We consider prophet inequalities for XOS and MPH-$k$ combinatorial auctions and give a simplified proof for the existence of static and anonymous item prices which recover the state-of-the-art competitive ratios. Our proofs make use of a linear programming formulation which has a non-negative objective value if there are prices which admit a given competitive ratio $\alpha \geq 1$. Changing our perspective to dual space by an application of strong LP duality, we use an interpretation of the dual variables as probabilities to directly obtain our result. In contrast to previous work, our proofs do not require to argue about specific values of buyers for bundles, but only about the presence or absence of items. As a side remark, for any $k \geq 2$, this simplification also leads to a tiny improvement in the best competitive ratio for MPH-$k$ combinatorial auctions from $4k-2$ to $2k + 2 \sqrt{k(k-1)} -1$.
翻译:我们考虑了XOS和MPH-k$-1美元组合拍卖的预言不平等,并简化了证据,证明存在静态和匿名物品价格,从而恢复了最先进的竞争比率。我们的证据使用线性编程配方,如果价格允许某一竞争性比率($\alpha\geq 1美元),则具有非负客观价值。通过应用强大的LP双重性,将我们的观点改变为双重空间,我们用对双重变量的解释作为直接获取结果的概率。与以往的工作不同,我们的证据并不要求争论包包件买主的具体价值,而只是说明是否有项目。作为附带说明,对于任何1k\geq 2美元来说,这种简化还导致最大竞争比率从4k-2美元提高到2k+sqrt{k(k-1)}-1美元。