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: 7

Answer

See below

Work Step by Step

According to Gram-Schmidt process, we have: $v_1=x_1=(1,0,-1,0)\\ v_2=x_2-\frac{}{||v_1||^2}v_1\\ =(1,1,-1,0)-\frac{)}{||(1,0,-1,0)||^2}(1,0,-1,0)\\ =(1,1,-1,0)-\frac{1.1+1.0+(-1).(-1)}{1^2+0^2+(-1)^2+0^2}(1,1,-1,0)\\ =(1,1,-1,0)-\frac{1+0+1+0}{2}(1,0,-1,0)\\ =(1,1,-1,0)+(1,0,-1,0)\\ =(0,1,0,0)$ $v_3=x_3-\frac{}{||v_1||^2}v_1-\frac{}{||v_2||^2}v_2-(-6,0,-2)\\ =(-1,1,0,1)-\frac{)}{||(1,0,-1,0)||^2}(2,0,1)-\frac{)}{||(0,1,0,0)||^2}(0,1,0,0)\\ =(-1,1,0,1)-\frac{-1.1+1.0+0.(-1)+1.0}{(-1)^2+0^2+1^2+0^2}(1,0,-1,0)-\frac{0.(-1)+1.1+0.0+1.0}{||0^2+1^2+0^2+0^2}(0,1,0,0)\\ =(-1,1,0,1)+(\frac{1}{2},0,-\frac{1}{2},0)-2.(0,1,0,0)\\ =(-\frac{1}{2},0,-\frac{1}{2},1)$ To determine an orthogonal set, we obtain: $\frac{v_1}{||v_1||}=\frac{(1,0,-1,0)}{\sqrt 1^2+0^2+(-1)^2+0^2}=\frac{(1,0,-1,0)}{\sqrt 2}=(\frac{1}{\sqrt 2},0,-\frac{1}{\sqrt 2},0)$ $\frac{v_2}{||v_2||}=\frac{(0,1,0,0)}{\sqrt 1}=(0,1,0,0)$ $\frac{v_3}{||v_3||}=\frac{(-\frac{1}{2},0,-\frac{1}{2},0)}{\sqrt \frac{3}{2}}=\frac{2}{\sqrt 6}(-\frac{1}{2},0,-\frac{1}{2},1)=(-\frac{1}{\sqrt 6},0,-\frac{1}{\sqrt 6},\frac{2}{\sqrt 6})$ Hence, a corresponding orthonormal set of vector is : $\{(\frac{1}{\sqrt 2},0,-\frac{1}{\sqrt 2},0);(0,1,0,0);(-\frac{1}{\sqrt 6},0,-\frac{1}{\sqrt 6},\frac{2}{\sqrt 6})\}$
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