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Cutsets and EF1 Fair Division of Graphs

8 February 2024
Jiehua Chen
W. Zwicker
ArXiv (abs)PDFHTML
Abstract

In fair division of a connected graph G=(V,E)G = (V, E)G=(V,E), each of nnn agents receives a share of GGG's vertex set VVV. These shares partition VVV, with each share required to induce a connected subgraph. Agents use their own valuation functions to determine the non-negative numerical values of the shares, which determine whether the allocation is fair in some specified sense. We introduce forbidden substructures called graph cutsets, which block divisions that are fair in the EF1 (envy-free up to one item) sense by cutting the graph into "too many pieces". Two parameters - gap and valence - determine blocked values of nnn. If GGG guarantees connected EF1 allocations for nnn agents with valuations that are CA (common and additive), then GGG contains no elementary cutset of gap k≥2k \ge 2k≥2 and valence in the interval \[n - k + 1, n - 1\]. If GGG guarantees connected EF1 allocations for nnn agents with valuations in the broader CM (common and monotone) class, then GGG contains no cutset of gap k≥2k \ge 2k≥2 and valence in the interval \[n - k + 1, n - 1\]. These results rule out the existence of connected EF1 allocations in a variety of situations. For some graphs GGG we can, with help from some new positive results, pin down GGG's spectrum - the list of exactly which values of nnn do/do not guarantee connected EF1 allocations. Examples suggest a conjectured common spectral pattern for all graphs. Further, we show that it is NP-hard to determine whether a graph admits a cutset. We also provide an example of a (non-traceable) graph on eight vertices that has no cutsets of gap ≥2\ge 2≥2 at all, yet fails to guarantee connected EF1 allocations for three agents with CA preferences.

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