Definition:Chebyshev Distance

Definition
Let $M_1 = \struct {A_1, d_1}$ and $M_2 = \struct {A_2, d_2}$ be metric spaces.

Let $A_1 \times A_2$ be the cartesian product of $A_1$ and $A_2$.

The Chebyshev distance on $A_1 \times A_2$ is defined as:


 * $\map {d_\infty} {x, y} := \max \set {\map {d_1} {x_1, y_1}, \map {d_2} {x_2, y_2} }$

where $x = \tuple {x_1, x_2}, y = \tuple {y_1, y_2} \in A_1 \times A_2$.

Real Number Plane
This metric is usually encountered in the context of the real number plane $\R^2$:

Also known as
The Chebyshev distance is also known as the maximum metric or sup metric.

Another term is the chessboard distance, as it can be illustrated on the real number plane as the number of moves needed by a chess king to travel from one point to the other.

Also see

 * Chebyshev Distance is Metric


 * Definition:Taxicab Metric
 * Definition:$p$-Product Metric