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sets.pptx set operations set notation of sets
sets.pptx set operations set notation of sets
JhayGregorio1
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14 slides
Aug 05, 2024
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Aug 05, 2024
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Slide 1
Set Operators Goals Show how set identities are established Introduce some important identities.
Slide 2
Copyright © Peter Cappello 2 Union Let A & B be sets. A union B, denoted A B , is the set A B = { x | x A x B }. Draw a Venn diagram to visualize this. Example O = { x N | x is odd }. S = { s N | x N s = x 2 }. Describe O S.
Slide 3
Copyright © Peter Cappello 3 Intersection Let A & B be sets. A intersection B, denoted A B , is the set A B = { x | x A x B }. Draw a Venn diagram to visualize this. Example O = { x N | x is odd }. S = { s N | x N s = x 2 }. Describe O S. A & B are disjoint when A B = .
Slide 4
Copyright © Peter Cappello 4 Difference Let A & B be sets. The difference of A & B, denoted A – B , is A – B = { x | x A x B }. Draw a Venn diagram to visualize this. Example O = { x N | x is odd }. S = { s N | x s = x 2 }. Describe O – S.
Slide 5
Copyright © Peter Cappello 5 Complement Let A be a set. The complement of A is { x | x A } = U – A. Draw a Venn diagram to visualize this. Example O = { x N | x is odd}. Describe the complement of O. Since I cannot overline in Powerpoint , I denote the complement of A as A .
Slide 6
Copyright © Peter Cappello 6 Set Identities Identity Name of laws A = A A U = A Identity A U = U A = Domination A A = A A A = A Idempotent Complement of A = A Complementation A B = B A A B = B A Commutative
Slide 7
Copyright © Peter Cappello 7 Identity Name of laws A (B C)= (A B) C A (B C)= (A B) C Associative A (B C) = (A B) (A C) A (B C) = (A B) (A C) Distributive A B = A B A B = A B De Morgan A (A B) = A A (A B) = A Absorption A A = U A A = Complement
Slide 8
Think like a mathematician How much is new here? Logic Set x S S False True Universe complement = Can you mechanically produce set identities from propositional identities via this translation? Example: ( x A x ) x A A = A Copyright © Peter Cappello 8
Slide 9
Copyright © Peter Cappello 9 Prove A B = A B Venn diagrams Draw the Venn diagram of the LHS. Draw the Venn diagram of the RHS. Explain that the regions match.
Slide 10
Copyright © Peter Cappello 10 Prove A B = A B Use set operator definitions A B = { x | x A B } ( defn . of complement) = { x | (x A B) } ( defn . of ) = { x | (x A x B) } ( defn . of ) = { x | (x A x B) } ( Propositional De Morgan) = { x | (x A x B ) } ( defn . of complement ) = A B ( defn . of )
Slide 11
Copyright © Peter Cappello 11 Prove A B = A B Membership Table A B A B A B A B A B F F F T T T T F T T F T F F T F T F F T F T T T F F F F 1 2 3 4 A B Let x be an arbitrary member of the Universe. In the table below, each column denotes the proposition function “ x is a member of this set.”
Slide 12
Think like a mathematician Is membership table the analog of truth table? With 3 propositional variables , a truth table has 2 3 rows. With 3 sets , do we have 2 3 regions? Does this generalize to n sets? What is the analog of modus ponens? What is the set analog of p q? What is the set analog of a tautology? If interested, see chapter 12 of textbook. Copyright © Peter Cappello 12
Slide 13
Analogy between logic & sets In logic: p q ≡ p q Its set analog is P Q Set analog of modus ponens ( p ( p q ) ) q is Complement[ P ( P Q ) ] Q Copyright © Peter Cappello 13
Slide 14
Copyright © Peter Cappello 14 Computer Representation of Sets There are many ways to represent sets. Which is best depends on the particular sets & operations. Bit string: Let | U | = n , where n is not “too” large: U = { a 1 , …, a n }. Represent set A as an n -bit string. If ( a i A ) bit i = 1; else bit i = 0. Operations , , _ are performed bitwise. In Java, Set is the name of an interface . Consider a Java set class (e.g., BitStringSet ), where | U | is a constructor parameter. What data structures might be useful to implement the interface? What public methods might you want? How would you implement them?
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