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

## Definition

Let X be a real vector space. Then an asymmetric norm on X is a function p : X   R satisfying the following properties:

• non-negativity: for all x   X, p(x)   0;
• definiteness: for x   X, x = 0 if and only if p(x) = p(−x) = 0;
• homogeneity: for all x   X and all λ   0, p(λx) = λp(x);
• the triangle inequality: for all xy   X, p(x + y)   p(x) + p(y).

## Examples

• On the real line R, the function p given by
p(x) = \begin{cases} |x|, & x \leq 0; \\ 2 |x|, & x \geq 0; \end{cases}
is an asymmetric norm but not a norm.
• More generally, given a strictly positive function g : Sn−1   R defined on the unit sphere Sn−1 in Rn (with respect to the usual Euclidean norm | |, say), the function p given by
p(x) = g(x/|x|) |x| \,
is an asymmetric norm on Rn but not necessarily a norm.

## References

Source: Wikipedia | The above article is available under the GNU FDL. | Edit this article

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