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Linear Algebra With Applications
Found in: Page 234
Linear Algebra With Applications

Linear Algebra With Applications

Book edition 5th
Author(s) Otto Bretscher
Pages 442 pages
ISBN 9780321796974

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Short Answer

Consider a QR factorization

M=QR Show that R=QTM.

R=QTM

See the step by step solution

Step by Step Solution

Step 1: QR factorization.

Consider an n × m matrix M with linearly independent column v1,....,vm.Then there exists an n × m matrix Q whose columns u11,....,u1mare orthonormal and an upper triangular matrix R with positive diagonal entries such that.

M=QR

To prove that R=QTM

Since, the column of the matrix Q is orthonormal and therefore it gives,

QQT=l =QTQ

Thus, it is written as,

M=QR QTM=QQR QTM=IR R=QTM

Hence, R=QTMproved.

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