The Emergence of Some of the Nonlogical Paradoxes of the Theory of Sets, 1903-1908
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Paradox Philosophy
Paradox Philosophy Course at Akita International University Philipp Blum, University of Lucerne, [email protected] https://philipp.philosophie.ch/teaching/paradoxes20.html Summary of the course, version of February 17, 2020 Contents 1 Administrative info 2 2 What is a paradox? 3 3 Mathematical Paradoxes 4 3.1 Things and their groupings .............................. 4 3.2 Cantor and modern set theory ............................ 4 3.3 Frege’s definition of number and Russell’s paradox ................. 6 4 Physical Paradoxes 7 4.1 Zeno’s paradoxes .................................... 7 4.2 Not easily solved by the modern calculus ....................... 9 4.3 Whitehead’s lesson: becoming is not continuous ................... 9 4.4 Russell’s lesson: the at-at theory of motion ..................... 10 4.5 Black’s lesson: the problem of hypertasks ...................... 11 4.6 Background 1: the line and the points ........................ 11 4.7 Background 2: the metaphysics of persistence and the problem of change . 12 5 Semantic Paradoxes 13 5.1 Truth and Falsity .................................... 13 5.2 The Liar ......................................... 14 5.3 The Strengthened Liar ................................. 15 5.4 A Spicy Curry ..................................... 15 5.5 Having fun with liars and curries ........................... 16 5.6 The Sorites paradox .................................. 17 6 Paradoxes of Rationality 18 6.1 Surprise Exam ..................................... 18 6.2 Prisoners’ Dilemma .................................. -
From Von Mises' Impossibility of a Gambling System to Probabilistic
From von Mises' Impossibility of a Gambling System to Probabilistic Martingales MSc Thesis (Afstudeerscriptie) written by Francesca Zaffora Blando (born January 27th, 1988 in Chivasso, Italy) under the supervision of Prof. Dr. Paul Vit´anyi and Prof. Dr. Michiel van Lambalgen, and submitted to the Board of Examiners in partial fulfillment of the requirements for the degree of MSc in Logic at the Universiteit van Amsterdam. Date of the public defense: Members of the Thesis Committee: September 16th, 2015 Prof. Dr. Johan van Benthem Prof. Dr. Michiel van Lambalgen (supervisor) Dr. Piet Rodenburg Dr. Leen Torenvliet Prof. Dr. Paul Vit´anyi (supervisor) Prof. Dr. Ronald de Wolf (chair) Per Si´sPi`uOtto! Abstract Algorithmic randomness draws on computability theory to offer rigorous formulations of the notion of randomness for mathematical objects. In addition to having evolved into a highly technical branch of mathematical logic, algorithmic randomness prompts numerous methodological questions. This thesis aims at addressing some of these questions, together with some of the technical challenges that they spawn. In the first part, we discuss the work on randomness and the foundations of probability of the Austrian mathematician Richard von Mises [1919], whose theory of collectives constitutes the first attempt at providing a formal definition of randomness. Our main objective there is to ascertain the reasons that led to the demise of von Mises' approach in favour of algorithmic randomness. Then, we turn to the myriad definitions of randomness that have been proposed within the algorithmic paradigm, and we focus on the issue of whether any of these definitions can be said to be more legitimate than the others. -
Paradoxes Situations That Seems to Defy Intuition
Paradoxes Situations that seems to defy intuition PDF generated using the open source mwlib toolkit. See http://code.pediapress.com/ for more information. PDF generated at: Tue, 08 Jul 2014 07:26:17 UTC Contents Articles Introduction 1 Paradox 1 List of paradoxes 4 Paradoxical laughter 16 Decision theory 17 Abilene paradox 17 Chainstore paradox 19 Exchange paradox 22 Kavka's toxin puzzle 34 Necktie paradox 36 Economy 38 Allais paradox 38 Arrow's impossibility theorem 41 Bertrand paradox 52 Demographic-economic paradox 53 Dollar auction 56 Downs–Thomson paradox 57 Easterlin paradox 58 Ellsberg paradox 59 Green paradox 62 Icarus paradox 65 Jevons paradox 65 Leontief paradox 70 Lucas paradox 71 Metzler paradox 72 Paradox of thrift 73 Paradox of value 77 Productivity paradox 80 St. Petersburg paradox 85 Logic 92 All horses are the same color 92 Barbershop paradox 93 Carroll's paradox 96 Crocodile Dilemma 97 Drinker paradox 98 Infinite regress 101 Lottery paradox 102 Paradoxes of material implication 104 Raven paradox 107 Unexpected hanging paradox 119 What the Tortoise Said to Achilles 123 Mathematics 127 Accuracy paradox 127 Apportionment paradox 129 Banach–Tarski paradox 131 Berkson's paradox 139 Bertrand's box paradox 141 Bertrand paradox 146 Birthday problem 149 Borel–Kolmogorov paradox 163 Boy or Girl paradox 166 Burali-Forti paradox 172 Cantor's paradox 173 Coastline paradox 174 Cramer's paradox 178 Elevator paradox 179 False positive paradox 181 Gabriel's Horn 184 Galileo's paradox 187 Gambler's fallacy 188 Gödel's incompleteness theorems -
The Π Research Network
Version 1.0 THE Π RESEARCH NETWORK Patrick Allo, Bert Baumgaertner, Simon D’Alfonso, Nir Fresco, Federico Gobbo, Carson Grubaugh, Andrew Iliadis, Phyllis Illari, Eric Kerr, Giuseppe Primiero, Federica Russo, Christoph Schulz, Mariarosaria Taddeo, Matteo Turilli, Orlin Vakarelov, Hector Zenil. THE PHILOSOPHY OF INFORMATION AN INTRODUCTION T H E Π RESEARCH NETWORK The Philosophy of Information An Introduction The Philosophy of Information - An Introduction by The Π Research Network is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. THE PHILOSOPHY OF IN F O R M A T I O N — A N INTRODUCTION Table of Contents Table of Contents 1 List of Figures 5 PREFACE 6 CONTRIBUTORS 7 Part I: Introductory material 8 1. A QUICK HISTORY OF THE PHILOSOPHY OF INFORMATION 9 1.1 Introduction 9 1.2 Turing’s basic idea 10 1.3 Shannon’s basic idea 12 1.4 Extension of the concepts 14 1.5 Cybernetics 15 1.6 Dretske 18 1.7 French Philosophy of Information 21 1.8 Conclusion 26 1.9 Exercises 26 1.10 Further reading 27 2. WHAT IS THE PHILOSOPHY OF INFORMATION TODAY? 28 2.1 Introduction 28 2.2 The information revolution alters our self-understanding 29 2.3 The philosophy of information as a field 31 2.4 Open and closed questions 33 2.5 The idea of a Level of Abstraction (LoA) 36 2.6 The definition of a level of abstraction 37 2.7 The implications of LoAs 39 2.8 Exercises 41 2.9 Further reading 42 3. NATURALISED INFORMATION 43 3.1 Semantic vs. -
List of Paradoxes 1 List of Paradoxes
List of paradoxes 1 List of paradoxes This is a list of paradoxes, grouped thematically. The grouping is approximate: Paradoxes may fit into more than one category. Because of varying definitions of the term paradox, some of the following are not considered to be paradoxes by everyone. This list collects only those instances that have been termed paradox by at least one source and which have their own article. Although considered paradoxes, some of these are based on fallacious reasoning, or incomplete/faulty analysis. Logic • Barbershop paradox: The supposition that if one of two simultaneous assumptions leads to a contradiction, the other assumption is also disproved leads to paradoxical consequences. • What the Tortoise Said to Achilles "Whatever Logic is good enough to tell me is worth writing down...," also known as Carroll's paradox, not to be confused with the physical paradox of the same name. • Crocodile Dilemma: If a crocodile steals a child and promises its return if the father can correctly guess what the crocodile will do, how should the crocodile respond in the case that the father guesses that the child will not be returned? • Catch-22 (logic): In need of something which can only be had by not being in need of it. • Drinker paradox: In any pub there is a customer such that, if he or she drinks, everybody in the pub drinks. • Paradox of entailment: Inconsistent premises always make an argument valid. • Horse paradox: All horses are the same color. • Lottery paradox: There is one winning ticket in a large lottery. It is reasonable to believe of a particular lottery ticket that it is not the winning ticket, since the probability that it is the winner is so very small, but it is not reasonable to believe that no lottery ticket will win. -
What Is Mathematics: Gödel's Theorem and Around. by Karlis
1 Version released: January 25, 2015 What is Mathematics: Gödel's Theorem and Around Hyper-textbook for students by Karlis Podnieks, Professor University of Latvia Institute of Mathematics and Computer Science An extended translation of the 2nd edition of my book "Around Gödel's theorem" published in 1992 in Russian (online copy). Diploma, 2000 Diploma, 1999 This work is licensed under a Creative Commons License and is copyrighted © 1997-2015 by me, Karlis Podnieks. This hyper-textbook contains many links to: Wikipedia, the free encyclopedia; MacTutor History of Mathematics archive of the University of St Andrews; MathWorld of Wolfram Research. Are you a platonist? Test yourself. Tuesday, August 26, 1930: Chronology of a turning point in the human intellectua l history... Visiting Gödel in Vienna... An explanation of “The Incomprehensible Effectiveness of Mathematics in the Natural Sciences" (as put by Eugene Wigner). 2 Table of Contents References..........................................................................................................4 1. Platonism, intuition and the nature of mathematics.......................................6 1.1. Platonism – the Philosophy of Working Mathematicians.......................6 1.2. Investigation of Stable Self-contained Models – the True Nature of the Mathematical Method..................................................................................15 1.3. Intuition and Axioms............................................................................20 1.4. Formal Theories....................................................................................27 -
Critique of Previous Comprehensive Studies of Self-Referential Paradoxes
Critique of Previous Comprehensive Studies of Self-referential Paradoxes YAMAMORI Maiko Kyoto University Abstract: The fact that it produces a paradox implies the possibility that a theory or a thought is not entirely rational. At the same time, the possible resolution of paradoxes suggests candidates for the conditions that may make theories or thoughts consistent. Many scholars have investigated paradoxes to find their solutions. The primary approach to a paradox is to consider each solution in turn (the one-by-one approach); studies using this approach have resulted in many diverse solutions, but it is limited by serious problems. Hence, I will adopt another approach, termed here as the comprehensive approach, to consider a general solution or solutions to all paradoxes. Here the focus will be on self-referential paradoxes. A self-referential paradox indicates a paradox that occurs when the subject of a proposition is in part the proposition itself. Further, some paradoxes are not self-referential but seem to be. To preserve the appearances of our intuition of a self-reference, I introduce a categorization of self-references into two types (with two corresponding types of accompanying paradoxes): the first is a narrow self-reference, that is, precisely a reference to itself (this matches the existing characterization). The other type is a broad self-reference or a reference to a group or groups containing itself. In this paper, first, I will examine the works of three figures, Bertrand Russell; Graham Priest; and Martin Pleitz, who take a comprehensive approach: considering the general conditions for self-referential paradoxes, analyzing them, and suggesting general solutions for them. -
Mathematical Paradoxes
Introduction: Mathematical Paradoxes Intuitive approach. Until recently, till the end of the 19th century, mathematical theories used to be built in an intuitive or axiomatic way. The historical development of mathematics has shown that it is not sufficient to base theories on an intuitive understanding of their notions only. This fact became especially obvious in set theory. 1 The basic concept of a set is certainly taken from reality, for there we come across many examples of various sets, all of which are finite. But in mathematics it is also necessary to consider infinite sets, such as the set of all integers, the set of all rational numbers, the set of all segments, the set of all tri- angles. 2 Intuitively, by a set, we mean any collection of objects- for example, the set of all even integers or the set of all students in a class. The objects that make up a set are called its members (elements). Sets may themselves be members of sets for example, the set of all sets of integers has sets as its members. 3 Most sets are not members of themselves. For example the set of all students is not a member of itself, because the set of all students is not a student. However, there may be sets that do belong to themselves. For example the set of all sets. A following simple reasoning indicates that it is necessary to impose some limitations on the concept of a set. 4 Russell Paradox, 1902: Consider the set A of all those sets X such that X is not a member of X. -
Paradoxes in Logic and Set Theory
MATH110 Lecturenotes–11 Paradoxes in Logic and Set Theory 1. Existence of irrational numbers. About 2.5 thousand years ago, Pythagoreans proved that √2 was irrational, which was controversial at the time. Until then it was believed that all numbers are rational, i.e. can be expressed as quotients of integers. 2. Paradox of enumeration. Which set is bigger? Before formal set theory was introduced, the notion of the size of a set had been problematic. It had been discussed by Italian mathematicians Galileo Galilei and Bernard Bolzano (17th-18th centruries), among others. Are there more as as many natural numbers as perfect squares (squares of natural numbers)? The answer is yes, because for every natural number n there is a square number n2, and likewise the other way around. The answer is no, because the squares are a proper subset of the naturals: every square is a natural number but there are natural numbers, like 2, which are not squares of natural numbers. By defining the notion of the size of a set in terms of its cardinality, the issue can be settled, as there is a bijection between the two sets involved. Georg Cantor (late 19th-early 20th centuries) invented set theory. Cantor es- tablished the importance of one-to-one correspondence between the members of two sets, defined infinite and well-ordered sets, and proved that the real num- bers are more numerous than the natural numbers. He introduced the concept of cardinality. “I see it but I don’t believe,” Cantor wrote to Dedekind after proving that the set of points of a square has the same cardinality as that of the points on just an edge of the square: the cardinality of the continuum. -
Diagonalization and Logical Paradoxes
DIAGONALIZATION AND LOGICAL PARADOXES DIAGONALIZATION AND LOGICAL PARADOXES By HAIXIA ZHONG, B.B.A., M.A. A Thesis Submitted to the School of Graduate Studies in Partial Fulfilment of the Requirements for the Degree of Doctor of Philosophy McMaster University © Copyright by Haixia Zhong, August 2013 DOCTOR OF PHILOSOPHY (2013) (Philosophy) McMaster University Hamilton, Ontario TITLE: Diagonalization and Logical Paradoxes AUTHOR: Haixia Zhong, B.B.A. (Nanjing University), M.A. (Peking University) SUPERVISOR: Professor Richard T. W. Arthur NUMBER OF PAGES: vi, 229 ii ABSTRACT The purpose of this dissertation is to provide a proper treatment for two groups of logical paradoxes: semantic paradoxes and set-theoretic paradoxes. My main thesis is that the two different groups of paradoxes need different kinds of solution. Based on the analysis of the diagonal method and truth-gap theory, I propose a functional-deflationary interpretation for semantic notions such as ‘heterological’, ‘true’, ‘denote’, and ‘define’, and argue that the contradictions in semantic paradoxes are due to a misunderstanding of the non-representational nature of these semantic notions. Thus, they all can be solved by clarifying the relevant confusion: the liar sentence and the heterological sentence do not have truth values, and phrases generating paradoxes of definability (such as that in Berry’s paradox) do not denote an object. I also argue against three other leading approaches to the semantic paradoxes: the Tarskian hierarchy, contextualism, and the paraconsistent approach. I show that they fail to meet one or more criteria for a satisfactory solution to the semantic paradoxes. For the set-theoretic paradoxes, I argue that the criterion for a successful solution in the realm of set theory is mathematical usefulness. -
Chapters Are Organised Thema� Cally to Cover: Wri� Ng and Solving Equa� Ons, Geometric Construc� On, Coordinates and Complex Numbers, A� Tudes to the Use
E Making up Numbers A History of Invention in Mathematics KKEHARD EKKEHARD KOPP Making up Numbers: A History of Inventi on in Mathemati cs off ers a detailed but K Making up Numbers accessible account of a wide range of mathema� cal ideas. Star� ng with elementary OPP concepts, it leads the reader towards aspects of current mathema� cal research. A History of Invention in Mathematics Ekkehard Kopp adopts a chronological framework to demonstrate that changes in our understanding of numbers have o� en relied on the breaking of long-held conven� ons, making way for new inven� ons that provide greater clarity and widen mathema� cal horizons. Viewed from this historical perspec� ve, mathema� cal abstrac� on emerges as neither mysterious nor immutable, but as a con� ngent, developing human ac� vity. Chapters are organised thema� cally to cover: wri� ng and solving equa� ons, geometric construc� on, coordinates and complex numbers, a� tudes to the use of ‘infi nity’ in mathema� cs, number systems, and evolving views of the role of M axioms. The narra� ve moves from Pythagorean insistence on posi� ve mul� ples to gradual acceptance of nega� ve, irra� onal and complex numbers as essen� al tools in quan� ta� ve analysis. AKING Making up Numbers will be of great interest to undergraduate and A-level students of mathema� cs, as well as secondary school teachers of the subject. By virtue of UP its detailed treatment of mathema� cal ideas, it will be of value to anyone seeking N to learn more about the development of the subject. -
Mathematics Self Proves Its Own Consistency and Other Matters
Inconsistency Robustness in Foundations: Mathematics self proves its own Consistency and Other Matters Carl Hewitt This article is dedicated to Alonzo Church, Stanisław Jaśkowski, Ludwig Wittgenstein, and Ernst Zermelo. Abstract Inconsistency Robustness is performance of information systems with pervasively inconsistent information. Inconsistency Robustness of the community of professional mathematicians is their performance repeatedly repairing contradictions over the centuries. In the Inconsistency Robustness paradigm, deriving contradictions have been a progressive development and not “game stoppers.” Contradictions can be helpful instead of being something to be “swept under the rug” by denying their existence, which has been repeatedly attempted by Establishment Philosophers (beginning with some Pythagoreans). Such denial has delayed mathematical development. This article reports how considerations of Inconsistency Robustness have recently influenced the foundations of mathematics for Computer Science continuing a tradition developing the sociological basis for foundations.1 Classical Direct Logic is a foundation of mathematics for Computer Science, which has a foundational theory (for convenience called “Mathematics”) that can be used in any other theory. A bare turnstile is used for Mathematics so that ├Ψ means that Ψ is a mathematical proposition that is a theorem of Mathematics and Φ├Ψ means that Ψ can be inferred from Φ in Mathematics. The current common understanding is that Gödel proved “Mathematics cannot prove its own consistency, if it is consistent.” However, the consistency of mathematics can be proved by a simple argument using standard rules of Mathematics including the following: rule of Proof by Contradiction, i.e., (Φ⇒(ΘΘ))├ Φ and the rule of Soundness, i.e., (├ Φ)⇒Φ Formal Proof.