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On Pareto-Optimal and Fair Allocations with Personalized Bi-Valued Utilities

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Bibliography:4 Pages
Abstract

We study the fair division problem of allocating mm indivisible goods to nn agents with additive personalized bi-valued utilities. Specifically, each agent ii assigns one of two positive values ai>bi>0a_i > b_i > 0 to each good, indicating that agent ii's valuation of any good is either aia_i or bib_i. For convenience, we denote the value ratio of agent ii as ri=ai/bir_i = a_i / b_i.We give a characterization to all the Pareto-optimal allocations. Our characterization implies a polynomial-time algorithm to decide if a given allocation is Pareto-optimal in the case each rir_i is an integer. For the general case (where rir_i may be fractional), we show that this decision problem is coNP-complete. Our result complements the existing results: this decision problem is coNP-complete for tri-valued utilities (where each agent's value for each good belongs to {a,b,c}\{a,b,c\} for some prescribed a>b>c0a>b>c\geq0), and this decision problem belongs to P for bi-valued utilities (where rir_i in our model is the same for each agent).We further show that an EFX allocation always exists and can be computed in polynomial time under the personalized bi-valued utilities setting, which extends the previous result on bi-valued utilities. We propose the open problem of whether an EFX and Pareto-optimal allocation always exists (and can be computed in polynomial time).

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