A Construction of the Real Numbers
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
1.1 Constructing the Real Numbers
18.095 Lecture Series in Mathematics IAP 2015 Lecture #1 01/05/2015 What is number theory? The study of numbers of course! But what is a number? • N = f0; 1; 2; 3;:::g can be defined in several ways: { Finite ordinals (0 := fg, n + 1 := n [ fng). { Finite cardinals (isomorphism classes of finite sets). { Strings over a unary alphabet (\", \1", \11", \111", . ). N is a commutative semiring: addition and multiplication satisfy the usual commu- tative/associative/distributive properties with identities 0 and 1 (and 0 annihilates). Totally ordered (as ordinals/cardinals), making it a (positive) ordered semiring. • Z = {±n : n 2 Ng.A commutative ring (commutative semiring, additive inverses). Contains Z>0 = N − f0g closed under +; × with Z = −Z>0 t f0g t Z>0. This makes Z an ordered ring (in fact, an ordered domain). • Q = fa=b : a; 2 Z; b 6= 0g= ∼, where a=b ∼ c=d if ad = bc. A field (commutative ring, multiplicative inverses, 0 6= 1) containing Z = fn=1g. Contains Q>0 = fa=b : a; b 2 Z>0g closed under +; × with Q = −Q>0 t f0g t Q>0. This makes Q an ordered field. • R is the completion of Q, making it a complete ordered field. Each of the algebraic structures N; Z; Q; R is canonical in the following sense: every non-trivial algebraic structure of the same type (ordered semiring, ordered ring, ordered field, complete ordered field) contains a copy of N; Z; Q; R inside it. 1.1 Constructing the real numbers What do we mean by the completion of Q? There are two possibilities: 1. -
MATH 304: CONSTRUCTING the REAL NUMBERS† Peter Kahn
MATH 304: CONSTRUCTING THE REAL NUMBERSy Peter Kahn Spring 2007 Contents 4 The Real Numbers 1 4.1 Sequences of rational numbers . 2 4.1.1 De¯nitions . 2 4.1.2 Examples . 6 4.1.3 Cauchy sequences . 7 4.2 Algebraic operations on sequences . 12 4.2.1 The ring S and its subrings . 12 4.2.2 Proving that C is a subring of S . 14 4.2.3 Comparing the rings with Q ................... 17 4.2.4 Taking stock . 17 4.3 The ¯eld of real numbers . 19 4.4 Ordering the reals . 26 4.4.1 The basic properties . 26 4.4.2 Density properties of the reals . 30 4.4.3 Convergent and Cauchy sequences of reals . 32 4.4.4 A brief postscript . 37 4.4.5 Optional: Exercises on the foundations of calculus . 39 4 The Real Numbers In the last section, we saw that the rational number system is incomplete inasmuch as it has gaps or \holes" where some limits of sequences should be. In this section we show how these holes can be ¯lled and show, as well, that no further gaps of this kind can occur. This leads immediately to the standard picture of the reals with which a real analysis course begins. Time permitting, we shall also discuss material y°c May 21, 2007 1 in the ¯fth and ¯nal section which shows that the rational numbers form only a tiny fragment of the set of all real numbers, of which the greatest part by far consists of the mysterious transcendentals. -
On the Rational Approximations to the Powers of an Algebraic Number: Solution of Two Problems of Mahler and Mend S France
Acta Math., 193 (2004), 175 191 (~) 2004 by Institut Mittag-Leffier. All rights reserved On the rational approximations to the powers of an algebraic number: Solution of two problems of Mahler and Mend s France by PIETRO CORVAJA and UMBERTO ZANNIER Universith di Udine Scuola Normale Superiore Udine, Italy Pisa, Italy 1. Introduction About fifty years ago Mahler [Ma] proved that if ~> 1 is rational but not an integer and if 0<l<l, then the fractional part of (~n is larger than l n except for a finite set of integers n depending on ~ and I. His proof used a p-adic version of Roth's theorem, as in previous work by Mahler and especially by Ridout. At the end of that paper Mahler pointed out that the conclusion does not hold if c~ is a suitable algebraic number, as e.g. 1 (1 + x/~ ) ; of course, a counterexample is provided by any Pisot number, i.e. a real algebraic integer c~>l all of whose conjugates different from cr have absolute value less than 1 (note that rational integers larger than 1 are Pisot numbers according to our definition). Mahler also added that "It would be of some interest to know which algebraic numbers have the same property as [the rationals in the theorem]". Now, it seems that even replacing Ridout's theorem with the modern versions of Roth's theorem, valid for several valuations and approximations in any given number field, the method of Mahler does not lead to a complete solution to his question. One of the objects of the present paper is to answer Mahler's question completely; our methods will involve a suitable version of the Schmidt subspace theorem, which may be considered as a multi-dimensional extension of the results mentioned by Roth, Mahler and Ridout. -
Be a Metric Space
2 The University of Sydney show that Z is closed in R. The complement of Z in R is the union of all the Pure Mathematics 3901 open intervals (n, n + 1), where n runs through all of Z, and this is open since every union of open sets is open. So Z is closed. Metric Spaces 2000 Alternatively, let (an) be a Cauchy sequence in Z. Choose an integer N such that d(xn, xm) < 1 for all n ≥ N. Put x = xN . Then for all n ≥ N we have Tutorial 5 |xn − x| = d(xn, xN ) < 1. But xn, x ∈ Z, and since two distinct integers always differ by at least 1 it follows that xn = x. This holds for all n > N. 1. Let X = (X, d) be a metric space. Let (xn) and (yn) be two sequences in X So xn → x as n → ∞ (since for all ε > 0 we have 0 = d(xn, x) < ε for all such that (yn) is a Cauchy sequence and d(xn, yn) → 0 as n → ∞. Prove that n > N). (i)(xn) is a Cauchy sequence in X, and 4. (i) Show that if D is a metric on the set X and f: Y → X is an injective (ii)(xn) converges to a limit x if and only if (yn) also converges to x. function then the formula d(a, b) = D(f(a), f(b)) defines a metric d on Y , and use this to show that d(m, n) = |m−1 − n−1| defines a metric Solution. -
Formal Power Series Rings, Inverse Limits, and I-Adic Completions of Rings
Formal power series rings, inverse limits, and I-adic completions of rings Formal semigroup rings and formal power series rings We next want to explore the notion of a (formal) power series ring in finitely many variables over a ring R, and show that it is Noetherian when R is. But we begin with a definition in much greater generality. Let S be a commutative semigroup (which will have identity 1S = 1) written multi- plicatively. The semigroup ring of S with coefficients in R may be thought of as the free R-module with basis S, with multiplication defined by the rule h k X X 0 0 X X 0 ( risi)( rjsj) = ( rirj)s: i=1 j=1 s2S 0 sisj =s We next want to construct a much larger ring in which infinite sums of multiples of elements of S are allowed. In order to insure that multiplication is well-defined, from now on we assume that S has the following additional property: (#) For all s 2 S, f(s1; s2) 2 S × S : s1s2 = sg is finite. Thus, each element of S has only finitely many factorizations as a product of two k1 kn elements. For example, we may take S to be the set of all monomials fx1 ··· xn : n (k1; : : : ; kn) 2 N g in n variables. For this chocie of S, the usual semigroup ring R[S] may be identified with the polynomial ring R[x1; : : : ; xn] in n indeterminates over R. We next construct a formal semigroup ring denoted R[[S]]: we may think of this ring formally as consisting of all functions from S to R, but we shall indicate elements of the P ring notationally as (possibly infinite) formal sums s2S rss, where the function corre- sponding to this formal sum maps s to rs for all s 2 S. -
Absolute Convergence in Ordered Fields
Absolute Convergence in Ordered Fields Kristine Hampton Abstract This paper reviews Absolute Convergence in Ordered Fields by Clark and Diepeveen [1]. Contents 1 Introduction 2 2 Definition of Terms 2 2.1 Field . 2 2.2 Ordered Field . 3 2.3 The Symbol .......................... 3 2.4 Sequential Completeness and Cauchy Sequences . 3 2.5 New Sequences . 4 3 Summary of Results 4 4 Proof of Main Theorem 5 4.1 Main Theorem . 5 4.2 Proof . 6 5 Further Applications 8 5.1 Infinite Series in Ordered Fields . 8 5.2 Implications for Convergence Tests . 9 5.3 Uniform Convergence in Ordered Fields . 9 5.4 Integral Convergence in Ordered Fields . 9 1 1 Introduction In Absolute Convergence in Ordered Fields [1], the authors attempt to dis- tinguish between convergence and absolute convergence in ordered fields. In particular, Archimedean and non-Archimedean fields (to be defined later) are examined. In each field, the possibilities for absolute convergence with and without convergence are considered. Ultimately, the paper [1] attempts to offer conditions on various fields that guarantee if a series is convergent or not in that field if it is absolutely convergent. The results end up exposing a reliance upon sequential completeness in a field for any statements on the behavior of convergence in relation to absolute convergence to be made, and vice versa. The paper makes a noted attempt to be readable for a variety of mathematic levels, explaining new topics and ideas that might be confusing along the way. To understand the paper, only a basic understanding of series and convergence in R is required, although having a basic understanding of ordered fields would be ideal. -
Infinitesimals Via Cauchy Sequences: Refining the Classical Equivalence
INFINITESIMALS VIA CAUCHY SEQUENCES: REFINING THE CLASSICAL EQUIVALENCE EMANUELE BOTTAZZI AND MIKHAIL G. KATZ Abstract. A refinement of the classic equivalence relation among Cauchy sequences yields a useful infinitesimal-enriched number sys- tem. Such an approach can be seen as formalizing Cauchy’s senti- ment that a null sequence “becomes” an infinitesimal. We signal a little-noticed construction of a system with infinitesimals in a 1910 publication by Giuseppe Peano, reversing his earlier endorsement of Cantor’s belittling of infinitesimals. June 2, 2021 1. Historical background Robinson developed his framework for analysis with infinitesimals in his 1966 book [1]. There have been various attempts either (1) to obtain clarity and uniformity in developing analysis with in- finitesimals by working in a version of set theory with a concept of infinitesimal built in syntactically (see e.g., [2], [3]), or (2) to define nonstandard universes in a simplified way by providing mathematical structures that would not have all the features of a Hewitt–Luxemburg-style ultrapower [4], [5], but nevertheless would suffice for basic application and possibly could be helpful in teaching. The second approach has been carried out, for example, by James Henle arXiv:2106.00229v1 [math.LO] 1 Jun 2021 in his non-nonstandard Analysis [6] (based on Schmieden–Laugwitz [7]; see also [8]), as well as by Terry Tao in his “cheap nonstandard analysis” [9]. These frameworks are based upon the identification of real sequences whenever they are eventually equal.1 A precursor of this approach is found in the work of Giuseppe Peano. In his 1910 paper [10] (see also [11]) he introduced the notion of the end (fine; pl. -
Practice Problems for the Final
Practice problems for the final 1. Show the following using just the definitions (and no theorems). (a) The function ( x2; x ≥ 0 f(x) = 0; x < 0; is differentiable on R, while f 0(x) is not differentiable at 0. Solution: For x > 0 and x < 0, the function is clearly differentiable. We check at x = 0. The difference quotient is f(x) − f(0) f(x) '(x) = = : x x So x2 '(0+) = lim '(x) = lim = 0; x!0+ x!0+ x 0 '(0−) = lim '(x) = lim = 0: x!0− x!0− x 0 Since '(0+) = '(0−), limx!0 '(x) = 0 and hence f is differentiable at 0 with f (0) = 0. So together we get ( 2x; x > 0 f 0(x) = 0; x ≤ 0: f 0(x) is again clearly differentiable for x > 0 and x < 0. To test differentiability at x = 0, we consider the difference quotient f 0(x) − f 0(0) f 0(x) (x) = = : x x Then it is easy to see that (0+) = 2 while (0−) = 0. Since (0+) 6= (0−), limx!0 (x) does not exist, and f 0 is not differentiable at x = 0. (b) The function f(x) = x3 + x is continuous but not uniformly continuous on R. Solution: We show that f is continuous at some x = a. That is given " > 0 we have to find a corresponding δ. jf(x) − f(a)j = jx3 + x − a3 − aj = j(x − a)(x2 + xa + a2) + (x − a)j = jx − ajjx2 + xa + a2 + 1j: Now suppose we pick δ < 1, then jx − aj < δ =) jxj < jaj + 1, and so jx2 + xa + a2 + 1j ≤ jxj2 + jxjjaj + a2 + 1 ≤ 3(jaj + 1)2: To see the final inequality, note that jxjjaj < (jaj + 1)jaj < (jaj + 1)2, and a2 + 1 < (jaj + 1)2. -
Solution Set for the Homework Problems
SOLUTION SET FOR THE HOMEWORK PROBLEMS Page 5. Problem 8. Prove that if x and y are real numbers, then 2xy x2 + y2. ≤ Proof. First we prove that if x is a real number, then x2 0. The product of two positive numbers is always positive, i.e., if x 0≥ and y 0, then ≥ ≥ xy 0. In particular if x 0 then x2 = x x 0. If x is negative, then x is positive,≥ hence ( x)2 ≥0. But we can conduct· ≥ the following computation− by the associativity− and≥ the commutativity of the product of real numbers: 0 ( x)2 = ( x)( x) = (( 1)x)(( 1)x) = ((( 1)x))( 1))x ≥ − − − − − − − = ((( 1)(x( 1)))x = ((( 1)( 1))x)x = (1x)x = xx = x2. − − − − The above change in bracketting can be done in many ways. At any rate, this shows that the square of any real number is non-negaitive. Now if x and y are real numbers, then so is the difference, x y which is defined to be x + ( y). Therefore we conclude that 0 (x + (−y))2 and compute: − ≤ − 0 (x + ( y))2 = (x + ( y))(x + ( y)) = x(x + ( y)) + ( y)(x + ( y)) ≤ − − − − − − = x2 + x( y) + ( y)x + ( y)2 = x2 + y2 + ( xy) + ( xy) − − − − − = x2 + y2 + 2( xy); − adding 2xy to the both sides, 2xy = 0 + 2xy (x2 + y2 + 2( xy)) + 2xy = (x2 + y2) + (2( xy) + 2xy) ≤ − − = (x2 + y2) + 0 = x2 + y2. Therefore, we conclude the inequality: 2xy x2 + y2 ≤ for every pair of real numbers x and y. ♥ 1 2SOLUTION SET FOR THE HOMEWORK PROBLEMS Page 5. -
Infinitesimals
Infinitesimals: History & Application Joel A. Tropp Plan II Honors Program, WCH 4.104, The University of Texas at Austin, Austin, TX 78712 Abstract. An infinitesimal is a number whose magnitude ex- ceeds zero but somehow fails to exceed any finite, positive num- ber. Although logically problematic, infinitesimals are extremely appealing for investigating continuous phenomena. They were used extensively by mathematicians until the late 19th century, at which point they were purged because they lacked a rigorous founda- tion. In 1960, the logician Abraham Robinson revived them by constructing a number system, the hyperreals, which contains in- finitesimals and infinitely large quantities. This thesis introduces Nonstandard Analysis (NSA), the set of techniques which Robinson invented. It contains a rigorous de- velopment of the hyperreals and shows how they can be used to prove the fundamental theorems of real analysis in a direct, natural way. (Incredibly, a great deal of the presentation echoes the work of Leibniz, which was performed in the 17th century.) NSA has also extended mathematics in directions which exceed the scope of this thesis. These investigations may eventually result in fruitful discoveries. Contents Introduction: Why Infinitesimals? vi Chapter 1. Historical Background 1 1.1. Overview 1 1.2. Origins 1 1.3. Continuity 3 1.4. Eudoxus and Archimedes 5 1.5. Apply when Necessary 7 1.6. Banished 10 1.7. Regained 12 1.8. The Future 13 Chapter 2. Rigorous Infinitesimals 15 2.1. Developing Nonstandard Analysis 15 2.2. Direct Ultrapower Construction of ∗R 17 2.3. Principles of NSA 28 2.4. Working with Hyperreals 32 Chapter 3. -
Uniform Convergence
2018 Spring MATH2060A Mathematical Analysis II 1 Notes 3. UNIFORM CONVERGENCE Uniform convergence is the main theme of this chapter. In Section 1 pointwise and uniform convergence of sequences of functions are discussed and examples are given. In Section 2 the three theorems on exchange of pointwise limits, inte- gration and differentiation which are corner stones for all later development are proven. They are reformulated in the context of infinite series of functions in Section 3. The last two important sections demonstrate the power of uniform convergence. In Sections 4 and 5 we introduce the exponential function, sine and cosine functions based on differential equations. Although various definitions of these elementary functions were given in more elementary courses, here the def- initions are the most rigorous one and all old ones should be abandoned. Once these functions are defined, other elementary functions such as the logarithmic function, power functions, and other trigonometric functions can be defined ac- cordingly. A notable point is at the end of the section, a rigorous definition of the number π is given and showed to be consistent with its geometric meaning. 3.1 Uniform Convergence of Functions Let E be a (non-empty) subset of R and consider a sequence of real-valued func- tions ffng; n ≥ 1 and f defined on E. We call ffng pointwisely converges to f on E if for every x 2 E, the sequence ffn(x)g of real numbers converges to the number f(x). The function f is called the pointwise limit of the sequence. According to the limit of sequence, pointwise convergence means, for each x 2 E, given " > 0, there is some n0(x) such that jfn(x) − f(x)j < " ; 8n ≥ n0(x) : We use the notation n0(x) to emphasis the dependence of n0(x) on " and x. -
Proof Methods and Strategy
Proof methods and Strategy Niloufar Shafiei Proof methods (review) pq Direct technique Premise: p Conclusion: q Proof by contraposition Premise: ¬q Conclusion: ¬p Proof by contradiction Premise: p ¬q Conclusion: a contradiction 1 Prove a theorem (review) How to prove a theorem? 1. Choose a proof method 2. Construct argument steps Argument: premises conclusion 2 Proof by cases Prove a theorem by considering different cases seperately To prove q it is sufficient to prove p1 p2 … pn p1q p2q … pnq 3 Exhaustive proof Exhaustive proof Number of possible cases is relatively small. A special type of proof by cases Prove by checking a relatively small number of cases 4 Exhaustive proof (example) Show that n2 2n if n is positive integer with n <3. Proof (exhaustive proof): Check possible cases n=1 1 2 n=2 4 4 5 Exhaustive proof (example) Prove that the only consecutive positive integers not exceeding 50 that are perfect powers are 8 and 9. Proof (exhaustive proof): Check possible cases Definition: a=2 1,4,9,16,25,36,49 An integer is a perfect power if it a=3 1,8,27 equals na, where a=4 1,16 a in an integer a=5 1,32 greater than 1. a=6 1 The only consecutive numbers that are perfect powers are 8 and 9. 6 Proof by cases Proof by cases must cover all possible cases. 7 Proof by cases (example) Prove that if n is an integer, then n2 n. Proof (proof by cases): Break the theorem into some cases 1.