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arXiv · 2610.26032

Sustainable and Envy-free Multi-Period Allocation

Abstract

Allocating renewable resources fairly requires accounting for how present decisions affect future availability. We introduce Sustainable and Envy-Free Multi-Period Allocation, in which agents are assigned over multiple periods to renewable resources whose quantities evolve over time according to renewal functions. An allocation must respect viability and capacity constraints while being envy-free over the whole time horizon. We study the computational and parameterized complexity of finding such allocations, with a focus on the three dimensions of the problem: the numbers of agents, resources, and periods. We show that finding such an allocation is NP-hard already for unary encoding and any single one of them being fixed to a constant. Whether two small dimensions suffice for tractability depends on the pair, the class of renewal functions, and the numerical encoding. For few resources and periods, binary-encoded instances remain hard in general, whereas unary encoding yields XP-time algorithms. For few resources and agents, binary-encoded instances also remain hard in general but become XP-time solvable when all renewal functions are translations. Few agents and periods yield fixed-parameter tractability, but no polynomial kernel under standard complexity assumptions.

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BibTeXRIS

Robert Bredereck, Eva Deltl, Till Fluschnik. 2026-10-19. Sustainable and Envy-free Multi-Period Allocation. https://arxiv.org/abs/2610.26032

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