Linear Algebra : Linear Algebra

Study concepts, example questions & explanations for Linear Algebra

varsity tutors app store varsity tutors android store

Example Questions

Example Question #122 : Matrices

Let  be a matrix and  be a vector defined by

Find the product .

Possible Answers:

The product does not exist because the dimensions do not match.

Correct answer:

The product does not exist because the dimensions do not match.

Explanation:

The matrix  has 3 columns and the vector  has 5 rows. The dimensions do not match and the product does not exist.

Example Question #123 : Matrices

Rewrite the system of equations:

into a matrix vector product:

where  is a 3x3 matrix and  are vectors in .

Possible Answers:

Correct answer:

Explanation:

To write 

into matrix vector form, we recall that matrix multiplication with a vector is done such that the first element in the resulting vector is the dot product of the first row of  with the vector , the second element is the dot product of the second row with , and so on. The first row is thus , the second row is , and the third row is . So the left side of the equality is 

 

The right side is the vector , so the final answer is

which is equivalent to 

Example Question #811 : Linear Algebra

Let and .

Find .

Possible Answers:

is not defined.

Correct answer:

Explanation:

First, it must be established that is defined. This is the case if and only if has as many columns as has rows. Since has two columns and has two rows, is defined.

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,

Example Question #21 : Matrix Vector Product

Multiply

Possible Answers:

Correct answer:

Explanation:

To multiply, add:

Example Question #1 : Vector Vector Product

Compute , where 

Possible Answers:

Not possible

Correct answer:

Explanation:

Before we compute the product of , and , we need to check if it is possible to take the product. We will check the dimensions.  is , and  is , so the dimensions of the resulting matrix will be . Now let's compute it.

 

Example Question #121 : Matrices

Find the vector-vector product of the following vectors.

Possible Answers:

It's not possible to multiply these vectors

Correct answer:

Explanation:

Example Question #1 : Vector Vector Product

Calculate , given 

Possible Answers:

Correct answer:

Explanation:

By definition, 

.

Example Question #3 : Vector Vector Product

What is the physical significance of the resultant vector , if ?

Possible Answers:

 is orthogonal to both  and .

 is a scalar.

 lies in the same plane that contains both  and .

 is the projection of  onto .

Correct answer:

 is orthogonal to both  and .

Explanation:

By definition, the resultant cross product vector (in this case, ) is orthogonal to the original vectors that were crossed (in this case,  and ).  In , this means that  is a vector that is normal to the plane containing  and .

Example Question #4 : Vector Vector Product

Possible Answers:

Correct answer:

Explanation:

Example Question #4 : Vector Vector Product

Possible Answers:

Correct answer:

Explanation:

Learning Tools by Varsity Tutors