Linear Transformation
A linear transformation from V to W is a function T : V W with the following properties for any u , v V and c F
  • T ( u + v ) = T ( u ) + T ( v )
  • T ( c u ) = c T ( u )
Inner Product
An inner product is a function , : V × V F where V is a vector space over the field F , it assigns to each pair v , w V a real number v , w such that, for all u , v , w V and α F and satisfies:
  1. v , v 0 , with equality if and only if v = 0 .
  2. v , w = w , v .
  3. u + v , w = u , w + v , w ,
  4. α v , w = α v , w .
Inner Product Space
An inner product space is a vector space V over the field F toegether with an inner product
The Dot Product in Rn Forms an Inner Product
The dot product in R n forms an inner product
Schwarz Inequality
For all x , y R n we have | x , y | x y and | x , y | = x y if and only if x , y are collinear
The Norm Satisfies the Triangle Inequality
For any x , y R n we have x + y x + y