2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/77429Fractional Brownian motion belongs to a class of long memory Gaussian processes that can be represented as linear functionals of an infinite dimensional Markov process. This representation leads naturally to: - An efficient algorithm to approximate the process. - An infinite dimensional ergodic theorem which applies to functionals of the type $integral_0^t phi(V_h(s)) ds $ where $V_h(s)=integral_0^t h(t-u) dB_u$ and $B$ is a standard Brownian motion.9 pagesProbability60FXX;60J25;60G15;65U05Fractional Brownian motion and the Markov Propertytext