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mathematics Mathematics is an area of knowledge that includes the topics of numbers, formulas and related structures, shapes and the spaces in which they are contained, and quantities and their changes. These topics are represented in modern mathematics ...
, a base (or basis) for the topology of a topological space is a family \mathcal of
open subset In mathematics, open sets are a generalization of open intervals in the real line. In a metric space (a set along with a distance defined between any two points), open sets are the sets that, with every point , contain all points that are suff ...
s of such that every open set of the topology is equal to the union of some sub-family of \mathcal. For example, the set of all
open interval In mathematics, a (real) interval is a set of real numbers that contains all real numbers lying between any two numbers of the set. For example, the set of numbers satisfying is an interval which contains , , and all numbers in between. Other ...
s in the real number line \R is a basis for the Euclidean topology on \R because every open interval is an open set, and also every open subset of \R can be written as a union of some family of open intervals. Bases are ubiquitous throughout topology. The sets in a base for a topology, which are called , are often easier to describe and use than arbitrary open sets. Many important topological definitions such as continuity and convergence can be checked using only basic open sets instead of arbitrary open sets. Some topologies have a base of open sets with specific useful properties that may make checking such topological definitions easier. Not all families of subsets of a set X form a base for a topology on X. Under some conditions detailed below, a family of subsets will form a base for a (unique) topology on X, obtained by taking all possibly unions of subfamilies. Such families of sets are very frequently used to define topologies. A weaker notion related to bases is that of a subbase for a topology. Bases for topologies are also closely related to
neighborhood bases In topology and related areas of mathematics, the neighbourhood system, complete system of neighbourhoods, or neighbourhood filter \mathcal(x) for a point x in a topological space is the collection of all neighbourhoods of x. Definitions Neighbou ...
.


Definition and basic properties

Given a topological space (X,\tau), a baseEngelking, p. 12 (or basis) for the topology \tau (also called a ''base for'' X if the topology is understood) is a family \mathcal\subseteq\tau of open sets such that every open set of the topology can be represented as the union of some subfamily of \mathcal.The
empty set In mathematics, the empty set is the unique set having no elements; its size or cardinality (count of elements in a set) is zero. Some axiomatic set theories ensure that the empty set exists by including an axiom of empty set, while in other ...
, which is always open, is the union of the empty family.
The elements of \mathcal are called ''basic open sets''. Equivalently, a family \mathcal of subsets of X is a base for the topology \tau if and only if \mathcal\subseteq\tau and for every open set U in X and point x\in U there is some basic open set B\in\mathcal such that x\in B\subseteq U. For example, the collection of all
open interval In mathematics, a (real) interval is a set of real numbers that contains all real numbers lying between any two numbers of the set. For example, the set of numbers satisfying is an interval which contains , , and all numbers in between. Other ...
s in the
real line In elementary mathematics, a number line is a picture of a graduated straight line (geometry), line that serves as visual representation of the real numbers. Every point of a number line is assumed to correspond to a real number, and every real ...
forms a base for the standard topology on the real numbers. More generally, in a metric space M the collection of all open balls about points of M forms a base for the topology. In general, a topological space (X,\tau) can have many bases. The whole topology \tau is always a base for itself (that is, \tau is a base for \tau). For the real line, the collection of all open intervals is a base for the topology. So is the collection of all open intervals with rational endpoints, or the collection of all open intervals with irrational endpoints, for example. Note that two different bases need not have any basic open set in common. One of the topological properties of a space X is the minimum
cardinality In mathematics, the cardinality of a set is a measure of the number of elements of the set. For example, the set A = \ contains 3 elements, and therefore A has a cardinality of 3. Beginning in the late 19th century, this concept was generalized ...
of a base for its topology, called the weight of X and denoted w(X). From the examples above, the real line has countable weight. If \mathcal is a base for the topology \tau of a space X, it satisfies the following properties:Willard, Theorem 5.3 :(B1) The elements of \mathcal '' cover'' X, i.e., every point x\in X belongs to some element of \mathcal. :(B2) For every B_1,B_2\in\mathcal and every point x\in B_1\cap B_2, there exists some B_3\in\mathcal such that x\in B_3\subseteq B_1\cap B_2. Property (B1) corresponds to the fact that X is an open set; property (B2) corresponds to the fact that B_1\cap B_2 is an open set. Conversely, suppose X is just a set without any topology and \mathcal is a family of subsets of X satisfying properties (B1) and (B2). Then \mathcal is a base for the topology that it generates. More precisely, let \tau be the family of all subsets of X that are unions of subfamilies of \mathcal. Then \tau is a topology on X and \mathcal is a base for \tau.Engelking, Proposition 1.2.1 (Sketch: \tau defines a topology because it is stable under arbitrary unions by construction, it is stable under finite intersections by (B2), it contains X by (B1), and it contains the empty set as the union of the empty subfamily of \mathcal. The family \mathcal is then a base for \tau by construction.) Such families of sets are a very common way of defining a topology. In general, if X is a set and \mathcal is an arbitrary collection of subsets of X, there is a (unique) smallest topology \tau on X containing \mathcal. (This topology is the
intersection In mathematics, the intersection of two or more objects is another object consisting of everything that is contained in all of the objects simultaneously. For example, in Euclidean geometry, when two lines in a plane are not parallel, their i ...
of all topologies on X containing \mathcal.) The topology \tau is called the topology generated by \mathcal, and \mathcal is called a subbase for \tau. The topology \tau can also be characterized as the set of all arbitrary unions of finite intersections of elements of \mathcal. (See the article about subbase.) Now, if \mathcal also satisfies properties (B1) and (B2), the topology generated by \mathcal can be described in a simpler way without having to take intersections: \tau is the set of all unions of elements of \mathcal (and \mathcal is base for \tau in that case). There is often an easy way to check condition (B2). If the intersection of any two elements of \mathcal is itself an element of \mathcal or is empty, then condition (B2) is automatically satisfied (by taking B_3=B_1\cap B_2). For example, the Euclidean topology on the plane admits as a base the set of all open rectangles with horizontal and vertical sides, and a nonempty intersection of two such basic open sets is also a basic open set. But another base for the same topology is the collection of all open disks; and here the full (B2) condition is necessary. An example of a collection of open sets that is not a base is the set S of all semi-infinite intervals of the forms (-\infty,a) and (a,\infty) with a\in\mathbb. The topology generated by S contains all open intervals (a,b)=(-\infty,b)\cap(a,\infty), hence S generates the standard topology on the real line. But S is only a subbase for the topology, not a base: a finite open interval (a,b) does not contain any element of S (equivalently, property (B2) does not hold).


Examples

The set of all open intervals in \mathbb forms a basis for the Euclidean topology on \mathbb. A non-empty family of subsets of a set that is closed under finite intersections of two or more sets, which is called a -system on , is necessarily a base for a topology on if and only if it covers . By definition, every σ-algebra, every filter (and so in particular, every neighborhood filter), and every topology is a covering -system and so also a base for a topology. In fact, if is a filter on then is a topology on and is a basis for it. A base for a topology does not have to be closed under finite intersections and many aren't. But nevertheless, many topologies are defined by bases that are also closed under finite intersections. For example, each of the following families of subset of is closed under finite intersections and so each forms a basis for ''some'' topology on \mathbb: * The set of all bounded open intervals in \mathbb generates the usual Euclidean topology on \mathbb. * The set of all bounded closed intervals in \mathbb generates the discrete topology on \mathbb and so the Euclidean topology is a subset of this topology. This is despite the fact that is not a subset of . Consequently, the topology generated by , which is the Euclidean topology on \mathbb, is coarser than the topology generated by . In fact, it is strictly coarser because contains non-empty compact sets which are never open in the Euclidean topology. * The set of all intervals in such that both endpoints of the interval are rational numbers generates the same topology as . This remains true if each instance of the symbol is replaced by . * generates a topology that is strictly coarser than the topology generated by . No element of is open in the Euclidean topology on \mathbb. * generates a topology that is strictly coarser than both the Euclidean topology and the topology generated by . The sets and are disjoint, but nevertheless is a subset of the topology generated by .


Objects defined in terms of bases

* The order topology on a totally ordered set admits a collection of open-interval-like sets as a base. * In a metric space the collection of all open balls forms a base for the topology. * The discrete topology has the collection of all singletons as a base. * A second-countable space is one that has a countable base. The Zariski topology on the
spectrum of a ring In commutative algebra, the prime spectrum (or simply the spectrum) of a ring ''R'' is the set of all prime ideals of ''R'', and is usually denoted by \operatorname; in algebraic geometry it is simultaneously a topological space equipped with the ...
has a base consisting of open sets that have specific useful properties. For the usual base for this topology, every finite intersection of basic open sets is a basic open set. * The Zariski topology of \C^n is the topology that has the algebraic sets as closed sets. It has a base formed by the set complements of algebraic hypersurfaces. * The Zariski topology of the
spectrum of a ring In commutative algebra, the prime spectrum (or simply the spectrum) of a ring ''R'' is the set of all prime ideals of ''R'', and is usually denoted by \operatorname; in algebraic geometry it is simultaneously a topological space equipped with the ...
(the set of the prime ideals) has a base such that each element consists of all prime ideals that do not contain a given element of the ring.


Theorems

* A topology \tau_2 is finer than a topology \tau_1 if and only if for each x\in X and each basic open set B of \tau_1 containing x, there is a basic open set of \tau_2 containing x and contained in B. * If \mathcal_1, \ldots, \mathcal_n are bases for the topologies \tau_1, \ldots, \tau_n then the collection of all set products B_1 \times \cdots \times B_n with each B_i\in\mathcal_i is a base for the product topology \tau_1 \times \cdots \times \tau_n. In the case of an infinite product, this still applies, except that all but finitely many of the base elements must be the entire space. * Let \mathcal be a base for X and let Y be a subspace of X. Then if we intersect each element of \mathcal with Y, the resulting collection of sets is a base for the subspace Y. * If a function f : X \to Y maps every basic open set of X into an open set of Y, it is an
open map 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 f : X \to Y is open if for any open set U in X, the image f(U) is open in Y. Likewise, a ...
. Similarly, if every preimage of a basic open set of Y is open in X, then f is continuous. * \mathcal is a base for a topological space X if and only if the subcollection of elements of \mathcal which contain x form a local base at x, for any point x\in X.


Base for the closed sets

Closed set 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 cl ...
s are equally adept at describing the topology of a space. There is, therefore, a dual notion of a base for the closed sets of a topological space. Given a topological space X, a family \mathcal of closed sets forms a base for the closed sets if and only if for each closed set A and each point x not in A there exists an element of \mathcal containing A but not containing x. A family \mathcal is a base for the closed sets of X if and only if its in X, that is the family \ of complements of members of \mathcal, is a base for the open sets of X. Let \mathcal be a base for the closed sets of X. Then #\bigcap \mathcal = \varnothing #For each C_1, C_2 \in \mathcal the union C_1 \cup C_2 is the intersection of some subfamily of \mathcal (that is, for any x \in X not in C_1 \text C_2 there is some C_3 \in \mathcal containing C_1 \cup C_2 and not containing x). Any collection of subsets of a set X satisfying these properties forms a base for the closed sets of a topology on X. The closed sets of this topology are precisely the intersections of members of \mathcal. In some cases it is more convenient to use a base for the closed sets rather than the open ones. For example, a space is completely regular if and only if the zero sets form a base for the closed sets. Given any topological space X, the zero sets form the base for the closed sets of some topology on X. This topology will be the finest completely regular topology on X coarser than the original one. In a similar vein, the Zariski topology on A''n'' is defined by taking the zero sets of polynomial functions as a base for the closed sets.


Weight and character

We shall work with notions established in . Fix ''X'' a topological space. Here, a network is a family \mathcal of sets, for which, for all points ''x'' and open neighbourhoods ''U'' containing ''x'', there exists ''B'' in \mathcal for which x \in B \subseteq U. Note that, unlike a basis, the sets in a network need not be open. We define the weight, ''w''(''X''), as the minimum cardinality of a basis; we define the network weight, ''nw''(''X''), as the minimum cardinality of a network; the character of a point, \chi(x,X), as the minimum cardinality of a neighbourhood basis for ''x'' in ''X''; and the character of ''X'' to be \chi(X)\triangleq\sup\. The point of computing the character and weight is to be able to tell what sort of bases and local bases can exist. We have the following facts: * ''nw''(''X'') ≤ ''w''(''X''). * if ''X'' is discrete, then ''w''(''X'') = ''nw''(''X'') = , ''X'', . * if ''X'' is Hausdorff, then ''nw''(''X'') is finite if and only if ''X'' is finite discrete. * if ''B'' is a basis of ''X'' then there is a basis B'\subseteq B of size , B', \leq w(X). * if ''N'' a neighbourhood basis for ''x'' in ''X'' then there is a neighbourhood basis N'\subseteq N of size , N', \leq \chi(x,X). * if f : X \to Y is a continuous surjection, then ''nw''(''Y'') ≤ ''w''(''X''). (Simply consider the ''Y''-network fB \triangleq \ for each basis ''B'' of ''X''.) * if (X,\tau) is Hausdorff, then there exists a weaker Hausdorff topology (X,\tau') so that w(X,\tau')\leq nw(X,\tau). So ''a fortiori'', if ''X'' is also compact, then such topologies coincide and hence we have, combined with the first fact, ''nw''(''X'') = ''w''(''X''). * if f : X \to Y a continuous surjective map from a compact metrizable space to an Hausdorff space, then ''Y'' is compact metrizable. The last fact follows from ''f''(''X'') being compact Hausdorff, and hence nw(f(X))=w(f(X))\leq w(X)\leq\aleph_0 (since compact metrizable spaces are necessarily second countable); as well as the fact that compact Hausdorff spaces are metrizable exactly in case they are second countable. (An application of this, for instance, is that every path in a Hausdorff space is compact metrizable.)


Increasing chains of open sets

Using the above notation, suppose that ''w''(''X'') ≤ ''κ'' some infinite cardinal. Then there does not exist a strictly increasing sequence of open sets (equivalently strictly decreasing sequence of closed sets) of length ≥ ''κ''+. To see this (without the axiom of choice), fix \left \_, as a basis of open sets. And suppose ''per contra'', that \left \_ were a strictly increasing sequence of open sets. This means \forall \alpha<\kappa^+: \qquad V_\setminus\bigcup_ V_ \neq \varnothing. For x\in V_\setminus\bigcup_V_, we may use the basis to find some ''Uγ'' with ''x'' in ''Uγ'' ⊆ ''Vα''. In this way we may well-define a map, ''f'' : ''κ''+ → ''κ'' mapping each ''α'' to the least ''γ'' for which ''Uγ'' ⊆ ''Vα'' and meets V_ \setminus \bigcup_ V_. This map is injective, otherwise there would be ''α'' < ''β'' with ''f''(''α'') = ''f''(''β'') = ''γ'', which would further imply ''Uγ'' ⊆ ''Vα'' but also meets V_ \setminus \bigcup_ V_ \subseteq V_ \setminus V_, which is a contradiction. But this would go to show that ''κ''+ ≤ ''κ'', a contradiction.


See also

*
Esenin-Volpin's theorem In mathematics, Esenin-Volpin's theorem states that weight of an infinite compact dyadic space In mathematics, a dyadic compactum is a Hausdorff topological space that is the continuous image of a product of discrete two-point spaces, and a dya ...
* Gluing axiom * Neighbourhood system


Notes


References


Bibliography

* * * * * * {{refend General topology