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AS & A Level · AS/A Level

Further Mathematics

Matrix transformations and eigenvectors

Name: ____________________Date: October 10, 2026
  1. 1.

    Column vectors are first reflected in y = x by S = [[0,1],[1,0]], then stretched parallel to x by D = [[2,0],[0,1]]. Find the combined matrix and image of (3,-1).

    [3 marks] · no calculator

    Answer explanation

    Draft walkthroughs are based on marking guidance, not independently verified derivations.

    1. Reflection swaps the coordinates to (-1,3); the stretch doubles only the first coordinate.
    2. Multiplying DS by the original column confirms the same image.

    Marking points

    • The product is DS, not SD.
    • DS = [[0,2],[1,0]].
    • The image is (-2,3).

    Examiner tip: For column vectors the rightmost transformation acts first.

  2. 2.

    A triangle of area 7 is transformed by [[2,1],[1,-1]]. Find its image area and state whether orientation is reversed.

    [3 marks] · no calculator

    Answer explanation

    Draft walkthroughs are based on marking guidance, not independently verified derivations.

    1. Areas scale by the absolute determinant, so a negative signed scale cannot produce negative area.
    2. The sign records orientation separately from the area scale: |-3| times 7.

    Marking points

    • The determinant is -3.
    • Image area is 21 square units.
    • Orientation is reversed because the determinant is negative.

    Examiner tip: Use |det A| for area and det A's sign for orientation.

  3. 3.

    Find the eigenvalues and corresponding eigenvector directions of A = [[3,1],[1,3]].

    [3 marks] · no calculator

    Answer explanation

    Draft walkthroughs are based on marking guidance, not independently verified derivations.

    1. A vector along y = x has both components multiplied by four.
    2. Along y = -x the components are multiplied by two; direct multiplication verifies both directions.

    Marking points

    • Characteristic equation: (3 - lambda)^2 - 1 = 0.
    • Eigenvalues are 4 and 2.
    • Directions are (1,1) for 4 and (1,-1) for 2.

    Examiner tip: Associate each direction with its own eigenvalue; do not list unordered vectors.

  4. 4.

    For A = [[k,2],[3,6]], find k for singularity. At that k, describe the image of the whole plane and the vectors sent to zero.

    [3 marks] · no calculator

    Answer explanation

    Draft walkthroughs are based on marking guidance, not independently verified derivations.

    1. At k = 1 the second row is three times the first, so two-dimensional inputs collapse onto one line.
    2. To find the kernel set the first output to zero; the second then vanishes automatically.

    Marking points

    • 6k - 6 = 0 gives k = 1.
    • Outputs are (x + 2y, 3x + 6y), so the image is the line Y = 3X.
    • The kernel is x + 2y = 0, or multiples of (-2,1).

    Examiner tip: The image line and the kernel line are different objects.

  5. 5.

    For A = [[3,1],[1,3]], derive A^n for positive integers n using its eigenvectors.

    [3 marks] · no calculator

    Answer explanation

    Draft walkthroughs are based on marking guidance, not independently verified derivations.

    1. The two eigenvector columns form a basis. Repeated action multiplies their coefficients by 4^n and 2^n respectively.
    2. Adjacent P^-1 P factors cancel in a repeated product; multiply the remaining three matrices to obtain the expression.

    Marking points

    • Use P = [[1,1],[1,-1]] and P^-1 = P/2.
    • A = P diag(4,2) P^-1, hence A^n = P diag(4^n,2^n) P^-1.
    • A^n = (1/2)[[4^n + 2^n,4^n - 2^n],[4^n - 2^n,4^n + 2^n]].

    Examiner tip: A matrix power is not an entrywise power; diagonalise before raising entries.

  6. 6.

    Let B = [[2,1],[0,2]]. Show that B is not diagonalisable and derive B^n for n >= 1.

    [3 marks] · no calculator

    Answer explanation

    Draft walkthroughs are based on marking guidance, not independently verified derivations.

    1. A repeated eigenvalue alone does not prevent diagonalisation; here the failure is the absence of a second independent eigenvector.
    2. All terms containing N^2 or a higher power vanish, leaving 2^n I + n*2^(n-1)N.

    Marking points

    • The only eigenvalue is 2 and its eigenspace is y = 0, of dimension one.
    • Write B = 2I + N with N^2 = 0.
    • The commuting binomial expansion gives B^n = [[2^n,n*2^(n-1)],[0,2^n]].

    Examiner tip: Justify the binomial method by noting that I and N commute.