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