Use the Gram-Schmidt process to produce an orthogonal basis for the column space of matrix A. - 10 - 18 4 - 30 2 10 6 A = -6 2 -8 - 10 16 16 22 4 2 -6 10 - 18 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.)
Use the Gram-Schmidt process to produce an orthogonal basis for the column space of matrix A. - 10 - 18 4 - 30 2 10 6 A = -6 2 -8 - 10 16 16 22 4 2 -6 10 - 18 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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Transcribed Image Text:Use the Gram-Schmidt process to produce an orthogonal basis for the column space of matrix A.
-10
- 18
4 - 30
2
- 6
10
A =
- 6
2
- 8
- 10
16
16
22
4
2
- 6
10 - 18
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.)
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