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: 3

Answer

$\{(\frac{2}{3},\frac{1}{3},-\frac{2}{3}),(\frac{-1}{3\sqrt 2},\frac{4}{3\sqrt 2},\frac{1}{3\sqrt 2})\}$

Work Step by Step

Let $x_1=(2,1,-2) \\ x_2=(1,3,-1)$ According to Gram-Schmidt process, we have: $v_1=x_1=(2,1,-2)\\ v_2=x_2-\frac{}{||v_1||^2}v_1\\ =(1,3,-1)-\frac{((2,1,-2),(1,3,-1))}{||(2,1,-2)||^2}(2,1,-2) \\ =(1,3,-1)-\frac{2.1+1.3+(-1).(-2)}{1^2+1^2+(-1)^2}(2,1,-2)\\ =(-\frac{5}{9},\frac{20}{9},\frac{5}{9})$ To determine an orthogonal set, we obtain: $\frac{v_1}{||v_1||}=\frac{(2,1,-2)}{\sqrt 2^2+1^2+(-2)^2}=\frac{(2,1,-2)}{\sqrt 9}=(\frac{2}{3},\frac{1}{3},-\frac{2}{3})$ $\frac{v_2}{||v_2||}=\frac{(\frac{-5}{9},\frac{20}{9},\frac{5}{9})}{\sqrt (\frac{-5}{9})^2+(\frac{20}{9})^2+(\frac{5}{9})^2}=\frac{(\frac{-5}{9},\frac{20}{9},\frac{5}{9})}{\sqrt \frac{450}{81}}=(\frac{-1}{3\sqrt 2},\frac{4}{3\sqrt 2},\frac{1}{3\sqrt 2})$ Hence, a corresponding orthonormal set of vector is : $\{(\frac{2}{3},\frac{1}{3},-\frac{2}{3}),(\frac{-1}{3\sqrt 2},\frac{4}{3\sqrt 2},\frac{1}{3\sqrt 2})\}$
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