In mathematics, a monotonically normal space is a particular kind of normal space, with some special characteristics, and is such that it is hereditarily normal, and any two separated subsets are strongly separated. They are defined in terms of a monotone normality operator.
Contents
A
For every
-
x ∈ μ ( x , G ) ⊆ G - if
μ ( x , G ) ∩ μ ( y , H ) ≠ ∅ then eitherx ∈ H ory ∈ G .
There are some equivalent criteria of monotone normality.
Definition 2
A space X is called monotonically normal if it is
-
A ⊆ G ( A , B ) ⊆ G ( A , B ) − ⊆ X ∖ B and -
G ( A , B ) ⊆ G ( A ′ , B ′ ) , wheneverA ⊆ A ′ B ′ ⊆ B .
This operator
Note that if G is a monotone normality operator, then
For this reason we some time take the monotone normality operator so as to satisfy the above requirement; and that facilitates the proof of some theorems and of the equivalence of the definitions as well.
Definition 3
A space X is called monotonically normal if it is
-
A ⊆ G ( A , B ) ⊆ G ( A , B ) − ⊆ X ∖ B , -
G ( A , B ) ⊆ G ( A ′ , B ′ ) whenever A ⊆ A ′ and B ′ ⊆ B .
Definition 4
A space X is called monotonically normal if it is
-
p ∈ H ( p , C ) ⊆ X ∖ C - if D is closed and
p ∉ C ⊇ D thenH ( p , C ) ⊆ H ( p , D ) - if
p ≠ q are points in X, thenH ( p , { q } ) ∩ H ( q , { p } ) = ∅ .
Properties
An important example of these spaces would be, assuming Axiom of Choice, the linearly ordered spaces; however, it really needs axiom of choice for an arbitrary linear order to be normal (see van Douwen's paper). Any generalised metric is monotonically normal even without choice. An important property of monotonically normal spaces is that any two separated subsets are strongly separated there. Monotone normality is hereditary property and a monotonically normal space is always normal by the first condition of the second equivalent definition.
We list up some of the properties :
- A closed map preserves monotone normality.
- A monotonically normal space is hereditarily collectionwise normal.
- Elastic spaces are monotonically normal.