The determinant of a square matrix is defined only for
A
Rectangular matrices
B
Square matrices
C
Any matrix
D
Diagonal matrices only
Analysis & Theory
Determinants exist only for square matrices.
The determinant of a 2×2 matrix [[a, b], [c, d]] is
A
a+b+c+d
B
ad − bc
C
ab + cd
D
abcd
Analysis & Theory
For 2×2 matrix, determinant = ad − bc.
If any two rows (or columns) of a determinant are identical, then the determinant is
A
Positive
B
Negative
C
Zero
D
One
Analysis & Theory
Determinant becomes zero if two rows or columns are identical.
The value of determinant of identity matrix of order n is
A
0
B
1
C
n
D
n!
Analysis & Theory
Identity matrix determinant is always 1, for any order n.
If one row (or column) of a determinant is multiplied by k, then the value of determinant is
A
Unchanged
B
Multiplied by k
C
Divided by k
D
Always zero
Analysis & Theory
Scaling one row (or column) scales determinant by the same factor k.
The determinant of a triangular matrix (upper or lower) is equal to
A
Sum of diagonal elements
B
Product of diagonal elements
C
Zero
D
Always 1
Analysis & Theory
For triangular matrices, determinant = product of diagonal elements.
If the rows and columns of a determinant are interchanged (transpose), then determinant value
A
Becomes negative
B
Remains unchanged
C
Becomes zero
D
Doubles
Analysis & Theory
Determinant of a matrix and its transpose are the same.
If A and B are two square matrices of same order, then |AB| =
A
|A| + |B|
B
|A| × |B|
C
|A| − |B|
D
|A|/|B|
Analysis & Theory
Property: |AB| = |A| × |B|.
The determinant of a matrix with one row (or column) zero is
A
Zero
B
One
C
Infinity
D
Same as order of matrix
Analysis & Theory
If any row/column is entirely zero, determinant = 0.
Determinants are mainly used for
A
Finding transpose
B
Finding inverse and solving linear equations
C
Matrix addition
D
Matrix subtraction
Analysis & Theory
Determinants are used in inverse computation and solving linear systems (Cramer's rule).