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Elementary Notions and Notations: Sets and Subsets

This lecture introduces the elementary notions and notations related to sets and subsets. It covers the definition of sets, describing sets by properties, equality of sets, subsets, and the power set. Proof strategies for subsets and equality of sets are also discussed.

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Elementary Notions and Notations: Sets and Subsets

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  1. ICOM 4075: Foundations of Computing Lecture 2:Elementary Notions and Notations (2) Department of Electrical and Computer Engineering University of Puerto Rico at Mayagüez Spring 2010 Lecture Notes Originally Written By Prof. Yi Qian

  2. Homework 1 (due Tuesday, Feb 9, 2010) • Section 1.1: (pp.12-13) 2. 3. 4. b., d. 5. 6. 7. a., b. 8. b., c., d. Random Problems will be graded

  3. Reading • Textbook: James L. Hein, Discrete Structures, Logic, and Computability, 2nd edition, Chapter 1. Section 1.2

  4. Sets • A set is a collection of things called elements, members, or objects. • If S is a set and x is an element in S, then we write x S • If x is not an element of S, then we write x S • If x S and y S, we then write x, y S

  5. Describing Sets • One way to define a set is to explicitly name its elements: • e.g., S = {x, y, z} • Sets can have other sets as elements • e.g., A = {x, {x, y}} has two elements. One element is x, and the other element is {x, y}. So we can write x A and {x, y} A. • An important characteristic of sets is that there are no repeated occurrences of elements. • e.g., {x, y, y, z} is not a set since there are two occurrences of the letter y. • We can write {1, 2, 3, 4, 5, 6, 7, 8, 9, 10 11} as {1, 2, … 11}, or {1, 2, 3, …, 10, 11}, or … • The set with no elements is called the empty set (or null set). The empty set is denoted by { } or • A set with one element is called a singleton. e.g., {a} and {c} are singletons.

  6. Equality of Sets • Two sets are equal if they have the same elements. • We denote the fact that two sets A and B are equal by writing A = B. • {u, g, h} = {h, u, g} • If the sets A and B are not equal, we write A ≠ B. • e.g., {a, b, c} ≠ {a, b} • e.g., {a} ≠ • Two Characteristics of Sets: • There are no repeated occurrences of elements. • There is no particular order or arrangement of the elements.

  7. Finite and Infinite Sets • Natural Numbers and Integers: N = {0, 1, 2, 3, …} Z = {…, -3, -2, -1, 0, 1, 2, 3, …}

  8. Describing Sets by Properties • Many sets are hard to describe by listing elements. Instead of listing the elements, we can often describe a property that the elements of the set satisfy. • e.g., the set of rational numbers Q, the set of real numbers R. • e.g., the set of odd integers consists of integers having the form 2k + 1 for some integer k.

  9. Describing Sets by Properties • If P is a property, then the set S whose elements have property P is denoted by writing S = {x | x has property P} • e.g., Odd = {…, -5, -3, -1, 1, 3, 5, …} = {x | x is an odd integer} = {x | x = 2k + 1 for some integer k} = {x | x = 2k + 1 for some k Z} • e.g., {1, 2, 3, …, 11} = {x | x N and 1 ≤ x ≤ 11} • We can also write Odd = {2k + 1 | k is an integer} = {2k + 1 | k Z}

  10. Subsets • If A and B are sets and every element of A is also an element of B, then we say that A is a subset of B and write A B • e.g., {a, b} {a, b, c} • e.g., {0, 1, 2} N, and N Z • e.g., A A • e.g., A, empty set is a subset of any set A. • If A B and there is some element in B that does not occur in A, then A is called a proper subset of B. • e.g., {a, b} is a proper subset of {a, b, c} • e.g., N is a proper subset of Z, and Z is a proper subset of Q, and Q is a proper subset of R. • If A is not a subset of B, we write it as A B • e.g., {a, b} {a, c} • e.g., {0, -1, -2} N

  11. The Power Set • The collection of all subsets of a set S is called the power set of S, which we denote by power(S). • e.g., if S = {a, b, c}, then the power set of S can be written as follows: power(S) = { Φ, {a}, {b}, {c}, {a, b}, {a, c}, {b, c}, S} • e.g., …

  12. A B x Venn diagram of proper subset A B Venn Diagrams • Venn Diagrams A Venn diagram consists of one or more closed curves in which the interior of each curve represents a set. • e.g., the Venn diagram in the following represents the fact that A is a proper subset of B and x is an element of B that does not occur in A.

  13. Proof Strategies with Subsets and Equality Equality of Sets A = B means A B and B A Three useful strategies for comparing two sets Statement to Prove Proof Strategy A B For arbitrary x A, show that x B. A B Find an element x A such that x B. A = B Show that A B and show that B A

  14. Proof Strategies with Subsets and Equality • Subset Proof Example: Show that A B, where A and B are defined as follows: A = {x | x is a prime number and 42 ≤ x ≤ 51}, B = {x | x = 4k + 3 and k N}. Proof:

  15. Proof Strategies with Subsets and Equality • Subset Proof Example: Show that A B, where A and B are defined as follows: A = {x | x is a prime number and 42 ≤ x ≤ 51}, B = {x | x = 4k + 3 and k N}. Proof: Let x A, then either x = 43 or x = 47. We can write 43 = 4(10) + 3 and 47 = 4(11) + 3. So in either case, x has the form of an element of B. Thus x B. Therefore A B. QED.

  16. Proof Strategies with Subsets and Equality • Not-Subset Proof Example: Show that A B and B A, where A and B are defined by A = {3k + 1 | k N} and B = {4k + 1 | k N}. Proof:

  17. Proof Strategies with Subsets and Equality • Not-Subset Proof Example: Show that A B and B A, where A and B are defined by A = {3k + 1 | k N} and B = {4k + 1 | k N}. Proof: By listing a few elements from each set we can write A and B as follows: A = {1, 4, 7, …} and B = {1, 5, 9, …}. Now it’s easy to prove that A B because 4 A and 4 B. We can also prove that B A by observing that 5 B and 5 A. QED.

  18. Proof Strategies with Subsets and Equality • Equal Set Proof Example: Show that A = B, where A and B are defined as follows: A = {x | x is prime and 12 ≤ x ≤ 18}, B = {x | x = 4k + 1 and k {3, 4}}. Proof:

  19. Proof Strategies with Subsets and Equality • Equal Set Proof Example: Show that A = B, where A and B are defined as follows: A = {x | x is prime and 12 ≤ x ≤ 18}, B = {x | x = 4k + 1 and k {3, 4}}. Proof: First we’ll show that A B. Let x A, then either x = 13 or x = 17. We can write 13 = 4(3) + 1 and 17 = 4(4) + 1. It follows that x B. Therefore A B. Next we’ll show that B A. Let x B. It follows that either x = 4(3) + 1 or x = 4(4) + 1. i.e., x = 13 or x = 17. In either case, x is a prime number between 12 and 18. Therefore, B A. So A = B. QED.

  20. A B Venn diagram of A B Operations of Sets • Union of Sets • The union of two sets A and B is the set of all elements that are either in A or in B or in both A and B. The union is defined by A B and we can given the following formal definition. A B = {x | x A or x B}. here the word of “or” in the definition means “either or both”. • e.g., … • Properties of Union a. A = A b. A B = B A ( is commutative) c. A (B C) = (A B) C ( is associative) d. A A = A e. A B if and only if A B = B

  21. …… …........ ……….. ………. …… A B Venn diagram of A B Operations of Sets • Intersection of Sets • The intersection of two sets A and B is the set of all elements that are both in A and B. The intersection is defined by A B and we can given the following formal definition. A B = {x | x A and x B}. • e.g., … • Properties of Intersection a. A = b. A B = B A ( is commutative) c. A (B C) = (A B) C ( is associative) d. A A = A e. A B if and only if A B = A

  22. A B A B ................ ………..…. …………… …………... ……..….. ................. ……….…. …………… …………... .……..…. Venn diagram of A B Venn diagram of A - B Operations of Sets • Differences of Sets • If A and B are sets, then difference A – B (also called the relative complement of B in A) is the set of elements in A that are not in B, which we can describe as a difference of sets. A – B = {x | x A and x B} • A natural extension of the difference A – B is the symmetric difference of sets A and B, which is the union of A – B and B – A and is denoted by A B. A B = {x | x A or x B but not both} A B = (A B) – (A B) (A B) C = A (B C)

  23. U A B Venn diagram of (A B)’ Operations of Sets • Complement of a Set • If the discussion always refers to sets that are subsets of a particular set U, then U is called the universe of discourse, the difference U – A is called the complementof A, which we denote by A’. The Venn diagram pictures the universe U as a rectangle, with two subsets A and B, where the shaded region represents the complement (A B)’.

  24. Operations of Sets • Combining Set Operations • Combining Properties of Union and Intersection a. A (B C) = (A B) (A C) ( distributes over ) b. A (B C) = (A B) (A C) ( distributes over ) c. A (A B) = A (absorption law) d. A (A B) = A (absorption law)

  25. Operations of Sets • Properties of Complement a. (A’)’ = A b. ’ = U and U’ = c. A A’ = and A A’ = U d. A B if and only if B’ A’ e. (A B)’ = A’ B’ (De Morgan’s law) f. (A B)’ = A’ B’ (De Morgan’s law) g. A (A’ B) = A B (absorption law) h. A (A’ B) = A B (absorption law)

  26. Operations of Sets • The union operation can be defined for an arbitrary collection of sets in a natural way. • e.g., the union of the n sets A1, …, An can be denoted in the following way • e.g., the union of the infinite collection of sets A1, A2, …, An, … can be denoted in the following way • If I is a set of indices and Ai is a set for each i I, then the union of the sets in the collection can be denoted in the following way • The intersection operation can be defined for an arbitrary collection of sets in a natural way. • e.g., the intersection of the n sets A1, …, An can be denoted in the following way • e.g., the intersection of the infinite collection of sets A1, A2, …, An, … can be denoted in the following way • If I is a set of indices and Ai is a set for each i I, then the intersection of the sets in the collection can be denoted in the following way

  27. Counting Finite Sets • Definition: The size of a set S is called its cardinality, which denoted by |S|. • e.g., if S = {w, x, y, z}, then |S| = |{w, x, y, z}| = 4. We say “the cardinality of S is 4”, or “4 is the cardinal number of S”, or simply “S has 4 elements”. • Counting by Inclusion and Exclusion Union Rule |A B| = |A| + |B| - |A B| |A B C| = |A| + |B| + |C| - |A B| - |B C| - |C A| + |A B C| The popular name for the union rule and its extensions to three or more sets is the principle of inclusion and exclusion.

  28. Example: A Building Project • Example: Suppose A, B, C are sets of tools needed by three workers on a job. For convenience let’s call the workers A, B, and C. Suppose further that the workers share some tools (for example, on a housing project, all three workers might share a single table saw). Suppose that A uses 8 tools, B uses 10 tools, and C uses 5 tools. Suppose further that A and B share 3 tools, A and C share 2 tools, and B and C share 2 tools. Finally, suppose that A, B, and C share the use of 2 tools. How many distinct tools are necessary to do the job?

  29. Example: A Building Project • Example: Suppose A, B, C are sets of tools needed by three workers on a job. For convenience let’s call the workers A, B, and C. Suppose further that the workers share some tools (for example, on a housing project, all three workers might share a single table saw). Suppose that A uses 8 tools, B uses 10 tools, and C uses 5 tools. Suppose further that A and B share 3 tools, A and C share 2 tools, and B and C share 2 tools. Finally, suppose that A, B, and C share the use of 2 tools. How many distinct tools are necessary to do the job? Solutions: We want to find the value |A B C| |A B C| = |A| + |B| + |C| - |A B| - |B C| - |C A| + |A B C| = 8 + 10 + 5 – 3 – 2 – 2 + 2 = 18 tools

  30. Counting Finite Sets • Counting the Differences of Two Sets Difference Rule |A – B| = |A| - |A B| It’s easy to discover this rule by drawing a Venn diagram.

  31. Bags • Bags (Multisets) • A bag (or multiset) is a collection of objects that may contain repeated occurrences of elements. • Two Characteristics of Bags • 1. There may be repeated occurrences of elements. • 2. There is no particular order or arrangement of the elements • To differentiate bags from sets, we use brackets to enclose the elements. • e.g., [a, b, a, e, u] is a bag with five elements. • Two bags A and B are equal if the number of occurrences of each elements in A or B is the same in either bag. • e.g., [a, b, a, e, g] = [a, a, g, b, e], but [a, a, b, d] ≠ [a, b, d]

  32. subbag • Define A to be a subbag of B, and write A B, if the number of occurrences of each element x in A is less than or equal to the number of occurrences of x in B. • e.g., [a, b] [a, b, a], but [a, b, a] [a, b] • Two bags A and B are equal if and only if A is a subbag of B and B is a subbag of A. • Define the sum of two bags A and B, denoted by A + B, as: If x occurs m times in A and n times in B, then x occurs m + n times in A + B. • e.g., [2, 2, 3] + [2, 3, 3, 4] = [2, 2, 2, 3, 3, 3, 4] • Define union and intersection for bags: Let m and n be the number of times x occurs in bags A and B, respectively. Put the larger of m and n occurrences of x in A B. Put the smaller of m and n occurrences of x in A B. • e.g., [2, 2, 3] [2, 3, 3, 4] = [2, 2, 3, 3, 4], and [2, 2, 3] [2, 3, 3, 4] = [2, 3]

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