Transcendental Numbers
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Irrational Numbers Unit 4 Lesson 6 IRRATIONAL NUMBERS
Irrational Numbers Unit 4 Lesson 6 IRRATIONAL NUMBERS Students will be able to: Understand the meanings of Irrational Numbers Key Vocabulary: • Irrational Numbers • Examples of Rational Numbers and Irrational Numbers • Decimal expansion of Irrational Numbers • Steps for representing Irrational Numbers on number line IRRATIONAL NUMBERS A rational number is a number that can be expressed as a ratio or we can say that written as a fraction. Every whole number is a rational number, because any whole number can be written as a fraction. Numbers that are not rational are called irrational numbers. An Irrational Number is a real number that cannot be written as a simple fraction or we can say cannot be written as a ratio of two integers. The set of real numbers consists of the union of the rational and irrational numbers. If a whole number is not a perfect square, then its square root is irrational. For example, 2 is not a perfect square, and √2 is irrational. EXAMPLES OF RATIONAL NUMBERS AND IRRATIONAL NUMBERS Examples of Rational Number The number 7 is a rational number because it can be written as the 7 fraction . 1 The number 0.1111111….(1 is repeating) is also rational number 1 because it can be written as fraction . 9 EXAMPLES OF RATIONAL NUMBERS AND IRRATIONAL NUMBERS Examples of Irrational Numbers The square root of 2 is an irrational number because it cannot be written as a fraction √2 = 1.4142135…… Pi(휋) is also an irrational number. π = 3.1415926535897932384626433832795 (and more...) 22 The approx. value of = 3.1428571428571.. -
Field Theory Pete L. Clark
Field Theory Pete L. Clark Thanks to Asvin Gothandaraman and David Krumm for pointing out errors in these notes. Contents About These Notes 7 Some Conventions 9 Chapter 1. Introduction to Fields 11 Chapter 2. Some Examples of Fields 13 1. Examples From Undergraduate Mathematics 13 2. Fields of Fractions 14 3. Fields of Functions 17 4. Completion 18 Chapter 3. Field Extensions 23 1. Introduction 23 2. Some Impossible Constructions 26 3. Subfields of Algebraic Numbers 27 4. Distinguished Classes 29 Chapter 4. Normal Extensions 31 1. Algebraically closed fields 31 2. Existence of algebraic closures 32 3. The Magic Mapping Theorem 35 4. Conjugates 36 5. Splitting Fields 37 6. Normal Extensions 37 7. The Extension Theorem 40 8. Isaacs' Theorem 40 Chapter 5. Separable Algebraic Extensions 41 1. Separable Polynomials 41 2. Separable Algebraic Field Extensions 44 3. Purely Inseparable Extensions 46 4. Structural Results on Algebraic Extensions 47 Chapter 6. Norms, Traces and Discriminants 51 1. Dedekind's Lemma on Linear Independence of Characters 51 2. The Characteristic Polynomial, the Trace and the Norm 51 3. The Trace Form and the Discriminant 54 Chapter 7. The Primitive Element Theorem 57 1. The Alon-Tarsi Lemma 57 2. The Primitive Element Theorem and its Corollary 57 3 4 CONTENTS Chapter 8. Galois Extensions 61 1. Introduction 61 2. Finite Galois Extensions 63 3. An Abstract Galois Correspondence 65 4. The Finite Galois Correspondence 68 5. The Normal Basis Theorem 70 6. Hilbert's Theorem 90 72 7. Infinite Algebraic Galois Theory 74 8. A Characterization of Normal Extensions 75 Chapter 9. -
Metrical Diophantine Approximation for Quaternions
This is a repository copy of Metrical Diophantine approximation for quaternions. White Rose Research Online URL for this paper: https://eprints.whiterose.ac.uk/90637/ Version: Accepted Version Article: Dodson, Maurice and Everitt, Brent orcid.org/0000-0002-0395-338X (2014) Metrical Diophantine approximation for quaternions. Mathematical Proceedings of the Cambridge Philosophical Society. pp. 513-542. ISSN 1469-8064 https://doi.org/10.1017/S0305004114000462 Reuse Items deposited in White Rose Research Online are protected by copyright, with all rights reserved unless indicated otherwise. They may be downloaded and/or printed for private study, or other acts as permitted by national copyright laws. The publisher or other rights holders may allow further reproduction and re-use of the full text version. This is indicated by the licence information on the White Rose Research Online record for the item. Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request. [email protected] https://eprints.whiterose.ac.uk/ Under consideration for publication in Math. Proc. Camb. Phil. Soc. 1 Metrical Diophantine approximation for quaternions By MAURICE DODSON† and BRENT EVERITT‡ Department of Mathematics, University of York, York, YO 10 5DD, UK (Received ; revised) Dedicated to J. W. S. Cassels. Abstract Analogues of the classical theorems of Khintchine, Jarn´ık and Jarn´ık-Besicovitch in the metrical theory of Diophantine approximation are established for quaternions by applying results on the measure of general ‘lim sup’ sets. -
On Analytic Number Theory
Lectures on Analytic Number Theory By H. Rademacher Tata Institute of Fundamental Research, Bombay 1954-55 Lectures on Analytic Number Theory By H. Rademacher Notes by K. Balagangadharan and V. Venugopal Rao Tata Institute of Fundamental Research, Bombay 1954-1955 Contents I Formal Power Series 1 1 Lecture 2 2 Lecture 11 3 Lecture 17 4 Lecture 23 5 Lecture 30 6 Lecture 39 7 Lecture 46 8 Lecture 55 II Analysis 59 9 Lecture 60 10 Lecture 67 11 Lecture 74 12 Lecture 82 13 Lecture 89 iii CONTENTS iv 14 Lecture 95 15 Lecture 100 III Analytic theory of partitions 108 16 Lecture 109 17 Lecture 118 18 Lecture 124 19 Lecture 129 20 Lecture 136 21 Lecture 143 22 Lecture 150 23 Lecture 155 24 Lecture 160 25 Lecture 165 26 Lecture 169 27 Lecture 174 28 Lecture 179 29 Lecture 183 30 Lecture 188 31 Lecture 194 32 Lecture 200 CONTENTS v IV Representation by squares 207 33 Lecture 208 34 Lecture 214 35 Lecture 219 36 Lecture 225 37 Lecture 232 38 Lecture 237 39 Lecture 242 40 Lecture 246 41 Lecture 251 42 Lecture 256 43 Lecture 261 44 Lecture 264 45 Lecture 266 46 Lecture 272 Part I Formal Power Series 1 Lecture 1 Introduction In additive number theory we make reference to facts about addition in 1 contradistinction to multiplicative number theory, the foundations of which were laid by Euclid at about 300 B.C. Whereas one of the principal concerns of the latter theory is the deconposition of numbers into prime factors, addi- tive number theory deals with the decomposition of numbers into summands. -
The Cambridge Mathematical Journal and Its Descendants: the Linchpin of a Research Community in the Early and Mid-Victorian Age ✩
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Historia Mathematica 31 (2004) 455–497 www.elsevier.com/locate/hm The Cambridge Mathematical Journal and its descendants: the linchpin of a research community in the early and mid-Victorian Age ✩ Tony Crilly ∗ Middlesex University Business School, Hendon, London NW4 4BT, UK Received 29 October 2002; revised 12 November 2003; accepted 8 March 2004 Abstract The Cambridge Mathematical Journal and its successors, the Cambridge and Dublin Mathematical Journal,and the Quarterly Journal of Pure and Applied Mathematics, were a vital link in the establishment of a research ethos in British mathematics in the period 1837–1870. From the beginning, the tension between academic objectives and economic viability shaped the often precarious existence of this line of communication between practitioners. Utilizing archival material, this paper presents episodes in the setting up and maintenance of these journals during their formative years. 2004 Elsevier Inc. All rights reserved. Résumé Dans la période 1837–1870, le Cambridge Mathematical Journal et les revues qui lui ont succédé, le Cambridge and Dublin Mathematical Journal et le Quarterly Journal of Pure and Applied Mathematics, ont joué un rôle essentiel pour promouvoir une culture de recherche dans les mathématiques britanniques. Dès le début, la tension entre les objectifs intellectuels et la rentabilité économique marqua l’existence, souvent précaire, de ce moyen de communication entre professionnels. Sur la base de documents d’archives, cet article présente les épisodes importants dans la création et l’existence de ces revues. 2004 Elsevier Inc. -
Analytic Number Theory
A course in Analytic Number Theory Taught by Barry Mazur Spring 2012 Last updated: January 19, 2014 1 Contents 1. January 244 2. January 268 3. January 31 11 4. February 2 15 5. February 7 18 6. February 9 22 7. February 14 26 8. February 16 30 9. February 21 33 10. February 23 38 11. March 1 42 12. March 6 45 13. March 8 49 14. March 20 52 15. March 22 56 16. March 27 60 17. March 29 63 18. April 3 65 19. April 5 68 20. April 10 71 21. April 12 74 22. April 17 77 Math 229 Barry Mazur Lecture 1 1. January 24 1.1. Arithmetic functions and first example. An arithmetic function is a func- tion N ! C, which we will denote n 7! c(n). For example, let rk;d(n) be the number of ways n can be expressed as a sum of d kth powers. Waring's problem asks what this looks like asymptotically. For example, we know r3;2(1729) = 2 (Ramanujan). Our aim is to derive statistics for (interesting) arithmetic functions via a study of the analytic properties of generating functions that package them. Here is a generating function: 1 X n Fc(q) = c(n)q n=1 (You can think of this as a Fourier series, where q = e2πiz.) You can retrieve c(n) as a Cauchy residue: 1 I F (q) dq c(n) = c · 2πi qn q This is the Hardy-Littlewood method. We can understand Waring's problem by defining 1 X nk fk(q) = q n=1 (the generating function for the sequence that tells you if n is a perfect kth power). -
Algebraic Numbers As Product of Powers of Transcendental Numbers
S S symmetry Article Algebraic Numbers as Product of Powers of Transcendental Numbers Pavel Trojovský Department of Mathematics, Faculty of Science, University of Hradec Králové, 500 03 Hradec Králové, Czech Republic; [email protected]; Tel.: +42-049-333-2801 Received: 17 June 2019; Accepted: 4 July 2019; Published: 8 July 2019 Abstract: The elementary symmetric functions play a crucial role in the study of zeros of non-zero polynomials in C[x], and the problem of finding zeros in Q[x] leads to the definition of algebraic and transcendental numbers. Recently, Marques studied the set of algebraic numbers in the form P(T)Q(T). In this paper, we generalize this result by showing the existence of algebraic Q (T) Qn(T) numbers which can be written in the form P1(T) 1 ··· Pn(T) for some transcendental number T, where P1, ... , Pn, Q1, ... , Qn are prescribed, non-constant polynomials in Q[x] (under weak conditions). More generally, our result generalizes results on the arithmetic nature of zw when z and w are transcendental. Keywords: Baker’s theorem; Gel’fond–Schneider theorem; algebraic number; transcendental number 1. Introduction The name “transcendental”, which comes from the Latin word “transcendˇere”, was first used for a mathematical concept by Leibniz in 1682. Transcendental numbers in the modern sense were defined by Leonhard Euler (see [1]). A complex number a is called algebraic if it is a zero of some non-zero polynomial P 2 Q[x]. Otherwise, a is transcendental. Algebraic numbers form a field, which is denoted by Q. The transcendence of e was proved by Charles Hermite [2] in 1872, and two years later Ferdinand von Lindeman [3] extended the method of Hermite‘s proof to derive that p is also transcendental. -
Proofs, Sets, Functions, and More: Fundamentals of Mathematical Reasoning, with Engaging Examples from Algebra, Number Theory, and Analysis
Proofs, Sets, Functions, and More: Fundamentals of Mathematical Reasoning, with Engaging Examples from Algebra, Number Theory, and Analysis Mike Krebs James Pommersheim Anthony Shaheen FOR THE INSTRUCTOR TO READ i For the instructor to read We should put a section in the front of the book that organizes the organization of the book. It would be the instructor section that would have: { flow chart that shows which sections are prereqs for what sections. We can start making this now so we don't have to remember the flow later. { main organization and objects in each chapter { What a Cfu is and how to use it { Why we have the proofcomment formatting and what it is. { Applications sections and what they are { Other things that need to be pointed out. IDEA: Seperate each of the above into subsections that are labeled for ease of reading but not shown in the table of contents in the front of the book. ||||||||| main organization examples: ||||||| || In a course such as this, the student comes in contact with many abstract concepts, such as that of a set, a function, and an equivalence class of an equivalence relation. What is the best way to learn this material. We have come up with several rules that we want to follow in this book. Themes of the book: 1. The book has a few central mathematical objects that are used throughout the book. 2. Each central mathematical object from theme #1 must be a fundamental object in mathematics that appears in many areas of mathematics and its applications. -
The Liouville Equation in Atmospheric Predictability
The Liouville Equation in Atmospheric Predictability Martin Ehrendorfer Institut fur¨ Meteorologie und Geophysik, Universitat¨ Innsbruck Innrain 52, A–6020 Innsbruck, Austria [email protected] 1 Introduction and Motivation It is widely recognized that weather forecasts made with dynamical models of the atmosphere are in- herently uncertain. Such uncertainty of forecasts produced with numerical weather prediction (NWP) models arises primarily from two sources: namely, from imperfect knowledge of the initial model condi- tions and from imperfections in the model formulation itself. The recognition of the potential importance of accurate initial model conditions and an accurate model formulation dates back to times even prior to operational NWP (Bjerknes 1904; Thompson 1957). In the context of NWP, the importance of these error sources in degrading the quality of forecasts was demonstrated to arise because errors introduced in atmospheric models, are, in general, growing (Lorenz 1982; Lorenz 1963; Lorenz 1993), which at the same time implies that the predictability of the atmosphere is subject to limitations (see, Errico et al. 2002). An example of the amplification of small errors in the initial conditions, or, equivalently, the di- vergence of initially nearby trajectories is given in Fig. 1, for the system discussed by Lorenz (1984). The uncertainty introduced into forecasts through uncertain initial model conditions, and uncertainties in model formulations, has been the subject of numerous studies carried out in parallel to the continuous development of NWP models (e.g., Leith 1974; Epstein 1969; Palmer 2000). In addition to studying the intrinsic predictability of the atmosphere (e.g., Lorenz 1969a; Lorenz 1969b; Thompson 1985a; Thompson 1985b), efforts have been directed at the quantification or predic- tion of forecast uncertainty that arises due to the sources of uncertainty mentioned above (see the review papers by Ehrendorfer 1997 and Palmer 2000, and Ehrendorfer 1999). -
The Tangled Tale of Phase Space David D Nolte, Purdue University
Purdue University From the SelectedWorks of David D Nolte Spring 2010 The Tangled Tale of Phase Space David D Nolte, Purdue University Available at: https://works.bepress.com/ddnolte/2/ Preview of Chapter 6: DD Nolte, Galileo Unbound (Oxford, 2018) The tangled tale of phase space David D. Nolte feature Phase space has been called one of the most powerful inventions of modern science. But its historical origins are clouded in a tangle of independent discovery and misattributions that persist today. David Nolte is a professor of physics at Purdue University in West Lafayette, Indiana. Figure 1. Phase space , a ubiquitous concept in physics, is espe- cially relevant in chaos and nonlinear dynamics. Trajectories in phase space are often plotted not in time but in space—as rst- return maps that show how trajectories intersect a region of phase space. Here, such a rst-return map is simulated by a so- called iterative Lozi mapping, (x, y) (1 + y − x/2, −x). Each color represents the multiple intersections of a single trajectory starting from dierent initial conditions. Hamiltonian Mechanics is geometry in phase space. ern physics (gure 1). The historical origins have been further —Vladimir I. Arnold (1978) obscured by overly generous attribution. In virtually every textbook on dynamics, classical or statistical, the rst refer- Listen to a gathering of scientists in a hallway or a ence to phase space is placed rmly in the hands of the French coee house, and you are certain to hear someone mention mathematician Joseph Liouville, usually with a citation of the phase space. -
Växjö University
School of Mathematics and System Engineering Reports from MSI - Rapporter från MSI Växjö University Geometrical Constructions Tanveer Sabir Aamir Muneer June MSI Report 09021 2009 Växjö University ISSN 1650-2647 SE-351 95 VÄXJÖ ISRN VXU/MSI/MA/E/--09021/--SE Tanveer Sabir Aamir Muneer Trisecting the Angle, Doubling the Cube, Squaring the Circle and Construction of n-gons Master thesis Mathematics 2009 Växjö University Abstract In this thesis, we are dealing with following four problems (i) Trisecting the angle; (ii) Doubling the cube; (iii) Squaring the circle; (iv) Construction of all regular polygons; With the help of field extensions, a part of the theory of abstract algebra, these problems seems to be impossible by using unmarked ruler and compass. First two problems, trisecting the angle and doubling the cube are solved by using marked ruler and compass, because when we use marked ruler more points are possible to con- struct and with the help of these points more figures are possible to construct. The problems, squaring the circle and Construction of all regular polygons are still im- possible to solve. iii Key-words: iv Acknowledgments We are obliged to our supervisor Per-Anders Svensson for accepting and giving us chance to do our thesis under his kind supervision. We are also thankful to our Programme Man- ager Marcus Nilsson for his work that set up a road map for us. We wish to thank Astrid Hilbert for being in Växjö and teaching us, She is really a cool, calm and knowledgeable, as an educator should. We also want to thank of our head of department and teachers who time to time supported in different subjects. -
Nine Chapters of Analytic Number Theory in Isabelle/HOL
Nine Chapters of Analytic Number Theory in Isabelle/HOL Manuel Eberl Technische Universität München 12 September 2019 + + 58 Manuel Eberl Rodrigo Raya 15 library unformalised 173 18 using analytic methods In this work: only multiplicative number theory (primes, divisors, etc.) Much of the formalised material is not particularly analytic. Some of these results have already been formalised by other people (Avigad, Harrison, Carneiro, . ) – but not in the context of a large library. What is Analytic Number Theory? Studying the multiplicative and additive structure of the integers In this work: only multiplicative number theory (primes, divisors, etc.) Much of the formalised material is not particularly analytic. Some of these results have already been formalised by other people (Avigad, Harrison, Carneiro, . ) – but not in the context of a large library. What is Analytic Number Theory? Studying the multiplicative and additive structure of the integers using analytic methods Much of the formalised material is not particularly analytic. Some of these results have already been formalised by other people (Avigad, Harrison, Carneiro, . ) – but not in the context of a large library. What is Analytic Number Theory? Studying the multiplicative and additive structure of the integers using analytic methods In this work: only multiplicative number theory (primes, divisors, etc.) Some of these results have already been formalised by other people (Avigad, Harrison, Carneiro, . ) – but not in the context of a large library. What is Analytic Number Theory? Studying the multiplicative and additive structure of the integers using analytic methods In this work: only multiplicative number theory (primes, divisors, etc.) Much of the formalised material is not particularly analytic.