A Child Thinking About Infinity
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Grade 7/8 Math Circles the Scale of Numbers Introduction
Faculty of Mathematics Centre for Education in Waterloo, Ontario N2L 3G1 Mathematics and Computing Grade 7/8 Math Circles November 21/22/23, 2017 The Scale of Numbers Introduction Last week we quickly took a look at scientific notation, which is one way we can write down really big numbers. We can also use scientific notation to write very small numbers. 1 × 103 = 1; 000 1 × 102 = 100 1 × 101 = 10 1 × 100 = 1 1 × 10−1 = 0:1 1 × 10−2 = 0:01 1 × 10−3 = 0:001 As you can see above, every time the value of the exponent decreases, the number gets smaller by a factor of 10. This pattern continues even into negative exponent values! Another way of picturing negative exponents is as a division by a positive exponent. 1 10−6 = = 0:000001 106 In this lesson we will be looking at some famous, interesting, or important small numbers, and begin slowly working our way up to the biggest numbers ever used in mathematics! Obviously we can come up with any arbitrary number that is either extremely small or extremely large, but the purpose of this lesson is to only look at numbers with some kind of mathematical or scientific significance. 1 Extremely Small Numbers 1. Zero • Zero or `0' is the number that represents nothingness. It is the number with the smallest magnitude. • Zero only began being used as a number around the year 500. Before this, ancient mathematicians struggled with the concept of `nothing' being `something'. 2. Planck's Constant This is the smallest number that we will be looking at today other than zero. -
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. -
Simple Statements, Large Numbers
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln MAT Exam Expository Papers Math in the Middle Institute Partnership 7-2007 Simple Statements, Large Numbers Shana Streeks University of Nebraska-Lincoln Follow this and additional works at: https://digitalcommons.unl.edu/mathmidexppap Part of the Science and Mathematics Education Commons Streeks, Shana, "Simple Statements, Large Numbers" (2007). MAT Exam Expository Papers. 41. https://digitalcommons.unl.edu/mathmidexppap/41 This Article is brought to you for free and open access by the Math in the Middle Institute Partnership at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in MAT Exam Expository Papers by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Master of Arts in Teaching (MAT) Masters Exam Shana Streeks In partial fulfillment of the requirements for the Master of Arts in Teaching with a Specialization in the Teaching of Middle Level Mathematics in the Department of Mathematics. Gordon Woodward, Advisor July 2007 Simple Statements, Large Numbers Shana Streeks July 2007 Page 1 Streeks Simple Statements, Large Numbers Large numbers are numbers that are significantly larger than those ordinarily used in everyday life, as defined by Wikipedia (2007). Large numbers typically refer to large positive integers, or more generally, large positive real numbers, but may also be used in other contexts. Very large numbers often occur in fields such as mathematics, cosmology, and cryptography. Sometimes people refer to numbers as being “astronomically large”. However, it is easy to mathematically define numbers that are much larger than those even in astronomy. We are familiar with the large magnitudes, such as million or billion. -
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. -
Ever Heard of a Prillionaire? by Carol Castellon Do You Watch the TV Show
Ever Heard of a Prillionaire? by Carol Castellon Do you watch the TV show “Who Wants to Be a Millionaire?” hosted by Regis Philbin? Have you ever wished for a million dollars? "In today’s economy, even the millionaire doesn’t receive as much attention as the billionaire. Winners of a one-million dollar lottery find that it may not mean getting to retire, since the million is spread over 20 years (less than $3000 per month after taxes)."1 "If you count to a trillion dollars one by one at a dollar a second, you will need 31,710 years. Our government spends over three billion per day. At that rate, Washington is going through a trillion dollars in a less than one year. or about 31,708 years faster than you can count all that money!"1 I’ve heard people use names such as “zillion,” “gazillion,” “prillion,” for large numbers, and more recently I hear “Mega-Million.” It is fairly obvious that most people don’t know the correct names for large numbers. But where do we go from million? After a billion, of course, is trillion. Then comes quadrillion, quintrillion, sextillion, septillion, octillion, nonillion, and decillion. One of my favorite challenges is to have my math class continue to count by "illions" as far as they can. 6 million = 1x10 9 billion = 1x10 12 trillion = 1x10 15 quadrillion = 1x10 18 quintillion = 1x10 21 sextillion = 1x10 24 septillion = 1x10 27 octillion = 1x10 30 nonillion = 1x10 33 decillion = 1x10 36 undecillion = 1x10 39 duodecillion = 1x10 42 tredecillion = 1x10 45 quattuordecillion = 1x10 48 quindecillion = 1x10 51 -
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, -
The Never-Ending Story a Guide to the Biggest Idea in the Universe: Infinity
books and arts The never-ending story A guide to the biggest idea in the Universe: infinity. The Infinite Book: A Short Guide to the Boundless, Timeless and Endless by John D. Barrow Jonathan Cape: 2005. 328 pp. £17.99. To be TRICK SYDER IMAGES published in the US by Pantheon Books ($26). PA Simon Singh John Barrow is a wide-ranging author. A few years ago he wrote The Book of Nothing (Jonathan Cape, 2000), an exploration of zero, and now he has published The Infinite Book.Again he tackles a subject that has been previously explored by other popular- izers of science, but again he brings his charm and wit to bear to provide an account that is highly engaging and enriched with numerous literary references and dozens of illustrations and photographs. The opening chapters introduce readers to the concept of infinity through the eyes of the various philosophers who tackled the subject through the centuries.Their conflict- ing views about the nature and existence of infinity are slightly baffling,but the situation is rescued by the nineteenth-century math- ematicians who were able to make sense of the infinite realm. What emerges is a series of staggeringly brilliant and beautiful ideas, whose logic and power seem to defy com- Seeing the big picture: the patterns in Islamic tile designs can be repeated indefinitely. mon sense. For example, are all infinities equal? infinity equals infinity,and hence the number context of the Universe and the infinitely There are an infinite number of numbers of even numbers is equal to the number of small with respect to particle physics.Barrow and an infinite number of even numbers,but all numbers. -
Tetration Analytics Engine
Tetration Analytics - Network Analytics & Machine Learning Enhancing Data Center Security and Operations Mike Herbert, Principal Engineer, INSBU BRKDCN-2040 Session Abstract Huge amounts of data traverse network infrastructure on a daily basis. With the innovative big data analytics capabilities, it is possible to use rich network metrics to provide unprecedented insight into IT infrastructure. By leveraging pervasive low overhead sensors in both hardware and software, a complete view of application and network behavior can be attained in real time. In modern data center today some of the key operational and security challenges faced are understanding applications dependencies accurately, ability to generate consistent whitelist policy model and to ensure network policy compliance. This session will describe how Analytics uses unsupervised machine learning approach to collect hundreds of data points and, use advanced analytics, addresses these challenges in a scalable fashion. BRKDCN-2040 © 2017 Cisco and/or its affiliates. All rights reserved. Cisco Public 3 If this is not what you were hoping for here are some other Tetration Sessions • Tetration Analytics, the secret ingredient for every Data Center • Session ID: PSODCN-1800 • Cisco Tetration: Data Center Analytics Deployment and Use Cases • Session ID: BRKACI-2060 • Tetration API’s : • Session ID: DEVNET-2423 • Tetration Analytics - Industry's Powerful Analytics Platform • Session ID: LABACI-3020 • Inside Cisco IT: ACI & Tetration Analytics • Session ID: BRKCOC-2006 BRKDCN-2040 © 2017 Cisco and/or its affiliates. All rights reserved. Cisco Public 4 Okay what does Tetration Mean? • Tetration (or hyper-4) is the next hyperoperation after exponentiation, and is defined as iterated exponentiation • It’s bigger than a Google [sic] (Googol) • And yes the developers are a bunch of mathematical geeks BRKDCN-2040 © 2017 Cisco and/or its affiliates. -
Tetration Analytics - Network Analytics & Machine Learning Enhancing Data Center Security and Operations
Tetration Analytics - Network Analytics & Machine Learning Enhancing Data Center Security and Operations Michael Herbert Principal Engineer INSBU BRKACI-2040 Okay what does Tetration Mean? • Tetration (or hyper-4) is the next hyperoperation after exponentiation, and is defined as iterated exponentiation • It’s bigger than a Google [sic] (Googol) • And yes the developers are a bunch of mathematical geeks BRKDCN-2040 © 2017 Cisco and/or its affiliates. All rights reserved. Cisco Public 3 What if you could actually look at every process and every data packet header that has ever traversed the network without sampling? BRKDCN-2040 © 2017 Cisco and/or its affiliates. All rights reserved. Cisco Public 4 Cisco Tetration Analytics Pervasive Sensor Framework Provides correlation of data sources across entire application infrastructure Enables identification of point events and provides insight into overall systems behavior Monitors end-to-end lifecycle of application connectivity BRKDCN-2040 © 2017 Cisco and/or its affiliates. All rights reserved. Cisco Public 5 Cisco Tetration Analytics Policy Discovery and Observation APPLICATION WORKSPACES Public Cloud Private Cloud Cisco Tetration Analytics™ Application Segmentation Policy © 2017 Cisco and/or its affiliates. All rights reserved. Cisco Public Profile and Context Driven Application Segmentation 1. Real-time Asset Tagging 2. Policy Workflows 3. Policy Enforcement (Role Based and Hierarchical) Cisco Tetration Application Insights (ADM) No Need to Tie Policy + to IP Address and Cisco Tetration Sensors Tag and Label-Based Add-on Policy Port (For Example, Mail Filters) Cisco Tetration Customer Defined Platform Performs the Translation Compliance Monitoring Enforcement Public Cloud Bare Metal Virtual Cisco ACITM* Traditional Network* © 2017 Cisco and/or its affiliates. -
11. How Large Is Infinity?
General Questions 25 • last expression, you need to divide a by a sequence bn with limit 0. But when a bn goes to zero, could go to +∞, if bn > 0, or to –∞, if bn < 0, or not exist bn a at all if bn alternates. Therefore, the expression must remain undefined. 0 Mathematicians call expressions like this “indeterminate forms.” In some cases, they can be thought of as having a certain value, while in other cases, as having another value or none at all. 11. HOW LARGE IS INFINITY? The first real opportunity where even young children can experience a “sense of wonder” in a mathematical context is when they make the basic observation that counting never ends. Typically, children are fascinated by very large numbers, and so was the 9-year-old Milton Sirotta, who became famous for inventing the name googol for the number 10100 in 1920. Later on, his uncle, the mathematician Edward Kasner (1878–1955), wrote about this in a book Mathematics and the Imagination, and still later, other imagi- native young fellows named their company Google after the number googol to indicate the large amount of data handled by Internet search engines. Although the number googol is already unimaginably large, we can eas- ily think of even larger numbers, for example, googol + 1 or 10googol (which has been called googolplex), or even the factorial of googol, or googolgoogol. The process of generating larger numbers from any given number obviously has no end. Therefore, the set of integers certainly cannot be finite. If it were, then there would be a largest number, which is impossible, because for any given number we can immediately find a bigger one just by adding 1.