Hidden variable recurrent fractal interpolation function with four function contractivity factors

Size: px
Start display at page:

Download "Hidden variable recurrent fractal interpolation function with four function contractivity factors"

Transcription

1 Hddn varabl rcurrnt fractal ntrpolaton functon wth four functon contractvt factor Chol-Hu Yun Facult of Mathmatc Km Il ung Unvrt Pongang Dmocratc Popl Rpublc of Kora Abtract: In th papr w ntroduc a contructon of hddn varabl rcurrnt fractal ntrpolaton functon HVRFIF wth four functon contractvt factor In th fractal ntrpolaton thor t vr mport ant to nur flblt and dvrt of th contructon of ntrpolaton functon Rcurrnt tratd fu ncton tm RIF produc fractal t wth local lf-mlart tructur Thrfor th RIF can d crb th rrgular and complcatd obct n natur bttr than th tratd functon tm IF Hddn varabl fractal ntrpolaton functon HVFIF nthr lf-mlar nor lf- affn on Th HVFIF mor complcatd dvr and rrgular than th fractal ntrpolaton functon FIF Th co ntractvt factor mportant on that dtrmn charactrtc of FIF W prnt a contructon of on varabl HVRFIF and bvarabl HVRFIF ung RIF wth four functon contractvt factor Kword: Rcurrnt tratd functon tm IF Rcurrnt fractal ntrpolaton functon RFIF Hddn varabl fractal ntrpolaton functon HVFIF Hddn varabl rcurrnt fractal ntrpolaton functon HVRFIF Functon contractvt factor AM ubct Clafcaton: 8A80 4A05 97N C45 Introducton In 986 Brnl ntroducd a notaton of fractal ntrpolaton functonfif bad on th thor of th tratd functon tm IF FIF hav mor advantag n modlng phnomna and fucnton wth om lf-mlart n natur than clacal ntrpolaton functon uch a polnomal and pln Thrfor FIF hav bn tudd n man artcl and appld to a lot of ara uch a functon approomaton gnal p roc and computr graphc tc In fractal ntrpolaton on ma gnrall an IF or a rcurrnt tratd functon tm RIF for a gvn datat and thn contruct th Rad-Baratarbc oprator on utabl pac of contnuou functon ung th IF RIF A fd pont of th oprator th FIF RFIF for th gvn datat Contructon drvatv ntgral dmnon moothn and tablt of th FIF hav bn wdl tudd [-6] nc th vrtcal calng factor whch th contracton tranformaton of IF hav dtrmn th charac trtc of FIF th ar vr mportant To obtan FIF wth hgh flblt contructon of FIF wth fun cton vrtcal calng factor and thr analtc proprt hav bn tudd n man papr [ ] RIF a gnralzaton of IF and produc local lf-mlar t whch armor complcatd than lf- mlar t FIF contructd b th RIF calld a rcurrnt fractal ntrpolaton functon RFIF Contruct on of RFIF for a datat n R and 3 R [4 5 5] In [5] gnralzng th contructon of RFIF wth contant vrtcal calng factor RFIF ung th RIF wth functon vrtcal calng factor wr contructd and th fractal dmnon of graph of th contructd ntrpolaton functon wa tmatd and a contructo n of bvarat fractal ntrpolaton functon ung th RFIF wa propod Barnl t al [ 3] ntroducd a concpt of hddn varabl fractal ntrpolaton functon HVFIF wh ch mor complcatd dvr and rrgular than th FIF for th am t of ntrpolaton data 3 Th da of th contructon of th HVFIF to tnd th gvn data t on R nto a data t on R ma a vctor valud fractal ntrpolaton functon for th tndd data t and thn proct th vctor valud functon onto R whch gv th HVFIF It uuall non lf-affn bcau th HVFIF th procton of a vctor valud

2 functon Th HVFIF hav four fr paramtr: fr varabl contrand fr varabl fr hddn varabl and contrand fr hddn varabl th ar calld contractvt factor Ung hddn varabl w can control mor flbl hap and fractal dmnon of th graph of FIF In man papr th contractvt factor ar contant [3 6 7] Thrfor th contructon lac th fl blt whch ncar to modl complcatd and rrgular natural phnomna To olv th problm H VFIF wth on functon contractvt factor n [] and HVFIF wth four functon contractvt factor wr contructd In th papr n ordr to nur th flblt and dvrt of contructon of HVFIF w prnt con tructon of on varabl and bvarabl HVFIF wth four functon contractvt factor ung RIF Th pap r organzd a follow: In cton w contruct on varabl HVFIF wth four functon contractvt factor for th tndd data t Thorm In cton 3 w prnt a contructon of bvarabl HVFIF wth four functon contractvt factor Thorm 3 4 On varabl HVRFIF Contructon of RIF t a data t P 0 n R b gvn b P0 { R ; 0 n} 0 n To contruct th HVFIF for th datat P 0 w tnd th datat a follow: 3 P { R ; 0 n} 0 n whr and z 0 n ar paramtr Morovr w dnot N n { n} I [ ] and I [ 0 n ] whr I { n} calld a rgon t l b ntgr wth l n W ma ubntrval I l of I contng of om rgon and call I a doman Thn two nd pont of th doman I { l} ar contand n th t { 0 n} and hnc dnotng tart p ont and nd pont of I b rpctvl w gt th followng mappng: :{ l} { n} :{ l} { n} and I dnotd b I [ ] W uppo that l whch man that th nt rval I contan at lat I For ach w ta a { l} and dnot t b t mappng Nn :[ ] [ ] Nn b contracton homomorphm that map nd pont of I to nd pont of I { } { } W dfn mappmg F F : I R R n a follow: z q z q = q z q whr : I R ar phtz functon on I who abolut valu l than whch ar call d contractvt factor and q q : I R ar phtz functon uch that f { } a a { } thn F a Thn F obvoul phtz functon t u dnot b F whr F

3 q q z Eampl An ampl of q q atfd abov a follow: h g g q h g g q g z z g h z z h t R D b a uffcntl larg boundd t contanng n W dfn tranformaton R D : I I W n b F W n Thn a w now from th dfnton of and F W map th data pont on nd of th doman I to th data pont of I For a functon f lt u dnot ma f f W dnot } ; ma{ n Th followng thorm gv a uffcnt condton for W to b contracton tranformaton Thorm If thn thr t om dtanc quvalnt to th Eucldan mtrc on R uch that W ; n ar contracton tranformaton wth rpct to th dtanc Proof W ta a potv ral numbr uch that whr } ; ma{ n } ; ma{ n } ; ma{ n q q up D and a norm on R W dfn a dtanc on 3 R a follow: 3 R Thn t clar that quvalnt to th Eucldan mtrc on R For D I w hav F F W W F F =

4 ma{ } = From th hpoth of th thorm th condton on w hav ma{ } < Thrfor W n ar contracton tranformaton W dfn a row-tochatc matr M p t nn b / a I I t pt 0 I I t whr for vr N n th numbr a ndcat th numbr of th doman I contanng th rgon I whch man that p t potv f thr a tranformaton W mappng I to I t Thn w hav RIF { R 3 ; M ; W n} corrpondng to th tndd datat P W dnot an attr actor of th RIF b A Contructon of HVFIF W ma a contnuou functuon that a fd pont of th Rad-Baratarbc oprator dfnd b th RIF ntrpolat th tndd datat P and who graph th attractor of th RIF For th RIF contructd abov w hav th followng thorm Thorm Thr a contnuou functon f ntrpolatng th tndd data t P uch that th graph of f th attractor A of RIF contructd abov Proof t a t C I b a follow: C I { h : I R ; h ntrpolat th tndd data t P and contnuou} W can al now that th t a complt mtrc pac wth rpct to th norm For h C I w dfn a mappng Th on I b Th F h I Thn w gt Th C I In fact for an { 0 n} thr { } uch that Th F h F whr 0 Hnc w can dfn an oprator T : C E C E on C E Th oprator contracton on In fact w hav Th Th F h F h h h h h h h Thrfor th oprator T ha a unqu fd pont f C I and

5 f F f Th gv that for th graph Gr f of f n Gr f W Gr f E I whr I { N; p 0} n Th man that Gr f th attractor of th RIF contructd n Thorm Thrfor from th unqun of attractor w hav A Gr f t u dnot th vctor valud functon f : I R n Thorm b f f f whr f : I R ntrpolat th gvn datat P 0 whch calld a hddn varabl rcurrnt fractal ntrpolaton functon H VRFIF Furthrmor a t { f : I} a procton of A on R A w now from th proof of Thorm w hav f F f I f F f f I Thrfor for all I th HVRFIF f atf f q f f and f atf f f f q Eampl Fgur how th graph of on varabl HVRFIF contructd b RIF wth four functo n contractvt factor for a datat P 0 ={ } Contractvt factor { 3 4 } { 3 4} { 3 4 } { 3 4 } ar a foll ow: { } { } { } { } { } { } { } { } 3 {9 9 } { } {n0 co300 n00 co3} {099- n0 09- co n co3 } 4 {9 9 } { } {n0 co300 n00 co3} {099- n0 09- co n co3 }

6 Fg Graph of HVRFIF 3 Hddn varabl bvarabl rcurrnt FIF 3 Contructon of RIF t a datat P 0 on rctangular grd b gvn a follow: n 0 m P { z R ; 0 n 0 To ma a HVRFIF for th datat w tnd th datat to th followng on: 4 P { z t z R ; 0 n 0 0 n 0 m whr z z t and t 0 n 0 m ar paramtr W dnot N nm I [ ] Nnm { n} { I [ ] E [ 0 n] [ 0 m] E I I whr E calld a rgon t l b an ntgr wth l N Nt w ta rctangular E l contng of om rgon from E E calld a doman Thn w hav E I I whr I I ar clod ntrval on -a and -a rpctvl nc th ndpont of I { l} ar concdd wth om ndpont of I n dnotng tart pont and nd pont of I b rpctv l w can dfn th followng mappng: :{ l} { n} :{ l} { n} mlarl for I w dfn th mappng :{ l} { :{ l} { Thn w hav I [ ] I [ ] whr w aum that l whch man that I I ar ntrval contanng mor than I I For Nnm w ta { l} and dnot t b W dfn mappng :[ ] [ ] :[ ] [ ] Nnm a contracton homomorphm that map nd pont of I I to nd pont of I I { } { } { } { } Nt w dfn tranformaton : E E b Thn th map vrt o f E to on of E for { } { } ab a { } b { } W dfn mappng F : E R R n m b z t q z F z t q = q t q whr : E R ar arbtrar pchtz functon who abolut valu ar l than and q q : E R ar dfnd a mappng atfng th followng condton: for

7 { } { } a b a { } b { } F z zab Thn F ar pchtz mappng W dnot F b F z whr q z q z t In th futur w dnot mpl F b F t D R b a uffcntl larg boundd t contanng z n m Now w dfn tranformaton W : E D E R n m b W F n m W dnot ma{ ; n Th followng thorm gv a uffcnt condton for hat W to b contracton on Thorm 3 If thn thr t om dtanc quvalnt to th Eucldan mtrc uch t W n m ar contracton tranformaton wth rpct to th dtanc Proof W ta a potv numbr uch that c whr c ma{ c c } c ma{ c ; n 3 ma{ c c c c ; n ma{ ; n up z q q and a norm on R z D Now w dfn a dtanc on R 4 b 4 z z R 4 Thn obvoul quvalnt to th Eucldan mtrc on R and for E D w hav W W F F z z z z z z z c z z = c z z ma{ c } z z = From th hpoth of th thorm and condton on w hav ma{ c } < Th man that W n m ar contracton tranformaton

8 Rmar: In th dfnton of vn n th ca whr changd nto w hav th ml ar rult W dfn a row-tochatc matr M p t N N b / a E E t pt 0 E E t whr : N nm { N} an on to on mappng dfnd b n and th numbr a ndcat th numbr of th doman E l contanng th rgon E whch man that p t potv f thr a tranformaton W mappng E to E t Thn RIF { R 4 ; M ; W n a RIF corrpondng to th tndd datat P An at tractor of th RIF calld a rcurrnt fractal t and dnotd b A Contructon of bvarabl HVRFIF W prnt a uffcnt condton for a fd pont of th Rad-Baratarbc oprator dfnd b th R IF to ntrpolat th tndd datat P and hav a graph whch th attractor of th RIF In th mappng F z dfnd abov w dfn a on atfng condton that for om contnuou functon g ntrpolatng th datat P g z 0 n 0 m F g g { } 3 F g g { } 4 On ampl a follow: l r whr r g E l g E Thn w hav F z l r Nt ampl on of l and r atf ng th condton Eampl 3 A mappng g an ntrpolaton functon of th gvn datat l and r con cd wth g E g E on th doman E th rgon E rpctvl For ntanc w dfn l : g ul g ul g vl g vl u v z u v z u v z u v z l l l l l l l l ul : vl : [ ] [ ] r : g ur g ur g vr g vr ur vr z ur vz r ur vr z uvz r r ur : vr : [ ] [ ] Thn w hav l g l g { } { } r a g a r b g b a { } b { } t th attractor of th RIF atfng condton 3 and 4 b B w hav th followng thorm Thorm 4 Thr a contnuou functon f whch ntrpolat th data t P and who graph th attractor B Proof W dfn a t C E b C E { h : E R C; h ntrpolat P and atf condton 3 4} W can al prov that th a complt mtrc pac wth rpct to th norm nc g C E whch contand n th dfnton of F w hav C E Morovr th functon concdng wth g

9 on E ar contand n C E For h C E w dfn a mappng Th on E b Th F h E Thn w hav Th C E In fact for { } Th F h h Th F h h Thrfor Th h on { : [ 0 m ]} { : [ 0 n ]} 0 n 0 m and F Th F h h Th Th atf 3 mlarl w can prov that Th atf 4 Thrfor w can dfn an oprator T : C E C E on C E It obvou that th oprator co ntracton on In fact w hav Th Th F h F h h h h h h h Hnc T ha a unqu fd pont f C E f F f Furthrmor for th graph Gr f of f N w gt Gr f W Gr f E I Th man that Gr f th attractor of RIF contructd abov From th unqun of th attractor of RIF w hav A Gr f Th vctor valud functon f : E R n Thorm 4 dnotd b f f f whr f : E R ntrpolat th gvn datat P 0 and calld hddn varabl bvarabl rcurrnt fractal ntrpolaton functon 3 HVBRFIF for th datat P 0 Morovr f: E a procton of B on R nc th procton not alwa lf-affn th HVBRFIF not gnrall lf-affn FIF f ntrpolat th t 3 { t t R ; 0 n 0 From th proof of Thorm 4 w gt f F f E f F f f E Thrfor for all E HVBRFIF f atf f f f q and f atf f f f q Eampl Fgur how th graph of HVBRFIF contructd b RIF wth om contractvt fac tor and datat P 0 gvn n th followng tabl:

10 Contractvt factor { } { } { } and { } ar a follow: 3

11 4

12 3 4 Fg Graph of HVBRFIF Rfrnc [] M F Barnl Fractal Evrwhr Acadmc Pr Nw Yor 988 [] M F Barnl Fractal functon and ntrpolaton Contr Appro [3] M F Barnl D Hardn P Maoput Hddn varabl fractal ntrpolaton functon IAM J Math Anal [4] M F Barnl J H Elton Rcurrnt tratd functon tm Contr Appro [5] P Bouboul Dalla V Draopoulo Contructon of rcurrnt bvarat fractal ntrpolaton urfac and computaton of thr bo-countng dmnon J Appro Th [6] P Bouboul Dalla Hddn varabl vctor valud fractal ntrpolaton functon Fractal Vol 3 No [7] AKBChand GPKapoor Hddn Varabl Bvarat Fractal Intrpolaton urfac Frctal [8] Z Fng Y Fng Z Yuan Fractal ntrpolaton urfac wth functon vrtcal calng factor Appld Mathmatc ttr [9] JJ J Png Analtcal proprt of bvarat fractal ntrpolaton functon wth vrtcal calng factor functon Intrnatona Journal of Computr Mathmatc [0] GPKapoor A Praad tablt of Coalcnc Hddn Varabl Fractal Intrpolaton urfac Int J of Non-nar c [] W Mtzlr CH Yun Contructon of fractal ntrpolaton urfac on rctangular grd Int J Bfur Chao [] R Uthaaumar and M Raumar Hddn varabl bvarat fractal ntrpolaton urfac wth functon vrtcal calng factor Intrnatonal Journal of Pur and Appld Mathmatc [3] HY Wang Z Fan Analtcal charactrtc of fractal ntrpolaton functon wth functon vrtcal calng factor Acta Math nca Chn r n Chn [4] HY Wang J Yu Fractal ntrpolaton functon wth varabl paramtr and thr analtcal proprt Journal of Appromaton Thor [5] CH Yun HC O HC Cho Contructon of fractal urfac b rcurrnt fractal ntrpolaton curv Chao olton & Fractal [6] C H Yun and M K R Hddn varabl bvarat fractal ntrpolaton functon and rror on prturbaton of functon contractvt factor Aan-EurJMath07 do:04/

8-node quadrilateral element. Numerical integration

8-node quadrilateral element. Numerical integration Fnt Elmnt Mthod lctur nots _nod quadrlatral lmnt Pag of 0 -nod quadrlatral lmnt. Numrcal ntgraton h tchnqu usd for th formulaton of th lnar trangl can b formall tndd to construct quadrlatral lmnts as wll

More information

A Note on Estimability in Linear Models

A Note on Estimability in Linear Models Intrnatonal Journal of Statstcs and Applcatons 2014, 4(4): 212-216 DOI: 10.5923/j.statstcs.20140404.06 A Not on Estmablty n Lnar Modls S. O. Adymo 1,*, F. N. Nwob 2 1 Dpartmnt of Mathmatcs and Statstcs,

More information

September 27, Introduction to Ordinary Differential Equations. ME 501A Seminar in Engineering Analysis Page 1. Outline

September 27, Introduction to Ordinary Differential Equations. ME 501A Seminar in Engineering Analysis Page 1. Outline Introucton to Ornar Dffrntal Equatons Sptmbr 7, 7 Introucton to Ornar Dffrntal Equatons Larr artto Mchancal Engnrng AB Smnar n Engnrng Analss Sptmbr 7, 7 Outln Rvw numrcal solutons Bascs of ffrntal quatons

More information

CHAPTER 7d. DIFFERENTIATION AND INTEGRATION

CHAPTER 7d. DIFFERENTIATION AND INTEGRATION CHAPTER 7d. DIFFERENTIATION AND INTEGRATION A. J. Clark School o Engnrng Dpartmnt o Cvl and Envronmntal Engnrng by Dr. Ibrahm A. Assakka Sprng ENCE - Computaton Mthods n Cvl Engnrng II Dpartmnt o Cvl and

More information

Group Codes Define Over Dihedral Groups of Small Order

Group Codes Define Over Dihedral Groups of Small Order Malaysan Journal of Mathmatcal Scncs 7(S): 0- (0) Spcal Issu: Th rd Intrnatonal Confrnc on Cryptology & Computr Scurty 0 (CRYPTOLOGY0) MALAYSIA JOURAL OF MATHEMATICAL SCIECES Journal hompag: http://nspm.upm.du.my/ournal

More information

Heisenberg Model. Sayed Mohammad Mahdi Sadrnezhaad. Supervisor: Prof. Abdollah Langari

Heisenberg Model. Sayed Mohammad Mahdi Sadrnezhaad. Supervisor: Prof. Abdollah Langari snbrg Modl Sad Mohammad Mahd Sadrnhaad Survsor: Prof. bdollah Langar bstract: n ths rsarch w tr to calculat analtcall gnvalus and gnvctors of fnt chan wth ½-sn artcls snbrg modl. W drov gnfuctons for closd

More information

Exercises for lectures 7 Steady state, tracking and disturbance rejection

Exercises for lectures 7 Steady state, tracking and disturbance rejection Exrc for lctur 7 Stady tat, tracng and dturbanc rjcton Martn Hromčí Automatc control 06-3-7 Frquncy rpon drvaton Automatcé řízní - Kybrnta a robota W lad a nuodal nput gnal to th nput of th ytm, gvn by

More information

ON THE COMPLEXITY OF K-STEP AND K-HOP DOMINATING SETS IN GRAPHS

ON THE COMPLEXITY OF K-STEP AND K-HOP DOMINATING SETS IN GRAPHS MATEMATICA MONTISNIRI Vol XL (2017) MATEMATICS ON TE COMPLEXITY OF K-STEP AN K-OP OMINATIN SETS IN RAPS M FARAI JALALVAN AN N JAFARI RA partmnt of Mathmatcs Shahrood Unrsty of Tchnology Shahrood Iran Emals:

More information

Basic Polyhedral theory

Basic Polyhedral theory Basic Polyhdral thory Th st P = { A b} is calld a polyhdron. Lmma 1. Eithr th systm A = b, b 0, 0 has a solution or thr is a vctorπ such that π A 0, πb < 0 Thr cass, if solution in top row dos not ist

More information

OPTIMAL CONTROL OF VOLTERRA EQUATIONS WITH IMPULSES. S. A. Belbas W. H. Schmidt

OPTIMAL CONTROL OF VOLTERRA EQUATIONS WITH IMPULSES. S. A. Belbas W. H. Schmidt OPIMAL COROL OF VOLERRA EQUAIOS WIH IMPULSES S. A. Blba W. H. Schmdt Mathmatc Dpartmnt Inttut für Mathmat und Informat Unvrty of Alabama Unvrtät Grfwald Bo 8735 Jahntraß 5a ucalooa, AL. 35487-35. D-7487

More information

Folding of Regular CW-Complexes

Folding of Regular CW-Complexes Ald Mathmatcal Scncs, Vol. 6,, no. 83, 437-446 Foldng of Rgular CW-Comlxs E. M. El-Kholy and S N. Daoud,3. Dartmnt of Mathmatcs, Faculty of Scnc Tanta Unvrsty,Tanta,Egyt. Dartmnt of Mathmatcs, Faculty

More information

Lucas Test is based on Euler s theorem which states that if n is any integer and a is coprime to n, then a φ(n) 1modn.

Lucas Test is based on Euler s theorem which states that if n is any integer and a is coprime to n, then a φ(n) 1modn. Modul 10 Addtonal Topcs 10.1 Lctur 1 Prambl: Dtrmnng whthr a gvn ntgr s prm or compost s known as prmalty tstng. Thr ar prmalty tsts whch mrly tll us whthr a gvn ntgr s prm or not, wthout gvng us th factors

More information

[ ] 1+ lim G( s) 1+ s + s G s s G s Kacc SYSTEM PERFORMANCE. Since. Lecture 10: Steady-state Errors. Steady-state Errors. Then

[ ] 1+ lim G( s) 1+ s + s G s s G s Kacc SYSTEM PERFORMANCE. Since. Lecture 10: Steady-state Errors. Steady-state Errors. Then SYSTEM PERFORMANCE Lctur 0: Stady-tat Error Stady-tat Error Lctur 0: Stady-tat Error Dr.alyana Vluvolu Stady-tat rror can b found by applying th final valu thorm and i givn by lim ( t) lim E ( ) t 0 providd

More information

EE750 Advanced Engineering Electromagnetics Lecture 17

EE750 Advanced Engineering Electromagnetics Lecture 17 EE75 Avan Engnrng Eltromagnt Ltur 7 D EM W onr a D ffrntal quaton of th form α α β f ut to p on Γ α α. n γ q on Γ whr Γ Γ Γ th ontour nlong th oman an n th unt outwar normal ot that th ounar onton ma a

More information

Grand Canonical Ensemble

Grand Canonical Ensemble Th nsmbl of systms mmrsd n a partcl-hat rsrvor at constant tmpratur T, prssur P, and chmcal potntal. Consdr an nsmbl of M dntcal systms (M =,, 3,...M).. Thy ar mutually sharng th total numbr of partcls

More information

VISUALIZATION OF DIFFERENTIAL GEOMETRY UDC 514.7(045) : : Eberhard Malkowsky 1, Vesna Veličković 2

VISUALIZATION OF DIFFERENTIAL GEOMETRY UDC 514.7(045) : : Eberhard Malkowsky 1, Vesna Veličković 2 FACTA UNIVERSITATIS Srs: Mchancs, Automatc Control Robotcs Vol.3, N o, 00, pp. 7-33 VISUALIZATION OF DIFFERENTIAL GEOMETRY UDC 54.7(045)54.75.6:59.688:59.673 Ebrhard Malkowsky, Vsna Vlčkovć Dpartmnt of

More information

LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES

LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES TRANSFORMATION OF FUNCTION OF A RANDOM VARIABLE UNIVARIATE TRANSFORMATIONS TRANSFORMATION OF RANDOM VARIABLES If s a rv wth cdf F th Y=g s also a rv. If w wrt

More information

Section 6.1. Question: 2. Let H be a subgroup of a group G. Then H operates on G by left multiplication. Describe the orbits for this operation.

Section 6.1. Question: 2. Let H be a subgroup of a group G. Then H operates on G by left multiplication. Describe the orbits for this operation. MAT 444 H Barclo Spring 004 Homwork 6 Solutions Sction 6 Lt H b a subgroup of a group G Thn H oprats on G by lft multiplication Dscrib th orbits for this opration Th orbits of G ar th right costs of H

More information

Incorporating Subjective Characteristics in Product Design and Evaluations. Web Appendix

Incorporating Subjective Characteristics in Product Design and Evaluations. Web Appendix Incorporatng ubctv Charactrtc n Product Dgn and Evaluaton Lan Luo, P.K. Kannan, and Bran T. Ratchford Wb Appndx A. TEP I MARKOV CHAI MOTE CARLO IMULATIO Our MCMC procdur carrd out by quntally gnratng draw

More information

Journal of Theoretical and Applied Information Technology 10 th January Vol. 47 No JATIT & LLS. All rights reserved.

Journal of Theoretical and Applied Information Technology 10 th January Vol. 47 No JATIT & LLS. All rights reserved. Journal o Thortcal and Appld Inormaton Tchnology th January 3. Vol. 47 No. 5-3 JATIT & LLS. All rghts rsrvd. ISSN: 99-8645 www.att.org E-ISSN: 87-395 RESEARCH ON PROPERTIES OF E-PARTIAL DERIVATIVE OF LOGIC

More information

A NEW GENERALISATION OF SAM-SOLAI S MULTIVARIATE ADDITIVE GAMMA DISTRIBUTION*

A NEW GENERALISATION OF SAM-SOLAI S MULTIVARIATE ADDITIVE GAMMA DISTRIBUTION* A NEW GENERALISATION OF SAM-SOLAI S MULTIVARIATE ADDITIVE GAMMA DISTRIBUTION* Dr. G.S. Davd Sam Jayakumar, Assstant Profssor, Jamal Insttut of Managmnt, Jamal Mohamd Collg, Truchraall 620 020, South Inda,

More information

For more important questions visit :

For more important questions visit : For mor important qustions visit : www4onocom CHAPTER 5 CONTINUITY AND DIFFERENTIATION POINTS TO REMEMBER A function f() is said to b continuous at = c iff lim f f c c i, lim f lim f f c c c f() is continuous

More information

Linear Algebra. Definition The inverse of an n by n matrix A is an n by n matrix B where, Properties of Matrix Inverse. Minors and cofactors

Linear Algebra. Definition The inverse of an n by n matrix A is an n by n matrix B where, Properties of Matrix Inverse. Minors and cofactors Dfnton Th nvr of an n by n atrx A an n by n atrx B whr, Not: nar Algbra Matrx Invron atrc on t hav an nvr. If a atrx ha an nvr, thn t call. Proprt of Matrx Invr. If A an nvrtbl atrx thn t nvr unqu.. (A

More information

COHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim.

COHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim. MTH rviw part b Lucian Mitroiu Th LOG and EXP functions Th ponntial function p : R, dfind as Proprtis: lim > lim p Eponntial function Y 8 6 - -8-6 - - X Th natural logarithm function ln in US- log: function

More information

Math 656 March 10, 2011 Midterm Examination Solutions

Math 656 March 10, 2011 Midterm Examination Solutions Math 656 March 0, 0 Mdtrm Eamnaton Soltons (4pts Dr th prsson for snh (arcsnh sng th dfnton of snh w n trms of ponntals, and s t to fnd all als of snh (. Plot ths als as ponts n th compl plan. Mak sr or

More information

CIVL 8/ D Boundary Value Problems - Triangular Elements (T6) 1/8

CIVL 8/ D Boundary Value Problems - Triangular Elements (T6) 1/8 CIVL 8/7 -D Boundar Valu Problm - rangular Elmn () /8 SI-ODE RIAGULAR ELEMES () A quadracall nrpolad rangular lmn dfnd b nod, hr a h vrc and hr a h mddl a ach d. h mddl nod, dpndng on locaon, ma dfn a

More information

Review - Probabilistic Classification

Review - Probabilistic Classification Mmoral Unvrsty of wfoundland Pattrn Rcognton Lctur 8 May 5, 6 http://www.ngr.mun.ca/~charlsr Offc Hours: Tusdays Thursdays 8:3-9:3 PM E- (untl furthr notc) Gvn lablld sampls { ɛc,,,..., } {. Estmat Rvw

More information

COMPLEX NUMBER PAIRWISE COMPARISON AND COMPLEX NUMBER AHP

COMPLEX NUMBER PAIRWISE COMPARISON AND COMPLEX NUMBER AHP ISAHP 00, Bal, Indonsa, August -9, 00 COMPLEX NUMBER PAIRWISE COMPARISON AND COMPLEX NUMBER AHP Chkako MIYAKE, Kkch OHSAWA, Masahro KITO, and Masaak SHINOHARA Dpartmnt of Mathmatcal Informaton Engnrng

More information

SOME PARAMETERS ON EQUITABLE COLORING OF PRISM AND CIRCULANT GRAPH.

SOME PARAMETERS ON EQUITABLE COLORING OF PRISM AND CIRCULANT GRAPH. SOME PARAMETERS ON EQUITABLE COLORING OF PRISM AND CIRCULANT GRAPH. K VASUDEVAN, K. SWATHY AND K. MANIKANDAN 1 Dpartmnt of Mathmatics, Prsidncy Collg, Chnnai-05, India. E-Mail:vasu k dvan@yahoo.com. 2,

More information

Derangements and Applications

Derangements and Applications 2 3 47 6 23 Journal of Intgr Squncs, Vol. 6 (2003), Articl 03..2 Drangmnts and Applications Mhdi Hassani Dpartmnt of Mathmatics Institut for Advancd Studis in Basic Scincs Zanjan, Iran mhassani@iasbs.ac.ir

More information

The Hyperelastic material is examined in this section.

The Hyperelastic material is examined in this section. 4. Hyprlastcty h Hyprlastc matral s xad n ths scton. 4..1 Consttutv Equatons h rat of chang of ntrnal nrgy W pr unt rfrnc volum s gvn by th strss powr, whch can b xprssd n a numbr of dffrnt ways (s 3.7.6):

More information

10/7/14. Mixture Models. Comp 135 Introduction to Machine Learning and Data Mining. Maximum likelihood estimation. Mixture of Normals in 1D

10/7/14. Mixture Models. Comp 135 Introduction to Machine Learning and Data Mining. Maximum likelihood estimation. Mixture of Normals in 1D Comp 35 Introducton to Machn Larnng and Data Mnng Fall 204 rofssor: Ron Khardon Mxtur Modls Motvatd by soft k-mans w dvlopd a gnratv modl for clustrng. Assum thr ar k clustrs Clustrs ar not rqurd to hav

More information

Potential Games and the Inefficiency of Equilibrium

Potential Games and the Inefficiency of Equilibrium Optmzaton and Control o Ntork Potntal Gam and th Inny o Equlbrum Ljun Chn 3/8/216 Outln Potntal gam q Rv on tratg gam q Potntal gam atom and nonatom Inny o qulbrum q Th pr o anarhy and lh routng q Rour

More information

LINEAR SYSTEMS THEORY

LINEAR SYSTEMS THEORY Fall Introduton to Mdal Engnrng INEAR SYSTEMS THEORY Ho Kung Km Ph.D. houng@puan.a.r Shool of Mhanal Engnrng Puan Natonal Unvrt Evn / odd / prod funton Thn about on & n funton! Evn f - = ; Odd f - = -;

More information

COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES

COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES DEFINITION OF A COMPLEX NUMBER: A umbr of th form, whr = (, ad & ar ral umbrs s calld a compl umbr Th ral umbr, s calld ral part of whl s calld

More information

Self-Adjointness and Its Relationship to Quantum Mechanics. Ronald I. Frank 2016

Self-Adjointness and Its Relationship to Quantum Mechanics. Ronald I. Frank 2016 Ronald I. Frank 06 Adjoint https://n.wikipdia.org/wiki/adjoint In gnral thr is an oprator and a procss that dfin its adjoint *. It is thn slf-adjoint if *. Innr product spac https://n.wikipdia.org/wiki/innr_product_spac

More information

Economics 600: August, 2007 Dynamic Part: Problem Set 5. Problems on Differential Equations and Continuous Time Optimization

Economics 600: August, 2007 Dynamic Part: Problem Set 5. Problems on Differential Equations and Continuous Time Optimization THE UNIVERSITY OF MARYLAND COLLEGE PARK, MARYLAND Economcs 600: August, 007 Dynamc Part: Problm St 5 Problms on Dffrntal Equatons and Contnuous Tm Optmzaton Quston Solv th followng two dffrntal quatons.

More information

Physics 256: Lecture 2. Physics

Physics 256: Lecture 2. Physics Physcs 56: Lctur Intro to Quantum Physcs Agnda for Today Complx Numbrs Intrfrnc of lght Intrfrnc Two slt ntrfrnc Dffracton Sngl slt dffracton Physcs 01: Lctur 1, Pg 1 Constructv Intrfrnc Ths wll occur

More information

Supplementary Materials

Supplementary Materials 6 Supplmntary Matrials APPENDIX A PHYSICAL INTERPRETATION OF FUEL-RATE-SPEED FUNCTION A truck running on a road with grad/slop θ positiv if moving up and ngativ if moving down facs thr rsistancs: arodynamic

More information

Outlier-tolerant parameter estimation

Outlier-tolerant parameter estimation Outlr-tolrant paramtr stmaton Baysan thods n physcs statstcs machn larnng and sgnal procssng (SS 003 Frdrch Fraundorfr fraunfr@cg.tu-graz.ac.at Computr Graphcs and Vson Graz Unvrsty of Tchnology Outln

More information

Complex Numbers. Prepared by: Prof. Sunil Department of Mathematics NIT Hamirpur (HP)

Complex Numbers. Prepared by: Prof. Sunil Department of Mathematics NIT Hamirpur (HP) th Topc Compl Nmbrs Hyprbolc fctos ad Ivrs hyprbolc fctos, Rlato btw hyprbolc ad crclar fctos, Formla of hyprbolc fctos, Ivrs hyprbolc fctos Prpard by: Prof Sl Dpartmt of Mathmatcs NIT Hamrpr (HP) Hyprbolc

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by Dan Klain Vrsion 28928 Corrctions and commnts ar wlcom Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix () A A k I + A + k!

More information

Consider a system of 2 simultaneous first order linear equations

Consider a system of 2 simultaneous first order linear equations Soluon of sysms of frs ordr lnar quaons onsdr a sysm of smulanous frs ordr lnar quaons a b c d I has h alrna mar-vcor rprsnaon a b c d Or, n shorhand A, f A s alrady known from con W know ha h abov sysm

More information

3.4 Properties of the Stress Tensor

3.4 Properties of the Stress Tensor cto.4.4 Proprts of th trss sor.4. trss rasformato Lt th compots of th Cauchy strss tsor a coordat systm wth bas vctors b. h compots a scod coordat systm wth bas vctors j,, ar gv by th tsor trasformato

More information

EE 119 Homework 6 Solution

EE 119 Homework 6 Solution EE 9 Hmwrk 6 Slutin Prr: J Bkr TA: Xi Lu Slutin: (a) Th angular magniicatin a tlcp i m / th cal lngth th bjctiv ln i m 4 45 80cm (b) Th clar aprtur th xit pupil i 35 mm Th ditanc btwn th bjctiv ln and

More information

Thomas Whitham Sixth Form

Thomas Whitham Sixth Form Thomas Whitham Sith Form Pur Mathmatics Unit C Algbra Trigonomtr Gomtr Calculus Vctor gomtr Pag Algbra Molus functions graphs, quations an inqualitis Graph of f () Draw f () an rflct an part of th curv

More information

The Fourier Transform

The Fourier Transform /9/ Th ourr Transform Jan Baptst Josph ourr 768-83 Effcnt Data Rprsntaton Data can b rprsntd n many ways. Advantag usng an approprat rprsntaton. Eampls: osy ponts along a ln Color spac rd/grn/blu v.s.

More information

Combinatorial Networks Week 1, March 11-12

Combinatorial Networks Week 1, March 11-12 1 Nots on March 11 Combinatorial Ntwors W 1, March 11-1 11 Th Pigonhol Principl Th Pigonhol Principl If n objcts ar placd in hols, whr n >, thr xists a box with mor than on objcts 11 Thorm Givn a simpl

More information

Introduction to logistic regression

Introduction to logistic regression Itroducto to logstc rgrsso Gv: datast D { 2 2... } whr s a k-dmsoal vctor of ral-valud faturs or attrbuts ad s a bar class labl or targt. hus w ca sa that R k ad {0 }. For ampl f k 4 a datast of 3 data

More information

Jones vector & matrices

Jones vector & matrices Jons vctor & matrcs PY3 Colást na hollscol Corcagh, Ér Unvrst Collg Cork, Irland Dpartmnt of Phscs Matr tratmnt of polarzaton Consdr a lght ra wth an nstantanous -vctor as shown k, t ˆ k, t ˆ k t, o o

More information

A general N-dimensional vector consists of N values. They can be arranged as a column or a row and can be real or complex.

A general N-dimensional vector consists of N values. They can be arranged as a column or a row and can be real or complex. Lnr lgr Vctors gnrl -dmnsonl ctor conssts of lus h cn rrngd s column or row nd cn rl or compl Rcll -dmnsonl ctor cn rprsnt poston, loct, or cclrton Lt & k,, unt ctors long,, & rspctl nd lt k h th componnts

More information

with Dirichlet boundary conditions on the rectangle Ω = [0, 1] [0, 2]. Here,

with Dirichlet boundary conditions on the rectangle Ω = [0, 1] [0, 2]. Here, Numrical Eampl In thi final chaptr, w tart b illutrating om known rult in th thor and thn procd to giv a fw novl ampl. All ampl conidr th quation F(u) = u f(u) = g, (-) with Dirichlt boundar condition

More information

ANALYTICAL FUNCTIONAL FORM AND FITTING PROCEDURE

ANALYTICAL FUNCTIONAL FORM AND FITTING PROCEDURE Elctronc Supplmntary Matral (ESI) for Phycal Chmtry Chmcal Phyc. Th journal th Onr Soct 6 Supplmntary Informaton Ttl: at contant calculaton of th GH + OH/O GH + H O/HO racton ung an ab nto bad full-dmnonal

More information

Abstract Interpretation: concrete and abstract semantics

Abstract Interpretation: concrete and abstract semantics Abstract Intrprtation: concrt and abstract smantics Concrt smantics W considr a vry tiny languag that manags arithmtic oprations on intgrs valus. Th (concrt) smantics of th languags cab b dfind by th funzcion

More information

u 3 = u 3 (x 1, x 2, x 3 )

u 3 = u 3 (x 1, x 2, x 3 ) Lctur 23: Curvilinar Coordinats (RHB 8.0 It is oftn convnint to work with variabls othr than th Cartsian coordinats x i ( = x, y, z. For xampl in Lctur 5 w mt sphrical polar and cylindrical polar coordinats.

More information

On the irreducibility of some polynomials in two variables

On the irreducibility of some polynomials in two variables ACTA ARITHMETICA LXXXII.3 (1997) On th irrducibility of som polynomials in two variabls by B. Brindza and Á. Pintér (Dbrcn) To th mmory of Paul Erdős Lt f(x) and g(y ) b polynomials with intgral cofficints

More information

ON THE INTEGRAL INVARIANTS OF KINEMATICALLY GENERATED RULED SURFACES *

ON THE INTEGRAL INVARIANTS OF KINEMATICALLY GENERATED RULED SURFACES * Iranan Journal of Scnc & Tchnology Transacton A ol 9 No A Prntd n Th Islamc Rpublc of Iran 5 Shraz Unvrsty ON TH INTGRAL INARIANTS OF KINMATICALLY GNRATD RULD SURFACS H B KARADAG AND S KLS Dpartmnt of

More information

ANALYTICITY THEOREM FOR FRACTIONAL LAPLACE TRANSFORM

ANALYTICITY THEOREM FOR FRACTIONAL LAPLACE TRANSFORM Sc. Rs. hm. ommn.: (3, 0, 77-8 ISSN 77-669 ANALYTIITY THEOREM FOR FRATIONAL LAPLAE TRANSFORM P. R. DESHMUH * and A. S. GUDADHE a Prof. Ram Mgh Insttt of Tchnology & Rsarch, Badnra, AMRAVATI (M.S. INDIA

More information

ANALYSIS IN THE FREQUENCY DOMAIN

ANALYSIS IN THE FREQUENCY DOMAIN ANALYSIS IN THE FREQUENCY DOMAIN SPECTRAL DENSITY Dfinition Th spctral dnsit of a S.S.P. t also calld th spctrum of t is dfind as: + { γ }. jτ γ τ F τ τ In othr words, of th covarianc function. is dfind

More information

External Equivalent. EE 521 Analysis of Power Systems. Chen-Ching Liu, Boeing Distinguished Professor Washington State University

External Equivalent. EE 521 Analysis of Power Systems. Chen-Ching Liu, Boeing Distinguished Professor Washington State University xtrnal quvalnt 5 Analyss of Powr Systms Chn-Chng Lu, ong Dstngushd Profssor Washngton Stat Unvrsty XTRNAL UALNT ach powr systm (ara) s part of an ntrconnctd systm. Montorng dvcs ar nstalld and data ar

More information

Geometrization of Monte-Carlo numerical analysis of an elliptic operator: strong approximation

Geometrization of Monte-Carlo numerical analysis of an elliptic operator: strong approximation C. R. Acad. Sc. Pars, Sr. I 338 004 481 486 Probablty Thory Gomtrzaton of Mont-Carlo numrcal analyss of an llptc oprator: strong approxmaton Ana Bla Cruzro a, Paul Mallavn b, Anton Thalmar c a Grupo d

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by D. Klain Vrsion 207.0.05 Corrctions and commnts ar wlcom. Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix A A k I + A + k!

More information

MECH321 Dynamics of Engineering System Week 4 (Chapter 6)

MECH321 Dynamics of Engineering System Week 4 (Chapter 6) MH3 Dynamc of ngnrng Sytm Wk 4 (haptr 6). Bac lctrc crcut thor. Mathmatcal Modlng of Pav rcut 3. ompl mpdanc Approach 4. Mchancal lctrcal analogy 5. Modllng of Actv rcut: Opratonal Amplfr rcut Bac lctrc

More information

(1) Then we could wave our hands over this and it would become:

(1) Then we could wave our hands over this and it would become: MAT* K285 Spring 28 Anthony Bnoit 4/17/28 Wk 12: Laplac Tranform Rading: Kohlr & Johnon, Chaptr 5 to p. 35 HW: 5.1: 3, 7, 1*, 19 5.2: 1, 5*, 13*, 19, 45* 5.3: 1, 11*, 19 * Pla writ-up th problm natly and

More information

Chapter 6 Student Lecture Notes 6-1

Chapter 6 Student Lecture Notes 6-1 Chaptr 6 Studnt Lctur Nots 6-1 Chaptr Goals QM353: Busnss Statstcs Chaptr 6 Goodnss-of-Ft Tsts and Contngncy Analyss Aftr compltng ths chaptr, you should b abl to: Us th ch-squar goodnss-of-ft tst to dtrmn

More information

Outline. Types of Experimental Designs. Terminology. EEC 686/785 Modeling & Performance Evaluation of Computer Systems. Lecture 12

Outline. Types of Experimental Designs. Terminology. EEC 686/785 Modeling & Performance Evaluation of Computer Systems. Lecture 12 EEC 686/785 Modlng & Prformanc Evaluaton of Computr Sytm Lctur Outln Rvw of lctur r Factoral Dgn wth Rplcaton Dpartmnt of Elctrcal and Computr Engnrng Clvland Stat Unvrty wnbng@.org (bad on Dr. Ra Jan

More information

Calculus Revision A2 Level

Calculus Revision A2 Level alculus Rvision A Lvl Tabl of drivativs a n sin cos tan d an sc n cos sin Fro AS * NB sc cos sc cos hain rul othrwis known as th function of a function or coposit rul. d d Eapl (i) (ii) Obtain th drivativ

More information

cycle that does not cross any edges (including its own), then it has at least

cycle that does not cross any edges (including its own), then it has at least W prov th following thorm: Thorm If a K n is drawn in th plan in such a way that it has a hamiltonian cycl that dos not cross any dgs (including its own, thn it has at last n ( 4 48 π + O(n crossings Th

More information

Math Tricks. Basic Probability. x k. (Combination - number of ways to group r of n objects, order not important) (a is constant, 0 < r < 1)

Math Tricks. Basic Probability. x k. (Combination - number of ways to group r of n objects, order not important) (a is constant, 0 < r < 1) Math Trcks r! Combato - umbr o was to group r o objcts, ordr ot mportat r! r! ar 0 a r a s costat, 0 < r < k k! k 0 EX E[XX-] + EX Basc Probablt 0 or d Pr[X > ] - Pr[X ] Pr[ X ] Pr[X ] - Pr[X ] Proprts

More information

Decision-making with Distance-based Operators in Fuzzy Logic Control

Decision-making with Distance-based Operators in Fuzzy Logic Control Dcson-makng wth Dstanc-basd Oprators n Fuzzy Logc Control Márta Takács Polytchncal Engnrng Collg, Subotca 24000 Subotca, Marka Orškovća 16., Yugoslava marta@vts.su.ac.yu Abstract: Th norms and conorms

More information

ECE Spring Prof. David R. Jackson ECE Dept. Notes 6

ECE Spring Prof. David R. Jackson ECE Dept. Notes 6 ECE 6345 Spring 2015 Prof. David R. Jackon ECE Dpt. Not 6 1 Ovrviw In thi t of not w look at two diffrnt modl for calculating th radiation pattrn of a microtrip antnna: Elctric currnt modl Magntic currnt

More information

Lecture 3: Phasor notation, Transfer Functions. Context

Lecture 3: Phasor notation, Transfer Functions. Context EECS 5 Fall 4, ctur 3 ctur 3: Phasor notaton, Transfr Functons EECS 5 Fall 3, ctur 3 Contxt In th last lctur, w dscussd: how to convrt a lnar crcut nto a st of dffrntal quatons, How to convrt th st of

More information

International Journal of Scientific & Engineering Research, Volume 6, Issue 7, July ISSN

International Journal of Scientific & Engineering Research, Volume 6, Issue 7, July ISSN Intrnational Journal of Scintific & Enginring Rsarch, Volum 6, Issu 7, July-25 64 ISSN 2229-558 HARATERISTIS OF EDGE UTSET MATRIX OF PETERSON GRAPH WITH ALGEBRAI GRAPH THEORY Dr. G. Nirmala M. Murugan

More information

A Probabilistic Characterization of Simulation Model Uncertainties

A Probabilistic Characterization of Simulation Model Uncertainties A Proalstc Charactrzaton of Sulaton Modl Uncrtants Vctor Ontvros Mohaad Modarrs Cntr for Rsk and Rlalty Unvrsty of Maryland 1 Introducton Thr s uncrtanty n odl prdctons as wll as uncrtanty n xprnts Th

More information

Root Locus Techniques

Root Locus Techniques Root Locu Technque ELEC 32 Cloed-Loop Control The control nput u t ynthezed baed on the a pror knowledge of the ytem plant, the reference nput r t, and the error gnal, e t The control ytem meaure the output,

More information

Hardy-Littlewood Conjecture and Exceptional real Zero. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R.

Hardy-Littlewood Conjecture and Exceptional real Zero. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R. Hardy-Littlwood Conjctur and Excptional ral Zro JinHua Fi ChangLing Company of Elctronic Tchnology Baoji Shannxi P.R.China E-mail: fijinhuayoujian@msn.com Abstract. In this papr, w assum that Hardy-Littlwood

More information

Mutually Independent Hamiltonian Cycles of Pancake Networks

Mutually Independent Hamiltonian Cycles of Pancake Networks Mutually Indpndnt Hamiltonian Cycls of Pancak Ntworks Chng-Kuan Lin Dpartmnt of Mathmatics National Cntral Univrsity, Chung-Li, Taiwan 00, R O C discipl@ms0urlcomtw Hua-Min Huang Dpartmnt of Mathmatics

More information

PROOF OF FIRST STANDARD FORM OF NONELEMENTARY FUNCTIONS

PROOF OF FIRST STANDARD FORM OF NONELEMENTARY FUNCTIONS Intrnational Journal Of Advanc Rsarch In Scinc And Enginring http://www.ijars.com IJARSE, Vol. No., Issu No., Fbruary, 013 ISSN-319-8354(E) PROOF OF FIRST STANDARD FORM OF NONELEMENTARY FUNCTIONS 1 Dharmndra

More information

Period vs. Length of a Pendulum

Period vs. Length of a Pendulum Gaphcal Mtho n Phc Gaph Intptaton an Lnazaton Pat 1: Gaphng Tchnqu In Phc w u a vat of tool nclung wo, quaton, an gaph to mak mol of th moton of objct an th ntacton btwn objct n a tm. Gaph a on of th bt

More information

arxiv: v1 [math.pr] 28 Jan 2019

arxiv: v1 [math.pr] 28 Jan 2019 CRAMÉR-TYPE MODERATE DEVIATION OF NORMAL APPROXIMATION FOR EXCHANGEABLE PAIRS arxv:190109526v1 [mathpr] 28 Jan 2019 ZHUO-SONG ZHANG Abstract In Stn s mthod, an xchangabl par approach s commonly usd to

More information

MP IN BLOCK QUASI-INCOHERENT DICTIONARIES

MP IN BLOCK QUASI-INCOHERENT DICTIONARIES CHOOL O ENGINEERING - TI IGNAL PROCEING INTITUTE Lornzo Potta and Prr Vandrghynst CH-1015 LAUANNE Tlphon: 4121 6932601 Tlfax: 4121 6937600 -mal: lornzo.potta@pfl.ch ÉCOLE POLYTECHNIQUE ÉDÉRALE DE LAUANNE

More information

Aotomorphic Functions And Fermat s Last Theorem(4)

Aotomorphic Functions And Fermat s Last Theorem(4) otomorphc Fuctos d Frmat s Last Thorm(4) Chu-Xua Jag P. O. Box 94 Bg 00854 P. R. Cha agchuxua@sohu.com bsract 67 Frmat wrot: It s mpossbl to sparat a cub to two cubs or a bquadrat to two bquadrats or gral

More information

Deift/Zhou Steepest descent, Part I

Deift/Zhou Steepest descent, Part I Lctur 9 Dift/Zhou Stpst dscnt, Part I W now focus on th cas of orthogonal polynomials for th wight w(x) = NV (x), V (x) = t x2 2 + x4 4. Sinc th wight dpnds on th paramtr N N w will writ π n,n, a n,n,

More information

International Journal of Mathematical Archive-5(1), 2014, Available online through ISSN

International Journal of Mathematical Archive-5(1), 2014, Available online through   ISSN ntrnational Journal of Mathmatical rchiv-51 2014 263-272 vailabl onlin through www.ijma.info SSN 2229 5046 ON -CU UZZY NEUROSOPHC SO SES. rockiarani* &. R. Sumathi* *Dpartmnt of Mathmatics Nirmala Collg

More information

Lecture 1: Empirical economic relations

Lecture 1: Empirical economic relations Ecoomcs 53 Lctur : Emprcal coomc rlatos What s coomtrcs? Ecoomtrcs s masurmt of coomc rlatos. W d to kow What s a coomc rlato? How do w masur such a rlato? Dfto: A coomc rlato s a rlato btw coomc varabls.

More information

Higher order derivatives

Higher order derivatives Robrto s Nots on Diffrntial Calculus Chaptr 4: Basic diffrntiation ruls Sction 7 Highr ordr drivativs What you nd to know alrady: Basic diffrntiation ruls. What you can larn hr: How to rpat th procss of

More information

Cramér-Rao Inequality: Let f(x; θ) be a probability density function with continuous parameter

Cramér-Rao Inequality: Let f(x; θ) be a probability density function with continuous parameter WHEN THE CRAMÉR-RAO INEQUALITY PROVIDES NO INFORMATION STEVEN J. MILLER Abstract. W invstigat a on-paramtr family of probability dnsitis (rlatd to th Parto distribution, which dscribs many natural phnomna)

More information

Analyzing Frequencies

Analyzing Frequencies Frquncy (# ndvduals) Frquncy (# ndvduals) /3/16 H o : No dffrnc n obsrvd sz frquncs and that prdctd by growth modl How would you analyz ths data? 15 Obsrvd Numbr 15 Expctd Numbr from growth modl 1 1 5

More information

MA1506 Tutorial 2 Solutions. Question 1. (1a) 1 ) y x. e x. 1 exp (in general, Integrating factor is. ye dx. So ) (1b) e e. e c.

MA1506 Tutorial 2 Solutions. Question 1. (1a) 1 ) y x. e x. 1 exp (in general, Integrating factor is. ye dx. So ) (1b) e e. e c. MA56 utorial Solutions Qustion a Intgrating fator is ln p p in gnral, multipl b p So b ln p p sin his kin is all a Brnoulli quation -- st Sin w fin Y, Y Y, Y Y p Qustion Dfin v / hn our quation is v μ

More information

Summary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns

Summary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns Summary: Solvng a Homognous Sysm of Two Lnar Frs Ordr Equaons n Two Unknowns Gvn: A Frs fnd h wo gnvalus, r, and hr rspcv corrspondng gnvcors, k, of h coffcn mar A Dpndng on h gnvalus and gnvcors, h gnral

More information

Lecture 4: Parsing. Administrivia

Lecture 4: Parsing. Administrivia Adminitrivia Lctur 4: Paring If you do not hav a group, pla pot a rqut on Piazzza ( th Form projct tam... itm. B ur to updat your pot if you find on. W will aign orphan to group randomly in a fw day. Programming

More information

Source code. where each α ij is a terminal or nonterminal symbol. We say that. α 1 α m 1 Bα m+1 α n α 1 α m 1 β 1 β p α m+1 α n

Source code. where each α ij is a terminal or nonterminal symbol. We say that. α 1 α m 1 Bα m+1 α n α 1 α m 1 β 1 β p α m+1 α n Adminitrivia Lctur : Paring If you do not hav a group, pla pot a rqut on Piazzza ( th Form projct tam... itm. B ur to updat your pot if you find on. W will aign orphan to group randomly in a fw day. Programming

More information

JEE-2017 : Advanced Paper 2 Answers and Explanations

JEE-2017 : Advanced Paper 2 Answers and Explanations DE 9 JEE-07 : Advancd Papr Answrs and Explanatons Physcs hmstry Mathmatcs 0 A, B, 9 A 8 B, 7 B 6 B, D B 0 D 9, D 8 D 7 A, B, D A 0 A,, D 9 8 * A A, B A B, D 0 B 9 A, D 5 D A, B A,B,,D A 50 A, 6 5 A D B

More information

CHAPTER X PHASE-CHANGE PROBLEMS

CHAPTER X PHASE-CHANGE PROBLEMS Chapter X Phae-Change Problem December 3, 18 917 CHAPER X PHASE-CHANGE PROBLEMS X.1 Introducton Clacal Stefan Problem Geometry of Phae Change Problem Interface Condton X. Analytcal Soluton for Soldfcaton

More information

te Finance (4th Edition), July 2017.

te Finance (4th Edition), July 2017. Appndx Chaptr. Tchncal Background Gnral Mathmatcal and Statstcal Background Fndng a bas: 3 2 = 9 3 = 9 1 /2 x a = b x = b 1/a A powr of 1 / 2 s also quvalnt to th squar root opraton. Fndng an xponnt: 3

More information

Reliability of time dependent stress-strength system for various distributions

Reliability of time dependent stress-strength system for various distributions IOS Joural of Mathmatcs (IOS-JM ISSN: 78-578. Volum 3, Issu 6 (Sp-Oct., PP -7 www.osrjourals.org lablty of tm dpdt strss-strgth systm for varous dstrbutos N.Swath, T.S.Uma Mahswar,, Dpartmt of Mathmatcs,

More information

ON EISENSTEIN-DUMAS AND GENERALIZED SCHÖNEMANN POLYNOMIALS

ON EISENSTEIN-DUMAS AND GENERALIZED SCHÖNEMANN POLYNOMIALS ON EISENSTEIN-DUMAS AND GENERALIZED SCHÖNEMANN POLYNOMIALS Anuj Bshno and Sudsh K. Khanduja Dpartmnt of Mathmatcs, Panjab Unvrsty, Chandgarh-160014, Inda. E-mal: anuj.bshn@gmal.com, skhand@pu.ac.n ABSTRACT.

More information

Network Congestion Games

Network Congestion Games Ntwork Congstion Gams Assistant Profssor Tas A&M Univrsity Collg Station, TX TX Dallas Collg Station Austin Houston Bst rout dpnds on othrs Ntwork Congstion Gams Travl tim incrass with congstion Highway

More information

Correlation in tree The (ferromagnetic) Ising model

Correlation in tree The (ferromagnetic) Ising model 5/3/00 :\ jh\slf\nots.oc\7 Chaptr 7 Blf propagato corrlato tr Corrlato tr Th (frromagtc) Isg mol Th Isg mol s a graphcal mol or par ws raom Markov fl cosstg of a urct graph wth varabls assocat wth th vrtcs.

More information

SCRIBE: JAKE LEVINSON

SCRIBE: JAKE LEVINSON GL n REPRESENTATION THEORY NOTES FOR 12-03 SCRIBE: JAKE LEVINSON As th th last lctur, ths on s basd on John Stmbrdg s papr: A local charactrzaton of smpl-lacd crstals, Trans. Amr. Math. Soc. 355 (2003),

More information