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Um modelo probabilístico para o problema da irreversibilidade dos gases.

Authors: Gomes, Joseane Gregório;

Um modelo probabilístico para o problema da irreversibilidade dos gases.

Abstract

Neste trabalho apresentamos uma introdução aos processos estocásticos de Markov dis­cretos e suas propriedades, e como uma aplicação, estudamos um modelo probabilístico para o problema da irreversibilidade dos gases, ou modelo da urna de Ehrenfest. Por fim, apresentamos uma modificação deste modelo, cuja abordagem é adaptada para o Ensino Médio.

ln this work we present an introducion to discrete Markov stochastic processes and their properties, and as an application, we study a probabilistic model for the problem of irre­versibility of gases, or model of Ehrenfest um. Finally, we present a modification of this model, whose approach is adapted for High School.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Pós-graduação em Matemática em Rede Nacional - IBILCE

CAPES: 1115211/001

Country
Brazil
Keywords

Processo estocástico, Probabilidade, Irreversibilidade dos gases, Stochastic processes, Transition matrices, Markov chain, Cadeia de Markov, Matrizes de transição, Irreversibility of gases, Probability

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green