Suppose $\lim_{n \to \infty}a_n=a$. Prove that $$\lim_{n\to \infty} \frac{1}{2^n} \sum_{k=0}^n \binom{n}{k}a_k=a\,.$$
Here is a proof,
Proof: Consider $t_{n,k}=\frac{1}{2^n}\binom{n}{k}$,$0 \leq t_{n,k}= \frac{n(n-1)...(n-k+1)}{2^nk(k-1)...1}\leq\frac{n^k}{2^n} $ and by squeeze theorem, $\lim_{n \to \infty}t_{n,k}=0$. Also, $\sum_{k=0}^n \frac{1}{2^n}\binom{n}{k}=1$, so then by Silverman–Toeplitz theorem, we have $\lim_{n\to \infty} \frac{1}{2^n} \sum_{k=0}^n \binom{n}{k}a_k=a$.
Is this proof correct? Is there other cool proofs?
Say $|a_n| \le C$ for each $n$. For $\epsilon > 0$, take $N$ s.t. $|a_n-a| < \epsilon$ for $n \ge N$. Then for $M \ge N^2$, $$\frac{1}{2^M}\sum_{k=0}^M {M \choose k}|a_k-a| \le \frac{1}{2^M}\sum_{k=0}^\sqrt{M} {M \choose k}2C+\frac{1}{2^M}\sum_{k=\sqrt{M}}^M {M \choose k}\epsilon.$$ So, $\limsup_{M \to \infty} |\frac{1}{2^M}\sum_{k=0}^M {M \choose k} a_k - a| \le \epsilon$. This holds for each $\epsilon > 0$.