Numerical, Graphical, and Analytical Math Problem Solving
See the same math problem solved three different ways: using a numerical table of values, using a graph, and using an exact analytical formula. This comparison helps you understand the strengths and limits of each approach.
The Problem
A farmer has \(150\) meters of fencing to enclose three adjacent identical rectangular gardens.
The layout is three rectangles placed side by side. This requires 4 vertical fence segments of length \(y\) and 6 horizontal fence segments of length \(x\).
Step-by-Step Solutions
Part 1: Equations for perimeter and area (Questions a & b)
Question a) What is the relationship between \(x\) and \(y\) based on the available fencing?
Question b) Write the total area \(A\) of the three gardens as a function of \(x\).
Solution:
a) The layout uses 6 horizontal segments of length \(x\) and 4 vertical segments of length \(y\). Total fencing is 150 m, so:
\[ 150 = 6x + 4y \]b) The total area is total length \((3x)\) times width \(y\):
\[ A = 3xy \]Solve the perimeter equation for \(y\):
\[ 4y = 150 - 6x \implies y = \frac{75 - 3x}{2} \]Substitute into the area formula:
\[ A(x) = 3x \cdot \frac{75 - 3x}{2} = \frac{225x - 9x^2}{2} \]Part 2: Domain of the function (Question c)
Question c) Find the domain of the function \(A(x)\).
Solution:
Both length \(x\) and width \(y\) must be positive.
Condition 1: \(x > 0\)
Condition 2: \(y > 0 \implies \dfrac{75 - 3x}{2} > 0\)
Solve the second inequality:
\[ 75 - 3x > 0 \implies 75 > 3x \implies x < 25 \]Combining the conditions, the domain is the open interval:
\[ (0, 25) \]Part 3: Numerical method (Questions d & e)
Question d) Create a table of values of \(A(x)\) for \(x = 0, 5, 10, 15, 20, 25\).
Question e) Use the table to approximate the value of \(x\) that maximizes \(A(x)\).
Solution:
d) Use \(A(x) = 3x(75 - 3x)/2\):
| \(x\) | \(A(x)\) |
|---|---|
| 0 | 0 |
| 5 | 450 |
| 10 | 675 |
| 15 | 675 |
| 20 | 450 |
| 25 | 0 |
e) The area peaks at 675 for both \(x = 10\) and \(x = 15\), so the maximum must lie between them. Refine the table:
| \(x\) | \(A(x)\) |
|---|---|
| 10 | 675 |
| 11 | 693 |
| 12 | 702 |
| 13 | 702 |
| 14 | 693 |
| 15 | 675 |
The maximum is between \(x = 12\) and \(x = 13\), so we estimate \(x \approx 12.5\).
Part 4: Graphical method (Question f)
Question f) Graph \(A(x)\) and approximate the value of \(x\) that maximizes the area.
Solution:
The graph of the quadratic \(A(x)\) is a downward-facing parabola:
The highest point of the curve (the vertex) appears halfway between \(x = 10\) and \(x = 15\). From the graph, we estimate \(x \approx 12.5\).
Part 5: Analytical method (Question g)
Question g) Find the vertex of \(A(x)\) analytically to get the exact value of \(x\) that maximizes the area.
Solution:
Write \(A(x)\) in standard form \(ax^2 + bx + c\):
\[ A(x) = -\frac{9}{2}x^2 + \frac{225}{2}x \]For a quadratic \(ax^2 + bx + c\), the vertex has \(x\)-coordinate:
\[ h = \frac{-b}{2a} \]With \(a = -\dfrac{9}{2}\) and \(b = \dfrac{225}{2}\):
\[ h = \frac{-\dfrac{225}{2}}{2\left(-\dfrac{9}{2}\right)} = \frac{-\dfrac{225}{2}}{-9} = \frac{225}{18} = 12.5 \]Since the leading coefficient \(a = -\dfrac{9}{2} < 0\), the parabola opens downward, so this vertex is a maximum. The exact maximizing value is \(x = 12.5\).
Part 6: Conclusion and comparison (Questions h & i)
Question h) Compare the values of \(x\) found in the numerical, graphical, and analytical methods.
Question i) Compare the strengths and weaknesses of the three methods.
Solution:
h) The numerical and graphical methods both led to an estimate of \(x = 12.5\). The analytical method gave the exact value \(x = 12.5\), matching the estimates perfectly.
i) Method comparison:
- Efficiency: With a computer or graphing calculator, numerical and graphical methods are fast and intuitive. The analytical method requires algebraic manipulation but yields an exact answer with less computation once set up.
- Versatility: Many real-world equations cannot be solved analytically. In those cases, numerical and graphical methods are the only practical options.
- Precision: The analytical method gives exact answers (fractions, radicals, \(\pi\)). Numerical and graphical methods give approximations, though modern computing allows very high precision.
Key Takeaways
- Set up the constraint equation first (here: fencing), then express the quantity to be optimized in terms of one variable.
- Numerical tables quickly reveal where a maximum or minimum is likely to be.
- Graphs give an intuitive visual confirmation of the location of the extremum.
- The analytical vertex formula \(h = -b/(2a)\) gives the exact answer for a quadratic.
- Use each method when it fits the problem: exact math when possible, numerical/graphical when not.