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Register a new userComparing the isomorphism types of equivalence structures and preorders
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A general theme of computable structure theory is to investigate when structures have copies of a given complexity $Gamma$. We discuss such problem for the case of equivalence structures and preorders. We show that there is a $Pi^0_1$ equivalence structure with no $Sigma^0_1$ copy, and in fact that the isomorphism types realized by the $Pi^0_1$ equivalence structures coincide with those realized by the $Delta^0_2$ equivalence structures. We also construct a $Sigma^0_1$ preorder with no $Pi^0_1$ copy.
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A numbering of a countable family $S$ is a surjective map from the set of natural numbers $omega$ onto $S$. A numbering $ u$ is reducible to a numbering $mu$ if there is an effective procedure which given a $ u$-index of an object from $S$, computes a $mu$-index for the same object. The reducibility between numberings gives rise to a class of upper semilattices, which are usually called Rogers semilattices. The paper studies Rogers semilattices for families $S subset P(omega)$ belonging to various levels of the analytical hierarchy. We prove that for any non-zero natural numbers $m eq n$, any non-trivial Rogers semilattice of a $Pi^1_m$-computable family cannot be isomorphic to a Rogers semilattice of a $Pi^1_n$-computable family. One of the key ingredients of the proof is an application of the result by Downey and Knight on degree spectra of linear orders.
An $omega$-tree-automatic structure is a relational structure whose domain and relations are accepted by Muller or Rabin tree automata. We investigate in this paper the isomorphism problem for $omega$-tree-automatic structures. We prove first that the isomorphism relation for $omega$-tree-automatic boolean algebras (respectively, partial orders, rings, commutative rings, non commutative rings, non commutative groups, nilpotent groups of class n >1) is not determined by the axiomatic system ZFC. Then we prove that the isomorphism problem for $omega$-tree-automatic boolean algebras (respectively, partial orders, rings, commutative rings, non commutative rings, non commutative groups, nilpotent groups of class n >1) is neither a $Sigma_2^1$-set nor a $Pi_2^1$-set.
While most research in Gold-style learning focuses on learning formal languages, we consider the identification of computable structures, specifically equivalence structures. In our core model the learner gets more and more information about which pairs of elements of a structure are related and which are not. The aim of the learner is to find (an effective description of) the isomorphism type of the structure presented in the limit. In accordance with language learning we call this learning criterion InfEx-learning (explanatory learning from informant). Our main contribution is a complete characterization of which families of equivalence structures are InfEx-learnable. This characterization allows us to derive a bound of $mathbf{0}$ on the computational complexity required to learn uniformly enumerable families of equivalence structures. We also investigate variants of InfEx-learning, including learning from text (where the only information provided is which elements are related, and not which elements are not related) and finite learning (where the first actual conjecture of the learner has to be correct). Finally, we show how learning families of structures relates to learning classes of languages by mapping learning tasks for structures to equivalent learning tasks for languages.
We study the algorithmic complexity of embeddings between bi-embeddable equivalence structures. We define the notions of computable bi-embeddable categoricity, (relative) $Delta^0_alpha$ bi-embeddable categoricity, and degrees of bi-embeddable categoricity. These notions mirror the classical notions used to study the complexity of isomorphisms between structures. We show that the notions of $Delta^0_alpha$ bi-embeddable categoricity and relative $Delta^0_alpha$ bi-embeddable categoricity coincide for equivalence structures for $alpha=1,2,3$. We also prove that computable equivalence structures have degree of bi-embeddable categoricity $mathbf{0},mathbf{0}$, or $mathbf{0}$. We obtain results on index sets of computable equivalence structure with respect to bi-embeddability.
This paper investigates type isomorphism in a lambda-calculus with intersection and union types. It is known that in lambda-calculus, the isomorphism between two types is realised by a pair of terms inverse one each other. Notably, invertible terms are linear terms of a particular shape, called finite hereditary permutators. Typing properties of finite hereditary permutators are then studied in a relevant type inference system with intersection and union types for linear terms. In particular, an isomorphism preserving reduction between types is defined. Type reduction is confluent and terminating, and induces a notion of normal form of types. The properties of normal types are a crucial step toward the complete characterisation of type isomorphism. The main results of this paper are, on one hand, the fact that two types with the same normal form are isomorphic, on the other hand, the characterisation of the isomorphism between types in normal form, modulo isomorphism of arrow types.
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