Matrix Operations and Eigenvalues

Matrix Operations and Eigenvalues

Assessment

Interactive Video

Mathematics

9th - 12th Grade

Hard

Created by

Sophia Harris

FREE Resource

The video tutorial explains the concept of eigenvectors and eigenvalues, focusing on how to calculate the product of a matrix and its eigenvectors. It demonstrates the process of finding matrix A times vector U and vector V, given their respective eigenvalues. The tutorial also covers how to compute matrix A times the sum of these eigenvectors, emphasizing the linear transformation properties. The video concludes with a summary of the calculations and their significance.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an eigenvector?

A vector that is always positive

A vector that is always zero

A vector that changes direction under a linear transformation

A vector that remains unchanged in direction under a linear transformation

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the eigenvalue associated with vector u?

5

3

1

0

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you calculate matrix A times vector u?

By dividing the eigenvalue by vector u

By subtracting the eigenvalue from vector u

By multiplying the eigenvalue by vector u

By adding the eigenvalue to vector u

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the result of matrix A times vector u?

Vector 20, -5, -15, 25

Vector 8, -8, -24, 16

Vector -12, -3, -9, -9

Vector 0, 0, 0, 0

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the eigenvalue associated with vector v?

4

2

5

3

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you calculate matrix A times vector v?

By multiplying the eigenvalue by vector v

By dividing the eigenvalue by vector v

By adding the eigenvalue to vector v

By subtracting the eigenvalue from vector v

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the result of matrix A times vector v?

Vector 20, -5, -15, 25

Vector -12, -3, -9, -9

Vector 8, -8, -24, 16

Vector 0, 0, 0, 0

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