Poincaré recurrence times in stochastic mixing processes

• Ano de defesa: 2022
• Autor(a) principal: Amorim, Vitor Gustavo de
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: eng
• Instituição de defesa: Biblioteca Digitais de Teses e Dissertações da USP
• Palavras-chave em Português: Aproximação exponencial; Espectro do tempo de espera; Exponential approximation; Hitting and return times; Mixing processes; Poço de potencial; Potential well; Processos misturadores; Tempos de entrada e retorno; Waiting time spectrum
• Link de acesso: https://www.teses.usp.br/teses/disponiveis/104/104131/tde-24052022-160500/

In the context of the discrete-time stochastic processes, this thesis presents new results on Poincaré recurrence theory. After a complete review of recent results, we present a new theorem on the exponential approximations for hitting and return times distributions. We show that the scaling parameter of the approximate distribution, called potential well, brings fundamental informations about the structure of the target set. Moreover, we show that the asymptotic properties of the potential well influences several aspects of the recurrence times, such as limiting distributions and moments. Finally, we apply our results to obtain the waiting time spectrum as a function of the Rényi entropy for classes of processes not covered by previous works.