Parikh's theorem in theoretical computer science says that if one looks only at the number of occurrences of each terminal symbol in a context-free language, without regard to their order, then the language is indistinguishable from a regular language. [1] It is useful for deciding that strings with a given number of terminals are not accepted by a context-free grammar. [2] It was first proved by Rohit Parikh in 1961 [3] and republished in 1966. [4]
Let be an alphabet. The Parikh vector of a word is defined as the function , given by [1] where denotes the number of occurrences of the symbol in the word .
A subset of is said to be linear if it is of the form for some vectors . A subset of is said to be semi-linear if it is a union of finitely many linear subsets.
Theorem — Let be a context-free language or a regular language, let be the set of Parikh vectors of words in , that is, . Then is a semi-linear set.
If is any semi-linear set, then there exists a regular language (which a fortiori is context-free) whose Parikh vectors is .
In short, the image under of context-free languages and of regular languages is the same, and it is equal to the set of semilinear sets.
Two languages are said to be commutatively equivalent if they have the same set of Parikh vectors. Thus, every context-free language is commutatively equivalent to some regular language.
The second part is easy to prove.
Given semi-linear set , to construct a regular language whose set of Parikh vectors is .
is a union of 0 or more linear sets. Since the empty language is regular, and union of regular languages is regular, it suffices to prove that any linear set is the set of Parikh vectors of a regular language.
Let , then it is the set of Parikh vectors of , where each has Parikh vector .
The first part is less easy. The following proof is credited to Goldstine. [5]
First we need a small strengthening of the pumping lemma for context-free languages:
Lemma — If is generated by a Chomsky normal form grammar, then , such that
For any , and for any with , there exists a way to split into segments , and a nonterminal symbol , such that
for all , and
The proof is essentially the same as the standard pumping lemma: use the pigeonhole principle to find copies of some nonterminal symbol in the longest path in the shortest derivation tree.
Now we prove the first part of Parikh's theorem, making use of the above lemma.
First, construct a Chomsky normal form grammar for .
For each finite nonempty subset of nonterminals , define to be the set of sentences in such that there exists a derivation that uses every nonterminal in , no more and no less. It is clear that , so it suffices to prove that each is a semilinear set.
Now fix some , and let . We construct two finite sets , such that , which is obviously semilinear.
To prove , we induct on the length of .
To prove , consider an element . We need to show that . We induct on the minimal number of factors from that is needed to identify as an element of .
A language is bounded if for some fixed words . Ginsburg and Spanier [6] gave a necessary and sufficient condition, similar to Parikh's theorem, for bounded languages.
Call a linear set stratified, if in its definition for each the vector has the property that it has at most two non-zero coordinates, and for each if each of the vectors has two non-zero coordinates, and , respectively, then their order is not. A semi-linear set is stratified if it is a union of finitely many stratified linear subsets.
Ginsburg-Spanier — A bounded language is context-free if and only if is a stratified semi-linear set.
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