Quasi-continuous vector fields on RCD spaces
Cl\'ement Debin, Nicola Gigli, Enrico Pasqualetto

TL;DR
This paper introduces a new notion of quasi-continuous tensor fields on RCD spaces, extending the existing framework where tensor fields are only defined almost everywhere, and explores the uniqueness of Sobolev vector field representatives.
Contribution
It develops the concept of tensor fields defined '2-capacity-a.e.' on RCD spaces and analyzes the quasi-continuity of Sobolev vector fields, advancing tensor calculus in metric measure spaces.
Findings
Defined tensor fields '2-capacity-a.e.' on RCD spaces
Established conditions for the quasi-continuous representatives of Sobolev vector fields
Enhanced the tensor calculus framework on RCD spaces
Abstract
In the existing language for tensor calculus on RCD spaces, tensor fields are only defined m-a.e.. In this paper we introduce the concept of tensor field defined `2-capacity-a.e.' and discuss in which sense Sobolev vector fields have a 2-capacity-a.e. uniquely defined quasi-continuous representative.
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Quasi-continuous vector fields on spaces
Clément Debin
Institut Polytechnique de Grenoble (CPP - La Prépa des INP), Domaine universitaire, 701 rue de la piscine, 38402 Saint Martin d’Hères.
,
Nicola Gigli
SISSA, Via Bonomea 265, 34136 Trieste
and
Enrico Pasqualetto
Department of Mathematics and Statistics, P.O. Box 35 (MaD), FI-40014 University of Jyväskylä
Abstract.
In the existing language for tensor calculus on spaces, tensor fields are only defined -a.e.. In this paper we introduce the concept of tensor field defined ‘2-capacity-a.e.’ and discuss in which sense Sobolev vector fields have a 2-capacity-a.e. uniquely defined quasi-continuous representative.
Contents
Introduction
The theory of differential calculus on spaces as proposed in [9, 10] is built around the notion of -normed -module, which provides a convenient abstraction of the concept of ‘space of measurable sections of a vector bundle’. In this sense, one thinks at such a module as the space of measurable sections of some, not really given, measurable bundle over the given metric measure space . More precisely, given that elements of are ‘Borel functions identified up to equality -a.e.’, elements of such modules are, in a sense, ‘measurable sections identified up to equality -a.e.’. Notice that this interpretation is fully rigorous in the smooth case, where given a normed vector bundle, the space of its Borel sections identified up to -a.e. equality is a -normed -module. We also remark that in [9, 10] the emphasis is more on the notion of -module rather than on ones, but this is more a choice of presentation rather than an essential technical point, and given that for the purposes of this manuscript to work with is more convenient, we shall concentrate on this.
In particular, all the tensor fields on a metric measure space which are considered within the theory of -modules are only defined -a.e.. While this is an advantage in some setting, e.g. because a rigorous first order differential calculus can be built on this ground over arbitrary metric measure structures, in others is quite limiting: there certainly might be instances where, say, one is interested in the behaviour of a vector field on some negligible set. For instance, the question of whether the critical set of a harmonic function has capacity zero simply makes no sense if the gradient of such function only exists as element of a -normed module.
Aim of this paper is to create a theoretical framework which allows to speak about ‘Borel sections identified up to equality -a.e.’ and to show that Sobolev vector fields on spaces, which are introduced via the theory of -modules, in fact can be defined up to -null sets and turn out to be continuous (in a sense to be made precise) outside sets of small capacities. Here the analogy is with the well-known case of Sobolev functions on the Euclidean space: these are a priori defined in a distributional-like sense, and thus up to equality -a.e., but once the concept of capacity is introduced one quickly realizes that a Sobolev function has a uniquely-defined representative up to -null sets which is continuous outside sets of small capacities.
More in detail, in this paper we do the following:
- o)
We start recalling how to integrate w.r.t. an outer measure and that such integral is sublinear iff the outer measure is submodular, which is the case of capacity. This will allow to put a natural complete distance on the space of real-valued Borel functions on identified up to -null sets. Given that -null sets are -null, can be seen as quotient of ; we shall denote by the quotient map.
We then recall the concept of quasi-continuous function which, being invariant under modification on -null sets, is a property of (equivalence classes of) functions in . The space of quasi-continuous functions is actually a closed subspace of and coincides with the -closure of continuous functions (then by approximation in the uniform norm one easily sees that in proper spaces one could also take the completion of the space of locally Lipschitz functions and, in , of smooth ones); we believe that this characterization of quasi-continuity is well-known in the literature but have not been able to find a reference – in any case, for completeness in the preliminary section we provide full proofs of all the results we need. In connection with the concept of capacity the space is relevant for at least two reasons:
- a)
The restriction of the projection operator to is injective.
- b)
Any Sobolev function has a (necessarily unique, by a) above) quasi-continuous representative , i.e. .
- i)
We propose the notion of -normed -modules (-modules, in short), defined by properly imitating the one of -module. At the technical level an important difference between the two notions is that the capacity is only an outer measure: while in some cases this is only a nuisance (see e.g. the proof of the fact that the natural distance on -modules satisfies the triangle inequality), in others it creates problems whose solution is unclear to us (e.g. in defining the dual of a -module – see Remark 2.3).
We then see that, much like starting from and quotienting out up to -null sets we find , starting from an arbitrary -module and quotienting via the relation
[TABLE]
we produce a canonical -module and projection operator (see Proposition 2.2).
- ii)
The main construction that we propose in this manuscript is that of tangent -module on an space . Specifically, in such setting we prove that there is a canonical couple \big{(}L^{0}_{\rm Cap}(T{\rm X}),\bar{\nabla}\big{)}, where is a -module and is a linear map whose image generates and such that coincides with the unique quasi-continuous representative of the minimal weak upper gradient of , see Theorem 2.6. Here the space of test functions is made, in some sense, of the smoothest functions available on spaces; this regularity matters in the definition of to the extent that belongs to whenever (and this fact is in turn highly depending on the lower Ricci curvature bound: it seems hard to find many functions with this property on more general metric measure spaces).
The relation between and the already known -tangent module and gradient operator is the fact that can be seen as the quotient of via the equivalence relation (0.1), where the projection operator sends to for any (see Propositions 2.9, 2.10 for the precise formulation).
- iii)
We define the notion of ‘quasi-continuous vector field’ in . Here a relevant technical point is that there is no topology on the ‘tangent bundle’ or, to put it differently, it is totally unclear what it means for a tangent vector field to be continuous or continuous at a point (in fact, not even the value of a vector field at a point is defined in our setting!). In this direction we also remark that the recent result in [7] suggests that it might be pointless to look for ‘many’ continuous vector fields already on finite dimensional Alexandrov spaces, thus a fortiori on ones.
Thus, much like in quasi-continuous functions are the -closure of smooth ones, we define the space of quasi-continuous vector fields as the -closure of the space of the ‘smoothest’ vector fields available, i.e. linear combinations of those of the form for . The choice of terminology is justified by the fact that the analogue of a), b) above hold (see Proposition 2.13 and Theorem 2.14) and, moreover:
- c)
for we have (see Proposition 2.12).
We conclude by pointing out that, while the concept of -module makes sense for any -capacity, for our purposes only the case is relevant. This is due to the fact that the natural Sobolev space to which belongs for is with . Also, we remark that, albeit the definitions proposed in this paper are meant to be used in actual problems regarding the structure of spaces (like the already mentioned one concerning the size of for harmonic - see Example 2.17 for comments in this direction), in this manuscript we concentrate on building a solid foundation of the theoretical side of the story. The added value here is in providing what we believe are the correct definitions: once these are given, proofs of relevant results will come out rather easily.
Acknowledgments This research has been supported by the MIUR SIR-grant ‘Nonsmooth Differential Geometry’ (RBSI147UG4).
The authors want to thank Elia Bruè and Daniele Semola for stimulating conversations on the topics of this manuscript.
1. Preliminaries
1.1. Integration w.r.t. outer measures
Let be a given set and an outer measure on . Then for every function (no measurability assumption is made here) it holds that the function [0,\infty)\ni t\mapsto\mu\big{(}\{f>t\}\big{)}\in[0,+\infty] is non-increasing and thus Lebesgue measurable. Hence the following definition (via Cavalieri’s formula)
[TABLE]
is well-posed. For an arbitrary set we shall also put
[TABLE]
In the next result we collect the basic properties of the above-defined integral:
Proposition 1.1** (Basic properties of and integrals w.r.t. it).**
The following properties hold:
- a)
Let be fixed. Then the following holds:
- i)
* provided .*
- ii)
* for every .*
- iii)
* if and only if \mu\big{(}\{f\neq 0\}\big{)}=0.*
- iv)
* provided \mu\big{(}\{f\neq g\}\big{)}=0.*
- v)
Čebyšëv’s inequality.* It holds that*
[TABLE]
In particular, if then \mu\big{(}\{f=+\infty\}\big{)}=0.
- b)
Monotone convergence.* Let , , be such that*
[TABLE]
Then as .
- c)
Borel-Cantelli.* Let be subsets of satisfying . Then it holds that \mu\big{(}\bigcap_{n\in\mathbb{N}}\bigcup_{m\geq n}E_{m}\big{)}=0.*
Proof.
(a) is trivial and follows by a change of variables. The ‘if’ implication in is trivial, for the ‘only if’ recall that t\mapsto\mu\big{(}\{f>t\}\big{)} is non-increasing to conclude that if it must hold \mu\big{(}\{f>t\}\big{)}=0 for every . Then use the countable subadditivity of and the identity to deduce that \mu\big{(}\{f>0\}\big{)}=0. To prove notice that , hence taking into account the subadditivity of and the assumption we get . Inverting the roles of we conclude. In order to prove , call and notice that E_{\lambda}\subset\{{\raise 1.29167pt\hbox{\chi}}_{E_{\lambda}}f>t\} for all , whence
[TABLE]
which proves . For the last statement, notice that if then
[TABLE]
so that \mu\big{(}\{f=+\infty\}\big{)}=0, as required.
(b) Assume for a moment that for every . Then the sequence of sets is increasing with respect to and satisfies . Hence the monotone convergence theorem (for the Lebesgue measure) gives
[TABLE]
The general case follows taking into account point .
(c) The standard proof applies: let us put , then \mu(E)\leq\mu\big{(}\bigcup_{m\geq n}E_{m}\big{)} for all , so that
[TABLE]
as required. ∎
Example 1.2**.**
Consider the closed interval in (equipped with Euclidean distance and Lebesgue measure). Given any , denote by the singleton . One can check that , but . In other words, \int{\raise 1.29167pt\hbox{\chi}}_{S\setminus P_{n}}\,{\mathrm{d}}{\rm Cap}=\int{\raise 1.29167pt\hbox{\chi}}_{S}\,{\mathrm{d}}{\rm Cap} and {\rm Cap}\big{(}\{{\raise 1.29167pt\hbox{\chi}}_{S\setminus P_{n}}\neq{\raise 1.29167pt\hbox{\chi}}_{S}\}\big{)}>0. This shows that – even for and – the converse of item iv) of Proposition 1.1 fails.
Remark 1.3**.**
An analogue of the dominated convergence theorem cannot hold, as shown by the following counterexample. For any , consider the singleton in defined in Example 1.2. Since the capacity in the space is translation-invariant, one has that for all . Moreover, we have \lim_{n}{\raise 1.29167pt\hbox{\chi}}_{P_{n}}(x)=0 for all and {\raise 1.29167pt\hbox{\chi}}_{P_{n}}\leq{\raise 1.29167pt\hbox{\chi}}_{[0,1]} for all , with \int{\raise 1.29167pt\hbox{\chi}}_{[0,1]}\,{\mathrm{d}}{\rm Cap}={\rm Cap}\big{(}[0,1]\big{)}<+\infty. Nevertheless, it holds that \int{\raise 1.29167pt\hbox{\chi}}_{P_{n}}\,{\mathrm{d}}{\rm Cap}\equiv{\rm Cap}(P_{1}) does not converge to [math] as , thus proving the failure of the dominated convergence theorem. To provide such a counterexample, we exploited the fact that the capacity is not -additive; indeed, we built a sequence of pairwise disjoint sets, with the same positive capacity, which are contained in a fixed set of finite capacity. The lack of a result such as the dominated convergence theorem explains the technical difficulties we will find in the proofs of Proposition 1.10 and Theorem 1.11.
Let us now introduce a crucial property of outer measures:
Definition 1.4** (Submodularity).**
We say that is submodular provided
[TABLE]
The importance of the above notion is due to the following result (we refer to [8, Chapter 6] for a detailed bibliography):
Theorem 1.5** (Subadditivity theorem).**
It holds that is submodular if and only if the integral associated to is subadditive, i.e.
[TABLE]
Proof.
The ‘if’ trivially follows by taking f:={\raise 1.29167pt\hbox{\chi}}_{E} and g:={\raise 1.29167pt\hbox{\chi}}_{F}, so we turn to the ‘only if’. Notice that, up to a monotone approximation argument based on point of Proposition 1.1, it suffices to consider the case in which assume only a finite number of values and \mu\big{(}\{f>0\}\cup\{g>0\}\big{)}<\infty. Then up to replacing with we can also assume that is finite.
Thus assume this is the case and let be the (finite) algebra generated by , i.e. the one generated by the sets and , . Let be minimal with respect to inclusion among non-empty sets in and ordered in such a way that for every , where (i.e. is the value of on ).
Define a finite measure on by putting
[TABLE]
and notice that (since is finite) the measure is well-defined. We claim that for a -measurable function it holds
[TABLE]
Notice that once such claim is proved the conclusion easily follows from (from the equality case of the claim (1.6) and the choice of enumeration of the ’s), the inequalities , (from the claim (1.6)) and the linearity of the integral w.r.t. .
Also, notice that the equality case in (1.6) is a direct consequence of Cavalieri’s formula for both , the defining property (1.5) and the fact that for as stated it holds for some .
Let us now assume that for some it holds and let us define another finite measure as in (1.5) with the sets replaced by , where for , and . We shall prove that
[TABLE]
and notice that this will give the proof, as with a finite number of such permutations the sets get ordered as in the equality case in (1.6). Using Cavalieri’s formula and noticing that by construction it holds \nu\big{(}\{h>t\}\big{)}=\tilde{\nu}\big{(}\{h>t\}\big{)} for we reduce to prove that
[TABLE]
where . Given that , the conclusion would follow if we showed that . Since
[TABLE]
we know from the submodularity of that , as required. ∎
1.2. Capacity on metric measure spaces
We shall be interested in a specific outer measure: the 2-capacity (to which we shall simply refer as capacity) on a metric measure space .
For the purposes of the current manuscript, by metric measure space we shall always mean a triple such that
[TABLE]
In this setting, starting from [6] (see also [16, 2]) there is a well-defined notion of Sobolev space (or, briefly, ) of real-valued functions on , and to any is associated a function , called minimal weak upper gradient, which plays the role of the modulus of the distributional differential of . For our purposes, it will be useful to recall that is a lattice (i.e. and are in provided ), that the minimal weak upper gradient is local, i.e.
[TABLE]
that if is Lipschitz with bounded support, then
[TABLE]
where we set {\rm lip}(f)(x):=\varlimsup_{y\to x}\big{|}f(y)-f(x)\big{|}/{\sf d}(x,y) if is not isolated, [math] otherwise.
Finally, the norm on is defined as
[TABLE]
and with this norm is always a Banach space whose norm is -lower semicontinuous, i.e.
[TABLE]
where as customary is set to be if .
Even if in general is not Hilbert (and thus the map is not a Dirichlet form), the concept of capacity is well-defined as the definition carries over quite naturally (see e.g. [3], [12] and references therein for the metric setting, and [4] for the more classical framework of Dirichlet forms):
Definition 1.6** (Capacity).**
Let be a given subset of . Let us denote
[TABLE]
Then the capacity of the set is defined as the quantity , given by
[TABLE]
with the convention that whenever the family is empty.
In the following result we recall the main properties of the set-function :
Proposition 1.7**.**
The capacity is a submodular outer measure on , which satisfies the following properties:
* for every Borel subset of ,*
* for any bounded set .*
Proof.
We start claiming that for any it holds
[TABLE]
Indeed, the set \big{\{}(f\vee g)(x),(f\wedge g)(x)\big{\}} coincides with the set \big{\{}f(x),g(x)\big{\}} for -a.e. and thus
[TABLE]
and, similarly, by the locality property (1.9) the set \big{\{}|D(f\vee g)|(x),|D(f\wedge g)|(x)\big{\}} coincides with the set \big{\{}|Df|(x),|Dg|(x)\big{\}} for -a.e. and thus
[TABLE]
Adding up these two identities and integrating we obtain (1.14).
Now let be given and notice that for , , it holds that and , thus
[TABLE]
Hence passing to the infimum over we conclude that
[TABLE]
In particular, this shows that is finitely subadditive and thus to conclude that it is a submodular outer measure it is sufficient to show that if is an increasing sequence of subsets of it holds that {\rm Cap}\big{(}\bigcup_{n}E_{n}\big{)}=\sup_{n}{\rm Cap}(E_{n}). Since trivially if , it is sufficient to prove that {\rm Cap}\big{(}\bigcup_{n}E_{n}\big{)}\leq\sup_{n}{\rm Cap}(E_{n}) and this is obvious if .
Thus assume that and assume for the moment also that the ’s are open. Let be such that . Thus in particular such sequence is bounded in and thus for some we have that in for some . Passing to the (weak) limit in in the inequality f_{n_{k}}\geq{\raise 1.29167pt\hbox{\chi}}_{E_{n_{k}}}\geq{\raise 1.29167pt\hbox{\chi}}_{E_{n_{\ell}}} valid for , we conclude that f\geq{\raise 1.29167pt\hbox{\chi}}_{E_{n_{\ell}}} for every , hence f\geq{\raise 1.29167pt\hbox{\chi}}_{\bigcup_{n}E_{n}}. Since the ’s are open, this means that . Therefore taking into account the semicontinuity property (1.11) we deduce that
[TABLE]
Now let us drop the assumption that the ’s are open. Let . We use the submodularity property (1.15) and an induction argument to find an increasing sequence of open sets such that and . Then taking into account what already proved for open sets we deduce that
[TABLE]
and the conclusion follows from the arbitrariness of .
The inequality in trivially follows noticing that for it holds -a.e. on , thus
[TABLE]
so that the conclusion follows taking the infimum over . For the statement it is sufficient to recall that for any bounded there is Lipschitz with bounded support that is on a neighbourhood of and that such belongs to . ∎
1.3. The space
We have just seen that is a submodular outer measure and in Subsection 1.1 we recalled how integration w.r.t. outer measures is defined. It makes therefore sense to consider the integral associated to and that such integral is subadditive by Proposition 1.7 and Theorem 1.5. In light of this observation, the following definition is meaningful:
Definition 1.8** (The space ).**
Given any two functions , we will say that in the -a.e. sense provided {\rm Cap}\big{(}\{f\neq g\}\big{)}=0. We define as the space of all the equivalence classes – up to -a.e. equality – of Borel functions on .
We endow with the following distance: pick an increasing sequence of open subsets of with finite capacity such that for any bounded there is with (for instance, one could pick for some ), then let us define
[TABLE]
Notice that the integral is well-defined, since its value does not depend on the particular representatives of and , as granted by item of Proposition 1.1. Moreover, we point out that the fact that satisfies the triangle inequality is a consequence of the subadditivity of the integral associated with the capacity.
Remark 1.9**.**
We point out that if then the choice for all is admissible in Definition 1.8.
The next result shows that, even if the choice of the particular sequence might affect the distance , its induced topology remains unaltered.
Proposition 1.10** (Convergence in ).**
The following holds:
- •
Characterization of Cauchy sequences*. Let be given. Then the following conditions are equivalent:*
,
\lim_{n,m}{\rm Cap}\big{(}B\cap\big{\{}|f_{n}-f_{m}|>\varepsilon\big{\}}\big{)}=0* for any and any bounded set .*
- •
Characterization of convergence*. Let and . Then the following conditions are equivalent:*
,
\lim_{n}{\rm Cap}\big{(}B\cap\big{\{}|f_{n}-f|>\varepsilon\big{\}}\big{)}=0* for any and any bounded set .*
Proof.
We shall only prove the characterization of Cauchy sequences, as the other claim follows by similar means.
Fix any and a bounded set . Choose such that . Given that , we have . Therefore we conclude that
[TABLE]
Let be fixed. Choose such that . By our hypothesis, there is such that {\rm Cap}\big{(}A_{i}\cap\big{\{}|f_{n}-f_{m}|>\varepsilon\big{\}}\big{)}\leq\varepsilon\,{\rm Cap}(A_{i}) for every and . Let us call B_{i}^{nm}:=A_{i}\cap\big{\{}|f_{n}-f_{m}|>\varepsilon\big{\}} and . Therefore for any it holds that
[TABLE]
proving that , as required. ∎
Theorem 1.11**.**
The metric space \big{(}L^{0}({\rm Cap}),{\sf d}_{\rm Cap}\big{)} is complete.
Proof.
Let be a -Cauchy sequence of Borel functions . Fix any . Let be an arbitrary subsequence of . Up to passing to a further (not relabeled) subsequence, it holds that
[TABLE]
Let us call F_{i}:=A_{k}\cap\big{\{}|f_{n_{i}}-f_{n_{i+1}}|>2^{-i}\big{\}} for every and . Given that by (1.17), we deduce from item c) of Proposition 1.1 that . Notice that if , then there is such that \big{|}f_{n_{j}}(x)-f_{n_{j+1}}(x)\big{|}\leq 2^{-j} for all , which grants that \big{(}f_{n_{i}}(x)\big{)}_{i}\subseteq\mathbb{R} is a Cauchy sequence for every . Therefore we define the Borel function as
[TABLE]
Now fix any . Choose such that . If and (thus in particular ), hence one has \big{|}f_{n_{i}}(x)-g^{k}(x)\big{|}\leq\sum_{j\geq i}\big{|}f_{n_{j}}(x)-f_{n_{j+1}}(x)\big{|}\leq\sum_{j\geq i}2^{-j}\leq\varepsilon. This implies that
[TABLE]
Then {\rm Cap}\big{(}A_{k}\cap\big{\{}|f_{n_{i}}-g^{k}|>\varepsilon\big{\}}\big{)}\leq\sum_{j\geq i}{\rm Cap}(F_{j})\leq\sum_{j\geq i}2^{-j} holds for every , thus
[TABLE]
We proved this property for some subsequence of a given subsequence of , hence this shows that
[TABLE]
Now let us define the Borel function as f:=\sum_{k\in\mathbb{N}}{\raise 1.29167pt\hbox{\chi}}_{A_{k}}\,g^{k}. Notice that the identity A_{k}\cap\big{\{}|f_{n}-f|>\varepsilon\big{\}}=A_{k}\cap\big{\{}|f_{n}-g^{k}|>\varepsilon\big{\}} and (1.20) yield
[TABLE]
Since any bounded subset of is contained in the set for some , we immediately deduce that \lim_{n}{\rm Cap}\big{(}B\cap\big{\{}|f_{n}-f|>\varepsilon\big{\}}\big{)}=0 whenever and is bounded. This grants that by Proposition 1.10, thus proving that \big{(}L^{0}({\rm Cap}),{\sf d}_{\rm Cap}\big{)} is a complete metric space and accordingly the statement. ∎
We conclude this section with some other basic properties of the metric space \big{(}L^{0}({\rm Cap}),{\sf d}_{\rm Cap}\big{)}:
Proposition 1.12**.**
Let in . Then there exists a subsequence such that for -a.e. it holds that .
Moreover, the space of simple functions, which is defined as
[TABLE]
is dense in \big{(}L^{0}({\rm Cap}),{\sf d}_{\rm Cap}\big{)}.
Proof.
As for the standard case of measures, let the subsequence satisfy for all . By the very definition of , we deduce that for every one has
[TABLE]
Calling g_{j}(x):=\sum_{i=1}^{j-1}\big{|}f_{n_{i}}(x)-f_{n_{i+1}}(x)\big{|}\wedge 1 for every and , we see that for some . Given any , we know from item b) of Proposition 1.1 (and the subadditivity of the integral associated to ) that
[TABLE]
Therefore item v) of Proposition 1.1 ensures that for -a.e. , whence also for -a.e. by arbitrariness of . Now observe that for all and -a.e. it holds that
[TABLE]
By letting in (1.23) we deduce that \big{(}f_{n_{j}}(x)\big{)}_{j}\subset\mathbb{R} is Cauchy for -a.e. , thus it admits a limit . Again by item b) of Proposition 1.1 we know for every that
[TABLE]
By letting in (1.23) we get -a.e., whence for any it holds
[TABLE]
This means that for every , thus accordingly holds -a.e. by item iii) of Proposition 1.1. We then finally conclude that for -a.e. .
For the second statement we argue as follows. Fix and . Choose a Borel representative of . For any integer , let us define E_{i}:=\bar{f}^{-1}\big{(}[i\,\varepsilon,(i+1)\,\varepsilon)\big{)}. Then constitutes a partition of into Borel sets, so that \bar{g}:=\sum_{i\in\mathbb{Z}}i\,\varepsilon\,{\raise 1.29167pt\hbox{\chi}}_{E_{i}} is a well-defined Borel function that belongs to . Finally, it holds that \big{|}\bar{f}(x)-\bar{g}(x)\big{|}<\varepsilon for every , which grants that , where denotes the equivalence class of . Hence the statement follows. ∎
Remark 1.13**.**
In general, -a.e. convergence does not imply convergence in , as shown by the following counterexample. Consider as in Example 1.2 for any . We have that the functions f_{n}:={\raise 1.29167pt\hbox{\chi}}_{P_{n}} pointwise converge to [math] as . However, it holds that
[TABLE]
does not converge to [math], thus we do not have by Proposition 1.10.
1.4. Quasi-continuous functions and quasi-uniform convergence
Here we quickly recall the definition and main properties of quasi-continuous functions associated to Sobolev functions (see [3], [13], [4] for more on the topic and detailed bibliography).
Definition 1.14** (Quasi-continuous functions).**
We say that a function is quasi-continuous provided for every there exists a set with such that the function f\lower 3.0pt\hbox{|_{{\rm X}\setminus E}}:\,{\rm X}\setminus E\to\mathbb{R} is continuous.
It is clear that if agree -a.e. and one of them is quasi-continuous, so is the other. Also, by the very definition of capacity, in defining quasi-continuity one could restrict to sets which are open. In particular, if is quasi-continuous there is an increasing sequence of closed subsets of with such that is continuous on each . Then is a Borel set with null capacity – in particular, we have by item i) of Proposition 1.7 – and is Borel on . This proves that any quasi-continuous function is -measurable and -a.e. equivalent to a Borel function.
We shall denote by the collection of all equivalence classes – up to -a.e. equality – of quasi-continuous functions on . What we just said ensures that . It is readily verified that is an algebra.
Let us now discuss a notion of convergence particularly relevant in relation with :
Definition 1.15** (Local quasi-uniform convergence).**
Let , be Borel functions. Then we say that locally quasi-uniformly converges to as provided for any bounded and any there exists a set with such that uniformly on . In this case, we shall write .
As before, nothing changes if one even requires the set to be open in the above definition and the notion of local quasi-uniform convergence is invariant under modification of the functions in -null sets. Local quasi-uniform convergence is (almost) the convergence induced by the following distance:
[TABLE]
where is any sequence as in Definition 1.8. Indeed, it is trivial to verify that is actually a distance (notice that , as one can see by picking in (1.25)), moreover we have:
Proposition 1.16**.**
Let , be Borel functions. Then
- i)
If , then .
- ii)
If , then any subsequence has a further subsequence, not relabeled, such that .
Proof.
(i) Let and use the definition of local quasi-uniform convergence to find some subsets of such that and uniformly on for any . Choosing the set in (1.25) yields (for sufficiently big)
[TABLE]
and the conclusion follows by the arbitrariness of .
(ii) We shall prove that if then . First, choose a sequence of subsets of such that
[TABLE]
Let and bounded be fixed. Pick such that . Then (1.26) grants the existence of with , thus satisfies . Therefore we have that
[TABLE]
whence accordingly uniformly on . This grants that , as required. ∎
Proposition 1.17**.**
The following properties hold:
- i)
The metric space \big{(}\mathcal{QC}({\rm X}),{\sf d}_{\mathcal{QU}}\big{)} is complete.
- ii)
It holds that for every . In particular, the canonical embedding of in is continuous and has closed image.
- iii)
* is the closure in of the space of (equivalence classes up to -null sets of) continuous functions.*
Proof.
(i) To prove completeness, fix a -Cauchy sequence of quasi-continuous functions. Up to passing to a (not relabeled) subsequence, we can suppose that for all . For any we can pick a set such that the function is continuous on and
[TABLE]
Now define and for every . Hence one has
[TABLE]
for any given , so that uniformly on the set for some continuous function . Let us set
[TABLE]
Clearly is well-defined as on for all . Moreover, we know from (1.27) that \sum_{n\in\mathbb{N}}{\rm Cap}(E_{n}\cap A_{k})\leq 2^{k}\big{(}{\rm Cap}(A_{k})\vee 1\big{)}\sum_{n\in\mathbb{N}}2^{-n}<+\infty holds for every , whence item c) of Proposition 1.1 ensures that for all . By item b) of Proposition 1.1 we see that
[TABLE]
which shows that the function is quasi-continuous. We claim that , which is enough to conclude by item i) of Proposition 1.16. Given any and any bounded set , we can pick such that and , where we set . Therefore we have
[TABLE]
which implies that , as desired.
(ii) Fix and take as in Definition 1.8. Given any , it holds that
[TABLE]
whence accordingly
[TABLE]
for every . By summing over and then passing to the infimum over , we conclude that .
On the other hand, let us consider the set E_{\lambda}:=\big{\{}|f-g|\wedge 1>\lambda\big{\}} for any . Therefore for every one has that by item v) of Proposition 1.1 and that , thus accordingly
[TABLE]
By letting we conclude that , as required.
(iii) Let be a Borel function whose equivalence class up to -null sets belongs to and . Then by definition there is an open set with and f\lower 3.0pt\hbox{|_{{\rm X}\setminus\Omega}} is continuous. By the Tietze extension theorem there is which agrees with on , and – since this latter condition ensures that – the proof is achieved. ∎
We now turn to the relation between quasi-continuity and Sobolev functions, and to do so it is useful to emphasise whether we speak about functions up to -null sets or up to -null sets. We shall therefore write (resp. ) for the equivalence class of the Borel function up to -null (resp. -null) sets.
We start noticing that – since is absolutely continuous with respect to , i.e. -null sets are also -null (recall of Proposition 1.7) – there is a natural projection map
[TABLE]
Since in general there are -null sets which are not -null, such projection operator is typically non-injective. This is why the following result is interesting:
Proposition 1.18** (Uniqueness of quasi-continuous representative).**
Let be quasi-continuous functions. Then -a.e. implies -a.e.. In other words,
[TABLE]
is an injective map.
Proof.
Let . Let open be such that are continuous on . Thus is open in and therefore is open in . By assumption we know that and thus the very definition of capacity yields . Hence
[TABLE]
and the quasi-continuity assumption gives the conclusion. ∎
Proposition 1.19**.**
Let be such that . Then
[TABLE]
Proof.
For any let \Omega_{\lambda}:=\big{\{}|f-g|>\lambda\big{\}}, so that by definition of we have
[TABLE]
Notice that is an open set by continuity of . Moreover, \lambda^{-1}\,\big{[}|f-g|\big{]}_{\mathfrak{m}} is a Sobolev function satisfying \lambda^{-1}\,\big{[}|f-g|\big{]}_{\mathfrak{m}}\geq 1 -a.e. on . Hence {\rm Cap}(\Omega_{\lambda}\cap A_{k})\leq\lambda^{-2}\,{\big{\|}[f-g]_{\mathfrak{m}}\big{\|}}_{W^{1,2}({\rm X})}^{2} holds for all . Plugging this estimate in (1.29) we obtain that
[TABLE]
then by choosing \lambda:={\big{\|}[f]_{\mathfrak{m}}-[g]_{\mathfrak{m}}\big{\|}}_{W^{1,2}({\rm X})}^{\frac{2}{3}} we get the conclusion. ∎
Collecting these last two propositions we obtain the following result:
Theorem 1.20** (Quasi-continuous representative of Sobolev function).**
Suppose that (equivalence classes up to -a.e. equality of) continuous functions in are dense in . Then there exists a unique continuous map
[TABLE]
such that the composition is the inclusion map .
Moreover, is linear and satisfies
[TABLE]
Finally, if in , then any subsequence has a further subsequence converging locally quasi-uniformly.
Proof.
For with the requirements for are that it must belong to and satisfy \Pr\big{(}{\sf QCR}(f)\big{)}=[f]_{\mathfrak{m}}. Thus Proposition 1.18 forces it to be equal to . Proposition 1.19 ensures that such assignment is Lipschitz as map from to , and thus can be uniquely extended to a continuous map on the whole .
Since is linear on continuous functions, by continuity it is linear on the whole . (1.31) is trivial for continuous functions, thus its validity for general ones follows by continuity.
The last statement is a direct consequence of what already proved and Proposition 1.16. ∎
2. Main result
2.1. -normed -modules
The language of -normed -modules over a metric measure space has been proposed and investigated by the second author in [9], with the final aim of developing a differential calculus on spaces. In the present paper, we assume the reader to be familiar with such language. We shall use the term -module in place of -normed -module and we will typically denote by any such object. We refer to [9, 10] for a detailed account about this topic. Here we introduce a new notion of normed module, called -normed -module or, more simply, -module, in which the measure under consideration is the capacity instead of the reference measure .
Let be a metric measure space as in (1.8) and a sequence as in Definition 1.8.
Definition 2.1** (-normed -module).**
We say that a quadruple \big{(}\mathscr{M},\tau,\,\cdot\,,|\cdot|\big{)} is a -normed -module over provided:
* is a topological vector space.*
The bilinear map satisfies and for every and .
The map , called pointwise norm, satisfies
[TABLE]
where all equalities and inequalities are intended in the -a.e. sense.
The distance on , given by
[TABLE]
is complete and induces the topology .
Much like starting from and passing to the quotient up to -a.e. equality we obtain , in the same way by passing to an appropriate quotient starting from an arbitrary -module we obtain a -module. Let us describe this procedure.
Let be a -module and define an equivalence relation on it by declaring
[TABLE]
Then we consider the quotient , the projection map sending to its equivalence class and define the following operations on :
[TABLE]
for every and Borel, where is the projection operator defined in (1.28). Routine verifications show that with these operations is a -module.
For a given -module , the couple is characterized by the following universal property:
Proposition 2.2** (Universal property of ).**
Let be a -module and let be defined as above. Also, let be a -module and be a linear map satisfying
[TABLE]
Then there is a unique -linear and continuous map such that the diagram
[TABLE]
commutes.
In particular, for any other couple with the same property there is a unique isomorphism (i.e. bijection which preserves the whole structure of -module) such that .
Proof.
The latter statement is an obvious consequence of the former, so we concentrate on this one. Let be such that and notice that
[TABLE]
Thus passes to the quotient and defines a map making the diagram (2.2) commute. It is clear that is linear and continuous (the latter being a consequence of (2.1) and the definition), thus to conclude it is sufficient to prove -linearity. By linearity and continuity this will follow if we show that T_{\rm Pr}\big{(}[{\raise 1.29167pt\hbox{\chi}}_{E}]_{\mathfrak{m}}[v]_{\mathfrak{m}}\big{)}=[{\raise 1.29167pt\hbox{\chi}}_{E}]_{\mathfrak{m}}\,T_{\rm Pr}\big{(}[v]_{\mathfrak{m}}\big{)} for any Borel set ; in turn, this will follow if we prove that
[TABLE]
To show this, notice that from (2.1) it follows \big{|}T([{\raise 1.29167pt\hbox{\chi}}_{E^{c}}]_{\rm Cap}\,v)\big{|}\leq[{\raise 1.29167pt\hbox{\chi}}_{E^{c}}]_{\mathfrak{m}}\,{\rm Pr}\big{(}|v|\big{)}, thus multiplying both sides by [{\raise 1.29167pt\hbox{\chi}}_{E}]_{\mathfrak{m}} we obtain
[TABLE]
Therefore
[TABLE]
and the conclusion follows. ∎
Remark 2.3**.**
In analogy with the case of -modules, one could be tempted to define the dual of a -module as the space of -linear continuous maps and to declare that the pointwise norm of any such is the minimal element of (where minimality is intended in the -a.e. sense) such that the inequality holds -a.e. for any that -a.e. satisfies .
Technically speaking, for -modules this can be achieved by using the notion of essential supremum of a family of Borel functions. Nevertheless, it seems that this tool cannot be adapted to the situation in which we want to consider the capacity instead of the reference measure, as suggested by Example 1.2.
Definition 2.4**.**
Let be a -module over . Then we say that is a Hilbert module provided
[TABLE]
for every .
By polarisation, we define a pointwise scalar product as
[TABLE]
Then the operator is -bilinear and satisfies
[TABLE]
2.2. Tangent -module
Let be an space, for some . A fundamental class of Sobolev functions on is that of test functions, denoted by (cf. [9]). We point out that we are in a position to apply Theorem 1.20 above, since Lipschitz functions with bounded support are dense in , as proven in [1]. Moreover, a fact that is fundamental for our discussion (see [15]) is the following:
[TABLE]
In particular, by taking in (2.7) we get for every .
Let us use the notation to indicate the tangent -module over . Recall that denotes the class of test vector fields on , while is the closure of in the Sobolev space . We know from [10, Proposition 2.19] that for any one has that and
[TABLE]
whence in particular \big{|}D|v|^{2}\big{|}\leq 2\,|\nabla v|_{\sf HS}\,|v| holds -a.e.. This in turn implies the following:
Lemma 2.5**.**
Let be an space, for some . Let be fixed. Then and
[TABLE]
Proof.
First of all, we prove the statement for . Given any , let us define the Lipschitz function as for any . Hence by applying the chain rule for minimal weak upper gradients we see that (cf. [2] for the notion of Sobolev class ) and
[TABLE]
This grants the existence of and a sequence such that \big{|}D(\varphi_{\varepsilon_{j}}\circ|v|^{2})\big{|}\rightharpoonup G weakly in as and in the -a.e. sense. Since pointwise -a.e. as , we deduce from the lower semicontinuity of minimal weak upper gradients that and that \big{|}D|v|\big{|}\leq|\nabla v|_{\sf HS} holds -a.e. in .
Now fix . Pick a sequence that -converges to . In particular, and in . By the first part of the proof we know that and \big{|}D|v_{n}|\big{|}\leq|\nabla v_{n}|_{\sf HS} for all , thus accordingly (up to a not relabeled subsequence) we have that \big{|}D|v_{n}|\big{|}\rightharpoonup H weakly in , for some such that holds -a.e. in . Again by lower semicontinuity of minimal weak upper gradients we conclude that with \big{|}D|v|\big{|}\leq|\nabla v|_{\sf HS} in the -a.e. sense, proving the statement. ∎
We now introduce the so-called tangent -module over , which is a -module in the sense of Definition 2.1.
Theorem 2.6** (Tangent -module).**
Let be an space. Then there exists a unique couple \big{(}L^{0}_{\rm Cap}(T{\rm X}),\bar{\nabla}\big{)}, where is a -module over and the operator is linear, such that the following properties hold:
For any we have that the equality |\bar{\nabla}f|={\sf QCR}\big{(}|Df|\big{)} holds -a.e. on (note that as a consequence of Lemma 2.5).
The space of \sum_{n\in\mathbb{N}}{\raise 1.29167pt\hbox{\chi}}_{E_{n}}\bar{\nabla}f_{n}, with and Borel partition of , is dense in .
Uniqueness is intended up to unique isomorphism: given another couple with the same properties, there exists a unique isomorphism with .
The space is called tangent -module associated to , while its elements are said to be -vector fields on . Moreover, the operator is called gradient.
Proof.
Uniqueness. Consider any simple vector field , i.e. v=\sum_{n\in\mathbb{N}}{\raise 1.29167pt\hbox{\chi}}_{E_{n}}\bar{\nabla}f_{n} for some and Borel partition of . We are thus forced to set
[TABLE]
Such definition is well-posed, as granted by the -a.e. equalities
[TABLE]
which also show that preserves the pointwise norm of simple vector fields. In particular, the map is linear and continuous, whence it can be uniquely extended to a linear and continuous operator by density of simple vector fields in . It follows from Proposition 1.12 that preserves the pointwise norm. Moreover, we know from the definition (2.10) that is satisfied for any simple and , whence also for all and by Proposition 1.12. To conclude, just notice that the image of is dense in by density of simple vector fields in , thus accordingly is surjective (as its image is closed, being an isometry). Therefore we proved that there exists a unique module isomorphism such that , as required.
Existence. We define the ‘pre-tangent module’ as the set of all sequences , where and is a Borel partition of . We now define an equivalence relation on : we declare that provided
[TABLE]
The equivalence class of will be denoted by . Moreover, let us define
[TABLE]
for every and , so that inherits a vector space structure; well-posedness of these operations is granted by the locality property of minimal weak upper gradients and by Theorem 1.20. We define the pointwise norm of any given element as
[TABLE]
Then we define as the completion of the metric space \big{(}{\sf Ptm}/\sim\,,{\sf d}_{L^{0}_{\rm Cap}(T{\rm X})}\big{)}, where
[TABLE]
while we set for every test function , thus obtaining a linear operator . Item i) of the statement is thus clearly satisfied. Observe that [E_{n},f_{n}]_{n}=\sum_{n\in\mathbb{N}}{\raise 1.29167pt\hbox{\chi}}_{E_{n}}\bar{\nabla}f_{n} for every , so that also item ii) is verified, as a consequence of the density of in . Now let us define the multiplication operator as follows:
[TABLE]
Therefore the maps defined in (2.11) and (2.13) can be uniquely extended by continuity to a pointwise norm operator and a multiplication by -functions , respectively. It also turns out that the distance is expressed by the formula in (2.12) for any , as one can readily deduce from Proposition 1.12. Finally, standard verifications show that is a -module over , thus concluding the proof. ∎
Remark 2.7**.**
An analogous construction has been carried out in [9] to define the cotangent -module , while the tangent -module was obtained from the cotangent one by duality. However, since we cannot consider duals of -modules (as pointed out in Remark 2.3), we opted for a different axiomatisation. We just underline the fact that, since spaces are infinitesimally Hilbertian, the modules and can be canonically identified via the Riesz isomorphism.
Proposition 2.8**.**
The tangent -module is a Hilbert module.
Proof.
Given any , we deduce from item i) of Theorem 2.6 and the last statement of Theorem 1.20 that
[TABLE]
This grants that the pointwise parallelogram identity (2.4) is satisfied whenever are -linear combinations of elements of \big{\{}\bar{\nabla}f\,:\,f\in{\rm Test}({\rm X})\big{\}}, whence also for any by approximation. This proves that is a Hilbert module, as required. ∎
We now investigate the relation that subsists between tangent -module and tangent -module. We start with the following result, which shows the existence of a natural projection operator sending to :
Proposition 2.9**.**
There exists a unique linear continuous operator that satisfies the following properties:
* for every .*
* for every and .*
Moreover, the operator satisfies
[TABLE]
Proof.
Given a Borel partition of and , we are forced to set
[TABLE]
The well-posedness of such definition stems from the following -a.e. equalities:
[TABLE]
Moreover, we also infer that such map – which is linear by construction – is also continuous, whence it admits a unique linear and continuous extension . Property i) is clearly satisfied by (2.15). From the linearity of and , we deduce that property ii) holds for any simple function , thus also for any by approximation. Finally, again by approximation we see that (2.14) follows from (2.16). ∎
The fact that can be thought of as a natural ‘refinement’ of the already known is now encoded in the following proposition, which shows that \big{(}L^{0}_{\mathfrak{m}}(T{\rm X}),\bar{\Pr}\big{)} is the canonical quotient of up to -a.e. equality (recall Proposition 2.2):
Proposition 2.10**.**
Let be a -module and linear and such that
[TABLE]
Then there is a unique -linear and continuous map such that the diagram
[TABLE]
commutes.
Proof.
By (2.17) it follows that \big{|}T(\bar{\nabla}f)-T(\bar{\nabla}g)\big{|}\leq\big{|}D(f-g)\big{|} holds -a.e. and thus
[TABLE]
Now let be the space of finite sums of the form \sum_{i}[{\raise 1.29167pt\hbox{\chi}}_{E_{i}}]_{\mathfrak{m}}\nabla f_{i} for Borel subsets of and , and define as:
[TABLE]
The implication in (2.19) grants that this is a good definition, i.e. the value of depends only on and not on how it is written as finite sum of the form \sum_{i}[{\raise 1.29167pt\hbox{\chi}}_{E_{i}}]_{\mathfrak{m}}\nabla f_{i}. It is clear that is linear and that, by (2.17) and item i) of Theorem 2.6, it holds
[TABLE]
In particular, is 1-Lipschitz from (with the -distance) to . Since is dense in , can be uniquely extended to a continuous map – still denoted by – from to . Clearly such extension is linear and, by (2.20), it also satisfies S\big{(}[{\raise 1.29167pt\hbox{\chi}}_{E}]_{\mathfrak{m}}v\big{)}=[{\raise 1.29167pt\hbox{\chi}}_{E}]_{\mathfrak{m}}S(v) (e.g. by mimicking the arguments used in the proof of Proposition 2.2). These two facts easily imply -linearity, thus showing existence of the desired map . For uniqueness simply notice that the value of on the dense subspace of is forced by the commutativity of the diagram in (2.18). ∎
2.3. Quasi-continuity of Sobolev vector fields on
spaces
Let be an space, for some . The aim of this conclusive subsection is to prove that any element of the space admits a quasi-continuous representative, in a suitable sense. We begin with the definition of quasi-continuous vector field on :
Definition 2.11** (Quasi-continuity for vector fields).**
We define the set as
[TABLE]
Then the space of quasi-continuous vector fields on is defined as the -closure of in . It clearly holds that is a vector subspace of .
Proposition 2.12**.**
Let be given. Then it holds that .
Proof.
First of all, if then
[TABLE]
For general we proceed by approximation: chosen any sequence such that , or equivalently {\sf d}_{\rm Cap}\big{(}|v_{n}-v|,0\big{)}\to 0, we have that with respect to , whence accordingly by Proposition 1.17. ∎
Proposition 2.13**.**
It holds that the map \bar{\Pr}\lower 3.0pt\hbox{|_{\mathcal{QC}(T{\rm X})}}:\,\mathcal{QC}(T{\rm X})\to L^{0}_{\mathfrak{m}}(T{\rm X}) is injective.
Proof.
Let be such that . In other words, we have that
[TABLE]
whence Proposition 1.18 grants that holds -a.e. in . This shows that , thus proving the claim. ∎
We are ready to state and prove the main result of the paper: any element of admits a quasi-continuous representative in . This is a generalisation of Theorem 1.20 to vector fields over an space.
Theorem 2.14** (Quasi-continuous representative of a Sobolev vector field).**
Let us fix any space , for some . Then there exists a unique map
[TABLE]
such that coincides with the inclusion . Moreover, is linear and \big{|}\bar{\sf QCR}(v)\big{|}={\sf QCR}\big{(}|v|\big{)} holds for every .
Proof.
Fix . Pick such that in . We know from Lemma 2.5 that and \big{|}D|v_{n}-v|\big{|}\leq\big{|}\nabla(v_{n}-v)\big{|}_{\sf HS} -a.e. for all , thus accordingly in as . Proposition 1.19 grants that – up to a (not relabeled) subsequence – we have that {\sf QCR}\big{(}|v_{n}-v|\big{)}\to 0 locally quasi-uniformly as , whence {\sf QCR}\big{(}|v_{n}-v_{m}|\big{)}\to 0 locally quasi-uniformly as . Thus Proposition 1.17 yields
[TABLE]
This shows that is Cauchy, thus it converges to some . Hence one has \bar{\Pr}(\bar{v})=\bar{\Pr}\big{(}\lim_{n}\bar{v}_{n}\big{)}=\lim_{n}\bar{\Pr}(\bar{v}_{n})=\lim_{n}v_{n}=v, so that we define . Proposition 2.13 grants that the map is well-defined and is the unique map such that coincides with the inclusion . Finally, the last two statements follow from linearity of , Theorem 1.20 and Proposition 2.13. ∎
Remark 2.15**.**
From the defining property of and Propositions 2.9, 2.13 we see that for every . Then it is easy to see that \bar{\sf QCR}\big{(}{\rm TestV}({\rm X})\big{)}={\rm Test\bar{V}}({\rm X}).
Remark 2.16** (Alternative notion of quasi-continuous vector field).**
It is well-known that a vector field in the Euclidean space is quasi-continuous if and only if \mathbb{R}^{n}\ni x\mapsto\big{|}v(x)-\nabla f(x)\big{|} is quasi-continuous for every smooth function . This would suggest an alternative definition of quasi-continuous vector field on the space :
[TABLE]
The well-posedness of the previous definition follows from the fact that quasi-continuity is preserved under modification on -negligible sets. As we are going to show, it holds that
[TABLE]
In order to prove it, let us fix . Given any and such that in , we see (by arguing as in the proof of Lemma 2.12) that holds for every , therefore also as an immediate consequence of the fact that in . Since is arbitrary, the claim (2.24) is proven.
Notice that due to the non-linearity of the defining condition (2.23) it is not clear if is a vector space or not. In particular, it is not clear if the inclusion in (2.24) can be strict.
We conclude giving a simple and explicit example to which the definitions and constructions presented in the paper can be applied:
Example 2.17** (The case ).**
Let us see how the definitions we gave work in the case is the Euclidean segment equipped with its natural distance and measure. It is well known and easy to check that in this space every singleton has positive capacity. It follows that the space coincides, as a set, with the space of all real valued Borel functions on and similarly the space coincides with the space of continuous functions on . In particular, the quasi-continuous representative of a Sobolev function is, in fact, its continuous representative.
A direct verification of the definitions then shows that for we have as well and, identifying with their continuous representatives, it also holds . In particular, for any we have that (the continuous representative of) is continuous and equal to 0 in .
We now claim that is (=can be identified with) the space of Borel functions on which are 0 on , the corresponding gradient map being the one which assigns to any the continuous representative of , which shall hereafter be denoted by . The verification of this claim follows from the above discussion and the uniqueness part of Theorem 2.6.
It is then clear that consists of continuous elements in , i.e. of continuous functions which are zero on , and that coincides with the space introduced in the previous remark.
This simple example shows that:
- a)
The constant dimension property of spaces recently obtained in [5], which is known to carry over to the ‘standard’ tangent module , does not carry over to the module introduced in this manuscript: adapting the definitions in [9], one can see that in our example the dimension of over is 0 and over is 1.
- b)
The estimates obtained in [14] from which one can deduce that the capacity of the critical set of solutions of elliptic PDEs is 0, do not carry over to the setting, and in fact not even in the setting of non-collapsed spaces. Indeed, in our example the critical set of any function on whose Laplacian is also a function (and not a measure) contains : the problem seems to be the presence of the ‘boundary’, see also [11] for further comments about the definition of boundary of a space.
- *
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