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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What happens to an eigenvector if it is multiplied by a scalar?
💡 Hint: Think about if it stretches or shrinks.
Question 2
Easy
If a matrix has 3 distinct eigenvalues, how many linearly independent eigenvectors will it have?
💡 Hint: Remember the definition of distinct eigenvalues.
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 does it mean if eigenvectors are linearly independent?
💡 Hint: Recall the definition of linear independence.
Question 2
True or False: All eigenvectors of symmetric matrices are complex.
💡 Hint: Think about the properties of symmetric matrices.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Given a 3x3 real symmetric matrix, prove that its eigenvectors corresponding to distinct eigenvalues are orthogonal.
💡 Hint: Apply the eigenvalue equation and manipulate using the symmetry property.
Question 2
Consider a 4x4 matrix that has 4 distinct eigenvalues. How would you go about finding its eigenvectors? Discuss the method and implications for usage in scenarios such as structural analysis.
💡 Hint: Remember to check for linear independence.
Challenge and get performance evaluation