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In mathematics, the concept of a generalised metric is a generalisation of that of a
metric Metric or metrical may refer to: * Metric system, an internationally adopted decimal system of measurement * An adjective indicating relation to measurement in general, or a noun describing a specific type of measurement Mathematics In mathem ...
, in which the distance is not a
real number In mathematics, a real number is a number that can be used to measurement, measure a ''continuous'' one-dimensional quantity such as a distance, time, duration or temperature. Here, ''continuous'' means that values can have arbitrarily small var ...
but taken from an arbitrary
ordered field In mathematics, an ordered field is a field together with a total ordering of its elements that is compatible with the field operations. The basic example of an ordered field is the field of real numbers, and every Dedekind-complete ordered fie ...
. In general, when we define
metric space In mathematics, a metric space is a set together with a notion of '' distance'' between its elements, usually called points. The distance is measured by a function called a metric or distance function. Metric spaces are the most general sett ...
the distance function is taken to be a real-valued
function Function or functionality may refer to: Computing * Function key, a type of key on computer keyboards * Function model, a structured representation of processes in a system * Function object or functor or functionoid, a concept of object-orie ...
. The real numbers form an ordered field which is Archimedean and
order complete In mathematics, specifically in order theory and functional analysis, a subset A of an ordered vector space is said to be order complete in X if for every non-empty subset S of C that is order bounded in A (meaning contained in an interval, which is ...
. These metric spaces have some nice properties like: in a metric space
compactness In mathematics, specifically general topology, compactness is a property that seeks to generalize the notion of a closed and bounded subset of Euclidean space by making precise the idea of a space having no "punctures" or "missing endpoints", i ...
,
sequential compactness In mathematics, a topological space ''X'' is sequentially compact if every sequence of points in ''X'' has a convergent subsequence converging to a point in X. Every metric space is naturally a topological space, and for metric spaces, the noti ...
and
countable compactness In mathematics a topological space is called countably compact if every countable open cover has a finite subcover. Equivalent definitions A topological space ''X'' is called countably compact if it satisfies any of the following equivalent condit ...
are equivalent etc. These properties may not, however, hold so easily if the distance function is taken in an arbitrary ordered field, instead of in \scriptstyle \R.


Preliminary definition

Let (F, +, \cdot, <) be an arbitrary ordered field, and M a nonempty set; a function d : M \times M \to F^+ \cup \ is called a metric on M, if the following conditions hold: # d(x, y) = 0 if and only if x = y; # d(x, y) = d(y, x) (symmetry); # d(x, y) + d(y, z) \geq d(x, z) (triangle inequality). It is not difficult to verify that the open balls B(x, \delta)\; := \ form a basis for a suitable topology, the latter called the ''
metric topology In mathematics, a metric space is a set together with a notion of ''distance'' between its elements, usually called points. The distance is measured by a function called a metric or distance function. Metric spaces are the most general setti ...
'' on M, with the metric in F. In view of the fact that F in its
order topology In mathematics, an order topology is a certain topology that can be defined on any totally ordered set. It is a natural generalization of the topology of the real numbers to arbitrary totally ordered sets. If ''X'' is a totally ordered set, ...
is
monotonically normal 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 ...
, we would expect M to be at least
regular The term regular can mean normal or in accordance with rules. It may refer to: People * Moses Regular (born 1971), America football player Arts, entertainment, and media Music * "Regular" (Badfinger song) * Regular tunings of stringed instrum ...
.


Further properties

However, under
axiom of choice In mathematics, the axiom of choice, or AC, is an axiom of set theory equivalent to the statement that ''a Cartesian product of a collection of non-empty sets is non-empty''. Informally put, the axiom of choice says that given any collection ...
, every general metric is
monotonically normal 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 ...
, for, given x \in G, where G is open, there is an open ball B(x, \delta) such that x \in B(x, \delta) \subseteq G. Take \mu(x, G) = B\left(x, \delta/2\right). Verify the conditions for Monotone Normality. The matter of wonder is that, even without choice, general metrics are
monotonically normal 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 ...
. ''proof''. Case I: F is an
Archimedean field In abstract algebra and analysis, the Archimedean property, named after the ancient Greek mathematician Archimedes of Syracuse, is a property held by some algebraic structures, such as ordered or normed groups, and fields. The property, typica ...
. Now, if x in G, G open, we may take \mu(x, G) := B(x, 1/2n(x,G)), where n(x, G) := \min\, and the trick is done without choice. Case II: F is a non-Archimedean field. For given x \in G where G is open, consider the set A(x, G) := \. The set A(x, G) is non-empty. For, as G is open, there is an open ball B(x, k) within G. Now, as F is non-Archimdedean, \N_F is not bounded above, hence there is some \xi \in F such that for all n \in \N, n \cdot 1 \leq \xi. Putting a = k \cdot (2 \xi)^, we see that a is in A(x, G). Now define \mu(x, G) = \bigcup\. We would show that with respect to this mu operator, the space is monotonically normal. Note that \mu(x,G)\subseteq G. If y is not in G (open set containing x) and x is not in H (open set containing y), then we'd show that \mu(x, G) \cap \mu(y, H) is empty. If not, say z is in the intersection. Then \exists a \in A(x, G) \colon d(x, z) < a;\;\; \exists b \in A(y, H) \colon d(z, y) < b. From the above, we get that d(x, y) \leq d(x, z) + d(z, y) < 2 \cdot \max\, which is impossible since this would imply that either y belongs to \mu(x, G) \subseteq G or x belongs to \mu(y, H) \subseteq H. This completes the proof.


See also

* * *


References


External links

* {{citation , title=FOM discussion , date=15 August 2007, url=http://www.cs.nyu.edu/pipermail/fom/2007-August/011814.html Metric geometry Norms (mathematics) Topology