Polynomial Kernel and Incompressibility for Prison-Free Edge Deletion and Completion
Abstract
Given a graph G and an integer k, the H-free Edge Deletion problem asks whether there exists a set of at most k edges of G whose deletion makes G free of induced copies of H. Significant attention has been given to the kernelizability aspects of this problem -- i.e., for which graphs H does the problem admit an "efficient preprocessing" procedure, known as a polynomial kernelization, where an instance I of the problem with parameter k is reduced to an equivalent instance I' whose size and parameter value are bounded polynomially in k? Although such routines are known for many graphs H where the class of H-free graphs has significant restricted structure, it is also clear that for most graphs H the problem is incompressible, i.e., admits no polynomial kernelization parameterized by k unless the polynomial hierarchy collapses. These results led Marx and Sandeep to the conjecture that H-free Edge Deletion is incompressible for any graph H with at least five vertices, unless H is complete or has at most one edge (JCSS 2022). This conjecture was reduced to the incompressibility of H-free Edge Deletion for a finite list of graphs H. We consider one of these graphs, which we dub the prison, and show that Prison-Free Edge Deletion has a polynomial kernel, refuting the conjecture. On the other hand, the same problem for the complement of the prison is incompressible.
Turn this paper into a full lesson
ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.