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Auteurs principaux: Basdevant, Anne-Laure, Hénard, Olivier, Maurel-Segala, Edouard, Singh, Arvind
Format: Preprint
Publié: 2024
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Accès en ligne:https://arxiv.org/abs/2406.20049
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author Basdevant, Anne-Laure
Hénard, Olivier
Maurel-Segala, Edouard
Singh, Arvind
author_facet Basdevant, Anne-Laure
Hénard, Olivier
Maurel-Segala, Edouard
Singh, Arvind
contents A fair coin is flipped $n$ times, and two finite sequences of heads and tails (words) $A$ and $B$ of the same length are given. Each time the word $A$ appears in the sequence of coin flips, Alice gets a point, and each time the word $B$ appears, Bob gets a point. Who is more likely to win? This puzzle is a slight extension of Litt's game that recently set Twitter abuzz. We show that Litt's game is fair for any value of $n$ and any two words that have the same auto-correlation structure by building up a bijection that exchanges Bob and Alice scores; the fact that the inter-correlation does not come into play in this case may come up as a surprise.
format Preprint
id arxiv_https___arxiv_org_abs_2406_20049
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On cases where Litt's game is fair
Basdevant, Anne-Laure
Hénard, Olivier
Maurel-Segala, Edouard
Singh, Arvind
Combinatorics
Probability
A fair coin is flipped $n$ times, and two finite sequences of heads and tails (words) $A$ and $B$ of the same length are given. Each time the word $A$ appears in the sequence of coin flips, Alice gets a point, and each time the word $B$ appears, Bob gets a point. Who is more likely to win? This puzzle is a slight extension of Litt's game that recently set Twitter abuzz. We show that Litt's game is fair for any value of $n$ and any two words that have the same auto-correlation structure by building up a bijection that exchanges Bob and Alice scores; the fact that the inter-correlation does not come into play in this case may come up as a surprise.
title On cases where Litt's game is fair
topic Combinatorics
Probability
url https://arxiv.org/abs/2406.20049