Determine the non-singular matrices P & Q such that PAQ is in the normal form for A. A = [2 1 -3 -6; 3 -3 1 2; 1 1 1 2]. Hence find the rank of A.
Understand the Problem
The question is asking to determine non-singular matrices P and Q such that the product PAQ is in normal form, and subsequently find the rank of matrix A.
Answer
The rank of matrix \( A \) is \( 3 \).
Answer for screen readers
The rank of matrix ( A ) is ( 3 ).
Steps to Solve
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Identify the matrix A
We start with the matrix $$ A = \begin{bmatrix} 2 & 1 & -3 & -6 \ 3 & -3 & 1 & 2 \ 1 & 1 & 1 & 2 \end{bmatrix} $$
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Find the rank of matrix A
The rank of a matrix is the maximum number of linearly independent row or column vectors. We can use row reduction to echelon form (REF) to find the rank.
Row Operations:
- Swap Row 1 and Row 2: $$ \begin{bmatrix} 3 & -3 & 1 & 2 \ 2 & 1 & -3 & -6 \ 1 & 1 & 1 & 2 \end{bmatrix} $$
- Replace Row 2 and Row 3 to eliminate the leading coefficients:
- Row 2: ( R_2 - \frac{2}{3}R_1 )
- Row 3: ( R_3 - \frac{1}{3}R_1 )
The updated matrix now looks like: $$ \begin{bmatrix} 3 & -3 & 1 & 2 \ 0 & 3 & -7 & -8 \ 0 & 2 & \frac{2}{3} & \frac{5}{3} \end{bmatrix} $$
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Continue with row reduction
From the current matrix, continue to simplify:
- Make Row 2 the leading row by dividing by 3: $$ \begin{bmatrix} 3 & -3 & 1 & 2 \ 0 & 1 & -\frac{7}{3} & -\frac{8}{3} \ 0 & 2 & \frac{2}{3} & \frac{5}{3} \end{bmatrix} $$
- Now eliminate the leading coefficient in Row 3:
- Row 3: ( R_3 - 2R_2 )
The resulting matrix becomes: $$ \begin{bmatrix} 3 & -3 & 1 & 2 \ 0 & 1 & -\frac{7}{3} & -\frac{8}{3} \ 0 & 0 & 6 & 8 \end{bmatrix} $$
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Determine the rank
The resulting echelon form shows three non-zero rows. Therefore, the rank of matrix A is:
$$ \text{Rank}(A) = 3 $$
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Find matrices P and Q
To find non-singular matrices ( P ) and ( Q ) such that ( PAQ ) is in normal form, we can select:
$$ P = I $$ (identity matrix) and $$ Q = \begin{bmatrix} 1 & 0 & 0 \ 0 & 1 & 0 \ 0 & 0 & 1 \ 0 & 0 & 0 \end{bmatrix} $$
This will effectively keep the result as ( A ).
The rank of matrix ( A ) is ( 3 ).
More Information
The rank of a matrix indicates the dimension of the vector space generated by its rows or columns. In this case, a rank of 3 means there are 3 linearly independent rows or columns in the matrix ( A ).
Tips
A common mistake is to miscount the number of non-zero rows in the row echelon form. Always check that the leading coefficient of each row is in a distinct column.
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