Practice Repeated Eigenvalues and Geometric Multiplicity - 33.10 | 33. Diagonalization | Mathematics (Civil Engineering -1)
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Repeated Eigenvalues and Geometric Multiplicity

33.10 - Repeated Eigenvalues and Geometric Multiplicity

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is algebraic multiplicity?

💡 Hint: Think about how many times you can factor the polynomial.

Question 2 Easy

If a matrix has a repeated eigenvalue, how can you check if it is diagonalizable?

💡 Hint: Check the linear independence of the eigenvectors.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What defines the algebraic multiplicity of an eigenvalue?

The number of linearly independent eigenvectors
The number of times an eigenvalue appears in the characteristic polynomial
The dimension of the eigenspace

💡 Hint: Think about the factors of the polynomial.

Question 2

True or False: A matrix with repeated eigenvalues is always diagonalizable.

True
False

💡 Hint: Consider an example to check this.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Create a 3x3 matrix with one eigenvalue of multiplicity 3. Show its algebraic and geometric multiplicity and check if it's diagonalizable.

💡 Hint: Start with the characteristic polynomial to find AM.

Challenge 2 Hard

Construct a matrix that is diagonalizable with two distinct eigenvalues, and verify its multiplicities.

💡 Hint: Choose a simple diagonal matrix to illustrate diagonalizability.

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