Chapter Two Sets and subsets. 2.1. Sets. A fundamental concept in all branches of mathematics is that of a set. Definition 2.1. A set is a collection of objects. The objects in sets can be anything: numbers, people, letters, cars, students, rivers, etc. The objects of a set are called the elements, points , or members of the set. Sets are usually denoted by capital letters as A , B ,C , D , X ,Y ... , and the elements of the sets denoted by small letters as a,b ,c ,d , x , y ... . Braces as often used to name a set and the elements separated by commas as A x , y . Example 2.1. 1. The set of integers 1,2,7,15 and 20 is the set 1,2,7,15,20 . 2. The capital of Egypt is Cairo represented by the set Cario . 3. The countries Jordan, Saudi Arabia, Marco is the set Jordan, Saudi Arabia, Marco . Let P (x ) be a well-defined property of objects. Then we write x P (x ). Example 2.2. 1. P (x ) may be the property that the element x is a positive real number x P (x ) x is a positive real number . 2. P (x ) is the property that x is an even integer and we write it as x P (x ) x is a positive real number . Example 2.3. Consider the following sets. 1. A x x is a non-negative real numbers . 2. B x x is a positive integer numbers . 3. C x 1 x 4: x is a real number . 9 4. D x 1 x 3, x is an integer 1,0,1,2,3 . Now, if A is a set, and x is an element in A , we write x A , and we mean that x is in A . If x is not an element in A , then we write x A . Example 2.4. 1. 14,1,2 . 2. 3 1,0,1,2 . 3. 20 x x is a multiple of 2 . 4. 20 x x is an odd number . Definition 2.2. Let X be any set. 1. The empty (null) set is the set having no elements. We denote it by x X x x . 2. The set with only one element is called the singleton set, we denote it by x X . Definition 2.3. A set is called finite if it is empty or its elements can be matched up precisely with the elements of the set 1, 2,..., n , where n is some positive integer. A set that is not finite is called infinite set. Example 2.5. 1. The sets 4,1,2 and 1,0,1,2 are finite sets. 2. The sets x x is a multiple of 2 and x x is an odd number are infinite sets. Definition 2.4. A set A is called a subset of a set B if every element of A is also in B , that is if (A B ) (x A x B ) , where, A B means that A is a subset of B , A is contained in B , or B contains A . If A B , then A is called a proper subset of B , that is A B and A B . If A is not a subset of B , we write A B . Definition 2.5. Two sets A and B are called equal, written A B , when they have the same elements. We write A B if A and B are not equal. Hence , we have 1. (A B ) (A B and B A ) . 2. (A B ) (A B or B A ) . 10 Example 2.6. 1. If A 1, 2 and B 2,1 , then A B . 2. If A 1, 2,3 and B 1, 2,3,7 , then A B and A B . 3. x x is a student in Math 151 x x a student in Faculty of Science . 4. The set E x x 2 5x 6 0 2,3 . 5. E x x 2 5x 6 0 2,3 . Theorem 1.1. Let A , B and C be sets.Then 1. A . 2. A A . 3. If and A B and B C , then A C . Proof . 1. For each x if x , then x A . This means that x x A and has a false antecedent, and hence is true statement. Thus A . 2. For each if x A , then x A which is a conditional statement and it is a tautology. Thus A A . 3. Let A B and x A , then x B . If B C , then x C . Therefore, A C . 2.2. Operations on sets. In this section, define the operations of union, intersection, and difference of sets. 1. Union. The union of the sets A and B is the set of all elements in A or in B , that is A B x x A or x B read it as A union B . Thus x A B x A or x B x A x A x A B x A x B B x A and x B B x A x B 11 Example 2.7. Let A 1, 2,3, 4 , and B 2,5,6 . Then A B 1, 2,3, 4,5,6 a,b c , d a,b ,c , d . Theorem 2.2. Let A , B and C be sets. Then (a) A B B A . (b) A A B and B A B . (c) A A . (d) (A B ) C A (B C ) . (e) A B A and B . Proof. (a) Let x A B x A x B x B x A x B A . Thus A B B A . (b) Let x A x A B A A B . Similarly, B A B . (c) Let x A x A x . But x (empty set). Thus x A and A A . From (b), we have A A . Therefore, A A . (d) Let x (A B ) C x (A B ) x C (x A x B ) x C x A (x B x C ) Therefore, A (B x A (x B C ) x A (B C ) C ) (A B ) C . (e) We have from A A B , and B A B A and B . But A and B . Thus A and B . 2. Intersection. The intersection of the sets A and B is the set of all elements in A and in B , that is A B x x A and x B read it as A intersection B . Thus x A B x A and x B x A B x A x B 12 Example 2.8. Let A 1, 2,3, 4 , and B 2,5,6 . Then A B 2 a,b c , d . Theorem 2.3. Let A , B and C be sets. Then (a) A B B A . (b) A B A and A B B . (c) A . (d) (A B ) C A (B C ) . Proof. (a) Let x A B x A x B x B x A x B A . Thus A B B A . (b) Let x A B x A and x B A B A and A B B . (c) Let A . Then there exist an element x A such that But x A implies that x A and x which ia a x . contradiction for x (empty set). Thus we have a contradiction. Therefore, A . But A . Hence A . (d) Let x (A B ) C x ( A B ) x C (x A x B ) x C x A (x B x C ) Therefore, (A x A (x B C ) x A (B C ) B ) C A (B C ) . Theorem 2.4. Let A , B and C be sets. Then (a) A (B C ) (A B ) (A C ) . (b) A (B C ) (A B ) (A C ) . Proof . (a) Let x A (B C ) x A x (B C) x A (x B x C ) (x A x B ) (x A x C ) (x A B ) (x A C ) x (A B ) (A C ) 13 Thus A (B C ) (A B ) (A C ) . Similarly, we can prove A (B C ) (A B ) (A C ) . Definition 2.6. Two sets A and B are called disjoint if A B . 3. Difference. Let A and B be two sets. The set difference of A and B is the set of all elements in A which are not in B , that is A B x x A and x B . read it as A difference B . Some times, we use A \ B in place A B . x A B x A and x B x A B x A x B Example 2.8. Let A 1, 2,3, 4 , and B 2,5,6 . Then A B 1,3, 4 B A 5,6 A B 2 A A A A A In general, A B B A and (A B ) (B A ) (A B ) , that is disjoint. a,b c , d . Theorem 2.5. Let A , B and C be sets. Then (a) A B A . (b) (A B ) B . (c) A (B C ) (A B ) (A C ) . (d) A (B C ) (A B ) (A C ) . Proof . (a) Let x A B x A x B x A A B A . (b) Let x (A B ) B x (A B ) x B (x A x B ) x B But there is no element such that x B x B . Thus (A B ) B . 14 (c) Let x A (B C ) x A x (B C) x A (x B x C ) (x A x B ) (x A x C ) Thus A (B (d) Let (x A B ) (x A C ) x (A B ) (A C ) C ) (A B ) (A C ) . x A (B C ) x A x (B C ) x A (x B x C ) (x A x B ) (x A x C ) (x A x (A B ) (x A C ) B ) (A C ) Thus, A (B C ) (A B ) (A C ) . 4. Complement. In any application of the theory of sets under investigation will likely be subsets of a fixed set, this fixed set is called the universal set. We denote it by U . Let A be a subset of any set U . The complement of A in U is the set A x x U x A U A x A x A x A x A Thus A the set of all elements in the universal set U which do not belong to A . Also, some times we denote the complement as A Ac . Example 2.9. Let U 1, 2,3, 4,5,6,7 , and A 2,3,7 . Then A 1, 4,5, 6 (A ) 2,3, 7 A U . 1, 2,3, 4,5,6,7 U . Theorem 2.6. Let A and B be subsets of a universal set U . Then (a) (A ) A . (b) A B A B . (c) A A . 15 (d) A A U . (e) U . (h) U . (g) A B B A . Proof . (a) Let x (A ) x A x A Thus (A ) A . (b) Let x (A B ) x A x B x A x B x A B ( A ) A (c) Let x A A x A x A x A x A . Thus A A . (d) Let x A A x A x A x U . Thus A A U . (e) x U x U x U . Thus U . (h) We have U . Then x x U x x U . Hence, U . (g) Suppose that A B . We want to prove that B A . Let x B . Then x B . Since A B and x B we have x A . Thus x A . Therefore x B implies that x A , that is B A . Conversely, let B A . We want to prove that A B . Let x A . Then x A and x B for B A . Thus x B . Therefore, x A implies that x B , that is A B . Theorem 2.7. ( De Morgan's Laws) Let A and B be subsets of a universal set U . Then (a) (A B ) A B . (b) (A B ) A B . Proof . (a) Let x (A B ) x A B x A x B x A x B x A B Hence, (A B ) A B . 16 (b) Let x (A B ) x A B x A x B x A x B x A B Thus, (A B ) A B . Example 2.10. Let U 1, 2,3, 4,5,6,7,8,9,10 , A 1, 2,3, 4 , B 2, 4,6 , and C 3, 4,5,6 . Then (A C ) (3, 4) 1, 2,5,6,7,8,9,10 A 5,6,7,8,9,10 ,C 1, 2,7,8,9,10 A C 1, 2,5,6,7,8,9,10 Thus (A C ) A C . B 1,3,5,7,8,9,10 A B 1,3 Theorem 2.8. Let A and B be subsets of a universal set U . Then (A B ) C (A C ) (B C ) Proof . By Theorem 2.6 (b), Theorem 2.3 (a), and Theorem 2.4 (b) , we have (A B ) C (A B ) C ( Theorem 2.6(b) A B A B ) C (A B ) ( Theorem 2.3 (a) A B B A ) (C A ) (C B ) ( Theorem 2.4 (b) A (B C ) (A (A C ) (B C ) B ) (A C )) (A C ) (B C ) 2.3. The power set of a set. In order to represent intersection and union as operations, we had to consider the set of all subsets of a given set. Definition 2.7. Let A be any set. Then the power set, written (A ) , is the set of all sub sets of A . In other words, (A ) B B A . It is clear that the members or the elements of (A ) are sets. Thus (A ), A (A ) and a (A ) for each a A . If A is a finite set with n elements, then (A ) is a set with 2 n elements. Thus we write (A ) 2n . 17 Example 2.11. (i) () , and () 20 1. ii) (1) , 1 , and (1) 21 2 . iii) (1, 2) ,1 , 2 , 1, 2 , and (1, 2) 22 4 . iv) (1, 2,3) ,1 ,2 , 3 , 1, 21,32,3 , 1, 2,3 , and (1, 2,3) 23 8 . 2.4. Sets of numbers. Important sets which we meet in elementary mathematics are sets of numbers. 1. R the set of all real numbers. 2. Z ..., 3, 2, 1,0,1, 2,3,... the set of integers. p q 3. Q x x , 0 q , p Z the set of rational numbers. 4. Q x R x Q the set of irrational numbers. 5. Z 1, 2,3,... the set of positive integers (natural numbers). 6. Z 1, 2, 3,... the set of negative integers. 7. Z00 0,1, 2,3,... the set of non-negative integers. 8. 2Z 2, 4,6,... the set of even positive integers. 9. n Z kn k Z , where n Z . Note that 1) Z Z 00 Z Q R. and Q R . 2 Q and 4Q . 3 3 3) 2 Q , Q and 3 Q . 5 3 4) Q . 5 5) R Q Q . 2) 18 2.5. Ordered pairs and Cartesian products. The Cartesian product is a familiar to students of calculus in a special case, the Cartesian plane , R 2 (x , y ) x , y R . Definition 2.8. Let A and B be any sets and let x A , y B . The ordered pair x and y , written (x , y ) , is defined to be the set (x , y ) x , x , y . For the pair (x , y ) , x is called the first coordinate, and y is called the second coordinate. This definition allows us to distinguish between (x , y ) and ( y , x ) . Thus (x , y ) x , x , y and ( y , x ) y , y , x . Note that (x , y ) ( y , x ) , for x (x , y ) , but x ( y , x ) . In general, (x , y ) (a, b ) x a and y b Example 2.12. (i) (4,3) (3, 4) . (ii) (3x 1, y 1) (4,3) 3x 1 4 and y 1 3 x 1 and y 2 . Definition 2.9. Let A and B be any sets. The Cartesian product of A and B is the set A B (a, b ) a A and b B , that is A B is the set of all ordered pairs (a , b ) , where, a A and b B . If A B , then we write A 2 for A A . Example 2.13. Let A 1, 2 and B 3, 4,5 . Then A B (1,3),(1, 4),(1,5),(2,3),(2, 4),(2,5) B A (3,1),(3, 2),(4,1),(4, 2),(5,1),(5, 2) A 2 (1,1),(1, 2),(2,1),(2, 2) B 2 (3,3),(3, 4),(3,5),(4,3),(4, 4),(4,5),(5,3),(5, 4),(5,5) Thus, in general A B B A . The concept of the Cartesian product can be extended to more than two sets. Thus A1 A 2 A n (a1 , a2 ,..., an ) a1 A1 , a2 A 2 ,..., an A n 19 Theorem 2.9. Let A , B , C and D be sets. Then 1. A (B C ) (A B ) (A C ) . 2. A (B C ) (A B ) (A C ) . 3. (A B ) (C D ) (A C ) (B D ) . 4. (A B ) (C D ) (A C ) (B D ) . Proof . 1. Let (x , y ) A (B C ) (x A ) ( y B C) (x A ) ( y B y C ) (x A y B ) (x A y C ) [(x , y ) A B ] [( x , y ) ( A C )] (x , y ) (A B ) (A C ) C ) ( A B ) (A C ) . Therefore, A (B 2. Let (x , y ) A (B C ) (x A ) ( y B C) (x A ) ( y B y C ) (x A y B ) (x A y C ) [(x , y ) A B ] [( x , y ) ( A C )] (x , y ) (A B ) (A C ) 3. Let x (A B ) (C D ) [x (A B )] [x (C D )] [x (a, b ) A B , wher,a A , b B ] [x (c , d ) C D , wher,c C , d D ] Thus, b d C a c A C x (a, b ) (c , d ) (A C ) and (B D ) x (a, b ) (c , d ) a c and b d . D. Therefore, x (A C ) (B D ) . Hence, (A B ) (C D ) (A Now, let Hence C ) (B and and D) x (u ,v ) (A C ) (B D ) (u A C ) (v B D ) (u A u C ) (v B v D (u A v B ) (u C v D ) [x (u ,v ) A B ] [ x (u ,v ) C D ] x (u ,v ) (A B ) (C D ) Thus, 20 (A C ) (B D ) (A C ) (B D )(A B ) (C D ) Therefore, (A B ) (C D ) (A C ) (B D). (A B ) (C D ) (A C ) (B D) , 4. To show that let x (A B ) (C D ) , then either x A B or x C D . If x A B , then x (a, b ) A B , where a A and b B . Since a A A C and b B B D , we have we, x (a, b ) (A C ) (B D) On the other hand, if x C D , then x (c , d ) C D , where, c C , and d D . Since c C A C and d D B D , we have x (c , d ) (A C ) (B D) Therefore, if x (A B ) (C D ) , then x (A C ) (B D ) , and hence, (A B ) (C D ) (A C ) (B D) Example 2.14. Let A 1, 2 , B 3 , C 4,5 and D 6 . Then A B (1,3), (2,3) C D (4, 6), (5, 6) A C 1, 2, 4,5 B D 3, 6 (A B ) (C D ) (1,3), (2,3), (4, 6), (5, 6) (A C ) (B Hence, D ) (1,3), (1, 6), (2,3), (2, 6), (4,3), (4, 6), (5,3), (5, 6) (A B ) (C D ) (A C ) (B D) and (A C ) (B D ) (A B ) (C D ) . 21