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.

Diagram of three adjacent rectangular gardens with horizontal length x and vertical width y

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 \(A(x) = 3x(75 - 3x)/2\):

\(x\)\(A(x)\)
00
5450
10675
15675
20450
250

e) The area peaks at 675 for both \(x = 10\) and \(x = 15\), so the maximum must lie between them. Refine the table:

\(x\)\(A(x)\)
10675
11693
12702
13702
14693
15675

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:

Graph of the quadratic area function A(x), a downward parabola peaking around x = 12.5

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.

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