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arXiv 2602.18302math.NTmath.AGmath.DS
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动力GCD问题及动力Mordell-兰猜想的一个变种

Dynamical GCD Problems and a Variant of the Dynamical Mordell-Lang Conjecture

Peking University(北京大学);University of Waterloo(滑铁卢大学)

She Yang, Xiao Zhong

AI总结:

本文研究了动力学GCD问题,提出了自同构情况下的新方法,并证明了与高维动力学Mordell-兰猜想相关的结果。

摘要:

在\cite{NZ25}中,作者解决了有理函数的有限性结果,这些结果是对多项式迭代的GCD有限性结果的推广,这些结果可以看作是Bugeaud、Corvaja和Zannier研究的两个整数序列GCD上界问题的动力学推广。最精细的情况出现在映射为自同构时,其中\cite{NZ25}和\cite{HT17}的方法严重依赖于数论逼近和渐进行为分析。在本文中,我们发展了一种替代方法来处理自同构情况。这种方法更强大,使我们能够回答\cite{HT17}中提出的问题。特别是,我们加强了\cite{HT17}的主要定理,并在自同构设置中提供了\cite{NZ25}主要定理的另一种证明。此外,我们将这个动力学GCD问题与Junyi Xie提出的高维动力学Mordell-兰猜想的一个特殊情况相关联。我们证明了当动力学来自代数群作用时,这个推广的猜想成立。此外,我们解决了与动力学GCD问题相关的特殊情况,当所涉及的映射是多项式时。

英文摘要:

In \cite{NZ25}, the authors resolved the rational function analogue of the finiteness results for greatest common divisors of iterates of polynomials established in \cite{HT17}. These results may be viewed as dynamical generalizations of a classical problem concerning upper bounds for the greatest common divisors (GCDs) of two integer sequences studied by Bugeaud, Corvaja, and Zannier. The most delicate case arises when the maps involved are automorphisms, where the methods of \cite{NZ25} and \cite{HT17} rely heavily on Diophantine approximation and asymptotic analysis. In the present paper, we develop an alternative approach to the automorphism case. This method is more powerful, allowing us to give complete answers to the further questions posed in \cite{HT17}. In particular, we strengthen the main theorem of \cite{HT17} and provide an alternative proof of the main theorem of \cite{NZ25} in the automorphism setting. Moreover, we relate this dynamical GCD problem to a special case of a higher-dimensional generalization of the Dynamical Mordell--Lang Conjecture proposed by Junyi Xie. We establish this generalized conjecture when the dynamics arise from algebraic group actions. In addition, we resolve the corresponding special case associated with dynamical GCD questions when the maps involved are polynomials.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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