It often happens in matrix algebra that we need to both transpose and take the complex conjugate of a matrix. The result of the sequential application of these two operations is called conjugate transpose (or Hermitian transpose). Special symbols are used in the mathematics literature to denote this double operation.
The conjugate transpose of a matrix
is the matrix
defined
by
where
denotes transposition and the over-line denotes complex conjugation.
Remember that the complex conjugate of a matrix is obtained by taking the complex conjugate of each of its entries (see the lecture on complex matrices).
In the definition we have used the fact that the order in which transposition
and conjugation are performed is irrelevant: whether the sign of the imaginary
part of an entry of
is switched before or after moving the entry to a different position does not
change the final result.
Example
Define the matrix
Its
conjugate
is
and
its conjugate transpose
is
Several different symbols are used in the literature as alternatives to the
symbol we have used thus far.
The most common alternatives are the
symbol (for
Hermitian):
and the
dagger:
The properties of conjugate transposition are immediate consequences of the properties of transposition and conjugation. We therefore list some of them without proofs.
For any two matrices
and
such that the operations below are well-defined and any scalar
,
we have that
provided
is a square invertible matrix
A matrix that is equal to its conjugate transpose is called Hermitian (or
self-adjoint). In other words,
is Hermitian if and only
if
Example
Consider the matrix
Then
its conjugate transpose
is
As
a consequence
is Hermitian.
Denote by
the
-th
entry of
and by
the
-th
entry of
.
By the definition of conjugate transpose, we
have
Therefore,
is Hermitian if and only
if
for
every
and
,
which also implies that the diagonal entries of
must be real: their complex part must be zero in order to
satisfy
Below you can find some exercises with explained solutions.
Let the vector
be defined
by
Compute the
product
The conjugate transpose of
is
and the product
is
Let the matrix
be defined
by
Compute its conjugate transpose.
We have
that
Please cite as:
Taboga, Marco (2021). "Conjugate transpose", Lectures on matrix algebra. https://www.statlect.com/matrix-algebra/conjugate-transpose.
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