Linear map: Difference between revisions

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imported>Igor Grešovnik
(equivalent def.)
imported>Igor Grešovnik
m (→‎Definition and first consequences: corrections in formulas)
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== Definition ==
== Definition ==
==Definition and first consequences==
==Definition ==


Let ''V'' and ''W'' be vector spaces over the same [[field (mathematics)|field]] ''K''. A function ''f'' : ''V'' → ''W'' 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:
Let ''V'' and ''W'' be vector spaces over the same [[field (mathematics)|field]] ''K''. A function ''f'' : ''V'' → ''W'' 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:
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''and''
''and''
:<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 x_1+\cdots+a_m x_m)=a_1 f(x_1)+\cdots+a_m f(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.

Revision as of 14:57, 13 November 2007

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

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.