Monotonically normal space

In mathematics, specifically in the field of topology, a monotonically normal space is a particular kind of normal space, defined in terms of a monotone normality operator. It satisfies some interesting properties; for example metric spaces and linearly ordered spaces are monotonically normal, and every monotonically normal space is hereditarily normal.

Definition

A topological space $X$ is called monotonically normal if it satisfies any of the following equivalent definitions:

Definition 1

The space $X$ is T₁ and there is a function $G$ that assigns to each ordered pair $(A,B)$ of disjoint closed sets in $X$ an open set $G(A,B)$ such that:

(i) $A\subseteq G(A,B)\subseteq {\overline {G(A,B)}}\subseteq X\setminus B$;

(ii) $G(A,B)\subseteq G(A',B')$ whenever $A\subseteq A'$ and $B'\subseteq B$.

Condition (i) says $X$ is a normal space, as witnessed by the function $G$. Condition (ii) says that $G(A,B)$ varies in a monotone fashion, hence the terminology monotonically normal. The operator $G$ is called a monotone normality operator.

One can always choose $G$ to satisfy the property

$G(A,B)\cap G(B,A)=\emptyset$,

by replacing each $G(A,B)$ by $G(A,B)\setminus {\overline {G(B,A)}}$.

Definition 2

The space $X$ is T₁ and there is a function $G$ that assigns to each ordered pair $(A,B)$ of separated sets in $X$ (that is, such that $A\cap {\overline {B}}=B\cap {\overline {A}}=\emptyset$) an open set $G(A,B)$ satisfying the same conditions (i) and (ii) of Definition 1.

Definition 3

The space $X$ is T₁ and there is a function $\mu$ that assigns to each pair $(x,U)$ with $U$ open in $X$ and $x\in U$ an open set $\mu (x,U)$ such that:

(i) $x\in \mu (x,U)$;

(ii) if $\mu (x,U)\cap \mu (y,V)\neq \emptyset$, then $x\in V$ or $y\in U$.

Such a function $\mu$ automatically satisfies

$x\in \mu (x,U)\subseteq {\overline {\mu (x,U)}}\subseteq U$.

(Reason: Suppose $y\in X\setminus U$. Since $X$ is T₁, there is an open neighborhood $V$ of $y$ such that $x\notin V$. By condition (ii), $\mu (x,U)\cap \mu (y,V)=\emptyset$, that is, $\mu (y,V)$ is a neighborhood of $y$ disjoint from $\mu (x,U)$. So $y\notin {\overline {\mu (x,U)}}$.)

Definition 4

Let ${\mathcal {B}}$ be a base for the topology of $X$. The space $X$ is T₁ and there is a function $\mu$ that assigns to each pair $(x,U)$ with $U\in {\mathcal {B}}$ and $x\in U$ an open set $\mu (x,U)$ satisfying the same conditions (i) and (ii) of Definition 3.

Definition 5

The space $X$ is T₁ and there is a function $\mu$ that assigns to each pair $(x,U)$ with $U$ open in $X$ and $x\in U$ an open set $\mu (x,U)$ such that:

(i) $x\in \mu (x,U)$;

(ii) if $U$ and $V$ are open and $x\in U\subseteq V$, then $\mu (x,U)\subseteq \mu (x,V)$;

(iii) if $x$ and $y$ are distinct points, then $\mu (x,X\setminus \{y\})\cap \mu (y,X\setminus \{x\})=\emptyset$.

Such a function $\mu$ automatically satisfies all conditions of Definition 3.

Examples

• Every metrizable space is monotonically normal.
• Every linearly ordered topological space (LOTS) is monotonically normal. This is assuming the Axiom of Choice, as without it there are examples of LOTS that are not even normal.
• The Sorgenfrey line is monotonically normal. This follows from Definition 4 by taking as a base for the topology all intervals of the form $[a,b)$ and for $x\in [a,b)$ by letting $\mu (x,[a,b))=[x,b)$. Alternatively, the Sorgenfrey line is monotonically normal because it can be embedded as a subspace of a LOTS, namely the double arrow space.
• Any generalised metric is monotonically normal.

Properties

• Monotone normality is a hereditary property: Every subspace of a monotonically normal space is monotonically normal.
• Every monotonically normal space is completely normal Hausdorff (or T₅).
• Every monotonically normal space is hereditarily collectionwise normal.
• The image of a monotonically normal space under a continuous closed map is monotonically normal.
• A compact Hausdorff space $X$ is the continuous image of a compact linearly ordered space if and only if $X$ is monotonically normal.