The Ordinal Numbers and Transfinite Induction
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
How Many Borel Sets Are There? Object. This Series of Exercises Is
How Many Borel Sets are There? Object. This series of exercises is designed to lead to the conclusion that if BR is the σ- algebra of Borel sets in R, then Card(BR) = c := Card(R): This is the conclusion of problem 4. As a bonus, we also get some insight into the \structure" of BR via problem 2. This just scratches the surface. If you still have an itch after all this, you want to talk to a set theorist. This treatment is based on the discussion surrounding [1, Proposition 1.23] and [2, Chap. V x10 #31]. For these problems, you will need to know a bit about well-ordered sets and transfinite induction. I suggest [1, x0.4] where transfinite induction is [1, Proposition 0.15]. Note that by [1, Proposition 0.18], there is an uncountable well ordered set Ω such that for all x 2 Ω, Ix := f y 2 Ω: y < x g is countable. The elements of Ω are called the countable ordinals. We let 1 := inf Ω. If x 2 Ω, then x + 1 := inff y 2 Ω: y > x g is called the immediate successor of x. If there is a z 2 Ω such that z + 1 = x, then z is called the immediate predecessor of x. If x has no immediate predecessor, then x is called a limit ordinal.1 1. Show that Card(Ω) ≤ c. (This follows from [1, Propositions 0.17 and 0.18]. Alternatively, you can use transfinite induction to construct an injective function f :Ω ! R.)2 ANS: Actually, this follows almost immediately from Folland's Proposition 0.17. -
Biography Paper – Georg Cantor
Mike Garkie Math 4010 – History of Math UCD Denver 4/1/08 Biography Paper – Georg Cantor Few mathematicians are house-hold names; perhaps only Newton and Euclid would qualify. But there is a second tier of mathematicians, those whose names might not be familiar, but whose discoveries are part of everyday math. Examples here are Napier with logarithms, Cauchy with limits and Georg Cantor (1845 – 1918) with sets. In fact, those who superficially familier with Georg Cantor probably have two impressions of the man: First, as a consequence of thinking about sets, Cantor developed a theory of the actual infinite. And second, that Cantor was a troubled genius, crippled by Freudian conflict and mental illness. The first impression is fundamentally true. Cantor almost single-handedly overturned the Aristotle’s concept of the potential infinite by developing the concept of transfinite numbers. And, even though Bolzano and Frege made significant contributions, “Set theory … is the creation of one person, Georg Cantor.” [4] The second impression is mostly false. Cantor certainly did suffer from mental illness later in his life, but the other emotional baggage assigned to him is mostly due his early biographers, particularly the infamous E.T. Bell in Men Of Mathematics [7]. In the racially charged atmosphere of 1930’s Europe, the sensational story mathematician who turned the idea of infinity on its head and went crazy in the process, probably make for good reading. The drama of the controversy over Cantor’s ideas only added spice. 1 Fortunately, modern scholars have corrected the errors and biases in older biographies. -
Epsilon Substitution for Transfinite Induction
Epsilon Substitution for Transfinite Induction Henry Towsner May 20, 2005 Abstract We apply Mints’ technique for proving the termination of the epsilon substitution method via cut-elimination to the system of Peano Arith- metic with Transfinite Induction given by Arai. 1 Introduction Hilbert introduced the epsilon calculus in [Hilbert, 1970] as a method for proving the consistency of arithmetic and analysis. In place of the usual quantifiers, a symbol is added, allowing terms of the form xφ[x], which are interpreted as “some x such that φ[x] holds, if such a number exists.” When there is no x satisfying φ[x], we allow xφ[x] to take an arbitrary value (usually 0). Then the existential quantifier can be defined by ∃xφ[x] ⇔ φ[xφ[x]] and the universal quantifier by ∀xφ[x] ⇔ φ[x¬φ[x]] Hilbert proposed a method for transforming non-finitistic proofs in this ep- silon calculus into finitistic proofs by assigning numerical values to all the epsilon terms, making the proof entirely combinatorial. The difficulty centers on the critical formulas, axioms of the form φ[t] → φ[xφ[x]] In Hilbert’s method we consider the (finite) list of critical formulas which appear in a proof. Then we define a series of functions, called -substitutions, each providing values for some of the of the epsilon terms appearing in the list. Each of these substitutions will satisfy some, but not necessarily all, of the critical formulas appearing in proof. At each step we take the simplest unsatisfied critical formula and update it so that it becomes true. -
Even Ordinals and the Kunen Inconsistency∗
Even ordinals and the Kunen inconsistency∗ Gabriel Goldberg Evans Hall University Drive Berkeley, CA 94720 July 23, 2021 Abstract This paper contributes to the theory of large cardinals beyond the Kunen inconsistency, or choiceless large cardinal axioms, in the context where the Axiom of Choice is not assumed. The first part of the paper investigates a periodicity phenomenon: assuming choiceless large cardinal axioms, the properties of the cumulative hierarchy turn out to alternate between even and odd ranks. The second part of the paper explores the structure of ultrafilters under choiceless large cardinal axioms, exploiting the fact that these axioms imply a weak form of the author's Ultrapower Axiom [1]. The third and final part of the paper examines the consistency strength of choiceless large cardinals, including a proof that assuming DC, the existence of an elementary embedding j : Vλ+3 ! Vλ+3 implies the consistency of ZFC + I0. embedding j : Vλ+3 ! Vλ+3 implies that every subset of Vλ+1 has a sharp. We show that the existence of an elementary embedding from Vλ+2 to Vλ+2 is equiconsistent with the existence of an elementary embedding from L(Vλ+2) to L(Vλ+2) with critical point below λ. We show that assuming DC, the existence of an elementary embedding j : Vλ+3 ! Vλ+3 implies the consistency of ZFC + I0. By a recent result of Schlutzenberg [2], an elementary embedding from Vλ+2 to Vλ+2 does not suffice. 1 Introduction Assuming the Axiom of Choice, the large cardinal hierarchy comes to an abrupt halt in the vicinity of an !-huge cardinal. -
Order Types and Structure of Orders
ORDER TYPES AND STRUCTURE OF ORDERS BY ANDRE GLEYZALp) 1. Introduction. This paper is concerned with operations on order types or order properties a and the construction of order types related to a. The reference throughout is to simply or linearly ordered sets, and we shall speak of a as either property or type. Let a and ß be any two order types. An order A will be said to be of type aß if it is the sum of /3-orders (orders of type ß) over an a-order; i.e., if A permits of decomposition into nonoverlapping seg- ments each of order type ß, the segments themselves forming an order of type a. We have thus associated with every pair of order types a and ß the product order type aß. The definition of product for order types automatically associates with every order type a the order types aa = a2, aa2 = a3, ■ ■ ■ . We may further- more define, for all ordinals X, a Xth power of a, a\ and finally a limit order type a1. This order type has certain interesting properties. It has closure with respect to the product operation, for the sum of ar-orders over an a7-order is an a'-order, i.e., a'al = aI. For this reason we call a1 iterative. In general, we term an order type ß having the property that ßß = ß iterative, a1 has the following postulational identification: 1. a7 is a supertype of a; that is to say, all a-orders are a7-orders. 2. a1 is iterative. -
Handout from Today's Lecture
MA532 Lecture Timothy Kohl Boston University April 23, 2020 Timothy Kohl (Boston University) MA532 Lecture April 23, 2020 1 / 26 Cardinal Arithmetic Recall that one may define addition and multiplication of ordinals α = ot(A, A) β = ot(B, B ) α + β and α · β by constructing order relations on A ∪ B and B × A. For cardinal numbers the foundations are somewhat similar, but also somewhat simpler since one need not refer to orderings. Definition For sets A, B where |A| = α and |B| = β then α + β = |(A × {0}) ∪ (B × {1})|. Timothy Kohl (Boston University) MA532 Lecture April 23, 2020 2 / 26 The curious part of the definition is the two sets A × {0} and B × {1} which can be viewed as subsets of the direct product (A ∪ B) × {0, 1} which basically allows us to add |A| and |B|, in particular since, in the usual formula for the size of the union of two sets |A ∪ B| = |A| + |B| − |A ∩ B| which in this case is bypassed since, by construction, (A × {0}) ∩ (B × {1})= ∅ regardless of the nature of A ∩ B. Timothy Kohl (Boston University) MA532 Lecture April 23, 2020 3 / 26 Definition For sets A, B where |A| = α and |B| = β then α · β = |A × B|. One immediate consequence of these definitions is the following. Proposition If m, n are finite ordinals, then as cardinals one has |m| + |n| = |m + n|, (where the addition on the right is ordinal addition in ω) meaning that ordinal addition and cardinal addition agree. Proof. The simplest proof of this is to define a bijection f : (m × {0}) ∪ (n × {1}) → m + n by f (hr, 0i)= r for r ∈ m and f (hs, 1i)= m + s for s ∈ n. -
The Axiom of Choice and Its Implications
THE AXIOM OF CHOICE AND ITS IMPLICATIONS KEVIN BARNUM Abstract. In this paper we will look at the Axiom of Choice and some of the various implications it has. These implications include a number of equivalent statements, and also some less accepted ideas. The proofs discussed will give us an idea of why the Axiom of Choice is so powerful, but also so controversial. Contents 1. Introduction 1 2. The Axiom of Choice and Its Equivalents 1 2.1. The Axiom of Choice and its Well-known Equivalents 1 2.2. Some Other Less Well-known Equivalents of the Axiom of Choice 3 3. Applications of the Axiom of Choice 5 3.1. Equivalence Between The Axiom of Choice and the Claim that Every Vector Space has a Basis 5 3.2. Some More Applications of the Axiom of Choice 6 4. Controversial Results 10 Acknowledgments 11 References 11 1. Introduction The Axiom of Choice states that for any family of nonempty disjoint sets, there exists a set that consists of exactly one element from each element of the family. It seems strange at first that such an innocuous sounding idea can be so powerful and controversial, but it certainly is both. To understand why, we will start by looking at some statements that are equivalent to the axiom of choice. Many of these equivalences are very useful, and we devote much time to one, namely, that every vector space has a basis. We go on from there to see a few more applications of the Axiom of Choice and its equivalents, and finish by looking at some of the reasons why the Axiom of Choice is so controversial. -
Elements of Set Theory
Elements of set theory April 1, 2014 ii Contents 1 Zermelo{Fraenkel axiomatization 1 1.1 Historical context . 1 1.2 The language of the theory . 3 1.3 The most basic axioms . 4 1.4 Axiom of Infinity . 4 1.5 Axiom schema of Comprehension . 5 1.6 Functions . 6 1.7 Axiom of Choice . 7 1.8 Axiom schema of Replacement . 9 1.9 Axiom of Regularity . 9 2 Basic notions 11 2.1 Transitive sets . 11 2.2 Von Neumann's natural numbers . 11 2.3 Finite and infinite sets . 15 2.4 Cardinality . 17 2.5 Countable and uncountable sets . 19 3 Ordinals 21 3.1 Basic definitions . 21 3.2 Transfinite induction and recursion . 25 3.3 Applications with choice . 26 3.4 Applications without choice . 29 3.5 Cardinal numbers . 31 4 Descriptive set theory 35 4.1 Rational and real numbers . 35 4.2 Topological spaces . 37 4.3 Polish spaces . 39 4.4 Borel sets . 43 4.5 Analytic sets . 46 4.6 Lebesgue's mistake . 48 iii iv CONTENTS 5 Formal logic 51 5.1 Propositional logic . 51 5.1.1 Propositional logic: syntax . 51 5.1.2 Propositional logic: semantics . 52 5.1.3 Propositional logic: completeness . 53 5.2 First order logic . 56 5.2.1 First order logic: syntax . 56 5.2.2 First order logic: semantics . 59 5.2.3 Completeness theorem . 60 6 Model theory 67 6.1 Basic notions . 67 6.2 Ultraproducts and nonstandard analysis . 68 6.3 Quantifier elimination and the real closed fields . -
CLASS II MATHEMATICS CHAPTER-2: ORDINAL NUMBERS Cardinal Numbers - the Numbers One, Two, Three
CLASS II MATHEMATICS CHAPTER-2: ORDINAL NUMBERS Cardinal Numbers - The numbers one, two, three,..... which tell us the number of objects or items are called Cardinal Numbers. Ordinal Numbers - The numbers such as first, second, third ...... which tell us the position of an object in a collection are called Ordinal Numbers. CARDINAL NUMBERS READ THE CONVERSATION That was great Ria… I stood first Hi Mic! How in my class. was your result? In the conversation the word ’first’ is an ordinal number. LOOK AT THE PICTURE CAREFULLY FIRST THIRD FIFTH SECOND FOURTH ORDINAL NUMBERS Cardinal Numbers Ordinal Numbers 1 1st / first 2 2nd / second 3 3rd / third 4 4th / fourth 5 5th / fifth 6 6th / sixth 7 7th / seventh 8 8th / eighth 9 9th / ninth 10 10th / tenth Cardinal Numbers Ordinal Numbers 11 11th / eleventh 12 12th / twelfth 13 13th / thirteenth 14 14th / fourteenth 15 15th / fifteenth 16 16th / sixteenth 17 17th / seventeenth 18 18th / eighteenth 19 19th / nineteenth 20 20th / twentieth Q1. Observe the given sequence of pictures and fill in the blanks with correct ordinal numbers. 1. Circle is at __ place. 2. Bat and ball is at __ place. 3. Cross is at __ place. 4. Kite is at __ place. 5. Flower is at __ place. 6. Flag is at __ place. HOME ASSIGNMENT 1. MATCH THE CORRECT PAIRS OF ORDINAL NUMBERS: 1. seventh 4th 2. fourth 7th 3. ninth 20th 4. twentieth 9th 5. tenth 6th 6. sixth 10th 7. twelfth 13th 8. fourteenth 12th 9. thirteenth 14th Let’s Solve 2. FILL IN THE BLANKS WITH CORRECT ORDINAL NUMBER 1. -
Types for Describing Coordinated Data Structures
Types for Describing Coordinated Data Structures Michael F. Ringenburg∗ Dan Grossman [email protected] [email protected] Dept. of Computer Science & Engineering University of Washington, Seattle, WA 98195 ABSTRACT the n-th function). This section motivates why such invari- Coordinated data structures are sets of (perhaps unbounded) ants are important, explores why the scope of type variables data structures where the nodes of each structure may share makes the problem appear daunting, and previews the rest abstract types with the corresponding nodes of the other of the paper. structures. For example, consider a list of arguments, and 1.1 Low-Level Type Systems a separate list of functions, where the n-th function of the Recent years have witnessed substantial work on powerful second list should be applied only to the n-th argument of type systems for safe, low-level languages. Standard moti- the first list. We can guarantee that this invariant is obeyed vation for such systems includes compiler debugging (gener- by coordinating the two lists, such that the type of the n-th ated code that does not type check implies a compiler error), argument is existentially quantified and identical to the ar- proof-carrying code (the type system encodes a safety prop- gument type of the n-th function. In this paper, we describe erty that the type-checker verifies), automated optimization a minimal set of features sufficient for a type system to sup- (an optimizer can exploit the type information), and manual port coordinated data structures. We also demonstrate that optimization (humans can use idioms unavailable in higher- two known type systems (Crary and Weirich’s LX [6] and level languages without sacrificing safety). -
Ordinals. Transfinite Induction and Recursion We Will Not Use The
Set Theory (MATH 6730) Ordinals. Transfinite Induction and Recursion We will not use the Axiom of Choice in this chapter. All theorems we prove will be theorems of ZF = ZFC n fACg. 1. Ordinals To motivate ordinals, recall from elementary (naive) set theory that natural numbers can be used to label elements of a finite set to indicate a linear ordering: 0th, 1st, 2nd, :::, 2019th element. Although this will not be immediately clear from the definition, `ordinal numbers' or `ordi- nals' are sets which are introduced to play the same role for special linear orderings, called `well-orderings', of arbitrary sets. For example, one such ordering might be the following: 0th, 1st, 2nd, :::, 2019th, :::;!th, (! + 1)st element: | {z } we have run out of all natural numbers Definition 1.1. A set s is called transitive, if every element of s is a subset of s; i.e., for any sets x; y such that x 2 y 2 s we have that x 2 s. Thus, the class of all transitive sets is defined by the formula tr(s) ≡ 8x 8y (x 2 y ^ y 2 s) ! x 2 s: Definition 1.2. A transitive set of transitive sets is called an ordinal number or ordinal. Thus, the class On of all ordinals is defined by the formula on(x) ≡ tr(x) ^ 8y 2 x tr(y): Ordinals will usually be denoted by the first few letters of the Greek alphabet. The following facts are easy consequences of the definition of ordinals. 1 2 Theorem 1.3. (i) ; 2 On. -
Towards a Probability-Free Theory of Continuous Martingales
Towards a probability-free theory of continuous martingales Vladimir Vovk and Glenn Shafer volodya.vovk,glennrayshafer @gmail.com { } March 28, 2017 Abstract Without probability theory, we define classes of supermartingales, martingales, and semimartingales in idealized financial markets with con- tinuous price paths. This allows us to establish probability-free versions of a number of standard results in martingale theory, including the Dubins– Schwarz theorem, the Girsanov theorem, and results concerning the Itˆo integral. We also establish the existence of an equity premium and a CAPM relationship in this probability-free setting. The version of this paper at http://probabilityandfinance.com (Working Paper 45) is updated most often. 1 Introduction We consider a financial market in which a finite number of securities with con- tinuous price paths are traded. We do not make any stochastic assumptions, and our basic definitions are in the spirit of what we call game-theoretic prob- ability (see, e.g., [9]). This theory’s key notion, probability-free superhedging, has been formalized in different ways in the case of continuous time. The def- inition suggested in [10] is very cautious. Perkowski and Pr¨omel [5] propose a broader definition, making superhedging easier. In this paper we propose an arXiv:1703.08715v1 [q-fin.MF] 25 Mar 2017 even broader definition of superhedging and use it to define concepts such as continuous martingale, nonnegative supermartingale, etc. This allows us to de- rive probability-free versions of several standard results of martingale theory. In particular, we will give a simple proof of the Girsanov theorem stated (and proved in a roundabout way) in [13].