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    Algebra — AQA GCSE Further Mathematics

    Teaching note based on the AQA specification.

    Test yourself on Algebra with AQA GCSE practice questions.

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    Algebra explained

    This statement asks you to know the identity matrix for a 2 × 2 matrix only, so you should not extend it to 3 × 3 or other sizes in the assessment.

    Read the full explanation

    The 2 × 2 identity matrix I has ones on the leading diagonal and zeros elsewhere: I = [[1, 0], [0, 1]]. Its key property is that it leaves any 2 × 2 matrix unchanged when multiplied, so I × A = A and A × I = A. For example, [[1, 0], [0, 1]] × [[2, 1], [0, 3]] gives [[2, 1], [0, 3]], because each entry of the product is a row of I multiplied by a column of A. Recognising I helps you simplify expressions and check working quickly.

    Your focus

    1. Write the 2 × 2 identity matrix from memory.
    2. Show by calculation that I × A = A for a given 2 × 2 matrix A.
    3. Identify the identity matrix in a 2 × 2 product and simplify the product accordingly.

    Algebra exam tips

    Marking Points
    • States I as [[1, 0], [0, 1]], with ones on the leading diagonal and zeros elsewhere.
    • Keeps the matrix to two rows and two columns, matching the 2 × 2 scope.
    • Shows that I × A = A and A × I = A for a given 2 × 2 matrix A.
    • Multiplies row by column correctly for each entry when checking a product with I.
    • Distinguishes the identity matrix from the number 1 by its matrix form.
    Examiner Tips
    • 💡Write out the 2 × 2 grid with four entries before filling it in, so the diagonal positions are clear.
    • 💡Check a product by confirming that the result equals the original matrix A when I is multiplied on either side.
    • 💡Use the 2 × 2 form only when the question specifies a 2 × 2 matrix, and state its size in your working.
    Common Mistakes
    • Writes the 3 × 3 identity matrix when the question asks for the 2 × 2 case; keep to two rows and two columns.
    • Places 1s off the leading diagonal, such as [[0, 1], [1, 0]], which is a different matrix; keep the 1s from top left to bottom right.
    • Multiplies entries position by position instead of row by column; use the row-by-column rule for every entry of the product.
    • Treats I as a matrix of all ones; keep zeros in the off-diagonal positions.