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Cutsets and EF1 Fair Division of Graphs

Jiehua Chen, William S. Zwicker

TL;DR

The paper studies EF1 fair division on connected graphs by partitioning the vertex set into connected shares and introduces graph cutsets as obstructions to existence of connected EF1 allocations. It formalizes cutsets with gap and valence parameters, proving a main obstruction theorem that rules out EF1 existence for certain numbers of agents, with CA valuations for tame cutsets and CM valuations in general. It shows NP-hardness for detecting cutsets and develops the EF1 spectrum framework to characterize when connected EF1outer allocations are guaranteed across varying numbers of agents, including positive results for traceable graphs and near-vertex counts. The work suggests a common spectral pattern across graphs and discusses counterexamples, countervailing cases, and open questions related to graph structure, complexity, and universal guarantees.

Abstract

In fair division of a connected graph $G = (V, E)$, each of $n$ agents receives a share of $G$'s vertex set $V$. These shares partition $V$, 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 $n$. If $G$ guarantees connected EF1 allocations for $n$ agents with valuations that are CA (common and additive), then $G$ contains no elementary cutset of gap $k \ge 2$ and valence in the interval $\[n - k + 1, n - 1\]$. If $G$ guarantees connected EF1 allocations for $n$ agents with valuations in the broader CM (common and monotone) class, then $G$ contains no cutset of gap $k \ge 2$ 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 $G$ we can, with help from some new positive results, pin down $G$'s spectrum - the list of exactly which values of $n$ 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 $\ge 2$ at all, yet fails to guarantee connected EF1 allocations for three agents with CA preferences.

Cutsets and EF1 Fair Division of Graphs

TL;DR

The paper studies EF1 fair division on connected graphs by partitioning the vertex set into connected shares and introduces graph cutsets as obstructions to existence of connected EF1 allocations. It formalizes cutsets with gap and valence parameters, proving a main obstruction theorem that rules out EF1 existence for certain numbers of agents, with CA valuations for tame cutsets and CM valuations in general. It shows NP-hardness for detecting cutsets and develops the EF1 spectrum framework to characterize when connected EF1outer allocations are guaranteed across varying numbers of agents, including positive results for traceable graphs and near-vertex counts. The work suggests a common spectral pattern across graphs and discusses counterexamples, countervailing cases, and open questions related to graph structure, complexity, and universal guarantees.

Abstract

In fair division of a connected graph , each of agents receives a share of 's vertex set . These shares partition , 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 . If guarantees connected EF1 allocations for agents with valuations that are CA (common and additive), then contains no elementary cutset of gap and valence in the interval . If guarantees connected EF1 allocations for agents with valuations in the broader CM (common and monotone) class, then contains no cutset of gap and valence in the interval . These results rule out the existence of connected EF1 allocations in a variety of situations. For some graphs we can, with help from some new positive results, pin down 's spectrum - the list of exactly which values of 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 at all, yet fails to guarantee connected EF1 allocations for three agents with CA preferences.
Paper Structure (14 sections, 12 theorems, 2 equations, 3 figures)

This paper contains 14 sections, 12 theorems, 2 equations, 3 figures.

Key Result

Proposition 1

For each traceable graph $G$ and positive integer $n \geq 1$, and for all monotone valuations of the $n$ agents, there exists a connected EF1outer allocation.

Figures (3)

  • Figure 1: Graph I has a type-1 trident; Graphs II and III have type-2 tridents.
  • Figure 2: Three examples of cutsets with valence 2 and gap $\ge 2$, forbidding connected EF1 allocations for $3$ agents under CA valuations.
  • Figure 3: Left: Graph VII has a cutset of valence 3 and gap $\ge 2$. Middle: The JCS graph. Right: The graph $L^*$ from Figure 11 in the paper of Igarashi and Zwicker IgZwi.

Theorems & Definitions (41)

  • Proposition 1: Bilo, Igarashi
  • Definition 1: Budish
  • Definition 2: Bipolar orderings and tridents
  • Example 1
  • Proposition 2: Bilo
  • Proposition 3: IgZwi
  • Lemma 1
  • proof
  • Lemma 2
  • proof
  • ...and 31 more