No, it is not possible to show that the language recognized by an infinite pushdown automaton is decidable.
Yes, decidable languages are closed under operations such as union, intersection, concatenation, and complementation. This means that if a language is decidable, performing these operations on it will result in another decidable language.
Yes, the difference between decidable and recognizable languages in theoretical computer science is clear to me. Decidable languages can be recognized by a Turing machine that always halts and gives a definite answer, while recognizable languages can be recognized by a Turing machine that may not always halt, but will give a positive answer for strings in the language.
A language is decidable if there exists an algorithm that can determine whether any given input belongs to the language or not. To demonstrate that a language is decidable, one must show that there is a Turing machine or a computer program that can correctly decide whether any input string is in the language or not, within a finite amount of time.
An example of a decidable language is the set of all even-length strings. This means that a Turing machine can determine whether a given string has an even number of characters in it.
To prove that a language is decidable, one must show that there exists a Turing machine that can determine whether a given input string belongs to the language in a finite amount of time. This can be done by providing a clear algorithm or procedure that the Turing machine follows to make this determination.
A Buchi automaton is a regular automaton but reads infinite words instead of finite words. A word is defined to be in the language of the automaton iff a run of the automaton on it visits inifinitly many times in the group of final states (or receiving states).
Yes, decidable languages are closed under operations such as union, intersection, concatenation, and complementation. This means that if a language is decidable, performing these operations on it will result in another decidable language.
Yes, the difference between decidable and recognizable languages in theoretical computer science is clear to me. Decidable languages can be recognized by a Turing machine that always halts and gives a definite answer, while recognizable languages can be recognized by a Turing machine that may not always halt, but will give a positive answer for strings in the language.
Turing Decidable Languages are both Turing Rec and Turing Co-Recognizable. If a Language is Not Turing Decidable, either it, or it's complement, must be not Recognizable.
A language is decidable if there exists an algorithm that can determine whether any given input belongs to the language or not. To demonstrate that a language is decidable, one must show that there is a Turing machine or a computer program that can correctly decide whether any input string is in the language or not, within a finite amount of time.
A co-buchi automaton is defined similarly to a buchi one: A = .The acceptance condition of a co-Buchi automaton is: for an infinite word w, w is in L(A) (A's language) iff there is a run of A on w that stays in F. "Stays", in formal terms means that for an infinite run r=r1 r2 ... there is a number n such that for every m>n rm is in F.
An example of a decidable language is the set of all even-length strings. This means that a Turing machine can determine whether a given string has an even number of characters in it.
finite automaton is the graphical representation of language and regular grammar is the representation of language in expressions
Assume by way of contradiction that there is a deterministic automaton for the language: The word 1^omega is in the language and therefor the run on it is accepting. So there is an index i_1 that the run passes in F. Observe the word 1^i_1 0 1^omega. The word is also in the language. Observe the second index it passes in F - i_2. We observe the word 1^i_1 0 i_2 0 1^omega. Continue like this and we create a word that has infinite number of 0-s that the automaton accepts - a contradiction for it being an automaton that recognizes the language.
To prove that a language is decidable, one must show that there exists a Turing machine that can determine whether a given input string belongs to the language in a finite amount of time. This can be done by providing a clear algorithm or procedure that the Turing machine follows to make this determination.
Undecidable languages are languages for which there is no algorithm that can determine whether a given input string is in the language or not. Examples of undecidable languages include the Halting Problem and the Post Correspondence Problem. Decidable languages, on the other hand, are languages for which there exists an algorithm that can determine whether a given input string is in the language or not. Examples of decidable languages include regular languages and context-free languages. The key difference between undecidable and decidable languages is that decidable languages have algorithms that can always provide a definite answer, while undecidable languages do not have such algorithms.
Any language L is Turing decidable if there exist a TM M, such that on input string x, where x belong to L, M either accepts it or rejects it........(But never goes into a loop )