On Pareto-Optimal and Fair Allocations with Personalized Bi-Valued Utilities
摘要
We study the fair division problem of allocating m indivisible goods to n agents with additive personalized bi-valued utilities. Specifically, each agent i assigns one of two positive values \(a_i > b_i > 0\) to each good, indicating that agent i’s valuation of any good is either \(a_i\) or \(b_i\) . For convenience, we denote the value ratio of agent i as \(r_i = a_i / b_i\) . 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 \(r_i\) is an integer. For the general case (where \(r_i\) 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 \(\{a,b,c\}\) for some prescribed \(a>b>c\ge 0\) ), and this decision problem belongs to P for bi-valued utilities (where \(r_i\) 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).