In the mathematical field of topology, a uniform space is a set with a uniform structure. Uniform spaces are topological spaces with additional structure which is used to define uniform properties such as completeness, uniform continuity and uniform convergence.
The conceptual difference between uniform and topological structures is that in a uniform space, one can formalize certain notions of relative closeness and closeness of points. In other words, ideas like "x is closer to a than y is to b" make sense in uniform spaces. By comparison, in a general topological space, given sets A,B it is meaningful to say that a point x is arbitrarily close to A (i.e., in the closure of A), or perhaps that A is a smaller neighborhood of x than B, but notions of closeness of points and relative closeness are not described well by topological structure alone.
Uniform spaces generalize metric spaces and topological groups and therefore underlie most of analysis.
Contents 
There are three equivalent definitions for a uniform structure.
A uniform space (X, Φ) is a set X equipped with a nonempty family Φ of subsets of the Cartesian product X × X (Φ is called the uniform structure or uniformity of X and its elements entourages (French: neighborhoods or surroundings)) that satisfy the following axioms:
If the last property is omitted we call the space quasiuniform.
One usually writes U[x]={y : (x,y)∈U}. On a graph, a typical entourage is drawn as a blob surrounding the "y=x" diagonal; the U[x]’s are then the vertical crosssections. If (x,y) ∈ U, one says that x and y are Uclose. Similarly, if all pairs of points in a subset A of X are Uclose (i.e., if A × A is contained in U), A is called Usmall. An entourage U is symmetric if (x,y) ∈ U precisely when (y,x) ∈ U. The first axiom states that each point is Uclose to itself for each entourage U. The third axiom guarantees that being "both Uclose and Vclose" is also a closeness relation in the uniformity. The fourth axiom states that for each entourage U there is an entourage V which is "half as large". Finally, the last axiom states the essentially symmetric property "closeness" with respect to a uniform structure.
A fundamental system of entourages of a uniformity Φ is any set B of entourages of Φ such that every entourage of Ф contains a set belonging to B. Thus, by property 2 above, a fundamental systems of entourages B is enough to specify the uniformity Φ unambiguously: Φ is the set of subsets of X × X that contain a set of B. Every uniform space has a fundamental system of entourages consisting of symmetric entourages.
The right intuition about uniformities is provided by the example of metric spaces: if (X,d) is a metric space, the sets
form a fundamental system of entourages for the standard uniform structure of X. Then x and y are U_{a}close precisely when the distance between x and y is at most a.
A uniformity Φ is finer than another uniformity Ψ on the same set if Φ ⊇ Ψ; in that case Ψ is said to be coarser than Φ.
Uniform spaces may be defined alternatively and equivalently using systems of pseudometrics, an approach which is particularly useful in functional analysis (with pseudometrics provided by seminorms). More precisely, let f: X × X → R be a pseudometric on a set X. The inverse images U_{a} = f ^{–1}([0,a]) for a > 0 can be shown to form a fundamental system of entourages of a uniformity. The uniformity generated by the U_{a} is the uniformity defined by the single pseudometric f. Certain authors call spaces the topology of which is defined in terms of pseudometrics gauge spaces.
For a family (f_{i}) of pseudometrics on X, the uniform structure defined by the family is the least upper bound of the uniform structures defined by the individual pseudometrics f_{i}. A fundamental system of entourages of this uniformity is provided by the set of finite intersections of entourages of the uniformities defined by the individual pseudometrics f_{i}. If the family of pseudometrics is finite, it can be seen that the same uniform structure is defined by a single pseudometric, namely the upper envelope sup f_{i} of the family.
Less trivially, it can be shown that a uniform structure that admits a countable fundamental system of entourages (and hence in particular a uniformity defined by a countable family of pseudometrics) can be defined by a single pseudometric. A consequence is that any uniform structure can be defined as above by a (possibly uncountable) family of pseudometrics (see Bourbaki: General Topology Chapter IX §1 no. 4).
A uniform space (X,Θ) is a set X equipped with a distinguished family of uniform covers Θ from the set of coverings of X, forming a filter when ordered by star refinement. One says cover P is a star refinement of cover Q, written P <* Q, if for every A ∈ P, there is a U ∈ Q such that if A ∩ B ≠ ø, B ∈ P, then B ⊆ U. Axiomatically, this reduces to:
Given a point x and a uniform cover P, one can consider the union of the members of P that contain x as a typical neighbourhood of x of "size" P, and this intuitive measure applies uniformly over the space.
Given a uniform space in the entourage sense, define a cover P to be uniform if there is some entourage U such that for each x ∈ X, there is an A ∈ P such that U[x] ⊆ A. These uniform covers form a uniform space as in the second definition. Conversely, given a uniform space in the uniform cover sense, the supersets of ⋃{A × A : A ∈ P}, as P ranges over the uniform covers, are the entourages for a uniform space as in the first definition. Moreover, these two transformations are inverses of each other.
Every uniform space X becomes a topological space by defining a subset O of X to be open if and only if for every x in O there exists an entourage V such that V[x] is a subset of O. In this topology, the neighbourhood filter of a point x is {V[x] : V∈Φ}. This can be proved with a recursive use of the existence of a "halfsize" entourage. Compared to a general topological space the existence of the uniform structure makes possible the comparison of sizes of neighbourhoods: V[x] and V[y] are considered to be of the "same size".
The topology defined by a uniform structure is said to be induced by the uniformity. A uniform structure on a topological space is compatible with the topology if the topology defined by the uniform structure coincides with the original topology. In general several different uniform structures can be compatible with a given topology on X.
A topological space is called uniformizable if there is a uniform structure compatible with the topology.
Every uniformizable space is a completely regular topological space. Moreover, for a uniformizable space X the following are equivalent:
The topology of a uniformizable space is always a symmetric topology; that is, the space is an R_{0}space.
Conversely, each completely regular space is uniformizable. A uniformity compatible with the topology of a completely regular space X can be defined as the coarsest uniformity which makes all continuous realvalued functions on X uniformly continuous. A fundamental system of entourages for this uniformity is provided by all finite intersections of sets (f × f)^{1}(V), where f is a continuous realvalued function on X and V is an entourage of the uniform space R. This uniformity defines a topology, which is clearly coarser than the original topology of X; that it is also finer than the original topology (hence coincides with it) is a simple consequence of complete regularity: for any x ∈ X and a neighbourhood V of x, there is a continuous realvalued function f with f(x)=0 and equal to 1 in the complement of V.
In particular, a compact Hausdorff space is uniformizable. In fact, for a compact Hausdorff space X the set of all neighbourhoods of the diagonal in X × X form the unique uniformity compatible with the topology.
A Hausdorff uniform space is metrizable if its uniformity can be defined by a countable family of pseudometrics. Indeed, as discussed above, such a uniformity can be defined by a single pseudometric, which is necessarily a metric if the space is Hausdorff. In particular, if the topology of a vector space is Hausdorff and definable by a countable family of seminorms, it is metrizable.
Similar to continuous functions between topological spaces, which preserve topological properties, are the uniform continuous functions between uniform spaces, which preserve uniform properties. Uniform spaces with uniform maps form a category. An isomorphism between uniform spaces is called a uniform isomorphism.
A uniformly continuous function is defined as one where inverse images of entourages are again entourages, or equivalently, one where the inverse images of uniform covers are again uniform covers.
All uniformly continuous functions are continuous with respect to the induced topologies.
Generalising the notion of complete metric space, one can also define completeness for uniform spaces. Instead of working with Cauchy sequences, one works with Cauchy filters (or Cauchy nets).
A Cauchy filter F on a uniform space X is a filter F such that for every entourage U, there exists A∈F with A×A ⊆ U. In other words, a filter is Cauchy if it contains "arbitrarily small" sets. It follows from the definitions that each filter that converges (with respect to the topology defined by the uniform structure) is a Cauchy filter. A Cauchy filter is called minimal if it contains no smaller (i.e., coarser) Cauchy filter (other than itself). It can be shown that every Cauchy filter contains a unique minimal Cauchy filter. The neighbourhood filter of each point (the filter consisting of all neighbourhoods of the point) is a minimal Cauchy filter.
Conversely, a uniform space is called complete if every Cauchy filter converges. Any compact Hausdorff space is a complete uniform space with respect to the unique uniformity compatible with the topology.
Complete uniform space enjoy the following important property: if f: A → Y is a uniformly continuous function from a dense subset A of a uniform space X into a complete uniform space Y, then f can be extended (uniquely) into a uniformly continuous function on all of X.
As with metric spaces, every uniform space X has a Hausdorff completion: that is, there exists a complete Hausdorff uniform space Y and a uniformly continuous map i: X → Y with the following property:
The Hausdorff completion Y is unique up to isomorphism. As a set, Y can be taken to consist of the minimal Cauchy filters on X. As the neighbourhood filter B(x) of each point x in X is a minimal Cauchy filter, the map i can be defined by mapping x to B(x). The map i thus defined is in general not injective; in fact, the graph of the equivalence relation i(x) = i(x ') is the intersection of all entourages of X, and thus i is injective precisely when X is Hausdorff.
The uniform structure on Y is defined as follows: for each symmetric entourage V (i.e., such that (x,y) is in V precisely when (y,x) is in V), let C(V) be the set of all pairs (F,G) of minimal Cauchy filters which have in common at least one Vsmall set. The sets C(V) can be shown to form a fundamental system of entourages; Y is equipped with the uniform structure thus defined.
The set i(X) is then a dense subset of Y. If X is Hausdorff, then i is an isomorphism onto i(X), and thus X can be identified with a dense subset of its completion. Moreover, i(X) is always Hausdorff; it is called the Hausdorff uniform space associated with X. If R denotes the equivalence relation i(x) = i(x '), then the quotient space X/R is homeomorphic to i(X).
This uniform structure on M generates the usual metric space topology on M. However, different metric spaces can have the same uniform structure (trivial example is provided by a constant multiple of a metric). This uniform structure produces also equivalent definitions of uniform continuity and completeness for metric spaces.
Before André Weil gave the first explicit definition of a uniform structure in 1937, uniform concepts, like completeness, were discussed using metric spaces. Nicolas Bourbaki provided the definition of uniform structure in terms of entourages in the book Topologie Générale and John Tukey gave the uniform cover definition. Weil also characterized uniform spaces in terms of a family of pseudometrics.
