Ito's Lemma is a fundamental result in stochastic calculus that provides a formula for finding the differential of a function of a stochastic process, specifically those driven by Wiener processes. It acts like the chain rule from regular calculus but applies to functions of stochastic variables, enabling the analysis and modeling of systems influenced by randomness. This lemma is essential in various fields, connecting the properties of Wiener processes, financial mathematics, and the Feynman-Kac formula.
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