Differential Equations and Linear Algebra (4th Edition)

Published by Pearson
ISBN 10: 0-32196-467-5
ISBN 13: 978-0-32196-467-0

Chapter 5 - Inner Product Spaces - 5.3 The Gram-Schmidt Process - Problems - Page 365: 11

Answer

See below

Work Step by Step

Determine basis for rowspace $(A)$: $A=\begin{bmatrix} 1 & -3 & 2 & 0 & 1\\ 4 & -9 & -1 & 1 & 2 \end{bmatrix} \approx \begin{bmatrix} 1 & -3 & 2 & 0 & 1\\ 0 & 3 & -9 & 1 & 6 \end{bmatrix}$ Basic for rowspace$(A)$ is $\{(1,-3,2,0,-1),(4,-9,-1,1,2)\}$ According to Gram-Schmidt process, we have: $v_1=x_1=(1,-3,2,0,-1)\\ v_2=x_2-\frac{}{||v_1||^2}v_1\\ =(4,-9,-1,1,2)-\frac{)}{||(1,-3,2,0,-1)||^2}(1,-3,2,0,-1)\\ =(4,-9,-1,1,2)-\frac{4.1+(-9).(-3)+(-1).2+1.0+2.(-1)}{1^2+(-3)^2+2^2+0^2+(-1)^2}(1,-3,2,0,-1)\\ =(4,-9,-1,1,2)-\frac{4+27-2+0-2}{1+9+4+0+1}(1,-3,2,0,-1)\\ =(4,-9,-1,1,2)+\frac{9}{5}(1,-3,2,0,-1)\\ =\frac{1}{5}(11,-18,-23,5,19)$ Hence, an orthogonal basis for rowspace $(A)$ is: $\{(1,-3,2,0,-1);\frac{1}{5}(11,-18,-23,5,19)\}$ Let $y_1=(1,4)\\ y_2=(0,1)$ Apply Gram- Schmidt $v_1=y_1=(1,4)\\ v_2=y_2-\frac{}{||v_1||^2}v_1\\ =(0,1)-\frac{}{||(1,4)||^2}(1,4)\\ =(0,1)-\frac{0.1+1.4}{1^2+4^2}(1,4)\\ =(0,1)-\frac{1+4}{17}(1,4)\\ =\frac{1}{17}(-4,1)$ Consequently, an orthogonal basis for colspace $(A)$ is $\{(1,4),\frac{1}{17}(-4,1)\}$
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