Given a set of people and a set of items, with each person having a list that ranks his/her preferred items in order of preference, we want to match every person with a unique item. A matching is called popular if for any other matching , the number of people who prefer to is not less than the number of those who prefer to . For given and , consider the probability of existence of a popular matching when each person’s preference list is independently and uniformly generated at random. Previously, Mahdian showed that when people’s preference lists are strict (containing no ties) and complete (containing all items in ), if $\alpha = m/n > \alpha_\alpha_ \approx 1.42x^2 = e^{1/x}1-o(1)\alpha < \alpha_*o(1)$, i.e. a phase transition occurs at . In this paper, we investigate phase transitions in the case that people’s preference lists are strict but not complete. We show that in the case where every person has a preference list with length of a constant , a similar phase transition occurs at , where is the root of equation $x e^{-1/2x} = 1-(1-e^{-1/x})^{k-1}$.

生成讲解博客的中文版本

生成AI智能校验的中文版本