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Every invertible matrix Acan be expressed as the product of an orthogonal matrix and an upper triangular matrix.

Short Answer

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Step by step solution

01

Step by step solution Step 1: Consider the theorem below.

QR factorization: Consider an n×mmatrix Mwith linearly independent columns v1,....,vm. Then there exists an n×mmatrix Qwhose columnsu1,....,um are orthonormal and an upper triangular matrix Rwith positive diagonal entries such thatM=QR.

02

Determine whether the statement is true or false

Furthermore r11=||v1||,rjj=||vj||

(j=2,....,m) and rij=ui.vj

Since, the matrix is invertible hence its columns will be linearly independent and therefore, using QRdecomposition,there exists orthogonal matrix Q and an upper triangular matrix R such thatA=QR.

Hence, the statement is true.

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Most popular questions from this chapter

This exercise shows one way to define the quaternions,discovered in 1843 by the Irish mathematician Sir W.R. Hamilton (1805-1865).Consider the set H of all 4×4matrices M of the form

M=[pqrsqpsrrspqsrqp]

where p,q,r,s are arbitrary real numbers.We can write M more sufficiently in partitioned form as

M=(ABTBAT)

where A and B are rotation-scaling matrices.

a.Show that H is closed under addition:If M and N are in H then so isM+N

M+Nb.Show that H is closed under scalar multiplication .If M is in H and K is an arbitrary scalar then kM is in H.

c.Parts (a) and (b) Show that H is a subspace of the linear space R4×4 .Find a basis of H and thus determine the dimension of H.

d.Show that H is closed under multiplication If M and N are in H then so is MN.

e.Show that if M is in H,then so is MT.

f.For a matrix M in H compute MTM.

g.Which matrices M in H are invertible.If a matrix M in H is invertible isM1 necessarily in H as well?

h. If M and N are in H,does the equationMN=NMalways hold?

Question: If the n×nmatrices Aand Bare symmetric and Bis invertible, which of the matrices in Exercise 13 through 20 must be symmetric as well?role="math" localid="1659492178067" B-1.

Using paper and pencil, find the QR factorization of the matrices in Exercises 15 through 28. Compare with Exercises 1 through 14.

16.[623-623].

The formulaA(ATA)-1 for the matrix of an orthogonalprojection is derived in Exercise 67. Now considerthe QRfactorization of A, and express the matrixA(ATA)-1ATin terms of Q.

If then×n matrices Aand Bare orthogonal, which of the matrices in Exercise 5 through 11 must be orthogonal as well?-B.

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