Practice Example - 32.5 | 32. Basis of Eigenvectors | Mathematics (Civil Engineering -1)
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the characteristic equation of the matrix A = [[4, 1], [0, 4]]?

💡 Hint: Remember, I is the identity matrix.

Question 2

Easy

What is an eigenvalue?

💡 Hint: Think about how eigenvalues relate to transformations.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does the characteristic equation tell us?

  • Determines eigenvalues
  • Finds determinants
  • Calculates traces

💡 Hint: Focus on how the term 'characteristic' relates to eigenvalues.

Question 2

True or False: The eigenspace dimension is always equal to the algebraic multiplicity of the eigenvalue.

  • True
  • False

💡 Hint: Review the definitions of AM and GM.

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Challenge Problems

Push your limits with challenges.

Question 1

Given a new matrix B = [[4, 2], [0, 4]], calculate its eigenvalues and explain if it is diagonalizable.

💡 Hint: Check the relationship between AM and GM.

Question 2

Suppose a matrix has real eigenvalues and the calculation reveals three linearly independent eigenvectors. What can be said about its diagonalizability?

💡 Hint: Recall the definition of diagonalizability.

Challenge and get performance evaluation