Algebraic Properties of Modular Addition Modulo a Power of Two

Size: px
Start display at page:

Download "Algebraic Properties of Modular Addition Modulo a Power of Two"

Transcription

1 Agebac Popees of Moda Addo Modo a Powe of Two S M Dehav Aeza Rahmpo Facy of Mahemaca ad Compe Sceces Khaazm Uvesy Teha Ia sd_dehavsm@hac Facy of Sceces Qom Uvesy Qom Ia aahmpo@sqomac Absac; Moda addo modo a powe of wo s oe of he mos appcabe opeaos symmec cypogaphy; heefoe vesgag cypogaphc popees of hs opeao has a sgfca oe desg ad aayss of symmec cphes Agebac popees of moda addo modo a powe of wo have bee sded fo wo opeads by Baee fse 05 Aso he ahos of hs pape have sded hs opeao some speca cases befoe I hs pape ag advaage of pevos eseaches hs aea we geeaze agebac popees of hs opeao fo moe ha wo smmads Moe pecsey we deeme he agebac degee of he compoe Booea fcos of moda addo of abay mbe of smmads modo a powe of wo as a vecoa Booea fco aog wh he mbe of ems ad vaabes hese compoe fcos As a es agebac degees of he compoe Booea fcos of Geeazed Psedo-Hadamad Tasfoms ae comped Keywods; Moda addo modo a powe of wo; Booea fco; Agebac Noma Fom; Agebac degee; Psedo-Hadamad Tasfom

2 I INTRODUCTION Moda addo modo s oe of he mos sed opeaos symmec cypogaphy Hee s a posve ege whch s say eqa o he sze of pca pocessos e o 64 Fo sace moda addo s sed Beooh [] ad RC4 [] seam cphes ad IDEA [3] RC6 [4] Twofsh [5] ad MARS [6] boc cphes I [7] agebac popees of hs opeao fo wo opeads have bee sded ad he ANF (Agebac Noma Fom) of s compoe Booea fcos ae deemed; aso we examed some agebac popees of moda addo modo a powe of wo speca cases [8] We oe ha fo a o of appcaos desg ad aayss of symmec cphes s mpoa ad sef o ow he agebac degee of he compoe fcos ad he mbe of ems ad vaabes hese fcos fo moda addo modo a powe of wo I [8] we obaed hese paamees fo moda addo modo a powe of wo wh a powe of wo smmads ad we poposed a agohm fo compg agebac degees of moda addo compoe Booea fcos geea case I hs pape we pese a expc foma fo agebac degees of he compoe Booea fcos of moda addo modo a powe of wo wh abay mbe of smmads aog wh he mbe of ems ad vaabes hese fcos The as a coseqece we deeme he agebac degee of he compoe Booea fcos of geeazed Psedo-Hadamad Tasfomaos; hese ypes of asfomaos ae sed some symmec cphes e Twofsh I Seco II we pese pemay defos ad heoems; Seco III we fd he agebac degee of compoe Booea fcos of moda addo some speca cases Seco IV peses a agohm fo fdg hese degees geea case Seco V s dedcaed o o ma ess fo fdg agebac degee of he compoe fcos of moda addo modo a powe of wo geea case Seco VI sdes he agebac degee of compoe Booea fcos of geeazed PHT s ad Seco VII s he cocso Le F II PRILIMINARY DEFINITIONS AND THEOREMS be he fed of ode Caesa podc of copes of Accodg o he defo of eges modo A paa ode as foows: o F F hee s a oe-o-oe coespodece bewee ( x x : F ca be defed as foows: 0 Z ) ( x) x 0 F ca be cosdeed as a veco space F ad Z g of I he above epeseao f he x s defed as x a x a 0 x ( x x0) ( 0) x x 0 0 x Each fco f : F F s caed a Booea fco Sppose ha f s a Booea fco; f ca be epeseed by s ANF as foows:

3 hee he coeffces ae deemed as f ( x) h x h F ; Z h h f (x) x () Agebac degee of a Booea fco s defed as he mbe of vaabes he oges em of s ANF o eqvaey he maxmm Hammg wegh wh m whee each w() s caed a vecoa Booea fco Obvosy f ( f m f0) f of ozeo s Each fco s eqvae o m f : F F 0 m s a Booea fco f : F F I s we-ow ha moda addo modo a powe of wo ca be epeseed Booea fom as foows: Sppose ha x x ) y y ) ad ( x0 ( y0 x y mod If ( 0 ) he x y c c x y c c x y x c y c 0 () Theoem [7]: Sppose ha he ANF of a Booea fco s x f : F F wh Z ; he ANF of he fco f ( x y) s of he fom f ( x y) c0 x ( c) y c ; (3) hee he sbaco s doe Z Theoem [7]: Sppose ha f ( y y y ) s of he fom y y y F ad f s defed as Theoem ; he ANF of f ( y y y ) y y y (4) 0 Regadg Theoem he agebac degee of he compoe Booea fcos of moda addo modo ca be deemed as foows: 0 Fo ad f ( x) x we ca acqe he agebac degees of he afoemeoed compoe fcos va eao (4) ad he fac ha a he ems he ghmos of hs eao ae dffee So f we fd he maxmm of he vaes w ( ) a ses } we ca fd he agebac degee of hese compoe Booea fcos {

4 III THE CASE The ess of hs seco have bee peseed [8]; b we evew hem hee becase o ew heoems ae poved wh he ad of he oaos ad coceps Le ad be hee oegave eges Accodg o he dscssos of Seco II we cosde he eqao (5) whee s ae Z ad 0 Now we asfom s o vecos wh maxmm Hammg wegh sm whch we ca hem opmm soos F Regadg Theoem ad eao (4) we see fo soos Theoem 3: Wh he above oaos fo Hammg wegh s eqa o Hammg wegh sm of he soos wh maxmm ad f w( ) ( ) (6) w( ) ( )( ) ; (7) he maxmm Hammg wegh sm s eqa o Poof: Cosde wo cases: Case ) coespods o he case : Cosde wo caegoes: Caegoy hese soos ae opmm soos coespods o he case ad caegoy A fs we pese a soo fo each caegoy ad he we pove ha Caegoy : 0 (8) ad fo Caegoy : ; (9) Hammg wegh sm of hese soos ae as (6) ad (7); ad ceay hese soos sasfy Eqao (5) Cosde a abe (Tabe A) fo each caegoy: A has coms The coms of A coespod o epeseao of s hs abe by F Each com s odeed boom-p fom dces p o We deoe ees A( ) A ( ) ad A () deoe he com ad he ow of A especvey Aso by oe (A) we efe o mbe of ' ' ees A If A ( ) ' ' he we defe he sgfcace of A( ) as ; ad he sgfcace

5 of A( ) s defed as zeo ohewse Fay ees A Now cosde he wo caegoes: sm( A) s defed as he sm of he sgfcaces of a a ) : Sppose ha ) ' ' soo 0 Yo ca see Tabe A fge Sce fo ees A have eas possbe sgfcaces so he peseed soo s opmm : I hs case Tabe A s modfed o fge Sppose ha a Tabe B coespods o aohe ad oe( B) oe( A) We defe epace he coespodg ey We defe B { Y Y Y Y } (0) sch a way ha each ow B() wh a A he same mae Yo ca see he Tabes Assme ha hee exs m Sce a ' ' We have ' ' sm( A ees B '0' ees A ( s ) fo s s s fo evey ozeo ey ey f he coespodg ey A ad B fge 3 ad m ' ' A() s a A() ' ' we ey ees B ( ) fo m ) sm( B ) () have dffee sgfcaces (we oe ha hee ae ees oy B ( ) ) afe smpfcao of he ef-had sde we ca om eqa ems wo sdes of Eqao () Now sm( A ) sm( B ) ad oe( B ) oe( A ) We oe ha oe of he s ad s ae eqa ad so wo sdes of () have dffee ems Sppose ha s he eas powe who oss of geeay We have s ss s s m s whch s a coadco; so (7) s opmm s s Case ) : We pese he wo foowg soos: Fo we have ad fo : 0 Fge

6 Sce a ees A have eas possbe sgfcaces so he peseed soo s opmm Yo ca see Tabe A fge 4 ' ' IV AN ALGORITHM FOR OPTIMUM SOLUTIONS I hs seco e [8] we pese a mehod fo effcey sovg he pobem of fdg he agebac degee of compoe Booea fcos of moda addo modo a powe of wo wh abay mbe of smmads Regadg he oaos ad assmpos of Seco IV we sa fom A() ad p ' ' ees he abe A ees A ( ) A() A() A() ad coe hs pocede seg a exa ey A yeds fom he pemae ow we deee sm( A) We e ohe ees be ' ' '0' ees fom A Now f ' ' sm( A) he covesey sag sm( A) ; ohewse we deee ' ' ees fom he owe ows ad coe hs pocede smay We oe ha hs soo s sch ha each ow ohe ha he as ow a mos oe of he ees s '0' sce ohewse hese wo ees ca be epaced by oe ey fom he above ow Now we cam ha hs soo has maxmm Hammg wegh sm Assme ha hee exss aohe soo wh geae Hammg wegh sm Aga eae a Tabe B o hs soo As befoe we cosc A ' ' ad B Sppose ha hee exs m Fom eqao (5) we have: ' ' ees A s ) ( m m ad ' ' ees A ) ( () Sma o he Caegoy powe; he we have of Case Theoem 33 who oss of geeay sppose ha s he eas m (3) whch s a coadco V THE MAIN THEOREMS I Seco IV we peseed a mehod fo effcey sovg he pobem of fdg he agebac degee of compoe Booea fcos of moda addo modo a powe of wo geea case I hs seco we oba he expc foma of hese degees Le ad be hee oegave eges Accodg o he dscssos of Seco II we cosde he eqao Fge

7 whee s ae Z (4) ad 0 As we ow hs eqao has oegave ege soos whch s eqa o he mbe of ems he ANF of he -h compoe fco of moda addo modo a powe of wo So we have: Fac 5: The mbe of ems he ANF of he -h compoe fco of moda addo modo wh smmads s eqa o Aso s easy o vefy ha he mbe of vaabes he ANF of he -h compoe fco s eqa o ( ) : Fac 5: The mbe of vaabes he ANF of he -h compoe fco of moda addo modo wh opeads s eqa o ( ) Accodg o he agohm poposed Seco IV we oba he opmm soos fo he eqao (5) geea case These soos ae eqa o agebac degees of he compoe Booea fcos of moda addo modo becase we have Noe 53: I eqao (5) f f ( y y y ) ( y y he some of y ) 0 y y y 's ae zeo ad so (5) s modfed o a eqao wh A ad B Fge 3

8 Case ad Case Fge 4 Theoem 54: The opmm soos fo (5) have Hammg wegh fo 0 ; hee w( ) og ( ) Poof: Accodg o he peseed agohm we cosc Tabe A Fge 5 Sce he sgfcace of each ey A () s ode o fd we have Smpfyg (6) we ge ad fo we have ( ) ( ) (6) og ( ) ( ) ( ) ( ) whch eads o Fge 5

9 Addg A ( ) '' o Tabe A eads o sm( A) ; so opmm Hammg wegh s obaed by sbacg he Hammg wegh of he exa amo fom w ( sm( A)) The exa amo s eqa o ( ( ) ) (7) Sbsg he vaes of (7) yeds If we deoe ad of wo ( Theoem 5) by og ( ) we have so we have he foowg es: coespodg o -h compoe fco of moda addo modo a powe ad w( he by some easy cacaos we ca vefy ha fo ) w( ) ; Res 55: The agebac degees of compoe Booea fcos of moda addo modo a powe of wo wh smmads fom a ahmec pogesso wh commo dffeece fo ) og ( VI GENERALIZED PSEUDO-HADAMARD TRANSFORMATIONS Psedo-Hadamad Tasfoms (PHT s) ae sed symmec cypogaphy Fo exampe boc cphe Twofsh PHT s sed hs fom: Le be he p wods ad x y be coespodg op wods The PHT s defed as x y x x y y x y Agebac degee of he secod eao was obaed pevos secos Now we wa o oba he agebac degee of he fs eao Accodg o eao (3) f (x y) (x y) Agebac degees of compoe Booea fcos of 0 (x) y x y ae deved by sbsg 0 he above foma Becase he eas sgfca b of x s zeo ode o fd hese degees ms be eve Maxmm Hammg wegh of opmm soo s acheved va ; 0 s ee I he seqe we sppose ha I hs case Tabe A he peseed agohm s modfed o Fge 6 Regadg Tabe A we have ( ) ( ) ;

10 ad afe smpfcao s obaed as foows: The vae of s aso eqa o ( 3) og ad s sch ha whch eads o Theefoe s chaged o 3 og ( ) ( ) ( ) ( ) 3 Sce 0 so ad ( 3 ) I he case ad we have 3 wh w ( ) ad fo wh w ( ) Ths Hammg wegh of opmm soo s eqa o fo w( Agebac degees of compoe Booea fcos of asfomaos of he fom ) we have 3 whch we ca hem geeazed PHT s ca be deved he same mae We oe ha o defo Accodg o (4) fo compoe Booea fcos of geeazed PHT s we have f ( ) ( ) 0 ( ) ( ) Fge 6

11 Fge 7 Agebac degees of compoe Booea fcos of s obaed fom opmm soos of wh cosas We sppose ha he eqao s smpfed befoe appyg he agohm Sce has A s modfed o Fge 7 So he vae of s obaed as foows whch s smpfed o Sce ( ) ( ) so we have og Theefoe 0 ( whch s smpfed o ad s eqa o ) ( ( zeo bs s eas sgfca posos Tabe ) og ( ) og ) ( ) Ths he maxmm Hammg wegh s eqa o Exampe 6: Cosde he asfomao [( If ( ) / he ) ] ( ) ( ) ( 0 ( ) ; ad fo ) we have w( ) (8)

12 o 4 ) ( 8 Y Y Y Y Z whch s a geeazed PHT We have comped he agebac degees of he compoe Booea fcos of he ops of hs asfomao Fo Y we have ( 30753) Fo Y we have Fo Y 3 we have ad fo Y 4 we have These ess ae compabe wh (8) ( ) ( ); ( 85964) VII CONCLUSION Moda addo modo a powe of wo s oe of he mos appcabe opeaos symmec cypogaphy; heefoe vesgag cypogaphc popees of hs opeao has a sgfca oe desg ad aayss of symmec cphes Agebac popees of moda addo modo a powe of wo have bee sded fo wo opeads by Baee fse 05 Aso he ahos of hs pape have sded hs opeao some speca cases befoe I hs pape ag advaage of pevos eseaches hs aea we geeazed agebac popees of hs opeao fo moe ha wo opeads Moe pecsey we deemed he agebac degee of he compoe Booea fcos of moda addo of abay mbe of smmads modo a powe of wo as a vecoa Booea fco aog wh he mbe of ems ad vaabes hese compoe fcos As a es agebac degees of he compoe Booea fcos of Geeazed Psedo-Hadamad Tasfoms wee dve REFERENCES [] Beoh SIG Specfcao of he Beooh Sysem Veso Febay 00 avaabe a hp://wwwbeoohcom [] RLRves The RC4 ecypo agohm RSA Daa Secy Ic Ma 99 [3] La ad J Massey A poposa fo a ew boc ecypo sadad I I Damg_ad edo Advaces Cypoogy Eocyp'90: Woshop o he Theoy ad Appcao of Cypogaphc Techqes

13 Aahs Dema May 990 Poceedgs vome 473 of LeceNoes Compe Scece pages Spge-Veag 99 [4] J Josso ad B S Kas J RC6 boc cphe Pmve sbmed o NESSIE by RSA Sep 000 [5] B Schee J Kesey D Whg D Wage C Ha N Fegso Twofsh: A 8-B Boc Cphe 998 Avaabe va hp://wwwcoepaecom/wofshhm [6] C Bwc D Coppesmh E D'Avgo R Geao S Haev C Ja SM Mayas J L O'Coo M Peyava D Saffod ad N Zc MARS: a caddae cphe fo AES Peseed he s AES cofeece CA USA Ags 998 [7] A Baee I Semaef The ANF of Composo of Addo ad Mpcao mod wh a Booea Fco FSE 03 LNCS 887 pp Spge-Veag 003 [8] Aeza Rahmpo S M Dehav ad Mehd Aaeya Agebac Popees of Moda Addo Modo Soheas Asa Be of Mahemacs 36:

Suppose we have observed values t 1, t 2, t n of a random variable T.

Suppose we have observed values t 1, t 2, t n of a random variable T. Sppose we have obseved vales, 2, of a adom vaable T. The dsbo of T s ow o belog o a cea ype (e.g., expoeal, omal, ec.) b he veco θ ( θ, θ2, θp ) of ow paamees assocaed wh s ow (whee p s he mbe of ow paamees).

More information

( ) ( ) Weibull Distribution: k ti. u u. Suppose t 1, t 2, t n are times to failure of a group of n mechanisms. The likelihood function is

( ) ( ) Weibull Distribution: k ti. u u. Suppose t 1, t 2, t n are times to failure of a group of n mechanisms. The likelihood function is Webll Dsbo: Des Bce Dep of Mechacal & Idsal Egeeg The Uvesy of Iowa pdf: f () exp Sppose, 2, ae mes o fale of a gop of mechasms. The lelhood fco s L ( ;, ) exp exp MLE: Webll 3//2002 page MLE: Webll 3//2002

More information

APPLICATION OF A Z-TRANSFORMS METHOD FOR INVESTIGATION OF MARKOV G-NETWORKS

APPLICATION OF A Z-TRANSFORMS METHOD FOR INVESTIGATION OF MARKOV G-NETWORKS Joa of Aed Mahema ad Comaoa Meha 4 3( 6-73 APPLCATON OF A Z-TRANSFORMS METHOD FOR NVESTGATON OF MARKOV G-NETWORKS Mha Maay Vo Nameo e of Mahema Ceohowa Uey of Tehoogy Cęohowa Poad Fay of Mahema ad Come

More information

ON TOTAL TIME ON TEST TRANSFORM ORDER ABSTRACT

ON TOTAL TIME ON TEST TRANSFORM ORDER ABSTRACT V M Chacko E CONVE AND INCREASIN CONVE OAL IME ON ES RANSORM ORDER R&A # 4 9 Vol. Decembe ON OAL IME ON ES RANSORM ORDER V. M. Chacko Depame of Sascs S. homas Collee hss eala-68 Emal: chackovm@mal.com

More information

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005.

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005. Techc Appedx fo Iveoy geme fo Assemy Sysem wh Poduc o Compoe eus ecox d Zp geme Scece 2005 Lemm µ µ s c Poof If J d µ > µ he ˆ 0 µ µ µ µ µ µ µ µ Sm gumes essh he esu f µ ˆ > µ > µ > µ o K ˆ If J he so

More information

Chapter 5. Long Waves

Chapter 5. Long Waves ape 5. Lo Waes Wae e s o compaed ae dep: < < L π Fom ea ae eo o s s ; amos ozoa moo z p s ; dosac pesse Dep-aeaed coseao o mass

More information

Chapter 1 - Free Vibration of Multi-Degree-of-Freedom Systems - I

Chapter 1 - Free Vibration of Multi-Degree-of-Freedom Systems - I CEE49b Chaper - Free Vbrao of M-Degree-of-Freedo Syses - I Free Udaped Vbrao The basc ype of respose of -degree-of-freedo syses s free daped vbrao Aaogos o sge degree of freedo syses he aayss of free vbrao

More information

DUALITY IN MULTIPLE CRITERIA AND MULTIPLE CONSTRAINT LEVELS LINEAR PROGRAMMING WITH FUZZY PARAMETERS

DUALITY IN MULTIPLE CRITERIA AND MULTIPLE CONSTRAINT LEVELS LINEAR PROGRAMMING WITH FUZZY PARAMETERS Ida Joual of Fudameal ad ppled Lfe Sceces ISSN: 223 6345 (Ole) Ope ccess, Ole Ieaoal Joual valable a www.cbech.o/sp.ed/ls/205/0/ls.hm 205 Vol.5 (S), pp. 447-454/Noua e al. Reseach cle DULITY IN MULTIPLE

More information

On Probability Density Function of the Quotient of Generalized Order Statistics from the Weibull Distribution

On Probability Density Function of the Quotient of Generalized Order Statistics from the Weibull Distribution ISSN 684-843 Joua of Sac Voue 5 8 pp. 7-5 O Pobaby Dey Fuco of he Quoe of Geeaed Ode Sac fo he Webu Dbuo Abac The pobaby dey fuco of Muhaad Aee X k Y k Z whee k X ad Y k ae h ad h geeaed ode ac fo Webu

More information

Shrinkage Estimators for Reliability Function. Mohammad Qabaha

Shrinkage Estimators for Reliability Function. Mohammad Qabaha A - Najah Uv. J. es. (N. Sc.) Vol. 7 3 Shkage Esmaos fo elably Fuco مقدرات التقلص لدالة الفاعلية ohammad Qabaha محمد قبها Depame of ahemacs Faculy of Scece A-Najah Naoal Uvesy alese E-mal: mohqabha@mal.ajah.edu

More information

Maximum likelihood estimate of phylogeny. BIOL 495S/ CS 490B/ MATH 490B/ STAT 490B Introduction to Bioinformatics April 24, 2002

Maximum likelihood estimate of phylogeny. BIOL 495S/ CS 490B/ MATH 490B/ STAT 490B Introduction to Bioinformatics April 24, 2002 Mmm lkelhood eme of phylogey BIO 9S/ S 90B/ MH 90B/ S 90B Iodco o Bofomc pl 00 Ovevew of he pobblc ppoch o phylogey o k ee ccodg o he lkelhood d ee whee d e e of eqece d ee by ee wh leve fo he eqece. he

More information

( m is the length of columns of A ) spanned by the columns of A : . Select those columns of B that contain a pivot; say those are Bi

( m is the length of columns of A ) spanned by the columns of A : . Select those columns of B that contain a pivot; say those are Bi Assgmet /MATH 47/Wte Due: Thusday Jauay The poblems to solve ae umbeed [] to [] below Fst some explaatoy otes Fdg a bass of the colum-space of a max ad povg that the colum ak (dmeso of the colum space)

More information

I-POLYA PROCESS AND APPLICATIONS Leda D. Minkova

I-POLYA PROCESS AND APPLICATIONS Leda D. Minkova The XIII Inenaonal Confeence Appled Sochasc Models and Daa Analyss (ASMDA-009) Jne 30-Jly 3, 009, Vlns, LITHUANIA ISBN 978-9955-8-463-5 L Sakalaskas, C Skadas and E K Zavadskas (Eds): ASMDA-009 Seleced

More information

SECURITY EVALUATION FOR SNOW 2.0-LIKE STREAM CIPHERS AGAINST CORRELATION ATTACKS OVER EXTENSION FIELDS

SECURITY EVALUATION FOR SNOW 2.0-LIKE STREAM CIPHERS AGAINST CORRELATION ATTACKS OVER EXTENSION FIELDS SECURIY EVALUAION FOR SNOW.-LIKE SREAM CIPHERS AGAINS CORRELAION AACKS OVER EXENSION FIELDS A. N. Alekseychk * S. M. Koshok ** M. V. Poemsky *** Ise of Secal Commcao ad Ifomao Secy Naoal echcal Uvesy of

More information

Permutations that Decompose in Cycles of Length 2 and are Given by Monomials

Permutations that Decompose in Cycles of Length 2 and are Given by Monomials Poceedgs of The Natoa Cofeece O Udegaduate Reseach (NCUR) 00 The Uvesty of Noth Caoa at Asheve Asheve, Noth Caoa Ap -, 00 Pemutatos that Decompose Cyces of Legth ad ae Gve y Moomas Lous J Cuz Depatmet

More information

Exponential Synchronization of the Hopfield Neural Networks with New Chaotic Strange Attractor

Exponential Synchronization of the Hopfield Neural Networks with New Chaotic Strange Attractor ITM Web of Cofeeces, 0509 (07) DOI: 0.05/ mcof/070509 ITA 07 Expoeal Sychozao of he Hopfeld Neual Newos wh New Chaoc Sage Aaco Zha-J GUI, Ka-Hua WANG* Depame of Sofwae Egeeg, Haa College of Sofwae Techology,qogha,

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

The Nehari Manifold for a Class of Elliptic Equations of P-laplacian Type. S. Khademloo and H. Mohammadnia. afrouzi

The Nehari Manifold for a Class of Elliptic Equations of P-laplacian Type. S. Khademloo and H. Mohammadnia. afrouzi Wold Alied cieces Joal (8): 898-95 IN 88-495 IDOI Pblicaios = h x g x x = x N i W whee is a eal aamee is a boded domai wih smooh boday i R N 3 ad< < INTRODUCTION Whee s ha is s = I his ae we ove he exisece

More information

Parameter Estimation and Hypothesis Testing of Two Negative Binomial Distribution Population with Missing Data

Parameter Estimation and Hypothesis Testing of Two Negative Binomial Distribution Population with Missing Data Avlble ole wwwsceceeccom Physcs Poce 0 475 480 0 Ieol Cofeece o Mecl Physcs Bomecl ee Pmee smo Hyohess es of wo Neve Boml Dsbuo Poulo wh Mss D Zhwe Zho Collee of MhemcsJl Noml UvesyS Ch zhozhwe@6com Absc

More information

Final Exam Applied Econometrics

Final Exam Applied Econometrics Fal Eam Appled Ecoomercs. 0 Sppose we have he followg regresso resl: Depede Varable: SAT Sample: 437 Iclded observaos: 437 Whe heeroskedasc-cosse sadard errors & covarace Varable Coeffce Sd. Error -Sasc

More information

Increasing the Image Quality of Atomic Force Microscope by Using Improved Double Tapered Micro Cantilever

Increasing the Image Quality of Atomic Force Microscope by Using Improved Double Tapered Micro Cantilever Rece Reseaces Teecocaos foacs Eecocs a Sga Pocessg ceasg e age Qa of oc Foce Mcope Usg pove oe Tapee Mco aeve Saeg epae of Mecaca Egeeg aava Bac sac za Uves aava Tea a a_saeg@aavaa.ac. sac: Te esoa feqec

More information

ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER 2

ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER 2 Joh Rley Novembe ANSWERS O ODD NUMBERED EXERCISES IN CHAPER Seo Eese -: asvy (a) Se y ad y z follows fom asvy ha z Ehe z o z We suppose he lae ad seek a oado he z Se y follows by asvy ha z y Bu hs oads

More information

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( )

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( ) 5-1. We apply Newon s second law (specfcally, Eq. 5-). (a) We fnd he componen of he foce s ( ) ( ) F = ma = ma cos 0.0 = 1.00kg.00m/s cos 0.0 = 1.88N. (b) The y componen of he foce s ( ) ( ) F = ma = ma

More information

On the Quasi-Hyperbolic Kac-Moody Algebra QHA7 (2)

On the Quasi-Hyperbolic Kac-Moody Algebra QHA7 (2) Ieaoal Reeach Joual of Egeeg ad Techology (IRJET) e-issn: 9 - Volume: Iue: May- www.e.e -ISSN: 9-7 O he Qua-Hyebolc Kac-Moody lgeba QH7 () Uma Mahewa., Khave. S Deame of Mahemac Quad-E-Mllah Goveme College

More information

On the hydrogen wave function in Momentum-space, Clifford algebra and the Generating function of Gegenbauer polynomial

On the hydrogen wave function in Momentum-space, Clifford algebra and the Generating function of Gegenbauer polynomial O he hoge we fco Moe-sce ffo geb he eeg fco of egebe oo Meh Hge Hss To ce hs eso: Meh Hge Hss O he hoge we fco Moe-sce ffo geb he eeg fco of egebe oo 8 HL I: h- hs://hches-oeesf/h- Sbe o J 8 HL s

More information

Fakultas Matematika dan Ilmu Pengetahuan Alam, Institut Teknologi Bandung, Bandung, 40132, Indonesia *

Fakultas Matematika dan Ilmu Pengetahuan Alam, Institut Teknologi Bandung, Bandung, 40132, Indonesia * MacWllams Equvalece Theoem fo he Lee Wegh ove Z 4 leams Baa * Fakulas Maemaka da Ilmu Pegeahua lam, Isu Tekolog Badug, Badug, 403, Idoesa * oesodg uho: baa@mahbacd BSTRT Fo codes ove felds, he MacWllams

More information

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9 OH BOY! O h Boy!, was or igin a lly cr eat ed in F r en ch an d was a m a jor s u cc ess on t h e Fr en ch st a ge f or young au di enc es. It h a s b een s een by ap pr ox i ma t ely 175,000 sp ect at

More information

The Stability of High Order Max-Type Difference Equation

The Stability of High Order Max-Type Difference Equation Aled ad Comuaoal Maemacs 6; 5(): 5-55 ://wwwsceceulsggoucom/j/acm do: 648/jacm653 ISSN: 38-565 (P); ISSN: 38-563 (Ole) Te Saly of g Ode Ma-Tye Dffeece Equao a Ca-og * L Lue Ta Xue Scool of Maemacs ad Sascs

More information

Fairing of Parametric Quintic Splines

Fairing of Parametric Quintic Splines ISSN 46-69 Eglad UK Joual of Ifomato ad omputg Scece Vol No 6 pp -8 Fag of Paametc Qutc Sples Yuau Wag Shagha Isttute of Spots Shagha 48 ha School of Mathematcal Scece Fuda Uvesty Shagha 4 ha { P t )}

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

Professor Wei Zhu. 1. Sampling from the Normal Population

Professor Wei Zhu. 1. Sampling from the Normal Population AMS570 Pofesso We Zhu. Samplg fom the Nomal Populato *Example: We wsh to estmate the dstbuto of heghts of adult US male. It s beleved that the heght of adult US male follows a omal dstbuto N(, ) Def. Smple

More information

Reliability Equivalence of a Parallel System with Non-Identical Components

Reliability Equivalence of a Parallel System with Non-Identical Components Ieraoa Mahemaca Forum 3 8 o. 34 693-7 Reaby Equvaece of a Parae Syem wh No-Ideca ompoe M. Moaer ad mmar M. Sarha Deparme of Sac & O.R. oege of Scece Kg Saud Uvery P.O.ox 455 Ryadh 45 Saud raba aarha@yahoo.com

More information

= y and Normed Linear Spaces

= y and Normed Linear Spaces 304-50 LINER SYSTEMS Lectue 8: Solutos to = ad Nomed Lea Spaces 73 Fdg N To fd N, we eed to chaacteze all solutos to = 0 Recall that ow opeatos peseve N, so that = 0 = 0 We ca solve = 0 ecusvel backwads

More information

The sphere of radius a has the geographical form. r (,)=(acoscos,acossin,asin) T =(p(u)cos v, p(u)sin v,q(u) ) T.

The sphere of radius a has the geographical form. r (,)=(acoscos,acossin,asin) T =(p(u)cos v, p(u)sin v,q(u) ) T. Che 5. Dieeil Geome o Sces 5. Sce i meic om I 3D sce c be eeseed b. Elici om z =. Imlici om z = 3. Veco om = o moe geel =z deedig o wo mees. Emle. he shee o dis hs he geoghicl om =coscoscossisi Emle. he

More information

Lagrangian & Hamiltonian Mechanics:

Lagrangian & Hamiltonian Mechanics: XII AGRANGIAN & HAMITONIAN DYNAMICS Iouco Hamlo aaoal Pcple Geealze Cooaes Geealze Foces agaga s Euao Geealze Momea Foces of Cosa, agage Mulples Hamloa Fucos, Cosevao aws Hamloa Dyamcs: Hamlo s Euaos agaga

More information

Lecture 3 summary. C4 Lecture 3 - Jim Libby 1

Lecture 3 summary. C4 Lecture 3 - Jim Libby 1 Lecue su Fes of efeece Ivce ude sfoos oo of H wve fuco: d-fucos Eple: e e - µ µ - Agul oeu s oo geeo Eule gles Geec slos cosevo lws d Noehe s heoe C4 Lecue - Lbb Fes of efeece Cosde fe of efeece O whch

More information

such that for 1 From the definition of the k-fibonacci numbers, the firsts of them are presented in Table 1. Table 1: First k-fibonacci numbers F 1

such that for 1 From the definition of the k-fibonacci numbers, the firsts of them are presented in Table 1. Table 1: First k-fibonacci numbers F 1 Scholas Joual of Egeeg ad Techology (SJET) Sch. J. Eg. Tech. 0; (C):669-67 Scholas Academc ad Scetfc Publshe (A Iteatoal Publshe fo Academc ad Scetfc Resouces) www.saspublshe.com ISSN -X (Ole) ISSN 7-9

More information

CONTROL ROUTH ARRAY AND ITS APPLICATIONS

CONTROL ROUTH ARRAY AND ITS APPLICATIONS 3 Asa Joual of Cool, Vol 5, No, pp 3-4, Mach 3 CONTROL ROUTH ARRAY AND ITS APPLICATIONS Dazha Cheg ad TJTa Bef Pape ABSTRACT I hs pape he Rouh sably ceo [6] has bee developed o cool Rouh aay Soe foulas

More information

Extended TOPSISs for Belief Group Decision Making

Extended TOPSISs for Belief Group Decision Making J. Sev. Sc. & Maageme. 2008, : -20 Publshed Ole Jue 2008 ScRes (www.srpublshg.og/oual/ssm) Exeded TOPSISs fo Belef Goup Decso Makg hao Fu School of Maageme, Hefe Uvesy of Techology, Hefe 230009, ha ABSTRAT

More information

(1) Cov(, ) E[( E( ))( E( ))]

(1) Cov(, ) E[( E( ))( E( ))] Impac of Auocorrelao o OLS Esmaes ECON 3033/Evas Cosder a smple bvarae me-seres model of he form: y 0 x The four key assumpos abou ε hs model are ) E(ε ) = E[ε x ]=0 ) Var(ε ) =Var(ε x ) = ) Cov(ε, ε )

More information

MULTI-OBJECTIVE GEOMETRIC PROGRAMMING PROBLEM AND ITS APPLICATIONS

MULTI-OBJECTIVE GEOMETRIC PROGRAMMING PROBLEM AND ITS APPLICATIONS Yugoslav Joual of Opeaos Reseach Volume (), Numbe, -7 DOI:.98/YJORI MULTI-OBJECTIVE GEOMETRIC PROGRAMMING PROBLEM AND ITS APPLICATIONS Sahdul ISLAM Depame of Mahemacs, Guskaa Mahavdyalaya, Guskaa, Budwa

More information

EMA5001 Lecture 3 Steady State & Nonsteady State Diffusion - Fick s 2 nd Law & Solutions

EMA5001 Lecture 3 Steady State & Nonsteady State Diffusion - Fick s 2 nd Law & Solutions EMA5 Lecue 3 Seady Sae & Noseady Sae ffuso - Fck s d Law & Soluos EMA 5 Physcal Popees of Maeals Zhe heg (6) 3 Noseady Sae ff Fck s d Law Seady-Sae ffuso Seady Sae Seady Sae = Equlbum? No! Smlay: Sae fuco

More information

On EPr Bimatrices II. ON EP BIMATRICES A1 A Hence x. is said to be EP if it satisfies the condition ABx

On EPr Bimatrices II. ON EP BIMATRICES A1 A Hence x. is said to be EP if it satisfies the condition ABx Iteatoal Joual of Mathematcs ad Statstcs Iveto (IJMSI) E-ISSN: 3 4767 P-ISSN: 3-4759 www.jms.og Volume Issue 5 May. 4 PP-44-5 O EP matces.ramesh, N.baas ssocate Pofesso of Mathematcs, ovt. ts College(utoomous),Kumbakoam.

More information

Generalisation on the Zeros of a Family of Complex Polynomials

Generalisation on the Zeros of a Family of Complex Polynomials Ieol Joul of hemcs esech. ISSN 976-584 Volume 6 Numbe 4. 93-97 Ieol esech Publco House h://www.house.com Geelso o he Zeos of Fmly of Comlex Polyomls Aee sgh Neh d S.K.Shu Deme of hemcs Lgys Uvesy Fdbd-

More information

Comparing Different Estimators for Parameters of Kumaraswamy Distribution

Comparing Different Estimators for Parameters of Kumaraswamy Distribution Compaig Diffee Esimaos fo Paamees of Kumaaswamy Disibuio ا.م.د نذير عباس ابراهيم الشمري جامعة النهرين/بغداد-العراق أ.م.د نشات جاسم محمد الجامعة التقنية الوسطى/بغداد- العراق Absac: This pape deals wih compaig

More information

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters Leas Squares Fg LSQF wh a complcaed fuco Theeampleswehavelookedasofarhavebeelearheparameers ha we have bee rg o deerme e.g. slope, ercep. For he case where he fuco s lear he parameers we ca fd a aalc soluo

More information

International Journal of Scientific & Engineering Research, Volume 7, Issue 5, May-2016 ISSN The Maximum Eccentricity Energy of a Graph

International Journal of Scientific & Engineering Research, Volume 7, Issue 5, May-2016 ISSN The Maximum Eccentricity Energy of a Graph Iaoa Joa of cfc & Egg Rsach Vom 7 Iss 5 ay6 IN 955 5 Th axmm Ecccy Egy of a Gaph Ahmd Na ad N D o Absac I Ths pap w odc h cocp of a maxmm cccy max oba som coffcs of h chaacsc poyoma of a cocd gaph G ad

More information

Generalized Entropy of Kumaraswamy Distribution Based on Order Statistics

Generalized Entropy of Kumaraswamy Distribution Based on Order Statistics Geeaed Eop o Kumaawam Dbuo Baed o Ode Sac Ra Na M.A.K Bag 2 Javd Ga Da 3 Reeach Schoa Depame o Sac Uve o Kahm Saga Ida 2 Aocae Poeo Depame o Sac Uve o Kahm Saga Ida 3 Depame o Mahemac Iamc Uve o Scece

More information

Optimality of Distributed Control for n n Hyperbolic Systems with an Infinite Number of Variables

Optimality of Distributed Control for n n Hyperbolic Systems with an Infinite Number of Variables Advaces Pure Mahemacs 3 3 598-68 hp://dxdoorg/436/apm33677 Pubshed Oe Sepember 3 (hp://wwwscrporg/joura/apm) Opmay of Dsrbued Coro for Hyperboc Sysems wh a Ife Number of Varabes Aham Hasa amo Deparme of

More information

XII. Addition of many identical spins

XII. Addition of many identical spins XII. Addto of may detcal sps XII.. ymmetc goup ymmetc goup s the goup of all possble pemutatos of obects. I total! elemets cludg detty opeato. Each pemutato s a poduct of a ceta fte umbe of pawse taspostos.

More information

ON THE EXTENSION OF WEAK ARMENDARIZ RINGS RELATIVE TO A MONOID

ON THE EXTENSION OF WEAK ARMENDARIZ RINGS RELATIVE TO A MONOID wwweo/voue/vo9iue/ijas_9 9f ON THE EXTENSION OF WEAK AENDAIZ INGS ELATIVE TO A ONOID Eye A & Ayou Eoy Dee of e Nowe No Uvey Lzou 77 C Dee of e Uvey of Kou Ou Su E-: eye76@o; you975@yooo ABSTACT Fo oo we

More information

Optimization of Shipborne Equipment System Reliability Based on Artificial Immune PSO Algorithm

Optimization of Shipborne Equipment System Reliability Based on Artificial Immune PSO Algorithm Joal of Physcs: Cofeece Sees PAPER OPEN ACCESS Opmzao of Shpboe Eqpme Sysem Relably Based o Afcal Imme PSO Algom To ce s acle: Sog-sh Shao ad M-zh Ra 8 J. Phys.: Cof. Se. 87 7 Ve e acle ole fo pdaes ad

More information

Existence of Nonoscillatory Solutions for a Class of N-order Neutral Differential Systems

Existence of Nonoscillatory Solutions for a Class of N-order Neutral Differential Systems Vo 3 No Mod Appd Scc Exsc of Nooscaoy Souos fo a Cass of N-od Nua Dffa Sysms Zhb Ch & Apg Zhag Dpam of Ifomao Egg Hua Uvsy of Tchoogy Hua 4 Cha E-ma: chzhbb@63com Th sach s facd by Hua Povc aua sccs fud

More information

Statistical Analysis of Flood Peak data of North Brahmaputra Region of India based on the methods of TL-moment

Statistical Analysis of Flood Peak data of North Brahmaputra Region of India based on the methods of TL-moment Sascal Aalyss of Flood Pea daa of Noh Bahmapa Rego of Ida based o he mehods of TL-mome Sobh Dea & Mda Boah Absac: TL-mome mehod has bee sed a aalyss o deeme he bes fg dsbo o seam flow gagg ses of he Noh

More information

A Modeling Method of SISO Discrete-Event Systems in Max Algebra

A Modeling Method of SISO Discrete-Event Systems in Max Algebra A Modelg Mehod of SISO Dscee-Eve Syses Max Algeba Jea-Lous Bood, Laue Hadou, P. Cho To ce hs veso: Jea-Lous Bood, Laue Hadou, P. Cho. A Modelg Mehod of SISO Dscee-Eve Syses Max Algeba. Euopea Cool Cofeece

More information

T T V e g em D e j ) a S D } a o "m ek j g ed b m "d mq m [ d, )

T T V e g em D e j ) a S D } a o m ek j g ed b m d mq m [ d, ) . ) 6 3 ; 6 ;, G E E W T S W X D ^ L J R Y [ _ ` E ) '" " " -, 7 4-4 4-4 ; ; 7 4 4 4 4 4 ;= : " B C CA BA " ) 3D H E V U T T V e g em D e j ) a S D } a o "m ek j g ed b m "d mq m [ d, ) W X 6 G.. 6 [ X

More information

Council for Innovative Research

Council for Innovative Research Geometc-athmetc Idex ad Zageb Idces of Ceta Specal Molecula Gaphs efe X, e Gao School of Tousm ad Geogaphc Sceces, Yua Nomal Uesty Kumg 650500, Cha School of Ifomato Scece ad Techology, Yua Nomal Uesty

More information

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL UPB Sc B See A Vo 72 I 3 2 ISSN 223-727 MUTIPE -HYBRID APACE TRANSORM AND APPICATIONS TO MUTIDIMENSIONA HYBRID SYSTEMS PART II: DETERMININ THE ORIINA Ve PREPEIŢĂ Te VASIACHE 2 Ace co copeeă oă - pce he

More information

- 1 - Processing An Opinion Poll Using Fuzzy Techniques

- 1 - Processing An Opinion Poll Using Fuzzy Techniques - - Pocessg A Oo Poll Usg Fuzzy Techues by Da Peu Vaslu ABSTRACT: I hs ae we deal wh a mul cea akg oblem, based o fuzzy u daa : he uose s o comae he effec of dffee mecs defed o he sace of fuzzy umbes o

More information

EXTINCTION IN NONAUTONOMOUS COMPETITIVE LOTKA-VOLTERRA SYSTEMS

EXTINCTION IN NONAUTONOMOUS COMPETITIVE LOTKA-VOLTERRA SYSTEMS PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Vome 124, Nmber 12, December 1996, Pages 3677 3687 S 0002-993996)03355-2 EXTINCTION IN NONAUTONOMOUS COMPETITIVE LOTKA-VOLTERRA SYSTEMS FRANCISCO MONTES

More information

CHATTERJEA CONTRACTION MAPPING THEOREM IN CONE HEPTAGONAL METRIC SPACE

CHATTERJEA CONTRACTION MAPPING THEOREM IN CONE HEPTAGONAL METRIC SPACE Fameal Joal of Mahemaic a Mahemaical Sciece Vol. 7 Ie 07 Page 5- Thi pape i aailable olie a hp://.fi.com/ Pblihe olie Jaa 0 07 CHATTERJEA CONTRACTION MAPPING THEOREM IN CONE HEPTAGONAL METRIC SPACE Caolo

More information

Two kinds of B-basis of the algebraic hyperbolic space *

Two kinds of B-basis of the algebraic hyperbolic space * 75 L e al. / J Zhejag Uv SCI 25 6A(7):75-759 Joual of Zhejag Uvesy SCIECE ISS 9-395 h://www.zju.edu.c/jzus E-al: jzus@zju.edu.c Two ds of B-bass of he algebac hyebolc sace * LI Ya-jua ( 李亚娟 ) WAG Guo-zhao

More information

4.1 Schrödinger Equation in Spherical Coordinates

4.1 Schrödinger Equation in Spherical Coordinates Phs 34 Quu Mehs D 9 9 Mo./ Wed./ Thus /3 F./4 Mo., /7 Tues. / Wed., /9 F., /3 4.. -. Shodge Sphe: Sepo & gu (Q9.) 4..-.3 Shodge Sphe: gu & d(q9.) Copuo: Sphe Shodge s 4. Hdoge o (Q9.) 4.3 gu Moeu 4.4.-.

More information

dm dt = 1 V The number of moles in any volume is M = CV, where C = concentration in M/L V = liters. dcv v

dm dt = 1 V The number of moles in any volume is M = CV, where C = concentration in M/L V = liters. dcv v Mg: Pcess Aalyss: Reac ae s defed as whee eac ae elcy lue M les ( ccea) e. dm he ube f les ay lue s M, whee ccea M/L les. he he eac ae beces f a hgeeus eac, ( ) d Usually s csa aqueus eeal pcesses eac,

More information

A VECTOR SMALL-GAIN THEOREM FOR GENERAL NONLINEAR CONTROL SYSTEMS

A VECTOR SMALL-GAIN THEOREM FOR GENERAL NONLINEAR CONTROL SYSTEMS A VECTOR SMALL-GAIN THEOREM FOR GENERAL NONLINEAR CONTROL SYSTEMS Iao Kaafyll ad Zhog-Pg Jag Depame of Evomeal Egeeg Techcal Uvey of Cee 73 Chaa Geece emal: aafyl@evegcg Depame of Eleccal ad Compe Egeeg

More information

MATHS FOR ENGINEERS ALGEBRA TUTORIAL 8 MATHEMATICAL PROGRESSIONS AND SERIES

MATHS FOR ENGINEERS ALGEBRA TUTORIAL 8 MATHEMATICAL PROGRESSIONS AND SERIES MATHS FOR ENGINEERS ALGEBRA TUTORIAL 8 MATHEMATICAL PROGRESSIONS AND SERIES O completio of this ttoial yo shold be able to do the followig. Eplai aithmetical ad geometic pogessios. Eplai factoial otatio

More information

Solution to Some Open Problems on E-super Vertex Magic Total Labeling of Graphs

Solution to Some Open Problems on E-super Vertex Magic Total Labeling of Graphs Aalable a hp://paed/aa Appl Appl Mah ISS: 9-9466 Vol 0 Isse (Deceber 0) pp 04- Applcaos ad Appled Maheacs: A Ieraoal Joral (AAM) Solo o Soe Ope Probles o E-sper Verex Magc Toal Labelg o Graphs G Marh MS

More information

336 ERIDANI kfk Lp = sup jf(y) ; f () jj j p p whee he supemum is aken ove all open balls = (a ) inr n, jj is he Lebesgue measue of in R n, () =(), f

336 ERIDANI kfk Lp = sup jf(y) ; f () jj j p p whee he supemum is aken ove all open balls = (a ) inr n, jj is he Lebesgue measue of in R n, () =(), f TAMKANG JOURNAL OF MATHEMATIS Volume 33, Numbe 4, Wine 2002 ON THE OUNDEDNESS OF A GENERALIED FRATIONAL INTEGRAL ON GENERALIED MORREY SPAES ERIDANI Absac. In his pape we exend Nakai's esul on he boundedness

More information

14. Poisson Processes

14. Poisson Processes 4. Posso Processes I Lecure 4 we roduced Posso arrvals as he lmg behavor of Bomal radom varables. Refer o Posso approxmao of Bomal radom varables. From he dscusso here see 4-6-4-8 Lecure 4 " arrvals occur

More information

7 Wave Equation in Higher Dimensions

7 Wave Equation in Higher Dimensions 7 Wave Equaion in Highe Dimensions We now conside he iniial-value poblem fo he wave equaion in n dimensions, u c u x R n u(x, φ(x u (x, ψ(x whee u n i u x i x i. (7. 7. Mehod of Spheical Means Ref: Evans,

More information

Some Probability Inequalities for Quadratic Forms of Negatively Dependent Subgaussian Random Variables

Some Probability Inequalities for Quadratic Forms of Negatively Dependent Subgaussian Random Variables Joural of Sceces Islamc epublc of Ira 6(: 63-67 (005 Uvers of ehra ISSN 06-04 hp://scecesuacr Some Probabl Iequales for Quadrac Forms of Negavel Depede Subgaussa adom Varables M Am A ozorga ad H Zare 3

More information

Chapter Finite Difference Method for Ordinary Differential Equations

Chapter Finite Difference Method for Ordinary Differential Equations Chape 8.7 Finie Diffeence Mehod fo Odinay Diffeenial Eqaions Afe eading his chape, yo shold be able o. Undesand wha he finie diffeence mehod is and how o se i o solve poblems. Wha is he finie diffeence

More information

The Solutions of Initial Value Problems for Nonlinear Fourth-Order Impulsive Integro-Differential Equations in Banach Spaces

The Solutions of Initial Value Problems for Nonlinear Fourth-Order Impulsive Integro-Differential Equations in Banach Spaces WSEAS TRANSACTIONS o MATHEMATICS Zhag Lglg Y Jgy Lu Juguo The Soluos of Ial Value Pobles fo Nolea Fouh-Ode Ipulsve Iego-Dffeeal Equaos Baach Spaces Zhag Lglg Y Jgy Lu Juguo Depae of aheacs of Ta Yua Uvesy

More information

Chapter Eight Notes N P U1C8S4-6

Chapter Eight Notes N P U1C8S4-6 Chapte Eight Notes N P UC8S-6 Name Peiod Section 8.: Tigonometic Identities An identit is, b definition, an equation that is alwas tue thoughout its domain. B tue thoughout its domain, that is to sa that

More information

PHYS 705: Classical Mechanics. Central Force Problems II

PHYS 705: Classical Mechanics. Central Force Problems II PHYS 75: Cassica Mechanics Centa Foce Pobems II Obits in Centa Foce Pobem Sppose we e inteested moe in the shape of the obit, (not necessay the time evotion) Then, a sotion fo = () o = () wod be moe sef!

More information

CptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1

CptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1 ps 57 Machne Leann School of EES Washnon Sae Unves ps 57 - Machne Leann Assume nsances of classes ae lneal sepaable Esmae paamees of lnea dscmnan If ( - -) > hen + Else - ps 57 - Machne Leann lassfcaon

More information

A New Approach to Probabilistic Load Flow

A New Approach to Probabilistic Load Flow INDIAN INSTITUTE OF TECHNOLOGY, KHARAGPUR 73, DECEMBER 79, 837 A New Appoach o Pobablsc Load Flow T K Basu, R B Msa ad Puob Paoway Absac: Ths pape descbes a ew appoach o modellg of asmsso le uceaes usg

More information

Key words: Fractional difference equation, oscillatory solutions,

Key words: Fractional difference equation, oscillatory solutions, OSCILLATION PROPERTIES OF SOLUTIONS OF FRACTIONAL DIFFERENCE EQUATIONS Musafa BAYRAM * ad Ayd SECER * Deparme of Compuer Egeerg, Isabul Gelsm Uversy Deparme of Mahemacal Egeerg, Yldz Techcal Uversy * Correspodg

More information

NUMERICAL EVALUATION of DYNAMIC RESPONSE

NUMERICAL EVALUATION of DYNAMIC RESPONSE NUMERICAL EVALUATION of YNAMIC RESPONSE Aalycal solo of he eqao of oo for a sgle degree of freedo syse s sally o ossble f he excao aled force or grod accelerao ü g -vares arbrarly h e or f he syse s olear.

More information

One of the common descriptions of curvilinear motion uses path variables, which are measurements made along the tangent t and normal n to the path of

One of the common descriptions of curvilinear motion uses path variables, which are measurements made along the tangent t and normal n to the path of Oe of he commo descipios of cuilie moio uses ph ibles, which e mesuemes mde log he ge d oml o he ph of he picles. d e wo ohogol xes cosideed sepely fo eey is of moio. These coodies poide ul descipio fo

More information

Consumer theory. A. The preference ordering B. The feasible set C. The consumption decision. A. The preference ordering. Consumption bundle

Consumer theory. A. The preference ordering B. The feasible set C. The consumption decision. A. The preference ordering. Consumption bundle Thomas Soesso Mcoecoomcs Lecte Cosme theoy A. The efeece odeg B. The feasble set C. The cosmto decso A. The efeece odeg Cosmto bdle x ( 2 x, x,... x ) x Assmtos: Comleteess 2 Tastvty 3 Reflexvty 4 No-satato

More information

Images of Linear Block Codes over Fq ufq vfq uvfq

Images of Linear Block Codes over Fq ufq vfq uvfq Oe Joua of ed Sceces, 03, 3, 7-3 do:036/oas033006 Pubshed Oe 03 (htt://wwwscog/oua/oas) Iages of Lea oc Codes ove u v uv Jae D Paaco, Vgo P Sso Isttute of Matheatca Sceces ad Physcs, Uvesty of the Phes

More information

ENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 9 Solutions [Theorems of Gauss and Stokes]

ENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 9 Solutions [Theorems of Gauss and Stokes] ENGI 44 Avance alculus fo Engineeing Faculy of Engineeing an Applie cience Poblem e 9 oluions [Theoems of Gauss an okes]. A fla aea A is boune by he iangle whose veices ae he poins P(,, ), Q(,, ) an R(,,

More information

An Improvement on Disc Separation of the Schur Complement and Bounds for Determinants of Diagonally Dominant Matrices

An Improvement on Disc Separation of the Schur Complement and Bounds for Determinants of Diagonally Dominant Matrices ISSN 746-7659, Egd, UK Jor of Iformo d Compg See Vo. 5, No. 3, 2, pp. 224-232 A Improveme o Ds Sepro of he Shr Compeme d Bods for Deerms of Dgoy Dom Mres Zhohog Hg, Tgzh Hg Shoo of Mhem Sees, Uversy of

More information

STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE WEIBULL DISTRIBUTION

STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE WEIBULL DISTRIBUTION Inenaional Jounal of Science, Technology & Managemen Volume No 04, Special Issue No. 0, Mach 205 ISSN (online): 2394-537 STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE

More information

DYNAMICAL NEAR OPTIMAL TRAINING FOR INTERVAL TYPE-2 FUZZY NEURAL NETWORK (T2FNN) WITH GENETIC ALGORITHM

DYNAMICAL NEAR OPTIMAL TRAINING FOR INTERVAL TYPE-2 FUZZY NEURAL NETWORK (T2FNN) WITH GENETIC ALGORITHM DYNAICAL NAR OPIAL RAINING FOR INRVAL YP- FUZZY NURAL NWORK FNN WIH GNIC ALGORIH A hess Submed Fume o he Requemes o he Degee o ase o Phosoph B a Chu-Sheg Cheg Schoo o coeecoc geeg Fau o geeg ad Iomao echoog

More information

ELEC 6041 LECTURE NOTES WEEK 3 Dr. Amir G. Aghdam Concordia University

ELEC 6041 LECTURE NOTES WEEK 3 Dr. Amir G. Aghdam Concordia University ecre Noe Prepared b r G. ghda EE 64 ETUE NTE WEE r. r G. ghda ocorda Uer eceraled orol e - Whe corol heor appled o a e ha co of geographcall eparaed copoe or a e cog of a large ber of p-op ao ofe dered

More information

RECAPITULATION & CONDITIONAL PROBABILITY. Number of favourable events n E Total number of elementary events n S

RECAPITULATION & CONDITIONAL PROBABILITY. Number of favourable events n E Total number of elementary events n S Fomulae Fo u Pobablty By OP Gupta [Ida Awad We, +91-9650 350 480] Impotat Tems, Deftos & Fomulae 01 Bascs Of Pobablty: Let S ad E be the sample space ad a evet a expemet espectvely Numbe of favouable evets

More information

Solution to HW 3, Ma 1a Fall 2016

Solution to HW 3, Ma 1a Fall 2016 Solution to HW 3, Ma a Fall 206 Section 2. Execise 2: Let C be a subset of the eal numbes consisting of those eal numbes x having the popety that evey digit in the decimal expansion of x is, 3, 5, o 7.

More information

The shortest path between two truths in the real domain passes through the complex domain. J. Hadamard

The shortest path between two truths in the real domain passes through the complex domain. J. Hadamard Complex Analysis R.G. Halbud R.Halbud@ucl.ac.uk Depamen of Mahemaics Univesiy College London 202 The shoes pah beween wo uhs in he eal domain passes hough he complex domain. J. Hadamad Chape The fis fundamenal

More information

New problems in universal algebraic geometry illustrated by boolean equations

New problems in universal algebraic geometry illustrated by boolean equations New poblems in univesal algebaic geomety illustated by boolean equations axiv:1611.00152v2 [math.ra] 25 Nov 2016 Atem N. Shevlyakov Novembe 28, 2016 Abstact We discuss new poblems in univesal algebaic

More information

Chapter 3: Vectors and Two-Dimensional Motion

Chapter 3: Vectors and Two-Dimensional Motion Chape 3: Vecos and Two-Dmensonal Moon Vecos: magnude and decon Negae o a eco: eese s decon Mulplng o ddng a eco b a scala Vecos n he same decon (eaed lke numbes) Geneal Veco Addon: Tangle mehod o addon

More information

Calculus 241, section 12.2 Limits/Continuity & 12.3 Derivatives/Integrals notes by Tim Pilachowski r r r =, with a domain of real ( )

Calculus 241, section 12.2 Limits/Continuity & 12.3 Derivatives/Integrals notes by Tim Pilachowski r r r =, with a domain of real ( ) Clculu 4, econ Lm/Connuy & Devve/Inel noe y Tm Plchow, wh domn o el Wh we hve o : veco-vlued uncon, ( ) ( ) ( ) j ( ) nume nd ne o veco The uncon, nd A w done wh eul uncon ( x) nd connuy e he componen

More information

ON CONVERGENCE ALMOST EVERYWHERE OF MULTIPLE FOURIER INTEGRALS (Mengenai Penumpuan Hampir di Mana-Mana bagi Kamiran Fourier Berganda)

ON CONVERGENCE ALMOST EVERYWHERE OF MULTIPLE FOURIER INTEGRALS (Mengenai Penumpuan Hampir di Mana-Mana bagi Kamiran Fourier Berganda) Joua of Qua Measuee ad Aass JQMA 7 9-5 Jua Pegukua Kua da Aass O OVERGEE AMOST EVERYWHERE OF MUTPE FOURER TEGRAS Megea Peupua Hap d Maa-Maa bag Kaa Foue Begada AVARJO AHMEDOV ORASHK ABDU AZZ & MOHD ORZA

More information

The algebraic immunity of a class of correlation immune H Boolean functions

The algebraic immunity of a class of correlation immune H Boolean functions Ieraoal Coferece o Advaced Elecroc Scece ad Techology (AEST 06) The algebrac mmuy of a class of correlao mmue H Boolea fucos a Jgla Huag ad Zhuo Wag School of Elecrcal Egeerg Norhwes Uversy for Naoales

More information

On Bilinear Equations, Bell Polynomials and Linear Superposition Principle

On Bilinear Equations, Bell Polynomials and Linear Superposition Principle Ameca Joua of Computatoa ad Apped Mathematcs 4, 4(5): 55-6 DOI:.59/.acam.445. O Bea Equatos, Be Poyomas ad Lea Supeposto Pcpe M. Y. Adamu *, E. Suema Mathematca Sceces Pogamme, Abubaka Tafawa Baewa, Uvesty,

More information

Probabilistic number theory : A report on work done. What is the probability that a randomly chosen integer has no square factors?

Probabilistic number theory : A report on work done. What is the probability that a randomly chosen integer has no square factors? Pobabilistic numbe theoy : A eot on wo done What is the obability that a andomly chosen intege has no squae factos? We can constuct an initial fomula to give us this value as follows: If a numbe is to

More information

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9 C C A 55NED n R 5 0 9 b c c \ { s AS EC 2 5? 9 Con 0 \ 0265 o + s ^! 4 y!! {! w Y n < R > s s = ~ C c [ + * c n j R c C / e A / = + j ) d /! Y 6 ] s v * ^ / ) v } > { ± n S = S w c s y c C { ~! > R = n

More information

8.5 Circles and Lengths of Segments

8.5 Circles and Lengths of Segments LenghofSegmen20052006.nb 1 8.5 Cicle and Lengh of Segmen In hi ecion we will how (and in ome cae pove) ha lengh of chod, ecan, and angen ae elaed in ome nal way. We will look a hee heoem ha ae hee elaionhip

More information