Section 44.2 Terminology and notation
- composite function (for functions f:XβY and g:YβZ)
the function gβf:XβZ defined by (gβf)(x)=g(f(x))
Notation.
As in Discovery set 44.1, in analogy with the relationship between standard matrices of matrix transformations and the standard matrix of their composition, we will use multiplication notation ST in place of composite function notation SβT for all linear transformations.- injective function
a function for which outputs are always distinct; i.e. for which f(x1)β f(x2) in the codomain whenever x1β x2 in the domain
- one-to-one
synonym for injective
- invertible transformation
a linear transformation T:VβW for which there exists linear Tβ1:imTβV so that both Tβ1T and TTβ1 are the identity transformation (on V and imT, respectively)
- inverse transformation (of an invertible transformation T:VβW)
the transformation Tβ1:imTβV as in the definition of invertible transformation
Remark 44.2.1.
Technically, for functions f and g the composite gβf is only defined in the case that the domain of g is the same as the codomain for f. But as long as the domain for g contains the image of f as a subset, then the definition (gβf)(x)=g(f(x)) still makes sense.
In particular, a linear transformation T:VβW can always be βredefinedβ by restricting the codomain to T:VβimT. This way, in the case that T is invertible, the composition Tβ1T makes sense even though Tβ1 is only defined on imT rather than on all of the codomain space W for T.
- surjective function
a function for which every codomain element is an image element; i.e. for which f:XβY with imf=Y
- onto
synonym for surjective
- isomorphism
a surjective, invertible transformation T:VβW
- isomorphic spaces
vector spaces V and W for which there exists an isomorphism VβW
- VβW
notation to mean that spaces V and W are isomorphic