Linear map

A function between vector spaces preserving addition and scalar multiplication.
Linear map

Let VV and WW be vector spaces over the same field F\mathbb{F} (typically F=R\mathbb{F}=\mathbb{R} or C\mathbb{C}). A T:VWT:V\to W is a linear map (or linear transformation) if for all x,yVx,y\in V and all scalars α,βF\alpha,\beta\in\mathbb{F},

T(αx+βy)=αT(x)+βT(y).T(\alpha x+\beta y)=\alpha T(x)+\beta T(y).

Linear maps are the morphisms in linear algebra; in analysis they model (as best linear approximations) and bounded linear operators (when norms are present). See also .

Examples:

  • If AA is an m×nm\times n real matrix, then T:RnRmT:\mathbb{R}^n\to\mathbb{R}^m defined by T(x)=AxT(x)=Ax is linear.
  • The derivative operator D:C1([a,b])C([a,b])D:C^1([a,b])\to C([a,b]), D(f)=fD(f)=f', is linear.
  • The map f:RRf:\mathbb{R}\to\mathbb{R} given by f(x)=x2f(x)=x^2 is not linear.