Base (topology)
In mathematics, a base of a topology on a set is a collection of subsets of such that every finite intersection of elements of is a union of elements of. A base defines a topology on that has, as open sets, all unions of elements of.
Bases have been introduced because some topologies have a base consisting of open sets that have specific useful properties. This is typically the case for the Zariski topology on the spectrum of a ring. For the usual basis of this topology, every finite intersection of basis elements is a basis element. Therefore bases are sometimes required to be stable by finite intersection.
Definition and basic properties
A base is a collection B of subsets of X satisfying the following properties:- The base elements cover X.
- Let B1, B2 be base elements and let I be their intersection. Then for each x in I, there is a base element B3 containing x such that B3 is subset of I.
If a collection B of subsets of X fails to satisfy these properties, then it is not a base for any topology on X. Conversely, if B satisfies these properties, then there is a unique topology on X for which B is a base; it is called the topology generated by B. This is a very common way of defining topologies. A sufficient but not necessary condition for B to generate a topology on X is that B is closed under intersections; then we can always take B3 = I above.
For example, the collection of all open intervals in the real line forms a base for a topology on the real line because the intersection of any two open intervals is itself an open interval or empty.
In fact they are a base for the standard topology on the real numbers.
However, a base is not unique. Many different bases, even of different sizes, may generate the same topology. For example, the open intervals with rational endpoints are also a base for the standard real topology, as are the open intervals with irrational endpoints, but these two sets are completely disjoint and both properly contained in the base of all open intervals. In contrast to a basis of a vector space in linear algebra, a base need not be maximal; indeed, the only maximal base is the topology itself. In fact, any open set generated by a base may be safely added to the base without changing the topology. The smallest possible cardinality of a base is called the weight of the topological space.
An example of a collection of open sets which is not a base is the set S of all semi-infinite intervals of the forms and, where a is a real number. Then S is not a base for any topology on R. To show this, suppose it were. Then, for example, and would be in the topology generated by S, being unions of a single base element, and so their intersection would be as well. But clearly cannot be written as a union of elements of S. Using the alternate definition, the second property fails, since no base element can "fit" inside this intersection.
Given a base for a topology, in order to prove convergence of a net or sequence it is sufficient to prove that it is eventually in every set in the base which contains the putative limit.
Objects defined in terms of bases
- The order topology is usually defined as the topology generated by a collection of open-interval-like sets.
- The metric topology is usually defined as the topology generated by a collection of open balls.
- A second-countable space is one that has a countable base.
- The discrete topology has the singletons as a base.
- The profinite topology on a group is defined by taking the collection of all normal subgroups of finite index as a basis of open neighborhoods of the identity.
- The Zariski topology of is the topology that has the algebraic sets as closed sets. It has a basis formed by the set complements of algebraic hypersurfaces.
- The Zariski topology of the spectrum of a ring has a basis such that each element consists of all prime ideals that do not contain a given element of the ring.
Theorems
- For each point x in an open set U, there is a base element containing x and contained in U.
- A topology T2 is finer than a topology T1 if and only if for each x and each base element B of T1 containing x, there is a base element of T2 containing x and contained in B.
- If B1,B2,...,Bn are bases for the topologies T1,T2,...,Tn, then the set product B1 × B2 ×... × Bn is a base for the product topology T1 × T2 ×... × Tn. 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 B be a base for X and let Y be a subspace of X. Then if we intersect each element of B with Y, the resulting collection of sets is a base for the subspace Y.
- If a function f : X → Y maps every base element of X into an open set of Y, it is an open map. Similarly, if every preimage of a base element of Y is open in X, then f is continuous.
- A collection of subsets of X is a topology on X if and only if it generates itself.
- B is a basis for a topological space X if and only if the subcollection of elements of B which contain x form a local base at x, for any point x of X.
Base for the closed sets
It is easy to check that F is a base for the closed sets of X if and only if the family of complements of members of F is a base for the open sets of X.
Let F be a base for the closed sets of X. Then
- ∩F = ∅
- For each F1 and F2 in F the union F1 ∪ F2 is the intersection of some subfamily of F.
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 An 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 of sets, for which, for all points x and open neighbourhoods U containing x, there exists B in for which x ∈ B ⊆ U. Note that, unlike a basis, the sets in a network need not be open.
We define the weight, w, as the minimum cardinality of a basis; we define the network weight, nw, as the minimum cardinality of a network; the character of a point,, as the minimum cardinality of a neighbourhood basis for x in X; and the character of X to be
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 ≤ w.
- if X is discrete, then w = nw = |X|.
- if X is Hausdorff, then nw is finite iff X is finite discrete.
- if B is a basis of X then there is a basis of size.
- if N a neighbourhood basis for x in X then there is a neighbourhood basis of size.
- if f : X → Y is a continuous surjection, then nw ≤ w.
- if is Hausdorff, then there exists a weaker Hausdorff topology so that. So a fortiori, if X is also compact, then such topologies coincide and hence we have, combined with the first fact, nw = w.
- if f : X → Y a continuous surjective map from a compact metrisable space to an Hausdorff space, then Y is compact metrisable.
Increasing chains of open sets
Using the above notation, suppose that w ≤ κ some infinite cardinal. Then there does not exist a strictly increasing sequence of open sets of length ≥ κ+.To see this, fix
as a basis of open sets. And suppose per contra, that
were a strictly increasing sequence of open sets. This means
For
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
This map is injective, otherwise there would be α < β with f = f = γ, which would further imply Uγ ⊆ Vα but also meets
which is a contradiction. But this would go to show that κ+ ≤ κ, a contradiction.