Calculus 3 : Calculus 3

Study concepts, example questions & explanations for Calculus 3

varsity tutors app store varsity tutors android store

Example Questions

Example Question #32 : Gradient Vector, Tangent Planes, And Normal Lines

Find  of the function .

Possible Answers:

Correct answer:

Explanation:

The gradient of a function  is as follows: 

.

We compute the derivative of the function with respect to each of the variables and treat the others like constants.

Using the rule , we obtain 

,

and 

.

Putting these expressions into the vector completes the problem, and you obtain 

.

Example Question #33 : Gradient Vector, Tangent Planes, And Normal Lines

Find the tangent plane to the surface given by

at the point 

Possible Answers:

Correct answer:

Explanation:

The equation of the tangent plane is given by

So, we must find the partial derivatives for the function evaluated at the point given. To find the given partial derivative of the function, we must treat the other variable(s) as constants.

The partial derivatives are

The derivatives were found using the following rules:

Now, we evaluate them at the given point:

Finally, plug in all of our information into the formula and simplify:

 

Example Question #34 : Gradient Vector, Tangent Planes, And Normal Lines

Find the tangent plane to the surface given by

at the point 

Possible Answers:

Correct answer:

Explanation:

The equation of the tangent plane is given by

So, we must find the partial derivatives for the function evaluated at the point given. To find the given partial derivative of the function, we must treat the other variable(s) as constants.

The partial derivatives are

The rules used to find the derivatives are

Evaluated at the given point, the partial derivatives are

Plugging all of this into the above formula, and simplifying, we get

 

Example Question #1591 : Calculus 3

Find the tangent plane to the surface given by

at the point 

 

Possible Answers:

Correct answer:

Explanation:

The equation of the tangent plane is given by

So, we must find the partial derivatives for the function evaluated at the point given. To find the given partial derivative of the function, we must treat the other variable(s) as constants.

The partial derivatives are

The derivatives were found using the following rules:

Next, we evaluate the partial derivatives at the given point:

Plugging in all our information into the formula above, we get

Example Question #61 : Applications Of Partial Derivatives

Find  of the function 

Possible Answers:

Correct answer:

Explanation:

To find the gradient vector, you use the following definition: . Taking the partial derivatives with respect to x, y, and z, we get , and . Putting these into the vector produces the right answer. 

Example Question #62 : Applications Of Partial Derivatives

Find  of the function 

Possible Answers:

Correct answer:

Explanation:

To find the gradient vector for a function , we use the definition

.

 

Putting these answers into the vector gets us the correct answer

Example Question #63 : Applications Of Partial Derivatives

Find  of the function 

Possible Answers:

Correct answer:

Explanation:

To find the gradient vector for a function , we use the definition

.

 

Putting these answers into the vector gets us the correct answer

Example Question #64 : Applications Of Partial Derivatives

Find  of the function 

Possible Answers:

Correct answer:

Explanation:

To find the gradient vector for a function , we use the definition

.

 

Putting these answers into the vector gets us the correct answer

Example Question #1591 : Calculus 3

Compute the gradient of the following scalar function:

Possible Answers:

Correct answer:

Explanation:

The gradient of a function is defined as:

For our function:

Thus, the gradient is:

Example Question #41 : Gradient Vector, Tangent Planes, And Normal Lines

Compute the gradient of the following scalar function:

Possible Answers:

Correct answer:

Explanation:

The gradient of a function is defined as:

For our function:

Thus, the gradient is:

Learning Tools by Varsity Tutors