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

Size: px
Start display at page:

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

Transcription

1 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 mod (0 < k ). If he umber of such subses is deoed N k he N k = 1 s 2 s s) s ) ( (k;s) s (k; s) ): Here ' deoes he Euler phi fucio ad is he Mobius fucio. This elaboraes o a resul by Erd}os ad Heilbro. We also derive a similar resul for ie abelia groups. 1 Iroducio Le A = f1; 2; : : : ; g. There have bee a umber of resuls i he pas abou how large a subse A A has o be so ha he sums of he elemes of A possess a cerai propery, [1], [2], [3]. I paricular, Erd}os ad Heilbro [2] proved he followig resul: Le be a posiive ieger, a 1 ; : : : ; a k disic residue classes mod, ad N a residue class mod. Le F (N; ; a 1 ; : : : ; a k ) deoe he umber of soluios of he cogruece where e 1 ; : : : ; e k ake he values of 0 or 1. e 1 a 1 + : : : + e k a k N mod Theorem 1 (Erd}os, Heilbro) Le a i be ozero for every i ad le p be a prime. The if k 3 p?2! 1 as p! 1. F (N; p; a 1 ; : : : ; a k ) = 2 k p?1 (1 + o(1)) 1

2 We cosider he relaed problem of explicily deermiig he umber of subses A A wih he propery ha he sum of he elemes of A is cogrue o k mod. Noe ha his is equivale o deermiig F (k; ; a 1 ; : : : ; a ) whe 0 < k. This follows if we accep he coveio ha he elemes of he empy se sum up o 0 mod. We will deoe F (k; ; a 1 ; : : : ; a ) by N. k Clearly N k 1. This is because for ay ; k, he subse fkg of A has he desired propery. Aoher subse of A wih his propery for 3; k = 0 is he subse B = fx 2 A : gcd(x; ) = 1g. This is a well kow resul. 2 Calculaio of N k Proposiio 2 Cosider he polyomial P (x) deed as follows: P (x) = =1 (1 + x ) = (+1) 2 r=0 a ;r x r : Le! = e 2i be a primiive h roo of uiy. The N k = 1 =1!?k P (! ): Proof: Noice ha each coecie of x r i P (x) is equal o he umber of subses of A ha sum o r. N k is he sum over he coecies of x r where divides r? k. Therefore, N k = :+k0 We will prove he proposiio usig (1) ad he followig Lemma: a ;+k : (1) Lemma 3 Le be a posiive ieger. The P?1 =0! = 0 whe 6 ad whe. Proof: Cosider he equaio x? 1 = 0. We facor his as (x? 1)(1 + x + x 2 + : : : + x?2 + x?1 ) = 0: Noe ha! is a roo of x? 1 for every. Hece i is a roo of he secod facor if ad oly if!? 1 6= 0. The resul follows. Now cosider (+1) 2 P (! ) = k=0 a ;k! k : 2

3 The =1!?k P (! ) =!?k =1 = = (+1) 2 r=0 (+1) 2 r=0 a ;r =1 :+k0 = (N k ): a ;r! r! (r?k) a ;+k Proposiio 4 P (! ) = 2 (;) if of ; (1 ). (;) i ad 0 oherwise. Here (; ) deoes he g.c.d. Proof: We shall rs prove wo echical lemmas ad he combie hem o obai he required resul. Lemma 5 Proof: Noe ha P (! ) = [P (;) (! (;) )](;) : P (! ) = = r=1 r=1 (1 + [! ] r (;) (;) ) (1 + [! (;) ] r (;) ): Now! (;) =! (;). Hece P(! ) = (;) r=1 (1 + [! (;) (;) Furhermore, ( ; ) = 1 so! is a primiive (;) (;) (;) rages from 1 o, he facors repea hemselves (; ) imes, i.e. Recallig ha ( (;) ; i P (;) (! (;) ). Hece, P P (! ) = [ (;) r=1 = [P (1 + [! (! (;) (;) (;) (;) ) = 1 we oice ha P (! (;) (;) (;) (;) (;) (! (;) (;) (;) ] r ): h roo of uiy. Therefore as r (;) )] (;) : ] r )] (;) ) = P (;) (! (;) ) 3 ) is us a permuaio of he facors

4 which gives he resul Lemma 6 P r (! r ) = 1? (?1) r : P (! ) = [P (;) (! (;) )](;) : Proof: Cosider he polyomial x r? 1. The 1;! r ;! r 2 ; : : : ;!r?1 r of his polyomial. Thus are he disic r roos Subsiuig x =?1 we ge i.e. 1? (?1) r = P k (! r ). Now This is equal o 2 (;) whe x r? 1 = (x? 1)(x?! r )(x?! 2 r ) (x?!r?1 r ): ((?1) r? 1) = (?1) r (1 +! r )(1 +! 2 r) (1 +! r r): (;) Proposiio 7 Suppose, =. The Proof: Firs oe ha! x Now rewrie! kx as! This is because reduces o ) (k;) ) k (;k) x (;k) P (! ) = [P (;) (! (;) )](;). Hece = [1? (?1) (;) ] (;) : i ad 0 oherwise.!?kx = ) (k;) ) (k;)! x : (k;) =! x. Also x ad?x are boh elemes of Z. Therefore!?kx =! kx :! kx = ) (k;) ) = (k;)!! k (;k) x (;k) k (;k) x (;k) : summads are ideical 8x 2 Z. Fially, sice ( k ; ) = 1 his (;k) (;k) ) (k;) ) which complees he proof of he proposiio. (k;) 4! x (k;)

5 Proposiio 8 2Z! = (): Proof: Le (x) deoe he h cycloomic polyomial. The P 2Z! egaive of he coecie of x )?1 i (x). is us he Claim 9 (x) = d (x m ) where = dm ad d is he produc of all he disic prime facors of. Proof: I is well kow ha (x) = Q r(x r? 1) (r). For a proof of his resul see [4], page 353. Now d (x m ) = Q sd(x s? 1) (s). If s ad s > d he s is divisible by he square of some prime ad so (s) = 0. Hece he claim. Claim 10 p (x) = (xp ) (x) if p is a prime ha does o divide. Proof: Oce agai we use he fac ha (x) = Q r(x r? 1) (r). I our case we have p (x) = rp = = (x p r rp:p=r? 1) (r) (x p r? 1) (r) rp:pr (x p r (x p? 1) () s(x s? 1) (sp) :? 1) (r) However is a muliplicaive fucio hece (sp) =?(s) so p (x) = ( (x p ))( (x))?1 : If p 2 for some prime p he by Claim 9 he coecie of x )?1 i (x) is 0. So assume ha = Q m p i=1 i, where he p i 's are disic. We ow use iducio o m ad Claim 10 o obai ha P 2Z! = (). Theorem 11 N k = 1 s 2 s s) s (k;s) )( s (k; s) ): Proof: Usig Proposiio 2 we obai ha N k = 1 =1!?k P (! ): 5

6 Now we use Proposiio 4 o obai Now le (; ) =. The N k = 1 N k = 1!?k : (;) odd 0 2 : odd 2 (;) :!?kx sice as x rages over Z, x rages over he elemes r such ha (r; ) =. Applyig Proposiio 10 we obai N k = 1 0 : odd 2 Fially, we use Proposiio 7 o coclude ha Subsiuig s = N k = 1 his reduces o N k = 1 : odd 2 s ) (k; )) 2 s ) (k; ) 1 C A! x (k; ) (k; ))( (k; )): s) s (k;s) )( s (k; s) ): For he case whe k = his formula ca easily be simplied o obai N = 1 s 2 s s): 3 A Theorem Abou Fiie Abelia Groups A aural geeralizaio of he problem discussed i he previous secio is a similar problem for ie abelia groups. Tha is, if G is a ie abelia group of order, we wa o calculae he umber of subses of G whose elemes sum up o he ideiy eleme (0) of G. For he purposes of his secio we will use he followig oaio: Le S deoe a k-uple of umbers, i.e. S = (s 1 ; s 2 ; : : : ; s k ). Give wo k-uples J ad N dee 0 < J N = 1 = 1 2 = 2 1 =1 2 =1 6 k = k k =1 : 1 C A :

7 Will will deoe he umber of subses of a ie abelia group G whose elemes sum up o 0 by N G. Theorem 12 Le G = Z 1 L Z2 L : : : L Zk be a ie abelia group of order = 1 2 k. Give a k-uple J dee T J =g.c.d.( 1 1 ; : : : ; k k ) ad le N = ( 1 ; 2 ; : : : ; k ). The N G = 1 [1? (?1) 0 < J N (;T J ) ](;T J) : We shall prove his heorem usig he same ideas as before. Proposiio 13 Cosider he polyomial F (x 1 ; x 2 ; : : : ; x k ) = 0 < S N (1 + x s 1 1 xs 2 2 x s k k ) = a x 1 1 x 2 2 x k k : The N G = 1 0 < J N F (! 1 1 ; : : : ;! k k ): Proof: The proof is ideical o ha of Proposiio 2. Proposiio 14 Proof: Noe ha! is i i =! F (! 1 1 ; : : : ;! k k ) = [1? (?1) i s i i F (! 1 1 ; : : : ;! k k ) =. Therefore = 0 < S N (;T J ) ](;T J) : (1 +! 1s 1 1! 2s 2 2! k s k k ) P i s i i i (1 +! ): 0 < S N Cosider he expoe i oe facor of he above produc for a xed S, i.e. i s i ( i i ) = T J ( i s i ( i i T J )): Claim 15 For every m (0 m ) here exiss a k-uple S such ha T J ( i s i ( i i T J )) T J m mod : 7

8 Proof: Noe ha g.c.d.( 1 ; : : : ; k 1 T J k T J ) = 1 ad herefore for ay ieger m here exiss s i 2 Z such ha s i i m = : i i T J Equivalely, T J m = T J ( i s i i i T J ): Now oe ha if ay s i is replaced by s i + i i he above equaio he we sill have equaliy (mod ). Thus every s i ca be chose o be less ha i. Therefore by he above claim we obai P i s i i i (1 +! ) = 0 < S N?1 m=0 (1 +! T J m = P (! T J ) = [1? (?1) ) (;T J ) ](;T J) ad so we have proved he proposiio. Proof (mai heorem): The heorem ow follows immediaely by combiig Proposiios 13 ad 14: 4 Furher Resuls N G = 1 0 < J N F (! 1 1 ; : : : ;! k k ) = 1 [1? (?1) 0 < J N (;T J ) ](;T J ) : Aoher problem relaed o he calculaio of N k is he calculaio of N ;m where 0 < m < (+1). N 2 ;m is deed o be he umber of subses B f1; 2; : : : ; g such ha P b2b b 0 mod m. We Remark ha N;m is easily obaied whe m. Proposiio 16 Le ; m be posiive iegers wih m. The N ;m = 1 m sm 2 s s): Proof: Usig Lemma 3 ad he same proof as give i Proposiio 2 we obai ha: N ;m = 1 m m =1 P (! m ): 8

9 Now 1 + (! m) m+i = 1 + (! m) i so he facors i P (! m) repea hemselves imes. Therefore m P (! ) = m [P m(! )] m m. Now we proceed as before o ge N ;m = 1 m sm 2 s s): Sevily, [5] has proposed he followig coecure: Coecure 17 The sequece fn;mg (+1) 2 m=1 is moooically decreasig. We also meio a ieresig coecio bewee our problem ad wo oher couig problems i combiaorics. Le C deoe he umber of circular sequeces of 0's ad 1's, where wo sequeces obaied by a roaio are cosidered he same. This problem is discussed i [6], page 75. The soluio is C = 1 )2 : This is ideical i form o our formula for N excep ha i our case we sum over all where i. Aoher relaed problem is he calculaio of he umber of moic irreducible polyomials of degree over a eld of q elemes where q is prime ([6], page 116). If he umber of such polyomials is deoed M q he M q = 1 d (d)q d : For q = 2 his has he exac same form as our formula for N k where (k; ) = 1. Oce agai, he oly dierece is ha our sum is over d such ha d i. Refereces [1] N. Alo ad G. Freima, O sums of a subse of a se of iegers, Combiaorica, 8(4) (1988), [2] P. Erd}os ad H. Heilbro, O he addiio of residue classes mod p, Aca Arihmeica, 9 (1964), [3] J. Olso, A addiive heorem modulo p, J. Combiaorial Theory, 5 (1968), [4] R. Dea, Classical Absrac Algebra, Harper ad Row, Publishers, New ork, [5] H. Sevily, persoal commuicaio. [6] J.H. va Li ad R.M. Wilso, A Course i Combiaorics, Cambridge Uiversiy Press

10 Niu Kichloo Deparme of Mahemaics MIT Cambridge, MA Lior Pacher Deparme of Mahemaics Calech Pasadea, CA 10

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

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

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

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

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

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

On The Eneström-Kakeya Theorem

On The Eneström-Kakeya Theorem Applied Mahemaics,, 3, 555-56 doi:436/am673 Published Olie December (hp://wwwscirporg/oural/am) O The Eesröm-Kakeya Theorem Absrac Gulsha Sigh, Wali Mohammad Shah Bharahiar Uiversiy, Coimbaore, Idia Deparme

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

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

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

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

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

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

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

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

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

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

Solution. 1 Solutions of Homework 6. Sangchul Lee. April 28, Problem 1.1 [Dur10, Exercise ]

Solution. 1 Solutions of Homework 6. Sangchul Lee. April 28, Problem 1.1 [Dur10, Exercise ] Soluio Sagchul Lee April 28, 28 Soluios of Homework 6 Problem. [Dur, Exercise 2.3.2] Le A be a sequece of idepede eves wih PA < for all. Show ha P A = implies PA i.o. =. Proof. Noice ha = P A c = P A c

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 4 9/16/2013. Applications of the large deviation technique

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 4 9/16/2013. Applications of the large deviation technique MASSACHUSETTS ISTITUTE OF TECHOLOGY 6.265/5.070J Fall 203 Lecure 4 9/6/203 Applicaios of he large deviaio echique Coe.. Isurace problem 2. Queueig problem 3. Buffer overflow probabiliy Safey capial for

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

Hadamard matrices from the Multiplication Table of the Finite Fields

Hadamard matrices from the Multiplication Table of the Finite Fields adamard marice from he Muliplicaio Table of he Fiie Field 신민호 송홍엽 노종선 * Iroducio adamard mari biary m-equece New Corucio Coe Theorem. Corucio wih caoical bai Theorem. Corucio wih ay bai Remark adamard

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

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

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

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

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

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

A Generalization of Hermite Polynomials

A Generalization of Hermite Polynomials Ieraioal Mahemaical Forum, Vol. 8, 213, o. 15, 71-76 HIKARI Ld, www.m-hikari.com A Geeralizaio of Hermie Polyomials G. M. Habibullah Naioal College of Busiess Admiisraio & Ecoomics Gulberg-III, Lahore,

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

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

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

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

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

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

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

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

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

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

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

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

arxiv: v1 [math.nt] 9 Jan 2019

arxiv: v1 [math.nt] 9 Jan 2019 Facorizaio of comosed olyomials ad alicaios FE Brochero Maríez a, Lucas Reis b,, Lays Silva a,1 a Dearameo de Maemáica, Uiversidade Federal de Mias Gerais, Belo Horizoe, MG, 30123-970, Brazil b Uiversidade

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

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

( ) ( ) ( ) ( ) (b) (a) sin. (c) sin sin 0. 2 π = + (d) k l k l (e) if x = 3 is a solution of the equation x 5x+ 12=

( ) ( ) ( ) ( ) (b) (a) sin. (c) sin sin 0. 2 π = + (d) k l k l (e) if x = 3 is a solution of the equation x 5x+ 12= Eesio Mahemaics Soluios HSC Quesio Oe (a) d 6 si 4 6 si si (b) (c) 7 4 ( si ).si +. ( si ) si + 56 (d) k + l ky + ly P is, k l k l + + + 5 + 7, + + 5 9, ( 5,9) if is a soluio of he equaio 5+ Therefore

More information

Mathematical Statistics. 1 Introduction to the materials to be covered in this course

Mathematical Statistics. 1 Introduction to the materials to be covered in this course Mahemaical Saisics Iroducio o he maerials o be covered i his course. Uivariae & Mulivariae r.v s 2. Borl-Caelli Lemma Large Deviaios. e.g. X,, X are iid r.v s, P ( X + + X where I(A) is a umber depedig

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

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

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

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

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 joural of Egieerig Research-Olie A Peer Reviewed Ieraioal Joural Aricles available olie hp://www.ijoer.i Vol.., Issue.., 3 RESEARCH ARTICLE INTEGRAL SOLUTION OF 3 G.AKILA, M.A.GOPALAN, S.VIDHYALAKSHMI

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

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

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

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

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

Basic Results in Functional Analysis

Basic Results in Functional Analysis Preared by: F.. ewis Udaed: Suday, Augus 7, 4 Basic Resuls i Fucioal Aalysis f ( ): X Y is coiuous o X if X, (, ) z f( z) f( ) f ( ): X Y is uiformly coiuous o X if i is coiuous ad ( ) does o deed o. f

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

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

Additional Tables of Simulation Results

Additional Tables of Simulation Results Saisica Siica: Suppleme REGULARIZING LASSO: A CONSISTENT VARIABLE SELECTION METHOD Quefeg Li ad Ju Shao Uiversiy of Wiscosi, Madiso, Eas Chia Normal Uiversiy ad Uiversiy of Wiscosi, Madiso Supplemeary

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

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

Limits to List Decoding Reed-Solomon Codes

Limits to List Decoding Reed-Solomon Codes Limis o Lis Decodig Reed-Solomo Codes Veaesa Guruswami Deparme of Compuer Sciece & Egieerig Uiversiy of Washigo Seale, WA 98195 vea@cswashigoedu Ari Rudra Deparme of Compuer Sciece & Egieerig Uiversiy

More information

DIVISIBILITY PROPERTIES OF GENERALIZED FIBONACCI POLYNOMIALS

DIVISIBILITY PROPERTIES OF GENERALIZED FIBONACCI POLYNOMIALS DIVISIBILITY PROPERTIES OF GENERALIZED FIBONACCI POLYNOMIALS VERNER E. HOGGATT, JR. Sa Jose State Uiversity, Sa Jose, Califoria 95192 ad CALVIN T. LONG Washigto State Uiversity, Pullma, Washigto 99163

More information

e x x s 1 dx ( 1) n n!(n + s) + e s n n n=1 n!n s Γ(s) = lim

e 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 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

MATH 304: MIDTERM EXAM SOLUTIONS

MATH 304: MIDTERM EXAM SOLUTIONS MATH 304: MIDTERM EXAM SOLUTIONS [The problems are each worth five poits, except for problem 8, which is worth 8 poits. Thus there are 43 possible poits.] 1. Use the Euclidea algorithm to fid the greatest

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

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

Discrete Mathematics. Independence polynomials of circulants with an application to music

Discrete Mathematics. Independence polynomials of circulants with an application to music Discree Mahemaics 309 (2009 2292 2304 Coes liss available a ScieceDirec Discree Mahemaics joural homepage: wwwelseviercom/locae/disc Idepedece polyomials of circulas wih a applicaio o music Jaso Brow,

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

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

APPLICATION OF THEORETICAL NUMERICAL TRANSFORMATIONS TO DIGITAL SIGNAL PROCESSING ALGORITHMS. Antonio Andonov, Ilka Stefanova

APPLICATION OF THEORETICAL NUMERICAL TRANSFORMATIONS TO DIGITAL SIGNAL PROCESSING ALGORITHMS. Antonio Andonov, Ilka Stefanova 78 Ieraioal Joural Iformaio Theories ad Applicaios, Vol. 25, Number 1, 2018 APPLICATION OF THEORETICAL NUMERICAL TRANSFORMATIONS TO DIGITAL SIGNAL PROCESSING ALGORITHMS Aoio Adoov, Ila Sefaova Absrac:

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

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

NEWTON METHOD FOR DETERMINING THE OPTIMAL REPLENISHMENT POLICY FOR EPQ MODEL WITH PRESENT VALUE

NEWTON METHOD FOR DETERMINING THE OPTIMAL REPLENISHMENT POLICY FOR EPQ MODEL WITH PRESENT VALUE Yugoslav Joural of Operaios Research 8 (2008, Number, 53-6 DOI: 02298/YUJOR080053W NEWTON METHOD FOR DETERMINING THE OPTIMAL REPLENISHMENT POLICY FOR EPQ MODEL WITH PRESENT VALUE Jeff Kuo-Jug WU, Hsui-Li

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

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

Review Answers for E&CE 700T02

Review Answers for E&CE 700T02 Review Aswers for E&CE 700T0 . Deermie he curre soluio, all possible direcios, ad sepsizes wheher improvig or o for he simple able below: 4 b ma c 0 0 0-4 6 0 - B N B N ^0 0 0 curre sol =, = Ch for - -

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

Descents of Permutations in a Ferrers Board

Descents of Permutations in a Ferrers Board Desces of Permuaios i a Ferrers Board Chuwei Sog School of Mahemaical Scieces, LMAM, Pekig Uiversiy, Beijig 0087, P. R. Chia Caherie Ya Deparme of Mahemaics, Texas A&M Uiversiy, College Saio, TX 77843-3368

More information

The Properties of Orthomorphisms on the Galois Field

The Properties of Orthomorphisms on the Galois Field Research Joural of Applied Scieces, Egieerig ad Techology 5(5): 1853-1858, 013 ISSN: 040-7459; e-issn: 040-7467 Maxwell Scieific Orgaizaio, 013 Submied: Augus 11, 01 Acceped: Sepember 03, 01 Published:

More information

Inference of the Second Order Autoregressive. Model with Unit Roots

Inference of the Second Order Autoregressive. Model with Unit Roots Ieraioal Mahemaical Forum Vol. 6 0 o. 5 595-604 Iferece of he Secod Order Auoregressive Model wih Ui Roos Ahmed H. Youssef Professor of Applied Saisics ad Ecoomerics Isiue of Saisical Sudies ad Research

More information

On The Generalized Type and Generalized Lower Type of Entire Function in Several Complex Variables With Index Pair (p, q)

On The Generalized Type and Generalized Lower Type of Entire Function in Several Complex Variables With Index Pair (p, q) O he eeralized ye ad eeralized Lower ye of Eire Fucio i Several Comlex Variables Wih Idex Pair, Aima Abdali Jaffar*, Mushaq Shakir A Hussei Dearme of Mahemaics, College of sciece, Al-Musasiriyah Uiversiy,

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