POLYLOGARITHMS, MULTIPLE ZETA VALUES, AND THE SERIES OF HJORTNAES AND COMTET

Size: px
Start display at page:

Download "POLYLOGARITHMS, MULTIPLE ZETA VALUES, AND THE SERIES OF HJORTNAES AND COMTET"

Transcription

1 POLYLOGARITHMS, MULTIPLE ZETA VALUES, AND THE SERIES OF HJORTNAES AND COMTET Noes by Tim Jameso December 9 edied by Graham Jameso, wih refereces added, March 4 Irodcio The polylogarihm fcio is defied for < ad ay real s by Li s s. For pariclar vales of s, i ca he be eeded aalyically o a wider rage of real or comple. I is simlaeosly a power series i ad a Dirichle series i s. The firs pblished sdy of he fcio was by A. Joqière i 889, ad i is someimes called Joqière s fcio. Noe ha polylogarihmic fcios meas somehig qie differe! These oes are a smmary of some resls o polylogarihms ha I have see saed i varios places, sch as Wikipedia ad [BBC], largely wih proofs ha I have worked o for myself. The mehods are mosly elemeary. We resric o ieger s k, ad sally real. However, i places he reader is ivied o accep ha formlae esablished for real also apply for comple ; I ca spply a rigoros jsificaio if pressed. We sar wih a few immediae facs. Firsly, Li, eedig meromorphically o he whole plae, ad Li log, eedig o all real < or comple ecldig real. For <, or wih k >, we have Li k + Li k k Li k. For k >, Li k ζk, 3 I pariclar, Li ζ ad Li ζ3. Li k k ζk. 4

2 For k ad, we have from he series Li k ζk ad Li k. Frher, Li k Li k also, Li k ad Li k Li k d. 5 Termwise iegraio of he series is jsified by iform covergece for <, ad he by coiiy of Li k a ad. We will work o varios special vales of Li ad Li 3, which were fod by Lade as log ago as 78. I pariclar, we evalae Li 3 φ, where φ + 5 is he golde raio. This is sed o prove Hjoraes series epressio 35 for ζ3. My proof of Come s correspodig sm for ζ4 ivolves qaiies like Li 4 e πi/3. The dilogarihm The dilogarihm Li is someimes called Spece s fcio, i ribe o a pioeerig sdy of i by W. Spece i 89. Beware of he fac ha some comper algebra sysems deoe Li by dilog. By ermwise iegraio of he series log we obai he ideiy log Li d, which we ow se o defie Li for all. Noe ha ad for >, Li ζ log d log d log log + Li d d. Clearly, Li log /, ad hece Li is sricly icreasig for all <. For < <, we have Li ζ + ζ + log d log d.

3 Replacig by, his says Li ζ log d [ log log ] + log log Li, so we have he followig ideiy, kow as Eler s reflecio formla: log d Li + Li ζ log log. 7 I pariclar, sig he well-kow ideiy ζ π /, we have We ca rewrie 8 as a epressio for ζ: Li ζ log π log. 8 ζ log +. Takig log as kow, his ca be regarded as a series for ζ ha coverges mch more rapidly ha /. where We ow give wo frher ideiies for Li. Firsly, for >, we have Li Li + F ζ + F F log + Combied wih he same saeme for /, his gives d. Li + Li ζ + F + F. B so we have F / / log + d log + log F log, Li + Li ζ log. 9 d 3

4 So for >, we have he followig series epressio for Li i powers of : Li log ζ +, ad we ca dedce Li log ζ + r, where < r /. For < <, we have also Li log d log / d log log + v v Li log. d dv log Applyig his also o /, we have he followig ideiy for all > : Li + Li log. Usig, 7, 9 ad, we ca redce he compaio of Li for ay < o compaio of vales of a mos a few vales of Li y wih y. Now cosider φ. Noe ha he fdameal eqaio saisified by φ may be wrie: φ φ +, φ + φ, φ + φ. Pig φ i,, 7 respecively, we obai hree liear eqaios relaig Li φ, Li φ, ad Li φ : Sbracig from gives Now sbracig 4 from 3, we have Li φ + Li φ Li φ, Li φ + Li φ log φ. Li φ + Li φ ζ log φ. 3 Li φ 3 Li φ log φ. 4 5 Li φ ζ 5 log φ, 4

5 i.e. Now 3 or 4 gives Li φ 5 ζ log φ π 5 log φ. 5 while gives Li φ 3 5 ζ log φ π log φ, Li φ 5 ζ + log φ π 5 + log φ, 7 hece fially 9 gives Li φ 3 5 ζ log φ π log φ. 8 If we iclde Li, he we have fod eigh special vales of Li for real. I have see i saed ha hese are he oly oes kow o be epressible i his kid of way. We ow briefly cosider comple argmes. Sbsiio i he series gives Li i ζ + ig, Li 8 i ζ ig, 8 where G is Caala s cosa. Assmig valid for comple argmes, ake + i, so ha i ad + i. We obai + i Li 8 ζ + ig For e iθ, we have RLi e iθ 5π 9 8 log + i cos θ πi log + 4 G π 8 log. π B θ, π where B is he Berolli polyomial B + ad B B {}. Also, ILi e iθ which is called he Clase fcio i [BBC]. si θ, There are may frher formlae ivolvig Li : see, for eample, Wikipedia, [Lew] ad [Ma]. Oe is Abel s ideiy, which eqaes a combiaio of five Li vales o log log y. 5

6 The rilogarihm For <, we have by 5 Li 3 Li d. 9 Sice Li has bee defied by for all, we ca se 9 o defie Li 3 for all sch. So we have Li 3 Li d log d d log d d log log d, valid regardless of he sig of. For < <, sbsiio of ow gives Li 3 log log d + Li log, which ca also be derived direcly from he series epressio. Frher, for >, Li 3 log log d log + log d log log + d + Li log. I pariclar, ζ3 Li 3 log log d. 3 Iegraig by pars i, we obai for, I pariclar, Li 3 [ log log ] log d + Li log, log d + Li log + log log. 4 log d ζ3.

7 Usig 9, we ca derive a correspodig saeme for Li 3. [This has bee added o Tim s origial versio, i which he followig ideiy was dedced from below.] For >, wrie By, Wih replaced by, his says F log log + d. Li 3 F F + Li log. Li 3 F F Li log. Combiig hese epressios ad sig 9, we have Li 3 Li 3 F F log [ Li + Li ] Sbsiig /, we have ad we coclde ha F F F + ζ log + log3. / / log log + 3 log3 + F 3 log3 + F, d log [log + log ] d Li 3 Li 3 ζ log + log3. 5 I follows ha for >, Li 3 log3 ζ log r, where < r. We ow prove aoher ideiy relaig Li 3, Li 3 ad Li 3. I agai goes back o Lade arod 78. [The proof give here was fod amog Tim s hadwrie papers; i replaces a more complicaed proof i Tim s yped versio.] Le < < ad S Li 3 + Li 3 + Li 3. We epress everyhig i erms of iegrals o [, ]. The deails are kep simpler by epressig he iegrads i erms of Li raher ha log erms. Firsly, sig 9 ad 7, we 7

8 have Secodly, Li Li 3 d Li ζ3 d ζ3 [ζ log log Li ] d ζ3 + ζ log + Li 3 Thirdly, wih obvios sbsiios, Combiig he hree erms, we have where G Li log log d Li 3 / / S ζ3 + ζ log + log log + Li d + Li d Li v dv v Li d Li d. G d, Li d. + [Li + Li ]. Now by, we have G log log log + d [ ] d log log log3, d. so G d log3 log log. So for < <, we have he ideiy Li 3 + Li 3 + Li 3 ζ3 + ζ log + log3 log log. 8

9 Oe ca dedce 5 by wriig his wih i place of, akig he differece ad pig for. Pig i gives so ha Li 3 Li 3 + ζ3 + ζ log log log + log3 3 4 ζ3 + ζ3 ζ log + log3 log3 7 4 ζ3 ζ log + 3 log3, Li 3 7 π ζ3 log + 8 log3. 7 This gives a series covergig rapidly o ζ3. A more direc proof of 7 is give i [Mel]. Pig φ ad sig he ideiies relaig φ, φ ad φ, we ge Li 3 φ + Li 3 φ + Li 3 φ ζ3 ζ log φ log φ log φ + log3 φ ζ3 ζ log φ + log 3 φ log3 φ ζ3 ζ log φ + 5 log3 φ. B by, Li 3 φ + Li 3 φ 4 Li 3φ, hece Li 3 φ 4 π ζ3 log φ log3 φ. 8 I seems ha here are o kow sch special vales ivolvig φ for higher k, alhogh here are impora relaios bewee varios vales. This is o do wih polylogarihm ladders irodced by Leoard Lewi, which are impora i K-heory ad algebraic geomery, ad ca be sed i cojcio wih he BBP algorihm for compig varios cosas. A proof of ζ π / ad some power series relaed o arcsi For <, he sbsio gives d + d + arca arcsi. 9 Sice also d d arcsi arcsi, 9

10 we ow have arcsi arcsi y y dy y d dy y + y y dy d y + y [ log y + y ] y y d log + d. 3 I pariclar, o show ha ζ π /, we have π 4 arcsi log d log d 3 ζ. + Aleraively, we ca eqae he iegral o Li Li by. This proof has similariies wih he oe give by Nick Lord [Lo]. [Tim s proof has ow appeared i Mah. Gazee [Jam].] To derive a power series from 9, observe ha for < ad, ad d So we have for <, + + π/ cos θ dθ arcsi. 3 This ca also be see as a case of he hypergeomeric series F, ; 3 ;. For eample, he case gives π 3 3.

11 Formlae like his form he basis for varios programs which se a spigo algorihm o calclae π, wih ime roghly proporioal o he sqare of he mber of digis reqired e.g. oe by Wier ad Flimmekamp. Now by iegraig, or by similar reasoig from 3, we have eqivalely for <, The case gives arcsi, 3 arcsi π Eiher by he ideiy sih y i si iy, or by similar reasoig wih replaced by, we have also Hjoraes series for ζ3 sih. 34 We give a proof of his ideiy sig 34 ad he vales of Li φ ad Li 3 φ. The coecio wih φ arises from he fac ha sih log φ. Le The by 34, S S 3. 4 sih d sih log φ log φ log φ log φ 4 sih cosh d sih coh d e + e d v e v + dv e v v ev + e v dv

12 log φ 4 3 log3 φ log3 φ log3 φ + ζ3 v + log φ φ φ e v dv v e v dv log d log φ d log d log3 φ. v log Now sbsiig from 4, ad he he vales of Li φ ad Li 3 φ from 5 ad 8, we have S ζ3 Li 3 φ + Li φ log φ + log φ log φ log3 φ ζ3 Li 3 φ 4Li φ log φ + 4 log φ log φ log3 φ ζ3 Li 3 φ 4Li φ log φ 8 3 log3 φ ζ3 Li 3 φ 4 5 ζ log φ log φ 8 3 log3 φ ζ3 Li 3 φ 8 5 ζ log φ log3 φ ζ3 4 5 ζ3 4 5 ζ log φ + 3 log3 φ 8 5 ζ log φ log3 φ 5 ζ3, by a ea cacellaio. So ζ This series was fod by Hjoraes i 953 [Hj]. I has someimes bee wrogly aribed o Apéry, becase i was sed i his proof ha ζ3 is irraioal [Ap]. However, i is o sed i he simpler proof of Apéry s heorem by Bekers [Be]. A proof of 35 ha does o ivolve polylogarihms is olied i [VDP]; i is reprodced i [BB, p ]. A geeralized versio is proved i [AG]. Some series ivolvig H We deoe he harmoic sm by H r. For <, we have easily r log j j k k k H.

13 Similarly, i he prodc log j j /j k k /k, he coefficie of, for, is so j j j j log j + H j, Sice H H + also for wih H, we dedce Iegraio of 3 gives hece Iegraig agai, we obai H log + Li. H H H. 3 log d, 37 log d + Li 3 H 3 log log log d d d d log d, 38 which we ll se wih e πi/3 laer. Some mliple zea vales We defie he mliple zea vale fcio as ζs,..., s k s s k,..., k < < < k Aoyigly his is someimes wrie ζs k,..., s isead! Here I will oly cosider ζs,. We have ζs, m m s m+ m s m k. m +. 3

14 Also, reversig he order i he firs epressio, we have i pariclar, ζs, ζ, m m s. H. 39 Mos obviosly, we have for Rs > ζs, s m s m, m< m s m, m m,m s s ζs ζs. 4 The case s gives ζ, π4 3 π4 9 3 ζ Takig i 37 ad applyig 4, we have ζ, ζ3. H log d a ideiy already kow o Eler. Laer I fod he followig direc proof avoidig iegrals. [Noe added by Graham Jameso: his mehod ca be see, for eample, i [BBr, p. 7 8], where i is aribed o R. Seiberg]. Sice we have ζ, ζ, m m m mm +. m + m + mm +. 4

15 Now ad by cacellaio so mm + m m m + m m + + m m H m, ζ, m H m m ζ3 + m ζ3 + ζ,. H m m A similar mehod delivers a ideiy for ζ, 3, which will be sed for Come s series. [Tim s origial mehod was by maiplaio of he series for Li ; he followig is slighly shorer ad more like he previos proof.] ζ, 3 m m m + 3 m + mm + ad mm + m m + m + m m + m m + m 3 m + m m +, so, as before, ζ, 3 m ζ4 + H m m 3 m m m m + H m m 3 ζ, ζ4 + ζ, 3 ζ,. Hece, by 4, ζ, 3 ζ4 ζ, ζ

16 Come s series for ζ4 For his, [BBC] gives a referece o Come s book [Com], b I have o see his or ay oher proof. Here is my proof compleed Perhaps i cold be sbsaially simplified! Le From 33, we have so S y y z z π π π y S 3 4. y 4 arcsi z dz dy z arcsi z dy z y dz arcsi z log z dz 4 arcsi z dz z si θ θ log si θ cos θ dθ z si θ θ co θ log si θ dθ θ d dθ log si θ dθ 4 [ θ log si θ ] π π + 4 θ log si θ dθ π 8 θ log si θ dθ. Now epad as follows maybe somehig circlar is happeig here?: e iθ e iθ log si θ log θ π i + log e iθ. i so π S 8 θ θ π + i θ π log e iθ + log e iθ dθ 8I + I + 8I 3, where I π θ θ π dθ

17 π I i i i i i i ad by 3 π θ 3 πθ + π 4 θ dθ π π π4 4 4, θ θ π log e iθ dθ π θ πθ e iθ dθ [ θ πθ ] π e iθ π θ π e iθ i i dθ π [ 3 π e πi/3 i θ π ] π e iθ + i π ie πi/3 π 8 3 π e πi/3 4 + π π i 3 e πi/3 π 4 e πi/3 + π 8 π 3 e πi/3 + π 4 + i 4 3 e πi/3 πi 4 3 e πi/3 πi e πi/ , e iθ i dθ [ e iθ i 3 ] π I 3 π θ log e iθ dθ H H H H π θe iθ dθ [ ] π π θ e iθ e iθ i i dθ [ ] π πi e iθ e πi/3 i πi e πi/3 + 4 e πi/3 H πi e πi/3 + 3 e πi/3 3. 7

18 Hece S π π 9 e πi/3 + πi 3 3 e πi/3 πi e πi/ H 4πi 3 e πi/ e πi/3 4 3 π4 πiζ3 + 4ζ4 4ζ, π 9 + πi 3 4 e πi/ πi H e πi/3. 3 By 4, 4ζ, 3 ζ4, so he firs for erms eqae o π4 + 3ζ4 πiζ π 4 πiζ π 4 πiζ π4 πiζ3 53π πiζ3. So or formla becomes S 53π πiζ3 + 4π 9 + πi 3 4 e πi/ The imagiary par of S is zero, so we have proved 4π π πζ3 si π π cos π si 4 3 4π π + H cos π si πi H e πi/3. 3 Icideally, I cao evalae he separae coribios of ay of hese erms. The real erms give S 53π π π cos π 3 + 4π π H si π cos 3 3 π si π cos The wo sms here will r o o give a oal of ζ4. We ow evalae he firs sm. The coribio of each of he hree erms is of he form CB k, by he Forier series for 8

19 he periodified Berolli polyomial where B k B k {} k! e πi πi k k! πi k F k, + k F k,, F s, α Li s e πiα e πiα s. is he Lerch zea fcio. Spliig accordig o pariy gives ad cos π k The Berolli polyomials p o B 4 are k πk k! B k, si π k πk+ k+ k +! B k+. B, B, B +, B , B , so we fid cosπ/3 π B π 3, siπ/3 3 π3 3! B 3 π π π3 3 3, cosπ/3 4 π4 4! B 4 9

20 π π π So he firs sm i 43 is 4π 9 cosπ/3 + π 3 siπ/3 4 cosπ/ π 9 π + π 3 π π π π π π π Sice ad , we have proved S We ow defie By 38, we have so ha 44 becomes 9π π siπ/3 H 3 f f H log log log + cosπ/ d. 45 H 3, S 9π Rfeπi/3. 4 The obvios iegraio by pars gives a reflecio relaio bewee f ad f : f [ log log ] log log d log log log log + d log log log log + f d.

21 By 39 ad 4, f ζ, 3 ζ4. Also, so log log d. log log d f, f + f ζ4 + log log. 47 Sice fz fz his occrs whe f is aalyic ad real o he real ais, he case e πi/3 gives s he vale we wa: Iserig his io 4 gives so fially we have Come s series Rfe πi/3 fe πi/3 + fe πi/3 fe πi/3 + f e πi/3 ζ4 + πi 3 π 4 ζ4 + 3 π4 S π πi π π ζ4, ζ We have had wo occreces of ζ, 3 ζ4 i or calclaio of S. These did o simply 4 cacel o: he firs occrrece was 4ζ, 3, while he secod was f ζ, 3. Refereces added by Graham Jameso [AG] G. Almkvis ad A. Graville, Borwei ad Bradley s Apéry-like formla for ζ4 + 3, Eperimeal Mah , [Ap] R. Apéry, Irraioalié de ζ e ζ3, Asérisqe 979, 3. [Be] F. Bekers, A oe o he irraioaliy of ζ ad ζ3, Bll. Lodo Mah. Soc. 979, 8 7. [BB] Joaha M. Borwei ad Peer B. Borwei, Pi ad he AGM, Joh Wiley 987.

22 [BBr] [BBC] Joaha M. Borwei ad David M. Bradley, Thiry-wo Goldbach variaios, I. J. Nmber Theory,, 5 3. Joaha M. Borwei, David M. Bradley ad Richard E. Cradall, Compaioal sraegies for he Riema zea fcio, J. Comp. Appl. Mah., [Com] Lois Come, Advaced Combiaorics, Reidel, Dordrech 974. [Hj] [Jam] M. M. Hjoraes, Overførig av rekke k /k3 il e besem iegral, Proc. h Cog. Scad. Mah. Ld, 953, Ld 954. Tim Jameso, Aoher proof ha ζ π / via doble iegraio, Mah. Gazee 97 3, [Lew] Leoard Lewi, Polylogarihms ad associaed fcios, Norh Hollad 98. [Lo] N. Lord, Ye aoher proof ha / π /, Mah. Gazee 8, [Ma] [Mel] [VDP] [Zag] Leoard Maimo, The dilogarihm fcio for comple argme, Proc. Royal Soc. Lodo 459 3, Joh Melville, A simple series represeaio for Apéry s cosa, Mah. Gazee 97 3, Alfred va der Poore, A proof ha Eler missed: Apéry s proof of he irraioaliy of ζ3, Mah. Ielligecer 979, Do Zagier, The dilogarihm fcio, mahs.dr.ac.k/dma hg/dilog.pdf pdaed wih mior correcios, November 8

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

On an integral involving the digamma function. Donal F. Connon. 5 December 2012

On an integral involving the digamma function. Donal F. Connon. 5 December 2012 O a iegral ivolvig he digamma fcio Doal F. Coo dcoo@bopeworld.com 5 December Absrac We cosider several possible approaches o evalaig he iegral ψ ( + ) d ad he log( + ) relaed logarihmic series ad, i he

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

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

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 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

A Note on Integral Transforms and Differential Equations

A Note on Integral Transforms and Differential Equations Malaysia Joral of Mahemaical Scieces 6(S): -8 () Special Ediio of Ieraioal Workshop o Mahemaical Aalysis (IWOMA) A Noe o Iegral Trasforms ad Differeial Eqaios, Adem Kilicma, 3 Hassa Elayeb ad, Ma Rofa

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

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

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

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

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

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

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

CLOSED FORM EVALUATION OF RESTRICTED SUMS CONTAINING SQUARES OF FIBONOMIAL COEFFICIENTS

CLOSED 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 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

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

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

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

Numerical KDV equation by the Adomian decomposition method

Numerical KDV equation by the Adomian decomposition method America Joral o oder Physics ; () : -5 Pblished olie ay (hp://wwwsciecepblishiggropcom/j/ajmp) doi: 648/jajmp merical KDV eqaio by he Adomia decomposiio mehod Adi B Sedra Uiversié Ib Toail Faclé des Scieces

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

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

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

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

Mixture of a New Integral Transform and Homotopy Perturbation Method for Solving Nonlinear Partial Differential Equations

Mixture of a New Integral Transform and Homotopy Perturbation Method for Solving Nonlinear Partial Differential Equations Adaces i Pre Mahemaics,,, 7- hp://d.doi.org/.46/apm..45 Pblished Olie May (hp://www.scirp.org/joral/apm) Mire of a New Iegral Trasform ad omoopy Perrbaio Mehod for Solig Noliear Parial Differeial Eqaios

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

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

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

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

HYPOTHESIS TESTING. four steps

HYPOTHESIS TESTING. four steps Irodcio o Saisics i Psychology PSY 20 Professor Greg Fracis Lecre 24 Correlaios ad proporios Ca yo read my mid? Par II HYPOTHESIS TESTING for seps. Sae he hypohesis. 2. Se he crierio for rejecig H 0. 3.

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

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

1.225J J (ESD 205) Transportation Flow Systems

1.225J J (ESD 205) Transportation Flow Systems .5J J ESD 5 Trasporaio Flow Sysems Lecre 3 Modelig Road Traffic Flow o a Li Prof. Ismail Chabii ad Prof. Amedeo Odoi Lecre 3 Olie Time-Space Diagrams ad Traffic Flow Variables Irodcio o Li Performace Models

More information

Adomian Decomposition Method and its. Modification for Nonlinear. Abel's Integral Equation

Adomian Decomposition Method and its. Modification for Nonlinear. Abel's Integral Equation I. Joral of Mah. Aalysis, Vol. 7,, o. 4, 49-5 HIKARI d, www.m-hikari.com hp://d.doi.org/.9/ijma..779 Adomia Decomposiio Mehod ad is Modificaio for Noliear Abel's Iegral Eqaio R. H. Kha ad H. O. Bakodah

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

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

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

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

Stationarity and Unit Root tests

Stationarity and Unit Root tests Saioari ad Ui Roo ess Saioari ad Ui Roo ess. Saioar ad Nosaioar Series. Sprios Regressio 3. Ui Roo ad Nosaioari 4. Ui Roo ess Dicke-Fller es Agmeed Dicke-Fller es KPSS es Phillips-Perro Tes 5. Resolvig

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

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

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

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

arxiv: v1 [math.nt] 13 Dec 2010

arxiv: v1 [math.nt] 13 Dec 2010 WZ-PROOFS OF DIVERGENT RAMANUJAN-TYPE SERIES arxiv:0.68v [mah.nt] Dec 00 JESÚS GUILLERA Abrac. We prove ome diverge Ramauja-ype erie for /π /π applyig a Bare-iegral raegy of he WZ-mehod.. Wilf-Zeilberger

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

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

Math 210A Homework 1

Math 210A Homework 1 Math 0A Homework Edward Burkard Exercise. a) State the defiitio of a aalytic fuctio. b) What are the relatioships betwee aalytic fuctios ad the Cauchy-Riema equatios? Solutio. a) A fuctio f : G C is called

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

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

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

On Numerical Solutions of Two-Dimensional Boussinesq Equations by Using Adomian Decomposition and He's Homotopy Perturbation Method

On Numerical Solutions of Two-Dimensional Boussinesq Equations by Using Adomian Decomposition and He's Homotopy Perturbation Method Available a hp://pvam.ed/aam Appl. Appl. Mah. ISSN: 93-9466 Special Isse No. (Ags ) pp. Applicaios ad Applied Mahemaics: A Ieraioal Joral (AAM) O Nmerical Solios of Two-Dimesioal Bossiesq Eqaios by Usig

More information

The Bilateral Laplace Transform of the Positive Even Functions and a Proof of Riemann Hypothesis

The Bilateral Laplace Transform of the Positive Even Functions and a Proof of Riemann Hypothesis The Bilateral Laplace Trasform of the Positive Eve Fuctios ad a Proof of Riema Hypothesis Seog Wo Cha Ph.D. swcha@dgu.edu Abstract We show that some iterestig properties of the bilateral Laplace trasform

More information

Department of Mathematical and Statistical Sciences University of Alberta

Department of Mathematical and Statistical Sciences University of Alberta MATH 4 (R) Wier 008 Iermediae Calculus I Soluios o Problem Se # Due: Friday Jauary 8, 008 Deparme of Mahemaical ad Saisical Scieces Uiversiy of Albera Quesio. [Sec.., #] Fid a formula for he geeral erm

More information

In algebra one spends much time finding common denominators and thus simplifying rational expressions. For example:

In algebra one spends much time finding common denominators and thus simplifying rational expressions. For example: 74 The Method of Partial Fractios I algebra oe speds much time fidig commo deomiators ad thus simplifyig ratioal epressios For eample: + + + 6 5 + = + = = + + + + + ( )( ) 5 It may the seem odd to be watig

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

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

The Eigen Function of Linear Systems

The 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 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

VARIATIONAL ITERATION METHOD: A COMPUTATIONAL TOOL FOR SOLVING COUPLED SYSTEM OF NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS

VARIATIONAL ITERATION METHOD: A COMPUTATIONAL TOOL FOR SOLVING COUPLED SYSTEM OF NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS Joral of Sciece a Ars Year 6 No. 336 pp. 43-48 6 ORIGINAL PAPER ARIATIONAL ITERATION METHOD: A COMPTATIONAL TOOL FOR SOLING COPLED SYSTEM OF NONLINEAR PARTIAL DIFFERENTIAL EQATIONS MORF OYEDNSI OLAYIOLA

More information

6.2 The Moment-Curvature Equations

6.2 The Moment-Curvature Equations Secio 6. 6. The ome-crare Eqaios 6.. From Beam Theor o Plae Theor I he beam heor based o he assmpios of plae secios remaiig plae ad ha oe ca eglec he raserse srai he srai aries liearl hrogh he hickess.

More information

Lecture 8 April 18, 2018

Lecture 8 April 18, 2018 Sas 300C: Theory of Saisics Sprig 2018 Lecure 8 April 18, 2018 Prof Emmauel Cades Scribe: Emmauel Cades Oulie Ageda: Muliple Tesig Problems 1 Empirical Process Viewpoi of BHq 2 Empirical Process Viewpoi

More information

The modified Exp-function method and its applications to the generalized K(n,n) and BBM equations with variable coefficients

The modified Exp-function method and its applications to the generalized K(n,n) and BBM equations with variable coefficients IJST () A3 (Special isse-mahemaics): 359-365 Iraia Joral of Sciece & Techology hp://www.shiraz.ac.ir/e The modified Ep-fcio mehod ad is applicaios o he geeralized K() ad BBM eqaios wih varile coefficies

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

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

Calculus BC 2015 Scoring Guidelines

Calculus 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 information

In this section we will study periodic signals in terms of their frequency f t is said to be periodic if (4.1)

In 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 information

TR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT

TR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT TR/46 OCTOBER 974 THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION by A. TALBOT .. Itroductio. A problem i approximatio theory o which I have recetly worked [] required for its solutio a proof that the

More information

INTEGRATION BY PARTS (TABLE METHOD)

INTEGRATION BY PARTS (TABLE METHOD) INTEGRATION BY PARTS (TABLE METHOD) Suppose you wat to evaluate cos d usig itegratio by parts. Usig the u dv otatio, we get So, u dv d cos du d v si cos d si si d or si si d We see that it is ecessary

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

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

Chapter 11 Autocorrelation

Chapter 11 Autocorrelation Chaper Aocorrelaio Oe of he basic assmpio i liear regressio model is ha he radom error compoes or disrbaces are ideically ad idepedely disribed So i he model y = Xβ +, i is assmed ha σ if s = E (, s) =

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

11.6 Absolute Convergence and the Ratio and Root Tests

11.6 Absolute Convergence and the Ratio and Root Tests .6 Absolute Covergece ad the Ratio ad Root Tests The most commo way to test for covergece is to igore ay positive or egative sigs i a series, ad simply test the correspodig series of positive terms. Does

More information

Solutions to Homework 1

Solutions to Homework 1 Solutios to Homework MATH 36. Describe geometrically the sets of poits z i the complex plae defied by the followig relatios /z = z () Re(az + b) >, where a, b (2) Im(z) = c, with c (3) () = = z z = z 2.

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

Srednicki Chapter 20

Srednicki Chapter 20 Srednicki Chaper QFT Problems & Solions. George Ocober 4, Srednicki.. Verify eqaion.7. Using eqaion.7,., and he fac ha m = in his limi, or ask is o evalae his inegral:! x x x dx dx dx x sx + x + x + x

More information

On the Effective Region of Convergence of the Decomposition Series Solution

On the Effective Region of Convergence of the Decomposition Series Solution Joral of Algorihms & Compaioal Techology Vol. 7 No. 7 O he Effecive Regio of Covergece of he Decomposiio Series Solio J-Sheg Da a,b *, Radolph Rach c,, Zhog Wag a a School of Mahemaics ad Iformaio Scieces,

More information

1. (25 points) Use the limit definition of the definite integral and the sum formulas 1 to compute

1. (25 points) Use the limit definition of the definite integral and the sum formulas 1 to compute Math, Calculus II Fial Eam Solutios. 5 poits) Use the limit defiitio of the defiite itegral ad the sum formulas to compute 4 d. The check your aswer usig the Evaluatio Theorem. ) ) Solutio: I this itegral,

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

ECE 350 Matlab-Based Project #3

ECE 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 information

Relations on the Apostol Type (p, q)-frobenius-euler Polynomials and Generalizations of the Srivastava-Pintér Addition Theorems

Relations on the Apostol Type (p, q)-frobenius-euler Polynomials and Generalizations of the Srivastava-Pintér Addition Theorems Tish Joal of Aalysis ad Nmbe Theoy 27 Vol 5 No 4 26-3 Available olie a hp://pbssciepbcom/ja/5/4/2 Sciece ad Edcaio Pblishig DOI:269/ja-5-4-2 Relaios o he Aposol Type (p -Fobeis-Ele Polyomials ad Geealizaios

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

Section 11.8: Power Series

Section 11.8: Power Series Sectio 11.8: Power Series 1. Power Series I this sectio, we cosider geeralizig the cocept of a series. Recall that a series is a ifiite sum of umbers a. We ca talk about whether or ot it coverges ad i

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

Curvilinear Motion: Normal and Tangential Components

Curvilinear Motion: Normal and Tangential Components 15 Crviliear Moio: Noral ad Tageial Copoe Ref: Hibbeler 1.7, Bedford & Fowler: Dyaic.3 Whe he pah of a paricle i kow, a - coordiae ye wih a origi a he locaio of he paricle (a a ia i ie) ca be helpfl i

More information

xp (X = x) = P (X = 1) = θ. Hence, the method of moments estimator of θ is

xp (X = x) = P (X = 1) = θ. Hence, the method of moments estimator of θ is Exercise 7 / page 356 Noe ha X i are ii from Beroulli(θ where 0 θ a Meho of momes: Sice here is oly oe parameer o be esimae we ee oly oe equaio where we equae he rs sample mome wih he rs populaio mome,

More information

MDIV. Multiple divisor functions

MDIV. Multiple divisor functions MDIV. Multiple divisor fuctios The fuctios τ k For k, defie τ k ( to be the umber of (ordered factorisatios of ito k factors, i other words, the umber of ordered k-tuples (j, j 2,..., j k with j j 2...

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

Solutions to quizzes Math Spring 2007

Solutions to quizzes Math Spring 2007 to quizzes Math 4- Sprig 7 Name: Sectio:. Quiz a) x + x dx b) l x dx a) x + dx x x / + x / dx (/3)x 3/ + x / + c. b) Set u l x, dv dx. The du /x ad v x. By Itegratio by Parts, x(/x)dx x l x x + c. l x

More information

(I.D) THE PRIME NUMBER THEOREM

(I.D) THE PRIME NUMBER THEOREM (I.D) THE PRIME NUMBER THEOREM So far, i our discussio of the distributio of the primes, we have ot directly addressed the questio of how their desity i the atural umbers chages as oe keeps coutig. But

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

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

CHAPTER 2. Problem 2.1. Given: m k = k 1. Determine the weight of the table sec (b)

CHAPTER 2. Problem 2.1. Given: m k = k 1. Determine the weight of the table sec (b) CHPTER Problem. Give: m T π 0. 5 sec (a) T m 50 g π. Deermie he weigh of he able. 075. sec (b) Taig he raio of Eq. (b) o Eq. (a) ad sqarig he resl gives or T T mg m 50 g m 50 5. 40 lbs 50 0.75. 5 m g 0.5.

More information

International journal of Engineering Research-Online A Peer Reviewed International Journal Articles available online

International journal of Engineering Research-Online A Peer Reviewed International Journal Articles available online Ieraioal joral of Egieerig Reearch-Olie Peer Reviewed Ieraioal Joral ricle available olie h://www.ijoer.i Vol.1. Ie.4. 01 RESERCH RTICLE ON TERNRY QUDRTIC EQUTION M..GOPLN S.VIDHYLKSHMI S.NIVETHITH Dearme

More information

New Applications of Adomian Decomposition Method. Emad A. Az-Zo'bi

New Applications of Adomian Decomposition Method. Emad A. Az-Zo'bi Middle-Eas Joral of Scieific Research (): 75-7 5 ISSN 99-9 IDOSI Pblicaios 5 DOI:.589/idosi.mejsr.5... New Applicaios of Adomia Decomposiio Mehod Emad A. Az-Zo'bi Deparme of Mahemaics ad Saisics Mah Uiversiy

More information

5 Sequences and Series

5 Sequences and Series Bria E. Veitch 5 Sequeces ad Series 5. Sequeces A sequece is a list of umbers i a defiite order. a is the first term a 2 is the secod term a is the -th term The sequece {a, a 2, a 3,..., a,..., } is a

More information

On The Geometrıc Interpretatıons of The Kleın-Gordon Equatıon And Solution of The Equation by Homotopy Perturbation Method

On The Geometrıc Interpretatıons of The Kleın-Gordon Equatıon And Solution of The Equation by Homotopy Perturbation Method Available a hp://pvam.ed/aam Appl. Appl. Mah. SSN: 9-9466 Vol. 7, sse (December ), pp. 69-65 Applicaios ad Applied Mahemaics: A eraioal Joral (AAM) O The Geomerıc erpreaıos of The Kleı-Gordo Eqaıo Ad Solio

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

Short and fuzzy derivations of five remarkable formulas for primes

Short and fuzzy derivations of five remarkable formulas for primes SHORT AND FUZZY DERIVATIONS Short ad fuzzy derivatios of five remarkable formulas for primes THOMAS J. OSLER. Itroductio The prime umbers have fasciated us for over 600 years. Their mysterious behaviour

More information

Chapter 9 Autocorrelation

Chapter 9 Autocorrelation Chaper 9 Aocorrelaio Oe of he basic assmpios i liear regressio model is ha he radom error compoes or disrbaces are ideically ad idepedely disribed So i he model y = Xβ +, i is assmed ha σ if s = E (, s)

More information