I've been studying the paper An estimate of the remainder in a combinatorial central limit theorem by Bolthausen, which proves the Berry Essen theorem using Stein's method:
Let $\gamma$ be the absolute third moment of a random variable $X$, and let $X_{i}$ be iid with the same law as $X$. Let $S_{n}=\sum_{i}^{n}X_{i}$, and suppose $E(X)=0$, $E(X^{2})=1$.
The goal is to find some universal constant $C$ such that $|P(S_{n} \leq x) - P(Y\leq x)| \leq C\frac{\gamma}{\sqrt{n}}$.
Let $\delta(n,\gamma) = \sup_{x}|P(S_{n} \leq x) - P(Y\leq x)|$. We would like to bound $\sup_{n}\frac{\sqrt{n}}{\gamma}\delta(n, \gamma)$.
In the proof the following bound is derived:
$\delta(n,\gamma) \leq c\frac{\gamma}{\sqrt{n}}+\frac{1}{2}\delta(n-1,\gamma)$ where $c$ is a universal constant. Noting that $\delta(1,\gamma) \leq 1$, the author claims that the result is implied. However when I try to use induction to get the result the constant $C$ increases without bound $n$ grows. If anyone has studied this paper before, I would love to hear from you.