Fixed-Parameter Algorithms for the Kneser and Schrijver Problems

TL;DR

This paper develops fixed-parameter algorithms for the Kneser and Schrijver problems, enabling efficient solutions for finding monochromatic edges in colored Kneser graphs, and applies these results to the Agreeable-Set problem.

Contribution

It introduces randomized fixed-parameter algorithms for the Kneser and Schrijver problems based on structural graph results, and applies these to improve solutions for the Agreeable-Set problem.

Findings

Algorithms run in n^{O(1)} * k^{O(k)} time, fixed-parameter tractable.

Provides a polynomial-time randomized algorithm for the Agreeable-Set problem under certain conditions.

Shows the complexity relation between the Agreeable-Set problem and extended Kneser coloring variants.

Abstract

The Kneser graph $K(n,k)$ is defined for integers $n$ and $k$ with $n \geq 2k$ as the graph whose vertices are all the $k$-subsets of $[n]=\{1,2,\ldots,n\}$ where two such sets are adjacent if they are disjoint. The Schrijver graph $S(n,k)$ is defined as the subgraph of $K(n,k)$ induced by the collection of all $k$-subsets of $[n]$ that do not include two consecutive elements modulo $n$. It is known that the chromatic number of both $K(n,k)$ and $S(n,k)$ is $n-2k+2$. In the computational Kneser and Schrijver problems, we are given an access to a coloring with $n-2k+1$ colors of the vertices of $K(n,k)$ and $S(n,k)$ respectively, and the goal is to find a monochromatic edge. We prove that the problems admit randomized algorithms with running time $n^{O(1)} \cdot k^{O(k)}$, hence they are fixed-parameter tractable with respect to the parameter $k$. The analysis involves structural results on intersecting families and on induced subgraphs of Kneser and Schrijver graphs. We also study the Agreeable-Set problem of assigning a small subset of a set of $m$ items to a group of $\ell$ agents, so that all agents value the subset at least as much as its complement. As an application of our algorithm for the Kneser problem, we obtain a randomized polynomial-time algorithm for the Agreeable-Set problem for instances with $\ell \geq m - O(\frac{\log m}{\log \log m})$. We further show that the Agreeable-Set problem is at least as hard as a variant of the Kneser problem with an extended access to the input coloring.