Infinity in the High School Mathematics Classroom Alyssa Hoslar John Carroll University, [email protected]
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Nieuw Archief Voor Wiskunde
Nieuw Archief voor Wiskunde Boekbespreking Kevin Broughan Equivalents of the Riemann Hypothesis Volume 1: Arithmetic Equivalents Cambridge University Press, 2017 xx + 325 p., prijs £ 99.99 ISBN 9781107197046 Kevin Broughan Equivalents of the Riemann Hypothesis Volume 2: Analytic Equivalents Cambridge University Press, 2017 xix + 491 p., prijs £ 120.00 ISBN 9781107197121 Reviewed by Pieter Moree These two volumes give a survey of conjectures equivalent to the ber theorem says that r()x asymptotically behaves as xx/log . That Riemann Hypothesis (RH). The first volume deals largely with state- is a much weaker statement and is equivalent with there being no ments of an arithmetic nature, while the second part considers zeta zeros on the line v = 1. That there are no zeros with v > 1 is more analytic equivalents. a consequence of the prime product identity for g()s . The Riemann zeta function, is defined by It would go too far here to discuss all chapters and I will limit 3 myself to some chapters that are either close to my mathematical 1 (1) g()s = / s , expertise or those discussing some of the most famous RH equiv- n = 1 n alences. Most of the criteria have their own chapter devoted to with si=+v t a complex number having real part v > 1 . It is easily them, Chapter 10 has various criteria that are discussed more brief- seen to converge for such s. By analytic continuation the Riemann ly. A nice example is Redheffer’s criterion. It states that RH holds zeta function can be uniquely defined for all s ! 1. -
The Modal Logic of Potential Infinity, with an Application to Free Choice
The Modal Logic of Potential Infinity, With an Application to Free Choice Sequences Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Ethan Brauer, B.A. ∼6 6 Graduate Program in Philosophy The Ohio State University 2020 Dissertation Committee: Professor Stewart Shapiro, Co-adviser Professor Neil Tennant, Co-adviser Professor Chris Miller Professor Chris Pincock c Ethan Brauer, 2020 Abstract This dissertation is a study of potential infinity in mathematics and its contrast with actual infinity. Roughly, an actual infinity is a completed infinite totality. By contrast, a collection is potentially infinite when it is possible to expand it beyond any finite limit, despite not being a completed, actual infinite totality. The concept of potential infinity thus involves a notion of possibility. On this basis, recent progress has been made in giving an account of potential infinity using the resources of modal logic. Part I of this dissertation studies what the right modal logic is for reasoning about potential infinity. I begin Part I by rehearsing an argument|which is due to Linnebo and which I partially endorse|that the right modal logic is S4.2. Under this assumption, Linnebo has shown that a natural translation of non-modal first-order logic into modal first- order logic is sound and faithful. I argue that for the philosophical purposes at stake, the modal logic in question should be free and extend Linnebo's result to this setting. I then identify a limitation to the argument for S4.2 being the right modal logic for potential infinity. -
Transfinite Function Interaction and Surreal Numbers
ADVANCES IN APPLIED MATHEMATICS 18, 333]350Ž. 1997 ARTICLE NO. AM960513 Transfinite Function Iteration and Surreal Numbers W. A. Beyer and J. D. Louck Theoretical Di¨ision, Los Alamos National Laboratory, Mail Stop B284, Los Alamos, New Mexico 87545 Received August 25, 1996 Louck has developed a relation between surreal numbers up to the first transfi- nite ordinal v and aspects of iterated trapezoid maps. In this paper, we present a simple connection between transfinite iterates of the inverse of the tent map and the class of all the surreal numbers. This connection extends Louck's work to all surreal numbers. In particular, one can define the arithmetic operations of addi- tion, multiplication, division, square roots, etc., of transfinite iterates by conversion of them to surreal numbers. The extension is done by transfinite induction. Inverses of other unimodal onto maps of a real interval could be considered and then the possibility exists of obtaining different structures for surreal numbers. Q 1997 Academic Press 1. INTRODUCTION In this paper, we assume the reader is familiar with the interesting topic of surreal numbers, invented by Conway and first presented in book form in Conwaywx 3 and Knuth wx 6 . In this paper we follow the development given in Gonshor's bookwx 4 which is quite different from that of Conway and Knuth. Inwx 10 , a relation was shown between surreal numbers up to the first transfinite ordinal v and aspects of iterated maps of the intervalwx 0, 2 . In this paper, we specialize the results inwx 10 to the graph of the nth iterate of the inverse tent map and extend the results ofwx 10 to all the surreal numbers. -
A Child Thinking About Infinity
A Child Thinking About Infinity David Tall Mathematics Education Research Centre University of Warwick COVENTRY CV4 7AL Young children’s thinking about infinity can be fascinating stories of extrapolation and imagination. To capture the development of an individual’s thinking requires being in the right place at the right time. When my youngest son Nic (then aged seven) spoke to me for the first time about infinity, I was fortunate to be able to tape-record the conversation for later reflection on what was happening. It proved to be a fascinating document in which he first treated infinity as a very large number and used his intuitions to think about various arithmetic operations on infinity. He also happened to know about “minus numbers” from earlier experiences with temperatures in centigrade. It was thus possible to ask him not only about arithmetic with infinity, but also about “minus infinity”. The responses were thought-provoking and amazing in their coherent relationships to his other knowledge. My research in studying infinite concepts in older students showed me that their ideas were influenced by their prior experiences. Almost always the notion of “limit” in some dynamic sense was met before the notion of one to one correspondences between infinite sets. Thus notions of “variable size” had become part of their intuition that clashed with the notion of infinite cardinals. For instance, Tall (1980) reported a student who considered that the limit of n2/n! was zero because the top is a “smaller infinity” than the bottom. It suddenly occurred to me that perhaps I could introduce Nic to the concept of cardinal infinity to see what this did to his intuitions. -
Sequences and Their Limits
Sequences and their limits c Frank Zorzitto, Faculty of Mathematics University of Waterloo The limit idea For the purposes of calculus, a sequence is simply a list of numbers x1; x2; x3; : : : ; xn;::: that goes on indefinitely. The numbers in the sequence are usually called terms, so that x1 is the first term, x2 is the second term, and the entry xn in the general nth position is the nth term, naturally. The subscript n = 1; 2; 3;::: that marks the position of the terms will sometimes be called the index. We shall deal only with real sequences, namely those whose terms are real numbers. Here are some examples of sequences. • the sequence of positive integers: 1; 2; 3; : : : ; n; : : : • the sequence of primes in their natural order: 2; 3; 5; 7; 11; ::: • the decimal sequence that estimates 1=3: :3;:33;:333;:3333;:33333;::: • a binary sequence: 0; 1; 0; 1; 0; 1;::: • the zero sequence: 0; 0; 0; 0;::: • a geometric sequence: 1; r; r2; r3; : : : ; rn;::: 1 −1 1 (−1)n • a sequence that alternates in sign: 2 ; 3 ; 4 ;:::; n ;::: • a constant sequence: −5; −5; −5; −5; −5;::: 1 2 3 4 n • an increasing sequence: 2 ; 3 ; 4 ; 5 :::; n+1 ;::: 1 1 1 1 • a decreasing sequence: 1; 2 ; 3 ; 4 ;:::; n ;::: 3 2 4 3 5 4 n+1 n • a sequence used to estimate e: ( 2 ) ; ( 3 ) ; ( 4 ) :::; ( n ) ::: 1 • a seemingly random sequence: sin 1; sin 2; sin 3;:::; sin n; : : : • the sequence of decimals that approximates π: 3; 3:1; 3:14; 3:141; 3:1415; 3:14159; 3:141592; 3:1415926; 3:14159265;::: • a sequence that lists all fractions between 0 and 1, written in their lowest form, in groups of increasing denominator with increasing numerator in each group: 1 1 2 1 3 1 2 3 4 1 5 1 2 3 4 5 6 1 3 5 7 1 2 4 5 ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;::: 2 3 3 4 4 5 5 5 5 6 6 7 7 7 7 7 7 8 8 8 8 9 9 9 9 It is plain to see that the possibilities for sequences are endless. -
Tool 44: Prime Numbers
PART IV: Cinematography & Mathematics AGE RANGE: 13-15 1 TOOL 44: PRIME NUMBERS - THE MAN WHO KNEW INFINITY Sandgärdskolan This project has been funded with support from the European Commission. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein. Educator’s Guide Title: The man who knew infinity – prime numbers Age Range: 13-15 years old Duration: 2 hours Mathematical Concepts: Prime numbers, Infinity Artistic Concepts: Movie genres, Marvel heroes, vanishing point General Objectives: This task will make you learn more about infinity. It wants you to think for yourself about the word infinity. What does it say to you? It will also show you the connection between infinity and prime numbers. Resources: This tool provides pictures and videos for you to use in your classroom. The topics addressed in these resources will also be an inspiration for you to find other materials that you might find relevant in order to personalize and give nuance to your lesson. Tips for the educator: Learning by doing has proven to be very efficient, especially with young learners with lower attention span and learning difficulties. Don’t forget to 2 always explain what each math concept is useful for, practically. Desirable Outcomes and Competences: At the end of this tool, the student will be able to: Understand prime numbers and infinity in an improved way. Explore super hero movies. Debriefing and Evaluation: Write 3 aspects that you liked about this 1. activity: 2. 3. -
Bergson's Paradox and Cantor's
Bergson's Paradox and Cantor's Doug McLellan, July 2019 \Of a wholly new action ... which does not preexist its realization in any way, not even in the form of pure possibility, [philosophers] seem to have had no inkling. Yet that is just what free action is." Here we have what may be the last genuinely new insight to date in the eternal dispute over free will and determinism: Free will is the power, not to choose among existing possibilities, but to consciously create new realities that did not subsist beforehand even virtually or abstractly. Alas, the success of the book in which Henri Bergson introduced this insight (Creative Evolution, 1907) was not enough to win it a faithful constituency, and the insight was discarded in the 1930s as vague and unworkable.1 What prompts us to revive it now are advances in mathematics that allow the notion of \newly created possibilities" to be formalized precisely. In this form Bergson's insight promises to resolve paradoxes not only of free will and determinism, but of the foundations of mathematics and physics. For it shows that they arise from the same source: mistaken belief in a \totality of all possibilities" that is fixed once and for all, that cannot grow over time. Bergson's Paradox Although it's been recapitulated many times, many ways, let us begin by recapitulating the dilemma of free will and determinism, in a particular form that we will call \Bergson's paradox." (We so name it not because Bergson phrased it precisely the way that we will, but because he phrased it in a similar enough way, and supplied the insight that we expect will resolve it.) In this form it would be more accurate to call it a dilemma of free will and any rigorous scientific theory of the world, for although scientists today are happy to give up hard determinism for quantum randomness, the theories that result are no less vulnerable to this version of the paradox. -
Basic Analysis I: Introduction to Real Analysis, Volume I
Basic Analysis I Introduction to Real Analysis, Volume I by Jiríˇ Lebl June 8, 2021 (version 5.4) 2 Typeset in LATEX. Copyright ©2009–2021 Jiríˇ Lebl This work is dual licensed under the Creative Commons Attribution-Noncommercial-Share Alike 4.0 International License and the Creative Commons Attribution-Share Alike 4.0 International License. To view a copy of these licenses, visit https://creativecommons.org/licenses/ by-nc-sa/4.0/ or https://creativecommons.org/licenses/by-sa/4.0/ or send a letter to Creative Commons PO Box 1866, Mountain View, CA 94042, USA. You can use, print, duplicate, share this book as much as you want. You can base your own notes on it and reuse parts if you keep the license the same. You can assume the license is either the CC-BY-NC-SA or CC-BY-SA, whichever is compatible with what you wish to do, your derivative works must use at least one of the licenses. Derivative works must be prominently marked as such. During the writing of this book, the author was in part supported by NSF grants DMS-0900885 and DMS-1362337. The date is the main identifier of version. The major version / edition number is raised only if there have been substantial changes. Each volume has its own version number. Edition number started at 4, that is, version 4.0, as it was not kept track of before. See https://www.jirka.org/ra/ for more information (including contact information, possible updates and errata). The LATEX source for the book is available for possible modification and customization at github: https://github.com/jirilebl/ra Contents Introduction 5 0.1 About this book ....................................5 0.2 About analysis ....................................7 0.3 Basic set theory ....................................8 1 Real Numbers 21 1.1 Basic properties ................................... -
What Will Count As Mathematics in 2100?
What will count as mathematics in 2100? Keith Devlin What is mathematics today? What is mathematics? That’s one of the most basic questions in the philosophy of mathematics. The answer has changed several times throughout history. Up to 500 B.C. or thereabouts, mathematics was—if it was anything to be given a name—the systematic use of numbers. This was the period of Egyptian, Babylonian, and early Chinese and Japanese mathematics. In those civilizations, mathematics consisted primarily of arithmetic. It was largely utilitarian, and very much of a cookbook variety. (“Do such and such to a number and you will get the answer.”) Modern mathematics, as an area of study, traces its lineage to the ancient Greeks of the period from around 500 B.C. to 300 A.D. From the perspective of what is classified as mathematics today, the ancient Greeks focused on properties of number and shape (geometry). [The word “mathematics” itself comes from the Greek for “that which is learnable.” As always when interpreting one culture or age with another, it has to be acknowledged that things often appear quite different to those within a particular culture or age than when viewed from the other.] It was with the Greeks that mathematics came into being as an identifiable discipline, and not just a collection of techniques for measuring, counting, and accounting. Greek interest in mathematics was not just utilitarian; they regarded mathematics as an intellectual pursuit having both aesthetic and religious elements. Around 500 B.C., Thales of Miletus (now part of Turkey) introduced the idea that the precisely stated assertions of mathematics could be logically proved by a formal argument. -
Definition of Integers in Math Terms
Definition Of Integers In Math Terms whileUnpraiseworthy Ernest remains and gypsiferous impeachable Kingsley and friskier. always Unsupervised send-ups unmercifully Yuri hightails and her eluting molas his so Urtext. gently Phobic that Sancho Wynton colligated work-outs very very nautically. rippingly In order are integers of an expression is, two bases of a series that case MAT 240 Algebra I Fields Definition A motto is his set F. Story problems of math problems per worksheet. What are positive integers? Integer definition is summer of nine natural numbers the negatives of these numbers or zero. Words Describing Positive And Negative Integers Worksheets. If need add a negative integer you move very many units left another example 5 6 means they start at 5 and research move 6 units to execute left 9 5 means nothing start. Definition of Number explained with there life illustrated examples Also climb the facts to discuss understand math glossary with fun math worksheet online at. Sorry if the definition in maths study of definite value is the case of which may be taken as numbers, the principal of classes. They are integers, definition of definite results in its measurement conversions, they may not allow for instance, not obey the term applies primarily to. In terms of definition which term to this property of the definitions of a point called statistics, the opposite the most. Integers and rational numbers Algebra 1 Exploring real. Is in integer variable changes and definitions in every real numbers that term is a definition. What facility an integer Quora. Load the terms. -
TME Volume 7, Numbers 2 and 3
The Mathematics Enthusiast Volume 7 Number 2 Numbers 2 & 3 Article 21 7-2010 TME Volume 7, Numbers 2 and 3 Follow this and additional works at: https://scholarworks.umt.edu/tme Part of the Mathematics Commons Let us know how access to this document benefits ou.y Recommended Citation (2010) "TME Volume 7, Numbers 2 and 3," The Mathematics Enthusiast: Vol. 7 : No. 2 , Article 21. Available at: https://scholarworks.umt.edu/tme/vol7/iss2/21 This Full Volume is brought to you for free and open access by ScholarWorks at University of Montana. It has been accepted for inclusion in The Mathematics Enthusiast by an authorized editor of ScholarWorks at University of Montana. For more information, please contact [email protected]. The Montana Mathematics Enthusiast ISSN 1551-3440 VOL. 7, NOS 2&3, JULY 2010, pp.175-462 Editor-in-Chief Bharath Sriraman, The University of Montana Associate Editors: Lyn D. English, Queensland University of Technology, Australia Simon Goodchild, University of Agder, Norway Brian Greer, Portland State University, USA Luis Moreno-Armella, Cinvestav-IPN, México International Editorial Advisory Board Mehdi Alaeiyan, Iran University of Science and Technology, Iran Miriam Amit, Ben-Gurion University of the Negev, Israel Ziya Argun, Gazi University, Turkey Ahmet Arikan, Gazi University, Turkey. Astrid Beckmann, University of Education, Schwäbisch Gmünd, Germany Raymond Bjuland, University of Stavanger, Norway Morten Blomhøj, Roskilde University, Denmark Robert Carson, Montana State University- Bozeman, USA Mohan Chinnappan, -
Surprises from Mathematics Education Research: Student (Mis)Use of Mathematical Definitions Barbara S
Surprises from Mathematics Education Research: Student (Mis)use of Mathematical Definitions Barbara S. Edwards and Michael B. Ward 1. INTRODUCTION. The authors of this paper met at a summer institute sponsored by the Oregon Collaborative for Excellence in the Preparation of Teachers (OCEPT). Edwards is a researcher in undergraduate mathematics education. Ward, a pure math- ematician teaching at an undergraduate institution, had had little exposure to math- ematics education research prior to the OCEPT program. At the institute, Edwards described to Ward the results of her Ph.D. dissertation [5] on student understanding and use of definitions in undergraduate real analysis. In that study, tasks involving the definitions of “limit” and “continuity,” for example, were problematic for some of the students. Ward’s intuitive reaction was that those words were “loaded” with conno- tations from their nonmathematical use and from their less than completely rigorous use in elementary calculus. He said, “I’ll bet students have less difficulty or, at least, different difficulties with definitions in abstract algebra. The words there, like ‘group’ and ‘coset,’ are not so loaded.” Eventually, with OCEPT support, the authors studied student understanding and use of definitions in an introductory abstract algebra course populated by undergradu- ate mathematics majors and taught by Ward. The “surprises” in the title are outcomes that surprised Ward, among others. He was surprised to see his algebra students having difficulties very similar to those of Edwards’s analysis students. (So he lost his bet.) In particular, he was surprised to see difficulties arising from the students’ understanding of the very nature of mathematical definitions, not just from the content of the defini- tions.