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 == | ||
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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]] |
Latest revision as of 06:01, 12 September 2024
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 : 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:
- - additivity,
and
- - homogenity.
This is equivalent to requiring that for any vectors x1, ..., xm and scalars a1, ..., am, the equality
holds.