Approximating Diffeomorphisms by Elements of Thompson's Groups F
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Elementary Number Theory and Methods of Proof
CHAPTER 4 ELEMENTARY NUMBER THEORY AND METHODS OF PROOF Copyright © Cengage Learning. All rights reserved. SECTION 4.4 Direct Proof and Counterexample IV: Division into Cases and the Quotient-Remainder Theorem Copyright © Cengage Learning. All rights reserved. Direct Proof and Counterexample IV: Division into Cases and the Quotient-Remainder Theorem The quotient-remainder theorem says that when any integer n is divided by any positive integer d, the result is a quotient q and a nonnegative remainder r that is smaller than d. 3 Example 1 – The Quotient-Remainder Theorem For each of the following values of n and d, find integers q and r such that and a. n = 54, d = 4 b. n = –54, d = 4 c. n = 54, d = 70 Solution: a. b. c. 4 div and mod 5 div and mod A number of computer languages have built-in functions that enable you to compute many values of q and r for the quotient-remainder theorem. These functions are called div and mod in Pascal, are called / and % in C and C++, are called / and % in Java, and are called / (or \) and mod in .NET. The functions give the values that satisfy the quotient-remainder theorem when a nonnegative integer n is divided by a positive integer d and the result is assigned to an integer variable. 6 div and mod However, they do not give the values that satisfy the quotient-remainder theorem when a negative integer n is divided by a positive integer d. 7 div and mod For instance, to compute n div d for a nonnegative integer n and a positive integer d, you just divide n by d and ignore the part of the answer to the right of the decimal point. -
Algebraic Properties of the Richard Thompson's Group F
ALGEBRAIC PROPERTIES OF THE RICHARD THOMPSON’S GROUP F AND ITS APPLICATIONS IN CRYPTOGRAPHY A THESIS SUBMITTED TO THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES OF MIDDLE EAST TECHNICAL UNIVERSITY BY HAKAN YETER IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE IN MATHEMATICS FEBRUARY 2021 Approval of the thesis: ALGEBRAIC PROPERTIES OF THE RICHARD THOMPSON’S GROUP F AND ITS APPLICATIONS IN CRYPTOGRAPHY submitted by HAKAN YETER in partial fulfillment of the requirements for the de- gree of Master of Science in Mathematics Department, Middle East Technical University by, Prof. Dr. Halil Kalıpçılar Dean, Graduate School of Natural and Applied Sciences Prof. Dr. Yıldıray Ozan Head of Department, Mathematics Assoc. Prof. Dr. Mustafa Gökhan Benli Supervisor, Mathematics Department, METU Examining Committee Members: Assoc. Prof. Dr. Fatih Sulak Mathematics Department, Atilim University Assoc. Prof. Dr. Mustafa Gökhan Benli Mathematics Department, METU Assist. Prof. Dr. Burak Kaya Mathematics Department, METU Date: I hereby declare that all information in this document has been obtained and presented in accordance with academic rules and ethical conduct. I also declare that, as required by these rules and conduct, I have fully cited and referenced all material and results that are not original to this work. Name, Surname: Hakan Yeter Signature : iv ABSTRACT ALGEBRAIC PROPERTIES OF THE RICHARD THOMPSON’S GROUP F AND ITS APPLICATIONS IN CRYPTOGRAPHY Yeter, Hakan M.S., Department of Mathematics Supervisor: Assoc. Prof. Dr. Mustafa Gökhan Benli February 2021, 69 pages Thompson’s groups F; T and V , especially F , are widely studied groups in group theory. -
The Role of the Interval Domain in Modern Exact Real Airthmetic
The Role of the Interval Domain in Modern Exact Real Airthmetic Andrej Bauer Iztok Kavkler Faculty of Mathematics and Physics University of Ljubljana, Slovenia Domains VIII & Computability over Continuous Data Types Novosibirsk, September 2007 Teaching theoreticians a lesson Recently I have been told by an anonymous referee that “Theoreticians do not like to be taught lessons.” and by a friend that “You should stop competing with programmers.” In defiance of this advice, I shall talk about the lessons I learned, as a theoretician, in programming exact real arithmetic. The spectrum of real number computation slow fast Formally verified, Cauchy sequences iRRAM extracted from streams of signed digits RealLib proofs floating point Moebius transformtions continued fractions Mathematica "theoretical" "practical" I Common features: I Reals are represented by successive approximations. I Approximations may be computed to any desired accuracy. I State of the art, as far as speed is concerned: I iRRAM by Norbert Muller,¨ I RealLib by Branimir Lambov. What makes iRRAM and ReaLib fast? I Reals are represented by sequences of dyadic intervals (endpoints are rationals of the form m/2k). I The approximating sequences need not be nested chains of intervals. I No guarantee on speed of converge, but arbitrarily fast convergence is possible. I Previous approximations are not stored and not reused when the next approximation is computed. I Each next approximation roughly doubles the amount of work done. The theory behind iRRAM and RealLib I Theoretical models used to design iRRAM and RealLib: I Type Two Effectivity I a version of Real RAM machines I Type I representations I The authors explicitly reject domain theory as a suitable computational model. -
Introduction to Uncertainties (Prepared for Physics 15 and 17)
Introduction to Uncertainties (prepared for physics 15 and 17) Average deviation. When you have repeated the same measurement several times, common sense suggests that your “best” result is the average value of the numbers. We still need to know how “good” this average value is. One measure is called the average deviation. The average deviation or “RMS deviation” of a data set is the average value of the absolute value of the differences between the individual data numbers and the average of the data set. For example if the average is 23.5cm/s, and the average deviation is 0.7cm/s, then the number can be expressed as (23.5 ± 0.7) cm/sec. Rule 0. Numerical and fractional uncertainties. The uncertainty in a quantity can be expressed in numerical or fractional forms. Thus in the above example, ± 0.7 cm/sec is a numerical uncertainty, but we could also express it as ± 2.98% , which is a fraction or %. (Remember, %’s are hundredths.) Rule 1. Addition and subtraction. If you are adding or subtracting two uncertain numbers, then the numerical uncertainty of the sum or difference is the sum of the numerical uncertainties of the two numbers. For example, if A = 3.4± .5 m and B = 6.3± .2 m, then A+B = 9.7± .7 m , and A- B = - 2.9± .7 m. Notice that the numerical uncertainty is the same in these two cases, but the fractional uncertainty is very different. Rule2. Multiplication and division. If you are multiplying or dividing two uncertain numbers, then the fractional uncertainty of the product or quotient is the sum of the fractional uncertainties of the two numbers. -
Unit 6: Multiply & Divide Fractions Key Words to Know
Unit 6: Multiply & Divide Fractions Learning Targets: LT 1: Interpret a fraction as division of the numerator by the denominator (a/b = a ÷ b) LT 2: Solve word problems involving division of whole numbers leading to answers in the form of fractions or mixed numbers, e.g. by using visual fraction models or equations to represent the problem. LT 3: Apply and extend previous understanding of multiplication to multiply a fraction or whole number by a fraction. LT 4: Interpret the product (a/b) q ÷ b. LT 5: Use a visual fraction model. Conversation Starters: Key Words § How are fractions like division problems? (for to Know example: If 9 people want to shar a 50-lb *Fraction sack of rice equally by *Numerator weight, how many pounds *Denominator of rice should each *Mixed number *Improper fraction person get?) *Product § 3 pizzas at 10 slices each *Equation need to be divided by 14 *Division friends. How many pieces would each friend receive? § How can a model help us make sense of a problem? Fractions as Division Students will interpret a fraction as division of the numerator by the { denominator. } What does a fraction as division look like? How can I support this Important Steps strategy at home? - Frac&ons are another way to Practice show division. https://www.khanacademy.org/math/cc- - Fractions are equal size pieces of a fifth-grade-math/cc-5th-fractions-topic/ whole. tcc-5th-fractions-as-division/v/fractions- - The numerator becomes the as-division dividend and the denominator becomes the divisor. Quotient as a Fraction Students will solve real world problems by dividing whole numbers that have a quotient resulting in a fraction. -
Dyadic Rationals and Surreal Number Theory C
IOSR Journal of Mathematics (IOSR-JM) e-ISSN: 2278-5728, p-ISSN: 2319-765X. Volume 16, Issue 5 Ser. IV (Sep. – Oct. 2020), PP 35-43 www.iosrjournals.org Dyadic Rationals and Surreal Number Theory C. Avalos-Ramos C.U.C.E.I. Universidad de Guadalajara, Guadalajara, Jalisco, México J. A. Félix-Algandar Facultad de Ciencias Físico-Matemáticas de la Universidad Autónoma de Sinaloa, 80010, Culiacán, Sinaloa, México. J. A. Nieto Facultad de Ciencias Físico-Matemáticas de la Universidad Autónoma de Sinaloa, 80010, Culiacán, Sinaloa, México. Abstract We establish a number of properties of the dyadic rational numbers associated with surreal number theory. In particular, we show that a two parameter function of dyadic rationals can give all the trees of n-days in surreal number formalism. --------------------------------------------------------------------------------------------------------------------------------------- Date of Submission: 07-10-2020 Date of Acceptance: 22-10-2020 --------------------------------------------------------------------------------------------------------------------------------------- I. Introduction In mathematics, from number theory history [1], one learns that historically, roughly speaking, the starting point was the natural numbers N and after a centuries of though evolution one ends up with the real numbers from which one constructs the differential and integral calculus. Surprisingly in 1973 Conway [2] (see also Ref. [3]) developed the surreal numbers structure which contains no only the real numbers , but also the hypereals and other numerical structures. Consider the set (1) and call and the left and right sets of , respectively. Surreal numbers are defined in terms of two axioms: Axiom 1. Every surreal number corresponds to two sets and of previously created numbers, such that no member of the left set is greater or equal to any member of the right set . -
Division Into Cases and the Quotient-Remainder Theorem
4.4 Direct Proof and Counterexample IV: Division into Cases and the Quotient-Remainder Theorem 4.4 Quotient-Remainder Theorem 1 / 4 1 n = 34 and d = 6. 2 n = −34 and d = 6. Examples For each of the following values of n and d, find integers q and r such that n = dq + r and 0 ≤ r < d. The Quotient-Remainder Theorem Theorem Given any integer n and positive integer d, there exist unique integers q and r such that n = dq + r and 0 ≤ r < d: 4.4 Quotient-Remainder Theorem 2 / 4 2 n = −34 and d = 6. The Quotient-Remainder Theorem Theorem Given any integer n and positive integer d, there exist unique integers q and r such that n = dq + r and 0 ≤ r < d: Examples For each of the following values of n and d, find integers q and r such that n = dq + r and 0 ≤ r < d. 1 n = 34 and d = 6. 4.4 Quotient-Remainder Theorem 2 / 4 The Quotient-Remainder Theorem Theorem Given any integer n and positive integer d, there exist unique integers q and r such that n = dq + r and 0 ≤ r < d: Examples For each of the following values of n and d, find integers q and r such that n = dq + r and 0 ≤ r < d. 1 n = 34 and d = 6. 2 n = −34 and d = 6. 4.4 Quotient-Remainder Theorem 2 / 4 1 Compute 33 div 9 and 33 mod 9 (by hand and Python). 2 Keeping in mind which years are leap years, what day of the week will be 1 year from today? 3 Suppose that m is an integer. -
Dyadic Polygons∗
May 18, 2011 15:21 WSPC/S0218-1967 132-IJAC S0218196711006248 International Journal of Algebra and Computation Vol. 21, No. 3 (2011) 387–408 c World Scientific Publishing Company DOI: 10.1142/S0218196711006248 DYADIC POLYGONS∗ K. MATCZAK Faculty of Civil Engineering, Mechanics and Petrochemistry in Plock Warsaw University of Technology 09-400 Plock, Poland [email protected] A. B. ROMANOWSKA Faculty of Mathematics and Information Science Warsaw University of Technology 00-661 Warsaw, Poland [email protected] J. D. H. SMITH Department of Mathematics Iowa State University, Ames, Iowa, 50011, USA [email protected] Received 20 November 2009 Revised 26 August 2010 Communicated by R. McKenzie Dyadic rationals are rationals whose denominator is a power of 2. Dyadic triangles and dyadic polygons are, respectively, defined as the intersections with the dyadic plane of a triangle or polygon in the real plane whose vertices lie in the dyadic plane. The one-dimensional analogs are dyadic intervals. Algebraically, dyadic polygons carry the structure of a commutative, entropic and idempotent algebra under the binary operation of arithmetic mean. In this paper, dyadic intervals and triangles are classified to within affine or algebraic isomorphism, and dyadic polygons are shown to be finitely generated as algebras. The auxiliary results include a form of Pythagoras’ theorem for dyadic affine geometry. Keywords: Affine space; convex set; polygon; polytope; commutative; binary; entropic mode; arithmetic mean. Mathematics Subject Classification: 20N02, 52C05 ∗Research was supported by the Warsaw University of Technology under grant number 504G/1120/0054/000. Part of the work on this paper was completed during several visits of the second author to Iowa State University, Ames, Iowa. -
On the Walsh Functions(*)
ON THE WALSH FUNCTIONS(*) BY N. J. FINE Table of Contents 1. Introduction. 372 2. The dyadic group. 376 3. Expansions of certain functions. 380 4. Fourier coefficients. 382 5. Lebesgue constants. 385 6. Convergence. 391 7. Summability. 395 8. On certain sums. 399 9. Uniqueness and localization. 402 1. Introduction. The system of orthogonal functions introduced by Rade- macher [6](2) has been the subject of a great deal of study. This system is not a complete one. Its completion was effected by Walsh [7], who studied some of its Fourier properties, such as convergence, summability, and so on. Others, notably Kaczmarz [3], Steinhaus [4], Paley [S], have studied various aspects of the Walsh system. Walsh has pointed out the great similarity be- tween this system and the trigonometric system. It is convenient, in defining the functions of the Walsh system, to follow Paley's modification. The Rademacher functions are defined by *»(*) = 1 (0 g x < 1/2), *»{«) = - 1 (1/2 á * < 1), <¡>o(%+ 1) = *o(«), *»(*) = 0o(2"x) (w = 1, 2, • • ■ ). The Walsh functions are then given by (1-2) to(x) = 1, Tpn(x) = <t>ni(x)<t>ni(x) ■ ■ ■ 4>nr(x) for » = 2"1 + 2n2+ • • • +2"r, where the integers »¿ are uniquely determined by «i+i<«¿. Walsh proves that {^„(x)} form a complete orthonormal set. Every periodic function f(x) which is integrable in the sense of Lebesgue on (0, 1) will have associated with it a (Walsh-) Fourier series (1.3) /(*) ~ Co+ ciipi(x) + crf/iix) + • • • , where the coefficients are given by Presented to the Society, August 23, 1946; received by the editors February 13, 1948. -
Eureka Math™ Tips for Parents Module 2
Grade 6 Eureka Math™ Tips for Parents Module 2 The chart below shows the relationships between various fractions and may be a great Key Words tool for your child throughout this module. Greatest Common Factor In this 19-lesson module, students complete The greatest common factor of two whole numbers (not both zero) is the their understanding of the four operations as they study division of whole numbers, division greatest whole number that is a by a fraction, division of decimals and factor of each number. For operations on multi-digit decimals. This example, the GCF of 24 and 36 is 12 expanded understanding serves to complete because when all of the factors of their study of the four operations with positive 24 and 36 are listed, the largest rational numbers, preparing students for factor they share is 12. understanding, locating, and ordering negative rational numbers and working with algebraic Least Common Multiple expressions. The least common multiple of two whole numbers is the least whole number greater than zero that is a What Came Before this Module: multiple of each number. For Below is an example of how a fraction bar model can be used to represent the Students added, subtracted, and example, the LCM of 4 and 6 is 12 quotient in a division problem. multiplied fractions and decimals (to because when the multiples of 4 and the hundredths place). They divided a 6 are listed, the smallest or first unit fraction by a non-zero whole multiple they share is 12. number as well as divided a whole number by a unit fraction. -
A Computable Absolutely Normal Liouville Number
MATHEMATICS OF COMPUTATION Volume 84, Number 296, November 2015, Pages 2939–2952 http://dx.doi.org/10.1090/mcom/2964 Article electronically published on April 24, 2015 A COMPUTABLE ABSOLUTELY NORMAL LIOUVILLE NUMBER VERONICA´ BECHER, PABLO ARIEL HEIBER, AND THEODORE A. SLAMAN Abstract. We give an algorithm that computes an absolutely normal Liou- ville number. 1. The main result The set of Liouville numbers is {x ∈ R \ Q : ∀k ∈ N, ∃q ∈ N,q>1and||qx|| <q−k} where ||x|| =min{|x−m| : m ∈ Z} is the distance of a real number x to the nearest −k! integer and other notation is as usual. Liouville’s constant, k≥1 10 ,isthe standard example of a Liouville number. Though uncountable, the set of Liouville numbers is small, in fact, it is null, both in Lebesgue measure and in Hausdorff dimension (see [6]). We say that a base is an integer s greater than or equal to 2. A real number x is normal to base s if the sequence (sjx : j ≥ 0) is uniformly distributed in the unit interval modulo one. By Weyl’s Criterion [11], x is normal to base s if and only if certain harmonic sums associated with (sjx : j ≥ 0) grow slowly. Absolute normality is normality to every base. Bugeaud [6] established the existence of absolutely normal Liouville numbers by means of an almost-all argument for an appropriate measure due to Bluhm [3, 4]. The support of this measure is a perfect set, which we call Bluhm’s fractal, all of whose irrational elements are Liouville numbers. -
Interpolated Free Group Factors
Pacific Journal of Mathematics INTERPOLATED FREE GROUP FACTORS KENNETH JAY DYKEMA Volume 163 No. 1 March 1994 PACIFIC JOURNAL OF MATHEMATICS Vol. 163, No. 1, 1994 INTERPOLATED FREE GROUP FACTORS KEN DYKEMA The interpolated free group factors L(¥r) for 1 < r < oo (also defined by F. Radulescu) are given another (but equivalent) definition as well as proofs of their properties with respect to compression by projections and free products. In order to prove the addition formula for free products, algebraic techniques are developed which allow us to show R*R*ί L(¥2) where R is the hyperfinite Hi -factor. Introduction. The free group factors L(Fn) for n — 2, 3, ... , oo (introduced in [4]) have recently been extensively studied [11, 2, 5, 6, 7] using Voiculescu's theory of freeness in noncommutative prob- ability spaces (see [8, 9, 10, 11, 12, 13], especially the latter for an overview). One hopes to eventually be able to solve the isomorphism question, first raised by R. V. Kadison of whether L(Fn) = L(Fm) for n Φ m. In [7], F. Radulescu introduced Hi -factors L(Fr) for 1 < r < oo, equalling the free group factor L(¥n) when r = n e N\{0, 1} and satisfying (1) L(FΓ) * L(FrO = L(FW.) (1< r, r' < oo) and (2) L(¥r)γ = L (V(l + ^)) (Kr<oo, 0<y<oo), where for a II i -factor <^f, J?y means the algebra [4] defined as fol- lows: for 0 < γ < 1, ^y = p^p, where p e «/# is a self adjoint pro- jection of trace γ for γ = n = 2, 3, ..