The goal is to maximize the volume of the cone,
.
However, it has to fit inside a sphere of radius , so in particular, we should have , and .
We will use a constraint to eliminate one of the variables, for example . it is important to draw a sketch to determine the relationship between and that forms a constraint.
We will determine the height of the cone by first finding the length of the green side labeled  .
In the diagram, we draw the cross-section of the two shapes, which reveals an equilateral triangle inscribed in a circle of fixed radius . We want to express in terms of the variable (radius of cone base) and the fixed radius . To do so, note that
, where is a side length (shown in green) of a right angle triangle with other sides . Hence so we have that
now we can express the cone volume as
.
(The last step, where we combined terms inside the square-root is optional, but avoids needing to use the product rule in differentiating.)
We have now expressed the volume of the cone in terms of a single variable, , and a fixed (constant) . We find critical points by setting . Computing the derivative, we have
.
We now have to solve for :
Either (which is trivial) or else we can cancel out several factors of
Square both sides:
Simplifying algebraically:
Finally, we arrive at the radius of the cone base,
so that .
We can then (optionally) find the cone height from the formula above, namely
and we can also find the volume of the optimal cone
.
We still need to justify that this is the largest and not the smallest cone, i.e. that the critical point is a local maximum. The best way to do this is to observe that
at the two endpoints of the interval , and that is positive inside that interval. Hence, since there is only one critical point in this interval, it has to be a local maximum.
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