A Central Limit Theorem for Intransitive Dice
Intransitive dice D (1) , . . ., D () are dice such that D (1) has advantage when played against D (2) , dice D (2) has advantage when played against D (3) and so on, up to D () , which has advantage over D (1) .This work has two main goals: to present (deterministic) results on the existence of general intransitive dice, and to derive a central limit theorem for the vector of normalized victories of a die against the next one in the list.As assumptions of this CLT, we assume that faces of a die are i.i.d.random variables and all dice are independent, but different dice may have distinct distributions associated with them, as well as they may have distinct numbers of faces.Exploiting this central limit theorem, we derive two major consequences.First, we are able to obtain first order exponential asymptotics for the number of -tuples of intransitive dice, when the number of faces of the dice grows.Second, we obtain a criterion to ensure that the asymptotic probability of observing intransitive dice is null.The criterion applies to many concrete situations, including all continuous distributions and many discrete ones.
Authors
- Daniel Ungaretti (ORCID: https://orcid.org/0000-0002-5720-9791)
- Tertuliano Franco (ORCID: https://orcid.org/0000-0002-1549-2875)
- Guilherme L. F. Silva (ORCID: https://orcid.org/0000-0002-7649-2326)
- Lael Viana Lima
- João V. A. Pimenta
- Luis G. Coelho
- João P. C. de Paula
Publication Details
- Journal
- Latin American Journal of Probability and Mathematical Statistics
- Published
- 2025-01-01
- DOI
- https://doi.org/10.30757/alea.v22-46
- Primary Topic
- Advanced Differential Equations and Dynamical Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Indiana Corn Marketing Council
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Universidade de São Paulo
- Fundação de Amparo à Pesquisa do Estado da Bahia
- Centro de Ciências Matemáticas Aplicadas à Indústria
- Division of Mathematical Sciences