2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/65337In this work we introduce correlated random walks on $\Z$. When picking suitably at random the coefficient of correlation, and taking the average over a large number of walks, we obtain a discrete Gaussian process, whose scaling limit is the fractional Brownian motion. We have to use two radically different models for both cases ${1\over2}\leq H<1$ and $0<H<{1\over2}$. This result provides an algorithm for the simulation of the fractional Brownian motion, which appears to be quite efficient.15 pages, 3 figuresProbability60F17, 60G15, 60G17, 60K37A simple construction of the Fractional Brownian motiontext