Abstract
We study the effect of using supplementary information on the complexity of deterministic pushdown automata. This continues the study of assisted problem solving initiated in [Gaži, Rovan 2008]. We study deterministic PDA that can assume its input to be in a given regular advisory language. We first show that no suitable complexity measure for DPDA combining the number of states and stack symbols exists. Next we prove tight bounds on the state complexity of an infinite sequence of deterministic context-free languages and show that no supplementary regular information can decrease the state complexity of the DPDA recognizing them. We also find an infinite sequence of deterministic context-free languages for which a suitable supplementary regular information enables the construction of a significantly simpler DPDA.
This research was supported in part by the grant VEGA 1/0726/09.
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Gaži, P., Rovan, B.: Assisted problem solving and decompositions of finite automata. In: Geffert, V., Karhumäki, J., Bertoni, A., Preneel, B., Návrat, P., Bieliková, M. (eds.) SOFSEM 2008. LNCS, vol. 4910, pp. 292–303. Springer, Heidelberg (2008)
Gécseg, F.: Products of Automata. Springer, Berlin (1986)
Gécseg, F., Peák, I.: Algebraic Theory of Automata. Akadémiai Kiadó, Budapest (1972)
Valiant, L.G.: Regularity and related problems for deterministic pushdown automata. J. ACM 22(1), 1–10 (1975)
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Labath, P., Rovan, B. (2011). Simplifying DPDA Using Supplementary Information. In: Dediu, AH., Inenaga, S., Martín-Vide, C. (eds) Language and Automata Theory and Applications. LATA 2011. Lecture Notes in Computer Science, vol 6638. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21254-3_27
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DOI: https://doi.org/10.1007/978-3-642-21254-3_27
Publisher Name: Springer, Berlin, Heidelberg
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