Let $W_t$ be a Brownian motion under probability measure $\mathbb{P}$. Let $X_t$ be defined as follows.
$$\mathrm{d}X_t = a \mathrm{d}t + 2\sqrt{ X_t} \mathrm{d}W_t.$$
Also define: $$L_t = \exp\left(-\frac{k}{2}\int_0^t \sqrt{X_s}\mathrm{d}W_s-\frac{k^2}{8}\int_0^t X_s\mathrm{d}W_s\right).$$
If $L_t=\frac{\mathrm{d}\mathbb{Q}}{\mathrm{d}\mathbb{P}}$ is used to change measure from $\mathbb{P}$ to $\mathbb{Q}$, what is the dynamic of process $X_t$ under the new probability measure $\mathbb{Q}$?
In this question, the form of $L_t$ is different from what is used in the Girsanov theorem (i.e., the Doleans-Dade exponential). How do we use the theorem to change the measure in this case?