Sharp Hardy and Hardy--Sobolev inequalities with point singularities on the boundary
Gerassimos Barbatis, Stathis Filippas, Achilles Tertikas

TL;DR
This paper investigates sharp Hardy and Hardy--Sobolev inequalities with boundary point singularities, establishing conditions for optimal constants and extending results to less regular domains like cones.
Contribution
It provides the sharp Hardy constant for boundary singularities under geometric conditions and introduces criteria for potential improvements, including in non-smooth domains.
Findings
Sharp Hardy constant $n^2/4$ under large exterior ball condition
Criteria for maximal potentials improving Hardy inequality
Dependence of Sobolev constant on cone opening in non-smooth domains
Abstract
We study the Hardy inequality when the singularity is placed on the boundary of a bounded domain in that satisfies both an interior and exterior ball condition at the singularity. We obtain the sharp Hardy constant in case the exterior ball is large enough and show the necessity of the large exterior ball condition. We improve Hardy inequality with the best constant by adding a sharp Sobolev term. We next produce criteria that lead to characterizing maximal potentials that improve Hardy inequality. Breaking the criteria one produces successive improvements with sharp constants. Our approach goes through in less regular domains, like cones. In the case of a cone, contrary to the smooth case, the Sobolev constant does depend on the opening of the cone.
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Sharp Hardy and Hardy–Sobolev inequalities with point singularities on the boundary
G. Barbatis Department of Mathematics, National and Kapodistrian University of Athens, 15784 Athens, Greece
S. Filippas Department of Mathematics and Applied Mathematics, University of Crete, 70013 Heraklion, Greece
A. Tertikas 22footnotemark: 2
Abstract
We study the Hardy inequality when the singularity is placed on the boundary of a bounded domain in that satisfies both an interior and exterior ball condition at the singularity. We obtain the sharp Hardy constant in case the exterior ball is large enough and show the necessity of the large exterior ball condition. We improve Hardy inequality with the best constant by adding a sharp Sobolev term. We next produce criteria that lead to characterizing maximal potentials that improve Hardy inequality. Breaking the criteria one produces successive improvements with sharp constants. Our approach goes through in less regular domains, like cones. In the case of a cone, contrary to the smooth case, the Sobolev constant does depend on the opening of the cone.
††Email addresses: [email protected]; [email protected]; [email protected]††Corresponding author: A. Tertikas
Contents
Keywords: Hardy inequality, Hardy constant, boundary singularity, Sobolev inequality, maximal potential, best constant, conformality.
2010 Mathematics Subject Classification: 35A23, 35J20, 35J75 (46E35, 26D10, 35J60)
1 Introduction and main results
For Hardy inequality states, that for any there holds
[TABLE]
where is the best constant. On the other hand Sobolev inequality reads as follows
[TABLE]
where is the best Sobolev constant for any domain .
There are various improved versions of either Hardy or Sobolev inequalities in the case of a bounded domain containing the origin see e.g [7, 24, 23, 1, 17, 3, 4, 16, 6, 5]. We mention in particular the following sharp Hardy–Sobolev inequality from [17, 2] that combines both inequalities
[TABLE]
for all . Here , with
[TABLE]
A natural question is what are the analogues of Hardy and Hardy–Sobolev inequalities in case the origin is on the boundary of instead of being in the interior. As we shall see, contrary to the previous case, the geometry of plays an important role. In the simplest case of the half space , Hardy inequality with best constant reads (cf. [22, 18])
[TABLE]
In the more general case where the domain is a cone with its vertex at the origin the sharp Hardy inequality reads (cf. [22])
[TABLE]
where and is the first Dirichlet eigenvalue of the Dirichlet Laplace-Beltrami operator on .
If on the other hand, the origin is on the boundary of a smooth near zero domain, then, related types of problems have been studied in [19, 20, 12, 21]. More precisely the following minimization problem has been considered for and ,
[TABLE]
and it was established that the geometry of around zero plays an important role. In particular if the mean curvature at zero is negative then and there exists a minimizer for (3). In the limit case the infimum is the best Hardy constant and under certain geometric assumptions on has been studied in [8, 9, 10, 11, 15].
In [14] it was realized that the geometry plays no role for the local best Hardy constant. That is, for small enough if we denote by the ball of radius centered at the origin, then for a smooth near zero domain one has
[TABLE]
which in particular implies the existence of a constant such that
[TABLE]
The first question we raise in this work is to find a more quantitative result that connects the local inequality (4) to the global inequality in the half space (1). To state our first result we denote by the ball of radius centered at and simply by in case the ball is centered at the origin; we also denote by the complement of a set .
Throughout this work , , is a bounded domain with satisfying an exterior ball condition at zero, that is there exists a ball
[TABLE]
We also denote
[TABLE]
Theorem 1
There exists a positive constant depending only on such that if the radius of the exterior ball satisfies then
[TABLE]
for all . If in addition satisfies an interior ball condition at [math] then the constant is sharp.
Thus in the case of a smooth (near zero) domain , if the exterior ball at zero is large enough compared to the size of then the Hardy constant is . If however the (largest) exterior ball is not large enough, at the end of Section 3 we present an Example where the Hardy constant is smaller than .
We next improve Hardy inequality by adding a Sobolev term:
Theorem 2
Let . There exist positive constants and that depend only on such that, if the radius of the exterior ball satisfies the following holds true:
[TABLE]
for all . Here . If in addition satisfies an interior ball condition at [math] then the exponent of is sharp.
If the radius of the exterior ball is small then there exists a non negative constant (that depends on ) so that we have
[TABLE]
for the precise statement see Theorem 9.
Under the assumptions of Theorem 2, a simple application of Holder’s inequality yields that for any there exists a positive constant such that
[TABLE]
If is the best constant then this inequality cannot be further improved, see Theorem 11. On the other hand, as we shall see, in the limiting case the inequality is also true, that is
[TABLE]
and the constant is sharp. In contrast with the case this inequality can be further improved.
This is a particular case of a more general situation where one has a non negative potential that for some non negative and some sharp positive constant the following inequality is true:
[TABLE]
In Section 5 we characterize maximal potentials, that is potentials such that (6) cannot be improved, with being the best constant for (6); such examples are the subcritical potentials, see Definition 2. The main result of Section 5 is Theorem 11. We note that this description of maximal potentials is analogues to the description in [23, 17] for the interior point singularity case.
In Section 6 we consider the problem of successively improving Hardy inequality by critical potentials. Before stating our result we first define the iterated logarithms (cf. [17])
[TABLE]
One can check that for the series converges (see the proof of Lemma 6.3 in [17] or the Appendix in [13]) and that it is a strictly increasing function of . We denote by the unique for which
[TABLE]
We then have
Theorem 3
There exists that depends only on such that if the radius of the exterior ball satisfies the following holds true:
[TABLE]
for all ; here . If in addition satisfies an interior ball condition at [math] then the constants are sharp at each step, that is
[TABLE]
and for each
[TABLE]
We also have the Hardy-Sobolev analogue:
Theorem 4
Let . There exist positive constants and that depend only on such that, if the radius of the exterior ball satisfies then for any the following holds true:
[TABLE]
for all ; here . If in addition satisfies an interior ball condition at [math] then the exponents of are also sharp.
We then proceed to obtain a characterization for maximal potentials in the context of logarithmic improvements; see Theorem 15.
Analogues of these theorems hold true if the domain is a cone with vertex at zero and Section 2 is entirely devoted to this. What is interesting in this case is that the Sobolev constant depends on the cone. As a typical result we mention here the following theorem that refers to a bounded cone , the intersection of an infinite cone with vertex at the origin with the unit ball .
Theorem 5
Let . There exists a positive constant that depends only on such that
[TABLE]
for all ; here . The exponent of is the best possible. Moreover the best constant for inequality (8) satisfies the estimate
[TABLE]
for some positive constant that depends only on . In particular the best constant of inequality (8) cannot be taken to be independent of .
Finally, a similar analysis goes through if one has potentials with multiple singularities on the boundary, see Theorem 20 for one such result.
Our results about point singularities on the boundary, are analogous to the case of interior point singularities see [17, 23, 2]. We note however that whereas in the interior singularity case the geometry of is irrelevant, in this work the curvature of the boundary introduces several technical difficulties even in the case of the plain Hardy inequality (5) as already noted in several recent works see e.g. [8, 9, 10, 11, 14, 15, 20, 21]. To overcome these difficulties we produce new improved inequalities in the flat case, see Lemmas 1, 2, 3 and then we use suitable conformal transformations thus obtaining sharp inequalities under the exterior ball assumption.
2 Distance from the vertex of a cone
In this section we consider the case of a finite cone and we obtain both homogeneous and nonhomogeneous improvements of the Hardy inequality (2). We pay particular attention to the special case where the cone is the half ball . In this case the estimates we obtain are stronger than in the case of a general cone and play a crucial role in our subsequent analysis.
Let be a domain in (that is a set that is open and connected in the relative topology) with Lipschitz boundary. Let be the th Dirichlet eigenvalue of the Laplace-Beltrami operator on and let be a corresponding eigenfunction that is,
[TABLE]
We may assume that is a complete orthonormal system in . We note that is a simple eigenvalue and we take to be positive.
We define
[TABLE]
Proof of Theorem 5. Let be given and let
[TABLE]
be its decomposition into the spherical harmonics of . We then have
[TABLE]
Let denote the surface measure of the unit sphere . Throughout this proof for any radial function (which sometimes shall be written as and sometimes as ) we shall use the notation
[TABLE]
It then easily follows that
[TABLE]
Moreover for any bounded radial function we have
[TABLE]
Therefore
[TABLE]
For the optimality of the exponent, suppose to the contrary that there exists such that
[TABLE]
for all . Considering functions of the form with we obtain that any such satisfies
[TABLE]
This is a contradiction since the best exponent of in (10) is ; see [17].
To prove estimate (9) we test inequality (8) with a function of the form . Then an easy calculation gives
[TABLE]
Minimizing with respect to (see [2, Theorem B]) we conclude that
[TABLE]
By the normalization of and Hölder inequality we conclude that
[TABLE]
which concludes the proof.
In a similar fashion we obtain
Theorem 6
Let . There exists a constant that depends only on such that for any
[TABLE]
for all ; here . Each constant is the best possible, that is,
[TABLE]
and for each
[TABLE]
The exponent is the best possible. Moreover the best constant for inequality (11) satisfies the estimate
[TABLE]
for some positive constant that depends only on . In particular the best constant of inequality (11) cannot be taken to be independent of .
Proof. Arguing as in the proof of Theorem 5 we arrive at
[TABLE]
For the optimality of the constants we make once again the choice to conclude that
[TABLE]
by [17, Theorem 6.1]. The optimality of the exponent in the Sobolev term follows as before from the optimality of the corresponding exponent of the Hardy-Sobolev inequality for an interior point, [17, Theorem A’].
Finally to prove estimate (12) we once again test inequality (11) with a function of the form . We then obtain
[TABLE]
Minimizing with respect to (see [2, Theorem B]) and using Hölder inequality we conclude that
[TABLE]
which concludes the proof.
Theorem 7
Let . There holds
[TABLE]
for all ; here . Each constant is sharp.
Proof. This follows from Theorem 6 by letting . The optimality of the constants has been established in Theorem 6.
2.1 Improved Hardy inequalities in half balls
The case of half ball where is of particular importance for our approach. In this case the Hardy constant becomes
[TABLE]
and the Sobolev constants of Theorems 5 and 6 depend only on . As a special case of the previous results we have the following sharp inequalities for all functions :
[TABLE]
[TABLE]
[TABLE]
where .
In these inequalities the singularity lies on a flat part of the boundary. However if the boundary is not flat near the singularity, then curvature plays a role. To overcome these difficulties, in the next three lemmas we establish stronger versions of (13), (14) and (15) that will be used to prove Theorems 2, 3 and 4.
We recall (cf.(7)) that is the unique for which . We also denote for ,
[TABLE]
Using the identity
[TABLE]
we easily obtain cf [4]
[TABLE]
We next have.
Lemma 1
For any there holds
[TABLE]
for all ; here .
Proof. Let be a vector field in and . We have
[TABLE]
and therefore
[TABLE]
We shall apply this for the vector field
[TABLE]
We have
[TABLE]
hence
[TABLE]
where in the last inequality we used that , because of the choice of , and the result follows.
Lemma 2
Let . There exists a constant that depends only on such that for any there holds
[TABLE]
for all ; here .
Proof. The result follows by taking a convex combination of (13) and (16) and discarding the logarithmic terms that do not come with the sharp constant; see also the next lemma.
Lemma 3
Let and . There exists a constant that depends only on such that for all there holds
[TABLE]
for all ; here .
Proof. This follows by taking a convex combination of (14) and (16).
3 Hardy inequality in bounded domains
In this section we provide the proof of Theorem 1 and use an example to establish the necessity of a relatively large exterior ball assumption. We also analyse the Hardy constant in the case of annuli (see Theorem 8).
We initially establish that is an upper bound for the Hardy constant under an interior ball condition.
Lemma 4
If satisfies an interior ball condition at 0 then for any we have
[TABLE]
Proof. Without loss of generality we may assume that the interior ball is and satisfies , therefore it is enough to establish that
[TABLE]
Using a scaling argument we find that this infimum is equal to
[TABLE]
which is equal to .
We shall next prove a result about annuli. We use the notation
[TABLE]
or simply in case . Also, shall denote the unit vector in the direction.
Theorem 8
Let and let denote the best constant for the Hardy inequality
[TABLE]
There exists a constant which depends only on such that
* For all there holds *
* For all there holds .*
Moreover is strictly decreasing in and .
Proof. It is enough to establish the result for , the general case then follows by scaling. To prove it is enough to establish that for small enough we have inequality (17). We apply (15) with where we place the singularity at and we obtain the inequality
[TABLE]
where . Next we apply the Kelvin transform
[TABLE]
Then by standard calculations using the conformality of the Kelvin transform we have
[TABLE]
and since
[TABLE]
inequality (18) takes the equivalent form
[TABLE]
for all , where .
It follows from (19) that for any and any there holds
[TABLE]
To conclude the proof it suffices to show that the last term above is nonnegative for small enough . For this it is enough to have the inequality
[TABLE]
Writing , , we have that . Hence
[TABLE]
and therefore it is enough to have
[TABLE]
Since , the result follows.
We shall next establish that the set of all for which inequality (17) holds true is bounded and therefore we may define
[TABLE]
For this we first note that for we have the inclusion
[TABLE]
and therefore
[TABLE]
Using the radial function
[TABLE]
we easily see that the last infimum is equal to \big{(}\frac{n-2}{2}\big{)}^{2}+\big{(}\frac{\pi}{\ln\frac{\tau}{2}}\big{)}^{2} and in particular it is smaller than if
[TABLE]
This implies the existence of an minimizer (see e.g. [20], Theorem 4.2) and therefore the strict monotonicity of for . The above computation also gives that ; this combined with the standard Hardy inequality gives thus concluding the proof of the theorem.
We next have
Proof of Theorem 1: As we shall see, the constant of Theorem 1 is the same as that of Theorem 8 above. Since , it follows from Theorem 8 that
[TABLE]
The assumption implies and therefore (5) follows from (20). The sharpness of the constant follows directly from Lemma 4.
It is natural to ask whether the assumption of having a large exterior ball at zero is necessary in order to have the Hardy inequality with constant . In the following example we will see that for small exterior balls inequality (5) fails.
Example. Given and we define the domain
[TABLE]
Let be a domain containing and having the same largest exterior ball at zero, namely .
We denote by the first Dirichlet eigenvalue of the Laplace operator on the spherical cap
[TABLE]
By monotonicity it follows that for we have . We shall prove that if
[TABLE]
then
[TABLE]
that is the Hardy inequality with constant fails in if the exterior ball at zero is small enough.
Proof of (22). We first note that
[TABLE]
Separating variables we then conclude that
[TABLE]
by assumption (21).
4 Improved Hardy-Sobolev inequalities for bounded domains
In this section we shall establish improved Hardy and Hardy-Sobolev inequalities and in particular we will provide the proof of Theorem 2. We start with the following lemma.
Lemma 5
Let . There exist and a constant , both depending only on , such that for all and all we have
[TABLE]
for all ; here .
Proof. We establish (23) for , the general case will then follow by scaling. The map
[TABLE]
maps conformally onto the unit ball . We note that
[TABLE]
Composing with the Kelvin transform we obtain that the map
[TABLE]
maps conformally onto . The Jacobian determinant of can be computed explicitly and one finds
[TABLE]
The Jacobian of the Kelvin map is hence, using also (25), the Jacobian of is
[TABLE]
Now, simple computations give that and therefore . From this we find
[TABLE]
and therefore
[TABLE]
Now let be fixed (this will be chosen later on) and let be given. We define the function on by
[TABLE]
We then have by Lemma 2,
[TABLE]
where . We next change variables in (29).
We have
[TABLE]
and therefore
[TABLE]
After integration over and a change of variables the first term turns out to be equal to . Integrating the other two terms yields
[TABLE]
We thus conclude that
[TABLE]
Using (27) and (28) we also find that
[TABLE]
The other two integrals in (29) can similarly be transformed and we conclude that (29) takes the form
[TABLE]
where . Now, it follows from (28) and some simple geometry that for any
[TABLE]
therefore
[TABLE]
We will choose such that for all and for all there holds
[TABLE]
or equivalently,
[TABLE]
Indeed, this is immediate for . Assuming that we set . We then have and therefore (31) will follow provided
[TABLE]
for all . Simple computations give that the last inequality holds true provided . This will be true for all and all if is chosen as
[TABLE]
Finally, the inequality implies . This completes the proof.
Proof of Theorem 2. We shall actually prove that the constant in the statement of the theorem is the same as the constant in the statement of Lemma 5. Without loss of generality we may assume that , the general case then follows by scaling.
We first note that from Lemma 5 and the inclusions
[TABLE]
we obtain that for all there holds
[TABLE]
for all , where .
We apply (32) for (which is allowed since ) and the result follows immediately from the inclusion . To establish the optimality of the exponent , it is enough to show the following
Claim. If then there is no such that the inequality
[TABLE]
with holds true for some small and some and all .
Suppose to the contrary that (33) is true for all . We use the conformal map defined by (24) to pull-back (33) to . We write and define
[TABLE]
Noting that we obtain that there exists such that the following inequality holds true for all
[TABLE]
or equivalently
[TABLE]
where . Now, from Lemma 1 we have the inequality
[TABLE]
By taking small enough we obtain from (34) and (35) that
[TABLE]
This violates the optimality of the exponent of Theorem 5, concluding the proof.
If the radius of the exterior ball is small we then have
Theorem 9
Let . There exist positive constants and that depend only on such that, if the radius of the exterior ball satisfies the following holds true:
[TABLE]
for all ; here . If in addition satisfies an interior ball condition at [math] then the constant and the exponent of are sharp in both inequalities.
Proof. Without loss of generality we may assume that , the general case following by scaling. We consider a cutoff function such that for and for , and we have , , for some constants depending only on . We then compute
[TABLE]
where for the last inequality we used the fact that .
The sharpness of the constant and of the exponent follow as in the proof of Theorems 1 and 2.
5 Characterizing maximal potentials
Throughout this section we assume that satisfies both an interior and exterior ball condition at [math]. Without loss of generality we may assume that the exterior ball at 0 is for some .
Our starting point is the following improved Hardy inequality contained in Theorem 9,
[TABLE]
for all . We shall be interested in the problem of improvements of (36) and whether corresponding best constants are attained. In connection with this we make the following definition
Definition 1
A non-negative potential is called admissible if there exist and such that
[TABLE]
The class of all admissible potentials for the domain is denoted by .
For a given we denote by the best constant of inequality (37). We next address the question whether there exists non-negative potentials and a positive constant such that
[TABLE]
In case there does not exist such a potential we say that the potential
[TABLE]
is a maximal potential. Our next goal is to characterize maximal potentials. In this direction for and small we define
[TABLE]
Since is a non-increasing function we can define
[TABLE]
which may also be equal to . This definition gives the impression that might depend on the choice of . We will now establish that is independent of . Let us denote at the moment the infimum in (38) by to express the dependence on . We have seen (cf. (32)) that for small there exists a positive constant that depends only on so that
[TABLE]
Using Holder’s inequality we conclude the existence of a positive constant independent of , so that for small we have
[TABLE]
This implies
[TABLE]
Hence . Letting we conclude that is indeed independent of the choice of .
Definition 2
We say that the potential is subcritical if .
Lemma 6
Let be a non-negative potential satisfying
[TABLE]
where . Then is a subcritical potential.
Proof. Applying Theorem 2 we obtain that for small enough we have
[TABLE]
for all , where . Applying Hölder inequality we then easily obtain that
[TABLE]
Letting we conclude that .
We shall also consider the following more general situation. Assume that are non-negative potentials in and assume that there exist and a radius so that
[TABLE]
for all . For we define
[TABLE]
and we denote
[TABLE]
We next show that subcritical potentials do not affect the concentration level . More precisely we have
Lemma 7
Let be non-negative potentials in and assume that for some there exists such that (40) holds true. If in addition are subcritical then .
Proof. The subcriticality of implies that for small there holds
[TABLE]
with . From inequalities (40) and (41) follows that for small enough we have
[TABLE]
This implies that
[TABLE]
and the result follows by letting .
Given we define the function by
[TABLE]
Then by our assumption that the exterior ball at zero is . After some computations and using integration by parts we arrive at
[TABLE]
so inequality (37) is written
[TABLE]
which can also take the equivalent form
[TABLE]
It is clear from the above that (43) is valid for all functions and moreover, for a fixed the best constants for inequalities (37) and (43) coincide. That common best constant shall be denoted by .
Denoting
[TABLE]
it then follows that (cf. (38))
[TABLE]
where denotes the closure of under the norm
[TABLE]
We shall now see a simpler way for expressing in terms of the weight . For this we define
[TABLE]
and
[TABLE]
Lemma 8
Let be a non-negative potential in . Then .
Proof. For the sake of simplicity we assume that ; the general case then follows by scaling. On the one hand we have for small that
[TABLE]
for some universal constant , which implies the inequality
[TABLE]
On the other hand, since
[TABLE]
we have the inequality
[TABLE]
which in turn implies
[TABLE]
The result follows by combining inequalities (44) and (45) and letting .
One important consequence of subcriticality is the following compactness property.
Lemma 9
Assume that the positive potential is subcritical. Then for any sequence which is bounded in there exists a subsequence, also denoted by , and a function so that
[TABLE]
Proof. Part (i) is standard. To prove (ii) we may assume without loss of generality that . We consider a small and a smooth cut-off function such that in and outside . We then have
[TABLE]
that is
[TABLE]
The result follows by noting that the RHS of (46) can be made arbitrarily small by choosing small enough.
We can now state and prove the main result of this section.
Theorem 10
Let and be given and let be the best constant for the inequality
[TABLE]
If in addition
[TABLE]
then the best constant in (47) is realized by a function . In particular the best constant is realized if the potential is subcritical.
Proof. We denote
[TABLE]
Then it is easily seen that
[TABLE]
which implies that is a subcritical potential by Lemma 6. We consider a minimizing sequence for (47) and without loss of generality we assume that
[TABLE]
Since is bounded in , it has a subsequence, which we assume is itself, which converges weakly to some . We define .
We consider a small enough so that and a smooth cut-off function such that in and outside . Arguing as in the proof of Lemma 9 we have
[TABLE]
Now, substituting in the normalization relations (48) and using Lemma 9 we obtain
[TABLE]
and
[TABLE]
[TABLE]
Moreover using (47) for we obtain from (51) that
[TABLE]
From (52) and (53) we conclude that
[TABLE]
Since , this implies that
[TABLE]
But by lower semicontinuity,
[TABLE]
Hence is a minimizer.
The next theorem is an immediate consequence of Theorem 10
Theorem 11
Let be a non-negative potential in . (a) Let and be such that
[TABLE]
where is the best constant. If in addition
[TABLE]
*then the potential is a maximal potential, that is inequality (54) cannot be improved by adding a non-negative potential in the RHS.
(b) If is a subcritical potential then there exist and a best constant such that (54) is true. Moreover the potential is a maximal potential.*
Proof. Suppose that is not a maximal potential, that is there exists a non-trivial potential in such that
[TABLE]
holds true for all . Using the transformation (42) this is equivalently written as
[TABLE]
Using where is the minimizer from Theorem 10 we conclude that , which is a contradiction.
Part is an immediate consequence of part since any subcritical potential is in and satisfies .
6 Logarithmic improvements and maximal potentials
Throughout this section we continue to assume that satisfies both an interior and exterior ball condition at [math]. We also continue to assume that the exterior ball at 0 is for some .
In this section we will provide the proofs of Theorems 3, 4 and also study maximal potentials in the context of logarithmic improvements of Hardy inequality.
6.1 Logarithmic improvements
To prove Theorems 3 and 4 we first establish the following lemmas:
Lemma 10
Let . There exists a positive constant depending only on such that for all and all we have
[TABLE]
Both inequalities are valid for all and in both cases .
Proof. To prove (i) it is enough to consider the case . We fix and we apply Lemma 1. Changing variables via (cf. (26)) we obtain
[TABLE]
for all ; here . As already noted (cf. (30)) we have
[TABLE]
so integrals in (56) can be taken over .
Once again it is enough to find such that for all and all there holds
[TABLE]
or equivalently,
[TABLE]
This is immediate if . Assuming we will actually establish the stronger inequality (recalling that )
[TABLE]
But this is almost the same as inequality (31), the only difference being that in the place of we now have ; we omit further details.
The proof of (ii) is analogous, but we now use Lemma 3 instead of Lemma 1. Again, we may take . We then fix and changing variables via we obtain
[TABLE]
for all ; here . As in the proof of pert (i), this is also true if the integrals are taken over and
Hence the result will follow once we establish for all the inequality
[TABLE]
This is equivalent to
[TABLE]
The argument now goes as in part (i); we omit further details.
Proof of Theorem 3. Without loss of generality we assume that . We use part (i) of Lemma 10 for making a translation of (55) by . We obtain
[TABLE]
for all , where . Since , the result follows.
Theorem 12
Let . There exists a positive constant that depends only on such that, if the radius of the exterior ball satisfies , with as in Theorem 4, the following holds true:
[TABLE]
for all ; here . If in addition satisfies an interior ball condition at [math] then the constants are sharp at each step.
Proof. We argue as in the proof of Theorem 2. This time however we also use the global estimate in order to estimate uniformly the constant in front of the term. We omit further details. The sharpness of the constants has already been proved.
Proof of Theorem 4 We argue as in the proof of Theorem 3, using now part (ii) of Lemma 10. To prove the sharpness of the constants and the exponent we argue as in the proof of Theorem 2; we omit the details.
In case the exterior ball is small, working as in Theorem 9 we have the following
Theorem 13
Let . There exist positive constants and that depend only on such that, if the radius of the exterior ball satisfies , with as in Theorem 4, then for any the following holds true:
[TABLE]
for all ; here . If in addition satisfies an interior ball condition at [math] then the exponents of are also sharp.
6.2 Maximal logarithmic potentials
Here we characterize maximal potentials in the context of logarithmically improved Hardy inequalities.
Our starting point in this subsection is the improved Hardy inequality contained in Theorem 4,
[TABLE]
for all ; here where . We shall be interested in the problem of improvements of (59) and whether the corresponding best constants are attained.
The analysis that will follow is analogous to that of Section 5; for this reason we shall avoid the details in cases where the arguments are quite similar.
Definition 3
A non-negative potential is called -admissible if there exist , and such that
[TABLE]
where . The class of all -admissible potentials for the domain is denoted by .
We note that there is a big variety of -admissible potentials. For example if satisfies
[TABLE]
where , , then is -admissible by Theorem 4.
For a given we denote by the best constant of inequality (60). We next address the question whether inequality (60) with best constant can be further improved. That is, whether there exists potential and a positive constant such that the following inequality holds true as well
[TABLE]
for . In case there does not exist such a potential , we say that the potential
[TABLE]
is an m–maximal potential. Our next goal is to characterize –maximal potentials. In this direction for and small we define
[TABLE]
where and . We also define
[TABLE]
Arguing as in Section 5 we can see that is independent of the specific choice of and .
Definition 4
The potential is -subcritical if .
Lemma 11
Let be a non-negative potential satisfying
[TABLE]
where , . Then is an -subcritical potential.
Proof. The proof is quite similar to the proof of Lemma 6 and makes use of Theorem 4 to establish the inequality
[TABLE]
The result then follows.
As in Section 5 we shall also consider the following more general situation. We consider non-negative potentials and assume that there exist and a radius so that
[TABLE]
for all . For we define
[TABLE]
and we denote
[TABLE]
The proof of the following lemma is similar to the proof of Lemma 7 and is omitted.
Lemma 12
Let be non-negative potentials in and assume that there exist and such that (62) holds true. If in addition are subcritical then .
Let be fixed. Given we define the function by
[TABLE]
where , . Then by our assumption that is an exterior ball. After some computations we arrive at
[TABLE]
so inequality (60) is written
[TABLE]
It is clear from the above that (63) is valid for all functions and moreover, for a fixed the best constants for inequalities (60) and (63) coincide. That common best constant shall be denoted by .
Defining
[TABLE]
it then follows that
[TABLE]
where denotes the closure of under the norm
[TABLE]
Similarly to Section 5 we shall use a simpler way for expressing . For this we define
[TABLE]
and
[TABLE]
Lemma 13
Let be a non-negative potential in . Then .
Proof. The proof is quite similar to the proof of Lemma 8. In particular we make use of the fact that
[TABLE]
from which it easily follows that is an -subcritical potential. We omit further details.
One important consequence of -subcriticality is the following compactness property whose proof is similar to that of Lemma 9 and is therefore omitted.
Lemma 14
Assume that the positive potential is -subcritical. Then for any sequence which is bounded in there exists a subsequence, also denoted by , and a function so that
[TABLE]
We can now state and prove the main theorems of this section.
Theorem 14
Let and be given and let be the best constant for the inequality
[TABLE]
where
[TABLE]
and
[TABLE]
with , . If in addition
[TABLE]
then the best constant in (64) is realized by a function . In particular the best constant is realized if is an -subcritical potential.
Proof. The proof is similar to the proof of Theorem 10 so we shall only give a sketch of the proof. What is important for our argument is that the potential is a subcritical potential. We consider a minimizing sequence for (64) and without loss of generality we assume that
[TABLE]
Since is bounded in , it has a subsequence, which we assume is itself, which converges weakly to some . We define .
We consider a small enough so that and a smooth cut-off function such that in and outside . Arguing as in the proof of Theorem 10 we obtain
[TABLE]
and also
[TABLE]
and
[TABLE]
[TABLE]
Writing (64) for we obtain from (67) that
[TABLE]
and arguing as before we conclude that
[TABLE]
that is is a minimizer for (64).
Finally, the next is a direct consequence of Theorem 14.
Theorem 15
Let . is a non-negative potential in and . (a) Let and be the best constant for the following inequality
[TABLE]
where . If in addition
[TABLE]
*then the potential is a maximal potential, that is, inequality (68) cannot be improved by adding a non-negative potential in the RHS.
(b) If is an -subcritical potential then there exist and a best constant such that (68) is true. Moreover the potential is a maximal potential.*
7 Maximal potentials in finite cones
In the previous two sections we characterized maximal potentials in bounded domains satisfying the exterior and interior ball condition. Analogous results also hold true in the case of finite cones.
Let be the cone determined by the domain as defined in Section 2; more generally we set . In this subsection we shall initially be interested in the question of characterizing maximal potentials for improved versions of inequality (2).
Definition 5
A non-negative potential is called admissible if there exists such that
[TABLE]
We denote by the class of all admissible potentials.
Once again there is a big variety of admissible potentials. For example if satisfies where , then is admissible by Theorem 5.
Given and we define
[TABLE]
and
[TABLE]
Definition 6
We say that the potential is subcritical if .
The analogue of Lemma 6 is the following
Lemma 15
Let be a non-negative potential satisfying
[TABLE]
where . Then is a subcritical potential.
Given we define the function by
[TABLE]
where and , is the first eigenfunction of the Dirichlet Laplacian in . After some computations we obtain
[TABLE]
As usual we denote by the closure of under the norm
[TABLE]
It is easily seen that inequality (69) under the change of variables (70) is equivalent to
[TABLE]
The analogues of Theorems 10 and 11 read as follows:
Theorem 16
Let and suppose that is the best constant for the inequality
[TABLE]
If in addition then the best constant in (71) is realized by a function . In particular the best constant is realized if the potential is subcritical.
Theorem 17
*Let be a non-negative potential in .
(a) Let be the best constant in the following inequality*
[TABLE]
*If in addition then the potential \big{[}\big{(}\frac{n-2}{2}\big{)}^{2}+\mu_{1}(\Sigma)\big{]}|x|^{-2}+bV(x) is a maximal potential, that is inequality (72) cannot be improved by adding a non-negative potential in the RHS.
(b) If is a subcritical potential then there exists a best constant such that (72) is true. Moreover the potential \big{[}\big{(}\frac{n-2}{2}\big{)}^{2}+\mu_{1}(\Sigma)\big{]}|x|^{-2}+bV(x) is a maximal potential.*
The proofs of these theorems are quite similar and slightly simpler to the proofs of of Theorems 10 and 11.
In analogy to the results of Section 6 we have similar theorems for the improved Hardy inequality involving logarithmic corrections. In particular we have
Definition 7
A non-negative potential is called m–admissible if there exists such that for , there holds
[TABLE]
We denote by the class of all –admissible potentials.
Given and we define
[TABLE]
and
[TABLE]
Definition 8
We say that the potential is -subcritical if .
Changing variables by
[TABLE]
inequality (73) is equivalent to
[TABLE]
Now the analogues of Theorems 14 and 15 are as follows
Theorem 18
Let and let be the best constant for the inequality
[TABLE]
If in addition then the best constant in (74) is realized in . In particular the best constant is realized if the potential is –subcritical.
Theorem 19
*Let be a non-negative potential in .
(a) Let be the best constant in the following inequality*
[TABLE]
*where .
If in addition then the potential \big{[}\big{(}\frac{n-2}{2}\big{)}^{2}+\mu_{1}(\Sigma)+\frac{1}{4}\sum_{i=1}^{m}X_{1}^{2}\ldots X_{i}^{2}\big{]}|x|^{-2}+b_{m}V(x) is a maximal potential, that is inequality (75) cannot be improved by adding a non-negative potential in the RHS.
(b) If is a subcritical potential then there exists a best constant such that (75) is true. Moreover the potential \big{[}\big{(}\frac{n-2}{2}\big{)}^{2}+\mu_{1}(\Sigma)+\frac{1}{4}\sum_{i=1}^{m}X_{1}^{2}\ldots X_{i}^{2}\big{]}|x|^{-2}+b_{m}V(x) is a maximal potential.*
Remark. All the above results involve a single point singularity on the boundary. Similar results however can be obtained when there are multiple singularities. For instance we have the following result
Theorem 20
Assume that , , is a bounded domain that satisfies an exterior ball condition at each of the points . Then there exist a positive constant depending only on and and a positive constant such that
[TABLE]
where
[TABLE]
The proof uses ideas that we have used so far in connection with standard partition of unity arguments; we omit further details.
Acknowledgement We would like to thank the referees for their comments which led to a considerable improvement of the presentation of this work. AT acknowledges partial support by ELKE grant, University of Crete.
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