Question: Modified Exercise 1 . 5 ( pg . 2 4 - 2 5 ) The Stable Matching Problem, as discussed in the lecture, assumes that
Modified Exercise pg
The Stable Matching Problem, as discussed in the lecture, assumes that all PhD advisors
and graduate students have a fully ordered list of preferences. In this problem we will consider
a version of the problem in which PhD advisors and graduate students can be indifferent
between certain options. As before we have a set of PhD advisors and a set of
graduate students. Assume each PhD advisor and each graduate student ranks the members
of the opposite set, but now we allow ties in the ranking. For example with a student
could say that is ranked in first place; second place is a tie between and they have
no preference between them; and is in last place. We will say that prefers to if is
ranked higher than on their preference list they are not tied
With indifferences in the rankings, there could be two natural notions for stability. And for
each, we can ask about the existence of stable matchings, as follows.
a A strong instability in a perfect matching S consists of a PhD advisor and a student
such that each of and prefers the other to their partners in S Does there always
exist a perfect matching with no strong instability? Either give an example of a set of
PhD advisors and students with preference lists for which every perfect matching has
a strong instability; or give an algorithm that is guaranteed to find a perfect matching
with no strong instability.
b A weak instability in a perfect matching S consists of a PhD advisor and a student
such that their partners in S are and respectively, and one of the following holds:
prefers to and either prefers to or is indifferent between these two
choices; or
prefers to and either prefers to or is indifferent between these two
choices.
In other words, the pairing between and is either preferred by both, or preferred by
one while the other is indifferent. Does there always exist a perfect matching with no weak
instability? Either give an example of a set of PhD advisors and students with preference
lists for which every perfect matching has a weak instability; or give an algorithm that is
guaranteed to find a perfect matching with no weak instability.
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