Linear Algebra : Matrices

Study concepts, example questions & explanations for Linear Algebra

varsity tutors app store varsity tutors android store

Example Questions

Example Question #101 : Matrix Matrix Product

Calculate .

Possible Answers:

is not defined.

Correct answer:

Explanation:

, the transpose of , can be found by transposing rows with columns.

, so

Matrices are multiplied by multiplying each row of the first matrix by each column of the second - that is, by adding the products of the entries in corresponding positions. Thus,

This is a square matrix, so it can be raised to a power. To raise a diagonal matrix to a power, simply raise each number in the main diagonal to that power:

.

Example Question #102 : Matrix Matrix Product

and , where all four variables stand for real quantities.

Which must be true of and regardless of the values of the variables?

Possible Answers:

None of the statements given in the other choices are correct.

Correct answer:

None of the statements given in the other choices are correct.

Explanation:

Matrices are multiplied by multiplying each row of the first matrix by each column of the second - that is, by adding the products of the entries in corresponding positions. Thus,

 

 

 

is false in general.

 

, the transpose of , is the result of transposing rows and columns:

. so

is false in general.

 

, so

is false in general.

 

, so

is false in general.

 

Thus, none of the four given statements need be true.

Example Question #103 : Matrix Matrix Product

Let

Find .

Possible Answers:

 is undefined.

Correct answer:

Explanation:

is equal to the two-entry column matrix , so , the transpose, is the row matrix

The product of two matrices is calculated by multiplying rows by columns - adding the corresponding entries in the rows of the first matrix by the columns of the second - so

Example Question #101 : Matrices

Multiply:

Possible Answers:

Correct answer:

Explanation:

To multiply, add:

Example Question #2 : Matrix Vector Product

Compute AB.

Possible Answers:

None of the other answers.

Correct answer:

Explanation:

Because the number of columns in matrix A and the number of rows in matrix B are equal, we know that product AB does in fact exist. Matrix AB should have the same number of rows as A and the same number of columns as B. In this case, AB is a 2x3 matrix: 

 

Example Question #1 : Matrix Vector Product

Compute AB

Possible Answers:

None of the other answers

Correct answer:

Explanation:

Because the number of columns in matrix A and the number of rows in matrix B are equal, we know that product AB does in fact exist. Matrix AB should have the same number of rows as A and the same number of columns as B. In this case, AB is a 1x4 matrix: 

 

Example Question #3 : Matrix Vector Product

Calculate , given 

 ,

Possible Answers:

Correct answer:

Explanation:

By definition,

.

Example Question #1 : Matrix Vector Product

Calculate , given 

Possible Answers:

Correct answer:

Explanation:

By definition, 

.  A matrix with only one entry is simply a scalar.

Example Question #5 : Matrix Vector Product

Calculate , given 

.

Possible Answers:

Can not be determined,  is not a vector.

Correct answer:

Explanation:

By definition, 

.

Example Question #1 : Matrix Vector Product

Possible Answers:

Correct answer:

Explanation:

Learning Tools by Varsity Tutors