2026-05-152026-05-152025-07-13FAVACHO JUNIOR, Aldo Silvio Siqueira. Números normais. Orientador: Nildsen Fernando Lisbôa da Silva. 2025. 28 f. Trabalho de Curso (Licenciatura em Matemática) – Faculdade de Matemática, Campus Universitário de Castanhal, Universidade Federal do Pará, Castanhal, 2025. Disponível em: https://bdm.ufpa.br/handle/prefix/9545. Acesso em:.https://bdm.ufpa.br/handle/prefix/9545This work investigates the properties of normal numbers, introduced by Borel (1909), which exhibit uniform digit distribution in their decimal expansions. The study combines √ theoretical and computational analysis to examine digit distribution in irrational (√2, 3), transcendental (π, e) numbers and integer powers (210000000, 73576842), using Python algorithms to process millions of digits. Results show frequencies close to 10% for each digit (base 10), with variations below 0.1%, supporting evidence of normality. Further more, applications in random functions, implemented in Maple, demonstrated qualitative equivalence between digits of normal numbers and pseudo-random sequences. We conclude that, although normality cannot be computationally proven, the results provide empirical support for conjectures about digit distribution in these numbers, with implications for computation theory and randomness generation.Acesso AbertoNúmeros normaisDistribuição de dígitosAnálise computacionalNormal numbersDigit distributionComputational analysisCNPQ::CIENCIAS EXATAS E DA TERRA::MATEMATICATrabalho de Curso - Graduação - Monografia