In mathematics, the concept of a generalised metric is a generalisation of that of a metric, in which the distance is not a real number but taken from an arbitrary ordered field.
In general, when we define metric space the distance function is taken to be a real-valued function. The real numbers form an ordered field which is Archimedean and order complete. These metric spaces have some nice properties like: in a metric space compactness, sequential compactness and countable compactness 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
Preliminary definition
Let
be an arbitrary ordered field, and
a nonempty set; a function
is called a metric on
if the following conditions hold:
if and only if
;
(symmetry);
(triangle inequality).
It is not difficult to verify that the open balls
form a basis for a suitable topology, the latter called the metric topology on
with the metric in
Since
in its order topology is monotonically normal, we would expect
to be at least regular.
Further properties
However, under axiom of choice, every general metric is monotonically normal, for, given
where
is open, there is an open ball
such that
Take
Verify the conditions for Monotone Normality.
The matter of wonder is that, even without choice, general metrics are monotonically normal.
proof.
Case I:
is an Archimedean field.
Now, if
in
open, we may take
where
and the trick is done without choice.
Case II:
is a non-Archimedean field.
For given
where
is open, consider the set
The set
is non-empty. For, as
is open, there is an open ball
within
Now, as
is non-Archimdedean,
is not bounded above, hence there is some
such that for all
Putting
we see that
is in
Now define
We would show that with respect to this mu operator, the space is monotonically normal. Note that
If
is not in
(open set containing
) and
is not in
(open set containing
), then we'd show that
is empty. If not, say
is in the intersection. Then
From the above, we get that
which is impossible since this would imply that either
belongs to
or
belongs to
This completes the proof.
See also
References
External links
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Basic concepts | |
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Main results | |
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Maps | |
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Types of metric spaces | |
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Sets | |
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Examples | |
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Related | |
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Generalizations | |
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