Linear kernels for edge deletion problems to immersion-closed graph classes
Archontia C. Giannopoulou, Micha{\l} Pilipczuk, Dimitrios M. Thilikos,, Jean-Florent Raymond, and Marcin Wrochna

TL;DR
This paper introduces new fixed-parameter algorithms, linear kernels, and approximation algorithms for the -Immersion Deletion problem, which involves removing edges to eliminate certain immersions, with results that differ significantly from the minor deletion case.
Contribution
The paper proves that -Immersion Deletion admits a linear kernel and fixed-parameter algorithms under specific conditions, contrasting with the more complex kernelization of -Minor Deletion.
Findings
Linear kernel for -Immersion Deletion
Constant-factor approximation algorithm
Fixed-parameter algorithm with exponential dependence on k
Abstract
Suppose is a finite family of graphs. We consider the following meta-problem, called -Immersion Deletion: given a graph and integer , decide whether the deletion of at most edges of can result in a graph that does not contain any graph from as an immersion. This problem is a close relative of the -Minor Deletion problem studied by Fomin et al. [FOCS 2012], where one deletes vertices in order to remove all minor models of graphs from . We prove that whenever all graphs from are connected and at least one graph of is planar and subcubic, then the -Immersion Deletion problem admits: a constant-factor approximation algorithm running in time ; a linear kernel that can be computed in time ; and a $O(2^{O(k)}…
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