The sharp quantitative isocapacitary inequality
Guido De Philippis, Michele Marini, Ekaterina Mukoseeva

TL;DR
This paper establishes a precise quantitative relationship between the capacity difference of a set and a ball of equal volume and the set's asymmetry, confirming a longstanding conjecture.
Contribution
It proves a sharp quantitative form of the isocapacitary inequality, linking capacity difference to Fraenkel asymmetry, and resolves a conjecture from 1991.
Findings
Capacity difference bounds the square of Fraenkel asymmetry.
Provides a positive answer to a 1991 conjecture.
Sharp inequality with optimal constants.
Abstract
We prove a sharp quantitative form of the classical isocapacitary inequality. Namely, we show that the difference between the capacity of a set and that of a ball with the same volume bounds the square of the Fraenkel asymmetry of the set. This provides a positive answer to a conjecture of Hall, Hayman, and Weitsman (J. d' Analyse Math. '91).
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The sharp quantitative isocapacitary inequality
Guido De Philippis
G.D.P.: SISSA, Via Bonomea 265, 34136 Trieste, Italy
,
Michele Marini
M.M: SISSA, Via Bonomea 265, 34136 Trieste, Italy
and
Ekaterina Mukoseeva
E.M: SISSA, Via Bonomea 265, 34136 Trieste, Italy
Abstract.
We prove a sharp quantitative form of the classical isocapacitary inequality. Namely, we show that the difference between the capacity of a set and that of a ball with the same volume bounds the square of the Fraenkel asymmetry of the set. This provides a positive answer to a conjecture of Hall, Hayman, and Weitsman (J. d’ Analyse Math. ’91).
Key words and phrases:
Isocapacitary inequality, stability estimates, Fraenkel asymmetry
2010 Mathematics Subject Classification:
49R05 (47A75 49Q20)
1. Introduction
1.1. Background
Let , be an open set. We define the * absolute capacity* of as
[TABLE]
Moreover, for ( the ball of radius centered at the origin) we denote by the relative capacity of with respect to defined as
[TABLE]
It is easy to see that for problem (1.1) (resp. (1.2)) there exists a unique function111Here and in the sequel, denotes the closure of with respect to the homogeneous Sobolev norm:
see [EG15, Section 4.7] and [LL97, Chapter 8] (resp. ) called capacitary potential of such that
[TABLE]
Moreover, they satisfy the Euler-Lagrange equations:
[TABLE]
The well-known isocapacitary inequality (resp. relative isocapacitary inequality) asserts that, among all sets with given volume, balls (resp. ball centered at the origin) have the smallest possible capacity, namely
[TABLE]
Here is such that , where denotes the Lebesgue measure.
The proof is an easy combination of Schwarz symmetrization with Pólya-Szegö principle. Indeed, let be an open set and let be its capacitary potential. Schwarz symmetrization provides us with a radially symmetric function such that, for every ,
[TABLE]
We use as a test function for the set and we note that (1.4) yields that ). Hence
[TABLE]
where the second inequality follows by Pólya-Szegö principle. The very same argument applies to the relative isocapacitary inequality.
Inequalities (1.3) are rigid, namely, equality is attained only when coincides with a ball, up to a set of zero capacity. For the case of the relative isocapacitary inequality must instead coincide with a centered ball, since this latter notion of capacity is not invariant under translations.
It is natural to wonder whether these inequalities are also stable, that is , whenever . In particular, one aims to a (possibly sharp) quantitative enhancement of inequalities (1.3) by replacing their right-hand side with some function of the distance of from the set of balls.
As we shall explain in the following sections, the answer is positive, and a good choice of distance is the so-called Fraenkel asymmetry.
Definition 1.1**.**
Let be an open set. The Fraenkel asymmetry of , , is defined as:
[TABLE]
To the best of our knowledge, the first results in this direction appeared in [HHW91] where they considered the case of simply connected planar sets 222Note that for the infimum (1.1) is [math] and one has to use the notion of logarithmic capacity. and of convex sets in general dimension. In the same paper the authors conjecture the validity of the following inequality:
Conjecture 1.2** ([HHW91]).**
Let . There exists a constant such that for any open set the following inequality holds:
[TABLE]
Note that by testing the inequality on ellipsoids with eccentricity one easily sees that the exponent can not be replaced by any smaller number.
A positive answer to the above conjecture in dimension has been given by Hansen and Nadirashvili in [HN92]. For general dimension, the best known result is due to Fusco, Maggi, and Pratelli in [FMP09] where they prove the following:
Theorem 1.3** ([FMP09]).**
There exists a constant such that, for any open set
[TABLE]
In this paper we provide a positive answer to Conjecture 1.2 in every dimension and to its version for the relative capacity.
1.2. Main result
The following is the main result of the paper, note that by the scaling , we can also get the analogous result for with arbitrary volume.
Theorem 1.4**.**
Let be an open set such that . Then
- (A)
if is contained in , there exists a constant such that the following inequality holds:
[TABLE] 2. (B)
there exists a constant such that the following inequality holds:
[TABLE]
Note that in the above theorem, in the case of the absolute capacity one bound the distance of from the set of balls, while in the case of the relative capacity one bounds the distance from the ball centered at the origin but the constant is dependent. Indeed in the former case all balls have the same capacity (due to the translation invariance of the problem) and thus in order to obtain a quantitative improvement, one has to measure the distance from the set of all minimizers. On the contrary, for the relative capacity, the ball centered at the origin is the only minimizer. Since
[TABLE]
it is clear that the constant in (B) above needs to depend on . This can also be inferred by the study of the linearized problem, see Section 2.2 below. We also remark that, as it will be clear from the proof, in the case of the relative capacity one can replace with the bigger quantity defined in Section 2.2 below.
1.3. Strategy of the proof and structure of the paper
Since the isocapacitary inequality is a consequence of the isoperimetric inequality, a reasonable strategy to obtain a quantitative improvement would be to rely on a quantitative isoperimetric inequality. This was indeed the strategy used in [FMP09] where they rely on the quantitative isoperimetric inequality established in [FMP08]. However, although the inequality proved in [FMP08] is sharp, in order to combine it with the Schwarz symmetrization procedure, it seems unavoidable to lose some exponent and to obtain a result in line with the one in [FMP09].
Here we instead rely on the techniques developed by the first author with Brasco and Velichkov in [BDPV15] to obtain a quantitative form of the Faber-Krahn inequality (see also [BDP17] and references therein for a survey on these type of results). The proof is based on the Selection Principle, introduced by Cicalese and Leonardi in [CL12] to give a new proof of the sharp quantitative isoperimetric inequality, combined with the regularity estimates for free boundary problems obtained by Alt and Caffarelli in [AC81]. As in [BDPV15], one of the key technical tools is to replace the Fraenkel asymmetry (which roughly resembles a type norm) with a smoother (and stronger) version inspired by the distance among sets first used by Almgren Taylor and Wang in [ATW93] which resembles an type norm, see Section 2.2 for the exact definition.
We conclude this introduction by giving an account of the main steps of the proof and of the structure of the paper:
The main step consists in proving Theorem 1.4 for a priori bounded sets in the regime of small asymmetry. Arguing by contradiction one obtains a sequence of sets contradicting the stability inequality with any given constant . In Sections 3 and 4 we use this sequence to construct an improved contradicting sequence which solves a variational problem.
In Section 5, we exploit the regularity theory of [AC81] to show that this new sequence consists of smooth nearly spherical sets, for which the desired estimate is proved in Section 2, via a Fuglede type computation [Fug89]. In Section 6, we show how one can reduce to a priori bounded domains for the case of the absolute capacity. Eventually, in Section 7 we combine all the steps to prove Theorem 1.4.
Acknowledgements
The work of the authors is supported by the INDAM-grant “Geometric Variational Problems".
2. Fuglede’s computation
As explained in the introduction it is convenient to introduce a smoothed version of the Fraenkel asymmetry. Roughly speaking, while represents an norm, represents an norm, see (iii) in Lemma 2.3 below and the discussion in [BDPV15, Introduction].
Definition 2.1**.**
Let be an open set in . Then we define the asymmetry in the following way:
- (A)
[TABLE] 2. (B)
[TABLE]
Here denotes the barycenter of , namely .
Since most of the argument will be similar for the relative and for the absolute capacity, let us also introduce the following notational convention:
Notation 2.2**.**
Whenever possible, we will write ,, etc. instead of /, / or other notions that will come along. The convention is that denotes the same thing ( or the absence of it) throughout the equation or the computation where it appears.
The next Lemma collects the main properties of , the proof is identical to the one of [BDPV15, Lemma 4.2] and it is left to the reader.
Lemma 2.3**.**
Let , then
- (i)
There exists a constant such that
- (A)
[TABLE]
for any open set ; 2. (B)
[TABLE]
for any open set . 2. (ii)
There exists a constant such that
[TABLE]
for any . In particular, if in then . 3. (iii)
There exist constants , such that for every nearly spherical set (see Definition 2.4 below) with (and in the case of )
[TABLE]
We now prove the validity of the quantitative isocapacitary inequality for sets close to the unit ball. More precisely, we are going to prove Theorem 1.4 for nearly spherical sets which are defined below. The proof is based on second variation argument as in [Fug89].
Definition 2.4**.**
An open bounded set is called nearly spherical of class parametrized by , if there exists with such that
[TABLE]
Let us also introduce the following definition:
Definition 2.5**.**
Given a function we define
- (A)
as the solution to
[TABLE] 2. (B)
as the solution to
[TABLE]
2.1. Second variation
We now compute the second order expansion of the capacity of a nearly spherical set. Note that the remainder term is multiplied by a higher order norm. This is precisely the reason why we will need to use the Selection Principle in the proof of Theorem 1.4.
Lemma 2.6**.**
Given , there exists and a modulus of continuity such that for every nearly spherical set parametrized by with and , we have
[TABLE]
where
- (A)
[TABLE] 2. (B)
[TABLE]
To prove it, let us first introduce a technical lemma.
Lemma 2.7**.**
Given there exists and a modulus of continuity such that for every nearly spherical set parametrized by with and , we can find an autonomous vector field for which the following holds true:
- (i)
* in a -neighborhood of ;* 2. (ii)
* outside a -neighborhood of ;* 3. (iii)
if is the flow of , i.e.
[TABLE]
then and for all ; 4. (iv)
- •
* for every ,*
- •
,
- •
, ,
where .
Proof.
Take the same vector field as in Appendix of [BDPV15] and multiply it by a cut-off function.
Proof of Lemma 2.6.
Now set and let be the capacitary potential of . We define
[TABLE]
It is easy to see that is differentiable, see [Dam02], and that its derivative satisfies
- (A)
[TABLE] 2. (B)
[TABLE]
Using Hadamard formula, we compute:
[TABLE]
where is the inward normal to . Now we recall that is harmonic in and we use the boundary conditions for to get
[TABLE]
We know that is identically on and smaller than outside, hence (recall that denotes the ineer normal)
[TABLE]
Therefore,
[TABLE]
We proceed now with the second derivative, using again Hadamard’s formula and recalling that is autonomous and divergence-free in a neighborhood of (hence, on ).
[TABLE]
Note that in the second to last equality we have used (2.1) and the boundary condition for . Now since is constant on , we get
[TABLE]
where is the mean curvature of with respect to the inward normal to . Taking this into account and denoting on , we get
[TABLE]
Now we wish to calculate . We use that
- •
;
- •
on ;
- •
in ;
- •
.
[TABLE]
As for the case of full capacity, the same computations apply with minor changes, obtaining
[TABLE]
which formally corresponds to sending in the formula for . Since balls minimize the capacity we also have that . Writing
[TABLE]
one can now exploit Lemma 2.7 and perform the very same computations as in [BDPV15, Lemma A.2] to conclude.
2.2. Inequality for nearly spherical sets
We now establish a quantitative inequality for nearly spherical sets in the spirit of those established by Fuglede in [Fug89], compare with [BDPV15, Section 3].
Theorem 2.8**.**
There exists ( for the capacity in ) such that if is a nearly spherical set of class parametrized by with (and for the case of the capacity in ), then
[TABLE]
where
[TABLE]
where the second integral is intended on if .
Remark 2.9**.**
Note that by Lemma 2.3 (i),(iii) this theorem gives us Theorem 1.4 for nearly spherical sets.
Proof.
We essentially repeat the proof of the Theorem 3.3 in [BDPV15]. First, we show that is small. Indeed, we know that
[TABLE]
Hence,
[TABLE]
Moreover, for the case of the absolute capacity, also is small. Indeed, using that the barycenter of is at the origin, we get
[TABLE]
Let us define
- (A)
[TABLE] 2. (B)
[TABLE]
and note that, since , we have just proved that belongs to .
By Lemma 2.6, for small enough we have
[TABLE]
So, it is enough to check that
[TABLE]
for small .
Step 1: linearized problem. First, we show that
[TABLE]
Note that
- (A)
; 2. (B)
\mathcal{M}_{0}=\Bigr{\{}\xi\in H^{\frac{1}{2}}(\partial B_{1}):\int_{\partial B_{1}}\xi d\mathcal{H}^{N-1}=\int_{\partial B_{1}}x_{i}\xi d\mathcal{H}^{N-1}=0,i=1,2,\ldots,N\Bigl{\}}.
We recall that
- (A)
[TABLE] 2. (B)
[TABLE]
We consider first the case of relative capacity. We need to estimate the quotient
[TABLE]
from below for . We note that it is the Rayleigh quotient for the operator . Thus, we need to calculate its eigenvalues. We use spherical functions as a basis of : . We now show that can be written as for a suitable function . Indeed, by the equation defining we have check that
[TABLE]
Since , where is the Laplace-Beltrami operator, one easily checks that
[TABLE]
provides a solution. Hence, the first eigenvalue is zero and corresponds to constants, whereas the first non-zero one is .
For the case of the absolute capacity we estimate the quotient
[TABLE]
in an analogous way. The functions in this case is
[TABLE]
The first eigenvalue is zero and corresponds to constants, the second one is and corresponds to the coordinate functions, the next one is .
Step 2: reducing to . We are going to apply Step 1 to the projection of on and show that the difference is small. Let be in . Define
- (A)
[TABLE] 2. (B)
[TABLE]
It is immediate from the definition that belongs to . We now compare the norms of and . We denote and we write
[TABLE]
Note that in the last equality we used integration by parts and the definition of . Since belongs to , we have
[TABLE]
where we have used that since belongs to an dimensional space, the and the are equivalent. Now we apply Step 1 to to get
[TABLE]
and thus , by (2.3) and (2.4),
[TABLE]
provided is chosen sufficiently small.
3. Stability for bounded sets with small asymmetry
This section is dedicated to the proof of the following theorem.
Theorem 3.1**.**
There exist constants , such that for any open set with and the following inequality holds:
[TABLE]
We want to reduce our problem to nearly spherical sets. To do that we argue by contradiction. Assume that there exists a sequence of domains such that
[TABLE]
for some small enough to be chosen later. We then prove the existence of a new contradicting sequence made of smooth sets via a selection principle.
Theorem 3.2** (Selection Principle).**
There exists such that if one has a contradicting sequence as the one described above in (3.1) with , then there exists a sequence of smooth open sets such that
- (i)
, 2. (ii)
* in for every ,* 3. (iii)
* for some constant,* 4. (iv)
for the case of the capacity in the barycenter of every is in the origin.
Proof of Theorem 3.1 assuming Selection Principle.
Suppose Theorem 3.1 does not hold. Then for any we can find a contradicting sequence as in (3.1). We apply Selection Principle to to get a smooth contradicting sequence .
By the properties of , we have that for big enough is a nearly spherical set. Thus, we can use Theorem 2.8 and get
[TABLE]
But this cannot happen for small enough depending only on and
The proof of Theorem 3.2 is based on constructing the new sequence of sets by solving a variational problem. The existence of this new sequence is established in the next section while its regularity properties are studied in Section 5.
4. Proof of Theorem 3.2: Existence and first properties
4.1. Getting rid of the volume constraint
The first step consists in getting rid of the volume constraint in the isocapacitary inequality. Note that this has to be done locally since, by scaling, globally there exists no Lagrange multiplier. Furthermore, to apply the regularity theory for free boundary problems, it is crucial to introduce a monotone dependence on the volume. To this end, let us set
[TABLE]
and let us consider the new functional
[TABLE]
We now show that the above functional is uniquely minimized by balls. Note also that satisfies
[TABLE]
Lemma 4.1** (Relative capacity).**
There exists an such that the only minimizer of in the class of sets contained in is , the unit ball centered at the origin.
Moreover, there exists such that for any ball with , one has
[TABLE]
Lemma 4.2** (Absolute capacity).**
There exists an such that the only minimizer of in the class of sets contained in is a translate of the unit unit ball .
Moreover, there exists such that for any ball with , one has
[TABLE]
Proof of Lemma 4.1.
First of all, using symmetrization we get that any minimizer of is a ball centered at zero. Thus, it is enough to show that for some
[TABLE]
attains its only minimum at on the interval . We recall that the (relative) capacitary potential of in is given by
[TABLE]
and thus
[TABLE]
hence
[TABLE]
For convenience let us denote
[TABLE]
and note that
[TABLE]
Now we consider separately the two cases and .
- •
[TABLE]
For
[TABLE]
If we take , then for and thus attains its minimum at on that interval.
Moreover for
[TABLE]
Since we can take small enough depending only on to ensure that for all .
- •
[TABLE]
Taking depending only on we get for and thus attains its minimum at also on this interval.
To prove the last claim just note that
[TABLE]
Proof of Lemma 4.2.
The proof works exactly as the one in the previous lemma, just using the equality
[TABLE]
4.2. A penalized minimum problem
The sequence in Theorem 3.2 is obtained by solving the following minimum problem.
[TABLE]
where
[TABLE]
We start proving the existence of minimizers. As in [BDPV15], in order to ensure the continuity of the asymmetry term, one needs to construct a minimizing sequence with equibounded perimeter. Recall also that a set is said to be quasi open if it is the zero level set of a function.
Lemma 4.3**.**
There exists such that for every the minimum in (4.4) is attained by a quasi-open set . Moreover, perimeters of are bounded independently on .
Proof.
We will focus on the capacity with respect to the ball. For the case of capacity in one simply replaces by .
Step 1: finding minimizing sequence with bounded perimters. We consider – a minimizing sequence for , satisfying
[TABLE]
We denote by the capacitary potentials of , so . We take as a variation the slightly enlarged set :
[TABLE]
where .
Note that the function is in and on , so we can bound the capacity of by . Since is almost minimizing, we write
[TABLE]
We use (4.1) and the fact that the function is Lipschitz to get
[TABLE]
where in the second inequality we used Lemma 2.3, (ii). Taking , we obtain
[TABLE]
We estimate the left-hand side from below, using the arithmetic-geometric mean inequality, the Cauchy-Schwarz inequality, and the co-area formula.
[TABLE]
where denotes the De Giorgi perimeter of a set . Hence, there exists a level such that for
[TABLE]
where in the last equality we have used that . These will give us the desired "good" minimizing sequence, indeed
[TABLE]
where in the first inequality we have used that and in the second that, thanks to our choice of ,
[TABLE]
Step 2: Existence of a minimizer. Since is a sequence with equibounded perimeter,s there exists a Borel set such that up to a (not relabelled) subsequence
[TABLE]
We want to show that is a minimizer for . We set and we note that they are the capacitary potentials of . Moreover the sequence is bounded in . Thus, there exists a function such that up to a (not relabelled) subsequence
[TABLE]
Let us define , we want to show that is a minimizer. First, note that
[TABLE]
hence . Moreover, by the lower semicontinuity of Dirichlet integral, the monotonicity of and the continuity of with respect to the convergence, we have
[TABLE]
Hence
[TABLE]
[TABLE]
Since , (4.1) and our choice of yield
[TABLE]
from which we conclude that and thus, by (4.5) that is the desired minimizer.
4.3. First properties of the minimizers
Let us conclude by establishing some properties of the minimizers of (4.4).
Lemma 4.4**.**
Let be a sequence of minimizers for (4.4). Then the following properties hold:
- (i)
; 2. (ii)
\big{|}|\Omega_{j}|-|B_{1}|\big{|}\leq C\sigma^{4}\epsilon_{j}; 3. (iii)
- (A)
for the capacity in up to translations in , 2. (B)
for the relative capacity in ; 4. (iv)
.
Proof.
Recall that the sequence was obtained by a sequence satisying
- (1)
, 2. (2)
, 3. (3)
.
We now use as comparison domains for the functionals to get
[TABLE]
implying that
[TABLE]
which proves (iv). Note that we defined in such a way that . Thus, using (4.6) we also deduce that
[TABLE]
which gives (i). To estimate the volume of , we use the classical isocapacitary inequality and properties of and (4.2), (4.3). Indeed, let be the ball centered in the origin such that .Then
[TABLE]
where in the last inequality we have used (4.2), (4.3). This proves (ii). To prove (ii) we recall that the sets have equibounded perimeter. Hence, the sequence is precompact in . Since the asymmetry is continuous with respect to convergence any limit set has zero asymmetry. The only set with zero asymmetry is the unit ball (or a translated unit ball in the case of the absolute), proving (iii).
5. Proof of Theorem 3.2: Regularity
In this section, we show that the sequence of minimizers of (3) converges smoothly to the unit ball. This will be done by relying on the regularity theory for free boundary problems established in [AC81].
5.1. Linear growth away from the free boundary
Let be the capacitary potential for , a minimizer of (4.4). Let us , so that , on , following [AC81] we are going to show that
[TABLE]
where the implicit constant depends only on . The above estimate is obtained by suitable comparison estimates. In order to be able to perform them with constants which depend only on , we need to know that is uniformly far from . This will be achieved by first establishing (uniform in ) Hölder continuity of .
5.1.1. Hölder continuity
The proof of Hölder continuity is quite standard and it is based on establishing a decay estimate for the integral oscillation of . Since, thanks to the minimizing property, is close to the harmonic function in with the same boundary value, we start by recalling the decay of the harmonic functions both in the interior and at the boundary. The following is well known, see for instance [GM12, Proposition 5.8].
Lemma 5.1**.**
Suppose is harmonic, . Then there exists a constant such that for any balls
[TABLE]
Next lemma studies the decay at the boundary, the result is well known. Since we have not been able to find a precise reference for this statement, we report its simple proof.
Lemma 5.2**.**
Let be an open set such that and let be harmonic in , on . Assume that there exists such that for
[TABLE]
Then there exist a constant and an exponent such that for any we have
[TABLE]
Remark 5.3**.**
Note that as is harmonic in and [math] on , is subharmonic in , thus its means over balls increase with the radius. In particular,
[TABLE]
Proof of Lemma 5.2.
For convenience, we assume that (we can reduce to this case by scaling). First, we note that it is enough to show the result for radii with the ratio equal to a power of . Indeed, take such that . Then
[TABLE]
We work with powers of . We start by showing
[TABLE]
For any there exists some such that , so we can write
[TABLE]
which proves (5.3) since is arbitrary. Using induction and scaling we can extend this result to all powers of . Indeed satisfies the hypothesis of the theorem. Hence,
[TABLE]
and thus
[TABLE]
In the same way
[TABLE]
Now
[TABLE]
where we have used (5.2). We get from powers of to other radii again by scaling. This concludes the proof with .
Corollary 5.4**.**
Let as in the statement of Lemma 5.2, then
[TABLE]
for any with a constant depending only on .
Proof.
The proof follows from Lemma 5.2 and the simple observation that for a function vanishing on a fixed fraction of , the norm and the variance are comparable. Namely there exists a constant such that
[TABLE]
Indeed, the first inequality is true for every with . For the second one note that
[TABLE]
Hence we need to estimate in terms of . Since is non-zero only inside , using Hölder inequality, we obtain
[TABLE]
hence
[TABLE]
concluding the proof.
To prove Hölder continuity of we will use several times the following comparison estimates.
Lemma 5.5**.**
Let be the capacitary potential of a minimizer for (4.4). Let be an open set with Lipschitz boundary and let coincide with on the boundary of in the sense of traces.
Then
[TABLE]
Moreover, if in , then
[TABLE]
provided .
Proof.
We prove the result for the relative capacity. The case of the capacity in can be treated in the same way. Since is fixed we drop the subscript . Consider defined as
[TABLE]
Take as a comparison domain. Since is minimizing, we can write
[TABLE]
Hence, by Lemma 2.3, (ii) and (4.1).
[TABLE]
To prove the second inequality we observe that implies , i.e. . Hence, by (4.1):
[TABLE]
from which the inequality follows choosing small enough.
Remark 5.6**.**
Note that if is harmonic in , then
[TABLE]
meaning that the first inequality from the lemma becomes
[TABLE]
Let us also recall the following technical result
Lemma 5.7** ( [Lemma 5.13 in [GM12]).**
Let be a non-decreasing function satisfying
[TABLE]
for some , with and for all , where is given. Then there exist constants and such that if , we have
[TABLE]
for all .
Lemma 5.8**.**
There exists such that every minimizer of (4.4) staisfies . Moreover, the Hölder norm is bounded by a constant independent on .
Proof.
Let us extend by [math] outside of . As usual, we drop the subscript . By Camapanato’s criterion it is enough to show that
[TABLE]
for all small enough (say less that ).
Step 1: estimates on the boundary. Let . Let be the harmonic extension of in . By Corollary 5.4 we know that
[TABLE]
for some . Let . Then
[TABLE]
To estimate we recall that and vanishes outside , hence by Poincaré’s inequality and (5.4)
[TABLE]
Combining the last two inequalities, we get
[TABLE]
Using Lemma 5.7 we obtain
[TABLE]
for any . In particular,
[TABLE]
Step 2: estimates at the interior. Assume that , , so that . Then one can proceed in the same way as in the previous step using Lemma 5.1 instead of Corollary 5.4. Hence
[TABLE]
for and, in particular,
[TABLE]
Step 3: global estimates. We now combine the previous steps, distinguishing several cases:
- •
. By Step 2
[TABLE]
- •
. Let be the intersection of the ray with . Then, using Step 2 and Step 1, we have
[TABLE]
- •
. Again we set to be the radial projection of onto . We use Step 1 and get
[TABLE]
In conclusion,
[TABLE]
which by Campanato criterion implies that . Note furthermore that the dependence on is realized only by the norm of which is uniformly bounded by .
5.1.2. Lipschitz continuity and density estimates on the boundary
We now prove two lemmas similar to those in Section 3 of [AC81]. These are obtained by adding or removing a small ball from an optimizer of (4.4). Since our competitors are constrained to lie in removing a ball is not a problem. On the other hand adding might lead to a non admissible competitor. For the case of the relative capacity, we use the Hölder estimate of the previous section. Indeed it implies that there exists such that
[TABLE]
Lemma 5.9**.**
For there is a constant such that if is a minimizer for (4.4) and satisfies
[TABLE]
then in . In the case of the relative capacity we assume where is as in (5.6).
Proof.
We drop the subscript for simplicity. We first check that . By our restriction on this is clear in the case of the relative capacity. Let us show that this is the case also for the absolute capacity provided we choose small enough (depending only on and , ). To prove this we use that cannot be too small outside of . More precisely, by comparison principle we know that
[TABLE]
where is the corresponding function for . Suppose that . Then the part of with the distance at least from the boundary of the ball has measure at least . Then
[TABLE]
in contradiction with (5.7) if is small enough depending on .
Now we turn to the proof of the lemma for both cases. Since is fixed we simply write for . The idea is to take as a variation a domain, defined by a function coinciding with everywhere outside and being zero inside . More precisely, define in as the solution of
[TABLE]
where . Note that since is subharmonic, . Moreover, one easily estimates
[TABLE]
Using the second inequality in Lemma 5.5 with and in the place of , we get
[TABLE]
Using Cauchy-Schwarz inequality, we obtain
[TABLE]
where we have used (5.8). We will now bound from above by a constant times the left-hand side. Since can be made as small as we wish, this will conclude the proof. In order to do that we use first the trace inequality, then Cauchy-Schwarz to get
[TABLE]
Lemma 5.10**.**
There exists such that if is a minimizer for (4.4) and satisfies
[TABLE]
then in .
Proof.
Let us drop the subscript as usual. As a comparison domain here we consider , note that it is a subset of .More precisely, we define as the solution of
[TABLE]
We use Lemma 5.5 and Remark 5.6 with , as to deduce
[TABLE]
We now estimate by the left-hand side. This can be done by arguing as in [AC81, Lemma 3.2]. Here we present a slightly different proof 333We warmly thank Jonas Hirsch for suggesting this proof.. First we change coordinates so that . Then by the representation formula
[TABLE]
If we now apply Hardy inequality,
[TABLE]
to the function and we take into account (5.10) and (5.9), we get
[TABLE]
which is impossible if is large enough depending in unless almost everywhere in .
As in Section 3 of [AC81] these two lemmas imply Lipschitz continuity of minimizers and density estimates on the boundary of minimizing domains. Note that we use here Lemma 5.8 as we need to apply the lemmas for the balls of all radii less or equal to some , see (5.6).
Lemma 5.11**.**
Let be as above, . Then is open and there exist constants , such that
- (i)
for every
[TABLE] 2. (ii)
* are equi-Lipschitz;* 3. (iii)
for every and
[TABLE]
Applying [AC81, Theorem 4.5] to we also have the following
Lemma 5.12**.**
Let be as above, then there exists a Borel function such that
[TABLE]
Moreover, , , and .
Since converge to in by Lemma 4.4, the density estimates also give us the following convergence of boundaries.
Lemma 5.13**.**
Let be minimizers of (4.4). Then:
- (A)
For the capacity with respect to the ball
[TABLE]
in the Kuratowski sense. 2. (B)
For the capacity in every limit point of with respect to convergence is the unit ball centered at some . Moreover, the convergence holds also in the Kuratowski sense.
Corollary 5.14**.**
In the setting of Lemma 5.13, for every there exists such that for
- (A)
* in the case of the relative capacity;* 2. (B)
* for some in the case of the capacity in .*
5.2. Higher regularity of the free boundary
In order to address the higher regularity of , we need to prove that is smooth. This will be done by using the Euler-Lagrange equations for our minimizing problem. We defined in such a way that the following minimizing property holds
- (A)
[TABLE]
for any such that . 2. (B)
[TABLE]
for any such that , .
To write Euler-Lagrange equations for , we need to have (5.12) or (5.13))respectively for where is a diffeomorphism of close to the identity. Note that to make sure that is contained in one needs to know that . This follows from Corollary 5.14, up translate in the case of the absolute capacity (note that in this case the problem is invariant by translation). More precisely we will get the following optimality condition
- (A)
[TABLE] 2. (B)
[TABLE]
for some constant . These equations are an immediate consequence of the following lemma whose proof is almost the same as [BDPV15, Lemma 4.15] (which in turn is based on [AAC86]). For this reason we only highlight the most relevant changes, referring the reader to [BDPV15, Lemma 4.15] for more details.
Lemma 5.15**.**
There exists such that for any and any two points and in the reduced boundary of the following equality holds:
- (A)
[TABLE] 2. (B)
[TABLE]
Proof.
We argue by contradiction. Assume there exist such that
- (A)
[TABLE] 2. (B)
[TABLE]
Using this inequalities, we are going to construct a variation contradicting (5.12). We take a smooth radial symmetric function supported in and define the following diffeomorphism for small and :
[TABLE]
We define the function
[TABLE]
and we define a competitor domain as the domain with for capacitary potential, i.e.
[TABLE]
Now we are going to show that for and small enough . To do that, we first compute the variation of all the terms involved in .
Volume. By arguing as in [BDPV15, Lemma 4.15] one gets
[TABLE]
where goes to zero as and is independent on .
Barycenter.(for the case of the capacity in ). Assume that that , as in [BDPV15, Lemma 4.15] one gets,
[TABLE]
Asymmetry. Again by the very same computations as in [BDPV15, Lemma 4.15] one gets
[TABLE]
In the case of asymmetry we get an additional term:
[TABLE]
.
Dirichlet energy. Again one can argue as in [BDPV15, Lemma 4.15] to get
[TABLE]
Combining the above estimates one gets
- (A)
[TABLE] 2. (B)
[TABLE]
According to (5.14) and (5.15) the quantity in parentheses is strictly negative. Thus, we get a contradiction with the minimality of for and small enough.
Lemma 5.16** (Smoothness of ).**
There exist constants , , such that for every , the functions belong to .
Moreover, for every there exists a constant such that
[TABLE]
for every .
Proof.
We would like to write an explicit formula for using Euler-Lagrange equations, namely
- (A)
[TABLE] 2. (B)
[TABLE]
To do that, we need to show that the quantity in the parenthesis is bounded away from zero. Indeed, is bounded from above and below independently of and
- (A)
[TABLE] 2. (B)
[TABLE]
Then it follows from the Euler-Lagrange equations that also is bounded from above and below independently of . Thus, for small enough we can write the above-mentioned explicit formula for and get the conclusion of the lemma.
Now we are ready to apply the results of [AC81]. Indeed thanks to Lemma 5.15, is a weak solution of the free boundary problem First, we need to recall the definition of flatness for the free boundary, see [AC81, Definition 7.1] (here it is applied to ).
Definition 5.17**.**
Let . A weak solution of (5.11) is said to be of class in in a direction if and
[TABLE]
We are going to use that flat free boundaries are smooth (again we apply [AC81, Theorem 8.1] to )
Theorem 5.18** (Theorem 8.1 in [AC81]).**
Let be a weak solution of (5.11)) and assume that is Lipschitz continuous. There are constants such that if is of class in in some direction with and , then there exists a function with such that
[TABLE]
where . Moreover if in some neighborhood of , then and .
We are now ready to prove Theorem 3.2, cp. [BDPV15, Proposition 4.4].
Proof of Theorem 3.2.
We define as minimizers of (4.4). The desired sequence of Selection Principle will be properly rescaled . We need to show that converges smoothly to the ball . Indeed one then define
[TABLE]
where in the case of the relative capacity and in the case of the absolute capacity. Theorem 4.4 then implies all the desired properties of , compare with [BDPV15, Proof of Proposition 4.4].
Let , be as in Theorem 5.18 and to be fixed later. Let be some point on the boundary of . As is smooth, it lies inside a narrow strip in the neighborhood of . More precisely, there exists such that for every and every
[TABLE]
We know that are converging to in the sense of Kuratowski. Thus, there exists a point such that
[TABLE]
So, is of class in with respect to the direction and by Theorem 5.18, is the graph of a smooth function with respect to . More precisely, for small enough there exists a family of smooth functions with uniformly bounded norms such that
[TABLE]
By a covering argument this gives a family of smooth functions with uniformly bounded norms such that
[TABLE]
By Ascoli-Arzelà and convergence to in the sense of Kuratowski, we get that in , hence the smooth convergence of .
6. Reduction to bounded sets
To complete the proof of Theorem 1.4 one needs to show that in the case of the full capacity one can just consider sets with uniformly bounded diameter. To this end let us introduce the following
Definition 6.1**.**
Let be an open set in with . Then we define the deficit of as the difference between its capacity and the capacity of the unit ball:
[TABLE]
Here is the key lemma for reducing Theorem 1.4 to Theorem 3.1.
Lemma 6.2**.**
There exist constants , and such that for any open with and , we can find a new set enjoying the following properties
- (1)
, 2. (2)
, 3. (3)
, 4. (4)
.
We are going to define as a suitable dilation of for some large . Hence, we first show the following estimates on the capacity of .
Lemma 6.3**.**
Let . Then there exists a constant such that for any open set with the following inequalities hold:
[TABLE]
Proof.
The first inequality is a direct consequence of the classical isocapacitary inequality. To prove the second one we are going to use the estimates for the capacitary potential of for which the exact formula can be written. Denote by and the capacitary potentials of and respectively. We first compute
[TABLE]
since on . We would like to show that cannot be too small. To this end let us set and similarly for . By Sobolev’s embedding we get
[TABLE]
where is the Sobolev exponent and in the last inequality we used that on . Let us also set
[TABLE]
By the maximum principle, , hence
[TABLE]
Hence
[TABLE]
concluding the proof.
We can now prove Lemma 6.2.
Proof of Lemma 6.2.
. Let us assume without loss of generality that the ball achieving the asymmetry of is . As was already mentioned, we are going to show that there exists an of the form for suitable and satisfying all the desired properties. Let us set
[TABLE]
Note that by Theorem 1.3 we can assume that is as small as we wish (independently on up to choose sufficiently small. Lemma 6.3 gives
[TABLE]
which implies
[TABLE]
We now claim that there exists such that
[TABLE]
Indeed, otherwise by (6.1) we wpuld get
[TABLE]
for all , where . Iterating the last inequality, we obtain
[TABLE]
if is small enough, which by Theorem 1.3 we can assume up to choose .
We define as a properly rescaled intersection of with a ball. Let be such that
[TABLE]
where . Note that . We now check all the remaining properties:
Bound on the diameter:
[TABLE]
up to choose .
- -
Bound on the deficit:
[TABLE]
since and, in particular, .
- -
Bound on the asymmetry: Let , that is is such that with . Let be such that is a minimizing ball for . Then, recalling that ,
[TABLE]
7. Proof of Theorem 1.4
In order to reduce it to Theorem 3.1 we need to start with a set which is already close to a ball. In the case of the absolute capacity, thanks to Theorem 1.3, this can be achieved by assuming the deficit sufficiently small (the quantitative inequality being trivial in the other regime). The next lemma contains the same “qualitative” result in the case of the relative capacity.
Lemma 7.1**.**
For all there exists such that if is an open set with and
[TABLE]
then
[TABLE]
Proof.
We argue by contradiction. Suppose there exists an and a sequence of open sets with such that but
[TABLE]
We denote by the capacitary potential of . The above inequality grants that
[TABLE]
Thus, up to a not-relabelled subsequence, there exists a function in such that in , in and almost everywhere in . We define as . From the lower semi-continuity of Dirichlet integral we have that
[TABLE]
On the other hand, we have , meaning that and . The isocapacitary inequality then implies that . In particular, for all and
[TABLE]
and thus in . Hence by Lemma 2.3, (ii), , a contradiction.
We have now all the ingredients to prove Theorem 1.4.
Proof of Theorem 1.4.
We will consider separately the cases of the absolute and relative capacity.
Absolute capacity. First note that if then, since ,
[TABLE]
Hence we can assume that is as small as we wish as long as the smallness depends only on . We now smaller than the constant in Lemma 6.2 and, assuming that , we use Lemma 6.2 to find a set with and satisfying all the properties there. In particular, up to a translation we can assume that . Up to choosing smaller we can apply Theorem 1.3 and Lemma 2.3 (ii) to ensure that where is the constant appearing in the statement of Theorem 3.1. This, together with Lemma 2.3, (i), grants that
[TABLE]
Hence, by Lemma 6.2 and assuming that (since otherwise there is nothing to prove),
[TABLE]
from which the conclusion easily follows since .
Relative capacity. Since by arguing as in the previous case, we can assume that . By Lemma 7.1 we can assume that where is the constant in Theorem 3.1. Hence
[TABLE]
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