Math Problem Statement

An oil refinery is located on the north bank of a straight river that is 1 km wide. A pipeline is to be constructed from the refinery to storage tanks located on the south bank of the river 5 km east of the refinery. The cost of laying pipe is $300,000/km over land to a point P on the north bank and $600,000/km under the river to the tanks. To minimize the cost of the pipeline, how far (in km) from the refinery should P be located?

Solution

To solve this problem, let's analyze each component based on the information provided in the image.

Problem Breakdown

  1. Variables and Distance Measurements:

    • Let xx represent the horizontal distance (in km) from the point directly across the river to point PP.
    • The total distance from the refinery to the storage tanks along the riverbank is 55 km.
  2. Pipe Costs and Distances:

    • m=5xm = 5 - x km is the distance over land from the refinery to point PP along the north bank of the river.
    • n=x2+1n = \sqrt{x^2 + 1} km is the underwater distance from point PP to the storage tanks across the river.
  3. Cost Function:

    • Laying pipe over land costs $300,000 per km.
    • Laying pipe underwater costs $600,000 per km.
  4. Objective:

    • Minimize the total cost C(x)C(x) of laying the pipe.

Step 1: Formulate the Cost Function

The cost function C(x)C(x) in units of $100,000 is given by: C(x)=3(5x)+6x2+1C(x) = 3(5 - x) + 6\sqrt{x^2 + 1}

Breaking it down:

  • 3(5x)3(5 - x) accounts for the land cost (in units of $100,000).
  • 6x2+16\sqrt{x^2 + 1} accounts for the underwater cost (in units of $100,000).

Filling in Step 2

The cost function C(x)C(x) is: C(x)=153x+6x2+1C(x) = 15 - 3x + 6\sqrt{x^2 + 1}

This completes Step 2 with the cost function set up for further analysis, such as finding the derivative to minimize C(x)C(x).

Would you like details on how to differentiate this function to find the minimum cost, or have any other questions?


Further Exploration

  1. How to find the derivative C(x)C'(x) and solve for the critical points.
  2. Analysis of the critical points to determine the minimum cost.
  3. Calculating C(x)C(x) for specific values of xx to understand cost variations.
  4. Explanation of why certain values of xx may be optimal in terms of cost.
  5. Discussion on the real-world implications of pipeline placement and cost optimization.

Tip: Remember, in optimization problems, always confirm that the solution provides a minimum by checking the second derivative or testing values around the critical point.

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Math Problem Analysis

Mathematical Concepts

Optimization
Cost Minimization
Distance Formulas

Formulas

m = 5 - x
n = sqrt(x^2 + 1)
C(x) = 3(5 - x) + 6sqrt(x^2 + 1)

Theorems

Pythagorean theorem

Suitable Grade Level

Grades 10-12