Linear Algebra and Its Applications (5th Edition)

Published by Pearson
ISBN 10: 032198238X
ISBN 13: 978-0-32198-238-4

Chapter 2 - Matrix Algebra - 2.1 Exercises - Page 103: 13

Answer

$\begin{bmatrix}Q\vec{r}_{1}&\cdots&Q\vec{r}_{p}\end{bmatrix}=QR$, where $R=\begin{bmatrix}\vec{r}_{1}&\cdots&\vec{r}_{p}\end{bmatrix}$.

Work Step by Step

This is simply the definition of the matrix product, where we are given the columns of $R$ instead of the matrix $R$ itself. Note that $Q$ is $m\times n$ and $R$ is $n\times p$, so $QR$ is an $m\times p$ matrix.
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