Set
 .
Let
.
Let
 denote the 
kernel
of the mapping, and let
denote the 
kernel
of the mapping, and let
 denote its 
dimension
(
 
denote its 
dimension
( ).
Let
).
Let
-    
be a
basis
of  . Due to
fact,
there exist vectors
. Due to
fact,
there exist vectors
-    
such that
-    
is a basis of  .
We claim that
.
We claim that
-    
is a basis of the image. Let
 be an element of the image
be an element of the image  . Then there exists a vector
. Then there exists a vector
 such that
such that
 . 
We can write
. 
We can write  with the basis as
 with the basis as
-   
Then we have
 
which means that  is a
linear combination
in terms of the
 is a
linear combination
in terms of the  .
In order to prove that the family
.
In order to prove that the family
 ,
,  ,
is
linearly independent,
let a representation of zero be given,
,
is
linearly independent,
let a representation of zero be given,
-   
Then
-   
Therefore,  belongs to the kernel of the mapping. Hence, we can write
 belongs to the kernel of the mapping. Hence, we can write
-   
Since this is altogether a basis of  , we can infer that all coefficients are
, we can infer that all coefficients are  , in particular,
, in particular,
 .
.