Calculus 1 : How to find differential functions

Study concepts, example questions & explanations for Calculus 1

varsity tutors app store varsity tutors android store

Example Questions

Example Question #1491 : Calculus

Find the slope of the tangent line at .

Possible Answers:

Correct answer:

Explanation:

Begin by finding the derivative using the product rule.

The product rule is,

.

Applying this rule to our function where

we get,

Now, substitute 11 for x.

Example Question #281 : How To Find Differential Functions

Find the slope of the tangent line at .

Possible Answers:

Correct answer:

Explanation:

Begin by finding the derivative using the product rule.

The product rule is,

.

Applying this rule to our function where

we get,

Now, substitute 1 for x.

Example Question #1493 : Calculus

What is the slope of the tanget line at ?

Possible Answers:

Correct answer:

Explanation:

First, find the derivative using the power rule which states, .

Applying the power rule to each term in the function we get,

Now, plug in 2.5 for x.

Example Question #282 : How To Find Differential Functions

Find the slope of the tangent line at .

Possible Answers:

Correct answer:

Explanation:

First, find the derivative using the quotient rule which states,

.

In this particular case,

Therefore the derivative becomes,

Now, substitute 1.5 for x.

Example Question #1501 : Calculus

Find the derivative.

Possible Answers:

Correct answer:

Explanation:

Use the quotient rule to find the derivative which states,

.

In this particular case,

.

Therefore the derivative becomes,

 

Example Question #1502 : Calculus

Find the derivative.

Possible Answers:

Correct answer:

Explanation:

Use the quotient rule to find the derivative which states,

.

In this particular case,

.

Therefore, the derivative becomes,

Example Question #287 : Other Differential Functions

What is the slope of the function  at ?

Possible Answers:

Correct answer:

Explanation:

To consider finding the slope, let's discuss the topic of the gradient.

For a function , the gradient is the sum of the derivatives with respect to each variable, multiplied by a directional vector:

It is essentially the slope of a multi-dimensional function at any given point

Knowledge of the following derivative rule will be necessary:

Derivative of an exponential: 

Note that  may represent large functions, and not just individual variables!

The approach to take with this problem is to simply take the derivatives one at a time. When deriving for one particular variable, treat the other variables as constant.

Take the partial derivatives of  at 

:

:

The slope is

Example Question #288 : Other Differential Functions

Find the slope of the function  at the point 

Possible Answers:

Correct answer:

Explanation:

To consider finding the slope, let's discuss the topic of the gradient.

For a function , the gradient is the sum of the derivatives with respect to each variable, multiplied by a directional vector:

It is essentially the slope of a multi-dimensional function at any given point

Knowledge of the following derivative rules will be necessary:

Derivative of an exponential: 

Product rule: 

Note that  and  may represent large functions, and not just individual variables!

The approach to take with this problem is to simply take the derivatives one at a time. When deriving for one particular variable, treat the other variables as constant.

Find the partial derivatives of  at the point 

:

:

The slope is

Example Question #289 : Other Differential Functions

Find the slope of the function  at .

Possible Answers:

Correct answer:

Explanation:

To consider finding the slope, let's discuss the topic of the gradient.

For a function , the gradient is the sum of the derivatives with respect to each variable, multiplied by a directional vector:

It is essentially the slope of a multi-dimensional function at any given point

Knowledge of the following derivative rules will be necessary:

Derivative of an exponential: 

Note that  may represent large functions, and not just individual variables!

The approach to take with this problem is to simply take the derivatives one at a time. When deriving for one particular variable, treat the other variables as constant.

Take the partial derivatives of   at 

:

:

The slope is

Example Question #290 : Other Differential Functions

Find the slope of the function  at the point 

Possible Answers:

Correct answer:

Explanation:

To consider finding the slope, let's discuss the topic of the gradient.

For a function , the gradient is the sum of the derivatives with respect to each variable, multiplied by a directional vector:

It is essentially the slope of a multi-dimensional function at any given point

Knowledge of the following derivative rule will be necessary:

Derivative of an exponential: 

Note that  may represent large functions, and not just individual variables!

The approach to take with this problem is to simply take the derivatives one at a time. When deriving for one particular variable, treat the other variables as constant.

Take the partial derivative of   at the point 

:

:

:

The slope is

Learning Tools by Varsity Tutors