All Calculus 3 Resources
Example Questions
Example Question #23 : Differentials
Find the total differential of the following function:
The total differential of a function is given by
To find the given partial derivative of the function, we must treat the other variable(s) as constants.
The partial derivatives are
, ,
Example Question #24 : Differentials
Find the total differential of the function:
The total differential of a function is given by
To find the given partial derivative of the function, we must treat the other variable(s) as constants.
The partial derivatives are
, ,
Example Question #26 : Differentials
If , calculate the total differential .
The total differential of a function is defined as the sum of the partial derivatives of with respect to each of its variables; that is,
In this case, , and so we use the sum rule, the rule for derivatives of a variable raised to a power, the rule for the derivative of , and the chain rule to calculate the partial derivatives and , as shown:
,
.
In both cases, we treated the variable not being differentiated as a constant, and applied the chain rule to to calculate its partial derivatives. Now that and have been calculated, all that remains is to substitute them into the definition of the total derivative:
Example Question #27 : Differentials
If , calculate the total differential .
The total differential of a function is defined as the sum of the partial derivatives of with respect to each of its variables; that is,
In this case, , and so we use the product rule and the rule for differentiating to calculate the partial derivatives and , as shown:
,
In both cases, we treated the variable not being differentiated as a constant, and applied the product rule to calculate its partial derivatives. Now that and have been calculated, all that remains is to substitute them into the definition of the total derivative:
Example Question #1447 : Partial Derivatives
Compute the differentials for the following function.
What we need to do is take derivatives, and remember the general equation.
When taking the derivative with respect to y recall that the product rule needs to be used.
Example Question #1441 : Partial Derivatives
Compute the differentials for the following function.
What we need to do is take derivatives, and remember the general equation.
When taking the derivative with respect to y recall that the product rule needs to be used.
Example Question #1 : Relative Minimums And Maximums
Find and classify all the critical points for .
Relative Minimum
Saddle Point
Saddle Point
Saddle Point
Relative Minimum
Saddle Point
Relative Maximum
Relative Minimum
Relative Minimum
Relative Minimum
Saddle Point
Saddle Point
Relative Maximum
Relative Minimum
Saddle Point
Saddle Point
Saddle Point
Saddle Point
Saddle Point
Saddle Point
Relative Minimum
Saddle Point
Saddle Point
Saddle Point
First thing we need to do is take partial derivatives.
Now we want to find critical points, we do this by setting the partial derivative in respect to x equal to zero.
Now we want to plug in these values into the partial derivative in respect to y and set it equal to zero.
Lets summarize the critical points:
If
If
Now we need to classify these points, we do this by creating a general formula .
, where , is a critical point.
If and , then there is a relative minimum at
If and , then there is a relative maximum at
If , there is a saddle point at
If then the point may be a relative minimum, relative maximum or a saddle point.
Now we plug in the critical values into .
Since and , is a relative minimum.
Since , is a saddle point.
Since , is a saddle point
Since , is a saddle point
Example Question #2 : Relative Minimums And Maximums
Find the relative maxima and minima of .
is a relative maximum.
is a relative maximum.
is a relative minimum.
is a relative minimum.
is a relative minimum.
To find the relative maxima and minima, we must find all the first order and second order partial derivatives. We will use the first order partial derivative to find the critical points, then use the equation
to classify the critical points.
If and , then there is a relative minimum at this point.
If and , then there is a relative maximum at this point.
If , then this point is a saddle point.
If , then this point cannot be classified.
The first order partial derivatives are
The second order partial derivatives are
To find the critical points, we will set the first derivatives equal to
There is only one critical point and it is at . We need to determine if this critical point is a maximum or minimum using and .
Since and , is a relative minimum.
Example Question #3 : Relative Minimums And Maximums
Find the relative maxima and minima of .
is a relative maximum, is a relative minimum
is a saddle point, is a relative minimum
and are relative minima
and are relative maxima
is a saddle point, is a relative minimum
To find the relative maxima and minima, we must find all the first order and second order partial derivatives. We will use the first order partial derivative to find the critical points, then use the equation
to classify the critical points.
If and , then there is a relative minimum at this point.
If and , then there is a relative maximum at this point.
If , then this point is a saddle point.
If , then this point cannot be classified.
The first order partial derivatives are
The second order partial derivatives are
To find the critical points, we will set the first derivatives equal to
There are two possible values of , and .
We find the corresponding values of using (found by rearranging the first derivative)
There are critical points at and. We need to determine if the critical points are maximums or minimums using and .
At ,
Since , is a saddle point.
At ,
Since and , is a relative minimum.
Example Question #4 : Relative Minimums And Maximums
Find the relative maxima and minima of .
, and are relative maxima.
, and are saddle points.
, and are relative minima.
and are relative minima, is a relative maximum.
, and are saddle points.
To find the relative maxima and minima, we must find all the first order and second order partial derivatives. We will use the first order partial derivative to find the critical points, then use the equation
to classify the critical points.
If and , then there is a relative minimum at this point.
If and , then there is a relative maximum at this point.
If , then this point is a saddle point.
If , then this point cannot be classified.
The first order partial derivatives are
The second order partial derivatives are
To find the critical points, we will set the first derivatives equal to
Squaring both sides of the equation gives us
Multiplying both sides of the equation by gives us
There are three possible values of ; , and .
We find the corresponding values of using (found by rearranging the first derivative)
There are critical points at , and. We need to determine if the critical points are maximums or minimums using and .
At ,
Since , is a saddle point.
At ,
Since , is a saddle point.
At ,
Since , is a saddle point.