The functional central limit theorem for strongly mixing processes
We deal with the linear functional equation (E) , where g:(0,∞) → (0,∞) is unknown, is a probability distribution, and ’s are positive numbers. The equation (or some equivalent forms) was considered earlier under different assumptions (cf. [1], [2], [4], [5] and [6]). Using Bernoulli’s Law of Large Numbers we prove that g has to be constant provided it has a limit at one end of the domain and is bounded at the other end.
We derive a quenched invariance principle for random walks in random environments whose transition probabilities are defined in terms of weighted cycles of bounded length. To this end, we adapt the proof for random walks among random conductances by Sidoravicius and Sznitman (Probab. Theory Related Fields129 (2004) 219–244) to the non-reversible setting.
We take the martingale central limit theorem that was established, together with the rate of convergence, by Liptser and Shiryaev, and adapt it to the multiplicative scheme of financial markets with discrete time that converge to the standard Black-Scholes model. The rate of convergence of put and call option prices is shown to be bounded by . To improve the rate of convergence, we suppose that the increments are independent and identically distributed (but without binomial or similar restrictions...
Dans ce travail, nous présentons une nouvelle caractérisation de la norme des espaces de Besov-Orlicz associés à la -fonction exponentielle pour . Nous utilisons cette nouvelle norme et un lemme de Marcus et Pisier [15], pour démontrer un critère de tension et de régularité dans les espaces de Besov-Orlicz pour . Nous étudions ensuite dans les espaces de Besov-Orlicz pour , des théorèmes limites pour les mesures d’occupations du temps local du processus stable symétrique d’indice , ce qui...
Dans ce papier, nous allons étendre le principe classique d’invariance de Donsker [4] dans une classe des espaces de Besov-Orlicz associés à la -fonction exponentielle .