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Exercise 3.1 · Q8

Q.A = [aij]m×n[a_{ij}]_{m \times n} is a square matrix, if (A) m<nm < n (B) m>nm > n (C) m=nm = n (D) None of these

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A square matrix has the same number of rows and columns. For matrix A=[aij]m×nA = [a_{ij}]_{m \times n}, this means m=nm = n. The correct option is (C).

The definition of a square matrix is one of the first things you learn in matrix algebra, and it’s beautifully simple. A matrix is just a rectangular arrangement of numbers, and its size is given by the number of rows (mm) and columns (nn). The word “square” comes from geometry — a square has equal sides. Similarly, a square matrix has equal dimensions: the row count equals the column count.

Let’s walk through the options:

  1. Option (A): m<nm < n

    If the number of rows is less than the number of columns, the matrix is “tall” or “portrait” shaped — it’s rectangular, not square. For example, a 2×32 \times 3 matrix has 2 rows and 3 columns. This is not square.

  2. Option (B): m>nm > n

    Here, rows outnumber columns — a “wide” or “landscape” rectangle. A 4×24 \times 2 matrix is rectangular, not square.

  3. Option (C): m=nm = n

    This is the only case where the matrix has the same number of rows and columns. For instance, a 3×33 \times 3 matrix is square. The notation [aij]n×n[a_{ij}]_{n \times n} is often used for square matrices, where ii and jj both run from 1 to nn.

  4. Option (D): None of these …

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