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mathematics Mathematics is a field of study that discovers and organizes methods, Mathematical theory, theories and theorems that are developed and Mathematical proof, proved for the needs of empirical sciences and mathematics itself. There are many ar ...
, the Vitali covering lemma is a combinatorial and geometric result commonly used in
measure theory In mathematics, the concept of a measure is a generalization and formalization of geometrical measures (length, area, volume) and other common notions, such as magnitude (mathematics), magnitude, mass, and probability of events. These seemingl ...
of
Euclidean space Euclidean space is the fundamental space of geometry, intended to represent physical space. Originally, in Euclid's ''Elements'', it was the three-dimensional space of Euclidean geometry, but in modern mathematics there are ''Euclidean spaces ...
s. 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 Giuseppe Vitali (26 August 1875 – 29 February 1932) was an Italian mathematician who worked in several branches of mathematical analysis. He gives his name to several entities in mathematics, most notably the Vitali set with which he was the fi ...
.. The theorem states that it is possible to cover, up to a Lebesgue-negligible set, a given subset ''E'' of R''d'' by a disjoint family extracted from a ''Vitali covering'' of ''E''.


Vitali covering lemma

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 In mathematics, a metric space is a Set (mathematics), set together with a notion of ''distance'' between its Element (mathematics), elements, usually called point (geometry), points. The distance is measured by a function (mathematics), functi ...
, typically these results are applied to the special case of the
Euclidean space Euclidean space is the fundamental space of geometry, intended to represent physical space. Originally, in Euclid's ''Elements'', it was the three-dimensional space of Euclidean geometry, but in modern mathematics there are ''Euclidean spaces ...
\mathbb^d. In both theorems we will use the following notation: if B = B(x,r) is a
ball A ball is a round object (usually spherical, but sometimes ovoid) with several uses. It is used in ball games, where the play of the game follows the state of the ball as it is hit, kicked or thrown by players. Balls can also be used for s ...
and c \geq 0 , we will write cB for the ball B(x,cr).


Finite version


Infinite version

The following proof is based on . Remarks *In the ''infinite version'', the initial collection of balls can be
countable In mathematics, a Set (mathematics), set is countable if either it is finite set, finite or it can be made in one to one correspondence with the set of natural numbers. Equivalently, a set is ''countable'' if there exists an injective function fro ...
or
uncountable In mathematics, an uncountable set, informally, is an infinite set that contains too many elements to be countable. The uncountability of a set is closely related to its cardinal number: a set is uncountable if its cardinal number is larger tha ...
. In a separable metric space, any pairwise disjoint collection of balls must be countable. In a non-separable space, the same argument shows a pairwise disjoint subfamily exists, but that family need not be countable. *The result may fail if the radii are not bounded: consider the family of all balls centered at 0 in R''d''; any disjoint subfamily consists of only one ball ''B'', and 5 ''B'' does not contain all the balls in this family. *The constant 5 is not optimal. If the scale ''c''−''n'', ''c'' > 1, is used instead of 2−''n'' for defining F''n'', the final value is 1 + 2''c'' instead of 5. Any constant larger than 3 gives a correct statement of the lemma, but not 3. *Using a finer analysis, when the original collection F is a ''Vitali covering'' of a subset ''E'' of R''d'', one shows that the subcollection G, defined in the above proof, covers ''E'' up to a Lebesgue-negligible set.


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 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 '-spaces. For lower dimensions or , it c ...
, \lambda_d, of a
set Set, The Set, SET or SETS may refer to: Science, technology, and mathematics Mathematics *Set (mathematics), a collection of elements *Category of sets, the category whose objects and morphisms are sets and total functions, respectively Electro ...
''E'' ⊂ R''d'', 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 \left\ which is disjoint and such that \bigcup_5 B_j\supset \bigcup_ B_j\supset E. Therefore, : \lambda_d(E)\leq \lambda_d \biggl( \bigcup_B_ \biggr) \leq \lambda_d \biggl( \bigcup_5B_ \biggr) \leq \sum_ \lambda_d(5 B_). Now, since increasing the radius of a ''d''-dimensional ball by a factor of five increases its volume by a factor of 5''d'', we know that : \sum_ \lambda_d(5B_) = 5^d \sum_ \lambda_d(B_) and thus : \lambda_d(E) \leq 5^ \sum_\lambda_d(B_).


Vitali covering theorem

In the covering theorem, the aim is to cover, ''up to'' a "negligible set", a given set ''E'' ⊆ R''d'' by a disjoint subcollection extracted from a ''Vitali covering'' for ''E'' : a Vitali class or Vitali covering \mathcal for ''E'' is a collection of sets such that, for every ''x'' ∈ ''E'' and ''δ'' > 0, there is a set ''U'' in the collection \mathcal such that ''x'' ∈ ''U'' and the
diameter In geometry, a diameter of a circle is any straight line segment that passes through the centre of the circle and whose endpoints lie on the circle. It can also be defined as the longest Chord (geometry), chord of the circle. Both definitions a ...
of ''U'' is non-zero and less than ''δ''. In the classical setting of Vitali, the negligible set is a ''Lebesgue negligible set'', but measures other than the Lebesgue measure, and spaces other than R''d'' have also been considered, as is shown in the relevant section below. The following observation is useful: if \mathcal is a Vitali covering for ''E'' and if ''E'' is contained in an open set Ω ⊆ R''d'', then the subcollection of sets ''U'' in \mathcal 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 ''λ''''d'' is due to . A collection \mathcal of measurable subsets of R''d'' is a ''regular family'' (in the sense of Lebesgue) if there exists a constant ''C'' such that :\operatorname(V)^d \le C \, \lambda_d(V) for every set ''V'' in the collection \mathcal.
The family of cubes is an example of regular family \mathcal, as is the family \mathcal(m) 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 R''d'', 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. The original result of is a special case of this theorem, in which ''d'' = 1 and \mathcal 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 Ω''n'' of points ''x'' such that ''n'' < , ''x'',  < ''n''+1. A somewhat related covering theorem is the Besicovitch covering theorem. To each point ''a'' of a subset ''A'' ⊆ R''d'', 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 ''N''''x'' of the selected balls containing an arbitrary point ''x'' ∈ R''d'' is bounded by a constant ''B''''d'' depending only upon the dimension ''d''; on the other hand, the selected balls do cover the set ''A'' of all the given centers.


Vitali's covering theorem for the Hausdorff measure

One may have a similar objective when considering
Hausdorff measure In mathematics, Hausdorff measure is a generalization of the traditional notions of area and volume to non-integer dimensions, specifically fractals and their Hausdorff dimensions. It is a type of outer measure, named for Felix Hausdorff, that assi ...
instead of Lebesgue measure. The following theorem applies in that case. Furthermore, if ''E'' has finite ''s''-dimensional Hausdorff measure, then for any ''ε'' > 0, we may choose this subcollection such that : H^(E)\leq \sum_ \mathrm (U_)^+\varepsilon. This theorem implies the result of Lebesgue given above. Indeed, when ''s'' = ''d'', the Hausdorff measure ''H''''s'' on R''d'' 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 :\sum_j \operatorname(U_j)^d \le C \sum_j \lambda_d(U_j) \le C \, \lambda_d(B) < +\infty 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. 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 \mathbf 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 \mathbf_r = \_ denote the subcollection of those balls in G that meet ''B''(''r''). Note that \mathbf_r may be finite or countably infinite. Let ''z'' ∈ ''Z'' be fixed. For each ''N,'' ''z'' does not belong to the closed set K = \bigcup_ C_n 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 C_i \in \mathbf and is contained in 5C_i. But because ''K'' and ''B'' are disjoint, we must have ''i > N.'' So z \in 5C_i for some ''i > N,'' and therefore : Z \subset \bigcup_ 5C_n. This gives for every ''N'' the inequality : \lambda_d(Z) \le \sum_ \lambda_d(5C_n) = 5^d \sum_ \lambda_d(C_n). But since the balls of \mathbf_r are contained in ''B(r+2)'', and these balls are disjoint we see :\sum_n \lambda_d(C_n) < \infty. 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.


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: there exists a
Gaussian measure In mathematics, Gaussian measure is a Borel measure on finite-dimensional Euclidean space \mathbb^n, closely related to the normal distribution in statistics. There is also a generalization to infinite-dimensional spaces. Gaussian measures are na ...
''γ'' on an (infinite-dimensional) separable
Hilbert space In mathematics, a Hilbert space is a real number, real or complex number, complex inner product space that is also a complete metric space with respect to the metric induced by the inner product. It generalizes the notion of Euclidean space. The ...
''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..


See also

* Besicovitch covering theorem


Notes


References

* * * * * * * * *{{Citation , last = Vitali , first = Giuseppe , author-link= Giuseppe Vitali , title = Sui gruppi di punti e sulle funzioni di variabili reali , journal = Atti dell'Accademia delle Scienze di Torino , origyear = 17 December 1907 , year = 1908 , volume = 43 , pages = 75–92 , url = https://archive.org/stream/attidellarealeac43real#page/228/mode/2up , language=Italian , jfm = 39.0101.05 (Title translation) "''On groups of points and functions of real variables''" is the paper containing the first proof of
Vitali covering theorem In mathematics, the Vitali covering lemma is a combinatorial geometry, 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 c ...
. Covering lemmas Measure theory Real analysis