Counting Insights Vol 1.1 Pigeon-Hole Principle

Counting Insights Vol 1.1 Pigeon-Hole Principle

In Vol 1.0 of -to- Functions, we considered the Devotee-Footwear problem, in which we asked: what is the minimum possible count of devotees present in the temple (exclude the priest)? Now a question arises that why there exists a minimum count (lower-bound) on the number of devotees? Can we prove mathematically the existence of such a lower-bound?

Theorem 1. Let be -to- function, and let be finite. Then, set is finite with size .
Proof: Since is given to be finite, let . Since is -to-.
.
To show upper-bound on size of , assume to be surjective.
at most pre-images in .
But at most elements in .
Thus, .

Note: achieves its maximum size only when is a surjection and every has number of pre-images.

Let us now recall, = set of all footwears lying outside the temple entrance, and = set of all devotees present inside the temple, excluding the priest.
We defined actual mapping that assignes each footwear to a unique devotee in and the map is -to-. Now using Theorem 1, we have .
.
Thus, for a given number of footwears (i.e., ), the number of devotees has a lower-bound , which is the required answer to “Devotee-Footwear” problem. Thus the count of devotees can vary from (minimum) to (maximum).


Contrapositive of Theorem is so effective in rejecting certain claims or proving certain guarantees, that we state it separately:
Theorem 1. (Contrapositive): Let sets and be such that , then there can not exist a -to- map , i.e., such that (at least pre-images exist).

For example, suppose there are 56 devotees inside the temple (excluding the priest) and there are 113 footwears lying at the main entrance. Then clearly, .
at least one devotee came to the temple with 3 pieces of footwears (Strange enough! but true).

Contrapositive of Theorem 1 is generally known as Dirichlet-Drawer Principle or Pigeon-Hole Principle. We have seen Theorem 1 being applicable to Devotee-Footwear example, but the theory developed in Theorem 1 is general enough to be applicable in diverse problems of same kind.
While encountering problems of this kind, identifying sets and correctly is quite often confusing. As a validation test, we can ask elements of which set can have multiple number of pre-images (including no premage, i.e., left unmapped). That set is the set , which can have varying number of pre-images.

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