Homework 7 - Solution


Date: MATH 1100-2 - Spring 2002

  1. 10.3.1. We start by looking for the critical values. $ f(x) = x^3-2x^2-4x+2$, so that $ f'(x) = 3x^2-4x-4$. To solve $ f'(x)=0$ we use the quadratic formula and find that the critical values are $ x=-\frac{2}{3}$ and $ x=2$.

    To find the absolute maximum and minimum we compare the values of $ f$ at the critical values and the values at the endpoints of the interval. The highest value is the absolute maximum and the lowest the absolute minimum. From Table 1 we conclude that the maximum happens for $ x=-\frac{2}{3}$ and the minimum is $ x=2$.

    Table 1: Values of $ f$ for exercise 10.3.1.
    $ x$ $ -1$ $ -\frac{2}{3}$ $ 2$ $ 3$
    $ f(x)$ $ 3$ $ \frac{94}{27}\sim 3.48$ $ -6$ $ -1$


  2. 10.3.3. We proceed as in the previous exercise. $ f(x)=x^3+x^2-x+1$, so that $ f'(x)=3x^2+2x-1$ and the critical values are $ x=-1$ and $ x=\frac{1}{3}$. The second of these values can be discarded because it is not in the interval under consideration. Next we produce a table of values of $ f$ at the critical values and at the endpoints of the interval. Using Table 2 we conclude that the maximum is at $ x=-1$ and the minimum at $ x=-2$.

    Table 2: Values of $ f$ for exercise 10.3.3.
    $ x$ $ -2$ $ -1$ 0
    $ f(x)$ $ -1$ $ 2$ $ 1$


  3. 10.3.5.
    1. Maximizing revenue means maximizing $ R = 36x-0.01x^2$ (for $ x\geq 0$). Since $ R' = 36-0.02 x$, we see that the only critical value of $ R$ is $ x=1800$. To see if that value is a local maximum or minimum we use the second derivative test: since $ R'' =
-0.02<0$, we conclude that $ x=1800$ is a local maximum. Actually, from the fact that the graph of $ R$ is a parabola pointing downwards we immediately conclude that the local minimum is actually the absolute minimum. Thus, the minimum revenue is $ R(1800) = 32400$.
    2. If the production is limited to $ x\in [0,1500]$, the absolute maximum computed above cannot be reached (it is not in the region under consideration). So we have to consider the values of $ R$ at the endpoints $ x=0$ and $ x=1500$ (there are no critical values between them). Since $ R(0)=0$ and $ R(1500)=31500$, we conclude that the maximum revenue for a production of up to $ x=1500$ is $ 31500$.

  4. 10.3.25. Since profit $ P(x)= R(x) - C(x) =
4600x-(45000+100x+x^3) = -x^3+4500x-45000$, we look for the critical values of $ P$ by solving $ P'(x) = 0$. Since $ P'(x) = -3x^2+4500$, the critical values occur at $ x=\pm \sqrt{1500} \simeq \pm
38.73$. $ x$ being a number of units, it has to be positive, so the only interesting critical value happens at $ x\simeq 38.73$. The second derivative test says that since $ P''(38.73) = -0.02 < 0$, the point is a local maximum.

    But, $ x=38.73$ is not an integer! So we check the two closest integers to see which one has the higher value: $ P(38)=1353.56$ and $ P(39)= 1388.79$. Then we conclude that the maximum profit is $ 1388.79$, which happens when the production level is $ x=39$.

  5. 10.4.1.
    1. For each district we have to find first the critical values of the sales function. Since $ S_1 = 30+20x_1-0.4x_1^2$ and $ S_2=20+36x_2-1.3x_2^2$, we have $ S'_1 = 20-0.8x_1$ and $ S'_2 =
36-2.6x_2$, we conclude that the critical values are $ x_1=25$ and $ x_2 = 13.8462$. Since we have $ S_1'' = -0.8<0$, and $ S_2''=-2.6$, we conclude (using the second derivative test) that both critical values are local maxima. Therefore, the sales revenue are maximized by spending $ x_1=25$ and $ x_2 = 13.8462$ (millions of dollars in each case).
    2. This is just the sum of the amounts needed to maximize each region: $ 38.8462 = 25+13.8462$ millions of dollars.

  6. 10.4.5.
    1. Since the hourly number of units produced after $ t$ hours is given by $ y(t) = 70t+\frac{1}{2}t^2-t^3$, what we want to do is to maximize this function on the interval $ [0,8]$. We start by finding the critical values, that is, solving $ R'(t)=0$. Since $ R'
= 70+t-3t^2$, we see that the critical points would be $ t=-\frac{14}{3}$ and $ t=5$. But, the first is not in the region under consideration. Therefore, the only critical point is $ t=5$. From Table 3 we can compare the values of $ y$ at the critical point and at the two endpoints. We conclude that the maximum of $ y$ happens after $ t=5$ hours.

      Table 3: Values of $ y$ for exercise 10.4.5.
      $ t$ 0 $ 5$ $ 8$
      $ y(t)$ 0 $ 237.5$ $ 80$


    2. That is $ y(5) = 237.5$, reading from Table 3.

  7. 10.4.7. That is, we want to find the price $ p$ that maximizes the expenditure function $ E(p) = 10000p-100p^2$. We look for the critical points: $ E'=10000-200p$, so that the critical value is $ p=50$. Since $ E''=-200<0$, by the second derivative test we conclude that $ 50$ is a local maximum. Actually, since the graph of $ E$ is that of a parabola pointing down we conclude that $ 50$ the maximum of $ E$ is achieved when the price is $ p=50$.

  8. 10.4.13. We have to find the maximum of the function $ p(t) = \frac{6.4t}{t^2+64}+0.05$ (for $ t\geq 0$). We start by looking for the critical values.

    $\displaystyle p'(t) = \frac{6.4(t^2+64) - 6.4t \cdot 2t}{(t^2+64)^2} = \frac{- 6.4t^2+409.6}{(t^2+64)^2}.$    

    Then, the critical values satisfy: $ -6.4t^2+409.6=0$, and they are $ t= \pm 8$. Clearly, $ t=-8$ is not a possibility in the context of this problem, and the only critical value is $ t=8$. We can use the first derivative test to conclude that $ t=8$ is a local maximum. Then, the maximum value of $ p$ happens when $ t=8$ and that value is $ p(8) = 0.45$.

  9. 10.4.31. The cost function that we want to minimize is composed of two parts: plate preparation cost ($ 2\cdot x$), and press use cost, $ 12.5\cdot h$, where $ h$ is the number of press-hours needed to complete the job. Thus, in principle, the cost is

    $\displaystyle C = 2x+ 12.5 h.$    

    There is a relation between $ x$ and $ h$: if $ x$ plates are used and $ 1000$ press impressions can be made per hour, in order to produce $ 100000$ posters, $ \frac{100000}{1000x}$ press hours are needed. That is:

    $\displaystyle h = \frac{100000}{1000x}.$    

    All together, the cost function becomes:

    $\displaystyle C = 2x + 12.5\cdot \frac{100}{x} = 2x + \frac{1250}{x}.$    

    Now, we want to find the critical values of $ C$. $ C'=2-\frac{1250}{x^2}$, so that $ C'=0$ means that $ 2-\frac{1250}{x^2} = 0$, which says that $ x = \pm \sqrt{625} = \pm
25$. Since $ x$ cannot be negative, the only interesting critical value is $ x=25$.

    We use the second derivative test to check if $ x=25$ is a local minimum: $ C'' = (2-\frac{1250}{x^2})' = \frac{2500}{x^3}$. Then, $ C''(25) = 0.16 >0$,and $ x=25$ is a local minimum, as we wanted.

  10. 10.5.1.
    1. From the graph, there is a vertical asymptote at $ x=2$. From the formula $ f(x)=\frac{x-4}{x-2}$, we see that the denominator vanishes at $ x=2$, whereas the numerator doesn't, thus producing a vertical asymptote when $ x=2$.
    2. From the graph it looks like $ \lim_{x\rightarrow +\infty}
f(x)= 1$. From the formula we compute

      $\displaystyle \lim_{x\rightarrow +\infty} f(x) = \lim_{x\rightarrow +\infty} \f...
...\rightarrow +\infty} \frac{1-\frac{4}{x}}{1-\frac{2}{x}} = \frac{1-0}{1-0} = 1.$    

      Notice that the previous computation also computes $ \lim_{x\rightarrow -\infty} f(x)=1$.
    3. From the graph, it looks like there is a horizontal asymptote with $ y=1$. From the formula, the previous item shows that this is, in fact, the case.
    4. From the graph it looks like $ \lim_{x\rightarrow -\infty} f(x)=1$. As we noted above this is also the result of the computation using the formula.

  11. 10.5.5. For $ y=\frac{2x}{x-3}$, we see that the denominator vanishes when $ x=3$. Since the numerator doesn't vanish at $ x=3$, we conclude that $ x=3$ is a vertical asymptote.

    To detect horizontal asymptotes we have to compute:

    $\displaystyle \lim_{x\rightarrow\infty} \frac{2x}{x-3} = \lim_{x\rightarrow\inf...
...3}{x}} = \lim_{x\rightarrow\infty} \frac{2}{1-\frac{3}{x}} = \frac{2}{1-0} = 2.$    

    Then, there is a horizontal asymptote at $ y=2$.

  12. 10.5.9. For $ y=\frac{3x^3-6}{x^2+4}$, we look for zeros of the denominator $ x^2+4$. But this is always a positive quantity that can't vanish. Therefore, there are no vertical asymptotes.

    To detect horizontal asymptotes we have to compute:

    $\displaystyle \lim_{x\rightarrow\infty}\frac{3x^3-6}{x^2+4} = \lim_{x\rightarro...
... = \lim_{x\rightarrow\infty} \frac{3x-\frac{6}{x^2}}{1+\frac{4}{x^2}} = \infty.$    

    Therefore, there is no horizontal asymptote.



Javier Fernandez
2002-03-18