Upper Conical density results for general measures on $\mathbb{R}^n$
Marianna Cs\"ornyei, Antti K\"aenm\"aki, Tapio Rajala, Ville Suomala

TL;DR
This paper investigates conical density properties of general Borel measures in Euclidean spaces, extending known results from Hausdorff and packing measures to more general measures.
Contribution
It provides new upper conical density results for broad classes of measures, generalizing classical density theorems.
Findings
Established upper conical density bounds for general Borel measures.
Extended classical density results from Hausdorff and packing measures to broader measures.
Enhanced understanding of measure distribution in Euclidean spaces.
Abstract
We study conical density properties of general Borel measures on Euclidean spaces. Our results are analogous to the previously known result on the upper density properties of Hausdorff and packing type measures.
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Upper Conical density results for general measures on
Marianna Csörnyei
Department of Mathematics
University College London
Gower Street
London WC1E 6BT
United Kingdom
,
Antti Käenmäki
,
Tapio Rajala
and
Ville Suomala
Department of Mathematics and Statistics
P.O. Box 35 (MaD)
FI-40014 University of Jyväskylä
Finland
Dedicated to Professor Pertti Mattila on the occasion of his 60th birthday
Abstract.
We study conical density properties of general Borel measures on Euclidean spaces. Our results are analogous to the previously known result on the upper density properties of Hausdorff and packing type measures.
Key words and phrases:
Upper conical density, Hausdorff dimension, homogeneity of measures, rectifiability
2000 Mathematics Subject Classification:
Primary 28A80; Secondary 28A75, 28A12.
AK acknowledges the support of the Academy of Finland (project #114821) and TR is indebted to the Ville, Yrjö and Kalle Väisälä Fund.
1. Introduction
The extensive study of upper conical density properties for Hausdorff measures was pioneered by Besicovitch who studied the conical density properties of purely -unrectifiable fractals on the plane. Since Besicovitch’s time upper density results have played an important role in geometric measure theory. Due to the works of Marstrand [7], Salli [12], Mattila [9], and others, the upper conical density properties of Hausdorff measures for all values of are very well understood. There are also analogous results for many (generalised) Hausdorff and packing measures, see [5] and references therein. Conical density results are useful since they give information on the distribution of the measure if the values of the measure are known on some small balls. The main applications deal with rectifiability, see [10], but often upper conical density theorems may also be viewed as some kind of anti-porosity theorems. See [9] and [5] for more on this topic.
When working with a Hausdorff or packing type measure , it is useful to study densities such as
[TABLE]
where is the gauge function used to construct the measure and is a cone around the point (see §2 below for the formal definition). However, most measures are so unevenly distributed that there are no gauge functions that could be used to approximate the measure in small balls. This is certainly the case for many self-similar and multifractal-type measures. For these measures the above quoted results give no information. To obtain conical density results for general measures it seems natural to replace the value of the gauge in the denominator by the measure of the ball and consider upper densities such as
[TABLE]
Our purpose in this paper is to study densities of this and more general type for locally finite Borel regular measures on . In particular, we will answer some of the problems posed in [5].
The paper is organised as follows. In Section 2, we setup some notation and discuss auxiliary results that will be needed later on. In particular, we recall a dimension estimate for average homogeneous measures obtained by E. Järvenpää and M. Järvenpää in [3]. In Section 3, we prove an upper density result valid for all locally finite Borel regular measures on . The result gives a positive answer to [5, Question 4.3]. It shows that around typical points a locally finite Borel regular measure cannot be distributed so that it lies mostly on only one one-sided cone at all small scales. In Section 4, we obtain more detailed information on the distribution of the measure provided that its Hausdorff dimension is bounded from below. The result, Theorem 4.1 is analogous to the results of Mattila [9], and Käenmäki and Suomala [4, 5], obtained before for Hausdorff and packing type measures, and it gives strong insight to [5, Question 4.1]. In Section 5, we give a negative answer to [5, Question 4.2] and moreover, we show that Theorem 4.1 is not valid if we only assume that the measure is purely -unrectifiable.
2. Notation and preliminaries
We start by introducing some notation. Let , , and denote the space of all -dimensional linear subspaces of . The unit sphere of is denoted by . For , , , and , we set
[TABLE]
We also denote and , where is the closed ball centred at with radius . Observe that is the one side of the two-sided cone where is the line pointing to the direction . We usually use the “ notation” for very narrow cones whereas the “ cones” are considered as “almost half-spaces”. If , we denote the orthogonal projection onto by . Furthermore, if and , then with the notation , we mean the ball .
By a measure we will always mean a finite nontrivial Borel regular (outer) measure defined on all subsets of some Euclidean space . Since all our results are local, and valid only almost everywhere, we could easily replace the finiteness condition by assuming that is almost everywhere locally finite in the sense that . The support of the measure is denoted by . The (lower) Hausdorff dimension of the measure is defined by
[TABLE]
where denotes the Hausdorff dimension of the set , see [2, §10]. With the notation , we mean the restriction of the measure to a set , defined by for . Notice that trivially whenever is a Borel set with . We will use the notation to denote the -dimensional Hausdorff measure on . More generally, we denote by a generalised Hausdorff measure constructed using a gauge function , see [10, §4.9].
Next we will recall the definition of the average homogeneity from [3]. If , then a set is called a -adic cube provided that for some and . The collection of all -adic cubes with side length is denoted by . If and , then with the notation , we mean the cube centred at the same point as but with side length .
Let and . If and , then we set . Furthermore, if (or ) and (or ), then . For a given measure , we will enumerate -adic cubes so that whenever . Given and , we continue inductively by enumerating the cubes with so that whenever . Bear in mind that this enumeration depends, of course, on the measure. The (upper) -average homogeneity of of order is defined to be
[TABLE]
For us it is essential that the Hausdorff dimension of a measure may be bounded above in terms of homogeneity. The following result was obtained by E. Järvenpää and M. Järvenpää in [3].
Theorem 2.1**.**
If is a probability measure on and for some , then
[TABLE]
It is well known that although most measures on are non-doubling, still “around typical points most scales are doubling”. This somewhat inexact statement is made quantitative in the following lemma. We follow the convention according to which denotes a constant that depends only on the parameters listed inside the parentheses.
Lemma 2.2**.**
If and , then there exists a constant so that for every measure on and for each we have
[TABLE]
for -almost every .
Proof.
Let , fix a measure on and , and denote N(x,l)=\#\bigl{\{}j\in\{1,\ldots,l\}:\mu\bigl{(}B(x,\gamma k^{-j})\bigr{)}\geq c\mu\bigl{(}B(x,\gamma k^{-j+1})\bigr{)}\bigr{\}} for and . Suppose that is a point at which
[TABLE]
Then there are arbitrarily large integers such that . Hence
[TABLE]
for any such and consequently,
[TABLE]
But this is possible only in a set of -measure zero, see for example [2, Proposition 10.2]. The claim thus follows. ∎
3. A general conical density estimate
Our first result is a conical density theorem valid for all measures on . This result is motivated by [5, Question 4.3] asking if
[TABLE]
holds -almost everywhere for all measures on and all doubling gauge functions . We shall formulate our result for densities having \mu\bigl{(}B(x,r)\bigr{)} in the denominator rather than because we believe that these densities are more natural in this general setting. The original question may also be answered in the positive by a slight modification of the proof below.
Theorem 3.1**.**
If and , then there exists a constant so that for every measure on we have
[TABLE]
for -almost every .
Proof.
It is enough to consider non-atomic measures since
[TABLE]
if .
Because we want to use only a finite set of directions, we cover the set with cones , where \beta=\cos\bigl{(}\arccos(\alpha/2)-\arccos(\alpha)\bigr{)} and . For all there is so that for all . Given this it is enough to show that for all measures on we have
[TABLE]
for -almost all .
To prove (3.1) we first apply Lemma 2.2 to find a constant depending only on (choosing will do) so that for all measures and for every radius we have the following: For -almost every there is a scale so that
[TABLE]
We will prove that (3.1) holds with . Assume on the contrary that this is not the case. Then we find a non-atomic measure and so that the set
[TABLE]
has positive -measure. Now is seen to be a Borel set by standard methods and thus -almost all are -density points of , see [10, Corollary 2.14]. Thus we may find a point and a radius so that
[TABLE]
and
[TABLE]
Now , where
[TABLE]
and thus we may find so that
[TABLE]
Next take a point from the closure of so that it maximises the inner product in the closure of . Since the measure is non-atomic, there is a small radius so that
[TABLE]
Now choose any point and cover the set with sets , , and defined by , , and D_{3}=\bigl{(}A\cap B(z,r_{1})\bigr{)}\setminus(D_{1}\cup D_{2}), see Figure 1.
Observe that and so (3.4) implies
[TABLE]
Moreover, the inequality (3.5) reads
[TABLE]
and with (3.3) and the fact that , we are able to conclude that
[TABLE]
Putting these three estimates together yields
[TABLE]
from which we get
[TABLE]
This contradicts (3.2) and finishes the proof. ∎
4. Measures with positive Hausdorff dimension
Suppose that is a Hausdorff measure constructed using a non-decreasing gauge function and is its restriction to some Borel set with finite measure. There are many works (e.g. [12], [9], [4]) that give information on the amount of on small cones around -planes when satisfies suitable assumptions. These results apply when is purely singular with respect to . In [5], similar results are obtained also for many packing type measures. In this section, we consider general measures with in the same spirit by proving the following result.
Theorem 4.1**.**
If , , , and , then there exists a constant so that for every measure on with we have
[TABLE]
for -almost every .
We first introduce a couple of geometric lemmas. The first one is proved by Erdős and Füredi in [1] with the correct asymptotics for as . See also [4, Lemma 2.1].
Lemma 4.2**.**
For each there is such that in any set of points in , there are always three points , , and for which and for some .
We would like to apply the previous lemma for balls instead of just single points. For this, we will need the following simple lemma.
Lemma 4.3**.**
For each there is such that if and are such that and for some , then
[TABLE]
for all .
Proof.
Fix and . Our aim is to find depending only on so that under the assumptions of the lemma we have
[TABLE]
Let \varepsilon=\bigl{(}1-(1-\alpha^{2})^{1/2}\bigr{)}/2 and choose so large that , , and . According to our assumptions, we have
[TABLE]
Also, we clearly have and . Hence
[TABLE]
Now (4.2) yields
[TABLE]
and by using (4.3) and (4.2), we get
[TABLE]
The proof is finished by combining these estimates with (4.4) and the choice of . ∎
The following somewhat technical proposition reduces the proof of Theorem 4.1 to finding a suitable amount of roughly uniformly distributed balls inside all having quite large measure. If this can be done at arbitrarily small scales around typical points, then Theorem 4.1 follows. Below, we shall denote by the cardinality of a collection .
Remark 4.4*.*
Observe that endowed with the metric is a compact metric space and
[TABLE]
for all and . See [12, Lemma 2.2]. Using the compactness, we may thus choose and -planes , so that for each there is with
[TABLE]
for all .
Proposition 4.5**.**
Let , , be the constant of Lemma 4.3, and from Lemma 4.2. Moreover, let be as in Remark 4.4 and . Suppose that is a measure on and that for -almost all we may find arbitrarily small radii and a collection of sub-balls of with the following properties:
- (1)
The collection is pairwise disjoint. 2. (2)
\mu(B)>c\mu\bigl{(}B(x,3r)\bigr{)}* for all .* 3. (3)
If with and , then there is a translate of intersecting at least balls from the collection .
Then
[TABLE]
for -almost every .
Proof.
Let be a measure satisfying the assumptions of the proposition and suppose that -planes are as in Remark 4.4. Our aim is to show that for -almost every , there are arbitrarily small radii so that for every there is for which
[TABLE]
From this the claim follows easily. Indeed, take and choose so that (4.5) holds. Let satisfy (4.7). Then
[TABLE]
and the claim follows by combining (4.7) with the observation that for all we have
[TABLE]
To prove (4.7), we assume on the contrary that there is a Borel set with such that the assumptions (1)–(3) hold for every in some arbitrarily small scales and that for some and for every , there is so that
[TABLE]
for all . Now choose a -density point of and a radius so that
[TABLE]
for all . Next we choose a radius and a collection of balls inside satisfying the assumptions (1)–(3). Then we let
[TABLE]
for . According to (4.9) each ball of contains points of and hence there is at least one so that not less than balls among contain points of . Fix such a , and let . Then the assumption (3) implies that we may find and different balls so that they all intersect the affine -plane . According to the assumption (1) and Lemmas 4.2 and 4.3, we may choose three balls among the balls and a point so that for some we have
[TABLE]
But this contradicts (4.8) since \min\{\mu(B^{1}),\mu(B^{2})\}>c\mu\bigl{(}B(x_{1},3r)\bigr{)}\geq c\mu\bigl{(}B(x_{0},2r)\bigr{)} by the assumption (2). ∎
To complete the proof of Theorem 4.1, we need to find collections of balls as in the previous proposition. To that end, we first work with cubes (instead of balls) and use Theorem 2.1.
Lemma 4.6**.**
For any , , , , , and there exist constants and satisfying the following: For every measure on with and for -almost every ,
[TABLE]
Here we use the enumeration of the -adic cubes introduced in §2.
Proof.
Since , it follows by an easy calculation that we may choose a number such that and
[TABLE]
We will prove the claim with this choice of , and with . Suppose to the contrary that there is a Borel set with such that (4.10) does not hold for any point of . Consider the restriction measure . In order to use Theorem 2.1, we scale our original measure so that . Note that this scaling does not affect the dimension of nor the condition (4.10). It is enough to show that
[TABLE]
since this would imply by Theorem 2.1 and (4.11). In order to calculate , we need to enumerate the -adic cubes in terms of , not in terms of . We denote cubes enumerated in terms of by .
Observe that if , then any ball centred at with radius contains the cube and is contained in the cube . If is a -density point of , then \mu\bigl{(}B(x,r)\bigr{)}\leq 2\mu\bigl{(}F\cap B(x,r)\bigr{)} for all small enough. If is large enough and , where is such that , then also
[TABLE]
for all and so also
[TABLE]
where .
We denote for and N(x,l)=\#\bigl{\{}j\in\{1,\ldots,l\}:\mathtt{i}|_{j}\in E_{k}^{j}\text{ where }\mathtt{i}\in I_{k}^{l}\text{ is such that }x\in Q^{\prime}_{\mathtt{i}}\bigr{\}} for and . It follows from the choice of the set and (4.13) that for -almost every . Since is constant on whenever , this implies
[TABLE]
by Fatou’s lemma, and consequently,
[TABLE]
Moreover,
[TABLE]
for every , because each cube intersects at most larger cubes where . Combining the previous two estimates and the choice of , we now obtain
[TABLE]
This completes the proof. ∎
To finish the proof of Theorem 4.1, we just need to combine the previous lemma and Proposition 4.5, and show how cubes may be replaced by balls. We will choose the number of cubes with (using the notation of Lemma 4.6) large enough so that we are able to choose sufficiently many appropriately separated balls . In order to find a ball containing with comparable measure, we need to work on a doubling scale . For this, we will use Lemma 2.2.
Proof of Theorem 4.1..
Observe that without loss of generality, we may assume to be a probability measure with . Let be the constant of Lemma 4.3 and from Lemma 4.2. Moreover, let be as in Remark 4.4 and choose so that , where is the -dimensional volume of the unit ball.
If for some and , it follows that
[TABLE]
for every . Choose so that and let and be as in Lemma 4.6 and be the constant of Lemma 2.2. Combining these lemmas it follows that for -almost all there are arbitrarily large and with such that with we have
[TABLE]
To obtain (4.16), we use Lemma 2.2 with . To complete the proof, the only thing to check is that with any such and we may find a collection satisfying the assumptions (1)–(3) of Proposition 4.5.
Combining (4.17), (4.14), and (4.16) and recalling that , we have
[TABLE]
for every . Let where is the centre point of . Then \mu(B_{i})>c_{1}c_{2}\mu\bigl{(}B(x,3r)\bigr{)} and by (4.15). By a simple volume argument, we have for every . Consequently, there is a sub-collection of the collection containing at least balls so that the collection is pairwise disjoint and \mu(B)>c_{1}c_{2}\mu\bigl{(}B(x,3r)\bigr{)} for all . To check that also the assumption (3) of Proposition 4.5 holds, choose any sub-collection of with and fix . Since the -dimensional ball \operatorname{proj}_{V^{\bot}}\bigl{(}B(x,r)\bigr{)} may be covered by balls of radius , it follows that some translate of must hit at least balls from the collection . Here denotes the orthogonal complement of . Thus we have verified the assumptions of Proposition 4.5 and the claim follows with . ∎
Remark 4.7*.*
(1) Our method to prove Theorem 4.1 could be pushed further to obtain the following quantitative upper conical density theorem: Under the assumptions of Theorem 4.1, we have
[TABLE]
for -almost all points with some constants and .
(2) One could also apply Mattila’s result [9, Theorem 3.1] to obtain results analogous to Theorem 4.1. More precisely, the quantity
[TABLE]
can be replaced by
[TABLE]
where the infimum is over all Borel sets with . Here , and is the natural isometry invariant Borel probability measure on the Grasmannian . The obtained constant then depends on , , , and .
Thus, using Mattila’s method would yield more general results in the sense that the cones could be replaced by the more general cones . On the other hand, our method allows to consider also the non-symmetric cones and may be used to obtain quantitative estimates as in Remark 4.7(1).
5. Examples and open problems
Inspecting the proof of Proposition 4.5, we see that the assumptions of Theorem 4.1 imply that we may, in fact, find directions , depending on the point , such that
[TABLE]
for -almost all . If , we do not know if the assumption is necessary or not:
Question 5.1**.**
Given and , does there exist a constant so that for all non-atomic measures on one could pick for -almost all so that
[TABLE]
Remark 5.2*.*
(1) A positive answer would also improve Theorem 3.1. However, the question is relevant only for . If , there is no difference between the above question and Theorem 3.1.
(2) Examples 5.4 and 5.5 below show that we cannot hope to obtain (4.1) if the dimension of is , even if is purely unrectifiable (see the definition before Example 5.5). Thus, Question 5.1 is really only about non-atomic measures with zero Hausdorff dimension.
The following example shows why we cannot apply Proposition 4.5 to answer Question 5.1. For simplicity, we will work on , although similar construction works also in higher dimensions.
Example 5.3*.*
There is a non-atomic measure on so that it fails to satisfy the assumptions of Proposition 4.5 with for all .
Construction..
We will construct the measure on . Our aim is to show that there is no constant so that for -almost all there would be arbitrarily small radii such that we could find intervals for which
[TABLE]
To construct , we simply take any sequence so that and as . Then we construct a binomial type measure using the weights and . Let and . If and , then for , where is the left-hand side subinterval and is the right-hand side subinterval, we set and . This construction extends to a measure by standard methods.
Suppose there is a constant for which (5.2) and (5.3) hold. Choose so that
[TABLE]
We may assume that (5.2) and (5.3) are valid for with . Choose for which . Then intersects at most three dyadic intervals of length and one of these dyadic intervals, say must contain at least two of the intervals , say and . Now so .
Let be the largest dyadic sub-interval of with the same left-hand side end point as for which
[TABLE]
Let be the right-hand side end point of and let be the maximal dyadic sub-intervals of which do not intersect . So and whenever . It follows from the construction of and (5.4) that for all . So if , then by (5.5), and has to intersect at least three of the intervals . Then for at least one . Since for all it follows that also . In particular , in any case. By the same argument also , so contrary to (5.2).
Observe that one may replace in (5.3) by any number , but then (the number of the chosen sub-intervals) needs to be replaced by . ∎
To finish the paper, we give the examples mentioned in Remark 5.2(2). Suppose that is purely -unrectifiable and satisfies . We refer the reader to [10] for the basic properties of unrectifiable sets. If and , it is well known that
[TABLE]
for -almost all . The following example, answering [5, Question 4.2], shows that this cannot be improved to
[TABLE]
Example 5.4*.*
There exists a purely -unrectifiable compact set with so that for every
[TABLE]
for every .
Construction..
We construct the set using a nested sequence of compact sets. The first set is just the unit ball . To define the rest of the construction sets, we apply the ideas found e.g. in [8, §5.3] and [11, §5.8].
Define a collection of mappings with and as
[TABLE]
where . Then define sets for , as
[TABLE]
Finally, set . See Figure 2 to see the first three steps, , , and , of the construction. We refer to the radius of step construction ball as . That is and for .
Let us verify that the set admits the desired properties. It is evident from the construction that is a compact set with . The upper bound is trivial as the sum of the diameters of level construction balls is always one. If , then there is and a collection of level construction balls covering so that . This gives the lower bound. Moreover, we have for each construction ball of level . For each there is a unique address a(x)=\bigl{(}a_{1}(x),a_{2}(x),\ldots\bigr{)} so that and
[TABLE]
By Kolmogorov’s zero-one law and the three-series criteria (for example, see [6]), the series diverges for -almost every . Take such a point and fix an angle . Since as , there is so that
[TABLE]
Let be the line with an angle . We will show that
[TABLE]
This means that is not an approximate tangent of at and thus is purely -unrectifiable, see for example [10, Corollary 15.20]. Take large enough so that
[TABLE]
Since all the level construction balls inside the ball hit the line from with direction , there exists depending only on (it suffices to take ) so that
[TABLE]
where . This yields an adequate surplus of balls outside the cone giving
[TABLE]
and therefore (5.8) holds.
It remains to verify (5.7) holds. Let and . First observe from the construction that with any and y\in A\setminus\bigl{(}f_{1,a_{1}(x)}\circ\cdots\circ f_{n-1,a_{n-1}(x)}(A_{0})\bigr{)} we have
[TABLE]
Let and choose the for which . Let be the line perpendicular to the direction . Now there are numbers depending only on (letting and so that will do) so that if , then
[TABLE]
where ’s denote the construction balls of level . Thus
[TABLE]
as . ∎
A measure on is called purely -unrectifiable if for all -rectifiable sets . The following example shows that a result analogous to (5.6) does not hold for arbitrary purely -unrectifiable measures on .
Example 5.5*.*
There exists and a measure on so that is purely -unrectifiable and for every
[TABLE]
for -almost all .
Construction..
We construct the measure using families of maps
[TABLE]
with
[TABLE]
for every , and .
With define that maps a measure on to a measure so that for every Borel set we get
[TABLE]
where the constant is chosen so that . Applying the map divides the measure into vertical strips. These strips correspond to the index in the mappings . Inside the strips the measure is divided to blocks using the index . The measure is concentrated near the centres of the strips by giving different weights to the maps with different values of . See Figure 3 to get the idea of the distribution of mass under map .
Let and for let be the smallest integer so that
[TABLE]
Integers determine how many times we have to use map when constructing the measure in order to make the resulting measure unrectifiable. With these numbers define with
[TABLE]
for every and . Also let . Finally define to be the weak limit of
[TABLE]
as . Here is any compactly supported Borel probability measure on . (Take for example restricted to .) With , and define strips
[TABLE]
and blocks
[TABLE]
To prove the unrectifiability, let us first look at vertical curves: Let be a -curve in so that . Take . Now for any and either
[TABLE]
This means that when we look at two consecutive strips and , we see that the curve cannot meet both the uppermost block of the lower strip and the lowest block of the upper strip. This is because vertically these blocks are next to each other, but horizontally the distance is roughly at least times the width of the block. Hence the curve misses more than one fourth of all the end blocks of the strips of the level construction step. Therefore by iterating and using inequality (5.11), we get
[TABLE]
as .
Next we look at horizontal curves: Let be a -curve in so that . Take and . Now there are at most two so that
[TABLE]
By repeating this observation
[TABLE]
as . Take any -curve in . Because it can be covered with a countable collection of vertical and horizontal -curves defined as above, we have . Thus, the measure is purely -unrectifiable.
Let be the horizontal line. We show that cones around have small measure in the sense of equality (5.9). To do this fix and take the smallest so that
[TABLE]
Now take , a point and a radius . Let so that . Assume that there are at most two so that
[TABLE]
Then
[TABLE]
Assume then that there are at least three such . If this is the case, then the cone must hit another large vertical strip with . Inequality (5.12) yields the existence of a block whose vertical distance to the centre of the strip is strictly less than the vertical distance from the centre of the strip to any of the blocks that intersect the cone . Now the fact that we concentrated measure to the centre using equation (5.10) gives
[TABLE]
and hence
[TABLE]
This together with (5.13) shows (5.9) as tends to infinity. ∎
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