Begoña Fernández (Author)
In 1923, Wiener proved that the sample paths of Brownian Motion are almost surely nowhere differentiable and then, have infinite variation. This led to an interest in the study of continuous time stochastic processes. Initially, there were two main approaches: one based on Kolmogorov’s work on Markov processes, and another based on Levy’s approach to Brownian Motion. In the 1940’s, Kiyosi Ito began to investigate continuous time stochastic processes with independent increments. He found the way to define a Lebesgue-Stieltjes type integral, with respect to the Brownian Motion, and developed the now called Ito’s formula, thereby unifying both approaches and giving rise to the Theory of Stochastic Differential Equations. In this paper, we present the two different points of views, an integral with respect to the Brownian Motion developed previously by Wiener, and the construction of Ito’s Integral.
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