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Conformable matrix
In
mathematics
, a
matrix
is
conformable
if its dimensions are
suitable
for
defining
some
operation
.
Examples
If two
matrices
have the same dimensions, they are
conformable for addition
.
Multiplication
of two matrices is defined
if and only if
the number of
columns
of the left matrix is the same as the number of rows of
the right
matrix. That is, if is an matrix and is an matrix, then
needs
to be
equal to
for
the matrix
product
to be defined. In this case, we say that and are
conformable for
multiplication
.
Since
squaring
a matrix involves
multiplying
it by itself a matrix must be to be
conformable for squaring
. Thus for example only a
square matrix
can be
idempotent
.
Only a
square
matrix is
conformable for
matrix inversion
. However, the
Moore–Penrose pseudoinverse
and other
generalized inverses
do not have this
requirement
.
Only a square matrix is
conformable for
matrix exponentiation
.