1 Introduction

The expected utility model has been part of the standard toolkit of economics ever since (von Neumann & Morgenstern, 1947)’s seminal work on the theory of games. Two key implications of the expected utility preferences are well-known, the independence and continuity axioms. In this paper, we derive a number of expected utility theorems using different forms of independence and continuity axioms.

In satisfying above objectives, two fundamental representation results are illuminating: one by von Neumann and Morgenstern (1947) and another by Herstein and Milnor (1953). These two results characterize the same expected utility model, but with a certain tradeoff between them: the von Neumann and Morgenstern (1947) result uses an order-theoretic Archimedean continuity, but requires a stronger independence (IND), while the Herstein and Milnor (1953) result uses a weaker independence, but requires a topological mixture continuity. This suggests that while weakening or strengthening the continuity axiom, we may consider a suitable independence axiom to characterize the expected utility model.

We start our analysis by noting that the independence axiom can be decomposed into a number of weaker axioms (Proposition 1): translation independence (tIND) together with scale independence (sIND) or betweenness (BET). While violations of tIND reflect the common consequence effect and violations of sIND coincide with the common ratio effect, the BET axiom is compatible with these two effects.Footnote 1 Moreover, although sIND or BET together with tIND imply IND, we note that the two of them together (sIND and BET) do not necessarily imply IND (Example 1). However, we also show that when these two axioms are equipped with a novel weak continuity (wCON) axiom, then the preference order has an expected utility representation (Theorem 1). This result shows that under wCON, the IND axiom is equivalent to any two of the three weaker independence axioms, tIND, sIND, and BET.

Next, we consider a strong continuity (sCON) axiom, which is a topological mixture continuity that implies wCON. By Proposition 1 and Theorem 1, we know that any two of the weaker independence conditions, tIND, sIND, and BET, can be equivalent to IND under the weak continuity axiom. By employing sCON, we further show that tIND must be equivalent to sIND and BET together. That is, under sCON, the tIND axiom becomes equivalent to IND implying that we can weaken the IND axiom using tIND (or sIND and BET together) to obtain an expected utility representation. In fact, we show that when sCON is assumed, a substantially weaker form of these axioms can be used, in which the mixture weight is fixed at 1/2 (Theorem 2).

The tIND axiom is related to the weak certainty independence axiom used by Maccheroni et al. (2006) who appeal to Herstein and Milnor (1953) to obtain a linear representation. A weaker form of the sIND axiom was used by Safra and Segal (1998) and Diecidue et al. (2009) to characterize rank-dependent utility models. The sIND axiom is also related to the best-outcome independence axiom of Maccheroni (2002) who derives a non-expected utility model that takes the minimum of a set of expected utilities. The BET axiom is used by Chew (1983), Dekel (1986), and Gul (1991) to obtain non-expected utility models allowing for common consequence and ratio effects. Shapley and Baucells (1998) and Dubra et al. (2004) use the sCON axiom together with IND while dropping completeness to obtain a multi-expected utility representation. Our approach of obtaining an expected utility representation differs from these works, especially for Theorem 1, since we use wCON and BET axioms to obtain an indifference set and use the sIND axiom to conclude that all possible indifference sets must be parallel to each other implying that there is an expected utility representation.

The rest of the paper is organized as follows. In Sect. 2, we introduce the framework. Section 3 provides a brief overview of some of the earlier expected utility theorems. In Sect. 4, we provide our analysis of the expected utility by employing different forms of independence and continuity axioms. In Sect. 5, we discuss the relation of independence and continuity axioms in varying degrees of strength together with a diagram depicting all implications discussed in this paper. Proofs of all results including observations noted by examples are provided in an Appendix.

2 Framework

Let I denote the set \(\{1,2,...,n\}\) and let \(I_{0}=I\cup \{0\}\), where \(n\ge 2\). In the following, X is a finite set of \(n+1\) prizes, with typical elements \(x_{i}\in X\) for \(i\in I_{0}\) called outcomes; P is the set of all probability distributions on X with typical elements \(p,q,r\in P\) called lotteries.Footnote 2 With slight abuse of notation, we denote a lottery yielding an outcome \(x\in X\) for sure by \(x\in P\). We denote by \(p_{i}\) the probability of outcome \(x_{i}\) under lottery p. For any \(\alpha \in [0,1]\), let \(p\alpha q\) denote a mixed-lottery, which is the mixture of lotteries p and q. That is, \(p\alpha q\) is the lottery \(r\in P\) such that \(r_{i}=\alpha p_{i}+(1-\alpha )q_{i}\) for all \(i\in I_{0}\).

Our primitive is a binary relation \(\succsim\) on the set of lotteries, with asymmetric part denoted as \(\succ\) and symmetric part denoted as \(\sim\). We interpret this binary relation \(\succsim\) as the DM’s risk preferences and assume that it is a preference order (i.e., a complete and transitive binary relation). We also assume that the outcomes are ordered such that \(x_{n}\succ p\succ x_{0}\) for any \(p\in P\) with \(p_{i}>0\) for some \(i\in I\setminus \{n\}\). Without loss of generality, assume that \(x_{i}\succsim x_{j}\) if and only if \(i\ge j\). Let \(U\) denote the set of normalized utilities that are monotone with respect to the DM’s preferences \(\succsim\) over X; that is, \(x_{i}\succ x_{j}\) if and only if \(u_{i}>u_{j}\). More formally, let \(U =\{u\in \mathbb {R}^{n+1}:u_{0}=0,\,u_{n}=1,\,u_{i}>u_{j}\;\text {iff}\;x_{i}\succ x_{j}\}\).

For any \(p\in P\) and \(u\in \mathbb {R}^{n+1}\), let u(p) denote the product \(u\cdot p\in \mathbb {R}\). In particular, when \(u\in U\), let \(u(p)\in [0,1]\) denote the expected utility of p under u. We say that \(\succsim\) has a representation if there exists a function \(f:P\rightarrow \mathbb {R}\) such that \(p\succ q\) if and only if \(f(p)>f(q)\). We say f is an expected utility representation if there exists \(u\in U\) such that for all \(p\in P\), we have \(f(p)=u(p)\). Note that whenever there is a normalized utility \(u\in U\) providing an expected utility representation, then it must be unique in \(U\).

3 Basic axioms and expected utility theorems

In this section, we briefly review some of the well-known expected utility theorems.

3.1 von Neumann–Morgenstern expected utility theorem

The following axiom is the key behavioral implication of the expected utility model.

Axiom

(Independence, IND) For any \(p,q,r\in P\) and \(\alpha \in (0,1)\), \(p\succ q\) (resp. \(p\sim q\)) implies \(p\alpha r\succ q\alpha r\) (resp. \(p\alpha r\sim q\alpha r\)).

Independence says that mixing two lotteries with a common lottery should not alter the preference for any mixture weight or common lottery used. In addition to IND, a continuity axiom is needed to establish an expected utility representation.Footnote 3 The following continuity axiom is arguably the simplest one used in the literature for this purpose.

Axiom

(Archimedean continuity, aCON) For any \(p,q,r\in P\), \(p\succ q\succ r\) implies \(p\alpha r\succ q\) and \(q\succ p\beta r\) for some \(\alpha ,\beta \in (0,1)\).

Archimedean continuity states that there is no lottery so good (resp. bad) that when mixed with a lottery worse (resp. better) than another lottery, the mixture is always better (resp. worse) than the intermediate lottery. As is well-known, these two axioms imply an expected utility representation.

Theorem (von Neumann–Morgenstern)

A preference order \(\succsim\) satisfies IND and aCON if and only if it has an expected utility representation.

This result, given by von Neumann and Morgenstern (1947), provided the first axiomatic foundation for the expected utility model.Footnote 4

3.1.1 Herstein–Milnor expected utility theorem

Another well-known expected utility theorem uses a topological mixture continuity axiom instead (rather than the order-theoretic aCON) while it weakens the independence requirement.

Axiom

(Mixture continuity, mCON) For any \(p,q,r\in P\), the sets \(\{\alpha :p\alpha r\succsim q\}\) and \(\{\alpha :q\succsim p\alpha r\}\) are closed.

Mixture continuity implies that the preference ordering is continuous in probability distributions by requiring above two sets to be closed with respect to the standard topology. To establish an expected utility representation, mCON is associated with an independence condition.

Axiom

(Herstein–Milnor independence, hm-IND) For any \(p,q,r\in P\), \(p\sim q\) implies \(p1/2r\sim q1/2r\).

The Herstein–Milnor independence axiom fixes the mixture weight at 1/2 and requires independence to hold only for the indifference relation. Herstein and Milnor (1953) showed that these two axioms imply an expected utility representation.

Theorem (Herstein–Milnor)

A preference order \(\succsim\) satisfies hm-IND and mCON if and only if it has an expected utility representation.

Although these two results characterize the same expected utility model, we see a certain tradeoff between them: the von Neumann and Morgenstern (1947) result uses an order-theoretic continuity, but requires a stronger independence, while the Herstein and Milnor (1953) result uses a weaker independence, but requires a topological continuity. This suggests that by strengthening or weakening the continuity requirement, we can obtain a suitable independence axiom to establish an expected utility representation. In the next section, we will investigate these possibilities in more detail.

4 Analysis

In this section, we provide our analysis of the expected utility model. We first discuss how IND can be decomposed into weaker conditions. We then show how one can obtain the expected utility model using these weaker conditions under a weak and a strong continuity axiom.

4.1 Shades of independence

The IND axiom has been extensively scrutinized in the literature given that it is the signifying behavioral implication of the expected utility model. In fact, starting with the Allais (1953) thought experiments, numerous experimental results show that the IND axiom can often be violated by the experimental subjects. Two such experimental results are well-known: common consequence and ratio effects.

The common consequence (CC) effect can be summarized as the violation of the following weak independence axiom.

Axiom

(Translation independence, tIND) For any \(p,q,r,s\in P\) and \(\alpha \in (0,1)\), \(p\alpha r\succsim q\alpha r\) implies \(p\alpha s\succsim q\alpha s\).

Translation independence reflects the idea that the preferences between mixtures of two lotteries with a common lottery should stay the same as long as the weight of the two lotteries is fixed across comparisons while the common lottery can vary. Unlike IND, the tIND axiom allows for a change of preferences whenever the weights also vary, and so it is a weaker independence condition than IND.

The common ratio (CR) effect, on the other hand, is about the failure of the following weak independence axiom.

Axiom

(Scale independence, sIND) For any \(p,q\in P\) and \(\alpha \in (0,1)\), \(p\succ q\) (resp. \(p\sim q\)) implies \(p\alpha x_{0}\succ q\alpha x_{0}\) (resp. \(p\alpha x_{0}\sim q\alpha x_{0}\)).

Scale independence says that when mixing two lotteries with the worst-outcome lottery, the preference between the lotteries do not change whenever the mixture weights vary.Footnote 5 Unlike IND, the sIND axiom allows the preferences to change when the common lottery is different than the worst-outcome lottery, and so it is a weaker independence condition than IND.

To rationalize the CC and CR effects, a strand of literature on decision-making under risk proposed models which can violate both tIND and sIND, but satisfy the following weak form of independence.Footnote 6

Axiom

(Betweenness, BET) For any \(p,q\in P\) and \(\alpha \in (0,1)\), \(p\succ q\) (resp. \(p\sim q\)) implies \(p\succ p\alpha q\succ q\) (resp. \(p\sim p\alpha q\sim q\)).

Betweenness reflects the idea that the mixture of two lotteries should stay in between them in terms of preference order; that is, the better (resp. worse) lottery should be deemed better (resp. worse) against the mixture of lotteries no matter what mixing weight is used. Clearly, each of the axioms above, tIND, sIND, and BET, are implied by the IND axiom. We note that together these axioms are equivalent to the IND axiom.

Proposition 1

A preference order \(\succsim\) satisfies (i) IND if and only if (ii) it satisfies tIND and sIND if and only if (iii) it satisfies tIND and BET.

Proposition 1 shows that we can decompose IND into two weaker axioms; either tIND together with sIND or tIND together with BET.

4.1.1 Discussion

We now demonstrate some implications of tIND, sIND, and BET for the case \(n=2\). Consider Fig. 1a and suppose that tIND holds. Suppose we have \(p'\sim q'\) and pqr are such that \(p'=p\alpha r\) and \(q'=q\alpha r\) for some \(\alpha \in (0,1)\). Suppose also that \(p'',q'',s\) are such that \(p''=p\alpha s\) and \(q''=q\alpha s\). Then tIND implies that \(p''\sim q''\). Notice that the distance between \(p'\) and \(p''\), and \(q'\) and \(q''\) are equal to each other. Thus, given that all these parameters (i.e., rs, and \(\alpha\)) are arbitrary, indifference curves must be parallel to each other. Moreover, since these curves must be parallel to each other along any direction, the indifference curves must be straight lines. But notice also that these straight lines do not need to be solid lines. That is, there could be gaps in indifference sets. To see this, suppose pqr are such that \(p'=p1/2r\) and \(q'=q1/2r\). Then, by tIND, we must have \(p\sim q1/2p\) and \(p1/2q\sim q\) implying that pq and their midpoint p1/2q must be on the same indifference curve. This argument, however, does not need to hold for an arbitrary point in between p and q. The preference order given in Example 4 below shows that this can indeed be the case; that is, indifference sets can have arbitrarily many gaps in them.

Fig. 1
figure 1

Illustration of independence axioms

Now consider Fig. 1b above, and suppose that sIND holds. Suppose we have \(p\sim q\) and \(p',q'\) are such that \(p'=p\alpha x_{0}\) and \(q'=q\alpha x_{0}\) for some \(\alpha \in (0,1)\). Then, by sIND, we must have \(p'\sim q'\). Notice that the slope of the line passing through p and q is the same as the slope of the line passing through \(p'\) and \(q'\). Since all these parameters are arbitrary, we conclude that indifference curves must be parallel to each other along the rays starting from \(x_{0}\).

Finally, consider Fig. 1c and suppose that BET holds. Suppose we have \(p\sim q\). Then, by BET, clearly we have \(p\sim r\) for any \(r=p\alpha q\) for some \(\alpha \in (0,1)\). Now suppose also that \(p',q'\) are such that \(p=p'\beta q\) and \(q=q'\gamma p\) for some \(\beta ,\gamma \in (0,1)\). Then, by BET, we must have \(p'\sim p\) because otherwise, by BET, we will have \(p'\beta q\succ q\) or \(q\succ p'\beta q\), a contradiction. A similar argument applies for \(q'\), and so \(q'\sim q\). In sum, BET implies that indifference sets must be straight lines (but not necessarily parallel to each other as depicted in Fig. 1c above), and whenever they are not singletons, they must be solid.

We see that two key implications of tIND, parallel and straight indifference sets, are also implied by sIND and BET together. Given this, it might seem plausible to expect that sIND and BET together imply tIND. Example 1, however, shows that in general sIND and BET together do not necessarily imply tIND.

Example 1

Suppose \(n=2\) and let \(\succsim\) be a preference order over P such that for all \(p,q\in P\),

$$\begin{aligned} p\succsim q\text { if }(\psi (p),\gamma (p))\ge _{L}(\psi (q),\gamma (q)), \end{aligned}$$

where \(\ge _{L}\) is the lexicographic order defined on \(\mathbb {R}^{2}\), \(\gamma (r)=r_{2}+r_{1}\) for any r in P, and \(\psi (r)=\frac{r_{2}}{r_{2}+r_{1}}\) whenever \(r_{2}+r_{1}>0\) and \(\psi (r)=0\) otherwise for any r in P. \(\diamondsuit\)

In the Appendix, we show that the preference order defined in Example 1 satisfies both sIND and BET, yet it fails to satisfy tIND, and therefore IND.Footnote 7

4.2 Independence with weak continuity

In this section, we establish an expected utility theorem by weakening independence by requiring only sIND and BET, while also employing a novel weak continuity axiom. We also give counter examples demonstrating that further weakening or replacing these axioms will not guarantee an expected utility representation.

4.2.1 A weak continuity axiom

Example 1 shows that sIND and BET together are not strong enough to imply IND. In fact, this preference order does not even have a representation because it does not allow for substitutions; some of the outcomes are infinitely desirable over others. To avoid these type of preference orders, we do propose the following weak continuity axiom.

Axiom

(Weak continuity, wCON) For any distinct \(i,j\in I\), there exist \(p,q\in P\) with \(p\sim q\) and \(p_{k}=q_{k}=0\) for all \(k\in I{\setminus }\{i,j\}\) such that \((p_{i}-q_{i})(q_{j}-p_{j})>0\).

Weak continuity axiom allows for compensation between likelihoods of any two different outcomes \(x_{i},x_{j}\in X\) for \(i,j\in I\), while the worst outcome’s likelihood is used to balance the accounting.Footnote 8 It is clear that the mCON axiom directly implies wCON. Next, we will use this weak continuity axiom to obtain an expected utility representation.

4.2.2 An expected utility theorem

The following result shows that an expected utility representation can be obtained by requiring only a weaker set of independence axioms and a weak continuity axiom.

Theorem 1

A preference order \(\succsim\) satisfies sIND, BET, and wCON if and only if it has an expected utility representation.

The proof we provide for this result is relatively short while we believe it is also instructive. To prove Theorem 1, we first construct an indifference set passing through outcome \(x_{1}\). The indifference set is a convex hyperplane such that any point in P can be projected onto it using outcome \(x_{0}\).Footnote 9 We then define all utility weights \(u\in U\), and by considering the projections and using the two axioms sIND and BET, we show that \(u\in U\) provides a representation for the preference order.

Fig. 2
figure 2

Illustration of Theorem 1 proof

To demonstrate the intuition, suppose \(n=2\) and consider Fig. 2a above. By wCON, there exist some \(p,q\in P\) such that \(p\sim q\) and \((p_{1}-q_{1})(q_{2}-p_{2})>0\). Without loss of generality, suppose that \((p_{1}-q_{1}),(q_{2}-p_{2})>0\) as depicted in Fig. 2a above. Consider line A which passes through \(p''=x_{1}\) and \(q''=x_{2}\frac{q_{2}-p_{2}}{p_{1}-q_{1}}x_{0}\). When \(\alpha =\frac{q_{2}-p_{2}}{p_{1}q_{2}-p_{2}q_{1}}>0\), both \(p'=p\alpha x_{0}\) and \(q'=q\alpha x_{0}\) must be on A. By sIND, we must have \(p\alpha x_{0}\sim q\alpha x_{0}\). As we argued before (with the help of Fig. 1c above), we must have \(x_{1}\sim p\alpha x_{0}\) and \(q\alpha x_{0}\sim x_{2}\frac{q_{2}-p_{2}}{p_{1}-q_{1}}x_{0}\) by BET, and so \(x_{1}\sim x_{2}\frac{q_{2}-p_{2}}{p_{1}-q_{1}}x_{0}\) implying that A is an indifference set passing through \(x_{1}\). Since \(x_{2}\succ x_{1}\succ x_{0}\), we must have \(\frac{q_{2}-p_{2}}{p_{1}-q_{1}}\in (0,1)\) by BET. Let \(u\in U\) such that \(u_{0}=0\), \(u_{2}=1\), and \(u_{1}=\frac{q_{2}-p_{2}}{p_{1}-q_{1}}\). By definition, we have \(u(r)=u_{1}\) if and only if \(r\in A\). Moreover, for any \(r\in P\) with \(u(r)>u_{1}\), we have \(r\frac{u_{1}}{u(r)}x_{0}\in A\) and for any \(r\in P\) with \(u(r)<u_{1}\), we have \(r=s\frac{u(r)}{u_{1}}x_{0}\) for some \(s\in A\). Using sIND and BET, we then show that \(p\succ q\) if and only if \(u(p)>u(q)\) for any \(p,q\in P\). For instance, consider Fig. 2b above and let \(u(p)>u(q)>u_{1}\) as depicted. Then we have \((pbx_{0})ax_{0},qax_{0}\in A\), where \(b=\frac{u(q)}{u(p)}\) and \(a=\frac{u_{1}}{u(q)}\), and so \(p\frac{u(q)}{u(p)}x_{0}\sim q\) by sIND. Since \(p\succ x_{0}\), by BET, we have \(p\succ q\). By applying similar arguments, we complete the proof.

Notice that either sIND or BET can be replaced with tIND in Theorem 1 given that any two of these axioms imply the third one when wCON holds.

Corollary 1

A preference order \(\succsim\) satisfies (i) tIND, BET, and wCON if and only if (ii) it satisfies sIND, tIND, and wCON if and only if (iii) it has an expected utility representation.

4.2.3 Counter examples

We know by Example 1 that when obtaining an expected utility representation in Theorem 1, we cannot drop wCON. Can we weaken any of the two axioms, sIND and BET, or replace them with tIND, and still establish an expected utility representation? The following three examples show that this is not possible. Thus, our axioms used in Theorem 1 are tight.

Example 2 given below shows that the sIND axiom cannot be replaced with the following weak scale independence axiom to obtain an expected utility representation.

Axiom

(Weak scale independence, wsIND) For any \(p,q\in P\) and \(\alpha \in (0,1)\), \(p\succ q\) implies \(p\alpha x_{0}\succ q\alpha x_{0}\).

Unlike sIND, the wsIND axiom allows to have \(p\sim q\) and \(p\alpha x_{0}\succ q\alpha x_{0}\) (or \(q\alpha x_{0}\succ p\alpha x_{0}\)) for some \(p,q\in P\) and \(\alpha \in (0,1)\).

Example 2

Let \(\succsim\) be a preference order such that for any \(p,q\in P\),

$$\begin{aligned} p\succsim q\text { if }v(p)\ge v(q), \end{aligned}$$

where for any \(r\in P\), \(v(r)=\sum _{i\in I_{0}}u(x_{i},v(r))r_{i}\) for some function \(u(.,.):X\times [0,1]\rightarrow \mathbb {R}\) which is continuous in its arguments, and increasing in the preference ordering on X such that \(u(x_{0},a)=0\) and \(u(x_{n},a)=1\) for any \(a\in [0,1]\). \(\diamondsuit\)

The preference order defined in Example 2, which is also called an implicit expected utility, was first proposed and axiomatically characterized by Dekel (1986) to allow behavior compatible with Allais (1953) paradoxes. In the Appendix, we show that the preference order defined in Example 2 satisfies wsIND, BET, and wCON, but satisfies sIND only when it has an (explicit) expected utility representation; that is, whenever it has a “proper” implicit expected utility representation, then it fails to satisfy sIND. Thus, we cannot replace sIND with wsIND in Theorem 1.

Example 3 given below shows that the BET axiom cannot be replaced in Theorem 1 with the following weak betweenness axiom.

Axiom

(Weak betweenness, wBET) For any \(p,q\in P\) and \(\alpha \in (0,1)\), \(p\succsim q\) implies \(p\succsim p\alpha q\succsim q\).

Notice that unlike BET, the wBET axiom allows to have \(p\succ q\) and \(p\sim p\alpha q\) (or \(p\alpha q\sim q\)) for some \(p,q\in P\) and \(\alpha \in (0,1)\).

Example 3

Let \(\succsim\) be a preference order such that for any \(p,q\in P\),

$$\begin{aligned} p\succsim q\text { if }\left( \,u(p),\,\lambda (p)\,\right) \ge _{L}(\,u(q),\,\lambda (q)\,), \end{aligned}$$

where \(\ge _{L}\) is the lexicographic order defined on \(\mathbb {R}^{2}\), u(.) is an expected utility function defined on P, and \(\lambda (.)\) is an indicator function defined on \(\mathbb {R}\) such that for all \(p\in P\), \(\lambda (p)=1\) if \(v(p)\ge v(x_{0})\) and \(\lambda (p)=0\) if \(v(p)<v(x_{0})\) for some \(v\in \mathbb {R}^{n}\) with \(v(x_{i})<v(x_{0})<v(x_{j})\) for some \(i,j\in I\). \(\diamondsuit\)

In the Appendix, we show that the preference order defined in Example 3 satisfies sIND, wBET, and wCON, yet fails to satisfy BET, and therefore does not have a representation. Thus, we cannot replace BET with wBET in Theorem 1 to obtain an expected utility representation.

Can tIND imply the two weak independence axioms, sIND and BET, when wCON also holds? The following example shows that this is not true. Thus, we cannot replace sIND and BET with tIND in Theorem 1.

Example 4

Let \(\succsim\) be a preference order such that for any \(p,q\in P\),

$$\begin{aligned} p\succsim q\text { if }\left( \,u(p),\,\varphi (p_{1}-q_{1})\,\right) \ge _{L}(\,u(q),\,0\,), \end{aligned}$$

where \(\ge _{L}\) is the lexicographic order defined on \(\mathbb {R}^{2}\), u(.) is an expected utility function defined on P, and \(\varphi (.)\) is an indicator function defined on \(\mathbb {R}\). Specifically, \(\varphi (r)=1\) if \(r\in \mathbb {A}\), \(\varphi (r)=0\) if \(r\in \mathbb {Q}\), and \(\varphi (r)=-1\) if \(r\in \mathbb {B}\), where \(\mathbb {Q}\) is the set of rational numbers while \(\mathbb {A}\) and \(\mathbb {B}\) decompose the set of irrationals \(\mathbb {I}\) into two sets satisfying the following properties: (i) \(\mathbb {A}=-\mathbb {B}\), (ii) \(a,a^{\prime }\in \mathbb {A}\) implies \(a+a^{\prime }\in \mathbb {A}\), and (iii) \(a\in \mathbb {A}\) and \(r\in \mathbb {Q}\) implies \(a+r\in \mathbb {A}\).Footnote 10\(\diamondsuit\)

In the Appendix, we show that the preference order given in Example 4 satisfies tIND and wCON, but violates both sIND and BET because of the second criterion in its definition. Clearly, this preference order has no representation due to its lexicographic nature.

4.3 Independence with strong continuity

In this section, we further consider the relation between tIND, and sIND, and BET. We first discuss that whenever we employ a strong form of mixture continuity axiom, tIND becomes equivalent to sIND and BET combined. We then provide an alternative expected utility theorem, which is obtained using the stronger mixture continuity axiom but weaker form of independence axioms, tIND, or sIND and BET together, with mixture weights fixed at 1/2.

4.3.1 A strong continuity axiom and equivalence result

The following is a form of mixture continuity axiom that we will use.

Axiom

(Strong continuity, sCON) For any \(p,q,r,s\in P\), the set \(\{\alpha :p\alpha r\succsim q\alpha s\}\) is closed.

In contrast to mCON, strong continuity allows both sides of the preference comparison to vary as the mixture weight varies.Footnote 11 In fact, it is clear that sCON implies mCON. The following result shows that there is a direct relation between tIND and sIND together with BET whenever the preference order satisfies sCON instead of wCON.

Lemma 1

Let \(\succsim\) be a preference order satisfying sCON. Then \(\succsim\) satisfies tIND if and only if it satisfies sIND and BET.

Lemma 1 shows that the tIND axiom becomes equivalent to the sIND and BET axioms combined whenever sCON holds.

4.3.2 An alternative expected utility theorem

We have seen in Sect. 3 that for a given continuous preference order, IND is both sufficient and necessary to have an expected utility representation. On the other hand, Theorem 1 shows that the full strength of IND is not needed to characterize expected utility preferences when the wCON axiom is assumed; verifying only sIND and BET is enough. Moreover, Lemma 1 implies that both sIND and BET can be replaced with tIND whenever the stronger continuity axiom, sCON, is assumed. In fact, in that case, we can consider even weaker versions of the weak independence axioms, tIND, sIND, and BET, by requiring that the mixture weights \(\alpha \in (0,1)\) to be fixed at 1/2.

We call these weaker form independence axioms, respectively, even-chance translation independence (ec-tIND), even-chance scale independence (ec-sIND), and even-chance betweenness (ec-BET). To be more precise, \(\succsim\) satisfies (i) ec-tIND if for any \(p,q,r,s\in P\), we have \(p\frac{1}{2}r\succsim q\frac{1}{2}r\) implies \(p\frac{1}{2}s\succsim q\frac{1}{2}s\), (ii) ec-sIND if for any \(p,q\in P\), we have \(p\succ q\) (resp. \(p\sim q\)) implies \(p\frac{1}{2}x_{0}\succ q\frac{1}{2}x_{0}\) (resp. \(p\frac{1}{2}x_{0}\sim q\frac{1}{2}x_{0}\)), and (iii) ec-BET if for any \(p,q\in P\), we have \(p\succ q\) (resp. \(p\sim q\)) implies \(p\succ p\frac{1}{2}q\succ q\) (resp. \(p\sim p\frac{1}{2}q\sim q\)).Footnote 12

The following theorem shows that the expected utility preferences can be characterized with the use of above weaker even-chance independence axioms together with the sCON axiom.

Theorem 2

A preference order \(\succsim\) satisfies (i) ec-tIND and sCON if and only if (ii) it satisfies ec-sIND, ec-BET, and sCON if and only if (iii) it has an expected utility representation.

Theorem 2 shows that, as long as the sCON axiom holds, we can substantially weaken the independence requirement when characterizing the expected utility model by considering only equal-chance mixtures. In proving this result (in the Appendix), we first strengthen the relations given in Lemma 1. We show that whenever the preference order satisfies ec-tIND, then it satisfies sIND and BET, and likewise, whenever it satisfies ec-sIND and ec-BET, then it satisfies tIND (Lemma 2). We then invoke the fact that sCON directly implies wCON and finally appeal to Theorem 1 to establish an expected utility representation.

5 Discussion

In this section, we briefly review some independence and continuity axioms used in the literature, and provide a discussion about their relation to the independence and continuity axioms that we used for our expected utility characterizations.

5.1 Independence axioms

Many modern textbooks use the IND axiom to characterize expected utility preferences. For instance, Mas-Colell et al. (1995) use mCON, while (Gilboa, 2009, 2010) use aCON together with IND to establish a von Neumann–Morgenstern expected utility theorem.Footnote 13 The IND is clearly comprise the following weaker independence axioms, first axiom due to Marschak (1950), Nash (1950), and Malinvaud (1952), and second axiom due to Jensen (1967).

Axiom

(Marschak–Nash–Malinvaud independence, mnm-IND) For any \(p,q,r\in P\) and \(\alpha \in (0,1)\), \(p\sim q\) implies \(p\alpha r\sim q\alpha r\).

The Marschak–Nash–Malinvaud independence axiom requires independence for the symmetric part of the preference order. This axiom clearly implies the hm-IND axiom that Herstein and Milnor (1953) used. The strict counterpart of mnm-IND is formulated as below.

Axiom

(Jensen independence, j-IND) For any \(p,q,r\in P\) and \(\alpha \in (0,1)\), \(p\succ q\) implies \(p\alpha r\succ q\alpha r\).

The Jensen independence axiom requires independence for the asymmetric part of the preference order.Footnote 14 Kreps (1988) uses j-IND together with aCON to establish an expected utility representation. In particular, Kreps (1988) shows that j-IND and aCON imply mnm-IND, and therefore, IND.

In our first theorem, our objective was to keep the independence axiom as strong as possible, while having a continuity axiom as weak as possible. It turns out that even the wCON axiom permits some weakening of the IND axiom by replacing IND with sIND and BET. However, we have also shown that sIND cannot be further weakened to wsIND, or BET cannot be further weakened to wBET. It is an open question whether IND can be replaced with j-IND in Theorem 1.Footnote 15 Notice that j-IND directly implies wsIND and the following strict betweenness axiom.

Axiom

(Strict betweenness, sBET) For any \(p,q\in P\) and \(\alpha \in (0,1)\), \(p\succ q\) implies \(p\succ p\alpha q\succ q\).

Figure 3 below shows how various independence and continuity axioms are related to each other, which helps put in to perspective some of our contributions in this paper. In particular, continuity axioms are given within brackets next to the independence implication they are needed for. Arrows with two bases show that the two axioms at each base together form the implication.

Fig. 3
figure 3

Independence and continuity axioms

5.1.1 Continuity axioms

So far, we have mentioned many continuity axioms used in the literature for decision-making under risk. It will be helpful to clarify their relation. Basically, there are two types of continuity axioms, either topological or order theoretic. The following solvability axiom belongs to the latter category.

Axiom

(Solvability, SOL) For any \(p,q,r\in P\), \(p\succ q\succ r\) implies \(p\alpha r\sim q\) for some \(\alpha \in (0,1)\).

Dekel (1986) uses the solvability axiom in characterizing the class of preference orders that we used in Example 2. Given that we assume \(x_{i}\succ x_{j}\) for all \(i>j\), it is immediate to see that SOL implies our wCON axiom. In fact, the following proposition sets the relation of continuity axioms that we have utilized so far.

Proposition 2

Let \(\succsim\) be a preference order. Then (i) if \(\succsim\) satisfies sCON, then it satisfies mCON, (ii) if \(\succsim\) satisfies mCON, then it satisfies aCON and SOL, and (iii) if \(\succsim\) satisfies SOL, then it satisfies wCON.

Proposition 2 shows that while sCON is the strongest, wCON is relatively the weakest continuity axiom as summarized also in Fig. 3 above.Footnote 16