Title
Kernelization lower bound for Permutation Pattern Matching
Abstract
We prove that the Permutation Pattern Matching problem does not have a polynomial kernel (assuming a widely believed hypothesis from theory of computational complexity).A novel polynomial reduction from the Clique problem to the Permutation Pattern Matching problem is introduced.The standard cross-composition framework is applied to yield polynomial lower bounds. A permutation π contains a permutation as a pattern if it contains a subsequence of length | | whose elements are in the same relative order as in the permutation . This notion plays a major role in enumerative combinatorics. We prove that the problem does not have a polynomial kernel (under the widely believed complexity assumption NP co- NP / poly ) by introducing a new polynomial reduction from the clique problem to permutation pattern matching.
Year
DOI
Venue
2015
10.1016/j.ipl.2015.01.001
Information Processing Letters
Keywords
Field
DocType
parameterized complexity,algorithms
Permutation graph,Discrete mathematics,Combinatorics,Permutation matrix,Cyclic permutation,Random permutation,Bit-reversal permutation,Permutation pattern,Generalized permutation matrix,Partial permutation,Mathematics
Journal
Volume
Issue
ISSN
115
5
0020-0190
Citations 
PageRank 
References 
0
0.34
12
Authors
4
Name
Order
Citations
PageRank
Ivan Bliznets1132.99
Marek Cygan255640.52
Paweł Komosa301.35
Lukáš Mach4233.03