On the smallest abundant number not divisible by the first k primes
|
|
- Colleen Bryant
- 5 years ago
- Views:
Transcription
1 On the smallest abundant number not divisible by the first k rimes Douglas E. Iannucci Abstract We say a ositive integer n is abundant if σ(n) > 2n, where σ(n) denotes the sum of the ositive divisors of n. Number the rimes in ascending order: 1 = 2, 2 = 3, and so forth. Let A(k) denote the smallest abundant number not divisible by 1, 2,..., k. In this aer we find A(k) for 1 k 7, and we show that for all ǫ > 0, (1 ǫ)(k ln k) 2 ǫ < ln A(k) < (1 + ǫ)(k ln k) 2+ǫ for all sufficiently large k. 1 Introduction We say a ositive integer n is abundant if σ(n) > 2n, where σ(n) denotes the sum of the ositive divisors of n. The smallest abundant number is 12, and the smallest odd abundant number is 945. With a comuter search, Whalen and Miller [3] found to be an odd abundant number not divisible by 3, and they raised the general question of how one goes about finding the smallest abundant number not divisible by the first k rimes. We number the rimes in ascending order: 1 = 2, 2 = 3, and so forth. Let A(k) denote the smallest abundant number not divisible by 1, 2,..., k. Note that A(1) = 945. In this aer we devise an algorithm to find A(k), and we aly it to find A(k) for 1 k 7. We shall also rove Theorem 1. For every ǫ > 0 we have whenever k is sufficiently large. (1 ǫ)(k ln k) 2 ǫ < ln A(k) < (1 + ǫ)(k ln k) 2+ǫ Received by the editors February Communicated by M. Van den Bergh Mathematics Subject Classification : 11A32, 11Y70. Key words and hrases : abundant numbers, rimes. Bull. Belg. Math. Soc. 12(2005), 39 44
2 40 D. E. Iannucci 2 Preliminaries For a ositive integer n we define the index of n to be σ 1 (n) = σ(n) n. Thus n is abundant if σ 1 (n) > 2. The function σ 1 is multilicative, and for rime and integer a 1 we have σ 1 ( a ) = a. Therefore σ 1 ( a ) increases with a, and in fact + 1 σ 1 ( a ) < 1. (1) If < q are rimes then q/(q 1) < ( + 1)/ and so for all integers a 1, b 1, we have σ 1 (q b ) < σ 1 ( a ). (2) For each integer k 1 let us define V t (k) = t j=k+1 j + 1 j for integers t > k. By Theorem 19 in [1] and Theorem 3 of 28, Chater VII in [2], V t (k) increases without bound as t increases, and therefore we may define v(k) = min { t : V t (k) > 2 }. Since V t (k) = σ 1 ( k+1 k+2 t ), we have A(k) k+1 k+2 v(k). (3) We may also obtain a lower bound for A(k). For each integer k 1 we define U t (k) = t j=k+1 j j 1 for integers t > k. Since /( 1) > ( + 1)/, we have U t (k) > V t (k) and so we may define u(k) = min { t : U t (k) > 2 }. (4) Note that u(k) v(k). We can show that A(k) k+1 k+2 u(k) ; in fact we can show more:
3 On the smallest abundant number 41 Lemma 1. A(k) is divisible by k+1 k+2 u(k). Proof. Let M = k+1 k+2 u(k) and suose M A(k). Let A(k) have the unique rime factorization given by A(k) = t i=1 q a i i for distinct rimes q 1 < q 2 < < q t, and ositive integers a i, 1 i t. Note that q 1 > k. Hence q i k+i for all i, 1 i t. We have t u(k) k. For, otherwise by (1), (2), σ 1 (A(k)) < k+1 k+1 1 k+2 k+2 1 u(k) 1 u(k) 1 1, which imlies σ 1 (A(k)) 2 by (4); this contradicts the abundance of A(k). Since M A(k), we have j A(k) for some j such that k + 1 j u(k). Therefore, since t u(k) k, at least one of the rimes q i dividing A(k) must be greater than u(k). Without loss of generality we may assume q 1 > u(k). Then by (2), σ 1 ( j q a 2 2 qat t ) > σ 1(q a 1 1 qa 2 2 qat t ) > 2. But then, j q a 2 2 qat t < q a 1 1 qa 2 2 qat t = A(k), which contradicts the minimality of A(k). 3 An Algorithm From Lemma 1, we may devise an algorithm for finding A(k): (1) Find u(k), as given by (4). (2) Let P k = 1 2 k. Let m run through the ositive integers which are relatively rime to P k until we find It follows that M(k) = min { m : σ 1(m k+1 k+2 u(k) ) > 2 }. (m,p k )=1 A(k) = M(k) k+1 k+2 u(k). Note that by (3) we have M(k) u(k)+1 u(k)+2 v(k). Using the UBASIC software ackage, a comuter search emloying the algorithm was conducted to find A(k) for 1 k 7. In Table 1 is given the values for M(k) and A(k), along with those of u(k) and v(k), for 1 k 7. k u(k) v(k) M(k) A(k) Table 1. The values A(k) for 1 k 7.
4 42 D. E. Iannucci 4 Behavior of A(k) In this section we estimate the growth of A(k) by roving Theorem 1. We begin by stating a result due to Mertens (Theorem 429 in [1]), e γ lim x ln x x 1 = 1, (5) where the roduct is taken over rimes and where γ denotes Euler s constant. We now rove Lemma 2. ln u(k) lim = 2. x ln k Proof. Let 0 < ǫ < 2 be given. Take 0 < ǫ 1 < ǫ/(2 ǫ) (so that 2ǫ 1 /(1 + ǫ 1 ) < ǫ), and take 0 < ǫ 2 < ǫ 1 /(2 + ǫ 1 ) (so that (1 + ǫ 2 )/(1 ǫ 2 ) < 1 + ǫ 1 ). By (5), there exists an integer k 1 such that for all x k1 we have (1 ǫ 2 )e γ ln x < x 1 < (1 + ǫ 2)e γ ln x. Note that by (4) we have 2 < Thus for all k k 1 we have hence k < u(k) 1 = u(k) 1. k 1 2 < (1 + ǫ 2)e γ ln u(k) (1 ǫ 2 )e γ ln k < (1 + ǫ 1 ) ln u(k) ln k, ln u(k) ln k > ǫ 1 = 2 2ǫ ǫ 1 > 2 ǫ. Now take 0 < ǫ 4 < ( ǫ)/2 (so that 3ǫ 4 + ǫ 2 4 < ǫ), take 0 < ǫ 5 < ǫ 4 /(2 + ǫ 4 ) (so that 2/(1 ǫ 5 ) < 2 + ǫ 4 ), and take 0 < ǫ 6 < ǫ 5 /(2 ǫ 5 ) (so that (1 ǫ 6 )/(1 + ǫ 6 ) < 1 ǫ 5 ). By (5) there exists an integer k 2 such that for all k k 2 we have 1/( k 1) < ǫ 4 and such that for all x k2 we have (1 ǫ 6 )e γ ln x < x 1 < (1 + ǫ 6)e γ ln x. By (4) we have and so for k k 2 hence 2 u(k) u(k) 1 k < u(k) 1 = u(k) 1, k 1 2 u(k) u(k) 1 (1 ǫ 6)e γ ln u(k) (1 + ǫ 6 )e γ ln k > (1 ǫ 5 ) ln u(k) ln k, ln u(k) < u(k) ln k u(k) 1 2 < (1 + ǫ 4 )(2 + ǫ 4 ) = 2 + 3ǫ 4 + ǫ ǫ < 2 + ǫ. 5 Therefore if k max{k 1, k 2 } then ln u(k) /ln k 2 < ǫ.
5 On the smallest abundant number 43 An almost identical roof (omitted here) gives Lemma 3. ln v(k) lim = 2. x ln k The Prime Number Theorem (Theorem 8 in [1]) states that lim n An equivalent result (Theorem 420 in [1]) is where θ denotes the function, defined for x > 0, given by n n ln n = 1. (6) θ(x) lim x x = 1, (7) θ(x) = ln, x the sum being taken over rimes. We may now begin roving Theorem 1. Let ǫ > 0 be given. Take 0 < ǫ 1 < ǫ 1 (so that (1+ǫ1 ) 4 < 1+ǫ), take 0 < ǫ 2 < ǫ 1, and take 0 < ǫ 3 < min{1, ǫ}. By (7), there exists an integer k 1 such that for all k k 1 we have θ( v(k) ) < (1 + ǫ 1 ) v(k). By (6) there exists an integer k 2 such that for all k k 2 we have k < (1 + ǫ 2 )k ln k. By Lemma 3 there exists an integer k 3 such that for all k k 3 we have v(k) < 2+ǫ 3 k. Then by (3), if k max{k 1, k 2, k 3 }, we have hence ln A(k) v(k) j=k+1 ln j < θ( v(k) ), ln A(k) < (1 + ǫ 1 ) v(k) < (1 + ǫ 1 ) 2+ǫ 3 k < (1 + ǫ 1 )(1 + ǫ 2 ) 2+ǫ 3 (k lnk) 2+ǫ 3 < (1 + ǫ 1 ) 4 (k ln k) 2+ǫ 3 < (1 + ǫ)(k ln k) 2+ǫ. A similar roof (omitted here) shows that for sufficiently large k we have ln A(k) > (1 ǫ)(k lnk) 2 ǫ, and hence the roof of Theorem 1 is comlete.
6 44 D. E. Iannucci Bibliograhy [1] G. H. Hardy and E. M. Wright, An Introduction to the Theory of Numbers, 5th ed., Oxford University Press, Oxford, 1979; [2] K. Kno, Theory and Alication of Infinite Series, Dover Publications, New York, 1990; [3] M. T. Whalen and C. L. Miller, Odd abundant numbers: some interesting observations, Jour. Rec. Math. 22 (1990), ; University of the Virgin Islands 2 John Brewers Bay St. Thomas VI USA diannuc@uvi.edu
ON THE MEAN VALUE OF THE SCBF FUNCTION
ON THE MEAN VALUE OF THE SCBF FUNCTION Zhang Xiaobeng Deartment of Mathematics, Northwest University Xi an, Shaani, P.R.China Abstract Keywords: The main urose of this aer is using the elementary method
More informationarxiv: v3 [math.nt] 10 Jul 2014
The sum of the unitary divisor function arxiv:1312.4615v3 [math.nt] 10 Jul 2014 Tim Trudgian Mathematical Sciences Institute The Australian National University, ACT 0200, Australia timothy.trudgian@anu.edu.au
More informationHomework #5 7 th week Math 240 Thursday October 24, 2013
. Let a, b > be integers and g : = gcd(a, b) its greatest common divisor. Show that if a = g q a and b = g q b then q a and q b are relatively rime. Since gcd(κ a, κ b) = κ gcd(a, b) in articular, for
More informationCONGRUENCES AND IDEALS IN A DISTRIBUTIVE LATTICE WITH RESPECT TO A DERIVATION
Bulletin of the Section of Logic Volume 42:1/2 (2013), pp. 1 10 M. Sambasiva Rao CONGRUENCES AND IDEALS IN A DISTRIBUTIVE LATTICE WITH RESPECT TO A DERIVATION Abstract Two types of congruences are introduced
More informationA Property Equivalent to n-permutability for Infinite Groups
Journal of Algebra 221, 570 578 (1999) Article ID jabr.1999.7996, available online at http://www.idealibrary.com on A Property Equivalent to n-permutability for Infinite Groups Alireza Abdollahi* and Aliakbar
More informationSupplemental Material: Buyer-Optimal Learning and Monopoly Pricing
Sulemental Material: Buyer-Otimal Learning and Monooly Pricing Anne-Katrin Roesler and Balázs Szentes February 3, 207 The goal of this note is to characterize buyer-otimal outcomes with minimal learning
More informationA note on the number of (k, l)-sum-free sets
A note on the number of (k, l)-sum-free sets Tomasz Schoen Mathematisches Seminar Universität zu Kiel Ludewig-Meyn-Str. 4, 4098 Kiel, Germany tos@numerik.uni-kiel.de and Department of Discrete Mathematics
More informationmaps 1 to 5. Similarly, we compute (1 2)(4 7 8)(2 1)( ) = (1 5 8)(2 4 7).
Math 430 Dr. Songhao Li Spring 2016 HOMEWORK 3 SOLUTIONS Due 2/15/16 Part II Section 9 Exercises 4. Find the orbits of σ : Z Z defined by σ(n) = n + 1. Solution: We show that the only orbit is Z. Let i,
More informationReceived May 27, 2009; accepted January 14, 2011
MATHEMATICAL COMMUNICATIONS 53 Math. Coun. 6(20), 53 538. I σ -Convergence Fatih Nuray,, Hafize Gök and Uǧur Ulusu Departent of Matheatics, Afyon Kocatepe University, 03200 Afyonkarahisar, Turkey Received
More informationAn Optimal Odd Unimodular Lattice in Dimension 72
An Optimal Odd Unimodular Lattice in Dimension 72 Masaaki Harada and Tsuyoshi Miezaki September 27, 2011 Abstract It is shown that if there is an extremal even unimodular lattice in dimension 72, then
More informationOn the Number of Permutations Avoiding a Given Pattern
On the Number of Permutations Avoiding a Given Pattern Noga Alon Ehud Friedgut February 22, 2002 Abstract Let σ S k and τ S n be permutations. We say τ contains σ if there exist 1 x 1 < x 2
More informationSingle Machine Inserted Idle Time Scheduling with Release Times and Due Dates
Single Machine Inserted Idle Time Scheduling with Release Times and Due Dates Natalia Grigoreva Department of Mathematics and Mechanics, St.Petersburg State University, Russia n.s.grig@gmail.com Abstract.
More informationAsymptotic Notation. Instructor: Laszlo Babai June 14, 2002
Asymptotic Notation Instructor: Laszlo Babai June 14, 2002 1 Preliminaries Notation: exp(x) = e x. Throughout this course we shall use the following shorthand in quantifier notation. ( a) is read as for
More informationCOMBINATORIAL CONVOLUTION SUMS DERIVED FROM DIVISOR FUNCTIONS AND FAULHABER SUMS
GLASNIK MATEMATIČKI Vol. 49(69(014, 351 367 COMBINATORIAL CONVOLUTION SUMS DERIVED FROM DIVISOR FUNCTIONS AND FAULHABER SUMS Bumkyu Cho, Daeyeoul Kim and Ho Park Dongguk University-Seoul, National Institute
More informationOn the h-vector of a Lattice Path Matroid
On the h-vector of a Lattice Path Matroid Jay Schweig Department of Mathematics University of Kansas Lawrence, KS 66044 jschweig@math.ku.edu Submitted: Sep 16, 2009; Accepted: Dec 18, 2009; Published:
More informationGUESSING MODELS IMPLY THE SINGULAR CARDINAL HYPOTHESIS arxiv: v1 [math.lo] 25 Mar 2019
GUESSING MODELS IMPLY THE SINGULAR CARDINAL HYPOTHESIS arxiv:1903.10476v1 [math.lo] 25 Mar 2019 Abstract. In this article we prove three main theorems: (1) guessing models are internally unbounded, (2)
More informationRealizability of n-vertex Graphs with Prescribed Vertex Connectivity, Edge Connectivity, Minimum Degree, and Maximum Degree
Realizability of n-vertex Graphs with Prescribed Vertex Connectivity, Edge Connectivity, Minimum Degree, and Maximum Degree Lewis Sears IV Washington and Lee University 1 Introduction The study of graph
More informationOptimal Search for Parameters in Monte Carlo Simulation for Derivative Pricing
Optimal Search for Parameters in Monte Carlo Simulation for Derivative Pricing Prof. Chuan-Ju Wang Department of Computer Science University of Taipei Joint work with Prof. Ming-Yang Kao March 28, 2014
More informationThe Limiting Distribution for the Number of Symbol Comparisons Used by QuickSort is Nondegenerate (Extended Abstract)
The Limiting Distribution for the Number of Symbol Comparisons Used by QuickSort is Nondegenerate (Extended Abstract) Patrick Bindjeme 1 James Allen Fill 1 1 Department of Applied Mathematics Statistics,
More informationCOMBINATORICS OF REDUCTIONS BETWEEN EQUIVALENCE RELATIONS
COMBINATORICS OF REDUCTIONS BETWEEN EQUIVALENCE RELATIONS DAN HATHAWAY AND SCOTT SCHNEIDER Abstract. We discuss combinatorial conditions for the existence of various types of reductions between equivalence
More informationAlgebra homework 8 Homomorphisms, isomorphisms
MATH-UA.343.005 T.A. Louis Guigo Algebra homework 8 Homomorphisms, isomorphisms For every n 1 we denote by S n the n-th symmetric group. Exercise 1. Consider the following permutations: ( ) ( 1 2 3 4 5
More informationOPTIMAL PORTFOLIO CONTROL WITH TRADING STRATEGIES OF FINITE
Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference 005 Seville, Spain, December 1-15, 005 WeA11.6 OPTIMAL PORTFOLIO CONTROL WITH TRADING STRATEGIES OF
More informationMore On λ κ closed sets in generalized topological spaces
Journal of Algorithms and Computation journal homepage: http://jac.ut.ac.ir More On λ κ closed sets in generalized topological spaces R. Jamunarani, 1, P. Jeyanthi 2 and M. Velrajan 3 1,2 Research Center,
More informationSUBORDINATION BY ORTHOGONAL MARTINGALES IN L p, 1 < p Introduction: Orthogonal martingales and the Beurling-Ahlfors transform
SUBORDINATION BY ORTHOGONAL MARTINGALES IN L, 1 < PRABHU JANAKIRAMAN AND ALEXANDER VOLBERG 1. Introduction: Orthogonal martingales and the Beurling-Ahlfors transform We are given two martingales on the
More informationAbstract Algebra Solution of Assignment-1
Abstract Algebra Solution of Assignment-1 P. Kalika & Kri. Munesh [ M.Sc. Tech Mathematics ] 1. Illustrate Cayley s Theorem by calculating the left regular representation for the group V 4 = {e, a, b,
More informationMath 167: Mathematical Game Theory Instructor: Alpár R. Mészáros
Math 167: Mathematical Game Theory Instructor: Alpár R. Mészáros Midterm #1, February 3, 2017 Name (use a pen): Student ID (use a pen): Signature (use a pen): Rules: Duration of the exam: 50 minutes. By
More informationCollinear Triple Hypergraphs and the Finite Plane Kakeya Problem
Collinear Triple Hypergraphs and the Finite Plane Kakeya Problem Joshua Cooper August 14, 006 Abstract We show that the problem of counting collinear points in a permutation (previously considered by the
More informationarxiv: v2 [math.lo] 13 Feb 2014
A LOWER BOUND FOR GENERALIZED DOMINATING NUMBERS arxiv:1401.7948v2 [math.lo] 13 Feb 2014 DAN HATHAWAY Abstract. We show that when κ and λ are infinite cardinals satisfying λ κ = λ, the cofinality of the
More information5 Deduction in First-Order Logic
5 Deduction in First-Order Logic The system FOL C. Let C be a set of constant symbols. FOL C is a system of deduction for the language L # C. Axioms: The following are axioms of FOL C. (1) All tautologies.
More informationTHE OPTIMAL ASSET ALLOCATION PROBLEMFOR AN INVESTOR THROUGH UTILITY MAXIMIZATION
THE OPTIMAL ASSET ALLOCATION PROBLEMFOR AN INVESTOR THROUGH UTILITY MAXIMIZATION SILAS A. IHEDIOHA 1, BRIGHT O. OSU 2 1 Department of Mathematics, Plateau State University, Bokkos, P. M. B. 2012, Jos,
More informationSome Bounds for the Singular Values of Matrices
Applied Mathematical Sciences, Vol., 007, no. 49, 443-449 Some Bounds for the Singular Values of Matrices Ramazan Turkmen and Haci Civciv Department of Mathematics, Faculty of Art and Science Selcuk University,
More informationSome Remarks on Finitely Quasi-injective Modules
EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 6, No. 2, 2013, 119-125 ISSN 1307-5543 www.ejpam.com Some Remarks on Finitely Quasi-injective Modules Zhu Zhanmin Department of Mathematics, Jiaxing
More informationBrownian Motion, the Gaussian Lévy Process
Brownian Motion, the Gaussian Lévy Process Deconstructing Brownian Motion: My construction of Brownian motion is based on an idea of Lévy s; and in order to exlain Lévy s idea, I will begin with the following
More informationInterpolation of κ-compactness and PCF
Comment.Math.Univ.Carolin. 50,2(2009) 315 320 315 Interpolation of κ-compactness and PCF István Juhász, Zoltán Szentmiklóssy Abstract. We call a topological space κ-compact if every subset of size κ has
More informationBETA DISTRIBUTION ON ARITHMETICAL SEMIGROUPS
Annales Univ Sci Budapest Sect Comp 47 (2018) 147 154 BETA DISTRIBUTION ON ARITHMETICAL SEMIGROUPS Gintautas Bareikis and Algirdas Mačiulis (Vilnius Lithuania) Communicated by Imre Kátai (Received February
More informationAsymptotic results discrete time martingales and stochastic algorithms
Asymptotic results discrete time martingales and stochastic algorithms Bernard Bercu Bordeaux University, France IFCAM Summer School Bangalore, India, July 2015 Bernard Bercu Asymptotic results for discrete
More informationThe Real Numbers. Here we show one way to explicitly construct the real numbers R. First we need a definition.
The Real Numbers Here we show one way to explicitly construct the real numbers R. First we need a definition. Definitions/Notation: A sequence of rational numbers is a funtion f : N Q. Rather than write
More informationGeneralized I of strongly Lacunary of χ 2 over p metric spaces defined by Musielak Orlicz function
Available at htt://vamuedu/aam Al Al Math ISSN: 1932-9466 Vol 11, Issue 2 (December 2016), 888 905 Alications and Alied Mathematics: An International Journal (AAM) Generalized I of strongly Lacunary of
More informationMarkov Decision Processes II
Markov Decision Processes II Daisuke Oyama Topics in Economic Theory December 17, 2014 Review Finite state space S, finite action space A. The value of a policy σ A S : v σ = β t Q t σr σ, t=0 which satisfies
More informationPalindromic Permutations and Generalized Smarandache Palindromic Permutations
arxiv:math/0607742v2 [mathgm] 8 Sep 2007 Palindromic Permutations and Generalized Smarandache Palindromic Permutations Tèmítópé Gbóláhàn Jaíyéọlá Department of Mathematics, Obafemi Awolowo University,
More informationEpimorphisms and Ideals of Distributive Nearlattices
Annals of Pure and Applied Mathematics Vol. 18, No. 2, 2018,175-179 ISSN: 2279-087X (P), 2279-0888(online) Published on 9 November 2018 www.researchmathsci.org DOI: http://dx.doi.org/10.22457/apam.v18n2a5
More informationForecast Horizons for Production Planning with Stochastic Demand
Forecast Horizons for Production Planning with Stochastic Demand Alfredo Garcia and Robert L. Smith Department of Industrial and Operations Engineering Universityof Michigan, Ann Arbor MI 48109 December
More informationAn Application of Ramsey Theorem to Stopping Games
An Application of Ramsey Theorem to Stopping Games Eran Shmaya, Eilon Solan and Nicolas Vieille July 24, 2001 Abstract We prove that every two-player non zero-sum deterministic stopping game with uniformly
More informationLecture 6. 1 Polynomial-time algorithms for the global min-cut problem
ORIE 633 Network Flows September 20, 2007 Lecturer: David P. Williamson Lecture 6 Scribe: Animashree Anandkumar 1 Polynomial-time algorithms for the global min-cut problem 1.1 The global min-cut problem
More informationTheorem 1.3. Every finite lattice has a congruence-preserving embedding to a finite atomistic lattice.
CONGRUENCE-PRESERVING EXTENSIONS OF FINITE LATTICES TO SEMIMODULAR LATTICES G. GRÄTZER AND E.T. SCHMIDT Abstract. We prove that every finite lattice hasa congruence-preserving extension to a finite semimodular
More informationGlobal convergence rate analysis of unconstrained optimization methods based on probabilistic models
Math. Program., Ser. A DOI 10.1007/s10107-017-1137-4 FULL LENGTH PAPER Global convergence rate analysis of unconstrained optimization methods based on probabilistic models C. Cartis 1 K. Scheinberg 2 Received:
More informationThe Monthly Payment. ( ) ( ) n. P r M = r 12. k r. 12C, which must be rounded up to the next integer.
MATH 116 Amortization One of the most useful arithmetic formulas in mathematics is the monthly payment for an amortized loan. Here are some standard questions that apply whenever you borrow money to buy
More informationMore Advanced Single Machine Models. University at Buffalo IE661 Scheduling Theory 1
More Advanced Single Machine Models University at Buffalo IE661 Scheduling Theory 1 Total Earliness And Tardiness Non-regular performance measures Ej + Tj Early jobs (Set j 1 ) and Late jobs (Set j 2 )
More informationDeterministic Multi-Player Dynkin Games
Deterministic Multi-Player Dynkin Games Eilon Solan and Nicolas Vieille September 3, 2002 Abstract A multi-player Dynkin game is a sequential game in which at every stage one of the players is chosen,
More informationTug of War Game. William Gasarch and Nick Sovich and Paul Zimand. October 6, Abstract
Tug of War Game William Gasarch and ick Sovich and Paul Zimand October 6, 2009 To be written later Abstract Introduction Combinatorial games under auction play, introduced by Lazarus, Loeb, Propp, Stromquist,
More informationPricing Dynamic Solvency Insurance and Investment Fund Protection
Pricing Dynamic Solvency Insurance and Investment Fund Protection Hans U. Gerber and Gérard Pafumi Switzerland Abstract In the first part of the paper the surplus of a company is modelled by a Wiener process.
More information2 Deduction in Sentential Logic
2 Deduction in Sentential Logic Though we have not yet introduced any formal notion of deductions (i.e., of derivations or proofs), we can easily give a formal method for showing that formulas are tautologies:
More information3 The Model Existence Theorem
3 The Model Existence Theorem Although we don t have compactness or a useful Completeness Theorem, Henkinstyle arguments can still be used in some contexts to build models. In this section we describe
More informationOptimal Allocation of Policy Limits and Deductibles
Optimal Allocation of Policy Limits and Deductibles Ka Chun Cheung Email: kccheung@math.ucalgary.ca Tel: +1-403-2108697 Fax: +1-403-2825150 Department of Mathematics and Statistics, University of Calgary,
More informationLecture 2: The Simple Story of 2-SAT
0510-7410: Topics in Algorithms - Random Satisfiability March 04, 2014 Lecture 2: The Simple Story of 2-SAT Lecturer: Benny Applebaum Scribe(s): Mor Baruch 1 Lecture Outline In this talk we will show that
More informationCONSTRUCTION OF CODES BY LATTICE VALUED FUZZY SETS. 1. Introduction. Novi Sad J. Math. Vol. 35, No. 2, 2005,
Novi Sad J. Math. Vol. 35, No. 2, 2005, 155-160 CONSTRUCTION OF CODES BY LATTICE VALUED FUZZY SETS Mališa Žižović 1, Vera Lazarević 2 Abstract. To every finite lattice L, one can associate a binary blockcode,
More informationThe Binomial Theorem and Consequences
The Binomial Theorem and Consequences Juris Steprāns York University November 17, 2011 Fermat s Theorem Pierre de Fermat claimed the following theorem in 1640, but the first published proof (by Leonhard
More informationLecture 5: Tuesday, January 27, Peterson s Algorithm satisfies the No Starvation property (Theorem 1)
Com S 611 Spring Semester 2015 Advanced Topics on Distributed and Concurrent Algorithms Lecture 5: Tuesday, January 27, 2015 Instructor: Soma Chaudhuri Scribe: Nik Kinkel 1 Introduction This lecture covers
More informationLecture 8: The Black-Scholes theory
Lecture 8: The Black-Scholes theory Dr. Roman V Belavkin MSO4112 Contents 1 Geometric Brownian motion 1 2 The Black-Scholes pricing 2 3 The Black-Scholes equation 3 References 5 1 Geometric Brownian motion
More informationNotes on the symmetric group
Notes on the symmetric group 1 Computations in the symmetric group Recall that, given a set X, the set S X of all bijections from X to itself (or, more briefly, permutations of X) is group under function
More informationConvergence of trust-region methods based on probabilistic models
Convergence of trust-region methods based on probabilistic models A. S. Bandeira K. Scheinberg L. N. Vicente October 24, 2013 Abstract In this paper we consider the use of probabilistic or random models
More informationHomework 10 Solution Section 4.2, 4.3.
MATH 00 Homewor Homewor 0 Solution Section.,.3. Please read your writing again before moving to the next roblem. Do not abbreviate your answer. Write everything in full sentences. Write your answer neatly.
More informationOn Machin s formula with Powers of the Golden Section
On Machin s formula with Powers of the Golden Section Florian Luca Instituto de Matemáticas Universidad Nacional Autónoma de México C.P. 58089, Morelia, Michoacán, México fluca@matmor.unam.mx Pantelimon
More informationMicroeconomic Theory II Preliminary Examination Solutions
Microeconomic Theory II Preliminary Examination Solutions 1. (45 points) Consider the following normal form game played by Bruce and Sheila: L Sheila R T 1, 0 3, 3 Bruce M 1, x 0, 0 B 0, 0 4, 1 (a) Suppose
More informationDetermining a Number Through its Sum of Divisors
Determining a Number Through its Sum of Divisors Carter Smith with Alessandro Rezende De Macedo University of Texas at Austin arter Smith with Alessandro Rezende De Macedo Determining (University a Number
More informationarxiv:math/ v1 [math.lo] 15 Jan 1991
ON A CONJECTURE OF TARSKI ON PRODUCTS OF CARDINALS arxiv:math/9201247v1 [mathlo] 15 Jan 1991 Thomas Jech 1 and Saharon Shelah 2 Abstract 3 We look at an old conjecture of A Tarski on cardinal arithmetic
More informationStrong Subgraph k-connectivity of Digraphs
Strong Subgraph k-connectivity of Digraphs Yuefang Sun joint work with Gregory Gutin, Anders Yeo, Xiaoyan Zhang yuefangsun2013@163.com Department of Mathematics Shaoxing University, China July 2018, Zhuhai
More informationGLOBAL CONVERGENCE OF GENERAL DERIVATIVE-FREE TRUST-REGION ALGORITHMS TO FIRST AND SECOND ORDER CRITICAL POINTS
GLOBAL CONVERGENCE OF GENERAL DERIVATIVE-FREE TRUST-REGION ALGORITHMS TO FIRST AND SECOND ORDER CRITICAL POINTS ANDREW R. CONN, KATYA SCHEINBERG, AND LUíS N. VICENTE Abstract. In this paper we prove global
More informationFUZZY PRIME L-FILTERS
International Journal of Applied Mathematical Sciences ISSN 0973-0176 Volume 9, Number 1 (2016), pp. 37-44 Research India Publications http://www.ripublication.com FUZZY PRIME L-FILTERS M. Mullai Assistant
More informationOn Packing Densities of Set Partitions
On Packing Densities of Set Partitions Adam M.Goyt 1 Department of Mathematics Minnesota State University Moorhead Moorhead, MN 56563, USA goytadam@mnstate.edu Lara K. Pudwell Department of Mathematics
More informationMacroeconomics and finance
Macroeconomics and finance 1 1. Temporary equilibrium and the price level [Lectures 11 and 12] 2. Overlapping generations and learning [Lectures 13 and 14] 2.1 The overlapping generations model 2.2 Expectations
More informationON A PROBLEM BY SCHWEIZER AND SKLAR
K Y B E R N E T I K A V O L U M E 4 8 ( 2 1 2 ), N U M B E R 2, P A G E S 2 8 7 2 9 3 ON A PROBLEM BY SCHWEIZER AND SKLAR Fabrizio Durante We give a representation of the class of all n dimensional copulas
More informationEfficiency in Decentralized Markets with Aggregate Uncertainty
Efficiency in Decentralized Markets with Aggregate Uncertainty Braz Camargo Dino Gerardi Lucas Maestri December 2015 Abstract We study efficiency in decentralized markets with aggregate uncertainty and
More informationWorst-case evaluation complexity for unconstrained nonlinear optimization using high-order regularized models
Worst-case evaluation comlexity for unconstrained nonlinear otimization using high-order regularized models E. G. Birgin, J. L. Gardenghi, J. M. Martínez, S. A. Santos and Ph. L. Toint 2 Aril 26 Abstract
More informationPricing Exotic Options Under a Higher-order Hidden Markov Model
Pricing Exotic Options Under a Higher-order Hidden Markov Model Wai-Ki Ching Tak-Kuen Siu Li-min Li 26 Jan. 2007 Abstract In this paper, we consider the pricing of exotic options when the price dynamic
More informationSolutions of Bimatrix Coalitional Games
Applied Mathematical Sciences, Vol. 8, 2014, no. 169, 8435-8441 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/ams.2014.410880 Solutions of Bimatrix Coalitional Games Xeniya Grigorieva St.Petersburg
More informationMATH20180: Foundations of Financial Mathematics
MATH20180: Foundations of Financial Mathematics Vincent Astier email: vincent.astier@ucd.ie office: room S1.72 (Science South) Lecture 1 Vincent Astier MATH20180 1 / 35 Our goal: the Black-Scholes Formula
More informationIEOR E4004: Introduction to OR: Deterministic Models
IEOR E4004: Introduction to OR: Deterministic Models 1 Dynamic Programming Following is a summary of the problems we discussed in class. (We do not include the discussion on the container problem or the
More informationStrategic Trading of Informed Trader with Monopoly on Shortand Long-Lived Information
ANNALS OF ECONOMICS AND FINANCE 10-, 351 365 (009) Strategic Trading of Informed Trader with Monopoly on Shortand Long-Lived Information Chanwoo Noh Department of Mathematics, Pohang University of Science
More informationMITCHELL S THEOREM REVISITED. Contents
MITCHELL S THEOREM REVISITED THOMAS GILTON AND JOHN KRUEGER Abstract. Mitchell s theorem on the approachability ideal states that it is consistent relative to a greatly Mahlo cardinal that there is no
More informationApproximate Revenue Maximization with Multiple Items
Approximate Revenue Maximization with Multiple Items Nir Shabbat - 05305311 December 5, 2012 Introduction The paper I read is called Approximate Revenue Maximization with Multiple Items by Sergiu Hart
More informationComputing Unsatisfiable k-sat Instances with Few Occurrences per Variable
Computing Unsatisfiable k-sat Instances with Few Occurrences per Variable Shlomo Hoory and Stefan Szeider Department of Computer Science, University of Toronto, shlomoh,szeider@cs.toronto.edu Abstract.
More informationThe ruin probabilities of a multidimensional perturbed risk model
MATHEMATICAL COMMUNICATIONS 231 Math. Commun. 18(2013, 231 239 The ruin probabilities of a multidimensional perturbed risk model Tatjana Slijepčević-Manger 1, 1 Faculty of Civil Engineering, University
More informationSy D. Friedman. August 28, 2001
0 # and Inner Models Sy D. Friedman August 28, 2001 In this paper we examine the cardinal structure of inner models that satisfy GCH but do not contain 0 #. We show, assuming that 0 # exists, that such
More informationInformation and uncertainty in a queueing system
Information and uncertainty in a queueing system Refael Hassin December 7, 7 Abstract This aer deals with the effect of information and uncertainty on rofits in an unobservable single server queueing system.
More informationOptimal Partitioning for Dual Pivot Quicksort
Optimal Partitioning for Dual Pivot Quicksort Martin Aumüller, Martin Dietzfelbinger Technische Universität Ilmenau, Germany ICALP 2013 Riga, July 12, 2013 M. Aumüller Optimal Partitioning for Dual Pivot
More informationInt. Statistical Inst.: Proc. 58th World Statistical Congress, 2011, Dublin (Session CPS019) p.4301
Int. Statistical Inst.: Proc. 58th World Statistical Congress, 0, Dublin (Session CPS09.430 RELIABILITY STUDIES OF BIVARIATE LOG-NORMAL DISTRIBUTION Pusha L.Guta Deartment of Mathematics and Statistics
More informationLossy compression of permutations
Lossy compression of permutations The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation As Published Publisher Wang, Da, Arya Mazumdar,
More information1 Residual life for gamma and Weibull distributions
Supplement to Tail Estimation for Window Censored Processes Residual life for gamma and Weibull distributions. Gamma distribution Let Γ(k, x = x yk e y dy be the upper incomplete gamma function, and let
More informationComputing Unsatisfiable k-sat Instances with Few Occurrences per Variable
Computing Unsatisfiable k-sat Instances with Few Occurrences per Variable Shlomo Hoory and Stefan Szeider Abstract (k, s)-sat is the propositional satisfiability problem restricted to instances where each
More informationEssays on Some Combinatorial Optimization Problems with Interval Data
Essays on Some Combinatorial Optimization Problems with Interval Data a thesis submitted to the department of industrial engineering and the institute of engineering and sciences of bilkent university
More informationConditional Square Functions and Dyadic Perturbations of the Sine-Cosine decomposition for Hardy Martingales
Conditional Square Functions and Dyadic Perturbations of the Sine-Cosine decomposition for Hardy Martingales arxiv:1611.02653v1 [math.fa] 8 Nov 2016 Paul F. X. Müller October 16, 2016 Abstract We prove
More information1 Online Problem Examples
Comp 260: Advanced Algorithms Tufts University, Spring 2018 Prof. Lenore Cowen Scribe: Isaiah Mindich Lecture 9: Online Algorithms All of the algorithms we have studied so far operate on the assumption
More informationVAISHALI EDUCATION POINT (QUALITY EDUCATION POINT)
BY PROF. RAHUL MISHRA Class :- XI VAISHALI EDUCATION POINT (QUALITY EDUCATION POINT) BINOMIAL THEOREM General Instructions M:9999907099,9818932244 Subject :- MATH QNo. 1 Expand the expression (1 2x) 5
More informationEconomics 209A Theory and Application of Non-Cooperative Games (Fall 2013) Repeated games OR 8 and 9, and FT 5
Economics 209A Theory and Application of Non-Cooperative Games (Fall 2013) Repeated games OR 8 and 9, and FT 5 The basic idea prisoner s dilemma The prisoner s dilemma game with one-shot payoffs 2 2 0
More information1 Overview. 2 The Gradient Descent Algorithm. AM 221: Advanced Optimization Spring 2016
AM 22: Advanced Optimization Spring 206 Prof. Yaron Singer Lecture 9 February 24th Overview In the previous lecture we reviewed results from multivariate calculus in preparation for our journey into convex
More informationA Decentralized Learning Equilibrium
Paper to be presented at the DRUID Society Conference 2014, CBS, Copenhagen, June 16-18 A Decentralized Learning Equilibrium Andreas Blume University of Arizona Economics ablume@email.arizona.edu April
More informationEquivalence Nucleolus for Partition Function Games
Equivalence Nucleolus for Partition Function Games Rajeev R Tripathi and R K Amit Department of Management Studies Indian Institute of Technology Madras, Chennai 600036 Abstract In coalitional game theory,
More informationBest response cycles in perfect information games
P. Jean-Jacques Herings, Arkadi Predtetchinski Best response cycles in perfect information games RM/15/017 Best response cycles in perfect information games P. Jean Jacques Herings and Arkadi Predtetchinski
More informationPart 3: Trust-region methods for unconstrained optimization. Nick Gould (RAL)
Part 3: Trust-region methods for unconstrained optimization Nick Gould (RAL) minimize x IR n f(x) MSc course on nonlinear optimization UNCONSTRAINED MINIMIZATION minimize x IR n f(x) where the objective
More information