1 Introduction
A social choice correspondence assigns a set of alternatives to a profile of agents’ preferences. A specific social choice correspondence—for instance, a particular political election system—may have been adopted since it has some properties that are regarded as attractive, but these properties may be lost if agents behave strategically—do not vote according to their true preferences. Thus, agents should be provided with incentives in order to reach a truthful alternative, that is, an alternative assigned by the social choice correspondence to the true preference profile. This leads to the classical question of implementation, which dates back to Hurwicz (1972) and Maskin (1999): given a social choice correspondence, is there a game form such that for every preference profile the equilibrium outcomes of the resulting game coincide with the outcomes of the social choice correspondence? Here, ‘equilibrium’ may refer to Nash equilibrium or to other equilibrium concepts, for instance strong equilibrium.
Game forms in the literature used for implementing social choice correspondences can be quite complicated. Typically, they may ask agents to report complete preference profiles, and they often use integers or similar devices as part of strategies in order to endow single agents or coalitions—depending on the equilibrium concept—with sufficient possibilities to deviate, thus avoiding equilibria with outcomes that are not contained in the set assigned by the social choice correspondence. Although in the complete information context—also assumed in the present paper—agents are supposed to know all preferences, it is a demanding task for them to report complete preference profiles, and this is also not what one would ask from them in practical applications. A similar observation holds for other common ingredients of strategies, such as reporting an integer or an alternative.
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Indeed, the complexity of the message space or space of strategies is an issue that has gathered much attention in the literature (see already Mount and Reiter 1974). Saijo (1988) considers implementation where agents are ordered, and only report their own preference and the preference of the next agent, besides an alternative and an integer. Tatamitani (2001) further reduces this to reporting only one’s own preference, plus an outcome and an integer. Recently, Koray and Yildiz (2018) consider implementation via rights structures, based on an idea by Sertel (2001), which also avoids the use of integer devices. For a survey on the basics of implementation see Jackson (2001).
In the present paper we restrict our attention to direct game forms which are singlevalued selections (social choice functions) from the social choice correspondence under consideration. This means, simply, that the strategy space of each agent consists of the set of all preferences—agents do not report complete profiles, integers, or any similar or other information—and the social choice function selects (at every preference profile) from the social choice correspondence to be implemented. We consider full implementation in Nash equilibrium: the set of Nash equilibrium alternatives coincides with the set of alternatives assigned by the social choice correspondence. We do not require truthful implementation, that is, we do not require that reporting the true preferences is always a Nash equilibrium, as in Dasgupta et al. (1979).
Our main motivation for studying this case is twofold. First, considering that a social choice correspondence in vigor in a group or society is usually regarded as appropriate or desirable by its members, choosing according to a selection from it seems to be natural, both for simplicity and in order to convince agents to accept the game form (the rules of the game). In other words, since the direct mechanism used for implementing the social choice correspondence is associated with a selection from it, the mechanism carries the same ‘spirit’ as that of the correspondence.^{1} Several papers have discussed the advantages of direct game forms. For example, Hammond (1996) shows that such game forms, in which individual strategies are direct reports of their preferences, are implicit in Sen’s model of rights (Sen 1970).
Second, but related, it seems to be an obvious and natural question to establish which social choice correspondences can be implemented this way, i.e., by a direct game form selecting from the correspondence. One could call this kind of implementation ‘natural’, but this word already has different meanings in this context (e.g., Saijo et al. 1996). Therefore, we use the term ‘selfimplementation’. Also this expression, however, is not entirely new. Abdou and Keiding (1991, Sect. 6.1) informally suggest the term for partial implementation of a social choice correspondence by a selection from it. If this implementation is in strong equilibrium, then it coincides with exact and strong consistency as first studied in Peleg (1978). See also Remark 4.2.7 in Peleg (2002), where the term selfimplementation is used with the same meaning as in Abdou and Keiding (1991).
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As mentioned, we will focus attention on selfimplementation in Nash equilibrium.^{2} Moreover, we consider only social choice correspondences which are unanimous and anonymous, and only anonymous selections (social choice functions). Under these restrictions our results are as follows. Let the ‘top correspondence’ TC assign to each preference profile all alternatives that occur at top for at least one agent, and let the ‘Pareto correspondence’ PC assign all Pareto optimal alternatives. Then every anonymous and unanimous Nash selfimplementable social choice correspondence contains TC and is contained in PC.^{3,}^{4,}^{5} If there are exactly two alternatives, then TC and PC of course coincide; and we show that TC is Nash selfimplementable if and only if the number of agents is not equal to 2, 3, 4, or 6; moreover, we describe all implementing selections (Theorem 3.3). If there are exactly two agents, then no anonymous and unanimous social choice correspondence is Nash selfimplementable. These results, both for two alternatives and for two agents, can also be derived from results of Hurwicz and Schmeidler (1978), but we provide selfcontained proofs. If there are three agents and three alternatives then only TC is Nash selfimplementable. If there are at least three agents and at least four alternatives, then any correspondence containing TC plus the intersection of PC with a fixed set of alternatives is Nash selfimplementable; if this fixed set is empty then we obtain TC, and if this fixed set is the set of all alternatives then we obtain PC—it is an open question if there are still other social choice correspondences in between TC and PC that are Nash selfimplementable. The remaining case is the case with three alternatives and at least four agents: then TC is Nash selfimplementable but it is an open question whether TC is uniquely Nash selfimplementable.
To the best of our knowledge, this concept of Nash selfimplementation has not been explicitly studied in the literature, although some of our results can be derived from existing results, for instance the twoagent or twoalternatives case mentioned above. Nevertheless, as mentioned the proofs below are selfcontained. Also, the social choice correspondences prominent in this paper have occurred frequently in the literature, for instance the Pareto Correspondence only recently in Mukherjee et al. (2019).
Throughout the paper we assume that the domain of preferences is the collection of all linear orders, i.e., strict preferences, but we show in Sect. 6 that our results can easily be extended to preference domains containing also weak preferences—the main difference is that in that case selfimplementable correspondences may include weakly Pareto optimal alternatives. See Sect. 6.4 for details.
The outline of the paper is as follows. Section 2 presents the main definitions and a few basic results. Section 3 deals with the two agents or two alternatives cases. The case with at least four alternatives is presented in Sect. 4, while Sect. 5 treats the three alternatives case. Section 6 concludes with a summary and further discussion.
2 Definitions and preliminary results
Let A be the set of \(m\in {\mathbb {N}}\) alternatives, \(m \ge 2\), and let \(N = \{1,\ldots , n\}\), \(n\in {\mathbb {N}}\), \(n \ge 2\), be the set of agents. Let L be the set of preferences, i.e., reflexive, complete, antisymmetric and transitive binary relations, on A. Then \(L^N\) is the set of (preference) profiles. A social choice correspondence is a function \(H:L^N {\rightarrow } 2^A{\setminus } \{{\emptyset }\}\). A social choice function is a function \(F:L^N {\rightarrow } A\). For a social choice function F and a profile \(R^N\) we denote by \((F,R^N)\) the (ordinal) game with the agents as players who each have strategy set L, and for a (strategy) profile \(Q^N \in L^N\) the outcome (alternative) \(F(Q^N)\) is evaluated by \(R^i\) for each \(i\in N\). Profile \(Q^N\) is a Nash equilibrium of the game \((F,R^N)\) if \(F(Q^N) R^i F(Q^{N}{\setminus }\{ i \},\widetilde{Q}^i)\) for every \(i\in N\) and \(\widetilde{Q}^{i} \in L\), where \((Q^N{\setminus }\{i \}, \widetilde{Q}^i)\) is obtained from \(Q^N\) by replacing \(Q^i\) by \(\widetilde{Q}^i\).
We say that a social choice function F implements H in Nash equilibrium if for every \(R^N \in L^N\) we haveA social choice function F is a selection from a social choice correspondence H if \(F(R^N) \in H(R^N)\) for every \(R^N \in L^N\). We call social choice correspondence H (Nash) selfimplementable if (1) holds for some selection F from H.
$$\begin{aligned} H(R^N) = \{x \in A \mid x = F(Q^N) \hbox { for some Nash equilibrium }Q^N\hbox { of }(F,R^N) \}. \end{aligned}$$
(1)
For a preference \(R \in L\) the top alternative \(t(R)\in A\) is the alternative such that t(R)Rx for all \(x\in A\). The social choice correspondence TC, defined byfor all \(R^N \in L^N\) is called the top correspondence. An alternative x is Pareto optimal in \(R^N\) if there is no \(y \in A {\setminus } \{x\}\) such that \(y R^i x\) for all \(i\in N\). The correspondence PC, defined byfor all \(R^N \in L^N\) is called the Pareto correspondence. Clearly, \(TC(R^N) {\subseteq } PC(R^N)\) for all \(R^N \in L^N\).
$$\begin{aligned} TC(R^N) = \{t(R^i) \mid i \in N\} \end{aligned}$$
$$\begin{aligned} PC(R^N) = \{x \in A \mid x\hbox { is Pareto optimal in }R^N \} \end{aligned}$$
A social choice correspondence H is unanimous if for all \(R^N \in L^N\) and \(x \in A\) such that \(t(R^i)=x\) for all \(i\in N\) we have \(H(R^N)=\{x\}\). It is anonymous if for every permutation \(\pi\) of N and every \(R^N \in L^N\), we have \(H(R^N) = H(Q^N)\) where \(Q^i = R^{\pi (i)}\) for every \(i\in N\). Throughout, we will focus on unanimous and anonymous social choice correspondences. Clearly, TC and PC are unanimous and anonymous.
If a social choice correspondence H is unanimous and anonymous and F is a selection from it, then also F is unanimous, but F is not necessarily anonymous. In what follows we will always consider implementation by anonymous social choice functions. For convenience, we therefore make the following assumption throughout.
Assumption
Throughout this paper every social choice correspondence and every social choice function is unanimous and anonymous.
The following lemmas collect some basic results, which will be useful throughout. The first lemma implies that, if a selection F implements social choice correspondence H, then for every preference profile and every alternative there is an agent who can make sure that this alternative will be chosen. Furthermore, H contains all top alternatives and is contained in the set of Pareto optimal alternatives.
Lemma 2.1
Let selection F implement social choice correspondence H. Let \(R^N \in L^N\) and \(x \in A\).
(a)
There is an \(i\in N\) and \(Q^i \in L\) such that \(F(R^{N{\setminus }\{i\}},Q^i) = x\).
(b)
If \(R^i = R^j\) for all \(i,j \in N\), then there is a \(Q\in L\) such that \(F(R^{N{\setminus }\{k\}},Q) = x\) for all \(k\in N\).
(c)
\(TC(R^N) {\subseteq } H(R^N) {\subseteq } PC(R^N)\).
Proof
(a)
Let \(y = F(R^N)\). If \(y=x\) we are done. Otherwise, consider a profile \(Z^N \in L^N\) with \(t(Z^i)=x\) for all \(i \in N\) and \(y Z^i z\) for all \(z \in A {\setminus } \{x\}\) (i.e., x is ranked first and y second by every agent). Then \(H(Z^N)=\{x\}\) by unanimity, and therefore \(R^N\) is not a Nash equilibrium of \((F,Z^N)\). Hence, there is an \(i \in N\) and a \(Q^i \in L\) such that \(F(R^{N {\setminus } \{i\}},Q^i) Z^i y\), which implies that \(F(R^{N {\setminus } \{i\}},Q^i) = x\).
(b)
This follows directly from (a) and anonymity of F.
(c)
Suppose that \(z \in A {\setminus } PC(R^N)\). Then there is a \(\widetilde{z} \ne z\) such that \(\widetilde{z} R^i z\) for all \(i \in N\). If \(Z^N \in L^N\) such that \(F(Z^N) = z\), then by (a) there are \(i\in N\) and \(Q^i \in L\) such that \(F(Z^{N{\setminus }\{i\}},Q^i) = \widetilde{z}\), so that \(Z^N\) is not a Nash equilibrium in \((F,R^N)\). Hence, \(z \notin H(R^N)\), and thus \(H(R^N) {\subseteq } PC(R^N)\).
Finally, suppose that \(v \in TC(R^N)\), without loss of generality \(t(R^1)=v\). Consider now a profile \(Z^N \in L^N\) such that \(Z^i=Z^j\) and \(\widetilde{v} Z^i v\) for all \(i,j \in N\) and \(\widetilde{v} \in A\). By part (b) there is a \(\widetilde{Z}^1 \in L\) such that \(F(Z^{N {\setminus } \{1\}},\widetilde{Z}^1) = v\), and since \(F(Z^{N {\setminus } \{1\}},\widetilde{Z}^1) \in H(Z^{N {\setminus } \{1\}},\widetilde{Z}^1) {\subseteq } PC(Z^{N {\setminus } \{1\}},\widetilde{Z}^1)\) by the first part of (c) we have that \(v \widetilde{Z}^1 \widetilde{v}\) for all \(\widetilde{v} \in A\). Let \(Q^N\) be a Nash equilibrium in \((F,(Z^{N {\setminus } \{1\}},\widetilde{Z}^1))\) such that \(F(Q^N)=v\). Then we have \(F(Q^{N {\setminus } \{i\}},V^i)=v\) for all \(i \in N {\setminus } \{1\}\) and \(V^i \in L\) since \(\widetilde{v} Z^i v\) for all \(i\in N{\setminus } \{1\}\) and \(\widetilde{v} \in A\). Since, moreover, \(v = t(R^1)\), it follows that \(Q^N\) is a Nash equilibrium in \((F,R^N)\). Therefore, \(v = F(Q^N) \in H(R^N)\), and thus \(TC(R^N) {\subseteq } H(R^N)\). \(\square\)
Remark 2.2
As is well known, a necessary condition for Nash implementability of a social choice correspondence is Maskin monotonicity. Together with unanimity, Maskin monotonicity implies Pareto optimality: see Lemma 3.1 in Peleg et al. (2005). Thus, this argument provides another proof of part of the statement in Lemma 2.1(c).
The second lemma says that for every alternative x there is a collection of n preferences with one of them different from the \(n1\) other preferences, such that x is assigned by F to every profile containing that particular preference and at least \(n2\) of the other preferences.
Lemma 2.3
Let selection F implement social choice correspondence H. Let \(x \in A\). Then there are n preferences, denoted by \(P_{x,1},\ldots ,P_{x,n1},P_{x,n} \in L\), with \(P_{x,n} \ne P_{x,j}\) for all \(j \in N {\setminus } \{n\}\), such that \(F(R^N) = x\) for all \(R^N \in L^N\) for which there is a permutation \(\pi\) of N and a \(k \in N {\setminus } \{n\}\) with \(R^{\pi (n)}=P_{x,n}\) and \(R^{\pi (j)} = P_{x,j}\) for all \(j \in \{1,\ldots ,n1\} {\setminus } \{k\}\).
Proof
Let \(Z^N \in L^N\) be a profile with \(Z^i=Z^j\) and \(y Z^i x\) for all \(i,j \in N\) and \(y \in A\). By Lemma 2.1(b),(c) we have \(F(Z^{N{\setminus } \{n\}},V^n)=x\) for some \(V^n\in L\) with \(t(V^n)=x\). Let \(Q^N\) be a Nash equilibrium in \((F,(Z^{N{\setminus } \{n\}},V^n))\). Then, clearly, \(F(Q^{N{\setminus } \{i\}},V^i)=x\) for every \(i \in N {\setminus } \{n\}\) and \(V^i \in L\). Also, \(Q^n \ne Q^i\) for all \(i \in N {\setminus } \{n\}\) since otherwise by anonymity \(F(Q^{N{\setminus } \{i\}},V^i)=x\) for every \(i \in N\) and \(V^i \in L\), contradicting Lemma 2.1(a). The lemma follows by taking \(P_{x,i} = Q^i\) for every \(i \in N\) and anonymity. \(\square\)
Typically, for a strategy profile consisting of reported preferences \(P_{x,1},\ldots ,\) \(P_{x,n}\) as in Lemma 2.3, only possibly the agent who reports \(P_{x,n}\) can change the outcome from x to some other alternative, implying that this strategy profile is a Nash equilibrium whenever for that agent x is the (true) top alternative.
3 Two agents or two alternatives
3.1 Two agents
For the case of two agents we have the following impossibility result. We provide a proof, but the result also follows from a more general result in Hurwicz and Schmeidler (1978), see below.
Theorem 3.1
Let \(n=2\) and let H be a social choice correspondence. Then H is not selfimplementable.
Proof
Let F be a selection from H, and let \((R^1,R^2) \in L^N\) such that \(t(R^1) \ne t(R^2)\). Write \(x = F(R^1,R^2) \in H(R^1,R^2)\), and suppose that \((Q^1,Q^2) \in L^N\) is a Nash equilibrium in \((F,(R^1,R^2))\) such that \(F(Q^1,Q^2) = x\). We derive a contradiction, which completes the proof. By applying Lemma 2.1(b) to the profile \((Q^1,Q^1)\) it follows that \(F(Q^1,R)=t(R^2)\) for some \(R \in L\). By applying Lemma 2.1(b) to the profile \((Q^2,Q^2)\) it follows that \(F(R',Q^2)=t(R^1)\) for some \(R' \in L\). Since \((Q^1,Q^2)\) is a Nash equilibrium in \((F,(R^1,R^2))\) it follows that \(t(R^1)=x=t(R^2)\), which is the desired contradiction. \(\square\)
Remark 3.2
Hurwicz and Schmeidler (1978) require, in our terminology, the game \((F,R^N)\) to have a Nash equilibrium and moreover, they require every Nash equilibrium of \((F,R^N)\) to result in an alternative in \(PC(R^N)\), for every \(R^N \in L^N\). They show that if \(n=2\) then F has to be ‘strongly dictatorial’: this means that there is an agent who can achieve any alternative x, independent of the strategies (reported preferences) of the other agents. This is Theorem 1 in their paper. Clearly, this implies our Theorem 3.1, since strong dictatorship is ruled out by anonymity. The result of Hurwicz and Schmeidler (1978) extends to the larger class of nonstrict preferences—for this, see also the discussion in Sect. 6.
3.2 Two alternatives
In this subsection we assume \(A = \{a,b\}\), and in view of Theorem 3.1 we assume \(n \ge 3\). We say that a profile \(R^N\) is of the form \(a^k b^{nk}\) if a occurs exactly k times on top at \(R^N\), where \(0 \le k \le n\). We also use this expression to denote a(ny) profile of that form. This notation is convenient since we only consider anonymous social choice functions and correspondences. We use the expressions ab and ba for the preferences with a and b on top, respectively.
The main result in this subsection is the following theorem, which completely characterizes all selfimplementable social choice correspondences. This result can also be derived from Hurwicz and Schmeidler (1978), more precisely, from Lemmas 1 and 2 in their Sect. 5. We provide a selfcontained proof in Appendix A.
Theorem 3.3
Let \(A = \{a,b\}\).
(a)
If \(n \in \{2,3,4,6\}\) then there exists no selfimplementable social choice correspondence.
(b)
If \(n \notin \{2,3,4,6\}\) then the only selfimplementable social choice correspondence is the Pareto correspondence PC. Moreover, a selection F implements PC if and only if it satisfies the following conditions:
(i)
\(F(a^n) = F(a^1 b^{n1}) = F(a^2 b^{n2}) = a\),
(ii)
\(F(b^n) = F(a^{n1} b^1) = F(a^{n2} b^2) = b\),
(iii)
there is no \(k \in \{2,\ldots ,n2\}\) such that \(F(a^{k1},b^{nk+1}) = F(a^k b^{nk})\) \(= F(a^{k+1},b^{nk1})\).
Observe that the Pareto and top correspondences coincide in this case. Also, the implementing selection F in Theorem 3.3 is not necessarily unique. The conditions (i)–(iii) uniquely determine \(F(a^k b^{nk})\) for \(k=n3,\ldots ,n\) and for \(k=0,\ldots ,3\), but for other values of k there is freedom of choice subject to condition (iii). For \(n=5\) and \(n=7\) we have uniqueness of F, but for \(n=8\) and \(n=9\) there are each time two possibilities. For \(n=8\) we may have \(F(a^4 b^4) = a\) or \(F(a^4 b^4) = b\). For \(n=9\) we may have \(F(a^5 b^4) = a\) and \(F(a^6 b^3) = b\) or \(F(a^5 b^4) = b\) and \(F(a^6 b^3) = a\). The number of possible selections expands rapidly as n increases.^{6}
4 At least three agents and at least four alternatives
In game forms (mechanisms) that are used to implement social choice correspondences often strategies (messages) include mentioning an integer number, or sending a comparable message, in order to provide the agents with additional strategic power. Since in the case of selfimplementation agents can exclusively report a preference, in Sect. 4.1 we will label these in a convenient way in order to replace the standard integer messaging. If there are at least four alternatives then there are many different preferences and therefore many different strategies or messages. This case is treated in Sect. 4.2. The case of three alternatives requires special attention and is treated in Sect. 5.
Throughout this section we write \(A = \{x_1,\ldots ,x_m\}\) and \(M = \{1,\ldots ,m\}\). Also, for a preference \(R \in L\) we use notations such as \(R=xyz\ldots\); \(R=x_{i_1}\ldots x_{i_m}\); etc., meaning that \(x R y R z R \ldots\); \(x_{i_1} R \ldots R x_{i_m}\); etc.
4.1 Labelling preferences
In this section we describe a labelling of the preferences. In fact, this will just be alphabetic labelling, with \(x_1,\ldots ,x_m\) as the ‘alphabet’. Just for completeness, we include the formula.
For \({\emptyset } \ne M' {\subseteq } M\) and \(k \in M'\) let \(\pi (k,M')\) be the number of elements of \(M'\) smaller than or equal to k, formally: \(\pi (k,M') = \{ \ell \in M' \mid \ell \le k \}\). Observe that \(\pi (k,M)=k\) for every \(k \in M\). We defineas the label of preference \(R=x_{i_1}\ldots x_{i_m}\).
$$\begin{aligned} \nu (x_{i_1}\ldots x_{i_m}) = \sum _{\ell = 1}^m \left( \pi (i_\ell ,\{i_\ell ,\ldots ,i_m\})1\right) (m\ell )! + \pi \left( i_{m1},\{i_{m1},i_m\}\right) \end{aligned}$$
Example 4.1
(a)
Suppose \(m=3\) and let \(A=\{a,b,c\}\) with \(a=x_1\), \(b=x_2\), \(c=x_3\). The following table gives the six different preferences as columns with their top alternatives in the first row and their labels in the last row.
$$\begin{aligned} \begin{array}{ccccccc} &{}&{}&{} R &{}&{}&{} \\ \hline &{} a &{} a &{} b &{} b &{} c &{} c \\ &{} b &{} c &{} a &{} c &{} a &{} b \\ &{} c &{} b &{} c &{} a &{} b &{} a \\ \hline \nu (R) &{} 1 &{} 2 &{} 3 &{} 4 &{} 5 &{} 6 \end{array} \end{aligned}$$
(b)
Let \(A= \{a,b,c,d,e\}\) with \(a=x_1\), etc. Then preference \(R = cbaed\) has the label Preferences \(c\ldots\) have labels 49–72, preferences \(cb\ldots\) have labels 55–60, and preferences \(cba\ldots\) have the labels 55 and 56.
$$\begin{aligned} \nu (R) = (31)(51)! + (21)(52)! + (11)(53)! + 2 = 56. \end{aligned}$$
As illustrated in Example 4.1, this way of labelling has the property that all preferences that share the same top alternative(s), are labelled consecutively with no gaps. This is important later on.
For a profile \(R^N \in L^N\), we denote by \(\nu (R^N) = \sum _{i\in N} \nu (R^i)\) the sum of the labels of the preferences in \(R^N\).
4.2 At least four alternatives
Throughout this subsection, \(m \ge 4\). We will exhibit a large class of selfimplementable social choice correspondences, containing both the top and the Pareto correspondences.
For \(B {\subseteq } A\) we define the social choice correspondence \(H_B\) by \(H_B(R^N) = TC(R^N) \cup (PC(R^N) \cap B)\) for every \(R^N \in L^N\). In words, \(H_B\) assigns to each preference profile all top alternatives, and additionally all Pareto optimal alternatives that are in B. Then \(H_B\) is unanimous and anonymous. Note that \(H_B = TC\) if \(B={\emptyset }\), and \(H_B=PC\) if \(B=A\). The main result of this subsection will be that \(H_B\) is selfimplementable for every \(B {\subseteq } A\).
We first outline the main features of the proof of this result. If x is a top alternative of a profile \(R^N\), then pick an agent, say i, with that alternative at top, and consider the profile with i having x at top and the remaining alternatives in the order \(x_1,\ldots ,x_m\), and the other agents having x at top and the remaining alternatives in the order \(x_m,\ldots ,x_1\). To this profile x is assigned, also still if one of the agents other than i reports a different preference. Hence, this is a Nash equilibrium. Next, if \(x\in B\) is Pareto optimal but not a top alternative at \(R^N\), then we partition the remaining alternatives in k subsets for k different agents, and let each of these k agents have x at top, the alternatives in that agent’s part of the partition at bottom in the order \(x_1,\ldots ,x_m\), and the remaining alternatives in between, in the order \(x_1,\ldots ,x_m\). All the other agents report x at top and the other alternatives in the order \(x_m,\ldots ,x_1\). To this profile x is assigned; an agent in the first category may deviate but can only obtain an alternative from that agent’s bottom part or x, while an agent of the second category can deviate but the chosen outcome will still be x. This is going to be a Nash equilibrium if the partition is chosen in the right way, ensuring that each agent in the first category prefers x to the bottom set of alternatives—this is possible since x is Pareto optimal, hence for each alternative there is an agent preferring x to that alternative. All other cases are taken care of by picking from the reported top alternatives by modulo counting using the numbers \(\nu (R^N)\), and will never result in a Nash equilibrium.
We now proceed with the formal treatment. If a subset B of A is used in the notation of a preference R, e.g., \(R = \ldots B \ldots\), this means that each alternative of \(A {\setminus } B\) is ranked either above or below the alternatives of B, and that the alternatives of B are ranked consistently with the order \(x_1\ldots x_m\): that is, if \(x_j,x_k \in B\) and \(j < k\) then \(x_j R x_k\). The notation \(R = \ldots \overline{B} \ldots\) has a similar meaning except that now the alternatives of B are ranked in reverse order: if \(x_j,x_k \in B\) and \(j < k\) then \(x_k R x_j\).
For each \(x\in A\) let \(P_x = x\,A{\setminus }\{x\} \in L\) and \(\overline{P}_x = x\,\overline{A{\setminus }\{x\}} \in L\). Thus, \(P_x\) has x as top alternative and ranks the remaining alternatives in the order \(x_1,\ldots ,x_m\). Also \(\overline{P}_x\) has x as top alternative, but ranks the remaining alternatives in reverse order.
Let \(x \in A\), \({\emptyset } \ne K {\subseteq } N\), and let \((B_i)_{i\in K}\) be a partition of \(A{\setminus }\{x\}\), i.e., \(B_i\ne {\emptyset }\) for every \(i\in K\), \(\cup _{i\in K} B_i = A{\setminus }\{x\}\) and \(B_i \cap B_j = {\emptyset }\) for all distinct \(i,j\in K\). We call \(R^N\in L^N\) an \((x,(B_i)_{i\in K})\)profile ifIn words, for an agent \(i \in K\), in \(R^i\) the top alternative is x, next the alternatives that are not in \(B_i\) are ranked in the order \(x_1\ldots x_m\), and finally the alternatives in \(B_i\) are ranked in the same order. Any agent not in K ranks x again at top, but all remaining alternatives in reverse order.

\(R^i = x\, (A{\setminus }(B_i \cup \{x\}))\, B_i\) for every \(i\in K\), and

\(R^i = \overline{P}_x\) for every \(i \in N{\setminus } K\).
We first show that in an \((x,(B_i)_{i\in K})\)profile the set K and the sets \(B_i\) are uniquely determined.
Lemma 4.2
Let \(R^N\) be an \((x,(B_i)_{i\in K})\)profile and also an \((x,(B'_i)_{i\in K'})\)profile. Then \(K=K'\), and \(B_i = B'_i\) for each \(i\in K\).
Proof
First observe that, since \(m \ge 4\), by definition of the preferences we have \(N{\setminus } K = N {\setminus } K'\), and thus also \(K = K'\). Next, the only possible preference of an agent \(i \in K\) where \(B_i\) and \(B'_i\) could be different would be a preference \(R^i = x (A {\setminus } \{x\})\), but then there can be only one such preference in \(R^K\) (since such preferences share the same bottom alternative), so that \(B_i = (A {\setminus } \{x\}) {\setminus } \cup _{\ell \in K {\setminus }\{i\}} B_\ell = (A {\setminus } \{x\}) {\setminus } \cup _{\ell \in K' {\setminus }\{i\}} B'_\ell = B'_i\). \(\square\)
In view of Lemma 4.2, if \(R^N\) is an \((x,(B_i)_{i\in K})\)profile, we can call it the \((x,(B_i)_{i\in K})\)profile.
Fix \(B {\subseteq } A\). We define the anonymous selection \(F_B\) from \(H_B\) (actually, from the top correspondence) as follows. Let \(R^N \in L^N\). Observe that the four cases in the definition of \(F_B\) are mutually exclusive and that \(F_B\) is a unanimous and anonymous selection from the top correspondence and therefore also from \(H_B\). Also observe that (1.1) treats the case of an \((x,(B_i)_{i\in K})\)profile for \(K=1\), but has been defined separately both for clarity and since it applies also for \(x \notin B\). Note that if, in the situation of (1.1), player i deviates, then (1.4) applies, so that player i can achieve any alternative other than x as well.
(1.1)
If there are \(x \in A\) and distinct \(i,j\in N\) such that \(R^i = P_x\) and \(R^k = \overline{P}_x\) for all \(k \in N {\setminus } \{i,j\}\), then \(F_B(R^N)=x\).
(1.2)
If there are \(x\in B\), \(K {\subseteq } N\) with \(K\ge 2\), a partition \((B_i)_{i\in K}\) of \(A {\setminus } \{x\}\), and \(j \notin K\) such that \((R^{N{\setminus }\{j\}},\overline{P}_x)\) is the \((x,(B_i)_{i\in K})\)profile, then \(F_B(R^N)=x\).
(1.3)
If there are \(x\in B\), \(K {\subseteq } N\) with \(K\ge 2\), a partition \((B_i)_{i\in K}\) of \(A {\setminus } \{x\}\), and \(j \in K\) such that \((R^{N{\setminus }\{j\}},x\, (A{\setminus }(B_j \cup \{x\}))\, B_j)\) is the \((x,(B_i)_{i\in K})\)profile, then
$$\begin{aligned}F_B(R^N) = \left\{ \begin{array}{ll} t(R^j) &{} \hbox {if }t(R^j)\in B_j \\ x &{} \hbox {otherwise.} \end{array} \right. \end{aligned}$$
(1.4)
Otherwise, let \(TC(R^N) = \{x_{j_1},\ldots ,x_{j_t}\}\) with \(j_1< \ldots < j_t\), then \(F_B(R^N) = x_{j_s}\) where \(s = 1 + [\nu (R^N)\!\!\mod t ]\).
It is also important to observe that, if (1.4) applies, then any player i can achieve any alternative by putting it on top and choosing the ‘right’ preference, as explained in Sect. 5.1: there are \((m1)!\) possibilities, and \((m1)! > m\) since \(m\ge 4\). To illustrate in more detail how this works, we consider an (arbitrary) example with four agents and four alternatives \(x_1=a\), \(x_2=b\), \(x_3=c\), and \(x_4=d\). Let the preference profile beand suppose that agent 1 wants c to be chosen from the top elements a, b, c. The preferences of agents 2, 3, and 4 have labels 6, 8, and 11, respectively, according to the formula in Sect. 4.1, hence in total 25. In order to achieve c, the third top element of the profile according to the order abcd, we need in (1.4) that \(3 = 1 + [\nu (R^N)\!\!\mod 3]\). By choosing the preference cabd, which has label 13, we obtain \(1+[38\!\!\mod 3] = 3\), as desired. In fact, cbda, which has label 16, would also work.
$$\begin{aligned} \begin{array}{cccc} 1 &{} 2&{} 3 &{} 4 \\ \hline c &{} a &{} b &{} b \\ \cdot &{} d &{} a &{} d \\ \cdot &{} c &{} d &{} a \\ \cdot &{} b &{} c &{} c \end{array} \end{aligned}$$
Our main result for this case is as follows.
Theorem 4.3
\(F_B\) implements \(H_B\).
Proof
(a)
Let \(R^N \in L^N\) and \(x \in H_B(R^N)\). We show that there is a Nash equilibrium in \((F_B,R^N)\) resulting in x.
If \(x \in TC(R^N)\), then take \(i\in N\) such that \(t(R^i)=x\), and consider the profile \(Q^N\) with \(Q^i = P_x\) and \(Q^j = \overline{P}_x\) for all \(j \in N {\setminus } \{i\}\). Then, by (1.1), \(F_B(Q^N)=x\), and again by (1.1) and the fact that \(t(R^i)=x\), we have that \(Q^N\) is a Nash equilibrium in \((F_B,R^N)\).
If \(x \notin TC(R^N)\), then \(x \in PC(R^N) \cap B\). For each agent \(i \in N\) let \(L(x,R^i)\) denote the strict lower contour set of x at \(R^i\), that is, \(L(x,R^i) = \{ y \in A {\setminus } \{x\} \mid x R^i y\}\). Define \(B_1 = L(x,R^1)\), \(B_2 = L(x,R^2) {\setminus } B_1\), ..., and in general \(B_i = L(x,R^i) {\setminus } (B_1 \cup \ldots \cup B_{i1})\) for every \(i \in N\). Let \(K = \{ i \in N \mid B_i \ne {\emptyset }\}\). Since \(x \in PC(R^N)\), we have \(\cup _{i\in N} L(x,R^i) = A {\setminus } \{x\}\), and in turn this implies that \((B_i)_{i\in K}\) is a partition of \(A {\setminus } \{x\}\). Now let \(Q^N\) be the \((x,(B_i)_{i\in K})\)profile. Observe that \(K\ge 2\). Then \(F_B(Q^N)=x\) by (1.2) or (1.3). By (1.2), \(F_B(Q^{N{\setminus }\{i\}},V^i)=x\) for every \(i \notin K\) and \(V^i \in L\). By (1.3), \(F_B(Q^{N{\setminus }\{i\}},V^i) \in \{x\} \cup B_i {\subseteq } \{x\} \cup L(x,R^i)\) for every \(i \in K\) and \(V^i \in L\). Hence, \(Q^N\) is a Nash equilibrium in \((F_B,R^N)\).
(b)
Let \(x \in A\) and \(Q^N, R^N \in L^N\) such that \(x \in F_B(Q^N)\) and \(x \notin H_B(R^N)\). We show that \(Q^N\) is not a Nash equilibrium in \((F_B,R^N)\). Note that \(x \notin TC(R^N)\).
If (1.1) applies to \(Q^N\), then for the agent i in (1.1) there is a \(V^i \in L\) such that \(t(V^i) = t(R^i)\) and \(F_B(Q^{N{\setminus }\{i\}},V^i) = t(V^i)\) by (1.4). Since \(t(R^i) R^i x\) and \(t(R^i) \ne x\), this implies that \(Q^N\) is not a Nash equilibrium in \((F_B,R^N)\).
If (1.1) does not apply to \(Q^N\) and \(x \notin B\), then similarly every agent \(i \in N\) can achieve \(t(R^i)\) by (1.4), so that again \(Q^N\) is not a Nash equilibrium in \((F_B,R^N)\).
Finally, suppose that (1.1) does not apply to \(Q^N\) and \(x \in B\). Then \(x \notin PC(R^N)\), which implies that there exists \(y \in A {\setminus } \{x\}\) such that \(y R^i x\) for all \(i \in N\). If (1.2) or (1.3) applies, then there is an agent \(i \in K\) such that \(y \in B_i\). If (1.2) applies, then agent i can achieve y by (1.3) or by (1.4). If (1.3) applies, then i can achieve y by (1.3). Hence, in each case, \(Q^N\) is not a Nash equilibrium in \((F_B,R^N)\). \(\square\)
As already announced, by taking \(B={\emptyset }\) or \(B=A\) we obtain the following corollary of Theorem 4.3.
Corollary 4.4
TC and PC are selfimplementable.
It is an open problem whether there are selfimplementable social choice correspondences (necessarily between Top and Pareto) which are not of the form \(H_B\).
5 Three alternatives
The case of three alternatives is more subtle, due to the fact that there are less different preferences and, thus, less different labels available for implicit messaging.
As in the previous section, \(A=\{x_1,\ldots ,x_m\}\), with now \(m=3\). Throughout, however, we write \(a = x_1\), \(b = x_2\), and \(c = x_3\). We repeat the table of Example 4.1:We first consider the top correspondence and next the Pareto correspondence.
$$\begin{aligned} \begin{array}{ccccccc} &{} P_a &{} \overline{P}_a &{} P_b &{} \overline{P}_b &{} P_c &{} \overline{P}_c \\ \hline &{} a &{} a &{} b &{} b &{} c &{} c \\ &{} b &{} c &{} a &{} c &{} a &{} b \\ &{} c &{} b &{} c &{} a &{} b &{} a \\ \hline \nu (R) &{} 1 &{} 2 &{} 3 &{} 4 &{} 5 &{} 6 \end{array} \end{aligned}$$
5.1 The top correspondence
Theorem 4.3 still holds for \(m=3\) and the top correspondence, i.e., \(H_{\emptyset }\), but needs a different proof. The implementing selection is still \(F_B\) for \(B={\emptyset }\). Its definition simplifies as follows. Let \(R^N \in L^N\). Note that (2.1) corresponds to (1.1) in the general definition of \(F_B\), and (2.2) corresponds to (1.4).
(2.1)
If there are \(x \in A\) and distinct \(i,j\in N\) such that \(R^i = P_x\) and \(R^k = \overline{P}_x\) for all \(k \in N {\setminus } \{i,j\}\), then \(F_{\emptyset }(R^N)=x\).
(2.2)
Otherwise, let \(TC(R^N) = \{x_{j_1},\ldots ,x_{j_t}\}\) with \(j_1< \ldots < j_t\), then \(F_{\emptyset }(R^N) = x_{j_s}\) where \(s = 1 + [\nu (R^N)\!\!\mod t ]\).
We how have:
Theorem 5.1
Let \(m=3\) and \(n \ge 3\). Then \(F_{\emptyset }\) implements TC.
Proof
(i)
Let \(R^N \in L^N\) and let \(x \in TC(R^N)\). Take an agent \(i \in N\) such that \(t(R^i)=x\), and let \(Q^N\) be the profile with \(Q^i = P_x\) and \(Q^j = \overline{P}_x\) for all \(j \in N {\setminus } \{i\}\). As in the proof of Theorem 4.3 it follows that \(Q^N\) is a Nash equilibrium in \((F_{\emptyset },R^N)\) with \(F_{\emptyset }(Q^N)=x\).
(ii)
For the converse, suppose that \(Q^N\) is a Nash equilibrium in \((F_{\emptyset },R^N)\) for some \(Q^N,R^N \in L^N\). Without loss of generality let \(F_{\emptyset }(Q^N) = a\). We wish to show that \(a \in TC(R^N)\). Suppose not. Then without loss of generality a is ranked second everywhere at \(R^N\), hence for every agent i, \(R^i = P_b\) or \(R^i=P_c\). We distinguish cases according to \(Q^N\) and show that in each case we have a contradiction. In these cases we assign specific roles to agents, which is without loss of generality in view of Anonymity. As before, we denote \(\nu (Q^N) = \sum _{i\in N} \nu (Q^i)\), i.e., the sum of the labels of the preferences in \(Q^N\).
(1)
\(Q^1 = P_a\), \(Q^2 = \ldots = Q^{n1} = \overline{P}_a\). We consider the following subcases.
(1a)
\(Q^n = P_a\). Then for each agent \(i \in \{2,\ldots ,n1\}\) we have \(F_{\emptyset }(Q^{N {\setminus } \{i\}}, V^i) = b\) for \(V^i = P_b\), and \(F_{\emptyset }(Q^{N {\setminus } \{i\}}, V^i) = c\) for \(V^i = P_c\).
(1b)
\(Q^n = \overline{P}_a\). Similar to case (1a) but now for agent 1.
(1c)
\(Q^n \in \{\overline{P}_b,P_b\}\). Then for each agent \(i \in \{1,\ldots ,n1\}\) we have \(F_{\emptyset }(Q^{N {\setminus } \{i\}},\) \(V^i) = b\) for \(V^i = \overline{P}_b\) or \(V^i = P_b\). Now suppose that \(R^1=\ldots =R^{n1}= P_c\) and \(R^n \in \{P_b,P_c\}\), and suppose that \(F_{\emptyset }(\overline{P}_c,Q^{N{\setminus } \{1\}}) \ne c\) and \(F_{\emptyset }(P_c,Q^{N{\setminus } \{1\}}) \ne c\). This implies that \((\nu (Q^N)  1 +5) \mod 3 = 0\) and \((\nu (Q^N)  1 + 6) \mod 3 = 1\). In this case, let agent 2 deviate to \(P_c\). Then \((\nu (Q^N) 2 +5) \mod 3 = 2\), implying that \(F_{\emptyset }(Q^{N{\setminus } \{2\}},P_c) = c\).
(1d)
\(Q^n \in \{\overline{P}_c,P_c\}\). Then for each agent \(i \in \{1,\ldots ,n1\}\) we have \(F_{\emptyset }(Q^{N {\setminus } \{i\}},\) \(V^i) = c\) for \(V^i = \overline{P}_c\) or \(V^i = P_c\). Now suppose that \(R^1=\ldots =R^{n1}= P_b\) and \(R^n \in \{P_b,P_c\}\), and suppose that \(F_{\emptyset }(\overline{P}_b,Q^{N{\setminus } \{1\}}) \ne b\) and \(F_{\emptyset }(P_b,Q^{N{\setminus } \{1\}}) \ne b\). This implies that \((\nu (Q^N)  1 + 3) \mod 3 = 2\) and \((\nu (Q^N)  1 + 4) \mod 3 = 0\). In this case, let agent 2 deviate to \(P_b\). Then \((\nu (Q^N) 2 + 3) \mod 3 = 1\), implying that \(F_{\emptyset }(Q^{N{\setminus } \{2\}},P_b) = b\).
(2)
\(Q^N\) is not of the form as in (1). We consider the following subcases.
(2a)
\(TC(Q^N)=\{a\}\). Then, if \(Q^i = \overline{P}_a\) for some \(i \in N\) then \(F_{\emptyset }(Q^{N {\setminus } \{i\}}, V^i) = b\) for either \(V^i = \overline{P}_b\) or \(V^i = P_b\), and \(F_{\emptyset }(Q^{N {\setminus } \{i\}}, V^i) = c\) for either \(V^i = \overline{P}_c\) or \(V^i = P_c\). Otherwise, the same holds for every \(i \in N\).
(2b)
\(TC(Q^N)=\{a,b\}\). Then for every \(i \in N\) there is \(V^i \in L\) such that \(F_{\emptyset }(Q^{N{\setminus } \{i\}},V^i) = b\). Now suppose that \(R^i = P_c\) for every \(i \in N\). If, at \(Q^N\), there is a unique agent i with \(Q^i \in \{\overline{P}_b,P_b\}\), then that agent has \(V^i\in L\) such that \(F_{\emptyset }(Q^{N{\setminus } \{i\}},V^i) = c\). Suppose there are at least two agents at \(Q^N\) who have b on top. Suppose \(Q^i = P_b\) for some \(i \in N\). Then \(\nu (Q^{N{\setminus }\{i\}},P_c) \mod 3 = (\nu (Q^N) 3 +5) \mod 3 =2\), so that \(F_{\emptyset }(Q^{N{\setminus }\{i\}},P_c) = c\). Otherwise there is an agent \(i\in N\) with \(Q^i = \overline{P}_b\). In that case, \(\nu (Q^{N{\setminus }\{i\}},\overline{P}_c) \mod 3 = (\nu (Q^N) 4 +6) \mod 3 =2\), so that \(F_{\emptyset }(Q^{N{\setminus }\{i\}},\overline{P}_c) = c.\)
(2c)
\(TC(Q^N) = \{a,c\}\). This case is almost identical to case (2b) by switching the roles of b and c.
(2d)
\(TC(Q^N) = \{a,b,c\}\). Then each for agent \(i \in N\) with \(t(Q^i)=a\) there are \(V^i,W^i\) such that \(F_{\emptyset }(Q^{N{\setminus } \{i\}}),V^i) = b\) and \(F_{\emptyset }(Q^{N{\setminus } \{i\}}),W^i) = c\). \(\square\)
5.2 The Pareto correspondence
The following result implies that the Pareto correspondence is not selfimplementable if, besides \(m=3\), also \(n=3.\)
Theorem 5.2
Let \(m=n=3\) and let the social choice correspondence H be selfimplementable. Then H is the top correspondence.
Proof
Let the selection F implement H in Nash equilibrium. Let \(Q^N, R^N \in L^N\) such that, without loss of generality, \(F(Q^N) = c \notin TC(R^N)\). In view of Lemma 2.1 it is sufficient to show that \(Q^N\) is not a Nash equilibrium in \((F,R^N)\) for \(R^N = (\overline{P}_a,\overline{P}_a,\overline{P}_b)\). Let \(\{ P_{x,i} \mid x \in \{a,b\},\ i \in N\}\) be a collection of preferences as in Lemma 2.3. If \(Q^1 \in \{P_{a,i} \mid i \in N\}\) then \(F(Q^1,V^2,Q^3) = a\) for some \(V^2 \in \{P_{a,i} \mid i \in N\}\), so that \(Q^N\) is not a Nash equilibrium in \((F,R^N)\). A similar argument holds if \(Q^1 \in \{P_{b,i} \mid i \in N\}\) and if \(Q^2 \in \{P_{x,i} \mid i \in N,\ x\in \{a,b\}\}\). If \(Q^1 = Q^2\) then by Lemma 2.1(b), \(F(Q^1,Q^2,V^3)=b\) for some \(V^3 \in L\), so again \(Q^N\) is not a Nash equilibrium in \((F,R^N)\). Hence, \(Q^1 \ne Q^2\). If \(Q^1 = P_{c,3}\) or \(Q^2 = P_{c,3}\) then \(F(Q^1,Q^2,V^3)=c\) for every \(V^3 \in L\). By Lemma 2.1(a) this implies that there is a \(V^1 \in L\) with \(F(V^1,Q^2,Q^3)=a\) or a \(V^2 \in L\) with \(F(Q^1,V^2,Q^3)=a\), and in both cases \(Q^N\) is not a Nash equilibrium in \((F,R^N)\). If both \(Q^1 \ne P_{c,3}\) and \(Q^2 \ne P_{c,3}\) then \(F(V^1,Q^2,P_{c,3}) = F(Q^1,V^2,P_{c,3}) = c\) for all \(V^1,V^2 \in L\). By Lemma 2.1(a) this implies that there is a \(V^3 \in L\) such that \(F(Q^1,Q^2,V^3)=b\), so that also in this case \(Q^N\) is not a Nash equilibrium in \((F,R^N)\). \(\square\)
The case of more than three agents is still open. In other words, for \(m=3\) and \(n\ge 4\), does there exist a selfimplementable social choice correspondence H with \(H \ne TC\) and \(TC(R^N) {\subseteq } H(R^N) {\subseteq } PC(R^N)\) for all \(R^N \in L^N\)?
6 Summary and further discussion
The following table summarizes the results of the paper. A \(\ominus\) sign means nonexistence of a unanimous and anonymous social choice correspondence Nash implementable by an anonymous selection. The question marks indicate the open problems mentioned earlier.
m  \(n=2\)  \(n=3\)  \(n\ge 4\) 

2  \(\ominus\)  \(\ominus\)  \(\ominus\) for \(n=4,6\); \(PC=TC\) otherwise 
3  \(\ominus\)  Only TC  TC, more? 
\(\ge 4\)  \(\ominus\)  \(F_B\) (including TC, PC), more?  \(F_B\) (including TC, PC), more? 
In the following subsections we discuss, respectively, the assumption of selfimplementation, the roles of unanimity and anonymity, selfimplementation in strong equilibrium, and the role of the preference domain.
6.1 The selfimplementation assumption
In this subsection we further discuss the requirement that the implementing social choice function be a selection from the social choice correspondence that is to be implemented, in other words, the selfimplementation assumption. We do this by providing two examples. The first example is an implementation of TC by a social choice function that does not always select from TC, and thus shows the (not surprising) fact that a selfimplementable social choice correspondence may be implementable by a direct mechanism that is not a selection. The second example shows that a subcorrespondence of TC may be implementable by a direct mechanism that is not a selection.
In both examples, as before, \(A = \{x_1,\ldots ,x_m\}\).
Example 6.1
Let \(n \ge 3\), \(m \ge 4\), and consider the social choice function \({\hat{F}}\) defined as follows. Then \({\hat{F}}\) Nashimplements TC, which can be seen by adding to the proof of Theorem 4.3 the consideration that a profile \(R^N\) as in (i) cannot be a Nash equilibrium in the game \((F,Q^N)\) for any \(Q^N \in L^N\). However, \({\hat{F}}\) is not a selection from TC.
(i)
\({\hat{F}}(R^N)=x_2\) if \(R^N\) is a profile such that there is one agent with preference \(x_1 x_2 x_3 x_4\ldots x_m\) and all other agents have preference \(x_1 x_3 x_2 x_4\ldots x_m\).
(ii)
\({\hat{F}}(R^N)=F_{\emptyset }(R^N)\) otherwise, where \(F_{\emptyset }\) is defined by (2.1) and (2.2).
Example 6.2
Let \(n \ge 3\), \(m \ge 4\), and let the social choice correspondence H be defined byfor all \(R^N \in L^N\). We define the social choice function \(\widetilde{F}\) as follows. Let \(R^N \in L^N\), and denote \(\nu (R^N) = \sum _{i=1}^n \nu (R^i)\). By adding to the proof of Theorem 4.3 the consideration that a profile as in case (1a) can only be a Nash equilibrium if every agent has \(x_1\) as top alternative in the true profile, we see that \(\widetilde{F}\) implements H. However, (2) implies that \(\widetilde{F}\) is not a selection from H.
$$\begin{aligned} H(R^N) = \left\{ \begin{array}{ll} \{x_1\} &{} \hbox { if } t(R^i)=x_1\hbox { for all }i\in N \\ TC(R^N) {\setminus } \{x_1\} &{} \hbox {otherwise} \end{array} \right. \end{aligned}$$
(1a)
If there is \(\ell \in N\) such that \(R^\ell = P_{x_1}\) and \(R^i = \overline{P}_{x_1}\) for all \(i \in N {\setminus } \{\ell \}\), then \(\widetilde{F}(R^N) = x_1\).
(1b)
If there is \(j \in \{2,\ldots ,m\}\) and distinct \(\ell ,\ell ' \in N\) such that \(R^\ell = P_{x_j}\) and \(R^i = \overline{P}_{x_j}\) for all \(i \in N {\setminus } \{\ell ,\ell '\}\), then \(\widetilde{F}(R^N) = x_j\).
(2)
Otherwise, if \(TC(R^N) = \{x_{j_1},\ldots ,x_{j_t}\}\) with \(j_1< \ldots < j_t\), then \(\widetilde{F}(R^N) = x_{j_s}\) where \(s = 1 + \left( \nu (R^N)\mod t \right)\).
6.2 Unanimity and anonymity
Throughout we have assumed that every social choice function and every social choice correspondence in this paper is unanimous and anonymous. If we drop unanimity, then (as an extreme example) the social choice correspondence H, defined by \(H(R^N)=\{x\}\) for every \(R^N\in L^N\), where \(x\in A\) is fixed, is anonymous and selfimplementable by the (unique) selection F with \(F(R^N)=x\). If we drop anonymity, then the (dictatorial) social choice correspondence D, defined by \(D(R^N)=\{t(R^1)\}\) for every \(R^N\in L^N\) is unanimous and selfimplementable by the (unique) selection F with \(F(R^N)=t(R^1)\).
6.3 Selfimplementation in strong equilibrium
Selfimplementation in strong equilibrium requires that for a selection F from a social choice correspondence H, the set of strong equilibrium alternatives in the game \((F,R^N)\) coincides with \(H(R^N)\) for every \(R^N\in L^N\), where strong equilibrium means that no subset of agents can profitably deviate. This condition is much more demanding, and has been studied in Peleg and Peters (2019). Under similar conditions as in the present paper, and if additionally the number of agents is strictly higher than the number of alternatives, this results in a (Pareto optimal) social choice correspondence based on socalled feasible elimination procedures, which were introduced in the seminal paper by Peleg (1978). Roughly, these elimination procedures consists of successive vetoing of bottom alternatives in a preference profile. For details see Peleg and Peters (2019).
6.4 Preference restrictions
Throughout the paper we have assumed that the domain of preferences is the set of all linear orders L (reflexive, complete, antisymmetric, and transitive binary relations). In this subsection we discuss how this domain can be varied. Let W denote the set of all weak orders, that is, reflexive, complete and transitive binary relations.
First, consider any domain \(\widetilde{W} {\subseteq } W\) satisfying the following two assumptions: (i) for all distinct \(x,y \in A\) there is an \(R \in \widetilde{W}\) such that xPyRz for all \(z\in A{\setminus }\{x,y\}\), where P denotes the asymmetric part of R, and (ii) for every \(x\in A\) there is an \(R \in \widetilde{W}\) such that zPx for all \(z \in A{\setminus }\{x\}\). On such a domain, the basic results in Sect. 2 remain valid, provided that in Lemma 2.1(c) we replace \(PC(R^N)\) by \(WPC(R^N)\), where \(x \in WPC(R^N)\) if and only if there is no alternative y satisfying \(yP^ix\) for every \(i\in N\); thus, provided we weaken Pareto optimality of the social choice correspondence H to weak Pareto optimality. This claim can be checked by going over the proofs. A special case is the original case \(\widetilde{W}=L\): then, of course, \(WPC(R^N)=PC(R^N)\). Another special case is the case \(\widetilde{W}=W\), the set of all weak preferences.
The main result of the paper, Theorem 4.3, holds (at least) for any domain \(\widetilde{W}\) satisfying \(L {\subseteq } \widetilde{W} {\subseteq } W\), again provided that we replace \(PC(R^N)\) by \(WPC(R^N)\): hence, \(H_B(R^N)=TC(R^N)\cup (WPC(R^N)\cap B)\) for every \(R^N\in \widetilde{W}^N\). In order to achieve this, the following modification to the definition of \(F_B\) has to be made. In (1.3) and (1.4) of this definition we now choose a top alternative of an agent according to a fixed order, say \(x_1,\ldots ,x_m\), since a preference can have more than one top alternative. As to defining the number \(\nu (R^N)\) for the modulo game, this can be done in the same way, but by only considering the strict preferences in a profile. Again, our claim can be checked by going over the proof.
The impossibility result for \(n=2\) in Sect. 3 also holds for W instead of L. The result for \(m=2\) still holds for W – then the top and weak Pareto correspondences coincide. Finally, Theorem 5.1 still holds for W (with a simpler proof since additional labels are now available, also using preferences with indifference).
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