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Linear maps can often be represented as matrices, and simple examples include rotation and reflection linear transformations. In the language of category theory, linear maps are the morphisms of vector spaces, and they form a category equivalent to the one of matrices.
A multilinear map of one variable is a linear map, and of two variables is a bilinear map. More generally, for any nonnegative integer , a multilinear map of k variables is called a k-linear map. If the codomain of a multilinear map is the field of scalars, it is called a multilinear form.
The term map may be used to distinguish some special types of functions, such as homomorphisms. For example, a linear map is a homomorphism of vector spaces, while the term linear function may have this meaning or it may mean a linear polynomial. [3] [4] In category theory, a map may refer to a morphism. [2]
Every *-homomorphism is completely positive.[1]For every linear operator : between Hilbert spaces, the map () (), is completely positive. [2] Stinespring's theorem says that all completely positive maps are compositions of *-homomorphisms and these special maps.
Examples of discontinuous linear maps are easy to construct in spaces that are not complete; on any Cauchy sequence of linearly independent vectors which does not have a limit, there is a linear operator such that the quantities ‖ ‖ / ‖ ‖ grow without bound. In a sense, the linear operators are not continuous because the space has "holes".
[a] This means that the function that maps y to f(x) + J(x) ⋅ (y – x) is the best linear approximation of f(y) for all points y close to x. The linear map h → J(x) ⋅ h is known as the derivative or the differential of f at x. When m = n, the Jacobian matrix is square, so its determinant is a well-defined function of x, known as the ...
The following sets will constitute the basic open subsets of topologies on spaces of linear maps. For any subsets and , let (,):= {: ()}.. The family {(,):,} forms a neighborhood basis [1] at the origin for a unique translation-invariant topology on , where this topology is not necessarily a vector topology (that is, it might not make into a TVS).
Linear operators refer to linear maps whose domain and range are the same space, for example from to . [ 1 ] [ 2 ] [ a ] Such operators often preserve properties, such as continuity . For example, differentiation and indefinite integration are linear operators; operators that are built from them are called differential operators , integral ...
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