conditional recursion - significado y definición. Qué es conditional recursion
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Qué (quién) es conditional recursion - definición

Alpha recursion; Α-recursion theory

Conditional mood         
GRAMMATICAL MOOD
Conditional tense; Present conditional tense; Simple conditional I; Simple conditional habitual; Simple conditional I progressive; Simple conditional I continuous; Simple conditional I habitual; Conditional I continuous; Conditional I habitual; The conditional; Present conditional; Conditional present; So-called conditional
The conditional mood (abbreviated ) is a grammatical mood used in conditional sentences to express a proposition whose validity is dependent on some condition, possibly counterfactual.
?:         
TERNARY OPERATOR "X ? Y : Z" IN MANY PROGRAMMING LANGUAGES, WHOSE VALUE IS Y IF X EVALUATES TO TRUE AND Z OTHERWISE
? :; Operator?:; Shorthand conditional; Inline if; Ternary conditional operation; Ternary if; Ternary selection operator; Hook operator; Ternary conditional; ?:
In computer programming, is a ternary operator that is part of the syntax for basic conditional expressions in several programming languages. It is commonly referred to as the conditional operator, inline if (iif), or ternary if.
Conditional (computer programming)         
  • A nested ''if–then–else'' flow diagram
PROGRAMMING LANGUAGE CONSTRUCT THAT PERFORMS ACTIONS ACCORDING TO BOOLEAN CONDITIONS
Conditional branching; Elsif; Conditional expression; If-then; If-then-else; If statement; If (programming); If-then statement; If-then (programming); If-then-else (programming); Else (programming); Elseif; If else; If then statement; Selection statement; Conditional (programming); If-else-if ladder; Else if; If:; IF (DOS command); If-else; Conditional structures; If–then–else; If-else loop; If (command); ELSE (DOS command); Hash-based conditionals
In computer science, conditionals (that is, conditional statements, conditional expressions and conditional constructs,) are programming language commands for handling decisions. Specifically, conditionals perform different computations or actions depending on whether a programmer-defined boolean condition evaluates to true or false.

Wikipedia

Alpha recursion theory

In recursion theory, α recursion theory is a generalisation of recursion theory to subsets of admissible ordinals α {\displaystyle \alpha } . An admissible set is closed under Σ 1 ( L α ) {\displaystyle \Sigma _{1}(L_{\alpha })} functions, where L ξ {\displaystyle L_{\xi }} denotes a rank of Godel's constructible hierarchy. α {\displaystyle \alpha } is an admissible ordinal if L α {\displaystyle L_{\alpha }} is a model of Kripke–Platek set theory. In what follows α {\displaystyle \alpha } is considered to be fixed.

The objects of study in α {\displaystyle \alpha } recursion are subsets of α {\displaystyle \alpha } . These sets are said to have some properties:

  • A set A α {\displaystyle A\subseteq \alpha } is said to be α {\displaystyle \alpha } -recursively-enumerable if it is Σ 1 {\displaystyle \Sigma _{1}} definable over L α {\displaystyle L_{\alpha }} , possibly with parameters from L α {\displaystyle L_{\alpha }} in the definition.
  • A is α {\displaystyle \alpha } -recursive if both A and α A {\displaystyle \alpha \setminus A} (its relative complement in α {\displaystyle \alpha } ) are α {\displaystyle \alpha } -recursively-enumerable. It's of note that α {\displaystyle \alpha } -recursive sets are members of L α + 1 {\displaystyle L_{\alpha +1}} by definition of L {\displaystyle L} .
  • Members of L α {\displaystyle L_{\alpha }} are called α {\displaystyle \alpha } -finite and play a similar role to the finite numbers in classical recursion theory.
  • Members of L α + 1 {\displaystyle L_{\alpha +1}} are called α {\displaystyle \alpha } -arithmetic.

There are also some similar definitions for functions mapping α {\displaystyle \alpha } to α {\displaystyle \alpha } :

  • A function mapping α {\displaystyle \alpha } to α {\displaystyle \alpha } is α {\displaystyle \alpha } -recursively-enumerable, or α {\displaystyle \alpha } -partial recursive, iff its graph is Σ 1 {\displaystyle \Sigma _{1}} -definable in ( L α , ) {\displaystyle (L_{\alpha },\in )} .
  • A function mapping α {\displaystyle \alpha } to α {\displaystyle \alpha } is α {\displaystyle \alpha } -recursive iff its graph is Δ 1 {\displaystyle \Delta _{1}} -definable in ( L α , ) {\displaystyle (L_{\alpha },\in )} .
  • Additionally, a function mapping α {\displaystyle \alpha } to α {\displaystyle \alpha } is α {\displaystyle \alpha } -arithmetical iff there exists some n ω {\displaystyle n\in \omega } such that the function's graph is Σ n {\displaystyle \Sigma _{n}} -definable in ( L α , ) {\displaystyle (L_{\alpha },\in )} .

Additional connections between recursion theory and α recursion theory can be drawn, although explicit definitions may not have yet been written to formalize them:

  • The functions Δ 0 {\displaystyle \Delta _{0}} -definable in ( L α , ) {\displaystyle (L_{\alpha },\in )} play a role similar to those of the primitive recursive functions.

We say R is a reduction procedure if it is α {\displaystyle \alpha } recursively enumerable and every member of R is of the form H , J , K {\displaystyle \langle H,J,K\rangle } where H, J, K are all α-finite.

A is said to be α-recursive in B if there exist R 0 , R 1 {\displaystyle R_{0},R_{1}} reduction procedures such that:

K A H : J : [ H , J , K R 0 H B J α / B ] , {\displaystyle K\subseteq A\leftrightarrow \exists H:\exists J:[\langle H,J,K\rangle \in R_{0}\wedge H\subseteq B\wedge J\subseteq \alpha /B],}
K α / A H : J : [ H , J , K R 1 H B J α / B ] . {\displaystyle K\subseteq \alpha /A\leftrightarrow \exists H:\exists J:[\langle H,J,K\rangle \in R_{1}\wedge H\subseteq B\wedge J\subseteq \alpha /B].}

If A is recursive in B this is written A α B {\displaystyle \scriptstyle A\leq _{\alpha }B} . By this definition A is recursive in {\displaystyle \scriptstyle \varnothing } (the empty set) if and only if A is recursive. However A being recursive in B is not equivalent to A being Σ 1 ( L α [ B ] ) {\displaystyle \Sigma _{1}(L_{\alpha }[B])} .

We say A is regular if β α : A β L α {\displaystyle \forall \beta \in \alpha :A\cap \beta \in L_{\alpha }} or in other words if every initial portion of A is α-finite.