Lesson C11

C11 Diagonalisation of matrices Quiz: AQA Further Maths, Unit 2

20 questions

In partnership with Revision Ninja

Lesson C11, Diagonalisation of matrices: 20 multiple choice questions for the AQA Further Maths (7367), Unit 2: Compulsory content, written with Revision Ninja.

Host it live on the board and students join with a game code on their own devices, or revise alone with Free Play. The answers are revealed in the game.

Host this setFree Play

The 20 questions

  1. What is required to diagonalise an n × n matrix as UDU⁻¹?

    • n zero eigenvalues
    • Symmetric matrix only
    • Zero determinant
    • n independent eigenvectors
  2. In the matrix diagonalisation M = UDU⁻¹, what are the diagonal entries of D?

    • Determinants
    • Inverses
    • Eigenvectors
    • Eigenvalues
  3. What do the columns of U contain in M = UDU^-1?

    • Powers of M
    • Eigenvalues of M
    • Eigenvectors of M
    • Rows of M
  4. For M = [[4, 1], [2, 3]] with eigenvalues 2 and 5, what are the eigenvalues of M^2?

    • 4 and 25
    • 8 and 125
    • 2 and 5
    • 6 and 10
  5. For M = [[3, 1], [0, 2]], what is M^2?

    • [[9, 4], [0, 4]]
    • [[9, 1], [0, 4]]
    • [[9, 5], [0, 4]]
    • [[6, 2], [0, 4]]
  6. For M = [[4, 1], [2, 3]], which eigenvalue belongs to eigenvector (1, 1)?

    • 7
    • 5
    • 2
    • 3
  7. If D = diag(2, 5), what is D^3?

    • diag(2^3, 5)
    • diag(6, 15)
    • diag(8, 15)
    • diag(8, 125)
  8. As n tends to infinity, what matrix does Mⁿ approach if all eigenvalues satisfy |λ| < 1?

    • Infinite matrix
    • Inverse matrix
    • Identity matrix
    • Zero matrix
  9. Why is the matrix [[1, 1], [0, 1]] not diagonalisable?

    • Insufficient eigenvectors
    • Complex eigenvalues
    • Zero determinant
    • Singular matrix
  10. In matrix diagonalisation, why does (UDU⁻¹)(UDU⁻¹) simplify to UD²U⁻¹?

    • U⁻¹U = I
    • DD⁻¹ = I
    • UD = DU
    • UU⁻¹ = D
  11. What are the eigenvalues of [[5, 2], [2, 2]]?

    • -1 and -6
    • 3 and 4
    • 1 and 6
    • 2 and 5
  12. What is the trace of M^2 for M = [[5, 2], [2, 2]]?

    • 7
    • 37
    • 12
    • 41
  13. If a 3 x 3 matrix M has eigenvalues 1, 1 and 2 and is diagonalisable, what is det M?

    • 1
    • 4
    • 2
    • -2
  14. If det U = 3 and det D = 8 for M = UDU^-1, what is det M?

    • 8/3
    • 8
    • 24
    • 3
  15. What is the eigenvalue of M^3 corresponding to eigenvalue 2 of M?

    • 2^(1/3)
    • 5
    • 6
    • 8
  16. If M has eigenvalues 2 and -3, what is det M?

    • -1
    • 6
    • -6
    • 5
  17. If M has eigenvalues 2 and -3, what is the trace of M?

    • -5
    • -1
    • 1
    • 5
  18. What is the eigenvalue of M^4 corresponding to eigenvalue -2 of M?

    • -16
    • 16
    • 8
    • -8
  19. Which matrix has eigenvalue 1 with eigenvector (1, 0) and eigenvalue 3 with eigenvector (1, 2)?

    • [[1, 1], [0, 3]]
    • [[3, 1], [0, 1]]
    • [[1, 2], [0, 3]]
    • [[1, 0], [0, 3]]
  20. What is the determinant of D = diag(2, 5)?

    • 10
    • 3
    • -10
    • 7

All AQA Further Maths quizzes