I am having issues with this practice problem. If someone could help me solve it that would be greatly appreciated!
Let $S(t)$ be the stock price that satisfies the BSM model in SDE form $$dS(t) = \mu S(t) dt + \sigma S(t) dW_t$$ where $\mu > 0$ and $\sigma > 0$ are two constants. Use Ito's Lemma to compute $d \log S(t)$ and use this result to find the closed form solution of $S(t)$.
As the title of the question says, it's just a straightforward application of Ito's lemma: Since $S$ satisfies the given SDE, $(\log)'(x)=x^{-1}$, and $(\log)''(x)=-x^{-2}$, we have $$ \begin{split} d(\log (S_t))&= \frac{1}{S(t)}dS_t-\frac{1}{2}\frac{1}{S_t^2}\sigma^2S_t^2dt\\ &= \mu dt+\sigma dW_t-\frac{\sigma^2}{2}dt\\ &=(\mu-\frac{\sigma^2}{2})dt+\sigma dW_t \end{split} $$ And this is just the SDE of the Brownian with drift.