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Let A and B be two determinstic context-free grammar, and let N be an integer: What's the complexity of deciding if the intersection of the languages accepted by A and B over all strings of length less than N is empty?

It's easy to check that the problem is PSPACE-Hard for general CFGs. The reduction can be done from intersection emptiness problem of a set of Deterministic Finite Automata. The proof relies heavily on the unambiguity of the construction though. For Determinstic CFGs, I can't manage to find the solution. We know that the unbounded version of the problem is undecidable, though. This makes me think that the problem is at least NP-Hard. However, I couldn't derive a proof for this.

Thanks for your help in advance

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Mark-Jan Nederhof, Giorgio Satta: The language intersection problem for non-recursive context-free grammars. Inf. Comput. 192(2): 172-184 (2004) proved that:

Theorem 1. Let the input consist of two non-recursive deterministic CFGs. The problem of deciding non-emptiness of the intersection of the two generated languages is PSPACE-hard.

The theorem holds for non-recursive (deterministic) CF grammars, so your problem is simply a generalization: using the same construction, just set $N$ large enough to include the longest string (i.e. the max number of steps of the "simulated" LBA).

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    $\begingroup$ Thanks for your answer. A polynomial-time reduction from the LBA problem will require N to be set exponentially large with respect to the string w of the input of the LBA. Therefore, the PSpace-Hardness result holds only if N is given in binary format. I wonder about the case when N is given in unary format, which i think is more interesting. $\endgroup$ Mar 27 at 10:59
  • $\begingroup$ In that case I think it is NP-hard (just generate the non-recursive grammars for the polytime verifier) $\endgroup$ Mar 27 at 11:14

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