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Example Questions
Example Question #313 : How To Find Differential Functions
Find the slope of the tangent line at .
Begin by finding the derivative using the power rule.
Now, substitute for
.
The answer is
Example Question #314 : How To Find Differential Functions
Find the derivative.
Use the product rule to find the derivative.
Recall that the derivative of is
, and the derivative of
is
.
Simplify.
Example Question #1532 : Calculus
Find the slope of the tangent line at .
First, find the derivative by using the power rule.
Thus, the derivative is .
Now, substitute for
.
Example Question #313 : Other Differential Functions
Find the derivative.
Use the power rule to find the derivative.
Thus, the derivative equals .
Example Question #316 : How To Find Differential Functions
Find the derivative at .
First, find the derivative using the power rule.
The derivative is , regardless of the
value.
Example Question #502 : Functions
Find the derivative at .
Use the quotient rule to find the derivative.
Now, substitute 4 for x.
Example Question #314 : Other Differential Functions
Find the derivative.
Use the power rule to find the derivative.
The derivative is .
Example Question #321 : Other Differential Functions
Find the derivative at .
Begin by finding the derivative using the power rule.
The derivative is
Now, substitute for
.
Example Question #321 : How To Find Differential Functions
Find the slope of the function at the point
.
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
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 point
x:
y:
The slope is
Example Question #321 : How To Find Differential Functions
Find the slope of the function at the point
.
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 u 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 point
x:
y:
z:
The slope is
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