Practice Summary Table of Concepts - 32.14 | 32. Basis of Eigenvectors | Mathematics (Civil Engineering -1)
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Practice Questions

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Question 1

Easy

What is an eigenvector?

💡 Hint: Remember that `λ` is the eigenvalue.

Question 2

Easy

Define eigenspace.

💡 Hint: Think about the vectors that satisfy `Av = λv`.

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Interactive Quizzes

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Question 1

What defines an eigenvector?

  • A vector that changes direction under transformation.
  • A linear combination of vectors.
  • A non-zero vector satisfying Av = λv.

💡 Hint: Focus on the eigenvalue equation.

Question 2

True or False: The eigenvalue's algebraic multiplicity can be greater than its geometric multiplicity.

  • True
  • False

💡 Hint: Remember the definitions of both types of multiplicity.

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Challenge Problems

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Question 1

Given a matrix A = [[2, 1], [1, 2]], find its eigenvalues and eigenvectors. Discuss if it is diagonalizable.

💡 Hint: Remember to use the determinant for the characteristic polynomial.

Question 2

Consider a symmetric matrix B with eigenvalues 4, 4, and 2. Determine the geometric and algebraic multiplicities, and explain the implications for diagonalization.

💡 Hint: Think about how the multiplicities relate to the eigenspace dimensions.

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