2009
DOI: 10.2168/lmcs-5(1:2)2009
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Beyond Language Equivalence on Visibly Pushdown Automata

Abstract: Abstract. We study (bi)simulation-like preorder/equivalence checking on visibly pushdown automata, visibly BPA (Basic Process Algebra) and visibly one-counter automata. We describe generic methods for proving complexity upper and lower bounds for a number of studied preorders and equivalences like simulation, completed simulation, ready simulation, 2-nested simulation preorders/equivalences and bisimulation equivalence. Our main results are that all the mentioned equivalences and preorders are EXPTIME-complete… Show more

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Cited by 18 publications
(38 citation statements)
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“…bisimilarity) which asks if, for a given one-counter process, there is a bisimilar state in some finite system. Decidability of this problem was proven in [9] and according to [24] it follows from [1] and [21] that the problem is also hard for P. We give a simpler P-hardness proof, but we also show that the regularity problem is in P, thus establishing its Pcompleteness. It is appropriate to add that Kučera [12] showed a polynomial algorithm deciding bisimilarity between a one-counter process and a (given) finite system state.…”
Section: Introductionmentioning
confidence: 73%
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“…bisimilarity) which asks if, for a given one-counter process, there is a bisimilar state in some finite system. Decidability of this problem was proven in [9] and according to [24] it follows from [1] and [21] that the problem is also hard for P. We give a simpler P-hardness proof, but we also show that the regularity problem is in P, thus establishing its Pcompleteness. It is appropriate to add that Kučera [12] showed a polynomial algorithm deciding bisimilarity between a one-counter process and a (given) finite system state.…”
Section: Introductionmentioning
confidence: 73%
“…But the PSPACE-hardness result for (visibly) one-counter processes [24] discourages us from doing so; we should be satisfied with solving our problem in polynomial space. Thus a nondeterministic algorithm working in polynomial space is sufficient (since PSPACE=NPSPACE by Savitch's Theorem).…”
Section: Lemma 12mentioning
confidence: 99%
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“…PSPACE-hardness in Theorem 3 follows from [25], and NL-hardness in Theorem 5 follows from Proposition 1; hence our contribution consists in showing the upper bounds.…”
Section: Theorem 4 For a Rocamentioning
confidence: 99%