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91Ó°ÊÓ

a. Explain how any square matrix A can be written as

A=QS, where Q is orthogonal and S is symmetric positive semi definite. This is called the polar decomposition of. Hint: Write A=U∑VT=UVTV∑VT

b. Is it possible to write A=S1Q1, where Q1 is orthogonal and S1is symmetric positive semidefinite?

Short Answer

Expert verified

a. Write A=U∑VT=UVTV∑VT=UVTV∑VT=QS.Show that Q is orthogonal and is symmetric positive semi-definite.

b. Write A=U∑VT=U∑UTUVT=U∑UTUVT=S1Q1.Show that Q1is orthogonal and S1 is symmetric positive semi-definite.

Step by step solution

01

To  Explaining the any square matrix

(a)

LetA=U∑VT be the singular value decomposition of A . Rewrite A as follows.

A=U∑VT=UVTV∑VT=UVTU∑VT.......1

Define Q=UVTand S=V∑VT.

The columns of V are orthogonal by construction. If viis the ithcolumn of V , then VTV=viTvi=I. The columns of U also are orthogonal. Hence, by the same argument,

UTU=I=UUT.

This gives the following.

QQT=UVTUVT=UVTVUT=UIUT=I

This proves that is Q orthogonal.

Let's check if is symmetric.

role="math" localid="1660737512505" ST=V∑VT=V∑TVT=V∑VT=S

∑T=∑, since∑ is a diagonal matrix.

Now, let's check if S is positive semi-definite.

role="math" localid="1660737787413" xTSx=xTV∑VTx=xTV∑VTx=VTxT∑VTx=yT∑y≥0

yT∑y≥0for all ysince since ∑is a positive semi-definite as all of its eigenvalues are non-negative.

This proves that A=QSwhere Q is orthogonal and S is symmetric and positive semi-definite.

02

To find the Q1  is orthogonal and S1 is symmetric positive semidefinite

(b)

Rewrite A as follows.

A=U∑VT=U∑UVT=U∑UTUVT=S1Q1

By the arguments similar to the ones in part (a),role="math" localid="1660738317346" S1=U∑UT is symmetric and positive semi-definite and Q1=UVTis orthogonal.

03

Final proof

a. Write A=U∑VT=UVTV∑VT=UVTV∑VT=QS.Show that Q is orthogonal and S is symmetric positive semi-definite.

b. Write A=U∑VT=U∑UTUVT=U∑UTUVT=S1Q1. Show that Q1is orthogonal and S1is symmetric positive semi-definite.

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