A Linear Kernel for Independent Set Reconfiguration in Planar Graphs

Abstract

Fix a positive integer $r$, and a graph $G$ that is $K_{3,r}$-minor-free. Let $I_s$ and $I_t$ be two independent sets in $G$, each of size $k$. We begin with a ``token'' on each vertex of $I_s$ and seek to move all tokens to $I_t$, by repeated ``token jumping'', removing a single token from one vertex and placing it on another vertex. We require that each intermediate arrangement of tokens again specifies an independent set of size $k$. Given $G$, $I_s$, and $I_t$, we ask whether there exists a sequence of token jumps that transforms $I_s$ into $I_t$. When $k$ is part of the input, this problem is known to be PSPACE-complete. However, it was shown by Ito, Kamiński, and Ono (2014) to be fixed-parameter tractable. That is, the problem can be solved in time $f(k)\cdot Poly(n)$, for some function $f$ and polynomial $Poly(n)$, where $n$ denotes the order of $G$. Here we strengthen the upper bound on the running time in terms of $k$ by showing that the problem has a kernel of size linear in $k$. More precisely, we transform an arbitrary input problem on a $K_{3,r}$-minor-free graph (for some fixed positive integer $r$) into an equivalent problem on a ($K_{3,r}$-minor-free) graph with order $O(k)$. This answers positively a question of Bousquet, Mouawad, Nishimura, and Siebertz (2024) and improves the recent quadratic kernel of Cranston, Mühlenthaler, and Peyrille (2026). For planar graphs, we further strengthen this upper bound to get a kernel of size at most $39k$.

25 pages, 8 figures; version 1 was a conference version, so omitted some details due to page limits; version 2 is the journal version, including all details; to appear in SIAM J. Discrete Math