Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
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
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the eigenspace corresponding to an eigenvalue?
💡 Hint: Think about which elements make up the eigenspace.
Question 2
True or False: The basis of an eigenspace is unique.
💡 Hint: Consider how many different ways you could represent the same space.
Solve 1 more question and get performance evaluation
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