Set a concert ticket at 0 dollars and the hall fills, but you earn nothing. Set it at 500 dollars and you earn nothing either, because nobody comes. Somewhere in between is the price that brings in the most money. Businesses face trade-offs like this constantly, and so do living things: a bird that stays too long in one berry patch wastes time searching for the last hidden berries, but leaving costs time finding a new patch. In both cases you build a model, differentiate, and find where the derivative is zero, just as with boxes and fences. The new part is that the models now include rational and exponential functions, and the answer has to make sense in the real situation.
Business vocabulary: if items sell at a price of dollars each, the REVENUE is . A DEMAND function gives how many items sell at each price (or the price at which a given number will sell). If is the total cost of making items, the PROFIT is . The derivatives and are called MARGINAL revenue and MARGINAL cost: roughly, the extra revenue or cost from one more item. Inside the domain, profit can be greatest only where , that is, where marginal revenue equals marginal cost (then check that it is a maximum, and compare any endpoints).
Revenue with a linear demand
A theatre finds that at a price of dollars it sells tickets. Revenue is on the closed interval (above 30 dollars, no tickets sell). Then at . Comparing , and , the best price is 15 dollars: 600 tickets and 9000 dollars of revenue. Raising the price above 15 dollars loses more in ticket sales than it gains per ticket.
Exponential demand: the bus fare
Suppose the number of bus riders per day from the suburbs to downtown is when the fare is dollars: each extra dollar loses about 13% of the riders, since . Revenue is fare times riders, . The product rule, with gives
| Fare x (dollars) | Riders per day | Revenue R(x) (dollars per day) |
|---|---|---|
Modelling: the foraging bird
A bird foraging for berries gets a net joules of food energy by spending minutes in a patch. The returns shrink as it stays, because the easy berries go first. Finding a new patch takes minutes on average (using negligible energy). The bird should not maximize itself, which keeps growing toward J; it should maximize its AVERAGE RATE of energy gain over the whole cycle of flying and foraging:
- Numerically: a table of gives J/min at , at , about at , about at , about at and at . The peak is near min, but a table cannot pin it down exactly.
- Graphically: is the slope of the line from the point (the moment the bird starts searching) to the point on the energy curve. That slope is steepest when the line just touches the curve, which is where . Graphing with technology shows the same peak.
- Algebraically: the quotient rule gives which is zero at min. It is exact and explains WHY the answer is what it is.