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What is the characteristic polynomial of the matrix E = [[2, 1], [1, 2]]? (2021)

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Question: What is the characteristic polynomial of the matrix E = [[2, 1], [1, 2]]? (2021)

Options:

  1. λ^2 - 3λ + 1
  2. λ^2 - 5λ + 4
  3. λ^2 - 4λ + 3
  4. λ^2 - 2λ + 1

Correct Answer: λ^2 - 3λ + 1

Exam Year: 2021

Solution:

The characteristic polynomial is det(E - λI) = det([[2-λ, 1], [1, 2-λ]]) = (2-λ)(2-λ) - 1 = λ^2 - 3λ + 1.

What is the characteristic polynomial of the matrix E = [[2, 1], [1, 2]]? (2021)

Practice Questions

Q1
What is the characteristic polynomial of the matrix E = [[2, 1], [1, 2]]? (2021)
  1. λ^2 - 3λ + 1
  2. λ^2 - 5λ + 4
  3. λ^2 - 4λ + 3
  4. λ^2 - 2λ + 1

Questions & Step-by-Step Solutions

What is the characteristic polynomial of the matrix E = [[2, 1], [1, 2]]? (2021)
  • Step 1: Identify the matrix E, which is [[2, 1], [1, 2]].
  • Step 2: Define λ (lambda) as a variable that will be used in the characteristic polynomial.
  • Step 3: Create the identity matrix I of the same size as E, which is [[1, 0], [0, 1]].
  • Step 4: Calculate λI, which is [[λ, 0], [0, λ]].
  • Step 5: Subtract λI from E to get E - λI, resulting in the matrix [[2-λ, 1], [1, 2-λ]].
  • Step 6: Find the determinant of the matrix E - λI, which is det([[2-λ, 1], [1, 2-λ]]).
  • Step 7: Use the formula for the determinant of a 2x2 matrix: det([[a, b], [c, d]]) = ad - bc.
  • Step 8: Apply the formula: (2-λ)(2-λ) - (1)(1) = (2-λ)(2-λ) - 1.
  • Step 9: Expand (2-λ)(2-λ) to get (2-λ)^2 = 4 - 4λ + λ^2.
  • Step 10: Combine the results: λ^2 - 4λ + 4 - 1 = λ^2 - 4λ + 3.
  • Step 11: The characteristic polynomial is λ^2 - 4λ + 3.
  • Characteristic Polynomial – The characteristic polynomial of a matrix is derived from the determinant of the matrix subtracted by a scalar multiple of the identity matrix.
  • Determinants – Understanding how to compute the determinant of a 2x2 matrix is essential for finding the characteristic polynomial.
  • Eigenvalues – The roots of the characteristic polynomial correspond to the eigenvalues of the matrix.
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