How to find the maximum area of a rectangle?
Understand the Problem
The question is asking for methods or approaches to determine the maximum area of a rectangle, likely involving the use of mathematical principles such as optimization or geometry.
Answer
The rectangle with maximum area for a fixed perimeter is a square with side length $\frac{P}{4}$.
Answer for screen readers
The maximum area of a rectangle with a fixed perimeter occurs when the rectangle is a square with side length given by $L = W = \frac{P}{4}$.
Steps to Solve
- Define the dimensions of the rectangle
Let the length of the rectangle be $L$ and the width be $W$. The area $A$ of the rectangle can be expressed as: $$ A = L \times W $$
- Express one dimension in terms of the other
If we have a constraint for the perimeter $P$, such as $P = 2L + 2W$, we can express $W$ in terms of $L$: $$ W = \frac{P}{2} - L $$
- Substitute to find the area in one variable
Now substitute for $W$ in the area formula: $$ A = L \left(\frac{P}{2} - L\right) $$ This expands to: $$ A = \frac{P}{2}L - L^2 $$
- Find the maximum area using calculus
To maximize the area, take the derivative of $A$ with respect to $L$ and set it to zero: $$ \frac{dA}{dL} = \frac{P}{2} - 2L = 0 $$
- Solve for L
Solving the equation gives: $$ 2L = \frac{P}{2} $$ $$ L = \frac{P}{4} $$
- Find the corresponding W
Substituting $L$ back in to find $W$: $$ W = \frac{P}{2} - \frac{P}{4} = \frac{P}{4} $$
- Conclusion
Thus, the length and width that maximize the area, given a fixed perimeter, are both equal. Hence, the rectangle is actually a square.
The maximum area of a rectangle with a fixed perimeter occurs when the rectangle is a square with side length given by $L = W = \frac{P}{4}$.
More Information
This principle of maximizing rectangle area is related to optimization in calculus. It demonstrates how geometric constraints impact geometry and can lead to symmetry in shapes.
Tips
- Confusing the dimensions of the rectangle when applying constraints.
- Forgetting to set the derivative to zero when looking for critical points.
- Not checking for maximum/minimum points after obtaining the critical values.