Matthew F. answered 05/15/22
Graduate Teaching Associate and Tutor of Mathematics
This is a pretty standard optimization problem in a single variable calculus class. We aim to find two numbers, which we'll call x and y, that satisfy the given conditions. We do this by taking the following steps:
(1) Setting up the problem.
(2) Getting a single variable function that we'll call f(x).
(3) Finding the derivative f'(x) and it's critical points.
Suppose that x + y = 32. We aim to optimize the expression √x + √y. The problem is that this is in terms of two variables. We'd really like it to be in terms of one variable; say x.
Notice that we can solve for y: y = 32 - x. This allows us to work with √x + √(32-x) instead of √x + √y. So define
f(x) = √x + √(32 - x)
We now have a one variable function which we can perform calculus on. Let's find the derivative of f(x). To make our lives easier, let's use rational notation instead of radical notation.
f(x) = (x)1/2 + (32-x)1/2
⇒ f ' (x) = 1/2 * [ ( 1 / √x ) - ( 1 / √(32 - x) ) ]
Slightly annoying function, but we have something we can optimize. Let's find this functions critical points. We set f'(x) = 0 and solve for 6.
Using algebra, we find that x = 16 is our only solution. Now, plugging 15 and 17 into f'(x) gives us the following:
f'(15) = 0.00783163 > 0
f'(17) = -0.00783163 < 0
This tells us that x = 16 is a local maximum for f(x). Therefore, we can conclude that x = 16 and y = 32 - 16 = 16 and we're done!
Matthew F.
This problem is asking us to maximize the sum of square roots. I think you're trying to maximize the project of x and (32-x).05/15/22