Using Linnik's Identity to Approximate the Prime Counting Function with the Logarithmic Integral
|
|
- Christian Townsend
- 5 years ago
- Views:
Transcription
1 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 way will immediaely sugges a mehod for approimaig he prime power couig fucio. I will he prove his approimaio is he Logarihmic Iegral. The relaioship bewee he wo will he be show o provide oe way of reasoig abou he differece bewee he Logarihmic Iegral ad he prime power couig fucio. The paper will he use a similar approach o approimae Meres fucio. This approimaio will lead o a furher approimaio for Chebyshev's fucio ψ(), he domia erm for which is simply. The paper will coclude by showig how his approimaio leads o oe way of reasoig abou he differece bewee ad ψ(). Noe: This paper will use variables,y,z for sums raher ha he usual i,j,. This is doe o sress visually he symmeries bewee sums ad heir iegral approimaios, ad he role chagig bewee he wo plays as he sole source of error erms.. Lii's Ideiy We begi wih Lii's ideiy which says ha log Λ() log = 2 + d = ' () (.) where Λ () is he Vo Magold fucio, ad d ' () is he sric umber of divisors fucio such ha d ' ()= { := : d ' ()= d ' ( j)d ' ( j j ) (.2) Combiaorially, d ' () is he cou of soluios o he epressio a a 2... a =, where a, a 2,..., a 2 ad are iegers, ad order maers. So, as a eample d 2 ' (6)=2 because i has soluios of boh 2 3 ad 3 2. Now, Λ() log is a fucio equal o a primes, a primes 2 squared, a primes cubed, ad so o, ad oherwise. 3 So, if we sum Lii's ideiy from 2 o some value, we have π()+ 2 π( 2 )+ 3 π ( 3 )= j=2 = where π () is he prime couig fucio. + Combiaorially, he sum d ' ( j) is he cou of j=2 d ' ( j) soluios o he epressio a a 2... a, where a, a 2,...,a 2 ad are all aural umbers, ad where order maers, so we ca rewrie hose sums as j= j= j= d ' ( j)= d 2 ' ( j)= d 3 ' ( j)= z=2 y (.3) ad so o. We ca use his o rewrie our prime couig ideiy as π()+ 2 π( 2 )+ 3 π ( 3 )= The saeme z=2 2. Approimaig he Prime Couig Fucio z =2 y 4... y 4... (.4)
2 immediaely suggess a mehod for approimaig he prime couig fucio. Our approimaio A Π () will replace he sums i our origial fucio wih he followig closely relaed iegrals A Π ()= d 2 dy d+ 3 y dz dyd 4... We would lie o see if we ca rasform our approimaio A Π io a more recogizable fucio. Tha process will occupy he res of his secio. If we ame each of hese esed iegrals as A (), so A Π ()= + A = () ad evaluae io closed form, we have A 2 ()= A 3 ()= A ()= d= dy d= d=log + y dz dy d= dy d= y log +d= 2 log2 log + ad, more geerally, (2.) A = ( + ( log ) j ) j= j! (2.2) If we specify ha a ew value m is equal o log, he we ca rewrie his as A ()= ( +e m m j j= j! ) (2.3) We ur ow o wo represeaios of he icomplee gamma fucio, Γ(,u)= e u Γ(, u)=( )!e u u j j= j! Seig boh represeaios equal o each oher ad rearragig erms, we arrive a he followig ideiy e u u j j= j! = e d ( )! u which les us rewrie (2.3) as A ()= ( + e d) ( )! Le's rewrie our leadig erm log A ()= ( ( )! ( )! + ( )! log e d) which we ca rewrie as he gamma fucio Γ() lie so A ()= ( Γ() ( )! + ( )! log The gamma fucio has he followig iegral represeaio Γ( )= e d e d) which we ca subsiue io our mai epressio A ()= ( ( )! e d+ e d) ( )! log This simplifies o give us oe fial represeaio for A (), + A ()= ( )! e d log Now le's iser his bac io (2.) A Π ()= = This simplifies o ( )! log + + A Π ()= =! log e d e d Swappig summaio ad iegraio, we have which becomes A Π ()= A()= log log log ( e e ( =! )e d )e d= d= log log e d The epoeial iegral Ei() is give by e d= (2.4)
3 Ei( )= e d+log +γ where γ= , he Euler-Mascheroi Cosa,so log A Π ()= e d=ei(log ) log log γ The logarihmic iegral is li()=ei(log ), so his meas, fially, ha A Π ()= d 2 dy d+ 3 y dz dy d 4... =li() log log γ (2.5) (As a somewha ieresig aside, i is easier o evaluae he looser fiig d 2 which is jus log.) dy d+ 3 y dz dy d Error i his Approimaio So his provides oe way of hiig abou he coecio bewee he logarihmic iegral ad he prime couig fucio. Lii's ideiy le's us say ha he prime couig fucio ca be epressed lie so, π ()+ 2 π ( 2 )+ 3 π( 3 )= z=2 ad his ideiy ca be approimaed as li() log log γ= d 2 dy d+ 3 y 4... y dz dy d 4... From his perspecive, he error erm i he Prime Number Theory ca be reasoed abou as he volumes uder hese various hyperbolic curves ha are' coaied wihi he ieger laice volumes compleely uder each curve. Which is o say li() π () 2 π ( 2 ) 3 π( 3 )...= log log γ 2 ( + 3 ( y dy d ) dz dy d y ) z= (3.) I migh be ieresig o coec his saeme o Riema's eplici prime couig formula π ()+ 2 π( 2 )+ 3 π ( 3 )= li() li( ) log 2+ d ( 2 )log where are he zeroes of he Riema Zea fucio. We ca obviously resae his as li() π() 2 π( 2 ) 3 π( 3 )...= li( )+log 2 d ( 2 )log If we defie he followig acillary fucio E ()=log 2 d +log log +γ ( 2 )log he, comparig his paper's resuls o Riema's fucio, we ca say ha li( )+E ()= 2 ( + 3 ( 4 ( y y yz dy d ) dz dy d y ) z=2 y yz ) z=2 w=2 dw dz dy d (3.2) Give ha E() is O(log log ), i ca be largely igored, leavig us wih he observaio, lef wihou ay furher comme, ha he Zea Zeroes perfecly describe hese o-laice differeces. Wih a bi of wor, his equaio ca be furher
4 rasformed io li( )+E ()= 2 ( + 3 ( 4 ( y y yz dy d + { }) dz dy d dw dz dy d y + + y z=2 z=2 { y }) yz y { yz }) (3.3) where {} is he fracioal par fucio. This represeaio is oeworhy i ha all of he familiar high frequecy / discoiuous aspecs of he prime couig fucio seem o be capured by he fracioal par sums; he oher esed sums represe fairly smooh, predicable values. 4. Meres Fucio There is he followig ideiy for he Möbius fucio i erms of he sric cou of divisor fucios from (.2), derived i a fashio similar o Lii's ideiy μ()= d ' () = If we sum his ideiy from 2 o, we have M ()= d ' ( j) = j=2 where M () is he Meres fucio. Followig similar echiques from our firs secio ha led from (.3) o (.4), his meas we ca wrie Meres fucio as M ()= + z =2 y (4.) This oce agai immediaely suggess a approimaio for Meres fucio of he form ()= d+ dy d y dz dyd (4.2) These esed iegrals are he same iegrals of he form A () ha we saw before i (2.2); i fac, ()=+ A () = Subsiuig i our fial iegral represeaio for A () from (2.4), we have + ()=+ = ( )! e d log which simplifies o ()= = ( )! e d log Rearragig summaio ad iegraio, we have which leads o So, ()= ()= log log = log ( = ( )! )e d e e d = d= log log d+ dy d y dz dy d (4.3) Thus, he differece bewee Meres fucio ad our approimaio ca be epressed as M () log += ( +( ( y y yz dy d ) dz dy d y ) z=2 dw dz dyd y yz ) z=2 w=2 (4.4) which, give he smalless ad smoohess of log, meas ha he o-laice volumes are largely jus he iverse of Meres fucio iself. As wih he prime couig fucio, his ca be furher developed io
5 M () log+= y y yz ( +( ( dy d + { }) dz dy d dw dz dy d y + + y z=2 z=2 { y }) yz y { yz }) where all of he discoiuiies ad high frequecy chage are coaied i he fracioal par sums. 5. Chebyshev's Psi Fucio Meres gave he followig formula for Chebyshev's fucio ψ( ) ψ( )= log j M ( j=2 j ) (5.) Now, we ow from he previous secio ha we ca wrie Mere's fucio as M ()= so we ca rewrie ψ() as + z =2 y y w=2 z=2 y z y y + y z ψ( )= log ( ) z =2 z=2 w=2 (5.2) This epressio for ψ() immediaely suggess is ow approimaio, amely A ψ ()= log ( dy+ y dz dy y y z dw dz dy)d The ier sum of iegrals is our approimaio for () (4.2) wih aig he value (5.3). We ow from which we ca rewrie as So A ψ ()= A ψ ()= log ( log +log )d log d log log d+ log log d A ψ ()=(log +) ( log 2 log +log ) +( log 2 2 log +2 2) log = log ( dy+ A ψ ()= log y dz dy y y z dwdz dy)d (5.4) For wha follows, i is useful o muliply he log value hrough for boh our epressio for ψ() ad is approimaio. So, we have ψ( )=( log ) ( log y) ad +( z=2 log =( +( y y log z) ( log d) ( log z dz dy d) ( z=2 y y w=2 log y dy d) y z y z log w) (5.5) log w dw dz dy d) (5.6) Our real ieres here is relaig ψ() o. Thus, if we subrac our represeaio for ψ() from is approimaio, we have (4.3) ha his approimaio is jus log replace i wih, so we ca A ψ ()= log ( log )d
6 ψ()= log +( ( +( ( log d log ) y y y z log y dy d log y ) log z dz dy d z=2 log w dwdz dy d y log z) y z=2 w=2 y z log w) (5.7) The fucio ψ() ca be wrie i erms of he zeroes of he Riema Zea fucio as ψ()= Obviously, we ca rewrie his as ψ()= ' () ζ ζ() 2 log ( 2 ) ' () +ζ ζ() + 2 log ( 2 ) If we compare his resul o (5.7), ad we defie he followig O(log ) fucio he ha meas E ()=log 2π+ 2 log( 2 )+log + ( ( +( ( +E ()= log d log ) y y y z log y dy d log z dz dy d log y) z =2 log w dw dz dy d y log z) y z=2 w=2 6. Odds ad Eds y z log w) (5.8) Alhough his paper wo' cover he opic, a wide rage of oeworhy arihmeic summaory fucios ca be epressed i a fashio similar o (5.) ad (5.2). Cosequely, he approach ae i secio 5 ca also be applied o hem. Special has o J. Magalda from mah.sacechage.com for providig he eplici mehod for rasformig (2.2) io (2.5); I ew (2.2) seemed o be he Logarihmic Iegral, bu I was' quie sure why. Special has o Professor Mar Coffey, who provided helpful feedbac ad a few oes abou (3.3) a hp:// %2McKezie%2sums.pdf, which was a respose o a previous hreadbare wrie up of mie a hp:// mah.old.pdf
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 informationN! 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 informationAn 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 informationCalculus 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 informationCLOSED FORM EVALUATION OF RESTRICTED SUMS CONTAINING SQUARES OF FIBONOMIAL COEFFICIENTS
PB Sci Bull, Series A, Vol 78, Iss 4, 2016 ISSN 1223-7027 CLOSED FORM EVALATION OF RESTRICTED SMS CONTAINING SQARES OF FIBONOMIAL COEFFICIENTS Emrah Kılıc 1, Helmu Prodiger 2 We give a sysemaic approach
More informationMath 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 informationSection 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 information12 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 informationExtremal 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 informationNotes 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 informationSampling 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 informationMath 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 informationSolutions 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 informationBEST 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 informationElectrical 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 informationComparison 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 informationThe Eigen Function of Linear Systems
1/25/211 The Eige Fucio of Liear Sysems.doc 1/7 The Eige Fucio of Liear Sysems Recall ha ha we ca express (expad) a ime-limied sigal wih a weighed summaio of basis fucios: v ( ) a ψ ( ) = where v ( ) =
More informationL-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 informationBig 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 information1. 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 information2 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 informationDavid 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 informationSUMMATION 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 informationThe 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 informationIdeal 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 information14.02 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 informationPure 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 informationME 3210 Mechatronics II Laboratory Lab 6: Second-Order Dynamic Response
Iroucio ME 30 Mecharoics II Laboraory Lab 6: Seco-Orer Dyamic Respose Seco orer iffereial equaios approimae he yamic respose of may sysems. I his lab you will moel a alumium bar as a seco orer Mass-Sprig-Damper
More informationK3 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 informationReview 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 information1 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 informationSTK4080/9080 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 informationA 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 informationLecture 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 informationIn this section we will study periodic signals in terms of their frequency f t is said to be periodic if (4.1)
Fourier Series Iroducio I his secio we will sudy periodic sigals i ers o heir requecy is said o be periodic i coe Reid ha a sigal ( ) ( ) ( ) () or every, where is a uber Fro his deiiio i ollows ha ( )
More informationMoment 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 informationODEs 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 informationλiv 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 informationth 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 informationFour equations describe the dynamic solution to RBC model. Consumption-leisure efficiency condition. Consumption-investment efficiency condition
LINEAR APPROXIMATION OF THE BASELINE RBC MODEL FEBRUARY, 202 Iroducio For f(, y, z ), mulivariable Taylor liear epasio aroud (, yz, ) f (, y, z) f(, y, z) + f (, y, z)( ) + f (, y, z)( y y) + f (, y, z)(
More informationProblems and Solutions for Section 3.2 (3.15 through 3.25)
3-7 Problems ad Soluios for Secio 3 35 hrough 35 35 Calculae he respose of a overdamped sigle-degree-of-freedom sysem o a arbirary o-periodic exciaio Soluio: From Equaio 3: x = # F! h "! d! For a overdamped
More informationKing Fahd University of Petroleum & Minerals Computer Engineering g Dept
Kig Fahd Uiversiy of Peroleum & Mierals Compuer Egieerig g Dep COE 4 Daa ad Compuer Commuicaios erm Dr. shraf S. Hasa Mahmoud Rm -4 Ex. 74 Email: ashraf@kfupm.edu.sa 9/8/ Dr. shraf S. Hasa Mahmoud Lecure
More informationUNIT 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 informationS 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 informationFresnel 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 informationThe 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 informationLIMITS 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 informationLIMITS OF SEQUENCES AND FUNCTIONS
ФЕДЕРАЛЬНОЕ АГЕНТСТВО ПО ОБРАЗОВАНИЮ Государственное образовательное учреждение высшего профессионального образования «ТОМСКИЙ ПОЛИТЕХНИЧЕСКИЙ УНИВЕРСИТЕТ» VV Koev LIMITS OF SEQUENCES AND FUNCTIONS TeBook
More informationFermat 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 informationSection 4.4 Logarithmic Properties
Secion. Logarihmic Properies 59 Secion. Logarihmic Properies In he previous secion, we derived wo imporan properies of arihms, which allowed us o solve some asic eponenial and arihmic equaions. Properies
More informationExtended 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 informationEnergy 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 informationCalculus BC 2015 Scoring Guidelines
AP Calculus BC 5 Scorig Guidelies 5 The College Board. College Board, Advaced Placeme Program, AP, AP Ceral, ad he acor logo are regisered rademarks of he College Board. AP Ceral is he official olie home
More informationCSE 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 informationSMT 2014 Calculus Test Solutions February 15, 2014 = 3 5 = 15.
SMT Calculus Tes Soluions February 5,. Le f() = and le g() =. Compue f ()g (). Answer: 5 Soluion: We noe ha f () = and g () = 6. Then f ()g () =. Plugging in = we ge f ()g () = 6 = 3 5 = 5.. There is a
More informationMath 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities:
Mah 4 Eam Review Problems Problem. Calculae he 3rd Taylor polynomial for arcsin a =. Soluion. Le f() = arcsin. For his problem, we use he formula f() + f () + f ()! + f () 3! for he 3rd Taylor polynomial
More informatione x x s 1 dx ( 1) n n!(n + s) + e s n n n=1 n!n s Γ(s) = lim
Lecure 3 Impora Special FucioMATH-GA 45. Complex Variable The Euler gamma fucio The Euler gamma fucio i ofe ju called he gamma fucio. I i oe of he mo impora ad ubiquiou pecial fucio i mahemaic, wih applicaio
More information5.74 Introductory Quantum Mechanics II
MIT OpeCourseWare hp://ocw.mi.edu 5.74 Iroducory Quaum Mechaics II Sprig 009 For iformaio aou ciig hese maerials or our Terms of Use, visi: hp://ocw.mi.edu/erms. drei Tokmakoff, MIT Deparme of Chemisry,
More informationSupplementary 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 informationEconomics 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 informationSupplement 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 informationSection 4.4 Logarithmic Properties
Secion. Logarihmic Properies 5 Secion. Logarihmic Properies In he previous secion, we derived wo imporan properies of arihms, which allowed us o solve some asic eponenial and arihmic equaions. Properies
More informationDETERMINATION 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 informationFourier transform. Continuous-time Fourier transform (CTFT) ω ω
Fourier rasform Coiuous-ime Fourier rasform (CTFT P. Deoe ( he Fourier rasform of he sigal x(. Deermie he followig values, wihou compuig (. a (0 b ( d c ( si d ( d d e iverse Fourier rasform for Re { (
More informationA 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 informationManipulations 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 informationThe Fundamental Theorems of Calculus
FunamenalTheorems.nb 1 The Funamenal Theorems of Calculus You have now been inrouce o he wo main branches of calculus: ifferenial calculus (which we inrouce wih he angen line problem) an inegral calculus
More informationTime Dependent Queuing
Time Depede Queuig Mark S. Daski Deparme of IE/MS, Norhweser Uiversiy Evaso, IL 628 Sprig, 26 Oulie Will look a M/M/s sysem Numerically iegraio of Chapma- Kolmogorov equaios Iroducio o Time Depede Queue
More informationMCR3U FINAL EXAM REVIEW (JANUARY 2015)
MCRU FINAL EXAM REVIEW (JANUARY 0) Iroducio: This review is composed of possible es quesios. The BEST wa o sud for mah is o do a wide selecio of quesios. This review should ake ou a oal of hours of work,
More informationON THE PRIME NUMBER LEMMA OF SELBERG
MATH. SCAND. 03 (2008, 5 0 ON THE PRIME NUMBER LEMMA OF SELBERG FILIP SAIDAK (Dedicaed o he memory of Ale Selberg Absrac The key resul eeded i almos all elemeary proofs of he Prime Number Theorem is a
More informationFour equations describe the dynamic solution to RBC model. Consumption-leisure efficiency condition. Consumption-investment efficiency condition
LINEARIZING AND APPROXIMATING THE RBC MODEL SEPTEMBER 7, 200 For f( x, y, z ), mulivariable Taylor liear expasio aroud ( x, yz, ) f ( x, y, z) f( x, y, z) + f ( x, y, z)( x x) + f ( x, y, z)( y y) + f
More informationLecture 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 informationTwo Coupled Oscillators / Normal Modes
Lecure 3 Phys 3750 Two Coupled Oscillaors / Normal Modes Overview and Moivaion: Today we ake a small, bu significan, sep owards wave moion. We will no ye observe waves, bu his sep is imporan in is own
More informationECE 350 Matlab-Based Project #3
ECE 350 Malab-Based Projec #3 Due Dae: Nov. 26, 2008 Read he aached Malab uorial ad read he help files abou fucio i, subs, sem, bar, sum, aa2. he wrie a sigle Malab M file o complee he followig ask for
More informationES.1803 Topic 22 Notes Jeremy Orloff
ES.83 Topic Noes Jeremy Orloff Fourier series inroducion: coninued. Goals. Be able o compue he Fourier coefficiens of even or odd periodic funcion using he simplified formulas.. Be able o wrie and graph
More informationLINEAR APPROXIMATION OF THE BASELINE RBC MODEL JANUARY 29, 2013
LINEAR APPROXIMATION OF THE BASELINE RBC MODEL JANUARY 29, 203 Iroducio LINEARIZATION OF THE RBC MODEL For f( x, y, z ) = 0, mulivariable Taylor liear expasio aroud f( x, y, z) f( x, y, z) + f ( x, y,
More informationOnline 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 informationThe Contradiction within Equations of Motion with Constant Acceleration
The Conradicion wihin Equaions of Moion wih Consan Acceleraion Louai Hassan Elzein Basheir (Daed: July 7, 0 This paper is prepared o demonsrae he violaion of rules of mahemaics in he algebraic derivaion
More informationTheoretical Physics Prof. Ruiz, UNC Asheville, doctorphys on YouTube Chapter R Notes. Convolution
Theoreical Physics Prof Ruiz, UNC Asheville, docorphys o YouTube Chaper R Noes Covoluio R1 Review of he RC Circui The covoluio is a "difficul" cocep o grasp So we will begi his chaper wih a review of he
More informationOLS 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 information23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes
Represening Periodic Funcions by Fourier Series 3. Inroducion In his Secion we show how a periodic funcion can be expressed as a series of sines and cosines. We begin by obaining some sandard inegrals
More information6.003: Signals and Systems Lecture 20 April 22, 2010
6.003: Sigals ad Sysems Lecure 0 April, 00 6.003: Sigals ad Sysems Relaios amog Fourier Represeaios Mid-erm Examiaio #3 Wedesday, April 8, 7:30-9:30pm. No reciaios o he day of he exam. Coverage: Lecures
More informationF.Y. Diploma : Sem. II [AE/CH/FG/ME/PT/PG] Applied Mathematics
F.Y. Diploma : Sem. II [AE/CH/FG/ME/PT/PG] Applied Mahemaics Prelim Quesio Paper Soluio Q. Aemp ay FIVE of he followig : [0] Q.(a) Defie Eve ad odd fucios. [] As.: A fucio f() is said o be eve fucio if
More informationChapter 2: Time-Domain Representations of Linear Time-Invariant Systems. Chih-Wei Liu
Caper : Time-Domai Represeaios of Liear Time-Ivaria Sysems Ci-Wei Liu Oulie Iroucio Te Covoluio Sum Covoluio Sum Evaluaio Proceure Te Covoluio Iegral Covoluio Iegral Evaluaio Proceure Iercoecios of LTI
More informationAvailable 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 informationB. 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 informationEXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D. S. Palimkar
Ieraioal Joural of Scieific ad Research Publicaios, Volue 2, Issue 7, July 22 ISSN 225-353 EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D S Palikar Depare of Maheaics, Vasarao Naik College, Naded
More informationCOS 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 information6.003: Signal Processing Lecture 1 September 6, 2018
63: Sigal Processig Workig wih Overview of Subjec : Defiiios, Eamples, ad Operaios Basis Fucios ad Trasforms Welcome o 63 Piloig a ew versio of 63 focused o Sigal Processig Combies heory aalysis ad syhesis
More informationA 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 informationResearch 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 informationFrom Complex Fourier Series to Fourier Transforms
Topic From Complex Fourier Series o Fourier Transforms. Inroducion In he previous lecure you saw ha complex Fourier Series and is coeciens were dened by as f ( = n= C ne in! where C n = T T = T = f (e
More informationChallenge Problems. DIS 203 and 210. March 6, (e 2) k. k(k + 2). k=1. f(x) = k(k + 2) = 1 x k
Challenge Problems DIS 03 and 0 March 6, 05 Choose one of he following problems, and work on i in your group. Your goal is o convince me ha your answer is correc. Even if your answer isn compleely correc,
More informationLINEAR APPROXIMATION OF THE BASELINE RBC MODEL SEPTEMBER 17, 2013
LINEAR APPROXIMATION OF THE BASELINE RBC MODEL SEPTEMBER 7, 203 Iroducio LINEARIZATION OF THE RBC MODEL For f( xyz,, ) = 0, mulivariable Taylor liear expasio aroud f( xyz,, ) f( xyz,, ) + f( xyz,, )( x
More informationChapter 2. First Order Scalar Equations
Chaper. Firs Order Scalar Equaions We sar our sudy of differenial equaions in he same way he pioneers in his field did. We show paricular echniques o solve paricular ypes of firs order differenial equaions.
More informationPrinciples of Communications Lecture 1: Signals and Systems. Chih-Wei Liu 劉志尉 National Chiao Tung University
Priciples of Commuicaios Lecure : Sigals ad Sysems Chih-Wei Liu 劉志尉 Naioal Chiao ug Uiversiy cwliu@wis.ee.cu.edu.w Oulies Sigal Models & Classificaios Sigal Space & Orhogoal Basis Fourier Series &rasform
More informationWeek 8 Lecture 3: Problems 49, 50 Fourier analysis Courseware pp (don t look at French very confusing look in the Courseware instead)
Week 8 Lecure 3: Problems 49, 5 Fourier lysis Coursewre pp 6-7 (do look Frech very cofusig look i he Coursewre ised) Fourier lysis ivolves ddig wves d heir hrmoics, so i would hve urlly followed fer he
More informationLinear System Theory
Naioal Tsig Hua Uiversiy Dearme of Power Mechaical Egieerig Mid-Term Eamiaio 3 November 11.5 Hours Liear Sysem Theory (Secio B o Secio E) [11PME 51] This aer coais eigh quesios You may aswer he quesios
More informationECE-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 informationSome 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