Distinct Patterns Problem

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In summary, there are 22 distinct patterns possible for an octahedron with white or black equilateral triangles on each side. This can be determined by considering topological invariants and discarding patterns that are just rotations of others.
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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.
 

1. What is the Distinct Patterns Problem?

The Distinct Patterns Problem is a mathematical problem that deals with finding the number of unique patterns that can be created using a given set of elements or objects. This problem is commonly encountered in fields such as computer science, statistics, and combinatorics.

2. How is the Distinct Patterns Problem solved?

The Distinct Patterns Problem is solved by using various mathematical techniques such as permutations, combinations, and recursion. The specific method used depends on the given set of elements and the desired outcome. Computer programs can also be written to solve this problem for larger and more complex sets of elements.

3. What are some real-life applications of the Distinct Patterns Problem?

The Distinct Patterns Problem has numerous applications in real life, such as in data analysis, DNA sequencing, and cryptography. It is also used in fields like marketing and product design to study consumer behavior and identify unique patterns in their preferences.

4. Can the Distinct Patterns Problem have multiple solutions?

Yes, the Distinct Patterns Problem can have multiple solutions. The number of distinct patterns depends on the given set of elements and the criteria used to define uniqueness. In some cases, there may be only one solution, while in others, there may be multiple solutions with varying degrees of uniqueness.

5. What is the difference between the Distinct Patterns Problem and the Subsets Problem?

The Distinct Patterns Problem and the Subsets Problem are closely related but have distinct differences. The Distinct Patterns Problem deals with finding unique arrangements of a given set of elements, while the Subsets Problem deals with finding all possible combinations of a given set of elements. In other words, the Distinct Patterns Problem focuses on uniqueness, while the Subsets Problem focuses on completeness.

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