Recursively Abundant and Recursively Perfect Numbers
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Arithmetic Equivalence and Isospectrality
ARITHMETIC EQUIVALENCE AND ISOSPECTRALITY ANDREW V.SUTHERLAND ABSTRACT. In these lecture notes we give an introduction to the theory of arithmetic equivalence, a notion originally introduced in a number theoretic setting to refer to number fields with the same zeta function. Gassmann established a direct relationship between arithmetic equivalence and a purely group theoretic notion of equivalence that has since been exploited in several other areas of mathematics, most notably in the spectral theory of Riemannian manifolds by Sunada. We will explicate these results and discuss some applications and generalizations. 1. AN INTRODUCTION TO ARITHMETIC EQUIVALENCE AND ISOSPECTRALITY Let K be a number field (a finite extension of Q), and let OK be its ring of integers (the integral closure of Z in K). The Dedekind zeta function of K is defined by the Dirichlet series X s Y s 1 ζK (s) := N(I)− = (1 N(p)− )− I OK p − ⊆ where the sum ranges over nonzero OK -ideals, the product ranges over nonzero prime ideals, and N(I) := [OK : I] is the absolute norm. For K = Q the Dedekind zeta function ζQ(s) is simply the : P s Riemann zeta function ζ(s) = n 1 n− . As with the Riemann zeta function, the Dirichlet series (and corresponding Euler product) defining≥ the Dedekind zeta function converges absolutely and uniformly to a nonzero holomorphic function on Re(s) > 1, and ζK (s) extends to a meromorphic function on C and satisfies a functional equation, as shown by Hecke [25]. The Dedekind zeta function encodes many features of the number field K: it has a simple pole at s = 1 whose residue is intimately related to several invariants of K, including its class number, and as with the Riemann zeta function, the zeros of ζK (s) are intimately related to the distribution of prime ideals in OK . -
Density Theorems for Reciprocity Equivalences. Thomas Carrere Palfrey Louisiana State University and Agricultural & Mechanical College
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Louisiana State University Louisiana State University LSU Digital Commons LSU Historical Dissertations and Theses Graduate School 1989 Density Theorems for Reciprocity Equivalences. Thomas Carrere Palfrey Louisiana State University and Agricultural & Mechanical College Follow this and additional works at: https://digitalcommons.lsu.edu/gradschool_disstheses Recommended Citation Palfrey, Thomas Carrere, "Density Theorems for Reciprocity Equivalences." (1989). LSU Historical Dissertations and Theses. 4799. https://digitalcommons.lsu.edu/gradschool_disstheses/4799 This Dissertation is brought to you for free and open access by the Graduate School at LSU Digital Commons. It has been accepted for inclusion in LSU Historical Dissertations and Theses by an authorized administrator of LSU Digital Commons. For more information, please contact [email protected]. INFORMATION TO USERS The most advanced technology has been used to photo graph and reproduce this manuscript from the microfilm master. UMI films the text directly from the original or copy submitted. Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type of computer printer. The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleedthrough, substandard margins, and improper alignment can adversely affect reproduction. In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion. Oversize materials (e.g., maps, drawings, charts) are re produced by sectioning the original, beginning at the upper left-hand corner and continuing from left to right in equal sections with small overlaps. -
4 L-Functions
Further Number Theory G13FNT cw ’11 4 L-functions In this chapter, we will use analytic tools to study prime numbers. We first start by giving a new proof that there are infinitely many primes and explain what one can say about exactly “how many primes there are”. Then we will use the same tools to proof Dirichlet’s theorem on primes in arithmetic progressions. 4.1 Riemann’s zeta-function and its behaviour at s = 1 Definition. The Riemann zeta function ζ(s) is defined by X 1 1 1 1 1 ζ(s) = = + + + + ··· . ns 1s 2s 3s 4s n>1 The series converges (absolutely) for all s > 1. Remark. The series also converges for complex s provided that Re(s) > 1. 2 4 P 1 Example. From the last chapter, ζ(2) = π /6, ζ(4) = π /90. But ζ(1) is not defined since n diverges. However we can still describe the behaviour of ζ(s) as s & 1 (which is my notation for s → 1+, i.e. s > 1 and s → 1). Proposition 4.1. lim (s − 1) · ζ(s) = 1. s&1 −s R n+1 1 −s Proof. Summing the inequality (n + 1) < n xs dx < n for n > 1 gives Z ∞ 1 1 ζ(s) − 1 < s dx = < ζ(s) 1 x s − 1 and hence 1 < (s − 1)ζ(s) < s; now let s & 1. Corollary 4.2. log ζ(s) lim = 1. s&1 1 log s−1 Proof. Write log ζ(s) log(s − 1)ζ(s) 1 = 1 + 1 log s−1 log s−1 and let s & 1. -
2020 Chapter Competition Solutions
2020 Chapter Competition Solutions Are you wondering how we could have possibly thought that a Mathlete® would be able to answer a particular Sprint Round problem without a calculator? Are you wondering how we could have possibly thought that a Mathlete would be able to answer a particular Target Round problem in less 3 minutes? Are you wondering how we could have possibly thought that a particular Team Round problem would be solved by a team of only four Mathletes? The following pages provide solutions to the Sprint, Target and Team Rounds of the 2020 MATHCOUNTS® Chapter Competition. These solutions provide creative and concise ways of solving the problems from the competition. There are certainly numerous other solutions that also lead to the correct answer, some even more creative and more concise! We encourage you to find a variety of approaches to solving these fun and challenging MATHCOUNTS problems. Special thanks to solutions author Howard Ludwig for graciously and voluntarily sharing his solutions with the MATHCOUNTS community. 2020 Chapter Competition Sprint Round 1. Each hour has 60 minutes. Therefore, 4.5 hours has 4.5 × 60 minutes = 45 × 6 minutes = 270 minutes. 2. The ratio of apples to oranges is 5 to 3. Therefore, = , where a represents the number of apples. So, 5 3 = 5 × 9 = 45 = = . Thus, apples. 3 9 45 3 3. Substituting for x and y yields 12 = 12 × × 6 = 6 × 6 = . 1 4. The minimum Category 4 speed is 130 mi/h2. The maximum Category 1 speed is 95 mi/h. Absolute difference is |130 95| mi/h = 35 mi/h. -
Jeff Connor IDEAL CONVERGENCE GENERATED by DOUBLE
DEMONSTRATIO MATHEMATICA Vol. 49 No 1 2016 Jeff Connor IDEAL CONVERGENCE GENERATED BY DOUBLE SUMMABILITY METHODS Communicated by J. Wesołowski Abstract. The main result of this note is that if I is an ideal generated by a regular double summability matrix summability method T that is the product of two nonnegative regular matrix methods for single sequences, then I-statistical convergence and convergence in I-density are equivalent. In particular, the method T generates a density µT with the additive property (AP) and hence, the additive property for null sets (APO). The densities used to generate statistical convergence, lacunary statistical convergence, and general de la Vallée-Poussin statistical convergence are generated by these types of double summability methods. If a matrix T generates a density with the additive property then T -statistical convergence, convergence in T -density and strong T -summabilty are equivalent for bounded sequences. An example is given to show that not every regular double summability matrix generates a density with additve property for null sets. 1. Introduction The notions of statistical convergence and convergence in density for sequences has been in the literature, under different guises, since the early part of the last century. The underlying generalization of sequential convergence embodied in the definition of convergence in density or statistical convergence has been used in the theory of Fourier analysis, ergodic theory, and number theory, usually in connection with bounded strong summability or convergence in density. Statistical convergence, as it has recently been investigated, was defined by Fast in 1951 [9], who provided an alternate proof of a result of Steinhaus [23]. -
Natural Density and the Quantifier'most'
Natural Density and the Quantifier “Most” Sel¸cuk Topal and Ahmet C¸evik Abstract. This paper proposes a formalization of the class of sentences quantified by most, which is also interpreted as proportion of or ma- jority of depending on the domain of discourse. We consider sentences of the form “Most A are B”, where A and B are plural nouns and the interpretations of A and B are infinite subsets of N. There are two widely used semantics for Most A are B: (i) C(A ∩ B) > C(A \ B) C(A) and (ii) C(A ∩ B) > , where C(X) denotes the cardinality of a 2 given finite set X. Although (i) is more descriptive than (ii), it also produces a considerable amount of insensitivity for certain sets. Since the quantifier most has a solid cardinal behaviour under the interpre- tation majority and has a slightly more statistical behaviour under the interpretation proportional of, we consider an alternative approach in deciding quantity-related statements regarding infinite sets. For this we introduce a new semantics using natural density for sentences in which interpretations of their nouns are infinite subsets of N, along with a list of the axiomatization of the concept of natural density. In other words, we take the standard definition of the semantics of most but define it as applying to finite approximations of infinite sets computed to the limit. Mathematics Subject Classification (2010). 03B65, 03C80, 11B05. arXiv:1901.10394v2 [math.LO] 14 Mar 2019 Keywords. Logic of natural languages; natural density; asymptotic den- sity; arithmetic progression; syllogistic; most; semantics; quantifiers; car- dinality. -
PRIME-PERFECT NUMBERS Paul Pollack [email protected] Carl
PRIME-PERFECT NUMBERS Paul Pollack Department of Mathematics, University of Illinois, Urbana, Illinois 61801, USA [email protected] Carl Pomerance Department of Mathematics, Dartmouth College, Hanover, New Hampshire 03755, USA [email protected] In memory of John Lewis Selfridge Abstract We discuss a relative of the perfect numbers for which it is possible to prove that there are infinitely many examples. Call a natural number n prime-perfect if n and σ(n) share the same set of distinct prime divisors. For example, all even perfect numbers are prime-perfect. We show that the count Nσ(x) of prime-perfect numbers in [1; x] satisfies estimates of the form c= log log log x 1 +o(1) exp((log x) ) ≤ Nσ(x) ≤ x 3 ; as x ! 1. We also discuss the analogous problem for the Euler function. Letting N'(x) denote the number of n ≤ x for which n and '(n) share the same set of prime factors, we show that as x ! 1, x1=2 x7=20 ≤ N (x) ≤ ; where L(x) = xlog log log x= log log x: ' L(x)1=4+o(1) We conclude by discussing some related problems posed by Harborth and Cohen. 1. Introduction P Let σ(n) := djn d be the sum of the proper divisors of n. A natural number n is called perfect if σ(n) = 2n and, more generally, multiply perfect if n j σ(n). The study of such numbers has an ancient pedigree (surveyed, e.g., in [5, Chapter 1] and [28, Chapter 1]), but many of the most interesting problems remain unsolved. -
L-Functions and Densities
MATH 776 APPLICATIONS: L-FUNCTIONS AND DENSITIES ANDREW SNOWDEN 1. Dirichlet series P an A Dirichlet series is a series of the form n≥1 ns where the an are complex numbers. Q −s −1 An Euler product is a product of the form p fp(p ) , where the product is over prime numbers p and fp(T ) is a polynomial (called the Euler factor at p) with constant term 1. One can formally expand an Euler product to obtain a Dirichlet series. A Dirichlet series admits an Euler product if and only if an is a multiplicative function of n (i.e., anm = anam for (n; m) = 1) and n 7! apn satisfies a linear recursion for each prime p. P 1 Example 1.1. The Riemann zeta function is ζ(s) = n≥1 ns . It admits the Euler Q −s −1 product ζ(s) = p(1 − p ) . Example 1.2. Let K be a number field. The Dedekind zeta function of K is ζK (s) = P 1 a N(a)−s , where the sum is over all integral ideals a. Note that this is indeed a Dirichlet P an series, as it can be written in the form n≥1 ns where an is the number of ideals of norm n. Q −s −1 It admits the Euler product p(1 − N(p) ) , where the product is over all prime ideals. Q −s −1 Q f(pjp) Note this this can be written as p fp(p ) , where fp(T ) = pjp(1 − T ) and f(pjp) denotes the degree of the residue field extension, and thus indeed fits our definition of Euler product. -
Newsletter No. 31 March 2004
Newsletter No. 31 March 2004 Welcome to the second newsletter of 2004. We have lots of goodies for you this month so let's get under way. Maths is commonly said to be useful. The variety of its uses is wide but how many times as teachers have we heard students exclaim, "What use will this be when I leave school?" I guess it's all a matter of perspective. A teacher might say mathematics is useful because it provides him/her with a livelihood. A scientist would probably say it's the language of science and an engineer might use it for calculations necessary to build bridges. What about the rest of us? A number of surveys have shown that the majority of us only need to handle whole numbers in counting, simple addition and subtraction and decimals as they relate to money and domestic measurement. We are adept in avoiding arithmetic - calculators in their various forms can handle that. We prefer to accept so-called ball-park figures rather than make useful estimates in day-to-day dealings and computer software combined with trial-and-error takes care of any design skills we might need. At the same time we know that in our technological world numeracy and computer literacy are vital. Research mathematicians can push boundaries into the esoteric, some of it will be found useful, but we can't leave mathematical expertise to a smaller and smaller proportion of the population, no matter how much our students complain. Approaching mathematics through problem solving - real and abstract - is the philosophy of the nzmaths website. -
POWERFUL AMICABLE NUMBERS 1. Introduction Let S(N) := ∑ D Be the Sum of the Proper Divisors of the Natural Number N. Two Disti
POWERFUL AMICABLE NUMBERS PAUL POLLACK P Abstract. Let s(n) := djn; d<n d denote the sum of the proper di- visors of the natural number n. Two distinct positive integers n and m are said to form an amicable pair if s(n) = m and s(m) = n; in this case, both n and m are called amicable numbers. The first example of an amicable pair, known already to the ancients, is f220; 284g. We do not know if there are infinitely many amicable pairs. In the opposite direction, Erd}osshowed in 1955 that the set of amicable numbers has asymptotic density zero. Let ` ≥ 1. A natural number n is said to be `-full (or `-powerful) if p` divides n whenever the prime p divides n. As shown by Erd}osand 1=` Szekeres in 1935, the number of `-full n ≤ x is asymptotically c`x , as x ! 1. Here c` is a positive constant depending on `. We show that for each fixed `, the set of amicable `-full numbers has relative density zero within the set of `-full numbers. 1. Introduction P Let s(n) := djn; d<n d be the sum of the proper divisors of the natural number n. Two distinct natural numbers n and m are said to form an ami- cable pair if s(n) = m and s(m) = n; in this case, both n and m are called amicable numbers. The first amicable pair, 220 and 284, was known already to the Pythagorean school. Despite their long history, we still know very little about such pairs. -
The Schnirelmann Density of the Set of Deficient Numbers
THE SCHNIRELMANN DENSITY OF THE SET OF DEFICIENT NUMBERS A Thesis Presented to the Faculty of California State Polytechnic University, Pomona In Partial Fulfillment Of the Requirements for the Degree Master of Science In Mathematics By Peter Gerralld Banda 2015 SIGNATURE PAGE THESIS: THE SCHNIRELMANN DENSITY OF THE SET OF DEFICIENT NUMBERS AUTHOR: Peter Gerralld Banda DATE SUBMITTED: Summer 2015 Mathematics and Statistics Department Dr. Mitsuo Kobayashi Thesis Committee Chair Mathematics & Statistics Dr. Amber Rosin Mathematics & Statistics Dr. John Rock Mathematics & Statistics ii ACKNOWLEDGMENTS I would like to take a moment to express my sincerest appreciation of my fianc´ee’s never ceasing support without which I would not be here. Over the years our rela tionship has proven invaluable and I am sure that there will be many more fruitful years to come. I would like to thank my friends/co-workers/peers who shared the long nights, tears and triumphs that brought my mathematical understanding to what it is today. Without this, graduate school would have been lonely and I prob ably would have not pushed on. I would like to thank my teachers and mentors. Their commitment to teaching and passion for mathematics provided me with the incentive to work and succeed in this educational endeavour. Last but not least, I would like to thank my advisor and mentor, Dr. Mitsuo Kobayashi. Thanks to his patience and guidance, I made it this far with my sanity mostly intact. With his expertise in mathematics and programming, he was able to correct the direction of my efforts no matter how far they strayed. -
A Simple Information Theoretical Proof of the Fueter-Pólya Conjecture
A simple information theoretical proof of the Fueter-P´olya Conjecture Pieter W. Adriaans ILLC, FNWI-IVI, SNE University of Amsterdam, Science Park 107 1098 XG Amsterdam, The Netherlands. Abstract We present a simple information theoretical proof of the Fueter-P´olya Conjec- ture: there is no polynomial pairing function that defines a bijection between the set of natural numbers N and its product set N2 of degree higher than 2. We show that the assumption that such a function exists allows us to con- struct a set of natural numbers that is both compressible and dense. This contradicts a central result of complexity theory that states that the density of the set of compressible numbers is zero in the limit. Keywords: Fueter P´olya Conjecture, Kolmogorov complexity, computational complexity, data structures, theory of computation. 1. Introduction and sketch of the proof The set of natural numbers N can be mapped to its product set by the two so-called Cantor pairing functions π : N2 ! N that defines a two-way polynomial time computable bijection: π(x; y) := 1=2(x + y)(x + y + 1) + y (1) The Fueter - P´olya theorem (Fueter and P´olya (1923)) states that the Cantor pairing function and its symmetric counterpart π0(x; y) = π(y; x) are the only possible quadratic pairing functions. The original proof by Fueter Email address: [email protected] (Pieter W. Adriaans) Preprint submitted to Information Processing Letters January 2, 2018 and P´olya is complex, but a simpler version was published in Vsemirnov (2002) (cf. Nathanson (2016)).