Fifth Property of the Euclidean Metric
From Wikimization
(Difference between revisions)
| Line 10: | Line 10: | ||
namely, for Euclidean metric <math>\sqrt{d_{ij}}</math> in <math>\mathbb{R}^n</math> | namely, for Euclidean metric <math>\sqrt{d_{ij}}</math> in <math>\mathbb{R}^n</math> | ||
| - | * <math>\sqrt{d_{ij}}\geq0\,, | + | * <math>\sqrt{d_{ij}}\geq0\,,\;\;i\not= j</math> '''('''nonnegativity''')''' |
| - | * <math>\sqrt{d_{ij}}=0 | + | * <math>\sqrt{d_{ij}}=0\;\Leftrightarrow\;x_i=x_j</math> '''('''self-distance''')''' |
* <math>\sqrt{d_{ij}}=\sqrt{d_{ji}}</math> '''('''symmetry''')''' | * <math>\sqrt{d_{ij}}=\sqrt{d_{ji}}</math> '''('''symmetry''')''' | ||
| - | * <math>\sqrt{d_{ij}}\,\leq\,\sqrt{d_{ik_{}}}+\sqrt{d_{kj}} | + | * <math>\sqrt{d_{ij}}\,\leq\,\sqrt{d_{ik_{}}}+\sqrt{d_{kj}}\;,\;\;i\!\not=\!j\!\not=\!k</math> '''('''triangle inequality''')''' |
| Line 22: | Line 22: | ||
<math>\begin{array}{cc} | <math>\begin{array}{cc} | ||
| - | |\theta_{ik\ell}-\theta_{\ell kj}| | + | |\theta_{ik\ell}-\theta_{\ell kj}|\;\leq\;\theta_{ikj\!}\;\leq\;\theta_{ik\ell}+\theta_{\ell kj}\\ |
\theta_{ik\ell}+\theta_{\ell kj}+\theta_{ikj\!}\,\leq\,2\pi\\ | \theta_{ik\ell}+\theta_{\ell kj}+\theta_{ikj\!}\,\leq\,2\pi\\ | ||
0\leq\theta_{ik\ell\,},\theta_{\ell kj\,},\theta_{ikj}\leq\pi | 0\leq\theta_{ik\ell\,},\theta_{\ell kj\,},\theta_{ikj}\leq\pi | ||
Current revision
For a list of points in Euclidean vector space, distance-square between points
and
is defined
Euclidean distance between points must satisfy the defining requirements imposed upon any metric space: [Dattorro, ch.5.2]
namely, for Euclidean metric in
-
(nonnegativity)
-
(self-distance)
-
(symmetry)
-
(triangle inequality)
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.
References
- Dattorro, Convex Optimization & Euclidean Distance Geometry, Meboo, 2005