In mathematics, a pseudometric space is a generalization of a metric space in which the distance between two distinct points can be zero. Pseudometric spaces were introduced by Đuro Kurepa in 1934. In the same way as every normed space is a metric space, every seminormed space is a pseudometric space. Because of this analogy, the term semimetric space (which has a different meaning in topology) is sometimes used as a synonym, especially in functional analysis.
When a topology is generated using a family of pseudometrics, the space is called a gauge space.
Definition
A pseudometric space <math>(X,d)</math> is a set <math>X</math> together with a non-negative real-valued function <math>d : X \times X \longrightarrow \R_{\geq 0},</math> called a , such that for every <math>x, y, z \in X,</math>
- <math>d(x,x) = 0.</math>
- Symmetry: <math>d(x,y) = d(y,x)</math>
- Subadditivity/Triangle inequality: <math>d(x,z) \leq d(x,y) + d(y,z)</math>
Unlike a metric space, points in a pseudometric space need not be distinguishable; that is, one may have <math>d(x, y) = 0</math> for distinct values <math>x \neq y.</math>
It worth while noting that Symmetry and classical Triangle inequality can be replaced with single modified Triangle one:
<math>d(x,y) \leq d(x,z) + d(y,z)</math>.
This inequality combines symmetry and classical Triangle inequality.
Examples
Any metric space is a pseudometric space.
Pseudometrics arise naturally in functional analysis. Consider the space <math>\mathcal{F}(X)</math> of real-valued functions <math>f : X \to \R</math> together with a special point <math>x_0 \in X.</math> This point then induces a pseudometric on the space of functions, given by <math display=block>d(f,g) = \left|f(x_0) - g(x_0)\right|</math> for <math>f, g \in \mathcal{F}(X)</math>
A seminorm <math>p</math> induces the pseudometric <math>d(x, y) = p(x - y)</math>. This is a convex function of an affine function of <math>x</math> (in particular, a translation), and therefore convex in <math>x</math>. (Likewise for <math>y</math>.)
Conversely, a homogeneous, translation-invariant pseudometric induces a seminorm.
Pseudometrics also arise in the theory of hyperbolic complex manifolds: see Kobayashi metric.
Every measure space <math>(\Omega,\mathcal{A},\mu)</math> can be viewed as a complete pseudometric space by defining <math display=block>d(A,B) := \mu(A \vartriangle B)</math> for all <math>A, B \in \mathcal{A},</math> where the triangle denotes symmetric difference.
If <math>f : X_1 \to X_2</math> is a function and d<sub>2</sub> is a pseudometric on X<sub>2</sub>, then <math>d_1(x, y) := d_2(f(x), f(y))</math> gives a pseudometric on X<sub>1</sub>. If d<sub>2</sub> is a metric and f is injective, then d<sub>1</sub> is a metric.
Topology
The is the topology generated by the open balls
<math display=block>B_r(p) = \{x \in X : d(p, x) < r\},</math>
which form a basis for the topology. A topological space is said to be a if the space can be given a pseudometric such that the pseudometric topology coincides with the given topology on the space.
The difference between pseudometrics and metrics is entirely topological. That is, a pseudometric is a metric if and only if the topology it generates is T<sub>0</sub> (that is, distinct points are topologically distinguishable).
The definitions of Cauchy sequences and metric completion for metric spaces carry over to pseudometric spaces unchanged.
Metric identification
The vanishing of the pseudometric induces an equivalence relation, called the metric identification, that converts the pseudometric space into a full-fledged metric space. This is done by defining <math>x\sim y</math> if <math>d(x,y)=0</math>. Let <math>X^* = X/{\sim}</math> be the quotient space of <math>X</math> by this equivalence relation and define
<math display=block>\begin{align}
d^*:(X/\sim)&\times (X/\sim) \longrightarrow \R_{\geq 0} \\
d^*([x],[y])&=d(x,y)
\end{align}</math>
This is well defined because for any <math>x' \in [x]</math> we have that <math>d(x, x') = 0</math> and so <math>d(x', y) \leq d(x, x') + d(x, y) = d(x, y)</math> and vice versa. Then <math>d^*</math> is a metric on <math>X^*</math> and <math>(X^*,d^*)</math> is a well-defined metric space, called the metric space induced by the pseudometric space <math>(X, d)</math>.
The metric identification preserves the induced topologies. That is, a subset <math>A \subseteq X</math> is open (or closed) in <math>(X, d)</math> if and only if <math>\pi(A) = [A]</math> is open (or closed) in <math>\left(X^*, d^*\right)</math> and <math>A</math> is saturated. The topological identification is the Kolmogorov quotient.
An example of this construction is the completion of a metric space by its Cauchy sequences.
Properties
- In a pseudometric space, the set of all points (say, X) which are of distance 0 relative to another set Y in the space is the closure of Y, or cl(Y) = x.