To find the minimum area of the rectangular enclosure, we can use the same approach of differentiation. However, instead of finding the maximum value, we will find the minimum value of the function.
Let's first set up the function for the area of the rectangular enclosure:
A = xy
Where x is the length and y is the width of the enclosure. We know that the perimeter of the enclosure is 100m, so we can set up an equation to represent this:
2x + 2y = 100
Solving for y, we get:
y = 50 - x
Substituting this into the area function, we get:
A = x(50 - x) = 50x - x^2
To find the minimum value of this function, we can use the process of differentiation. Taking the derivative of the function, we get:
A' = 50 - 2x
Setting this equal to 0 to find the critical points, we get:
50 - 2x = 0
2x = 50
x = 25
We can see that this value of x is the same as the one we found for the maximum area. This makes sense because the minimum and maximum values of a quadratic function occur at the same x-coordinate.
To find the minimum area, we can plug this value of x back into the original function:
A = 50(25) - (25)^2 = 625
Therefore, the minimum area of the rectangular enclosure is 625 square meters when the sides are both 25 meters long. This result is also supported by the fact that a square has the largest area for a given perimeter. In this case, the square has sides of 25 meters and an area of 625 square meters.
In conclusion, by using differentiation, we can find both the maximum and minimum values of a function, in this case, the area of a rectangular enclosure. This allows us to optimize the dimensions of the enclosure to either have the maximum or minimum area.