Asymmetric norm


In mathematics, an asymmetric norm on a vector space is a generalization of the concept of a norm.

Definition

An asymmetric norm on a real vector space V is a function that has the following properties:
Asymmetric norms differ from norms in that they need not satisfy the equality p = p.
If the condition of positive definiteness is omitted, then p is an asymmetric seminorm. A weaker condition than positive definiteness is non-degeneracy: that for v ≠ 0, at least one of the two numbers p and p is not zero.

Examples

If is a convex set that contains the origin, then an asymmetric seminorm can be defined on by the formula
For instance, if is the square with vertices, then is the taxicab norm. Different convex sets yield different seminorms, and every asymmetric seminorm on can be obtained from some convex set, called its dual unit ball. Therefore, asymmetric seminorms are in one-to-one correspondence with convex sets that contain the origin. The seminorm is
More generally, if is a finite-dimensional real vector space and is a compact convex subset of the dual space that contains the origin, then is an asymmetric seminorm on.