De Broglie–Bohm theory: Difference between revisions
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In [[mathematics]], [[logic]] and [[computer science]], a [[formal language]] is called '''recursively enumerable''' (also '''recognizable''', '''partially decidable''', '''semidecidable''' or '''Turing-acceptable''') if it is a [[recursively enumerable set|recursively enumerable subset]] in the [[set (mathematics)|set]] of all possible words over the [[alphabet (computer science)|alphabet]] of the language, i.e., if there exists a [[Turing machine]] which will enumerate all valid strings of the language. | |||
Recursively enumerable languages are known as '''type-0''' languages in the [[Chomsky hierarchy]] of formal languages. All [[regular language|regular]], [[context-free grammar|context-free]], [[context-sensitive language|context-sensitive]] and [[recursive language|recursive]] languages are recursively enumerable. | |||
The class of all recursively enumerable languages is called '''[[RE (complexity)|RE]]'''. | |||
==Definitions== | |||
There exist three equivalent major definitions for the concept of a recursively enumerable language. | |||
# A recursively enumerable language is a [[recursively enumerable set|recursively enumerable]] [[subset]] in the [[set (mathematics)|set]] of all possible words over the [[alphabet (computer science)|alphabet]] of the [[formal language|language]]. | |||
# A recursively enumerable language is a formal language for which there exists a [[Turing machine]] (or other [[computable function]]) which will enumerate all valid strings of the language. Note that if the language is [[Infinity|infinite]], the enumerating algorithm provided can be chosen so that it avoids repetitions, since we can test whether the string produced for number ''n'' is "already" produced for a number which is less than ''n''. If it already is produced, use the output for input ''n+1'' instead (recursively), but again, test whether it is "new". | |||
# A recursively enumerable language is a formal language for which there exists a Turing machine (or other computable function) that will halt and accept when presented with any [[literal string|string]] in the language as input but may either halt and reject or loop forever when presented with a string not in the language. Contrast this to [[recursive language]]s, which require that the Turing machine halts in all cases. | |||
All [[regular language|regular]], [[context-free language|context-free]], [[context-sensitive language|context-sensitive]] and [[recursive language|recursive]] languages are recursively enumerable. | |||
[[Post's theorem]] shows that '''[[RE (complexity)|RE]]''', together with its [[complement (complexity)|complement]] [[co-RE]], correspond to the first level of the [[arithmetical hierarchy]]. | |||
==Example== | |||
The [[Halting problem]] is recursively enumerable but not recursive. Indeed one can run the Turing Machine and accept if the machine halts, hence it is r.e. On the other hand the problem is undecidable. | |||
Some other r.e. languages that are not recursive: | |||
* [[Post correspondence problem]] | |||
* [[Mortality (computability theory)]] | |||
* [[Entscheidungsproblem]] | |||
== Closure properties == | |||
Recursively enumerable languages are [[closure (mathematics)|closed]] under the following operations. That is, if ''L'' and ''P'' are two recursively enumerable languages, then the following languages are recursively enumerable as well: | |||
* the [[Kleene star]] <math>L^*</math> of ''L'' | |||
* the [[Concatenation#Concatenation_of_sets_of_strings|concatenation]] <math>L \circ P</math> of ''L'' and ''P'' | |||
* the [[Union (set theory)|union]] <math>L \cup P</math> | |||
* the [[Intersection (set theory)|intersection]] <math>L \cap P</math>. | |||
Note that recursively enumerable languages are not closed under set difference or complementation. The set difference ''L'' - ''P'' may or may not be recursively enumerable. If ''L'' is recursively enumerable, then the complement of ''L'' is recursively enumerable if and only if ''L'' is also recursive. | |||
== References == | |||
* Sipser, M. (1996), ''Introduction to the Theory of Computation'', PWS Publishing Co. | |||
* Kozen, D.C. (1997), ''Automata and Computability'', Springer. | |||
== External links == | |||
* {{CZoo|Class RE|R#re}} | |||
* [http://www.cs.colostate.edu/~massey/Teaching/cs301/RestrictedAccess/Slides/301lecture23.pdf Lecture slides] | |||
{{Formal languages and grammars}} | |||
[[Category:Formal languages]] | |||
[[Category:Theory of computation]] | |||
CNF |
Revision as of 02:48, 26 January 2014
Template:No footnotes In mathematics, logic and computer science, a formal language is called recursively enumerable (also recognizable, partially decidable, semidecidable or Turing-acceptable) if it is a recursively enumerable subset in the set of all possible words over the alphabet of the language, i.e., if there exists a Turing machine which will enumerate all valid strings of the language.
Recursively enumerable languages are known as type-0 languages in the Chomsky hierarchy of formal languages. All regular, context-free, context-sensitive and recursive languages are recursively enumerable.
The class of all recursively enumerable languages is called RE.
Definitions
There exist three equivalent major definitions for the concept of a recursively enumerable language.
- A recursively enumerable language is a recursively enumerable subset in the set of all possible words over the alphabet of the language.
- A recursively enumerable language is a formal language for which there exists a Turing machine (or other computable function) which will enumerate all valid strings of the language. Note that if the language is infinite, the enumerating algorithm provided can be chosen so that it avoids repetitions, since we can test whether the string produced for number n is "already" produced for a number which is less than n. If it already is produced, use the output for input n+1 instead (recursively), but again, test whether it is "new".
- A recursively enumerable language is a formal language for which there exists a Turing machine (or other computable function) that will halt and accept when presented with any string in the language as input but may either halt and reject or loop forever when presented with a string not in the language. Contrast this to recursive languages, which require that the Turing machine halts in all cases.
All regular, context-free, context-sensitive and recursive languages are recursively enumerable.
Post's theorem shows that RE, together with its complement co-RE, correspond to the first level of the arithmetical hierarchy.
Example
The Halting problem is recursively enumerable but not recursive. Indeed one can run the Turing Machine and accept if the machine halts, hence it is r.e. On the other hand the problem is undecidable.
Some other r.e. languages that are not recursive:
Closure properties
Recursively enumerable languages are closed under the following operations. That is, if L and P are two recursively enumerable languages, then the following languages are recursively enumerable as well:
- the Kleene star of L
- the concatenation of L and P
- the union
- the intersection .
Note that recursively enumerable languages are not closed under set difference or complementation. The set difference L - P may or may not be recursively enumerable. If L is recursively enumerable, then the complement of L is recursively enumerable if and only if L is also recursive.
References
- Sipser, M. (1996), Introduction to the Theory of Computation, PWS Publishing Co.
- Kozen, D.C. (1997), Automata and Computability, Springer.
External links
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