Final answer:
If a matrix has linearly independent rows, the rank of the matrix is equal to the number of rows, the determinant is non-zero, and the matrix is invertible.
Step-by-step explanation:
If a matrix has linearly independent rows, it means that no row can be written as a linear combination of the other rows. In other words, the rows are not redundant and provide unique information. Based on this, we can deduce that if a matrix has linearly independent rows:
- The rank of the matrix is equal to the number of rows.
- The determinant of the matrix is non-zero.
- The matrix is invertible (i.e., it has an inverse).