The Architect's Dilemma
Optimizing the Window of Light
Imagine you are an architect tasked with designing a window that is both structurally sound and aesthetically pleasing, but with a twist: you need to maximize the amount of light entering a room. The window is a beautiful composite shape—a rectangle topped with a semi-circular arch.
You have a fixed amount of framing material, which we call the perimeter P. This is a classic optimization problem that bridges the gap between pure geometry and the practical application of calculus.
Phase 1
The Geometry and the Perimeter Trap
Before we dive into the calculus, we must master the geometry. Let the width of the rectangular base be x and its height be y.
The semi-circle sits perfectly atop this rectangle, meaning its diameter is x, and its radius r is 2x.
Now, here is where most students stumble: the perimeter constraint. The problem explicitly states that the perimeter includes the base of the arch. This means the total length of the frame is the sum of the bottom base (x), the two vertical sides (2y), the curved arc of the semi-circle (πr=2πx), and the horizontal partition line between the rectangle and the arch (x).
Summing these, we get the constraint equation:
This is our foundation. If we miss that partition line, the entire optimization will be skewed.
Phase 2
The Light Transmission Function
We want to maximize the light L. We are told the clear glass in the rectangle transmits three times as much light per square meter as the colored glass in the arch.
Let the transmission rate of the colored glass be 1 unit. Then the clear glass has a rate of 3 units.
The total light is:
L=3⋅Arearect+1⋅Areasemi
Substituting the geometric formulas, where the area of the rectangle is xy and the area of the semi-circle is 21πr2=8πx2, we get:
To optimize this, we need L in terms of a single variable. From our perimeter equation, we can isolate y:
2y=P−2x−2πx⟹y=2P−x−4πx
Substituting this into our light equation transforms it into a function of x alone:
L(x)=3x(2P−x−4πx)+8πx2
Expanding this, we find:
L(x)=23Px−3x2−43πx2+8πx2=23Px−3x2−85πx2
Phase 3
The Calculus of Optimization
Now, we reach the heart of the problem. To find the maximum, we calculate the derivative dxdL and set it to zero.
Differentiating our function L(x) gives:
Setting this to zero, we isolate x:
23P=x(6+45π)=x(424+5π)
Solving for x, we get the optimal width:
This is the width that perfectly balances the area of the rectangle and the semi-circle to maximize light transmission.
Phase 4
The Elegant Conclusion
Finally, we need the ratio of the sides of the rectangle, xy. Substituting our optimal x back into the expression for y, we find:
When we calculate the ratio xy, the complex terms involving P and the denominator 24+5π cancel out beautifully, leaving us with:
This result is not just a number; it is the mathematical signature of the perfect window. The ratio of the height to the width of the rectangle must be 6+π:6 to ensure the maximum amount of light floods into the room.
It is a testament to how calculus can turn a complex architectural challenge into a simple, elegant ratio.