l

123456789
Across
  1. 3. A square matrix that has non-zero elements in its diagonal part running from the upper left to the lower right or vice versa.
  2. 5. A′ = – A, that is aji = – aij for all possible values of i and j
  3. 7. A matrix that has an equal number of rows and columns. It is expressed as m × m.
  4. 9. A row matrix is a 1 × m matrix, consisting of a single row of m elements. It is also called a row vector
Down
  1. 1. A column matrix is an m × 1 matrix, consisting of a single column of m elements. It is also called a column vector.
  2. 2. Matrix whose all entries are zero. It is also called a null matrix.
  3. 4. A square matrix that has all its principal diagonal elements as 1’s and all non-diagonal elements as zeros.
  4. 6. If A = [aij] be an m × n matrix, then the matrix obtained by interchanging the rows and columns of A
  5. 7. The scalar matrix is a square matrix, which has all its diagonal elements equal and all the off-diagonal elements as zero.
  6. 8. the transpose of A is equal to A, that is, [aij] = [aji] for all possible values of i and j.