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In mathematics, a norm is a function from a real or complex vector space to the non ... is a norm (or more generally ... (which is an example of a norm, ...
Suppose a vector norm ‖ ‖ on and a vector norm ‖ ‖ on are given. Any matrix A induces a linear operator from to with respect to the standard basis, and one defines the corresponding induced norm or operator norm or subordinate norm on the space of all matrices as follows: ‖ ‖, = {‖ ‖: ‖ ‖ =} = {‖ ‖ ‖ ‖:} . where denotes the supremum.
An example of such a space is the Fréchet space (), whose definition can be found in the article on spaces of test functions and distributions, because its topology is defined by a countable family of norms but it is not a normable space because there does not exist any norm ‖ ‖ on () such that the topology this norm induces is equal to .
For example, points (2, 0), (2, 1), and (2, 2) lie along the perimeter of a square and belong to the set of vectors whose sup norm is 2. In mathematical analysis , the uniform norm (or sup norm ) assigns, to real- or complex -valued bounded functions f {\displaystyle f} defined on a set S {\displaystyle S} , the non-negative number
The Frobenius norm defined by ‖ ‖ = = = | | = = = {,} is self-dual, i.e., its dual norm is ‖ ‖ ′ = ‖ ‖.. The spectral norm, a special case of the induced norm when =, is defined by the maximum singular values of a matrix, that is, ‖ ‖ = (), has the nuclear norm as its dual norm, which is defined by ‖ ‖ ′ = (), for any matrix where () denote the singular values ...
Since every norm is a quasinorm, every normed space is also a quasinormed space. L p {\displaystyle L^{p}} spaces with 0 < p < 1 {\displaystyle 0<p<1} The L p {\displaystyle L^{p}} spaces for 0 < p < 1 {\displaystyle 0<p<1} are quasinormed spaces (indeed, they are even F-spaces ) but they are not, in general, normable (meaning that there might ...
In mathematics, the operator norm measures the "size" of certain linear operators by assigning each a real number called its operator norm. Formally, it is a norm defined on the space of bounded linear operators between two given normed vector spaces .
In commutative algebra, the norm of an ideal is a generalization of a norm of an element in the field extension.It is particularly important in number theory since it measures the size of an ideal of a complicated number ring in terms of an ideal in a less complicated ring.