Fix point internal hierarchy specification for context free grammars

Size: px
Start display at page:

Download "Fix point internal hierarchy specification for context free grammars"

Transcription

1 Proceedgs of the th WEA Itertol Coferece o COMPUER, Agos olos, Crete Isld, Greece, July 26-28, Fx pot terl herrchy specfcto for cotext free grrs AILE CRĂCIUEA, RALF FABIA, DAIEL HUYADI, EMIL MARI POPA Deprtet for Coputer ceces d Ecooc Ifortcs Luc Blg Uversty of bu Io Rţu treet, o 5-7, bu ROMAIA crcue@slro, rlffb@ulbsburo, dyhuyd@yhooco, elpop@ulbsburo Abstrct: - I the prtculr cse whe cotext free grr s used s odel for coputto syste, ech oterl wll be turlly ssocted to eg, e type, d every geerto rule represets operto the coputtos syste hus, the dervto tree (sytx tree) of ths grr yelds herrchc structure of types s well s herrchc structure of syste opertos Cosequetly, o ech herrchc level there exsts set of types d set of opertos, ely lguge Recursve specfctos re useful tool for represetg d studyg ths d of lguge herrches As we show ths pper, the recursve specfctos re d of costructor for these lguges Key-Words: - coputto syste, fx pot, recursve specfcto, terl herrchy, type herrches Itroducto Wth ths pper we ddress the ssue of geerto d specfcto ethods for syste desg bsed o recursve specfctos, cosderg cotext free grrs s the bscs lestoe curret oder progrg lguges herefore we l the propertes of Kleee s fx pot theory to terl herrchy specfctos of cotext free grrs hs leds to the possblty of specfy bstrcto levels for pplcto geerto tht rely o prevous (older) levels I other words, there re ulted possbltes to exted the exstg specfctos We ssue flrty wth bsc deftos d results of forl lguge theory Frst we stress out soe portt results fro set theory, eeded the forl odelg of recursve systes Further we preset lgorth tht deteres the types d lgorth for the proper herrchy of types At the ed we fsh wth sple exple showg the edte results of the preseted theory 2 Prelry cocepts d otos I ths prgrph we recll soe bsc cocepts d otos relted to our further dscussos Fro the set theory we ow tht posets (prtl ordered set: s reflexve, tsyetrc d trstve) hve the propertes y s upper boud of subset Z of poset ( P, ) ff y P d, for ll z Z, z y y s the lest eleet ( ) of Z ff y Z d, for ll z Z, y z y s xl eleet of Z ff y Z d there s o z Z such tht z y d y z he oto of lower boud, gretest eleet, d l eleet receve dul deftos (e deftos obted by replcg by ) y s the supreu, Z, of Z ff y s upper boud of Z d y s the lest of the upper bouds of Z y s the fu, Z, of Z ff y s lower boud of Z d y s the gretest of the lower bouds of Z Defto 2 A prtl ordered set ( P, ) s clled do f t hs oe lest eleet d f y scedg sequece over P hs upper boud P Defto 22 Let ( D, ),,( D, ), > 0 be dos he the product do of dos s do ( D, ), where: D= D D d ( x, x2,, x) ( y, y2,, y) ff x y, =,, ( x, x2,, x),( y, y2,, y) D D Defto 2 Let D be do A recursve specfcto over D s totl fucto : D D 2 such tht ( ) ( ) ( ) I ths 2 codtos the sequece ( ) ( ) ( ) s clled Kleee sequece for [],[0] Defto 2 A eleet f D, defed by f = = ( ), () s clled Kleee setc of []

2 Proceedgs of the th WEA Itertol Coferece o COMPUER, Agos olos, Crete Isld, Greece, July 26-28, Rer: Fro the do defto, ths supreu exsts Le 2 If ( D, ) s do d :( D, ) ( D, ) s ootoe the s recursve specfcto (Proof: see []) Defto 25 Let ( P, ) be prtl ordered set d : P P totl fucto A fxed pot of s eleet f P tht verfes ( f ) = f he lest fx pot of (f t exsts) s the lest eleet fro the set of fx pots [],[8] heore 2 Let ( P, ) be prtl ordered set d :( P, ) ( P, ) ootoe fucto If there exsts f = { h h ( h), the t s fx pot of (Proof: see []) Defto 26 Let ( D, ) d ( E, ') be dos A ootoe ppg : ( D, ) ( E, ') s cotuous f t preserves the leses upper bouds of the cresg sequeces, ely ( f) = ( ( f)) [] A portt result, o whch ths pper reles o, s the followg theore, ow s Kleee s fx pot theore heore 22 (Kleee s fx pot theore) Let (D, ) be do d : ( D, ) ( D, ) cotuous fucto he Klee s setc f = ( ) s the lest fx pot of ([],[8]) = Exple 2 We deote Pf( X, Y ) the set of ll prtl fuctos f : X Y he ( Pf( X, Y ), ) s do, where the relto s defed s follows: f g DD( f) DD( g) d g( x) = f( x), ( ) x DD( f ) hus, f f f2 f we defe f s DD( f ) = DD( f ) = 0 ( f)( x) = f( x), ( ) such tht x DD( f ) he fucto f s well defed becuse f x DD( f ) DD( f), the f ( x) = f( x) I ths crcustces t c esly bee see tht the 2 Kleee sequece ( ) ( ) ( ) s deed cresg sequece Pf( X, Y ), d Kleee s setc DD( f ) = DD( ( )), = f ( x) = ( )( x), ( ), x DD ( ( )) stsfes the relto = ( ) f Rer: he relto f g shows us tht g offers t lest s uch forto th f dose Fx pot d forl lguges I ths prt we focus o cotext free grrs (type 2 grrs Chosy s clssfcto) Fst, we show o exple, tht the lguge geerted by cotext free grr (CFG) c be obted fro the sllest fx pot of well chose recursve specfcto Exple uppose the followg sple CFG: G = (,,, P) where P= { A B A Ab A b B bb B b = {, A, B, = {, b d s the grr xo (strtg sybol) Frst we rewrte the producto rules the followg wy A+B A Ab+b B bb+b where + deotes the uo he we defe the recursve specfcto: :(2 ) (2 ) (, A, B)=(A+B, Ab+b, bb+b) Applyg Kleee s theore to detere the leses fx pot for the bove chose (the fct tht s cotues wll be show lter) d coputg the Kleee sequece we hve: 0 (,, ) = (,, ) (,, ) = (,, ) = {, b, b) (,, ) = (, b, b) = { b + b, b + b, 2 2 b + b It c be esly see tht ducto over proofs tht ( ) = ({ b { b, { b,{ b ) hus, the sequece ( ) s truly cresg sequece d we hve ( ) = ( LG ( ),{ b,{ b ) 0 (here L(G) es the lguge geerted by the grr G) However, L(G) s the frst copoet of the lest fx pot of More geerlly speg, for

3 Proceedgs of the th WEA Itertol Coferece o COMPUER, Agos olos, Crete Isld, Greece, July 26-28, =,2,, the -th copoet of ( ) s 0 { w w X d v w, where v {, A, B A closer loo o the bove reltos wll revel soe other forto to Let deote the power of the relto, e w w' es tht w derves (geertes) w ' steps f there exsts sequece w, w2,, w such tht w= w w2 w w = w' w w' es tht w= w' Hece, the -th eleet of ( ) s { w w X d v w', for (2) he represetto { w w X d v w, s trcy, s the followg exple shows Exple 2 Cosderg grr wth sgle vrble d the productos ++bb, the, X X ths ples :2 2 d ( )=++bb hus, 0 ( ) = ( ) = { 2 ( ) = {, bb { But 2 ( ) s ot cceptble sce the shortest dervto for the word bb s v v bbv bbv bb, whch eeds steps ( sted of les the 2) Aywy, loog t the dervto tree, depct fgure, for the word bb, we see tht he s of heght 2 b Fgure Dervto tree for exple 2 I other words, f we dt prllel substtutos (ll the vrbles of sequece c be replced durg sgle step), the our word s deed dervble two steps: bb bb hs s odel of the setc of totl cll by, due the fct tht ll vrbles re replced by ech step however ths odel s odeterstc becuse y producto fro the set of productos c be chose to replce every occurrece of vrble b 0 Iterl herrchy of cotext free lguges he geertg grr for cotext free lguge offers terl lguge herrchy By ths es, we cosder the lguge setcs equl to the clculus syste obted the followg wy: every oterl sybol of the grr represets the e of set of eleets clled type every producto represets heterogeeous operto, ely, f A α P d α = s0as A2 s A s +, the the heterogeeous operto ssocted to ths producto s deoted by s0s s s + d opertes o the sets A, A2,, A d produces result of type A, e ( s0s ss+ ) : A A2 A A If p = A α P the t( p ) deotes the type of p, t( p) = A d( p ) deotes the do of p, d( p) = { A, A2,, A s( p ) deotes the stte word (or sybol) of p, s( p) = s0s s s +, d p ( ) the rty of p, p ( ) = Gve cotext free lguge G = (,,, P), we cosder herrchy of oterl sybols buld s follows: 0 = { A A α P, α () + = { A A s0as A2 sas+ P () d A, A2,, A he ext lgorth deteres the types herrchy for cotext free grr G= (,,, P) Algorth Iput: A CFG G = (,,, P) Output: he set of types Method: cossts buldg sequece of sets { tht coply wth the property 0 = = hus, wll cot ll the oterl sybols tht c geerte words over Obvously, f the lguge s equl to the epty set 00 AR 0 : = = { A A α P, α 0 DO UIL ( = ) + = { A 0 A s As A s A s P 0 2 +, 2,, d A A A

4 Proceedgs of the th WEA Itertol Coferece o COMPUER, Agos olos, Crete Isld, Greece, July 26-28, : = + 06 EDDO 07 OP Property For y gve cotext free grr G = (,,, P), there exsts fte uber of herrchc type levels (he coplete proof c be foud []) Exple We cosder ow s exple, clssc CFG, ely the grr tht geertes rthetc expressos: G = (,,, P), where ={E,, F ={,,+,(,) =E P={F, F, F, E, E E+, F (E) We obt the followg er herrchy of types: 0 ={F ={F, 2 ={F,, E ={F,, E Buldg er herrchy of productos leds us to: 0 P = { p P d( p) = d t( p), + P = P { p P d( p) d t( p) For gve cotext free grr G= (,,, P), the followg lgorth deteres the correspodg herrchy of types Algorth 2 Iput: A cotext free grr G = (,,, P) Output: he set of productos P Method: cossts of buldg sequece of sets { P wth the property 2 P P P = P = he set P wll cot ll useful productos of the grr G 00 AR 0 : = P = { p P d( p) = d t( p) 0 DO UIL ( P = P ) + P = P { p P d( p) 0 d t( p) 05 : = + 06 EDDO 07 OP Property 2 For y gve cotext free grr G= (,,, P) there exst fte uber,, of producto levels (For the coplete proof see []) I buldg the type herrchy we use pproprte recursve specfcto for every herrchc level Every = { v, v2,, vr hs the recursve specfcto: r r :(2 ) (2 ), ( v, v2,, vr) = ([ v ],[ v2],,[ vr]), where [ v ] = { α = s0as A2 s A s+ p= A α Pd d( p) = v Exple 2 For the cotext free grr of rthetc expressos, for exple, we hve the followg producto herrchy: P ={F P 2 ={F, F P ={F, F, F, E P =P d the correspodg recursve specfctos re: :(2 ) (2 ), (F)=() :(2 ) (2 ), 2 (F, )=(, F) :(2 ) (2 ), (F,, E)=(, F F, ) :(2 ) (2 ), (F,, E)=( (E), F F, E+) he fx pots of ths specfctos yeld the pproprte types: ( ) = ( ) 2 ( ) = ( ) ( ) = ( ) hus f = ( ), e v = { 2 (, ) = (, ) 2 2( ) = 2(, ) = (, ) 2 ( ) = (, ) hus f (, ) v =, e 2 = {, v2 = { (,, ) = (,, ) 2 (,, ) = (,, ) = (,, ) (,, ) = (,, ) = (,{,, ) (,, ) = (,{,, ) = (,{,,, {, ) ( ) = (,{,,,,, 2 tes tes {,,,, )

5 Proceedgs of the th WEA Itertol Coferece o COMPUER, Agos olos, Crete Isld, Greece, July 26-28, herefore v { f = (,{,{ ) d =, v2 = {, v = {, where = tes (,, ) = (,, ) 2 (,, ) = (,, ) = (,, ) (,, ) = (,, ) = (,{,, ) (,, ) = (,{,, ) = ({,( ), {,,, {,, +, + ) 5 (,, ) = ({, (),{,,, {,, +, +)= ({, (), (), (+), (+), {, (),,,, (), (), (), {,,, +, +, ++, ++, +, +, ++, ++, +, +, ++, ++) Geerlly, f bulds the set of bse prry types of lguge L(G) d represets the geertg level or the lexco of lguge L(G), other words, the lexcl level of lguge L(G) 5 Coclusos d future wors I geerl, cocrete coputtol structures re coposed of fly of obect sets, uber of (prtl detered opertos) o these obects d seres of propertes of these opertos Hece, coputtol structure s lgebrc structure ce coplex pplctos wll requre the possblty to reso bout reltol lgebrs buld fro other reltol lgebrs v cert costructo prcples, t becoes ecessrly to llow resog ot oly wth sgle relto lgebr but lso bout severl structures d the coectos betwee the Recursve specfctos ephsze lguge costructo fro sple levels to coplex oes Eve f we poted out the terl herrchy of gve grr, ths tur c be exteded ultedly, by ddg, to ew types d opertos buld upo the lredy defed levels he here preseted des re prt of our reserch o forl ethods for progrg lguge d o of the reserch drectos of our locl Reserch Cetre rous coottos d prctcl spects wll be prt of further scetfc ppers As purpose, we re curretly tedg to pply ths ethod systes for pplcto geerto bsed o ult lyer specfcto We wll otor wth gret terest the evoluto of the syste, over the te, to see f the ulted extesblty s relble log ru soluto Refereces: [] Erest G Mes, Mchel A Arbb, Algebrc Approches to progr setcs prger erlg, ew Yor, Berl, Hedelberg, Lodo, Prs, oyo, 986 [2] Alfred Aho, Rv eth, Jeffrey D Ull, Coplers: Prcples, echques, d ools, Addso Wesley, 200 [] eodor Rus, Mecse forle petru specfcre lbelor, Ed Acdee Roâe, Bucureşt, 98 [] Crăcue, rsltore ş copltore, Ed Al Mter, bu, 2002 [5] El M Pop, Modele forle coputtole, Edtur Al Mter, bu, 2000 [6] El M Pop, Lbe forle Fudetele lbelor de progrre, Edtur Al Mter, bu, 200 [7] El M Pop, Progrre geetc s evolutv, Edtur Al Mter, bu, 200 [8] El M Pop, Forl ytx d etcs of Progrg Lguge, Edtur Al Mter, bu, 200 [9] Rlf Fb, Lbe forle, eore, Exeple, Problee, Edtur Uverstăţ Luc Blg bu, 2006 [0] Cregă, C Rescher, D ovc, Itroducere lgebrcă î fortcă Lbe forle, Ed Jue, Iş, 97 [] Cregă, C Rescher, D ovc, Itroducere lgebrcă î fortcă eore utotelor, Ed Jue, Iş, 97 [2] oder Juc, Lbe forle ş utote, Ed MtrxRo, 999 [] Gbrel Or, Lbe forle ş cceptor, Ed Albstră, Clu-poc, 2002 [] Luc D Şerbăţ, Lbe de progrre ş copltore, Ed Acdee Roâe, Bucureşt, 987 [5] Jürge Dssow, Gheorghe Pău, Regulted Rewrtg Forl Lguge heory, Adee erlg Berl, 989 [6] Gh Pău, Grtc cotextule, Bucureşt, 982 [7] Gh Pău, Mecse geertve le proceselor ecooce, Ed ehcă, Bucureşt, 988

On Solution of Min-Max Composition Fuzzy Relational Equation

On Solution of Min-Max Composition Fuzzy Relational Equation U-Sl Scece Jourl Vol.4()7 O Soluto of M-Mx Coposto Fuzzy eltol Equto N.M. N* Dte of cceptce /5/7 Abstrct I ths pper, M-Mx coposto fuzzy relto equto re studed. hs study s geerlzto of the works of Ohsto

More information

Fibonacci and Lucas Numbers as Tridiagonal Matrix Determinants

Fibonacci and Lucas Numbers as Tridiagonal Matrix Determinants Rochester Isttute of echology RI Scholr Wors Artcles 8-00 bocc d ucs Nubers s rdgol trx Deterts Nth D. Chll Est Kod Copy Drre Nry Rochester Isttute of echology ollow ths d ddtol wors t: http://scholrwors.rt.edu/rtcle

More information

Available online through

Available online through Avlble ole through wwwmfo FIXED POINTS FOR NON-SELF MAPPINGS ON CONEX ECTOR METRIC SPACES Susht Kumr Moht* Deprtmet of Mthemtcs West Begl Stte Uverst Brst 4 PrgsNorth) Kolt 76 West Begl Id E-ml: smwbes@yhoo

More information

ON NILPOTENCY IN NONASSOCIATIVE ALGEBRAS

ON NILPOTENCY IN NONASSOCIATIVE ALGEBRAS Jourl of Algebr Nuber Theory: Advces d Applctos Volue 6 Nuber 6 ges 85- Avlble t http://scetfcdvces.co. DOI: http://dx.do.org/.864/t_779 ON NILOTENCY IN NONASSOCIATIVE ALGERAS C. J. A. ÉRÉ M. F. OUEDRAOGO

More information

SUM PROPERTIES FOR THE K-LUCAS NUMBERS WITH ARITHMETIC INDEXES

SUM PROPERTIES FOR THE K-LUCAS NUMBERS WITH ARITHMETIC INDEXES Avlble ole t http://sc.org J. Mth. Comput. Sc. 4 (04) No. 05-7 ISSN: 97-507 SUM PROPERTIES OR THE K-UCAS NUMBERS WITH ARITHMETIC INDEXES BIJENDRA SINGH POOJA BHADOURIA AND OMPRAKASH SIKHWA * School of

More information

Sequences and summations

Sequences and summations Lecture 0 Sequeces d summtos Istructor: Kgl Km CSE) E-ml: kkm0@kokuk.c.kr Tel. : 0-0-9 Room : New Mleum Bldg. 0 Lb : New Egeerg Bldg. 0 All sldes re bsed o CS Dscrete Mthemtcs for Computer Scece course

More information

An Alternative Method to Find the Solution of Zero One Integer Linear Fractional Programming Problem with the Help of -Matrix

An Alternative Method to Find the Solution of Zero One Integer Linear Fractional Programming Problem with the Help of -Matrix Itertol Jourl of Scetfc d Reserch Pulctos, Volue 3, Issue 6, Jue 3 ISSN 5-353 A Altertve Method to Fd the Soluto of Zero Oe Iteger Ler Frctol Progrg Prole wth the Help of -Mtr VSeeregsy *, DrKJeyr ** *

More information

CS321. Numerical Analysis

CS321. Numerical Analysis CS3 Nuercl Alss Lecture 7 Lest Sures d Curve Fttg Professor Ju Zhg Deprtet of Coputer Scece Uverst of Ketuc Legto KY 456 633 Deceer 4 Method of Lest Sures Coputer ded dt collectos hve produced treedous

More information

A Technique for Constructing Odd-order Magic Squares Using Basic Latin Squares

A Technique for Constructing Odd-order Magic Squares Using Basic Latin Squares Itertol Jourl of Scetfc d Reserch Publctos, Volume, Issue, My 0 ISSN 0- A Techque for Costructg Odd-order Mgc Squres Usg Bsc Lt Squres Tomb I. Deprtmet of Mthemtcs, Mpur Uversty, Imphl, Mpur (INDIA) tombrom@gml.com

More information

On Several Inequalities Deduced Using a Power Series Approach

On Several Inequalities Deduced Using a Power Series Approach It J Cotemp Mth Sceces, Vol 8, 203, o 8, 855-864 HIKARI Ltd, wwwm-hrcom http://dxdoorg/02988/jcms2033896 O Severl Iequltes Deduced Usg Power Seres Approch Lored Curdru Deprtmet of Mthemtcs Poltehc Uversty

More information

2/20/2013. Topics. Power Flow Part 1 Text: Power Transmission. Power Transmission. Power Transmission. Power Transmission

2/20/2013. Topics. Power Flow Part 1 Text: Power Transmission. Power Transmission. Power Transmission. Power Transmission /0/0 Topcs Power Flow Part Text: 0-0. Power Trassso Revsted Power Flow Equatos Power Flow Proble Stateet ECEGR 45 Power Systes Power Trassso Power Trassso Recall that for a short trassso le, the power

More information

CURVE FITTING LEAST SQUARES METHOD

CURVE FITTING LEAST SQUARES METHOD Nuercl Alss for Egeers Ger Jord Uverst CURVE FITTING Although, the for of fucto represetg phscl sste s kow, the fucto tself ot be kow. Therefore, t s frequetl desred to ft curve to set of dt pots the ssued

More information

Some Different Perspectives on Linear Least Squares

Some Different Perspectives on Linear Least Squares Soe Dfferet Perspectves o Lear Least Squares A stadard proble statstcs s to easure a respose or depedet varable, y, at fed values of oe or ore depedet varables. Soetes there ests a deterstc odel y f (,,

More information

Chapter 7. Bounds for weighted sums of Random Variables

Chapter 7. Bounds for weighted sums of Random Variables Chpter 7. Bouds for weghted sums of Rdom Vrbles 7. Itroducto Let d 2 be two depedet rdom vrbles hvg commo dstrbuto fucto. Htczeko (998 d Hu d L (2000 vestgted the Rylegh dstrbuto d obted some results bout

More information

A New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming

A New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming ppled Matheatcal Sceces Vol 008 o 50 7-80 New Method for Solvg Fuzzy Lear Prograg by Solvg Lear Prograg S H Nasser a Departet of Matheatcs Faculty of Basc Sceces Mazadara Uversty Babolsar Ira b The Research

More information

Analytical Approach for the Solution of Thermodynamic Identities with Relativistic General Equation of State in a Mixture of Gases

Analytical Approach for the Solution of Thermodynamic Identities with Relativistic General Equation of State in a Mixture of Gases Itertol Jourl of Advced Reserch Physcl Scece (IJARPS) Volume, Issue 5, September 204, PP 6-0 ISSN 2349-7874 (Prt) & ISSN 2349-7882 (Ole) www.rcourls.org Alytcl Approch for the Soluto of Thermodymc Idettes

More information

Union, Intersection, Product and Direct Product of Prime Ideals

Union, Intersection, Product and Direct Product of Prime Ideals Globl Jourl of Pure d Appled Mthemtcs. ISSN 0973-1768 Volume 11, Number 3 (2015), pp. 1663-1667 Reserch Id Publctos http://www.rpublcto.com Uo, Itersecto, Product d Drect Product of Prme Idels Bdu.P (1),

More information

MTH 146 Class 7 Notes

MTH 146 Class 7 Notes 7.7- Approxmte Itegrto Motvto: MTH 46 Clss 7 Notes I secto 7.5 we lered tht some defte tegrls, lke x e dx, cot e wrtte terms of elemetry fuctos. So, good questo to sk would e: How c oe clculte somethg

More information

Chapter 2 Intro to Math Techniques for Quantum Mechanics

Chapter 2 Intro to Math Techniques for Quantum Mechanics Wter 3 Chem 356: Itroductory Qutum Mechcs Chpter Itro to Mth Techques for Qutum Mechcs... Itro to dfferetl equtos... Boudry Codtos... 5 Prtl dfferetl equtos d seprto of vrbles... 5 Itroducto to Sttstcs...

More information

Chapter Unary Matrix Operations

Chapter Unary Matrix Operations Chpter 04.04 Ury trx Opertos After redg ths chpter, you should be ble to:. kow wht ury opertos mes,. fd the trspose of squre mtrx d t s reltoshp to symmetrc mtrces,. fd the trce of mtrx, d 4. fd the ermt

More information

PTAS for Bin-Packing

PTAS for Bin-Packing CS 663: Patter Matchg Algorthms Scrbe: Che Jag /9/00. Itroducto PTAS for B-Packg The B-Packg problem s NP-hard. If we use approxmato algorthms, the B-Packg problem could be solved polyomal tme. For example,

More information

On a class of analytic functions defined by Ruscheweyh derivative

On a class of analytic functions defined by Ruscheweyh derivative Lfe Scece Jourl ;9( http://wwwlfescecestecom O clss of lytc fuctos defed by Ruscheweyh dervtve S N Ml M Arf K I Noor 3 d M Rz Deprtmet of Mthemtcs GC Uversty Fslbd Pujb Pst Deprtmet of Mthemtcs Abdul Wl

More information

6.6 Moments and Centers of Mass

6.6 Moments and Centers of Mass th 8 www.tetodre.co 6.6 oets d Ceters of ss Our ojectve here s to fd the pot P o whch th plte of gve shpe lces horzotll. Ths pot s clled the ceter of ss ( or ceter of grvt ) of the plte.. We frst cosder

More information

10.2 Series. , we get. which is called an infinite series ( or just a series) and is denoted, for short, by the symbol. i i n

10.2 Series. , we get. which is called an infinite series ( or just a series) and is denoted, for short, by the symbol. i i n 0. Sere I th ecto, we wll troduce ere tht wll be dcug for the ret of th chpter. Wht ere? If we dd ll term of equece, we get whch clled fte ere ( or jut ere) d deoted, for hort, by the ymbol or Doe t mke

More information

this is the indefinite integral Since integration is the reverse of differentiation we can check the previous by [ ]

this is the indefinite integral Since integration is the reverse of differentiation we can check the previous by [ ] Atervtves The Itegrl Atervtves Ojectve: Use efte tegrl otto for tervtves. Use sc tegrto rules to f tervtves. Aother mportt questo clculus s gve ervtve f the fucto tht t cme from. Ths s the process kow

More information

Patterns of Continued Fractions with a Positive Integer as a Gap

Patterns of Continued Fractions with a Positive Integer as a Gap IOSR Jourl of Mthemtcs (IOSR-JM) e-issn: 78-578, -ISSN: 39-765X Volume, Issue 3 Ver III (My - Ju 6), PP -5 wwwosrjourlsorg Ptters of Cotued Frctos wth Postve Iteger s G A Gm, S Krth (Mthemtcs, Govermet

More information

A Conventional Approach for the Solution of the Fifth Order Boundary Value Problems Using Sixth Degree Spline Functions

A Conventional Approach for the Solution of the Fifth Order Boundary Value Problems Using Sixth Degree Spline Functions Appled Matheatcs, 1, 4, 8-88 http://d.do.org/1.4/a.1.448 Publshed Ole Aprl 1 (http://www.scrp.org/joural/a) A Covetoal Approach for the Soluto of the Ffth Order Boudary Value Probles Usg Sth Degree Sple

More information

International Journal of Scientific and Research Publications, Volume 3, Issue 5, May ISSN

International Journal of Scientific and Research Publications, Volume 3, Issue 5, May ISSN Itertol Jourl of Scetfc d Reserch Pulctos, Volue 3, Issue 5, My 13 1 A Effcet Method for Esy Coputto y Usg - Mtr y Cosderg the Iteger Vlues for Solvg Iteger Ler Frctol Progrg Proles VSeeregsy *, DrKJeyr

More information

CS473-Algorithms I. Lecture 3. Solving Recurrences. Cevdet Aykanat - Bilkent University Computer Engineering Department

CS473-Algorithms I. Lecture 3. Solving Recurrences. Cevdet Aykanat - Bilkent University Computer Engineering Department CS473-Algorthms I Lecture 3 Solvg Recurreces Cevdet Aykt - Blket Uversty Computer Egeerg Deprtmet Solvg Recurreces The lyss of merge sort Lecture requred us to solve recurrece. Recurreces re lke solvg

More information

PubH 7405: REGRESSION ANALYSIS REGRESSION IN MATRIX TERMS

PubH 7405: REGRESSION ANALYSIS REGRESSION IN MATRIX TERMS PubH 745: REGRESSION ANALSIS REGRESSION IN MATRIX TERMS A mtr s dspl of umbers or umercl quttes ld out rectgulr rr of rows d colums. The rr, or two-w tble of umbers, could be rectgulr or squre could be

More information

Advanced Algorithmic Problem Solving Le 3 Arithmetic. Fredrik Heintz Dept of Computer and Information Science Linköping University

Advanced Algorithmic Problem Solving Le 3 Arithmetic. Fredrik Heintz Dept of Computer and Information Science Linköping University Advced Algorthmc Prolem Solvg Le Arthmetc Fredrk Hetz Dept of Computer d Iformto Scece Lköpg Uversty Overvew Arthmetc Iteger multplcto Krtsu s lgorthm Multplcto of polyomls Fst Fourer Trsform Systems of

More information

1 Onto functions and bijections Applications to Counting

1 Onto functions and bijections Applications to Counting 1 Oto fuctos ad bectos Applcatos to Coutg Now we move o to a ew topc. Defto 1.1 (Surecto. A fucto f : A B s sad to be surectve or oto f for each b B there s some a A so that f(a B. What are examples of

More information

Introduction to mathematical Statistics

Introduction to mathematical Statistics Itroducto to mthemtcl ttstcs Fl oluto. A grou of bbes ll of whom weghed romtely the sme t brth re rdomly dvded to two grous. The bbes smle were fed formul A; those smle were fed formul B. The weght gs

More information

24 Concept of wave function. x 2. Ae is finite everywhere in space.

24 Concept of wave function. x 2. Ae is finite everywhere in space. 4 Cocept of wve fucto Chpter Cocept of Wve Fucto. Itroucto : There s lwys qutty sscocte wth y type of wves, whch vres peroclly wth spce te. I wter wves, the qutty tht vres peroclly s the heght of the wter

More information

In Calculus I you learned an approximation method using a Riemann sum. Recall that the Riemann sum is

In Calculus I you learned an approximation method using a Riemann sum. Recall that the Riemann sum is Mth Sprg 08 L Approxmtg Dete Itegrls I Itroducto We hve studed severl methods tht llow us to d the exct vlues o dete tegrls However, there re some cses whch t s ot possle to evlute dete tegrl exctly I

More information

The Mathematical Appendix

The Mathematical Appendix The Mathematcal Appedx Defto A: If ( Λ, Ω, where ( λ λ λ whch the probablty dstrbutos,,..., Defto A. uppose that ( Λ,,..., s a expermet type, the σ-algebra o λ λ λ are defed s deoted by ( (,,...,, σ Ω.

More information

12 Iterative Methods. Linear Systems: Gauss-Seidel Nonlinear Systems Case Study: Chemical Reactions

12 Iterative Methods. Linear Systems: Gauss-Seidel Nonlinear Systems Case Study: Chemical Reactions HK Km Slghtly moded //9 /8/6 Frstly wrtte t Mrch 5 Itertve Methods er Systems: Guss-Sedel Noler Systems Cse Study: Chemcl Rectos Itertve or ppromte methods or systems o equtos cosst o guessg vlue d the

More information

KURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS. Peter J. Wilcoxen. Impact Research Centre, University of Melbourne.

KURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS. Peter J. Wilcoxen. Impact Research Centre, University of Melbourne. KURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS by Peter J. Wlcoxe Ipact Research Cetre, Uversty of Melboure Aprl 1989 Ths paper descrbes a ethod that ca be used to resolve cossteces

More information

Linear Algebra Concepts

Linear Algebra Concepts Ler Algebr Cocepts Ke Kreutz-Delgdo (Nuo Vscocelos) ECE 75A Wter 22 UCSD Vector spces Defto: vector spce s set H where ddto d sclr multplcto re defed d stsf: ) +( + ) (+ )+ 5) l H 2) + + H 6) 3) H, + 7)

More information

Entropy ISSN by MDPI

Entropy ISSN by MDPI Etropy 2003, 5, 233-238 Etropy ISSN 1099-4300 2003 by MDPI www.mdp.org/etropy O the Measure Etropy of Addtve Cellular Automata Hasa Aı Arts ad Sceces Faculty, Departmet of Mathematcs, Harra Uversty; 63100,

More information

ICS141: Discrete Mathematics for Computer Science I

ICS141: Discrete Mathematics for Computer Science I Uversty o Hw ICS: Dscrete Mthemtcs or Computer Scece I Dept. Iormto & Computer Sc., Uversty o Hw J Stelovsy bsed o sldes by Dr. Be d Dr. Stll Orgls by Dr. M. P. Fr d Dr. J.L. Gross Provded by McGrw-Hll

More information

14.2 Line Integrals. determines a partition P of the curve by points Pi ( xi, y

14.2 Line Integrals. determines a partition P of the curve by points Pi ( xi, y 4. Le Itegrls I ths secto we defe tegrl tht s smlr to sgle tegrl except tht sted of tegrtg over tervl [ ] we tegrte over curve. Such tegrls re clled le tegrls lthough curve tegrls would e etter termology.

More information

Area and the Definite Integral. Area under Curve. The Partition. y f (x) We want to find the area under f (x) on [ a, b ]

Area and the Definite Integral. Area under Curve. The Partition. y f (x) We want to find the area under f (x) on [ a, b ] Are d the Defte Itegrl 1 Are uder Curve We wt to fd the re uder f (x) o [, ] y f (x) x The Prtto We eg y prttog the tervl [, ] to smller su-tervls x 0 x 1 x x - x -1 x 1 The Bsc Ide We the crete rectgles

More information

Non-uniform Turán-type problems

Non-uniform Turán-type problems Joural of Combatoral Theory, Seres A 111 2005 106 110 wwwelsevercomlocatecta No-uform Turá-type problems DhruvMubay 1, Y Zhao 2 Departmet of Mathematcs, Statstcs, ad Computer Scece, Uversty of Illos at

More information

A Remark on the Uniform Convergence of Some Sequences of Functions

A Remark on the Uniform Convergence of Some Sequences of Functions Advaces Pure Mathematcs 05 5 57-533 Publshed Ole July 05 ScRes. http://www.scrp.org/joural/apm http://dx.do.org/0.436/apm.05.59048 A Remark o the Uform Covergece of Some Sequeces of Fuctos Guy Degla Isttut

More information

DATA FITTING. Intensive Computation 2013/2014. Annalisa Massini

DATA FITTING. Intensive Computation 2013/2014. Annalisa Massini DATA FITTING Itesve Computto 3/4 Als Mss Dt fttg Dt fttg cocers the problem of fttg dscrete dt to obt termedte estmtes. There re two geerl pproches two curve fttg: Iterpolto Dt s ver precse. The strteg

More information

7.0 Equality Contraints: Lagrange Multipliers

7.0 Equality Contraints: Lagrange Multipliers Systes Optzato 7.0 Equalty Cotrats: Lagrage Multplers Cosder the zato of a o-lear fucto subject to equalty costrats: g f() R ( ) 0 ( ) (7.) where the g ( ) are possbly also olear fuctos, ad < otherwse

More information

Chapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II

Chapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II CEE49b Chapter - Free Vbrato of Mult-Degree-of-Freedom Systems - II We ca obta a approxmate soluto to the fudametal atural frequecy through a approxmate formula developed usg eergy prcples by Lord Raylegh

More information

TiCC TR November, Gauss Sums, Partitions and Constant-Value Codes. A.J. van Zanten. TiCC, Tilburg University Tilburg, The Netherlands

TiCC TR November, Gauss Sums, Partitions and Constant-Value Codes. A.J. van Zanten. TiCC, Tilburg University Tilburg, The Netherlands Tlburg ceter for Cogto d Coucto P.O. Box 953 Tlburg Uversty 5 LE Tlburg, The Netherlds htt://www.tlburguversty.edu/reserch/sttutes-d-reserch-grous/tcc/cc/techcl-reorts/ El: tcc@uvt.l Coyrght A.J. v Zte,

More information

, we would have a series, designated as + j 1

, we would have a series, designated as + j 1 Clculus sectio 9. Ifiite Series otes by Ti Pilchowski A sequece { } cosists of ordered set of ubers. If we were to begi ddig the ubers of sequece together s we would hve series desigted s. Ech iteredite

More information

MATRIX ALGEBRA, Systems Linear Equations

MATRIX ALGEBRA, Systems Linear Equations MATRIX ALGEBRA, Systes Lier Equtios Now we chge to the LINEAR ALGEBRA perspective o vectors d trices to reforulte systes of lier equtios. If you fid the discussio i ters of geerl d gets lost i geerlity,

More information

The Computation of Common Infinity-norm Lyapunov Functions for Linear Switched Systems

The Computation of Common Infinity-norm Lyapunov Functions for Linear Switched Systems ISS 746-7659 Egd UK Jour of Iformto d Comutg Scece Vo. 6 o. 4. 6-68 The Comutto of Commo Ifty-orm yuov Fuctos for er Swtched Systems Zheg Che Y Go Busess Schoo Uversty of Shgh for Scece d Techoogy Shgh

More information

A Family of Non-Self Maps Satisfying i -Contractive Condition and Having Unique Common Fixed Point in Metrically Convex Spaces *

A Family of Non-Self Maps Satisfying i -Contractive Condition and Having Unique Common Fixed Point in Metrically Convex Spaces * Advaces Pure Matheatcs 0 80-84 htt://dxdoorg/0436/a04036 Publshed Ole July 0 (htt://wwwscrporg/oural/a) A Faly of No-Self Mas Satsfyg -Cotractve Codto ad Havg Uque Coo Fxed Pot Metrcally Covex Saces *

More information

Integration by Parts for D K

Integration by Parts for D K Itertol OPEN ACCESS Jourl Of Moder Egeerg Reserc IJMER Itegrto y Prts for D K Itegrl T K Gr, S Ry 2 Deprtmet of Mtemtcs, Rgutpur College, Rgutpur-72333, Purul, West Begl, Id 2 Deprtmet of Mtemtcs, Ss Bv,

More information

POWERS OF COMPLEX PERSYMMETRIC ANTI-TRIDIAGONAL MATRICES WITH CONSTANT ANTI-DIAGONALS

POWERS OF COMPLEX PERSYMMETRIC ANTI-TRIDIAGONAL MATRICES WITH CONSTANT ANTI-DIAGONALS IRRS 9 y 04 wwwrppresscom/volumes/vol9issue/irrs_9 05pdf OWERS OF COLE ERSERIC I-RIIGOL RICES WIH COS I-IGOLS Wg usu * Q e Wg Hbo & ue College of Scece versty of Shgh for Scece d echology Shgh Ch 00093

More information

SUBCLASS OF HARMONIC UNIVALENT FUNCTIONS ASSOCIATED WITH SALAGEAN DERIVATIVE. Sayali S. Joshi

SUBCLASS OF HARMONIC UNIVALENT FUNCTIONS ASSOCIATED WITH SALAGEAN DERIVATIVE. Sayali S. Joshi Faculty of Sceces ad Matheatcs, Uversty of Nš, Serba Avalable at: http://wwwpfacyu/float Float 3:3 (009), 303 309 DOI:098/FIL0903303J SUBCLASS OF ARMONIC UNIVALENT FUNCTIONS ASSOCIATED WIT SALAGEAN DERIVATIVE

More information

Bond Additive Modeling 5. Mathematical Properties of the Variable Sum Exdeg Index

Bond Additive Modeling 5. Mathematical Properties of the Variable Sum Exdeg Index CROATICA CHEMICA ACTA CCACAA ISSN 00-6 e-issn -7X Crot. Chem. Act 8 () (0) 9 0. CCA-5 Orgl Scetfc Artcle Bod Addtve Modelg 5. Mthemtcl Propertes of the Vrble Sum Edeg Ide Dmr Vukčevć Fculty of Nturl Sceces

More information

Optimality of Strategies for Collapsing Expanded Random Variables In a Simple Random Sample Ed Stanek

Optimality of Strategies for Collapsing Expanded Random Variables In a Simple Random Sample Ed Stanek Optmlt of Strteges for Collpsg Expe Rom Vrles Smple Rom Smple E Stek troucto We revew the propertes of prectors of ler comtos of rom vrles se o rom vrles su-spce of the orgl rom vrles prtculr, we ttempt

More information

Differential Method of Thin Layer for Retaining Wall Active Earth Pressure and Its Distribution under Seismic Condition Li-Min XU, Yong SUN

Differential Method of Thin Layer for Retaining Wall Active Earth Pressure and Its Distribution under Seismic Condition Li-Min XU, Yong SUN Itertol Coferece o Mechcs d Cvl Egeerg (ICMCE 014) Dfferetl Method of Th Lyer for Retg Wll Actve Erth Pressure d Its Dstrbuto uder Sesmc Codto L-M XU, Yog SUN Key Lbortory of Krst Evromet d Geologcl Hzrd

More information

ELEG 3143 Probability & Stochastic Process Ch. 5 Elements of Statistics

ELEG 3143 Probability & Stochastic Process Ch. 5 Elements of Statistics Deprtet of Electricl Egieerig Uiversity of Arkss ELEG 3143 Probbility & Stochstic Process Ch. 5 Eleets of Sttistics Dr. Jigxi Wu wuj@urk.edu OUTLINE Itroductio: wht is sttistics? Sple e d sple vrice Cofidece

More information

APPLICATION OF DIFFERENCE EQUATIONS TO CERTAIN TRIDIAGONAL MATRICES

APPLICATION OF DIFFERENCE EQUATIONS TO CERTAIN TRIDIAGONAL MATRICES Scietific Reserch of the Istitute of Mthetics d Coputer Sciece 3() 0, 5-0 APPLICATION OF DIFFERENCE EQUATIONS TO CERTAIN TRIDIAGONAL MATRICES Jolt Borows, Le Łcińs, Jowit Rychlews Istitute of Mthetics,

More information

Lexicographic Strategic Games Nonstandard Analysis

Lexicographic Strategic Games Nonstandard Analysis IJ Itellget Systes d Alctos 7-8 Publshed Ole Jue MECS (htt://wwwecs-ressorg/ DOI: 585/s7 ecogrhc Strtegc Ges Nostdrd Alyss Gur N Beltdze Det of Cotrol Systes Georg echcl Uversty bls Georg E-l: gbeltdze@yhooco

More information

Some results and conjectures about recurrence relations for certain sequences of binomial sums.

Some results and conjectures about recurrence relations for certain sequences of binomial sums. Soe results ad coectures about recurrece relatos for certa sequeces of boal sus Joha Cgler Faultät für Matheat Uverstät We A-9 We Nordbergstraße 5 Joha Cgler@uveacat Abstract I a prevous paper [] I have

More information

Formal Languages The Pumping Lemma for CFLs

Formal Languages The Pumping Lemma for CFLs Forl Lguges The Pupig Le for CFLs Review: pupig le for regulr lguges Tke ifiite cotext-free lguge Geertes ifiite uer of differet strigs Exple: 3 I derivtio of log strig, vriles re repeted derivtio: 4 Derivtio

More information

A Characterization of Jacobson Radical in Γ-Banach Algebras

A Characterization of Jacobson Radical in Γ-Banach Algebras Advaces Pure Matheatcs 43-48 http://dxdoorg/436/ap66 Publshed Ole Noveber (http://wwwscrporg/joural/ap) A Characterzato of Jacobso Radcal Γ-Baach Algebras Nlash Goswa Departet of Matheatcs Gauhat Uversty

More information

A Penalty Function Algorithm with Objective Parameters and Constraint Penalty Parameter for Multi-Objective Programming

A Penalty Function Algorithm with Objective Parameters and Constraint Penalty Parameter for Multi-Objective Programming Aerca Joural of Operatos Research, 4, 4, 33-339 Publshed Ole Noveber 4 ScRes http://wwwscrporg/oural/aor http://ddoorg/436/aor4463 A Pealty Fucto Algorth wth Obectve Paraeters ad Costrat Pealty Paraeter

More information

A METHOD FOR THE RAPID NUMERICAL CALCULATION OF PARTIAL SUMS OF GENERALIZED HARMONICAL SERIES WITH PRESCRIBED ACCURACY

A METHOD FOR THE RAPID NUMERICAL CALCULATION OF PARTIAL SUMS OF GENERALIZED HARMONICAL SERIES WITH PRESCRIBED ACCURACY UPB c Bull, eres D, Vol 8, No, 00 A METHOD FOR THE RAPD NUMERAL ALULATON OF PARTAL UM OF GENERALZED HARMONAL ERE WTH PRERBED AURAY BERBENTE e roue o etodă ouă etru clculul rd l suelor rţle le serlor roce

More information

St John s College. UPPER V Mathematics: Paper 1 Learning Outcome 1 and 2. Examiner: GE Marks: 150 Moderator: BT / SLS INSTRUCTIONS AND INFORMATION

St John s College. UPPER V Mathematics: Paper 1 Learning Outcome 1 and 2. Examiner: GE Marks: 150 Moderator: BT / SLS INSTRUCTIONS AND INFORMATION St Joh s College UPPER V Mthemtcs: Pper Lerg Outcome d ugust 00 Tme: 3 hours Emer: GE Mrks: 50 Modertor: BT / SLS INSTRUCTIONS ND INFORMTION Red the followg structos crefull. Ths questo pper cossts of

More information

The z-transform. LTI System description. Prof. Siripong Potisuk

The z-transform. LTI System description. Prof. Siripong Potisuk The -Trsform Prof. Srpog Potsuk LTI System descrpto Prevous bss fucto: ut smple or DT mpulse The put sequece s represeted s ler combto of shfted DT mpulses. The respose s gve by covoluto sum of the put

More information

APPLICATION OF THE CHEBYSHEV POLYNOMIALS TO APPROXIMATION AND CONSTRUCTION OF MAP PROJECTIONS

APPLICATION OF THE CHEBYSHEV POLYNOMIALS TO APPROXIMATION AND CONSTRUCTION OF MAP PROJECTIONS APPLICATION OF THE CHEBYSHEV POLYNOMIALS TO APPROXIMATION AND CONSTRUCTION OF MAP PROJECTIONS Pweł Pędzch Jerzy Blcerz Wrsw Uversty of Techology Fculty of Geodesy d Crtogrphy Astrct Usully to pproto of

More information

A heuristic search algorithm for flow-shop scheduling

A heuristic search algorithm for flow-shop scheduling Uversty of Wollogog Reserch Ole Sydey Busess School - Ppers Fculty of Busess 008 A heurstc serch lgorth for flow-shop schedulg Joshu P. F Uversty of Wollogog joshu@uow.edu.u Grh K. Wley Assupto Uversty

More information

Algorithms behind the Correlation Setting Window

Algorithms behind the Correlation Setting Window Algorths behd the Correlato Settg Wdow Itroducto I ths report detaled forato about the correlato settg pop up wdow s gve. See Fgure. Ths wdow s obtaed b clckg o the rado butto labelled Kow dep the a scree

More information

The definite Riemann integral

The definite Riemann integral Roberto s Notes o Itegrl Clculus Chpter 4: Defte tegrls d the FTC Secto 4 The defte Rem tegrl Wht you eed to kow lredy: How to ppromte the re uder curve by usg Rem sums. Wht you c ler here: How to use

More information

means the first term, a2 means the term, etc. Infinite Sequences: follow the same pattern forever.

means the first term, a2 means the term, etc. Infinite Sequences: follow the same pattern forever. 9.4 Sequeces ad Seres Pre Calculus 9.4 SEQUENCES AND SERIES Learg Targets:. Wrte the terms of a explctly defed sequece.. Wrte the terms of a recursvely defed sequece. 3. Determe whether a sequece s arthmetc,

More information

Graphing Review Part 3: Polynomials

Graphing Review Part 3: Polynomials Grphig Review Prt : Polomils Prbols Recll, tht the grph of f ( ) is prbol. It is eve fuctio, hece it is smmetric bout the bout the -is. This mes tht f ( ) f ( ). Its grph is show below. The poit ( 0,0)

More information

The theoretical background of

The theoretical background of he theoretcal backgroud of -echologes he theoretcal backgroud of FactSage he followg sldes gve a abrdged overvew of the ajor uderlyg prcples of the calculatoal odules of FactSage. -echologes he bbs Eergy

More information

Soo King Lim Figure 1: Figure 2: Figure 3: Figure 4: Figure 5: Figure 6: Figure 7: Figure 8: Figure 9: Figure 10: Figure 11:

Soo King Lim Figure 1: Figure 2: Figure 3: Figure 4: Figure 5: Figure 6: Figure 7: Figure 8: Figure 9: Figure 10: Figure 11: Soo Kg Lm 1.0 Nested Fctorl Desg... 1.1 Two-Fctor Nested Desg... 1.1.1 Alss of Vrce... Exmple 1... 5 1.1. Stggered Nested Desg for Equlzg Degree of Freedom... 7 1.1. Three-Fctor Nested Desg... 8 1.1..1

More information

A Brief Introduction to Olympiad Inequalities

A Brief Introduction to Olympiad Inequalities Ev Che Aprl 0, 04 The gol of ths documet s to provde eser troducto to olympd equltes th the stdrd exposto Olympd Iequltes, by Thoms Mldorf I ws motvted to wrte t by feelg gulty for gettg free 7 s o problems

More information

xl yl m n m n r m r m r r! The inner sum in the last term simplifies because it is a binomial expansion of ( x + y) r : e +.

xl yl m n m n r m r m r r! The inner sum in the last term simplifies because it is a binomial expansion of ( x + y) r : e +. Ler Trsfortos d Group Represettos Hoework #3 (06-07, Aswers Q-Q re further exerses oer dots, self-dot trsfortos, d utry trsfortos Q3-6 volve roup represettos Of these, Q3 d Q4 should e quk Q5 s espelly

More information

COMPLEX NUMBERS AND DE MOIVRE S THEOREM

COMPLEX NUMBERS AND DE MOIVRE S THEOREM COMPLEX NUMBERS AND DE MOIVRE S THEOREM OBJECTIVE PROBLEMS. s equl to b d. 9 9 b 9 9 d. The mgr prt of s 5 5 b 5. If m, the the lest tegrl vlue of m s b 8 5. The vlue of 5... s f s eve, f s odd b f s eve,

More information

Some Notes on the Probability Space of Statistical Surveys

Some Notes on the Probability Space of Statistical Surveys Metodološk zvezk, Vol. 7, No., 200, 7-2 ome Notes o the Probablty pace of tatstcal urveys George Petrakos Abstract Ths paper troduces a formal presetato of samplg process usg prcples ad cocepts from Probablty

More information

MATH 247/Winter Notes on the adjoint and on normal operators.

MATH 247/Winter Notes on the adjoint and on normal operators. MATH 47/Wter 00 Notes o the adjot ad o ormal operators I these otes, V s a fte dmesoal er product space over, wth gve er * product uv, T, S, T, are lear operators o V U, W are subspaces of V Whe we say

More information

Roberto s Notes on Integral Calculus Chapter 4: Definite integrals and the FTC Section 2. Riemann sums

Roberto s Notes on Integral Calculus Chapter 4: Definite integrals and the FTC Section 2. Riemann sums Roerto s Notes o Itegrl Clculus Chpter 4: Defte tegrls d the FTC Secto 2 Rem sums Wht you eed to kow lredy: The defto of re for rectgle. Rememer tht our curret prolem s how to compute the re of ple rego

More information

MATH2999 Directed Studies in Mathematics Matrix Theory and Its Applications

MATH2999 Directed Studies in Mathematics Matrix Theory and Its Applications MATH999 Drected Studes Mthemtcs Mtr Theory d Its Applctos Reserch Topc Sttory Probblty Vector of Hgher-order Mrkov Ch By Zhg Sho Supervsors: Prof. L Ch-Kwog d Dr. Ch Jor-Tg Cotets Abstrct. Itroducto: Bckgroud.

More information

Discrete Mathematics and Probability Theory Fall 2016 Seshia and Walrand DIS 10b

Discrete Mathematics and Probability Theory Fall 2016 Seshia and Walrand DIS 10b CS 70 Dscrete Mathematcs ad Probablty Theory Fall 206 Sesha ad Walrad DIS 0b. Wll I Get My Package? Seaky delvery guy of some compay s out delverg packages to customers. Not oly does he had a radom package

More information

Exercises for Square-Congruence Modulo n ver 11

Exercises for Square-Congruence Modulo n ver 11 Exercses for Square-Cogruece Modulo ver Let ad ab,.. Mark True or False. a. 3S 30 b. 3S 90 c. 3S 3 d. 3S 4 e. 4S f. 5S g. 0S 55 h. 8S 57. 9S 58 j. S 76 k. 6S 304 l. 47S 5347. Fd the equvalece classes duced

More information

A Study on New Sequence of Functions Involving the Generalized Contour Integral

A Study on New Sequence of Functions Involving the Generalized Contour Integral Globl Jourl of Scece Froter Reerch Mthetc d Deco Scece Volue 3 Iue Vero. Yer 23 Type : Double Bld Peer Revewed Itertol Reerch Jourl Publher: Globl Jourl Ic. (USA Ole ISS: 2249-4626 & Prt ISS: 975-5896

More information

CHAPTER 4 RADICAL EXPRESSIONS

CHAPTER 4 RADICAL EXPRESSIONS 6 CHAPTER RADICAL EXPRESSIONS. The th Root of a Real Number A real umber a s called the th root of a real umber b f Thus, for example: s a square root of sce. s also a square root of sce ( ). s a cube

More information

Chapter 9 Jordan Block Matrices

Chapter 9 Jordan Block Matrices Chapter 9 Jorda Block atrces I ths chapter we wll solve the followg problem. Gve a lear operator T fd a bass R of F such that the matrx R (T) s as smple as possble. f course smple s a matter of taste.

More information

Expanding Super Edge-Magic Graphs

Expanding Super Edge-Magic Graphs PROC. ITB Sas & Tek. Vol. 36 A, No., 00, 7-5 7 Exadg Suer Edge-Magc Grahs E. T. Baskoro & Y. M. Cholly, Deartet of Matheatcs, Isttut Tekolog Badug Jl. Gaesa 0 Badug 03, Idoesa Eals : {ebaskoro,yus}@ds.ath.tb.ac.d

More information

ON THE LOGARITHMIC INTEGRAL

ON THE LOGARITHMIC INTEGRAL Hacettepe Joural of Mathematcs ad Statstcs Volume 39(3) (21), 393 41 ON THE LOGARITHMIC INTEGRAL Bra Fsher ad Bljaa Jolevska-Tueska Receved 29:9 :29 : Accepted 2 :3 :21 Abstract The logarthmc tegral l(x)

More information

A tighter lower bound on the circuit size of the hardest Boolean functions

A tighter lower bound on the circuit size of the hardest Boolean functions Electroc Colloquum o Computatoal Complexty, Report No. 86 2011) A tghter lower boud o the crcut sze of the hardest Boolea fuctos Masak Yamamoto Abstract I [IPL2005], Fradse ad Mlterse mproved bouds o the

More information

Cubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem

Cubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem Joural of Amerca Scece ;6( Cubc Nopolyomal Sple Approach to the Soluto of a Secod Order Two-Pot Boudary Value Problem W.K. Zahra, F.A. Abd El-Salam, A.A. El-Sabbagh ad Z.A. ZAk * Departmet of Egeerg athematcs

More information

MATRIX AND VECTOR NORMS

MATRIX AND VECTOR NORMS Numercl lyss for Egeers Germ Jord Uversty MTRIX ND VECTOR NORMS vector orm s mesure of the mgtude of vector. Smlrly, mtr orm s mesure of the mgtude of mtr. For sgle comoet etty such s ordry umers, the

More information

Fibonacci Identities as Binomial Sums

Fibonacci Identities as Binomial Sums It. J. Cotemp. Math. Sceces, Vol. 7, 1, o. 38, 1871-1876 Fboacc Idettes as Bomal Sums Mohammad K. Azara Departmet of Mathematcs, Uversty of Evasvlle 18 Lcol Aveue, Evasvlle, IN 477, USA E-mal: azara@evasvlle.edu

More information

Complete Convergence and Some Maximal Inequalities for Weighted Sums of Random Variables

Complete Convergence and Some Maximal Inequalities for Weighted Sums of Random Variables Joural of Sceces, Islamc Republc of Ira 8(4): -6 (007) Uversty of Tehra, ISSN 06-04 http://sceces.ut.ac.r Complete Covergece ad Some Maxmal Iequaltes for Weghted Sums of Radom Varables M. Am,,* H.R. Nl

More information

Linear Algebra Concepts

Linear Algebra Concepts Ler Algebr Cocepts Nuo Vscocelos (Ke Kreutz-Delgdo) UCSD Vector spces Defto: vector spce s set H where ddto d sclr multplcto re defed d stsf: ) +( + ) = (+ )+ 5) H 2) + = + H 6) = 3) H, + = 7) ( ) = (

More information

On the Pell p-circulant sequences

On the Pell p-circulant sequences Notes o Nuber Theory d Dscrete Mthetcs Prt ISSN 30-53, Ole ISSN 367-875 Vol. 3, 07, No., 9 03 O the Pell -crcult sequeces Yeş Aüzü, Öür Devec, d A. G. Sho 3 Dr., Fculty of Scece d Letters, Kfs Uversty

More information

1.3 Continuous Functions and Riemann Sums

1.3 Continuous Functions and Riemann Sums mth riem sums, prt 0 Cotiuous Fuctios d Riem Sums I Exmple we sw tht lim Lower() = lim Upper() for the fuctio!! f (x) = + x o [0, ] This is o ccidet It is exmple of the followig theorem THEOREM Let f be

More information

. The set of these sums. be a partition of [ ab, ]. Consider the sum f( x) f( x 1)

. The set of these sums. be a partition of [ ab, ]. Consider the sum f( x) f( x 1) Chapter 7 Fuctos o Bouded Varato. Subject: Real Aalyss Level: M.Sc. Source: Syed Gul Shah (Charma, Departmet o Mathematcs, US Sargodha Collected & Composed by: Atq ur Rehma (atq@mathcty.org, http://www.mathcty.org

More information