Linear grammar

Example

A simple linear grammar is G with N = {S}, Σ = {a, b}, P with start symbol S and rules

It generates the language { a i b i | i ≥ 0 } .

Relationship with regular grammars

Two special types of linear grammars are the following:

Collectively, these two special types of linear grammars are known as the regular grammars; both can describe exactly the regular languages.

Another special type of linear grammar is the following:

By inserting new nonterminals, every linear grammar can be brought into this form without affecting the language generated. For instance, the rules of G above can be replaced with

Hence, linear grammars of this special form can generate all linear languages.

Expressive power

All regular languages are linear; conversely, an example of a linear, non-regular language is {aⁿbⁿ}, as explained above. All linear languages are context-free; conversely, an example of a context-free, non-linear language is the Dyck language of well-balanced bracket pairs. Hence, the regular languages are a proper subset of the linear languages, which in turn are a proper subset of the context-free languages.

While the linear languages that are regular languages are deterministic, there exist linear languages that are nondeterministic. For example, the language of even-length palindromes on the alphabet of 0 and 1 has the linear grammar S → 0S0 | 1S1 | ε. An arbitrary string of this language cannot be parsed without reading all its letters first which means that a pushdown automaton has to try alternative state transitions to accommodate for the different possible lengths of a semi-parsed string. This language is nondeterministic. Since nondeterministic context-free languages cannot be accepted in linear time, linear languages cannot be accepted in linear time in the general case. Furthermore, it is undecidable whether a given context-free language is a linear context-free language.

Closure properties

If L is a linear language and M is a regular language, then the intersection L ∩ M is again a linear language; in other words, the linear languages are closed under intersection with regular sets. Furthermore, the linear languages are closed under homomorphism and inverse homomorphism. These three closure properties show that the linear languages form a full trio. Full trios in general are language families that enjoy a couple of other desirable mathematical properties.