Monotonically normal space

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Short description: Property of topological spaces stronger than normality

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:[1][2][3][4]

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) AG(A,B)G(A,B)XB;
(ii) G(A,B)G(A,B) whenever AA and BB.

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)G(B,A)=,

by replacing each G(A,B) by G(A,B)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 AB=BA=) 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 μ that assigns to each pair (x,U) with U open in X and xU an open set μ(x,U) such that:

(i) xμ(x,U);
(ii) if μ(x,U)μ(y,V), then xV or yU.

Such a function μ automatically satisfies

xμ(x,U)μ(x,U)U.

(Reason: Suppose yXU. Since X is T1, there is an open neighborhood V of y such that xV. By condition (ii), μ(x,U)μ(y,V)=, that is, μ(y,V) is a neighborhood of y disjoint from μ(x,U). So yμ(x,U).)[5]

Definition 4

Let be a base for the topology of X. The space X is T1 and there is a function μ that assigns to each pair (x,U) with U and xU an open set μ(x,U) satisfying the same conditions (i) and (ii) of Definition 3.

Definition 5

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

(i) xμ(x,U);
(ii) if U and V are open and xUV, then μ(x,U)μ(x,V);
(iii) if x and y are distinct points, then μ(x,X{y})μ(y,X{x})=.

Such a function μ automatically satisfies all conditions of Definition 3.

Examples

  • Every metrizable space is monotonically normal.[4]
  • Every linearly ordered topological space (LOTS) is monotonically normal.[6][4] This is assuming the Axiom of Choice, as without it there are examples of LOTS that are not even normal.[7]
  • The Sorgenfrey line is monotonically normal.[4] This follows from Definition 4 by taking as a base for the topology all intervals of the form [a,b) and for x[a,b) by letting μ(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.[8]
  • The image of a monotonically normal space under a continuous closed map is monotonically normal.[9]
  • A compact Hausdorff space X is the continuous image of a compact linearly ordered space if and only if X is monotonically normal.[10][3]

References

  1. Heath, R. W.; Lutzer, D. J.; Zenor, P. L. (April 1973). "Monotonically Normal Spaces". Transactions of the American Mathematical Society 178: 481–493. doi:10.2307/1996713. https://www.ams.org/tran/1973-178-00/S0002-9947-1973-0372826-2/S0002-9947-1973-0372826-2.pdf. 
  2. Borges, Carlos R. (March 1973). "A Study of Monotonically Normal Spaces". Proceedings of the American Mathematical Society 38 (1): 211–214. doi:10.2307/2038799. https://www.ams.org/proc/1973-038-01/S0002-9939-1973-0324644-4/S0002-9939-1973-0324644-4.pdf. 
  3. 3.0 3.1 Bennett, Harold; Lutzer, David (2015). "Mary Ellen Rudin and monotone normality". Topology and Its Applications 195: 50–62. doi:10.1016/j.topol.2015.09.021. https://www.sciencedirect.com/science/article/pii/S0166864115003946/pdfft?md5=03a782ebd040aefa11d033e4ebe31e88&pid=1-s2.0-S0166864115003946-main.pdf. 
  4. 4.0 4.1 4.2 4.3 Brandsma, Henno. "monotone normality, linear orders and the Sorgenfrey line". http://at.yorku.ca/b/ask-a-topologist/2003/0383.htm. 
  5. Zhang, Hang; Shi, Wei-Xue (2012). "Monotone normality and neighborhood assignments". Topology and Its Applications 159 (3): 603–607. doi:10.1016/j.topol.2011.10.007. https://www.sciencedirect.com/science/article/pii/S0166864111004664/pdf?md5=fd8e6c9493d1c1097662ece3609d49c3&pid=1-s2.0-S0166864111004664-main.pdf. 
  6. Heath, Lutzer, Zenor, Theorem 5.3
  7. van Douwen, Eric K. (September 1985). "Horrors of Topology Without AC: A Nonnormal Orderable Space". Proceedings of the American Mathematical Society 95 (1): 101–105. doi:10.2307/2045582. https://www.ams.org/proc/1985-095-01/S0002-9939-1985-0796455-5/S0002-9939-1985-0796455-5.pdf. 
  8. Heath, Lutzer, Zenor, Theorem 3.1
  9. Heath, Lutzer, Zenor, Theorem 2.6
  10. Rudin, Mary Ellen (2001). "Nikiel's conjecture". Topology and Its Applications 116 (3): 305–331. doi:10.1016/S0166-8641(01)00218-8. https://www.sciencedirect.com/science/article/pii/S0166864101002188/pdf?md5=9558d29000bd32218f70f02c2d63883a&pid=1-s2.0-S0166864101002188-main.pdf.