Assume you wish to make a box whose base is a rectangle with one side twice as long as the other side and whose volume is 100 m^3. What would the minimum surface area be, if there is a minimum surface area?

b) Under the same sceenerio as in (a), what would the maximum surface area be, if ter is one?

To find the minimum and maximum surface area of the box, we need to use algebraic equations based on the given information.

Let's start with the first scenario:

a) We are given that the base of the box is a rectangle with one side twice as long as the other side. Let's assume the shorter side is represented by 'x' (in meters). Therefore, the longer side would be '2x' (twice as long).

The volume of the box is given as 100 m^3. The volume of a rectangular box is calculated by multiplying the length, width, and height. In this case, the height is unknown, so let's represent it as 'h'.

Equation for volume: length * width * height = 100

Substituting the values we have, the equation becomes:
x * 2x * h = 100

To find the minimum surface area, we need to minimize the total surface area of the box. The surface area is calculated by adding the areas of all the sides (base, top, and four sides).

Total surface area of the box = 2(length * width + length * height + width * height)

Substituting x for the shorter side and 2x for the longer side, we get:
Surface area = 2((x * 2x) + (x * h) + (2x * h))
Surface area = 2(2x^2 + xh + 2xh)
Surface area = 4x^2 + 6xh

To find the minimum surface area, we need to minimize this function. We can do that by finding the minimum value of the function with respect to 'x' and 'h'. However, without additional constraints or restrictions, this function does not have a guaranteed minimum surface area.

b) In the same scenario as above, to find the maximum surface area, we need to maximize the total surface area. Again, using the same formula for total surface area:

Surface area = 4x^2 + 6xh

To find the maximum surface area, we can use optimization techniques such as partial derivatives or analysis of critical points. However, without additional constraints or restrictions, the maximum surface area is unbounded.

In conclusion, without any additional constraints or restrictions, there is no guaranteed minimum or maximum surface area for the given scenario.