All Calculus 3 Resources
Example Questions
Example Question #3 : Tangent Planes And Linear Approximations
Find the equation of the plane tangent to at the point .
To find the equation of the tangent plane, we find: and evaluate at the point given. , , and . Evaluating at the point gets us . We then plug these values into the formula for the tangent plane: . We then get . The equation of the plane then becomes, through algebra,
Example Question #5 : Tangent Planes And Linear Approximations
Find the equation of the plane tangent to at the point
To find the equation of the tangent plane, we find: and evaluate at the point given. , , and . Evaluating at the point gets us . We then plug these values into the formula for the tangent plane: . We then get . The equation of the plane then becomes, through algebra,
Example Question #6 : Tangent Planes And Linear Approximations
Find the equation of the tangent plane to at the point
To find the equation of the tangent plane, we need 5 things:
Using the equation of the tangent plane
, we get
Through algebraic manipulation to get z by itself, we get
Example Question #1 : Applications Of Partial Derivatives
Find the absolute minimums and maximums of on the disk of radius , .
Absolute Minimum:
Absolute Maximum: ,
Absolute Minimum:
Absolute Maximum:
Absolute Minimum:
Absolute Maximum:
Absolute Minimum:
Absolute Maximum: ,
Absolute Minimum:
Absolute Maximum:
Absolute Minimum:
Absolute Maximum: ,
The first thing we need to do is find the partial derivative in respect to , and .
,
We need to find the critical points, so we set each of the partials equal to .
We only have one critical point at , now we need to find the function value in order to see if it is inside or outside the disk.
This is within our disk.
We now need to take a look at the boundary, . We can solve for , and plug it into .
We will need to find the absolute extrema of this function on the range . We need to find the critical points of this function.
The function value at the critical points and end points are:
Now we need to figure out the values of these correspond to.
Now lets summarize our results as follows:
From this we can conclude that there is an absolute minimum at , and two absolute maximums at and .
Example Question #1 : Applications Of Partial Derivatives
Find the minimum and maximum of , subject to the constraint .
is a maximum
is a minimum
is a maximum
is a minimum
is a maximum
is a minimum
There are no maximums or minimums
is a maximum
is a minimum
is a maximum
is a minimum
First we need to set up our system of equations.
Now lets plug in these constraints.
Now we solve for
If
,
If
,
Now lets plug in these values of , and into the original equation.
We can conclude from this that is a maximum, and is a minimum.
Example Question #1 : Lagrange Multipliers
Find the absolute minimum value of the function subject to the constraint .
Let To find the absolute minimum value, we must solve the system of equations given by
.
So this system of equations is
, , .
Taking partial derivatives and substituting as indicated, this becomes
.
From the left equation, we see either or . If , then substituting this into the other equations, we can solve for , and get , , giving two extreme candidate points at .
On the other hand, if instead , this forces from the 2nd equation, and from the 3rd equation. This gives us two more extreme candidate points; .
Taking all four of our found points, and plugging them back into , we have
.
Hence the absolute minimum value is .
Example Question #1 : Lagrange Multipliers
Find the dimensions of a box with maximum volume such that the sum of its edges is cm.
Example Question #1 : Lagrange Multipliers
Optimize using the constraint
Example Question #1 : Lagrange Multipliers
Maximize with constraint
Example Question #2 : Lagrange Multipliers
A company has the production function , where represents the number of hours of labor, and represents the capital. Each labor hour costs $150 and each unit capital costs $250. If the total cost of labor and capital is is $50,000, then find the maximum production.
none of the above
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