Gradient continuity estimates for the normalized $p$-Poisson equation
Agnid Banerjee, Isidro H. Munive

TL;DR
This paper establishes gradient continuity estimates for solutions of the normalized p-Poisson equation, improving previous regularity results and introducing a non-variational method based on phase separation.
Contribution
It provides new gradient continuity estimates in terms of the Riesz potential and extends $C^{1,eta}$ regularity results without the previous restrictions on p and m.
Findings
Gradient estimates in terms of the $L(n,1)$ norm of $f$.
$C^{1,eta}$ regularity for $f otin L^{m}$ with $m>n$.
A non-variational approach based on phase separation.
Abstract
In this paper, we obtain gradient continuity estimates for viscosity solutions of in terms of the scaling critical norm of , where is the normalized Laplacian operator defined in (1.2) below. Our main result, Theorem 2.2, corresponds to the borderline gradient continuity estimate in terms of the modified Riesz potential . Moreover, for with , we also obtain estimates, see Theorem 2.3 below. This improves one of the regularity results in [3], where a estimate was established depending on the norm of under the additional restriction that and (see Theorem 1.2 in [3]). We also mention that differently from the approach in [3], which uses methods from divergence form theory and nonlinear potential theory in the proof ofā¦
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Gradient continuity estimates for the normalized poisson equation
Agnid Banerjee
Tata Institute of Fundamental Research
Centre For Applicable Mathematics
Bangalore-560065, India
Ā andĀ
Isidro H. Munive
Instituto de MatemƔticas, MƩxico
Abstract.
In this paper, we obtain gradient continuity estimates for viscosity solutions of in terms of the scaling critical norm of , where is the normalized Laplacian operator defined in (1.2) below. Our main result, Theorem 2.2, corresponds to the borderline gradient continuity estimate in terms of the modified Riesz potential . Moreover, for with , we also obtain estimates, see Theorem 2.3 below. This improves one of the regularity results in [3], where a estimate was established depending on the norm of under the additional restriction that and (see Theorem 1.2 in [3]). We also mention that differently from the approach in [3], which uses methods from divergence form theory and nonlinear potential theory in the proof of Theorem 1.2, our method is more non-variational in nature, and it is based on separation of phases inspired by the ideas in [36]. Moreover, for continuous, our approach also gives a somewhat different proof of the regularity result, Theorem 1.1, in [3].
2010 Mathematics Subject Classification:
Primary 35J60, 35D40.
First author is supported in part by SERB Matrix grant MTR/2018/000267
Second author is supported by CONACYT grant 265667, Instituto de MatemƔticas, UNAM
Contents
1. Introduction
The aim of this paper is to obtain pointwise gradient continuity estimates for viscosity solutions of
[TABLE]
in terms of the scaling critical norm of . Here, denotes the normalized Laplace operator given by
[TABLE]
The fundamental role of these borderline, or end-point regularity, estimates in the theory of elliptic and parabolic partial differential equations is well known. In order to put our result in the correct historical perspective, we note that in 1981, E. Stein in his visionary work [34] showed the following.
Theorem 1.1**.**
Let denote the standard Lorentz space, then the following implication holds:
[TABLE]
The Lorentz space appearing in Theorem 1.1 consists of those measurable functions satisfying the condition
[TABLE]
Theorem 1.1 can be regarded as the limiting case of Sobolev-Morrey embedding that asserts
[TABLE]
Note that indeed for any , with all the inclusions being strict. Now Theorem 1.1 coupled with the standard Calderon-Zygmund theory has the following interesting consequence.
Theorem 1.2**.**
* is continuous.*
The analogue of Theorem 1.2 for general nonlinear, and possibly degenerate elliptic and parabolic equations, has become accessible not so long ago through a rather sophisticated and powerful nonlinear potential theory (see for instance [15, 26, 27] and the references therein). The first breakthrough in this direction came up in the work of Kuusi and Mingione in [25], where they showed that the analogue of Theorem 1.2 holds for operators modelled after the -Laplacian. Such a result was subsequently generalized to -Laplacian-type systems by the same authors in [28].
Since then, there has been several generalizations of Theorem 1.2 to operators with various kinds of nonlinearities. In the context of fully nonlinear elliptic equations, the analogue of Theorem 1.2 was established by Daskalopoulos-Kuusi-Mingione in [14]. More precisely, they showed the following (see Theorem 1.1 in [14]).
Theorem 1.3**.**
Let be a viscosity solution of
[TABLE]
where is uniformly elliptic fully nonlinear operator and . Then, there exists , depending only on and the ellipticity constants of , such that if has -BMO coefficients, then is continuous in the interior of . Moreover, the following estimates hold for some and ,
[TABLE]
whenever . Here is the \saymodified Riesz potential defined by
[TABLE]
and .
Before proceeding further, we make the following important remark.
Remark 1**.**
The reader should note that from the Hardy-Littlewood rearrangement inequality (see for instance [14]) we have that
[TABLE]
where is defined as
[TABLE]
with being the radial non-increasing rearrangement of . Now, when , we have from an equivalent characterization of Lorentz spaces that
[TABLE]
Therefore, it follows from the inequalities in (1.6) and (1.7) that when and , as . Consequently, the gradient continuity follows from the estimates in (1.4) above.
We also refer to the recent work [2] of one of us and Adimurthi where an analogous regularity result has been obtained under Dirichlet boundary conditions when the domain is . The result was established using Caffarelli style compactness arguments as in [9].
In this paper we establish a similar estimate as in (1.4) above when the fully nonlinear operator gets replaced by the normalized Laplacian operator . In order to provide the reader with the right viewpoint concerning our approach, we note that getting regularity result in general amounts to show that the graph of can be touched by an affine function so that the error is of order in a ball of radius for every small enough. The proof of this is based on iterative argument where one ensures improvement of flatness at every successive scale by comparing to a solution of a limiting equation with more regularity. At each step, via rescaling, it reduces to show that if solves (1.1) in , then the oscillation of is strictly smaller in a smaller ball upto a linear function. This is accomplished via compactness arguments which crucially relies on apriori estimates. Such estimates in the context of come from the Krylov-Safonov theory because the equation (1.1) lends itself to a uniformly elliptic structure.
Now, for a that solves (1.1), we have that is a solution of the following perturbed equation
[TABLE]
Therefore, in order to obtain improvement of flatness at each scale after a rescaling, it is imperative to get uniform type estimates independent of for the limiting equations corresponding to the case . This is precisely done in [3] by an adaptation of the Ishii-Lions approach as in [20], where the authors obtained uniform Lipschitz estimates for solutions to (1.8) for large when . In this paper, we follow an approach which is different from that in [3]. Our proofs of Theorem 2.2 and Theorem 2.3 are based instead on separation of the degenerate and the non-degenerate phase, and do not rely on the uniform Lipschitz estimates for equations of the type (1.8) for large . This is inspired by ideas in [36], where an alternate proof of regularity for the Laplacian was given. Moreover, in the case of continuous , our method also provides a different proof of the regularity result for (1.1) established in [3] (see also [4] for ). We believe that this alternate viewpoint would definitely be of independent interest.
Finally, we mention that over the last decade, there has been a growing attention on equations of the type (1.1) because of their connections to tug-of-war games with noise. This aspect was first studied in [33] . In recent times, the parabolic normalized Laplacian, as well as its degenerate and singular variants, have been studied in various contexts in a number of papers, see [1, 22, 13, 5, 6, 7, 18, 32, 19, 23, 21, 31]. Such equations have also found applications in image processing (see for instance [13]).
The paper is organized as follows. In Section 2 we introduce some basic notations, list some preliminary results, and then state our main theorems. In Section 3 we first establish approximation lemmas that play a crucial role in the separation of phases in the iterative argument in the proof of our main results. We then subsequently establish our main results Theorem 2.2 and Theorem 2.3. In closing, we would like to mention that it remains to be seen whether one can obtain similar borderline estimates for more general equations of the type
[TABLE]
with appropriate restrictions on the parameter . This seems to be an interesting open question to which we would like to come back in a future study.
2. Notations, Preliminaries and statement of the main results
We denote points in by etc. We let be the norm of , and will denote the Lebesgue measure of . Let . When , we will ocassionally denote such a set by . By , we will denote the boundary of the set . We will also denote by the space of symmetric matrices. In our ensuing discussion, at times we will be using the notation to indicate the integral average of a function over a set .
We now fix an exponent , where (denoted by in [16]) is a small universal constant as obtained in [16], such that the Krylov-Safanov type Hƶlder estimate holds for functions which belong to extremal Pucci class in the viscosity sense. Here
[TABLE]
, and is the set of all functions which solves in the viscosity sense (we refer to [10] for the precise notion of viscosity solutions)
[TABLE]
The operators and are the minimal and maximal Pucci operators, respectively, defined in the following way
[TABLE]
We now turn our attention to the relevant notion of solution to (1.1). For and , following [8], we define
[TABLE]
Then as in [11], the lower semicontinuous relaxation is defined as follows
[TABLE]
while the upper semicontinuous relaxation is defined as
[TABLE]
Definition 2.1**.**
We say that is a viscosity sub-solution of (1.1) in a domain if given such that has a local maximum at , then one has
[TABLE]
In an analogous way, the notion of viscosity supersolution of (1.1) is defined using instead of , and where gets replaced by in the equation (2.6) above. Finally, we say that is a viscosity solution to (1.1) if it is both a subsolution and a supersolution. It is easy to deduce that if is a viscosity solution to (1.1), then belongs to the Pucci class in the viscosity sense where are as in (2.1). Hence, satisfies universal Hƶlder estimates as in [16], which depend on and .
2.1. Statement of the main results
We now state our first main result. This result corresponds to the regularity estimate in the borderline case, i.e., gradient continuity estimates with dependence on the norm of .
Theorem 2.2**.**
For a given , let be a viscosity solution of (1.1) in where . Then is continuous inside of . Moreover, the following borderline estimates hold
[TABLE]
whenever , and where .
In the case with , we obtain the following regularity result that improves Theorem 1.2 in [3].
Theorem 2.3**.**
For and , let be a viscosity solution of (1.1) in , where . Then, for some . Moreover, we have that the following estimate holds,
[TABLE]
3. Proof of the main results
3.1. Proof of Theorem 2.2
We now fix a universal parameter which plays a crucial role in our compactness arguments. Let be the optimal Hƶlder exponent such that any arbitrary solution of
[TABLE]
The fact that follows from the regularity results in [12], [29] and [35]. We then fix some such that
[TABLE]
We now state our first relevant approximation lemma which plays a very crucial role in the separation of phases. This is analogous to Lemma 2.3 in [36].
Lemma 3.1**.**
Let be a viscosity solution of
[TABLE]
with , and . Given , there exists such that if
[TABLE]
then for some with universal bounds depending only on and independent of , we have that
[TABLE]
Proof.
We argue by contradiction. If not, then there exists and a sequence of pairs that solves (3.2) corresponding to with \delta_{k}\to 0,f_{k}\to 0\ \text{in L^{q}(B_{3/4})} as and such that are not close to any such . We note that the equation satisfied by can be rewritten as
[TABLE]
where and . Since , we have as .
From the Krylov-Safonov-type estimates as in [16], we now observe that ās are uniformly Hƶlder continuous in . Therefore, upto a subsequence, by Arzela-Ascoli we may assume that uniformly on and, moreover, we can also assume that (by possibly passing to another subsequence) such that .
We now make the following claim.
Claim: solves
[TABLE]
By standard theory, it suffices to check that is a viscosity solution to the above limiting equation. We note that the stability result in Theorem 3.8 in [10] can not be directly applied here, because of the singular dependence of the operator in the \saygradient variable. We, however, show that the proof of Theorem 3.8 can still be adapted in this situation. Let be a function such that the graph of strictly touches the graph of from above at . We show that at ,
[TABLE]
Suppose that is not the case. Then, there exists small enough such that
[TABLE]
We now show that for every , there exists perturbed test functions with such that
[TABLE]
where is the upper semicontinuous relaxation of the operator in (3.4). Moreover, we can also ensure that has a minimum in for large enough . This would then contradict the viscosity formulation for for such and hence (3.6) would follow.
Therefore, under the assumption that (3.7) holds, we now show the validity of (3.8). We first observe that from (3.7), the following differential inequality holds,
[TABLE]
where and are as in (2.1). This inequality above follows by adding and subtracting \bigg{(}\delta_{ij}+(p-2)(A_{0})_{i}(A_{0})_{j}\bigg{)}\phi_{ij}, by using (3.7), and then by splitting the considerations depending on whether
[TABLE]
We now let be a strong solution to the following boundary value problem
[TABLE]
The existence of such strong solutions is guaranteed by Corollary 3.10 in [10]. Therefore, with such , we have that (3.8) holds.
We now observe that since in and also , from the generalized maximum principle, as in [10], we have that
[TABLE]
Now, since has a strict minimum at , it follows for large that has a minimum in the inside of (since on and on ). From this, as we mentioned before, (3.6) follows.
Then, by an analogous argument we would have that the opposite inequality holds in (3.6), when instead the graph of touches the graph of from below at and consequently it follows that solves (3.5). Moreover, since , we have from the classical theory that is smooth with universal bounds in . This would then be a contradiction for large enough s since uniformly. This finishes the proof of the lemma.
ā
As a consequence of Lemma 3.1, we have the following result on the affine approximation of at [math], provided there is a sufficiently large non-degenerate slope at a certain scale. As the reader will see, such is ensured by the fast geometric convergence of the approximations.
Lemma 3.2**.**
Let be a viscosity solution of
[TABLE]
with . Then, there exists a universal such that if for some , satisfying , we have
[TABLE]
and also
[TABLE]
then there exists an affine function such that
[TABLE]
Here and is the universal parameter as in (3.1). Moreover can be chosen independent of . In view of Remark 1, we note that for , we have that as .
Proof.
We will show that for for every , there exist linear functions such that
[TABLE]
for some universal, independent of . Here we let for a given ,
[TABLE]
with defined in the following way
[TABLE]
We note that is to be fixed later. We also let . Now, suppose exists upto some with the bounds as in (3.12). Then, we observe that
[TABLE]
In the last inequality above we also used the fact that
[TABLE]
Note that the last inequality in (3.15) is a consequence of the following estimate
[TABLE]
which in turns follows by breaking the integral in the above expression into integrals over dyadic subintervals of the type .
Thus the estimate in (3.14) ensures that the non-degeneracy condition in Lemma 3.1 holds for every . We prove the claim in (3.12) by induction. From the hypothesis of the lemma, the case when is easily verified with with our choice of . Let us now assume that the claim as in (3.12) holds upto some . We then consider
[TABLE]
which solves
[TABLE]
Now, by a change of variable formula and the definition of it follows that, with
[TABLE]
we have
[TABLE]
Moreover,
[TABLE]
Therefore, satisfies an equation for which the conditions in Lemma 3.1 are satisfied. Consequently for a given , we can find such that for some with universal bounds we have that . Now since has uniform bounds and , there exists a universal such that
[TABLE]
where is the linear approximation for at [math]. We then choose small enough such that
[TABLE]
where is as in (3.1). Subsequently, we let which decides the choice of . Then, by an application of triangle inequality we have,
[TABLE]
Consequently by scaling back to we obtain
[TABLE]
where \tilde{L}_{k+1}(x)\doteq\tilde{L}_{k}+r^{k}\omega(r^{k})L\bigg{(}\frac{x}{r^{k}}\bigg{)}. Note that in the last inequality in (3.18) we also used the following decreasing property of
[TABLE]
which is easily seen from the expression of as in (3.13) (see also the proof of Lemma 4.7 in [2]). This verifies the induction step. The conclusion now follows by a standard analysis argument as in the proof of Lemma 4.9 in [2].
ā
The next result is an improvement of flatness result that allows to handle the case when the affine approximation have small slopes at a \sayth step. This corresponds to the degenerate alternative in the iterative argument in the proof of the main result Theorem 2.2.
Lemma 3.3**.**
Let be a solution to
[TABLE]
with and . There exists a universal such that if
[TABLE]
then there exists an affine function , with universal bounds, and a universal such that
[TABLE]
Here is as in Lemma 3.2 above. Without loss of generality we may take .
Proof.
First note that (3.21) implies that
[TABLE]
We first show that given , there exists such that if solves (3.20) and satisfies the bound in (3.21), then there exists a harmonic function such that
[TABLE]
Assume that (3.22) actually holds. It then follows from the regularity results for -harmonic functions in [12], [29] and [35] that there exists an affine function such that
[TABLE]
We now choose such that
[TABLE]
Subsequently, we choose , and this decides the choice of . The conclusion of the lemma now follows by an application of the triangle inequality.
We are now going to prove (3.22). Then there exists and a sequence of pairs which solves (3.20) with satisfying (3.21) ( with ) such that is not close to any such . Then from uniform Krylov-Safanov type Hƶlder estimates as in [16] and Arzela-Ascoli, it follows that uniformly in upto a subsequence. We amke the following claim.
Claim: is harmonic.
Once the claim is established, this would then be a contradiction for large enough ās and thus (3.22) would follow.
The proof is similar to that of the Claim in Lemma 3.1. As before, we note that the stability result in Theorem 3.8 in [10] cannot be directly applied because the operator does not satisfy the structural assumptions in [10] because of singular dependence in the \saygradient variable. We first observe that it follows from [24] that in order to show that is harmonic, it suffices to show that satisfies the viscosity formulation at points where the gradient of the test function does not vanish.
Let be a test function which strictly touches the graph of from above at some point such that . We claim that
[TABLE]
Suppose such is not the case. Then there exists small enough such that
[TABLE]
Moreover, we can also assume that in , we have that
[TABLE]
We now show that for every , there exists perturbed test functions with such that
[TABLE]
Moreover, we can also ensure that has a minimum in for large enough . This would then contradict the viscosity formulation for , and hence (3.23) would follow. In an entirely analogous way, we will have that if a test function strictly touches from below at then
[TABLE]
and consequently we can assert from the results in [24] that is -harmonic.
Hence under the assumption that (3.24) is valid, we now turn our attention to establish (3.26). We first observe that because of (3.24), (3.25), the following inequality holds,
[TABLE]
with as in (2.1). Here is the maximal Pucci operator defined as in (2.3). This inequality again follows by adding and subtracting , by using (3.24) and then by splitting considerations depending on whether
[TABLE]
At this point, given , we look for which is a strong solution to
[TABLE]
The existence of such strong solutions is again guaranteed by Corollary 3.10 in [10]. Moreover since in , therefore from the generalized maximum principle we have that
[TABLE]
Now since has a strict minimum at , it follows that for large that would have a minimum in the inside of ( since on and on ). However because of (3.27) and (3.28) we also have that (3.26) holds which violates the viscosity formulation for ās for large enough . Thus in view of our discussion above, we can assert that is harmonic and this concludes the proof.
ā
With this Lemma 3.2 and Lemma 3.3 in hand, we now proceed with the proof of our main result.
Proof of Theorem 2.2.
We will show that there exists an affine function such that
[TABLE]
where is defined as
[TABLE]
, and some universal .
Likewise a similar affine approximation holds at all points in and consequently the estimates in (2.7) follow by a standard real analysis argument.
We may assume that . Now with as in lemma 3.3 and as in lemma 3.2, assume the following hypothesis for a given ,
[TABLE]
Here is defined instead as
[TABLE]
where we let to be
[TABLE]
By multiplying with a suitable constant we can assume that the Statement holds when with . Let be the first integer such that the Statement breaks. Then there are two possibilities.
Case 1: Suppose . Then let given , let be such that . Then from the inequalities in and triangle inequality, it follows that
[TABLE]
and thus (3.29) follows with . The last inequality in (3.31) is seen as follows:
[TABLE]
Case 2: Suppose instead that . Then we have that the Statement is satisfied upto . Now let
[TABLE]
which solves
[TABLE]
Moreover, from the estimates in (3.1) for it follows that . Also by change of variable, we have that for , the following holds,
[TABLE]
Here we have used also that
[TABLE]
Hence, solves an equation of the type (1.1) such that the hypothesis in Lemma 3.3 is satisfied. Therefore, by applying Lemma 3.3, we obtain that there exists an affine function such that
[TABLE]
Scaling back to , we obtain with , where , that
[TABLE]
where in the last inequality, we used the decreasing property of (as in (3.19)). This property is easily seen from the expression of in (3.30). However, since the Statement does not hold for , we must necessarily have
[TABLE]
We now let
[TABLE]
Then, we observe that solves
[TABLE]
Moreover, from (3.34) we have, with
[TABLE]
that the following inequality holds
[TABLE]
Moreover, using that , where is universal, and the decreasing property of , we obtain
[TABLE]
Also (3.35) implies
[TABLE]
Now again by change of variables it is seen that , defined by
[TABLE]
satisfies the estimate as in (3.33). Now using the fact that , we find that satisfies the conditions in Lemma 3.2. Hence, there exists an affine function , with universal bounds depending on ( more specifically on ), such that
[TABLE]
where with as in (3.39). Then, by scaling back to , letting as our new , we obtain for that the following holds by change of variables,
[TABLE]
Now, let be the smallest integer such that . Then, we have that
[TABLE]
where the last inequality in (3.42) follows from a computation as in (3.32). This implies that (3.29) holds with , when .
Now when , one can show that
[TABLE]
This follows from the fact that with we have for ,
[TABLE]
and
[TABLE]
because (3.1) holds upto . And moreover for , we again have
[TABLE]
In this case, instead the following bound holds
[TABLE]
Using such estimates, it is easy to see that (3.43) holds. Now note that with , with , we also have the following bound
[TABLE]
Therefore, it follows from (3.43) and the estimate (3.44) above that
[TABLE]
also holds when , for a possibly different . Hence the estimate in (3.29) follows with and this finishes the proof of the theorem.
ā
3.2. Proof of Theorem 2.3
In this subsection, we assume that is a viscosity solution to
[TABLE]
where for some . We now state and prove the counterparts of the approximation lemmas in this situation. The analogue of Lemma 3.1 is as follows.
Lemma 3.4**.**
Let be a viscosity solution to
[TABLE]
with and . Given , there exists such that if
[TABLE]
then for some satisfying with universal bounds depending only on and independent of .
Proof.
The proof is identical to that of Lemma 3.1 and so we omit the details.
ā
We now state the counterpart of Lemma 3.2.
Lemma 3.5**.**
Let be a viscosity solution to
[TABLE]
in with . Then there exists a universal , such that if for some satisfying we have
[TABLE]
and also
[TABLE]
then there exists an affine function such that
[TABLE]
where . Moreover, can be chosen independent of .
Proof.
As in the proof of Lemma 3.2, we show that for every , there exists affine functions such that
[TABLE]
for some universal independent of . The conclusion of the lemma then follows from (3.49) in a standard way. We first observe that (3.49) holds for with . Moreover the non-degeneracy condition as in (3.14) is easily verified in this situation provided is small enough. Now assume (3.49) holds upto some . We then define
[TABLE]
Then solves in
[TABLE]
where is defined as
[TABLE]
Now by change of variable it is seen that
[TABLE]
Note that over here, we crucially used the hypothesis of the lemma i.e,
[TABLE]
and the fact that . Therefore, satisfies the hypothesis of Lemma 3.4 and at this point we can repeat the arguments in the proof of Lemma 3.2 to conclude that there exists , where has universal bounds such that (3.49) holds for . This verifies the induction step and the conclusion of the lemma thus follows.
ā
We also have the following lemma which is the analogue of Lemma 3.3.
Lemma 3.6**.**
Let be a solution of
[TABLE]
with and . There exists a universal such that if
[TABLE]
then there exists an affine function with universal bounds and a universal such that
[TABLE]
where is as in Lemma 3.5 above. Without loss of generality we may take .
Proof.
The proof is again identical to that of Lemma 3.3 and thus we skip the details.
ā
With Lemmas 3.4ā3.6 in hand, we now proceed with the proof of Theorem 2.3.
Proof of Theorem 2.3.
It suffices to show that at [math], there exists an affine function with universal bounds such that
[TABLE]
We also assume that . Now with as in Lemma 3.6 and as in Lemma 3.5, assume the following hypothesis for a given ,
[TABLE]
By multiplying with a suitable constant, we may assume that the hypothesis holds for with . We can also assume that
[TABLE]
Let be the smallest integer such that (3.53) fails. Then as in the proof of Theorem 2.2, there are two possibilities.
Case 1: Suppose . Then in this case, (3.52) is seen to hold with .
Case 2: Suppose instead that . Then we have that the hypothesis is satisfied upto . As before, we let
[TABLE]
which solves in
[TABLE]
where
[TABLE]
Then by change of variable and (3.54), it is again seen that . Moreover, from (3.53) and triangle inequality it follows that . Thus the hypothesis of Lemma 3.6 is satisfied and consequently there exists affine such that
[TABLE]
By scaling back to , we obtain with , with , that the following holds,
[TABLE]
However since Statement fails, we must necessarily have
[TABLE]
If we now let
[TABLE]
then, as in the proof of Theorem 2.2, it can be easily checked that solves an equation of the type (1.1) such that the hypothesis of Lemma 3.5 is verified. Hence there exists an affine function , with universal bounds depending on , such that
[TABLE]
By scaling back to we obtain that, with , the following estimate holds for ,
[TABLE]
The rest of the argument is again the same as in the proof of Theorem 2.2, which allows us to conclude that the estimate (3.55) holds also when . This finishes the proof of the theorem.
ā
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