Chapter 6 extra note 7

polar decomposition

Example:

Given

AM3×3(R) as
(1)A=[0300015000],

we want to calculate the polar decomposition of
A
, namely, to find an unitary matrix
U
such that
A=U|A|
.

At first, let us find

|A|. We calculate
AA
and determine
|A|
. We have
(2)AA=[0000300015],|A|=[0000300015].

It should be clear that the eigenvector of
AA
and
|A|
are
v1=[0,0,1]T
,
v2=[0,1,0]T
.

Next, we require

Avi=U|A|vi for
i=1,2
.

  • i=1
    :
    (3)A[010]=[0300015000][010]=U[0000300015][010],

    that gives the equation
    (4)[300]=U[030].
  • i=2

    (5)A[001]=[0300015000][001]=U[0000300015][001],

    that gives the equation
    (6)[0150]=U[0015].

Combining equations (4) and (6) we see that

U should be in the following form:
(7)U=[?10?01?00].

One might feels that there exists the third equation by using

v0=[1,0,0]T, but, as
v0Ker(A)
, it has no contribution:
(8)A[100]=[0300015000][100]=U[0000300015][100].

Then we get
0=U0
which is always true.

Finally, given that

U is unitary, we have two solutions for
U
as
(9)U1=[010001100],U1=[010001100].

So the polar decomposition is not unique, we have

(10)A=U1|A|=U2|A|.