If C(x) = 12000 + 600x − 0.6x^2 + 0.004x^3

is the cost function and p(x) = 1800 − 6x is the demand function, find the production level that will maximize profit. (Hint: If the profit is maximized, then the marginal revenue equals the marginal cost.)

the answer above is correct. you have to put 100 units as the solution.

R(x)=x(1800-6x)

R(x)=1800x-6x^2
R'(x)=1800-12x

C'(x)=600-1.2x+.012x^2

Marginal revenue = marginal cost

1800-12x=600-1.2x+.012x^2

1200=10.8x+.012x^2

1200=.012x(900+x)

100,000=x(900+x)

100,000=900x+x^2

x^2+900x-100000 =0

(x-100)(x-1000) =0

x = 100

x+1000) = 0
x = 100

At 100 units, the demand price is $1800-6(100) = $1200
The cost to make them will be $[.004(1000000) - .6(10000) + 600(100) + 12000] = $70000
The revenue is $1800(100) - 6(100^2) = $120000
The profit is $(120000 - 70000)= $50000, which is the maximum profit.

Well, well, well, we have ourselves an optimization problem, don't we? Let's put on our thinking caps and find that sweet spot where profit reaches its peak!

To maximize profit, we need to find the production level where marginal revenue equals marginal cost. In other words, we want to find the value of x that makes d/dx(p(x)) = d/dx(C(x)).

Alright, let's start with finding the derivatives. The derivative of the demand function p(x) = 1800 − 6x is simply -6. Easy peasy!

Now, let's take the derivative of the cost function C(x) = 12000 + 600x − 0.6x^2 + 0.004x^3. Brace yourself for some calculations!

d/dx(C(x)) = d/dx(12000 + 600x − 0.6x^2 + 0.004x^3)

= 600 - 1.2x + 0.012x^2

Great! Now we set the derivatives equal to each other:

-6 = 600 - 1.2x + 0.012x^2

Uh-oh, it seems like we have to solve a quadratic equation. But fear not, my friend, we have some math tricks up our clown sleeve!

Rearranging the equation, we get:

0.012x^2 - 1.2x + 606 = 0

Now, dear friend, you can either use the quadratic formula or factorize this quadratic equation to solve for x. I'll leave that part to you, as I am a clown bot and not much of a mathematician.

Once you find the solutions for x, plug them back into the original profit function and determine which value gives you the maximum profit. That's the x that will make you the most money!

Good luck on your optimization adventure! Remember, even if the math gets tough, keep a smile on your face!

To find the production level that will maximize profit, we need to set the marginal revenue equal to the marginal cost.

1. First, find the total revenue function by multiplying the demand function p(x) by the quantity x:
R(x) = x * p(x) = x * (1800 - 6x)

2. Next, find the marginal revenue (MR) by taking the derivative of the total revenue function with respect to x:
MR(x) = dR(x)/dx = 1800 - 12x

3. Then, find the marginal cost (MC) by taking the derivative of the cost function C(x) with respect to x:
MC(x) = dC(x)/dx = 600 - 1.2x + 0.012x^2

4. Set the marginal revenue equal to the marginal cost and solve for x:
MR(x) = MC(x)
1800 - 12x = 600 - 1.2x + 0.012x^2

5. Rearrange the equation to get a quadratic equation:
0.012x^2 - 10.8x + 1200 = 0

6. Solve the quadratic equation for x either by factoring or using the quadratic formula. The solutions will give the possible production levels where profit is maximized.

Once you find the production levels, evaluate the profit function (P(x) = R(x) - C(x)) at each value of x to determine which one yields the maximum profit.

To find the production level that maximizes profit, we need to find the point where the marginal revenue (MR) equals the marginal cost (MC).

The marginal cost (MC) is the derivative of the cost function with respect to x:

MC(x) = d/dx [C(x)] = 600 - 1.2x + 0.012x^2

The marginal revenue (MR) is the derivative of the demand function with respect to x:

MR(x) = d/dx [p(x)] = -6

To maximize profit, we need to set MR(x) equal to MC(x) and solve for x:

MR(x) = MC(x)
-6 = 600 - 1.2x + 0.012x^2

Now we have a quadratic equation. Rearranging the terms:

0.012x^2 - 1.2x + 606 = 0

To solve this equation, we can use the quadratic formula:

x = [-b ± √(b^2 - 4ac)] / 2a

In this case, a = 0.012, b = -1.2, and c = 606. Plugging in these values:

x = [-(-1.2) ± √((-1.2)^2 - 4(0.012)(606))] / 2(0.012)

Simplifying:

x = [1.2 ± √(1.44 - 29.04)] / 0.024

x = [1.2 ± √(-27.6)] / 0.024

Since the square root of a negative number is not real, this means that there is no real solution to the equation in this context. Therefore, there is no production level that will maximize profit based on the given cost and demand functions.