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The (Exact) Price of Cardinality for Indivisible Goods: A Parametric Perspective

Alexander Lam, Bo Li, Ankang Sun

TL;DR

This paper introduces the price of cardinality, the worst-case multiplicative loss in social welfare when enforcing a cardinality constraint on allocations of indivisible goods, for both utilitarian and egalitarian metrics. It adopts a parametric approach, deriving tight or almost-tight, exact bounds as functions of instance parameters $n$, $m$, $k$, and per-category sizes $m_j$, $k_j$, in both single- and multi-category settings, and it shows how welfare improves as the constraint loosens ($k$ increases). Notably, it provides a closed-form characterization in the single-category case for utilitarian welfare $\frac{1}{2}\left(1+\sqrt{1+\frac{m-1}{k}}\right)$ and egalitarian welfare $\max\left\{\frac{m-n+1}{k},1\right\}$, and extends to multi-category scenarios with exact bounds such as $\frac{2}{\frac{k_1}{m_1}+\frac{k_2}{m_2}}$ for two agents (utilitarian) and $\frac{m_1}{k_1}$ (general $n$), as well as a tight egalitarian bound across categories. These results yield a practical framework for decision-makers to select an appropriate cardinality level by quantifying the trade-off between fairness and welfare and extend prior asymptotic bounds on the price of balancedness. The work also outlines linear-time pathways to compute cardinal allocations that guarantee welfare matching the derived bounds via maximum weight bipartite matchings per category, enhancing applicability in real-world fair division tasks.

Abstract

We adopt a parametric approach to analyze the worst-case degradation in social welfare when the allocation of indivisible goods is constrained to be fair. Specifically, we are concerned with cardinality-constrained allocations, which require that each agent has at most $k$ items in their allocated bundle. We propose the notion of the price of cardinality, which captures the worst-case multiplicative loss of utilitarian or egalitarian social welfare resulting from imposing the cardinality constraint. We then characterize tight or almost-tight bounds on the price of cardinality as exact functions of the instance parameters, demonstrating how the social welfare improves as $k$ is increased. In particular, one of our main results refines and generalizes the existing asymptotic bound on the price of balancedness, as studied by Bei et al. [BLMS21]. We also further extend our analysis to the problem where the items are partitioned into disjoint categories, and each category has its own cardinality constraint. Through a parametric study of the price of cardinality, we provide a framework which aids decision makers in choosing an ideal level of cardinality-based fairness, using their knowledge of the potential loss of utilitarian and egalitarian social welfare.

The (Exact) Price of Cardinality for Indivisible Goods: A Parametric Perspective

TL;DR

This paper introduces the price of cardinality, the worst-case multiplicative loss in social welfare when enforcing a cardinality constraint on allocations of indivisible goods, for both utilitarian and egalitarian metrics. It adopts a parametric approach, deriving tight or almost-tight, exact bounds as functions of instance parameters , , , and per-category sizes , , in both single- and multi-category settings, and it shows how welfare improves as the constraint loosens ( increases). Notably, it provides a closed-form characterization in the single-category case for utilitarian welfare and egalitarian welfare , and extends to multi-category scenarios with exact bounds such as for two agents (utilitarian) and (general ), as well as a tight egalitarian bound across categories. These results yield a practical framework for decision-makers to select an appropriate cardinality level by quantifying the trade-off between fairness and welfare and extend prior asymptotic bounds on the price of balancedness. The work also outlines linear-time pathways to compute cardinal allocations that guarantee welfare matching the derived bounds via maximum weight bipartite matchings per category, enhancing applicability in real-world fair division tasks.

Abstract

We adopt a parametric approach to analyze the worst-case degradation in social welfare when the allocation of indivisible goods is constrained to be fair. Specifically, we are concerned with cardinality-constrained allocations, which require that each agent has at most items in their allocated bundle. We propose the notion of the price of cardinality, which captures the worst-case multiplicative loss of utilitarian or egalitarian social welfare resulting from imposing the cardinality constraint. We then characterize tight or almost-tight bounds on the price of cardinality as exact functions of the instance parameters, demonstrating how the social welfare improves as is increased. In particular, one of our main results refines and generalizes the existing asymptotic bound on the price of balancedness, as studied by Bei et al. [BLMS21]. We also further extend our analysis to the problem where the items are partitioned into disjoint categories, and each category has its own cardinality constraint. Through a parametric study of the price of cardinality, we provide a framework which aids decision makers in choosing an ideal level of cardinality-based fairness, using their knowledge of the potential loss of utilitarian and egalitarian social welfare.
Paper Structure (20 sections, 16 theorems, 45 equations, 2 figures)

This paper contains 20 sections, 16 theorems, 45 equations, 2 figures.

Key Result

Theorem 1

In the single-category case, the utilitarian price of cardinality is

Figures (2)

  • Figure 1: Plot of the utilitarian price of cardinality in the single-category setting as a function of $\frac{k}{m-1}$.
  • Figure 2: Plot for $m=50$ showing the gap between the lower bound as described in the main body and proof of Lemma \ref{['lem:1catuswlowergen']} for any $m$ and $k$, and the upper bound from Theorem \ref{['thm:pocusw1-ak']}.

Theorems & Definitions (37)

  • Definition 1
  • Definition 2
  • Definition 3
  • Theorem 1
  • proof
  • Lemma 1
  • proof
  • Lemma 2
  • Lemma 3
  • proof : Proof Sketch
  • ...and 27 more