The 'order' of a matrix, simply put, is a term used to describe its dimensions. It's given in the format of 'rows × columns'. Understanding the order of a matrix is crucial because it determines the matrix's shape and the kind of operations we can perform on it.
For example, in our textbook problem, we see matrix orders such as 2 × 3 and 3 × 2. The first number always refers to the number of rows, and the second number refers to the columns. So a 2 × 3 matrix has 2 rows and 3 columns. When performing matrix operations, the order often dictates whether the operation can proceed; it's like making sure puzzle pieces fit together before attempting to connect them.
- In matrix multiplication, the inner dimensions must match.
- In matrix addition and subtraction, the orders must be exactly the same.
- The resulting matrix after an operation takes its order from the outer dimensions of the matrices involved in multiplication or keeps the same order for addition or subtraction.
This concept is reflected in our exercise, as it shows that we have to consider the orders of matrices when attempting to perform operations like multiplication and subtraction.