Axiomatic foundations of topological spaces

Last updated

In the mathematical field of topology, a topological space is usually defined by declaring its open sets. [1] However, this is not necessary, as there are many equivalent axiomatic foundations, each leading to exactly the same concept. For instance, a topological space determines a class of closed sets, of closure and interior operators, and of convergence of various types of objects. Each of these can instead be taken as the primary class of objects, with all of the others (including the class of open sets) directly determined from that new starting point. For example, in Kazimierz Kuratowski's well-known textbook on point-set topology, a topological space is defined as a set together with a certain type of "closure operator," and all other concepts are derived therefrom. [2] Likewise, the neighborhood-based axioms (in the context of Hausdorff spaces) can be retraced to Felix Hausdorff's original definition of a topological space in Grundzüge der Mengenlehre.[ citation needed ]

Contents

Many different textbooks use many different inter-dependences of concepts to develop point-set topology. The result is always the same collection of objects: open sets, closed sets, and so on. For many practical purposes, the question of which foundation is chosen is irrelevant, as long as the meaning and interrelation between objects (many of which are given in this article), which are the same regardless of choice of development, are understood. However, there are cases where it can be useful to have flexibility. For instance, there are various natural notions of convergence of measures, and it is not immediately clear whether they arise from a topological structure or not. Such questions are greatly clarified by the topological axioms based on convergence.

Standard definitions via open sets

A topological space is a set together with a collection of subsets of satisfying: [3]

Given a topological space one refers to the elements of as the open sets of and it is common only to refer to in this way, or by the label topology. Then one makes the following secondary definitions:

Definition via closed sets

Let be a topological space. According to De Morgan's laws, the collection of closed sets satisfies the following properties: [16]

Now suppose that is only a set. Given any collection of subsets of which satisfy the above axioms, the corresponding set is a topology on and it is the only topology on for which is the corresponding collection of closed sets. [17] This is to say that a topology can be defined by declaring the closed sets. As such, one can rephrase all definitions to be in terms of closed sets:

Definition via closure operators

Given a topological space the closure can be considered as a map where denotes the power set of One has the following Kuratowski closure axioms: [21]

If is a set equipped with a mapping satisfying the above properties, then the set of all possible outputs of cl satisfies the previous axioms for closed sets, and hence defines a topology; it is the unique topology whose associated closure operator coincides with the given cl. [22] As before, it follows that on a topological space all definitions can be phrased in terms of the closure operator:

Definition via interior operators

Given a topological space the interior can be considered as a map where denotes the power set of It satisfies the following conditions: [27]

If is a set equipped with a mapping satisfying the above properties, then the set of all possible outputs of int satisfies the previous axioms for open sets, and hence defines a topology; it is the unique topology whose associated interior operator coincides with the given int. [28] It follows that on a topological space all definitions can be phrased in terms of the interior operator, for instance:

Definition via exterior operators

Given a topological space the boundary can be considered as a map where denotes the power set of It satisfies the following conditions: [32]

If is a set equipped with a mapping satisfying the above properties, then we can define the interior operator and vice versa. More precisely, if we define , satisfies the interior operator axioms, and hence defines a topology. [33] Conversely, if we define , satisfies the above axioms. Moreover, these correspondence is 1-1. It follows that on a topological space all definitions can be phrased in terms of the exterior operator, for instance:

Definition via boundary operators

Given a topological space the boundary can be considered as a map where denotes the power set of It satisfies the following conditions: [32]

If is a set equipped with a mapping satisfying the above properties, then we can define closure operator and vice versa. More precisely, if we define , satisfies closure axioms, and hence boundary operation defines a topology. Conversely, if we define , satisfies above axioms. Moreover, these correspondence is 1-1. It follows that on a topological space all definitions can be phrased in terms of the boundary operator, for instance:

Definition via derived sets

The derived set of a subset of a topological space is the set of all points that are limit points of that is, points such that every neighbourhood of contains a point of other than itself. The derived set of , denoted , satisfies the following conditions: [32]

Since a set is closed if and only if , [34] the derived set uniquely defines a topology. It follows that on a topological space all definitions can be phrased in terms of derived sets, for instance:

Definition via neighbourhoods

Recall that this article follows the convention that a neighborhood is not necessarily open. In a topological space, one has the following facts: [36]

If is a set and one declares a nonempty collection of neighborhoods for every point of satisfying the above conditions, then a topology is defined by declaring a set to be open if and only if it is a neighborhood of each of its points; it is the unique topology whose associated system of neighborhoods is as given. [36] It follows that on a topological space all definitions can be phrased in terms of neighborhoods:

Definition via convergence of nets

Convergence of nets satisfies the following properties: [39] [40]

  1. Every constant net converges to itself.
  2. Every subnet of a convergent net converges to the same limits.
  3. If a net does not converge to a point then there is a subnet such that no further subnet converges to Equivalently, if is a net such that every one of its subnets has a sub-subnet that converges to a point then converges to
  4. Diagonal principle/Convergence of iterated limits. If in and for every index is a net that converges to in then there exists a diagonal (sub)net of that converges to
    • A diagonal net refers to any subnet of
    • The notation denotes the net defined by whose domain is the set ordered lexicographically first by and then by [40] explicitly, given any two pairs declare that holds if and only if both (1) and also (2) if then

If is a set, then given a notion of net convergence (telling what nets converge to what points [40] ) satisfying the above four axioms, a closure operator on is defined by sending any given set to the set of all limits of all nets valued in the corresponding topology is the unique topology inducing the given convergences of nets to points. [39]

Given a subset of a topological space

A function between two topological spaces is continuous if and only if for every and every net in that converges to in the net [note 1] converges to in [44]

Definition via convergence of filters

A topology can also be defined on a set by declaring which filters converge to which points.[ citation needed ] One has the following characterizations of standard objects in terms of filters and prefilters (also known as filterbases):

See also

Citations

  1. Dugundji 1966; Engelking 1977; Kelley 1955.
  2. Kuratowski 1966, p.38.
  3. Dugundji 1966, p.62; Engelking 1977, p.11-12; Kelley 1955, p.37; Kuratowski 1966, p.45.
  4. Dugundji 1966, p.79; Engelking 1977, p.27-28; Kelley 1955, p.85; Kuratowski 1966, p.105.
  5. Dugundji 1966, p.68; Engelking 1977, p.13; Kelley 1955, p.40.
  6. Dugundji 1966, p.69; Engelking 1977, p.13.
  7. Dugundji 1966, p.71; Engelking 1977, p.14; Kelley 1955, p.44; Kuratowski 1966, p.58.
  8. Kelley 1955, p.38; Kuratowski 1966, p.61.
  9. Dugundji 1966, p.63; Engelking 1977, p.12.
  10. Dugundji 1966, p.210; Engelking 1977, p.49; Kelley 1955, p.66; Kuratowski 1966, p.203.
  11. Engelking 1977, p.52; Kelley 1955, p.83.
  12. Kuratowski 1966, p.6.
  13. Engelking 1977, p.52; Kelley 1955, p.83; Kuratowski 1966, p.63.
  14. Dugundji 1966, 211; Engelking 1977, p.52.
  15. Dugundji 1966, p.212; Engelking 1977, p.52.
  16. Dugundji 1966, p.69; Engelking 1977, p.13; Kelley 1955, p.40; Kuratowski 1966, p.44.
  17. Dugundji 1966, p.74; Engelking 1977, p.22; Kelley 1955, p.40; Kuratowski 1966, p.44.
  18. Dugundji 1966, p.79; Engelking 1977, p.28; Kelley 1955, p.86; Kuratowski 1966, p.105.
  19. Kelley 1955, p.41.
  20. Dugundji 1966, p.70; Engelking 1977; Kelley 1955, p.42.
  21. Dugundji 1966, p.69-70; Engelking 1977, p.14; Kelley 1955, p.42-43.
  22. Dugundji 1966, p.73; Engelking 1977, p.22; Kelley 1955, p.43.
  23. Dugundji 1966, p.80; Engelking 1977, p.28; Kelley 1955, p.86; Kuratowski 1966, p.105.
  24. Kuratowski 1966, p.43.
  25. Dugundji 1966, p.69; Kelley 1955, p.42; Kuratowski 1966, p.43.
  26. Dugundji 1966, p.71; Engelking 1977, p.15; Kelley 1955, p.44-45; Kuratowski 1966, p.55.
  27. Engelking 1977, p.15.
  28. Dugundji 1966, p.74; Engelking 1977, p.23.
  29. Engelking 1977, p.28; Kuratowski 1966, p.103.
  30. Dugundji 1966, p.71; Kelley 1955, p.44.
  31. Kelley 1955, p.44-45.
  32. 1 2 3 Lei, Yinbin; Zhang, Jun (August 2019). "Generalizing Topological Set Operators". Electronic Notes in Theoretical Computer Science. 345: 63–76. doi: 10.1016/j.entcs.2019.07.016 . ISSN   1571-0661.
  33. Bourbaki, Nicolas (1998). Elements of mathematics. Chapters 1/4: 3. General topology Chapters 1 - 4 (Softcover ed., [Nachdr.] - [1998] ed.). Berlin Heidelberg: Springer. ISBN   978-3-540-64241-1.
  34. Baker, Crump W. (1991). Introduction to topology. Dubuque, IA: Wm. C. Brown Publishers. ISBN   978-0-697-05972-7.
  35. Hocking, John G.; Young, Gail S. (1988). Topology. New York: Dover Publications. ISBN   978-0-486-65676-2.
  36. 1 2 Willard 2004, pp. 31–32.
  37. Kuratowski 1966, p.103.
  38. Kuratowski 1966, p.61.
  39. 1 2 Kelley 1955, p.74.
  40. 1 2 3 4 Willard 2004, p. 77.
  41. Engelking 1977, p.50; Kelley 1955, p.66.
  42. Engelking 1977, p.51; Kelley 1955, p.66.
  43. Willard 2004, pp. 73–77.
  44. Engelking 1977, p.51; Kelley 1955, p.86.
  45. Dugundji 1966, p.216; Engelking 1977, p.52.
  46. 1 2 Kelley 1955, p.83.
  47. Dugundji 1966, p.215.
  48. Dugundji 1966, p.215; Engelking 1977, p.52.

Notes

  1. Assuming that the net is indexed by (so that which is just notation for function that sends ) then denotes the composition of with That is, is the function

Related Research Articles

In mathematics, a continuous function is a function such that a small variation of the argument induces a small variation of the value of the function. This implies there are no abrupt changes in value, known as discontinuities. More precisely, a function is continuous if arbitrarily small changes in its value can be assured by restricting to sufficiently small changes of its argument. A discontinuous function is a function that is not continuous. Until the 19th century, mathematicians largely relied on intuitive notions of continuity and considered only continuous functions. The epsilon–delta definition of a limit was introduced to formalize the definition of continuity.

In mathematical analysis, a metric space M is called complete if every Cauchy sequence of points in M has a limit that is also in M.

In mathematics, a topological space is, roughly speaking, a geometrical space in which closeness is defined but cannot necessarily be measured by a numeric distance. More specifically, a topological space is a set whose elements are called points, along with an additional structure called a topology, which can be defined as a set of neighbourhoods for each point that satisfy some axioms formalizing the concept of closeness. There are several equivalent definitions of a topology, the most commonly used of which is the definition through open sets, which is easier than the others to manipulate.

This is a glossary of some terms used in the branch of mathematics known as topology. Although there is no absolute distinction between different areas of topology, the focus here is on general topology. The following definitions are also fundamental to algebraic topology, differential topology and geometric topology. For a list of terms specific to algebraic topology, see Glossary of algebraic topology.

<span class="mw-page-title-main">Open set</span> Basic subset of a topological space

In mathematics, an open set is a generalization of an open interval in the real line.

In topology, the closure of a subset S of points in a topological space consists of all points in S together with all limit points of S. The closure of S may equivalently be defined as the union of S and its boundary, and also as the intersection of all closed sets containing S. Intuitively, the closure can be thought of as all the points that are either in S or "very near" S. A point which is in the closure of S is a point of closure of S. The notion of closure is in many ways dual to the notion of interior.

In mathematics, a topological vector space is one of the basic structures investigated in functional analysis. A topological vector space is a vector space that is also a topological space with the property that the vector space operations are also continuous functions. Such a topology is called a vector topology and every topological vector space has a uniform topological structure, allowing a notion of uniform convergence and completeness. Some authors also require that the space is a Hausdorff space. One of the most widely studied categories of TVSs are locally convex topological vector spaces. This article focuses on TVSs that are not necessarily locally convex. Other well-known examples of TVSs include Banach spaces, Hilbert spaces and Sobolev spaces.

In geometry, topology, and related branches of mathematics, a closed set is a set whose complement is an open set. In a topological space, a closed set can be defined as a set which contains all its limit points. In a complete metric space, a closed set is a set which is closed under the limit operation. This should not be confused with a closed manifold.

<span class="mw-page-title-main">Interior (topology)</span> Largest open subset of some given set

In mathematics, specifically in topology, the interior of a subset S of a topological space X is the union of all subsets of S that are open in X. A point that is in the interior of S is an interior point of S.

<span class="mw-page-title-main">Boundary (topology)</span> All points not part of the interior of a subset of a topological space

In topology and mathematics in general, the boundary of a subset S of a topological space X is the set of points in the closure of S not belonging to the interior of S. An element of the boundary of S is called a boundary point of S. The term boundary operation refers to finding or taking the boundary of a set. Notations used for boundary of a set S include and .

In topology and related branches of mathematics, the Kuratowski closure axioms are a set of axioms that can be used to define a topological structure on a set. They are equivalent to the more commonly used open set definition. They were first formalized by Kazimierz Kuratowski, and the idea was further studied by mathematicians such as Wacław Sierpiński and António Monteiro, among others.

In mathematics, more specifically in topology, an open map is a function between two topological spaces that maps open sets to open sets. That is, a function is open if for any open set in the image is open in Likewise, a closed map is a function that maps closed sets to closed sets. A map may be open, closed, both, or neither; in particular, an open map need not be closed and vice versa.

In general topology, a pretopological space is a generalization of the concept of topological space. A pretopological space can be defined in terms of either filters or a preclosure operator. The similar, but more abstract, notion of a Grothendieck pretopology is used to form a Grothendieck topology, and is covered in the article on that topic.

In topology and related fields of mathematics, a sequential space is a topological space whose topology can be completely characterized by its convergent/divergent sequences. They can be thought of as spaces that satisfy a very weak axiom of countability, and all first-countable spaces are sequential.

In mathematics, a filter on a set is a family of subsets such that:

  1. and
  2. if and , then
  3. If and , then

In topology, the pasting or gluing lemma, and sometimes the gluing rule, is an important result which says that two continuous functions can be "glued together" to create another continuous function. The lemma is implicit in the use of piecewise functions. For example, in the book Topology and Groupoids, where the condition given for the statement below is that and

In the field of topology, a Fréchet–Urysohn space is a topological space with the property that for every subset the closure of in is identical to the sequential closure of in Fréchet–Urysohn spaces are a special type of sequential space.

<span class="mw-page-title-main">Filters in topology</span> Use of filters to describe and characterize all basic topological notions and results.

Filters in topology, a subfield of mathematics, can be used to study topological spaces and define all basic topological notions such as convergence, continuity, compactness, and more. Filters, which are special families of subsets of some given set, also provide a common framework for defining various types of limits of functions such as limits from the left/right, to infinity, to a point or a set, and many others. Special types of filters called ultrafilters have many useful technical properties and they may often be used in place of arbitrary filters.

In functional analysis and related areas of mathematics, a complete topological vector space is a topological vector space (TVS) with the property that whenever points get progressively closer to each other, then there exists some point towards which they all get closer. The notion of "points that get progressively closer" is made rigorous by Cauchy nets or Cauchy filters, which are generalizations of Cauchy sequences, while "point towards which they all get closer" means that this Cauchy net or filter converges to The notion of completeness for TVSs uses the theory of uniform spaces as a framework to generalize the notion of completeness for metric spaces. But unlike metric-completeness, TVS-completeness does not depend on any metric and is defined for all TVSs, including those that are not metrizable or Hausdorff.

<span class="mw-page-title-main">Ultrafilter on a set</span> Maximal proper filter

In the mathematical field of set theory, an ultrafilter on a set is a maximal filter on the set In other words, it is a collection of subsets of that satisfies the definition of a filter on and that is maximal with respect to inclusion, in the sense that there does not exist a strictly larger collection of subsets of that is also a filter. Equivalently, an ultrafilter on the set can also be characterized as a filter on with the property that for every subset of either or its complement belongs to the ultrafilter.

References