Title
Hierarchies of Inefficient Kernelizability
Abstract
The framework of Bodlaender et al. (ICALP 2008) and Fortnow and Santhanam (STOC 2008) allows us to exclude the existence of polynomial kernels for a range of problems under reasonable complexity-theoretical assumptions. However, there are also some issues that are not addressed by this framework, including the existence of Turing kernels such as the "kernelization" of Leaf Out Branching(k) into a disjunction over n instances of size poly(k). Observing that Turing kernels are preserved by polynomial parametric transformations, we define a kernelization hardness hierarchy, akin to the M- and W-hierarchy of ordinary parameterized complexity, by the PPT-closure of problems that seem likely to be fundamentally hard for efficient Turing kernelization. We find that several previously considered problems are complete for our fundamental hardness class, including Min Ones d-SAT(k), Binary NDTM Halting(k), Connected Vertex Cover(k), and Clique(k log n), the clique problem parameterized by k log n.
Year
Venue
Keywords
2011
CoRR
data structure,computational complexity,parameterized complexity,vertex cover
Field
DocType
Volume
Kernelization,Discrete mathematics,Binary logarithm,Parameterized complexity,Combinatorics,Clique,Polynomial,Turing,Vertex cover,Mathematics,Clique problem
Journal
abs/1110.0976
Citations 
PageRank 
References 
4
0.41
14
Authors
5
Name
Order
Citations
PageRank
Danny Hermelin179048.62
Stefan Kratsch256142.59
Karolina Soltys3141.31
Magnus Wahlström440133.04
Xi Wu541926.88