How Many Distinct Color Patterns Can an Octahedron Have?

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The discussion focuses on calculating the number of distinct color patterns for an octahedron with each face painted either white or black. The conclusion reached is that there are 22 distinct patterns, derived through a systematic counting method that considers the arrangement of colors on the octahedron's faces. The approach includes using topological invariants to account for rotational symmetries, ensuring that duplicate patterns are not counted. The final breakdown of patterns includes configurations with varying numbers of white and black faces, leading to the total of 22 distinct arrangements.

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[Moderator note: Member advised to use the provided formatting template for all homework help requests]

If each side of a tetrahedron is an equilateral triangle painted white or black, five distinct patterns are possible: all sides white, all black, just one side white, just one black, and two sides white and two black. If each side of an octahedron is a white or black equilateral triangle, how many distinct patterns are possible?

octahedron-png.png


My own approach to this problem was simply to add a new triangle of one set color and build up until I reached 4 black and 4 white since 5 white or 5 black would imply 3 black and 3 white, respectively, and so on for 6/2. So, there's only one way to make it all white or all black. And there seems to also be only one way to make it 1 black and 7 white and 1 way to make it 7 white and 1 black. Counting all of the way up, I have just over 20 total ways. Does anyone have a different approach to this problem or an equation that could simplify it?
 

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I got twenty-two different patterns, as follows:
  • one with all black
  • one with only one white
  • three with two whites
  • three with three whites
  • six with four whites
We then double all the possibilities except the last, by swapping black for white. That gives ##2\times(1+1+3+3)+6=22##.

My method of counting the number of patterns for each bullet point was to consider topological invariants. I used:
  • number of edges with white on both adjacent faces
  • maximum cluster size, where a cluster is a collection of white faces connected to one another by edges
  • number of vertices touched by two white faces
Using topological invariants allows one to detect and discard patterns that are just rotations of a pattern already counted.
 

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