Practice Diagonalization of Matrices - 21.11 | 21. Linear Algebra | Mathematics (Civil Engineering -1)
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21.11 - Diagonalization of Matrices

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define a diagonal matrix.

💡 Hint: Think about the placement of zeroes in a matrix.

Question 2

Easy

What is an eigenvector?

💡 Hint: Consider how vectors interact with linear transformations.

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 diagonal matrix?

  • A matrix with all zero elements
  • A matrix with non-zero values only on the diagonal
  • A square matrix with eigenvectors

💡 Hint: Remember where zeroes are placed in such matrices.

Question 2

True or False: If a matrix has repeated eigenvalues, it is always diagonalizable.

  • True
  • False

💡 Hint: Think about the conditions required for diagonalization.

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Challenge Problems

Push your limits with challenges.

Question 1

Given the matrix A = [[4, 1], [2, 3]], find the eigenvalues and determine whether A is diagonalizable. Justify your reasoning.

💡 Hint: Use the characteristic polynomial to derive the eigenvalues.

Question 2

For the matrix B = [[2, -1], [0, 2]], analyze the multiplicities of eigenvalues and determine its diagonalizability.

💡 Hint: Check the number of linearly independent eigenvectors compared to the eigenvalue's multiplicity.

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