I recently learned how to prove that showing $(x_n)$ is converges to $L$, it is sufficient to show that it's subsequence of even and odd terms converge to $L$
But I wonder, can we do better and generalise a bit? I'm going to write down some of my thoughts, I might lack some rigour so please excuse me.
Let $(x_n)_{n \in \mathbb{N}}$ be a real sequence. Let $T_1, T_2,\ldots, T_k \subseteq \mathbb{N}$ be infinite subsets of $\mathbb{N}$ such that $\bigcup_{i=1}^k T_i = \mathbb{N}$ then, can I claim something like:
If $(a_n)_{n \in T_i}$ converges to $L$ for each $i$ then $\lim\limits_{n \to ∞} a_n =L$
My intuition tells me this should be true although I'm not sure how I would begin to prove such a thing. If it's not true, then... well why?
Proof 1:
If $(a_n)_{n \in T_i} \to L, \forall \, i \, (1≤i≤k)$ then $$\forall \, \epsilon >0, \exists \, N_i \in \mathbb{N}, N_i \in T_i : \forall \, n ≥N_i, n \in T_i \Rightarrow |a_n-L| < \epsilon $$ Let $N = \max\limits_{1≤i≤k} N_i$ then $$\forall \, n ≥N, n \in T_i \Rightarrow |a_n-L| < \epsilon, \forall \, i \, (1≤i≤k)$$ i.e. $ \forall \ n \, (n \in T_1$ or $n \in T_2$ or $\ldots$ or $n \in T_k, n ≥N) \Rightarrow |a_n-L| < \epsilon$ and thus, $$\forall \, n ≥N, n \in \bigcup_{i=1}^n T_i \Rightarrow |a_n-L| < \epsilon $$ or $$\forall \, n ≥N, n \in \mathbb{N} \Rightarrow |a_n-L| < \epsilon$$ Hence, the proof is complete. Is this correct?
Proof 2: This proof will be rewriting proof 1 but with alternative notation which is the subsequence notation.
Let $T_i = \{t_n^i \in \mathbb{N}: n \in \mathbb{N} \}\subseteq \mathbb{N}$, note that $t_n^i$ denotes the $n$th position in the sequence of $T_i$ i.e. $(a_n)_{n \in T_i} = (a_{t_{n}^i} )_{n \in \mathbb{N}}$ as $(t_n^i)$ is a strictly increasing sequence in $T_i$.
Such a sequence $(t_n^i)$ exists in $T_i$ because $T_i$ is an infinite subset of $\mathbb{N}$ with the usual ordering of $\mathbb{N}$ so I can construct a strictly monotone sequence in $T_i$ like: $t_1^i <t_2^i <t_3^i< \ldots<t_n^i<\ldots $ . I'm not sure how to write this part more rigourously.
The rest of the proof would be similar to 1 by simply choosing a maximum $N_i$.