Lesson C10

C10 Eigenvalues and eigenvectors Quiz: AQA Further Maths, Unit 2

20 questions

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Lesson C10, Eigenvalues and eigenvectors: 20 multiple choice questions for the AQA Further Maths (7367), Unit 2: Compulsory content, written with Revision Ninja.

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The 20 questions

  1. What is the characteristic equation of a matrix M?

    • det(M - lambda I) = 0
    • det(M) = lambda
    • det(M + lambda I) = 1
    • M - lambda I = I
  2. What are the eigenvalues of [[2, 0], [0, 5]]?

    • 2 and 0
    • 0 and 7
    • 1 and 5
    • 2 and 5
  3. What effect does a matrix transformation have on its eigenvector?

    • Direction reversed
    • Direction unchanged
    • Rotated by 90°
    • Angle doubled
  4. What are the eigenvalues of [[4, 1], [2, 3]]?

    • 1 and 6
    • 3 and 4
    • -2 and -5
    • 2 and 5
  5. Which vector is an eigenvector of [[4, 1], [2, 3]] for eigenvalue 5?

    • (1, -1)
    • (2, 1)
    • (1, 2)
    • (1, 1)
  6. Which vector is an eigenvector of [[4, 1], [2, 3]] for eigenvalue 2?

    • (1, -2)
    • (2, -1)
    • (1, 2)
    • (2, 1)
  7. What are the eigenvalues of [[2, 1, 0], [0, 2, 1], [0, 0, 5]]?

    • 2, 2 and 5
    • 2 and 5 only
    • 1, 2 and 5
    • 2, 5 and 7
  8. What is the characteristic polynomial of [[1, 2], [3, 4]]?

    • lambda^2 - 5 lambda - 2
    • lambda^2 - 3 lambda - 2
    • lambda^2 - 5 lambda + 2
    • lambda^2 + 5 lambda - 2
  9. What is the product of the eigenvalues of [[4, 1], [2, 3]]?

    • 12
    • 7
    • 10
    • -10
  10. A matrix has eigenvalue 3 with eigenvector (1, 1). What is the eigenvalue of M^2 for that eigenvector?

    • 9
    • 6
    • 3
    • -1
  11. For which real values of k does [[k, 1], [1, k]] have eigenvalue 0?

    • k = 1 only
    • k = 2
    • k = ±1
    • k = 0
  12. What are the eigenvalues of the lower triangular matrix [[2, 0, 0], [1, 3, 0], [0, 1, 4]]?

    • 2, 4 and 6
    • 2, 3 and 4
    • 2, 3 and 7
    • 1, 3 and 4
  13. Which matrix has eigenvalues 1 and 2?

    • [[2, 0], [0, 2]]
    • [[1, 0], [0, 2]]
    • [[1, 2], [0, 1]]
    • [[1, 1], [1, 1]]
  14. Geometrically, what does an eigenvalue of -1 do to an eigenvector?

    • Rotates by 90°
    • Doubles length
    • Leaves unchanged
    • Reverses direction
  15. What are the eigenvalues of [[0, 1], [-2, -3]]?

    • -1 and 2
    • 1 and 2
    • -3 and 2
    • -1 and -2
  16. What are the eigenvalues of [[5, 2], [2, 2]]?

    • 1 and 6
    • 2 and 5
    • 3 and 4
    • -1 and -6
  17. What are the eigenvalues of [[3, 0], [0, -2]]?

    • 3 and 2
    • 3 and -2
    • 1 and -2
    • -3 and 2
  18. Which quadratic is the characteristic equation of [[2, 1], [0, 2]]?

    • lambda^2 - 2 lambda + 4 = 0
    • lambda^2 + 4 lambda + 4 = 0
    • lambda^2 - 4 lambda + 4 = 0
    • lambda^2 - 4 lambda - 4 = 0
  19. What are the eigenvalues of [[0, 1], [1, 0]]?

    • -1 and -2
    • 0 and 1
    • 1 and -1
    • 1 and 2
  20. What are the eigenvalues of [[5, -1], [2, 2]]?

    • 1 and 6
    • 3 and 4
    • -3 and -4
    • 2 and 5

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