Discrete Math: Sets, Sequences, Functions, and Relations

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Questions and Answers

Given the complexities of defining a 'set,' particularly in mathematical logic, which of the following foundational issues poses the most significant challenge to the unbridled use of set theory in the formalization of all mathematical discourse?

  • The axiom of choice's non-constructive nature undermines predicativity.
  • Gödel's incompleteness theorems demonstrate the impossibility of a complete and consistent axiomatization of set theory.
  • The Löwenheim-Skolem theorem implies the existence of non-standard models of set theory, complicating semantic interpretations.
  • Russell's paradox exposes the potential for inherent contradictions in unrestricted comprehension. (correct)

The axiom of extensionality in Zermelo-Fraenkel set theory (ZFC) definitively resolves all philosophical debates regarding the identity criteria for sets, thereby eliminating any ambiguity in determining whether two sets are, in fact, the same.

False (B)

Within the framework of axiomatic set theory, particularly ZFC, the construction of the von Neumann universe proceeds through transfinite recursion, indexed by ordinal numbers. At each stage $\alpha$, the set $V_{\alpha}$ is constructed by taking the power set of the previous stage. Formally, $V_{\alpha+1} =$ ____. The union of all such $V{\alpha}$ forms the von Neumann universe, a model for all of ZFC.

$P(V_{\alpha})$

Consider a variant of Zermelo–Fraenkel set theory where the axiom of regularity is replaced with its negation. Describe a potential consequence of this modification concerning the structure of sets within this modified theory, paying particular attention to the existence (or non-existence) of well-founded sets.

<p>Without the axiom of regularity, sets can contain themselves or form infinitely descending membership chains, meaning not all sets would be well-founded. The modified theory is then no longer consistent with the principle of well-foundedness.</p> Signup and view all the answers

Match the following set-theoretic axioms with their corresponding intuitive descriptions:

<p>Axiom of Choice = Guarantees the existence of a choice function for any collection of non-empty sets, allowing the selection of one element from each set, even if the collection is infinite and no explicit rule for selection is provided. Axiom of Replacement = Asserts that the image of a set under a definable function is also a set; if every element of a set is replaced according to a uniform rule, the result is also a set. Axiom of Power Set = Postulates that for every set, there exists a set containing all the subsets of the original set; the set of all subsets of a set is also a set. Axiom of Infinity = Ensures the existence of at least one infinite set, typically the set of natural numbers, allowing for the construction of more complex mathematical structures.</p> Signup and view all the answers

Given the subtleties involved in defining the 'power set' rigorously, what critical distinction must be maintained to avoid logical inconsistencies when applying the power set operation iteratively?

<p>Maintaining a strict separation between the 'set' and 'class' concepts, especially when dealing with power sets of 'large' sets. (D)</p> Signup and view all the answers

Zermelo-Fraenkel set theory with the axiom of choice (ZFC) categorically proves the well-ordering theorem, implying that every set, regardless of its cardinality or structure, can be placed in a well-ordered sequence; therefore, debates about the constructibility of such well-orderings are purely philosophical and have no bearing on the mathematical validity of the theorem within ZFC.

<p>False (B)</p> Signup and view all the answers

Tarski's theorem on the undefinability of truth demonstrates a fundamental limitation in formal systems. Specifically, if a formal system F is sufficiently strong (i.e., capable of interpreting arithmetic) and consistent, then the set of Gödel numbers of true sentences of F is not ____________ in F; that is, there is no formula within F that can correctly identify all and only the true sentences of F.

<p>definable</p> Signup and view all the answers

Describe the structural characteristics of sets constructed using the 'Cantor pairing function,' and outline a significant implication of this construction for understanding the cardinality of sets resulting from Cartesian products.

<p>The Cantor pairing function bijectively maps ordered pairs of natural numbers to single natural numbers. This demonstrates that the Cartesian product of the set of natural numbers with itself has the same cardinality as the set of natural numbers itself (i.e., it is countably infinite).</p> Signup and view all the answers

Match the following set operations with their corresponding set-builder notations, assuming $A$ and $B$ are arbitrary sets:

<p>Union (A ∪ B) = {x | x ∈ A or x ∈ B} Intersection (A ∩ B) = {x | x ∈ A and x ∈ B} Set Difference (A - B) = {x | x ∈ A and x ∉ B} Symmetric Difference (A ⊕ B) = {x | (x ∈ A and x ∉ B) or (x ∈ B and x ∉ A)}</p> Signup and view all the answers

Given the role of 'Venn diagrams' in visualizing set relationships, what inherent limitation exists in their application when dealing with set operations involving a very large (e.g., uncountable) number of sets or sets with highly complex, non-intuitive relationships?

<p>The visual representation becomes intractably complex and loses its illustrative power as the number of sets increases or the relationships become more abstract. (A)</p> Signup and view all the answers

The principle of mathematical induction, while fundamental in number theory, is entirely inapplicable to proving properties of sets, since sets lack the inherent ordinal structure required for inductive arguments.

<p>False (B)</p> Signup and view all the answers

In the context of transfinite set theory, a cardinal number $\kappa$ is said to be __________ if it is greater than the cardinality of its power set, i.e., $\kappa > |P(\kappa)|$. The assertion that such cardinals exist is independent of ZFC.

<p>inaccessible</p> Signup and view all the answers

Outline the key differences between 'naive set theory' and axiomatic set theory (e.g., ZFC), focusing on how axiomatic approaches address the paradoxes that arise in the naive framework.

<p>Naive set theory assumes that any definable collection is a set, leading to paradoxes like Russell's paradox. Axiomatic set theory, like ZFC, restricts set formation through axioms, preventing these paradoxes by imposing stricter rules on what can be considered a set.</p> Signup and view all the answers

Match each set identity with the correct name

<p>A ∪ Ø = A = Identity Law A ∪ U = U = Domination Law A ∪ A = A = Idempotent Law (A')' = A = Complementation Law</p> Signup and view all the answers

Considering the computational representation of 'sets' using bit strings, what inherent limitation arises when dealing with sets whose elements are drawn from an infinite universe?

<p>The limited memory capacity of any physical computer restricts the length of the bit strings, thereby preventing the representation of infinite sets. (C)</p> Signup and view all the answers

Given that computers can only manipulate finite data structures, the concept of representing 'infinite sets' within a computer is fundamentally flawed: any computational manipulation will necessarily operate on a finite approximation, thus distorting the true mathematical properties of the infinite set.

<p>True (A)</p> Signup and view all the answers

The 'continuum hypothesis' (CH) postulates that there is no set whose cardinality is strictly between that of the integers ($\aleph_0$) and the real numbers ($\mathfrak{c}$). Gödel proved that CH is consistent with ZFC, and Cohen later showed that the negation of CH is also consistent with ZFC, meaning that within ZFC, CH is ___________.

<p>independent</p> Signup and view all the answers

Explain the distinction between 'intensional definition' and 'extensional definition' of a set, and discuss why exclusively relying on extensional definitions can be problematic, especially when dealing with infinite sets or sets defined by complex properties.

<p>An intensional definition defines a set by specifying a property its elements must satisfy, while an extensional definition lists all the elements of the set. Extensional definitions are problematic for infinite sets because they cannot be fully enumerated, and for sets defined by complex properties because it may be difficult or impossible to determine all the elements satisfying the property.</p> Signup and view all the answers

Match the following concepts related to set theory with their corresponding descriptions:

<p>Well-founded set = A set that does not contain itself and does not have an infinite descending membership chain. Transitive set = A set in which every element of an element is also an element of the set itself. Ordinal number = A transitive set that is well-ordered by the membership relation. Cardinal number = An ordinal number that cannot be mapped bijectively onto a smaller ordinal number.</p> Signup and view all the answers

Given the iterative construction of the von Neumann universe in axiomatic set theory, which statement best reflects the significance of this construction for understanding the scope and limitations of ZFC?

<p>The von Neumann universe provides a 'model' for ZFC, suggesting that ZFC is consistent (assuming the existence of the von Neumann universe itself) but does not prove its completeness. (A)</p> Signup and view all the answers

The 'axiom of regularity' (also known as the axiom of foundation) is indispensable for ensuring the consistency of Zermelo-Fraenkel set theory (ZFC); without it, the system becomes demonstrably inconsistent, leading to the derivation of logical contradictions.

<p>False (B)</p> Signup and view all the answers

In the context of computability theory, if a set $A$ is such that both $A$ and its complement $A'$ are recursively enumerable (RE), then $A$ is said to be ____________. This implies the existence of an algorithm that can decide membership in $A$ in finite time.

<p>recursive</p> Signup and view all the answers

Explain the significance of the 'Banach-Tarski paradox' in the context of measure theory and set theory. How does it challenge our intuitive understanding of volume and set decomposition?

<p>The Banach-Tarski paradox demonstrates that a solid ball in 3-dimensional space can be decomposed into a finite number of disjoint subsets, which can then be reassembled (using only rotations and translations) into two identical copies of the original ball. This violates our intuition about volume, as it suggests that a set can be 'duplicated' through decomposition and reassembly, implying volume is not preserved under such operations unless one abandons countable additivity (the axiom of choice is required).</p> Signup and view all the answers

Match the following theorems and paradoxes with their primary implications for the foundations of mathematics and set theory:

<p>Gödel's Incompleteness Theorems = Demonstrate inherent limitations in the axiomatization of mathematics, showing that any sufficiently complex formal system will contain statements that are true but unprovable within the system, and that the system cannot prove its own consistency. Cantor's Theorem = Proves that the power set of any set has a strictly greater cardinality than the original set, demonstrating the existence of an infinite hierarchy of infinities. Russell's Paradox = Exposes the potential for contradictions in naive set theory by considering the set of all sets that do not contain themselves. Banach-Tarski Paradox = Shows that, given the axiom of choice, a solid ball in three-dimensional space can be decomposed into finitely many pieces and reassembled to form two identical copies of the original ball, challenging our intuition about volume and measure.</p> Signup and view all the answers

Considering the limitations of representing 'real numbers' within a computer system (due to their uncountability and the finite nature of computer memory), what potential consequence arises when performing complex arithmetic operations on these computationally represented 'real numbers'?

<p>Accumulation of rounding errors can lead to significant deviations from the true mathematical result, particularly in iterative or chaotic systems. (A)</p> Signup and view all the answers

The Löwenheim-Skolem theorem implies that if Zermelo-Fraenkel set theory (ZFC) is consistent, it has a countable model; this definitively refutes Cantor's theorem, which establishes that the set of real numbers is uncountable, thereby demonstrating a fundamental contradiction in modern set theory.

<p>False (B)</p> Signup and view all the answers

A relation $R$ on a set $A$ is an equivalence relation if it is reflexive, symmetric, and ___________. An equivalence relation partitions the set $A$ into disjoint equivalence classes.

<p>transitive</p> Signup and view all the answers

Explain the concept of 'diagonalization' as used in Cantor's proof that the real numbers are uncountable. How does this technique demonstrate the existence of real numbers that cannot be included in any given enumeration of the real numbers?

<p>Diagonalization constructs a real number that differs from every number in a given enumeration in at least one decimal place (typically by altering the nth digit of the nth number in the enumeration). This demonstrates that no enumeration can include all real numbers, proving their uncountability.</p> Signup and view all the answers

Match set operations with their corresponding bitwise computer string calculations, assuming strings of equal length:

<p>Union (A ∪ B) = Bitwise OR Intersection (A ∩ B) = Bitwise AND Complement (A') = Bitwise NOT Symmetric Difference (A ⊕ B) = Bitwise XOR</p> Signup and view all the answers

Given the connection between 'set theory' and 'formal languages' (e.g., describing the syntax and semantics of programming languages), what potential issue arises when using set theory to model inherently ambiguous or context-dependent features of natural languages?

<p>The fixed, well-defined nature of sets may be inadequate for capturing the fluidity and vagueness inherent in natural language semantics. (B)</p> Signup and view all the answers

The 'Halting Problem,' which demonstrates the impossibility of creating a general algorithm to determine whether a given program will halt or run forever, has no direct implications for set theory because it is a problem specifically within computability theory, and set theory deals with abstract mathematical objects, not computational processes.

<p>False (B)</p> Signup and view all the answers

If $A$ and $B$ are sets, the set of all functions from B into A is denoted by $A^B$. The cardinality of $A^B$ is equal to $|A|^{|B|}$, where $|A|$ and $|B|$ denote the cardinalities of $A$ and $B$, respectively. If $A$ is the set of binary digits {0, 1}, then $A^B$ represents the set of all bit strings indexed by $B$. If B is the set of natural numbers N, then the the cardinality of $A^B$ is denoted by $2^{\aleph_0}$, which is equal to __________.

<p>$\mathfrak{c}$</p> Signup and view all the answers

Describe a scenario in which the 'axiom of choice' is crucial for proving the existence of a mathematical object, but provides no means for explicitly constructing or identifying that object.

<p>Consider proving that every vector space has a basis. The axiom of choice guarantees the existence of a maximal linearly independent set (a basis), but offers no algorithm for constructing such a basis, especially for infinite-dimensional vector spaces. The existence of such a basis relies on Zorn's Lemma or a similar axiom.</p> Signup and view all the answers

Match the following examples of sets with the correct set notation:

<p>Set of all real numbers between 0 and 1 = { x | x ∈ ℝ and 0 &lt; x &lt; 1 } Set of all positive integers less than 10 = { x | x ∈ ℤ+ and x &lt; 10 } Set with elements 'apple', 'banana', 'cherry' = { apple, banana, cherry } Set of all complex numbers = ℂ</p> Signup and view all the answers

Given that 'computer representation of sets' often relies on bit strings, what specific challenge arises when attempting to represent sets of elements that are inherently continuous (e.g., intervals of real numbers)?

<p>The finite nature of bit strings necessitates approximation, leading to potential inaccuracies and limitations in representing the true continuum. (A)</p> Signup and view all the answers

The fact that a computer can only manipulate a finite number of bits has no bearing on its ability to do set theory, because infinite sets can be described using finite descriptions within a programming language.

<p>False (B)</p> Signup and view all the answers

Let $A$ be a set. The power set of $A$, denoted $P(A)$ is the set of all _______ of $A$.

<p>subsets</p> Signup and view all the answers

Define what it means for a set to be 'well-ordered,' and provide a non-trivial example of a well-ordered set that is not simply a finite set of integers.

<p>A set is well-ordered if every non-empty subset has a least element. A non-trivial example is the set of natural numbers $\mathbb{N}$ under the usual 'less than or equal to' ordering.</p> Signup and view all the answers

Match the different set operations given A = {1, 2, 3, 4, 5} and B = {3, 5, 6, 7}

<p>A ∪ B = {1, 2, 3, 4, 5, 6, 7} A ∩ B = {3, 5} A - B = {1, 2, 4} B - A = {6, 7}</p> Signup and view all the answers

Flashcards

What is a set?

A well-defined, unordered collection of distinct objects, called elements or members.

What is set notation?

Listing elements between braces to describe a set.

What is set-builder notation?

A notation that describes the properties that elements of the set have in common.

What is an empty set?

Set with no elements.

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What is a singleton set?

A set with only one element.

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What is a subset?

If every element of A is also in B.

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What is a Power Set?

A set that contains all the subsets of S.

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What are n-tuples?

Ordered collections of elements.

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What is a cartesian product?

The set of all ordered pairs (a,b) where a ∈ A and b ∈ B.

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What is the union of sets?

Set of elements in A or B or both.

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What is the intersection of sets?

Set of elements common to both A and B.

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What are disjoint sets?

Sets with no elements in common.

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What is the difference of sets?

Set of elements in A but not in B.

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What is the complement of a set?

Set of all elements in the universal set that are not in A.

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What is the symmetric difference?

Elements in A or B, but not in both.

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What are the Identity Laws?

A ∪ Ø = A and A ∩ U = A

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What are the Domination Laws?

A ∪ U = U and A ∩ Ø = Ø

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What are the Idempotent Laws?

A ∪ A = A and A ∩ A = A

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What is the Complementation Law?

(A) = A

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What are the Commutative Laws?

A ∪ B = B ∪ A and A ∩ B = B ∩ A

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What are the Associative Laws?

(A ∪ B) ∪ C = A ∪ (B ∪ C) and (A ∩ B) ∩ C = A ∩ (B ∩ C)

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What are the Distributive Laws?

A ∪ (B ∩ C) = (A ∪ B) ∩ (A ∪ C) and A ∩ (B ∪ C) = (A ∩ B) ∪ (A ∩ C)

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What are De Morgan's Laws?

(A ∪ B) = Ā ∩ Ḃ and (A ∩ B) = Ā ∪ Ḃ

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What are the Absorption Laws?

A ∪ (A ∩ B) = A and A ∩ (A ∪ B) = A

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What are the Complement Laws?

A ∪ Ā = U and A ∩ Ā = Ø

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Bitwise Boolean OR

Find the union with bitwise Boolean OR.

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Bitwise Boolean AND

Find the intersection with bitwise Boolean AND.

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Study Notes

  • Discrete Mathematics is the topic
  • Maureen M. Villamor is the author

Topic Outline (Prelim)

  • Sets
  • Sequences and Summations
  • Functions
  • Binary Relations
  • n-ary Relations

Objectives

  • Describe sets using different notations
  • Represent sets using a Venn diagram
  • Derive the power set of a given set
  • Compute for the Cartesian products of sets
  • Perform operations on sets
  • Show equality of sets using set identities
  • Apply the addition principle to solve problems involving sets
  • Represent sets using a computer

Definition of a Set

  • A set is a well-defined, unordered collection of objects
  • These objects are called elements or members of the set
  • Example: the collection of all wooden chairs, the collection of real numbers between 0 and 1

Notation

  • One way to describe a set that has a finite number of elements is by listing the elements between braces
  • Example: the set of all positive integers less than four is A = {1, 2, 3}, the set of all vowels in the English alphabet is V = {a, e, i, o, u}
  • Or, when the general pattern of the elements is obvious, not all members of the set need to be described; instead, an ellipses (...) is used
  • Example: The set of positive integers less than 100 is P = {1, 2, 3, ..., 99}
  • A set builder notation is used to describe a large finite or infinite set by specifying a property that the elements of the set have in common
  • Example: B = { x | x is a positive integer less than 4 }, C = { x | x is a Computer Science student }

Useful Sets and Their Notations

  • N = { x | x is a positive integer or zero } or N = { x | x is a natural number }
  • Z = { x | x is an integer }
  • Z+ = { x | x is a positive integer }
  • Z- = { x | x is a negative integer }
  • Q = { x | x is a rational number }
  • R = { x | x is a real number }
  • C = { x | x is a complex number }
  • { } or Ø = empty set (set that has no elements)

Important Facts

  • Sets can have unrelated elements, for example the set S = { r, 17, Raphael, Davao City }
  • Repeated elements in a set can be ignored, for example A = { 1, 3, 2, 3, 1}
  • The order in which the elements are listed is not important
  • Example: A = { 1, 3, 2 } or A = { 3, 2, 1} or A = { 3, 1, 2 } or A = {2, 1, 3} are effectively the same
  • Sets may contain other sets as members
  • Example: A = { Ø, {a}, {b}, {a, b} }

Set Membership

  • Use the symbol ∈ to denote membership
  • For example, given A = { 1, 3, 5, 7}, 1 ∈ A and 3 ∈ A, but 2 ∉ A
  • B = {x | x ∈ R and x² = -1 }

Equality of Sets

  • Two sets A and B are equal if they have the same elements; that is if and only if for all x (x ∈ A if and only if x ∈ B). In this case, A = B
  • Example: if A = {1, 2, 3} and B = { x | x ∈ Z+ and x² < 12 }, then A = B

Graphical Representation of Sets

  • Sets are represented graphically using Venn diagrams
  • Rectangle: Universal Set U
  • Circles (or other geometric figures): sets

Singleton Set

  • A set that only has one element
  • A common mistake is to confuse the empty set Ø with the set { Ø }, which is a singleton set
  • Therefore: Ø ≠ { Ø }

Subset

  • Set A is a subset of set B, A ⊆ B, or A is contained in B if every element of A is also an element of B
  • If x ∈ A then x ∈ B
  • However, if A is not a subset of set B, then A ⊈ B
  • Example: the set of all odd positive integers less than 10 is a subset of all positive integers less than 100
  • If A is a subset of B, and A ≠ B, then A is the proper subset of B, A ⊂ B

Cardinality of Sets

  • A set A is called finite if it has n distinct elements, where n ∈ N
  • n is the cardinality of A, denoted by |A|
  • Example: A = { 1, 2, 3, 4, 5}, therefore |A| = 5
  • Example: S = {x | x is a letter in the English alphabet }. |S| = 26
  • | Ø | = 0

Power Set

  • If S is a set, then the set of all subsets of S is called the power set of S, denoted by P(S)
  • Example: if A = {1, 2, 3}, then P(A) = { Ø, { 1 }, { 2 }, { 3 }, { 1, 2 }, {1,3}, {2,3}, {1, 2, 3} }
  • Example: if S = { Ø }, then P(S) = { Ø, { Ø } }
  • If |A| = n, then | P(A)| = 2^n

Cartesian Products

  • Ordered n-tuples provide a structure to represent ordered collections
  • The ordered n-tuple (a1, a2, ..., an) is the ordered collection that has a1 as its first element, a2 as its second element, …, and an as its nth element
  • Given a collection of sets A1, A2,..., An, the Cartesian product is the set of n-tuples (a1, a2,..., an), such that a(i) belongs to A(i) for i = 1, 2,..., n.
  • The notation for this is A1 x A2 x ... x An = = { (a1, a2,..., an) | a(i) ∈ A(i), for i = 1,2,...,n }
  • Another key identity is A x B = set of all ordered pairs (a,b) where a ∈ A and b ∈ B = { (a, b) | a ∈ A and b ∈ B }

Set Operations

  • Union: the set consisting of all elements that belongs to A or B or both, denoted by A ∪ B
  • A ∪ B = { x | x ∈ A or x ∈ B }
  • Intersection: set of all elements that belong to both A and B, denoted by A ∩ B
  • A ∩ B = { x | x ∈ A and x ∈ B }
  • Complement: set of all elements that belong to A but not to B, denoted by A – B (difference of A and B).
  • A – B = { x | x ∈ A and x ∉ B }
  • The complement of A, is A = { x | x ∉ A } where U is the universal set containing A
  • Symmetric Difference: set of all elements that belong to A or to B, but not to both A and B, denoted by A ⊕ B
    • A ⊕ B = { x | (x∈A and x∉B) or (x∈B and x∉A) }

Set Identities

  • Identity Laws: A ∪ Ø = A, A ∩ U = A
  • Domination Laws: A ∪ U = U, A ∩ Ø = Ø
  • Idempotent Laws: A ∪ A = A, A ∩ A = A
  • Complementation Law: (A) = A
  • Commutative Laws: A ∪ B = B ∪ A, A ∩ B = B ∩ A
  • Associative Laws: (A ∪ B) ∪ C = A ∪ (B ∪ C), (A ∩ B) ∩ C = A ∩ (B ∩ C)
  • Distributive Laws: A ∪ (B ∩ C) = (A ∪ B) ∩ (A ∪ C), A ∩ (B ∪ C) = (A ∩ B) ∪ (A ∩ C)
  • De Morgan's Laws: (A ∪ B) = A ∩ B, (A ∩ B) = A ∪ B
  • Absorption Laws: A ∪ (A ∩ B) = A, A ∩ (A ∪ B) = A
  • Complement Laws: A ∪ A = U, A ∩ A = Ø, Ū = Ø, Ø = U

Membership Tables

  • Set identities can also be proved using membership tables
  • 1: element is in a set
  • 0: element is not in a set

Counting Principle of Finite Sets

  • If A and B are disjoint sets, then A ∪ B is finite and |A ∪ B| = |A| + |B|
  • If A and B are finite sets, then A ∪ B and A ∩ B are finite and |A ∪ B| = |A| + |B| - |A ∩ B|
  • If A, B and C are finite sets, then so is A ∪ B ∪ C, and |A ∪ B ∪ C| = |A| + |B| + |C| - |A ∩ B| - |A ∩ C| - |B ∩ C| + |A ∩ B ∩ C|

Computer Representation of Sets

  • One way to represent sets in a computer is using bit strings
  • First, specify an arbitrary ordering of the elements of U- U is finite
  • Finding complements of sets, unions, intersections, and differences of sets is easy using bit strings
  • To get the union and intersection of two sets, perform bitwise Boolean OR and AND, respectively

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