Symmetric Matrix
A symmetric matrix is a square matrix that satisfies
|
(1)
|
where
denotes the transpose,
so
. This also implies
|
(2)
|
where
is the identity
matrix. For example,
|
(3)
|
is a symmetric matrix. Hermitian matrices are a useful generalization of symmetric matrices for complex matrices.
A matrix that is not symmetric is said to be an asymmetric matrix, not to be confused with an antisymmetric matrix.
A matrix
can be tested to see if it is symmetric
in the Wolfram Language using SymmetricMatrixQ[m].
Written explicitly, the elements of a symmetric matrix
have the form
![]() |
(4)
|
The symmetric part of any matrix may be obtained from
|
(5)
|
A matrix
is symmetric if
it can be expressed in the form
|
(6)
|
where
is an orthogonal
matrix and
is a diagonal
matrix. This is equivalent to the matrix equation
|
(7)
|
which is equivalent to
|
(8)
|
for all
, where
.
Therefore, the diagonal elements of
are the eigenvalues
of
, and the columns of
are the corresponding
eigenvectors.
The numbers of symmetric matrices of order
on
symbols are
,
,
,
, ...,
. Therefore, for (0,1)-matrices,
the numbers of distinct symmetric matrices of orders
, 2, ... are
2, 8, 64, 1024, ... (OEIS A006125).
![[a_(11) a_(12) ... a_(1n); a_(12) a_(22) ... a_(2n); | | ... |; a_(1n) a_(2n) ... a_(nn)].](/images/equations/SymmetricMatrix/NumberedEquation4.gif)
eigenvalues of a {{2,
4}, {4, 2}}