Optimization Problems Worksheet - Math 105, Sections 10.3 & 10.4 Calculus For Economics & Business

ADVERTISEMENT

1
Math 105- Calculus for Economics & Business
Sections 10.3 & 10.4 : Optimization problems
How to solve an optimization problem?
1. Step 1: Understand the problem and underline what is important ( what is known, what is unknown,
what we are looking for, dots)
2. Step 2: Draw a “diagram”; if it is possible.
3. Step 3: Assign “symbols” or “variables” for all the quantities involved (know or unknown), and label
the diagram.
4. Step 4: Write the quantity Q to be maximized or minimized in terms of some of the previous variables
(from Step 3). Example: Q = g(x, y, h)
5. Step 5: Rewrite Q as a function of only one variable. To do this, find the relationships between the
variables using the information given in the problem. Then, use these equations to eliminate all but one
of the variables in the expression of Q. Thus, we get Q = f (x).
6. Step 5: Use the methods of sections 10.1 and 10.2 to find the maximum or the minimum of the quantity
Q = f (x).
7. REMARK: Do not forget to find the endpoints and to check if the maximum or the minimum is at these
points if you have more than one critical number in the domain.
8. Short-cut: If there is only one critical number a in the domain, then :
if we have a local maximum at a =
we have a global maximum at a,
if we have a local minimum at a
=
we have a global minimum at a.
In other term, we do not need to check the position of the endpoints.
9. Reminder: At the worksheet I gave you in the beginning of the semester (it is the KEY FORMULAS for
Chapter 9 posted at the homework assignment web page) of the textbook, you can find all the formulas
related to the cost, revenue and profit. You should work
Examples:
Problem 1. The regular air fare between Boston and San Francisco is $500. An airline using
planes with a capacity of 300passengers on this route observes that they fly with an average of
180 passengers. Market research tells the airlines’ managers that each $ 5 fare reduction would
attract, on average, 3 more passengers for each flight. How should they set the fare to maximize
their revenue? Explain your reasoning to receive credit.
Let R= the revenue function = quantity
price
Let n= the number of times the fare is reduced by $ 5 dollars. Then:
price
= $500
n ($5) = 500
5n dollars,
quantity = number of passengers = 180passengers + n (3passengers) = 180 + 3n passengers.
2
Hence
R(n) = (180 + 3n)(500
5n) = 90 000 + 600n
15n
to maximize (for 0
n
40).
600
R (n) = 600
30n = 0
n =
= 20 is the only critical number.
30
R (n) =
30
R (20) =
30 < 0. By the second derivative test, R has a local maximum at n = 20,
which is an absolute maximum since it is the only critical number.
The best fare to maximize the revenue is then: $ 500
5(20) = $400 , with 180 + 3(20) = 240 passengers
and a revenue of R(20) = $96, 000 .

ADVERTISEMENT

00 votes

Related Articles

Related forms

Related Categories

Parent category: Education
Go
Page of 4