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arXiv math/0603689math.AG
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挠丛的定量Néron理论

Quantitative Néron theory for torsion bundles

Alessandro Chiodo

摘要:

设R是具有代数闭剩余域的离散赋值环,考虑分式域K上的平滑曲线CK.对任意与剩余特征互素的正整数r,我们考虑CK上r-挠线丛的有限K-群格式Pic_{CK} [r].我们确定了当R上存在有限R-群概型,即Pic_{CK} [r]的模型时,换句话说,我们确定了当Pic_{CK} [r]的Néron模型是有限的。为此,需要分析R上的Néron模型的点,这些点一般不表示CK的半稳定约化上的r-挠线丛。相反,我们重铸的概念模型的堆叠理论的基础上:在那里,我们发现有限Néron模型,这表示r-扭转线丛的堆叠理论的半稳定减少CK。这使我们能够量化经典Néron模型的有限性的缺乏,并最终提供一个有效的标准。

英文摘要:

Let R be a discrete valuation ring with algebraically closed residue field, and consider a smooth curve CK over the field of fractions K. For any positive integer r prime to the residual characteristic, we consider the finite K-group scheme Pic_{CK}[r] of r-torsion line bundles on CK. We determine when there exists a finite R-group scheme, which is a model of Pic_{CK}[r] over R; in other words, we establish when the Néron model of Pic_{CK}[r] is finite. To this effect, one needs to analyse the points of the Néron model over R, which, in general, do not represent r-torsion line bundles on a semistable reduction of CK. Instead, we recast the notion of models on a stack-theoretic base: there, we find finite Néron models, which represent r-torsion line bundles on a stack-theoretic semistable reduction of CK. This allows us to quantify the lack of finiteness of the classical Néron models and finally to provide an efficient criterion for it.

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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