The main issue we are studying in this paper is that of aggregation maps, which refers to the process of combining various input values into a single output. We apply aggregated special maps on Mittag-Leffler-type functions in one parameter to get diverse approximation errors for fractional-order systems in Hilfer sense using an optimal method. Indeed, making use of various well-known special functions that are initially chosen, we establish a new class of matrix-valued fuzzy controllers to evaluate maximal stability and minimal error. An example is given to illustrate the numerical results by charts and tables.
Citation: Safoura Rezaei Aderyani, Reza Saadati, Donal O'Regan, Fehaid Salem Alshammari. Application of aggregated control functions for approximating C-Hilfer fractional differential equations[J]. AIMS Mathematics, 2023, 8(11): 28010-28032. doi: 10.3934/math.20231433
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The main issue we are studying in this paper is that of aggregation maps, which refers to the process of combining various input values into a single output. We apply aggregated special maps on Mittag-Leffler-type functions in one parameter to get diverse approximation errors for fractional-order systems in Hilfer sense using an optimal method. Indeed, making use of various well-known special functions that are initially chosen, we establish a new class of matrix-valued fuzzy controllers to evaluate maximal stability and minimal error. An example is given to illustrate the numerical results by charts and tables.
Multifractal theory was first introduced by Mandelbrot in [43,44]. In the multifractal analysis of measures, the study of the behavior of the measure is usually transformed into a study of sets related to the local behavior of such measures called level sets and defined according to the so-called Holder regularity of the measure. The focus thus may somehow forget about the measure and its point-wise character and falls in set theory and the suitable coverings that permit the computation of the Hausdorff dimension. However, some geometric sets are essentially known by means of measures that are supported by them, i.e., given a set E and a measure μ, the quantity μ(E) may be computed as the maximum value μ(F) for all subsets F⊂E. So, contrarily to the previous idea, we mathematically forget the geometric structure of E and focus instead on the properties of the measure μ. The set E is thus partitioned into α-level sets Xμ(α) relatively to the regularity exponent of μ. This makes the inclusion of the measure μ into the computation of the Hausdorff (or fractal) dimension and thus into the definition of the Hausdorff measure a necessity to understand more the geometry of the set simultaneously with the behavior of the measure that is supported on. One step ahead in this direction has been conducted by Olsen in [50] where the author introduced multifractal generalizations of the fractal dimensions such as Hausdorff, packing and Bouligand ones by considering general variants of measures.
Then Olsen established the multifractal formalism in [50] and proved some density theorems for the multifractal Hausdorff measure Hq,tμ and the multifractal packing measure Pq,tμ in Rd, d≥1. These measures have been investigated by a large number of authors [6,19,26,28,32,34,51,52,54,57]. The measure Hq,tμ is of course a multifractal generalization of the centered Hausdorff measure, whereas Pq,tμ is a multifractal generalization of the packing measure. Moreover, the developments showed that to get a valid variant of the multifractal formalism does not require the application of radius power-laws equivalent measures. This leads one to think about a general framework where the restriction of the function on balls may be any measure which is not equivalent to power-laws rα and develop a new multifractal analysis (see also [49,66]). In particular, J. Cole introduced in [16] a general formalism for the multifractal analysis of one probability measure μ with respect to another measure ν. More specifically, he calculated, for α≥0, the size of the set
E(α)={x∈suppμ∩suppν;limr→0logμ(B(x,r))logν(B(x,r))=α}, |
where suppμ is the topologic support of μ. For this, Cole introduced a generalized Hausdorff and packing measures Hq,tμ and Pq,tμ respectively, where μ=(μ,ν). The relative multifractal dimensions b and B defined by these measures were used to give estimates for the multifractal spectrum of a measure. In several recent papers on multifractal analysis, this type of multifractal analysis has re-emerged as mathematicians and physicists have begun to discuss the idea of performing multifractal analysis with respect to an arbitrary reference measure, see for example [2,7,19,20,42,49,59,60,61] see also [8,9,10]. In [22,37], the authors prove a modification of this type of analysis. Instead of studying sets of points with a local dimension which is given with respect to the Lebesgue measure, they studied sets of points with a local dimension given with respect to a non-atomic probability measure ν and checks an auxiliary condition. Actually, it is very natural to study this formalism of multifractal analysis for what differs slightly from what was introduced in [16]. The difference between the two types is that we used centered ν-δ-coverings and centered ν-δ-packings rather than centered δ-coverings and δ-packings. These relative multifractal measures and dimensions have been used for other purposes as well, for example, [19,59] and have recently become an object of study themselves, see [22,42,60,61]. Its intuitive connection to statistical mechanics has been a major theme in the development of multifractal analysis of one measure with respect to another. The use of thermodynamic formalism in the context of the code space is the focus of this analysis. It introduces topological pressure, Gibbs states, and entropy in particular, and it derives the variational principle, which connects pressure and entropy. We have focused our attention on what, in our opinion, are the key historical advances in the field because there is a wealth of material on the subject and it is surely conceivable to produce a book on it in many volumes.
Balls in the space Rd obtained from the usual Euclidean norm possess certain nice regularity properties: the diameter of a ball is twice its radius, and open and closed balls of the same radius have the same diameter. In arbitrary metric spaces, the possible absence of such regularity properties means that the usual measure construction based on diameters can lead to packing measures with undesirable features. We will show that, under some new definitions, the fundamental properties of Euclidean measures carry over to general metric spaces. In this paper, we will investigate the measures Hq,tμ and Pq,tμ in a general metric space. In particular, we prove that they are regular in section 2. In section 3.1, we will prove that these measures can be expressed as Henstock-Thomas "variation" measures. As an applicaton, we prove that Hq,tμ≤Pq,tμ provided that μ and ν satisfying the doubling condition in a general metric space (see definition in section 2).
Regular sets are defined by density with respect to the Hausdorff measure [17,23,27,46,47,48], to packing measure [56,63,64] or to Hewitt-Stromberg measure [3,4,11,39,40,41]. Tricot et al. [56,63] managed to show that a subset of Rd has an integer Hausdorff and packing dimension if it is strongly regular. Then, the results of [56] were improved to a generalized Hausdorff measure in a Polish space by Mattila and Mauldin in [47]. Later, Baek [12] used the multifractal density theorems [50,53] to prove the decomposition theorem for the regularities of a generalized centered Hausdorff measure and a generalized packing measure in a Euclidean space which enables him to split a set into regular and irregular parts. In addition, he extended the Olsen's density theorem to any measurable set. Later, these results have been improved in some different contexts in [21,22,58,59]. In the present paper, we will formulate a new version of the density theorem given in [23,50,56] in section 5.1. As an application, we will study the generalized Hausdorff and packing measures of cartesian product sets by means of the measure of their components. Furthermore, we will set up in section 5.2 a necessary and sufficient condition for which we have Hq,tμ(E)=Pq,tμ(E): such set E is said to be strong regular.
We end this section with some useful definitions. Let (X,ρ) be a separable metric space and consider nonempty subset E of X. The diameter of E is defined by
diam(E)=sup{ρ(x,y);x,y∈E}. |
We define the closed ball with center x and radius r>0 by
B(x,r)={y∈X;ρ(x,y)≤r}. |
In most "regular" spaces, such as Euclidean space Rd, an open or closed ball has one center and one radius, in particular, r=diam(B)/2; however, in general, neither the radius nor center of a ball need be unique. For convenience, take X={(x,y)∈R2;x≤0}⋃B, where B={(2,0),(3,0)}, with the subspace topology inherited from R2. Let a=(2,0) and b=(3,0), then,
B(a,r1)=B(b,r2)={a,b} |
for any r1∈(1,2) and r2∈[1,3). In particular diam(B)=1. Therefore, in general metric space, the center x or radius r of a ball are not uniquely determined by the sets B(x,r) so we emphasize a center and radius are given as the constituent.
Definition 1. A constituent π is a collection of ordered pairs (x,r), where x∈X and r>0. It represents the closed ball centered at x with radius r. Let ε>0, π is said to be ε-fine if r≤ε for all (x,r)∈π. Moreover, π is said to be fine cover of E⊆X if, for every x∈E and every δ>0, there exists r>0 such that r<δ and (x,r)∈π.
We consider a collection of constituents π={(xi,ri)} with xi∈E and ri>0, then in several spaces (such Euclidean space Rd) we have π is a packing of E if, and only if, π is a relative-packing of E, i.e., for all (x,r)≠(x′,r′)∈π we have
ρ(x,x′)>r+r′⟺B(x,r)∩B(x′,r′)=∅. |
Clearly this is not the case in general metric space and so we may consider a variant definition of packing measure. In addition, we can also relax the condition on ball relative-packings, and consider families of balls {(xi,ri)} centered in E such that the intersection of any two of them contains no point xi, which we will called weak-packing of E. This gives a three different generalized packing measures : Pq,tμ, Rq,tμ and Wq,tμ respectively.
Let Θ∈P(X), we say that Θ has the weak-Vitali property (respectively, relative-Vitali, strong-Vitali) if, for any Borel set E⊆X with Θ(E)<∞ and any fine cover β of E, there exists a countable weak-packing π⊂β of E (respectively, relative-packing, packing) such that
Θ(E∖⋃(x,r)∈πB(x,r))=0. |
It's clear that if a measure Θ has the strong-Vitali property then Θ has the relative-Vitali property and if Θ has the relative-Vitali property then Θ has the weak-Vitali property. Moreover, if X is the Euclidean space Rd then every finite Borel measure has the strong-Vitali property [13,24]. Unfortunately, the strong Vitali property (and even the weak-Vitali property) fails for some measures in some metric spaces. For this, we will assume this property when required which is not a restrictive assumption in this paper. The interested reader is referred to [30,31,38] for more discussion.
Let (X,ρ) be a separable metric space and denote by P(X) the set of finite positive Borel measures on X. For μ∈P(X) and a>1, we write
Pa(μ)=lim supr↘0(supx∈suppμμ(B(x,ar))μ(B(x,r))). |
We say that the measure μ satisfies the doubling condition if there exists a>1 such that Pa(μ)<∞. It is easily seen that the exact value of the parameter a is unimportant:
Pa(μ)<∞,for somea>1 if and only ifPa(μ)<∞, for alla>1. |
Also, we denote by P0(X) the family of finite positive Borel measures on X which satisfy the doubling condition. We can cite classical examples of doubling measures, self-similar measures, and self-conformal ones [50].
While the definitions of the generalized packing measure and generalized Hausdorff measure are well-known, we have, nevertheless, decided to briefly recall the definitions below. Since we are working in separable metric spaces, the different definitions that appear in the literature may not all agree and for this reason it is useful to state precisely the definition that we are using. In this paper we denote μ=(μ,ν) where μ,ν∈P(X).
Now we will consider possible generalizations of the definition. Let E⊆X and δ>0, a collection β of constituents is a (centered) δ-cover of E if x∈E, r<δ for all (x,r)∈β and E⊆⋃(x,r)∈βB(x,r). We write
Hq,tμ,δ(E)=inf{∑(x,r)∈βμ(B(x,r))qν(B(x,r))t|βis aδ-cover ofE},Hq,tμ,0(E)=supδ>0Hq,tμ,δ(E)=limδ→0Hq,tμ,δ(E), |
with the conventions 0q=∞ for q≤0 and 0q=0 for q>0. The function Hq,tμ,0 is sub-additive but not increasing. For this, we will use the following modification:
Hq,tμ(E)=supF⊆EHq,tμ,0(F). |
The function Hq,tμ is a metric outer measure. In addition [16], there exists a unique number dimqμ(E)∈[−∞,+∞], such that
Hq,tμ(E)={∞ift<dimqμ(E),0ifdimqμ(E)<t. |
We give here a multifractal extension of dimension of measure: We define for Θ∈P(X),
dimqμ(Θ)=infE{dimqμ(E);Θ(X∖E)=0}. |
Remark 2.1. For any sets E,F⊆X, we have
Hq,tμ,0(E∪F)≤Hq,tμ,0(E)+Hq,tμ,0(F) |
and we have the equality if ρ(E,F)>0.
Remark 2.2. If (X,ρ) is not separable, for small enough δ>0 there is no countable cover by sets of diameter less than δ. So the infinimum in the definition of Hausdorff's outer measure is over the empty set and then it is +∞. So the limit for δ going to zero is also +∞. So that for a non-separable set X for any q,t∈R the Hausdorff measure is Hq,tμ(X)=+∞ and the Hausdorff dimension of X is +∞.
Let E⊆X and δ>0, a collection of constituents π is a δ-packing of E if, and only if, for all (x,r)≠(x′,r′)∈π we have
ρ(x,x′)>r+r′ | (2.1) |
and r<δ, for all (x,r)∈π. We denote by Υδ(E) the set of all δ-packing of E. Let q,t∈R and μ∈P(X). We write for E≠∅,
Pq,tμ,δ(E)=sup{∑iμ(B(xi,ri))qν(B(xi,ri))t;(xi,ri)i∈Υδ(E)},Pq,tμ,0(E)=infδ>0Pq,tμ,δ(E)=limδ→0Pq,tμ,δ(E). |
The function Pq,tμ,0 is increasing but not sub-additive. By applying now the standard construction [55,65,67], we obtain the generalized packing measure defined as follows
Pq,tμ(E)=inf{∞∑i=1Pq,tμ,0(Ei);E⊆∞⋃i=1Ei}, |
if E=∅ then Pq,tμ(∅)=0. The function Pq,tμ is of course a multifractal generalization of the packing measure Pt [36,56]. In addition [16], there exists a unique number Dimqμ(E)∈[−∞,+∞], such that
Pq,tμ(E)={∞ift<Dimqμ(E),0ifDimqμ(E)<t. |
We give the multifractal extension of dimension of measure: For Θ∈P(X), we define
Dimqμ(Θ)=infE{Dimqμ(E);Θ(X∖E)=0}. |
Note that a δ-packing π of a set E may be interpreted in Euclidean space as: B(x,r)⋂B(x′,r′)=∅ for all (x,r)≠(x′,r′)∈π. Since this is not the case in general metric space, we may consider a new generalized measure. A collection of constituents π is a δ-relative-packing of E if, and only if, for all (x,r)≠(x′,r′)∈π we have
B(x,r)⋂B(x′,r′)=∅ | (2.2) |
and r<δ, for all (x,r)∈π. We denote by ˜Υδ(E) the set of all δ-relative-packing of E. Let q,t∈R, and μ,ν∈P(X). We write for E≠∅,
Rq,tμ,δ(E)=sup{∑iμ(B(xi,ri))qν(B(xi,ri))t;(xi,ri)i∈˜Υδ(E)},Rq,tμ,0(E)=infδ>0Rq,tμ,δ(E)=limδ→0Rq,tμ,δ(E). |
The function Rq,tμ,0 is increasing but not sub-additive. Similarly, by applying a standard construction, we obtain the generalized relative-packing measure defined by
Rq,tμ(E)=inf{∞∑i=1Rq,tμ,0(Ei);E⊆∞⋃i=1Ei}, |
if E=∅ then Rq,tμ(∅)=0. The function Rq,tμ is a generalization of the (b)-packing measure introduced in [25]. We can also relax the condition on ball relative-packings, and consider families of balls centered in E such that the intersection of any two of them contains no point xi. More precisely, (xi,ri)i, xi∈E and ri>0, is a δ-weak-packing of E if and only if, for all i,j=1,2,…, we have
i≠j⟹ρ(xi,xj)>max(ri,rj) |
and ri<δ. We denote by ˜˜Υδ(E) the set of all δ-weak-packing of E. Similarly, the weak-packing h-measure Wq,tμ is defined by
Wq,tμ,δ(E)=sup{∑iμ(B(xi,ri))qν(B(xi,ri))t;(xi,ri)i∈˜˜Υδ(E)},Wq,tμ,0(E)=infδ>0Wq,tμ,δ(E)=limδ→0Wq,tμ,δ(E),Wq,tμ(E)=inf{∞∑i=1Wq,tμ,0(Ei);E⊆∞⋃i=1Ei} |
if E≠∅ and Wq,tμ(∅)=0. The function Wq,tμ is a generalization of the weak-packing measure Wt [33].
Remark 2.3. It is clear that in Euclidean space we have Rq,tμ=Pq,tμ≤Wq,tμ, but in a general metric space, we only have: every packing is a relative-packing, and every relative-packing is a weak-packing which implies that
Pq,tμ≤Rq,tμ≤Wq,tμ. |
In the next proposition, we will prove that the three definitions agree within a constant γ provided that μ,ν∈P0(X). Nevertheless, this doubling assumption on μ and ν does not matter under a suitable condition on X (see Section 5.3).
Proposition 2.4. Let μ,ν∈P0(X) and q,t∈R. Then, there exists a constant γ such that
Wq,tμ≤γPq,tμ. | (2.3) |
Proof. If (xi,ri) is a δ-weak-packing of E then (xi,ri/2) is a δ-packing of E and we get the right side of the inequality (2.3) since μ,ν∈P0(X).
Remark 2.5. If μ coincides with ν and is equal to the Lebesgue measure then the multifractal measures reduce to the classical measures introduced in [23].
We will prove, in this short section, that the generalized fractal measures are regular, that is, for any subset E⊆X, there exists a Borel subset B such that
E⊆B and Γ(E)=Γ(B), |
where Γ∈{Wq,tμ,Pq,tμ,Hq,tμ}. In the following proposition, we give the result for Pq,tμ and Wq,tμ. This is done by proving, for all E⊆X, the closure theorem, that is, Pq,tμ,0(E)=Pq,tμ,0(¯E) and Wq,tμ,0(E)=Wq,tμ,0(¯E), where ¯E is the closure of E. The closure theorem may fail when we consider the relative packing measure [23,Example 5.18].
Proposition 2.6. Let μ,ν∈P(X) and q,t∈R. Then Wq,tμ and Pq,tμ are regular measures on X.
Proof. First we claim that for any set E⊆X we have
Wq,tμ(E)=inf{∞∑i=1Wq,tμ,0(¯Ei);E⊆∞⋃i=1Ei}. | (2.4) |
Therefore, for any positive integer n, we may choose sets {Eni}i such that E⊆⋃∞i=1Eni and
∑iWq,tμ,0(¯Eni)≤Wq,tμ(E)+1n. |
Put B=∩n∪i¯Eni, then the set B is Borel with E⊆B. In addition, for any integer n we have
Wq,tμ(E)≤Wq,tμ(B)≤Wq,tμ(∪i¯Eni)≤∑iWq,tμ(¯Eni)≤Wq,tμ(E)+1n. |
Now, we will prove (2.4), for this, we only have to prove that Wq,tμ,0(E)=Wq,tμ,0(¯E). Since the function Wq,tμ,0 is monotonic, we need only prove that
Wq,tμ,0(E)≥Wq,tμ,0(¯E). |
Let ϵ>0, δ>0 and consider π={(xi,ri)} to be a δ-weak-packing of ¯E. For each i, by continuity we can choose ηi>0 and yi∈E such that ρ(yi,xi)<ηi. It follows that {(yi,ri−12ηi)} is a δ-weak-packing of E. We want ηi<ri as well. Then
μ(B(xi,ri))qν(B(xi,ri))t−ϵ2i≤μ(B(yi,ri−12ηi))qν(B(yi,ri−12ηi))t |
and so
∑iμ(B(xi,ri))qν(B(xi,ri))t≤∑iμ(B(yi,ri−12ηi))qν(B(yi,ri−12ηi))t+ϵ≤Wq,tμ,δ+ϵ. |
Hence Wq,tμ,δ(¯E)≤Wq,tμ,δ(E)+ϵ. Letting ϵ and δ to 0 to get the desire result.
Remark 2.7. As a standard consequence of the regularity, we have
ifEn↗EthenWq,tμ(En)→Wq,tμ(E). |
The following result proves that Hq,tμ is Borel regular measure. This is done by the construction of new multifractal fractal measure ˜Hq,tμ, in a similar manner to Hq,tμ but using the class of all covering balls in the definition rather than the class of all centered balls. The idea is to prove that ˜Hq,tμ is regular and ˜Hq,tμ is comparable to Hq,tμ. This result has been studied in [20].
Theorem 2.8. [20] Let μ,ν∈P0(X) and q,t∈R. Then Hq,tμ is regular. Moreover, if q,t≤0, then this measure is regular even without doubling condition on μ and ν.
We will prove that the generalized Hausdorff, packing and weak-packing measures can be expressed as Henstock-Thomas "variation" measures. Note that these measures have been introduced in [61] in Euclidean space, but here we will define the "variation" measures in general metric space.
Let E⊆X and β is a collection of constituents such that x∈E for each (x,r)∈β. Recall that β is said to be fine cover of E if, for every x∈E and every δ>0, there exists r>0 such that r<δ and (x,r)∈β.
Lemma 3.1. [23,Theorem 3.1] Let X be a metric space, E⊆X and β be a fine cover of E. Then there exists either
1. an infinite packing {(xi,ri)}⊆β of E such that infri>0, \\ or
2. a countable closed ball packing {(xi,ri)}⊆β such that for all n∈N,
E⊆n⋃i=1¯B(xi,ri)∪∞⋃i=n+1¯B(xi,3ri). |
Definition 2. Let μ,ν∈P(X) and q,t∈R. If β is a fine cover of E≠∅, we define
Hq,tβ,μ(E)=sup{∑(x,r)∈πμ(B(x,r))qν(B(x,r))t}, |
where the supremum is over all (closed balls) packing with π⊆β, that is ρ(x,x′)>r+r′ for all (x,r),(x′,r′)∈π with (x,r)≠(x′,r′). The fine variation on E is defined by
Hq,tμ(E)=inf{Hq,tβ,μ(E):β is a fine cover of E} |
and Hq,tμ(∅)=0.
Definition 3. Let E⊆X, π be a collection of constituents and Δ be a gauge function for E, that is a function Δ:E→(0,∞). π is said to be Δ-fine if r<Δ(x) for all (x,r)∈π.
Let Δ be a gauge function for a set E⊆X. We write,
Wq,tΔ,μ(E)=sup{∑(x,r)∈πμ(B(x,r))qν(B(x,r))t}, |
where the supremum is over all Δ-fine weak-packings π of E. As Δ decreases pointwise, the value Wq,hΔ,μ(E) decreases. For the limit, we write
Wq,t∗,μ(E)=infΔWq,tΔ,μ(E), |
where the infimum is over all gauges Δ for E. Similarly, we define
Pq,t∗,μ(E)=infΔPq,tΔ,μ(E), |
where we use in the definition of Pq,tΔ,μ the Δ-fine packings.
Proposition 3.2. Let μ,ν∈P(X) and q,t∈R. Then Hq,tμ, Wq,t∗,μ and Pq,t∗,μ are metric outer measures on X and then they are measures on the Borel algebra.
Proof. See Propositions 3.11 and 3.15 in [23].
The measure Hq,tμ is absolutely continuous with respect to Hq,tμ and we write Hq,tμ≪Hq,tμ, that is, Hq,tμ=0 for every Borel set with Hq,tμ(E)=0. More precisely, we have the following lemma which generalize Lemma 2.3 in [15] in Euclidean space.
Lemma 3.3. Let μ,ν∈P(X), q,t∈R and E a Borel subset of X. Assume that Hq,tμ(E)=0 then Hq,tμ(E)=0.
Proof. Let ϵ>0, since for each positive integer n we have Hq,tμ,1/n=0, then we can find a centered cover (xin,rin)i of E such that rin≤1/n and
∑iμ(B(xin,rin))qν(B(xin,rin))t≤ϵ2n. |
Now, for each n and i, we consider
βin:={(y,rin):ρ(y,xin)≤rin} |
and put β=⋃i,nβin. Then β is a fine cover of E. Let π⊆β be a packing. Since all elements of βin contain xin, there is at most one element of βin in π. Hence,
∑(x,r)∈πμ(B(x,r))qν(B(x,r))t≤∑n∑iμ(B(xin,rin))qν(B(xin,rin))t≤∑nϵ2n=ϵ. |
Taking the supremum over all packings π⊆β gives Hq,tμ(E)≤Hq,tβ,μ(E)≤ϵ, and so Hq,tμ(E)=0.
In the next, we will prove that the fine variation Hq,tμ can be compared to the multifractal Hausdorff measure measure Hq,tμ. Note that, we do not make any assumption on μ or ν. First, we give the following definition.
Definition 4. For x∈X, q,t∈R, and μ,ν,Θ∈P(X). The lower and upper (q,t)-density of Θ with respect to μ and ν at x∈suppμ∩suppν, are defined respectively as follows
D_q,tμ(x,Θ)=lim infr→0Θ(B(x,r))μ(B(x,r))qν(B(x,r))t | (3.1) |
and
¯Dq,tμ(x,Θ)=lim supr→0Θ(B(x,r))μ(B(x,r))qν(B(x,r)t. | (3.2) |
If D_q,tμ(x,Θ)=¯Dq,tμ(x,Θ) we denote Dq,tμ(x,Θ) the commune value. The main densities result in this section (Theorem 3.7 and 3.9) links the quantities Θ(E) and the generalized fractal measures via the lower or upper q-density of μ and ν. This connection, is made through the use of certain vitali property of Θ.
Proposition 3.4. For all Borel sets E⊆X, we have Hq,tμ(E)≤Hq,tμ(E).
Proof. We may clearly assume that Hq,tμ(E)<∞. Fix a>1 and let Θ denote the restriction of Hq,tμ to E, i.e., Θ(A)=Hq,tμ(A∩E), for all A⊆X. Write
F={x∈E,¯Dq,tμ(x,Θ)≤a−3}andG={x∈E,¯Dq,tμ(x,Θ)>a−3}, |
where ¯Dq,tμ(x,Θ) is defined in (3.2). First consider the set F, we will prove that Hq,tμ(F)=0. For n∈N, we set
Fn={x∈F,Θ(B(x,r))μ(B(x,r))qν(B(x,r))t<a−2,for allr<1/n}. |
In the next, we will prove that Hq,tμ(Fn)=0. Let δ<1/n and β be a δ-cover of Fn, then
∑(x,r)∈βμ(B(x,r))qν(B(x,r))t≥a2∑(x,r)∈βΘ(B(x,r))≥a2Θ(⋃(x,r)∈βB(x,r))≥a2ν(Fn)=a2Hq,tμ(Fn). |
Hence Hq,tμ,δ(Fn)≥a2Hq,tμ(Fn), which implies that
Hq,tμ(Fn)≥Hq,tμ,0(Fn)≥a2Hq,tμ(Fn). |
Now, since a>1 and Hq,tμ(Fn)≤Hq,tμ(E)<∞, we have Hq,tμ(Fn)=0. Finally, since Fn↗F, this implies that Hq,tμ(F)=0 and therefore, by Lemma 3.3 we have Hq,tμ(F)=0.
Next, we consider the set G, we will prove that
Hq,tμ(G)≤a4Hq,tμ(E). | (3.3) |
Since a−4<a−3, the set
β={(x,r):x∈G,Θ(B(x,r))μ(B(x,r))qν(B(x,r))t>a−4} |
is a fine cover of G. Let π⊂β be a packing, then
∑(x,r)∈πμ(B(x,r))qν(B(x,r))t≤a4∑(x,r)∈πΘ(B(x,r))=a4Θ(⋃(x,r)∈πB(x,r))=a4Hq,tμ(⋃(x,r)∈πB(x,r)∩E)≤a4Hq,tμ(E). |
Since this is true for all packing π, we conclude that Hq,tβ,μ(G)≤a4Hq,tμ(E), which implies (3.3).
Finally, we have
Hq,tμ(E)≤Hq,tμ(F)+Hq,tμ(G)≤0+a4Hq,tμ(E). |
Taking the infimum over all countable a>1 to obtain Hq,tμ(E)≤Hq,tμ(E).
Identifying the generalized packing (or weak-packing) measure with the full variation does not require any assumptions (such as doubling condition or Vitali property) but to get the equality Hq,tμ=Hq,tμ, extra assumption is needed.
Theorem 3.5. Let q,t∈R and μ,ν∈P(X). Then for all Borel sets E⊆X, we have
1. Wq,t∗,μ(E)=Wq,tμ(E)andPq,t∗,μ(E)=Pq,tμ(E).
2. If μ, ν∈P0(X) then Hq,tμ(E)=Hq,tμ(E).
Proof.
1. We will only prove the first equality and the other is similar. Let E⊆X and δ>0. Then, the constant function Δ(x)=δ is a gauge for E. Therefore,
Wq,tμ,0(E)=infδ>0Wq,tμ,δ(E)≥Wq,t∗,μ(E). |
If E=⋃nEn then, since Wq,t∗,μ is an outer measure, we have
Wq,t∗,μ(E)≤∞∑n=1Wq,t∗,μ(En)≤∞∑n=1Wq,tμ,0(En). |
Since, this is true for all countable covers of E, we get
Wq,tμ(E)≥Wq,t∗,μ(E). |
Now we will prove Wq,t∗,μ(E)≥Wq,tμ(E). Let Δ be a gauge on a set E and consider, for each positive integer n, the set
En={x∈E;Δ(x)≥1n}. |
For each n,
Wq,tΔ,μ(E)≥Wq,tΔ,μ(En)≥Wq,tμ,1/n(En)≥Wq,tμ,0(En)≥Wq,tμ(En). |
Since En↗E and Wq,tμ is regular, then, by taking the limit as n→∞, we get Wq,tΔ,μ(E)≥Wq,tμ(E). This is true for all gauges Δ, so Wq,t∗,μ(E)≥Wq,tμ(E).
2. By using Proposition 3.4, it suffices to prove Hq,tμ(E)≥Hq,tμ(E). We may clearly assume that Hq,tμ(E)<∞. Let β be a fine cover of E such that Hq,tβ,μ(E)<∞. Let δ>0, then
β1={(x,r)∈β:r<δ/3} |
is a fine cover of E. Therefore, using Lemma 3.1, we can find a packing {(xn,rn)}⊆β such that
E⊆n⋃i=1¯B(xi,ri)∪∞⋃i=n+1¯B(xi,3ri). |
Note that lim supnrn>0 is impossible, since
∑iμ(B(xi,ri))qν(B(xi,ri))t≤Hq,tβ,μ(E)<∞. |
Now, since the measures μ and ν are right-continuous at each ri, we let ξ>1, and choose r∗i>ri so that r∗i<δ/3 and
∑iμ(B(xi,r∗i))qν(B(xi,r∗i))t<ξ∑iμ(B(xi,ri))qν(B(xi,ri))t. |
Thus we get open covers
E⊆n⋃i=1B(xi,r∗i)∪∞⋃i=n+1B(xi,3r∗i). | (3.4) |
Then there exists a constants C1 and C2 such that
∑iμ(B(xi,3r∗i))qν(B(xi,3r∗i))t≤{C1C2∑iμ(B(xi,r∗i))qν(B(xi,r∗i))t;q,t>0andμ,ν∈P0(X)∑iμ(B(xi,r∗i))qν(B(xi,r∗i))t;q,t≤0.C2∑iμ(B(x,r∗i))qν(B(xi,r∗i))t;q≤0,t>0andν∈P0(X)C1∑iμ(B(x,r∗i))qν(B(xi,r∗i))t;q>0,t≤0andμ∈P0(X). |
Thus, we have ∑iμ(B(xi,3r∗i))qν(B(xi,3r∗i))t<∞ and, by using (3.4), we get
Hq,tμ,δ(E)≤n∑i=1μ(B(xi,r∗i))qν(B(xi,r∗i))t+∞∑i=n+1μ(B(xi,3r∗i)qν(B(x,3r∗i))t. |
Then, for ϵ>0, we can choose n big enough so that we have
Hq,tμ,δ(E)≤n∑i=1μ(B(xi,r∗i))qν(B(xi,r∗i))t+ϵ |
and then
Hq,tμ,δ(E)≤ϵ+∞∑i=1μ(B(xi,r∗i))qν(B(xi,r∗i))t≤ϵ+ξHq,tβ,μ(E). |
Let ξ↓1, δ↓0 and ϵ→0 to get Hq,tμ,0(E)≤Hq,tβ,μ(E). Now, by take the infimum over all fine cover β we get Hq,tμ,0(E)≤Hq,tμ(E). Take the supremum of this over all subsets to obtain the desire result.
In Euclidean space Rd, using the definition, there exists a constant ξ such that Hq,tμ≤ξPq,tμ. Moreover, we have Hq,tμ≤Pq,tμ provide that μ∈P0(Rd) [7,16]. See also for q=0, in Euclidean space [56,Lemma 3.3] or in general metric space [17,Theorem 3.11]. As an applications of Theorem 3.5, we will establish the following results.
Theorem 3.6. Let μ,ν∈P(X) and q,t∈R then Hq,tμ≤Pq,tμ. In particular if μ,ν∈P0(X) then, for all Borel sets E⊆X, we have
Hq,tμ(E)≤Pq,tμ(E). |
Proof. According to Theorem 3.5 we will prove Hq,tμ(E)≤Pq,t∗,μ(E) for all set E⊆X. We consider a gauge function Δ on E and β={(x,r);r<Δ(x)}. β is a fine cover of E then, for any packing π⊆β, we have
∑(x,r)∈πμ(B(x,r))qν(B(x,r))t≤Pq,tΔ,μ(E). |
Therefore, by taking the supremum on π, we get Hq,tμ(E)≤Hq,tβ,μ(E)≤Pq,tΔ,μ(E). Take the infinmum on Δ to get the desire result.
In the following, we establish a new version of the density theorem with respect to the generalized packing and weak-packing measures.
Theorem 3.7. Let (X,ρ) be a metric space, q,t∈R, μ,ν,Θ∈P(X), and E be a Borel subset of suppμ∩suppν.
1. We have
Pq,tμ(E)infx∈ED_qμ(x,Θ)≤Θ(E), | (3.5) |
where we take the lefthand side to be 0 if one of the factors is zero.
2. If Θ has the weak-Vitali property, then
Θ(E)≤Wq,tμ(E)supx∈ED_q,tμ(x,Θ), | (3.6) |
where we take the righthand side to be ∞ if one of the factors is ∞.
3. Assume that μ and ν∈P0(X), then there exists a constant C>0 such that
Θ(E)≤CPq,tμ(E)supx∈ED_q,tμ(x,Θ), | (3.7) |
where we take the righthand side to be ∞ if one of the factors is ∞.
Proof.
1. We begin with the proof of (3.5). Assume that infx∈ED_q,tμ(x,Θ)>0. Choose γ such that 0<γ<D_q,tμ(x,Θ) for all x∈E. Let ε>0 be given. Then there is an open set V such that E⊆V and Θ(V)<Θ(E)+ε. For x∈E, let Δ(x)>0 be so small such that
Θ(B(x,r))μ(B(x,r))qν(B(x,r))t>γ |
for all r<Δ(x) and Δ(x)<dis(x,X∖V). Then Δ is a gauge for E. Now, consider π to be a Δ-fine packing of E. Then ⋃(x,r)∈πB(x,r) is contained in V and
∑(x,r)∈πμ(B(x,r))qν(B(x,r))t<1γ∑πΘ(B(x,r))≤1γΘ(V). |
This shows that
Pq,tμ(E)≤Pq,tΔ,μ(E)≤1γΘ(V)≤1γ(Θ(E)+ε). |
Let ε→0 to obtain γPq,tμ(E)≤Θ(E). Since γ is arbitrarily close to D_q,tμ(x,Θ) we get the desired result.
2. Suppose that ν has the weak-Vitali property and we will prove (3.6). For this, we may assume that supx∈ED_q,tμ(x,Θ)<∞. Let Δ be a gauge on E and γ<∞ such that D_q,tμ(x,Θ)<γ for all x∈E. Then
β={(x,r);x∈E,r<Δ(x)andΘ(B(x,r))μ(B(x,r))qν(B(x,r))t≤γ} |
is a fine cover of E. By the weak-Vitali property, there is a weak-packing π⊆β of E such that
Θ(E∖⋃(x,r)∈πB(x,r))=0. |
Therefore,
Θ(E)=Θ(E⋂⋃(x,r)∈πB(x,r))≤∑(x,r)∈πΘ(B(x,r))≤γ∑(x,r)∈πμ(B(x,r))qν(B(x,r))t. |
Thus Θ(E)≤γWq,tΔ,μ(E) and, by arbitrariness of Δ, we obtain Θ(E)≤γWq,tμ(E). Since γ is arbitrarily close to D_q,tμ(x,Θ) we get the desired result.
3. Since μ and ν∈P0(X), then, for small r, there exists two positive constants C1 and C2 such that
μ(B(x,3r))≤C1μ(B(x,r)) andν(B(x,3r))≤C2ν(B(x,r)). |
Assume that supx∈ED_q,tμ(x,Θ)<∞. Let Δ be a gauge on E and γ<∞ such that D_q,tμ(x,Θ)<γ for all x∈E. We must show that, there exists a constant C such that Θ(E)≤γCPq,tμ(E), for this, we must show that Θ(E)≤γCPq,tΔ,μ(E). We assume that Pq,tΔ,μ(E)<∞ and we consider the set
β={(x,r);x∈E,r<Δ(x)andΘ(B(x,3r))μ(B(x,3r))qν(B(x,3r))t≤γ}. |
Since β is a fine cover of E and Pq,tΔ,μ(E)<∞, it follows from Lemma 3.1 that there exists a packing {(xi,ri)}i⊆β such that
E⊆∞⋃i=1B(xi,3ri). |
We remark that lim supnrn>0 is impossible, since ∑iμ(B(xi,ri))qν(B(xi,ri))t<∞. Hence, if μ,ν∈P0(X) then
Θ(E)≤∑iΘ(B(xi,3ri))≤γ∑iμ(B(xi,3ri))qν(B(xi,3ri))t≤γ{C1C2∑iμ(B(xi,ri))qν(B(xi,ri))t;q,t>0andμ,ν∈P0(X)∑iμ(B(xi,ri))qν(B(xi,ri))t;q,t≤0.C2∑iμ(B(xi,ri))qν(B(xi,ri))t;q≤0,t>0andν∈P0(X)C1∑iμ(B(xi,ri))qν(B(xi,ri))t;q>0,t≤0andμ∈P0(X). |
Take C=max(1,C1,C2,C1C2) to get
Θ(E)≤γC∑iμ(B(xi,ri))qμ(B(xi,ri))t. |
Thus Θ(E)≤γCPq,tΔ,μ(E). Since γ is arbitrarily close to D_q,tμ(x,Θ) we get the desired result.
Remark 3.8.
1. If μ,ν∈P0(X) then there exists a constant γ>0 such that
Wq,tμ(E)infx∈ED_q,tμ(x,Θ)≤γΘ(E), | (3.8) |
where we take the left hand side in (3.8) to be 0 if one of the factors is zero.
2. Similarly, if Θ has the strong-Vitali property, then
Θ(E)≤Pq,tμ(E)supx∈ED_q,tμ(x,Θ), | (3.9) |
where we take the righthand side in (3.9) to be ∞ if one of the factors is ∞.
Now, using the generalized Hausdorff measure in terms of variation measure, we give a new version of the density theorem.
Theorem 3.9. Let q,t∈R, μ,ν∈P(X) and E be a Borel subset of suppμ∩suppν.
1. Then
Hq,tμ(E)infx∈E¯Dq,tμ(x,Θ)≤Θ(E). | (3.10) |
2. Assume that Θ has the strong Vitali property. Then
Θ(E)≤Hq,tμ(E)supx∈E¯Dq,tμ(x,Θ). | (3.11) |
except when the product is 0 times ∞.
3. Assume that μ,ν∈P0(X). Then
Θ(E)≤Hq,tμ(E)supx∈E¯Dq,tμ(x,Θ). |
except when the product is 0 times ∞.
Proof.
1. Let a:=infx∈E¯Dq,tμ(x,Θ). If a=0 there is nothing to prove, so we may assume that a>0. Let γ be a constant and V be an open set such that infx∈E¯Dq,tμ(x,Θ)>γ>0 and E⊆V. It follows that
β={(x,r),x∈E,;Θ(B(x,r))μ(B(x,r))qν(B(x,r))t>γ,0<r<dist(x,X∖V)} |
is a fine cover of E. Therefore, for any packing π⊆β we have
∑(x,r)∈πμ(B(x,r))qν(B(x,r))t<1γ∑(x,r)∈πΘ(B(x,r))=1γΘ(⋃(x,r)∈πB(x,r))≤1γΘ(V). |
Take the supremum on π to obtain
Hq,tμ(E)≤Hq,tβ,μ(E)≤1γΘ(V). |
Finally, since γ is arbitrarily less then a, we get the desire result by taking the infimum on V. Clearly we may assume that supx∈E¯Dq,tμ(x,Θ)<∞. Let γ be a constant such that supx∈E¯Dq,tμ(x,Θ)<γ. For a fine cover β of E we set
β1={(x,r)∈β;Θ(B(x,r))μ(B(x,r))qν(B(x,r))t<γ} |
is also a fine cover of E. Therefore, under our assumption, there exists a packing π⊆β1 such that Θ(E∖⋃πB(x,r))=0. Thus,
Hq,tβ,μ(E)≥∑(x,r)∈πμ(B(x,r))qν(B(x,r))t>1γ∑(x,r)∈πΘ(B(x,r))≥1γΘ(⋃(x,r)∈πB(x,r))≥1γΘ(E). |
This holds for all β so Θ(E)≤γHq,tμ. Since, γ is arbitrarily close to supx∈E¯Dq,tμ(x,Θ), we get the desire result.
3. We only have to prove
Θ(E)≤Hq,tμ(E)supx∈E¯Dq,tμ(x,Θ). |
Indeed, by Theorem 3.5, we have in this case Hq,tμ(E)=Hq,tμ(E). Clearly we may assume that ¯Dq,tμ(x,Θ)<∞, for all x∈E. let γ be a constant such that supx∈E¯Dq,tμ(x,Θ)<γ. For each integer n∈N, we set
En={x∈E;Θ(B(x,r))μ(B(x,r))qν(B(x,r))t<γfor all r<1n}. |
We consider, for each n, a δ-cover βn of En, where δ<1n. Therefore,
∑(x,r)∈βnμ(B(x,r))qν(B(x,r))t≥1γ∑(x,r)∈βnΘ(B(x,r))≥1γΘ(⋃(x,r)∈βnB(x,r))≥1γΘ(En) |
and so Θ(En)≤γHq,tμ,δ(En). Therefore
Θ(En)≤γHq,tμ,0(En)≤γHq,tμ(E). |
Since En↗E, then letting n→∞ we get Θ(E)≤γHq,tμ(E). It follows from γ is arbitrarily large that
Θ(E)≤Hq,tμ(E)supx∈E¯Dq,tμ(x,Θ). |
and then we get the desire result.
In this section, we concentrate on the properties of the generalized fractal measures on a class of Moran fractal set. In particular, we give sufficient condition so that these measures are equivalent on these sets satisfying the strong separation condition. We will start by defining the Moran sets. Let {nk}k and {Φk}k≥1 be respectively two sequences of positive integers and positive vectors such that
Φk=(ck1,ck2,…,cknk),nk∑j=1ckj≤1,k∈N. | (4.1) |
For any m,k∈N, such that m≤k, let
Dm,k={(im,im+1,…,ik)|1≤ij≤nj,m≤j≤k} |
and
Dk=D1,k={(i1,i2,…,ik)|1≤ij≤nj,1≤j≤k}. |
We also set D0=∅ and D=∪k≥0Dk, Considering σ=(i1,i2,…,ik)∈Dk, τ=(jk+1,jk+2,…,jm)∈Dk+1,m, we set
σ∗τ=(i1,i2,…,ik,jk+1,jk+2,…,jm). |
Definition 5. [2,18] Let X be a complete metric space and I⊂X a compact set with no empty interior (for convenience, we assume that the diameter of I is 1). The collection F={Iσ|σ∈D} of subsets of I is called having Moran structure if
1. for any (i1,i2,…,ik)∈Dk, Ii1i2…ik is similar to I. That is, there exists a similar transformation
Si1i2…ik:X→XI↦Ii1i2…ik, |
where we assume that I∅=I.
2. For all k≥1, (i1,i2,…,ik−1)∈Dk−1, Ii1i2…ik(ik∈{1,2,…,nk}) are subsets of Ii1i2…ik−1 and
I∘i1i2…ik−1,ik∩I∘i1i2…ik−1,i′k=∅,1≤ik<i′k≤nk, |
where I∘ denotes the interior of I.
3. For all k≥1 and 1≤j≤nk, taking (i1,i2,…,ik−1,j)∈Dk, we have
0<ckj=ci1i2…ik−1j=|Ii1i2…ik−1j||Ii1i2…ik−1|<1,k≥2, |
where |I| denotes the diameter of I.
Suppose that F is a collection of subsets of I having Moran structure. We call E=⋂k≥1⋃σ∈DkIσ, a Moran set determined by F, and called Fk={Iσ,σ∈Dk} the k-order fundamental sets of E. I is called the original set of E. We assume limk→+∞maxσ∈Dk|Iσ|=0. For all w=(i1,i2,…ik,…)∈D, we use the abbreviation w|k for the first k elements of the sequence,
Ik(w)=Iw|k=Ii1i2…ik,andcn(w)=ci1i2…in. | (4.2) |
We assume that E witch satisfy the strong separation condition (SSC): Let Iσ∗1,Iσ∗2,…,Iσ∗nk+1 be the (k+1)-order fundamental subsets of Iσ∈F. We say that Iσ satisfies the (SSC) if dist(Iσ∗i,Iσ∗j)≥δk|Iσ|, for all i≠j, where (δk)k is a sequence of positive real numbers, such that 0<δ=infkδk<1.
If ck,1=ck,2=…,=ck,nk=ck for all k≥1 then E is said to be homogeneous Moran set. Let x∈E and Iσ(x) the unique fundamental subset of level k containing x (σ∈Dk). It is clear that |Iσ(x)|=∏kj=1cj which implies that Iσ(x)⊆B(x,r), where ∏kj=1cj<r≤∏k−1j=1cj. In the other hand, let
N(x,r)={σ∈Dk−1,Iσ∩B(x,r)≠∅}. |
Clearly N(x,r)≤2 and
⋃σ∈N(x,r)I∘σ(x)⊂B(x,r+c1⋯ck−1)⊂B(x,2c1⋯ck−1). | (4.3) |
Definition 6. We say that two Borel measures μ and ν are equivalent and we write μ∼ν if for any Borel set A, we have μ(A)=0⇔ν(A)=0.
Through this section, we consider E⊂I to be a Moran set satisfying (SSC), μ and ν be two Borel probability measures on X and Θ∈P(X) such that suppΘ⊂E. For w∈D, we set
D_q,tμ(w,Θ):=lim infn→+∞Θ(In(w))μ(In(w))qν(In(w))tand¯Dq,tμ(w,Θ):=lim supn→+∞Θ(In(w))μ(In(w))qν(In(w))t. |
Proposition 4.1. Assume that μ,ν∈P0(X) or Θ has the strong-Vitali property.
1. Suppose that there exists α, such that
D_q,tμ(w,Θ)={0ift<α,∞ift>α,foranyw∈D, |
then Dimqμ(E)=α=Dimqμ(Θ).
2. Suppose that for all w∈D we have 0<D_q,αμ(w,Θ)<∞, then,
Θ⌞ |
where \Theta_\llcorner E designates the measure \Theta restricted to E .
Proof. The proof can be deduced from (3.9), Theorem 3.7 and [2,Theorem 5].
Remark 4.2.
1. If \mathscr X is the Euclidean space \mathbb R^d , then every finite Borel measure has the strong-Vitali property and then Proposition 4.3 is Theorem 5 in [2].
2. It follows from (2.3), if \mu, \nu\in {\mathscr P}_0(\mathscr X) , then 0 < \underline{D}_{ {\boldsymbol{\mu}}}^{q, \alpha}(w, \Theta) < \infty which implies that \theta\llcorner E \sim {\mathscr W}^{q, \alpha}_{ {\boldsymbol{\mu}}} \llcorner E .
Proposition 4.3. Assume that \mu, \nu \in {\mathscr P}_0(\mathscr X) or \Theta has the strong-Vitali property.
1. Suppose that there exists \alpha , such that
\begin{array}{l} \overline{D}_{ {\boldsymbol{\mu}}}^{q,t}(w, \Theta) = \left\{ \begin{array}{lll} 0 & if & t < \alpha, \\ \infty & if & t > \alpha, \end{array}\right. \qquad for \;any\; w\in D, \end{array} |
then \dim_{ {\boldsymbol{\mu}}}^q(E) = \alpha = \dim_{ {\boldsymbol{\mu}}}^q(\Theta) .
2. Suppose that for all w\in D we have 0 < \overline{D}_{ {\boldsymbol{\mu}}}^{q, \alpha}(w, \Theta) < \infty , then
\Theta\llcorner E \sim {\mathit H}^{q,\alpha}_{ {\boldsymbol{\mu}}} \llcorner E. |
Proof. The proof can be deduced from Theorem 3.9 and [2,Theorem 6].
Remark 4.4. It follows from Theorem (3.5), if \mu, \nu \in {\mathscr P}_0(\mathscr X) , then 0 < \overline{D}_{ {\boldsymbol{\mu}}}^{q, \alpha}(w, \Theta) < \infty which implies that \Theta\llcorner E \sim {\mathscr H}^{q, \alpha}_{ {\boldsymbol{\mu}}} \llcorner E .
Example 4.5. We set, for all k\ge 1 , the number s_k which satisfies
\begin{equation} \prod\limits_{i = 1}^k \sum\limits_{j = 1}^{n_i} c_{i j}^{s_k} = 1 \end{equation} | (4.4) |
and write
s_* = \liminf\limits_{k\to \infty} s_k\quad {\text{and}}\quad s^* = \limsup\limits_{k\to \infty} s_k. |
Assume that c_*: = \inf_{k, j} \{c_{kj}\} > 0 . Now, consider \mathscr X = [0, 1] and define a measure \Theta on \mathscr X such that \Theta(\mathscr X) = 1 and
\Theta(I_{\sigma*i}) = \frac{c_{ki}^s}{\sum\limits_{j = 1}^{n_k} c_{kj}^s} \Theta(I_\sigma), \quad 1\le i\le n_k \;\; {\text{and}}\;\; \sigma\in D_k, |
where s: = \lim_{k\to \infty } s_k\in (0, 1) . It follows that
\Theta(I_\sigma): = \frac{c_{1 \sigma_1}^s c_{2 \sigma_2}^s \cdots c_{k \sigma_k}^s}{\prod\limits_{i = 1}^k\sum\limits_{j = 1}^{n_i} c_{ij}^s} = \frac{|I_\sigma|^s}{\prod\limits_{i = 1}^k\sum\limits_{j = 1}^{n_i} c_{ij}^s}. |
It follows from (4.4) that
\begin{eqnarray*} \left| \log \prod\limits_{i = 1}^k\sum\limits_{j = 1}^{n_i} c_{ij}^s \right|& = & \left| \log \prod\limits_{i = 1}^k\sum\limits_{j = 1}^{n_i} c_{ij}^s - \log \prod\limits_{i = 1}^k\sum\limits_{j = 1}^{n_i} c_{ij}^{s_k} \right| \le \sum\limits_{i = 1}^k\left| \log \sum\limits_{j = 1}^{n_i} c_{ij}^s - \log \sum\limits_{j = 1}^{n_i} c_{ij}^{s_k} \right|\\ &\le& \sum\limits_{i = 1}^{k}|\log c_*| \, | s_k-s| = k |\log c_*| \, | s_k-s|. \end{eqnarray*} |
Hence, using the fact that |I_\sigma| \le k|\log (1-c_*) and (4.1), we obtain
\frac{\log \prod\limits_{i = 1}^k\sum\limits_{j = 1}^{n_i} c_{ij}^s}{|\log I_\sigma|^s}\le \frac{k |\log c_*| \, | s_k-s|}{k|\log (1-c_*)|} = \frac{ |\log c_*|}{|\log (1-c_*)|} | s_k-s| \longrightarrow 0. |
Therefore,
\begin{eqnarray*} \lim\limits_{k\to \infty}\frac{\log \Theta(I_\sigma) }{\log |I_\sigma |} = s \end{eqnarray*} |
uniformly on \sigma . As a consequence there exists a non-increasing function \xi: \mathbb N\longrightarrow \mathbb R^* such that \lim_{k\to \infty}\xi(k) = 0 and for any basis interval I_\sigma , we have
| I_\sigma|^{s+\xi(|\sigma|)}\le \Theta(I_\sigma) \le | I_\sigma|^{s-\xi(|\sigma|)}. |
Let \mu = \nu be the Lebesgue measure on [0, 1] then, for all w\in D , we have
\substack{{\lim} \\ {n\to +\infty}} \frac{\Theta\big(I_\sigma\big)}{\mu\big(I_\sigma\big)^q \nu\big(I_\sigma\big)^t} = \substack{{\lim} \\ {n\to +\infty}} \frac{\Theta(I_\sigma)}{|I_\sigma|^{q+t}} = \begin{cases} 0 & {\text{ if}}\;\; t < s+q, \\ \infty &{\text{ if}}\;\; t > s+q. \end{cases} |
In particular, for q = 0 , the classical Hausdorff and packing measures {\mathscr H}^{\alpha} and {\mathscr P}^{\alpha} satisfy
\Theta\llcorner E \sim {\mathscr H}^{s}\llcorner E \sim {\mathscr P}^{s} \llcorner E. |
In this section, we will study the extensions of the following product inequalities for the Hausdorff measure { {\mathscr H}}^t and the packing measure {\mathscr P}^t in Euclidean space. Fix s, t\ge 0 and E, F be two Borel sets in \mathbb R^d , then there exists a number c > 0 such that
\begin{align} {\mathscr H}^{s}(E) {\mathscr H}^{t }(F) & \le c {\mathscr H}^{s+t }(E \times F), \end{align} | (5.1) |
\begin{align} &\\ {\mathscr P}^{s+t}(E \times F) &\le c {\mathscr P}^{s}(E) {\mathscr P}^{ t}(F) . \end{align} | (5.2) |
Inequality (5.1) was shown in [14] under certain conditions and later in [45] without any restrictions. Inequality (5.2) is proved in [35] (see also [1,4,29,62] for more investigation of product inequalities for fractal measure). Using the density approach, we will study the generalized Hausdorff and packing measures of Cartesian product sets. The disadvantage of this approach includes the inability to handle sets of measure \infty . Moreover, we will give a necessary and sufficient condition to obtain strong regular and very strong regular sets. Recall that if we let E\subseteq \mathscr X be a Borel set, we say that E is strongly regular if { {\mathit H}}_{ {\boldsymbol{\mu}}}^{q, t}(E) = { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t}(E) \in (0, \infty) and very strongly regular if { {\mathit H}}_{ {\boldsymbol{\mu}}}^{q, t}(E) = { \mathscr W}_{ {\boldsymbol{\mu}}}^{q, t}(E) \in (0, \infty) . Finally, we give an application of Theorem 3.5.
Let (\mathscr X, \rho) and (\mathscr Y, \rho') be two separable metric spaces. Assume that \mathscr X\times \mathscr Y is endowed with a metric which is the Cartesian product of the metrics in \mathscr X and \mathscr Y, so that for all \varepsilon > 0, x\in \mathscr X and y\in \mathscr Y, we have
B((x,y),\varepsilon) = B(x,\varepsilon) \times B(y,\varepsilon). |
Before giving our first main result in this section, we will start with two useful corollaries of Theorem 3.7.
Corollary 5.1. Let (\mathscr X, \rho) be a metric space, q, t\in \mathbb R, \mu, \nu\in{\mathscr P}(\mathscr X) and E be a Borel subset of supp\, \mu\cap supp\, \nu .
1. If there exists \Theta\in \mathscr {P}(\mathscr X) such that \inf\limits_{x\in E} \underline{D}^{q, t}_{ {\boldsymbol{\mu}}}(x, \Theta) = \gamma > 0 then
{\mathscr P}^{q, t}_{ {\boldsymbol{\mu}}}(E) \le \Theta(E)/\gamma. |
2. If there exists \Theta\in \mathscr {P}(\mathscr X) such that \sup\limits_{x\in E} \underline{D}^{q, t}_{ {\boldsymbol{\mu}}}(x, \Theta) = \gamma < +\infty and has the weak-Vitali property then
\mathscr W^{q, t}_{ {\boldsymbol{\mu}}}(E) \ge \Theta(E)/\gamma. |
3. Assume that \mu, \nu\in {\mathscr P}_0(\mathscr X) . If there exists \Theta\in \mathscr {P}(\mathscr X) such that \sup_{x\in E} \underline{D}^{q, t}_{ {\boldsymbol{\mu}}}(x, \Theta) = \gamma < +\infty then
{\mathscr P}^{q, t}_{ {\boldsymbol{\mu}}}(E) \ge \Theta(E)/\gamma C. |
For a Borel set E\subseteq \mathscr X we denote by {{ {\mathscr P}}^{q, t}_{ {\boldsymbol{\mu}}}}_{\llcorner E} the measure { {\mathscr P}}^{q, t}_{ {\boldsymbol{\mu}}} restricted to E . We can deduce also the following result.
Corollary 5.2. Let (\mathscr X, \rho) be a separable metric space, q, t\in \mathbb R, \mu, \nu\in{\mathscr P}(\mathscr X) and E be a Borel subset of supp\, \mu\cap supp\, \nu such that {\mathscr P}^{q, t}_{ {\boldsymbol{\mu}}}(E) < \infty . Let \Theta = { {\mathscr P}^{q, t}_{ {\boldsymbol{\mu}}}}_{\llcorner E} .
1. For { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t} -a.a. x\in E , we have \underline{D}^{q, t}_{ {\boldsymbol{\mu}}}(x, \Theta) \leq 1 .
2. If \Theta has the strong-Vitali property, then
\underline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta) = 1, \qquad {\mathscr P}^{q, t}_{ {\boldsymbol{\mu}}}\mathit{{\text{-a.a. on}}} \; E. |
3. Assume that {\boldsymbol{\mu}}\in {\mathscr P}_0(\mathscr X) , then
1/C \le \underline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta) \le 1, \quad {\mathscr P}^{q, t}_{ {\boldsymbol{\mu}}}-\mathit{{\text{a.a. on}}} E, |
where C is the constant defined in (3.7).
Proof. 1. Put the set F = \Big\{ x\in E; \; \; \underline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta) > 1\Big\}, and for m\in\mathbb{N}^*
F_m = \left\{ x\in E;\;\; \underline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta) > 1+ \frac1m\right\}. |
Therefore \inf\limits_{x\in F_m} \underline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta)\ge 1+\frac1m . We deduce from (3.5) that
\left(1+ \frac1m\right){ {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t}(F_m)\leq \Theta(F_m) = { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t}(F_m). |
This implies that { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t}(F_m) = 0 . Since F = \bigcup_m F_m , we obtain { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t}(F) = 0 , i.e.
\begin{equation} \underline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta)\leq1 \quad {\text{for}} \quad { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t}{\text{-a.a.}}\; x\in E. \end{equation} | (5.3) |
3. Now consider the set \widetilde F = \Big\{ x\in E; \; \; \underline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta) < 1\Big\}, and for m\in\mathbb{N}^*
\widetilde F_m = \left\{ x\in E;\;\; \underline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta) < 1- \frac1m\right\}. |
Using (3.9), we clearly have
\Theta (\widetilde F_m) = { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t}(\widetilde F_m) \le \left(1-\frac1m\right){ {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t}(\widetilde F_m). |
This implies that { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t}(\widetilde F_m) = 0 . Since F = \bigcup_m \widetilde F_m , we obtain { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t}(F) = 0 , i.e.
\begin{eqnarray} \underline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta) \geq1 \quad {\text{for}} \quad { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t} {\text{-a.a.}}\; x\in E. \end{eqnarray} | (5.4) |
The statement in (2) now follows from (5.3) and (5.4).
3. The proof of this statement is very similar to the statement (2) when we use the set
\widetilde F = \Big\{ x\in E;\;\; \underline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta) < 1/C\Big\} |
and the inequality (3.7) instead of (3.9).
For {\boldsymbol{\mu}} = (\mu_1, \nu_1) \in {\mathscr P}(\mathscr X)\times{\mathscr P}_0(\mathscr X) , {\boldsymbol{\nu}} = (\mu_2, \nu_2) \in {\mathscr P}_0(\mathscr Y)\times{\mathscr P}(\mathscr Y) , we define the product of measures {\boldsymbol{\mu}}\times {\boldsymbol{\nu}} as follows
{\boldsymbol{\mu}}\times {\boldsymbol{\nu}} = (\mu_1\times\mu_2, \nu_1\times\nu_2). |
Our main result in this section is the following.
Theorem 5.3. Let {\boldsymbol{\mu}} = (\mu_1, \nu_1) \in {\mathscr P}_0(\mathscr X)\times{\mathscr P}_0(\mathscr X) , {\boldsymbol{\nu}} = (\mu_2, \nu_2) \in {\mathscr P}_0(\mathscr Y)\times{\mathscr P}_0(\mathscr Y) , q, t\in \mathbb R . Then, there exists a constant M such that
\begin{equation} {\mathscr P}^{q,t }_{ {\boldsymbol{\mu}}\times {\boldsymbol{\nu}}}(E \times F) \le M {\mathscr P}^{q,t}_{ {\boldsymbol{\mu}}}(E) \; {\mathscr P}^{q, t}_{ {\boldsymbol{\nu}}}(F) \end{equation} | (5.5) |
and
\begin{equation} \mathscr W^{q,t }_{ {\boldsymbol{\mu}}\times {\boldsymbol{\nu}}}(E \times F) \le M \mathscr W^{q,t}_{ {\boldsymbol{\mu}}}(E) \; \mathscr W^{q,t}_{ {\boldsymbol{\nu}}}(F)\\ \end{equation} | (5.6) |
for all Borel E\subseteq \mathscr X and F\subseteq \mathscr Y provided it is true for the "nullset" cases when one of the factors on the right is zero, i.e, \mathscr W^{q, t}_{ {\boldsymbol{\nu}}}(F) = 0 or \mathscr W^{q, t}_{ {\boldsymbol{\mu}}}(E) = 0 .
Proof. We will only prove the first inequality, the other inequality is similar. If {\mathscr P}^{q, t}_{ {\boldsymbol{\mu}}}(E) = \infty or {\mathscr P}^{q, t}_{ {\boldsymbol{\nu}}}(F) = \infty there is noting to prove, so assume they are both finite. Let \Theta_1 be the restriction of {\mathscr P}^{q, t}_{ {\boldsymbol{\mu}}} to E and \Theta_2 be the restriction of {\mathscr P}^{q, t}_{ {\boldsymbol{\nu}}} to F. Using Corollary 5.2, there exists C_1 > 0 and C_2 > such that \Theta_1(E) = \Theta_1(\widetilde E) and \Theta_2(F) = \Theta_2(\widetilde F) , where
\widetilde E = \left\{ x\in E,\;\; \;\; {\underline D}^{q, t}_{ {\boldsymbol{\mu}}}(x, \Theta_1) \ge 1/C_1 \right\} |
and
\widetilde F = \left\{ x\in F,\;\; \;\; {\underline D}^{q, t}_{ {\boldsymbol{\nu}}} (x, \Theta_2) \ge 1 /C_2 \right\}. |
Now, the product measure \Theta_1 \times \Theta_2 \in {\mathscr P}_0(\mathscr X \times \mathscr Y) . For (x, y) \in \widetilde E \times \widetilde F , we have
\begin{eqnarray*} &&{\underline D}_{ {\boldsymbol{\mu}}\times {\boldsymbol{\nu}}}^{q, t} \Big( (x,y), \Theta_1 \times \Theta_2\Big)\\ & = & \liminf\limits_{r\to 0} \left[\; \frac{\Theta_1(B(x,r))}{\mu_1(B(x,r))^q \; \nu_1(B(x,r))^t} \frac{\Theta_2(B(y,r))}{\mu_2(B(y,r))^q \; \nu_2(B(y,r))^t} \right] \\ &\ge & {\underline D}^{q, t}_{ {\boldsymbol{\mu}}}(x, \Theta_1) \;\; {\underline D}^{q, t}_{ {\boldsymbol{\nu}}} (y, \Theta_2) \\ &\ge& 1/(C_1 C_2) > 0. \end{eqnarray*} |
Therefore, setting M = C_1 C_2 and by Corollary 5.1, we have
\begin{eqnarray*} {\mathscr P}^{q, t}_{ {\boldsymbol{\mu}}\times {\boldsymbol{\nu}}} \big( \widetilde E \times \widetilde F\big) &\le & M \Theta_1\times \Theta_2 \big( \widetilde E \times \widetilde F\big) = M \Theta_1 \big( \widetilde E\big) \Theta_2\big( \widetilde F\big) \\ & = & M \Theta_1(E) \Theta_2(F) = M {\mathscr P}^{q, t}_{ {\boldsymbol{\mu}}}(E) {\mathscr P}^{q, t}_{ {\boldsymbol{\nu}}}(F) . \end{eqnarray*} |
By the assumption for the nullset cases, we get the result with E\times F .
Before giving our second main result in this section, we will start with two useful corollaries of Theorem 3.9.
Corollary 5.4. Let \mu, \nu, \Theta\in{\mathscr P}(\mathscr X) and E\subset \mathscr X be a Borel set.
1. Assume that {\mathit H}_{ {\boldsymbol{\mu}}}^{q, t} (E) < \infty and there exists \Theta\in \mathscr {P}(\mathscr X) such that \inf\limits_{x\in E} \overline{D}^{q, t}_\mu(x, \Theta) = \gamma > 0 then
{\mathit H}^{q, t}_{ {\boldsymbol{\mu}}}(E) \le \Theta(E)/\gamma. |
2. If there exists \Theta\in \mathscr {P}(\mathscr X) such that \sup_{x\in E} \overline{D}^{q, t}_{ {\boldsymbol{\mu}}}(x, \Theta) = \gamma < \infty and \Theta has the strong Vitali property or if \mu and \nu\in {\mathscr P}_0(\mathscr X) , then
\begin{equation} {\mathit H}^{q, t}_{ {\boldsymbol{\mu}}}(E) \ge \Theta(E)/\gamma. \end{equation} | (5.7) |
Corollary 5.5. Let \mu, \nu \in {\mathscr P}(\mathscr X) , q, t \in \mathbb R and E be a Borel subset of supp\, \mu\cap supp\, \nu such that {\mathit H}^{q, t}_{ {\boldsymbol{\mu}}}(E) < \infty . Let \Theta = { {\mathit H}^{q, t}_{ {\boldsymbol{\mu}}}}_{\llcorner E} .
1. For { {\mathit H}}_{ {\boldsymbol{\mu}}}^{q, t} -a.a. x\in E , we have \overline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta) \leq 1 .
2. If \Theta has the strong Vitali property or if \mu and \nu\in {\mathscr P}_0(\mathscr X) then \overline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta) = 1 , {\mathit H}^{q, t}_{ {\boldsymbol{\mu}}} -a.a. on E .
Our second main result in this section is the following.
Theorem 5.6. Let {\boldsymbol{\mu}} = (\mu_1, \nu_1) \in {\mathscr P}_0(\mathscr X)\times{\mathscr P}_0(\mathscr X) , {\boldsymbol{\nu}} = (\mu_2, \nu_2) \in {\mathscr P}_0(\mathscr Y)\times{\mathscr P}_0(\mathscr Y) , q, t\in \mathbb R . For all Borel E\subseteq \mathscr X and F\subseteq \mathscr Y such that {\mathit H}^{q, t}_{ {\boldsymbol{\mu}}}(E) < \infty and {\mathit H}^{q, t}_{ {\boldsymbol{\nu}}}(F) < \infty we have
\begin{equation*} {\mathit H}^{q,t}_{ {\boldsymbol{\mu}}}(E) \; {\mathit H}^{q, t}_{ {\boldsymbol{\nu}}}(F) \le {\mathit H}^{q,t }_{ {\boldsymbol{\mu}}\times {\boldsymbol{\nu}}}(E \times F). \end{equation*} |
Proof. Let \Theta_1 be the restriction of {\mathit H}^{q, t}_{ {\boldsymbol{\mu}}} to E and \Theta_2 be the restriction of {\mathit H}^{q, t}_{ {\boldsymbol{\nu}}} to F. By using Corollary 5.5, we have \Theta_1(E) = \Theta_1(\widetilde E) and \Theta_2(F) = \Theta_2(\widetilde F) , where
\widetilde E = \left\{ x\in E,\;\; \;\; {\overline D}^{q, t}_{ {\boldsymbol{\mu}}}(x, \Theta_1) \le 1 \right\} |
and
\widetilde F = \left\{ x\in F,\;\; \;\; {\overline D}^{q, t}_{ {\boldsymbol{\nu}}} (x, \Theta_2) \le 1 \right\}. |
Now, the product measure \Theta_1 \times \Theta_2 \in {\mathscr P}(\mathscr X \times \mathscr Y) . For (x, y) \in \widetilde E \times \widetilde F , we have
\begin{eqnarray*} &&{\overline D}_{ {\boldsymbol{\mu}}\times {\boldsymbol{\nu}}}^{q, t} \Big( (x,y), \Theta_1 \times \Theta_2\Big)\\ & = & \limsup\limits_{r\to 0} \left[\frac{\Theta_1\big(B(x,r) \big)}{\mu_1\big(B(x,r) \big)^q \nu_1\big(B(x,r) \big)^t}\; \frac{\Theta_2\big(B(y,r)\big)}{\mu_2\big(B(y,r) \big)^q \nu_2\big(B(y,r) \big)^t} \right] \\ &\le & {\overline D}_{ {\boldsymbol{\mu}}}^{q, t } \big(x, \Theta_1 \big) \;\; {\overline D}_{ {\boldsymbol{\nu}}}^{q, t} \big(y, \Theta_2 \big) \le 1. \end{eqnarray*} |
Therefore, it follows from (5.7) that
\begin{eqnarray*} {\mathit H}^{q, t}_{ {\boldsymbol{\mu}}\times {\boldsymbol{\nu}}} \big( E \times F\big) & \ge& \Theta_1\times \Theta_2 \big( \widetilde E \times \widetilde F\big) = \Theta_1 \big( \widetilde E\big) \Theta_2\big( \widetilde F\big) \\ & = & \Theta_1(E) \Theta_2(F) = {\mathit H}^{q, t}_{ {\boldsymbol{\mu}}}(E) {\mathit H}^{q, t}_{ {\boldsymbol{\nu}}}(F) . \end{eqnarray*} |
As a direct consequence, we get the following result.
Corollary 5.7. Let {\boldsymbol{\mu}} = (\mu_1, \nu_1) \in {\mathscr P}_0(\mathscr X)\times{\mathscr P}_0(\mathscr X) , {\boldsymbol{\nu}} = (\mu_2, \nu_2) \in {\mathscr P}_0(\mathscr Y)\times{\mathscr P}_0(\mathscr Y) and q, t\in \mathbb R . For E\subseteq \mathscr X and F\subseteq \mathscr Y such that {\mathscr H}^{q, t}_{ {\boldsymbol{\mu}}}(E) < \infty and {\mathscr H}^{q, s}_{ {\boldsymbol{\nu}}}(F) < \infty we have
\begin{equation*} {\mathscr H}^{q,t}_{ {\boldsymbol{\mu}}}(E) \; {\mathscr H}^{q, t}_{ {\boldsymbol{\nu}}}(F) \le {\mathscr H}^{q,t }_{ {\boldsymbol{\mu}}\times {\boldsymbol{\nu}}}(E \times F). \end{equation*} |
In this section, we formulate a new version of regularity result developed in [5,15,17,21,22,50,56,58,59]. More precisely, we give a necessary and sufficient condition to get the equality { {\mathit H}}_{ {\boldsymbol{\mu}}}^{q, t}(E) = { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t}(E) . Such a set is called a strong regular. The set E will be called very strong regular if { {\mathit H}}_{ {\boldsymbol{\mu}}}^{q, t}(E) = { \mathscr W}_{ {\boldsymbol{\mu}}}^{q, t}(E) . In Theorem 5.9 we will characterize these sets.
Theorem 5.8. Let \mu, \nu\in {\mathscr P}(\mathscr X) and E be a Borel subset of supp\, \mu\cap supp\, \nu such that {\mathscr{P}}_{ {\boldsymbol{\mu}}}^{q, t}(E) < +\infty . Let \Theta_1 = { {\mathit H}^{q, t}_{ {\boldsymbol{\mu}}}}_{\llcorner E} and \Theta_2 = { {\mathscr P}^{q, t}_{ {\boldsymbol{\mu}}}}_{\llcorner E} . Assume that \Theta_1 has the strong-Vitali property, then the following assertions are equivalent
1. { {\mathit H}}_{ {\boldsymbol{\mu}}}^{q, t}(E) = { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t}(E) .
2. \underline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta_1) = 1 = \overline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta_1) for {{ {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t}} -a.a. on E .
3. \underline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta_2) = 1 = \overline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta_2) for {{ {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t}} -a.a. on E .
Proof. (1)\Longrightarrow (2) Assume that { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t}(E) < \infty . Notice first that (1) is equivalent to
\begin{equation} { {\mathit H}}_{ {\boldsymbol{\mu}}}^{q,t}(F) = { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q,t}(F)\quad {\text{for any}} \;\; F\subseteq E. \end{equation} | (5.8) |
Put the set F = \Big\{ x\in E; \; \; \overline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta_1) > 1\Big\}. Using Corollary 5.5, we have { {\mathit H}}_{ {\boldsymbol{\mu}}}^{q, t}(F) = 0 and so, { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t}(F) = 0 , i.e.
\begin{eqnarray} \overline{D}_{ {\boldsymbol{\mu}}}^{q,t}(x,\Theta_1)\leq1 \quad {\text{for}} \quad { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q,t}{\text{-a.a.}}\; x\in E. \end{eqnarray} | (5.9) |
Now consider the set \widetilde F = \Big\{ x\in E; \; \; \underline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta_1) < 1\Big\}, and for m\in\mathbb{N}^*
\widetilde F_m = \left\{ x\in E;\;\; \underline{D}_{ {\boldsymbol{\mu}}}^{q,t} (x, \Theta_1) < 1- \frac1m\right\}. |
Using (3.9), we clearly have
{ {\mathit H}}_{ {\boldsymbol{\mu}}}^{q,t}(\widetilde F_m) = { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q,t}(\widetilde F_m) \le \left(1-\frac1m\right){ {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q,t}(\widetilde F_m). |
This implies that { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t}(\widetilde F_m) = 0 . As F = \bigcup_m \widetilde F_m , we obtain { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t}(F) = 0 , i.e.
\begin{eqnarray} \underline{D}_{ {\boldsymbol{\mu}}}^{q,t}(x,E)\geq1 \quad {\text{for}} \quad { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q,t} {\text{-a.a.}}\; x\in E. \end{eqnarray} | (5.10) |
The statement in (2) now follows from (5.9) and (5.10).
(2)\Longrightarrow (1) Consider the set
F = \Big\{ x\in E;\;\;\underline{D}_{ {\boldsymbol{\mu}}}^{q,t}(x, \Theta_1) = 1 = \overline{D}_{ {\boldsymbol{\mu}}}^{q,t}(x,\Theta_1)\Big\}. |
It therefore follows from (3.9), and (3.5) and since, \underline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta_1) = 1 = \overline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta_1) for { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t} -a.a. x\in E that
\begin{eqnarray*} { {\mathit H}}_{ {\boldsymbol{\mu}}}^{q,t}(E) \leq { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q,t} (E) = { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q,t} (F)\leq { {\mathit H}}_{ {\boldsymbol{\mu}}}^{q,t}(F) \leq { {\mathit H}}_{ {\boldsymbol{\mu}}}^{q,t}(E). \end{eqnarray*} |
(1)\Longrightarrow (3) From Corollary 5.2 we have \underline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta_2) = 1 for { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t}{\text{-a.a.}}\; x\in E.
Next, put \widetilde F = \Big\{ x\in E; \; \; \overline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta_2) > 1\Big\}, and for m\in\mathbb{N}^*
\widetilde F_m = \left\{ x\in E;\;\; \overline{D}_{ {\boldsymbol{\mu}}}^{q,t} (x,\Theta_2) > 1 + \frac1m\right\}. |
We deduce from (3.10) that,
\left(1+ \frac1m\right){ {\mathit H}}_{ {\boldsymbol{\mu}}}^{q,t}(\widetilde F_m) \le { {\mathit H}}_{ {\boldsymbol{\mu}}}^{q,t}(\widetilde F_m) = { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q,t}(\widetilde F_m) . |
This implies that { {\mathit H}}_{ {\boldsymbol{\mu}}}^{q, t}(\widetilde F_m) = 0 . Finally, since F = \bigcup_m \tilde F_m , we get { {\mathit H}}_{ {\boldsymbol{\mu}}}^{q, t}(F) = { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q, t}(F) = 0 , i.e.
\begin{eqnarray*} \overline{D}_{ {\boldsymbol{\mu}}}^{q,t}(x, \Theta_2)\le 1 \quad {\text{for}} \quad { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q,t}{\text{-a.a.}}\; x\in E. \end{eqnarray*} |
(3)\Longrightarrow (1) We consider the set
F = \Big\{ x\in E;\;\;\underline{D}_{ {\boldsymbol{\mu}}}^{q,t}(x,\Theta_2) = 1 = \overline{D}{ {\boldsymbol{\mu}}}^{q,t}(x, \Theta_2)\Big\}. |
Combining (3.10) and (3.11) shows that
\begin{eqnarray*} { {\mathit H}}_{ {\boldsymbol{\mu}}}^{q,t}(E) \leq { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q,t}(E) = { {\mathscr P}}_{ {\boldsymbol{\mu}}}^{q,t}(F) \leq { {\mathit H}}_{ {\boldsymbol{\mu}}}^{q,t}(F) \leq{ {\mathit H}}_{ {\boldsymbol{\mu}}}^{q,t}(E), \end{eqnarray*} |
which proves the desired result.
Similarly, we obtain the following theorem
Theorem 5.9. Let \mu, \nu\in {\mathscr P}(\mathscr X) and E be a Borel subset of supp\, \mu \cap supp\, \nu such that {\mathscr{W}}_{ {\boldsymbol{\mu}}}^{q, t}(E) < +\infty . Let \Theta_1 = { {\mathit H}^{q, h}_{ {\boldsymbol{\mu}}}}_{\llcorner E} and \Theta_2 = { \mathscr W^{q, h}_{ {\boldsymbol{\mu}}}}_{\llcorner E} . Assume that \Theta_1 has the weak-Vitali property, then the following assertions are equivalent
1. { {\mathit H}}_{ {\boldsymbol{\mu}}}^{q, t}(E) = { \mathscr W}_{ {\boldsymbol{\mu}}}^{q, t}(E) .
2. \underline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta_1) = 1 = \overline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta_1) \; \quad for {{ \mathscr W}_{ {\boldsymbol{\mu}}}^{q, t}} -a.a. on E .
3. \underline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta_2) = 1 = \overline{D}_{ {\boldsymbol{\mu}}}^{q, t}(x, \Theta_2) \quad \; for {{ \mathscr W}_{ {\boldsymbol{\mu}}}^{q, t}} -a.a. on E .
In the following, we will give an application of Theorem 3.5. First, we will prove the inequality (2.3) without any restriction on \mu and \nu but we will add a suitable assumption on the metric space \mathscr X . Then, we will modify slightly the construction of the weak-packing measure \mathscr W_{ {\boldsymbol{\mu}}}^{q, t} to obtain a new fractal measure w_{ {\boldsymbol{\mu}}}^{q, t} equal to {\mathscr P}_{ {\boldsymbol{\mu}}}^{q, t}. This new measure is obtained by using the class of all weak-packing of a set E such that the intersection of any two balls of them contains no point of E .
Definition 7. A metric space \mathscr X is said to be amenable to packing if there exists a constant K such that if \pi = (x_i, r_i)_i is a weak packing of a set E then \pi can be rearranged such that for any n , there are at most K-1 integers j\in \{1, \ldots, n-1\} such that
\rho(x_n, x_j) \le r_n + r_j. |
Proposition 5.10. Let \mu, \nu\in\mathscr{P}(\mathscr X) , q, t \in\mathbb{R} and suppose that \mathscr X is amenable to packing. Then, there exists a constant K such that
\begin{equation} \mathscr W_{ {\boldsymbol{\mu}}}^{q,t}\le K {\mathscr P}_{ {\boldsymbol{\mu}}}^{q,t}. \end{equation} | (5.11) |
Proof. Let \pi be a \Delta -fine weak packing of E . Since \mathscr X is amenable to packing, we can distribute the constituents of \pi into K sequences \pi_i = \{(x_{ik}, r_{ik})\; k\in \mathbb N\} \subseteq \pi, 1\le i\le K such that each i we have \pi_i is a \Delta -fine packing of E and so
\sum\limits_{(x,r)\in \pi} \mu(B(x,r))^q \nu(B(x,r))^t \le \sum\limits_{i = 1}^K\sum\limits_{(x,r)\in \pi_i} \mu(B(x,r))^q \nu(B(x,r))^t. |
From which it follows (5.11) by Theorem 3.5.
Let E\subseteq \mathscr X . (x_i, r_i)_i , x_i\in E and r_i > 0 , is a centered \delta -weak-relative-packing of E if and only if, for all i, j = 1, 2, \ldots , we have r_i \le \delta and for all i\neq j ,
\rho(x_i, x_j) > \max(r_i, r_j) \quad {\text{and}}\; \; \quad B(x_i, r_i) \cap B(x_j,r_j) \cap E = \emptyset. |
Then, the weak-relative-packing measure {w}^{q, t}_{ {\boldsymbol{\mu}}} is defined by
{{ w}}^{q, t}_{ {\boldsymbol{\mu}}, \delta}(E) = \sup\left\{ \sum\limits_i \mu\big(B(x_i,r_i)\big)^q \nu(B(x_i,r_i))^t \right\}, |
where the supremum is taken over all \delta -weak-relative-packing of E . We write
\begin{eqnarray*} {{w}}^{q,t}_{ {\boldsymbol{\mu}}, 0 }(E) & = & \inf\limits_{\delta > 0} {{ w}}^{q,t}_{ {\boldsymbol{\mu}}, \delta}(E) = \lim\limits_{\delta\to 0}{{ w}}^{q,t}_{ {\boldsymbol{\mu}},\delta }(E),\\ { w}^{q, t}_{ {\boldsymbol{\mu}}}(E)& = & \inf\left\{ \sum\limits_{i = 1}^\infty {{ w}}^{q,t}_{ {\boldsymbol{\mu}}, 0 }(E_i) ; \;\;\; E \subseteq \bigcup\limits_{i = 1}^\infty E_i \right\}. \end{eqnarray*} |
If E\neq \emptyset and {{ w}}^{q, t}_{ {\boldsymbol{\mu}}}(\emptyset) = 0 . Similarly, we define
{w}^{q, t}_{\ast, {\boldsymbol{\mu}}}(E) = \inf\limits_{\Delta}{w}^{q, t}_{\Delta, {\boldsymbol{\mu}}}(E), |
where we use in the definition of {w}^{q, t}_{\Delta, {\boldsymbol{\mu}}} the \Delta -fine weak-relative-packings. It is clear that {w}^{q, t}_{\ast, {\boldsymbol{\mu}}} is a metric outer regular measure. In addition, we have
{w}^{q, t}_{\ast, {\boldsymbol{\mu}}}(E) = {w}^{q, t}_{ {\boldsymbol{\mu}}}(E), |
for all E\subseteq \mathscr X .
Theorem 5.11. For any E \subseteq \mathscr X , \mu, \nu \in \mathscr{P}(\mathscr X) and q, t \in \mathbb R . Assume that \mathscr X is amenable to packing and every finite Borel measure on \mathscr X satisfies the strong Vitali property. Then
{\mathscr P}_{ {\boldsymbol{\mu}}}^{q,t}(E) = w_{ {\boldsymbol{\mu}}}^{q,t}(E). |
Proof. Since any \Delta -fine packing \pi is a \Delta -fine weak-relative-packing, we have the first inequality
{\mathscr P}_{\ast, {\boldsymbol{\mu}}}^{q,t}(E) \leq w_{\ast, {\boldsymbol{\mu}}}^{q,t}(E). |
Now, we will prove the converse inequality. Since, by Proposition 5.10, we have w_{\ast, {\boldsymbol{\mu}}}^{q, t}(E) \leq K {\mathscr P}_{\ast, {\boldsymbol{\mu}}}^{q, t}(E) and then
{\mathscr P}_{\ast, {\boldsymbol{\mu}}}^{q,t}(E) = 0 \Longleftrightarrow w_{\ast, {\boldsymbol{\mu}}}^{q,t}(E) = 0 \quad {\text{and}} \quad {\mathscr P}_{\ast, {\boldsymbol{\mu}}}^{q,t}(E) = \infty \Longleftrightarrow w_{\ast, {\boldsymbol{\mu}}}^{q,t}(E) = \infty. |
Therefore, we may assume that {\mathscr P}_{\ast, {\boldsymbol{\mu}}}^{q, t}(E) < \infty . Let \Theta = { {\mathscr P}^{q, t}_{\ast, {\boldsymbol{\mu}}}}_{\llcorner E} then, by Corollary 5.2, we have
\underline{D}_{ {\boldsymbol{\mu}}}^{\; q,t}(x,\; \Theta) = 1\;\; {\text{ for }}\;\; {\mathscr P}_{\ast, {\boldsymbol{\mu}}}^{q,t}\;{\text{almost every }} \;x \in E. |
For \alpha < 1 , we set
G_{k} = \Big\{ x \in E,\; r\leq 1/k \Rightarrow {\mathscr P}_{\ast, {\boldsymbol{\mu}}}^{q,t}(E \cap B(x,\; r)) \geq \alpha \mu(B(x,\; r))^{q} \nu(B(x,r))^t \Big\} |
and let G'_{k} = E \backslash G_{k} . Therefore,
\underset{k}{\lim}\; {\mathscr P}_{\ast, {\boldsymbol{\mu}}}^{q,t}(G_{k}) = {\mathscr P}_{\ast, {\boldsymbol{\mu}}}^{q,t}(E), \quad \underset{k}{\lim}\; w_{\ast, {\boldsymbol{\mu}}}^{q,h}(G_{k}) = w_{\ast, {\boldsymbol{\mu}}}^{q,t}(E) |
and
\underset{k}{\lim}\; {\mathscr P}_{\ast, {\boldsymbol{\mu}}}^{q,t}(G'_{k}) = 0 = \underset{k}{\lim}\; w_{\ast, {\boldsymbol{\mu}}}^{q,t}(G'_{k}). |
Let \Delta be a gauge satisfying \Delta(x) < 1/k . Then for any \Delta -fine weak-relative-packing \pi of G_{k} , we have
\begin{eqnarray*} && \sum\limits_{(x,r) \in \pi}\; \alpha \mu(B(x,\; r)^q \nu(B(x,r))^t \\ &\leq& \sum\limits_{(x,r) \in \pi}\; {\mathscr P}_{\ast, {\boldsymbol{\mu}}}^{q,t}(E \; \cap \; B(x,r)) \\ &\le& \sum\limits_{(x,r) \in \pi}\; {\mathscr P}_{\ast, {\boldsymbol{\mu}}}^{q,t}(G_{k} \; \cap\; B(x,r)) + \sum\limits_{(x,r) \in \pi}\; {\mathscr P}_{\ast, {\boldsymbol{\mu}}}^{q,t}(G'_{k} \; \cap\; B(x,r)). \end{eqnarray*} |
As \pi is a \Delta -fine weak-relative-packing of G_{k} , the (G_{k} \cap B) 's are disjoint, and so
\sum\limits_{(x,r) \in \pi}\; {\mathscr P}_{\ast, {\boldsymbol{\mu}}}^{q,t}(G_{k} \; \cap \; B(x,r)) \leq {\mathscr P}_{\ast, {\boldsymbol{\mu}}}^{q,t}(G_{k}). |
Since \mathscr X is amenable to packing, we may distribute the constituents (x_i, r_i)_i into K sequences \pi_i = \Big\{ (x_{ik}, r_{ik}), \; k\in \mathbb N\Big\} \subseteq \pi , 1\le i\le K such that each \pi_i is a \Delta -fine packing of G_k . Therefore, we have
\sum\limits_{(x,r) \in \pi}\; {\mathscr P}_{\ast, {\boldsymbol{\mu}}}^{q,t}(G'_{k} \; \cap \; B) \leq K {\mathscr P}_{\ast, {\boldsymbol{\mu}}}^{q,t}(G'_{k}) |
and so
\alpha w_{\ast, {\boldsymbol{\mu}}}^{q,t}(G_{k}) \leq {\mathscr P}_{\ast, {\boldsymbol{\mu}}}^{q,t}(G_{k}) + K {\mathscr P}_{\ast, {\boldsymbol{\mu}}}^{q,t}(G'_{k}). |
Letting k \rightarrow \infty we get
\alpha w_{\ast, {\boldsymbol{\mu}}}^{q,t}(E) \leq {\mathscr P}_{\ast, {\boldsymbol{\mu}}}^{q,t}(E). |
Since \alpha < 1 was arbitrary, the proof is complete.
In real-line and higher-dimensional Euclidean spaces, the properties of various fractal and multifractal measures and dimensions have been extensively studied. It is frequently hard to create non-trivial self-similar or self-conformal sets, etc., in non-Euclidean spaces. In this study, we discuss how to formulate the definitions for use in general metric spaces. We look into the relative Hausdorff measures and packing measures defined in a separable metric space. We present a few product inequalities that follow from a revised formulation of the density theorems for these measures. We also demonstrate that the Henstock-Thomson variation measures can be stated in terms of one another. In this situation, the weak-Vitali property becomes relevant.
The referees' constructive criticism and recommendations on the text are appreciated by the authors.
The authors acknowledge the Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research at King Faisal University, Saudi Arabia, for financial support under the annual funding track [GRANT3096].
The authors declare that there is no conflicts of interest in this paper.
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