Linear map: Difference between revisions

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In [[mathematics]], a '''linear map''' (also called a '''linear transformation''' or '''linear operator''') is a [[Function (mathematics)|function]] between two [[Vector space|vector spaces]] that preserves the operations of vector addition and [[Scalar (mathematics)|scalar]] multiplication.
In [[mathematics]], a '''linear map''' (also called a '''linear transformation''' or '''linear operator''') is a [[Function (mathematics)|function]] between two [[Vector space|vector spaces]] that preserves the operations of vector addition and [[Scalar (mathematics)|scalar]] multiplication.


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In [[abstract algebra]], a linear map is a [[homomorphism]] of vector spaces.
In [[abstract algebra]], a linear map is a [[homomorphism]] of vector spaces.


== Definition ==
==Definition ==
==Definition ==


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:<math>f(a \bold{x})=a f(\bold{x})</math> - homogenity.
:<math>f(a \bold{x})=a f(\bold{x})</math> - homogenity.


This is equivalent to requiring that for any vectors '''x'''<sub>1</sub>, ..., ''x''<sub>''m''</sub> and scalars ''a''<sub>1</sub>, ..., ''a''<sub>''m''</sub>, the equality
This is equivalent to requiring that for any vectors '''x'''<sub>1</sub>, ..., '''x'''<sub>''m''</sub> and scalars ''a''<sub>1</sub>, ..., ''a''<sub>''m''</sub>, the equality
:<math>f(a_1 \bold{x}_1+\cdots+a_m \bold{x}_m)=a_1 f(\bold{x}_1)+\cdots+a_m f(\bold{x}_m)</math>
:<math>f(a_1 \bold{x}_1+\cdots+a_m \bold{x}_m)=a_1 f(\bold{x}_1)+\cdots+a_m f(\bold{x}_m)</math>
holds.
holds.[[Category:Suggestion Bot Tag]]

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In mathematics, a linear map (also called a linear transformation or linear operator) is a function between two vector spaces that preserves the operations of vector addition and scalar multiplication.

The term linear transformation is especially used for linear maps from a vector space to itself (endomorphisms).

In abstract algebra, a linear map is a homomorphism of vector spaces.

Definition

Let V and W be vector spaces over the same field K. A function f : VW is said to be a linear map if for any two vectors x and y in V and any scalar a in K, the following two conditions are satisfied:

- additivity,

and

- homogenity.

This is equivalent to requiring that for any vectors x1, ..., xm and scalars a1, ..., am, the equality

holds.