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| [[Image:red blue circle.svg|right|thumb|Example: The points (''x'', ''y'') satisfying {{nowrap|1=''x''<sup>2</sup> + ''y''<sup>2</sup> = ''r''<sup>2</sup>}} are colored blue. The points (''x'', ''y'') satisfying {{nowrap|''x''<sup>2</sup> + ''y''<sup>2</sup> < ''r''<sup>2</sup>}} are colored red. The red points form an open set. The blue points form a boundary set. The union of the red and blue points is a closed set.]]
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| In [[topology]], an '''open set''' is an abstract concept generalizing the idea of an [[open interval]] in the real line. The simplest example is in [[metric spaces]], where open sets can be defined as those [[Set (mathematics)|sets]] which contain an [[open ball]] around each of their points (or, equivalently, a set is open if it doesn't contain any of its [[boundary points]]). However, an open set in general can be very abstract: any collection of sets can be called open as long as the union of an arbitrary number of open sets is open, the intersection of a finite number of open sets is open, and the space itself is open. These conditions are very loose, and they allow enormous flexibility in the choice of open sets. In the two extremes, every set can be open (called the [[discrete topology]]), or no set can be open but the space itself (the [[indiscrete topology]]).
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| In practice, however, open sets are usually chosen to be similar to the open intervals of the real line. The notion of an open set provides a fundamental way to speak of nearness of points in a [[topological space]], without explicitly having a concept of distance defined. Once a choice of open sets is made, the properties of [[continuous function|continuity]], [[connectedness]], and [[compactness]], which use notions of nearness, can be defined using these open sets.
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| Each choice of open sets for a space is called a [[topological space|topology]]. Although open sets and the topologies that they comprise are of central importance in [[point-set topology]], they are also used as an organizational tool in other important branches of mathematics. Examples of topologies include the [[Zariski topology]] in [[algebraic geometry]] that reflects the algebraic nature of [[Algebraic variety|varieties]], and the topology on a [[differential manifold]] in [[differential topology]] where each point within the space is contained in an open set that is homeomorphic to an [[open ball]] in a finite-dimensional [[Euclidean space]].
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| ==Motivation==
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| Intuitively, an open set provides a method to distinguish two points. For example, if about one point in a [[topological space]] there exists an open set not containing another (distinct) point, the two points are referred to as [[topologically distinguishable]]. In this manner, one may speak of whether two subsets of a topological space are "near" without concretely defining a [[Metric_(mathematics)|metric]] on the topological space. Therefore, topological spaces may be seen as a generalization of metric spaces.
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| In the set of all [[real number]]s, one has the natural Euclidean metric; that is, a function which measures the distance between two real numbers: ''d''(''x'', ''y'') = |''x'' - ''y''|. Therefore, given a real number, one can speak of the set of all points close to that real number; that is, within ε of that real number (refer to this real number as ''x''). In essence, points within ε of ''x'' approximate ''x'' to an accuracy of degree ε. Note that ε > 0 always but as ε becomes smaller and smaller, one obtains points that approximate ''x'' to a higher and higher degree of accuracy. For example, if ''x'' = 0 and ε = 1, the points within ε of ''x'' are precisely the points of the [[Interval_(mathematics)#Notations_for_intervals|interval]] (-1, 1); that is, the set of all real numbers between -1 and 1. However, with ε = 0.5, the points within ε of ''x'' are precisely the points of (-0.5, 0.5). Clearly, these points approximate ''x'' to a greater degree of accuracy compared to when ε = 1.
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| The previous discussion shows, for the case ''x'' = 0, that one may approximate ''x'' to higher and higher degrees of accuracy by defining ε to be smaller and smaller. In particular, sets of the form (-ε, ε) give us a lot of information about points close to ''x'' = 0. Thus, rather than speaking of a concrete Euclidean metric, one may use sets to describe points close to ''x''. This innovative idea has far-reaching consequences; in particular, by defining different collections of sets containing 0 (distinct from the sets (-ε, ε)), one may find different results regarding the distance between 0 and other real numbers. For example, if we were to define '''R''' as the only such set for "measuring distance", all points are close to 0 since there is only one possible degree of accuracy one may achieve in approximating 0: being a member of '''R'''. Thus, we find that in some sense, every real number is distance 0 away from 0! It may help in this case to think of the measure as being a binary condition, all things in '''R''' are equally close to 0, while any item that is not in '''R''' is not close to 0.
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| In general, one refers to the family of sets containing 0, used to approximate 0, as a '''neighborhood basis'''; a member of this neighborhood basis is referred to as an '''open set'''. In fact, one may generalize these notions to an arbitrary set (''X''); rather than just the real numbers. In this case, given a point (''x'') of that set, one may define a collection of sets "around" (that is, containing) ''x'', used to approximate ''x''. Of course, this collection would have to satisfy certain properties (known as '''axioms''') for otherwise we may not have a well-defined method to measure distance. For example, every point in ''X'' should approximate ''x'' to ''some'' degree of accuracy. Thus ''X'' should be in this family. Once we begin to define "smaller" sets containing ''x'', we tend to approximate ''x'' to a greater degree of accuracy. Bearing this in mind, one may define the remaining axioms that the family of sets about ''x'' is required to satisfy.
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| ==Definitions==
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| The concept of open sets can be formalized with various degrees of generality, for example:
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| ===Euclidean space===
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| A subset ''U'' of the [[Euclidean space|Euclidean ''n''-space]] '''R'''<sup>''n''</sup> is called ''open'' if, [[given any]] point ''x'' in ''U'', [[there exists]] a real number ε > 0 such that, given any point ''y'' in '''R'''<sup>''n''</sup> whose [[Euclidean distance]] from ''x'' is smaller than ε, ''y'' also belongs to ''U''.<ref>{{cite book|authors=Ueno, Kenji et al.|chapter=The birth of manifolds|title=A Mathematical Gift: The Interplay Between Topology, Functions, Geometry, and Algebra|volume=Vol. 3|publisher=American Mathematical Society|year=2005|isbn=9780821832844|page=38|url=http://books.google.com/books?id=GCHwtdj8MdEC&pg=PA38}}</ref> Equivalently, a subset ''U'' of '''R'''<sup>''n''</sup> is open if every point in ''U'' has a [[Neighbourhood (mathematics)|neighborhood]] in '''R'''<sup>''n''</sup> contained in ''U''.
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| ===Metric spaces===
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| A subset ''U'' of a [[metric space]] {{nowrap|(''M'', ''d'')}} is called ''open'' if, given any point ''x'' in ''U'', there exists a real number ε > 0 such that, given any point ''y'' in ''M'' with {{nowrap|''d''(''x'', ''y'') < ε,}} ''y'' also belongs to ''U''. Equivalently, ''U'' is open if every point in ''U'' has a neighbourhood contained in ''U''.
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| This generalises the Euclidean space example, since Euclidean space with the Euclidean distance is a metric space.
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| ===Topological spaces===
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| If '''(X, 𝜑)''' is a [[topological space]], then a [[subset]] '''Ο''' of '''X''' is called ''open'' [[if and only if]] '''Ο''' is a [[Neighbourhood (mathematics)|neighbourhood]] of each of its points.<ref>{{cite book |last=Mendelson |first=Bert |title=Introduction to Topology |publisher=Dover Publications |year=1990 |isbn=9780486663524 |page=74 |url=http://books.google.com/books?id=vQPwuxcVABYC&pg=PA74}}</ref><ref>{{cite book |last=Kaplansky |first=Irving |authorlink=Irving Kaplansky |title=Set Theory and Metric Spaces |publisher=American Mathematical Society |year=2001 |isbn=9780821826942 |page=72 |url=http://books.google.com/books?id=1XFDM75VK5MC&pg=PA72}}</ref>
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| Note that infinite intersections of open sets need not be open. For example, the intersection of all intervals of the form {{nowrap|(−1/''n'', 1/''n''),}} where ''n'' is a positive integer, is the set {0} which is not open in the real line. Sets that can be constructed as the intersection of [[countably many]] open sets are denoted '''[[G-delta set|G<sub>δ</sub>]]''' sets.
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| The topological definition of open sets generalises the metric space definition: If one begins with a metric space and defines open sets as before, then the family of all open sets is a topology on the metric space. Every metric space is therefore, in a natural way, a topological space. There are, however, topological spaces that are not metric spaces.
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| ==Properties==
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| *The [[empty set]] is both open and closed ([[clopen set]]).<ref>{{cite book |last=Krantz |first=Steven G. |authorlink=Steven G. Krantz |chapter=Fundamentals |title=Essentials of Topology With Applications |publisher=CRC Press |year=2009 |isbn=9781420089745 |pages=3–4 |url=http://books.google.com/books?id=LUhabKjfQZYC&pg=PA3}}</ref>
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| *The set X that the topology is defined on is both open and closed ([[clopen set]]).
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| *The [[Union (set theory)|union]] of any number of open sets is open.<ref name="Taylor-2011-p29">{{cite book |last=Taylor |first=Joseph L. |chapter=Analytic functions |title=Complex Variables |series=The Sally Series |publisher=American Mathematical Society |year=2011 |isbn=9780821869017 |page=29 |url=http://books.google.com/books?id=NHcdl0a7Ao8C&pg=PA29}}</ref>
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| *The [[Intersection (set theory)|intersection]] of a finite number of open sets is open.<ref name="Taylor-2011-p29" />
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| ==Uses==
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| Open sets have a fundamental importance in [[topology]]. The concept is required to define and make sense of [[topological space]] and other topological structures that deal with the notions of closeness and convergence for spaces such as [[metric spaces]] and [[uniform spaces]].
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| Every [[subset]] ''A'' of a topological space ''X'' contains a (possibly empty) open set; the largest such open set is called the [[topological interior|interior]] of ''A''.
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| It can be constructed by taking the union of all the open sets contained in ''A''.
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| Given topological spaces ''X'' and ''Y'', a [[function (mathematics)|function]] ''f'' from ''X'' to ''Y'' is ''[[continuous function (topology)|continuous]]'' if the [[preimage]] of every open set in ''Y'' is open in ''X''.
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| The function ''f'' is called ''[[open map|open]]'' if the [[image (mathematics)|image]] of every open set in ''X'' is open in ''Y''.
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| An open set on the [[real line]] has the characteristic property that it is a countable union of disjoint open intervals.
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| ==Notes and cautions==
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| ==="Open" is defined relative to a particular topology ===
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| Whether a set is open depends on the [[topology]] under consideration. Having opted for [[Abuse of notation|greater brevity over greater clarity]], we refer to a set ''X'' endowed with a topology ''T'' as "the topological space ''X''" rather than "the topological space (''X'', ''T'')", despite the fact that all the topological data is contained in ''T''. If there are two topologies on the same set, a set ''U'' that is open in the first topology might fail to be open in the second topology. For example, if ''X'' is any topological space and ''Y'' is any subset of ''X'', the set ''Y'' can be given its own topology (called the 'subspace topology') defined by "a set ''U'' is open in the subspace topology on ''Y'' if and only if ''U'' is the intersection of ''Y'' with an open set from the original topology on ''X''." This potentially introduces new open sets: if ''V'' is open in the original topology on ''X'', but <math>V\cap Y</math> isn't, then <math>V\cap Y</math> is open in the subspace topology on ''Y'' but not in the original topology on ''X''.
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| As a concrete example of this, if ''U'' is defined as the set of rational numbers in the interval {{nowrap|(0, 1),}} then ''U'' is an open subset of the [[rational number]]s, but not of the [[real numbers]]. This is because when the surrounding space is the rational numbers, for every point ''x'' in ''U'', there exists a positive number ''a'' such that all ''rational'' points within distance ''a'' of ''x'' are also in ''U''. On the other hand, when the surrounding space is the reals, then for every point ''x'' in ''U'' there is ''no'' positive ''a'' such that all ''real'' points within distance ''a'' of ''x'' are in ''U'' (since ''U'' contains no non-rational numbers).
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| === Open and closed are not mutually exclusive ===
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| A set might be open, closed, both, or neither.
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| For example, we'll use the real line with its usual topology (the [[Euclidean topology]]), which is defined as follows: every interval (a,b) of real numbers belongs to the topology, and every union of such intervals, e.g. <math>(a,b)\cup (c,d)</math>, belongs to the topology.
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| * In ''any'' topology, the entire set ''X'' is declared open by definition, as is the empty set. Moreover, the complement of the entire set ''X'' is the empty set; since ''X'' has an open complement, this means by definition that ''X'' is closed. Hence, in any topology, the entire space is simultaneously open and closed ("[[clopen set|clopen]]").
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| * The interval <math>I=(0,1)</math> is open because it belongs to the Euclidean topology. If ''I'' were to have an open complement, it would mean by definition that ''I'' were closed. But ''I'' does not have an open complement; its complement is <math>I^C=(-\infty, 0]\cup[1,\infty)</math>, which does ''not'' belong to the Euclidean topology since it is not a union of intervals of the form <math>(a,b)</math>. Hence, ''I'' is an example of a set that is open but not closed.
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| * By a similar argument, the interval <math>J=[0,1]</math> is closed but not open.
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| * Finally, since neither <math>K=[0,1)</math> nor its complement <math>K^C=(-\infty,0)\cup[1,\infty)</math> belongs to the Euclidean topology (neither one can be written as a union of intervals of the form ''(a,b)'' ), this means that ''K'' is neither open nor closed.
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| ==See also==
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| *[[Closed set]]
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| *[[Clopen set]]
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| *[[Neighbourhood (mathematics)|Neighbourhood]]
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| ==References==
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| {{reflist}}
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| ==External links==
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| *{{springer|title=Open set|id=p/o068310}}
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| *{{planetmath reference|id=2925|title=Open Set}}
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| [[Category:General topology]]
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