Density Topology
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, the density topology on the
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s is a
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on the real line that is different (strictly finer), but in some ways analogous, to the
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to express or relate properties of the
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in topological terms.


Definition

Let U \subseteq \mathbb be a Lebesgue-measurable set. By the Lebesgue density theorem, almost every point x of U is a density point of U, i.e., satisfies :\frac \ \underset \ 1 where \lambda is the Lebesgue measure and (x-h,x+h) is the open interval of length 2h centered at x. When ''all'' points of U are density points of U, it is said to be density open. It can be shown that the density open sets of \mathbb form a topology (in other words, they are stable under arbitrary unions and finite intersections): this constitutes the density topology.


Examples

Every open set in the usual topology of \mathbb (i.e., a union of open intervals) is density open, but the converse is not true. For example, the subset \mathbb \setminus \ is not open in the usual sense (since every open neighborhood of 0 contains some 1/n and is thus not contained in the set), but it ''is'' density open (the only problematic point being 0 and the set has density 1 at 0). More generally, any subset of full measure is density open. This includes, for example, the complements of \mathbb and the Cantor set. Less trivially, and perhaps more instructively, let us show that the set U := \mathbb \setminus \bigcup_^ \left frac, \frac+\frac\right/math> (which, again, is not open in the usual topology) is density open. Again, at every point x\in U other than 0 this is clear because it is even neighborhood of ''x'' for the usual topology, so the only point to consider is 0. But if h>0 and we let k := \left\lfloor\frac\right\rfloor, then each interval \left frac, \frac+\frac\right/math> that intersects (-h,h) has n>k so their total measure is \leq 2^, and \frac \leq \frac \leq \frac \underset 0 proving that 0 is indeed a density point of ''U''.


Properties

Let \mathbb_ denote the real line endowed with the density topology. * Like \mathbb with the usual topology, \mathbb_ is a Hausdorff (''T2'') and Tychonoff (''T'') topological space but ''unlike'' the usual topology, it not normal (''T4''). * A subset Y \subseteq \mathbb_ is nowhere dense (for the ''density'' topology) ''iff'' it is meagre (ditto) ''iff'' it is closed and discrete (ditto) ''iff'' it is a
null set In mathematical analysis, a null set is a Lebesgue measurable set of real numbers that has measure zero. This can be characterized as a set that can be covered by a countable union of intervals of arbitrarily small total length. The notio ...
(in the sense of Lebesgue measure). * The Borel subsets of \mathbb_ (for the ''density'' topology) are precisely the Lebesgue-measurable sets; and the complete Boolean algebra of regular open sets of \mathbb_ can be identified with the "reduced measure algebra", i.e., the Boolean algebra of Lebesgue-measurable sets modulo null sets. * Like \mathbb with the usual topology, \mathbb_ is connected. * Like \mathbb with the usual topology, \mathbb_ is a
Baire space In mathematics, a topological space X is said to be a Baire space if countable unions of closed sets with empty interior also have empty interior. According to the Baire category theorem, compact Hausdorff spaces and complete metric spaces are ...
; in fact, unlike the usual topology, it is even ''hereditarily Baire'' in the sense that every subspace of \mathbb_ is a Baire space. * The
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subspaces of \mathbb_ are precisely its finite subsets. * The
approximately continuous In mathematics, particularly in mathematical analysis and measure theory, an approximately continuous function is a concept that generalizes the notion of continuous functions by replacing the limit of a function, ordinary limit with an approximat ...
functions f\colon \mathbb\to\mathbb are precisely the continuous functions f : \mathbb_\to\mathbb (i.e., placing the density topology at the source but the usual topology at the target).


Notes


References


Springer Encyclopedia of Mathematics: article "Density topology"
* * {{math-stub Measure theory Real analysis