A time lower bound for satisfiability

Dieter Van Melkebeek; Ran Raz

doi:10.1007/978-3-540-27836-8_81

A time lower bound for satisfiability

Dieter Van Melkebeek, Ran Raz

Research output: Chapter in Book/Report/Conference proceeding › Chapter

4 Scopus citations

Abstract

We show that a deterministic Turing machine with one d-dimensional work tape and random access to the input cannot solve satisfiability in time n ^a for a < √(d + 2)/(d + 1). For conondeterministic machines, we obtain a similar lower bound for any a such that a³ < 1 + a/(d + 1). The same bounds apply to almost all natural NP-complete problems known.

Original language	English (US)
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Josep Díaz, Juhani Karhumäki, Arto Lepistö, Donald Sannella
Publisher	Springer Verlag
Pages	971-982
Number of pages	12
ISBN (Print)	3540228497
DOIs	https://doi.org/10.1007/978-3-540-27836-8_81
State	Published - 2004
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3142
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-27836-8_81

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Cite this

Van Melkebeek, D., & Raz, R. (2004). A time lower bound for satisfiability. In J. Díaz, J. Karhumäki, A. Lepistö, & D. Sannella (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 971-982). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3142). Springer Verlag. https://doi.org/10.1007/978-3-540-27836-8_81

Van Melkebeek, Dieter ; Raz, Ran. / A time lower bound for satisfiability. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Josep Díaz ; Juhani Karhumäki ; Arto Lepistö ; Donald Sannella. Springer Verlag, 2004. pp. 971-982 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Van Melkebeek, D & Raz, R 2004, A time lower bound for satisfiability. in J Díaz, J Karhumäki, A Lepistö & D Sannella (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3142, Springer Verlag, pp. 971-982. https://doi.org/10.1007/978-3-540-27836-8_81

A time lower bound for satisfiability. / Van Melkebeek, Dieter; Raz, Ran.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Josep Díaz; Juhani Karhumäki; Arto Lepistö; Donald Sannella. Springer Verlag, 2004. p. 971-982 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3142).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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AB - We show that a deterministic Turing machine with one d-dimensional work tape and random access to the input cannot solve satisfiability in time n a for a < √(d + 2)/(d + 1). For conondeterministic machines, we obtain a similar lower bound for any a such that a3 < 1 + a/(d + 1). The same bounds apply to almost all natural NP-complete problems known.

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Van Melkebeek D, Raz R. A time lower bound for satisfiability. In Díaz J, Karhumäki J, Lepistö A, Sannella D, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 971-982. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-27836-8_81