I am a beginner of SDE, and I am working on an exercise, the problem ask us to find the $d Y_{t}$ for different $Y_t$. The setting of problem is:
Suppose $B_{t}$ is a standard Brownian motion and $X_{t}$ satisfies $$ d X_{t}=X_{t}^{2} d t+X_{t} d B_{t} $$ Find $d Y_{t}$ for different $Y_t$
- $Y_{t}=B_{t}^{2}$
- $Y_{t}=X_{t}^{3}$
- $Y_{t}=\exp \left\{\int_{0}^{t}\left(X_{s}^{2}+1\right) d s\right\}$
I know how to use Ito's formula to find first and second answer, but don't how to proceed the third one, can anyone help or give some suggestion.
It sounds like the main difficulty is finding the differential of $\int_0^t (X_s^2+1)ds$, and for that I would give the hint: For a deterministic function $f$, what is $\frac{d}{dt} \int_0^t f(s)ds$? Did you need the chain rule for that, or even to know what $\frac{df}{dt}$ is?