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91Ó°ÊÓ

Show that for a rectangle of given perimeter \(K\) the one with maximum area is a square.

Short Answer

Expert verified
Among rectangles with a fixed perimeter, a square has the maximum area.

Step by step solution

01

Understand the Problem

We need to show that, among all rectangles with a given perimeter \( K \), the rectangle with the maximum area is a square.
02

Set up the Relations

Let the length and width of the rectangle be \( l \) and \( w \), respectively. The perimeter is given by the formula \( P = 2l + 2w = K \). Therefore, \( w = \frac{K}{2} - l \).
03

Express the Area

The area \( A \) of the rectangle is given by \( A = l \times w \). Substitute for \( w \) from the previous step: \[ A = l \left( \frac{K}{2} - l \right) = \frac{K}{2}l - l^2. \]
04

Find the Maximum Area

We need to maximize \( A = \frac{K}{2}l - l^2 \). This can be done by finding the derivative \( \frac{dA}{dl} = \frac{K}{2} - 2l \). Set \( \frac{dA}{dl} = 0 \) to find the critical points.Thus, \( \frac{K}{2} - 2l = 0 \) implies \( l = \frac{K}{4} \).
05

Confirm it's a Maximum with the Second Derivative Test

Calculate the second derivative \( \frac{d^2A}{dl^2} = -2 \). Since \( \frac{d^2A}{dl^2} < 0 \), the function has a maximum at \( l = \frac{K}{4} \).
06

Conclude the Shape

Since \( l = \frac{K}{4} \) and \( w = \frac{K}{2} - l = \frac{K}{4} \), the rectangle is a square with side \( \frac{K}{4} \). Thus, a square has the maximum area for a given perimeter.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Perimeter
In geometry, the perimeter of a shape is the total distance around it. For a rectangle, the perimeter is calculated by the formula \( P = 2l + 2w \), where \( l \) is the length and \( w \) is the width. This formula is crucial when determining the relationship between the sides of a rectangle, especially when dealing with a fixed perimeter.
When you fix a perimeter \( K \), you can express one dimension in terms of the other, like we did with the width \( w = \frac{K}{2} - l \). This allows us to substitute into other equations, such as the area, to explore different properties and optimize certain quantities.
  • Keeping the perimeter constant while changing other dimensions helps in examining how different shapes, like rectangles, translate into maximum or minimum areas.
  • This property is widely utilized in optimization problems, allowing us to find extreme values — in this case, maximum area.
Critical Points
Critical points are values that give potential maximum or minimum values of a function. In optimization, finding critical points is the first step in determining where these extreme values occur.
For the rectangle's area function \( A = \frac{K}{2}l - l^2 \), we took the derivative \( \frac{dA}{dl} \), which resulted in \( \frac{dA}{dl} = \frac{K}{2} - 2l \). Setting this derivative to zero helps us find the critical points of the function, which are the values of \( l \) where the behavior of the function changes.
  • In this exercise, solving \( \frac{K}{2} - 2l = 0 \) allowed us to find the critical point \( l = \frac{K}{4} \).
  • Finding this critical point is vital because it pinpoints where we should check for maximum or minimum areas of rectangles with a given perimeter.
Second Derivative Test
The second derivative test is used to verify if a critical point found is a maximum, minimum, or a point of inflection. By looking at the second derivative of a function, we can determine the concavity at a point.
For the area function of the rectangle \( A = \frac{K}{2}l - l^2 \), the second derivative is \( \frac{d^2A}{dl^2} = -2 \). The fact that this second derivative is negative indicates that the function is concave down at the critical point \( l = \frac{K}{4} \). This means the area has a maximum at this length.
  • A negative second derivative implies a local maximum, which means our critical point is indeed providing the rectangle with the largest possible area given the perimeter \( K \).
  • The second derivative test helps confirm that the rectangle indeed takes the form of a square, proving the shape for maximum area with fixed perimeter.

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