Let $S$ be a countable set and $(X_n)$ an $S$-valued discrete Markov chain. Then $$ \mathbb P [X_{n+1} = x_{n+1} |X_n = x_n, \ldots, X_0=x_0] = \mathbb P [X_{n+1} = x_{n+1} |X_n = x_n] $$ for all $x_0, \ldots, x_{n+1} \in S$. This is called the Markov property. Previously, I proved that
Theorem 1 $$ \mathbb P [X_{n+1} = x_{n+1} |X_n = x_n, \ldots, X_m=x_m] = \mathbb P [X_{n+1} = x_{n+1} |X_n = x_n] $$ for all $m \le n$ and $x_0, \ldots, x_{n+1} \in S$.
Could you provide some hints on how to prove below result?
Theorem 2 $$ \mathbb P [X_{n} = x_{n} |X_m = x_m, \ldots, X_0=x_0] = \mathbb P [X_{n} = x_{n} |X_m = x_m] $$ for all $m \le n$ and $x_0, \ldots, x_{n} \in S$.