Indecomposable sets of finite perimeter in doubling metric measure spaces
Paolo Bonicatto, Enrico Pasqualetto, Tapio Rajala

TL;DR
This paper investigates the structure of finite perimeter sets in doubling metric measure spaces, providing a decomposition into indecomposable parts and characterizing extreme points of BV functions under isotropicity conditions.
Contribution
It introduces a measure-theoretic connectedness concept and proves a decomposition theorem and a characterization of extreme points in BV spaces in this setting.
Findings
Decomposition of finite perimeter sets into indecomposable components.
Characterization of extreme points in BV functions.
Requires isotropicity assumption related to perimeter measure.
Abstract
We study a measure-theoretic notion of connectedness for sets of finite perimeter in the setting of doubling metric measure spaces supporting a weak -Poincar\'{e} inequality. The two main results we obtain are a decomposition theorem into indecomposable sets and a characterisation of extreme points in the space of BV functions. In both cases, the proof we propose requires an additional assumption on the space, which is called isotropicity and concerns the Hausdorff-type representation of the perimeter measure.
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Indecomposable sets of finite perimeter in doubling metric measure spaces
Paolo Bonicatto, Enrico Pasqualetto, and Tapio Rajala
Departement Mathematik und Informatik, Universität Basel, Spiegelgasse 1, CH-4051, Basel, Switzerland
University of Jyvaskyla
Department of Mathematics and Statistics
P.O. Box 35 (MaD)
FI-40014 University of Jyvaskyla
Finland
Abstract.
We study a measure-theoretic notion of connectedness for sets of finite perimeter in the setting of doubling metric measure spaces supporting a weak -Poincaré inequality. The two main results we obtain are a decomposition theorem into indecomposable sets and a characterisation of extreme points in the space of BV functions. In both cases, the proof we propose requires an additional assumption on the space, which is called isotropicity and concerns the Hausdorff-type representation of the perimeter measure.
Key words and phrases:
Set of finite perimeter, PI space, indecomposable set
2010 Mathematics Subject Classification:
26B30, 53C23
Contents
Introduction
The classical Euclidean theory of functions of bounded variation and sets of finite perimeter – whose cornerstones are represented, for instance, by [13, 15, 20, 27, 34, 6] – has been successfully generalised in different directions, to several classes of metric structures. Amongst the many important contributions in this regard, we just single out the pioneering works [10, 24, 26, 14, 9, 8]. Although the basic theory of BV functions can be developed on abstract metric measure spaces (see, e.g., [5]), it is in the framework of doubling spaces supporting a weak -Poincaré inequality (in the sense of Heinonen–Koskela [28]) that quite a few fine properties are satisfied (see [1, 2, 36]).
The aim of the present paper is to study the notion of indecomposable set of finite perimeter on doubling spaces supporting a weak -Poincaré inequality (that we call PI spaces for brevity). By indecomposable set we mean a set of finite perimeter that cannot be written as disjoint union of two non-negligible sets satisfying . This concept constitutes the measure-theoretic counterpart to the topological notion of ‘connected set’ and, as such, many statements concerning connectedness have a correspondence in the context of indecomposable sets.
In the Euclidean framework, the main properties of indecomposable sets have been systematically investigated by L. Ambrosio, V. Caselles, S. Masnou, and J.-M. Morel in [4]. The results of this paper are mostly inspired by (and actually extend) the contents of [4]. In the remaining part of the Introduction, we will briefly describe our two main results: the decomposition theorem for sets of finite perimeter and the characterisation of extreme points in the space of BV functions. In both cases, the natural setting to work in is that of PI spaces satisfying an additional condition – called isotropicity – which we are going to describe in the following paragraph.
Let be a PI space and a set of finite perimeter; we refer to Section 1 for the precise definition of perimeter and the terminology used in the following. The perimeter measure associated to can be written as , where stands for the codimension-one Hausdorff measure on , while is the essential boundary of (i.e., the set of points where neither the density of nor that of its complement vanishes) and is a suitable density function; cf. Theorem 1.23. The integral representation formula was initially proven in [1] only for Ahlfors-regular spaces, and this additional assumption has been subsequently removed in [2]. It is worth to point out that the weight function might (and, in some cases, does) depend on the set itself; see, for instance, Example 1.26. In this paper, we mainly focus our attention on those PI spaces where is independent of , which are said to be isotropic (the terminology comes from [7]). As we will discuss in Example 1.29, the class of isotropic PI spaces includes weighted Euclidean spaces, Carnot groups of step and non-collapsed spaces. Another key feature of the theory of sets of finite perimeter in PI spaces is given by the relative isoperimetric inequality (see Theorem 1.17 below), which has been obtained by M. Miranda in the paper [36].
Our main result (namely, Theorem 2.14) states that on isotropic PI spaces any set of finite perimeter can be written as (finite or countable) disjoint union of indecomposable sets. Moreover, these components – called essential connected components of – are uniquely determined and maximal with respect to inclusion, meaning that any indecomposable subset of must be contained (up to null sets) in one of them. We propose two different proofs of this decomposition result, in Sections 2 and 4, respectively. The former is a variational argument that was originally carried out in [4], while the latter is adapted from [31] and based on Lyapunov’s convexity theorem. However, both approaches strongly rely upon three fundamental ingredients: representation formula for the perimeter measure, relative isoperimetric inequality, and isotropicity. We do not know whether the last one is in fact needed for the decomposition to hold (see also Example 2.16).
Furthermore, in Section 3 we study the extreme points in the space of functions of bounded variation defined over ; we are again assuming to be an isotropic PI space. More precisely: call the family of all those functions supported in , whose total variation satisfies (where is a fixed compact set). Then we can completely characterise (under a few additional assumptions) the extreme points of as a convex, compact subset of ; see Theorem 3.8. It turns out that these extreme points coincide (up to a sign) with the normalised characteristic functions of simple sets (cf. Definition 3.1). In the Euclidean case, the very same result was proven by W. H. Fleming in [21, 22] (see also [12]). Part of Section 3 is dedicated to some equivalent definitions of simple set: in the general framework of isotropic PI spaces, a plethora of phenomena concerning simple sets may occur, differently from what happens in (see [4]). For more details, we refer to the discussion at the beginning of Subsection 3.1.
Acknowledgements. The first named author acknowledges ERC Starting Grant 676675 FLIRT. The second and third named authors are partially supported by the Academy of Finland, projects 274372, 307333, 312488, and 314789.
1. Preliminaries
For our purposes, by metric measure space we mean a triple , where is a complete and separable metric space, while is a non-negative, locally finite Borel measure on . For any open set we denote by the space of all -valued locally Lipschitz functions on , while is the family of all those Lipschitz functions whose support is bounded. Given any , we define the functions as
[TABLE]
whenever is an accumulation point, and elsewhere. We call and the local Lipschitz constant and the asymptotic Lipschitz constant of , respectively.
We denote by the family of all real-valued Borel functions on , considered up to -a.e. equality. For any given exponent , we indicate by and the spaces of all -integrable functions and locally -integrable functions, respectively. Given an open set and any , we write to specify that is bounded and .
1.1. Functions of bounded variation
In the framework of general metric measure spaces, the definition of function of bounded variation – which is typically abbreviated to ‘BV function’ – has been originally introduced in [36] and is based upon a relaxation procedure. Let us recall it:
Definition 1.1** (Function of bounded variation).**
Let be a metric measure space. Fix any function . Given any open set , we define the total variation of on as
[TABLE]
Then is said to be of bounded variation – briefly, – if and .
We can extend the function defined in (1.1) to all Borel sets via Carathéodory construction:
[TABLE]
This way we obtain a finite Borel measure on , which is called the total variation measure of .
Proposition 1.2** (Basic properties of BV functions).**
Let be a metric measure space. Let . Let be Borel and open. Then the following properties hold:
Lower semicontinuity.* The function is lower semicontinuous with respect to the -topology: namely, given any sequence such that in the -topology, it holds that .*
Subadditivity.* It holds that \big{|}D(f+g)\big{|}(B)\leq|Df|(B)+|Dg|(B).*
Compactness.* Let be a sequence satisfying . Then there exist a subsequence and some such that in .*
Remark 1.3**.**
Let be a metric measure space. Fix and . Then
[TABLE]
Indeed, pick any such that in and . Therefore, it holds that the sequence satisfies in and for all . We thus conclude that
[TABLE]
which yields the statement.
We conclude this subsection by briefly recalling an alternative (but equivalent) approach to the theory of BV functions on abstract metric measure spaces, which has been proposed in [16, 17].
A derivation over a metric measure space is a linear map such that the following properties are satisfied:
Leibniz rule. for every .
Weak locality. There exists a non-negative function such that
[TABLE]
The least function (in the -a.e. sense) having this property is denoted by .
The space of all derivations over is denoted by . The support of a derivation is defined as the essential closure of the set \big{\{}|\boldsymbol{b}|\neq 0\big{\}}. Given any with , we say that for some provided there exists a (necessarily unique) function such that for every . The space of all derivations with and is denoted by .
Theorem 1.4** (Representation formula for via derivations).**
Let be a metric measure space. Let be given. Then for every open set it holds that
[TABLE]
For a proof of the above representation formula, we refer to [16, Theorem 7.3.4].
1.2. Sets of finite perimeter
The study of sets of finite perimeter on abstract metric measure spaces has been initiated in [36] (where, differently from here, the term ‘Caccioppoli set’ is used). In this subsection we report the definition of set of finite perimeter and its basic properties, more precisely the ones that are satisfied on any metric measure space (without any further assumption).
Definition 1.5** (Set of finite perimeter).**
Let be a metric measure space. Fix any Borel set . Let us define
[TABLE]
The quantity is called perimeter of in . Then the set has finite perimeter provided
[TABLE]
The finite Borel measure on is called the perimeter measure associated to .
Remark 1.6**.**
Given a Borel set satisfying , it holds that has finite perimeter if and only if .
Proposition 1.7** (Basic properties of sets of finite perimeter).**
Let be a metric measure space. Let be sets of finite perimeter. Let be Borel and open. Then:
Locality.* If \mathfrak{m}\big{(}(E\Delta F)\cap B\big{)}=0, then .*
Lower semicontinuity.* The function is lower semicontinuous with respect to the -topology: namely, if is a sequence of Borel subsets of such that the convergence holds in as , then .*
Subadditivity.* It holds that .*
Complementation.* It holds that .*
Compactness.* Let be a sequence of Borel subsets of with . Then there exist a subsequence and a Borel set such that in the -topology as .*
1.3. Fine properties of sets of finite perimeter in PI spaces
The first aim of this subsection is to recall the definition of PI space and its main properties; we refer to [29] for a thorough account about this topic. Thereafter, we shall recall the definition of essential boundary and the main properties of sets of finite perimeter in PI spaces – among others, the isoperimetric inequality, the coarea formula, and the Hausdorff representation of the perimeter measure. Finally, we will discuss the class of isotropic PI spaces, which plays a central role in the rest of the paper.
Definition 1.8** (Doubling measure).**
A metric measure space is said to be doubling provided there exists a constant such that
[TABLE]
The least such constant is called the doubling constant of .
Remark 1.9**.**
Note that any doubling measure satisfies \mathfrak{m}\big{(}B_{r}(x)\big{)}>0 for all and , otherwise it would be the null measure. Equivalently, it holds that .
Doubling spaces do not have a definite dimension (not even locally), but still are ‘finite-dimensional’ – in a suitable sense. In light of this, it makes sense to consider the codimension-one Hausdorff measure , defined below via Carathéodory construction, which takes into account the local change of dimension of the underlying space.
Definition 1.10** (Codimension-one Hausdorff measure).**
Let be a doubling metric measure space. Given any set and any parameter , we define
[TABLE]
Then we define the codimension-one Hausdorff measure on as
[TABLE]
Both and are Borel regular outer measures on . Moreover, for any set of finite perimeter we have that holds whenever is a Borel set satisfying .
Definition 1.11** (Ahlfors-regularity).**
Let be a metric measure space. Let be fixed. Then we say that is -Ahlfors-regular if there exist two constants such that
[TABLE]
It can be readily checked that any Ahlfors-regular space is doubling, with .
Definition 1.12** (Weak -Poincaré inequality).**
A metric measure space is said to satisfy a weak -Poincaré inequality provided there exist constants and such that for any function and any upper gradient of it holds that
[TABLE]
*where f_{x,r}\coloneqq\mathfrak{m}\big{(}B_{r}(x)\big{)}^{-1}\int_{B_{r}(x)}f\,{\mathrm{d}}\mathfrak{m} stands for the mean value of in the ball . *
Lemma 1.13** (Poincaré inequality for BV functions).**
Let be a metric measure space satisfying a weak -Poincaré inequality. Let be such that . Then
[TABLE]
Proof.
A standard diagonalisation argument provides us with a sequence (f_{n})_{n}\subset{\rm LIP}_{\rm loc}\big{(}B_{\lambda r}(x)\big{)} such that in and |Df|\big{(}B_{\lambda r}(x)\big{)}=\lim_{n}\int_{B_{\lambda r}(x)}{\rm lip}(f_{n})\,{\mathrm{d}}\mathfrak{m}. Given that the local Lipschitz constant is an upper gradient of the function , it holds that
[TABLE]
By dominated convergence theorem we know that \int_{B_{r}(x)}\big{|}f_{n}-(f_{n})_{x,r}\big{|}\,{\mathrm{d}}\mathfrak{m}\to\int_{B_{r}(x)}|f-f_{x,r}|\,{\mathrm{d}}\mathfrak{m} as . Therefore, by letting in (1.5) we conclude that the claim (1.4) is verified. ∎
For the purposes of this paper, we shall only consider the following notion of PI space (which is strictly more restrictive than the usual one, where a weak -Poincaré inequality is required for some exponent that is possibly greater than ):
Definition 1.14** (PI space).**
We say that a metric measure space is a PI space provided it is doubling and satisfies a weak -Poincaré inequality.
We introduce the concept of essential boundary in a doubling metric measure space and its main features. The discussion is basically taken from [1, 2], apart from a few notational discrepancies.
Given a doubling metric measure space , a Borel set and a point , we define the upper density of at and the lower density of at as
[TABLE]
respectively. Whenever upper and lower densities coincide, their common value is called density of at and denoted by . We define the essential boundary of the set as
[TABLE]
It clearly holds that the essential boundary is contained in the topological boundary . Moreover, we define the set of points of density as
[TABLE]
Finally, we define the essential interior of as
[TABLE]
Clearly, it holds that : if then , so .
Remark 1.15**.**
Let be given. Then
[TABLE]
Indeed, fix any . Then , thus accordingly . This forces , so that . Hence, the claim (1.6) is proven.
The following result is well-known. We report here its full proof for the reader’s convenience.
Proposition 1.16** (Properties of the essential boundary).**
Let be a doubling metric measure space. Let be sets of finite perimeter. Then the following properties hold:
It holds that .
We have that
[TABLE]
If , then .
If , then .
Proof.
i) It trivially stems from the very definition of essential boundary.
ii) First of all, fix . Note that , as it follows from
[TABLE]
Therefore, the fact that implies either or . Furthermore, we have that \overline{D}(E^{c},x),\overline{D}(F^{c},x)\geq\overline{D}(E^{c}\cap F^{c},x)=\overline{D}\big{(}(E\cup F)^{c},x\big{)}>0, whence .
In order to prove that even the inclusion is verified, it is just sufficient to combine the previous case with item i):
[TABLE]
Hence, the proof of (1.7) is complete.
iii) Pick any point . First of all, notice that . Moreover, it holds that
[TABLE]
whence either \overline{D}\big{(}(E\cup F)^{c},x\big{)}>0 or . This shows that .
iv) Item ii) grants that . Conversely, item iii) yields
[TABLE]
thus obtaining the identity . ∎
In the setting of PI spaces, functions of bounded variation and sets of finite perimeters present several fine properties, as we are going to describe.
Theorem 1.17** (Relative isoperimetric inequality on PI spaces [36]).**
Let be a PI space. Then there exists a constant such that the relative isoperimetric inequality is satisfied: given any set of finite perimeter, it holds that
[TABLE]
for every and , where is any exponent greater than .
Theorem 1.18** (Global isoperimetric inequality on Ahlfors regular PI spaces).**
Let be a -Ahlfors regular PI space, with . Then there exists a constant such that
[TABLE]
Proof.
As proven in [36], there exists a constant such that
[TABLE]
for every and . By letting in (1.10), we conclude that (1.9) is satisfied. ∎
Theorem 1.19** (Coarea formula [36]).**
Let be a PI space. Fix and an open set . Then the function \mathbb{R}\ni t\mapsto{\sf P}\big{(}\{f>t\},\Omega\big{)}\in[0,+\infty] is Borel measurable and it holds
[TABLE]
In particular, if , then has finite perimeter for a.e. .
Remark 1.20**.**
Given a PI space and any point , it holds that the set has finite perimeter for a.e. radius . This fact follows from the coarea formula (by applying it to the distance function from ). Furthermore, it also holds that {\mathcal{H}}\big{(}\partial B_{r}(x)\big{)}<+\infty for a.e. , as a consequence of [2, Proposition 5.1].
A function is said to be simple provided it can be written as , for some and some sets of finite perimeter having finite -measure. It holds that any function of bounded variation in a PI space can be approximated by a sequence of simple BV functions (with a uniformly bounded total variation), as we are going to state in the next well-known result. Nevertheless, we recall the proof of this fact for the sake of completeness.
Lemma 1.21** (Density of simple functions).**
Let be a PI space and a compact set. Fix any with . Then there exists a sequence of simple functions with such that in and for all .
Proof.
Given that in as and for all by Remark 1.3, it suffices to prove the statement under the additional assumption that the function is essentially bounded, say that holds -a.e. for some . Let us fix any . Given any , we can choose t_{i,n}\in\big{(}(i-1)/n,i/n\big{)} such that
[TABLE]
Then we define the simple function on as
[TABLE]
It can be readily checked that . Indeed, notice that
[TABLE]
Furthermore, let us define for every . Moreover, we set and . Therefore, it holds that
[TABLE]
thus accordingly on for all . This ensures that
[TABLE]
Therefore, we have that in . Since for every by construction, the proof of the statement is achieved. ∎
Remark 1.22**.**
In the proof of Lemma 1.21 we obtained a stronger property: each approximating function (say, ) can be required to satisfy .
The following result states that, in the context of PI spaces, the perimeter measure admits an integral representation (with respect to the codimension-one Hausdorff measure):
Theorem 1.23** (Representation of the perimeter measure).**
Let be a PI space. Let be a set of finite perimeter. Then the perimeter measure is concentrated on the Borel set
[TABLE]
where is a constant depending just on , and . Moreover, the set is -negligible and it holds that . Finally, there exist a constant (depending on , , ) and a Borel function such that , namely
[TABLE]
We shall sometimes consider as a Borel function defined on the whole space , by declaring that on the set .
Proof.
The result is mostly proven in [2, Theorem 5.3]. The fact that the measure is concentrated on the set is shown in [2, Theorem 5.4]. Finally, the upper bound has been obtained in [7, Theorem 4.6]. ∎
Lemma 1.24**.**
Let be a PI space. Let be two sets of finite perimeter such that . Then .
Proof.
By using item iii) of Proposition 1.7 we deduce that
[TABLE]
which forces the identity . This implies (\theta_{F}{\mathcal{H}})(\partial^{e}F\setminus\partial^{e}E)={\sf P}\big{(}F,(\partial^{e}E)^{c}\big{)}=0 by Theorem 1.23, whence accordingly , as required. ∎
The density function that appears in the Hausdorff representation formula for might depend on the set itself (cf. Example 1.26 below for an instance of this phenomenon). On the other hand, the new results that we are going to present in this paper require the density to be ‘universal’– in a suitable sense. The precise formulation of this property is given in the next definition, which has been proposed in [7, Definition 6.1].
Definition 1.25** (Isotropic space).**
Let be a PI space. Then we say that is isotropic provided for any pair of sets of finite perimeter satisfying it holds that
[TABLE]
Example 1.26**.**
Let be the graph with four edges attached to a common vertex , with edges on the other ends of , respectively. Let be the pathmetric in and the one-dimensional Hausdorff measure on . The space is then an Ahlfors-regular PI space which is not isotropic: we have and .
We shall also sometimes work with PI spaces satisfying the following property:
[TABLE]
We do not know whether isotropicity follows from (1.16). However, the two concepts are not equivalent, as shown by the following example:
Example 1.27**.**
Similarly as in Example 1.26, we define to be the graph with three edges attached to a common vertex , with edges on the other ends of , respectively. Let be the pathmetric in and the one-dimensional Hausdorff measure on . The space is then an isotropic Ahlfors-regular PI space, where property (1.16) fails:
[TABLE]
and .
A sufficient condition for isotropicity and (1.16) to hold is provided by the following result:
Lemma 1.28**.**
Let be a PI space with the following property:
[TABLE]
(or, equivalently, the measure is concentrated on ). Then the space is isotropic and satisfies property (1.16).
Proof.
The fact that is isotropic is proven in [7, Remark 6.3]. To prove (1.16), fix two disjoint sets of finite perimeter. Given any point , we have that
[TABLE]
thus in particular . This shows that , whence we can conclude that {\mathcal{H}}\big{(}\partial^{e}E\cap\partial^{e}F\cap\partial^{e}(E\cup F)\big{)}=0. This proves the validity of (1.16). ∎
Example 1.29** (Examples of isotropic spaces).**
Let us conclude the section by expounding which classes of PI spaces are known to be isotropic (to the best of our knowledge):
Weighted Euclidean spaces (induced by a continuous, strong weight).
Carnot groups of step . In particular, the Heisenberg groups (for any ).
Non-collapsed spaces. In particular, all compact Riemannian manifolds.
Isotropicity of the spaces in i) and ii) is shown in [7, Section 7]. It also follows from the rectifiability results in [23, 25] that Carnot groups of step satisfy (1.17), thus also (1.16) by Lemma 1.28. About item iii), it follows from [3, Corollary 4.4] that the measure associated to a set of finite perimeter is concentrated on , whence the space is isotropic and satisfies (1.16).
2. Decomposability of a set of finite perimeter
This section is entirely devoted to the decomposability properties of sets of finite perimeter in isotropic PI spaces. An indecomposable set is, roughly speaking, a set of finite perimeter that is connected in a measure-theoretical sense. Subsection 2.1 consists of a detailed study of the basic properties of this class of sets. In Subsection 2.2 we will prove that any set of finite perimeter can be uniquely expressed as disjoint union of indecomposable sets (cf. Theorem 2.14). The whole discussion is strongly inspired by the results of [4], where the decomposability of sets of finite perimeter in the Euclidean setting has been systematically investigated. Actually, many of the results (and the relative proofs) in this section are basically just a reformulation – in the metric setting – of the corresponding ones in , proven in [4]. We postpone to Remark 2.19 the discussion of the main differences between the case of isotropic PI spaces and the Euclidean one.
2.1. Definition of decomposable set and its basic properties
Let us begin with the definition of decomposable set and indecomposable set in a general metric measure space.
Definition 2.1** (Decomposable and indecomposable sets).**
Let be a metric measure space. Let be a set of finite perimeter. Given any Borel set , we say that is decomposable in provided there exists a partition of into sets of finite perimeter such that and . On the other hand, we say that is indecomposable in if it is not decomposable in . For brevity, we say that is decomposable (resp. indecomposable) provided it is decomposable in (resp. indecomposable in ).
Observe that the property of being decomposable/indecomposable is invariant under modifications on -null sets and that any -negligible set is indecomposable.
Remark 2.2**.**
Let be a set of finite perimeter. Let be a partition of into sets of finite perimeter and let be any open set. Then it holds that:
[TABLE]
Indeed, it can be readily checked that in as , whence items ii) and iii) of Proposition 1.7 grant that the inequality
[TABLE]
is always verified.
Lemma 2.3**.**
Let be an isotropic PI space. Let be sets of finite perimeter and let be any Borel set. Then the following implications hold:
If , then .
If and , then .
Proof.
i) Suppose that . A trivial set-theoretic argument yields
[TABLE]
Given that is assumed to be null on the complement of , we deduce that
[TABLE]
Accordingly, it holds that
[TABLE]
which forces the equality . Since on , we obtain that {\mathcal{H}}\big{(}\partial^{e}E\cap\partial^{e}F\cap\partial^{e}(E\cup F)\cap B\big{)}=0. Moreover, we have that
[TABLE]
and, similarly, that {\sf P}(F,B)={\sf P}(E\cup F,\partial^{e}F\cap B)+(\theta_{F}{\mathcal{H}})\big{(}(\partial^{e}F\cap B)\setminus\partial^{e}(E\cup F)\big{)}. This yields
[TABLE]
Hence, we conclude that (\theta_{E}{\mathcal{H}})\big{(}(\partial^{e}E\cap B)\setminus\partial^{e}(E\cup F)\big{)}=0 and (\theta_{F}{\mathcal{H}})\big{(}(\partial^{e}F\cap B)\setminus\partial^{e}(E\cup F)\big{)}=0. Since on and on , we get that {\mathcal{H}}\big{(}(\partial^{e}E\cap B)\setminus\partial^{e}(E\cup F)\big{)}=0 and {\mathcal{H}}\big{(}(\partial^{e}F\cap B)\setminus\partial^{e}(E\cup F)\big{)}=0. In particular, we have {\mathcal{H}}\big{(}(\partial^{e}E\cap\partial^{e}F\cap B)\setminus\partial^{e}(E\cup F)\big{)}=0. Consequently, we have finally proven that , as required.
ii) Let us suppose that and . We already know that the inequality is always verified. The converse inequality readily follows from our assumptions, item iv) of Proposition 1.16 and the representation formula for the perimeter measure:
[TABLE]
Therefore, it holds that , as required. ∎
Remark 2.4**.**
Item i) of Lemma 2.3 fails for the non-isotropic space in Example 1.26: it holds that , but with .
In the setting of isotropic PI spaces satisfying (1.16), the property of being an indecomposable set of finite perimeter can be equivalently characterised as illustrated by the following result, which constitutes a generalisation of [19, Proposition 2.12].
Theorem 2.5**.**
Let be a PI space. Then the following properties hold:
Let be a set of finite perimeter such that
[TABLE]
Then is indecomposable.
Suppose is isotropic and satisfies (1.16). Then any indecomposable subset of satisfies property (2.1).
Proof.
i) Suppose is decomposable. Choose two disjoint sets of finite perimeter having positive -measure such that and . Then let us consider the function . Notice that . Moreover, we know from Lemma 1.24 that , thus accordingly
[TABLE]
Nevertheless, is not -a.e. equal to a constant on , whence does not satisfy property (2.1).
ii) Fix an indecomposable set . Consider any function such that and . First of all, we claim that
[TABLE]
Indeed, by exploiting the inclusion and the isotropicity of we get
[TABLE]
whence the claim (2.2) follows. Now let us define the finite Borel measure on as
[TABLE]
Since for every open set by Theorem 1.19, we deduce that by outer regularity. In particular, it holds that \int_{\mathbb{R}}{\sf P}\big{(}\{f>t\},E^{1}\big{)}\,{\mathrm{d}}t=|Df|(E^{1})=0, which in turn forces the identity {\sf P}\big{(}\{f>t\},E^{1}\big{)}=0 for a.e. . Calling for all , we thus infer from (2.2) that for a.e. , so that in particular for a.e. . Also, we have {\mathcal{H}}\big{(}\partial^{e}E^{+}_{t}\cap\partial^{e}(E\setminus E^{+}_{t})\cap\partial^{e}E\big{)}=0 for a.e. by (1.16), whence
[TABLE]
holds for a.e. . Therefore, item ii) of Lemma 2.3 grants that for a.e. . Being indecomposable, we deduce that for a.e. we have that either or . Define for all . Pick a negligible set such that
[TABLE]
Let us define as follows:
[TABLE]
We claim that . Indeed, given any sequence such that and for all , we have that and accordingly . Similarly for . In light of this observation, we see that , otherwise we would have and thus . We now argue by contradiction: suppose . Then it holds that for every by definition of . This leads to a contradiction with (2.3). Then one has , so that \mathfrak{m}\big{(}E\cap\{f\neq t_{-}\}\big{)}=\mathfrak{m}(E^{-}_{t_{-}})+\mathfrak{m}(E^{+}_{t_{+}})=0. This means that holds -a.e. on , which finally shows that satisfies property (2.1). ∎
Remark 2.6**.**
In item ii) of Theorem 2.5, the additional assumptions on cannot be dropped. For instance, let us consider the space described in Example 1.27. Calling the indecomposable set , it holds , thus satisfies , but it is not -a.e. constant on . This shows that does not satisfy (2.1).
Corollary 2.7**.**
Let be a PI space. Let be an open, connected set of finite perimeter. Then is indecomposable.
Proof.
Let satisfy and . Being open, it holds , whence . Given any , we can choose a radius such that and accordingly |Df|\big{(}B_{\lambda r}(x)\big{)}=0, where is the constant appearing in the weak -Poincaré inequality. Consequently, Lemma 1.13 tells us that , thus in particular is -a.e. constant on . This shows that is locally -a.e. constant on . Since is connected, we deduce that is -a.e. constant on . Therefore, we finally conclude that is indecomposable by using item i) of Theorem 2.5. ∎
Lemma 2.8**.**
Let be an isotropic PI space. Fix a set of finite perimeter and a Borel set . Suppose that is a Borel partition of such that . Then it holds that for every set of finite perimeter.
Proof.
First of all, note that {\mathcal{H}}\big{(}(\partial^{e}F\cup\partial^{e}G)\cap(\partial^{e}E)^{c}\cap B\big{)}\leq{\mathcal{H}}(\partial^{e}F\cap\partial^{e}G\cap B)=0 by item iv) of Proposition 1.16 and item i) of Lemma 2.3. This forces the identity
[TABLE]
Now fix any set of finite perimeter. By using again the property (1.7) we see that
[TABLE]
On the other hand, we claim that
[TABLE]
Indeed, pick any , thus either or . In the former case we deduce that , so that . In the latter case we have , whence . This shows the validity of (2.6).
Moreover, notice that (\partial^{e}A)^{c}\cap(\partial^{e}F)^{c}\subset\big{(}\partial^{e}(A\cap F)\big{)}^{c} and (\partial^{e}A)^{c}\cap(\partial^{e}G)^{c}\subset\big{(}\partial^{e}(A\cap G)\big{)}^{c} hold by property (1.7), thus accordingly we have that
[TABLE]
By combining (2.4), (2.5), (2.6) and (2.7), we deduce that
[TABLE]
Since , we know from item i) of Lemma 2.3 that . Property (1.7) ensures that , which together with the identities and (2.8) yield {\mathcal{H}}\big{(}\partial^{e}(A\cap F)\cap\partial^{e}(A\cap G)\cap B\big{)}=0. Therefore, item ii) of Lemma 2.3 gives , thus proving the statement. ∎
Corollary 2.9**.**
Let be an isotropic PI space. Fix of finite perimeter and open. Suppose that is a Borel partition of such that . Then
[TABLE]
Proof.
Fix any . By repeatedly applying Lemma 2.8 we obtain that
[TABLE]
By letting we deduce that , which gives the statement thanks to Remark 2.2. ∎
Proposition 2.10** (Stability of indecomposable sets).**
Let be an isotropic PI space. Fix a set be of finite perimeter. Let be an increasing sequence of indecomposable subsets of such that . Then is an indecomposable set.
Proof.
We argue by contradiction: suppose there exists a Borel partition of the set such that and . Given that we have and , we can choose an index so that . By Lemma 2.8 we know that . Being a Borel partition of , we get a contradiction with the indecomposability of . This gives the statement. ∎
Lemma 2.11**.**
Let be an isotropic PI space and a set of finite perimeter. Fix two Borel sets . Suppose that and that is indecomposable in . Then it holds that the set is indecomposable in .
Proof.
We argue by contradiction: suppose that there exists a Borel partition of such that and . Then item i) of Lemma 2.3 implies that
[TABLE]
whence by item ii) of the same lemma. This is in contradiction with the fact that is indecomposable in , thus the statement is proven. ∎
2.2. Decomposition theorem
The aim of this subsection is to show that any set of finite perimeter in an isotropic PI space can be uniquely decomposed into indecomposable sets.
Remark 2.12**.**
Let be a sequence that satisfies for every and . Then . Indeed, for every we have that
[TABLE]
whence by letting we conclude that , which proves the claim.
Proposition 2.13**.**
Let be an isotropic PI space. Let be a set of finite perimeter. Fix and such that has finite perimeter. Then there is a unique (in the -a.e. sense) at most countable partition of , into indecomposable subsets of , such that , for every and {\sf P}\big{(}E,B_{r}(\bar{x})\big{)}=\sum_{i\in I}{\sf P}\big{(}E_{i},B_{r}(\bar{x})\big{)}. Moreover, the sets are maximal indecomposable sets, meaning that for any Borel set with that is indecomposable in there is a (unique) such that .
Proof.
Existence. Fix an exponent s>\max\big{\{}1,\log_{2}(C_{D})\big{\}} and any \alpha\in\big{(}1,\frac{s}{s-1}\big{)}. For brevity, call . For simplicity, let us set
[TABLE]
Let us denote by the collection of all Borel partitions of (up to -null sets) such that \big{(}\mathfrak{m}(E_{i})\big{)}_{i\in\mathbb{N}} is non-increasing, , and . Note that the family is non-empty, as it contains the element . Let us call
[TABLE]
Choose any \big{(}(E^{n}_{i})_{i\in\mathbb{N}}\big{)}_{n}\subset\mathcal{P} such that . Since for every , we know by the compactness properties of sets of finite perimeter that we can extract a (not relabeled) subsequence in in such a way that the following property holds: there exists a sequence of Borel subsets of such that in , thus
[TABLE]
Given any such that , we also have that , thus accordingly . Moreover, by lower semicontinuity of the perimeter we see that
[TABLE]
and, similarly, that for every . To prove that it only remains to show that \mathfrak{m}\big{(}(E\cap\Omega)\setminus\bigcup_{i}E_{i}\big{)}=0. We claim that
[TABLE]
Observe that the inequality holds for every . Let us define
[TABLE]
We readily deduce from the relative isoperimetric inequality (1.8) that for all we have
[TABLE]
Furthermore, by using the previous estimate and again (1.14) we obtain that
[TABLE]
Consequently, we deduce that the claim (2.11) is verified. By recalling also (2.10) and Remark 2.12, we can conclude that
[TABLE]
This forces \mathfrak{m}\big{(}(E\cap\Omega)\setminus\bigcup_{i}E_{i}\big{)}=0 and accordingly . Hence,
[TABLE]
in other words is a maximiser for the problem in (2.9). Finally, we claim that each set is indecomposable in . Suppose this was not the case: then for some we would find a partition of into sets of finite perimeter having positive -measure and satisfying the identity . We can relabel the family as in such a way that \big{(}\mathfrak{m}(F_{i})\big{)}_{i\in\mathbb{N}} is a non-increasing sequence. Given that
[TABLE]
we see that . On the other hand, given that and we have the inequality , so that
[TABLE]
This leads to a contradiction with (2.9), whence the sets are proven to be indecomposable in . Therefore, the family , where I\coloneqq\big{\{}i\in\mathbb{N}\,:\,\mathfrak{m}(E_{i})>0\big{\}}, satisfies the required properties.
Maximality. Let be a fixed Borel set with that is indecomposable in . Choose an index for which . By Corollary 2.9 we know that
[TABLE]
Given that is assumed to be indecomposable in , we finally conclude that has null -measure, so that . This shows that the elements of are maximal.
Uniqueness. Consider any other family having the same properties as . By maximality we know that for any there exists a (unique) such that , thus the two partitions and are essentially equivalent (up to -negligible sets). This proves the desired uniqueness. ∎
We are now ready to prove the main result of this section:
Theorem 2.14** (Decomposition theorem).**
Let be an isotropic PI space. Let be a set of finite perimeter. Then there exists a unique (finite or countable) partition of into indecomposable subsets of such that for every and , where uniqueness has to be intended in the -a.e. sense. Moreover, the sets are maximal indecomposable sets, meaning that for any Borel set with that is indecomposable there is a (unique) such that .
Proof.
Let be a fixed point. Choose a sequence of radii such that has finite perimeter for all . Let us apply Proposition 2.13: given any , there exists an -essentially unique partition of , into sets of finite perimeter that are maximal indecomposable subsets of , with for all and .
Given any and , we know from Lemma 2.11 that is indecomposable in , thus there exists for which . This ensures that – possibly choosing different -a.e. representatives of the sets ’s under consideration – we can assume that:
[TABLE]
Given any , let us define the set
[TABLE]
One clearly has that . Moreover, it readily follows from (2.13) that
[TABLE]
We claim that:
[TABLE]
In order to prove it, assume that and pick any . Then there exist some indices , and such that and . Possibly interchanging and , we can suppose that . Given that is not empty (as it contains ), we infer from (2.13) that . Consequently, property (2.14) ensures that the sets and coincide, thus proving the claim (2.15).
Let us define . It turns out that the family is at most countable: the map sending each element of to the unique element of containing is clearly surjective. Then rename as . Observe that constitutes a Borel partition of . Now fix . We can choose and for all such that . Let us also call
[TABLE]
Therefore, . Given any , we have as is open. Then holds for every , so that
[TABLE]
This shows that the sets have finite perimeter, while the fact that they are indecomposable follows from Proposition 2.10. Now fix any finite subset of . Similarly to the estimates above, we see that for every j\geq\max\big{\{}j(i)\,:\,i\in J\big{\}} it holds that
[TABLE]
whence . By arbitrariness of this yields the inequality , thus accordingly by Remark 2.2. Finally, maximality and uniqueness can be proven by arguing exactly as in Proposition 2.13. Therefore, the statement is achieved. ∎
Definition 2.15** (Essential connected components).**
Let be an isotropic PI space. Let us fix a set of finite perimeter. Then we denote by
[TABLE]
the decomposition of provided by Theorem 2.14. (We assume the index set is either or for some .) The sets are called the essential connected components of .
Example 2.16**.**
Although we do not know if the Decomposition Theorem 2.14 holds without the assumption on isotropicity, one can see that the assumption on -Poincaré inequality cannot be relaxed to a -Poincaré inequality with . As an example of this, one can take a fat Sierpiński carpet with a sequence , as defined in [33]. The set , equipped with a natural measure and distance , is a -Ahlfors-regular metric measure space supporting a -Poincaré inequality for all exponents . Nevertheless, given any vertical strip of the form , where with and , we have as . Thus, any set of finite perimeter can be decomposed into the union of E\cap\big{(}[0,x]\times[0,1]\big{)} and E\cap\big{(}[x,1]\times[0,1]\big{)}. Since the family of coordinates for which this holds is dense in , no set of positive measure in can be decomposed into countably many indecomposable sets.
Remark 2.17**.**
Given an isotropic PI space and a set of finite perimeter, it holds that
[TABLE]
This property is an immediate consequence of Lemma 1.24.
Proposition 2.18** (Stability of indecomposable sets, II).**
Let be an isotropic PI space. Fix two indecomposable sets . Suppose that either or . Then is an indecomposable set.
Proof.
Denote . Choose such that , whose existence is granted by the maximality of the connected components of . If then , whence and accordingly is indecomposable. Otherwise, we have and , so that by item i) of Lemma 2.3. ∎
Remark 2.19**.**
Let us highlight the two main technical differences between the proofs we carried out in this section and the corresponding ones for that were originally presented in [4]:
There exist isotropic PI spaces where it is possible to find a set of finite perimeter whose associated perimeter measure is not concentrated on . For instance, consider the space described in Example 1.27: it is an isotropic PI space where (1.16) fails, thus in particular property (1.17) is not verified (as a consequence of Lemma 1.28).
Some of the results of [4] – which have a counterpart in this paper – are proven by using property (1.17). Consequently, the approaches we followed to prove some of the results of this section provide new proofs even in the Euclidean setting.
An essential ingredient in the proof of the decomposition theorem [4, Theorem 1] is the (global) isoperimetric inequality. In our case, we only have the relative isoperimetric inequality at disposal, thus we need to ‘localise’ the problem: first we prove a local version of the decomposition theorem (namely, Proposition 2.13), then we obtain the full decomposition by means of a ‘patching argument’ (as described in the proof of Theorem 2.14). Let us point out that in the Ahlfors-regular case the proof of the decomposition theorem would closely follows along the lines of [4, Theorem 1] (thanks to Theorem 1.18).
Finally, an alternative proof of the decomposition theorem will be provided in Section 4.
3. Extreme points in the space of BV functions
The aim of Subsection 3.1 is to study the extreme points of the ‘unit ball’ in the space of BV functions over an isotropic PI space (with a uniform bound on the support). More precisely, given an isotropic PI space and a compact set , we will detect the extreme points of the convex set made of all functions such that and , with respect to the strong topology of ; cf. Theorem 3.8. Informally speaking, the extreme points coincide – at least under some further assumptions – with the (suitably normalised) characteristic functions of simple sets, whose definition is given in Definition 3.1. In Subsection 3.2 we provide an alternative characterisation of simple sets (cf. Theorem 3.17) in the framework of Alhfors-regular spaces, a key role being played by the concept of saturation of a set, whose definition relies upon the decomposition properties treated in Section 2.
3.1. Simple sets and extreme points in BV
A set of finite perimeter having finite Lebesgue measure is a simple set provided one of the following (equivalent) properties is satisfied:
is indecomposable and saturated, the latter term meaning that the complement of does not have essential connected components of finite Lebesgue measure.
Both and are indecomposable.
If is a set of finite perimeter such that is essentially contained in (with respect to the -dimensional Hausdorff measure), then (up to -null sets).
We refer to [4, Section 5] for a discussion about the equivalence of the above conditions. In the more general setting of isotropic PI spaces, (the appropriate reformulations of) these three notions are no longer equivalent. The one that well captures the property we are interested in (i.e., the fact of providing an alternative characterisation of the extreme points in BV) is item iii), which accordingly is the one that we choose as the definition of simple set in our context:
Definition 3.1** (Simple sets).**
Let be a PI space. Let be a set of finite perimeter with . Then we say that is a simple set provided for every set of finite perimeter with it holds , , , or .
It is rather easy to prove that – under some additional assumptions – the definition of simple set we have just proposed is equivalent to (the suitable rephrasing of) item ii) above:
Proposition 3.2** (Indecomposability of simple sets).**
Let be an isotropic PI space. Let us consider a set of finite perimeter such that . Then:
If is a simple set, then and are indecomposable.
Suppose satisfies (1.16). If and are indecomposable, then is a simple set.
Proof.
i) Assume is a simple set. First, we prove by contradiction that is indecomposable: suppose it is not, thus it can be written as for some pairwise disjoint sets of finite perimeter such that and . By combining item iv) of Proposition 1.16 with item ii) of Lemma 2.3, we obtain that
[TABLE]
In particular, we have that . Being simple, we get , which leads to a contradiction. Then is indecomposable. In order to show that also is indecomposable, we argue in a similar way: suppose for pairwise disjoint sets of finite perimeter with and . By arguing as before we obtain that . Being , we can conclude (again since is simple) that , whence the contradiction. Therefore, is indecomposable.
ii) Assume that satisfies (1.16) and that are indecomposable sets. Take a set of finite perimeter such that . We know from (1.16) that
[TABLE]
Consequently, we deduce that
[TABLE]
Then item ii) of Lemma 2.3 yields and . Being (resp. ) indecomposable, we conclude that either or (resp. either or ). This implies that , , or , thus proving that is a simple set. ∎
Remark 3.3**.**
Item ii) of Proposition 3.2 fails in the space in Example 1.27, where the assumption (1.16) is not satisfied: both and are indecomposable, but the set is not simple.
Let be a metric measure space. Let be a compact set. Then we define
[TABLE]
Remark 3.4**.**
It holds that
[TABLE]
First of all, its convexity is granted by item ii) of Proposition 1.2. To prove compactness, fix any sequence . Item iii) of Proposition 1.2 says that in for some subsequence and some limit function . Given that for every , we know that , thus and in . Finally, by using item i) of Proposition 1.2 we conclude that , whence .
Recall that stands for the set of all extreme points of ; cf. Appendix A. Furthermore, observe that holds for every . In the remaining part of this subsection, we shall study in detail the family . Our arguments are strongly inspired by the ideas of the papers [21, 22].
Let be a PI space. Given a set of finite perimeter with , let
[TABLE]
Observe that \big{|}D\Phi_{+}(E)\big{|}({\rm X})=\big{|}D\Phi_{-}(E)\big{|}({\rm X})=1. For any compact set we define
[TABLE]
Observe that . Given any function , we shall denote by the (-a.e. unique) Borel set satisfying either or . If, in addition, the space is isotropic, then by item i) of Proposition 3.2.
Proposition 3.5**.**
Let be a PI space and a compact set. Then the closed convex hull of the set coincides with .
Proof.
We aim to show that any function can be approximated in by convex combinations of elements in . Let us apply Lemma 1.21: we can find a sequence of simple functions supported on the set , say , so that in and (recall Remark 1.22). Given that we have and
[TABLE]
we conclude that the functions belong to the convex hull of . Given that is symmetric, we know that its convex hull contains the function [math] and accordingly also all the functions . The statement follows. ∎
Lemma 3.6**.**
Let be a PI space and let a compact set. Then the set is strongly closed in .
Proof.
It is clearly sufficient to prove that if a sequence converges to some function with respect to the -topology, then . Possibly passing to a (not relabeled) subsequence, we can assume that for some we have for all . If then in , which is not possible as it would imply . Consequently, we have that \big{(}{\sf P}(E_{f_{n}})\big{)}_{n} is bounded, whence (up to taking a further subsequence) it holds for some constant and in for some set of finite perimeter . If then it can be readily checked that in by dominated convergence theorem, which would contradict the fact that . Hence, and , so that . Observe that , whence it holds that and accordingly , as required. ∎
Theorem 3.7**.**
Let be a PI space and let be a compact set. Then it holds that
[TABLE]
Proof.
By Milman Theorem A.1, Proposition 3.5, and Lemma 3.6, we know that any extreme point of belongs to . It only remains to prove that if , then is indecomposable. We argue by contradiction: suppose the set is decomposable, so that there exist disjoint Borel sets such that and . Therefore, we can write
[TABLE]
This contradicts the fact that is an extreme point of , thus the set is proven to be indecomposable. Hence, we have that , as required. ∎
Theorem 3.8**.**
Let be an isotropic PI space. Let be a compact set. Then:
It holds that
[TABLE]
Suppose that the space satisfies (1.16). Suppose also that has finite perimeter, that and that is connected. Then .
Proof.
i) Let be fixed. Thanks to Choquet Theorem A.2, there exists a Borel probability measure on , concentrated on , such that
[TABLE]
We define the Borel measure on as , namely
[TABLE]
Given that for every , we know that for -a.e. and accordingly is a probability measure. Now fix any open set containing . Thanks to Theorem 1.4, we can find a sequence of derivations such that in the -a.e. sense, and . Therefore, it holds that
[TABLE]
Given that and are outer regular, we can pick a sequence of open subsets of containing such that and . By recalling the inequality (3.3), we thus obtain that
[TABLE]
This forces the equality . Given that holds for -a.e. , we infer that actually for -a.e. . Since is concentrated on by Theorem 3.7, it makes sense to consider for -a.e. . Therefore, we have that
[TABLE]
holds for -a.e. . This implies that for -a.e. . Since is a simple set, we deduce that for -a.e. . This forces for some . Given that is concentrated on the symmetric set , we finally conclude that , as required. This proves the inclusion (3.1).
ii) Let be fixed. Take a set of finite perimeter with . We claim that either or . To prove it, notice that (1.2), (1.16) give
[TABLE]
Accordingly, item ii) of Lemma 2.3 yields . Being indecomposable by Corollary 2.7, we conclude that either or , as desired. Now call
[TABLE]
We aim to prove that either or . Suppose that . Observe that
[TABLE]
Thanks to (1.16), we also know that
[TABLE]
Therefore, item ii) of Lemma 2.3 grants that
[TABLE]
Suppose by contradiction that . Then we have and accordingly
[TABLE]
This contradicts the fact that , whence . Similarly, suppose by contradiction that . Then we have and accordingly
[TABLE]
This contradicts the fact that , whence . This yields , thus the set is proven to be simple. We conclude that , as required. ∎
3.2. Holes and saturation
The decomposition theorem can be used to define suitable notions of hole and saturation for a given set of finite perimeter in an isotropic PI space:
Definition 3.9** (Hole).**
Let be an isotropic PI space such that . Let be an indecomposable set. Then any essential connected component of having finite -measure is said to be a hole of .
Definition 3.10** (Saturation).**
Let be an isotropic PI space such that . Given an indecomposable set , we define its saturation as the union of and its holes. Moreover, given any set of finite perimeter, we define
[TABLE]
We say that the set is saturated provided it holds that \mathfrak{m}\big{(}E\Delta{\rm sat}(E)\big{)}=0.
Observe that an indecomposable set is saturated if and only if it has no holes.
Remark 3.11**.**
Given an isotropic PI space such that , it holds that any simple set is indecomposable and saturated. Indeed, item i) of Proposition 3.2 grants that both , are indecomposable; since , we also conclude that has no holes.
Proposition 3.12** (Main properties of the saturation).**
Let be an isotropic PI space such that . Let be an indecomposable set. Then the following properties hold:
Any hole of is saturated.
The set is indecomposable and saturated. In particular, {\rm sat}\big{(}{\rm sat}(E)\big{)}={\rm sat}(E).
It holds that {\mathcal{H}}\big{(}\partial^{e}{\rm sat}(E)\setminus\partial^{e}E\big{)}=0. In particular, one has that {\sf P}\big{(}{\rm sat}(E)\big{)}\leq{\sf P}(E).
If is a set of finite perimeter with \mathfrak{m}\big{(}E\setminus{\rm sat}(F)\big{)}=0, then \mathfrak{m}\big{(}{\rm sat}(E)\setminus{\rm sat}(F)\big{)}=0.
Proof.
i) Let be a hole of . Denote . We know from Remark 2.17 that for all , thus is indecomposable for any finite set by Proposition 2.18. Therefore, the set is indecomposable by Proposition 2.10. Given that , we conclude that has no holes, as required.
ii) Let us call the holes of . By arguing exactly as in the proof of item i), we see that the set is indecomposable. Moreover, \mathcal{CC}^{e}\big{(}{\rm sat}(E)^{c}\big{)}=\mathcal{CC}^{e}(E^{c})\setminus\{F_{i}\}_{i\in I}, so that has no holes. In other words, the set is saturated.
iii) Calling the holes of , we clearly have that by (1.7). Given that for all by Remark 2.17, we conclude that {\mathcal{H}}\big{(}\partial^{e}{\rm sat}(E)\setminus\partial^{e}E\big{)}=0 as well. Furthermore, observe that the latter identity also yields
[TABLE]
iv) Let us denote \mathcal{CC}^{e}\big{(}{\rm sat}(F)^{c}\big{)}=\{F_{i}\}_{i\in I}. Given any , we have that is indecomposable, has infinite -measure, and satisfies . Then there exists a unique set such that , thus in particular . This says that the sets cannot be holes of , whence and accordingly \mathfrak{m}\big{(}{\rm sat}(E)\setminus{\rm sat}(F)\big{)}=0. ∎
Lemma 3.13**.**
Let be an isotropic PI space such that . Let be a set of finite perimeter. Then it holds that {\mathcal{H}}\big{(}\partial^{e}{\rm sat}(E)\setminus\partial^{e}E\big{)}=0.
Proof.
Given any , we have {\mathcal{H}}\big{(}\partial^{e}{\rm sat}(F)\setminus\partial^{e}F\big{)}=0 by item iii) of Proposition 3.12. Moreover, since we know that as a consequence of (1.7). Therefore, we deduce that
[TABLE]
thus proving the statement. ∎
Let us now focus on the special case of Ahlfors-regular, isotropic PI spaces. In this context, simple sets can be equivalently characterised as those sets that are both indecomposable and saturated (cf. Theorem 3.17). In order to prove it, we need some preliminary results:
Proposition 3.14**.**
Let be a -Ahlfors regular, isotropic PI space with . Suppose that . Let be an indecomposable set such that . Then there exists exactly one essential connected component satisfying .
Proof.
Let us prove that at least one essential connected component of has infinite -measure. We argue by contradiction: suppose for all , where we set . In particular, we have that holds for every , whence Theorem 1.18 yields
[TABLE]
By using the Markov inequality we deduce that J\coloneqq\big{\{}i\in I\,:\,\mathfrak{m}(E_{i})\geq 1\big{\}} is a finite family, thus the set has finite -measure. This leads to a contradiction, as it implies that
[TABLE]
Hence, there exists such that . Suppose by contradiction to have for some . Then and accordingly , which is not possible as we have that \min\big{\{}\mathfrak{m}(E_{i}),\mathfrak{m}(E_{i}^{c})\big{\}}\leq C^{\prime}_{I}\,{\sf P}(E_{i})^{\nicefrac{{k}}{{k-1}}}<+\infty by Theorem 1.18. The statement follows. ∎
Remark 3.15**.**
The Ahlfors-regularity assumption in Proposition 3.14 cannot be dropped, as shown by the following example. Let us consider the strip , endowed with the (restricted) Euclidean distance and the -dimensional Hausdorff measure, which is an isotropic PI space. Then the square is an indecomposable set having finite measure, but its complement consists of two essential connected components having infinite measure.
Remark 3.16**.**
If is a -Ahlfors regular, isotropic PI space with and , then for any indecomposable set with it holds that \mathfrak{m}\big{(}{\rm sat}(E)\big{)}<+\infty.
Indeed, we know that \mathfrak{m}\big{(}{\rm sat}(E)^{c}\big{)}=+\infty by Proposition 3.14, whence the set must have finite -measure (otherwise we would contradict Theorem 1.18).
Theorem 3.17** (Simple sets on Ahlfors-regular spaces).**
Let be a -Ahlfors regular, isotropic PI space with and . Suppose satisfies (1.16). Let be a set of finite perimeter with . Then is simple if and only if it is both indecomposable and saturated.
Proof.
Necessity stems from Remark 3.11. To prove sufficiency, suppose that is indecomposable and saturated. Proposition 3.14 grants that is the unique element of having infinite -measure, thus in particular is indecomposable. By applying item ii) of Proposition 3.2, we finally conclude that the set is simple, as desired. ∎
4. Alternative proof of the decomposition theorem
We provide here an alternative proof of the Decomposition Theorem 2.14, in the particular case in which the set under consideration is bounded (the boundedness assumption is added for simplicity, cf. Remark 4.6 for a few comments about the unbounded case). The inspiration for this approach is taken from [31]. We refer to Appendix B for the language and the results we are going to use in this section.
Let be an isotropic PI space. Given any open set and any set having finite perimeter in , we define the family as
[TABLE]
Observe that holds whenever are open sets with and .
Remark 4.1**.**
It holds that is indecomposable in if and only if is trivial, i.e.,
[TABLE]
The proof of this fact is a direct consequence of the very definition of indecomposable set.
Lemma 4.2**.**
Let be an isotropic PI space. Let be an open set with . Let be a set of finite perimeter in . Then is a -algebra of Borel subsets of . Moreover, if is bounded and , then the assumption can be dropped.
Proof.
Trivially, we have that and is closed under complement. Moreover, fix any two sets . Since , we deduce that and {\sf P}(E\setminus G,\Omega)={\sf P}(F\setminus G,\Omega)+{\sf P}\big{(}E\setminus(F\cup G),\Omega\big{)} by Lemma 2.8. Consequently, the subadditivity of the perimeter yields
[TABLE]
This forces the equality {\sf P}(E,\Omega)={\sf P}(F\cup G,\Omega)+{\sf P}\big{(}E\setminus(F\cup G),\Omega\big{)}. Given that has finite perimeter, we have proved that . This shows that is closed under finite unions. Finally, to prove that is closed under countable unions, fix any . Calling , we aim to prove that . We denote for all . Given that , we have and in . Hence, by lower semicontinuity and subadditivity of the perimeter we can conclude that
[TABLE]
which forces . Notice also that in , whence
[TABLE]
This says that the set has finite perimeter in , thus belongs to , as desired.
To prove the last statement, let us assume that . By exploiting Remark 1.20 and the boundedness of , we can find an open ball such that and , thus accordingly the family is a -algebra by the previous part of the proof. ∎
Remark 4.3**.**
Let be an isotropic PI space and an open set. Then we claim that
[TABLE]
We separately prove the two inclusions. Fix . Since , we know from Lemma 2.8 that . Therefore, we have that
[TABLE]
thus proving that . Conversely, let us fix any set such that . Given that , we conclude that again by Lemma 2.8. This shows that , which yields the sought conclusion.
Lemma 4.4**.**
Let be an isotropic PI space. Let be an open set. Let be a set of finite perimeter in . Then for any finite partition of the set it holds that .
Proof.
Recall that for all , thus by repeatedly applying Lemma 2.8 we obtain that
[TABLE]
Therefore, the statement is achieved. ∎
Theorem 4.5**.**
Let be an isotropic PI space. Let be an open set. Then the measure space is purely atomic for every bounded set of finite perimeter.
Proof.
We can assume without loss of generality that for some and . For the sake of brevity, let us denote for every . It follows from Remark 4.3 that and that the atoms of coincide with the atoms of that are contained in . Accordingly, in order to prove that is purely atomic, it suffices to show that is atomic for any set with . We argue by contradiction: suppose is non-atomic. Let us fix any . Corollary B.5 grants that there exists a finite partition of such that \mathfrak{m}(F_{i})\leq\min\big{\{}\varepsilon,\mathfrak{m}(F\setminus F_{i})\big{\}} for all . Let us apply Theorem 1.17: calling the quantity C_{I}\,\big{(}r^{s}/\mathfrak{m}(B_{r}(\bar{x}))\big{)}^{\nicefrac{{1}}{{s-1}}}, one has that
[TABLE]
Since holds by Lemma 4.4, we deduce from the previous inequality that
[TABLE]
By letting in (4.1) we get that , which yields a contradiction. Therefore, we conclude that the measure space is non-atomic, as required. ∎
Alternative proof of Theorem 2.14 for bounded.
Maximality and uniqueness can be proven as in Proposition 2.13, thus we can just focus on the existence part of the statement. The measure space is purely atomic by Theorem 4.5, thus there exists an at most countable family of pairwise disjoint atoms such that \mathfrak{m}\big{(}E\setminus\bigcup_{i\in i}E_{i}\big{)}=0 by Remark B.2. Moreover, we deduce from Remark 4.3 that each set is an atom of , which is clearly equivalent to saying that is trivial (in the sense of Remark 4.1). Accordingly, the set is indecomposable for every . Finally, Lemma 4.4 grants that . ∎
Remark 4.6**.**
Let us briefly outline how to prove the decomposition theorem via Theorem B.3 in the general case (i.e., when is possibly unbounded). More specifically, we show that the existence part of Proposition 2.13 (under the additional assumption that has finite -measure) can be deduced from Theorem B.3, whence Theorem 2.14 follows (thanks to Remark 1.20).
Our aim is to show that \big{(}E\cap\Omega,\Xi_{\Omega}(E\cap\Omega),\mathfrak{m}_{\llcorner E\cap\Omega}\big{)} is purely atomic, where we set . We argue by contradiction: suppose is non-atomic for some . Then Corollary B.5, Theorem 1.17 and Theorem 1.23 ensure that for any there exist a finite partition of and a constant such that and
[TABLE]
where the set is defined as in (1.13). Given any such that , it is clear that the set is empty whenever we choose of cardinality greater than . Therefore, we deduce from (4.2) and the identity that
[TABLE]
Finally, by letting we conclude that , which leads to a contradiction.
Appendix A Extreme points
Let be a normed space. Let be a convex, compact subset of . Then we shall denote by the set of all extreme points of , namely of those points that cannot be written as for some and some distinct . The Krein–Milman theorem states that coincides with the closed convex hull of ; cf. [32]. Furthermore, it actually holds that is the ‘smallest’ set having this property:
Theorem A.1** (Milman [35]).**
Let be a normed space. Let be convex and compact. Suppose that the closed convex hull of a set coincides with . Then is contained in the closure of .
Another fundamental result in functional analysis and convex analysis is the following celebrated strengthening of the Krein–Milman theorem:
Theorem A.2** (Choquet [37]).**
Let be a normed space. Let be convex and compact. Then for any point there exists a Borel probability measure on (depending on ), which is concentrated on and satisfies
[TABLE]
Remark A.3**.**
In the above result, the measure is concentrated on . For completeness, we briefly verify that is a Borel subset of : the set can be written as , where
[TABLE]
Given that each set is a closed subset of , we conclude that is Borel.
Appendix B Lyapunov vector-measure theorem
In the theory of vector measures, an important role is played by the following theorem (due to Lyapunov): the range of a non-atomic vector measure is closed and convex; cf., for instance, [18]. For our purposes, we need a simpler version of this theorem (just for scalar measures). For the reader’s convenience, we report below (see Theorem B.3) an elementary proof of this result.
Let us begin by recalling the definition of atom in a measure space (see also [11]):
Definition B.1** (Atom).**
Let be a measure space. Then a set with is said to be an atom of provided for any set with it holds that either or . The measure space is called non-atomic if there are no atoms, atomic if there exists at least one atom, and purely atomic if every measurable set of positive -measure contains an atom.
Remark B.2**.**
Given a purely atomic measure space and a set such that , there exists an at most countable family of pairwise disjoint atoms of , which are contained in and satisfy \mu\big{(}E\setminus\bigcup_{i\in I}A_{i}\big{)}=0; cf. [30, Theorem 2.2].
Recall that a measure space is semifinite provided for every set with there exists such that and .
Theorem B.3** (Non-atomic measures have full range).**
Let be a semifinite, non-atomic measure space. Then for every constant \lambda\in\big{(}0,\mu({\rm X})\big{)} there exists such that .
Proof.
First of all, let us prove the following claim:
[TABLE]
In order to prove it, fix a subset of with (whose existence follows from the semifiniteness assumption) and any such that . Since admits no atoms, we can find a partition of such that for every . Hence, there must exist such that , otherwise we would have that
[TABLE]
Therefore, the set satisfies and . This proves the claim (B.1).
We recursively build a sequence . The set is any element of with , which can be found thanks to (B.1). Now let us suppose to have already defined for some natural number with the following properties: are pairwise disjoint sets that satisfy and . We set
[TABLE]
Property (B.1) grants that is non-empty, thus in particular s_{n}\coloneqq\sup\big{\{}\mu(B)\,\big{|}\,B\in\mathcal{F}_{n}\big{\}}>0. Let be any element of such that . Notice that are pairwise disjoint sets of positive -measure for which .
Now let us call . We argue by contradiction: suppose that . Given that , this means that . We know from (B.1) that there exists a set with and . Since , we can pick some for which . On the other hand, one has that and , whence accordingly . Consequently, it must hold that , which leads to a contradiction. We conclude that , which finally yields the statement. ∎
Remark B.4**.**
Given a semifinite, non-atomic measure space and a set , it holds that is semifinite and non-atomic as well, where the restricted -algebra is defined as \mathcal{A}_{\llcorner E}\coloneqq\big{\{}A\cap E\,:\,A\in\mathcal{A}\big{\}}. In particular, one can readily deduce from Theorem B.3 that for any \lambda\in\big{(}0,\mu(E)\big{)} there exists such that .
Corollary B.5**.**
Let be a finite, non-atomic measure space. Then for every there exists a partition of such that \mu(A_{i})\leq\min\big{\{}\varepsilon,\mu(A_{i}^{c})\big{\}} for all .
Proof.
Fix any such that and . We proceed in a recursive way: first of all, choose a set with , whose existence is granted by Theorem B.3. Now we can pick a set such that (recall Remark B.4). After finitely many steps, we end up with pairwise disjoint measurable sets such that \mu\big{(}{\rm X}\setminus(A_{1}\cup\ldots\cup A_{n-1})\big{)}<\varepsilon^{\prime}. Let us define . Therefore, the sets do the job. ∎
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