Kernelization lower bound for Permutation Pattern Matching

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.

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