Math Problem Statement

The cost of manufacturing π‘₯ badminton rackets per day is given by the function

𝐢(π‘₯)=500+7π‘₯+0.0002π‘₯^2

Each racket can be sold at a price of 𝑝 dollars, where 𝑝=12βˆ’0.0003π‘₯ . Find the number of rackets to be manufactured which maximizes the daily profit for the company

Solution

To solve this problem, we need to maximize the daily profit for the company, which is the difference between the revenue and the cost of manufacturing badminton rackets.

Step 1: Profit Function

The revenue R(x)R(x) is the price per racket multiplied by the number of rackets sold, i.e., R(x)=pβ‹…xR(x) = p \cdot x. Given that p=12βˆ’0.0003xp = 12 - 0.0003x, the revenue function becomes:

R(x)=(12βˆ’0.0003x)β‹…x=12xβˆ’0.0003x2R(x) = (12 - 0.0003x) \cdot x = 12x - 0.0003x^2

The cost function C(x)C(x) is given as:

C(x)=500+7x+0.0002x2C(x) = 500 + 7x + 0.0002x^2

The profit function P(x)P(x) is the difference between the revenue and the cost:

P(x)=R(x)βˆ’C(x)=(12xβˆ’0.0003x2)βˆ’(500+7x+0.0002x2)P(x) = R(x) - C(x) = (12x - 0.0003x^2) - (500 + 7x + 0.0002x^2)

Simplify the profit function:

P(x)=12xβˆ’0.0003x2βˆ’500βˆ’7xβˆ’0.0002x2P(x) = 12x - 0.0003x^2 - 500 - 7x - 0.0002x^2

P(x)=(12xβˆ’7x)βˆ’(0.0003x2+0.0002x2)βˆ’500P(x) = (12x - 7x) - (0.0003x^2 + 0.0002x^2) - 500

P(x)=5xβˆ’0.0005x2βˆ’500P(x) = 5x - 0.0005x^2 - 500

Step 2: Maximizing the Profit

To find the number of rackets that maximizes profit, we need to take the derivative of P(x)P(x) with respect to xx, and set it equal to zero.

Pβ€²(x)=ddx(5xβˆ’0.0005x2βˆ’500)P'(x) = \frac{d}{dx} \left( 5x - 0.0005x^2 - 500 \right)

Pβ€²(x)=5βˆ’0.001xP'(x) = 5 - 0.001x

Set the derivative equal to zero to find the critical points:

5βˆ’0.001x=05 - 0.001x = 0

Solve for xx:

0.001x=50.001x = 5

x=50.001=5000x = \frac{5}{0.001} = 5000

Step 3: Verify Maximum Using the Second Derivative

To confirm that this critical point is a maximum, we compute the second derivative of P(x)P(x):

Pβ€²β€²(x)=ddx(5βˆ’0.001x)=βˆ’0.001P''(x) = \frac{d}{dx} \left( 5 - 0.001x \right) = -0.001

Since Pβ€²β€²(x)=βˆ’0.001P''(x) = -0.001 is negative, the function is concave down, and thus, x=5000x = 5000 corresponds to a maximum.

Conclusion

The number of rackets that should be manufactured to maximize the daily profit is 5000 rackets.

Would you like further details on any step or have any questions?

Here are 5 related questions:

  1. How do you calculate revenue from price and quantity?
  2. What is the role of the second derivative in determining maxima or minima?
  3. How do you interpret the profit function in terms of revenue and cost?
  4. What are the general conditions to maximize a function?
  5. What are some real-world factors that could affect the profit function beyond this model?

Tip: Always verify whether the critical point is a maximum or minimum by using the second derivative or analyzing the function's behavior around the critical point.

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Math Problem Analysis

Mathematical Concepts

Optimization
Revenue and Cost Functions
Derivatives
Quadratic Equations

Formulas

Revenue: R(x) = (12 - 0.0003x) * x = 12x - 0.0003x^2
Cost: C(x) = 500 + 7x + 0.0002x^2
Profit: P(x) = R(x) - C(x) = 5x - 0.0005x^2 - 500
First derivative for maximizing profit: P'(x) = 5 - 0.001x

Theorems

Critical Points Theorem
Second Derivative Test

Suitable Grade Level

Grades 11-12