Find the rank of matrix A = [[2, 3, -4], [-2, 3, 7], [1, 9, -13]]
Understand the Problem
The question is asking to find the rank of a given matrix A, which involves evaluating the matrix's properties to determine its rank based on linear independence of its rows or columns.
Answer
The rank of the matrix $A$ is 3.
Answer for screen readers
The rank of the matrix $A$ is 3.
Steps to Solve
- Write down the matrix A
The given matrix A is:
$$ A = \begin{bmatrix} 2 & 3 & -4 \ -2 & 3 & 7 \ 1 & 9 & -13 \end{bmatrix} $$
- Row Reduction
We need to perform row operations to reduce the matrix to Row Echelon Form (REF).
- First, we will swap Row 1 and Row 2 for convenience:
$$ A = \begin{bmatrix} -2 & 3 & 7 \ 2 & 3 & -4 \ 1 & 9 & -13 \end{bmatrix} $$
- Next, we will scale Row 1 by multiplying it by $-\frac{1}{2}$:
$$ R_1 \leftarrow -\frac{1}{2} R_1 $$
Resulting in:
$$ A = \begin{bmatrix} 1 & -\frac{3}{2} & -\frac{7}{2} \ 2 & 3 & -4 \ 1 & 9 & -13 \end{bmatrix} $$
- Eliminate the first column below Row 1
Now we eliminate the elements below the leading 1 in Column 1:
-
For Row 2: $$ R_2 \leftarrow R_2 - 2R_1 $$
-
For Row 3: $$ R_3 \leftarrow R_3 - 1R_1 $$
Resulting in:
$$ A = \begin{bmatrix} 1 & -\frac{3}{2} & -\frac{7}{2} \ 0 & 6 & 3 \ 0 & \frac{21}{2} & -\frac{13}{2} \end{bmatrix} $$
- Continue Row Reduction
Now we simplify Row 2:
- Scale Row 2 by multiplying it by $\frac{1}{6}$:
$$ R_2 \leftarrow \frac{1}{6} R_2 $$
Resulting in:
$$ A = \begin{bmatrix} 1 & -\frac{3}{2} & -\frac{7}{2} \ 0 & 1 & \frac{1}{2} \ 0 & \frac{21}{2} & -\frac{13}{2} \end{bmatrix} $$
- Eliminate the second column below Row 2
Eliminate the entry below Row 2:
- For Row 3: $$ R_3 \leftarrow R_3 - \frac{21}{2} R_2 $$
Resulting in:
$$ A = \begin{bmatrix} 1 & -\frac{3}{2} & -\frac{7}{2} \ 0 & 1 & \frac{1}{2} \ 0 & 0 & -\frac{17}{2} \end{bmatrix} $$
- Final Row Echelon Form and Count Rows
Now our matrix is in Row Echelon Form, and we see that there are three non-zero rows. Thus, the rank of the matrix is 3.
The rank of the matrix $A$ is 3.
More Information
In linear algebra, the rank of a matrix is the dimension of the vector space generated by its rows or columns. It indicates the maximum number of linearly independent row or column vectors.
Tips
- Mixing up the order of row operations can lead to errors in the final matrix form.
- Not simplifying fractions properly during row operations.
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