I want to know how to prove a language that has order constraints is regular. For example if you had that Σ = {1,2,3,4,5} where L (a subset of Σ*) = (a1,a2,...an) such that an+1 was larger than an how would you prove that this is a regular language?
e.g α = (1,3,5) would be accepted, however α = (1,4,5,2) would not.
Any language that can be recognized by a DFA (deterministic finite automaton) is regular. To prove that the language you described is regular, you simply have to prove that there exists a DFA that recognizes this particular language.
Remember that Σ is finite. If I understood the constraint of the language properly, one construction that works would have one starting state (accepting or non-accepting depending on whether you want to include ε in your language), one accepting state for each symbol in Σ and one rejecting state. The transition function should result in the state corresponding to the current input symbol if the current state is the starting state or corresponds to a "lesser" symbol, and to the rejecting state otherwise.
A shortcut is also available - each finite language is regular, and if I understood the constraint of the language you described properly, it is clearly finite (since Σ is finite). This trivially means that the language is also regular.
Related
There is this proof that I thought of that I am not quite sure if it's valid or not.
Suppose you had to prove the nonregularity of the following language:
A = { 0^n 1^n 2^n | n>= 0 }
The proof I devised picks a string that belongs in the language, such as 012, and show that it doesn't matter how it's divided, the pumping lemma is not wholly satisfied(I could post the entire proof, but the post is verbose as it is). According to my professor however, this proof cannot be accepted.
He did not explain why, and I don't see how such a proof would be insufficent to demonstrate that a language is not regular. If a string clearly belonging to an assumed regular language does not satisfy the pumping lemma, the language clearly has strings that are not regular as part of it set of strings, therefore the language is not regular.
I believe the reason my professor rejected this proof is because in the majority of problems the pumping length P cannot be correctly guessed. At the same time I do not see how my proof could be proven wrong with a counterexample.
You can only choose p (the pumping length) to be a specific number if the language is regular and p actually exists. The fact itself, that you pick an exact number, means that p exists, which is the thing to be actually proven.
Suppose that p exists. Lets choose a word, that is long enough: w=0^{p}1^{p}2^{p}. According to the pumping lemma there must exist a decomposition of each string in language A as w=xyz with |xy|≤p and |y|≥1 such that xy^{i}z in language A for every i≥0. To satisfy |xy|≤p choose x to be empty, y=0^{p}, and as a consequence z=1^{p}2^{p}. From the lemma, |y|≥1 so |xy|≥1. The strings with i≠1 (in xy^{i}z) are not in the language A. The language is thus not regular, and p does not exist.
If p existed then a finite state automaton could be constructed for this language. But no such automaton exists, because it would need memory to remember the number of 0 to later match the same number of 1 and 2. If n was a finite number, then you could construct, a probably large, automaton, but for infinite n no finite automaton can be constructed.
This language is not even context-free, because there is no push-down automaton that can be constructed for it. It is context-sensitive.
This is a grammar and I wan to check if this language is regular or not.
L → ε | aLcLc | LL
For example the result of this grammar is:
acc, accacc ..., aacccc, acaccc, accacc, aaacccccc, ...
I know that is not a regular language but how to prove it? Is building an automata the right way to prove it? What is the resulting automata. I don't see pattern to use it for build the automata.
Thank you for any help!
First, let me quickly demonstrate that you cannot deduce the language of a grammar is irregular based solely on the grammar's being irregular. To see this, consider the unrestricted grammar:
S -> SSaSS | aS | e
SaS -> aSa
aaS -> SSa
This is clearly not a regular grammar but you should be able to verify it generates the infinite regular language of all strings of a.
That said, how should we proceed? We will need to figure out what language your grammar generates, and then argue that particular language cannot be regular. We notice that the only rule that introduces terminal symbols always introduces twice as many c as it does a. Furthermore, it's not hard to see the language must be infinite. We can use the Myhill-Nerode theorem to show that these observations imply the language must be irregular.
Consider the prefix a^n of a hypothetical string in the language of this grammar. The shortest string which can be appended to the end of this prefix to give us a string generated by this grammar is c^(2n). No shorter string will work, and that string always works. Imagine now that we were looking at a correct deterministic finite automaton for the language of the grammar. Then, whatever state processing the prefix a^n left us in, we'd need the shortest path from there to an accepting state in the automaton to have length 2n. But a DFA must have finitely many states, and n is an arbitrary natural number. Our DFA cannot work for all possible n (it would need to have arbitrarily many states). This is a contradiction, so there can be no correct DFA for the language of the grammar. Since all regular languages have DFAs, that means the language of this grammar cannot be regular.
I have a homework problem that requires you to prove if a language is one of the three:
A Regular Language
Context-Free but Not Regular
Not Comtext-Free
How would you prove each one? I know Pumping Lemma can verify if a language is Not Regular or Not Context-Free, but that’s it.
The example to help me understand better is the following:
{ a^(2n+1)b^(3n+2) | n ∈ N }, alphabet { a, b } where N is all natural numbers.
The pumping lemma for regular languages can tell you that a language is not regular; however, it cannot tell you that a language is regular. To tell that a language is regular, you must do the equivalent of producing a finite automaton, regular grammar or regular expression and then proving it's correct for your language.
The pumping lemma for context-free languages tells you whether the language is or is not context free. That is, if a language satisfies the pumping lemma for context-free languages, it is context free; and if it does not, then it is not. However, you can certainly use it in the same way you'd use the pumping lemma for regular languages and go ahead and find a pushdown automaton or context-free grammar instead.
In your case, we can first choose the string a^(2p+1) b^(3p+2) to show that the language is not regular by the pumping lemma for regular languages. We can show the language is context-free by arguing that for any string of the form a^(2k+1) b^(3k+2) where 2k+1 and 3k+2 are sufficiently large, we can always choose v to contain 2 a's and y to contain three b's, so that pumping maintains the required property. Alternatively, we can just give a CFG for it based on the same insight:
S -> aaSbbb | abb
Then we should show the grammar is correct, which is left as an exercise.
According to Sipser's "Introduction to the Theory of Computation": If A is the set of all strings that machine M accepts, we say that A is the
language of machine M and write L(M) = A. We say that M recognizes A ... A machine may accept several strings, but it always recognizes only one language. and also We say that M recognizes language A if A = {w| M accepts w}.
I guess the question has already been answered, but I would like to know if anyone has any thought about it, if there is anything interesting we can say about the subsets of a regular language, if we can say that the original DFA recognizes them and if there is any interesting relationship between the original DFA and the ones that recognize the smaller languages
If the language recognized by a DFA (of which there is always exactly one) is finite, then there are finitely many sublanguages of that language (indeed, if the language accepted consists of N strings, there are 2^N sublanguages).
There is no useful relationship which can be easily inferred from the sub/super language relationship w.r.t. where in the Chomsky hierarchy the language falls. That is: a sublanguage of a regular language may be undecidable, and a sublanguage of an undecidable language may be regular, with all possible variations in between.
Because of this, there is no particularly neat relationship to be worked out among DFAs of sub/super languages: not all of the sublanguages will even be regular; some sublanguages will have simpler DFAs than the DFA of the super language, and some will have more complicated DFAs than the DFA of the super language. Some will have the same DFA but a different set of accepting states.
Given a DFA, there is only one language corresponding to the machine. A language is a set, that is, a collection of all the strings accepted by the dfa.
I know anbn for n > 0 is not regular by the pumping lemma but I would imagine a*b* to be regular since both a,b don't have to be the same length. Is there a proof for it being regular or not?
Answer to your question:
imagine a*b* to be regular, Is there a proof for it being regular or not?
No need to imagine, expression a*b* is called regular expression (re), and regular expressions are possible only for regular languages. If a language is not regular then regular expression is also not possible for that and if a language is regular language then we can always represent it by some regular expression.
Yes, a*b* represents a regular language.
Language description: Any number of a followed by any numbers of b (by any number I mean zero (including null ^) or more times). Some example strings are:
{^, a, b, aab, abbb, aabbb, ...}
DFA for RE a*b* will be as follows:
a- b-
|| ||
▼| ▼|
---►((Q0))---b---►((Q1))
In figure: `(())` means final state, so both `{Q0, Q1}` are final states.
You need to understand following basic concept:
What is basically a regular language? And why an infinite language `a*b*` is regular whereas languages like `{ anbn | n > 0 }` are not regular!!
A language(a set) is called regular language, if it requires only bounded(finite) amount of information to keep store at any instance of time while processing strings of the language.
So, what is 'bounded' information?
For example: Consider a fan 'on'/'off' switch. By viewing fan switch we can say whether the fan is in the on or off state (this is bounded or limited information). But we cannot tell 'how many times' a fan has been switched to on or off in the past! (to memorize this, we require a mechanism to store an 'unbounded' amount of information to count — 'how many times' e.g. the meter used in our cars/bikes).
The language { anbn | n > 0 } is not a regular language because here n is unbounded(it can be infinitely large). To verify strings in the language anbn, we need to memorize how many a symbols there are and it requires an infinite memory storage to count because the number of a symbols in the string can be infinitely large!
That means an automata is only capable of processing strings of the language anbn if it has infinite memory e.g PDA.
Whereas, a*b* is of course regular by its nature, because there is the bounded restriction ‐ that b may come after some a ( and a can't came after b). And that is why every string of this language can be easily processed (or recognized) by an automata in which we have finite memory - and finite automata is a class of automata where memory is finite. Yes, in finite automata, we have finite amount of memory in the term of states.
(Memory in finite automata is present in the form of states Q and according to automata principal: any automata can have only finite states. hence finite automata have finite memory, this is the reason the class of automata for regular languages is called finite automata. You can think of a finite automata like a CPU without memory, that has finite register to remember its internal states)
Finite State ⇒ Finite Memory ⇒ Only language can be processed for which finite memory needs to store at any instance of time while processing the string ⇒ that language is called Regular Language
Absent of external memory is limitation of finite automate ⇒ or we can say limitation of finite automata defined class of language called Regular Language.
You should read other answer "finiteness of regular language" to learn scope of regular language.
side note::
language { anbn | n > 0 } is subset of a*b*
Also a language { anbn | 10>100 n > 0 } is regular, a large set but regular because n is bounded, hence finite automata and regular expression is possible for this language.
You should also read: How to prove a language is regular?
The proof is: ((a*)(b*)) is a well-formed regular expression, hence matching a regular language. a*b* is a syntactic shortenning of the same expression.
Another proof: Regular languages are closed to concatenation. a* is a regular language. b* is a regular language, therefore their concatenation, a*b*, is also a regular expression.
You can build an automat for it:
0 ->(a) 1
0 ->(b) 2
1 ->(a) 1
1 ->(b) 2
2 ->(b) 2
2 ->(a) 3
3 ->(a,b) 3
where only 3 is not an accepting state, and prove that the language is a*b*.
To prove that a language is regular, it is sufficient to show either:
1) There exists some DFA that recognizes it. In this case, the DFA is trivial.
2) The language can be expressed as a regular expression, as mentioned in another answer. a*b* is a regular expression to recognize this language.
A regular language is a language that can be expressed with a regular expression or a deterministic or non-deterministic finite automata or state machine.
A language is a set of strings which are made up of characters from a specified alphabet, or set of symbols. Regular languages are a subset of the set of all strings.
a closure property is a statement that a certain operation on languages, when applied to languages in a class (e.g., the regular languages), produces a result that is also in that class.
this RE shows..the type of language that accepts multiple of (a) if any but before (b)
means language without containing any substring (ba)
Regular languages are not subset of context free languages. For example, ab is regular, comprising all the strings made of substring of a's followed by substring of b's. This is not subset of a^nb^n, but superset.