A. A is non singular and the rows and columns of A are linearly independent
B. A is non-singular and the rows and columns of A are linearly dependent
C. A is non-singular and A has one zero rows
D. A is singular
E. A is singular and rows and columns of A are linearly dependent
Choose the correct answer from the options given below :
We are given a square matrix $A$ of size $n \times n$ from the set of real numbers ($A \in R_{n \times n}$). The key information provided is that the determinant of this matrix is zero.
The condition is stated as: $ \det A = 0 $
In linear algebra, the determinant of a matrix provides critical information about its properties. Specifically:
Given that $\det A = 0$, the matrix $A$ must be singular according to the definition.
Let's analyze the options based on the fact that $A$ is singular:
The condition $\det A = 0$ directly and solely implies that the matrix $A$ is singular.