Vitali covering lemma

Last updated

In mathematics, the Vitali covering lemma is a combinatorial and geometric result commonly used in measure theory of Euclidean spaces. This lemma is an intermediate step, of independent interest, in the proof of the Vitali covering theorem. The covering theorem is credited to the Italian mathematician Giuseppe Vitali. [1] The theorem states that it is possible to cover, up to a Lebesgue-negligible set, a given subset E of Rd by a disjoint family extracted from a Vitali covering of E.

Contents

Vitali covering lemma

Visualization of the lemma in
R
1
{\displaystyle \mathbb {R} ^{1}}
. Vitali Covering Lemma in R1.gif
Visualization of the lemma in .
On the top: a collection of balls; the green balls are the disjoint subcollection. On the bottom: the subcollection with three times the radius covers all the balls. Vitali covering lemma.svg
On the top: a collection of balls; the green balls are the disjoint subcollection. On the bottom: the subcollection with three times the radius covers all the balls.

There are two basic versions of the lemma, a finite version and an infinite version. Both lemmas can be proved in the general setting of a metric space, typically these results are applied to the special case of the Euclidean space . In both theorems we will use the following notation: if is a ball and , we will write for the ball .

Finite version

Theorem (Finite Covering Lemma). Let be any finite collection of balls contained in an arbitrary metric space. Then there exists a subcollection of these balls which are disjoint and satisfy

Proof: Without loss of generality, we assume that the collection of balls is not empty; that is, n > 0. Let be the ball of largest radius. Inductively, assume that have been chosen. If there is some ball in that is disjoint from , let be such ball with maximal radius (breaking ties arbitrarily), otherwise, we set m := k and terminate the inductive definition.

Now set . It remains to show that for every . This is clear if . Otherwise, there necessarily is some such that intersects . We choose the minimal possible and note that the radius of is at least as large as that of . The triangle inequality then implies that , as needed. This completes the proof of the finite version.

Infinite version

Theorem (Infinite Covering Lemma). Let be an arbitrary collection of balls in a separable metric space such that

where denotes the radius of the ball B. Then there exists a countable sub-collection such that the balls of are pairwise disjoint, and satisfy

And moreover, each intersects some with .

Proof: Consider the partition of F into subcollections Fn, n ≥ 0, defined by

That is, consists of the balls B whose radius is in (2n−1R, 2nR]. A sequence Gn, with Gn Fn, is defined inductively as follows. First, set H0 = F0 and let G0 be a maximal disjoint subcollection of H0 (such a subcollection exists by Zorn's lemma). Assuming that G0,...,Gn have been selected, let

and let Gn+1 be a maximal disjoint subcollection of Hn+1. The subcollection

of F satisfies the requirements of the theorem: G is a disjoint collection, and is thus countable since the given metric space is separable. Moreover, every ball B F intersects a ball C G such that B  5 C.
Indeed, if we are given some , there must be some n be such that B belongs to Fn. Either B does not belong to Hn, which implies n > 0 and means that B intersects a ball from the union of G0, ..., Gn−1, or B Hn and by maximality of Gn, B intersects a ball in Gn. In any case, B intersects a ball C that belongs to the union of G0, ..., Gn. Such a ball C must have a radius larger than 2n−1R. Since the radius of B is less than or equal to 2nR, we can conclude by the triangle inequality that B ⊂ 5 C, as claimed. From this immediately follows, completing the proof. [2]

Remarks

Applications and method of use

An application of the Vitali lemma is in proving the Hardy–Littlewood maximal inequality. As in this proof, the Vitali lemma is frequently used when we are, for instance, considering the d-dimensional Lebesgue measure, , of a set E Rd, which we know is contained in the union of a certain collection of balls , each of which has a measure we can more easily compute, or has a special property one would like to exploit. Hence, if we compute the measure of this union, we will have an upper bound on the measure of E. However, it is difficult to compute the measure of the union of all these balls if they overlap. By the Vitali lemma, we may choose a subcollection which is disjoint and such that . Therefore,

Now, since increasing the radius of a d-dimensional ball by a factor of five increases its volume by a factor of 5d, we know that

and thus

Vitali covering theorem

In the covering theorem, the aim is to cover, up to a "negligible set", a given set E  Rd by a disjoint subcollection extracted from a Vitali covering for E : a Vitali class or Vitali covering for E is a collection of sets such that, for every x  E and δ > 0, there is a set U in the collection such that x  U and the diameter of U is non-zero and less than δ.

In the classical setting of Vitali, [1] the negligible set is a Lebesgue negligible set, but measures other than the Lebesgue measure, and spaces other than Rd have also been considered, as is shown in the relevant section below.

The following observation is useful: if is a Vitali covering for E and if E is contained in an open set Ω  Rd, then the subcollection of sets U in that are contained in Ω is also a Vitali covering for E.

Vitali's covering theorem for the Lebesgue measure

The next covering theorem for the Lebesgue measure λd is due to Lebesgue (1910). A collection of measurable subsets of Rd is a regular family (in the sense of Lebesgue) if there exists a constant C such that

for every set V in the collection .
The family of cubes is an example of regular family , as is the family of rectangles in R2 such that the ratio of sides stays between m−1 and m, for some fixed m  1. If an arbitrary norm is given on Rd, the family of balls for the metric associated to the norm is another example. To the contrary, the family of all rectangles in R2 is not regular.

Theorem   Let E  Rd be a measurable set with finite Lebesgue measure, and let be a regular family of closed subsets of Rd that is a Vitali covering for E. Then there exists a finite or countably infinite disjoint subcollection such that

The original result of Vitali (1908) is a special case of this theorem, in which d = 1 and is a collection of intervals that is a Vitali covering for a measurable subset E of the real line having finite measure.
The theorem above remains true without assuming that E has finite measure. This is obtained by applying the covering result in the finite measure case, for every integer n  0, to the portion of E contained in the open annulus Ωn of points x such that n < |x| < n+1. [4]

A somewhat related covering theorem is the Besicovitch covering theorem. To each point a of a subset A  Rd, a Euclidean ball B(a, ra) with center a and positive radius ra is assigned. Then, as in the Vitali covering lemma, a subcollection of these balls is selected in order to cover A in a specific way. The main differences between the Besicovitch covering theorem and the Vitali covering lemma are that on one hand, the disjointness requirement of Vitali is relaxed to the fact that the number Nx of the selected balls containing an arbitrary point x  Rd is bounded by a constant Bd depending only upon the dimension d; on the other hand, the selected balls do cover the set A of all the given centers. [5]

Vitali's covering theorem for the Hausdorff measure

One may have a similar objective when considering Hausdorff measure instead of Lebesgue measure. The following theorem applies in that case. [6]

Theorem   Let Hs denote s-dimensional Hausdorff measure, let E  Rd be an Hs-measurable set and a Vitali class of closed sets for E. Then there exists a (finite or countably infinite) disjoint subcollection such that either

or

Furthermore, if E has finite s-dimensional Hausdorff measure, then for any ε > 0, we may choose this subcollection {Uj} such that

This theorem implies the result of Lebesgue given above. Indeed, when s = d, the Hausdorff measure Hs on Rd coincides with a multiple of the d-dimensional Lebesgue measure. If a disjoint collection is regular and contained in a measurable region B with finite Lebesgue measure, then

which excludes the second possibility in the first assertion of the previous theorem. It follows that E is covered, up to a Lebesgue-negligible set, by the selected disjoint subcollection.

From the covering lemma to the covering theorem

The covering lemma can be used as intermediate step in the proof of the following basic form of the Vitali covering theorem.

Theorem  For every subset E of Rd and every Vitali cover of E by a collection F of closed balls, there exists a disjoint subcollection G which covers E up to a Lebesgue-negligible set.

Proof: Without loss of generality, one can assume that all balls in F are nondegenerate and have radius less than or equal to 1. By the infinite form of the covering lemma, there exists a countable disjoint subcollection of F such that every ball B F intersects a ball C G for which B  5 C. Let r > 0 be given, and let Z denote the set of points z E that are not contained in any ball from G and belong to the open ball B(r) of radius r, centered at 0. It is enough to show that Z is Lebesgue-negligible, for every given r.

Let denote the subcollection of those balls in G that meet B(r). Note that may be finite or countably infinite. Let z Z be fixed. For each N,z does not belong to the closed set by the definition of Z. But by the Vitali cover property, one can find a ball B F containing z, contained in B(r), and disjoint from K. By the property of G, the ball B intersects some ball and is contained in . But because K and B are disjoint, we must have i > N. So for some i > N, and therefore

This gives for every N the inequality

But since the balls of are contained in B(r+2), and these balls are disjoint we see

Therefore, the term on the right side of the above inequality converges to 0 as N goes to infinity, which shows that Z is negligible as needed. [7]

Infinite-dimensional spaces

The Vitali covering theorem is not valid in infinite-dimensional settings. The first result in this direction was given by David Preiss in 1979: [8] there exists a Gaussian measure γ on an (infinite-dimensional) separable Hilbert space H so that the Vitali covering theorem fails for (H, Borel(H), γ). This result was strengthened in 2003 by Jaroslav Tišer: the Vitali covering theorem in fact fails for every infinite-dimensional Gaussian measure on any (infinite-dimensional) separable Hilbert space. [9]

See also

Notes

  1. 1 2 ( Vitali 1908 ).
  2. The proof given is based on ( Evans & Gariepy 1992 , section 1.5.1)
  3. See the "From the covering lemma to the covering theorem" section of this entry.
  4. See ( Evans & Gariepy 1992 ).
  5. Vitali (1908) allowed a negligible error.
  6. ( Falconer 1986 ).
  7. The proof given is based on ( Natanson 1955 ), with some notation taken from ( Evans & Gariepy 1992 ).
  8. ( Preiss 1979 ).
  9. ( Tišer 2003 ).

Related Research Articles

In mathematics, specifically in measure theory, a Borel measure on a topological space is a measure that is defined on all open sets. Some authors require additional restrictions on the measure, as described below.

In measure theory, a branch of mathematics, the Lebesgue measure, named after French mathematician Henri Lebesgue, is the standard way of assigning a measure to subsets of higher dimensional Euclidean n-spaces. For lower dimensions n = 1, 2, or 3, it coincides with the standard measure of length, area, or volume. In general, it is also called n-dimensional volume, n-volume, hypervolume, or simply volume. It is used throughout real analysis, in particular to define Lebesgue integration. Sets that can be assigned a Lebesgue measure are called Lebesgue-measurable; the measure of the Lebesgue-measurable set A is here denoted by λ(A).

In mathematical analysis and in probability theory, a σ-algebra on a set X is a nonempty collection Σ of subsets of X closed under complement, countable unions, and countable intersections. The ordered pair is called a measurable space.

In mathematics, the Lp spaces are function spaces defined using a natural generalization of the p-norm for finite-dimensional vector spaces. They are sometimes called Lebesgue spaces, named after Henri Lebesgue, although according to the Bourbaki group they were first introduced by Frigyes Riesz.

In real analysis the Heine–Borel theorem, named after Eduard Heine and Émile Borel, states:

In the mathematical field of real analysis, the monotone convergence theorem is any of a number of related theorems proving the convergence of monotonic sequences that are also bounded. Informally, the theorems state that if a sequence is increasing and bounded above by a supremum, then the sequence will converge to the supremum; in the same way, if a sequence is decreasing and is bounded below by an infimum, it will converge to the infimum.

In vector calculus, Green's theorem relates a line integral around a simple closed curve C to a double integral over the plane region D bounded by C. It is the two-dimensional special case of Stokes' theorem.

In calculus and real analysis, absolute continuity is a smoothness property of functions that is stronger than continuity and uniform continuity. The notion of absolute continuity allows one to obtain generalizations of the relationship between the two central operations of calculus—differentiation and integration. This relationship is commonly characterized in the framework of Riemann integration, but with absolute continuity it may be formulated in terms of Lebesgue integration. For real-valued functions on the real line, two interrelated notions appear: absolute continuity of functions and absolute continuity of measures. These two notions are generalized in different directions. The usual derivative of a function is related to the Radon–Nikodym derivative, or density, of a measure. We have the following chains of inclusions for functions over a compact subset of the real line:

In mathematics, Fatou's lemma establishes an inequality relating the Lebesgue integral of the limit inferior of a sequence of functions to the limit inferior of integrals of these functions. The lemma is named after Pierre Fatou.

In mathematics, an additive set function is a function mapping sets to numbers, with the property that its value on a union of two disjoint sets equals the sum of its values on these sets, namely, If this additivity property holds for any two sets, then it also holds for any finite number of sets, namely, the function value on the union of k disjoint sets equals the sum of its values on the sets. Therefore, an additive set function is also called a finitely additive set function. However, a finitely additive set function might not have the additivity property for a union of an infinite number of sets. A σ-additive set function is a function that has the additivity property even for countably infinite many sets, that is,

In mathematics, the Gauss–Kuzmin–Wirsing operator is the transfer operator of the Gauss map that takes a positive number to the fractional part of its reciprocal. It is named after Carl Gauss, Rodion Kuzmin, and Eduard Wirsing. It occurs in the study of continued fractions; it is also related to the Riemann zeta function.

A Dynkin system, named after Eugene Dynkin, is a collection of subsets of another universal set satisfying a set of axioms weaker than those of 𝜎-algebra. Dynkin systems are sometimes referred to as 𝜆-systems or d-system. These set families have applications in measure theory and probability.

In mathematics, the Lebesgue differentiation theorem is a theorem of real analysis, which states that for almost every point, the value of an integrable function is the limiting average taken around the point. The theorem is named for Henri Lebesgue.

An infinite-dimensional Lebesgue measure is a measure defined on an infinite-dimensional Banach space, which shares certain properties with the Lebesgue measure defined on finite-dimensional spaces.

In mathematics, in particular in measure theory, a content is a real-valued function defined on a collection of subsets such that

In mathematics, the Hardy–Littlewood maximal operatorM is a significant non-linear operator used in real analysis and harmonic analysis.

In mathematical analysis, a Besicovitch cover, named after Abram Samoilovitch Besicovitch, is an open cover of a subset E of the Euclidean space RN by balls such that each point of E is the center of some ball in the cover.

In mathematics, especially measure theory, a set function is a function whose domain is a family of subsets of some given set and that (usually) takes its values in the extended real number line which consists of the real numbers and

In mathematics, the dyadic cubes are a collection of cubes in Rn of different sizes or scales such that the set of cubes of each scale partition Rn and each cube in one scale may be written as a union of cubes of a smaller scale. These are frequently used in mathematics as a way of discretizing objects in order to make computations or analysis easier. For example, to study an arbitrary subset of A of Euclidean space, one may instead replace it by a union of dyadic cubes of a particular size that cover the set. One can consider this set as a pixelized version of the original set, and as smaller cubes are used one gets a clearer image of the set A. Most notable appearances of dyadic cubes include the Whitney extension theorem and the Calderón–Zygmund lemma.

In mathematics, a polyadic space is a topological space that is the image under a continuous function of a topological power of an Alexandroff one-point compactification of a discrete space.

References