An Abelian theorem with application to the conditional Gibbs principle

Let $X_1,\mathrm{.}\mathrm{.}\mathrm{.},X_n$ be $n$ independent unbounded real random variables which have common, roughly speaking, light-tailed type distribution. Denote by $S_1^n$ their sum and by ${\pi }^{a_n}$ the tilted density of $X_1$, where $a_n \rightarrow\infty$as$n\rightarrow \infty$. An Abelian type theorem is given, which is used to approximate the first three centered moments of the distribution ${\pi }^{a_n}$. Further, we provide the Edgeworth expansion of $n$-convolution of the normalized tilted density under the setting of a triangular array of row-wise independent summands, which is then applied to obtain one local limit theorem conditioned on extreme deviation event $(S_1^n\mathrm{/}n=a_n)$ with $a_n\to \mathrm{\infty }$.