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Determine if the columns of the matrix form a linearly independent set. Justify

ID: 3034698 • Letter: D

Question

Determine if the columns of the matrix form a linearly independent set. Justify your answer. [-2 -1 0 0 -1 6 1 1 -12 2 1 -24] Select the correct choice below and fill in the answer box within your choice. (Type an integer or simplified fraction for each matrix element.) If A is the given matrix, then the augmented matrix represents the equation Ax = 0. The reduced echelon form of this matrix indicates that Ax = 0 has only the trivial solution. Therefore, the columns of A do not form a linearly independent set. If A is the given matrix, then the augmented matrix represents the equation Ax = 0. The reduced echelon form of this matrix indicates that Ax = 0 has more than one solution. Therefore, the columns of A form a linearly independent set. If A is the given matrix, then the augmented matrix represents the equation Ax = 0. The reduced echelon form of this matrix indicates that Ax = 0 has only the trivial solution. Therefore, the columns of A form a linearly independent set If A is the given matrix, then the augmented matrix represents the equation Ax = 0. The reduced echelon form of this matrix indicates that Ax = 0 has more than one solution. Therefore, the columns of A do not form a linearly independent set.

Explanation / Answer

The RREF of the given matrix is

1

0

0

0

1

0

0

0

1

0

0

0

Therefore, the columns of A are linearly indepredent.

Option C is the correct answer. If A is the given matrix, then the augmented matrix

-2

-1

0

0

0

-1

6

0

1

1

-12

0

2

-1

-24

0

represents the equation Ax = 0.The reduced echelon form of this matrix indicates that Ax = 0 has only the trivial solution. Therefore, the columns of A form a linearly independent set. If the equation Ax = 0 has only the trivial solution , then A can be row reduced to the identity matrix. Hence the columns of A are linearly independent. Here, the given system has 4 linear equations in 3 variables, one of which is redundant.

1

0

0

0

1

0

0

0

1

0

0

0

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