A sufficient condition for local limit theorem
Kaoru Yoneda, Tsuyoshi Yoneda

TL;DR
This paper provides a new sufficient condition for the local limit theorem using multiple convolutions of probability density functions, advancing theoretical understanding in probability theory.
Contribution
It introduces a novel sufficient condition for the local limit theorem based on infinite convolutions of density functions.
Findings
Established a new criterion for the local limit theorem
Utilized infinite convolutions of densities in the proof
Contributed to the theoretical foundation of probability limit theorems
Abstract
We give a sufficient condition for the local limit theorem. To construct it, we employ infinite times of convolutions of probability density functions.
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Taxonomy
TopicsMathematical Dynamics and Fractals · Stochastic processes and statistical mechanics
