Linear Algebra and Its Applications (5th Edition)

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

Chapter 2 - Matrix Algebra - 2.7 Exercises - Page 147: 22

Answer

\[ \left[\begin{array}{c} R \\ G \\ B \end{array}\right]=\left[\begin{array}{ccc} 1.0031 & .9548 & .6179 \\ .9968 & -.2707 & -.6448 \\ 1.0085 & -1.1105 & 1.6996 \end{array}\right]\left[\begin{array}{c} Y \\ I \\ Q \end{array}\right] \]

Work Step by Step

Every matrix equation of the type $A X=Y$ can be tranformed to $X=$ $A^{-1} Y$ As: \[ \left[\begin{array}{c} R \\ G \\ B \end{array}\right]=\left[\begin{array}{ccc} .299 & .587 & .114 \\ .596 & -.275 & -.321 \\ .212 & -.528 & .311 \end{array}\right]^{-1}\left[\begin{array}{c} Y \\ I \\ Q \end{array}\right] \] By putting matrix $A=\left[\begin{array}{ccc}299 & .587 & .114 \\ .596 & -.275 & -.321 \\ .212 & -.528 & .311\end{array}\right]$ in Matlab and use command $\operatorname{inv}(A)$ to find its inverse. Result is: \[ \left[\begin{array}{c} R \\ G \\ B \end{array}\right]=\left[\begin{array}{ccc} 1.0031 & .9548 & .6179 \\ .9968 & -.2707 & -.6448 \\ 1.0085 & -1.1105 & 1.6996 \end{array}\right]\left[\begin{array}{c} Y \\ I \\ Q \end{array}\right] \]
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