In mathematics, one associates to every complex vector space its complex conjugate vector space , again a complex vector space. One reason for considering the conjugate vector space is that it allows one to think of antilinear maps as linear maps: an antilinear map from to gives rise to a linear map , and conversely.
The underlying set of vectors and the addition of are the same as those of , but the scalar multiplication in is defined as follows:
- to multiply the complex number
with the vector in , take the complex conjugate of and multiply it with in the original space .
The map defined by for all in is then bijective and antilinear. Furthermore, we have and for all in .
An antilinear map , for another vector space , is the same thing as a linear map .
Given a linear map , the conjugate linear map is defined by the formula:
.
The conjugate linear map is linear. Moreover, the rules and define a functor from the category of C-vector spaces to itself.
If and are finite-dimensional and the map is described by the matrix with respect to the bases of and of , then the map is described by the complex conjugate of with respect to the bases of and of .
The vector spaces and have the same dimension over C and are therefore isomorphic as C-vector spaces. However, there is no natural isomorphism from to .
References
|