Fact-checked by Grok 2 weeks ago

Order type

In , the order type of a totally ordered set (or linear ) is the of all such sets that are order-isomorphic to it, providing a complete isomorphism-invariant of the set's linear ordering structure. This concept generalizes the notion of ordinal numbers, which specifically denote the order types of well-ordered sets, where every nonempty subset has a least element. Key examples illustrate the diversity of order types: the order type of the natural numbers under the standard ordering is denoted ω, the smallest infinite ordinal, while the order type of the rational numbers is η, a countable dense linear order without endpoints, meaning that between any two distinct elements there exists another. For finite sets, the order type coincides with the cardinal number, such as n for a of n elements. Order types can be combined via operations like ordinal , , and for well-orders, or more generally through order sums and products for arbitrary linear orders. Beyond well-orders, order types encompass dense orders like the reals (λ), which are complete and Dedekind-complete, and scattered orders, which contain no dense suborders and can be decomposed into well-ordered components. The study of order types is foundational in , , and , enabling the analysis of embeddability (where one order type embeds into another if a realization of the first can be order-embedded into the second) and universality, such as being universal for all countable linear orders. Under the generalized , the number of distinct order types of cardinality ℵ_α is exactly ℵ_{α+1}.

Basic Concepts

Definition

A linearly ordered set, also known as a totally ordered set, is a set equipped with a that is reflexive, antisymmetric, transitive, and total, meaning that for any two distinct elements, one precedes the other. This structure ensures a complete linear arrangement of the elements without ties or incomparabilities. The order type of a linearly ordered set is defined as the of all linearly ordered sets that are order-isomorphic to it, where two sets are order-isomorphic if there exists a bijective between them that preserves the order relation. In other words, an order type captures the intrinsic ordering structure up to relabeling of elements, serving as an abstract invariant that classifies linearly ordered sets based on their relational properties rather than their specific elements. This concept enables the comparison and enumeration of orderings beyond mere size, distinguishing, for instance, different arrangements. Order types function as a fundamental tool for categorizing and studying ordered structures in and , facilitating the analysis of properties like , discreteness, or well-foundedness in a uniform manner. They were introduced by in the late , particularly in his 1895 paper on transfinite numbers, to extend the investigation of infinite orderings beyond alone.

Isomorphism

An order isomorphism between two linearly ordered sets (A, <) and (B, <) is a bijection f: A \to B such that for all a, b \in A, a < b if and only if f(a) < f(b) . This relation preserves the order structure completely, ensuring that the sets are indistinguishable in terms of their ordering properties. The relation of is reflexive, as the identity function on any set is an order isomorphism to itself; symmetric, since the inverse of an order isomorphism is also an order isomorphism; and transitive, as the composition of two order isomorphisms is again an order isomorphism . Consequently, order isomorphism partitions the class of all linearly ordered sets into equivalence classes, each corresponding to a unique order type. Order isomorphisms differ from order embeddings, which are injective functions f: A \to B satisfying a < b if and only if f(a) < f(b), but need not be surjective . Thus, while every order isomorphism is an order embedding, the converse holds only when the embedding is bijective. For example, the linearly ordered set of and the set of both have cardinality \aleph_0 but are not order isomorphic, since the natural numbers possess a least element while the integers do not.

Notation

Symbolic Representation

In order theory, order types are symbolically represented using a combination of Greek letters for archetypal examples and arithmetic operations for constructed types. The order type of the natural numbers under the standard ordering is denoted by \omega, introduced by Georg Cantor as the first infinite ordinal symbolizing the completed sequence of finite numbers. Similarly, the order type of the negative integers (ordered increasingly) is denoted by ^*\omega or \omega^*, representing the reverse of \omega. The order type of the integers, which combines a copy of the negative integers followed by the non-negative integers, is denoted by \zeta = \omega^* + \omega. The order type of the rational numbers, characterized as the unique countable dense linear order without endpoints, is denoted by \eta. For finite totally ordered sets, the convention is to denote the order type simply by the positive integer n, where n indicates the number of elements in the chain. For well-ordered sets, order types coincide with ordinal numbers and are typically denoted by symbols such as \alpha or \beta, which can be expressed using transfinite arithmetic operations like addition, multiplication, and exponentiation. These notations draw from Cantor's foundational work on transfinite numbers. Symbolic representations of order types are generally non-unique, as the same type can be expressed through different combinations of sums, products, and other operations on basic types; however, canonical forms exist for specific classes, such as the Cantor normal form for ordinals, which uniquely decomposes them into increasing sums of powers of \omega.

Cantor's Back-and-Forth Method

Cantor's back-and-forth method is a constructive technique used to establish order isomorphisms between certain linear orders, particularly by building a bijection that preserves the order relation through iterative extensions. Developed by in the late 19th century as part of his foundational work on transfinite numbers and order types, the method was employed to demonstrate that all countable dense linear orders without endpoints are isomorphic to the order type of the rational numbers \mathbb{Q}. The method applies primarily to countable dense linear orders without endpoints, where between any two elements there exists another, and there are no minimal or maximal elements. In such structures, denoted as (A, \leq_A) and (B, \leq_B), both sets are countably infinite, and the density ensures that partial isomorphisms can always be extended. This makes the technique ideal for proving uniqueness up to isomorphism in this class, as seen in Cantor's theorem that any such order is order-isomorphic to (\mathbb{Q}, <). To apply the method, enumerate the elements of A as \{a_n \mid n \in \omega\} and B as \{b_n \mid n \in \omega\}. Construct a sequence of finite partial isomorphisms f_n: A \to B (strictly increasing injections) such that f_0 = \emptyset, each f_{n+1} extends f_n, every a_k is in the domain of some f_n, and every b_k is in the range of some f_m. The union f = \bigcup f_n then yields a full order isomorphism. The construction alternates "forth" steps, which extend the partial map to include the next unused element from A by finding a suitable image in B using density (e.g., placing it between existing images if needed, or beyond the current range since there are no endpoints), and "back" steps, which include the next unused element from B into the domain by inverting the process and ensuring order preservation. For instance, at a forth step for a_n, if a_n lies between two domain elements a_i < a_n < a_j with f_n(a_i) = b_p and f_n(a_j) = b_q, density in B guarantees an unused b_r with b_p < b_r < b_q to map to. Similar reasoning applies to back steps and endpoint-free cases. While powerful for countable cases, the back-and-forth method does not extend to uncountable dense orders, such as the reals \mathbb{R}, where no such universal isomorphism exists, nor to non-dense orders lacking the intermediate element property. It also requires the absence of endpoints; orders with minima or maxima, even if countable and dense in between, are not covered by this direct application.

Examples

Finite Orders

Finite order types are the order types of finite linearly ordered sets, representing the simplest cases in the classification of linear orders. For any natural number n, all linearly ordered sets with exactly n elements are order-isomorphic to each other, and this unique order type is denoted by n. This isomorphism holds because any two finite chains of the same length can be mapped bijectively while preserving the order relation. These order types exhibit key structural properties that distinguish them from infinite ones. Finite linear orders are discrete, meaning that for every element except the maximum, there is an immediate successor, and for every element except the minimum, there is an immediate predecessor. Every nonempty finite linear order has both a first element (the minimum) and a last element (the maximum). Additionally, they contain no infinite descending chains, as the finiteness of the set precludes any infinite sequence. A representative example is the order type $3, which corresponds to any three-element set ordered as a < b < c, where a is the minimum, c is the maximum, and b is the immediate successor of a and predecessor of c. Finite order types are in direct correspondence with finite cardinal numbers, sharing the same notation n to denote both the cardinality of the set and its order type under any linear ordering.

Orders on Integers and Naturals

The natural numbers \mathbb{N}, equipped with the standard less-than-or-equal-to ordering, possess the order type \omega, which is the smallest infinite ordinal. This order type is well-ordered, meaning every nonempty subset has a least element, and consequently, there are no infinite descending chains in \mathbb{N}. As a discrete order, every element in \omega has an immediate successor, with 0 serving as the least element but no greatest element present. Furthermore, \omega is countable, admitting a bijection with itself via the identity mapping. The negative integers \mathbb{Z}^- = \{\dots, -2, -1\}, under the standard ordering, have the order type {}^*\omega, which is the reverse (or dual) of \omega. This structure is discrete, with every element having an immediate predecessor but no least element, instead featuring a greatest element at -1. Like \omega, {}^*\omega is countable, though it is not well-ordered due to the existence of infinite descending chains, such as \dots < -3 < -2 < -1. The notation {}^*\omega emphasizes its isomorphism to \omega under order reversal. The integers \mathbb{Z}, ordered standardly, exhibit the order type \zeta, expressible as \dots + {}^*\omega + \omega, forming a doubly infinite discrete chain without endpoints. This order is countable, bijective with \mathbb{N}, and discrete in the sense that every element has both an immediate successor and predecessor. Unlike \omega, \zeta is not well-ordered, permitting infinite descending chains like \dots < -2 < -1 < 0, and it lacks both least and greatest elements. Finite orders serve as building blocks for these structures through iterative summation in one or both directions.

Dense Orders: Rationals

A dense linear order is a linear order (L, <) in which, for any two distinct elements a, b \in L with a < b, there exists c \in L such that a < c < b. The rational numbers \mathbb{Q} under the standard ordering < provide the archetypal example of a countable dense linear order without endpoints, as between any two rationals there is always another rational. The order type of (\mathbb{Q}, <), commonly denoted \eta, captures this structure and serves as the canonical representative for such orders. Cantor's theorem establishes the uniqueness of \eta up to isomorphism: any countable dense linear order without endpoints is order-isomorphic to (\mathbb{Q}, <). The proof employs Cantor's back-and-forth method, which constructs the isomorphism by iteratively extending partial isomorphisms between finite subsets while preserving the density and lack of endpoints. The order type \eta exhibits key structural properties that underscore its centrality in the theory of linear orders. It is universal for countable linear orders, meaning every countable linear order embeds order-preservingly into (\mathbb{Q}, <). Additionally, \eta is homogeneous: any order-isomorphism between finite suborders of (\mathbb{Q}, <) extends to an automorphism of the entire structure.

Orders on Reals

The order type of the real numbers \mathbb{R} under the standard ordering \leq is a dense linear order without endpoints, meaning that between any two distinct elements a < b, there exists another element c such that a < c < b, and for every element, there are elements both less than and greater than it. This order is also complete, or Dedekind-complete, in the sense that every nonempty subset of \mathbb{R} that is bounded above has a least upper bound (supremum) in \mathbb{R}, and similarly for infima of bounded-below subsets. Unlike countable dense orders, the cardinality of \mathbb{R} is uncountable, specifically $2^{\aleph_0}, which distinguishes it from structures like the rationals. This order type is commonly denoted by \lambda, representing the Dedekind completion of the countable dense order type \eta of the rationals \mathbb{Q}. It is distinct from \eta not only due to its uncountability but also because of its completeness, as \mathbb{Q} lacks suprema for many bounded subsets (e.g., the set of rationals less than \sqrt{2}). A fundamental uniqueness result, analogous to Cantor's theorem for countable dense orders, states that any two dense, complete linear orders without endpoints that are separable (i.e., contain a countable dense subset) are order-isomorphic; thus, \lambda is the unique such order type up to isomorphism. Key properties of \lambda include separability, as \mathbb{Q} forms a countable dense subset of \mathbb{R}, ensuring that the order is "approximable" by countably many points. In the order topology—where basic open sets are intervals—the space is connected, meaning it cannot be partitioned into two nonempty disjoint open sets, which aligns with its completeness and density. Furthermore, \lambda serves as the universal model for separable complete linear orders without endpoints, in that any such order is isomorphic to an interval within \mathbb{R}, highlighting its foundational role in order theory.

Well-Orders

Definition of Well-Ordering

A well-ordering on a set A is a \leq such that every nonempty of A has a least with respect to \leq. This property ensures that descending progressions cannot continue indefinitely. This least element condition is equivalent to the absence of strictly descending chains in the order. That is, there do not exist elements a_1, a_2, a_3, \dots \in A such that a_1 > a_2 > a_3 > \dots. To see the equivalence, suppose there is an infinite descending chain; then the set \{a_1, a_2, a_3, \dots\} would be a nonempty without a least , contradicting the well-ordering property. Conversely, if a nonempty S \subseteq A lacks a least , then by repeatedly selecting elements smaller than previous ones (possible in a ), one can construct an infinite descending chain within S. Well-orderings form a subclass of total orders, which are linear orders where any two distinct are comparable. The distinguishing feature of well-orderings is the minimal element property for , which total orders lack in general—for instance, the integers under the standard order are totally ordered but not well-ordered, as the negative integers form a without a least . This additional structure makes well-orderings particularly useful in inductive arguments and foundational mathematics. In , the asserts that every nonempty set admits a well-ordering, though the proof is non-constructive and relies on the . proved this theorem in by showing that the implies the existence of such an ordering for any set, without providing an explicit construction. The theorem's validity thus depends on accepting the , and it plays a central role in establishing and ordinal comparisons.

Order Types of Well-Orders

In the theory of ordered sets, the order types of well-ordered sets are precisely the ordinal numbers, providing a canonical classification for all such structures. Every well-ordered set admits a unique order type, denoted by an ordinal α, which captures the "shape" of the ordering up to isomorphism. This uniqueness arises from the fact that any two well-ordered sets are isomorphic if and only if they have the same ordinal order type, ensuring that ordinals serve as complete invariants for well-orderings. Ordinals can be formally realized as transitive sets that are well-ordered by the membership relation ∈, though the primary focus here is on their role as abstract order types rather than specific set-theoretic constructions. The finite ordinals correspond exactly to the order types of finite well-ordered sets, coinciding with the natural numbers under the standard ordering; for instance, the ordinal 0 is the type of the , 1 of a , and n inductively built as the successor of n-1. Transfinite ordinals extend this beyond the finite, encompassing both successor ordinals, which are of the form β + 1 for some ordinal β, and limit ordinals, which are not successors and represent suprema of increasing sequences of smaller ordinals, such as the first ordinal ω. This framework, originating with Cantor's foundational work on transfinite numbers, establishes that the collection of all ordinal order types forms a proper class, mirroring the hierarchy of all possible well-orderings. The distinction between successor and ordinals highlights the structural richness of transfinite well-orders, where successors add a maximal to a previous type, while capture without a largest predecessor.

Examples of Ordinal Order Types

The order type \omega represents the simplest infinite well-ordering, corresponding to the natural numbers \mathbb{N} = \{0, 1, 2, \dots\} ordered by the standard less-than , where every nonempty has a least , and there is no largest . This ordinal is the smallest infinite ordinal, serving as the foundation for constructing larger ordinals through successor and operations. The ordinal \omega + 1 extends \omega by adjoining a single element greater than all natural numbers, resulting in a well-ordering isomorphic to \{0, 1, 2, \dots\} \cup \{\infty\} with the usual order on \mathbb{N} and \infty > n for all n \in \mathbb{N}. This introduces a largest element absent in \omega, illustrating how successor ordinals modify the structure by adding a new maximum. The order type \omega \cdot 2 consists of two disjoint copies of \omega placed in sequence, equivalent to the ordering on \mathbb{N} \times \{0, 1\} where (n, 0) < (m, 0) if n < m, (n, 1) < (m, 1) if n < m, and all elements with second coordinate 0 precede those with 1. This construction demonstrates ordinal multiplication, yielding a countable with two limit points at the "ends" of each \omega segment. Higher ordinals like \omega^2 arise as the supremum of \omega \cdot n for all finite n \in \mathbb{N}. Specifically, \omega^2 is the order type of \mathbb{N} \times \mathbb{N} under the antilexicographic order (m, n) < (m', n') if n < n' or n = n' and m < m', capturing a countable infinity of copies of \omega. The first uncountable ordinal \omega_1 is the smallest ordinal not bijectable with \mathbb{N}, representing the order type of the set of all countable ordinals under the membership relation, with every proper initial segment countable. This ordinal marks the transition to uncountable well-orderings, where the continuum hypothesis concerns its cardinality relative to the real numbers.

Properties and Operations

Embeddings and Extensions

An order embedding of one linearly ordered set (A, \leq_A) into another (B, \leq_B) is an f: A \to B such that for all x, y \in A, x \leq_A y f(x) \leq_B f(y). This condition ensures that the order structure is preserved and reflected, distinguishing it from a mere order-preserving map, which need not reflect the order. An order extension occurs when such an maps into a strictly larger set, with the image forming a proper suborder isomorphic to the original. isomorphisms, which are bijective order embeddings, represent a special case where the structures are equivalent up to relabeling. A canonical example is the embedding of the rational numbers \mathbb{Q} with their into the real numbers \mathbb{R}, via the , which preserves the dense linear while expanding the . Finite linear orders also embed readily into the integers \mathbb{Z}; for instance, a three-element chain a < b < c maps to $0 < 1 < 2 in \mathbb{Z}, allowing indefinite extension in both directions. Under the , implies the existence of maximal order extensions for any linear order type. Form the partially ordered set consisting of all linear orders into which the original embeds, ordered by the existence of an order embedding between them. Every chain in this poset admits an upper bound via the construction, yielding a linear order that extends all in the chain. Thus, a maximal element exists: a linear order containing the original as a suborder, with no proper superorder into which it embeds.

Sums and Products of Order Types

In , the sum of two order types \alpha and \beta, denoted \alpha + \beta, is defined as the order type of the of ordered sets representing \alpha and \beta, where every element of the set for \alpha precedes every element of the set for \beta. This operation corresponds to concatenating the two orders, preserving their internal structures while placing one entirely after the other. The sum is associative, meaning (\alpha + \beta) + \gamma = \alpha + (\beta + \gamma) for any order types \alpha, \beta, \gamma, but it is not commutative in general. For example, consider \omega, the order type of the natural numbers under the usual ordering. Then \omega + 1 is the order type of the naturals followed by an additional element, which has a maximum but no immediate predecessor for that maximum. In contrast, $1 + \omega places a single element before the naturals, resulting in an order with a minimum but no largest element, and these are not order-isomorphic since one has a greatest element while the other does not. This illustrates the non-commutativity of the sum: \omega + 1 \neq 1 + \omega. The product of order types \alpha \cdot \beta is defined as the order type of the Cartesian product of sets representing \beta and \alpha, equipped with the lexicographic order where the coordinate from \beta (the second factor) varies most significantly: (b, a) < (b', a') if b <_{\beta} b' or if b = b' and a <_{\alpha} a'. This construction yields \beta many copies of \alpha, ordered successively. Like the sum, the product is associative but generally non-commutative. For instance, with \omega, we have \omega \cdot 2 = \omega + \omega, consisting of two successive copies of the naturals, while $2 \cdot \omega is order-isomorphic to \omega itself, as it can be represented by pairs (n, i) for n \in \mathbb{N}, i \in \{0,1\} under the lexicographic order, which absorbs the finite factor on the left. A notable absorption property appears in dense orders, such as \eta, the order type of the rational numbers under the standard ordering. Here, \eta + \eta \cong \eta, since two dense countable linear orders without endpoints can be concatenated and still yield a single dense countable linear order without endpoints, as the rationals admit a dense interleaving. Similarly, \eta \cdot 2 = \eta + \eta \cong \eta, and more generally \eta \cdot \eta \cong \eta, reflecting the self-similar structure of the rationals under these operations. These properties highlight how sums and products can preserve or simplify certain order types, particularly in infinite cases.

Dense and Scattered Orders

In , a linear order is classified as dense if, for any two distinct elements a < b, there exists an element c such that a < c < b. This property ensures no two elements are adjacent, generalizing the structure observed in the rational numbers but applying to any such order type. Dense orders lack immediate successors or predecessors between elements, allowing for infinite subdivision in every interval. Examples include the order type of the real numbers \mathbb{R}, where the density axiom holds universally. In contrast, a scattered order is a linear order that does not contain a suborder isomorphic to the order type \eta of the rational numbers \mathbb{Q}. This absence of a dense rational substructure distinguishes scattered orders, which encompass all well-orders—such as ordinal types—and discrete orders like the integers \mathbb{Z}, where elements have immediate successors and predecessors. Scattered orders form a broad class closed under certain constructions, excluding any embedding of the dense, countable \eta. Hausdorff's theorem provides a foundational by characterizing scattered orders as the smallest class containing well-orders and their reverses, closed under lexicographic sums indexed by elements of this class. A key consequence is a decomposition: every countable linear is isomorphic to a lexicographic sum of scattered orders indexed by a dense linear (or a if the original is scattered). This highlights how arbitrary orders blend scattered and dense components, with the dense index set capturing the "non-scattered" aspect. For instance, while the reals represent a pure dense type, ordinals exemplify pure scattered types, illustrating the theorem's partitioning.

References

  1. [1]
    [PDF] Chapter 8 Ordered Sets
    In this chapter, we will look at certain kinds of ordered sets. If a set is ordered in a reasonable way,. \ then there is a natural way to define an “order ...
  2. [2]
    [PDF] Universal Totally Ordered Sets
    May 11, 2018 · With this in mind, we will organize POsets into order types such that every set within a given order type is order-isomorphic to every other set ...
  3. [3]
    [PDF] Transfinite Induction - Penn Math
    An ordered set (S, ≤) is a set together with a total order on it. An order type is an equivalence class of ordered sets under ordered bijections. An ...<|control11|><|separator|>
  4. [4]
    Order Type -- from Wolfram MathWorld
    An order type is associated with every totally ordered set, and two sets have the same order type if they are order isomorphic. It works on partially ordered ...Missing: linearly | Show results with:linearly
  5. [5]
    A history of set theory - MacTutor - University of St Andrews
    In 1885 Cantor continued to extend his theory of cardinal numbers and of order types. He extended his theory of order types so that now his previously defined ...
  6. [6]
    [PDF] SET THEORY FROM CANTOR TO COHEN
    Cantor went on to present his theory of order types, abstractions of linear orderings. He defined an arithmetic of order types and characterized the order type ...
  7. [7]
    [PDF] Lecture 9 - Math 225A – Model Theory
    Theorem 3 (Cantor's Back-and-Forth Theorem). If (A,≤) and (B,≤) are nonempty countable dense linear orders without endpoints then they are isomorphic. Notation ...
  8. [8]
    [PDF] 1 The order structure of the real numbers - People
    Any two dense countable linear orders without endpoints are isomorphic. Proof. The trick used is known as a “back-and-forth argument”. Suppose that. hP, ≤P i ...Missing: method | Show results with:method
  9. [9]
    [PDF] Computable Linear Orders and Turing Reductions
    Note that every finite linear order is discrete. An interval (a,b) ⊂ L is discrete if the ordering given by ≤l restricted to (a,b) is discrete. A linear order ...
  10. [10]
    [PDF] Algebraic structures arising from the finite condensation on linear ...
    (where ω∗ is the reverse ordering of ω, and ζ is the order type of Z). We ... ζ denotes the order type of the integers Z. Definition 3.1. The classes ...
  11. [11]
    None
    Below is a merged summary of the sections on **Order Types, Dense Orders, Rationals, η, Uniqueness, and Embeddings into Rationals** from Enderton’s *Elements of Set Theory* (1977), based on the provided summaries. To retain all information in a dense and organized manner, I will use a combination of narrative text and a table in CSV format for detailed references and properties. The narrative provides an overview, while the table captures specific details, page references, and examples across the chapters.
  12. [12]
    [PDF] bas.1 Dense Linear Orders - Open Logic Project Builds
    Definition bas.1. A dense linear ordering without endpoints is a structure M for the language containing a single 2-place predicate symbol < satisfying the.<|control11|><|separator|>
  13. [13]
    A survey of homogeneous structures - ScienceDirect.com
    Aug 6, 2011 · A basic example of a homogeneous structure is the countable dense linear order without endpoints, ( Q , < ) ; for this structure ...
  14. [14]
    [PDF] Linear Orders and the Real Line - arXiv
    Aug 21, 2025 · A linear order (P, <) is dense if for all a<b there exists a c such that a<c<b. We now give a proof of Cantor's unique characterization of the ...
  15. [15]
    [PDF] The Effective Algebra of Uncountable Linear Orders
    Dense Linear Orders. Definition. Denote by ρ the order type of the real numbers, i.e., the completion of the order type η. Remark. We view η ⊂ ρ as an ...
  16. [16]
    [PDF] homework week 3
    Let hX, <Xi and hY,<Y i be two countable dense linear orderings without endpoints. Prove that they are isomorphic, that is, show the existence of a.Missing: method | Show results with:method
  17. [17]
    Well Ordered Set -- from Wolfram MathWorld
    A totally ordered set (A,<=) is said to be well ordered (or have a well-founded order) iff every nonempty subset of A has a least element.
  18. [18]
    The Axiom of Choice - Stanford Encyclopedia of Philosophy
    Jan 8, 2008 · The Well-Ordering Theorem (Zermelo 1904, 1908). Every set can be well-ordered. After Zermelo published his 1904 proof of the well-ordering ...Missing: primary | Show results with:primary
  19. [19]
    The Mathematical Import of Zermelo's Well-Ordering Theorem - jstor
    His first proof in 1904 of his Well-Ordering Theorem is a central articula. containing much of what would become familiar in the subsequent devel. ment of set ...
  20. [20]
    Set Theory - Stanford Encyclopedia of Philosophy
    Oct 8, 2014 · Set theory is the mathematical theory of well-determined collections, called sets, of objects that are called members, or elements, of the set.
  21. [21]
    Order embeddings | Order Theory Class Notes - Fiveable
    Order embeddings vs order isomorphisms. Order embeddings and order isomorphisms are closely related concepts in order theory; Understanding their similarities ...
  22. [22]
    [PDF] Zorn's lemma and some applications - Keith Conrad
    We can partially order S by declaring (X, f) ≤ (Y,g) when X ⊂ Y and g|X = f. This means g is an extension of f to a larger subset of A. Let's check the second ...
  23. [23]
    [PDF] A SCATTERING OF ORDERS - CMU Math
    A linear ordering is scattered if it does not contain a copy of the rationals. Hausdorff characterised the class of scattered linear orderings as the least ...
  24. [24]
    [PDF] Generalisations of scattered orders
    The κ-scattered linear orders form a class which is exactly the closure of the class of all well-orders and linear orders of size < κ under inversions and.
  25. [25]
    The metamathematics of scattered linear orderings
    ... Hausdorff's theorem concerning the canonical decomposition of countable linear orderings into a sum over a dense or singleton set of scattered linear orderings.