Math Problem Statement

A manufacturer finds that the revenue generated by selling x units of a certain commodity is given by the function, R(x) = 80x - 0.4x^2 where the revenue is measured in dollars. What is the maximum revenue, and how many units should be manufactured to obtain this maximum? (Round to nearest whole amount)

Solution

To solve this problem, we are given the revenue function for the manufacturer:

R(x)=80x0.4x2R(x) = 80x - 0.4x^2

where xx represents the number of units sold, and R(x)R(x) is the revenue in dollars. We need to find the maximum revenue and the number of units xx that maximizes this revenue.

Solution Steps:

  1. Find the derivative of R(x)R(x): To find the maximum, we need to take the derivative of R(x)R(x) with respect to xx and set it equal to zero. R(x)=800.8xR'(x) = 80 - 0.8x

  2. Set the derivative to zero and solve for xx: 800.8x=080 - 0.8x = 0 0.8x=800.8x = 80 x=800.8=100x = \frac{80}{0.8} = 100

    So, x=100x = 100 units should be manufactured to achieve maximum revenue.

  3. Calculate the maximum revenue by substituting x=100x = 100 back into R(x)R(x): R(100)=80(100)0.4(100)2R(100) = 80(100) - 0.4(100)^2 R(100)=80000.4×10000R(100) = 8000 - 0.4 \times 10000 R(100)=80004000=4000R(100) = 8000 - 4000 = 4000

Answer:

  • Maximum Revenue: $4000
  • Number of Units for Maximum Revenue: 100 units

Would you like more details on any part of this solution, or do you have any other questions?

Here are some related questions to expand on this topic:

  1. What is the significance of the second derivative in verifying maximum revenue?
  2. How would the maximum revenue change if the function had a different quadratic term?
  3. What are other methods to find maximum points of a quadratic function besides differentiation?
  4. How does the concept of maximum revenue relate to the real-world pricing strategy?
  5. How would we interpret the result if the derivative did not equal zero?

Tip: For optimization problems, always check the sign of the second derivative to confirm if the critical point is a maximum or a minimum.

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Math Problem Analysis

Mathematical Concepts

Calculus
Optimization
Quadratic Functions

Formulas

R(x) = 80x - 0.4x^2
First derivative R'(x) for optimization

Theorems

First Derivative Test

Suitable Grade Level

Grade 12 or College Calculus