Q.Construct a matrix A=[aij]3×2 whose elements aij are given by aij=5−i(i−j)2.
Concept understanding — Types of Matrices
A matrix is a rectangular array of numbers (or real-valued functions) arranged in rows and columns, enclosed in square brackets. If a matrix A has m rows and n columns, we say A is of order m×n, and write A=[aij]m×n, 1≤i≤m, 1≤j≤n, where aij is the entry common to the ith row and jth column.
The book classifies matrices by shape and pattern of entries:
- Row matrix: only one row, order 1×n.
- Column matrix: only one column, order m×1.
- Zero (null/void) matrix O: every entry is 0.
- Square matrix: number of rows = number of columns, order n×n. The entries a11,a22,…,ann form the principal (main/leading) diagonal.
- Diagonal matrix: a square matrix in which every off-diagonal entry is 0 (i.e. aij=0 whenever i=j); the diagonal entries themselves may be anything, including 0.
- Scalar matrix: a diagonal matrix whose diagonal entries are all equal to the same constant c.
- Unit (identity) matrix In: a diagonal matrix whose diagonal entries are all 1. Every unit matrix is a scalar matrix (with c=1), and every square zero matrix is a (trivial) scalar/diagonal matrix.
- Upper triangular matrix: a square matrix with every entry below the main diagonal equal to 0, i.e. aij=0 for all i>j.
- Lower triangular matrix: a square matrix with every entry above the main diagonal equal to 0, i.e. aij=0 for all i<j.
- Triangular matrix: a matrix that is either upper or lower triangular. A matrix that is simultaneously upper and lower triangular is necessarily a diagonal matrix.
Matrices are commonly represented by capital letters A,B,C,…. In this chapter every entry is a real number or a real-valued function of real variables. Constructing a matrix from a rule aij=f(i,j) simply means substituting every valid pair (i,j) into f and arranging the results in the m×n grid.
Plug i = 1,2,3 and j = 1,2 into aij=5−i(i−j)2 and arrange the six values in a 3×2 grid.
A=031241021
Since A=[aij]3×2, the row index i runs over 1, 2, 3 and the column index j runs over 1, 2. Compute each entry using aij=5−i(i−j)2:
a11=5−1(1−1)2=40=0
a12=5−1(1−2)2=4(−1)2=41
a21=5−2(2−1)2=31
a22=5−2(2−2)2=30=0
a31=5−3(3−1)2=24=2
a32=5−3(3−2)2=21
Arranging in a 3×2 array in row-major order:
A=031241021
Substitute each row index i (1,2,3) and column index j (1,2) into a_ij = (i-j)^2/(5-i) and arrange the six values in a 3×2 grid.
- Using the column index j instead of the row index i in the denominator (5-i), which depends only on i.
- Forgetting the matrix has only 2 columns (j = 1, 2 only), not 3.
- CBSE 2023Set ANNUAL1 markMCQQ.Which of the following is not true about the matrix 100000005?(a) an upper triangular matrix(b) a scalar matrix(c) a lower triangular matrix(d) a diagonal matrix
›Reveal solutionSolution
The matrix has all off-diagonal entries zero (so it IS diagonal, upper-triangular, and lower-triangular), but its diagonal entries 1,0,5 are unequal, so it is NOT a scalar matrix.
Given matrix: 100000005.
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Upper triangular: all entries below the main diagonal are 0. True here.
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Lower triangular: all entries above the main diagonal are 0. True here.
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Diagonal matrix: all off-diagonal entries are 0 (both triangular). True here.
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Scalar matrix: a diagonal matrix where every diagonal entry is the SAME constant k. Here the diagonal is 1,0,5 — not equal, so this is false.
✓Final answer"A scalar matrix" is the statement that is NOT true.
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- CBSE 2022Set M1 markQ.Define a diagonal matrix.
›Reveal solutionSolution
A diagonal matrix is a square matrix with all off-diagonal entries zero.
A square matrix A=[aij] is called a diagonal matrix if all its non-diagonal elements are zero, i.e. aij=0 whenever i=j.
✓Final answerA square matrix in which every entry off the main diagonal is 0 (i.e. aij=0 for i=j).
- CBSE 2022Set ANNUAL1 markQ.Define an identity matrix.
›Reveal solutionSolution
State the definition of an identity matrix.
A square matrix A=[aij]n×n is called an identity matrix if
aij={1,0,i=jiej
i.e. all diagonal entries are 1 and all non-diagonal entries are 0. It is denoted In (or simply I). For example,
I3=100010001
✓Final answerThe identity matrix In is the square matrix with 1's on the diagonal and 0's elsewhere.
- CBSE 2022Set ANNUAL1 markMCQQ.If A=[2a36] is a singular matrix, then a= ______.(a) 6(b) −5(c) 3(d) 4
›Reveal solutionSolution
A matrix is singular exactly when detA=0. For A=[2a36] this forces 12−3a=0, i.e. a=4.
For a 2×2 matrix [prqs] the determinant is ps−qr.
Here
detA=(2)(6)−(3)(a)=12−3a.
The matrix is singular, which means its determinant vanishes:
12−3a=0.
Solving, 3a=12, so a=4.
✓Final answera=4 — option (d).
- CBSE 2019Set ANNUAL1 markMCQQ.Which one of the following is not true about the matrix 100000005?(a) an upper triangular matrix(b) a lower triangular matrix(c) a scalar matrix(d) a diagonal matrix
›Reveal solutionSolution
The matrix has zero everywhere off the main diagonal, making it diagonal (and so also upper- and lower-triangular), but its diagonal entries 1,0,5 are unequal, so it is NOT a scalar matrix.
The matrix is 100000005.
A matrix is a diagonal matrix if every off-diagonal entry is 0 — true here, since all entries except the (1,1), (2,2), (3,3) positions are already 0. This makes (d) true.
A diagonal matrix is automatically both upper triangular (nothing below the diagonal) and lower triangular (nothing above the diagonal), making (a) and (b) both true.
A scalar matrix additionally requires all diagonal entries to be equal to the same constant k. Here the diagonal entries are 1,0,5 — not all equal — so it is NOT a scalar matrix, making (c) the false (i.e. "not true") statement.
✓Final answerThe correct option is (c) a scalar matrix.
- CBSE 2018Set ANNUAL1 markQ.Define identity matrix.
›Reveal solutionSolution
definition recall
The identity matrix In of order n is the square matrix in which every diagonal element is 1 and every off-diagonal element is 0, i.e. I=[aij] where aij=1 if i=j and aij=0 if i=j. It satisfies AI=IA=A for any compatible matrix A.
✓Final answerThe identity matrix has 1's on the leading diagonal and 0's everywhere else.
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