∞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.
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, the smallest infinite ordinal)
Successor ordinals are ordinal numbers that have an immediate predecessor (e.g., ω+1, the successor of ω)
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 and represents the order type of the natural numbers
Ordinal numbers are transitive sets, meaning that if α is an ordinal, then α={β:β<α}
The class of all ordinal numbers is denoted by ON and is a proper class, not a set
Ordinal numbers are linearly ordered by the membership relation ∈, which coincides with the subset relation ⊂ for ordinals
The Burali-Forti paradox demonstrates that 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 form a well-ordered set under the usual order relation ≤
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 P holds for the least element of a well-ordered set and, whenever P holds for all elements less than some element α, it also holds for α, then P 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)
The successor case proves that if the property holds for an ordinal α, it also holds for its successor α+1
The limit case proves that if the property holds for all ordinals less than a limit ordinal λ, it also holds for λ
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
α+(β+1)=(α+β)+1
α+λ=sup{α+ξ:ξ<λ} for limit ordinals λ
Ordinal multiplication is defined by transfinite recursion:
α⋅0=0
α⋅(β+1)=(α⋅β)+α
α⋅λ=sup{α⋅ξ:ξ<λ} for limit ordinals λ
Ordinal exponentiation is defined by transfinite recursion:
α0=1
αβ+1=αβ⋅α
αλ=sup{αξ:ξ<λ} for limit ordinals λ
Ordinal arithmetic is left-distributive but not right-distributive, meaning α⋅(β+γ)=α⋅β+α⋅γ, but (α+β)⋅γ=α⋅γ+β⋅γ in general
Ordinal arithmetic is associative but not commutative, so α+(β+γ)=(α+β)+γ, but α+β=β+α 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 is ω, the smallest infinite ordinal
The order type of the integers Z is ω+ω∗, where ω∗ represents the reverse order of ω
The order type of the rational numbers Q is η, 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 is a successor or limit ordinal, then α+1 is a successor ordinal
Limit case: If λ is a limit ordinal and all ξ<λ are successor or limit ordinals, then λ is a limit ordinal by definition
To compare ordinal numbers, look for an isomorphism between their corresponding well-ordered sets
Example: Show that ω+1=1+ω
ω+1 has a greatest element, while 1+ω does not, so they cannot be isomorphic
To perform ordinal arithmetic, use the recursive definitions of addition, multiplication, and exponentiation
Example: Calculate ω⋅2+1
ω⋅2=ω+ω (by the definition of ordinal multiplication)
ω+ω+1=ω⋅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 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