The Geometry of Symmetry
A Hexagonal Journey
Imagine you are standing before a perfect, regular hexagon. It is a shape of profound balance, a staple of nature's most efficient designs. Today, we are not just solving a probability problem; we are exploring the hidden symmetry within this six-sided wonder.
Our task is simple yet elegant: if we randomly choose three vertices from the six available, what is the probability that they form an equilateral triangle? Let us break this down, step by step.
Phase 1
The Total Sample Space
Before we can find the probability, we must understand the scope of our possibilities. We have six distinct vertices, which we can label A1,A2,A3,A4,A5,A6.
We need to select exactly three of these to form a triangle. Because the triangle △A1A3A5 is identical to △A5A1A3, the order of selection does not matter. This is the classic definition of a combination. We use the formula nCr, where n=6 and r=3:
Expanding this, we get 3×2×16×5×4. The 3×2×1 in the denominator is 6, which cancels out the 6 in the numerator.
We are left with 5×4, which equals 20. So, there are exactly 20 possible triangles we can form from these six vertices. This is our total sample space.
Phase 2
The Geometric Insight
Now, we move from the algebraic to the geometric. What makes a triangle equilateral in a regular hexagon? If you visualize the hexagon, you will notice that the internal angle is 120∘.
To create an equilateral triangle, the vertices must be spaced perfectly. If you pick a vertex, you must skip exactly one vertex to reach the next one. This creates a triangle where each side spans two edges of the hexagon, ensuring all sides are equal.
Let us trace this. If we start at A1, we skip A2 and pick A3. Then we skip A4 and pick A5. Connecting A1,A3, and A5 gives us our first equilateral triangle: △A1A3A5.
Now, what if we start at A2? We skip A3 and pick A4. Then we skip A5 and pick A6. Connecting A2,A4, and A6 gives us our second equilateral triangle: △A2A4A6.
Are there any more? If we try to start at A3, we would pick A5 and A1, which is just the first triangle again. We have exhausted all unique possibilities. Thus, the number of favorable outcomes, n(E), is exactly 2.
Phase 3
The Final Calculation
We have reached the home stretch. The probability P(E) of an event is simply the ratio of favorable outcomes to the total sample space:
Substituting our values, we get:
Simplifying this fraction by dividing both the numerator and the denominator by 2, we arrive at our final result:
There we have it! A one in ten chance. It is a wonderful reminder that even in complex problems, the answer often lies in visualizing the underlying geometry. The final probability is 101.