Use the Gram-Schmidt process to produce an orthogonal basis for the column space of matrix A. An orthogonal basis for the column space of matrix A is (Type a vector or list of vectors. Use a comma to separate vectors as needed.)

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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Use the Gram-Schmidt process to produce an orthogonal basis for the column space of matrix A.
An orthogonal basis for the column space of matrix A is
(Type a vector or list of vectors. Use a comma to separate vectors as needed.)
Transcribed Image Text:Use the Gram-Schmidt process to produce an orthogonal basis for the column space of matrix A. An orthogonal basis for the column space of matrix A is (Type a vector or list of vectors. Use a comma to separate vectors as needed.)
A =
-9
1
-6
15
1
-11 -18
- 18 - 27
-2 -2
0
-4 -11 - 16
15
8 1
-2 -2 -10
Transcribed Image Text:A = -9 1 -6 15 1 -11 -18 - 18 - 27 -2 -2 0 -4 -11 - 16 15 8 1 -2 -2 -10
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