Practice Conditions for Diagonalizability - 21.11.2 | 21. Linear Algebra | Mathematics (Civil Engineering -1)
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21.11.2 - Conditions for Diagonalizability

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define a diagonalizable matrix.

💡 Hint: Remember the form of the diagonal matrix.

Question 2

Easy

What must a matrix have to be diagonalizable?

💡 Hint: Think about the concepts of eigenvalues and eigenvectors.

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 a necessary condition for a matrix to be diagonalizable?

  • It has at least one zero eigenvalue
  • It must have n linearly independent eigenvectors
  • It must be an identity matrix

💡 Hint: Think about the definitions of eigenvectors.

Question 2

True or False: All matrices with distinct eigenvalues are diagonalizable.

  • True
  • False

💡 Hint: Recall how eigenvalues relate to diagonalizability.

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Challenge Problems

Push your limits with challenges.

Question 1

Prove that the matrix A = [[1, 2], [0, 3]] is diagonalizable or not. Use computational methods to find eigenvalues and relations.

💡 Hint: Calculate eigenvalues using the characteristic polynomial.

Question 2

Create a diagonalizable matrix of size 3x3 and show that it satisfies necessary diagonalizability conditions.

💡 Hint: Choose distinct eigenvalues and construct accordingly.

Challenge and get performance evaluation