Math 475 Homework #3 March 1, 2010 Section 4.6

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Math 475 Homework #3 March 1, 2010 Section 4.6 Student: Yu Cheng (Jade) Math 475 Homework #3 March 1, 2010 Section 4.6 Exercise 36-a Let ͒ be a set of ͢ elements. How many different relations on ͒ are there? Answer: On set ͒ with ͢ elements, we have the following facts. ) Number of two different element pairs ƳͦƷ Number of relations on two different elements ) ʚ͕, ͖ʛ ∈ ͌, ʚ͖, ͕ʛ ∈ ͌ 2 Ɛ ƳͦƷ Number of relations including the reflexive ones ) ʚ͕, ͕ʛ ∈ ͌ 2 Ɛ ƳͦƷ ƍ ͢ ġ Number of ways to select these relations to form a relation on ͒ 2ͦƐƳvƷͮ) ͦƐ)! ġ ͮ) ʚ ʛ v 2ͦƐƳvƷͮ) Ɣ 2ʚ)ͯͦʛ!Ɛͦ Ɣ 2) )ͯͥ ͮ) Ɣ 2) . b. How many of these relations are reflexive? Answer: We still have ) number of relations on element pairs to choose from, but we have to 2 Ɛ ƳͦƷ ƍ ͢ include the reflexive one, ʚ͕, ͕ʛ ∈ ͌. There are ͢ relations of this kind. Therefore there are ͦƐ)! ġ ġ ʚ ʛ 2ƳͦƐƳvƷͮ)Ʒͯ) Ɣ 2ͦƐƳvƷ Ɣ 2ʚ)ͯͦʛ!Ɛͦ Ɣ 2) )ͯͥ . c. How many of these relations are symmetric? Answer: To select only the symmetric relations on set ͒ with ͢ elements, we have the following facts. ) Number of symmetric relation pairs between two elements ƳͦƷ Number of relations including the reflexive ones ) ʚ͕, ͕ʛ ∈ ͌ ƳͦƷ ƍ ͢ ġ Number of ways to select these relations to form a relation on ͒ 2ƳvƷͮ) )! )ʚ)ͯͥʛ )ʚ)ͮͥʛ ġ ͮ) ͮ) 2ƳvƷͮ) Ɣ 2ʚ)ͯͦʛ!Ɛͦ Ɣ 2 ͦ Ɣ 2 ͦ . d. How many of these relations are anti-symmetric? Answer: To select only the anti-symmetric relations on set ͒ with ͢ elements, we have the following facts. ) Number of anti-symmetric relations between two elements ƳͦƷ Number of relations including the reflexive ones ) ʚ͕, ͕ʛ ∈ ͌ ƳͦƷ ƍ ͢ ġ Number of ways to select these relations to form a relation on ͒ 2ƳvƷͮ) )! )ʚ)ͯͥʛ )ʚ)ͮͥʛ ġ ͮ) ͮ) 2ƳvƷͮ) Ɣ 2ʚ)ͯͦʛ!Ɛͦ Ɣ 2 ͦ Ɣ 2 ͦ . e. How many of these relations are reflexive and symmetric? Answer: To select only the reflexive and symmetric relations on set ͒ with ͢ elements, we have the following facts. ) Number of symmetric and reflexive relations between two elements ƳͦƷ ġ Number of ways to select these relations to form a relation on ͒ 2ƳvƷ )! ġ )ʚ)ͯͥʛ 2ƳvƷ Ɣ 2ʚ)ͯͦʛ!Ɛͦ Ɣ 2 ͦ . f. How many of these relations are reflexive and anti-symmetric? Answer: Subtracting the number of relations on ͒ that are reflexive from the number of relations on ͒ that are anti-symmetric would result the number of relations on ͒ that are reflexive and anti- symmetric. )! ġ )ʚ)ͯͥʛ 2ƳvƷ Ɣ 2ʚ)ͯͦʛ!Ɛͦ Ɣ 2 ͦ . Exercise 37 Let ͌′ and ͌" be two partial orders on a set ͒. Define a new relation ͌ on ͒ by ͬ͌ͭ if and only if both ͬ͌′ͭ and ͬ͌"ͭ hold. Prove that ͌ is also a partial order on ͒. ( ͌ is called the intersection of ͌′ and ͌".) Answer: According to the definition of partial order set, we need to prove three properties on the given relation ͌: reflexive, transitive, and anti-symmetric hold. Reflexivity: For all ͬ ∈ ͒, we have ʚͬ, ͬʛ ∈ ͌′, since ͌′ is a partial order on ͒. For all ͬ ∈ ͒, we have ʚͬ, ͬʛ ∈ ͌′′ , since ͌′′ is a partial order on ͒. ⇒ For all ͬ ∈ ͒, we have ʚͬ, ͬʛ ∈ ͌, since both ʚͬ, ͬʛ ∈ ͌′ and ʚͬ, ͬʛ ∈ ͌′′ hold. Therefore, ʚͬ, ͬʛ ∈ ͌ for all ͬ ∈ ͒. ͌ is a reflexive relation on ͒. Transitivity: Assume ʚͬ, ͭʛ ∈ ͌ and ʚͭ, ͮʛ ∈ ͌ ⇒ ʚͬ, ͭʛ ∈ ͌′, ʚͭ, ͮʛ ∈ ͌′ and ʚͬ, ͭʛ ∈ ͌′′ , ʚͭ, ͮʛ ∈ ͌′′ . ⇒ ʚͬ, ͮʛ ∈ ͌′, since ͌′ is a partial order; ʚͬ, ͮʛ ∈ ͌′′ , since ͌′′ is a partial order. ⇒ ʚͬ, ͮʛ ∈ ͌, since ʚͬ, ͮʛ ∈ ͌′ and ʚͬ, ͮʛ ∈ ͌′′ both hold. Therefore, ʚͬ, ͭʛ ∈ ͌ ʚͭ, ͮʛ ∈ ͌ is followed by ʚͬ, ͮʛ ∈ ͌. ͌ is a transitive relation on ͒. Anti-symmetry: Assume ʚͬ, ͭʛ ∈ ͌ and ʚͭ, ͬʛ ∈ ͌, where ͬ ƕ ͭ. ⇒ ʚͬ, ͭʛ ∈ ͌′, ʚͭ, ͬʛ ∈ ͌′ and ʚͬ, ͭʛ ∈ ͌′′ , ʚͭ, ͬʛ ∈ ͌′′ , where ͬ ƕ ͭ. ⇒ This is a conflict, since ͌′ and ͌′′ are anti-symmetric relations on ͒. Therefore, ʚͬ, ͭʛ ∈ ͌ is followed by ʚͭ, ͬʛ ∉ ͌. ͌ is an anti-symmetric relation on ͒. Exercise 39 Let ʚ̈́, ƙʛ be the partially ordered set with ̈́ Ɣ ʜ0,1ʝ and with 0 Ɨ 1. By identifying the subsets of a set ͒ of ͢ elements with the ͢-tuples of 0’s and 1’s, prove that the partially ordered set ʚ͒, ⊆ʛ can be identified with the n-fold direct product ʚ̈́, ƙʛ Ɛ ʚ̈́, ƙʛ Ɛ ⋯ Ɛ ʚ̈́, ƙʛ ʚ͢ ͚͕͗ͨͣͦͧ ʛ Answer: By identifying the subset relation of a set with a one element set and an empty set, we have, ʚ͌, ⊆ʛ is a partial order with ͌ Ɣ ƣ∅, ʜͬʝƧ, and with ∅ ⊆ ʜͬʝ. There are ͢ elements in set ͒, so we construct the following relations, ͌ͥ: Ƴƣ∅, ʜͬͥʝƧ, ⊆Ʒ ↔ ̈́ͥ: ʚʜ0, 1ʝ, ƙʛ ͌ͦ: Ƴƣ∅, ʜͬͦʝƧ, ⊆Ʒ ↔ ̈́ͦ: ʚʜ0, 1ʝ, ƙʛ : : : : : ͌): Ƴƣ∅, ʜͬ)ʝƧ, ⊆Ʒ ↔ ̈́): ʚʜ0, 1ʝ, ƙʛ ⇒ ͌+-*0/ Ɣ ʚ͌ͥ, ⊆ʛ Ɛ ʚ͌ͦ, ⊆ʛ Ɛ ⋯ Ɛ ʚ͌) ⊆ʛ ↔ ʚ̈́ͥ, ƙʛ Ɛ ʚ̈́ͦ, ƙʛ Ɛ ⋯ Ɛ ʚ̈́) ƙʛ ʚ̈́ͥ, ƙʛ Ɛ ʚ̈́ͦ, ƙʛ Ɛ ⋯ Ɛ ʚ̈́), ƙʛ defines a partial order set on ͢-tuples of 0’s and 1’s. So now we need to prove relation, ͌+-*0/ Ɣ ʚ͌ͥ, ⊆ʛ Ɛ ʚ͌ͦ, ⊆ʛ Ɛ ⋯ Ɛ ʚ͌), ⊆ʛ, is the same thing as the subset relation on ͒ Ɣ ʜͬͥ, ͬͦ, ⋯ ͬ)ʝ. Therefore, if ͒ͥ, and ͒ͦ are subsets of ͒, the goal is to prove ʚ͒ͥ, ͒ͦʛ ∈ ͌+-*0/ ., if and only ͒ͥ ⊆ ͒ͦ. If ͒ͥ, and ͒ͦ are two subsets of ͒, and ͒ͥ ⊆ ͒ͦ, then let ͒ͥ Ɣ ʜͬͥ, ͬͦ, ⋯ , ͬ(ʝ, and ͒ͦ Ɣ ʜͬͥ, ͬͦ, ⋯ , ͬ(, ͬ(ͮͥ, ⋯ , ͬ(ͮ&ʝ. We can then rewrite these two sets in the form of, Column #1 Column #2 Column #3 ͒ͥ: ʜͬͥʝ, ʜͬͦʝ, ⋯ , ʜͬ(ʝ, ∅(ͮͥ, ∅(ͮͦ, ⋯ , ∅(ͮ&, ∅(ͮ&ͮͥ , ⋯ , ∅) ͒ͦ: ʜͬͥʝ, ʜͬͦʝ, ⋯ , ʜͬ(ʝ, ʜͬ(ͮͥʝ, ʜͬ(ͮͦʝ ⋯ , ʜͬ(ͮ&ʝ, ∅(ͮ&ͮͥ , ⋯ , ∅) For column #1 ʜͬͥʝ ⊆ ʜͬͥʝ; ʜͬͦʝ ⊆ ʜͬͦʝ; ⋯ ; ʜͬ(ʝ ⊆ ʜͬ(ʝ , For column #2 ∅(ͮͥ ⊆ ʜͬ(ͮͥ ʝ; ∅(ͮͦ ⊆ ʜͬͦʝ; ⋯ ; ∅(ͮ& ⊆ ʜͬ(ͮ&ʝ , For column #3 ∅(ͮ&ͮͥ ⊆ ∅(ͮ&ͮͥ; ∅(ͮ&ͮͦ ⊆ ∅(ͮ&ͮͦ; ⋯ ; ∅) ⊆ ∅) ⇒ ʚ͒ͥ, ͒ͦʛ ∈ ͌+-*0/ according to the definition of relation product. If ʚ͒ͥ, ͒ͦʛ ∈ ͌+-*0/ then ͒ͥ and ͒ͦ have to satisfy the form above, therefore ͒ͥ ⊆ ͒ͦ . Therefore, we’ve shown that the partially ordered set ʚ͒, ⊆ʛ is identified by the subsets of a set ͒ of ͢ elements with the ͢-tuples of 0’s and 1’s. The following example illustrates this corresponding relationship between ͢-tuples of 0’s and 1’s with and subset relation. We have ͒ Ɣ ʜ͕, ͖, ͗ʝ, and 3-tuples of 0’s and 1’s. Exercise 40 Generalize Exercise 39 to the multiset of all combinations of the multiset ͒ Ɣ ʜͥ͢ ⋅ ͕ͥ, ͦ͢ ⋅ ͕ͦ, ⋯ , ͢( ⋅ ͕(ʝ. Answer: Let ʚ̈́, ƙʛ be the partially ordered set with ̈́ Ɣ ʜ0,1, ⋯ , ͢ʝ and with 0 Ɨ 1 Ɨ, ⋯ , Ɨ ͢. The partially ordered set ʚ͒, ⊆ʛ on a multiset ͒ Ɣ ʜͥ͢ ⋅ ͕ͥ, ͦ͢ ⋅ ͕ͦ, ⋯ , ͢( ⋅ ͕(ʝ, can be identified by a ͡-tuples of 0’s, 1’s, …, and n’s. ͌ͥ: Ƴƣ∅, ͥ͢ ⋅ ʜͬͥʝƧ, ⊆Ʒ ↔ ̈́ͥ: ʚʜ0, 1, ⋯ , ͥ͢ʝ, ƙʛ ͌ͦ: Ƴƣ∅, ͦ͢ ⋅ ʜͬͦʝƧ, ⊆Ʒ ↔ ̈́ͦ: ʚʜ0, 1, ⋯ , ͦ͢ʝ, ƙʛ : : : : : ͌(: Ƴƣ∅, ͢( ⋅ ʜͬ(ʝƧ, ⊆Ʒ ↔ ̈́(: ʚʜ0, 1, ⋯ , ͢(ʝ, ƙʛ ⇒ ͌+-*0/ Ɣ ʚ͌ͥ, ⊆ʛ Ɛ ʚ͌ͦ, ⊆ʛ Ɛ ⋯ Ɛ ʚ͌( ⊆ʛ ↔ ʚ̈́ͥ, ƙʛ Ɛ ʚ̈́ͦ, ƙʛ Ɛ ⋯ Ɛ ʚ̈́( ƙʛ The proof proceeds the same as the proof in Exercise 39. The following example illustrates this corresponding relationship between ͢-tuples of 0’s, 1’s, …, and n’s with and subset relation on a multiset. We have ͒ Ɣ ʜ͕, ͕, ͖, ͖, ͗ʝ, and 3-tuples of 0’s, 1’s, and 2’s. Exercise 42 Describe the cover relation for the partial order ⊆ on the collection Ěʚ͒ʛ of an subsets of a set ͒. Answer: The cover relation for the partial order ⊆ on set ͒ is the ⊂ relation. In other words, the transitive closure of ⊂ together with the reflexive relations on set ͒ makes the relation ⊆. Exercise 43 Let ͒ Ɣ ʜ͕,͖,͗,͘,͙,͚ʝ and let the relation ͌ on ͒ be defined by ͕͖͌ , ͖͌͗ , ͗͌͘ , ͕͙͌ , ͙͚͌ , ͚͌͘ . Verify that ͌ is the cover relation of a partially ordered set, and determine all the linear extensions of this partial order. Answer: The direct graph representation and the adjacent matrix representation of the given relation on set ͒ Ɣ ʜ͕,͖,͗,͘,͙,͚ʝ are shown below. ͕ ͖ ͗ ͘ ͙ ͚ ͕ 0 1 0 0 1 0 ͖ ˥0 0 1 0 0 0˨ ͗ ˦ ˩ ͇ Ɣ ˦0 0 0 1 0 0˩ ͘ ˦0 0 0 0 0 0˩ ͙ ˦0 0 0 0 0 1˩ ͚ ˧0 0 0 1 0 0˪ The transitive and reflexive closure of the given relation can be represented as the following direct graph. ͕ ͖ ͗ ͘ ͙ ͚ ͕ 11 1 1 1 1 ͖ ˥01 1 1 0 0˨ ͗ ˦ ˩ ͇ Ɣ ˦0 01 1 0 0˩ ͘ ˦0 0 01 0 0˩ ͙ ˦0 0 01 1 1˩ ͚ ˧0 0 0 1 0 1˪ By evaluating the graph, and the adjacency matrix, it’s clear that this relation is reflexive, transitive and anti-symmetric.
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  • Section 4.1 Relations
    Binary Relations (Donny, Mary) (cousins, brother and sister, or whatever) Section 4.1 Relations - to distinguish certain ordered pairs of objects from other ordered pairs because the components of the distinguished pairs satisfy some relationship that the components of the other pairs do not. 1 2 The Cartesian product of a set S with itself, S x S or S2, is the set e.g. Let S = {1, 2, 4}. of all ordered pairs of elements of S. On the set S x S = {(1, 1), (1, 2), (1, 4), (2, 1), (2, 2), Let S = {1, 2, 3}; then (2, 4), (4, 1), (4, 2), (4, 4)} S x S = {(1, 1), (1, 2), (1, 3), (2, 1), (2, 2), (2, 3), (3, 1), (3, 2) , (3, 3)} For relationship of equality, then (1, 1), (2, 2), (3, 3) would be the A binary relation can be defined by: distinguished elements of S x S, that is, the only ordered pairs whose components are equal. x y x = y 1. Describing the relation x y if and only if x = y/2 x y x < y/2 For relationship of one number being less than another, we Thus (1, 2) and (2, 4) satisfy . would choose (1, 2), (1, 3), and (2, 3) as the distinguished ordered pairs of S x S. x y x < y 2. Specifying a subset of S x S {(1, 2), (2, 4)} is the set of ordered pairs satisfying The notation x y indicates that the ordered pair (x, y) satisfies a relation .
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  • Relations April 4
    math 55 - Relations April 4 Relations Let A and B be two sets. A (binary) relation on A and B is a subset R ⊂ A × B. We often write aRb to mean (a; b) 2 R. The following are properties of relations on a set S (where above A = S and B = S are taken to be the same set S): 1. Reflexive: (a; a) 2 R for all a 2 S. 2. Symmetric: (a; b) 2 R () (b; a) 2 R for all a; b 2 S. 3. Antisymmetric: (a; b) 2 R and (b; a) 2 R =) a = b. 4. Transitive: (a; b) 2 R and (b; c) 2 R =) (a; c) 2 R for all a; b; c 2 S. Exercises For each of the following relations, which of the above properties do they have? 1. Let R be the relation on Z+ defined by R = f(a; b) j a divides bg. Reflexive, antisymmetric, and transitive 2. Let R be the relation on Z defined by R = f(a; b) j a ≡ b (mod 33)g. Reflexive, symmetric, and transitive 3. Let R be the relation on R defined by R = f(a; b) j a < bg. Symmetric and transitive 4. Let S be the set of all convergent sequences of rational numbers. Let R be the relation on S defined by f(a; b) j lim a = lim bg. Reflexive, symmetric, transitive 5. Let P be the set of all propositional statements. Let R be the relation on P defined by R = f(a; b) j a ! b is trueg.
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  • Relations II
    CS 441 Discrete Mathematics for CS Lecture 22 Relations II Milos Hauskrecht [email protected] 5329 Sennott Square CS 441 Discrete mathematics for CS M. Hauskrecht Cartesian product (review) •Let A={a1, a2, ..ak} and B={b1,b2,..bm}. • The Cartesian product A x B is defined by a set of pairs {(a1 b1), (a1, b2), … (a1, bm), …, (ak,bm)}. Example: Let A={a,b,c} and B={1 2 3}. What is AxB? AxB = {(a,1),(a,2),(a,3),(b,1),(b,2),(b,3)} CS 441 Discrete mathematics for CS M. Hauskrecht 1 Binary relation Definition: Let A and B be sets. A binary relation from A to B is a subset of a Cartesian product A x B. Example: Let A={a,b,c} and B={1,2,3}. • R={(a,1),(b,2),(c,2)} is an example of a relation from A to B. CS 441 Discrete mathematics for CS M. Hauskrecht Representing binary relations • We can graphically represent a binary relation R as follows: •if a R b then draw an arrow from a to b. a b Example: • Let A = {0, 1, 2}, B = {u,v} and R = { (0,u), (0,v), (1,v), (2,u) } •Note: R A x B. • Graph: 2 0 u v 1 CS 441 Discrete mathematics for CS M. Hauskrecht 2 Representing binary relations • We can represent a binary relation R by a table showing (marking) the ordered pairs of R. Example: • Let A = {0, 1, 2}, B = {u,v} and R = { (0,u), (0,v), (1,v), (2,u) } • Table: R | u v or R | u v 0 | x x 0 | 1 1 1 | x 1 | 0 1 2 | x 2 | 1 0 CS 441 Discrete mathematics for CS M.
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  • Binary Relations and Preference Modeling
    Chapter 2 Binary Relations and Preference Modeling 2.1. Introduction This volume is dedicated to concepts, results, procedures and software aiming at helping people make a decision. It is then natural to investigate how the various courses of action that are involved in this decision compare in terms of preference. The aim of this chapter is to propose a brief survey of the main tools and results that can be useful to do so. The literature on preference modeling is vast. This can first be explained by the fact that the question of modeling preferences occurs in several disciplines, e.g. – in Economics, where one tries to model the preferences of a ‘rational consumer’ [e.g. DEB 59]; – in Psychology in which the study of preference judgments collected in experi- ments is quite common [KAH 79, KAH 81]; – in Political Sciences in which the question of defining a collective preference on the basis of the opinion of several voters is central [SEN 86]; – in Operational Research in which optimizing an objective function implies the definition of a direction of preference [ROY 85]; and – in Artificial Intelligence in which the creation of autonomous agents able to take decisions implies the modeling of their vision of what is desirable and what is less so [DOY 92]. Chapter written by Denis BOUYSSOU and Philippe VINCKE. 49 50 Decision Making Moreover, the question of preference modeling can be studied from a variety of perspectives [BEL 88], including: –a normative perspective, where one investigates preference models that are likely to lead to a ‘rational behavior’; –a descriptive perspective, in which adequate models to capture judgements ob- tained in experiments are sought; or –a prescriptive perspective, in which one tries to build a preference model that is able to lead to an adequate recommendation.
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