Why local martingale property is important in Girsanov theorem? In Girsanov theorem, the change of probability measure variable $Z_t = \frac{dQ}{dP}|_{\mathcal{F}_t}$, why does it need to be a martingale with respect to measure $P$ for the change of measure $\frac{dQ}{dP}$ to exist?
I am having trouble understanding this. Anyone familiar with this?
 A: After reading up about Girsanov theorem and martingale theory, I can come up with the following observations. First if we have a filtration $\mathcal{F}_t$ and two probability measures $P$ and $Q$ for which Radon-Nikodym derivative $\frac{dQ}{dP}$ exist, then  for each $\mathcal{F}_t$ there exists a Radon-Nikodym derivative $D_t$ with respect to $\mathcal{F}_t$ and $D_t$ is a uniformly integrable martingale with respect to $\mathcal{F}_t$ and $P$. 
Now if we have measure $P$ and a martingale $Z_t$ with filtration $\mathcal{F}_t$ we can define set function $Q=Z_t\cdot P$ defined on $\cup \mathcal{F}_t$. It will define a unique probability measure $Q$ on $\sigma(\cup \mathcal{F}_t)$ if $Z_t$ has additional properties, $EZ_t\equiv 1$ being one of them.
Going into more details requires reposting some book on this topic, which is not feasible. I read this one. Chapter VIII is a good read for clarifying things up. Naturally other books can be found. 
Note that this is really a comment not an answer, I suggest trying to ask at math.SE, with details what exactly you did not understand, the question in the current format can be answered in many different ways, since there is a lot of things going on.
