Diagonals and -maximal sets

1994 ◽  
Vol 59 (1) ◽  
pp. 60-72 ◽  
Author(s):  
Eberhard Herrmann ◽  
Martin Kummer
Keyword(s):  
Important Class ◽  
Computable Numbering ◽  
Halting Problem ◽  
Recursive Functions ◽  
Elementary Lattice ◽  
Partial Recursive Functions ◽  
Definition Of ◽  
Simple Sets

In analogy to the definition of the halting problem K, an r.e. set A is called a diagonal iff there is a computable numbering ψ of the class of all partial recursive functions such that A = {i ∈ ω: ψi(i)↓} (in that case we say that A is the diagonal of ψ). This notion has been introduced in [10]. It captures all r.e. sets that can be constructed by diagonalization.It was shown that any nonrecursive r.e. T-degree contains a diagonal, that for any diagonal A there is an r.e. nonrecursive nondiagonal B ≤TA, and that there are r.e. degrees a such that any r.e. set from a is a diagonal.In §2 of the present paper we show that the property “A is a diagonal” is elementary lattice theoretic (e.l.t.). This result complements and generalizes previous results of Harrington and Lachlan, respectively. Harrington (see [16, XV. 1]) proved that the property of being the diagonal of some Gödelnumbering (i.e., of being creative) is e.l.t., and Lachlan [12] proved that the property of being a simple diagonal (i.e., of being simple and not hh-simple [10]) is e.l.t.In §§3 and 4 we study the position of diagonals and nondiagonals inside the lattice of r.e. sets. We concentrate on an important class of nondiagonals, generalizing the maximal and hemimaximal sets: the -maximal sets. Using the results from [6] we are able to classify the -maximal sets that can be obtained as halfs of splittings of hh-simple sets.

Diagonals and semihyperhypersimple sets

1991 ◽  
Vol 56 (3) ◽  
pp. 1068-1074 ◽  
Author(s):  
Martin Kummer
Keyword(s):  
Recursion Theory ◽  
Index Set ◽  
Computable Numbering ◽  
Recursive Functions ◽  
Simple Set ◽  
Elementary Lattice ◽  
Computable Numberings ◽  
Partial Recursive Functions

The most basic construction of an r.e. nonrecursive set—e.g. of the halting problem—proceeds by taking the diagonal of a recursive enumeration of all r.e. sets. We will answer the question of which r.e. sets can be constructed in this manner.If ψ is a computable numbering of some class of partial recursive functions, we define the diagonal of ψ to be the set Kψ ≔ {i ∈ ω ∣ ψi(i)↓}- It is well known that Kφ is creative if φ is a Gödelnumbering, and that for each creative set K there exists a Gödelnumbering φ such that K = Kφ. That is to say, the class of diagonals of Gödelnumberings is characterized as the class of creative sets. This class was shown to be elementary lattice theoretic (e.l.t.) by Harrington (see [So87, XV. 1.1]).We give a characterization of diagonals of arbitrary computable numberings of the class P1 of all partial recursive functions. To this end we introduce the notion of a semihyperhypersimple (shhs) set, which generalizes the notion of hyperhypersimplicity to nonsimple sets. It is shown that the diagonals of numberings of P1 are exactly the non-shhs sets. Then, properties of shhs sets are discussed. For example, for each nonrecursive r.e. set A there exists a nonrecursive shhs set B ≤TA, but not every r.e. T-degree contains a shhs set. These results build upon previous work by Downey and Stob [DSta].The question whether the property “shhs” is (elementary) lattice theoretic remains open. A positive answer would give both an analog of Harrington's result mentioned above, and a generalization of the well-known fact, due to Lachlan [La68], that hyperhypersimplicity is e.l.t. Therefore, we suspect that shhs sets turn out to be useful in the study of the lattice of r.e. sets.Previously, for several constructions from recursion theory the role of the underlying numbering of P1 was investigated; see Martin ([Ma66a] or [So87, V.4.1]) and Lachlan ([La75] or [Od89, III.9.2]) for Post's simple set, and Jockusch and Soare ([JS73]; cf. also [So87, XII.3.6, 3.7]) for Post's hypersimple set. However, only Gödelnumberings were considered. An explanation for the greater variety which arises when arbitrary numberings of P1 are admitted is provided by the fact that the index set of Gödelnumberings is less complex than the index set of all numberings of P1. The former is Σ1-complete; the latter is Π4-complete.

The cylindric algebras of three-valued logic

1998 ◽  
Vol 63 (4) ◽  
pp. 1201-1217
Author(s):  
Norman Feldman
Keyword(s):  
Effective Procedure ◽  
Cylindric Algebras ◽  
Truth Values ◽  
Recursive Functions ◽  
Partial Recursive Functions ◽  
Truth Value ◽  
The One ◽  
Definition Of

In this paper we consider the three-valued logic used by Kleene [6] in the theory of partial recursive functions. This logic has three truth values: true (T), false (F), and undefined (U). One interpretation of U is as follows: Suppose we have two partially recursive predicates P(x) and Q(x) and we want to know the truth value of P(x) ∧ Q(x) for a particular x0. If x0 is in the domain of definition of both P and Q, then P(x0) ∧ Q(x0) is true if both P(x0) and Q(x0) are true, and false otherwise. But what if x0 is not in the domain of definition of P, but is in the domain of definition of Q? There are several choices, but the one chosen by Kleene is that if Q(X0) is false, then P(x0) ∧ Q(x0) is also false and if Q(X0) is true, then P(x0) ∧ Q(X0) is undefined.What arises is the question about knowledge of whether or not x0 is in the domain of definition of P. Is there an effective procedure to determine this? If not, then we can interpret U as being unknown. If there is an effective procedure, then our decision for the truth value for P(x) ∧ Q(x) is based on the knowledge that is not in the domain of definition of P. In this case, U can be interpreted as undefined. In either case, we base our truth value of P(x) ∧ Q(x) on the truth value of Q(X0).

Definability via enumerations

1989 ◽  
Vol 54 (2) ◽  
pp. 428-440 ◽  
Author(s):  
Ivan N. Soskov
Keyword(s):  
The Other ◽  
Partial Structure ◽  
Recursive Functions ◽  
Other Hand ◽  
Partial Recursive Functions ◽  
Priority Method ◽  
Basic Functions ◽  
Definition Of ◽  
Definable Functions ◽  
Finite Domains

The notion of ∀-recursiviness, introduced by Lacombe [1], is intended to describe the effectively definable functions and predicates in abstract structures with equality and denumerable domains. The fact that on every such structure ∀-recursiviness and search computability are equivalent is proved by Moschovakis in [2].The definition of search computability [3] does not require the presence of the equality among the basic predicates of the structure. There exist abstract structures where the equality is not search-computable and even not semicomputable. On the other hand, in some structures the equality is not an “effective” predicate. Consider, for example, a structure whose domain consists of all partial recursive functions.A notion of relative computability in abstract structures with denumerable domains, which we shall call here ∀-admissibility, was introduced by D. Skordev in 1977. The notion of ∀-admissibility is a generalization of Lacombe's ∀-recursiviness and does not require the presence of the equality among the basic predicates. In 1977 Skordev conjectured that, in every partial structure with denumerable domain, ∀-admissibility and search computability are equivalent.Since 1977 some attempts have been made to establish Skordev's conjecture. It is proved in [4] for structures with total basic functions and without basic predicates, and in [5] for structures with finite domains. The proofs in [4] and [5] make use of the priority method and are very complicated.

Preliminaries

2017 ◽  
Author(s):  
David J. Lobina
Keyword(s):  
Data Structures ◽  
Production Systems ◽  
Specific Data ◽  
Recursive Functions ◽  
Recursive Solution ◽  
Partial Recursive Functions ◽  
Recursive Structures ◽  
Recursive Data Structures ◽  
Recursive Data ◽  
The Relationship

Recursion, or the capacity of ‘self-reference’, has played a central role within mathematical approaches to understanding the nature of computation, from the general recursive functions of Alonzo Church to the partial recursive functions of Stephen C. Kleene and the production systems of Emil Post. Recursion has also played a significant role in the analysis and running of certain computational processes within computer science (viz., those with self-calls and deferred operations). Yet the relationship between the mathematical and computer versions of recursion is subtle and intricate. A recursively specified algorithm, for example, may well proceed iteratively if time and space constraints permit; but the nature of specific data structures—viz., recursive data structures—will also return a recursive solution as the most optimal process. In other words, the correspondence between recursive structures and recursive processes is not automatic; it needs to be demonstrated on a case-by-case basis.

Psychological Scaling of Data Obtained on Questionnaires about Career Choices at A Teacher's College

1974 ◽  
Vol 1 (2) ◽  
pp. 58-67
Author(s):  
Desmond Broomes
Keyword(s):  
Career Choices ◽  
Important Class ◽  
Definition Of

Measurement problems pervade most data obtained on questionnaires. One important class of problems seems to reside in the nature of measurement, and may be identified through a study of a definition of measure­ment.

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