Proving Circle Has Smallest Perimeter for Same Area

In summary, the perimeter of a shape is the distance around its outer boundary, while the area is the measure of the surface enclosed by the boundary. The proof that a circle has the smallest perimeter for the same area involves using the derivative of the area formula and results in the circumference formula, 2πr. This proof applies to all shapes with finite area but not to those with infinite area. It is important to prove this concept to understand shape properties and for practical applications in fields such as geometry and engineering.
  • #1
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Hi everybody,

In physics and mathematics, we often use the theorem that the circle alway has the smallest perimeter compared to all other geometric shapes of the same area. Anyone can tell me how to prove that?
Thanks for reading.
 
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  • #2
Well, assuming the perimeter is a smooth curve, you can show with calculus of variations that the circle minimizes the perimeter for a given area.

I haven't seen the proof valid for ALL perimeters, but I'm sure it exists somewhere. :smile:
 
  • #3


Hi there,

To prove that the circle has the smallest perimeter for the same area, we can use the concept of optimization. This means that we want to find the minimum value of a function, in this case, the perimeter, while keeping the area constant.

Let's start by considering a circle with radius r and its area A = πr^2. We can express the perimeter of this circle as P = 2πr. Now, let's consider another shape with the same area A. We can express its perimeter as a function of its dimensions, let's say P(x,y). Since the area is constant, we can write x and y in terms of r, which gives us x = √(A/π) and y = √(A/π).

Now, we can substitute these values into the perimeter function of the other shape, giving us P(√(A/π), √(A/π)). We can then use the concept of partial derivatives to find the critical points of this function. The critical points are the values of x and y that make the derivative of P(x,y) with respect to x and y equal to 0.

After finding the critical points, we can use the second derivative test to determine whether these points are minimum, maximum, or saddle points. If the second derivative is positive, then the critical point is a minimum, which means that the perimeter is minimized when x = √(A/π) and y = √(A/π). This corresponds to a circle with radius r = √(A/π).

Therefore, we can conclude that the circle has the smallest perimeter for the same area, as it is the only shape that satisfies the condition of having a minimum perimeter while keeping the area constant. I hope this helps to prove the theorem you mentioned. Let me know if you have any further questions.
 

1. What is the definition of perimeter and area?

The perimeter of a shape is the distance around its outer boundary. The area is the measure of the surface enclosed by the boundary of a shape.

2. How can you prove that a circle has the smallest perimeter for the same area?

The proof involves using the derivative of the area formula for a circle and setting it equal to zero to find the minimum value. This results in the formula for the circumference of a circle, 2πr. Since this is a constant, it means that for any given area, the circle will always have the same minimum perimeter.

3. Can you provide an example of how this works?

Sure! Let's say we have two shapes with the same area, a circle and a square. The area of a circle with radius 1 is π, and the perimeter is 2π. The area of a square with side length 1 is also 1, but the perimeter is 4. This shows that the circle has a smaller perimeter for the same area.

4. Is this proof applicable to all shapes?

No, this proof only applies to shapes with a finite area. It does not apply to shapes with infinite area, such as a line or a curve.

5. Why is it important to prove that a circle has the smallest perimeter for the same area?

Proving this concept helps us understand the properties of different shapes and how they relate to each other. It also has practical applications, such as in geometry and engineering, where minimizing perimeter is important for efficiency and cost-effectiveness.

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