向量空间的Ramsey理论参数化 I:离散空间
Parametrizing the Ramsey theory of vector spaces I: Discrete spaces
AI总结:
研究无限维离散向量空间中块序列的Ramsey理论,通过完美集参数化,并探讨可定义的分区和线性变换的二元分化,以及Sacksforcing下选择性超滤子的保持性。
摘要:
我们展示无限维离散向量空间中块序列的Ramsey理论可以由完美集参数化。作为特殊情况,我们证明了可定义的分区和线性变换家族的组合二元分化。我们还考虑了在此背景下选择性超滤子的类似物在Sacksforcing下保持的程度。
英文摘要:
We show that the Ramsey theory of block sequences in infinite-dimensional discrete vector spaces can be parametrized by perfect sets. As special cases, we prove combinatorial dichotomies for definable families of partitions and linear transformations on those spaces. We also consider the extent to which analogues of selective ultrafilters in this setting are preserved by Sacks forcing.
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