Greibach's theorem

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In theoretical computer science, in particular in formal language theory, Greibach's theorem states that certain properties of formal language classes are undecidable. It is named after the computer scientist Sheila Greibach, who first proved it in 1963. [1] [2]

Contents

Definitions

Given a set Σ, often called "alphabet", the (infinite) set of all strings built from members of Σ is denoted by Σ * . A formal language is a subset of Σ*. If L1 and L2 are formal languages, their product L1L2 is defined as the set { w1w2 : w1L1, w2L2 } of all concatenations of a string w1 from L1 with a string w2 from L2. If L is a formal language and a is a symbol from Σ, their quotient L/a is defined as the set { w : waL } of all strings that can be made members of L by appending an a. Various approaches are known from formal language theory to denote a formal language by a finite description, such as a formal grammar or a finite-state machine.

For example, using an alphabet Σ = { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 }, the set Σ* consists of all (decimal representations of) natural numbers, with leading zeroes allowed, and the empty string, denoted as ε. The set Ldiv3 of all naturals divisible by 3 is an infinite formal language over Σ; it can be finitely described by the following regular grammar with start symbol S0:

S0ε   |0 S0 | 1 S2 | 2 S1 | 3 S0 | 4 S2 | 5 S1 | 6 S0 | 7 S2 | 8 S1 | 9 S0
S10 S1| 1 S0| 2 S2| 3 S1| 4 S0| 5 S2| 6 S1| 7 S0| 8 S2| 9 S1
S20 S2| 1 S1| 2 S0| 3 S2| 4 S1| 5 S0| 6 S2| 7 S1| 8 S0| 9 S2

Examples for finite languages are {ε,1,2} and {0,2,4,6,8}; their product {ε,1,2}{0,2,4,6,8} yields the even numbers up to 28. The quotient of the set of prime numbers up to 100 by the symbol 7, 4, and 2 yields the language {ε,1,3,4,6,9}, {}, and {ε}, respectively.

Formal statement of the theorem

Greibach's theorem is independent of a particular approach to describe a formal language. It just considers a set C of formal languages over an alphabet Σ∪{#} such that

Let P be any nontrivial subset of C that contains all regular sets over Σ∪{#} and is closed under quotient by each single symbol in Σ∪{#}. [note 2] Then the question whether LP for a given description of a language LC is undecidable.

Proof

Let M ⊆ Σ*, such that MC, but MP. [note 3] For any LC with L ⊆ Σ*, define φ(L) = (M*) ∪ (Σ*#L). From a description of L, a description of φ(L) can be effectively computed.

Then L = Σ* if and only if φ(L) ∈ P:

Hence, if membership in P would be decidable for φ(L) from its description, so would be L’s equality to Σ* from its description, which contradicts the definition of C. [3]

Applications

Using Greibach's theorem, it can be shown that the following problems are undecidable:

Proof: The class of context-free languages, and the set of regular languages, satisfies the above properties of C, and P, respectively. [note 4] [4]
Proof: The class of context-free languages, and the set of context-free languages that aren't inherently ambiguous, satisfies the above properties of C, and P, respectively. [5]

See also Context-free grammar#Being in a lower or higher level of the Chomsky hierarchy.

Notes

  1. This is left implicit in Hopcroft, Ullman, 1979: PC needs to contain all these regular languages.
  2. That is, if LP, then L/aP for each a ∈ Σ∪{#}.
  3. The existence of such an M is required by the above somewhat vague requirement of P being "nontrivial".
  4. Regular languages are context-free: Context-free grammar#Subclasses; context-free languages are closed with respect to union and (even general) concatenation: Context-free grammar#Closure properties; equality to Σ* is undecidable for context-free languages: Context-free grammar#Universality; regular languages are closed under (even general) quotients: Regular language#Closure properties.

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References

  1. Sheila Greibach (1963). "The undecidability of the ambiguity problem for minimal linear grammars". Information and Control. 6 (2): 117–125. doi:10.1016/s0019-9958(63)90149-9.
  2. Sheila Greibach (1968). "A note on undecidable properties of formal languages". Math Systems Theory. 2 (1): 1–6. doi:10.1007/bf01691341. S2CID   19948229.
  3. John E. Hopcroft; Jeffrey D. Ullman (1979). Introduction to Automata Theory, Languages, and Computation . Addison-Wesley. ISBN   0-201-02988-X. p.205-206
  4. Hopcroft, Ullman, 1979, p.205, Theorem 8.15
  5. Hopcroft, Ullman, 1979, p.206, Theorem 8.16