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Stable marriage with indifference is a variant of the
stable marriage problem In mathematics, economics, and computer science, the stable marriage problem (also stable matching problem or SMP) is the problem of finding a stable matching between two equally sized sets of elements given an ordering of preferences for each ele ...
. Like in the original problem, the goal is to match all men to all women such that no pair of man and woman who are unmarried to each other, would simultaneously like to leave their present partners and pair with each other instead. In the classic version of the problem, each person must rank the members of the opposite sex in strict order of preference. However, in a real-world setting, a person may prefer two or more persons as equally favorable partner. Such tied preference is termed as ''indifference''. Below is such an instance where m_2 finds tie between w_3 \& w_1 and w_2 finds tie between m_1 \& m_2. :m_1 w_2\ w_1\ w_3 \ \ \ \ \ \ \ w_1 m_3\ m_2\ m_1 \ /math> :m_2 left( w_3\ w_1 \right) w_2\ \ \ \ \ \ w_2 left( m_1\ m_2\right) m_3 /math> :m_3 w_1\ w_2\ w_3 \ \ \ \ \ \ \ w_3 m_2\ m_3\ m_1 \ /math> If tied preference lists are allowed then the stable marriage problem will have three notions of stability which are discussed in the below sections. 1. A matching is called weakly stable unless there is a couple each of whom strictly prefers the other to his/her partner in the matching. Robert W. Irving has extended the
Gale–Shapley algorithm In mathematics, economics, and computer science, the Gale–Shapley algorithm (also known as the deferred acceptance algorithm or propose-and-reject algorithm) is an algorithm for finding a solution to the stable matching problem, named for David ...
as below to provide such weakly stable matching in O(n^2) time where n is size of stable marriage problem. Ties in men and women's preference list are broken arbitrarily. Preference lists are reduced as algorithm proceeds. Assign each person to be free; while (some man m is free) do begin w := first woman on m’s list; m proposes, and becomes engaged, to w; if (some man m' is engaged to w) then assign m' to be free; for each (successor m'' of m on w’s list) do delete the pair (m'', w) end; output the engaged pairs, which form a stable matching 2. A matching is called super-stable if there is no couple each of whom either strictly prefers the other to his/her partner or is indifferent between them. Robert W. Irving has modified the above algorithm to check whether such super stable matching exists and outputs matching in O(n^2) time if it exists. Below is the pseudocode. assign each person to be free; repeat while (some man m is free) do for each (woman w at the head of m’s list) do begin m proposes, and becomes engaged, to w; for each (strict successor m' of m on w’s list) do begin if (m' is engaged) to w then break the engagement; delete the pair (m', w) end end for each (woman w who is multiply engaged) do begin break all engagements involving w; for each (man m at the tail of w’s list) do delete the pair (m, w) end; until (some man’s list is empty) or (everyone is engaged); if everyone is engaged then the engagement relation is a super-stable matching else no super-stable matching exists 3. A matching is strongly stable if there is no couple x, y such that x strictly prefers y to his/her partner and y either strictly prefers x to his/her partner or is indifferent between them. Robert W. Irving has provided the algorithm which checks if such strongly stable matching exists and outputs the matching if it exists. The algorithm computes perfect matching between sets of men and women, thus finding the critical set of men who are engaged to multiple women. Since such engagements are never stable, all such pairs are deleted and the proposal sequence will be repeated again until either 1) some man's preference list becomes empty (in which case no strongly stable matching exists) or 2) strongly stable matching is obtained. Below is the pseudo-code for finding strongly stable matching. It runs in O(n^4) time which is explained in the Lemma 4.6 of . Assign each person to be free; repeat while (some man m is free) do for each (woman w at the head of m's list) do begin m proposes, and becomes engaged, to w; for each (strict successor m' of m on w’s list) do begin if (m' is engaged) to w then break the engagement; delete the pair (m'. w) end end if (the engagement relation does not contain a perfect matching) then begin find the critical set Z of men; for each (woman w who is engaged to a man in Z) do begin break all engagements involving w; for each man m at the tail of w’s list do delete the pair (m, w) end; end; until (some man’s list is empty) or (everyone is engaged); if everyone is engaged then the engagement relation is a super-stable matching else no strongly stable matching exists


Structure of stable marriage with indifference

In many problems, there can be several different stable matchings. The set of stable matchings has a special structure. David F. Manlove proved that, both the set of strong stable matchings and the set of super stable matchings form a
distributive lattice In mathematics, a distributive lattice is a lattice in which the operations of join and meet distribute over each other. The prototypical examples of such structures are collections of sets for which the lattice operations can be given by set ...
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References

{{Reflist Stable matching