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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.10916 |
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Table of Contents:
- By the well-known I.Kotlarski lemma, if $ξ_1$, $ξ_2$, and $ξ_3$ are independent real-valued random variables with nonvanishing characteristic functions, $L_1=ξ_1-ξ_3$ and $L_2=ξ_2-ξ_3$, then the distribution of the random vector $(L_1, L_2)$ determines the distributions of the random variables $ξ_j$ up to shift. Siran Li and Xunjie Zheng generalized this result for the linear forms $L_1=ξ_1+a_2ξ_2+a_3ξ_3$ and $L_2=b_2ξ_2+b_3ξ_3+ξ_4$ assuming that all $ξ_j$ have first and second moments, $ξ_2$ and $ξ_3$ are identically distributed, and $a_j$, $b_j$ satisfy some conditions. In the article, we give a simpler proof of this theorem. In doing so, we also prove that the condition of existence of moments can be omitted. Moreover, we prove an analogue of the Li--Zheng theorem for independent random variables with values in the field of $p$-adic numbers, in the field of integers modulo $p$, where $p\ne 2$, and in the discrete field of rational numbers.