Quiz-4 Linear Algebra

Quiz-4 Linear Algebra

Professional Development

20 Qs

quiz-placeholder

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Quiz-4 Linear Algebra

Quiz-4 Linear Algebra

Assessment

Quiz

Education

Professional Development

Medium

Created by

Priyanka B

Used 1+ times

FREE Resource

20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

Which of the following is the correct definition of a vector in linear algebra?

A scalar quantity

A quantity with magnitude and direction

A quantity with magnitude only

A matrix with a single row or column

2.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

What is the determinant of a 2x2 matrix with elements a, b, c, and d?

ad - bc

ac - bd

ad + bc

bc - ad

3.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

Given two matrices A and B, under what condition can you perform matrix multiplication A * B?

The number of columns in A is equal to the number of rows in B

The number of rows in A is equal to the number of columns in B

The number of rows in A is equal to the number of rows in B

The number of columns in A is equal to the number of columns in B

4.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

Which of the following operations is NOT a valid elementary row operation in matrix manipulation?

Interchanging two rows

Multiplying a row by a non-zero constant

Adding a multiple of one row to another row

Dividing a row by a non-zero constant

5.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

If a square matrix A is multiplied by its inverse, the result is:

The identity matrix

The zero matrix

A matrix with all elements equal to one

A matrix with all elements equal to zero

6.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

The eigenvalues of a matrix are the solutions to:

Ax = 0

Ax = b

|A| = 0

|A| = λI

7.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

Which of the following statements about eigenvectors is true?

Eigenvectors always have distinct eigenvalues

Eigenvectors are always perpendicular to each other

A matrix can have multiple linearly independent eigenvectors corresponding to the same eigenvalue

Eigenvectors are always the columns of the identity matrix

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