Hindman定理的回归版本
Regressive versions of Hindman's Theorem
AI总结:
本文提出相对于最小齐次性的λ-回归Hindman定理,并在反向数学中证明其首个非平凡限制等价于算术概括,且可强可计算归约底ω指数运算的保良序原理。
摘要:
当将Erdős和Rado的典范Ramsey定理应用于回归函数时,可得到Kanamori和McAloon的回归Ramsey定理。Taylor证明了Hindman定理的一个“典范”版本,类似于典范Ramsey定理。我们引入Taylor的典范Hindman定理对回归函数的一个子类——即λ-回归函数——的限制,该限制相对于一个适当版本的最小齐次性而言,并证明了关于该回归Hindman定理及其自然限制的反向数学的若干结果。特别地,我们证明该原理的第一个非平凡限制等价于算术概括。我们还证明,同一原理可强可计算地归约底为ω的指数运算的保良序原理。
英文摘要:
When the Canonical Ramsey's Theorem by Erdős and Rado is applied to regressive functions one obtains the Regressive Ramsey's Theorem by Kanamori and McAloon. Taylor proved a "canonical" version of Hindman's Theorem, analogous to the Canonical Ramsey's Theorem. We introduce the restriction of Taylor's Canonical Hindman's Theorem to a subclass of the regressive functions, the $λ$-regressive functions, relative to an adequate version of min-homogeneity and prove some results about the Reverse Mathematics of this Regressive Hindman's Theorem and of natural restrictions of it. In particular we prove that the first non-trivial restriction of the principle is equivalent to Arithmetical Comprehension. We furthermore prove that this same principle strongly computably reduces the well-ordering-preservation principle for base-$ω$ exponentiation.
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