Question #219489

find basis and dimension of the subspace W of V spanned by A = [[1 2] [-1 3]], B = [[2 5] [1 -1]], C = [[5 12] [1 1]], D= [[3 4] [-2 5]]


1
Expert's answer
2021-07-22T18:29:02-0400

We first consider each matrix as a vector in R4\mathbb{R}^4 to get a 4×44×4 matrix.

[12532512411123115]\begin{bmatrix} 1 & 2 & 5 & 3 \\ 2 & 5 & 12 & 4 \\ -1 & 1 & 1 & -2 \\ 3 & -1 & 1 & 5 \end{bmatrix}

We now reduce the matrix to row echelon form.

Add 2-2 times the 1st row to the 2nd row to get

[1253012211123115]\begin{bmatrix} 1 & 2 & 5 & 3 \\ 0 & 1 & 2 & -2 \\ -1 & 1 & 1 & -2 \\ 3 & -1 & 1 & 5 \end{bmatrix}

Add the 1st row to the 3rd row to get

[1253012203613115]\begin{bmatrix} 1 & 2 & 5 & 3 \\ 0 & 1 & 2 & -2 \\ 0 & 3 & 6 & 1 \\ 3 & -1 & 1 & 5 \end{bmatrix}

Add 3-3 times the 1st row to the 4th row to get

[12530122036107144]\begin{bmatrix} 1 & 2 & 5 & 3 \\ 0 & 1 & 2 & -2 \\ 0 & 3 & 6 & 1 \\ 0 & -7 & -14 & -4 \end{bmatrix}

Add 3-3 times the 2nd row to the 3rd row to get

[12530122000707144]\begin{bmatrix} 1 & 2 & 5 & 3 \\ 0 & 1 & 2 & -2 \\ 0 & 0 & 0 & 7 \\ 0 & -7 & -14 & -4 \end{bmatrix}

Add 77 times the 2nd row to the 4th row to get

[12530122000700018]\begin{bmatrix} 1 & 2 & 5 & 3 \\ 0 & 1 & 2 & -2 \\ 0 & 0 & 0 & 7 \\ 0 & 0 & 0 & -18 \end{bmatrix}

Multiply the 3rd row by 17\frac{1}{7} to get

[12530122000100018]\begin{bmatrix} 1 & 2 & 5 & 3 \\ 0 & 1 & 2 & -2 \\ 0 & 0 & 0 & 1 \\ 0 & 0 & 0 & -18 \end{bmatrix}

Add 1818 times the 3rd row to the 4th row to get

[1253012200010000]\begin{bmatrix} 1 & 2 & 5 & 3 \\ 0 & 1 & 2 & -2 \\ 0 & 0 & 0 & 1 \\ 0 & 0 & 0 & 0 \end{bmatrix}

Add 22 times the 3rd row to the 2nd row to get

[1253012000010000]\begin{bmatrix} 1 & 2 & 5 & 3 \\ 0 & 1 & 2 & 0 \\ 0 & 0 & 0 & 1 \\ 0 & 0 & 0 & 0 \end{bmatrix}

Add 3-3 times the 3rd row to the 1st row to get

[1250012000010000]\begin{bmatrix} 1 & 2 & 5 & 0 \\ 0 & 1 & 2 & 0 \\ 0 & 0 & 0 & 1 \\ 0 & 0 & 0 & 0 \end{bmatrix}

Add 2-2 times the 2nd row to the 1st row to get

[1010012000010000]\begin{bmatrix} 1 & 0 & 1 & 0 \\ 0 & 1 & 2 & 0 \\ 0 & 0 & 0 & 1 \\ 0 & 0 & 0 & 0 \end{bmatrix}

The pivots are in the 1st, 2nd and 4th column. Also, the 3rd column is the sum of the 1st column and two times the 2nd column, so it is linearly dependent. So the 1st, 2nd and 4th columns are linearly independent and form a basis for WW. Hence a basis for WW is {A,B,D}\{A,B,D\}, and the dimension of WW is 33.


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