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1 Introduction

The aim of this manuscript is to summarize some relations between partially ordered sets and stochastic orders defined by means of such ordered sets.

The theory of ordered sets plays an important role in many mathematical fields, as algebra, analysis, graph theory, combinatorics (see for instance [1, 10, 23, 28], etc.). It is applied in different areas as computer science, coding theory, cryptography, (see for instance [6, 12, 22], etc.), as well as being by itself a remarkable area of interest for researchers.

Consider \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) a poset (partially ordered set), that is, \({\mathscr {X}}\) is a set and \({\preceq _{{\mathscr {X}}}}\) is a binary relation defined on \({\mathscr {X}}\) which satisfies the reflexivity, transitivity and antisymmetric properties. Some of the most useful concepts related to ordered sets are the following.

A subset \(U\subset {\mathscr {X}}\) is said to be an upper set if given \(x_1,x_2 \in {\mathscr {X}}\) with \(x_1\in U\) and \(x_1 {\preceq _{{\mathscr {X}}}} x_2\), then \(x_2\in U\).

An upper quadrant set is a subset of \({\mathscr {X}}\) of the form \(Q_x^{{\preceq _{{\mathscr {X}}}}}=\{z \in {\mathscr {X}} \mid x {\preceq _{{\mathscr {X}}}} z\},\) with \(x \in {\mathscr {X}}\). We will denote by \({\mathscr {Q}}^{{\preceq _{{\mathscr {X}}}}}\) the class of upper quadrant sets determined by the partial order \({\preceq _{{\mathscr {X}}}}\) on \({\mathscr {X}}\). Note that any upper quadrant set is an upper set.

Let \(x_1,x_2 \in {\mathscr {X}}\). We will say that \(x_2\) covers \(x_1\) if \(x_1 {\preceq _{{\mathscr {X}}}} x_2,\, x_1\not =x_2\) and there is not \(x_3\in {\mathscr {X}},\, x_1\not = x_3\not = x_2\), with \(x_1 {\preceq _{{\mathscr {X}}}} x_3 {\preceq _{{\mathscr {X}}}} x_2\).

In the case where \({\mathscr {X}}\) is a finite set, the Hasse diagram of the poset \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) is a directed graph with vertices set \({\mathscr {X}}\) and an edge from x to y if y covers x.

To construct a Hasse diagram we will draw the points of \({\mathscr {X}}\) in the plane such that if \(x_1{\preceq _{{\mathscr {X}}}} x_2\), the point for \(x_2\) has a larger y-(vertical) coordinate than the point for \(x_1\).

Hasse diagrams are very useful representations of ordered sets which describe the order relations between elements in a graphical way.

Mappings from an ordered set to another ordered set which preserve the order relations, play a remarkable role in order theory. These mappings are said to be order-preserving mappings.

Let \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) and \(({\mathscr {Y}},{\preceq _{{\mathscr {Y}}}})\) be posets. A mapping \(\phi :{\mathscr {X}} \rightarrow {\mathscr {Y}}\) is said to be order-preserving if for any \(x_1,x_2 \in {\mathscr {X}}\) with \(x_1 {\preceq _{{\mathscr {X}}}} x_2\), we have that \(\phi (x_1){\preceq _{{\mathscr {Y}}}} \phi (x_2)\). In particular, if \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) is a poset, a mapping \(f:{\mathscr {X}} \rightarrow {\mathbb R}\) is said to be \({\preceq _{{\mathscr {X}}}}\)-preserving if for any \(x_1,x_2 \in {\mathscr {X}}\) with \(x_1 {\preceq _{{\mathscr {X}}}} x_2\), we have that \(f(x_1)\le f(x_2)\). Note that the class of mappings which are \({\preceq _{{\mathscr {X}}}}\)-preserving is the class of order-preserving mappings when we consider the posets \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) and \(({\mathbb R},\le )\), \(\le \) being the usual order on the real line.

A very interesting class of order-preserving mappings is the class of bijective order-preserving maps. Let \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) and \(({\mathscr {Y}},{\preceq _{{\mathscr {Y}}}})\) be posets. A mapping \(\phi :{\mathscr {X}} \rightarrow {\mathscr {Y}}\) is said to be an order-isomorphism if:

(i) \(\phi \) is order-preserving,

(ii) there exists \(\phi ^{-1}:{\mathscr {Y}} \rightarrow {\mathscr {X}}\) inverse of \(\phi \),

(iii) \(\phi ^{-1}\) is order-preserving.

Clearly a mapping \(\phi :{\mathscr {X}} \rightarrow {\mathscr {Y}}\) is an order-isomorphism if and only if

(i) \(\phi \) is bijective,

(ii) for all \(x_1,x_2 \in {\mathscr {X}}\), it holds that \(x_1 {\preceq _{{\mathscr {X}}}} x_2\) if and only if \(\phi (x_1) {\preceq _{{\mathscr {Y}}}} \phi (x_2)\).

Two posets \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) and \(({\mathscr {Y}},{\preceq _{{\mathscr {Y}}}})\) are said to be order-isomorphic if there exists an order-isomorphism \(\phi :{\mathscr {X}} \rightarrow {\mathscr {Y}}\).

Note that two order-isomorphic sets are indistinguishable for the ordered sets theory, because they have the same order structure.

The reader is referred, for instance, to [14, 26, 27] for an introduction to the theory of ordered sets.

In probabilistic and statistic frameworks, one of the main aims is to compare random magnitudes in accordance with an appropriate criterion. Ordered sets of probabilities have a great importance in this context. The study of such ordered sets involves the analysis of theoretical and applied problems. Pre-orders on sets of probabilities are called stochastic orders (see for instance [3, 25, 29]). Stochastic orders have been successfully applied in areas like medicine, ecology, veterinary science, biology, economics, quality control theory, shape analysis, communications and others (see for instance [2, 5, 7,8,9, 16, 18,19,20,21, 25, 30], etc.).

A stochastic order is said to be integral if there exists a class of real measurable mappings satisfying that \(P\,{\widetilde{\preceq }}\, Q\) when

$$\int _{{\mathscr {X}}} f\, dP\le \int _{{\mathscr {X}}} f\, dQ$$

for all f in such a class, such that the above integrals exist, P and Q being probabilities. That class of mappings is said to be a generator of the order. We should note that there could be different generators of the same stochastic order (the reader is referred to [24] and Chap. 2 of [25] for integral stochastic orderings).

It is possible to define a stochastic order on the class of probabilities associated with a set endowed with a partial order by means of the class of preserving mappings as follows (see, for instance, [15, 25]).

Let \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) be a poset. Consider a \(\sigma \)-algebra \({\mathscr {A}}\) on \({\mathscr {X}}\). Let \({{\mathscr {F}}^{\mathscr {X}}}\) stand for the class of real measurable \({\preceq _{{\mathscr {X}}}}\)-preserving mappings. Let \({{\mathscr {P}}_{\mathscr {X}}}\) denote the set of probabilities associated with the measurable space \(({\mathscr {X}},{\mathscr {A}})\). Define a pre-order (\({\preceq _{{\mathscr {X}}g}}\)) in that class by: let \(P_1,P_2 \in {{\mathscr {P}}_{\mathscr {X}}}\), then

$$ P_1{\preceq _{{\mathscr {X}}g}} P_2 \quad \hbox { when } \quad \int _{\mathscr {X}} f\, dP_1\le \int _{\mathscr {X}} f\, dP_2 $$

for all \(f\in {{\mathscr {F}}^{\mathscr {X}}}\) for which both integrals exist.

Conditions for an integral stochastic order to be generated by a poset are studied in [17].

In some frameworks is quite useful to pay attention to the property of being order-isomorphic for stochastic orders generated by partially ordered sets, when such partially ordered sets are order-isomorphic.

2 On Order-Isomorphisms of Stochastic Orders Generated by Posets

In this section we consider the question proposed in Sect. 1 on the property of being order-isomorphic for posets and stochastic orders generated by such posets.

If two posets are order-isomorphic, then the stochastic orders generated by those posets are also order-isomorphic. It is interesting to remark that the converse is not true in general. We describe particular conditions under which the converse holds. These results are mainly included in [19].

Let us consider \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) a poset. We will denote by \({{\mathscr {B}}_{\mathscr {X}}}\) the \(\sigma \)-algebra generated by the class of upper quadrant sets, that is, \({{\mathscr {B}}_{\mathscr {X}}}=\sigma ({\mathscr {Q}}^{{\preceq _{{\mathscr {X}}}}})\).

The usual Borel \(\sigma \)-algebra on \({\mathbb R}\) will be denoted by \({\mathscr {B}}\).

The symbol \({{\mathscr {F}}^{\mathscr {X}}}\) will represent the set of mappings \(f:{\mathscr {X}} \rightarrow {\mathbb R}\) which are measurable with respect to \({\mathscr {B}}_{{\mathscr {X}}}\) and \({\mathscr {B}}\), and \({\preceq _{{\mathscr {X}}}}\)-preserving.

On the other hand, \({{\mathscr {P}}_{\mathscr {X}}}\) will stand for the set of probability measures on the measurable space \(({\mathscr {X}}, {{\mathscr {B}}_{\mathscr {X}}})\). Moreover, \({{\mathscr {P}}_{\mathscr {X}}}^0\) will denote the subset of \({{\mathscr {P}}_{\mathscr {X}}}\) composed by degenerated probabilities, that is,

$$ {{\mathscr {P}}_{\mathscr {X}}}^0=\{P_x \in {{\mathscr {P}}_{\mathscr {X}}} \mid x \in {\mathscr {X}}, P_x(B)=1 \hbox { if }x\in B, P_x(B)=0 \hbox { otherwise},B\in {\mathscr {B}}_{{\mathscr {X}}} \}. $$

The class \({{\mathscr {F}}^{\mathscr {X}}}\) of all measurable \({\preceq _{{\mathscr {X}}}}\)-preserving mappings generates a stochastic order on \({{\mathscr {P}}_{\mathscr {X}}}\), denoted by \({\preceq _{{\mathscr {X}}g}}\), as follows: if \(P_1,P_2 \in {{\mathscr {P}}_{\mathscr {X}}}\), then

$$ P_1{\preceq _{{\mathscr {X}}g}} P_2 \quad \hbox { when } \quad \int _{\mathscr {X}} { fdP}_1\le \int _{\mathscr {X}} { fdP}_2 $$

for all \(f\in {{\mathscr {F}}^{\mathscr {X}}}\) for which both integrals exist.

Note that \(({{\mathscr {P}}_{\mathscr {X}}},{\preceq _{{\mathscr {X}}g}})\) is a poset. Reflexivity and transitivity are obvious. Now if \(P_1{\preceq _{{\mathscr {X}}g}} P_2\) and \(P_2 {\preceq _{{\mathscr {X}}g}} P_1\), since \(I_U\in {{\mathscr {F}}^{\mathscr {X}}}\), \(I_U\) being the indicator function of U, then \(P_1(U)=P_2(U)\) for all \(U\in {\mathscr {A}}^{\preceq }\), where \({\mathscr {A}}^{\preceq }\) is the class of all finite intersections of upper quadrant sets. Since \(\sigma ({\mathscr {A}}^{\preceq })=\sigma ({\mathscr {Q}}^{\preceq })\) and \({\mathscr {A}}^{\preceq }\) is a \(\pi \)-system, then \(P_1=P_2\) (see, for instance, [4, p. 42]), that is, \({\preceq _{{\mathscr {X}}g}}\) satisfies the antisymmetric property.

The following result can be found in [13]. We should note that the finiteness of \({\mathscr {X}}\) is essential in that result.

Let \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) be a poset with \({\mathscr {X}}\) finite. Let \(P_1,\, P_2 \in {{\mathscr {P}}_{\mathscr {X}}},\) then \(P_1 {\preceq _{{\mathscr {X}}g}} P_2\) if and only if \(P_1(U)\le P_2(U)\) for any U upper set.

If \({\mathscr {X}}\) is not finite, an upper set does not necessarily belong to \({\mathscr {B}}_{{\mathscr {X}}}\), and so the above result does not hold.

Now, let us consider order-isomorphisms. Let \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) and \(({\mathscr {Y}},{\preceq _{{\mathscr {Y}}}})\) be posets and let \(\phi :{\mathscr {X}} \rightarrow {\mathscr {Y}}\) be an order-isomorphism. It is not hard to prove that \(\phi \) is measurable with respect to the \(\sigma \)-algebras \({{\mathscr {B}}_{\mathscr {X}}}\) and \({{\mathscr {B}}_{\mathscr {Y}}}\).

In relation to the property of being order-isomorphic, the following result is obtained in [19].

Let \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) and \(({\mathscr {Y}},{\preceq _{{\mathscr {Y}}}})\) be order-isomorphic posets. Then the posets \(({{\mathscr {P}}_{\mathscr {X}}},{\preceq _{{\mathscr {X}}g}})\) and \(({{\mathscr {P}}_{\mathscr {Y}}},{\preceq _{{\mathscr {Y}}g}})\) are order-isomorphic.

We should remark that an order-isomorphism \(\nabla \) between \(({{\mathscr {P}}_{\mathscr {X}}},{\preceq _{{\mathscr {X}}g}})\) and \(({{\mathscr {P}}_{\mathscr {Y}}},{\preceq _{{\mathscr {Y}}g}})\) could be defined by means of an order-isomorphism \(\phi \) between \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) and \(({\mathscr {Y}},{\preceq _{{\mathscr {Y}}}})\). This fact is quite useful in many applications.

Example 2.1

(from [19]) Consider the posets \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) and \(({\mathscr {Y}},{\preceq _{{\mathscr {Y}}}})\) whose Hasse diagrams (taken from [27]) are given in Fig. 1.

Fig. 1
figure 1

Hasse diagrams in Example 2.1

Let \(\phi :{\mathscr {X}} \rightarrow {\mathscr {Y}}\) be the mapping such that \(\phi (x_1)=y_1\), \(\phi (x_2)=y_2\), \(\phi (x_3)=y_4\), \(\phi (x_4)=y_3\), \(\phi (x_5)=y_5\), \(\phi (x_6)=y_7\), \(\phi (x_7)=y_8\), \(\phi (x_8)=y_6\), \(\phi (x_9)=y_{10}\), \(\phi (x_{10})=y_9\) and \(\phi (x_{11})=y_{11}\). Then, \(\phi \) is an order-isomorphism and the posets \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) and \(({\mathscr {Y}},{\preceq _{{\mathscr {Y}}}})\) are order-isomorphic. As a consequence, we conclude that the posets \(({{\mathscr {P}}_{\mathscr {X}}},{\preceq _{{\mathscr {X}}g}})\) and \(({{\mathscr {P}}_{\mathscr {Y}}},{\preceq _{{\mathscr {Y}}g}})\) are order-isomorphic.

The converse of the result above is not true in general, as the following example shows (see [19]).

Example 2.2

Consider the sets \({\mathscr {X}}=\{x_1,x_2,x_3\}\) and \({\mathscr {Y}}=\{y_1,y_2\}\), and the posets \(({\mathscr {X}}, {\preceq _{{\mathscr {X}}}})\) and \(({\mathscr {Y}},{\preceq _{{\mathscr {Y}}}})\) with the Hasse diagrams given in Fig. 2. That posets are not order-isomorphic since \(\vert {\mathscr {X}} \vert \not = \vert {\mathscr {Y}} \vert \).

Note that \({\mathscr {X}}\) and \({\mathscr {Y}}\) are finite. Then, by means of the result in [13] given above, if \(P_1,\, P_2 \in {{\mathscr {P}}_{\mathscr {X}}}\) with \(P_1\not =P_2\), we have that neither \(P_1 {\preceq _{{\mathscr {X}}g}} P_2\) nor \(P_2 {\preceq _{{\mathscr {X}}g}} P_1\) are satisfied, and the same happens with the probabilities of \({{\mathscr {P}}_{\mathscr {Y}}}\). As a consequence, if we define a bijection between \({{\mathscr {P}}_{\mathscr {X}}}\) and \({{\mathscr {P}}_{\mathscr {Y}}}\), it will be an order-isomorphism. It is not hard to prove that there exists a bijection between both sets (see for instance [11]), and so \(({{\mathscr {P}}_{\mathscr {X}}},{\preceq _{{\mathscr {X}}g}})\) and \(({{\mathscr {P}}_{\mathscr {Y}}},{\preceq _{{\mathscr {Y}}g}})\) are order-isomorphic.

Fig. 2
figure 2

Hasse diagrams in Example 2.2

Now, the question is to find conditions under which an order-isomorphism between \(({{\mathscr {P}}_{\mathscr {X}}},{\preceq _{{\mathscr {X}}g}})\) and \(({{\mathscr {P}}_{\mathscr {Y}}},{\preceq _{{\mathscr {Y}}g}})\) implies the existence of an order-isomorphism between \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) and \(({\mathscr {Y}},{\preceq _{{\mathscr {Y}}}})\). Some of such conditions were proved in [19].

The following result holds.

Let \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) and \(({\mathscr {Y}},{\preceq _{{\mathscr {Y}}}})\) be posets, consider the posets \(({{\mathscr {P}}_{\mathscr {X}}},{\preceq _{{\mathscr {X}}g}})\) and \(({{\mathscr {P}}_{\mathscr {Y}}},{\preceq _{{\mathscr {Y}}g}})\). Let \(\nabla :{{\mathscr {P}}_{\mathscr {X}}} \rightarrow {{\mathscr {P}}_{\mathscr {Y}}}\) be an order-isomorphism such that \(\nabla ({{\mathscr {P}}_{\mathscr {X}}}^0)={{\mathscr {P}}_{\mathscr {Y}}}^0\), then \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) and \(({\mathscr {Y}},{\preceq _{{\mathscr {Y}}}})\) are order-isomorphic.

Another condition is provided by the following concept in [19], which in conjunction with an order-isomorphism between \(({{\mathscr {P}}_{\mathscr {X}}},{\preceq _{{\mathscr {X}}g}})\) and \(({{\mathscr {P}}_{\mathscr {Y}}},{\preceq _{{\mathscr {Y}}g}})\), lead to an order-isomorphism between \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) and \(({\mathscr {Y}},{\preceq _{{\mathscr {Y}}}})\). Let \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) be a poset and \(I \subset {\mathscr {X}}\). A mapping \(\varUpsilon :I \rightarrow {\mathscr {X}}\) is said to conserve \({\preceq _{{\mathscr {X}}}}\) in each point separately, when given \(x_1,x_2 \in I\), if one of the following relations holds: \(x_1{\preceq _{{\mathscr {X}}}} x_2\), \(\varUpsilon (x_1){\preceq _{{\mathscr {X}}}} x_2\), \(x_1{\preceq _{{\mathscr {X}}}} \varUpsilon (x_2)\), then the three relations are satisfied simultaneously.

Given \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) a poset and S a subset of \({\mathscr {X}}\), we will denote by \(\overline{S}\) the complement of S in \({\mathscr {X}}\), that is, \(\overline{S}={\mathscr {X}} \setminus S\).

The following result gives a new condition involving mappings which conserve orders in each point separately (see [19]).

Let \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) and \(({\mathscr {Y}},{\preceq _{{\mathscr {Y}}}})\) be posets, let us consider the posets \(({{\mathscr {P}}_{\mathscr {X}}},{\preceq _{{\mathscr {X}}g}})\) and \(({{\mathscr {P}}_{\mathscr {Y}}},{\preceq _{{\mathscr {Y}}g}})\). Let \(\nabla : {{\mathscr {P}}_{\mathscr {X}}} \rightarrow {{\mathscr {P}}_{\mathscr {Y}}}\) be an order-isomorphism. Let us define the sets \(L=\nabla ^{-1}({{\mathscr {P}}_{\mathscr {Y}}}^0) \cap \overline{{{\mathscr {P}}_{\mathscr {X}}}^0}\) and \(M=\nabla ({{\mathscr {P}}_{\mathscr {X}}}^0) \cap \overline{{{\mathscr {P}}_{\mathscr {Y}}}^0}\). If L and M are nonempty sets and if there exists an order-isomorphism \(\varOmega :L \rightarrow M\) such that \(\varOmega ^{-1} \circ \nabla : \nabla ^{-1}(M) \rightarrow {{\mathscr {P}}_{\mathscr {X}}}\) and \(\nabla ^{-1} \circ \varOmega : L \rightarrow {{\mathscr {P}}_{\mathscr {X}}}\) conserve \({\preceq _{{\mathscr {X}}g}}\) in each point separately, then the posets \(({\mathscr {X}},{\preceq _{{\mathscr {X}}}})\) and \(({\mathscr {Y}},{\preceq _{{\mathscr {Y}}}})\) are order-isomorphic.

The proof can be found in [19], together with an interesting application to the analysis of chemical components of seaweeds.