The automobile assembly plant you manage has a Cobb-Douglas production function given by P = (10x^0.3)(y^0.7) where P is the number of automobiles it produces per year, x is the number of employees, and y is the daily operating budget (in dollars). You maintain a production level of 600 automobiles per year. If you currently employ 150 workers and are hiring new workers at a rate of 5 per year, how fast is your daily operating budget changing?
Is this calculus?
yes
Differentiate both sides with respect to \(t\) using the chain rule. Note that \(P' = 0\) since production remains constant. \(x' = 5\).
You're going to have to use the equation pre-differentiation to figure out the value of \(y\). Your goal is to find \(y'\)
how do I do that?
@wio
We need to use this equation to find \(y\) first of all.\[ P = (10x^{0.3})(y^{0.7}) \]
"You maintain a production level of 600 automobiles per year"\[ P = 6000 \]"you currently employ 150 workers"\[ x=150 \]
So this is enough info to solve for \(y\)
@krizzym You don't know how to plug and chug this thing?
@wio I'm trying to learn how to do it and i wanted to see the steps to getting the answer
@wio what do I do with the 0.7 so i can get y by itself?
\(0.7 = 7/10\) So the reciprocal is \(10/7\). Raise both sides to that power.
@wio Im still not getting it
@wio can you show me a step by step review?
http://www.wolframalpha.com/input/?i=6000++%3D+%2810%28150%29%5E0.3%29%28y%5E0.7%29
\[\begin{array}{rcl} 6000 &=& (10(150)^{0.3})(y^{0.7}) \\ \frac{600}{150^{0.3}} &=& y^{0.7} \\ \left(\frac{600}{150^{0.3}}\right)^{1/0.7} &=& y \\ \end{array} \]
Can you follow this?
@yes
I hope there is no user named yes.
sorry i meant to @ your username @wio lol thanks
\[ P = (10x^{0.3})(y^{0.7}) \]We differentiate both sides with respect to \(t\). We have to use chain rule: \[ P' = (10x^{-0.7}x')(y^{-0.3}y') \]We know \(P'=0,x=150,x'=5\)
"You maintain a production level of 600 automobiles per year." \[ P'=0 \] " hiring new workers at a rate of 5 per year" \[ x'=5 \]
I gotta go, good luck.
@wio ok thanks
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