I'm struggling to understand why the notion of "belief revision" is an important concept. In particular, why does the belief over information sets with probability zero matter?
When comparing to the notion of "weak sequential equilibriums" (i.e. an assessment that satisfies sequential rationality and Bayesian updating at reached information sets), since both equilibria satisfy sequential rationality, does this mean that for any profile $\sigma_W$ of a weak sequential equilibrium, there exists a profile $\sigma_P$ belonging to a perfect Bayesian equilibrium such that $\sigma_W$ and $\sigma_P$ agree on information sets with positive probability?
Finally, suppose that all information sets have non-zero probability. In this case, is every weak sequential equilibrium also a perfect Bayesian equilibrium?