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Answers for “如何从随机微分方程和伊藤引理中获得 f 的偏微分方程?”

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By substituting the ansatz S=f(W,t)S=f(W,t) into the SDE and applying Itô's lemma, the coefficients of dWdW and dtdt are matched. This yields the system of PDEs: fW=σff_W = \sigma f and ft+12fWW=μff_t + \frac{1}{2} f_{WW} = \mu f.

Conditions: S=f(W,t)S = f(W,t) is the assumed solution form.; dS=μS dt+σS dWdS = \mu S\,dt + \sigma S\,dW is the defining SDE.; Itô's lemma is applied to f(W,t)f(W,t).

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Itô's lemma expresses the differential of a function f(W,t)f(W,t) as df(W,t)=[ft+12fWW]dt+fWdWdf(W,t) = \left[f_t + \frac{1}{2} f_{WW}\right] dt + f_W dW. This formula includes a second-order partial derivative term with respect to WW multiplied by dtdt, which arises from the non-zero quadratic variation of Brownian motion.

Conditions: ff is a sufficiently smooth function of WW and tt.; WW is a standard Brownian motion.