Chapter test · Grade 12 · Applied Mathematics
Applied Mathematics (CBSE study material) · Ch 3
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40 minutes · 20 questions
If \(A = [a_{ij}]\) is a \(3 \times 3\) matrix with \(a_{ij} = 2i - j\), then \(a_{23}\) equals:
A matrix has 12 elements. How many different orders can it have?
Match each matrix in List I with its type in List II:
Which of the statements above about types of matrices is/are correct?
Assertion (A): The matrix \(\begin{bmatrix} 2 & 0 \\ 1 & 3 \end{bmatrix}\) is a diagonal matrix.
Reason (R): A square matrix in which every element off the main diagonal is zero is called a diagonal matrix.
If \(\begin{bmatrix} x + y & 2 \\ 5 & x - y \end{bmatrix} = \begin{bmatrix} 6 & 2 \\ 5 & 2 \end{bmatrix}\), then:
If \(A = \begin{bmatrix} 1 & -2 & 3 \\ 0 & 4 & 5 \end{bmatrix}\), then \(A'\) is:
Here \(A\) and \(B\) are matrices for which the sum and product are defined. Which of the statements above about transposes is/are correct?
Assertion (A): Every diagonal element of a skew-symmetric matrix is zero.
Reason (R): In a skew-symmetric matrix \(M = [m_{ij}]\), \(m_{ji} = -m_{ij}\) for all \(i\) and \(j\); in particular \(m_{ii} = -m_{ii}\).
For what value of \(k\) is the matrix \(\begin{bmatrix} 0 & 3 & k - 1 \\ -3 & 0 & 5 \\ 4 & -5 & 0 \end{bmatrix}\) skew-symmetric?
The matrix \(A = \begin{bmatrix} 3 & 5 \\ 1 & 2 \end{bmatrix}\) is written as \(A = P + Q\), where \(P\) is symmetric and \(Q\) is skew-symmetric. Then \(Q\) is:
Assertion (A): If \(X\) and \(Y\) are symmetric matrices of the same order, then \(X + Y\) is symmetric.
Reason (R): If \(X\) and \(Y\) are symmetric matrices of the same order, then \(XY\) is always symmetric.
If \(A = \begin{bmatrix} 2 & -1 \\ 3 & 0 \end{bmatrix}\) and \(B = \begin{bmatrix} 1 & 4 \\ -2 & 5 \end{bmatrix}\), then \(2A - B\) is:
A uniform shop keeps its stock in matrices with rows (shirts, trousers) and columns (small, large). Its stock on Monday morning is \(S = \begin{bmatrix} 50 & 30 \\ 40 & 20 \end{bmatrix}\). During the week it sells \(T = \begin{bmatrix} 35 & 12 \\ 18 & 20 \end{bmatrix}\), and on Saturday it receives a delivery \(D = \begin{bmatrix} 10 & 15 \\ 20 & 25 \end{bmatrix}\). Its stock at the end of the week is:
If \(A\) is a \(2 \times 3\) matrix and \(B\) is a \(3 \times 4\) matrix, then the order of \(AB\) is:
If \(A = \begin{bmatrix} 1 & 2 \\ 3 & 4 \end{bmatrix}\) and \(B = \begin{bmatrix} 2 & 0 \\ 1 & 3 \end{bmatrix}\), then \(AB\) is:
For \(A = \begin{bmatrix} 1 & 2 \\ 0 & 3 \end{bmatrix}\), match List I with List II:
Which of the statements above about matrix multiplication is/are correct?
If \(A = \begin{bmatrix} 3 & -2 \\ 4 & -2 \end{bmatrix}\) and \(A^{2} = kA - 2I\), where \(I\) is the identity matrix of order 2, then \(k\) equals:
A carpentry workshop makes chairs and tables. The units of wood, nails and paint needed are given by \(R = \begin{bmatrix} 2 & 1 & 3 \\ 1 & 2 & 2 \end{bmatrix}\) (row 1: one chair, row 2: one table; columns: wood, nails, paint). One unit of wood, nails and paint costs ₹ 50, ₹ 100 and ₹ 40 respectively. Using matrix multiplication, what is the total material cost of an order for 20 chairs and 30 tables?
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