vector norm (original) (raw)
f(x)=0⇔x=0 | |
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f(x)≥0 | x∈V |
f(x+y)≤f(x)+f(y) | x,y∈V |
f(αx)=|α | f(x) |
Such a function is denoted as ||x||. Particular norms are distinguished by subscripts, such as ||x||V, when referring to a norm in the space V. A unit vector with respect to the norm ||⋅|| is a vector x satisfying||x||=1.
A common (and useful) example of a real norm is the Euclidean norm given by ||x||=(x12+x22+⋯+xn2)1/2 defined on V=ℝn. Note, however, that there exists vector spaces which are metric, but upon which it is not possible to define a norm. If it possible, the space is called a normed vector space. Given a metric on the vector space, a necessary and sufficient condition for this space to be a normed space, is
d(x+a,y+a)= | d(x,y) | ∀x,y,a∈V |
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d(αx,αy)= | |α | d(x,y) |
But given a norm, a metric can always be defined by the equation d(x,y)=||x-y||. Hence every normed space is a metric space.
Title | vector norm |
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Canonical name | VectorNorm |
Date of creation | 2013-03-22 11:43:00 |
Last modified on | 2013-03-22 11:43:00 |
Owner | mike (2826) |
Last modified by | mike (2826) |
Numerical id | 30 |
Author | mike (2826) |
Entry type | Definition |
Classification | msc 46B20 |
Classification | msc 18-01 |
Classification | msc 20H15 |
Classification | msc 20B30 |
Related topic | Vector |
Related topic | Metric |
Related topic | Norm |
Related topic | VectorPnorm |
Related topic | NormedVectorSpace |
Related topic | MatrixNorm |
Related topic | MatrixPnorm |
Related topic | FrobeniusMatrixNorm |
Related topic | CauchySchwarzInequality |
Related topic | MetricSpace |
Related topic | VectorSpace |
Related topic | LpSpace |
Related topic | OperatorNorm |
Related topic | BoundedOperator |
Related topic | SemiNorm![]() |
Related topic | BanachSpace |
Related topic | HilbertSpace |
Related topic | UnitVector |
Defines | normed vector space |
Defines | Euclidean norm |