 is small enough, there exists Cτ>1 such that
[TABLE]
where \Sigma_{\tau}:=\big{\{}x\in Q_{0}:\>\operatorname{dist}(x,\partial\Omega\setminus Q_{0})<\tau\ell(Q_{0})\big{\}}.
Assuming this momentarily, our final goal is to prove that for every ζ, 0<ζ<1, there exists Cζ>1 such that
[TABLE]
Fix then ζ∈(0,1), and F⊂Q0 with ω0(F)≥ζω0(Q0). Consider first the case on which F={Q0}, in which case
[TABLE]
which is the desired estimate with Cζ=ζ. Thus we may assume that F⊂DQ0∖{Q0}. Let τ≪1 small enough to be chosen and
let Q0τ:=Q0∖⋃Q′∈IτQ′, where
[TABLE]
By construction, Στ⊂⋃Q′∈IτQ′, and by (2.36) every Q′∈Iτ satisfies Q′⊂Σ(1+4Ξ)τ. Using Lemma 2.34 (see [2, Remark 2.19]), along with the fact that ω0 is doubling in 4Δ0 with a constant which does not depend on Δ0 (see Lemma 2.63 part (c)), if τ=τ(ζ)>0 is sufficiently small then
[TABLE]
Letting F′=F∩Q0τ, it follows that
[TABLE]
Hence ω0(F′)/ω0(Q0)≥ζ/2 and by (3.43), we conclude that
[TABLE]
Our next goal is to show that there is cζ>0 such that PFω0ω3(F′)≥cζPFω0ω2(F′). To see this let Qk∈F be such that F′∩Qk=\mbox\O. We consider two cases. If
Qk⊂Q0τ, we can invoke (3.44) since Q0τ⊂Q0∖Στ, to conclude that
[TABLE]
Otherwise, Qk∖Q0τ=\mbox\O, and there exists Q′∈Iτ such that Qk∩Q′=\mbox\O. Then necessarily Q′⊊Qk —if Qk⊂Q′ then Qk⊂Q0∖Q0τ, contradicting that F′∩Qk=\mbox\O and F′⊂Q0τ— and, in particular, ℓ(Qk)>τℓ(Q0). Take Qk∈DQk with xQk∈Qk, ℓ(Qk)=2−Mℓ(Qk) and M>1 to be chosen. Note that
diam(Qk)≈2−Mℓ(Qk) (see Remark 2.13) and clearly
[TABLE]
Taking M≫1 large enough, we conclude that
[TABLE]
and hence Qk⊂Q0∖Σcτ. Using again (3.44) (with cτ in place of τ) and Lemma 2.63 part (c) we obtain
[TABLE]
Combining (3.47), (3.48) and invoking (3.44), since F′⊂Q0τ⊂Q0∖Στ, we conclude that
[TABLE]
where we have used that τ=τ(ζ), that PFω0ωi(Q0)=ωi(Q0) for i=2,3, and the last estimate follows from (3.46). This eventually proves (3.45) in the present case and it remains to establish our claim (3.44).
To show (3.44) write r=τℓ(Q0)/(8κ0) (see (2.48)) and find a maximal collection of points {xk}k∈K⊂Q0∖Στ with respect to the property that ∣xk−xk′∣>2r/3 for every k,k′∈K with k=k′. Write
Δk=Δ(xk,r) and observe that {31Δk}k∈K is a family of pairwise disjoint surface balls such that Q0∖Στ⊂⋃k∈KΔk. Note that by (2.36), we have
31Δk⊂2ΔQ0⊂Δ(xk,3Ξℓ(Q0)),
for every k∈K, hence Lemma 2.63 part (c) yields
[TABLE]
which eventually gives #K≤Cτ.
We claim that Bk∗∩Ω⊂TQ0, with Bk∗:=BΔk∗=B(xk,2κ0r) and κ0 as in (2.48). To see this let Y∈Bk∗∩Ω and take I∈W such that Y∈I. Pick yk∈∂Ω verifying dist(I,∂Ω)=dist(I,yk) and let Rk∈D be the unique dyadic cube such that yk∈Rk and ℓ(Rk)=ℓ(I), thus I∈WRk∗. Let us see that Rk∈DQ0. First, by (2.39) and our choice of M
and hence yk∈int(Q0). Since yk∈Q0∩Rk and ℓ(Rk)<ℓ(Q0)/4 it follows that Rk∈DQ0. This and the fact that Y∈I∈WRk∗ allow us to conclude that Y∈TQ0. Consequently, we have shown that Bk∗∩Ω⊂TQ0 and thus L2≡L3 in Bk∗∩Ω for every k∈K.
Next, we observe that δ(XQ0)≈ℓ(Q0), δ(XΔk)≈τℓ(Q0), and ∣XQ0−XΔk∣≲ℓ(Q0). Hence, we can use Harnack’s inequality to move from XQ0 to XΔk with constants depending on τ, Lemma 2.63 part (f) and Remark 2.64 to obtain that if Fj⊂Δj∩Qj
[TABLE]
This and the fact Q0∖Στ⊂⋃k∈KΔk readily give (3.44) and we finish Step 3.
3.2.5. Step 4
Let us recap what we have obtained so far. Fixed x0∈∂Ω and 0<r0<diam(∂Ω)/2, we set B0=B(x0,r0), Δ0=B0∩∂Ω, X0=XΔ0, and ω0=ωL0X0, in Step 0 we took an arbitrary j and wrote L=Lj, (see (3.22)) and ω=ωLX0. For an arbitrary Q0∈D∗Δ0 (see (3.11)), and for any given
Q0∈DQ0 we let F={Qi}⊂DQ0 be a family of pairwise disjoint dyadic cubes such that (3.35) holds with ε0 small enough to be chosen. Combining Step 1–Step 3 we have shown that if ε0 is small enough (depending only in the allowable parameters) then
(3.45) is satisfied. Note that keeping track of the constants one can easily see that Cζ does not depend on j, x0, r0, Q0 and Q0 —the fact that L=Lj, which agrees with L0 in small boundary strip, was mainly used, and only in a qualitative fashion, in (3.38) in Step 1 to a priori know that some term is finite so that it can be hidden. We can then invoke Lemma 2.33 with the dyadically doubling measures (see Lemma 2.63 part (c)) μ=ω0 and ν=ω to eventually show that (3.45) (recalling that L3≡L as mentioned in Step 3) yields ω∈A∞dyadic(Q0,ω0) (uniformly on the implicit j and Q0), that is, there exist 1<q<∞ and C (independent of j an Q0) such that for every Q∈DQ0 with Q0∈D∗Δ0
[TABLE]
Our next goal is to see that ω∈RHq(45Δ0,ω0) (uniformly in j). To do this let Δ=B∩∂Ω with B=B(x,r)⊂45B0 such that x∈∂Ω. Write r=min{4Ξr,32κ0c0r0}, where Ξ is the constant in (2.36), and let
[TABLE]
Clearly, DΔ is a family of pairwise disjoint cubes such that Δ⊂⋃Q∈DΔQ⊂2Δ. Note that if Q∈DΔ then \mbox\O=Q∩Δ⊂Q∩45Δ0⊂Q∩23Δ0, thus Q∩Q0=\mbox\O for some Q0∈D∗Δ0. Besides, ℓ(Q)<2r<c0r0/(16κ0)≤ℓ(Q0). Consequently, Q∈DQ0 and (3.49) applies to each Q∈DΔ. All in one we have
[TABLE]
where we have used that ω0(Δ)≈ω0(Q) for every Q∈DΔ, and also that ω(2Δ)≈ω(Δ). These in turn follow from Lemma 2.63 part (c) and the facts that Q meets Δ and ℓ(Q)≈r≈r since 0<r<r0. This eventually establishes that ωLjX0=ω∈RHq(45Δ0,ω0) with a constant that depends only on the allowable parameters and which is ultimately independent of j and Δ0. This, as explained in Step 0, allows us to conclude that ωL∈RHq(Δ0,ω0) with the help of Lemma 3.23, completing the proof of Proposition 3.1, part (a). ∎
We start assuming that Ω is a bounded 1-sided NTA domain satisfying the CDC and whose boundary ∂Ω is bounded. We fix D=D(∂Ω) the dyadic grid from Lemma 2.34 with E=∂Ω. As in the statement of Proposition 3.1 let Lu=−div(A∇u) and L0u=−div(A0∇u) be two real (non-necessarily symmetric) elliptic operators. Fix x0∈∂Ω and 0<r0<diam(∂Ω) and let B0=B(x0,r0), Δ0=B0∩∂Ω. From now on X0:=XΔ0, ω0:=ωL0X0 and ω:=ωLX0. As observed in the proof of part (a), without loss of generality we may assume that 0<r0<diam(∂Ω)/2.
We fix 1<p<∞ and assume that ∣∣∣ϱ(A,A0)∣∣∣B0<ε, where ε is a small enough parameter to be chosen. Our goal is to obtain that ω∈RHp(Δ0,ω0).
We split the proof in several steps.
3.3.1. Step 0
Much as before Lemma 3.23 guarantee that just need to see that for every j large enough ωLj∈RHp(45Δ0,ω0) uniformly in j and in Δ0. Thus we fix j∈N and let L=Lj be the operator defined by Lu=−div(A∇u), with A=Aj (see (3.22)), and set ω:=ωLX0.
As mentioned above A is uniformly elliptic with constant Λ0=max{ΛA,ΛA0}. Also, since L≡L0 in {Y∈Ω:δ(Y)<2−j}, the analogous step in part (a) showed, ω0≪ωL≪ω0 and
h(⋅;L,L0,X)∈Lloc∞(∂Ω,ωL0Y) for every X,Y∈Ω —the actual norm will depend on X, Y and j, but we will use this fact in a qualitative fashion. This qualitative control will be essential in the following steps. At the end of Step 3 we will have obtained the desired conclusion for the operator L=Lj, with constants independent of j∈N, which as observed above will allow us to complete the proof by Lemma 3.23.
3.3.2. Step 1
Consider an arbitrary surface ball Δ1=Δ(x1,r1) with x1∈45Δ0 and 0<r1≤105κ03c0r0, and let B1=B(x1,r1). Set
Δ⋆:=B⋆∩∂Ω with B⋆:=B(x⋆,r⋆) where x⋆=x1 and r⋆=2κ0r1 (hence Δ⋆=2κ0Δ1) satisfy x⋆∈45Δ0 and 0<r⋆≤105κ022c0r0. By (2.48), (2.49) we have
[TABLE]
Note also that 2κ0r⋆≤δ(X⋆)<r0. We claim that DΔ⋆⊂D∗∗Δ0:=⋃Q0∈D∗Δ0DQ0 (see (2.45) and (3.11)). To see this, let Q0∈DΔ⋆ and pick y⋆∈Q0∩2Δ⋆. Then
[TABLE]
hence y⋆∈23Δ0 and there exists a unique Q0∈D∗Δ0 such that y⋆∈Q0. Moreover, by construction
[TABLE]
and therefore Q0∈DQ0 as desired.
Set E(Y):=A(Y)−A0(Y), Y∈Ω, and consider γ={γQ}Q∈D∗∗Δ0
[TABLE]
Lemma 3.19 yields that for every Q0∈DΔ⋆, if Q0∈D∗Δ0 is selected so that Q0∈DQ0
[TABLE]
where the last inequality is our main assumption in the current scenario and ε is to be chosen.
We also set ω0⋆=ω0X⋆ and
γ⋆={γQ⋆}Q∈DΔ⋆ where
[TABLE]
Using (2.65) and Harnack’s inequality we have that ω0⋆(Q)≈ω0(Q)/ω0(Q0⋆). Hence, by (3.51)
We modify the operator L inside the region TΔ⋆ (see (2.46)), by defining L1=L1Δ⋆ as L1u=−div(A1∇u), where
[TABLE]
See Figure 5. Write ω1X=ωL1X for every X∈Ω and ω⋆=ωL1X⋆.
Recalling that A=Aj (see (3.22)), it is clear that E1:=A1−A0 verifies ∣E1∣≤∣E∣1TΔ⋆ and also E1(Y)=0 if δ(Y)<2−j (this latter condition will be used qualitatively). Hence much as before if write ω1X=ωL1X for every X∈Ω we have that ω1X≪ω0X for every X∈Ω and hence we can write h(⋅;L1,L0,X)=dω1X/dω0X which is well-defined ω0X-a.e. Also, as shown in Step 0 we have that h(⋅;L1,L0,X)∈Lloc∞(∂Ω,ω0Y) for every X,Y∈Ω (the bound depends on X,Y and the fixed j but we will use this qualitatively).
In order to simplify the notation, we recall (2.48), (2.49), and set Δ⋆:=21Δ⋆∗=Δ(x⋆,κ0r⋆) and let 0≤g∈Lp′(Δ⋆,ω0⋆) with ∥g∥Lp′(Δ⋆,ω0⋆)=1. Extend g by 0 in ∂Ω∖Δ⋆. Set gt=Ptg with 0<t<κ0r1/3 (see (3.12)).
It is easy to see that Δ⋆⊂23Δ0, hence Δ⋆ can be covered by the cubes in D∗Δ0. This and the fact that r⋆/3<c0r0/(16κ0) guarantee that Lemma 3.14 applies to give gt∈Lip(∂Ω) with supp(gt)⊂Δ⋆∗. We then consider
[TABLE]
Since Ω is bounded, we can use Lemma 3.7 (slightly moving X⋆ if needed). This, Lemma 3.9 with F=\mbox\O, (3.53), and Hölder’s inequality yield
[TABLE]
Using the well-known fact that MQ0,ω0⋆d is bounded on Lp(Q0,ω0⋆) and that, as mentioned before ω⋆≪ω0⋆ with h(⋅;L1⋆,L0,X⋆)=dω⋆/dω0⋆, it readily follows that
[TABLE]
On the other hand, given Q0∈DΔ⋆, let Q0∈D∗Δ0 be such that Q0⊂Q0. We claim that Δ⋆∗⊂2ΔQ0 and hence suppgt⊂2ΔQ0. Indeed, if y∈Δ⋆∗ and we recall that y⋆∈Q0∩2Δ⋆ we obtain
[TABLE]
thus y∈2ΔQ0 as desired. On the other hand, observe that X0∈Ω∖2κ0BΔ⋆∗=B(x⋆,2κ02r⋆), for otherwise we would get a contradiction:
[TABLE]
Hence Lemma 2.63 part (d) and Harnack’s inequality to pass from X⋆ to XΔ⋆∗
[TABLE]
After all these observations we use Harnack’s inequality to pass from X⋆ to XQ0 and from XQ0 to X0, Remark 2.64, the square-function non-tangential estimates from [2, Theorem 1.5, Proposition 2.57], and Lemmas 3.14 and 2.63 to conclude
[TABLE]
Plugging the obtained estimates into (3.54) we conclude that
[TABLE]
where we have used (2.49) and that DΔ⋆ has bounded cardinality, which follows from
ω0(Q0)≈ω0(Δ⋆) for every Q0∈DΔ⋆ and (2.49).
Using then the definitions of u0t and u1t we conclude that
[TABLE]
Fix Q0∈DΔ⋆, we showed before that if we pick Q0∈D∗Δ0 so that Q0⊂Q0, then Δ⋆∗⊂2ΔQ0. Recalling that 0≤g∈Lp′(Δ⋆,ω0⋆), with supp(g),supp(gt)⊂Δ⋆∗, then
(3.55) and Lemma 3.14 give
[TABLE]
Similarly, using also that as mentioned above ω1≪ω0 with h(⋅;L1,L0,X⋆)∈Lloc∞(∂Ω,ω0)
[TABLE]
Combining (3.56), (3.57), (3.58) and letting t→0+ we conclude that
[TABLE]
Taking now the sup over all 0≤g∈Lp′(Δ⋆,ω0⋆) with ∥g∥Lp′(Δ⋆,ω0⋆)=1 we eventually get
[TABLE]
Since h(⋅;L1,L0,X⋆)∈Lloc∞(∂Ω,ω0⋆) (albeit with bounds which may depend on X⋆ or j) we can hide the first term on the right hand side and eventually obtain fixing ε small enough (depending on n, the 1-sided NTA constants, the CDC constant, the ellipticity constants of L0 and L2, and on p)
[TABLE]
3.3.3. Step 2
Let us next define
[TABLE]
and set L2u:=−div(A2∇u). Note that L2≡L in Ω (see Figure 6). Since L≡L0 in {Y∈Ω:δ(Y)<2−j} we have already mentioned in Step 0 that ωL2=ωL and ωL0 are mutually absolutely continuous with
h(⋅;L,L0,X)∈Lloc∞(∂Ω,ωL0Y) for every X,Y∈Ω.
Note that by construction B1=2κ01B⋆. Besides, by (2.48), 2κ0B1∩Ω⊂45B⋆∩Ω⊂TΔ⋆ and since L≡L2≡L1 in TΔ0, Lemma 2.63 part (f) and Harnack’s inequality give that ωLX⋆ and ωL1X⋆=ω⋆ are comparable in Δ1, thus h(⋅;L1,L0,X⋆)≈h(⋅;L,L0,X⋆) for ω0⋆-a.e. y∈Δ1 (and also ω0-a.e.).
On the other hand using that as shown above X0∈Ω∖2κ0BΔ⋆∗⊂Ω∖2κ0B1 we can invoke Lemma 2.63 part (d) and Harnack’s inequality to see that
[TABLE]
for ω0-a.e. y∈Δ1 (recall that ωL and ω0 are mutually absolutely continuous).
This, the fact that Δ1⊂Δ⋆, (3.60) and Lemma 2.63 part (d) yield
[TABLE]
3.3.4. Step 3
Let us summarize what we have obtained up to this point. We fixed x0∈∂Ω and 0<r0<diam(∂Ω)/2, we set B0=B(x0,r0), Δ0=B0∩∂Ω, X0=XΔ0, and ω0=ωL0X0. We also fix 1<p<∞ and assumed that ∣∣∣ϱ(A,A0)∣∣∣B0<ε with ε small enough at our disposal. In Step 0 we took an arbitrary j and wrote L=Lj, (see (3.22)) and ω=ωLX0. For an arbitrary surface ball Δ1=Δ(x1,r1) with x1∈45Δ0 and 0<r1≤105κ03c0r0 we have obtained, combining Step 1 and Step 2, that provided ε is small enough (independently of j and Δ1) then (3.61) holds.
Our next goal is to see that (3.61) holds as well with 45Δ0 replacing Δ1. To do this
r=105κ03c0r0 and find a maximal collection of points {xk}k∈K⊂45Δ0 with respect to the property that ∣xk−xk′∣>2r/3 for every k,k′∈K with k=k′. Write
Δk=Δ(xk,r) and note that {31Δk}k∈K is a family of pairwise disjoint surface balls such that 45Δ0⊂⋃k∈KΔk⊂23Δ0. Note that since r≈r0 and xk∈45Δ0 it follows from Lemma 2.63 part (c) that
ω0(45Δ0)≈ω0(Δk) and ω(23Δ0)≈ω(45Δ0)≈ω(Δk)≈ω(31Δk) for every k∈K. Thus using (3.61) for every Δk (whose applicability is ensure by the facts that xk∈45Δ0 and rΔk=r=105κ03c0r0) it follows that
[TABLE]
We now have all the ingredients to show that ω∈RHp(45Δ0,ωL0) (uniformly in j) and to do this we let Δ=B∩∂Ω with B=B(x,r)⊂45B0 and x∈∂Ω. If rΔ<1<105κ03c0r0 then we can invoke (3.61) with Δ1=Δ and this gives us the desired estimate. Assume otherwise that rΔ≥1105κ03c0r0, hence rΔ≈r0 since B⊂45B0 implies that rΔ<45r0. In that scenario using that Δ⊂45Δ0 and that ω0(Δ)≈ω0(45Δ0), ω(Δ)≈ω(45Δ0) by Lemma 2.63 part (c) we obtain that (3.62) gives as desired
[TABLE]
All in one, we have shown that ω∈RHp(45Δ0,ωL0), where the implicit constant depends only on the allowable parameters and which is ultimately independent of j and Δ0. This, as argued in Step 0, permits us to show that ωL∈RHp(Δ0,ωL0) with the help of Lemma 3.23. The proof of Proposition 3.1, part (b) is then complete. ∎
4. Domains with Ahlfors-regular boundary
Throughout this section we assume that Ω⊂Rn+1, n≥2, is a 1-sided CAD (cf. Definition 2.9). This means that Ω is a 1-sided NTA domain (it satisfies the Corkscrew and Harnack Chain conditions) and ∂Ω is AR. As mentioned in Section 2.2, the latter condition implies that Ω satisfies the CDC, hence the theory we have developed in this paper applies to Ω. On the other hand, the fact that Ahlfors regularity condition says that the surface measure σ:=Hn∣∂Ω is a well-behaved object. The goal of this section is to show how some earlier perturbation results, valid in Lipschitz, NTA or 1-sided NTA settings, can be obtained easily from our results. Before giving the precise statements let us present some definition:
Definition 4.1** (Reverse Hölder and A∞ classes with respect to surface measure).**
Given p, 1<p<∞, we say that ωL∈RHp(∂Ω,σ), provided that ωL≪σ on ∂Ω, and there exists C≥1 such that, writing kL=dσdωL for the associated Radon-Nikodym, for every Δ0=B0∩∂Ω where B0=B(x0,r0) with x0∈∂Ω and 0<r0<diam(∂Ω)
[TABLE]
for every Δ=B∩∂Ω where B⊂B0, B=B(x,r) with x∈∂Ω, 0<r<diam(∂Ω). The infimum of the constants C as above is denoted by [ωL]RHp(∂Ω,σ).
We also define
[TABLE]
These are the results that we can reprove with our methods:
Corollary 4.2**.**
Let Ω⊂Rn+1, n≥2, be a 1-sided CAD.
Consider Lu=−div(A∇u) and L0u=−div(A0∇u) two real (non-necessarily symmetric) elliptic operators. Define the disagreement between A and A0 in Ω by
[TABLE]
where δ(X):=dist(X,∂Ω), and
[TABLE]
where Δ=B∩∂Ω, and the sup is taken over all balls B=B(x,r) with x∈∂Ω and 0<r<diam(∂Ω).
(a)
Assume that ∣∣∣ϱ(A,A0)∣∣∣σ<∞. If ωL0∈A∞(∂Ω,σ), then ωL∈A∞(∂Ω,σ). More precisely, if ωL0∈RHp(∂Ω,σ) for some p, 1<p<∞, then ωL∈RHq(∂Ω,σ) for some q, 1<q<∞. Here, q and [ωL]RHq(∂Ω,σ) depend only on dimension, the 1-sided CAD constants, the ellipticity constants of L0 and L, ∣∣∣ϱ(A,A0)∣∣∣σ, p, and [ωL0]RHp(∂Ω,σ).
(b)
If ωL0∈RHp(∂Ω,σ), for some p, 1<p<∞, there exists εp>0 (depending only on dimension, the 1-sided CAD constants, the ellipticity constants of L0 and L, p, and [ωL0]RHp(∂Ω,σ)) such that if ∣∣∣ϱ(A,A0)∣∣∣σ≤εp, then ωL∈RHp(∂Ω,σ). Here, [ωL]RHq(∂Ω,σ) depends only on dimension, the 1-sided CAD constants, the ellipticity constants of L0 and L, p, and [ωL0]RHp(∂Ω,σ).
Corollary 4.5**.**
Let Ω⊂Rn+1, n≥2, be a 1-sided CAD. Consider Lu=−div(A∇u) and L0u=−div(A0∇u) two real (non-necessarily symmetric) elliptic operators, and recall the definition of Aα(ϱ(A,A0)) in (1.11) for any given α>0.
(a)
Assume that Aα(ϱ(A,A0))∈L∞(σ). If ωL0∈A∞(∂Ω,σ), then ωL∈A∞(∂Ω,σ). More precisely, if ωL0∈RHp(∂Ω,σ) for some p, 1<p<∞, then ωL∈RHq(∂Ω,σ) for some q, 1<q<∞. Here, q and [ωL]RHq(∂Ω,σ) depend only on dimension, the 1-sided CAD constants, the ellipticity constants of L0 and L, α, ∥Aα(ϱ(A,A0))∥L∞(σ), p, and [ωL0]RHp(∂Ω,σ).
(b)
If ωL0∈RHp(∂Ω,σ), for some p, 1<p<∞, there exists εp>0 (depending only on dimension, the 1-sided CAD constants, the ellipticity constants of L0 and L, p, and [ωL0]RHp(∂Ω,σ)), such that if
Aα(ϱ(A,A0))∈L∞(σ) with ∥Aα(ϱ(A,A0))∥L∞(σ)≤εp, then ωL∈RHp(∂Ω,σ). Here, [ωL]RHp(∂Ω,σ) depends only on dimension, the 1-sided CAD constants, the ellipticity constants of L0 and L, α, p, and [ωL0]RHp(∂Ω,σ).
In the case of symmetric operators, part (b) of Corollary 4.2 has been proved for the unit ball in [12], for bounded CAD in [38], and for 1-sided CAD domains in [7]. On the other hand, part (a) of Corollary 4.2 can be found for Lipschitz domains in [18] and for bounded CAD in [38], both in the case of symmetric operators (but we would expect that similar arguments could be carried over to the non-symmetric case as well). The corresponding result in the setting of 1-sided CAD has been obtained in [7] for symmetric operators and then extended to the general case in [8]. Note then that Corollary 4.2 part (b) seems to be new in the case of non-symmetric operators in 1-sided CAD. Regarding Corollary 4.5, part (a) for symmetric operators was proved in [17] in the unit ball and in [38] in the setting of bounded CAD.
Before proving the previous results we need the following auxiliary lemma:
Lemma 4.6**.**
Let Ω⊂Rn+1 be a 1-sided CAD and consider Lu=−div(A∇u) and L0u=−div(A0∇u) two real (non-necessarily symmetric) elliptic operators. If ωL0∈A∞(∂Ω,σ) and ωL∈A∞(∂Ω,ωL0) then ωL∈A∞(∂Ω,σ). More precisely, if ωL0∈RHp(∂Ω,σ), 1<p<∞, and ωL∈RHq(∂Ω,ωL0), 1<q<∞, then ωL∈RHr(∂Ω,σ) with r=p+q−1pq∈(1,min{p,q}) and, moreover,
[TABLE]
Proof.
Fix Δ0=B0∩∂Ω where B0=B(x0,r0) with x0∈∂Ω and 0<r0<diam(∂Ω). Write ω0=ωL0XΔ0 and ω=ωLXΔ0. By definition ω0≪σ and ω≪ω0, hence ω≪σ.
Given Δ=B∩∂Ω where B⊂B(x0,r0), B=B(x,r) with x∈∂Ω, 0<r<diam(∂Ω), by Hölder’s inequality with exponent rq>1 we obtain
Assume that ωL0∈A∞(∂Ω,σ). Our first goal is to show that using the notation in (1.7) we have
[TABLE]
To see this we take some ideas from the proof of Theorem 1.10. Let D=D(∂Ω) be the dyadic grid from Lemma 2.34 with E=∂Ω.
For any Q∈D we set
[TABLE]
Fix B0=B(x0,r0) with x0∈∂Ω and 0<r0<diam(∂Ω). Let Δ=B∩∂Ω with B=B(x,r), x∈2Δ0, and 0<r<r0c0/4, here c0 is the Corkscrew constant. Write X0=XΔ0 and ω0=ωL0X0. Note that this choice guarantees that X0∈/4B. Define
[TABLE]
and for every I∈WB let XI∈I∩B so that 4diam(I)≤dist(I,∂Ω)≤δ(XI)<r and hence I⊂45B.
Pick xI∈∂Ω such that ∣XI−xI∣=δ(XI)≤diam(I)+dist(I,∂Ω) and let QI∈D be such that xI∈QI and ℓ(I)=ℓ(QI). By Lemma 2.63 parts (a)–(c), Harnack’s inequality and the fact that ∂Ω is AR one has
[TABLE]
Using this
[TABLE]
where we have used that by construction I⊂UQI∈WQI.
Note that ℓ(QI)=ℓ(I)<diam(QI)<r/4. Also if z∈QI, then by (2.36) and (2.39)
[TABLE]
and therefore QI⊂12ΞΔ. Write then FΔ={Q∈D:4r≤ℓ(Q)<2r,Q∩12ΞΔ=\mbox\O}, so that FΔ is a family of pairwise disjoint dyadic cubes with uniformly bounded cardinality and so that 12ΞΔ⊂∪Q∈FΔQ⊂13ΞΔ. By construction, if I∈WB, then QI⊂Q for some Q∈FΔ. Introducing the notation
We next estimate ∣∣∣γ∣∣∣ω0,Δ. Since we have assumed that ωL0∈A∞(∂Ω,σ), it follows that ωL0∈RHp(∂Ω,σ) for some p, 1<p<∞, then it is straightforward to see using Lemma 2.63 that ωL0XQ∈RHpdyadic(Q,σ) for every Q∈D (cf. Definition 2.25). In particular, for every Q′∈DQ with Q∈D and for every F⊂Q′ we have
[TABLE]
where C>1 is a uniform constant. Take then α=21, β=(2C[ωL0]RHp(∂Ω,σ))−p′∈(0,1), and apply Lemma 2.20 with μ=ωL0XQ and ν=σ to obtain
[TABLE]
where we have used that the family {UQ′}Q′∈D has bounded overlap, (2.47), the AR property of σ and (4.4). Invoke once again Lemma 2.63 and Harnack’s inequality to conclude that (4.8) along with the previous estimate readily yield
[TABLE]
Taking then the sup over all B and B0 as above we have shown that (4.7) holds.
With (4.7) at hand we are now ready to prove (a) and (b) in the statement. To prove (a) note that by assumption ∣∣∣ϱ(A,A0)∣∣∣σ<∞ and ωL0∈A∞(∂Ω,σ). Hence, (4.7) says that ∣∣∣ϱ(A,A0)∣∣∣<∞ and Theorem 1.5 part (a) yields ωL∈A∞(∂Ω,ωL0). In turn, Lemma 4.6 implies that ωL∈A∞(∂Ω,σ) as desired.
To prove (b) we proceed as follows. Assume that ωL0∈RHp(∂Ω,σ). By Gehring’s lemma [21] (see also [10]) there exists s>1 such that ωL0∈RHps(∂Ω,σ). Set q:=s−1sp−1>1 and note that by (4.7) and Theorem 1.5 part (b) we can find εp>0 sufficiently small (depending only on dimension, the 1-sided CAD constants, the ellipticity constants of L0 and L, p, and [ωL0]RHp(∂Ω,σ)) so that if ∣∣∣ϱ(A,A0)∣∣∣σ<ϵp then ωL∈RHq(∂Ω,ωL0). If we apply Lemma 4.6 with ps and our choice of q we conclude that ωL∈RHr(∂Ω,σ) where
r=ps+q−1psq=p. This completes the proof.
∎
Note first that in both cases (a) and (b), the fact that ωL0∈A∞(∂Ω,σ) implies ωL0≪σ. On the other hand, since the A∞ property is symmetric we clearly have that σ≪ωL0. It is important to emphasize that by Harnack’s inequality ωLX≪ωLY for every X,Y∈Ω, hence we do not need to specify the pole in ωL. All these show that ∥⋅∥L∞(σ)=∥⋅∥L∞(ωL0).
To prove (a) we then observe that the assumption Aα(ϱ(A,A0))∈L∞(σ) gives at once that Aα(ϱ(A,A0))∈L∞(ωL0) and by Theorem 1.10 part (a) we conclude that ωL∈A∞(∂Ω,ωL0). This, the fact that ωL0∈A∞(∂Ω,σ), and Lemma 4.6 readily gives that ωL∈A∞(∂Ω,σ) as desired.
To prove (b) we proceed much as in the corresponding case in the proof of Corollary 4.2. Assume that ωL0∈RHp(∂Ω,σ) and invoke once again Gehring’s lemma to find s>1 such that ωL0∈RHps(∂Ω,σ). Set q:=s−1sp−1>1 and note that if ∥Aα(ϱ(A,A0))∥L∞(σ)=∥Aα(ϱ(A,A0))∥L∞(ωL0) is sufficiently small, Theorem 1.10 part (b) says that ωL∈RHq(∂Ω,ωL0). We next apply Lemma 4.6 with ps and our choice of q to conclude that ωL∈RHp(∂Ω,σ) much as we did before.
∎
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