Примери коришћења Linear map на Енглеском и њихови преводи на Српски
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Then we can define a linear map R by.
Linear maps, kernel and image of a linear map. Rank-nul ity theorem.
We say that the matrix A"represents" the linear map f.
Differentiation is a linear map from the space of all differentiable functions to the space of all functions.
The rank of a matrix A is the dimension of the image of the linear map represented by A;
The integral yields a linear map from the space of all real-valued integrable functions on some interval to R.
On every infinite-dimensional topological vector space there is a discontinuous linear map.
A linear map from V to K(with K viewed as a vector space over itself) is called a linear functional.
If A is areal m× n matrix, then A defines a linear map from R n to R m by sending the column vector x∈ R n to the column vector A x∈ R m.
The result will not depend on the basis chosen, since different bases will give rise to similar matrices,allowing for the possibility of a basis-independent definition for the trace of a linear map.
Conversely, any linear map between finite-dimensional vector spaces can be represented in this manner; see the following section.
Such a definition can be given using the canonical isomorphism between the space End(V) of linear maps on V and V⊗ V*, where V* is the dual space of V. Let v be in V and let f be in V*.
A function f: V-->W is a linear map if for any two vectors x and y in V and any scalar a in K the following conditions are satisfied.
Given two vector spaces V andW over a field F, a linear transformation(also called linear map, linear mapping or linear operator) is a map. .
They have acquired the fol owing notions: linear map, minimal polynomial and the determinant of a matrix, as wel as their essential features.
A bijective linear map between two vector spaces(that is, every vector from the second space is associated with exactly one in the first) is an isomorphism.
We could choose this subset arbitrarily, butif we're going to want a reconstruction formula R that is also a linear map, then we have to choose an n-dimensional linear subspace of L 2{\displaystyle L^{2}}.
If A describes a linear map with respect to two bases, then the matrix Atr describes the transpose of the linear map with respect to the dual bases, see dual space.
Given two vector spaces V andW over a field F, a linear map(also called, in some contexts, linear transformation, linear mapping or linear operator) is a map. .
When a bijective linear map exists between two vector spaces that is, every vector from the second space is associated with exactly one in the first, the two spaces are isomorphic.
In mathematics, a linear transformation(also called linear operator or linear map) is a function between two vector spaces that preserves the operations of vector addition and scalar multiplication.
In general, given some linear map f: V→ V(where V is a finite-dimensional vector space), we can define the trace of this map by considering the trace of a matrix representation of f, that is, choosing a basis for V and describing f as a matrix relative to this basis, and taking the trace of this square matrix.
Let F be any sampling method,i.e. a linear map from the Hilbert space of square-integrable functions L 2{\displaystyle L^{2}} to complex space C n{\displaystyle\mathbb{C}^{n}}.