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4 12 16 9 14 Let A = 2 5 11 13 We want to determine if the columns of matrix A and are linearly independent. To do that we row reduce A. To do this we add 5/6 We then add 5/6 We then add 4/3 We conclude that times the first row to the second. times the first row to the third. times the new second row to the new third row. OA. The columns of A are linearly dependent. OB. The columns of A are linearly independent. OC. We cannot tell if the columns of A are linearly independent or not.

4 12 16 9 14 Let A = 2 5 11 13 We want to determine if the columns of matrix A and are linearly independent. To do that we row reduce A. To do this we add 5/6 We then add 5/6 We then add 4/3 We conclude that times the first row to the second. times the first row to the third. times the new second row to the new third row. OA. The columns of A are linearly dependent. OB. The columns of A are linearly independent. OC. We cannot tell if the columns of A are linearly independent or not.

Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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12 16 9 14 11 13 We want to determine if the columns of matrix A and are linearly independent. To do that we row reduce A. 4 2 5 Let A = To do this we add 5/6 We then add 5/6 We then add 4/3 We conclude that times the first row to the second. times the first row to the third. times the new second row to the new third row. A. The columns of A are linearly dependent. OB. The columns of A are linearly independent. C. We cannot tell if the columns of A are linearly independent or not.
Transcribed Image Text:12 16 9 14 11 13 We want to determine if the columns of matrix A and are linearly independent. To do that we row reduce A. 4 2 5 Let A = To do this we add 5/6 We then add 5/6 We then add 4/3 We conclude that times the first row to the second. times the first row to the third. times the new second row to the new third row. A. The columns of A are linearly dependent. OB. The columns of A are linearly independent. C. We cannot tell if the columns of A are linearly independent or not.
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