An Elementary Proof of the Cayley Formula Using Random Maps
Steven Hao, Andrew He, Ray Li, Scott Wu

TL;DR
This paper offers a simple, elementary bijective proof of Cayley's formula for counting labeled trees, using probability calculations on random maps to avoid complex structures.
Contribution
It introduces a novel, elementary bijective proof of Cayley's formula based on probability analysis of cycles in random maps.
Findings
Derived the probability of cycles in random maps from n to n+1 elements
Provided an elementary proof of Cayley's formula without complex structures
Confirmed the formula through probabilistic reasoning
Abstract
Cayley's formula states that the number of labelled trees on vertices is , and many of the current proofs involve complex structures or rigorous computation. We present a bijective proof of the formula by providing an elementary calculation of the probability that a cycle occurs in a random map from an -element set to an -element set.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematics and Applications · Data Management and Algorithms · DNA and Biological Computing
