A Gambler that Bets Forever and the Strong Law of Large Numbers
Calvin Wooyoung Chin

TL;DR
This paper presents a simple proof that a gambler with a positive expected value will not go broke with positive probability, and uses this to give an elementary proof of the strong law of large numbers, connecting probability theory and ergodic theorems.
Contribution
It introduces an elementary proof linking gambler's ruin probabilities with the strong law of large numbers, using ideas from ergodic theory.
Findings
Gambler with positive expected value does not go broke with positive probability
Elementary proof of the strong law of large numbers
Connection between gambler's ruin and ergodic theorems
Abstract
In this expository note, we give a simple proof that a gambler repeating a game with positive expected value never goes broke with a positive probability. This does not immediately follow from the strong law of large numbers or other basic facts on random walks. Using this result, we provide an elementary proof of the strong law of large numbers. The ideas of the proofs come from the maximal ergodic theorem and Birkhoff's ergodic theorem.
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
TopicsProbability and Statistical Research · Artificial Intelligence in Games
