I know there are various established explanations for the problem. But here is my approach:
Just to be specific, the exact problem is as follows:
There are $3$ doors. Behind one of them is a car and behind the other two is nothing. You choose the first door. Now someone tells you that behind the door $3$ there is nothing. What is the probability that the car is behind door $2$, now.
So I define the events as:
$E:$ Car is behind door $2$.
$E1:$ There's nothing behind door $3$
Now I need to find: $P(E|E1)$.
So using the definition of conditional probability: $$P(A|B)=\frac{P(A\cap B)}{P(B)}$$
We get $P(E|E1)=\large\frac{P(E\cap E1)}{P(E1)}$.
Now $E\cap E1$ is the event that Car is behind door $2$ and there's nothing behind door $3$. Now, the set $E=\{(\times,C,\times)\}$ and $E1=\{(C,\times,\times),(\times,C,\times)\}$.
So $E\cap E1=\{(\times,C,\times)\}$. $$P(E\cap E1)=\frac{1}{3}$$
Similarly denominator $= \large\frac{2}{3}$.
But this gives the answer to be $\large\frac{1}{2}$.
I don't think there's any problem with the solution. If so, how does my problem statement differ with that of the Monty Hall Problem?
Your E1 is the event that there's nothing behind door 3. This is not the same as the event that someone tells you that there's nothing behind door 3.