Math Problem Statement
Solution
To solve the problem, let’s break it down:
Definitions:
- A wire of 16 m is divided into two pieces.
- One piece is bent into a square, and the other into an equilateral triangle.
- Let x be the length of the wire used for the square, and 16 - x be the length used for the triangle.
Formulas:
-
Square Area: If the perimeter of the square is , the side length is , and the area is:
-
Equilateral Triangle Area: If the perimeter of the triangle is , each side is , and the area is:
-
Total Area: The total area is the sum of the two:
Steps to Solve:
(a) Maximize Total Area:
We need to find that maximizes . To do this:
- Compute the derivative .
- Solve to find critical points.
- Use the second derivative test or boundary values ( or ) to confirm the maximum.
(b) Minimize Total Area:
To minimize , follow the same steps as above but identify the corresponding to the minimum.
Let me calculate these values for you. sympy as sp
Define variables
x = sp.symbols('x') total_length = 16
Area formulas
A_square = (x**2) / 16 # Square area A_triangle = (sp.sqrt(3) / 36) * (total_length - x)**2 # Triangle area A_total = A_square + A_triangle # Total area
Derivative of the total area
A_prime = sp.diff(A_total, x)
Solve critical points
critical_points = sp.solve(A_prime, x)
Evaluate second derivative to classify critical points
A_double_prime = sp.diff(A_prime, x) critical_values = [(cp, A_total.subs(x, cp), A_double_prime.subs(x, cp)) for cp in critical_points]
Boundary points for total area
boundary_values = [(0, A_total.subs(x, 0)), (total_length, A_total.subs(x, total_length))]
critical_values, boundary_valuesThe critical points and boundary values have been analyzed. Here's the result:
- Critical point: meters for the square.
- Corresponding total area: .
- Nature (from second derivative): Positive, indicating **minimize area}.
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Math Problem Analysis
Mathematical Concepts
Optimization
Quadratic Functions
Geometry
Formulas
Area of a square = (side length)^2
Area of an equilateral triangle = (sqrt(3)/4) * (side length)^2
Theorems
First Derivative Test
Second Derivative Test
Suitable Grade Level
Grades 11-12
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