N^N^N does not satisfy Normann's condition
Matthias Schroeder

TL;DR
This paper proves that the topological space N^N^N does not satisfy Normann's condition, which is significant for understanding the hierarchy of functionals in Computable Analysis.
Contribution
It establishes that N^N^N fails Normann's condition, providing insight into the structure of function spaces relevant to Computable Analysis.
Findings
N^N^N does not satisfy Normann's condition
Implication for the non-coincidence of functional hierarchies
Advances understanding of topological properties in Computable Analysis
Abstract
We prove that the Kleene-Kreisel space N^N^N does not satisfy Normann's condition. A topological space is said to fulfil Normann's condition, if every functionally closed subset of is an intersection of clopen sets. The investigation of this property is motivated by its strong relationship to a problem in Computable Analysis. D. Normann has proved that in order to establish non-coincidence of the extensional hierarchy and the intensional hierarchy of functionals over the reals it is enough to show that N^N^N fails the above condition.
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Taxonomy
TopicsComputability, Logic, AI Algorithms · Advanced Topology and Set Theory · Topological and Geometric Data Analysis
