CLOSED FORM EVALUATION OF RESTRICTED SUMS CONTAINING SQUARES OF FIBONOMIAL COEFFICIENTS

Size: px
Start display at page:

Download "CLOSED FORM EVALUATION OF RESTRICTED SUMS CONTAINING SQUARES OF FIBONOMIAL COEFFICIENTS"

Transcription

1 PB Sci Bull, Series A, Vol 78, Iss 4, 2016 ISSN CLOSED FORM EVALATION OF RESTRICTED SMS CONTAINING SQARES OF FIBONOMIAL COEFFICIENTS Emrah Kılıc 1, Helmu Prodiger 2 We give a sysemaic approach o compue cerai sums of suares Fiboomial coefficies wih powers of geeralized Fiboacci ad Lucas umbers as coefficies; he rage of he summaio is o he aural oe bu abou half of i The echiue is o rewrie everyhig i erms of a variable, ad he o use geeraig fucios ad Rohe s ideiy from classical -calculus Keywords: Gaussia -biomial coefficies, Fiboomial coefficies, -aalysis, sums ideiies 11B39, 05A30 1 Iroducio Defie he secod order liear seueces { } ad {V } for 2 by p 1 + 2, 0 0, 1 1, V pv 1 + V 2, V 0 2, V 1 p These recurrece relaios ca also be exeded i he bacward direcio Thus +2 p , V V +2 pv +1 1 V For 1 ad a ieger m, defie he geeralized Fiboomial coefficie wih idices i a arihmeic progressio by { } m 2m m : ;m m 2m m m 2m m wih { 0 };m { } 1 ad 0 oherwise Whe p m 1, we obai he usual Fiboomial coefficies, deoed by { } ;m Whe m 1, we obai he geeralized Fiboomial F coefficies, deoed by { };1 We will freuely deoe { };1 by { } I his paper, we are ieresed i sums icludig he suare of Fiboomial coefficies of he form { 2 2 +} A addiioal challege is here ha he rage of summaio is o he full rage bu oly abou half of i, amely 0 We maily prese hree ses of ideiies which are expressed i he oio of { } 2 wih m 1, 2 More ;m imporaly, we describe a geeral mehodology how o evaluae hese sums, which will be applicable o may ohers as well Our approach is as follows For a ieger, we use he Bie forms α β α β 1 α 1 1 ad V α + β α Professor, TOBB iversiy of Ecoomics ad Techology Mahemaics Deparme Aara, Turey, eilic@euedur 2 Professor, Deparme of Mahemaics, iversiy of Sellebosch 7602 Sellebosch Souh Africa, : hprodig@suacza 57

2 58 Emrah Kılıc, Helmu Prodiger wih β/α α 2, so ha α i/ where α, β p ± /2 ad p Throughou his paper we will use he followig oaios: he -Pochhammer symbol x; 1 x1 x 1 x 1 ad he Gaussia -biomial coefficies [ ] ; ; ; The li bewee he geeralized Fiboomial ad Gaussia -biomial coefficies is { } α m wih α 2 ;m m We recall ha oe versio of he Cauchy biomial heorem is give by +1 [ 2 x ] 1 + x, ad Rohe s formula [1] is [ x ] x; 1 x All he ideiies we will derive hold for geeral, ad resuls abou geeralized Fiboacci ad Lucas umbers come ou as corollaries for he special choice of Recely, he auhors of [2, 4] compued cerai Fiboomial sums wih geeralized Fiboacci ad Lucas umbers as coefficies For example, if ad m are boh oegaive iegers, he { 2m 1 P,m 1 m 1 { + 1 2m P,m { V 2m 1 P,m { + 1 V 2m P,m { m 1 4 2, 2 1 m m 1 { m 2+12, 2 } { 2m m V 4 2, { m V 2+12, 2 as well as heir aleraig aalogues were also preseed, where m V 2 if m, P,m m 1 V 1 2 if < m 1 More recely, Kilic ad Prodiger [3] give a sysemaic approach for compuig he sums of he form: { λ1+r 1 λs+r s i closed form, where r i ad λ i 1 are iegers I his paper we ivesigae sums coaiig he suare of Fiboomial coefficies wih he powers of geeralized Fiboacci ad Lucas umbers, over half he aural summaio rage The approach wors for Fiboacci ad Lucas -ype umbers as facors liewise We discuss boh, he Fiboacci ad Lucas isaces, where he rage of summaios is over all o-egaive iegers i e, abou half of he possible umber of erms For isaces

3 Closed form evaluaio of resriced sums coaiig suares of Fiboomial coefficies 59 wih he full rage of summaios, we refie ourselves o prese a few represeaive formulæ wihou preseig heir derivaios as well as 2 A sysemaic approach We are ow ieresed o evaluae he followig wo ids of sums { 2 { i 1 m1 V m 2 2 m 3 ad ii 1 m1 m 2 m 3 iii { 2 1 m 1 V m2 m 3 ad iv { 2 1 m 1 m2 m 3 i closed form where m i are iegers The sums of he ype i will be raslaed io -oaio: [ m1++ i m 3m m 3m m 3 m2 For our mehod o wor, firsly he facor 1 mus appear ad secodly he erm for mus coicide wih he erm for Tha meas ha we have wo possibiliies for he firs codiio: m 2 is eve, m 3 is eve such ha 2m 1 m 2 m 3 The we are able o evaluae he sums { 2 i closed form Their -forms are rs V 2s r ad { 2 1 rs V2r s [ rs 1 + r 2s ad [ rs 1 + 2r s, 1 respecively Now we will examie wheher he secod codiio is saisfied We cosider he erm for ad igore cosa facors, [ 2 [ rs 1 + r 2s 1 2 +rs 1 + r [ 2s 2 which is he erm for Thus we have ha [ rs 1 + r 2s [ 2 2 2s rs r + 1 2s, [ rs 1 + r 2s

4 60 Emrah Kılıc, Helmu Prodiger Now we compue he sum over he full rage: [ 2 of he form rs 1 + r 2s [ rs 1 + r 2s 1 2 +rs 2 2s 1 2 +rs [ 2 2s 2s rs r 2 2s r [ rs+r 2s 1 2 +rs 2s 2 [ 2 r rs Thus, coceraig o he ier sums, we have o evaluae a fiie umber of erms 2 [ µ, where µ r s is a ieger Now we will explai how his ca be doe Cosider 2 [ µ 22 + [ z 2] [ z 2] z ] [ 2 2 z 22 + [ z 2] z; 2 z µ ; Summarizig, he sum of ieres is evaluaed as [ rs 1 + r 2s 2 2s 1 [ s 2 +rs µ z µ z 2s r [ z 2] z; 2 z µ ; 2, where µ is defied as before I order o evaluae [ z 2] z; 2 z µ ; 2, we observe ha here are facors 1 z i ad 1 + z i ha ca be combied o 1 z 2 2i Tha is he reaso ha we eed he facor 1 i our sums, as meioed before I fac, here are 2 µ such pairs, ad oly 2 µ separae facors They mess up he fial resul, bu sice µ is a cosa o depedig o, we sill ge a closed from evaluaio We have o evaluae a fiie umber of erms of he form [z 2 ]z a b z 2 c ; 2 2 µ b [z 2 a ]z 2 c ; 2 2 µ This is eiher 0 for 2 a odd or c2 a b+ 2 µ 2 2 a 1 a 2 a/2 a/

5 Closed form evaluaio of resriced sums coaiig suares of Fiboomial coefficies 61 oherwise Eveually we ed up wih a fiie liear combiaio of erms of he form [ µ a/2 for some iegers µ ad a The fial sep is o raslae such a resul bac o expressios i erms of 2 µ ad simplify accordig o he Bie formula relaed o he recursio of a/2 ;2 secod order for For 1, he secod par of i, we ca chec i he same way ha our wo codiios are saisfied Thus we may wrie [ rs 1 + 2r s [ 2 2 s [ rs 1 + 2r s 2 Now, similar o he previous case, we wrie [ 2 1 rs 1 + 2r s + 2 +rs 1 s 2 s 2 2r [ rs 2, which, by usig our previous resul, euals s 2 +rs+1 1 s 2r [ z 2] z; 2 z µ ; 2, where µ r s 2 Therefore we have [ 2 [ 2 where µ r s rs 1 + 2r s 2 s s +rs s 2r [ z 2] z; 2 z µ ;, 2 Now we move o sums of ype ii ad raslae hem io -oaio: [ 2 1 m m1+ i m 2m m 2m m m 3 2 For our mehod o wor, we reuire ha m 2 is eve such ha 2m 1 m 2 m 3 The we are able o evaluae he sums { 2 1 rs r 2s i closed form I -oaio, we have o evaluae [ 1 2s 1 s 2 s 2 1 rs 1 r 2s

6 62 Emrah Kılıc, Helmu Prodiger Sice he erm for 0 evaluaes o 0 ad we have agai symmery bewee ad we ca wrie [ 2 1 rs 1 r 2s 1 [ 2 1 rs 1 r 2s 2 Now we deal wih he full rage summaio [ 2 1 rs 1 r 2s 2s [ 2 2s 1 2s 1 rs which, by aig isead of, euals 2s 1 r [ 2 1 rs 2s 1 2s rs Thus, we agai ecouer erms of he form [ µ, [ rs where µ r s is a ieger The reame of hese erms is covered by he previous discussio Summarizig, our evaluaio aes he form [ 2 where µ is defied as before 2 rs 1 1 r 2s 1 2s s 1 µ [ z 2] z; 2 z µ ; 2, I he remaiig secios, his geeral program will be illusraed i more deail o four examples Furher, we will lis several aracive formulæ ha were obaied usig he procedure jus described Fially we prese resuls o he sums wih full summaio rage 3 Illusraive Examples Now we wor ou four examples ha fall io he geeral scheme meioed above i more deail Also we will prese some addiioal examples wihou proof Theorem 31 For > 1, { 2 { 2 V2 2 2 ;1 { + ;1 ;2 { ; V 2 { }, ;2

7 Closed form evaluaio of resriced sums coaiig suares of Fiboomial coefficies 63 where is defied as before Proof Firs we cover he lef-had side of he claim i -oaio: { 2 [ 2 V2 2 α 22 2 α [ 2 α 22 [ 2 α 22 α Secod we cover he righ-had side of he claim i -oaio, sippig deails: { { } { } { } V 2 ;1 ;2 ;2 1 ;2 [ α So we eed o prove ha [ [ [ [ [ Thus, accordig o our approach, we wrie [ [ [ z 2] z; z 21 ; 2 [ [ z 2 ] z; 2 z 2 ; [ z 2] z; 2 z; [ z 2] z; 2 z 2 ; 2 [ [ +3 z 2 ] z 2 ; z z z/ 2 1 z/ [ z 2] z 2 ; 2 + [ 2 4 z 2] 1 + z 1 + z 1 z z 2 z 2 ; 2 2 z 2 ; 2 2 [ [ z 2] z 2 ; 2 + [ z 2] z 2 ; z z [ z 2] ] 2

8 64 Emrah Kılıc, Helmu Prodiger which, by Rohe s formula ad afer some rearragemes, euals [ ] [ ] [ ] as claimed [ 2 2 [ [ [ ] 2, +4 4[ Theorem 32 For > 1, { 2 1 V 2 ;1 { { } ;1 ;2 Proof Firs we cover he lef-had side of he claim i -oaio: { 2 [ 1 2 V ;1 Secod we cover he righ-had side of he claim i -oaio: { { } [ ;1 ;2 Thus we eed o prove ha [ [ Thus, accordig o our approach, we wrie [ [ [z 2 ] z; 2 z 1 ; + [ 2 2 z 2] z; 2 z; 2 [ [ z 2 ] z 2 ; z/ 1 + z [ z 2] z; 2 1 z; z 1 z 2 2

9 Closed form evaluaio of resriced sums coaiig suares of Fiboomial coefficies 65 [ 2 [ [ as desired; we sipped a few simple iermediae seps for breviy Theorem 33 For oegaive, { 2 + 2, { 1 1 ;2 Proof Followig he program oulied before, we eed o prove ha [ Thus, accordig o our approach, we evaluae he sum as follows, oly givig some ey seps: [ [ z 2] z; 2 z/; 2 2 [ z 2] z; 2 z; 2 + [ z 2] z; 2 z; [ z 2] 1 z/ z; 2 1 z; z [ z 2] z 2 ; [ z 2] 1 + z z; 2 1 z; z 2 1 ] [ which, by some simple rearragemes, euals as claimed 2, Theorem 34 For oegaive, { { Proof The ideiy i -form is [ 2 + Thus we wrie [ } ;

10 66 Emrah Kılıc, Helmu Prodiger [ z 2] 1 z/ 2 1 z/ 1 + z z 2 2 z; 2 2 z; [ z 2] z 2 ; [ 2 z 2] 1 + z 1 + z 1 z 2 1 z 2+1 z 2 ; 2 2 z 2 ; [ z 2] z 2 ; z z 4 2 [ z 2] z 2 ; [ z 2] z 2 4 ; which, by Rohe s formula, euals as claimed [ ] 2, [ Now we will prese a few addiioal resuls wihou explici proofs; hey ca be doe i exacly he same way as he previous examples: Theorem 35 1 For > 1, { { V For oegaive, { V 2 1 V 2 { ;2 To fiish, we prese wo examples where he sums are over he full summaio rage Theorem 36 1 For oegaive, { For > 0, V V 2 { ;2 { 2 V 2 1 2V { } ;2 R E F E R E N C E S [1] G E Adrews, R Asey, R Roy, Special fucios, Cambridge iversiy Press, 2000 [2] E Kılıç, H Prodiger, I Auş, H Ohsua, Formulas for Fiboomial Sums wih geeralized Fiboacci ad Lucas coefficies, The Fiboacci Quarerly 49:4 2011, pp [3] E Kılıç ad H Prodiger, Closed form evaluaio of sums coaiig suares of Fiboomial coefficies, acceped by Mahemaica Slovaca [4] E Kılıç, H Ohsua, I Auş, Some geeralized Fiboomial sums relaed wih he Gaussia -biomial sums, Bull Mah Soc Sci Mah Roumaie, 55:103 No , pp } ;2

An interesting result about subset sums. Nitu Kitchloo. Lior Pachter. November 27, Abstract

An interesting result about subset sums. Nitu Kitchloo. Lior Pachter. November 27, Abstract A ieresig resul abou subse sums Niu Kichloo Lior Pacher November 27, 1993 Absrac We cosider he problem of deermiig he umber of subses B f1; 2; : : :; g such ha P b2b b k mod, where k is a residue class

More information

N! AND THE GAMMA FUNCTION

N! AND THE GAMMA FUNCTION N! AND THE GAMMA FUNCTION Cosider he produc of he firs posiive iegers- 3 4 5 6 (-) =! Oe calls his produc he facorial ad has ha produc of he firs five iegers equals 5!=0. Direcly relaed o he discree! fucio

More information

A TAUBERIAN THEOREM FOR THE WEIGHTED MEAN METHOD OF SUMMABILITY

A TAUBERIAN THEOREM FOR THE WEIGHTED MEAN METHOD OF SUMMABILITY U.P.B. Sci. Bull., Series A, Vol. 78, Iss. 2, 206 ISSN 223-7027 A TAUBERIAN THEOREM FOR THE WEIGHTED MEAN METHOD OF SUMMABILITY İbrahim Çaak I his paper we obai a Tauberia codiio i erms of he weighed classical

More information

Using Linnik's Identity to Approximate the Prime Counting Function with the Logarithmic Integral

Using Linnik's Identity to Approximate the Prime Counting Function with the Logarithmic Integral Usig Lii's Ideiy o Approimae he Prime Couig Fucio wih he Logarihmic Iegral Naha McKezie /26/2 aha@icecreambreafas.com Summary:This paper will show ha summig Lii's ideiy from 2 o ad arragig erms i a cerai

More information

David Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition.

David Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition. ! Revised April 21, 2010 1:27 P! 1 Fourier Series David Radall Assume ha u( x,) is real ad iegrable If he domai is periodic, wih period L, we ca express u( x,) exacly by a Fourier series expasio: ( ) =

More information

L-functions and Class Numbers

L-functions and Class Numbers L-fucios ad Class Numbers Sude Number Theory Semiar S. M.-C. 4 Sepember 05 We follow Romyar Sharifi s Noes o Iwasawa Theory, wih some help from Neukirch s Algebraic Number Theory. L-fucios of Dirichle

More information

EVALUATION OF SUMS INVOLVING PRODUCTS OF GAUSSIAN q-binomial COEFFICIENTS WITH APPLICATIONS

EVALUATION OF SUMS INVOLVING PRODUCTS OF GAUSSIAN q-binomial COEFFICIENTS WITH APPLICATIONS EALATION OF SMS INOLING PRODCTS OF GASSIAN -BINOMIAL COEFFICIENTS WITH APPLICATIONS EMRAH KILIÇ* AND HELMT PRODINGER** Abstract Sums of products of two Gaussia -biomial coefficiets are ivestigated oe of

More information

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4)

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4) 7 Differeial equaios Review Solve by he mehod of udeermied coefficies ad by he mehod of variaio of parameers (4) y y = si Soluio; we firs solve he homogeeous equaio (4) y y = 4 The correspodig characerisic

More information

Math 6710, Fall 2016 Final Exam Solutions

Math 6710, Fall 2016 Final Exam Solutions Mah 67, Fall 6 Fial Exam Soluios. Firs, a sude poied ou a suble hig: if P (X i p >, he X + + X (X + + X / ( evaluaes o / wih probabiliy p >. This is roublesome because a radom variable is supposed o be

More information

Fermat Numbers in Multinomial Coefficients

Fermat Numbers in Multinomial Coefficients 1 3 47 6 3 11 Joural of Ieger Sequeces, Vol. 17 (014, Aricle 14.3. Ferma Numbers i Muliomial Coefficies Shae Cher Deparme of Mahemaics Zhejiag Uiversiy Hagzhou, 31007 Chia chexiaohag9@gmail.com Absrac

More information

BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS

BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS Opimal ear Forecasig Alhough we have o meioed hem explicily so far i he course, here are geeral saisical priciples for derivig he bes liear forecas, ad

More information

1 Notes on Little s Law (l = λw)

1 Notes on Little s Law (l = λw) Copyrigh c 26 by Karl Sigma Noes o Lile s Law (l λw) We cosider here a famous ad very useful law i queueig heory called Lile s Law, also kow as l λw, which assers ha he ime average umber of cusomers i

More information

Extended Laguerre Polynomials

Extended Laguerre Polynomials I J Coemp Mah Scieces, Vol 7, 1, o, 189 194 Exeded Laguerre Polyomials Ada Kha Naioal College of Busiess Admiisraio ad Ecoomics Gulberg-III, Lahore, Pakisa adakhaariq@gmailcom G M Habibullah Naioal College

More information

Comparison between Fourier and Corrected Fourier Series Methods

Comparison between Fourier and Corrected Fourier Series Methods Malaysia Joural of Mahemaical Scieces 7(): 73-8 (13) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Joural homepage: hp://eispem.upm.edu.my/oural Compariso bewee Fourier ad Correced Fourier Series Mehods 1

More information

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory Liear Time-Ivaria Sysems (LTI Sysems) Oulie Basic Sysem Properies Memoryless ad sysems wih memory (saic or dyamic) Causal ad o-causal sysems (Causaliy) Liear ad o-liear sysems (Lieariy) Sable ad o-sable

More information

Extremal graph theory II: K t and K t,t

Extremal graph theory II: K t and K t,t Exremal graph heory II: K ad K, Lecure Graph Theory 06 EPFL Frak de Zeeuw I his lecure, we geeralize he wo mai heorems from he las lecure, from riagles K 3 o complee graphs K, ad from squares K, o complee

More information

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003 ODEs II, Suppleme o Lecures 6 & 7: The Jorda Normal Form: Solvig Auoomous, Homogeeous Liear Sysems April 2, 23 I his oe, we describe he Jorda ormal form of a marix ad use i o solve a geeral homogeeous

More information

LIMITS OF FUNCTIONS (I)

LIMITS OF FUNCTIONS (I) LIMITS OF FUNCTIO (I ELEMENTARY FUNCTIO: (Elemeary fucios are NOT piecewise fucios Cosa Fucios: f(x k, where k R Polyomials: f(x a + a x + a x + a x + + a x, where a, a,..., a R Raioal Fucios: f(x P (x,

More information

Lecture 9: Polynomial Approximations

Lecture 9: Polynomial Approximations CS 70: Complexiy Theory /6/009 Lecure 9: Polyomial Approximaios Isrucor: Dieer va Melkebeek Scribe: Phil Rydzewski & Piramaayagam Arumuga Naiar Las ime, we proved ha o cosa deph circui ca evaluae he pariy

More information

Lecture 15 First Properties of the Brownian Motion

Lecture 15 First Properties of the Brownian Motion Lecure 15: Firs Properies 1 of 8 Course: Theory of Probabiliy II Term: Sprig 2015 Isrucor: Gorda Zikovic Lecure 15 Firs Properies of he Browia Moio This lecure deals wih some of he more immediae properies

More information

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws.

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws. Limi of a fucio.. Oe-Sided..... Ifiie limis Verical Asympoes... Calculaig Usig he Limi Laws.5 The Squeeze Theorem.6 The Precise Defiiio of a Limi......7 Coiuiy.8 Iermediae Value Theorem..9 Refereces..

More information

S n. = n. Sum of first n terms of an A. P is

S n. = n. Sum of first n terms of an A. P is PROGREION I his secio we discuss hree impora series amely ) Arihmeic Progressio (A.P), ) Geomeric Progressio (G.P), ad 3) Harmoic Progressio (H.P) Which are very widely used i biological scieces ad humaiies.

More information

Big O Notation for Time Complexity of Algorithms

Big O Notation for Time Complexity of Algorithms BRONX COMMUNITY COLLEGE of he Ciy Uiversiy of New York DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE CSI 33 Secio E01 Hadou 1 Fall 2014 Sepember 3, 2014 Big O Noaio for Time Complexiy of Algorihms Time

More information

K3 p K2 p Kp 0 p 2 p 3 p

K3 p K2 p Kp 0 p 2 p 3 p Mah 80-00 Mo Ar 0 Chaer 9 Fourier Series ad alicaios o differeial equaios (ad arial differeial equaios) 9.-9. Fourier series defiiio ad covergece. The idea of Fourier series is relaed o he liear algebra

More information

Manipulations involving the signal amplitude (dependent variable).

Manipulations involving the signal amplitude (dependent variable). Oulie Maipulaio of discree ime sigals: Maipulaios ivolvig he idepede variable : Shifed i ime Operaios. Foldig, reflecio or ime reversal. Time Scalig. Maipulaios ivolvig he sigal ampliude (depede variable).

More information

Review Exercises for Chapter 9

Review Exercises for Chapter 9 0_090R.qd //0 : PM Page 88 88 CHAPTER 9 Ifiie Series I Eercises ad, wrie a epressio for he h erm of he sequece..,., 5, 0,,,, 0,... 7,... I Eercises, mach he sequece wih is graph. [The graphs are labeled

More information

Moment Generating Function

Moment Generating Function 1 Mome Geeraig Fucio m h mome m m m E[ ] x f ( x) dx m h ceral mome m m m E[( ) ] ( ) ( x ) f ( x) dx Mome Geeraig Fucio For a real, M () E[ e ] e k x k e p ( x ) discree x k e f ( x) dx coiuous Example

More information

Section 8 Convolution and Deconvolution

Section 8 Convolution and Deconvolution APPLICATIONS IN SIGNAL PROCESSING Secio 8 Covoluio ad Decovoluio This docume illusraes several echiques for carryig ou covoluio ad decovoluio i Mahcad. There are several operaors available for hese fucios:

More information

SUMMATION OF INFINITE SERIES REVISITED

SUMMATION OF INFINITE SERIES REVISITED SUMMATION OF INFINITE SERIES REVISITED I several aricles over he las decade o his web page we have show how o sum cerai iiie series icludig he geomeric series. We wa here o eed his discussio o he geeral

More information

Online Supplement to Reactive Tabu Search in a Team-Learning Problem

Online Supplement to Reactive Tabu Search in a Team-Learning Problem Olie Suppleme o Reacive abu Search i a eam-learig Problem Yueli She School of Ieraioal Busiess Admiisraio, Shaghai Uiversiy of Fiace ad Ecoomics, Shaghai 00433, People s Republic of Chia, she.yueli@mail.shufe.edu.c

More information

12 Getting Started With Fourier Analysis

12 Getting Started With Fourier Analysis Commuicaios Egieerig MSc - Prelimiary Readig Geig Sared Wih Fourier Aalysis Fourier aalysis is cocered wih he represeaio of sigals i erms of he sums of sie, cosie or complex oscillaio waveforms. We ll

More information

Sampling Example. ( ) δ ( f 1) (1/2)cos(12πt), T 0 = 1

Sampling Example. ( ) δ ( f 1) (1/2)cos(12πt), T 0 = 1 Samplig Example Le x = cos( 4π)cos( π). The fudameal frequecy of cos 4π fudameal frequecy of cos π is Hz. The ( f ) = ( / ) δ ( f 7) + δ ( f + 7) / δ ( f ) + δ ( f + ). ( f ) = ( / 4) δ ( f 8) + δ ( f

More information

Solutions to Problems 3, Level 4

Solutions to Problems 3, Level 4 Soluios o Problems 3, Level 4 23 Improve he resul of Quesio 3 whe l. i Use log log o prove ha for real >, log ( {}log + 2 d log+ P ( + P ( d 2. Here P ( is defied i Quesio, ad parial iegraio has bee used.

More information

A note on deviation inequalities on {0, 1} n. by Julio Bernués*

A note on deviation inequalities on {0, 1} n. by Julio Bernués* A oe o deviaio iequaliies o {0, 1}. by Julio Berués* Deparameo de Maemáicas. Faculad de Ciecias Uiversidad de Zaragoza 50009-Zaragoza (Spai) I. Iroducio. Le f: (Ω, Σ, ) IR be a radom variable. Roughly

More information

F D D D D F. smoothed value of the data including Y t the most recent data.

F D D D D F. smoothed value of the data including Y t the most recent data. Module 2 Forecasig 1. Wha is forecasig? Forecasig is defied as esimaig he fuure value ha a parameer will ake. Mos scieific forecasig mehods forecas he fuure value usig pas daa. I Operaios Maageme forecasig

More information

STK4080/9080 Survival and event history analysis

STK4080/9080 Survival and event history analysis STK48/98 Survival ad eve hisory aalysis Marigales i discree ime Cosider a sochasic process The process M is a marigale if Lecure 3: Marigales ad oher sochasic processes i discree ime (recap) where (formally

More information

The Connection between the Basel Problem and a Special Integral

The Connection between the Basel Problem and a Special Integral Applied Mahemaics 4 5 57-584 Published Olie Sepember 4 i SciRes hp://wwwscirporg/joural/am hp://ddoiorg/436/am45646 The Coecio bewee he Basel Problem ad a Special Iegral Haifeg Xu Jiuru Zhou School of

More information

Fresnel Dragging Explained

Fresnel Dragging Explained Fresel Draggig Explaied 07/05/008 Decla Traill Decla@espace.e.au The Fresel Draggig Coefficie required o explai he resul of he Fizeau experime ca be easily explaied by usig he priciples of Eergy Field

More information

Actuarial Society of India

Actuarial Society of India Acuarial Sociey of Idia EXAMINAIONS Jue 5 C4 (3) Models oal Marks - 5 Idicaive Soluio Q. (i) a) Le U deoe he process described by 3 ad V deoe he process described by 4. he 5 e 5 PU [ ] PV [ ] ( e ).538!

More information

ECE-314 Fall 2012 Review Questions

ECE-314 Fall 2012 Review Questions ECE-34 Fall 0 Review Quesios. A liear ime-ivaria sysem has he ipu-oupu characerisics show i he firs row of he diagram below. Deermie he oupu for he ipu show o he secod row of he diagram. Jusify your aswer.

More information

COS 522: Complexity Theory : Boaz Barak Handout 10: Parallel Repetition Lemma

COS 522: Complexity Theory : Boaz Barak Handout 10: Parallel Repetition Lemma COS 522: Complexiy Theory : Boaz Barak Hadou 0: Parallel Repeiio Lemma Readig: () A Parallel Repeiio Theorem / Ra Raz (available o his websie) (2) Parallel Repeiio: Simplificaios ad he No-Sigallig Case

More information

Research Article On a Class of q-bernoulli, q-euler, and q-genocchi Polynomials

Research Article On a Class of q-bernoulli, q-euler, and q-genocchi Polynomials Absrac ad Applied Aalysis Volume 04, Aricle ID 696454, 0 pages hp://dx.doi.org/0.55/04/696454 Research Aricle O a Class of -Beroulli, -Euler, ad -Geocchi Polyomials N. I. Mahmudov ad M. Momezadeh Easer

More information

A Generalized Cost Malmquist Index to the Productivities of Units with Negative Data in DEA

A Generalized Cost Malmquist Index to the Productivities of Units with Negative Data in DEA Proceedigs of he 202 Ieraioal Coferece o Idusrial Egieerig ad Operaios Maageme Isabul, urey, July 3 6, 202 A eeralized Cos Malmquis Ide o he Produciviies of Uis wih Negaive Daa i DEA Shabam Razavya Deparme

More information

A Note on Prediction with Misspecified Models

A Note on Prediction with Misspecified Models ITB J. Sci., Vol. 44 A, No. 3,, 7-9 7 A Noe o Predicio wih Misspecified Models Khresha Syuhada Saisics Research Divisio, Faculy of Mahemaics ad Naural Scieces, Isiu Tekologi Badug, Jala Gaesa Badug, Jawa

More information

λiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi

λiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi Liear lgebra Lecure #9 Noes This week s lecure focuses o wha migh be called he srucural aalysis of liear rasformaios Wha are he irisic properies of a liear rasformaio? re here ay fixed direcios? The discussio

More information

Research Article A Generalized Nonlinear Sum-Difference Inequality of Product Form

Research Article A Generalized Nonlinear Sum-Difference Inequality of Product Form Joural of Applied Mahemaics Volume 03, Aricle ID 47585, 7 pages hp://dx.doi.org/0.55/03/47585 Research Aricle A Geeralized Noliear Sum-Differece Iequaliy of Produc Form YogZhou Qi ad Wu-Sheg Wag School

More information

A Study On (H, 1)(E, q) Product Summability Of Fourier Series And Its Conjugate Series

A Study On (H, 1)(E, q) Product Summability Of Fourier Series And Its Conjugate Series Mahemaical Theory ad Modelig ISSN 4-584 (Paper) ISSN 5-5 (Olie) Vol.7, No.5, 7 A Sudy O (H, )(E, q) Produc Summabiliy Of Fourier Series Ad Is Cojugae Series Sheela Verma, Kalpaa Saxea * Research Scholar

More information

DETERMINATION OF PARTICULAR SOLUTIONS OF NONHOMOGENEOUS LINEAR DIFFERENTIAL EQUATIONS BY DISCRETE DECONVOLUTION

DETERMINATION OF PARTICULAR SOLUTIONS OF NONHOMOGENEOUS LINEAR DIFFERENTIAL EQUATIONS BY DISCRETE DECONVOLUTION U.P.B. ci. Bull. eries A Vol. 69 No. 7 IN 3-77 DETERMINATION OF PARTIULAR OLUTION OF NONHOMOGENEOU LINEAR DIFFERENTIAL EQUATION BY DIRETE DEONVOLUTION M. I. ÎRNU e preziă o ouă meoă e eermiare a soluţiilor

More information

Economics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017

Economics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017 Deparme of Ecoomics The Ohio Sae Uiversiy Ecoomics 8723 Macroecoomic Theory Problem Se 2 Professor Sajay Chugh Sprig 207 Labor Icome Taxes, Nash-Bargaied Wages, ad Proporioally-Bargaied Wages. I a ecoomy

More information

AN EXTENSION OF LUCAS THEOREM. Hong Hu and Zhi-Wei Sun. (Communicated by David E. Rohrlich)

AN EXTENSION OF LUCAS THEOREM. Hong Hu and Zhi-Wei Sun. (Communicated by David E. Rohrlich) Proc. Amer. Mah. Soc. 19(001, o. 1, 3471 3478. AN EXTENSION OF LUCAS THEOREM Hog Hu ad Zhi-Wei Su (Commuicaed by David E. Rohrlich Absrac. Le p be a prime. A famous heorem of Lucas saes ha p+s p+ ( s (mod

More information

Pure Math 30: Explained!

Pure Math 30: Explained! ure Mah : Explaied! www.puremah.com 6 Logarihms Lesso ar Basic Expoeial Applicaios Expoeial Growh & Decay: Siuaios followig his ype of chage ca be modeled usig he formula: (b) A = Fuure Amou A o = iial

More information

EVALUATION OF SUMS INVOLVING GAUSSIAN q-binomial COEFFICIENTS WITH RATIONAL WEIGHT FUNCTIONS

EVALUATION OF SUMS INVOLVING GAUSSIAN q-binomial COEFFICIENTS WITH RATIONAL WEIGHT FUNCTIONS EVALUATION OF SUMS INVOLVING GAUSSIAN -BINOMIAL COEFFICIENTS WITH RATIONAL WEIGHT FUNCTIONS EMRAH KILIÇ AND HELMUT PRODINGER Abstact We coside sums of the Gaussia -biomial coefficiets with a paametic atioal

More information

MATH 507a ASSIGNMENT 4 SOLUTIONS FALL 2018 Prof. Alexander. g (x) dx = g(b) g(0) = g(b),

MATH 507a ASSIGNMENT 4 SOLUTIONS FALL 2018 Prof. Alexander. g (x) dx = g(b) g(0) = g(b), MATH 57a ASSIGNMENT 4 SOLUTIONS FALL 28 Prof. Alexader (2.3.8)(a) Le g(x) = x/( + x) for x. The g (x) = /( + x) 2 is decreasig, so for a, b, g(a + b) g(a) = a+b a g (x) dx b so g(a + b) g(a) + g(b). Sice

More information

Enumeration of Sequences Constrained by the Ratio of Consecutive Parts

Enumeration of Sequences Constrained by the Ratio of Consecutive Parts Eumeraio of Seueces Cosraied by he Raio of Cosecuive Pars Sylvie Coreel Suyoug Lee Carla D Savage November 13, 2004; Revised March 3, 2005 Absrac Recurreces are developed o eumerae ay family of oegaive

More information

A Note on Random k-sat for Moderately Growing k

A Note on Random k-sat for Moderately Growing k A Noe o Radom k-sat for Moderaely Growig k Ju Liu LMIB ad School of Mahemaics ad Sysems Sciece, Beihag Uiversiy, Beijig, 100191, P.R. Chia juliu@smss.buaa.edu.c Zogsheg Gao LMIB ad School of Mahemaics

More information

FIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE

FIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE Mohia & Samaa, Vol. 1, No. II, December, 016, pp 34-49. ORIGINAL RESEARCH ARTICLE OPEN ACCESS FIED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE 1 Mohia S. *, Samaa T. K. 1 Deparme of Mahemaics, Sudhir Memorial

More information

A NEW q-analogue FOR BERNOULLI NUMBERS

A NEW q-analogue FOR BERNOULLI NUMBERS A NEW -ANALOGUE FOR BERNOULLI NUMBERS O-YEAT CHAN AND DANTE MANNA Absrac Ispired by, we defie a ew seuece of -aalogues for he Beroulli umbers uder he framewor of Srod operaors We show ha hey o oly saisfy

More information

th m m m m central moment : E[( X X) ] ( X X) ( x X) f ( x)

th m m m m central moment : E[( X X) ] ( X X) ( x X) f ( x) 1 Trasform Techiques h m m m m mome : E[ ] x f ( x) dx h m m m m ceral mome : E[( ) ] ( ) ( x) f ( x) dx A coveie wa of fidig he momes of a radom variable is he mome geeraig fucio (MGF). Oher rasform echiques

More information

Samuel Sindayigaya 1, Nyongesa L. Kennedy 2, Adu A.M. Wasike 3

Samuel Sindayigaya 1, Nyongesa L. Kennedy 2, Adu A.M. Wasike 3 Ieraioal Joural of Saisics ad Aalysis. ISSN 48-9959 Volume 6, Number (6, pp. -8 Research Idia Publicaios hp://www.ripublicaio.com The Populaio Mea ad is Variace i he Presece of Geocide for a Simple Birh-Deah-

More information

Supplementary Information for Thermal Noises in an Aqueous Quadrupole Micro- and Nano-Trap

Supplementary Information for Thermal Noises in an Aqueous Quadrupole Micro- and Nano-Trap Supplemeary Iformaio for Thermal Noises i a Aqueous Quadrupole Micro- ad Nao-Trap Jae Hyu Park ad Predrag S. Krsić * Physics Divisio, Oak Ridge Naioal Laboraory, Oak Ridge, TN 3783 E-mail: krsicp@orl.gov

More information

SUPER LINEAR ALGEBRA

SUPER LINEAR ALGEBRA Super Liear - Cover:Layou 7/7/2008 2:32 PM Page SUPER LINEAR ALGEBRA W. B. Vasaha Kadasamy e-mail: vasahakadasamy@gmail.com web: hp://ma.iim.ac.i/~wbv www.vasaha.e Florei Smaradache e-mail: smarad@um.edu

More information

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i)

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i) Mah PracTes Be sure o review Lab (ad all labs) There are los of good quesios o i a) Sae he Mea Value Theorem ad draw a graph ha illusraes b) Name a impora heorem where he Mea Value Theorem was used i he

More information

INVESTMENT PROJECT EFFICIENCY EVALUATION

INVESTMENT PROJECT EFFICIENCY EVALUATION 368 Miljeko Crjac Domiika Crjac INVESTMENT PROJECT EFFICIENCY EVALUATION Miljeko Crjac Professor Faculy of Ecoomics Drsc Domiika Crjac Faculy of Elecrical Egieerig Osijek Summary Fiacial efficiecy of ivesme

More information

OLS bias for econometric models with errors-in-variables. The Lucas-critique Supplementary note to Lecture 17

OLS bias for econometric models with errors-in-variables. The Lucas-critique Supplementary note to Lecture 17 OLS bias for ecoomeric models wih errors-i-variables. The Lucas-criique Supplemeary oe o Lecure 7 RNy May 6, 03 Properies of OLS i RE models I Lecure 7 we discussed he followig example of a raioal expecaios

More information

Available online at J. Math. Comput. Sci. 4 (2014), No. 4, ISSN:

Available online at   J. Math. Comput. Sci. 4 (2014), No. 4, ISSN: Available olie a hp://sci.org J. Mah. Compu. Sci. 4 (2014), No. 4, 716-727 ISSN: 1927-5307 ON ITERATIVE TECHNIQUES FOR NUMERICAL SOLUTIONS OF LINEAR AND NONLINEAR DIFFERENTIAL EQUATIONS S.O. EDEKI *, A.A.

More information

Approximately Quasi Inner Generalized Dynamics on Modules. { } t t R

Approximately Quasi Inner Generalized Dynamics on Modules. { } t t R Joural of Scieces, Islamic epublic of Ira 23(3): 245-25 (22) Uiversiy of Tehra, ISSN 6-4 hp://jscieces.u.ac.ir Approximaely Quasi Ier Geeralized Dyamics o Modules M. Mosadeq, M. Hassai, ad A. Nikam Deparme

More information

BE.430 Tutorial: Linear Operator Theory and Eigenfunction Expansion

BE.430 Tutorial: Linear Operator Theory and Eigenfunction Expansion BE.43 Tuorial: Liear Operaor Theory ad Eigefucio Expasio (adaped fro Douglas Lauffeburger) 9//4 Moivaig proble I class, we ecouered parial differeial equaios describig rasie syses wih cheical diffusio.

More information

Notes 03 largely plagiarized by %khc

Notes 03 largely plagiarized by %khc 1 1 Discree-Time Covoluio Noes 03 largely plagiarized by %khc Le s begi our discussio of covoluio i discree-ime, sice life is somewha easier i ha domai. We sar wih a sigal x[] ha will be he ipu io our

More information

The Central Limit Theorem

The Central Limit Theorem The Ceral Limi Theorem The ceral i heorem is oe of he mos impora heorems i probabiliy heory. While here a variey of forms of he ceral i heorem, he mos geeral form saes ha give a sufficiely large umber,

More information

The analysis of the method on the one variable function s limit Ke Wu

The analysis of the method on the one variable function s limit Ke Wu Ieraioal Coferece o Advaces i Mechaical Egieerig ad Idusrial Iformaics (AMEII 5) The aalysis of he mehod o he oe variable fucio s i Ke Wu Deparme of Mahemaics ad Saisics Zaozhuag Uiversiy Zaozhuag 776

More information

Math 2414 Homework Set 7 Solutions 10 Points

Math 2414 Homework Set 7 Solutions 10 Points Mah Homework Se 7 Soluios 0 Pois #. ( ps) Firs verify ha we ca use he iegral es. The erms are clearly posiive (he epoeial is always posiive ad + is posiive if >, which i is i his case). For decreasig we

More information

Some identities related to reciprocal functions

Some identities related to reciprocal functions Discree Mahemaics 265 2003 323 335 www.elsevier.com/locae/disc Some ideiies relaed o reciprocal fucios Xiqiag Zhao a;b;, Tiamig Wag c a Deparme of Aerodyamics, College of Aerospace Egieerig, Najig Uiversiy

More information

Dynamic h-index: the Hirsch index in function of time

Dynamic h-index: the Hirsch index in function of time Dyamic h-idex: he Hirsch idex i fucio of ime by L. Egghe Uiversiei Hassel (UHassel), Campus Diepebeek, Agoralaa, B-3590 Diepebeek, Belgium ad Uiversiei Awerpe (UA), Campus Drie Eike, Uiversieisplei, B-260

More information

Some Properties of Semi-E-Convex Function and Semi-E-Convex Programming*

Some Properties of Semi-E-Convex Function and Semi-E-Convex Programming* The Eighh Ieraioal Symposium o Operaios esearch ad Is Applicaios (ISOA 9) Zhagjiajie Chia Sepember 2 22 29 Copyrigh 29 OSC & APOC pp 33 39 Some Properies of Semi-E-Covex Fucio ad Semi-E-Covex Programmig*

More information

Homotopy Analysis Method for Solving Fractional Sturm-Liouville Problems

Homotopy Analysis Method for Solving Fractional Sturm-Liouville Problems Ausralia Joural of Basic ad Applied Scieces, 4(1): 518-57, 1 ISSN 1991-8178 Homoopy Aalysis Mehod for Solvig Fracioal Surm-Liouville Problems 1 A Neamay, R Darzi, A Dabbaghia 1 Deparme of Mahemaics, Uiversiy

More information

ON THE n-th ELEMENT OF A SET OF POSITIVE INTEGERS

ON THE n-th ELEMENT OF A SET OF POSITIVE INTEGERS Aales Uiv. Sci. Budapes., Sec. Comp. 44 05) 53 64 ON THE -TH ELEMENT OF A SET OF POSITIVE INTEGERS Jea-Marie De Koick ad Vice Ouelle Québec, Caada) Commuicaed by Imre Káai Received July 8, 05; acceped

More information

Energy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation.

Energy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation. ecure Phys 375 Eergy Desiy / Eergy Flu / oal Eergy i D Overview ad Moivaio: Fro your sudy of waves i iroducory physics you should be aware ha waves ca raspor eergy fro oe place o aoher cosider he geeraio

More information

Numerical Solution of Parabolic Volterra Integro-Differential Equations via Backward-Euler Scheme

Numerical Solution of Parabolic Volterra Integro-Differential Equations via Backward-Euler Scheme America Joural of Compuaioal ad Applied Maemaics, (6): 77-8 DOI:.59/.acam.6. Numerical Soluio of Parabolic Volerra Iegro-Differeial Equaios via Bacward-Euler Sceme Ali Filiz Deparme of Maemaics, Ada Mederes

More information

UNIT 1: ANALYTICAL METHODS FOR ENGINEERS

UNIT 1: ANALYTICAL METHODS FOR ENGINEERS UNIT : ANALYTICAL METHODS FOR ENGINEERS Ui code: A// QCF Level: Credi vale: OUTCOME TUTORIAL SERIES Ui coe Be able o aalyse ad model egieerig siaios ad solve problems sig algebraic mehods Algebraic mehods:

More information

The Solution of the One Species Lotka-Volterra Equation Using Variational Iteration Method ABSTRACT INTRODUCTION

The Solution of the One Species Lotka-Volterra Equation Using Variational Iteration Method ABSTRACT INTRODUCTION Malaysia Joural of Mahemaical Scieces 2(2): 55-6 (28) The Soluio of he Oe Species Loka-Volerra Equaio Usig Variaioal Ieraio Mehod B. Baiha, M.S.M. Noorai, I. Hashim School of Mahemaical Scieces, Uiversii

More information

Some inequalities for q-polygamma function and ζ q -Riemann zeta functions

Some inequalities for q-polygamma function and ζ q -Riemann zeta functions Aales Mahemaicae e Iformaicae 37 (1). 95 1 h://ami.ekf.hu Some iequaliies for q-olygamma fucio ad ζ q -Riema zea fucios Valmir Krasiqi a, Toufik Masour b Armed Sh. Shabai a a Dearme of Mahemaics, Uiversiy

More information

Some Newton s Type Inequalities for Geometrically Relative Convex Functions ABSTRACT. 1. Introduction

Some Newton s Type Inequalities for Geometrically Relative Convex Functions ABSTRACT. 1. Introduction Malaysia Joural of Mahemaical Scieces 9(): 49-5 (5) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Joural homepage: hp://eispem.upm.edu.my/joural Some Newo s Type Ieualiies for Geomerically Relaive Covex Fucios

More information

Comparisons Between RV, ARV and WRV

Comparisons Between RV, ARV and WRV Comparisos Bewee RV, ARV ad WRV Cao Gag,Guo Migyua School of Maageme ad Ecoomics, Tiaji Uiversiy, Tiaji,30007 Absrac: Realized Volailiy (RV) have bee widely used sice i was pu forward by Aderso ad Bollerslev

More information

Zhi-Wei Sun and Hao Pan (Nanjing)

Zhi-Wei Sun and Hao Pan (Nanjing) Aca Arih. 5(006, o., 39. IDENTITIES CONCERNING BERNOULLI AND EULER POLYNOMIALS Zhi-Wei Su ad Hao Pa (Najig Absrac. We esabish wo geera ideiies for Beroui ad Euer poyomias, which are of a ew ype ad have

More information

14.02 Principles of Macroeconomics Fall 2005

14.02 Principles of Macroeconomics Fall 2005 14.02 Priciples of Macroecoomics Fall 2005 Quiz 2 Tuesday, November 8, 2005 7:30 PM 9 PM Please, aswer he followig quesios. Wrie your aswers direcly o he quiz. You ca achieve a oal of 100 pois. There are

More information

FORBIDDING HAMILTON CYCLES IN UNIFORM HYPERGRAPHS

FORBIDDING HAMILTON CYCLES IN UNIFORM HYPERGRAPHS FORBIDDING HAMILTON CYCLES IN UNIFORM HYPERGRAPHS JIE HAN AND YI ZHAO Absrac For d l

More information

Procedia - Social and Behavioral Sciences 230 ( 2016 ) Joint Probability Distribution and the Minimum of a Set of Normalized Random Variables

Procedia - Social and Behavioral Sciences 230 ( 2016 ) Joint Probability Distribution and the Minimum of a Set of Normalized Random Variables Available olie a wwwsciecedireccom ScieceDirec Procedia - Social ad Behavioral Scieces 30 ( 016 ) 35 39 3 rd Ieraioal Coferece o New Challeges i Maageme ad Orgaizaio: Orgaizaio ad Leadership, May 016,

More information

TAKA KUSANO. laculty of Science Hrosh tlnlersty 1982) (n-l) + + Pn(t)x 0, (n-l) + + Pn(t)Y f(t,y), XR R are continuous functions.

TAKA KUSANO. laculty of Science Hrosh tlnlersty 1982) (n-l) + + Pn(t)x 0, (n-l) + + Pn(t)Y f(t,y), XR R are continuous functions. Iera. J. Mah. & Mah. Si. Vol. 6 No. 3 (1983) 559-566 559 ASYMPTOTIC RELATIOHIPS BETWEEN TWO HIGHER ORDER ORDINARY DIFFERENTIAL EQUATIONS TAKA KUSANO laculy of Sciece Hrosh llersy 1982) ABSTRACT. Some asympoic

More information

10.3 Autocorrelation Function of Ergodic RP 10.4 Power Spectral Density of Ergodic RP 10.5 Normal RP (Gaussian RP)

10.3 Autocorrelation Function of Ergodic RP 10.4 Power Spectral Density of Ergodic RP 10.5 Normal RP (Gaussian RP) ENGG450 Probabiliy ad Saisics for Egieers Iroducio 3 Probabiliy 4 Probabiliy disribuios 5 Probabiliy Desiies Orgaizaio ad descripio of daa 6 Samplig disribuios 7 Ifereces cocerig a mea 8 Comparig wo reames

More information

Supplement for SADAGRAD: Strongly Adaptive Stochastic Gradient Methods"

Supplement for SADAGRAD: Strongly Adaptive Stochastic Gradient Methods Suppleme for SADAGRAD: Srogly Adapive Sochasic Gradie Mehods" Zaiyi Che * 1 Yi Xu * Ehog Che 1 iabao Yag 1. Proof of Proposiio 1 Proposiio 1. Le ɛ > 0 be fixed, H 0 γi, γ g, EF (w 1 ) F (w ) ɛ 0 ad ieraio

More information

Solutions to selected problems from the midterm exam Math 222 Winter 2015

Solutions to selected problems from the midterm exam Math 222 Winter 2015 Soluios o seleced problems from he miderm eam Mah Wier 5. Derive he Maclauri series for he followig fucios. (cf. Pracice Problem 4 log( + (a L( d. Soluio: We have he Maclauri series log( + + 3 3 4 4 +...,

More information

BIBECHANA A Multidisciplinary Journal of Science, Technology and Mathematics

BIBECHANA A Multidisciplinary Journal of Science, Technology and Mathematics Biod Prasad Dhaal / BIBCHANA 9 (3 5-58 : BMHSS,.5 (Olie Publicaio: Nov., BIBCHANA A Mulidisciliary Joural of Sciece, Techology ad Mahemaics ISSN 9-76 (olie Joural homeage: h://ejol.ifo/idex.h/bibchana

More information

Approximating Solutions for Ginzburg Landau Equation by HPM and ADM

Approximating Solutions for Ginzburg Landau Equation by HPM and ADM Available a hp://pvamu.edu/aam Appl. Appl. Mah. ISSN: 193-9466 Vol. 5, No. Issue (December 1), pp. 575 584 (Previously, Vol. 5, Issue 1, pp. 167 1681) Applicaios ad Applied Mahemaics: A Ieraioal Joural

More information

arxiv: v1 [math.co] 30 May 2017

arxiv: v1 [math.co] 30 May 2017 Tue Polyomials of Symmeric Hyperplae Arragemes Hery Radriamaro May 31, 017 arxiv:170510753v1 [mahco] 30 May 017 Absrac Origially i 1954 he Tue polyomial was a bivariae polyomial associaed o a graph i order

More information

Electrical Engineering Department Network Lab.

Electrical Engineering Department Network Lab. Par:- Elecrical Egieerig Deparme Nework Lab. Deermiaio of differe parameers of -por eworks ad verificaio of heir ierrelaio ships. Objecive: - To deermie Y, ad ABD parameers of sigle ad cascaded wo Por

More information

B. Maddah INDE 504 Simulation 09/02/17

B. Maddah INDE 504 Simulation 09/02/17 B. Maddah INDE 54 Simulaio 9/2/7 Queueig Primer Wha is a queueig sysem? A queueig sysem cosiss of servers (resources) ha provide service o cusomers (eiies). A Cusomer requesig service will sar service

More information

THE BERNOULLI NUMBERS. t k. = lim. = lim = 1, d t B 1 = lim. 1+e t te t = lim t 0 (e t 1) 2. = lim = 1 2.

THE BERNOULLI NUMBERS. t k. = lim. = lim = 1, d t B 1 = lim. 1+e t te t = lim t 0 (e t 1) 2. = lim = 1 2. THE BERNOULLI NUMBERS The Bernoulli numbers are defined here by he exponenial generaing funcion ( e The firs one is easy o compue: (2 and (3 B 0 lim 0 e lim, 0 e ( d B lim 0 d e +e e lim 0 (e 2 lim 0 2(e

More information

CSE 241 Algorithms and Data Structures 10/14/2015. Skip Lists

CSE 241 Algorithms and Data Structures 10/14/2015. Skip Lists CSE 41 Algorihms ad Daa Srucures 10/14/015 Skip Liss This hadou gives he skip lis mehods ha we discussed i class. A skip lis is a ordered, doublyliked lis wih some exra poiers ha allow us o jump over muliple

More information

On Another Type of Transform Called Rangaig Transform

On Another Type of Transform Called Rangaig Transform Ieraioal Joural of Parial Differeial Equaios ad Applicaios, 7, Vol 5, No, 4-48 Available olie a hp://pubssciepubcom/ijpdea/5//6 Sciece ad Educaio Publishig DOI:69/ijpdea-5--6 O Aoher Type of Trasform Called

More information

Prakash Chandra Rautaray 1, Ellipse 2

Prakash Chandra Rautaray 1, Ellipse 2 Prakash Chadra Rauara, Ellise / Ieraioal Joural of Egieerig Research ad Alicaios (IJERA) ISSN: 48-96 www.ijera.com Vol. 3, Issue, Jauar -Februar 3,.36-337 Degree Of Aroimaio Of Fucios B Modified Parial

More information