Intro to the Theory of Sets

Intro to the Theory of Sets Unit 9 – Ordinal Numbers & Transfinite Induction

Ordinal numbers extend natural numbers to include infinite sets while preserving order. They're crucial for understanding well-ordered sets and enable transfinite induction, a powerful proof technique for infinite sets. Ordinal arithmetic defines operations on these numbers, while order types describe well-ordered set structures. Limit and successor ordinals, along with isomorphisms, help us compare and analyze infinite sets in set theory.

Key Concepts and Definitions

  • Ordinal numbers extend the concept of natural numbers to include infinite sets while preserving the notion of order
  • Well-ordered sets are totally ordered sets where every non-empty subset has a least element
  • Transfinite induction is a proof technique that extends mathematical induction to well-ordered sets, including infinite sets
  • Ordinal arithmetic defines operations (addition, multiplication, and exponentiation) on ordinal numbers
  • Order types describe the structure of well-ordered sets up to isomorphism
  • Isomorphisms are bijective functions between well-ordered sets that preserve the order relation
  • Limit ordinals are ordinal numbers that are not succeeded by any smaller ordinal (e.g., ω\omega, the smallest infinite ordinal)
  • Successor ordinals are ordinal numbers that have an immediate predecessor (e.g., ω+1\omega+1, the successor of ω\omega)

Ordinal Numbers: Basics and Properties

  • Ordinal numbers are a generalization of natural numbers that include both finite and infinite numbers
  • Every ordinal number corresponds to a well-ordered set, and every well-ordered set corresponds to a unique ordinal number
  • The smallest infinite ordinal is denoted by ω\omega and represents the order type of the natural numbers
  • Ordinal numbers are transitive sets, meaning that if α\alpha is an ordinal, then α={β:β<α}\alpha = \{\beta : \beta < \alpha\}
  • The class of all ordinal numbers is denoted by ON\mathbf{ON} and is a proper class, not a set
  • Ordinal numbers are linearly ordered by the membership relation \in, which coincides with the subset relation \subset for ordinals
  • The Burali-Forti paradox demonstrates that ON\mathbf{ON} cannot be a set to avoid contradictions in set theory
  • The Axiom of Regularity ensures that there are no infinite descending chains of ordinal numbers, preventing circular membership

Well-Ordered Sets and Their Significance

  • A well-ordered set is a totally ordered set in which every non-empty subset has a least element
  • Well-ordered sets are crucial for defining ordinal numbers and enabling transfinite induction
  • The natural numbers N\mathbb{N} form a well-ordered set under the usual order relation \leq
  • Every well-ordered set is order-isomorphic to a unique ordinal number
  • The Axiom of Choice is equivalent to the Well-Ordering Theorem, which states that every set can be well-ordered
    • This equivalence highlights the importance of well-ordered sets in set theory and the foundations of mathematics
  • Well-ordered sets satisfy the least upper bound property, ensuring that every bounded subset has a supremum
  • The order topology on a well-ordered set is discrete, as every point is an isolated point

Transfinite Induction: Principles and Applications

  • Transfinite induction is a proof technique that extends the principle of mathematical induction to well-ordered sets, including infinite sets
  • The principle of transfinite induction states that if a property PP holds for the least element of a well-ordered set and, whenever PP holds for all elements less than some element α\alpha, it also holds for α\alpha, then PP holds for all elements of the set
  • Transfinite induction can be used to prove statements about ordinal numbers and well-ordered sets
  • The base case of transfinite induction proves the property for the least element of the well-ordered set (often 0 or ω\omega)
  • The successor case proves that if the property holds for an ordinal α\alpha, it also holds for its successor α+1\alpha+1
  • The limit case proves that if the property holds for all ordinals less than a limit ordinal λ\lambda, it also holds for λ\lambda
  • Transfinite induction has applications in various areas of mathematics, such as topology, algebra, and analysis

Ordinal Arithmetic and Operations

  • Ordinal arithmetic extends the arithmetic operations of addition, multiplication, and exponentiation to ordinal numbers
  • Ordinal addition is defined by transfinite recursion:
    • α+0=α\alpha + 0 = \alpha
    • α+(β+1)=(α+β)+1\alpha + (\beta + 1) = (\alpha + \beta) + 1
    • α+λ=sup{α+ξ:ξ<λ}\alpha + \lambda = \sup\{\alpha + \xi : \xi < \lambda\} for limit ordinals λ\lambda
  • Ordinal multiplication is defined by transfinite recursion:
    • α0=0\alpha \cdot 0 = 0
    • α(β+1)=(αβ)+α\alpha \cdot (\beta + 1) = (\alpha \cdot \beta) + \alpha
    • αλ=sup{αξ:ξ<λ}\alpha \cdot \lambda = \sup\{\alpha \cdot \xi : \xi < \lambda\} for limit ordinals λ\lambda
  • Ordinal exponentiation is defined by transfinite recursion:
    • α0=1\alpha^0 = 1
    • αβ+1=αβα\alpha^{\beta+1} = \alpha^\beta \cdot \alpha
    • αλ=sup{αξ:ξ<λ}\alpha^\lambda = \sup\{\alpha^\xi : \xi < \lambda\} for limit ordinals λ\lambda
  • Ordinal arithmetic is left-distributive but not right-distributive, meaning α(β+γ)=αβ+αγ\alpha \cdot (\beta + \gamma) = \alpha \cdot \beta + \alpha \cdot \gamma, but (α+β)γαγ+βγ(\alpha + \beta) \cdot \gamma \neq \alpha \cdot \gamma + \beta \cdot \gamma in general
  • Ordinal arithmetic is associative but not commutative, so α+(β+γ)=(α+β)+γ\alpha + (\beta + \gamma) = (\alpha + \beta) + \gamma, but α+ββ+α\alpha + \beta \neq \beta + \alpha in general

Comparing Ordinals: Order Types and Isomorphisms

  • Order types describe the structure of well-ordered sets up to isomorphism
  • Two well-ordered sets have the same order type if and only if there exists an order-preserving bijection (isomorphism) between them
  • Ordinal numbers represent the order types of well-ordered sets
  • The order type of the natural numbers N\mathbb{N} is ω\omega, the smallest infinite ordinal
  • The order type of the integers Z\mathbb{Z} is ω+ω\omega + \omega^*, where ω\omega^* represents the reverse order of ω\omega
  • The order type of the rational numbers Q\mathbb{Q} is η\eta, the order type of the rationals in their usual order
  • Isomorphisms between well-ordered sets are unique, as they preserve the least element and the successor relation
  • The comparison of ordinal numbers is determined by the existence of an isomorphism between their corresponding well-ordered sets

Examples and Problem-Solving Strategies

  • To prove a statement for all ordinal numbers, use transfinite induction by proving the base case, successor case, and limit case
  • Example: Prove that every ordinal number is either a successor ordinal or a limit ordinal
    • Base case: 0 is a limit ordinal by definition
    • Successor case: If α\alpha is a successor or limit ordinal, then α+1\alpha+1 is a successor ordinal
    • Limit case: If λ\lambda is a limit ordinal and all ξ<λ\xi < \lambda are successor or limit ordinals, then λ\lambda is a limit ordinal by definition
  • To compare ordinal numbers, look for an isomorphism between their corresponding well-ordered sets
  • Example: Show that ω+11+ω\omega + 1 \neq 1 + \omega
    • ω+1\omega + 1 has a greatest element, while 1+ω1 + \omega does not, so they cannot be isomorphic
  • To perform ordinal arithmetic, use the recursive definitions of addition, multiplication, and exponentiation
  • Example: Calculate ω2+1\omega \cdot 2 + 1
    • ω2=ω+ω\omega \cdot 2 = \omega + \omega (by the definition of ordinal multiplication)
    • ω+ω+1=ω2+1\omega + \omega + 1 = \omega \cdot 2 + 1 (by the definition of ordinal addition)

Real-World Applications and Connections

  • Ordinal numbers and well-ordered sets have applications in computer science, particularly in the theory of computation and algorithm analysis
  • The ordinal ω\omega represents the order type of the natural numbers, which is used to define the concept of computability and the halting problem
  • Ordinal numbers are used to measure the complexity of algorithms and the growth rates of functions in computational complexity theory
  • In topology, ordinal numbers are used to define the transfinite induction principle for constructing topological spaces and studying their properties
  • The long line is a topological space constructed using ordinal numbers, serving as a counterexample to various topological properties
  • In algebra, ordinal numbers are used to define transfinite versions of algebraic structures, such as transfinite groups and transfinite fields
  • Ordinal numbers have connections to the foundations of mathematics, particularly in the study of set theory and logic
  • The theory of ordinal numbers is closely related to the axiomatization of set theory, such as the Zermelo-Fraenkel axioms (ZF) and the axiom of choice (AC)
  • Ordinal numbers play a crucial role in the study of large cardinals and the consistency strength of various axioms in set theory


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© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.