Definition:Generalized Euclidean Metric
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Definition
$\newcommand{\dist} [2] {\left| {{#1} - {#2}} \right|}$ Let $\R^n$ be an $n$-dimensional real vector space.
Let $x = \left({x_1, x_2, \ldots, x_n}\right) \in \R^n$ and $y = \left({y_1, y_2, \ldots, y_n}\right) \in \R^n$.
The generalized Euclidean metrics are defined as follows:
| \(\displaystyle \) | \(\displaystyle \) | \(\displaystyle \) | \(\displaystyle d_1 \left({x, y}\right)\) | \(=\) | \(\displaystyle \sum_{i=1}^n \dist {x_i} {y_i}\) | \(\displaystyle \) | \(\displaystyle \) | \(\displaystyle \) | |||
| \(\displaystyle \) | \(\displaystyle \) | \(\displaystyle \) | \(\displaystyle d_r \left({x, y}\right)\) | \(=\) | \(\displaystyle \left({\sum_{i=1}^n \dist {x_i} {y_i}^r}\right)^{\frac 1 r}\) | \(\displaystyle \) | \(\displaystyle \) | \(\displaystyle \) | $r = 2, 3, \ldots$ | ||
| \(\displaystyle \) | \(\displaystyle \) | \(\displaystyle \) | \(\displaystyle d_\infty \left({x, y}\right)\) | \(=\) | \(\displaystyle \max_{i=1}^n \left\{ {\dist {x_i} {y_i} }\right\}\) | \(\displaystyle \) | \(\displaystyle \) | \(\displaystyle \) |
The Generalized Euclidean Metric is a Metric.
The Generalized Euclidean Metrics are Topologically Equivalent.
Note that $d_2 \left({x, y}\right)$ is the usual Euclidean metric:
- $\displaystyle d \left({x, y}\right) = \left({\sum_{i=1}^n \left({x_i - y_i}\right)^2}\right)^{\frac 1 2}$
on $\R^n$.
Relationship with Product Space Metrics
It can be seen that this is a special case of a product space.
Note
To complete the family, we could also define $d_0$ as the standard discrete metric on $\R^n$.
However, while $d_1, d_2, \ldots, d_\infty$ are all topologically equivalent, this is not the case with $d_0$.
Sources
- W.A. Sutherland: Introduction to Metric and Topological Spaces (1975): Examples $2.2.3, \ 2.2.18$