$X(t)$ is a time dependent family of smooth vector fields on $M$, and $\psi_t$ is the local flow of $X(t)$, namely for any smooth $f:M\rightarrow R$ $$ X(\psi_t(y),t) f = \frac{\partial(f\circ \psi_t)}{\partial t} (y) $$ Let $$ \hat g(t) =\sigma(t) \psi_t^*(g(t)) $$ How to show $$ \partial_t \hat g = \sigma'(t)\psi_t^* (g) + \sigma(t) \psi_t^*(\partial_t g) + \sigma(t) \psi_t^*(L_Xg) $$ where $L_Xg$ is Lie derivative. I think it is equal to show $$ \partial _t (\psi_t^*(g(t))) = \psi_t^*(\partial_t g) + \psi_t^*(L_Xg) $$ but I don't know how to show it. I feel calculate $\partial_t \psi_t^*$ is the key point. But seemly, it is hard to represent it.
What I know about Lie derivative : $$ L_Xg(p) =\lim_{t\rightarrow 0} \frac{\psi_t^*(g(\psi_t(p))) - g(p)}{t} $$
PS: This problem is from the Proposition 1.2.1 of Topping's Lectures on the Ricci flow. Topping's hint: $$ \psi_t^*(g(t))=\psi_t^*(g(t)-g(s))+\psi_t^*(g(s)) $$ and differentiate at $t=s$.