Sharp geometric inequalities for the general $p$-affine capacity
Han Hong, Deping Ye

TL;DR
This paper introduces the general p-affine capacity, explores its properties, and establishes sharp geometric inequalities that extend classical affine isoperimetric and isocapacitary inequalities.
Contribution
It proposes a new concept of p-affine capacity, analyzes its properties, and derives sharp inequalities linking it to classical geometric quantities.
Findings
The general p-affine capacity is affine invariant and monotone.
Sharp inequalities relate the p-affine capacity to volume and surface area.
Extensions of classical isoperimetric inequalities are established.
Abstract
In this article, we propose the notion of the general -affine capacity and prove some basic properties for the general -affine capacity, such as affine invariance and monotonicity. The newly proposed general -affine capacity is compared with several classical geometric quantities, e.g., the volume, the -variational capacity and the -integral affine surface area. Consequently, several sharp geometric inequalities for the general -affine capacity are obtained. These inequalities extend and strengthen many well-known (affine) isoperimetric and (affine) isocapacitary inequalities.
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TopicsPoint processes and geometric inequalities · Geometric Analysis and Curvature Flows · Pharmacological Effects of Medicinal Plants
Sharp geometric inequalities for the general -affine capacity 111Keywords: Asymmetric affine Sobolev inequality, general affine isoperimetric inequality, isocapacitary inequality, affine isoperimetric inequality, affine Sobolev inequality, projection body, -affine capacity, -integral affine surface area, -variational capacity.
Han Hong and Deping Ye
Abstract
In this article, we propose the notion of the general -affine capacity and prove some basic properties for the general -affine capacity, such as affine invariance and monotonicity. The newly proposed general -affine capacity is compared with several classical geometric quantities, e.g., the volume, the -variational capacity and the -integral affine surface area. Consequently, several sharp geometric inequalities for the general -affine capacity are obtained. These inequalities extend and strengthen many well-known (affine) isoperimetric and (affine) isocapacitary inequalities.
2010 Mathematics Subject Classification: 46E30, 46E35, 52A38, 53A15.
1 Introduction
Many objects of interest and fundamental results in convex geometry are related to the projection bodies [22, 24, 25, 33]. For , the projection body of a convex body (i.e., a compact convex subset with nonempty interior) containing the origin in its interior is determined by its support function , whose definition is formulated as follows (up to a multiplicative constant): for any ,
[TABLE]
with the unit outer normal vector of at and denotes the -dimensional Hausdorff measure of , the boundary of (see Section 2 for details on the notations). Define , the -integral affine surface area of , by
[TABLE]
where is the normalized spherical measure on the unit sphere . Let be the unit Euclidean ball in and denote the volume of . The following affine isoperimetric inequality for the -integral affine surface area holds [22, 24, 25, 33, 47]: for and for a convex body with the origin in its interior,
[TABLE]
with equality if and only if if and if for some invertible linear transform on and some . Note that inequality (1.1) is invariant under the volume preserving linear transforms and hence is stronger than the well-known isoperimetric inequality [8, 23, 34]:
[TABLE]
with equality if and only if is an Euclidean ball in (if , the center needs to be at the origin). Here is the -surface area of and can be formulated by
[TABLE]
It is well known that inequality (1.2) can be strengthened by the isocapacitary inequality related to the -variational capacity. For a compact set , its -variational capacity, denoted by , can be formulated by (see e.g. [6, 29, 30])
[TABLE]
where denotes the gradient of and is the set of smooth functions with compact supports in . The -variational capacity is an important geometric invariant which has close connection with the -Laplacian partial differential equation and has important applications in many areas, e.g., analysis, mathematical physics and partial differential equations (see e.g., [6, 29, 30] and references therein). In particular, the Brunn-Minkowski type inequalities and the Hadamard variational formulas for the -variational capacity have been established in, e.g., [1, 2, 4, 5, 17, 18, 19, 49]. The following inequality for the -variational capacity holds [22, 29]: for and for being a Lipschitz star body with the origin in its interior,
[TABLE]
The -variational capacity behaves rather similar to the -surface area and is lack of the affine invariance. Very recently, Xiao [42, 43] introduced an affine relative of the -variational capacity and named it as the -affine capacity. This new notion is denoted by in this article and its definition is equivalent to, as proved in Section 3, the following: for and for a compact set in ,
[TABLE]
where is the -affine energy of :
[TABLE]
The following affine isocapacity inequality was also established in [43, Theorems 3.2 and 3.5] and [42, Theorems 1.3’ and 1.4’]: for and for an origin-symmetric convex body, one has
[TABLE]
The second inequality of (1.5) indeed also holds for any compact set . Again inequality (1.5) is invariant under the volume preserving linear transforms and hence is stronger than inequality (1.4). Moreover, inequality (1.5) can be viewed as the affine relative of inequality (1.4). See e.g., [38, 44, 45] for more works related to affine capacities. We would like to mention that the -affine energy is the key ingredient in many fundamental analytical inequalities, see e.g., [3, 15, 26, 31, 35, 36, 41, 46].
It is our goal in this article to study a concept more general than the -affine capacity and to establish stronger sharp geometric inequalities. The motivation is a result from recent studies, such as, the general affine isoperimetric inequalities and asymmetric affine Sobolev inequalities by Haberl and Schuster [12, 13], asymmetric affine Pólya-Szegö principle by Haberl, Schuster and Xiao [14] and Minkowski valuations by Ludwig [20]. The key in [12] is to replace by its asymmetric counterpart : for any , for any and for a convex body with the origin in its interior,
[TABLE]
for , where
[TABLE]
with and for any . We point out that this extension is a key step from the Brunn-Minkowski theory of convex bodies to the Orlicz theory and its dual (see e.g., [9, 10, 21, 27, 28, 40, 48]). Similarly, the key in [13, 14] is to replace the -affine energy function by its asymmetric counterpart: for any , for any and for any ,
[TABLE]
When , goes back to the -affine energy . It is worth to mention that to deal with is much more challenging than , mainly because the convexifications of level sets of a smooth function in the latter case always contain the origin in their interiors but in the former may not contain the origin in their interiors. These asymmetric extensions have also been widely used to study affine Sobolev type inequalities, the affine Pólya-Szegö principle as well as many other affine isoperimetric inequalities, see e.g., [31, 32, 37, 39].
In Section 3, we provide several equivalent definitions for the general -affine capacity, which will be denoted by . One of them reads: for any , for any and for any compact set ,
[TABLE]
Basic properties for the general -affine capacity, such as, monotonicity, affine invariance, translation invariance, homogeneity and the continuity from above, are established in Section 4. Similarly, the general -integral affine surface area of a Lipschitz star body is defined in Subsection 5.3 by: for any and for any ,
[TABLE]
Note that when , then The sharp geometric inequalities for the general -affine capacity are established in Section 5. Roughly speaking, for a convex body containing the origin in its interior, these sharp geometric inequalities can be summarized as follows: for all and for all , then
[TABLE]
Inequality (1.5) turns out to be a special (and indeed the maximal) case of the above chain of inequalities. Hence, (1.7) extends and strengthens many well-known (affine) isoperimetric and (affine) isocapacitary inequalities, such as, [12, Theorem 1] by Haberl and Schuster, [22, inequality (13)] by Ludwig, Xiao and Zhang, and [43, Theorems 3.2 and 3.5] by Xiao. Moreover, we also prove that, for any and for any ,
[TABLE]
which extends and strengthens, e.g., inequality (1.4), [22, (12)] by Ludwig, Xiao and Zhang, and [43, Remark 2.7] by Xiao. Note that inequalities (1.7) and (1.8) work for more general compact sets than convex bodies, and we will explain the details in Section 5.
2 Background and Notations
A compact set is said to be a star body (with respect to the origin ) if the line segment jointing and , for all , is contained in . For each star body , one can define the radial function of as follows: for all ,
[TABLE]
The star body is said to be a Lipschitz star body if the boundary of is Lipschitz.
A compact convex subset in with nonempty interior is called a convex body. By , we mean the set of all convex bodies with the origin in their interiors. Each is (uniquely) associated with two continuous functions defined on the unit sphere : the radial function and the support function . Hereafter, for ,
[TABLE]
where is the standard inner product of and in . The support function of a convex body can be extended to as follows: for any with . It can be easily checked that the extended function is sublinear, i.e., has the positive homogeneity of degree 1 and satisfies
[TABLE]
for all . On the other hand, if a function is sublinear, then is the support function of a convex body [34]. For each , its polar body is
[TABLE]
It is easily checked that
[TABLE]
The standard notation is for the -dimensional Hausdorff measure. In the case of , we use to denote the volume instead of . In particular, the volume of the unit Euclidean ball , denoted by for simplicity, has the following expression:
[TABLE]
where is the Gamma function
[TABLE]
The Beta function is closely related to the Gamma function, and it has the form
[TABLE]
It is easily checked that
[TABLE]
It is convention to use for the spherical measure of . In later context, the normalized spherical measure is often used, i.e.,
[TABLE]
The volume of each can be calculated by
[TABLE]
where is the classical surface area measure of defined on . Denote by the set of continuous functions on . The classical surface area measure has the following analytic interpretation: for all ,
[TABLE]
where is an outer unit normal vector at , the boundary of . For each , exists almost everywhere on with respect to [34].
A smooth function is a real valued function which is infinitely continuously differentiable. Denote by the set of smooth functions with continuous derivatives of all orders, and by (or ) the set of functions in with compact support in . The gradient of is denoted by . For and , consider the norm
[TABLE]
We also use to denote the maximal value (or supremum) of . The closure of under the norm is denoted by . Note that the Sobolev space is a Banach space and each is a real valued function on with weak partial derivative (see e.g. [6] for more details about the Sobolev space). Hereafter, when is not smooth enough, means the weak partial gradient. By we mean the inner product of and , namely When , is just the directional derivative of along the direction . Clearly is linear about .
For a subset , denotes the indicator function of , that is, if and otherwise [math]. Let be the Euclidean norm of . The distance from a point to a subset , denoted by , is defined by
[TABLE]
Note that if , the closure of , then .
For any real number , define the level set of by
[TABLE]
For all , is a compact set. The Sard’s theorem implies that, for almost every , the smooth submanifold
[TABLE]
has nonzero normal vector for all . Denoted by and
[TABLE]
An often used formula in our proofs is the well-known Federer’s coarea formula (see [7], p.289): suppose that is an open set in and is a Lipschitz function, then
[TABLE]
for any measurable function .
Denote by the subset of that contains nonnegative real numbers. Let be the function given by formula (1.6), that is, for and ,
[TABLE]
It is easily checked that has positive homogeneous of degree 1 and subadditive, i.e.
[TABLE]
Special cases, which are commonly used, are , and . We would like to mention that the function for each given by
[TABLE]
is also commonly used in convex geometry (see e.g. [12, 20]). However, if we let
[TABLE]
then \psi_{\eta}^{p}=\big{(}(1+\eta)^{p}+(1-\eta)^{p}\big{)}\cdot\varphi_{\tau}^{p}. In later context, the theory for the general -affine capacity will be developed only based on because it is more convenient to prove the convexity or concavity of the general -affine capacity with .
We shall need the following result (see, e.g., [11, Lemma 1.3.1 (ii)]), which is crucial in the computation of involved integral on .
Lemma 2.1**.**
If and is a bounded Lebesgue integrable function on , then , considered as a function of , is integrable with respect to the normalized spherical measure . Moreover,
[TABLE]
It can be easily checked that for
[TABLE]
In particular, if , it follows from (1.6) and Lemma 2.1 that, for and for any ,
[TABLE]
3 The general -affine capacity
In this section, the general -affine capacity is proposed and several equivalent formulas for the general -affine capacity are provided. Throughout, the general -affine capacity of a compact set will be denoted by For convenience, let
[TABLE]
For each , let , and
[TABLE]
Definition 3.1**.**
Let be a compact subset in and the function be as in (2.14). For , define the general -affine capacity of by
[TABLE]
Remark. For any compact set and for any , if . According to the proofs of (4.20) and Theorem 4.1, the desired boundedness argument follows if is verified. To this end, let and . Consider
[TABLE]
It can be checked that and has its weak derivative to be
[TABLE]
This further implies that, together with Fubini’s theorem, (2.15) and (2.16),
[TABLE]
It follows from (3.17) that
[TABLE]
By Definition 3.1, for ,
[TABLE]
We would like to mention that the general -affine capacity can be also defined for along the same manner in Definition 3.1, however in these cases the general -affine capacities are trivial. For instance, if ,
[TABLE]
and hence, again due to the proofs of (4.20) and Theorem 4.1, for any compact set and for any . The case for can be seen intuitively from the above estimate with instead, but more details for will be discussed in Theorem 5.1. The precise value of will be provided in formulas (5.26) and (5.27).
As , one gets the -affine capacity defined by Xiao in [42, 43]:
[TABLE]
As one has
[TABLE]
which will be called the asymmetric -affine capacity and denoted by instead of for better intuition. Similarly, as one can have the following -affine capacity:
[TABLE]
The following theorem plays important roles in later context. For a compact set , let
[TABLE]
Theorem 3.1**.**
Let and be a compact set in . Then
[TABLE]
Moreover, the general -affine capacity is upper-semicontinuous: for any , there exists an open set such that for any compact set with ,
[TABLE]
Proof.
Our proof is based on the standard technique in [30] and is similar to that in [43, 45]. A short proof is included for completeness. Recall that . Due to , one has
[TABLE]
On the other hand, for any , let satisfy that
[TABLE]
For there are functions , such that, for all ,
[TABLE]
in a neighborhood of , and in a neighborhood of It follows from the chain rule in [6, Theorem 4 on p.129] and the homogeneity of (see (2.15)) that, for all , and
[TABLE]
Taking first and then letting , one gets
[TABLE]
and hence the following desired formula holds:
[TABLE]
Now let us prove the upper-semicontinuity. For any given , let and be a neighborhood of such that on and
[TABLE]
On the other hand, for any compact set such that , one has and hence
[TABLE]
by Definition 3.1. The desired inequality follows from the above two inequalities. ∎
Our next result regarding the definition of the general -affine capacity for compact sets is to replace by the bigger set
[TABLE]
Theorem 3.2**.**
Let and be a compact set in . Then
[TABLE]
Proof.
It follows from (2.14) and [16, Lemma 1.19] that, for any and for any ,
[TABLE]
Hence, for any and all , one has
[TABLE]
This further implies that for any . Let be such that
[TABLE]
Then is a sequence in . Definition 3.1 yields
[TABLE]
This concludes that
[TABLE]
On the other hand, as , the following inequality holds trivially:
[TABLE]
Combining the above two inequalities, one has ∎
The following result asserts that in Definition 3.1, Theorems 3.1 and 3.2 could be replaced by . The smoothness of functions is convenient in establishing many properties for the general -affine capacity.
Theorem 3.3**.**
Let and be a compact set in . For any , one has
[TABLE]
Proof.
Let . Let , i.e., such that in and in , a neighborhood of . As is the closure of under , there is a sequence such that in , i.e.,
[TABLE]
Without loss of generality, we can assume that for all To see this, from the regularization technique (see, e.g., [16]), one can choose a cut off function , such that, on , on and in a neighborhood (contained in ) of . Let
[TABLE]
Clearly, , such that, in a neighborhood (contained in ) of and on . This implies for all . Moreover, and hence
[TABLE]
Let be such that in . It can be checked that, for any ,
[TABLE]
This together with (2.14) yield, for any and for all ,
[TABLE]
where we have let be the constant
[TABLE]
It follows from the triangle inequality that, for any , for any and for any ,
[TABLE]
Consequently, for any , for any and for any , one has
[TABLE]
By Fatou’s lemma, one has
[TABLE]
It follows from Theorem 3.1 that, by taking the infimum over ,
[TABLE]
It is easily checked that, due to ,
[TABLE]
and hence equality holds, as desired.
The desired formula (3.18) follows, due to , once the following inequality is proved:
[TABLE]
This inequality follows along the same lines as the proof of Theorem 3.1. In fact, for any , let satisfy that
[TABLE]
Let be as in Theorem 3.1. Then, and
[TABLE]
Taking first and then letting , one gets
[TABLE]
as desired. ∎
It follows from (2.15) and that, for all and ,
[TABLE]
Moreover, for and for any , by the Minkowski’s inequality, one has
[TABLE]
Hence, , as a function of , is sublinear. According to the proof of [31, Lemma 3.1] (or [13, Lemma 2]), if , then and is the support function of a convex body in . Let be the convex body. An application of (2.9) and (2.10) yields (see also [31, (3.2)])
[TABLE]
Taking the infimum over , Theorem 3.1 implies that for any compact set , for any and for any ,
[TABLE]
This provides a connection of the general -affine capacity with the volume of convex bodies.
The general -affine capacity of a general bounded measurable set can be defined as well. In fact, for a bounded open set,
[TABLE]
Then the general -affine capacity of a bounded measurable set is formulated by
[TABLE]
In later context of this article, we only concentrate on the general -affine capacity for compact sets. We would like to mention that many properties proved in Section 4, such as, monotonicity, affine invariance and homogeneity etc, for compact sets could work for general sets too.
4 Properties of the general -affine capacity
This section aims to establish basic properties for the general -affine capacity, such as, monotonicity, affine invariance, translation invariance, homogeneity and the continuity from above.
The following result provides the properties of as a function of .
Corollary 4.1**.**
Let and be a compact set in . The following properties hold.
- i)
For any one has
[TABLE]
- ii)
For any and for any , one has
[TABLE]
Proof.
i) Let . Then for any , one has
[TABLE]
This leads to, as , for any ,
[TABLE]
It follows from Definition 3.1 that, for any , for any and for any compact set ,
[TABLE]
ii) For any and for any it follows from (1.6) that, for any ,
[TABLE]
which implies
[TABLE]
According to the proof of [31, Lemma 3.1] (or [13, Lemma 2]), if . The reverse Minkowski inequality yields that for any and for any
[TABLE]
Taking the infimum over , by Theorem 3.1,
[TABLE]
holds for any and for any ∎
From Corollary 4.1, one sees that, for any and for any compact set , holds if and holds if In particular, for any , one has
[TABLE]
Given two compact sets , one sees and hence the general -affine capacity is monotone by Definition 3.1, namely,
[TABLE]
The general -affine capacity is also translation invariant. To see this, let and consider the function for any . It is easily checked that if and only if . Moreover, , and thus Taking the infimum over from both sides, by Definition 3.1, for any and for any compact set ,
[TABLE]
An interesting (and common for many capacities) fact for the general -affine capacity is that
[TABLE]
for any compact set . To see this, let be given. There exists such that
[TABLE]
Let on and on . It can be checked, along the manner same as the proof of Theorem 3.2, that and
[TABLE]
Consequently, due to Definition 3.1,
[TABLE]
Letting , one gets
[TABLE]
The monotonicity of the general -affine capacity yields that
[TABLE]
and hence holds for all compact set .
Let be the group of all invertible linear transforms defined on . For , denote by and the transpose of and the determinant of , respectively. The affine invariance of the general -affine capacity is stated in the following theorem.
Theorem 4.1**.**
The general -affine capacity has the affine invariance and homogeneity: for any and for any compact set ,
[TABLE]
In particular, the general -affine capacity is affine invariant: for any with ,
[TABLE]
Moreover, the general -affine capacity has positive homogeneity of degree , i.e.,
[TABLE]
for all , where .
Proof.
For and , one has . For simplicity, assume that . Thus, by ,
[TABLE]
where the second equality follows from the chain rule
[TABLE]
By letting , it follows from (2.15) that
[TABLE]
Consequently, . Taking the infimum over from both sides, which is equivalent to taking the infimum over from the left hand side, one gets the affine invariance: for all with , then
[TABLE]
For the homogeneity, let be given. For any , one sees where for all . It is easily checked, by letting , that
[TABLE]
which further implies that The desired formula follows immediately by Definition 3.1 and by taking the infimum over .
Finally, we consider be an invertible linear transform. Then
[TABLE]
has . Hence, the affine invariance and the homogeneity yield that, for all ,
[TABLE]
This concludes the proof. ∎
The continuity from above for the general -affine capacity is stated in the following theorem.
Theorem 4.2**.**
The general -affine capacity is continuous from above: if is a decreasing sequence of compact sets, then
[TABLE]
Proof.
Recall that the general -affine capacity of the compact set is finite. It follows from the monotonicity that, for all ,
[TABLE]
and hence exists and is finite. Moreover, the monotonicity of the general -affine capacity also yields
[TABLE]
The desired formula (4.21) follows if we prove the following inequality:
[TABLE]
First of all, the set is clearly compact. By Definition 3.1 and Theorem 3.3, for any , one can find a smooth function , such that, and
[TABLE]
Let Then, and for big enough. Together with (2.15), Definition 3.1 and the monotonicity of the general -affine capacity, one has
[TABLE]
Taking , one gets the desired inequality
[TABLE]
and this concludes the proof. ∎
Note that one cannot expect to have the subadditivity for the general -affine capacity, even for ; see [45] for the details. It is not clear whether the general -affine capacity has the continuity from below.
5 Sharp geometric inequalities for the general -affine capacity
This section aims to establish several sharp geometric inequalities for the general -affine capacity. In particular, the general -affine capacity is compared with the -variational capacity, the general -integral affine surface areas and the volume.
5.1 Comparison with the -variational capacity
This subsection aims to compare the general -affine capacity and the -variational capacity. For and a compact set , the -variational capacity of , denoted by , is formulated by
[TABLE]
Of course, the set in the above definition for the -variational capacity could be replaced by and (see e.g., [6, 30]). The -variational capacity is fundamental in many areas, such as, analysis, geometry and physics. It has many properties similar to those for the general -affine capacity, such as, homogeneity, monotonicity; however the -variational capacity does not have the affine invariance.
The comparison between the general -affine capacity and the -variational capacity is stated in the following theorem. The case was discussed in [43, Remark 2.7] and [42, Theorem 1.5’]. Let be the constant given in (2.16).
Theorem 5.1**.**
Let and be a compact set. For any , one has
[TABLE]
Proof.
According to the proof of [31, Lemma 3.1] (or [13, Lemma 2]), for any , for any and for any . By Jensen’s inequality, Fubini’s theorem, (2.15) and (2.16), one has, for any ,
[TABLE]
where (depending on ) is given by
[TABLE]
Taking the infimum over , one has, by Theorem 3.3 and the definition of the -variational capacity,
[TABLE]
holds for any , for any and for any compact set . ∎
It is well known (see e.g., [30, (2.2.13) and (2.2.14)]) that
[TABLE]
for , for , and Hence, for any ,
[TABLE]
holds for any , and
[TABLE]
Following along the same lines as the proof of Theorem 5.1, one has, for any and for any ,
[TABLE]
Again due to the proofs of (4.20) and Theorem 4.1, for any , for any and for any compact set .
5.2 Affine isocapacitary inequalities
This subsection dedicates to establish the affine isocapacitary inequality which compares the general -affine capacity with the volume. An ellipsoid is a convex body of form for some and .
Theorem 5.2**.**
Let . For any and for any compact set , one has
[TABLE]
with equality if is an ellipsoid.
Proof.
Let , and be a compact set. It follows from [13, inequality (5.8)] that for , and
[TABLE]
where is the derivative of with respect to . Recall that for any real number and for any ,
[TABLE]
Note that . Together with Jensen’s inequality, one has, for ,
[TABLE]
Together with (5.22), Theorem 3.3 and Corollary 4.1, for any and for any ,
[TABLE]
Let in inequality (5.25). Then, for any and for any ,
[TABLE]
Together with (5.23), one gets, for any and for any ,
[TABLE]
Hence, inequality (5.25) can be rewritten as, for any , for any and for any compact set ,
[TABLE]
Now let us consider the case . For , it can be checked, due to the dominated convergence theorem, that for any and for any ,
[TABLE]
By Fatou’s lemma, one has
[TABLE]
It follows from Theorem 3.3, after taking the infimum over , that for any and for any compact set ,
[TABLE]
In particular, by (5.24) and (5.26), one has
[TABLE]
This gives the precise value of :
[TABLE]
and hence inequality (5.25) yields
[TABLE]
for any and for any compact set , as desired.
Due to the affine invariance and the translation invariance, it is trivial to see that equality holds if is an ellipsoid.∎
Theorem 5.2 asserts that the general -affine capacity attains the minimum, among all compact sets with fixed volume, at ellipsoids. It also asserts that ellipsoids have the maximal volumes among all compact sets with fixed general -affine capacity. When , one recovers the affine isocapacitary inequality for the -affine capacity proved in [43, Theorem 3.2] and [42, Theorem 1.3’]. Recall that the isocapacitary inequality for the -variational capacity reads: for any and any compact set ,
[TABLE]
It follows from Theorem 5.1 that the affine isocapacitary inequality in Theorem 5.2 is stronger than the isocapacitary inequality for the -variational capacity. That is, for any , for any and for any compact set ,
[TABLE]
Moreover, combining the above inequality with [22, (12)], when is a Lipschitz star body with the origin in its interior, the following inequality holds: for any and for any ,
[TABLE]
where denotes the -surface area of given by formula (1.3).
5.3 Connection with the general -integral affine surface area
In this subsection, we explore the relation between the general -affine capacity and the general -integral affine surface area. Throughout, denote by the set of all Lipschitz star bodies (with respect to the origin ) containing in their interiors. For a Lipschitz star body , let denote the unit outer normal vector of at (sometimes may be abbreviated as ). Let , the core of , be given by
[TABLE]
According to [22, Lemma 5], for each Lipschitz star body , one has
[TABLE]
for almost all .
For and , define , the general projection body of , to be the convex body with support function ; namely, for any ,
[TABLE]
Note that is bounded on because is Lipschitz continuous on , and hence is finite. The general projection body can be defined for more general sets in , such as compact domains (i.e., the closure of bounded open sets) with piecewise boundaries (or compact domains with finite perimeters). When , formula (2.11) yields that, for any ,
[TABLE]
Denote by the general -projection function of . The general -integral affine surface area of is defined by
[TABLE]
where is the normalized spherical measure and is the polar body of . When , one gets the -integral affine surface area of in, e.g., [22, 47]. The case defines the asymmetric -integral affine surface area, denoted by , of . Similarly, one can also define if . When , by (2.16), (5.26) and (5.27), for any and for any ,
[TABLE]
It can be checked that for any ,
[TABLE]
Similar to the proof of Corollary 4.1, the following properties for the general -integral affine surface area can be proved. One cannot expect that the general -integral affine surface area has the translation invariance (unless , see following Proposition 5.1) and monotonicity.
Corollary 5.1**.**
Let and . The following statements hold:
- i)
for any
[TABLE]
- ii)
for any and for any ,
[TABLE]
- iii)
for any ,
[TABLE]
- iv)
if then
[TABLE]
and if then
[TABLE]
By , we mean the set of all compact domains with piecewise boundaries. Again, for , its outer unit normal vector is denoted by for . In the following proposition, we show that the general -affine capacity and the general -integral affine surface area are all equal to the -affine capacity (or equivalently, the -integral affine surface area) for any .
Proposition 5.1**.**
Let be a compact domain with piecewise boundary. For any , one has
[TABLE]
Proof.
We first prove for ; it follows immediately from Theorem 3.3 once is established for any . To this end, for any and for any ,
[TABLE]
Note that (5.30) together with the Minkowski existence theorem leads to the powerful convexification technique, see e.g., [46, p.189-190]. For almost every with , it follows from the Sard’s theorem, (2.13) and (5.30) that, for any ,
[TABLE]
This concludes the proof of for .
On the other hand, for any ,
[TABLE]
where the third equality follows again from (5.30). Consequently, for any and for any ,
[TABLE]
Finally, let us prove that holds for any . For each function , it follows from (2.13), (2.15), and for any that
[TABLE]
where is the projection of onto and denotes the number of elements of a set (see e.g., [47]). Thus, for any and for any ,
[TABLE]
Due to Theorem 3.3, by taking the infimum over , one gets, for any ,
[TABLE]
For the opposite direction, let be small enough and consider
[TABLE]
It has been proved in [46] that for any ,
[TABLE]
Note that for any small enough. It follows from Theorem 3.1 that, for any ,
[TABLE]
where the second inequality is due to Fatou’s lemma. This concludes the proof of
[TABLE]
for any . ∎
When is an origin-symmetric convex body, the equality was proved in [44, Theorem 2]; Proposition 5.1 extends it to all Lipschitz star bodies . The proof of basically relies on the smoothness (and the convexification) of instead of the compact domain itself; hence, the argument holds for any compact set and for any . The assumption is imposed here mainly in order to have well defined and finite. As commented in [47, p.247], the assumption could be relaxed to more general compact domains (such as compact domains with finite perimeters). Recall the affine isoperimetric inequality for the -integral affine surface area: for ,
[TABLE]
with equality if and only if is an ellipsoid. Then Proposition 5.1 yields that for any and for any ,
[TABLE]
with equality if and only if is an ellipsoid.
The following theorem compares the general -affine capacity and the general -integral affine surface area. We only concentrate on as the case has been discussed in Proposition 5.1. When and is an origin-symmetric convex body, it recovers [43, Theorem 3.5].
Theorem 5.3**.**
Let and . The following inequality
[TABLE]
holds with equality if is an origin-symmetric ellipsoid.
Proof.
Let and . Define the function by: for ,
[TABLE]
Let f(x)=g\big{(}\frac{1}{\rho_{K}(x)}\big{)}. Then and . From (2.12) and the fact that is strictly decreasing on , it follows that, for all with ,
[TABLE]
That is, for any . Together with [22, Lemma 6], for any , there exists with such that
[TABLE]
By (2.13), one has, for any ,
[TABLE]
It follows from (3.17) and (5.28) that
[TABLE]
A standard limiting argument together with Definition 3.1 show that, for any , for any and for any ,
[TABLE]
By (5.29), the above inequality can be rewritten as
[TABLE]
Clearly equality holds in the above inequality if . Due to the affine invariance of both and , equality holds in the above inequality if is an origin-symmetric ellipsoid. ∎
Together with [22, (13)], Corollary 5.1 and Theorem 5.2, for any , for any and for any , one has,
[TABLE]
with equality if is an origin-symmetric ellipsoid. Inequality (5.31) extends several known results in the literature. For example, inequality (5.31) strengthens the following (affine) isoperimetric inequality (see [22, inequality (13)]): for and for any ,
[TABLE]
Moreover, inequality (5.31) holds for all , and hence it extends the following affine isoperimetric inequality (5.32) for convex bodies to Lipschitz star bodies: for any , for any and for any ,
[TABLE]
which is an immediate consequence of the general affine isoperimetric inequality for the general projection body [12].
Acknowledgments. DY is supported by a NSERC grant.
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