Practice Basis of an Eigenspace - 32.2 | 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 an eigenvalue?

💡 Hint: Recall how it relates to linear transformations.

Question 2

Easy

Define an eigenspace.

💡 Hint: Think about the vectors satisfying the eigenvalue equation.

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 is the eigenspace corresponding to an eigenvalue?

  • A set of eigenvalues only
  • A set of eigenvectors and the zero vector
  • A matrix that represents linear transformation

💡 Hint: Think about which elements make up the eigenspace.

Question 2

True or False: The basis of an eigenspace is unique.

  • True
  • False

💡 Hint: Consider how many different ways you could represent the same space.

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Challenge Problems

Push your limits with challenges.

Question 1

Given a 2x2 matrix \( A = \begin{bmatrix} 3 & 1 \ 0 & 2 \end{bmatrix} \) find the eigenvalues, determine the eigenspaces, and describe the basis of each eigenspace.

💡 Hint: Do you remember how to find eigenvectors once the eigenvalues are known?

Question 2

Consider a symmetric matrix for which you have found eigenvalues of 1, 2, and 3 with linearly independent eigenvectors. Explain how these can be used for diagonalization.

💡 Hint: Recall the diagonalization process and why linearly independent eigenvectors matter.

Challenge and get performance evaluation