A sequence of binomial random variables, both classical and algebraic, is modelized in terms of the creation–annihilation operators in a natural way and each of these random variables is a sum of four terms. By taking a proper interacting Fock structure, these random variables verify a certain pre–given (classical, Boolean, free, monotone, anti–monotone, etc) independence and the sum of finite independent binomial random variables formulates the corresponding Bernoulli sequence. With the help of such a structure, the Poisson type central limit theorem is quantized by considering individually the contribution of those four terms to the limit. Moreover, its off–diagonal part gives a quantization of the Laplace–de Moivre type central limit theorem.

Quantization of the Poisson Type Central Limit Theorem (1)

Yungang Lu
2022-01-01

Abstract

A sequence of binomial random variables, both classical and algebraic, is modelized in terms of the creation–annihilation operators in a natural way and each of these random variables is a sum of four terms. By taking a proper interacting Fock structure, these random variables verify a certain pre–given (classical, Boolean, free, monotone, anti–monotone, etc) independence and the sum of finite independent binomial random variables formulates the corresponding Bernoulli sequence. With the help of such a structure, the Poisson type central limit theorem is quantized by considering individually the contribution of those four terms to the limit. Moreover, its off–diagonal part gives a quantization of the Laplace–de Moivre type central limit theorem.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/490021
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact