ON THE MEAN VALUE OF THE SCBF FUNCTION

Size: px
Start display at page:

Download "ON THE MEAN VALUE OF THE SCBF FUNCTION"

Transcription

1 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 to study the asymtotic roerties of the SCBF function on simle numbers, and give an interesting asymtotic formula for it. SCBF function; Mean value; Asymtotic formula.. Introduction In reference [], the Smarandache Sum of Comosites Between Factors function SCBF n is defined as: The sum of comosite numbers between the smallest rime factor of n and the largest rime factor of n. For eamle, SCBF 40, since 7 4 and the sum of the comosites between and 7 is: In reference []: A number n is called simle number if the roduct of its roer divisors is less than or eual to n. Let A denotes set of all simle numbers. That is, A {,, 4, 5, 6, 7, 8, 9, 0,,, 4, 5, 7, 9,, }. According to reference [], Jason Earls has studied the arithmetical roerties of SCBF n and roved that SCBF n is not a multilicative function. For eamle, SCBF and SCBF 4 SCBF He also got that if i and j are ositive integers then SCBF i 5 j 4, SCBF i 7 j 0, etc. In this aer, we use the elementary method to study the mean value roerties of SCBF n on simle numbers, and give an interesting asymtotic formula for it. That is, we shall rove the following: Theorem. Let, A denotes the set of all simle numbers. Then we have the asymtotic formula where B n n A. Some Lemmas SCBF n B ln + O is a constant, ln denotes the summation over all rimes. To comlete the roof of the theorem, we need the following lemmas:,

2 08 SCIENTIA MAGNA VOL., NO. Lemma. For any rime and ositive integer k, we have the asymtotic formula SCBF k 0. Proof. See reference []. Lemma. Let n A, then we have n, or n, or n, or n four case, where, denote the distinct rimes. Proof. First let n be a ositive integer, d n is the roduct of all ositive divisors of n, that is, d n d n d. dn is the roduct of all ositive divisors of n but n. That is, d n d n,d<nd. Then from the definition of d n we know that d n d n d. d n d n So from this formula we have dn d n d d n n d n n dn. d n where dn d n. Then we may immediately get dn n dn and d n d n,d<n d d n d n dn. n By the definition of the simle numbers, we get n dn n. Therefore, we have dn 4. This ineuality holds only for n, or n, or n, or n four cases. This comletes the roof of Lemma. Lemma. For any distinct rime and, we have the asymtotic formula SCBF + O ln ln Proof. From the definition of SCBF n, we have SCBF n, <n< < < ln where is a rime. Using the Abel s Identity [] and note that the asymtotic formula n n α α+ α + + Oα.

3 On the mean value of the SCBF function 09 we can get SCBF <n< n <n n n n n n + < < < < πtdt ln + ln + O + O π + π ln This comletes the roof of Lemma. Lemma 4. For real number, we have the asymtotic formula SCBF B ln + O ln, where and are two distinct rimes, B denotes the summation over all rimes.. is a constant, and Proof. From the definition of SCBF n and Lemma, Lemma, we get SCBF SCBF SCBF,< SCBF < < Noting that π ln + O < ln ln + ln + O, using Abel s Identity [] we get π π πttdt ln ln + O ln ln.

4 0 SCIENTIA MAGNA VOL., NO. and < ln A f Af ln Atft dt ln 9 ln + O ln, where A <, f ln ln ln + C + O ln. From reference [], we know that, where C is a comutable constant. And then we also get ln + O ln and ln + O ln. Using the same method, we obtain ln ln + O ln and ln ln + O ln. Noting that + ln ln ln + ln ln + + lnm ln m +, then we get the ln following two formulae: < ln ln C ln + O ln + O ln + O + ln ln + ln ln ln ; ln ln + + ln ln + ln ln +

5 On the mean value of the SCBF function < ln 9 ln ln C ln + O where C C So we have where B ln 9 ln + O + ln ln + ln ln + O ln,. < < < + ln B ln + O. Proof of the theorem SCBF ln ln ln + ln + ln + O < + O < ln. This roves Lemma 4., ln < ln ln < ln In this section, we comlete the roof of Theorem. According to the definition of simle numbers and Lemma, we have SCBF n n n A

6 SCIENTIA MAGNA VOL., NO. SCBF + SCBF + SCBF + SCBF. And then, using Lemma and Lemma 4 we obtain SCBF n SCBF n n A This comletes the roof of Theorem. B ln + O ln. Acknowledgments The author eress his gratitude to his suervisor Professor Zhang Weneng for his very helful and detailed instructions. References [] Jason Earls, The Smarandache Sum of Comosites Between Factors Function, Smarandache Notions Journal, 4 004, [] F. Smarandache, Only Problems, Not Solutions, Chicago, Xiuan Publ. House, 99. [] Tom M. Astol, Introduction to Analytic Number Theory, New York, Sringer-Verlag, 976.

On the smallest abundant number not divisible by the first k primes

On the smallest abundant number not divisible by the first k primes 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

More information

arxiv: v3 [math.nt] 10 Jul 2014

arxiv: 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 information

Fractional Liu Process and Applications to Finance

Fractional Liu Process and Applications to Finance Fractional Liu Process and Applications to Finance Zhongfeng Qin, Xin Gao Department of Mathematical Sciences, Tsinghua University, Beijing 84, China qzf5@mails.tsinghua.edu.cn, gao-xin@mails.tsinghua.edu.cn

More information

Sequences, Series, and Probability Part I

Sequences, Series, and Probability Part I Name Chapter 8 Sequences, Series, and Probability Part I Section 8.1 Sequences and Series Objective: In this lesson you learned how to use sequence, factorial, and summation notation to write the terms

More information

Chapter 8 Sequences, Series, and the Binomial Theorem

Chapter 8 Sequences, Series, and the Binomial Theorem Chapter 8 Sequences, Series, and the Binomial Theorem Section 1 Section 2 Section 3 Section 4 Sequences and Series Arithmetic Sequences and Partial Sums Geometric Sequences and Series The Binomial Theorem

More information

ON THE U p OPERATOR IN CHARACTERISTIC p

ON THE U p OPERATOR IN CHARACTERISTIC p ON THE U OPERATOR IN CHARACTERISTIC BRYDEN CAIS Abstract. For a erfect field κ of characteristic > 0, a ositive ingeger N not divisible by, and an arbitrary subgrou Γ of GL 2(Z/NZ), we rove (with mild

More information

Option Pricing Formula for Fuzzy Financial Market

Option Pricing Formula for Fuzzy Financial Market Journal of Uncertain Systems Vol.2, No., pp.7-2, 28 Online at: www.jus.org.uk Option Pricing Formula for Fuzzy Financial Market Zhongfeng Qin, Xiang Li Department of Mathematical Sciences Tsinghua University,

More information

arxiv: v1 [math.nt] 17 May 2013

arxiv: v1 [math.nt] 17 May 2013 ON THE U OPERATOR IN CHARACTERISTIC BRYDEN CAIS arxiv:1305.4188v1 [math.nt] 17 May 2013 Abstract. For a erfect field κ of characteristic > 0, a ositive ingeger N not divisible by, and an arbitrary subgrou

More information

COMBINATORIAL CONVOLUTION SUMS DERIVED FROM DIVISOR FUNCTIONS AND FAULHABER SUMS

COMBINATORIAL 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 information

Confidence Intervals for a Proportion Using Inverse Sampling when the Data is Subject to False-positive Misclassification

Confidence Intervals for a Proportion Using Inverse Sampling when the Data is Subject to False-positive Misclassification Journal of Data Science 13(015), 63-636 Confidence Intervals for a Proortion Using Inverse Samling when the Data is Subject to False-ositive Misclassification Kent Riggs 1 1 Deartment of Mathematics and

More information

CDS Pricing Formula in the Fuzzy Credit Risk Market

CDS Pricing Formula in the Fuzzy Credit Risk Market Journal of Uncertain Systems Vol.6, No.1, pp.56-6, 212 Online at: www.jus.org.u CDS Pricing Formula in the Fuzzy Credit Ris Maret Yi Fu, Jizhou Zhang, Yang Wang College of Mathematics and Sciences, Shanghai

More information

SUBORDINATION BY ORTHOGONAL MARTINGALES IN L p, 1 < p Introduction: Orthogonal martingales and the Beurling-Ahlfors transform

SUBORDINATION 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 information

BETA DISTRIBUTION ON ARITHMETICAL SEMIGROUPS

BETA 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 information

Laurence Boxer and Ismet KARACA

Laurence Boxer and Ismet KARACA THE CLASSIFICATION OF DIGITAL COVERING SPACES Laurence Boxer and Ismet KARACA Abstract. In this paper we classify digital covering spaces using the conjugacy class corresponding to a digital covering space.

More information

Palindromic Permutations and Generalized Smarandache Palindromic Permutations

Palindromic 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 information

( ) ( ) β. max. subject to. ( ) β. x S

( ) ( ) β. max. subject to. ( ) β. x S Intermediate Microeconomic Theory: ECON 5: Alication of Consumer Theory Constrained Maimization In the last set of notes, and based on our earlier discussion, we said that we can characterize individual

More information

Homework #5 7 th week Math 240 Thursday October 24, 2013

Homework #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 information

Pricing theory of financial derivatives

Pricing theory of financial derivatives Pricing theory of financial derivatives One-period securities model S denotes the price process {S(t) : t = 0, 1}, where S(t) = (S 1 (t) S 2 (t) S M (t)). Here, M is the number of securities. At t = 1,

More information

Supplemental Material: Buyer-Optimal Learning and Monopoly Pricing

Supplemental 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 information

More On λ κ closed sets in generalized topological spaces

More 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 information

Option Pricing under Delay Geometric Brownian Motion with Regime Switching

Option Pricing under Delay Geometric Brownian Motion with Regime Switching Science Journal of Applied Mathematics and Statistics 2016; 4(6): 263-268 http://www.sciencepublishinggroup.com/j/sjams doi: 10.11648/j.sjams.20160406.13 ISSN: 2376-9491 (Print); ISSN: 2376-9513 (Online)

More information

SINGLE SAMPLING PLAN FOR VARIABLES UNDER MEASUREMENT ERROR FOR NON-NORMAL DISTRIBUTION

SINGLE SAMPLING PLAN FOR VARIABLES UNDER MEASUREMENT ERROR FOR NON-NORMAL DISTRIBUTION ISSN -58 (Paer) ISSN 5-5 (Online) Vol., No.9, SINGLE SAMPLING PLAN FOR VARIABLES UNDER MEASUREMENT ERROR FOR NON-NORMAL DISTRIBUTION Dr. ketki kulkarni Jayee University of Engineering and Technology Guna

More information

FUZZY PRIME L-FILTERS

FUZZY 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 information

Equivalence between Semimartingales and Itô Processes

Equivalence between Semimartingales and Itô Processes International Journal of Mathematical Analysis Vol. 9, 215, no. 16, 787-791 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/1.12988/ijma.215.411358 Equivalence between Semimartingales and Itô Processes

More information

STOCHASTIC CALCULUS AND BLACK-SCHOLES MODEL

STOCHASTIC CALCULUS AND BLACK-SCHOLES MODEL STOCHASTIC CALCULUS AND BLACK-SCHOLES MODEL YOUNGGEUN YOO Abstract. Ito s lemma is often used in Ito calculus to find the differentials of a stochastic process that depends on time. This paper will introduce

More information

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

By choosing to view this document, you agree to all provisions of the copyright laws protecting it. Coyright 2015 IEEE. Rerinted, with ermission, from Huairui Guo, Ferenc Szidarovszky, Athanasios Gerokostooulos and Pengying Niu, On Determining Otimal Insection Interval for Minimizing Maintenance Cost,

More information

Information and uncertainty in a queueing system

Information 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 information

On Machin s formula with Powers of the Golden Section

On 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 information

ON JARQUE-BERA TESTS FOR ASSESSING MULTIVARIATE NORMALITY

ON JARQUE-BERA TESTS FOR ASSESSING MULTIVARIATE NORMALITY Journal of Statistics: Advances in Theory and Alications Volume, umber, 009, Pages 07-0 O JARQUE-BERA TESTS FOR ASSESSIG MULTIVARIATE ORMALITY KAZUYUKI KOIZUMI, AOYA OKAMOTO and TAKASHI SEO Deartment of

More information

Chapter 1 Interest Rates

Chapter 1 Interest Rates Chapter 1 Interest Rates principal X = original amount of investment. accumulated value amount of interest S = terminal value of the investment I = S X rate of interest S X X = terminal initial initial

More information

Pricing in the Multi-Line Insurer with Dependent Gamma Distributed Risks allowing for Frictional Costs of Capital

Pricing in the Multi-Line Insurer with Dependent Gamma Distributed Risks allowing for Frictional Costs of Capital Pricing in the Multi-Line Insurer with Dependent Gamma Distributed Risks allowing for Frictional Costs of Capital Zinoviy Landsman Department of Statistics, Actuarial Research Centre, University of Haifa

More information

Brownian Motion, the Gaussian Lévy Process

Brownian 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 information

A Property Equivalent to n-permutability for Infinite Groups

A 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 information

The Monthly Payment. ( ) ( ) n. P r M = r 12. k r. 12C, which must be rounded up to the next integer.

The 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 information

Int. Statistical Inst.: Proc. 58th World Statistical Congress, 2011, Dublin (Session CPS019) p.4301

Int. 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 information

Numerical Solution of BSM Equation Using Some Payoff Functions

Numerical Solution of BSM Equation Using Some Payoff Functions Mathematics Today Vol.33 (June & December 017) 44-51 ISSN 0976-38, E-ISSN 455-9601 Numerical Solution of BSM Equation Using Some Payoff Functions Dhruti B. Joshi 1, Prof.(Dr.) A. K. Desai 1 Lecturer in

More information

INDEX NUMBERS. Introduction

INDEX NUMBERS. Introduction INDEX NUMBERS Introduction Index numbers are the indicators which reflect changes over a secified eriod of time in rices of different commodities industrial roduction (iii) sales (iv) imorts and exorts

More information

Generalized I of strongly Lacunary of χ 2 over p metric spaces defined by Musielak Orlicz function

Generalized 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 information

Cumulants and triangles in Erdős-Rényi random graphs

Cumulants and triangles in Erdős-Rényi random graphs Cumulants and triangles in Erdős-Rényi random graphs Valentin Féray partially joint work with Pierre-Loïc Méliot (Orsay) and Ashkan Nighekbali (Zürich) Institut für Mathematik, Universität Zürich Probability

More information

No-arbitrage theorem for multi-factor uncertain stock model with floating interest rate

No-arbitrage theorem for multi-factor uncertain stock model with floating interest rate Fuzzy Optim Decis Making 217 16:221 234 DOI 117/s17-16-9246-8 No-arbitrage theorem for multi-factor uncertain stock model with floating interest rate Xiaoyu Ji 1 Hua Ke 2 Published online: 17 May 216 Springer

More information

Mechanisms for House Allocation with Existing Tenants under Dichotomous Preferences

Mechanisms for House Allocation with Existing Tenants under Dichotomous Preferences Mechanisms for House Allocation with Existing Tenants under Dichotomous Preferences Haris Aziz Data61 and UNSW, Sydney, Australia Phone: +61-294905909 Abstract We consider house allocation with existing

More information

BINOMIAL TRANSFORMS OF QUADRAPELL SEQUENCES AND QUADRAPELL MATRIX SEQUENCES

BINOMIAL TRANSFORMS OF QUADRAPELL SEQUENCES AND QUADRAPELL MATRIX SEQUENCES Journal of Science and Arts Year 17, No. 1(38), pp. 69-80, 2017 ORIGINAL PAPER BINOMIAL TRANSFORMS OF QUADRAPELL SEQUENCES AND QUADRAPELL MATRIX SEQUENCES CAN KIZILATEŞ 1, NAIM TUGLU 2, BAYRAM ÇEKİM 2

More information

Optimal Production-Inventory Policy under Energy Buy-Back Program

Optimal Production-Inventory Policy under Energy Buy-Back Program The inth International Symposium on Operations Research and Its Applications (ISORA 10) Chengdu-Jiuzhaigou, China, August 19 23, 2010 Copyright 2010 ORSC & APORC, pp. 526 532 Optimal Production-Inventory

More information

A No-Arbitrage Theorem for Uncertain Stock Model

A No-Arbitrage Theorem for Uncertain Stock Model Fuzzy Optim Decis Making manuscript No (will be inserted by the editor) A No-Arbitrage Theorem for Uncertain Stock Model Kai Yao Received: date / Accepted: date Abstract Stock model is used to describe

More information

market opportunity line fair odds line Example 6.6, p. 120.

market opportunity line fair odds line Example 6.6, p. 120. September 5 The market opportunity line depicts in the plane the different combinations of outcomes and that are available to the individual at the prevailing market prices, depending on how much of an

More information

Feb. 4 Math 2335 sec 001 Spring 2014

Feb. 4 Math 2335 sec 001 Spring 2014 Feb. 4 Math 2335 sec 001 Spring 2014 Propagated Error in Function Evaluation Let f (x) be some differentiable function. Suppose x A is an approximation to x T, and we wish to determine the function value

More information

Exponential martingales and the UI martingale property

Exponential martingales and the UI martingale property u n i v e r s i t y o f c o p e n h a g e n d e p a r t m e n t o f m a t h e m a t i c a l s c i e n c e s Faculty of Science Exponential martingales and the UI martingale property Alexander Sokol Department

More information

Worst-case evaluation complexity of regularization methods for smooth unconstrained optimization using Hölder continuous gradients

Worst-case evaluation complexity of regularization methods for smooth unconstrained optimization using Hölder continuous gradients Worst-case evaluation comlexity of regularization methods for smooth unconstrained otimization using Hölder continuous gradients C Cartis N I M Gould and Ph L Toint 26 June 205 Abstract The worst-case

More information

CONSTRUCTION OF CODES BY LATTICE VALUED FUZZY SETS. 1. Introduction. Novi Sad J. Math. Vol. 35, No. 2, 2005,

CONSTRUCTION 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 information

Computational Independence

Computational Independence Computational Independence Björn Fay mail@bfay.de December 20, 2014 Abstract We will introduce different notions of independence, especially computational independence (or more precise independence by

More information

Laurence Boxer and Ismet KARACA

Laurence Boxer and Ismet KARACA SOME PROPERTIES OF DIGITAL COVERING SPACES Laurence Boxer and Ismet KARACA Abstract. In this paper we study digital versions of some properties of covering spaces from algebraic topology. We correct and

More information

Chapter 1 Monetary Policy

Chapter 1 Monetary Policy 13 Chapter 1 1. The Model An increase in money supply lowers unemployment. On the other hand, it raises inflation. In the numerical example, a unit increase in money supply lowers the rate of unemployment

More information

Generalization by Collapse

Generalization by Collapse Generalization by Collapse Monroe Eskew University of California, Irvine meskew@math.uci.edu March 31, 2012 Monroe Eskew (UCI) Generalization by Collapse March 31, 2012 1 / 19 Introduction Our goal is

More information

MAC Learning Objectives. Learning Objectives (Cont.)

MAC Learning Objectives. Learning Objectives (Cont.) MAC 1140 Module 12 Introduction to Sequences, Counting, The Binomial Theorem, and Mathematical Induction Learning Objectives Upon completing this module, you should be able to 1. represent sequences. 2.

More information

Greek parameters of nonlinear Black-Scholes equation

Greek parameters of nonlinear Black-Scholes equation International Journal of Mathematics and Soft Computing Vol.5, No.2 (2015), 69-74. ISSN Print : 2249-3328 ISSN Online: 2319-5215 Greek parameters of nonlinear Black-Scholes equation Purity J. Kiptum 1,

More information

A TRAJECTORIAL INTERPRETATION OF DOOB S MARTINGALE INEQUALITIES

A TRAJECTORIAL INTERPRETATION OF DOOB S MARTINGALE INEQUALITIES A RAJECORIAL INERPREAION OF DOOB S MARINGALE INEQUALIIES B. ACCIAIO, M. BEIGLBÖCK, F. PENKNER, W. SCHACHERMAYER, AND J. EMME Abstract. We resent a unified aroach to Doob s L maximal inequalities for 1

More information

The 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) 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 information

1. MAPLE. Objective: After reading this chapter, you will solve mathematical problems using Maple

1. MAPLE. Objective: After reading this chapter, you will solve mathematical problems using Maple 1. MAPLE Objective: After reading this chapter, you will solve mathematical problems using Maple 1.1 Maple Maple is an extremely powerful program, which can be used to work out many different types of

More information

CLIQUE OPTION PRICING

CLIQUE OPTION PRICING CLIQUE OPTION PRICING Mark Ioffe Abstract We show how can be calculated Clique option premium. If number of averaging dates enough great we use central limit theorem for stochastic variables and derived

More information

TWO-PERIODIC TERNARY RECURRENCES AND THEIR BINET-FORMULA 1. INTRODUCTION

TWO-PERIODIC TERNARY RECURRENCES AND THEIR BINET-FORMULA 1. INTRODUCTION TWO-PERIODIC TERNARY RECURRENCES AND THEIR BINET-FORMULA M. ALP, N. IRMAK and L. SZALAY Abstract. The properties of k-periodic binary recurrences have been discussed by several authors. In this paper,

More information

A note on the number of (k, l)-sum-free sets

A 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 information

Local vs Non-local Forward Equations for Option Pricing

Local vs Non-local Forward Equations for Option Pricing Local vs Non-local Forward Equations for Option Pricing Rama Cont Yu Gu Abstract When the underlying asset is a continuous martingale, call option prices solve the Dupire equation, a forward parabolic

More information

6: MULTI-PERIOD MARKET MODELS

6: MULTI-PERIOD MARKET MODELS 6: MULTI-PERIOD MARKET MODELS Marek Rutkowski School of Mathematics and Statistics University of Sydney Semester 2, 2016 M. Rutkowski (USydney) 6: Multi-Period Market Models 1 / 55 Outline We will examine

More information

Sequential Investment, Hold-up, and Strategic Delay

Sequential Investment, Hold-up, and Strategic Delay Sequential Investment, Hold-up, and Strategic Delay Juyan Zhang and Yi Zhang February 20, 2011 Abstract We investigate hold-up in the case of both simultaneous and sequential investment. We show that if

More information

Sequential Investment, Hold-up, and Strategic Delay

Sequential Investment, Hold-up, and Strategic Delay Sequential Investment, Hold-up, and Strategic Delay Juyan Zhang and Yi Zhang December 20, 2010 Abstract We investigate hold-up with simultaneous and sequential investment. We show that if the encouragement

More information

Ordinary Mixed Life Insurance and Mortality-Linked Insurance Contracts

Ordinary Mixed Life Insurance and Mortality-Linked Insurance Contracts Ordinary Mixed Life Insurance and Mortality-Linked Insurance Contracts M.Sghairi M.Kouki February 16, 2007 Abstract Ordinary mixed life insurance is a mix between temporary deathinsurance and pure endowment.

More information

Lecture 2. Main Topics: (Part II) Chapter 2 (2-7), Chapter 3. Bayes Theorem: Let A, B be two events, then. The probabilities P ( B), probability of B.

Lecture 2. Main Topics: (Part II) Chapter 2 (2-7), Chapter 3. Bayes Theorem: Let A, B be two events, then. The probabilities P ( B), probability of B. STT315, Section 701, Summer 006 Lecture (Part II) Main Toics: Chater (-7), Chater 3. Bayes Theorem: Let A, B be two events, then B A) = A B) B) A B) B) + A B) B) The robabilities P ( B), B) are called

More information

Basic Concepts and Examples in Finance

Basic Concepts and Examples in Finance Basic Concepts and Examples in Finance Bernardo D Auria email: bernardo.dauria@uc3m.es web: www.est.uc3m.es/bdauria July 5, 2017 ICMAT / UC3M The Financial Market The Financial Market We assume there are

More information

Lecture 14: Basic Fixpoint Theorems (cont.)

Lecture 14: Basic Fixpoint Theorems (cont.) Lecture 14: Basic Fixpoint Theorems (cont) Predicate Transformers Monotonicity and Continuity Existence of Fixpoints Computing Fixpoints Fixpoint Characterization of CTL Operators 1 2 E M Clarke and E

More information

A Multi-Objective Approach to Portfolio Optimization

A Multi-Objective Approach to Portfolio Optimization RoseHulman Undergraduate Mathematics Journal Volume 8 Issue Article 2 A MultiObjective Aroach to Portfolio Otimization Yaoyao Clare Duan Boston College, sweetclare@gmail.com Follow this and additional

More information

The proof of Twin Primes Conjecture. Author: Ramón Ruiz Barcelona, Spain August 2014

The proof of Twin Primes Conjecture. Author: Ramón Ruiz Barcelona, Spain   August 2014 The proof of Twin Primes Conjecture Author: Ramón Ruiz Barcelona, Spain Email: ramonruiz1742@gmail.com August 2014 Abstract. Twin Primes Conjecture statement: There are infinitely many primes p such that

More information

Optimal trading strategies under arbitrage

Optimal trading strategies under arbitrage Optimal trading strategies under arbitrage Johannes Ruf Columbia University, Department of Statistics The Third Western Conference in Mathematical Finance November 14, 2009 How should an investor trade

More information

February 2 Math 2335 sec 51 Spring 2016

February 2 Math 2335 sec 51 Spring 2016 February 2 Math 2335 sec 51 Spring 2016 Section 3.1: Root Finding, Bisection Method Many problems in the sciences, business, manufacturing, etc. can be framed in the form: Given a function f (x), find

More information

Comparative Statics. What happens if... the price of one good increases, or if the endowment of one input increases? Reading: MWG pp

Comparative Statics. What happens if... the price of one good increases, or if the endowment of one input increases? Reading: MWG pp What happens if... the price of one good increases, or if the endowment of one input increases? Reading: MWG pp. 534-537. Consider a setting with two goods, each being produced by two factors 1 and 2 under

More information

CLAIM HEDGING IN AN INCOMPLETE MARKET

CLAIM HEDGING IN AN INCOMPLETE MARKET Vol 18 No 2 Journal of Systems Science and Complexity Apr 2005 CLAIM HEDGING IN AN INCOMPLETE MARKET SUN Wangui (School of Economics & Management Northwest University Xi an 710069 China Email: wans6312@pubxaonlinecom)

More information

Applied Mathematics Letters

Applied Mathematics Letters Applied Mathematics Letters 23 (2010) 286 290 Contents lists available at ScienceDirect Applied Mathematics Letters journal homepage: wwwelseviercom/locate/aml The number of spanning trees of a graph Jianxi

More information

American Option Pricing Formula for Uncertain Financial Market

American Option Pricing Formula for Uncertain Financial Market American Option Pricing Formula for Uncertain Financial Market Xiaowei Chen Uncertainty Theory Laboratory, Department of Mathematical Sciences Tsinghua University, Beijing 184, China chenxw7@mailstsinghuaeducn

More information

On the Distribution and Its Properties of the Sum of a Normal and a Doubly Truncated Normal

On the Distribution and Its Properties of the Sum of a Normal and a Doubly Truncated Normal The Korean Communications in Statistics Vol. 13 No. 2, 2006, pp. 255-266 On the Distribution and Its Properties of the Sum of a Normal and a Doubly Truncated Normal Hea-Jung Kim 1) Abstract This paper

More information

3.1 Measures of Central Tendency

3.1 Measures of Central Tendency 3.1 Measures of Central Tendency n Summation Notation x i or x Sum observation on the variable that appears to the right of the summation symbol. Example 1 Suppose the variable x i is used to represent

More information

An Integral Approach for Computation of Cost-Benefit and Returns to Investment in Education

An Integral Approach for Computation of Cost-Benefit and Returns to Investment in Education IN 2240 0524 Journal of Educational and ocial Research Vol. 1 (2) eptember 2011 An Integral Approach for Computation of Cost-Benefit and Returns to Investment in Education Etukudo, Udobia Elijah Mathematics

More information

On the Power of Structural Violations in Priority Queues

On the Power of Structural Violations in Priority Queues On the Power of Structural Violations in Priority Queues Amr Elmasry 1, Claus Jensen 2, Jyrki Katajainen 2, 1 Comuter Science Deartment, Alexandria University Alexandria, Egyt 2 Deartment of Comuting,

More information

OPTIMAL PORTFOLIO CONTROL WITH TRADING STRATEGIES OF FINITE

OPTIMAL 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 information

A NOTE ON A SQUARE-ROOT RULE FOR REINSURANCE. Michael R. Powers and Martin Shubik. June 2005 COWLES FOUNDATION DISCUSSION PAPER NO.

A NOTE ON A SQUARE-ROOT RULE FOR REINSURANCE. Michael R. Powers and Martin Shubik. June 2005 COWLES FOUNDATION DISCUSSION PAPER NO. A NOTE ON A SQUARE-ROOT RULE FOR REINSURANCE By Michael R. Powers and Martin Shubik June 2005 COWLES FOUNDATION DISCUSSION PAPER NO. 1521 COWLES FOUNDATION FOR RESEARCH IN ECONOMICS YALE UNIVERSITY Box

More information

HIGHER ORDER BINARY OPTIONS AND MULTIPLE-EXPIRY EXOTICS

HIGHER ORDER BINARY OPTIONS AND MULTIPLE-EXPIRY EXOTICS Electronic Journal of Mathematical Analysis and Applications Vol. (2) July 203, pp. 247-259. ISSN: 2090-792X (online) http://ejmaa.6te.net/ HIGHER ORDER BINARY OPTIONS AND MULTIPLE-EXPIRY EXOTICS HYONG-CHOL

More information

508-B (Statistics Camp, Wash U, Summer 2016) Asymptotics. Author: Andrés Hincapié and Linyi Cao. This Version: August 9, 2016

508-B (Statistics Camp, Wash U, Summer 2016) Asymptotics. Author: Andrés Hincapié and Linyi Cao. This Version: August 9, 2016 Asymtotics Author: Anrés Hincaié an Linyi Cao This Version: August 9, 2016 Asymtotics 3 In arametric moels, we usually assume that the oulation follows some istribution F (x θ) with unknown θ. Knowing

More information

Some Bounds for the Singular Values of Matrices

Some 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 information

Managing Value at Risk Using Put Options

Managing Value at Risk Using Put Options Managing Value at Risk Using Put Options Maciej J. Capiński May 18, 2009 AGH University of Science and Technology, Faculty of Applied Mathematics al. Mickiewicza 30, 30-059 Kraków, Poland e-mail: mcapinsk@wms.mat.agh.edu.pl

More information

MTH6154 Financial Mathematics I Interest Rates and Present Value Analysis

MTH6154 Financial Mathematics I Interest Rates and Present Value Analysis 16 MTH6154 Financial Mathematics I Interest Rates and Present Value Analysis Contents 2 Interest Rates 16 2.1 Definitions.................................... 16 2.1.1 Rate of Return..............................

More information

Valuation of performance-dependent options in a Black- Scholes framework

Valuation of performance-dependent options in a Black- Scholes framework Valuation of performance-dependent options in a Black- Scholes framework Thomas Gerstner, Markus Holtz Institut für Numerische Simulation, Universität Bonn, Germany Ralf Korn Fachbereich Mathematik, TU

More information

5.1 Regional investment attractiveness in an unstable and risky environment

5.1 Regional investment attractiveness in an unstable and risky environment 5.1 Regional investment attractiveness in an unstable and risky environment Nikolova Liudmila Ekaterina Plotnikova Sub faculty Finances and monetary circulation Saint Petersburg state olytechnical university,

More information

Drunken Birds, Brownian Motion, and Other Random Fun

Drunken Birds, Brownian Motion, and Other Random Fun Drunken Birds, Brownian Motion, and Other Random Fun Michael Perlmutter Department of Mathematics Purdue University 1 M. Perlmutter(Purdue) Brownian Motion and Martingales Outline Review of Basic Probability

More information

Realizability 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 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 information

A relation on 132-avoiding permutation patterns

A relation on 132-avoiding permutation patterns Discrete Mathematics and Theoretical Computer Science DMTCS vol. VOL, 205, 285 302 A relation on 32-avoiding permutation patterns Natalie Aisbett School of Mathematics and Statistics, University of Sydney,

More information

Fractional Graphs. Figure 1

Fractional Graphs. Figure 1 Fractional Graphs Richard H. Hammack Department of Mathematics and Applied Mathematics Virginia Commonwealth University Richmond, VA 23284-2014, USA rhammack@vcu.edu Abstract. Edge-colorings are used to

More information

arxiv: v2 [q-fin.pr] 23 Nov 2017

arxiv: v2 [q-fin.pr] 23 Nov 2017 VALUATION OF EQUITY WARRANTS FOR UNCERTAIN FINANCIAL MARKET FOAD SHOKROLLAHI arxiv:17118356v2 [q-finpr] 23 Nov 217 Department of Mathematics and Statistics, University of Vaasa, PO Box 7, FIN-6511 Vaasa,

More information

European call option with inflation-linked strike

European call option with inflation-linked strike Mathematical Statistics Stockholm University European call option with inflation-linked strike Ola Hammarlid Research Report 2010:2 ISSN 1650-0377 Postal address: Mathematical Statistics Dept. of Mathematics

More information

Fuzzy L-Quotient Ideals

Fuzzy L-Quotient Ideals International Journal of Fuzzy Mathematics and Systems. ISSN 2248-9940 Volume 3, Number 3 (2013), pp. 179-187 Research India Publications http://www.ripublication.com Fuzzy L-Quotient Ideals M. Mullai

More information

NEW UPPER AND LOWER BOUND SIFTING ITERATIONS

NEW UPPER AND LOWER BOUND SIFTING ITERATIONS NEW UPPER AND LOWER BOUND SIFTING ITERATIONS ZARATHUSTRA BRADY. Introduction Let A be a oibl eighted et of hole number and for each oitive integer d et A d = {a A d a}. Suoe that κ z are uch that for ever

More information

Interpolation of κ-compactness and PCF

Interpolation 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 information

Solution of Black-Scholes Equation on Barrier Option

Solution of Black-Scholes Equation on Barrier Option Journal of Informatics and Mathematical Sciences Vol. 9, No. 3, pp. 775 780, 2017 ISSN 0975-5748 (online); 0974-875X (print) Published by RGN Publications http://www.rgnpublications.com Proceedings of

More information