1. Order relations. Ordered sets
1. Definition of an order relation
Let be a relation, and 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
The first of the above relations says that R is transitive with respect to the letters and (Chapter II, § 6, no. 1).
Examples
(1) The relation of equality, , is an order relation.
(2) The relation 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 be an order relation between and . The relation is then an order relation between x and y, called the opposite of the order relation .
An order relation on a set E is an order relation with respect to two distinct letters , such that the relation is equivalent to (in other words, is such that is reflexive on E (Chapter II, § 6, no. 1)). Then the relation implies " and " and the relation and is equivalent to " and and ".
Examples
Example 1 03SH
The relations of equality and inclusion are not order relations on a set, for the relations and are not collectivizing (Chapter II, § 1, no. 7).
Example 2 03SI
Let be an order relation between and , and let E be a set such that implies (notice that the empty set satisfies this condition). The relation " and and " is then an order relation on E, as is immediately verified; it is called the order relation induced by on E (cf. no. 4). By abuse of language, the phrase "the relation is an order relation between elements of E" is often used in place of "the relation ( and and ) is an order relation on E". For example, if A is a set, the relation " and and " 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 and ) on the set of mappings of subsets of E into F.
Example 4 03V3
In the set of sets of subsets of a set E, let be the set of partitions of E (Chapter II, § 4, no. 7). We recall that a partition is said to be coarser than a partition if given any there exists such that (Chapter II, § 4, no. 6). For each partition of E let be the graph of the equivalence relation defined by on E (Chapter II, § 6, no. 2), that is to say, the union of the (mutually disjoint) sets , where A runs through . The relation " is coarser than " is immediately seen to be equivalent to , and is therefore an order relation on the set between and .
An ordering on a set E is a correspondence with E as source and as target, and such that the relation is an order relation on E. By abuse of language we shall sometimes refer to the graph G of as an ordering on E. If is an order relation on E, it has a graph which is an ordering on E.
Proposition 1 03JA
A correspondence* between E and E is an ordering on E if and only if its graph G *satisfies the following conditions :
(a) .
(b) The set is the diagonal of .
For the relation and can be written as , and the relation
can be written as . From we then deduce , whence ; since also , we have
2. Preorder relations
Let be a relation, and being distinct letters. If is transitive and if we have and , it does not necessarily follow that is an order relation because the relation
does not necessarily imply . is said to be a preorder relation between and ; is then also a preorder relation between and , called the opposite of the relation .
For example, let be the set of subsets of which are coverings of E (Chapter II, § 4, no. 6). The relation " is coarser than " between elements , of (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 is the union (in ) of and a subset of E contained in a set of but not belonging to .
But in any case the relation and is an equivalence relation with respect to and . Let , be letters distinct from , which do not appear in R. Then is compatible (with respect to and ) with the equivalence relations and ; in other words (Chapter II, § 6, no. 8), the relation
implies .
¶ A preorder relation on a set E is a preorder relation such that the relation is equivalent to . The relation then implies " and ".
¶ If is a preorder relation on a set E, then the relation defined above is an equivalence relation on E. Let denote the relation
that is to say, the relation induced by R on passing to the quotient (with respect to and ); we saw in Chapter II, § 6, no. 3, that it is equivalent to the relation
¶ Let us show that is an order relation between elements of E/S. The relation and is equivalent to
(Chapter I, § 4, criteria C40, C41). Since is transitive and (Chapter II, § 6, no. 2), it follows immediately that is transitive. Next, and is equivalent to
and hence equivalent to
and therefore implies
Moreover, implies and , and hence implies each of the relations
whence implies and . Finally, since implies , implies , and the proof of our assertion is complete. is said to be the order relation associated with .
¶ A preordering on a set E is a correspondence with E as source and as target, and such that is a preorder relation on E. By abuse of language we refer sometimes to the graph G of as a preordering on E. For this to be so it is necessary and sufficient that and (which implies ). The equivalence relation S corresponding to the preorder relation then has as its graph; the order relation associated with has as graph the subset G' of which corresponds (Chapter II, § 6, no. 8) to the image of G under the canonical mapping of onto
Example 03JB
\* Let A be a ring with an identity element. The relation and between two elements , of A is a preorder relation on A; it is read " is a right divisor of " or " is a left multiple of ". \
3. Notation and terminology
The definitions to be given in the remainder of this section apply to an arbitrary order (or preorder) relation between and , but will be used mainly in the case where is written \*(by analogy with the usual order relation between integers or real numbers)\* (or , or by means of some analogous sign); we shall therefore state them only for the notation , and leave to the reader the task of transcribing them into other notations. When is written , then is synonymous with , and these relations are read " is smaller than ", or " is less than ", or " is larger than " or " is greater than ". The relation is then the preorder relation (between and ) opposite to .
By abuse of language, we shall often speak of "the relation " instead of "the relation "; in this case "the relation " is the opposite of "the relation ". We remark also that, in the same proof, we may often use the same sign to denote several different order relations when there is no risk of confusion.
The conditions for a relation written to be an order relation on a set E are as follows :
(RO) The relation " and " implies . (RO) The relation " and " implies . (RO) The relation implies " and ". (RO) The relation is equivalent to .
If we leave out condition (RO), we have the conditions for to be a preorder relation on E. ¶ When an order relation is written we shall write (or ) for the relation " and "; these relations are read " is strictly smaller than ", or " is strictly less than ", or " is strictly larger than ", or " is strictly greater than ".
The example of the inclusion relation shows that the negation of (sometimes denoted by ) is not necessarily equivalent to (cf. no. 12).
C58. Let be an order relation, and let , be two distinct letters. The relation is equivalent to " or ". Each of the relations " and ", " and " implies .
The first assertion follows from the criterion and (not )) or ) (Chapter I, § 3, criterion C24). To prove the second assertion, we remark that each of the hypotheses implies , by transitivity; and the relation ( and and ) would imply , contrary to the hypothesis.
¶ In order to make matters easier and to replace metamathematical criteria by mathematical theorems we shall usually consider a theory which contains the axioms and axiom schemes of the theory of sets, and in addition, two constants E and satisfying the axiom
" is an ordering on the set E" (no. 1).
We shall denote by the relation , and we shall say that the set E is ordered by the ordering (or by the order relation ) (cf. Chapter IV, § 1).
¶ Whenever, in , is a preordering on E, we say likewise that E is preordered by the preordering .
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 , . An isomorphism of E onto E (for the orderings and ) is a bijection of E onto E such that the relations and are equivalent (cf. Chapter IV, § 1).
4. Ordered subsets. Product of ordered sets
Let E be a set ordered by an ordering , with graph G. For each subset A of E, is an ordering on A; the corresponding order relation is equivalent to " and and ", and we shall denote it simply by (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 on various sets of subsets are of considerable importance. Here are some examples :
Example 1 03WB
Let E, F be two sets, and let be the set of all mappings of subsets of E into F. For each let be the graph of , which is a subset of . If we endow with the order relation "*g extends f*" between and (no. 1, Example 3), then is an isomorphism of the ordered set onto a subset of , ordered by inclusion.
Example 2 03WC
For each partition of a set E, let be the graph of the equivalence relation defined by on E. The mapping is an isomorphism of the set of partitions of E, ordered by the relation " is finer than " between and (no. 1, Example 4) onto a subset of , ordered by inclusion.
Example 3 03WD
Let E be a set and let 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 between and , induced on by the inclusion relation on , is expressed by saying that "the preordering is finer than " (or that " is coarser than "). Let and respectively denote the preorder relations and on E; then to say that is finer than is equivalent to saying that the relation implies .
Let be a family of sets, and for each index let be an ordering on ; let be its graph, and let denote the order relation on . On the product set , the relation
is an order relation between and , as is immediately verified. The ordering and the order relation so defined on F are called the product of the orderings and the product of the order relations ; this relation is written , and the set F, ordered by the product of the orderings , is called the product of the ordered sets .
It is immediately verified that the graph of the product ordering on F is the image of the product set under the canonical mapping of onto (Chapter II, § 5, no. 5).
An important example of a product of ordered sets is the set of graphs of mappings of a set E into an ordered set F. There is a canonical bijection of onto the set of mappings of E into F, and this mapping is an isomorphism of the ordered set onto endowed with the ordering defined by the relation "for all , " between two mappings , of E into F. This relation is written .
☡
It should be observed that in the ordered set , the relation means
In order to avoid confusion it is better not to use the notation 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 ). A mapping f of E into F is said to be increasing (or order-preserving) if the relation implies ; it is decreasing (or order-reversing) if the relation implies . 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 implies ; f is said to be strictly decreasing (or strictly order-reversing) if the relation implies . 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 of (ordered by inclusion) onto itself is strictly decreasing.
Example 2 03SL
Let E be an ordered set. For each let be the set of all such that . The mapping is a strictly decreasing mapping of E into (ordered by inclusion); indeed, the relation is equivalent to .
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 when neither of the relations , is true (cf. no. 12, Proposition 11).
¶ A bijective mapping of an ordered set E onto an ordered set E' is an isomorphism of E onto E' (no. 3) if and only if both and its inverse mapping are increasing.
¶ If I is an ordered index set, a family of subsets of a set E is said to be increasing if is an increasing mapping of I into , ordered by inclusion (in other words, if implies ). Similarly we define a decreasing, strictly increasing, or strictly decreasing family of subsets .
Proposition 2 03JE
Let* E, E' be two ordered sets, and let and be two decreasing mappings such that for all and all we have and . *Then
For the relation implies because is decreasing; on the other hand, we have by replacing by in the inequality . 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 is said to be a minimal (resp. maximal) element of E if the relation (resp. ) implies .
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 (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 of mappings of subsets of E into F (F being non-empty), ordered by the relation " extends " between and , the maximal elements are the mappings of the whole of E into F.
Example 3 03SO
\* In the set of natural integers , ordered by the relation " divides " between and , 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 in an ordered set E such that for all , then is the only element of E with this property; for if also for all , then we should have and , and consequently .
Definition 4 03JG
Let* E be an ordered set. An element is said to be the least (resp. greatest) element of E if for all we have (resp. ).
An ordered set need not have a greatest element nor a least element. If E has a least element , then is the greatest element with respect to the opposite ordering.
¶ If E has a least element , then is the unique minimal element of E; for if is distinct from , we have .
Examples
Example 1 03SQ
Let be a non-empty subset of the set of subsets of a set E. If has a least (resp. greatest) element A with respect to the inclusion relation, then A is the intersection (resp. union) of the sets of . Conversely, if the intersection (resp. union) of the sets of belongs to , then it is the least (resp. greatest) element of .
Example 2 03SR
In particular, is the least element and E the greatest element of . In the set 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 of 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 consisting of a single element. Then there exists a unique ordering on E which induces the given ordering on E and for which 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 where ; 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 to E (cf. Exercise 3).
¶ A subset of a preordered set is said to be cofinal (resp. coinitial) in if for every there exists such that (resp. ). To say that an ordered set has a greatest (resp. least) element therefore means that has a cofinal (resp. coinitial) subset consisting of a single element.
8. Upper and lower bounds
Definition 5 03JI
Let be a preordered set and let be a subset of . Any element such that (resp. ) for all is called a lower (resp. upper) bound of in .
Every upper bound of is a lower bound of with respect to the opposite ordering, and vice versa.
¶ If is a lower bound of , every element is also a lower bound of . A lower bound of is also a lower bound of every subset of . An ordered set has a least element if and only if there exists a lower bound of which belongs to .
¶ The set of lower bounds of a subset of a preordered set may be empty : this is the case when and is an ordered set which has no least element.
¶ A subset of 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 is bounded below (resp. bounded above, bounded), the same is true of every subset of .
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 be a preordered set and let be a mapping of an arbitrary set into . The mapping is said (by abuse of language) to be bounded below (resp. bounded above, bounded) if the set is bounded below (resp. bounded above, bounded) in .
9. Least upper bound and greatest lower bound
Definition 6 03JJ
Let be an ordered set and let be a subset of . An element of is said to be the greatest lower bound or infimum (resp. least upper bound or supremum) of in if it is the greatest (resp. least) element of the set of lower (resp. upper) bounds of in .
Given a subset of an ordered set , the least upper bound (resp. greatest lower bound) of in , when it exists, is denoted by
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 of two elements, when it exists, is denoted by sup (resp. inf ). 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 , then is the least upper bound of X in E.
¶ If X has a greatest lower bound in E, then 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 in an ordered set E is evidently E itself; hence has a supremum in E if and only if E has a least element, which is then the least upper bound of .
(2) In the set of subsets of a set E, ordered by inclusion, every subset of has a least upper bound, namely the union of the sets of , and a greatest lower bound, namely the intersection of the sets of .
(3) Let E, F be two sets and let be a subset of the of mappings of subsets of E into F, ordered by extension of mappings (no. 1, Example 3). For each let be the domain of . The condition for the existence of a common extension of a family of mappings belonging to (Chapter II, § 4, no. 6, Proposition 7) shows that has a least upper bound in if and only if for each pair of elements of we have whenever .
A mapping of a set A into an ordered set E is said to have a least upper bound if the image has a least upper bound in E; this bound is then called the least upper bound of f and is written . 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 .
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 if ; if , is the least and 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 , then (resp. ).
Corollary 03JM
Let be a family of elements of an ordered set* which has a least upper bound in . If is a subset of such that the family has a least upper bound in , we have .
Proposition 6 03JN
Let* , be two families of elements of an ordered set , indexed by the same set , and such that for all . If both families have a least upper bound in , then .
For is an upper bound of the set of the , so that for all , and hence .
Proposition 7 03JO
Let* be a family of elements of an ordered set , and let be a covering of the index set . Suppose that each of the subfamilies has a least upper bound in . For the family to have a least upper bound in , it is necessary and sufficient that the family should have a least upper bound in , *and then we have
Let . Suppose that has a least upper bound . Then for each (Corollary to Proposition 5). On the other hand, if for each , then we have for each , because is a covering of ; hence , which proves that
Conversely, suppose that the family has a least upper bound . Then for all . On the other hand, if for all , then we have in particular
for each , so that and therefore
Corollary 03JP
Let* be a "double" family of elements of an ordered set such that for each the family has a least upper bound in . For the family to have a least upper bound in , it is necessary and sufficient that the family should have a least upper bound in E, *and then we have
Proposition 8 03QI
Let* be a family of ordered sets. Let A be a subset of the product ordered set , and let for each . For A to have a least upper bound in E it is necessary and sufficient that, for each , should have a least upper bound in , *and then we have
Suppose that, for each , has a least upper bound in . To say that is an upper bound of A then means that for each , hence is an upper bound of A. Conversely, suppose that A has a least upper bound ; for each , is an upper bound of , because if , there exists such that , by the definition of ; on the other hand, if is an upper bound of in , the element for which
is an upper bound of A; consequently and therefore ; hence is the least upper bound of in .
☡
¶ 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 , exists but the other does not, or that both exist but are unequal.
Examples
Example 1 03SS
\* In the ordered set of real numbers, consider the subset of rational numbers and the set of rational numbers ; exists but does not.
Example 2 03ST
In the notation of Example 1, let G be the union of A and the set ; then and exists, but does not.
Proposition 9 03QJ
Let* E be an ordered set, F a subset of E, A a subset of F. If both and exist, we have . If exists and belongs to F, then exists and is equal to .
The first assertion follows from the fact that the set 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 ", and analogous expressions when the preorder relation is denoted by some other sign. For example, if is a set of subsets of a set A, we say that is directed with respect to the relation (resp. ) if, for each subset consisting of two elements of , there exists such that and (resp. and ).
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 . (3) The set of submodules of finite type of an arbitrary module is directed with respect to the relation . \
Proposition 10 03QL
In a right directed ordered set* E, a maximal element a is the greatest element of E.
For every there exists by hypothesis such that and ; since is maximal, .
¶ 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 , there exists such that and , and then such that .
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 , ordered by the relation “ divides ” between and , is a lattice; the least upper bound of is the l.c.m. of and , 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 “ is coarser than ” between and , is a lattice. (General Topology, Chapter I, § 2).
Example 4 03TV
The set of all real-valued functions defined on an interval I of is a lattice with respect to the order relation (no. 4), and as such is isomorphic to the product . \
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 of into itself, where is a polynomial in , this set being ordered by the relation (no. 4). \
12. Totally ordered sets
Definition 9 03JR
Two elements , of a preordered set E are said to be comparable if the relation “ or ” 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 and are elements of a totally ordered set, then or or ; the negation of is thus .
An ordering on E is a total ordering if and only if its graph G satisfies the relation , as well as the relations and .
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 of real numbers is totally ordered. \
Example 4 03TY
If A is a set which has at least two distinct elements, the set (ordered by inclusion) is not totally ordered, for if , the subsets and 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 of a totally ordered set* E into an ordered set F is injective. If is strictly increasing, is an isomorphism of E *onto .
For implies that either or ; hence
so that in either case. It remains to be shown that if is strictly increasing, implies ; if not, we should have , and therefore .
Proposition 12 03JT
Let* E be a totally ordered set and let X be a subset of E. For an element of E to be the least upper bound of X in E, it is necessary and sufficient that (1) is an upper bound of X, (2) *for every such that , there exists such that .
The second condition says that no element is an upper bound of X, i.e., is a minimal element of the set M of upper bounds of X; but this is the same as saying that 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 , be two elements of E such that . The subset of E consisting of elements such that is called the closed interval with left-hand endpoint a and right-hand endpoint b, and is denoted by . The set of all such that (resp. ) is called the interval half-open on the right (resp. on the left) with endpoints and , and is denoted by (resp. ). The set of all such that is called the open interval with endpoints and , and is denoted by .
Note that a closed interval is never empty; the interval is the set . On the other hand, the intervals , , are all empty; and an open interval may be empty even when .
Let be an element of E. The set of all such that (resp. ) is called the closed (resp. open) interval unbounded on the left, with right-hand endpoint a, and is denoted by (resp. ); likewise, the set of all such that (resp. ) is called the closed (resp. open) interval with left-hand endpoint a, unbounded on the right, and is denoted by (resp. ). Finally, E itself may be regarded as the open interval unbounded on the left and on the right, denoted by .
Proposition 13 03JU
In a lattice, the intersection of two intervals is an interval.* Consider for example the intersection of two closed intervals and , and let , . If both and , then we have , and conversely; if , the intersection of and is empty; if , this intersection is . We leave it to the reader to carry through the proof for the other cases.
Exercises
See the exercises for § 1.