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      Inside the Muchnik Degrees I: Discontinuity, Learnability, and Constructivism

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          Abstract

          Every computable function has to be continuous. To develop computability theory of discontinuous functions, we study low levels of the arithmetical hierarchy of nonuniformly computable functions on Baire space. First, we classify nonuniformly computable functions on Baire space from the viewpoint of learning theory and piecewise computability. For instance, we show that mind-change-bounded-learnability is equivalent to finite (Π01)2-piecewise computability (where (Π01)2 denotes the difference of two Π01 sets), error-bounded-learnability is equivalent to finite Δ02-piecewise computability, and learnability is equivalent to countable Π01-piecewise computability (equivalently, countable Σ02-piecewise computability). Second, we introduce disjunction-like operations such as the coproduct based on BHK-like interpretations, and then, we see that these operations induce Galois connections between the Medvedev degree structure and associated Medvedev/Muchnik-like degree structures. Finally, we interpret these results in the context of the Weihrauch degrees and Wadge-like games.

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          Toward a mathematical theory of inductive inference

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            Effective Borel measurability and reducibility of functions

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              Effective Choice and Boundedness Principles in Computable Analysis

              In this paper we study a new approach to classify mathematical theorems according to their computational content. Basically, we are asking the question which theorems can be continuously or computably transferred into each other? For this purpose theorems are considered via their realizers which are operations with certain input and output data. The technical tool to express continuous or computable relations between such operations is Weihrauch reducibility and the partially ordered degree structure induced by it. We have identified certain choice principles which are cornerstones among Weihrauch degrees and it turns out that certain core theorems in analysis can be classified naturally in this structure. In particular, we study theorems such as the Intermediate Value Theorem, the Baire Category Theorem, the Banach Inverse Mapping Theorem and others. We also explore how existing classifications of the Hahn-Banach Theorem and Weak K"onig's Lemma fit into this picture. We compare the results of our classification with existing classifications in constructive and reverse mathematics and we claim that in a certain sense our classification is finer and sheds some new light on the computational content of the respective theorems. We develop a number of separation techniques based on a new parallelization principle, on certain invariance properties of Weihrauch reducibility, on the Low Basis Theorem of Jockusch and Soare and based on the Baire Category Theorem. Finally, we present a number of metatheorems that allow to derive upper bounds for the classification of the Weihrauch degree of many theorems and we discuss the Brouwer Fixed Point Theorem as an example.
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                Author and article information

                Journal
                02 October 2012
                2013-09-08
                Article
                1210.0697
                2f1d5e28-4e09-40f3-bd9d-656492b59c40

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Custom metadata
                (2010): 03D30 (Primary) 03D78, 03F60, 03E15, 03B55, 68Q32 (Secondary)
                math.LO cs.LO

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