Fifth Property of the Euclidean Metric
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(New page: For a list of points <math>\{x_\ell\in\mathbb{R}^n,\,\ell\!=\!1\ldots N\}</math> in Euclidean vector space, distance-square between points <math>x_i</math> and <math>x_j</math> is defined ...)
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Revision as of 13:02, 13 October 2007
For a list of points in Euclidean vector space, distance-square between points
and
is defined
Euclidean distance must satisfy the requirements imposed by any metric space:
-
(nonnegativity)
-
(self-distance)
-
(symmetry)
-
(triangle inequality)
where is the Euclidean metric in
.
Fifth property of the Euclidean metric
(Relative-angle inequality.)
Augmenting the four fundamental Euclidean metric properties in ,
for all
,
, and for
distinct points
,
the inequalities
where is the angle between vectors at vertex
, must be satisfied at each point
regardless of affine dimension.