S = {w₁ = (1, 0, 1, 0), w₂ = (1, 1, 1, 1), w3 = (2, 2, 0, 2)}.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Related questions
Question
![3. Consider the vector space V = R4 with the standard inner product. Let S be
S = {w₁ = (1,0, 1, 0), w₂
=
(1, 1, 1, 1), w3 = (2, 2, 0, 2)}.
(a) Apply the Gram-Schmidt orthogonalization algorithm to S to compute an orthogonal basis ß' of span(S). You may use that S
is linearly independent.
(b) Use your result from part (a) to compute an orthonormal basis ß of span(S).
(c) Let x = (1, 2, 3, 2) – span(S). Compute the coordinate vector [x] 3.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa574767a-1b28-48ab-9fd0-f3b0aa8802f7%2F572fdc45-9df4-4512-891d-c0eb109b9e57%2F6tahyp5_processed.png&w=3840&q=75)
Transcribed Image Text:3. Consider the vector space V = R4 with the standard inner product. Let S be
S = {w₁ = (1,0, 1, 0), w₂
=
(1, 1, 1, 1), w3 = (2, 2, 0, 2)}.
(a) Apply the Gram-Schmidt orthogonalization algorithm to S to compute an orthogonal basis ß' of span(S). You may use that S
is linearly independent.
(b) Use your result from part (a) to compute an orthonormal basis ß of span(S).
(c) Let x = (1, 2, 3, 2) – span(S). Compute the coordinate vector [x] 3.
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