Home

Mn×p

Mn×p denotes the set of all n-by-p matrices with entries from a field F, typically the real numbers R or the complex numbers C. It forms a vector space over F under standard matrix addition and scalar multiplication. The zero matrix is the additive identity, and every element has an additive inverse.

The dimension of Mn×p as a vector space is n·p. A convenient basis is the family of

Matrix multiplication is defined only for compatible sizes. If A ∈ M(m×n) and B ∈ M(n×p), their product

Mn×p also represents linear maps from F^p to F^n: each matrix A defines a linear transformation x

Common subspaces include the row space and column space of a particular matrix, as well as subspaces

matrices
Eij
that
have
a
1
in
position
(i,
j)
and
0
elsewhere,
for
i
=
1,…,n
and
j
=
1,…,p.
Consequently
Mn×p
is
naturally
isomorphic,
as
a
vector
space,
to
F^n
⊗
F^p
(and
to
F^(n·p)).
AB
lies
in
M(m×p).
The
set
Mn×p
itself
is
not
closed
under
multiplication
unless
p
=
n
and
one
restricts
to
square
matrices,
in
which
case
Mn
denotes
the
algebra
of
all
n×n
matrices
with
standard
addition
and
multiplication.
↦
Ax.
Thus
Mn×p
is
isomorphic
to
the
space
of
linear
maps
Hom(F^p,
F^n).
defined
by
linear
relations
among
its
entries.
The
rank
of
individual
matrices
is
a
fundamental,
but
separate,
notion
from
the
structure
of
the
set
Mn×p.
Special
cases:
when
n
=
p,
Mn×p
is
the
standard
matrix
algebra
M_n;
when
p
≠
n,
it
describes
linear
transformations
between
spaces
of
different
dimensions.