Top 80+ Solved Mathematics for Economic Analysis MCQ Questions Answer
Q. A diagonal matrix whose diagonal elements are equal is called
a. unit matrix
b. singular matrix
c. scalar matrix
d. non-singular matrix
Q. A square matrix A of order mxn is called an upper triangular matrix if aij = ofor all
a. i > j
b. i < j
c. i = j
d. all of the above
Q. If A & B are symmetric matrices, then A + B is
a. symmetric
b. non-symmetric
c. skew symmetric
d. non-skew symmetric
Q. For any square matrix A of order ‘n’, A +AT is
a. skew symmetric
b. non-skew symmetric
c. symmetric
d. non-symmetric
Q. For any square matrix A of order ‘n’, A - AT is
a. skew symmetric
b. non-skew symmetric
c. symmetric
d. non-symmetric
Q. If matrix A is comfortable for multiplication the (AB)T is equal to
a. (ba)t
b. btat
c. atbt
d. at+bt
Q. If A is a square matrix of order ‘n’ and I is the unit matrix of the same order,then AI is equal to
a. a
b. ia
c. i
d. both (a) & (b)
Q. The determinant of a matrix and that of its transpose are
a. equal
b. zero
c. one
d. negatively related
Q. If two rows or columns of a determinant A are identical, then the value of the determinant is School of Distance Education Mathematics for Economic Analysis (II Semester) Page 12
a. equal
b. zero
c. one
d. negatively related
Q. If every element of a raw or column of a square matrix A is zero, then the value of the determinant is
a. equal
b. one
c. zero
d. not equal
Q. If each element of a raw or column is a sum of two elements, the determinant can be expressed as the
a. sum of two determinants
b. difference of two determinants
c. multiplication of two determinants
d. division of two determinants
Q. A square matrix A such that A2 = A is called
a. orthogonal matrix
b. skew symmetric matrix
c. idempotent matrix
d. singular matrix
Q. If A& B are symmetric matrix, then AB – BA is
a. symmetric
b. skew symmetric matrix
c. idempotent matrix
d. orthogonal matrix
Q. The transpose of the cofactor matrix is called
a. adjoint of the matrix
b. power of a matrix
c. minor of the matrix
d. rank of a matrix