Derivative with respect to the initial datum of a stochastic process

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Suppose I have a stochastic differential equation of the form $$dX_t=b(t,X_t)dt + \sigma(t,X_t)dW_t \quad X_0=x_0 \in \mathbb R^n.$$ My professor said that in some cases one wants to compute the derivative of $X_t$ with respect to the initial datum $\frac{\partial X_t}{ \partial x_0 }.$

Where can I find a reference for this?

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Kunita's lectures cover this eg. Lectures on Stochastic Flows And Applications, i.e. depending on the regularity of the coefficients we have analogous differentiability in initial conditions

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Another source is in Varadhan's notes too Stochastic1

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The proof goes through creating new systems satisfied by the derivative processes and then showing existence-uniqueness for the entire system.