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arXiv 2510.08093math.AGcs.LG
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满射有理映射的计算与机器学习

Computations and ML for surjective rational maps

Laboratory of AGHA, Moscow Institute of Physics(AGHA实验室,莫斯科物理技术研究所)

Ilya Karzhemanov

AI总结:

研究具有三次项且不确定性轨迹非空的满射有理自同态,利用Python编程和机器学习进行分类,构造新的显式映射,并通过射影几何证明一般非正则三次自同态满射的条件。

摘要:

本文研究具有三次项且不确定性轨迹\(I_f\neq\emptyset\)的满射有理自同态\(f:\mathbb{P}^2\dashrightarrow\mathbb{P}^2\)。我们基于一些Python编程和机器学习开发了一种实验方法来对此类映射进行分类,并据此构造了几个新的显式\(f\)。我们还通过纯射影几何证明,\(\mathbb{P}^2\)的一般非正则三次自同态\(f\)是满射当且仅当集合\(I_f\)的基数至少为\(3\)。

英文摘要:

The present note studies \emph{surjective rational endomorphisms} $f: \mathbb{P}^2 \dashrightarrow \mathbb{P}^2$ with \emph{cubic} terms and the indeterminacy locus $I_f \ne \emptyset$. We develop an experimental approach, based on some Python programming and Machine Learning, towards the classification of such maps; a couple of new explicit $f$ is constructed in this way. We also prove (via pure projective geometry) that a general non-regular cubic endomorphism $f$ of $\mathbb{P}^2$ is surjective if and only if the set $I_f$ has cardinality at least $3$.

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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