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2006 02 06lecture Relations

This document discusses binary relations and orders. It begins by defining binary relations and giving examples. It then defines properties of binary relations like reflexive, symmetric, transitive, and equivalence relations. It introduces partitions and equivalence classes. The document then discusses linear orders and partial orders, providing definitions and examples. It proves various results about orders on sets like the natural numbers, integers, rational numbers, and real numbers. It also discusses extending relations.

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100% found this document useful (1 vote)
243 views6 pages

2006 02 06lecture Relations

This document discusses binary relations and orders. It begins by defining binary relations and giving examples. It then defines properties of binary relations like reflexive, symmetric, transitive, and equivalence relations. It introduces partitions and equivalence classes. The document then discusses linear orders and partial orders, providing definitions and examples. It proves various results about orders on sets like the natural numbers, integers, rational numbers, and real numbers. It also discusses extending relations.

Uploaded by

anon-379813
Copyright
© Attribution Non-Commercial (BY-NC)
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PDF, TXT or read online on Scribd
You are on page 1/ 6

Math 461 Relations and Orders

7 Binary relations
Definition 7.1. A binary relation on a set A is a subset R ⊆ A×A. We usually write
aRb instead of writing ha, bi ∈ R.

Example 7.2. 1. The order relation on N is given by


{hn, mi | n, m ∈ N, n < m}.

2. The division relation D on Nr{0} is given by


D = {hn, mi | n, m ∈ N, n divides m}.

Observation Thus P(N×N) is the collection of all binary relations on N. Clearly


P(N×N) ∼ P(N) and so P(N×N) is uncountable.

Definition 7.3. Let R be a binary relation on A.

1. R is reflexive iff xRx for all x ∈ A.

2. R is symmetric iff xRy implies yRx for all x, y ∈ A.

3. R is transitive iff xRy and yRz implies xRz for all x, y, z ∈ A.

R is an equivalence relation iff R is reflexive, symmetric, and transitive.

Example 7.4. Define the relation R on Z by


aRb iff 3|a − b.

Proposition 7.5. R is an equivalence relation.

Exercise 7.6. Let A = {ha, bi | a, b ∈ Z, b 6= 0}. Define the relation S on A by


ha, biShc, di iff ad − bc = 0.
Prove that S is an equivalence relation.

Definition 7.7. Let R be an equivalence relation on A. For each x ∈ A, the equivalence


class of x is
[x] = {y ∈ A | xRy}.

Example 7.4 Cont. The distinct equivalence classes are


[0] = {. . . , −6, −3, 0, 3, 6, . . .}
[1] = {. . . , −5, −2, 1, 4, 7, . . .}
[2] = {. . . , −4, −1, 2, 5, 8, . . .}

Definition 7.8. Let A be a nonempty set. Then {Bi | i ∈ I} is a partition of A iff the
following conditions hold:

2006/02/06 1
Math 461 Relations and Orders

1. ∅ 6= Bi for all i ∈ I.

2. If i 6= j ∈ I, then Bi ∩ Bj = ∅.
S
3. A = i∈I Bi .

Theorem 7.9. Let R be an equivalence relation on A.

1. If a ∈ A then a ∈ [a].

2. If a, b ∈ A and [a] ∩ [b] 6= ∅, then [a] = [b].

Hence the set of distinct equivalence classes forms a partition of A.

Proof. 1. Let a ∈ A. Since R is reflexive, aRa and so a ∈ [a].

2. Suppose that c ∈ [a] ∩ [b]. Then aRc and bRc. Since R is symmetric, cRb. Since R
is transitive, aRb. We claim that [b] ⊆ [a]. To see this, suppose that d ∈ [b]. Then
bRd. Since aRb and bRd, it follows that aRd. Thus d ∈ [a]. Similarly, [a] ⊆ [b]
and so [a] = [b].

Theorem 7.10. Let {Bi | i ∈ I} be a partition of A. Define a binary relation R on A


by
aRb iff there exists i ∈ I such that a, b ∈ Bi .
Then R is an equivalence relation whose equivalence classes are precisely {B i | i ∈
I}.

Example 7.11. How many equivalence relations can be defined on A = {1, 2, 3}?

Sol’n This is the same as asking how many partitions of A exist.


{{1, 2, 3}},
{{1, 2}, {3}}, {{1, 3}, {2}}, {{2, 3}, {1}},
{{1}, {2}, {3}}
Hence there are 5 equivalence relations on {1, 2, 3}.

Exercise 7.12. How many equivalence relations can be defined on A = {1, 2, 3, 4}?

Challenge Let EQ(N) be the collection of equivalence relations on N. Prove that


EQ(N) ∼ P(N).

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Math 461 Relations and Orders

8 Linear orders
Definition 8.1. Let R be a binary relation on A.

1. R is irreflexive iff ha, ai∈R


/ for all a ∈ A.

2. R satisfies the trichotomy property iff for all a, b ∈ A, exactly one of the following
holds:
aRb, a = b, bRa.

hA, Ri is a linear order iff R is irreflexive, transitive, and satisfies the trichotomy prop-
erty.

Example 8.2. Each of the following are linear orders.

1. hN, <i

2. hN, >i

3. hZ, <i

4. hQ, <i

5. hR, <i

Definition 8.3. Let R be a binary relation on A. Then hA, Ri is a partial order iff R
is irreflexive and transitive.

Example 8.4. Each of the follow are partial orders, but not linear orders.

1. Let A be any nonempty set containing at least two elements. Then hP(A), ⊂i is
a partial order.

2. Let D be the divisability relation on N+ = Nr{0}. Then hN+ , Di is a partial


order.

Definition 8.5. Let hA, <i and hB, <i be partial orders. A map f : A → B is an
isomorphism iff the following conditions are satisfied.

1. f is a bijection

2. For all x, y ∈ A, x < y iff f (x) < f (y).

In this case, we say that hA, <i and hB, <i are isomorphic and write hA, <i∼
=hB, <i.
Example 8.6. hZ, <i∼
=hZ, >i

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Math 461 Relations and Orders

Proof. Let f : Z → Z be the map defined by f (x) = −x. Clearly f is a bijection. Also,
if x, y ∈ Z, then x < y
iff −x > −y
iff f (x) > f (y).
Thus f is an isomorphism.

Example 8.7. hN, <i6∼


= hZ, <i.
Proof. Suppose that f : N → Z is an isomorphism. Let f (0) = z. Since f is a bijection,
there exists n ∈ N such that f (n) = z − 1. But then n > 0 and f (n) < f (0), which is a
contradiction.

Exercise 8.8. Prove that hZ, <i6∼


= hQ, <i.

Example 8.9. hQ, <i6∼


= hR, <i.

Proof. Since Q is countable and R is uncountable, there does not exist a bijection
f : Q → R. Hence there does not exist an isomorphism f : Q → R.

Example 8.10. hR, <i6∼


= hRr{0}, <i.

Proof. Suppose that f : Rr{0} → R is an isomorphism. For each n ≥ 1, let rn = f (1/n).


Then
r1 > r2 > . . . > rn > . . . > f (−1).
Let s be the greatest lower bound of {rn | n ≥ 1}. Then there exists t ∈ Rr{0}
such that f (t) = s. Clearly t < 0. Hence f (t/2) > s. But then there exists n ≥ 1
such that rn < f (t/2). But this means that t/2 < 1/n and f (t/2) > f (1/n), which is a
contradiction.

Question 8.11. Is hQ, <i∼


=hQr{0}, <i?

Definition 8.12. For each prime p,


Z[1/p] = {a/pn | a ∈ Z, n ∈ N}.

Question 8.13. Is hZ[1/2], <i∼


=hZ[1/3], <i?

Definition 8.14. A linear order hD, <i is a dense linear order without endpoints or
DLO iff the following conditions hold.

1. For all a, b ∈ D, if a < b, then there exists c ∈ D such that a < c < b.

2. For all a ∈ D, there exists b ∈ D such that a < b.

3. For all a ∈ D, there exists b ∈ D such that b < a.

Example 8.15. The following are DLOs.

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Math 461 Relations and Orders

1. hQ, <i

2. hR, <i

3. hQr{0}, <i

4. hRr{0}, <i

Theorem 8.16. For each prime p, hZ[1/p], <i is a DLO.

Proof. Clearly hZ[1/p], <i linear order without endpoints. Hence it is enough to show
that Z[1/p] is dense. Suppose that a, b ∈ Z[1/p]. Then there exists c, d ∈ Z and n ∈ N
such that a = c/pn and b = d/pn . Clearly a < a + (1/pn ) ≤ b. Consider
r = pcn + p1n = cp+1
pn+1
∈ Z[1/p].
Then a < r < b.

Theorem 8.17. If hA, <i and hB, <i are countable DLOs then hA, <i∼
=hB, <i.
Corollary 8.18. hQ, <i∼
=hQr{0}, <i.
Corollary 8.19. hZ[1/2], <i∼
=hZ[1/3], <i.
Corollary 8.20. If p is any prime, then hZ[1/p], <i∼
=hQ, <i.
Proof of Theorem 8.17. Let A = {an | n ∈ N} and B = {bn | n ∈ N}. First define
A0 = {a0 } and B0 = {b0 } and let f0 : A0 → B0 be the map defined by f0 (a0 ) = b0 .
Now suppose inductively that we have defined a function fn : An → Bn such that
the following conditions are satisfied.

1. {a0 , . . . , an } ⊆ An ⊆ A.

2. {b0 , . . . , bn } ⊆ Bn ⊆ B.

3. fn : An → Bn is an order preserving bijection.

We now extend fn to a suitable function fn+1 .

Step 1 If an+1 ∈ An , then let A0n = An , Bn0 = Bn , and fn0 = fn . Otherwise, suppose for
example that

c0 < c1 < . . . < ci < an+1 < ci+1 < . . . < cm


where An = {c0 , . . . , cm }. Choose some element b ∈ B such that fn (ci ) < b < fn (ci+1 )
and define
A0n = An ∪ {an+1 }
Bn0 = Bn ∪ {b}
fn0 = fn ∪ {han+1 , bi}

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Math 461 Relations and Orders

Step 2 If bn+1 ∈ Bn0 , then let An+1 = A0n , Bn+1 = Bn0 , and fn+1 = fn0 . Otherwise,
suppose for example that

d0 < d1 < . . . < dj < bn+1 < dj+1 < . . . < dt


where Bn0 = {d0 , . . . , dt }. Choose some element a ∈ A such that (fn0 )−1 (dj ) < a <
(fn0 )−1 (dj+1 ) and define
An+1 = A0n ∪ {a}
Bn+1 = Bn0 ∪ {bn+1 }
= fn0 ∪ {ha, bn+1 i}.
fn+1 S
Finally, let f = n≥0 fn . Then f : A → B is an isomorphism.

9 Extensions
Definition 9.1. Suppose that R, S are binary relations on A. Then S extends R iff
R ⊆ R.

Example 9.2. Consider the binary relations R, S on N defined by


R = {hn, mi | n < m}
S = {hn, mi | n ≤ m}
Then S extends R.

Example 9.3. Consider the partial order ≺ on {a, b, c, d, e} which is

{hd, bi, hd, ai, hd, ei, hd, ci, ha, bi, he, bi, hc, bi}.

Then we can extend ≺ to the linear order < defined by the transitive closure of

d < e < c < a < b.

Exercise 9.4. If hA, ≺i is a finite partial order, then we can extend ≺ to a linear
ordering < of A.

Question 9.5. Does the analogous result hold if hA, ≺i is a infinite partial order?

Definition 9.6. If A is a set and n ≥ 1, then


An = {ha1 , . . . , an i | a1 , . . . , an ∈ A}.
An n-ary relation on A is a subset R ⊆ An .
An n-ary operation on A is a function f : An → A.

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