Practice Diagonalization of Symmetric Matrices - 33.8 | 33. Diagonalization | Mathematics (Civil Engineering -1)
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define a symmetric matrix and provide an example.

💡 Hint: Think about the definition of the matrix being equal to its transpose.

Question 2

Easy

What is the significance of real eigenvalues in symmetric matrices?

💡 Hint: Consider how this affects calculations.

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Interactive Quizzes

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

Question 1

What characterizes a symmetric matrix?

  • A = A^T
  • A = -A
  • A is always diagonal

💡 Hint: Recall the definition of symmetric matrices.

Question 2

True or False: All eigenvectors of a symmetric matrix are not necessarily orthogonal.

  • True
  • False

💡 Hint: Consider eigenvector properties we just discussed.

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Challenge Problems

Push your limits with challenges.

Question 1

Consider the symmetric matrix A = [2 1; 1 2]. Diagonalize the matrix and explain the significance of each eigenvalue.

💡 Hint: Calculate eigenvalues and eigenvectors using the characteristic polynomial.

Question 2

Show that the matrix A = [1 2; 2 1] can be expressed as A = QDQ^T. Determine Q and D.

💡 Hint: Work through the steps of finding characteristic polynomial and eigenvalues first.

Challenge and get performance evaluation