Bourbaki

1. Order relations. Ordered sets

1. Definition of an order relation

Let R{x,y}R\{x, y\} be a relation, xx and yy being distinct letters. R is said to be an order relation with respect to the letters x and y (or between x and y) if

(R{x, y}  and  R{ y, z})⇒R{x, z},(R\{x,\, y\} \ \text{ and } \ R\{\, y,\, z\}) \Rightarrow R\{x,\, z\},
(R{x, y}  and  R{ y, x})⇒(x=y),(R\{x,\, y\} \ \text{ and } \ R\{\, y,\, x\}) \Rightarrow (x = y),
R{x,y}⇒(R{x, x}  and  R{ y, y}).R\{x, y\} \Rightarrow (R\{x,\, x\} \ \text{ and } \ R\{\, y,\, y\}).

The first of the above relations says that R is transitive with respect to the letters xx and yy (Chapter II, § 6, no. 1).

Examples

(1) The relation of equality, x=yx = y, is an order relation.

(2) The relation X⊂YX \subset Y is an order relation between X and Y (Chapter II, § 1, no. 2, Propositions 1 and 2 and axiom A1) which is often called the inclusion relation.

(3) Let R{x,y}R\{x, y\} be an order relation between xx and yy. The relation R{ y, x}R\{\, y,\, x\} is then an order relation between x and y, called the opposite of the order relation R{x, y}R\{x,\, y\}.

An order relation on a set E is an order relation R{x, y}R\{x,\, y\} with respect to two distinct letters xx, yy such that the relation R{x, x}R\{x,\, x\} is equivalent to x∈Ex \in E (in other words, is such that R{x, y}R\{x,\, y\} is reflexive on E (Chapter II, § 6, no. 1)). Then the relation R{x, y}R\{x,\, y\} implies "x∈Ex \in E and y∈Ey \in E" and the relation (R{x, y}(R\{x,\, y\} and R{ y, x})R\{\, y,\, x\}) is equivalent to "x∈Ex \in E and y∈Ey \in E and x=yx = y".

Examples

Example 1 03SH

The relations of equality and inclusion are not order relations on a set, for the relations x=xx = x and X⊂X\mathrm{X} \subset \mathrm{X} are not collectivizing (Chapter II, § 1, no. 7).

Example 2 03SI

Let R}x, y{\mathrm{R}\}x,\ y\{ be an order relation between xx and yy, and let E be a set such that x∈Ex \in \mathrm{E} implies R}x, x{\mathrm{R}\}x,\ x\{ (notice that the empty set satisfies this condition). The relation "R}x, y{\mathrm{R}\}x,\ y\{ and x∈Ex \in \mathrm{E} and y∈Ey \in \mathrm{E}" is then an order relation on E, as is immediately verified; it is called the order relation induced by R}x,y{\mathrm{R}\}x,y\{ on E (cf. no. 4). By abuse of language, the phrase "the relation S}x, y{\mathrm{S}\}x,\ y\{ is an order relation between elements of E" is often used in place of "the relation (S}x, y{\mathrm{S}\}x,\ y\{ and x∈Ex \in \mathrm{E} and y∈Ey \in \mathrm{E}) is an order relation on E". For example, if A is a set, the relation "X⊂Y\mathrm{X} \subset \mathrm{Y} and X⊂A\mathrm{X} \subset \mathrm{A} and Y⊂A\mathrm{Y} \subset \mathrm{A}" is an order relation between subsets of A.

Example 3 03SJ

Let E, F be sets. The relation "*g extends f*" is an order relation (between ff and gg) on the set of mappings of subsets of E into F.

Example 4 03V3

In the set P(P(E))\mathfrak{P}(\mathfrak{P}(\mathrm{E})) of sets of subsets of a set E, let P\mathscr{P} be the set of partitions of E (Chapter II, § 4, no. 7). We recall that a partition ϖ\varpi is said to be coarser than a partition ϖ′\varpi' if given any Y∈ϖ′\mathrm{Y} \in \varpi' there exists X∈ϖ\mathrm{X} \in \varpi such that Y⊂X\mathrm{Y} \subset \mathrm{X} (Chapter II, § 4, no. 6). For each partition ϖ\varpi of E let ϖ~\tilde{\varpi} be the graph of the equivalence relation defined by ϖ\varpi on E (Chapter II, § 6, no. 2), that is to say, the union of the (mutually disjoint) sets A×A\mathrm{A} \times \mathrm{A}, where A runs through ϖ\varpi. The relation "ϖ\varpi is coarser than ϖ′\varpi'" is immediately seen to be equivalent to ϖ~⊃ϖ~′\tilde{\varpi} \supset \tilde{\varpi}', and is therefore an order relation on the set P\mathscr{P} between ϖ\varpi and ϖ′\varpi'.

An ordering on a set E is a correspondence Γ=(G, E, E)\Gamma = (\mathrm{G},\ \mathrm{E},\ \mathrm{E}) with E as source and as target, and such that the relation (x, y)∈G(x,\ y) \in \mathrm{G} is an order relation on E. By abuse of language we shall sometimes refer to the graph G of Γ\Gamma as an ordering on E. If R}x, y{\mathrm{R}\}x,\ y\{ is an order relation on E, it has a graph which is an ordering on E.

Proposition 1 03JA

A correspondence* Γ\Gamma between E and E is an ordering on E if and only if its graph G *satisfies the following conditions :

(a) G∘G=G\mathrm{G} \circ \mathrm{G} = \mathrm{G}.

(b) The set G∩G−1\mathrm{G} \cap \overset{-1}{\mathrm{G}} is the diagonal Δ\Delta of E×E\mathrm{E} \times \mathrm{E}.

For the relation ((x, y)∈G((x,\ y) \in \mathrm{G} and (y, z)∈G)⇒((x, z)∈G)(y,\ z) \in \mathrm{G}) \Rightarrow ((x,\ z) \in \mathrm{G}) can be written as G∘G⊂G\mathrm{G} \circ \mathrm{G} \subset \mathrm{G}, and the relation

((x, y)∈G and (y, x)∈G)⇔(x=y and x∈E and y∈E)((x,\ y) \in \mathrm{G} \text{ and } (y,\ x) \in \mathrm{G}) \Leftrightarrow (x = y \text{ and } x \in \mathrm{E} \text{ and } y \in \mathrm{E})

can be written as G∩G−1=Δ\mathrm{G} \cap \overset{-1}{\mathrm{G}} = \Delta. From G∩G−1=Δ\mathrm{G} \cap \overset{-1}{\mathrm{G}} = \Delta we then deduce Δ⊂G\Delta \subset \mathrm{G}, whence G=Δ∘G⊂G∘G\mathrm{G} = \Delta \circ \mathrm{G} \subset \mathrm{G} \circ \mathrm{G}; since also G∘G⊂G\mathrm{G} \circ \mathrm{G} \subset \mathrm{G}, we have

G∘G=G.\mathrm{G} \circ \mathrm{G} = \mathrm{G}.

2. Preorder relations

Let R{x,y}R\{x, y\} be a relation, xx and yy being distinct letters. If RR is transitive and if we have R{x,y}⇒(R{x,x}R\{x, y\} \Rightarrow (R\{x, x\} and R{y,y})R\{y, y\}), it does not necessarily follow that RR is an order relation because the relation

(R{x,y} and R{y,x})(R\{x, y\} \text{ and } R\{y, x\})

does not necessarily imply x=yx = y. R{x,y}R\{x, y\} is said to be a preorder relation between xx and yy; R{y,x}R\{y, x\} is then also a preorder relation between xx and yy, called the opposite of the relation R{x,y}R\{x, y\}.

For example, let R\mathfrak{R} be the set of subsets of P(E)\mathfrak{P}(E) which are coverings of E (Chapter II, § 4, no. 6). The relation "R\mathfrak{R} is coarser than R′\mathfrak{R}'" between elements R\mathfrak{R}, R′\mathfrak{R}' of R\mathfrak{R} (Chapter II, § 4, no. 6) is transitive and reflexive. But two distinct coverings can be such that each is coarser than the other; for example, this is the case when R′\mathfrak{R}' is the union (in P(E)\mathfrak{P}(E)) of R\mathfrak{R} and a subset of E contained in a set of R\mathfrak{R} but not belonging to R\mathfrak{R}.

But in any case the relation (R{x,y}(R\{x, y\} and R{y,x})R\{y, x\}) is an equivalence relation S{x,y}S\{x, y\} with respect to xx and yy. Let x′x', y′y' be letters distinct from xx, yy which do not appear in R. Then R{x,y}R\{x, y\} is compatible (with respect to xx and yy) with the equivalence relations S{x,x′}S\{x, x'\} and S{y,y′}S\{y, y'\}; in other words (Chapter II, § 6, no. 8), the relation

(R{x,y} and S{x,x′} and S{y,y′})(R\{x, y\} \text{ and } S\{x, x'\} \text{ and } S\{y, y'\})

implies R{x′,y′}R\{x', y'\}.

¶ A preorder relation on a set E is a preorder relation R{x,y}R\{x, y\} such that the relation R{x,x}R\{x, x\} is equivalent to x∈Ex \in E. The relation R{x,y}R\{x, y\} then implies "x∈Ex \in E and y∈Ey \in E".

¶ If R{x,y}R\{x, y\} is a preorder relation on a set E, then the relation S{x,y}S\{x, y\} defined above is an equivalence relation on E. Let R′{X,Y}R'\{X, Y\} denote the relation

X∈E/S and Y∈E/S and (∃x)(∃y)(x∈X and y∈Y and R{x,y}),X \in E/S \text{ and } Y \in E/S \text{ and } (\exists x)(\exists y)(x \in X \text{ and } y \in Y \text{ and } R\{x, y\}),

that is to say, the relation induced by R on passing to the quotient (with respect to xx and yy); we saw in Chapter II, § 6, no. 3, that it is equivalent to the relation

X∈E/S and Y∈E/S and (∀x)(∀y)((x∈X and y∈Y)⇒R{x,y}).X \in E/S \text{ and } Y \in E/S \text{ and } (\forall x)(\forall y)((x \in X \text{ and } y \in Y) \Rightarrow R\{x, y\}).

¶ Let us show that R′{X,Y}R'\{X, Y\} is an order relation between elements of E/S. The relation (R′{X,Y}(R'\{X, Y\} and R′{Y,Z})R'\{Y, Z\}) is equivalent to

X∈E/S and Y∈E/S and Z∈E/S and X \in E/S \text{ and } Y \in E/S \text{ and } Z \in E/S \text{ and }
(∀x)(∀y)(∀z)((x∈X and y∈Y and z∈Z)⇒(R{x,y} and R{y,z}))(\forall x)(\forall y)(\forall z)((x \in X \text{ and } y \in Y \text{ and } z \in Z) \Rightarrow (R\{x, y\} \text{ and } R\{y, z\}))

(Chapter I, § 4, criteria C40, C41). Since R{x,y}R\{x, y\} is transitive and Y∈E/S⇒Y≠∅Y \in E/S \Rightarrow Y \neq \emptyset (Chapter II, § 6, no. 2), it follows immediately that R′{X,Y}R'\{X, Y\} is transitive. Next, (R′{X,Y}(R'\{X, Y\} and R′{Y,X})R'\{Y, X\}) is equivalent to

X∈E/S and Y∈E/S and X \in E/S \text{ and } Y \in E/S \text{ and }
(∀x)(∀y) ((x∈X and y∈Y)⇒(R{x,y} and R{y,x})),(\forall x)(\forall y) \ ((x \in X \text{ and } y \in Y) \Rightarrow (R\{x, y\} \text{ and } R\{y, x\})),

and hence equivalent to

X∈E/S and Y∈E/S and (∀x)(∀y)((x∈X and y∈Y)⇒S{x,y}),X \in E/S \text{ and } Y \in E/S \text{ and } (\forall x)(\forall y)((x \in X \text{ and } y \in Y) \Rightarrow S\{x, y\}),

and therefore implies

X∈E/SandY∈E/SandX=Y.X \in E/S \quad \text{and} \quad Y \in E/S \quad \text{and} \quad X = Y.

Moreover, R{x,y}R\{x, y\} implies R{x,x}R\{x, x\} and R{y,y}R\{y, y\}, and hence R′{X,Y}R'\{X, Y\} implies each of the relations

X∈E/S and (∀x)((x∈X)⇒R{x,x}),X \in E/S \text{ and } (\forall x)((x \in X) \Rightarrow R\{x, x\}),
Y∈E/S and (∀y)((y∈Y)⇒R{y,y}),Y \in E/S \text{ and } (\forall y)((y \in Y) \Rightarrow R\{y, y\}),

whence R′{X,Y}R'\{X, Y\} implies (R′{X,X}(R'\{X, X\} and R′{Y,Y})R'\{Y, Y\}). Finally, since x∈Ex \in E implies R{x,x}R\{x, x\}, X∈E/SX \in E/S implies R′{X,X}R'\{X, X\}, and the proof of our assertion is complete. R′{X,Y}R'\{X, Y\} is said to be the order relation associated with R{x,y}R\{x, y\}.

¶ A preordering on a set E is a correspondence Γ=(G,E,E)\Gamma = (G, E, E) with E as source and as target, and such that (x,y)∈G(x, y) \in G is a preorder relation on E. By abuse of language we refer sometimes to the graph G of Γ\Gamma as a preordering on E. For this to be so it is necessary and sufficient that Δ⊂G\Delta \subset G and G∘G⊂GG \circ G \subset G (which implies G∘G=GG \circ G = G). The equivalence relation S corresponding to the preorder relation (x,y)∈G(x, y) \in G then has G∩G−1G \cap \overset{-1}{G} as its graph; the order relation associated with (x,y)∈G(x, y) \in G has as graph the subset G' of (E/S)×(E/S)(E/S) \times (E/S) which corresponds (Chapter II, § 6, no. 8) to the image of G under the canonical mapping of E×EE \times E onto

(E×E)/(S×S).(E \times E)/(S \times S).

Example 03JB

\* Let A be a ring with an identity element. The relation (∃z)(z∈A(\exists z)(z \in \mathrm{A} and y=zx)y = zx) between two elements xx, yy of A is a preorder relation on A; it is read "xx is a right divisor of yy" or "yy is a left multiple of xx". \

3. Notation and terminology

The definitions to be given in the remainder of this section apply to an arbitrary order (or preorder) relation R{x,y}\mathrm{R}\{x, y\} between xx and yy, but will be used mainly in the case where R{x,y}\mathrm{R}\{x, y\} is written x⩽yx \leqslant y \*(by analogy with the usual order relation between integers or real numbers)\* (or x⊂yx \subset y, or by means of some analogous sign); we shall therefore state them only for the notation x⩽yx \leqslant y, and leave to the reader the task of transcribing them into other notations. When R{x,y}\mathrm{R}\{x, y\} is written x⩽yx \leqslant y, then y⩾xy \geqslant x is synonymous with x⩽yx \leqslant y, and these relations are read "xx is smaller than yy", or "xx is less than yy", or "yy is larger than xx" or "yy is greater than xx". The relation x⩾yx \geqslant y is then the preorder relation (between xx and yy) opposite to x⩽yx \leqslant y.

By abuse of language, we shall often speak of "the relation ⩽\leqslant" instead of "the relation x⩽yx \leqslant y"; in this case "the relation ⩾\geqslant" is the opposite of "the relation ⩽\leqslant". We remark also that, in the same proof, we may often use the same sign ⩽\leqslant to denote several different order relations when there is no risk of confusion.

The conditions for a relation written x⩽yx \leqslant y to be an order relation on a set E are as follows :

(ROI_{\mathrm{I}}) The relation "x⩽yx \leqslant y and y⩽zy \leqslant z" implies x⩽zx \leqslant z. (ROII_{\mathrm{II}}) The relation "x⩽yx \leqslant y and y⩽xy \leqslant x" implies x=yx = y. (ROIII_{\mathrm{III}}) The relation x⩽yx \leqslant y implies "x⩽xx \leqslant x and y⩽yy \leqslant y". (ROIV_{\mathrm{IV}}) The relation x⩽xx \leqslant x is equivalent to x∈Ex \in \mathrm{E}.

If we leave out condition (ROII_{\mathrm{II}}), we have the conditions for x⩽yx \leqslant y to be a preorder relation on E. ¶ When an order relation is written x⩽yx \leqslant y we shall write x<yx < y (or y>xy > x) for the relation "x⩽yx \leqslant y and x≠yx \neq y"; these relations are read "xx is strictly smaller than yy", or "xx is strictly less than yy", or "yy is strictly larger than xx", or "yy is strictly greater than xx".

The example of the inclusion relation shows that the negation of x⩽yx \leqslant y (sometimes denoted by x≰yx \nleqslant y) is not necessarily equivalent to y<xy < x (cf. no. 12).

C58. Let ⩽\leqslant be an order relation, and let xx, yy be two distinct letters. The relation x⩽yx \leqslant y is equivalent to "x<yx < y or x=yx = y". Each of the relations "x⩽yx \leqslant y and y<zy < z", "x<yx < y and y⩽zy \leqslant z" implies x<zx < z.

The first assertion follows from the criterion A⇒((AA \Rightarrow ((A and (not BB)) or BB) (Chapter I, § 3, criterion C24). To prove the second assertion, we remark that each of the hypotheses implies x⩽zx \leqslant z, by transitivity; and the relation (x=zx = z and x⩽yx \leqslant y and y⩽zy \leqslant z) would imply x=y=zx = y = z, contrary to the hypothesis.

¶ In order to make matters easier and to replace metamathematical criteria by mathematical theorems we shall usually consider a theory T\mathscr{T} which contains the axioms and axiom schemes of the theory of sets, and in addition, two constants E and Γ\Gamma satisfying the axiom

"Γ\Gamma is an ordering on the set E" (no. 1).

We shall denote by x⩽yx \leqslant y the relation y∈Γ⟨x⟩y \in \Gamma\langle x \rangle, and we shall say that the set E is ordered by the ordering Γ\Gamma (or by the order relation y∈Γ⟨x⟩y \in \Gamma\langle x \rangle) (cf. Chapter IV, § 1).

¶ Whenever, in T\mathscr{T}, Γ\Gamma is a preordering on E, we say likewise that E is preordered by the preordering Γ\Gamma.

In some situations (for example in the following definition) the theories which we shall consider are a little more complicated. We shall leave it to the reader to make explicit the constants and axioms of such theories.

Let E, E′' be two sets ordered by orderings Γ\Gamma, Γ′\Gamma'. An isomorphism of E onto E′' (for the orderings Γ\Gamma and Γ′\Gamma') is a bijection ff of E onto E′' such that the relations x⩽yx \leqslant y and f(x)⩽f(y)f(x) \leqslant f(y) are equivalent (cf. Chapter IV, § 1).

4. Ordered subsets. Product of ordered sets

Let E be a set ordered by an ordering Γ\Gamma, with graph G. For each subset A of E, G∩(A×A)G \cap (A \times A) is an ordering on A; the corresponding order relation is equivalent to "x⩽yx \leqslant y and x∈Ax \in A and y∈Ay \in A", and we shall denote it simply by x⩽yx \leqslant y (by abuse of language). The ordering and the order relation thus defined on A are said to be induced by the ordering and order relation given on E; and the ordering and order relation on E are said to be extensions of the ordering and order relation which they induce on A. Whenever we consider A as an ordered set we have in mind the ordering induced on A by that on E, unless the contrary is expressly stated.

Examples. The relations induced by the inclusion relation X⊂YX \subset Y on various sets of subsets are of considerable importance. Here are some examples :

Example 1 03WB

Let E, F be two sets, and let Φ(E,F)\Phi(E, F) be the set of all mappings of subsets of E into F. For each f∈Φ(E,F)f \in \Phi(E, F) let GfG_f be the graph of ff, which is a subset of E×FE \times F. If we endow Φ(E,F)\Phi(E, F) with the order relation "*g extends f*" between ff and gg (no. 1, Example 3), then f→Gff \to G_f is an isomorphism of the ordered set Φ(E,F)\Phi(E, F) onto a subset of P(E×F)\mathfrak{P}(E \times F), ordered by inclusion.

Example 2 03WC

For each partition ϖ\varpi of a set E, let ϖ~\tilde{\varpi} be the graph of the equivalence relation defined by ϖ\varpi on E. The mapping ϖ→ϖ~\varpi \to \tilde{\varpi} is an isomorphism of the set L\mathfrak{L} of partitions of E, ordered by the relation "ϖ\varpi is finer than ϖ′\varpi'" between ϖ\varpi and ϖ′\varpi' (no. 1, Example 4) onto a subset of P(E×E)\mathfrak{P}(E \times E), ordered by inclusion.

Example 3 03WD

Let E be a set and let Ω⊂P(E×E)\Omega \subset \mathfrak{P}(E \times E) be the set of graphs of preorderings on E (no. 2) (or, by abuse of language, the set of all preorderings on E). The order relation s⊂ts \subset t between ss and tt, induced on Ω\Omega by the inclusion relation on P(E×E)\mathfrak{P}(E \times E), is expressed by saying that "the preordering ss is finer than tt" (or that "tt is coarser than ss"). Let x(s)yx(s)y and x(t)yx(t)y respectively denote the preorder relations (x,y)∈s(x, y) \in s and (x,y)∈t(x, y) \in t on E; then to say that ss is finer than tt is equivalent to saying that the relation x(s)yx(s)y implies x(t)yx(t)y.

Let (Eι)ι∈I(E_\iota)_{\iota \in I} be a family of sets, and for each index ι∈I\iota \in I let Γι\Gamma_\iota be an ordering on EιE_\iota; let Gι⊂Eι×EιG_\iota \subset E_\iota \times E_\iota be its graph, and let xι⩽yιx_\iota \leqslant y_\iota denote the order relation (xι,yι)∈Gι(x_\iota, y_\iota) \in G_\iota on EιE_\iota. On the product set F=∏ι∈IEιF = \prod_{\iota \in I} E_\iota, the relation

(∀ι) ((ι∈I)⇒(xι⩽yι))(\forall \iota) \, ((\iota \in I) \Rightarrow (x_\iota \leqslant y_\iota))

is an order relation between x=(xι)x = (x_\iota) and y=(yι)y = (y_\iota), as is immediately verified. The ordering and the order relation so defined on F are called the product of the orderings Γι\Gamma_\iota and the product of the order relations xι⩽yιx_\iota \leqslant y_\iota; this relation is written x⩽yx \leqslant y, and the set F, ordered by the product of the orderings Γι\Gamma_\iota, is called the product of the ordered sets EιE_\iota.

It is immediately verified that the graph of the product ordering on F is the image of the product set ∏ι∈IGι\prod_{\iota \in I} G_\iota under the canonical mapping of ∏ι∈I(Eι×Eι)\prod_{\iota \in I} (E_\iota \times E_\iota) onto F×FF \times F (Chapter II, § 5, no. 5).

An important example of a product of ordered sets is the set FEF^E of graphs of mappings of a set E into an ordered set F. There is a canonical bijection of FEF^E onto the set F(E,F)\mathfrak{F}(E, F) of mappings of E into F, and this mapping is an isomorphism of the ordered set FEF^E onto F(E,F)\mathfrak{F}(E, F) endowed with the ordering defined by the relation "for all x∈Ex \in E, f(x)⩽g(x)f(x) \leqslant g(x)" between two mappings ff, gg of E into F. This relation is written f⩽gf \leqslant g.

☡

It should be observed that in the ordered set F(E,F)\mathfrak{F}(E, F), the relation f<gf < g means

"for all x∈E,f(x)⩽g(x), and there exists y∈E such that f(y)<g(y)"\text{"for all } x \in E, f(x) \leqslant g(x), \text{ and there exists } y \in E \text{ such that } f(y) < g(y)\text{"}
and not
"for all x∈E,f(x)<g(x)".\text{"for all } x \in E, f(x) < g(x)\text{"}.

In order to avoid confusion it is better not to use the notation f<gf < g in this situation.

The definitions of this subsection apply without change to preordered sets when "ordering" is replaced by "preordering" throughout.

5. Increasing mappings

Definition 1 03JC

Let* E and F be preordered sets (the preorder relation in each being denoted by ⩽\leqslant). A mapping f of E into F is said to be increasing (or order-preserving) if the relation x⩽yx \leqslant y implies f(x)⩽f(y)f(x) \leqslant f(y); it is decreasing (or order-reversing) if the relation x⩽yx \leqslant y implies f(x)⩾f(y)f(x) \geqslant f(y). A mapping of E into F *is said to be monotone if it is either increasing or decreasing.

An increasing mapping of E into F becomes decreasing (and vice versa) when we replace one of the preorderings on E or on F by the opposite preordering. Every constant function is both increasing and decreasing; the converse of this statement is usually not true.

For example, if a set E is ordered by the equality relation, the identity mapping of E onto itself is both increasing and decreasing, but not constant if E has more than one element (cf. Exercise 7).

Definition 2 03JD

Let* E and F be two ordered sets. A mapping f of E into F is said to be strictly increasing (or strictly order-preserving) if the relation x<yx < y implies f(x)<f(y)f(x) < f(y); f is said to be strictly decreasing (or strictly order-reversing) if the relation x<yx < y implies f(x)>f(y)f(x) > f(y). A mapping of E into F *is said to be strictly monotone if it is either strictly increasing or strictly decreasing.

Examples

Example 1 03SK

Let E be a set. The mapping X→E−XX \rightarrow E - X of P(E)\mathfrak{P}(E) (ordered by inclusion) onto itself is strictly decreasing.

Example 2 03SL

Let E be an ordered set. For each x∈Ex \in E let UxU_x be the set of all y∈Ey \in E such that y⩾xy \geqslant x. The mapping x→Uxx \to U_x is a strictly decreasing mapping of E into P(E)\mathfrak{P}(E) (ordered by inclusion); indeed, the relation x⩽yx \leqslant y is equivalent to Ux⊃UyU_x \supset U_y.

An injective monotone mapping of an ordered set E into an ordered set F is strictly monotone; the converse is usually not true, because it may happen that f(x)=f(y)f(x) = f(y) when neither of the relations x⩽yx \leqslant y, x⩾yx \geqslant y is true (cf. no. 12, Proposition 11).

¶ A bijective mapping ff of an ordered set E onto an ordered set E' is an isomorphism of E onto E' (no. 3) if and only if both ff and its inverse mapping are increasing.

¶ If I is an ordered index set, a family of subsets (Xι)ι∈I(X_\iota)_{\iota \in I} of a set E is said to be increasing if ι→Xι\iota \to X_\iota is an increasing mapping of I into P(E)\mathfrak{P}(E), ordered by inclusion (in other words, if ι⩽ϰ\iota \leqslant \varkappa implies Xι⊂XϰX_\iota \subset X_\varkappa). Similarly we define a decreasing, strictly increasing, or strictly decreasing family of subsets (Xι)ι∈I(X_\iota)_{\iota \in I}.

Proposition 2 03JE

Let* E, E' be two ordered sets, and let u:E→E′u : E \to E' and v:E′→Ev : E' \to E be two decreasing mappings such that for all x∈Ex \in E and all x′∈E′x' \in E' we have v(u(x))⩾xv(u(x)) \geqslant x and u(v(x′))⩾x′u(v(x')) \geqslant x'. *Then

u∘v∘u=uandv∘u∘v=v.u \circ v \circ u = u \quad \textit{and} \quad v \circ u \circ v = v.

For the relation v(u(x))⩾xv(u(x)) \geqslant x implies (u(v(u(x)))⩽u(x)(u(v(u(x))) \leqslant u(x) because uu is decreasing; on the other hand, we have u(v(u(x)))⩾u(x)u(v(u(x))) \geqslant u(x) by replacing x′x' by u(x)u(x) in the inequality u(v(x′))⩾x′u(v(x')) \geqslant x'. Hence the first equality; the proof of the second is similar.

6. Maximal and minimal elements

Definition 3 03JF

Let* E be an ordered set. An element a∈Ea \in E is said to be a minimal (resp. maximal) element of E if the relation x⩽ax \leqslant a (resp. x⩾ax \geqslant a) implies x=ax = a.

Every minimal element of E is a maximal element with respect to the opposite ordering, and vice versa.

Examples

Example 1 03SM

Let A be a set. In the subset of P(A)\mathfrak{P}(A) (ordered by inclusion) consisting of the non-empty subsets of A, the minimal elements are the subsets consisting of a single element.

Example 2 03SN

In the set Φ(E,F)\Phi(E, F) of mappings of subsets of E into F (F being non-empty), ordered by the relation "vv extends uu" between uu and vv, the maximal elements are the mappings of the whole of E into F.

Example 3 03SO

\* In the set of natural integers >1> 1, ordered by the relation "mm divides nn" between mm and nn, the minimal elements are the prime numbers. \

Example 4 03SP

\* The set of real numbers has no maximal element and no minimal element. \

7. Greatest element and least element

If there exists an element aa in an ordered set E such that a⩽xa \leqslant x for all x∈Ex \in E, then aa is the only element of E with this property; for if also b⩽xb \leqslant x for all x∈Ex \in E, then we should have a⩽ba \leqslant b and b⩽ab \leqslant a, and consequently a=ba = b.

Definition 4 03JG

Let* E be an ordered set. An element a∈Ea \in E is said to be the least (resp. greatest) element of E if for all x∈Ex \in E we have a⩽xa \leqslant x (resp. x⩽ax \leqslant a).

An ordered set need not have a greatest element nor a least element. If E has a least element aa, then aa is the greatest element with respect to the opposite ordering.

¶ If E has a least element aa, then aa is the unique minimal element of E; for if x∈Ex \in E is distinct from aa, we have a<xa < x.

Examples

Example 1 03SQ

Let S\mathfrak{S} be a non-empty subset of the set P(E)\mathfrak{P}(E) of subsets of a set E. If S\mathfrak{S} has a least (resp. greatest) element A with respect to the inclusion relation, then A is the intersection (resp. union) of the sets of S\mathfrak{S}. Conversely, if the intersection (resp. union) of the sets of S\mathfrak{S} belongs to S\mathfrak{S}, then it is the least (resp. greatest) element of S\mathfrak{S}.

Example 2 03SR

In particular, ∅\emptyset is the least element and E the greatest element of P(E)\mathfrak{P}(E). In the set Φ(E,F)\Phi(E, F) of mappings of subsets of E into F, ordered by extension of mappings (no. 1, Example 3), the empty mapping is the least element, and there is no greatest element unless F consists of a single element. The diagonal Δ\Delta of E×EE \times E is the least element of the set of graphs of equivalence relations on E (or of the set of preorderings on E).

Proposition 3 03JH

Let* E be an ordered set and let E′' be the disjoint union of E and a set {a}\{a\} consisting of a single element. Then there exists a unique ordering on E′' which induces the given ordering on E and for which aa is the greatest element of E′'.

For if G is the graph of the ordering on E, the graph of an ordering on E′' which satisfies the conditions of the Proposition must be the union G′' of G and the set of all pairs (x,a)(x, a) where x∈E′x \in E'; conversely, it is clear that G′' is the graph of an ordering on E′' which satisfies the given conditions.

¶ The ordered set E′' is said to be obtained by adjoining a greatest element aa to E (cf. Exercise 3).

¶ A subset AA of a preordered set EE is said to be cofinal (resp. coinitial) in EE if for every x∈Ex\in E there exists y∈Ay\in A such that x≤yx\leq y (resp. y≤xy\leq x). To say that an ordered set EE has a greatest (resp. least) element therefore means that EE has a cofinal (resp. coinitial) subset consisting of a single element.

8. Upper and lower bounds

Definition 5 03JI

Let EE be a preordered set and let XX be a subset of EE. Any element x∈Ex\in E such that x≤yx\leq y (resp. x≥yx\geq y) for all y∈Xy\in X is called a lower (resp. upper) bound of XX in EE.

Every upper bound of XX is a lower bound of XX with respect to the opposite ordering, and vice versa.

¶ If xx is a lower bound of XX, every element z≤xz\leq x is also a lower bound of XX. A lower bound of XX is also a lower bound of every subset of XX. An ordered set XX has a least element if and only if there exists a lower bound of XX which belongs to XX.

¶ The set of lower bounds of a subset XX of a preordered set EE may be empty : this is the case when X=EX=E and EE is an ordered set which has no least element.

¶ A subset XX of EE whose set of lower (resp. upper) bounds is not empty is said to be bounded below (resp. bounded above). A subset which is bounded both below and above is said to be bounded. If XX is bounded below (resp. bounded above, bounded), the same is true of every subset of XX.

Every subset consisting of a single element is bounded. But a subset consisting of two elements need not be bounded either above or below (no. 10).

Let EE be a preordered set and let ff be a mapping of an arbitrary set AA into EE. The mapping ff is said (by abuse of language) to be bounded below (resp. bounded above, bounded) if the set f(A)f(A) is bounded below (resp. bounded above, bounded) in EE.

9. Least upper bound and greatest lower bound

Definition 6 03JJ

Let EE be an ordered set and let XX be a subset of EE. An element of EE is said to be the greatest lower bound or infimum (resp. least upper bound or supremum) of XX in EE if it is the greatest (resp. least) element of the set of lower (resp. upper) bounds of XX in EE.

Given a subset XX of an ordered set EE, the least upper bound (resp. greatest lower bound) of XX in EE, when it exists, is denoted by

sup⁡EX(resp. inf⁡EX) \sup_E X\quad\text{(resp. }\inf_E X\text{)}

or by sup X (resp. inf X) if there is no risk of ambiguity. The least upper bound (resp. greatest lower bound) of a set {x,y}\{x, y\} of two elements, when it exists, is denoted by sup (x,y)(x, y) (resp. inf (x,y)(x, y)). Similarly for the least upper bound and greatest lower bound of a set of three elements, etc.

¶ If a subset X of E has a greatest element aa, then aa is the least upper bound of X in E.

¶ If X has a greatest lower bound aa in E, then aa is the least upper bound of X with respect to the opposite ordering on E. For this reason we may restrict ourselves for the most part, in what follows, to consideration of the properties of least upper bounds.

Examples

(1) The set of upper bounds of the empty set ∅\emptyset in an ordered set E is evidently E itself; hence ∅\emptyset has a supremum in E if and only if E has a least element, which is then the least upper bound of ∅\emptyset.

(2) In the set P(E)\mathfrak{P}(E) of subsets of a set E, ordered by inclusion, every subset S\mathfrak{S} of P(E)\mathfrak{P}(E) has a least upper bound, namely the union of the sets of S\mathfrak{S}, and a greatest lower bound, namely the intersection of the sets of S\mathfrak{S}.

(3) Let E, F be two sets and let Θ\Theta be a subset of the Φ(E,F)\Phi(E, F) of mappings of subsets of E into F, ordered by extension of mappings (no. 1, Example 3). For each u∈Φ(E,F)u \in \Phi(E, F) let D(u)D(u) be the domain of uu. The condition for the existence of a common extension of a family of mappings belonging to Φ(E,F)\Phi(E, F) (Chapter II, § 4, no. 6, Proposition 7) shows that Θ\Theta has a least upper bound in Φ(E,F)\Phi(E, F) if and only if for each pair (u,v)(u, v) of elements of Θ\Theta we have u(x)=v(x)u(x) = v(x) whenever x∈D(u)∩D(v)x \in D(u) \cap D(v).

A mapping ff of a set A into an ordered set E is said to have a least upper bound if the image f(A)f(A) has a least upper bound in E; this bound is then called the least upper bound of f and is written sup⁡x∈Af(x)\sup_{x \in A} f(x). Similarly for the greatest lower bound.

In particular, if a subset A of E has a least upper bound in E, this bound is the least upper bound of the canonical injection of A into E, and may therefore be written as sup⁡x∈Ax\sup_{x \in A} x.

Proposition 4 03JK

Let* E be an ordered set and let A be a subset of E which has both a greatest lower bound and a least upper bound in E. Then inf⁡A⩽sup⁡A\inf A \leqslant \sup A if A≠∅A \neq \emptyset; if A=∅A = \emptyset, sup⁡A\sup A is the least and inf⁡A\inf A the greatest element of E.

This follows immediately from the definitions.

Proposition 5 03JL

Let* E be an ordered set and let A, B be two subsets of E, each of which has a least upper bound (resp. greatest lower bound) in E. If A⊂BA \subset B, then sup⁡A⩽sup⁡B\sup A \leqslant \sup B (resp. inf⁡A⩾inf⁡B\inf A \geqslant \inf B).

Corollary 03JM

Let (xι)ι∈I(x_\iota)_{\iota \in I} be a family of elements of an ordered set* E\mathrm{E} which has a least upper bound in E\mathrm{E}. If J\mathrm{J} is a subset of I\mathrm{I} such that the family (xι)ι∈J(x_\iota)_{\iota \in J} has a least upper bound in E\mathrm{E}, we have sup⁡ι∈Jxι⩽sup⁡ι∈Ixι\sup\limits_{\iota \in J} x_\iota \leqslant \sup\limits_{\iota \in I} x_\iota.

Proposition 6 03JN

Let* (xι)ι∈I(x_\iota)_{\iota \in I}, (yι)ι∈I(y_\iota)_{\iota \in I} be two families of elements of an ordered set E\mathrm{E}, indexed by the same set I\mathrm{I}, and such that xι⩽yιx_\iota \leqslant y_\iota for all ι∈I\iota \in \mathrm{I}. If both families have a least upper bound in E\mathrm{E}, then sup⁡ι∈Ixι⩽sup⁡ι∈Iyι\sup\limits_{\iota \in I} x_\iota \leqslant \sup\limits_{\iota \in I} y_\iota.

For a=sup⁡ι∈Iyιa = \sup\limits_{\iota \in I} y_\iota is an upper bound of the set of the yιy_\iota, so that xι⩽yι⩽ax_\iota \leqslant y_\iota \leqslant a for all ι∈I\iota \in \mathrm{I}, and hence sup⁡ι∈Ixι⩽a\sup\limits_{\iota \in I} x_\iota \leqslant a.

Proposition 7 03JO

Let* (xι)ι∈I(x_\iota)_{\iota \in I} be a family of elements of an ordered set E\mathrm{E}, and let (Jλ)λ∈L(\mathrm{J}_\lambda)_{\lambda \in L} be a covering of the index set I\mathrm{I}. Suppose that each of the subfamilies (xι)ι∈Jλ(x_\iota)_{\iota \in J_\lambda} has a least upper bound in E\mathrm{E}. For the family (xι)ι∈I(x_\iota)_{\iota \in I} to have a least upper bound in E\mathrm{E}, it is necessary and sufficient that the family (sup⁡ι∈Jλxι)λ∈L\left( \sup\limits_{\iota \in J_\lambda} x_\iota \right)_{\lambda \in L} should have a least upper bound in E\mathrm{E}, *and then we have

(1)sup⁡ι∈Ixι=sup⁡λ∈L(sup⁡ι∈Jλxι).(1) \qquad \sup_{\iota \in I} x_\iota = \sup_{\lambda \in L} \left( \sup_{\iota \in J_\lambda} x_\iota \right).

Let bλ=sup⁡ι∈Jλxιb_\lambda = \sup\limits_{\iota \in J_\lambda} x_\iota. Suppose that (xι)ι∈I(x_\iota)_{\iota \in I} has a least upper bound aa. Then a⩾bλa \geqslant b_\lambda for each λ∈L\lambda \in \mathrm{L} (Corollary to Proposition 5). On the other hand, if c⩾bλc \geqslant b_\lambda for each λ∈L\lambda \in \mathrm{L}, then we have c⩾xιc \geqslant x_\iota for each ι∈I\iota \in \mathrm{I}, because (Jλ)λ∈L(\mathrm{J}_\lambda)_{\lambda \in L} is a covering of I\mathrm{I}; hence c⩾ac \geqslant a, which proves that

a=sup⁡λ∈Lbλ.a = \sup_{\lambda \in L} b_\lambda.

Conversely, suppose that the family (bλ)λ∈L(b_\lambda)_{\lambda \in L} has a least upper bound a′a'. Then a′⩾xιa' \geqslant x_\iota for all ι∈I\iota \in \mathrm{I}. On the other hand, if c′⩾xιc' \geqslant x_\iota for all ι∈I\iota \in \mathrm{I}, then we have in particular

c′⩾sup⁡ι∈Jλxι=bλc' \geqslant \sup_{\iota \in J_\lambda} x_\iota = b_\lambda

for each λ∈L\lambda \in \mathrm{L}, so that c′⩾a′c' \geqslant a' and therefore

a′=sup⁡ι∈Ixι.a' = \sup_{\iota \in I} x_\iota.

Corollary 03JP

Let* (xλμ)(λ, μ)∈L×M(x_{\lambda\mu})_{(\lambda,\ \mu) \in L \times M} be a "double" family of elements of an ordered set E\mathrm{E} such that for each μ∈M\mu \in \mathrm{M} the family (xλμ)λ∈L(x_{\lambda\mu})_{\lambda \in L} has a least upper bound in E\mathrm{E}. For the family (xλμ)(λ, μ)∈L×M(x_{\lambda\mu})_{(\lambda,\ \mu) \in L \times M} to have a least upper bound in E\mathrm{E}, it is necessary and sufficient that the family (sup⁡λ∈Lxλμ)μ∈M\left( \sup\limits_{\lambda \in L} x_{\lambda\mu} \right)_{\mu \in M} should have a least upper bound in E, *and then we have

(2)sup⁡(λ, μ)∈L×Mxλμ=sup⁡μ∈M(sup⁡λ∈Lxλμ).(2) \qquad \sup_{(\lambda,\,\mu)\in L\times M} x_{\lambda\mu} = \sup_{\mu\in M}\left(\sup_{\lambda\in L} x_{\lambda\mu}\right).

Proposition 8 03QI

Let* (Eι)ι∈I(E_\iota)_{\iota\in I} be a family of ordered sets. Let A be a subset of the product ordered set E=∏ι∈IEιE = \prod_{\iota\in I} E_\iota, and let Aι=prιAA_\iota = \mathrm{pr}_\iota A for each ι∈I\iota \in I. For A to have a least upper bound in E it is necessary and sufficient that, for each ι∈I\iota \in I, AιA_\iota should have a least upper bound in EιE_\iota, *and then we have

sup⁡A=(sup⁡Aι)ι∈I=(sup⁡x∈Aprιx)ι∈I.\sup A = (\sup A_\iota)_{\iota\in I} = \left(\sup_{x\in A} \mathrm{pr}_\iota x\right)_{\iota\in I}.

Suppose that, for each ι∈I\iota \in I, AιA_\iota has a least upper bound bιb_\iota in EιE_\iota. To say that c=(cι)c = (c_\iota) is an upper bound of A then means that cι⩾bιc_\iota \geqslant b_\iota for each ι∈I\iota \in I, hence (bι)ι∈I(b_\iota)_{\iota\in I} is an upper bound of A. Conversely, suppose that A has a least upper bound a=(aι)ι∈Ia = (a_\iota)_{\iota\in I}; for each ϰ∈I\varkappa \in I, aϰa_\varkappa is an upper bound of AϰA_\varkappa, because if xϰ∈Aϰx_\varkappa \in A_\varkappa, there exists x∈Ax \in A such that prϰx=xϰ\mathrm{pr}_\varkappa x = x_\varkappa, by the definition of AϰA_\varkappa; on the other hand, if aϰ′a'_\varkappa is an upper bound of AϰA_\varkappa in EϰE_\varkappa, the element c′=(cι′)ι∈Ic' = (c'_\iota)_{\iota\in I} for which

cι′=aιforι≠ϰandcϰ′=aϰ′c'_\iota = a_\iota \quad \text{for} \quad \iota \neq \varkappa \qquad \text{and} \qquad c'_\varkappa = a'_\varkappa

is an upper bound of A; consequently c′⩾ac' \geqslant a and therefore aϰ′⩾aϰa'_\varkappa \geqslant a_\varkappa; hence aϰa_\varkappa is the least upper bound of AϰA_\varkappa in EϰE_\varkappa.

☡

¶ Let F be a subset of an ordered set E, and let A be a subset of F. It can happen that one of the two elements sup⁡EA\sup_E A, sup⁡FA\sup_F A exists but the other does not, or that both exist but are unequal.

Examples

Example 1 03SS

\* In the ordered set E=RE = \mathbf{R} of real numbers, consider the subset F=QF = \mathbf{Q} of rational numbers and the set A⊂FA \subset F of rational numbers <2< \sqrt{2}; sup⁡EA\sup_E A exists but sup⁡FA\sup_F A does not.

Example 2 03ST

In the notation of Example 1, let G be the union of A and the set {2}\{2\}; then G⊂FG \subset F and sup⁡GA\sup_G A exists, but sup⁡FA\sup_F A does not.

Example 3 03SU

With the same notation, sup⁡EA=2\sup_E A = \sqrt{2}, sup⁡GA=2\sup_G A = 2. \

However, we have the following result :

Proposition 9 03QJ

Let* E be an ordered set, F a subset of E, A a subset of F. If both sup⁡EA\sup_E A and sup⁡FA\sup_F A exist, we have sup⁡EA⩽sup⁡FA\sup_E A \leqslant \sup_F A. If sup⁡EA\sup_E A exists and belongs to F, then sup⁡FA\sup_F A exists and is equal to sup⁡EA\sup_E A.

The first assertion follows from the fact that the set M\mathrm{M} of upper bounds of A in F is contained in the set N of upper bounds of A in E, and from Proposition 5. On the other hand, if the least element of N lies in F, then it belongs to M and is clearly the least element of M; this proves the second assertion.

10. Directed sets

Definition 7 03QK

A preordered set* E is said to be right directed (resp. left directed) if every subset of two elements of E is bounded above (resp. bounded below).

In place of "right directed" we shall often use the expression "directed with respect to the relation ⩽\leqslant", and analogous expressions when the preorder relation is denoted by some other sign. For example, if S\mathfrak{S} is a set of subsets of a set A, we say that S\mathfrak{S} is directed with respect to the relation ⊂\subset (resp. ⊃\supset) if, for each subset {X,Y}\{\mathrm{X}, \mathrm{Y}\} consisting of two elements of S\mathfrak{S}, there exists Z∈S\mathrm{Z} \in \mathfrak{S} such that X⊂Z\mathrm{X} \subset \mathrm{Z} and Y⊂Z\mathrm{Y} \subset \mathrm{Z} (resp. X⊃Z\mathrm{X} \supset \mathrm{Z} and Y⊃Z\mathrm{Y} \supset \mathrm{Z}).

Examples* (1) An ordered set which has a greatest element is right directed. \* (2) In a topological space, a fundamental system of neighbourhoods of a point is directed with respect to the relation ⊃\supset. (3) The set of submodules of finite type of an arbitrary module is directed with respect to the relation ⊂\subset. \

Proposition 10 03QL

In a right directed ordered set* E, a maximal element a is the greatest element of E.

For every x∈Ex \in \mathrm{E} there exists by hypothesis y∈Ey \in \mathrm{E} such that x⩽yx \leqslant y and a⩽ya \leqslant y; since aa is maximal, y=ay = a.

¶ A right directed preordered set is left directed with respect to the opposite ordering. Any product of right directed sets is right directed. On the other hand, a subset of a right directed set is not necessarily right directed. However, a cofinal subset F of a right directed set E is always right directed; for given xx, y∈Fy \in \mathrm{F} there exists z∈Ez \in \mathrm{E} such that x⩽zx \leqslant z and y⩽zy \leqslant z, and then t∈Ft \in \mathrm{F} such that z⩽tz \leqslant t.

11. Lattices

Definition 8 03QM

An ordered set* E is said to be a lattice if every subset consisting of two elements of E has a least upper bound and a greatest lower bound in E.

Every product of lattices is a lattice; this follows from the condition for the existence of a least upper bound in a product of ordered sets (no. 9, Proposition 8). The set of subsets of a set A, ordered by inclusion, is a lattice because the union and intersection of two subsets of A are again subsets of A.

Examples

Example 1 03SV

\* The set of integers ⩾1\geqslant 1, ordered by the relation “mm divides nn” between mm and nn, is a lattice; the least upper bound of {m,n}\{m,n\} is the l.c.m. of mm and nn, and the greatest lower bound is their h.c.f.

Example 2 03TT

The set of subgroups of a group G, ordered by inclusion, is a lattice.

Example 3 03TU

The set of topologies on a set A, ordered by the relation “T\mathscr{T} is coarser than T′\mathscr{T}'” between T\mathscr{T} and T′\mathscr{T}', is a lattice. (General Topology, Chapter I, § 2).

Example 4 03TV

The set F(I,R)\mathfrak{F}(I,\mathbf{R}) of all real-valued functions defined on an interval I of R\mathbf{R} is a lattice with respect to the order relation f⩽gf\leqslant g (no. 4), and as such is isomorphic to the product RI\mathbf{R}^{I}. \

Remark 03JQ

A lattice is obviously both left and right directed. But an ordered set which is both left and right directed is not necessarily a lattice. \* An example of the latter is the set of mappings x↦p(x)x\mapsto p(x) of R\mathbf{R} into itself, where pp is a polynomial in R[X]\mathbf{R}[X], this set being ordered by the relation p⩽qp\leqslant q (no. 4). \

12. Totally ordered sets

Definition 9 03JR

Two elements xx, yy of a preordered set E are said to be comparable if the relation “x⩽yx\leqslant y or y⩽xy\leqslant x” is true. A set E is said to be totally ordered if it is ordered and if any two elements of E are comparable. The ordering on E is then said to be a total ordering, and the corresponding order relation a total order relation.

If xx and yy are elements of a totally ordered set, then x=yx=y or x<yx<y or x>yx>y; the negation of x⩽yx\leqslant y is thus x>yx>y.

An ordering on E is a total ordering if and only if its graph G satisfies the relation G∪G−1=E×EG\cup\overset{-1}{G}=E\times E, as well as the relations G∘G=GG\circ G=G and G∩G−1=ΔG\cap\overset{-1}{G}=\Delta.

Examples

Example 1 03SW

Every subset of a totally ordered set is totally ordered by the induced ordering.

Example 2 03TW

Let E be an arbitrary ordered set. The empty subset of E is totally ordered, and so is every subset of E consisting of a single element.

Example 3 03TX

\* The set R\mathbf{R} of real numbers is totally ordered. \

Example 4 03TY

If A is a set which has at least two distinct elements, the set P(A)\mathfrak{P}(A) (ordered by inclusion) is not totally ordered, for if x≠yx\neq y, the subsets {x}\{x\} and {y}\{y\} are not comparable.

A totally ordered set is also totally ordered with respect to the opposite ordering; it is a lattice and a fortiori both left and right directed.

Proposition 11 03JS

Every strictly monotone mapping ff of a totally ordered set* E into an ordered set F is injective. If ff is strictly increasing, ff is an isomorphism of E *onto f(E)f(\mathrm{E}).

For x≠yx \neq y implies that either x<yx < y or x>yx > y; hence

f(x)<f(y)orf(x)>f(y),f(x) < f(y) \qquad \text{or} \qquad f(x) > f(y),

so that f(x)≠f(y)f(x) \neq f(y) in either case. It remains to be shown that if ff is strictly increasing, f(x)⩽f(y)f(x) \leqslant f(y) implies x⩽yx \leqslant y; if not, we should have x>yx > y, and therefore f(x)>f(y)f(x) > f(y).

Proposition 12 03JT

Let* E be a totally ordered set and let X be a subset of E. For an element bb of E to be the least upper bound of X in E, it is necessary and sufficient that (1) bb is an upper bound of X, (2) *for every c∈Ec \in \mathrm{E} such that c<bc < b, there exists x∈Xx \in \mathrm{X} such that c<x⩽bc < x \leqslant b.

The second condition says that no element c<bc < b is an upper bound of X, i.e., bb is a minimal element of the set M of upper bounds of X; but this is the same as saying that bb is the least element of M, since M is totally ordered (no. 10, Proposition 10).

13. Intervals

Let E be an ordered set and let aa, bb be two elements of E such that a⩽ba \leqslant b. The subset of E consisting of elements xx such that a⩽x⩽ba \leqslant x \leqslant b is called the closed interval with left-hand endpoint a and right-hand endpoint b, and is denoted by [a,b][a, b]. The set of all x∈Ex \in \mathrm{E} such that a⩽x<ba \leqslant x < b (resp. a<x⩽ba < x \leqslant b) is called the interval half-open on the right (resp. on the left) with endpoints aa and bb, and is denoted by [a,b[[a, b[ (resp. ]a,b]]a, b]). The set of all x∈Ex \in \mathrm{E} such that a<x<ba < x < b is called the open interval with endpoints aa and bb, and is denoted by ]a,b[]a, b[.

Note that a closed interval is never empty; the interval [a,a][a, a] is the set {a}\{a\}. On the other hand, the intervals [a,a[[a, a[, ]a,a]]a, a], ]a,a[]a, a[ are all empty; and an open interval ]a,b[]a, b[ may be empty even when a<ba < b.

Let aa be an element of E. The set of all x∈Ex \in \mathrm{E} such that x⩽ax \leqslant a (resp. x<ax < a) is called the closed (resp. open) interval unbounded on the left, with right-hand endpoint a, and is denoted by ]←,a]]{\leftarrow}, a] (resp. ]←,a[]{\leftarrow}, a[); likewise, the set of all x∈Ex \in \mathrm{E} such that x⩾ax \geqslant a (resp. x>ax > a) is called the closed (resp. open) interval with left-hand endpoint a, unbounded on the right, and is denoted by [a,→[[a, {\rightarrow}[ (resp. ]a,→[]a, {\rightarrow}[). Finally, E itself may be regarded as the open interval unbounded on the left and on the right, denoted by ]←,→[]\leftarrow, \rightarrow[.

Proposition 13 03JU

In a lattice, the intersection of two intervals is an interval.* Consider for example the intersection of two closed intervals [a,b][a, b] and [c,d][c, d], and let α=sup⁡(a,c)\alpha = \sup (a, c), β=inf⁡(b,d)\beta = \inf (b, d). If both a⩽x⩽ba \leqslant x \leqslant b and c⩽x⩽dc \leqslant x \leqslant d, then we have α⩽x⩽β\alpha \leqslant x \leqslant \beta, and conversely; if α⩽̸β\alpha \not\leqslant \beta, the intersection of [a,b][a, b] and [c,d][c, d] is empty; if α⩽β\alpha \leqslant \beta, this intersection is [α,β][\alpha, \beta]. We leave it to the reader to carry through the proof for the other cases.

Exercises

See the exercises for § 1.

Transcribed from the printed edition, 2004, Springer. Not translated.