HERMITE SERIES SOLUTIONS OF LINEAR FREDHOLM INTEGRAL EQUATIONS
|
|
- Bruce Wade
- 5 years ago
- Views:
Transcription
1 Mhemcl nd Compuonl Applcons, Vol 6, o, pp 97-56, Assocon fo Scenfc Resech ERMITE SERIES SOLUTIOS OF LIEAR FREDOLM ITEGRAL EQUATIOS Slh Ylçınbş nd Müge Angül Depmen of Mhemcs, Fcul of Scence nd As, Cell B Unves, 57 Mude, Mns, Tuke slcn@fefsduedu mugengul@bedu Absc- A m mehod fo ppomel solvng lne Fedholm negl equons of he second knd s pesened The soluon nvolves unced eme sees ppomon The mehod s bsed on fs kng he unced eme sees epnsons of he funcons n equon nd hen subsung he m foms no he equon Theeb he equon educes o m equon, whch coesponds o lne ssem of lgebc equons wh unknown eme coeffcens In ddon, some equons consdeed b ohe uhos e solved n ems of eme polnomls nd he esuls e comped Kewods- eme sees, Lne Fedholm negl equons ITRODUCTIO Fedholm negl equons e wdel used fo modellng nd foecsng n lmos ll es of scence nd engneeng Fedholm negl equons e usull dffcul o solve nlcll so s equed o obn n effcen ppome soluon As we know, much wok hs been done on developng nd nlzng numecl mehods fo solvng lne Fedholm negl equons [--] One of he ohogonl polnomls s eme polnomls,,,, whch e ohogonl on,, so eme polnomls hve compson dvnges wh ohe ohogonl polnomls The subjec of he pesened ppe s o ppl he eme mehod fo solvng lne Fedholm negl equons In hs ppe, we consde he Fedholm negl equons of he second knd f K, d whee s he funcon o be deemned The consn, he kenel funcon K, nd he funcon f e gven We ssume h he neesed domn of he vbles s, The soluon of Eq s epessed s he unced eme sees whee whee s he eme polnoml of degee [6], o n he m fom [ ] A
2 98 S Ylçınbş nd M Angül nd,,,, [ A [ ] T e coeffcens o be deemned ] METOD FOR SOLUTIO To obn he soluon of Eq n he fom of epesson we cn fs deduce he followng m ppomons coespondng o he eme sees epnsons of he funcons f, K, nd Le he funcon f be ppomed b unced eme sees f f Then we cn pu sees n he m fom [ f ] F 5 whee T F [ f f f ] We now consde he kenel funcon K, If he funcon K, cn be ppomed b double eme sees of degee n boh nd of he fom [,7] s K, k 6, s s hen we cn pu sees 6 n he m fom [ K, ] K T whee ] 7 [ k k k k k k K k k k On he ohe hnd, fo he unknown funcon n negnd, we we fom epessons nd [ ] A 8 Subsung he m foms, 5, 7 nd 8 coespondng o he funcons, f, K, nd, especvel, no Eq, nd hen smplfng he esul equon, we hve he m equon o befl whee A F K T da I KQ A F 9
3 eme Sees Soluons of Lne Fedholm Inegl Equons 99 T Q d [ qs ],, s,,, nd I s he un m; he elemens of he fed m Q e sml b [,] In Eq 9, f D I KQ we ge q s s d A I KQ F, Thus he unknown coeffcens,,,, e unquel deemned b equon nd heeb he negl Eq hs unque soluon Ths soluon s gven b he unced eme sees ACCURACY OF SOLUTIO We cn esl check he ccuc of he mehod Snce he unced eme sees n s n ppome soluon of Eq, mus be ppomel ssfed hs equon, o If Then fo ech E E f K, d k k s n posve nege m k k k s n posve nege s pescbed, hen he uncon lm s ncesed unl he dffeence E ech k of he pons becomes smlle hn he pescbed On he ohe hnd, he eo funcon cn be esmed b f E K, d [6] UMERICAL ILLUSTRATIOS We show he effcenc of he pesened mehod usng he followng emples Emple Le us fs consde he lne Fedholm negl equon [,] nd seek he soluon so h d n eme sees f K,
4 S Ylçınbş nd M Angül 5 B usng he epnsons fo he powes n ems of he eme polnomls [6], we esl fnd he epesenons f nd 6 8 8, K nd hence, fom elons 5 nd 7, he mces / / F, 8 K If we use epesson fo,,, s, we obn he fed m 56 /5 8/ Q e, we subsue hese mces no Eq nd hen smplf o obn / / 9 / 5/8 9 / 9 / The soluon of hs equon s 6 5 / /8 B subsung he obned coeffcens n he soluon of becomes o whch s he ec soluon Emple We cn sud he followng lne Fedholm negl equon [5,8] 5 9 d If we use epesson fo,,, s, we obn Q m e subsue hese mces n Eq nd hen smpl obn whch s he ec soluon Emple Le us now consde [] d e e
5 eme Sees Soluons of Lne Fedholm Inegl Equons 5 The compson of soluons fo 7 wh ec soluon nd Fgue e s gven n Tble Tble Compng he soluons nd eo nlss whch hs been found fo 7 Emple Pesen mehod : eme Mehod Ec Soluon e E E E E E- 8 8 E- 8 6 E-5 6 E E E- 979 E E E E E E E- 587 E E E E E E E E- 6 8 E- E- 55 E E E- 557 E E E- 957 E E E E E E E E E E- 789 E-5 eme Mehod E Emple We consde he poblem =7 =8 =9 = Fgue The bsolue eos of Emple fo 7 We gve numecl nlss fo 7 e e d n Tble nd Fgue Emple 5 Le us consde he Fedholm negl equon of second knd The esuls obned fo e e d wh vous vlues e pesened n Tble
6 5 S Ylçınbş nd M Angül Tble Compng he soluons nd eo nlss whch hs been found fo 7 Emple Ec Soluon e Pesen mehod : eme Mehod E E E E E E E E E-6 9 E E E E E E E E E-7 67 E E E E E E-9 5 E E-7 E E E-5 7 E-7 E-7 6 E E E-7 98 E E E E-7 8 E E E-6 55 E E E E E E E-8 Tble Ec, ppome soluon nd eo nlss of Emple 5 fo he vlues Pesen mehod : eme Mehod Ec Soluon 8 9 e E E E E- 5 E E E-5 65 E E E E-5 88 E E- 669 E E E- E- 7 7 E E E E E- 9 E- 9 7 E E- 589 E E E- 67 E E E- 888 E E E- E E E- 5 E- 8 7 E E- 99 E E E- 8 E- 8 7 E E- 565 E E E- 789 E E E- E- 9 8 E E- 55 E E E E-5 95 E E E E E E E-5
7 eme Sees Soluons of Lne Fedholm Inegl Equons 5 eme Mehod 5 E =7 =8 =9 = Fgue The bsolue eos of Emple fo 7 Emple 6 Consde he followng he negl equon [] d e e We gve numecl nlss fo vous vlues n Tble nd Fgue eme Mehod E =7 =8 =9 = Fgue The bsolue eos of he soluons b usng he pesen mehod fo dffeen vlues of
8 5 S Ylçınbş nd M Angül Tble Compng he soluons nd eo nlss whch hs been found fo 7 Emple 6 Pesen mehod : eme Mehod Ec Soluon e E E E E 8 E-5 8 E-6 6 E-7 E E-5 57 E-6 57 E E E-5 8 E-6 5 E-7 9 E E E E E E E-6 98 E E E E E E E E E E E E E E E E E E E E E E E E E E-8 Emple 7 Ou ls emple s he negl equon [] 5 e e d We gve numecl nlss fo vous vlues n Tble 5 nd Fgue Ec Soluon BPF Mehod TF Mehod Legende Mehod =8 eme Mehod =8 Fgue The gphcs of he Ec Soluon, BPF mehod, TF Mehod, Legende Mehod nd Pesen mehod clculed fo he vlues of he nevl [,]
9 eme Sees Soluons of Lne Fedholm Inegl Equons 55 Tble 5 Eo nlss of Emple 7 fo he vlues nd compson of pesen mehod, ec nd he mehods n [] 6,7,8 Pesen mehod :eme Mehod Ec Soluon e E E E E- 5 5 E E-5 7 E- 7 E- 7 E E- 9 7 E E E E E E E E E E E E- 8 7 E- E E E E- 9 E E E- 69 E E E E E E- Legende Mehod n [] BPF Mehod n [] Block Pulse Fnc 8 m TF Mehod n [] Tngul Fnc COCLUSIOS AD DISCUSSIOS In hs ppe, he usefulness of he mehod pesened fo he ppome soluon of Fedholm negl equon s demonsed To show he ccuc of he mehod, fve negl equons e chosen A consdeble dvnge of he mehod s h he soluon s epessed s unced eme sees Ths mens h, fe clculon of he eme coeffcens, he soluon cn be esl evlued fo b vlues of low compuon effo If he funcons f nd K, cn be epnded o he eme sees n,, hen hee ess he soluon ; ohewse, he mehod cnno be used n On he ohe hnd, would ppe h ou mehod shows o bes dvnge when he known funcons f nd K, hve Tlo sees bou he ogn whch convege pdl To ge he bes ppomng soluon of he equon, we mus ke moe ems fom he eme epnsons of funcons,
10 56 S Ylçınbş nd M Angül especll when he convege slowl Befl, fo compuonl effcenc, he uncon lm mus be chosen suffcenl lge 6 REFERECES L Fo, I Pke, Chebshev polnomls n umecl Anlss, Clendon Pess, Ofod, 968 M Seze, S Dogn, Chebshev sees soluons of Fedholm negl equons, In J Mh Educ Sc Technol, 7, 5, , 996 R P Knwl, nd K C Lu, A Tlo epnson ppoch fo solvng negl equons, In J Mh Educ Sc Technol,, -, 989 E Bboln, R Mzbn, M Slmn, Usng ngul ohogonl funcons fo solvng Fedholm negl equons of he second knd, App Mh nd Compu,, 5 6, 8 5 R Fnoosh, M Ebhm, Mone Clo mehod fo solvng Fedholm negl equons of he second knd, App Mh nd Compu, 95, 9 5, 8 6 S Ylçınbş, M Seze, Sokun, Legende polnoml soluons of hgh-ode lne Fedholm nego-dffeenl equons, App Mh nd Compu,,, - 9, 9 7 K Bsu, SIAM J ume Anl,, 96-55, 97 8 K Mleknejd, M Km, Usng he WPG mehod fo solvng negl equons of he second knd, App Mh nd Compu, 66,, 5 9 K Mleknejd, Y Mhmoud, umecl soluon of lne Fedholm negl equon b usng hbd Tlo nd Block-Pulse funcons, App Mh nd Compu, 9, , S Ylçınbş, M Angül, T Akk, Legende sees soluons of Fedholm negl equons, Mh nd Compu App, 5,, 7-8, S Ylçınbş, T Akk, M Angül,, Lguee sees soluons of Fedholm negl equons, Eces Unves Jounl of Scence nd Technolog, 6,, -,
Rotations.
oons j.lbb@phscs.o.c.uk To s summ Fmes of efeence Invnce une nsfomons oon of wve funcon: -funcons Eule s ngles Emple: e e - - Angul momenum s oon geneo Genec nslons n Noehe s heoem Fmes of efeence Conse
More informationChebyshev Polynomial Solution of Nonlinear Fredholm-Volterra Integro- Differential Equations
Çny Ünvee Fen-Edeby Füle Jounl of A nd Scence Sy : 5 y 6 Chebyhev Polynol Soluon of onlne Fedhol-Vole Inego- Dffeenl Equon Hndn ÇERDİK-YASA nd Ayşegül AKYÜZ-DAŞCIOĞU Abc In h ppe Chebyhev collocon ehod
More informationGo over vector and vector algebra Displacement and position in 2-D Average and instantaneous velocity in 2-D Average and instantaneous acceleration
Mh Csquee Go oe eco nd eco lgeb Dsplcemen nd poson n -D Aege nd nsnneous eloc n -D Aege nd nsnneous cceleon n -D Poecle moon Unfom ccle moon Rele eloc* The componens e he legs of he gh ngle whose hpoenuse
More information5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( )
5-1. We apply Newon s second law (specfcally, Eq. 5-). (a) We fnd he componen of he foce s ( ) ( ) F = ma = ma cos 0.0 = 1.00kg.00m/s cos 0.0 = 1.88N. (b) The y componen of he foce s ( ) ( ) F = ma = ma
More informationCalculation of Thermal Neutron Flux in Two. Dimensional Structures with Periodic Moderators
Apple Mhemcl Scences Vol. 8 no. 9 99-98 Clculon of Theml Neuon Flu n Two mensonl Sucues wh Peoc Moeos S. N. Hossenmolgh S. A. Agh L. Monzen S. Bsn In Unvesy of Scence n Technology Tehn In epmen of Nucle
More informationFast Algorithm for Walsh Hadamard Transform on Sliding Windows
Fs Algohm fo Wlsh Hdmd Tnsfom on Sldng Wndows Wnl Oung W.K. Chm Asc Ths ppe poposes fs lgohm fo Wlsh Hdmd Tnsfom on sldng wndows whch cn e used o mplemen pen mchng mos effcenl. The compuonl equemen of
More informationSIMPLIFIED ROTATING TIRE MODELS BASED ON CYLINDRICAL SHELLS WITH FREE BOUNDARY CONDITIONS
F1-NVH-8 SIMPLIFIED ROTATING TIRE MODELS BASED ON CYLINDRICAL SHELLS WITH FREE BOUNDARY CONDITIONS 1 Alujevc Neven * ; Cmpllo-Dvo Nu; 3 Knd Pee; 1 Pluymes Be; 1 Ss Pul; 1 Desme Wm; 1 KU Leuven PMA Dvson
More informationChapter 4: Motion in Two Dimensions Part-1
Lecue 4: Moon n Two Dmensons Chpe 4: Moon n Two Dmensons P- In hs lesson we wll dscuss moon n wo dmensons. In wo dmensons, s necess o use eco noon o descbe phscl qunes wh boh mnude nd decon. In hs chpe,
More informationAvailable online Journal of Scientific and Engineering Research, 2017, 4(2): Research Article
Avlble onlne www.jse.com Jonl of Scenfc nd Engneeng Resech, 7, 4():5- Resech Acle SSN: 394-63 CODEN(USA): JSERBR Exc Solons of Qselsc Poblems of Lne Theoy of Vscoelscy nd Nonlne Theoy Vscoelscy fo echnclly
More informationChapter I Vector Analysis
. Chpte I Vecto nlss . Vecto lgeb j It s well-nown tht n vecto cn be wtten s Vectos obe the followng lgebc ules: scl s ) ( j v v cos ) ( e Commuttv ) ( ssoctve C C ) ( ) ( v j ) ( ) ( ) ( ) ( (v) he lw
More informationLecture 5 Single factor design and analysis
Lectue 5 Sngle fcto desgn nd nlss Completel ndomzed desgn (CRD Completel ndomzed desgn In the desgn of expements, completel ndomzed desgns e fo studng the effects of one pm fcto wthout the need to tke
More information1 Constant Real Rate C 1
Consan Real Rae. Real Rae of Inees Suppose you ae equally happy wh uns of he consumpon good oday o 5 uns of he consumpon good n peod s me. C 5 Tha means you ll be pepaed o gve up uns oday n eun fo 5 uns
More informationChapter 6 Plane Motion of Rigid Bodies
Chpe 6 Pne oon of Rd ode 6. Equon of oon fo Rd bod. 6., 6., 6.3 Conde d bod ced upon b ee een foce,, 3,. We cn ume h he bod mde of e numbe n of pce of m Δm (,,, n). Conden f he moon of he m cene of he
More informationCHAPTER 10: LINEAR DISCRIMINATION
HAPER : LINEAR DISRIMINAION Dscmnan-based lassfcaon 3 In classfcaon h K classes ( k ) We defned dsmnan funcon g () = K hen gven an es eample e chose (pedced) s class label as f g () as he mamum among g
More informationName of the Student:
Engneeng Mahemacs 05 SUBJEC NAME : Pobably & Random Pocess SUBJEC CODE : MA645 MAERIAL NAME : Fomula Maeal MAERIAL CODE : JM08AM007 REGULAION : R03 UPDAED ON : Febuay 05 (Scan he above QR code fo he dec
More informationChapter Finite Difference Method for Ordinary Differential Equations
Chape 8.7 Fne Dffeence Mehod fo Odnay Dffeenal Eqaons Afe eadng hs chape, yo shold be able o. Undesand wha he fne dffeence mehod s and how o se o solve poblems. Wha s he fne dffeence mehod? The fne dffeence
More informationCalculus 241, section 12.2 Limits/Continuity & 12.3 Derivatives/Integrals notes by Tim Pilachowski r r r =, with a domain of real ( )
Clculu 4, econ Lm/Connuy & Devve/Inel noe y Tm Plchow, wh domn o el Wh we hve o : veco-vlued uncon, ( ) ( ) ( ) j ( ) nume nd ne o veco The uncon, nd A w done wh eul uncon ( x) nd connuy e he componen
More informationf(x) dx with An integral having either an infinite limit of integration or an unbounded integrand is called improper. Here are two examples dx x x 2
Impope Inegls To his poin we hve only consideed inegls f() wih he is of inegion nd b finie nd he inegnd f() bounded (nd in fc coninuous ecep possibly fo finiely mny jump disconinuiies) An inegl hving eihe
More informationThe Shape of the Pair Distribution Function.
The Shpe of the P Dstbuton Functon. Vlentn Levshov nd.f. Thope Deptment of Phscs & stonom nd Cente fo Fundmentl tels Resech chgn Stte Unvest Sgnfcnt pogess n hgh-esoluton dffcton epements on powde smples
More informationTHE EXISTENCE OF SOLUTIONS FOR A CLASS OF IMPULSIVE FRACTIONAL Q-DIFFERENCE EQUATIONS
Europen Journl of Mhemcs nd Compuer Scence Vol 4 No, 7 SSN 59-995 THE EXSTENCE OF SOLUTONS FOR A CLASS OF MPULSVE FRACTONAL Q-DFFERENCE EQUATONS Shuyun Wn, Yu Tng, Q GE Deprmen of Mhemcs, Ynbn Unversy,
More informationHeat conduction in a composite sphere - the effect of fractional derivative order on temperature distribution
MATEC We of Confeence 57, 88 (8) MMS 7 hp://do.og/.5/mecconf/85788 He conducon n compoe phee - he effec of fconl devve ode on empeue duon Uzul Sedlec,*, Snłw Kul Inue of Mhemc, Czeochow Unvey of Technology,
More informationScienceDirect. Behavior of Integral Curves of the Quasilinear Second Order Differential Equations. Alma Omerspahic *
Avalable onlne a wwwscencedeccom ScenceDec oceda Engneeng 69 4 85 86 4h DAAAM Inenaonal Smposum on Inellgen Manufacung and Auomaon Behavo of Inegal Cuves of he uaslnea Second Ode Dffeenal Equaons Alma
More informationII The Z Transform. Topics to be covered. 1. Introduction. 2. The Z transform. 3. Z transforms of elementary functions
II The Z Trnsfor Tocs o e covered. Inroducon. The Z rnsfor 3. Z rnsfors of eleenry funcons 4. Proeres nd Theory of rnsfor 5. The nverse rnsfor 6. Z rnsfor for solvng dfference equons II. Inroducon The
More informationNumerical Analysis of Freeway Traffic Flow Dynamics under Multiclass Drivers
Zuojn Zhu, Gng-len Chng nd Tongqng Wu Numecl Anlyss of Feewy Tffc Flow Dynmcs unde Mulclss Dves Zuojn Zhu, Gng-len Chng nd Tongqng Wu Depmen of Theml Scence nd Enegy Engneeng, Unvesy of Scence nd Technology
More informationParameter Estimation and Hypothesis Testing of Two Negative Binomial Distribution Population with Missing Data
Avlble ole wwwsceceeccom Physcs Poce 0 475 480 0 Ieol Cofeece o Mecl Physcs Bomecl ee Pmee smo Hyohess es of wo Neve Boml Dsbuo Poulo wh Mss D Zhwe Zho Collee of MhemcsJl Noml UvesyS Ch zhozhwe@6com Absc
More informationTechnical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005.
Techc Appedx fo Iveoy geme fo Assemy Sysem wh Poduc o Compoe eus ecox d Zp geme Scece 2005 Lemm µ µ s c Poof If J d µ > µ he ˆ 0 µ µ µ µ µ µ µ µ Sm gumes essh he esu f µ ˆ > µ > µ > µ o K ˆ If J he so
More informationSupporting information How to concatenate the local attractors of subnetworks in the HPFP
n Effcen lgorh for Idenfyng Prry Phenoype rcors of Lrge-Scle Boolen Newor Sng-Mo Choo nd Kwng-Hyun Cho Depren of Mhecs Unversy of Ulsn Ulsn 446 Republc of Kore Depren of Bo nd Brn Engneerng Kore dvnced
More informationModern Energy Functional for Nuclei and Nuclear Matter. By: Alberto Hinojosa, Texas A&M University REU Cyclotron 2008 Mentor: Dr.
Moden Enegy Funconal fo Nucle and Nuclea Mae By: lbeo noosa Teas &M Unvesy REU Cycloon 008 Meno: D. Shalom Shlomo Oulne. Inoducon.. The many-body poblem and he aee-fock mehod. 3. Skyme neacon. 4. aee-fock
More information_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9
C C A 55NED n R 5 0 9 b c c \ { s AS EC 2 5? 9 Con 0 \ 0265 o + s ^! 4 y!! {! w Y n < R > s s = ~ C c [ + * c n j R c C / e A / = + j ) d /! Y 6 ] s v * ^ / ) v } > { ± n S = S w c s y c C { ~! > R = n
More informationChapter 3: Vectors and Two-Dimensional Motion
Chape 3: Vecos and Two-Dmensonal Moon Vecos: magnude and decon Negae o a eco: eese s decon Mulplng o ddng a eco b a scala Vecos n he same decon (eaed lke numbes) Geneal Veco Addon: Tangle mehod o addon
More informationMODEL SOLUTIONS TO IIT JEE ADVANCED 2014
MODEL SOLUTIONS TO IIT JEE ADVANCED Pper II Code PART I 6 7 8 9 B A A C D B D C C B 6 C B D D C A 7 8 9 C A B D. Rhc(Z ). Cu M. ZM Secon I K Z 8 Cu hc W mu hc 8 W + KE hc W + KE W + KE W + KE W + KE (KE
More informationME 141. Engineering Mechanics
ME 141 Engineeing Mechnics Lecue 13: Kinemics of igid bodies hmd Shhedi Shkil Lecue, ep. of Mechnicl Engg, UET E-mil: sshkil@me.bue.c.bd, shkil6791@gmil.com Websie: eche.bue.c.bd/sshkil Couesy: Veco Mechnics
More information6.6 The Marquardt Algorithm
6.6 The Mqudt Algothm lmttons of the gdent nd Tylo expnson methods ecstng the Tylo expnson n tems of ch-sque devtves ecstng the gdent sech nto n tetve mtx fomlsm Mqudt's lgothm utomtclly combnes the gdent
More informationCOMP 465: Data Mining More on PageRank
COMP 465: Dt Mnng Moe on PgeRnk Sldes Adpted Fo: www.ds.og (Mnng Mssve Dtsets) Powe Iteton: Set = 1/ 1: = 2: = Goto 1 Exple: d 1/3 1/3 5/12 9/24 6/15 = 1/3 3/6 1/3 11/24 6/15 1/3 1/6 3/12 1/6 3/15 Iteton
More informationUniform Circular Motion
Unfom Ccul Moton Unfom ccul Moton An object mong t constnt sped n ccle The ntude of the eloct emns constnt The decton of the eloct chnges contnuousl!!!! Snce cceleton s te of chnge of eloct:!! Δ Δt The
More informationCptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1
ps 57 Machne Leann School of EES Washnon Sae Unves ps 57 - Machne Leann Assume nsances of classes ae lneal sepaable Esmae paamees of lnea dscmnan If ( - -) > hen + Else - ps 57 - Machne Leann lassfcaon
More informationMathematics 805 Final Examination Answers
. 5 poins Se he Weiersrss M-es. Mhemics 85 Finl Eminion Answers Answer: Suppose h A R, nd f n : A R. Suppose furher h f n M n for ll A, nd h Mn converges. Then f n converges uniformly on A.. 5 poins Se
More informationProperties of Logarithms. Solving Exponential and Logarithmic Equations. Properties of Logarithms. Properties of Logarithms. ( x)
Properies of Logrihms Solving Eponenil nd Logrihmic Equions Properies of Logrihms Produc Rule ( ) log mn = log m + log n ( ) log = log + log Properies of Logrihms Quoien Rule log m = logm logn n log7 =
More informationMaximum likelihood estimate of phylogeny. BIOL 495S/ CS 490B/ MATH 490B/ STAT 490B Introduction to Bioinformatics April 24, 2002
Mmm lkelhood eme of phylogey BIO 9S/ S 90B/ MH 90B/ S 90B Iodco o Bofomc pl 00 Ovevew of he pobblc ppoch o phylogey o k ee ccodg o he lkelhood d ee whee d e e of eqece d ee by ee wh leve fo he eqece. he
More informationUNIT10 PLANE OF REGRESSION
UIT0 PLAE OF REGRESSIO Plane of Regesson Stuctue 0. Intoducton Ojectves 0. Yule s otaton 0. Plane of Regesson fo thee Vaales 0.4 Popetes of Resduals 0.5 Vaance of the Resduals 0.6 Summay 0.7 Solutons /
More informationGeneralisation on the Zeros of a Family of Complex Polynomials
Ieol Joul of hemcs esech. ISSN 976-584 Volume 6 Numbe 4. 93-97 Ieol esech Publco House h://www.house.com Geelso o he Zeos of Fmly of Comlex Polyomls Aee sgh Neh d S.K.Shu Deme of hemcs Lgys Uvesy Fdbd-
More informationThe Characterization of Jones Polynomial. for Some Knots
Inernon Mhemc Forum,, 8, no, 9 - The Chrceron of Jones Poynom for Some Knos Mur Cncn Yuuncu Y Ünversy, Fcuy of rs nd Scences Mhemcs Deprmen, 8, n, Turkey m_cencen@yhoocom İsm Yr Non Educon Mnsry, 8, n,
More informationNotes on the stability of dynamic systems and the use of Eigen Values.
Noes on he sabl of dnamc ssems and he use of Egen Values. Source: Macro II course noes, Dr. Davd Bessler s Tme Seres course noes, zarads (999) Ineremporal Macroeconomcs chaper 4 & Techncal ppend, and Hamlon
More informationSolution in semi infinite diffusion couples (error function analysis)
Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of
More informationLecture 10. Solution of Nonlinear Equations - II
Fied point Poblems Lectue Solution o Nonline Equtions - II Given unction g : R R, vlue such tht gis clled ied point o the unction g, since is unchnged when g is pplied to it. Whees with nonline eqution
More informationAddition & Subtraction of Polynomials
Addiion & Sucion of Polynomil Addiion of Polynomil: Adding wo o moe olynomil i imly me of dding like em. The following ocedue hould e ued o dd olynomil 1. Remove enhee if hee e enhee. Add imil em. Wie
More informationClass Summary. be functions and f( D) , we define the composition of f with g, denoted g f by
Clss Summy.5 Eponentil Functions.6 Invese Functions nd Logithms A function f is ule tht ssigns to ech element D ectly one element, clled f( ), in. Fo emple : function not function Given functions f, g:
More informationSolution of fuzzy multi-objective nonlinear programming problem using interval arithmetic based alpha-cut
Intentionl Jounl of Sttistics nd Applied Mthemtics 016; 1(3): 1-5 ISSN: 456-145 Mths 016; 1(3): 1-5 016 Stts & Mths www.mthsounl.com Received: 05-07-016 Accepted: 06-08-016 C Lognthn Dept of Mthemtics
More informationPhysics 207, Lecture 3
Physcs 7 Lecue 3 Physcs 7, Lecue 3 l Tody (Fnsh Ch. & s Ch. 3) Emne sysems wh non-zeo cceleon (ofen consn) Sole D poblems wh zeo nd consn cceleon (ncludng fee-fll nd moon on n nclne) Use Cesn nd pol coodne
More informationDensity Matrix Description of NMR BCMB/CHEM 8190
Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon If we say wh one bass se, properes vary only because of changes n he coeffcens weghng each bass se funcon x = h< Ix > - hs s how we calculae
More informationLecture 3 summary. C4 Lecture 3 - Jim Libby 1
Lecue su Fes of efeece Ivce ude sfoos oo of H wve fuco: d-fucos Eple: e e - µ µ - Agul oeu s oo geeo Eule gles Geec slos cosevo lws d Noehe s heoe C4 Lecue - Lbb Fes of efeece Cosde fe of efeece O whch
More informatione t dt e t dt = lim e t dt T (1 e T ) = 1
Improper Inegrls There re wo ypes of improper inegrls - hose wih infinie limis of inegrion, nd hose wih inegrnds h pproch some poin wihin he limis of inegrion. Firs we will consider inegrls wih infinie
More informationInvert and multiply. Fractions express a ratio of two quantities. For example, the fraction
Appendi E: Mnipuling Fions Te ules fo mnipuling fions involve lgei epessions e el e sme s e ules fo mnipuling fions involve numes Te fundmenl ules fo omining nd mnipuling fions e lised elow Te uses of
More informationScience Advertisement Intergovernmental Panel on Climate Change: The Physical Science Basis 2/3/2007 Physics 253
Science Adeisemen Inegoenmenl Pnel on Clime Chnge: The Phsicl Science Bsis hp://www.ipcc.ch/spmfeb7.pdf /3/7 Phsics 53 hp://www.fonews.com/pojecs/pdf/spmfeb7.pdf /3/7 Phsics 53 3 Sus: Uni, Chpe 3 Vecos
More informationPHY2053 Summer C 2013 Exam 1 Solutions
PHY053 Sue C 03 E Soluon. The foce G on o G G The onl cobnon h e '/ = doubln.. The peed of lh le 8fulon c 86,8 le 60 n 60n h 4h d 4d fonh.80 fulon/ fonh 3. The dnce eled fo he ene p,, 36 (75n h 45 The
More informationApproximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy
Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae
More informationPower Series Solutions for Nonlinear Systems. of Partial Differential Equations
Appled Mhemcl Scences, Vol. 6, 1, no. 14, 5147-5159 Power Seres Soluons for Nonlner Sysems of Prl Dfferenl Equons Amen S. Nuser Jordn Unversy of Scence nd Technology P. O. Bo 33, Irbd, 11, Jordn nuser@us.edu.o
More information10.7 Power and the Poynting Vector Electromagnetic Wave Propagation Power and the Poynting Vector
L 333 lecmgnec II Chpe 0 lecmgnec W Ppgn Pf. l J. l Khnd Islmc Unves f G leccl ngneeng Depmen 06 0.7 Pwe nd he Pnng Vec neg cn be sped fm ne pn (whee nsme s lced) nhe pn (wh eceve) b mens f M ws. The e
More informationSeptember 20 Homework Solutions
College of Engineering nd Compuer Science Mechnicl Engineering Deprmen Mechnicl Engineering A Seminr in Engineering Anlysis Fll 7 Number 66 Insrucor: Lrry Creo Sepember Homework Soluions Find he specrum
More informationTo Possibilities of Solution of Differential Equation of Logistic Function
Arnold Dávd, Frnše Peller, Rená Vooroosová To Possbles of Soluon of Dfferenl Equon of Logsc Funcon Arcle Info: Receved 6 My Acceped June UDC 7 Recommended con: Dávd, A., Peller, F., Vooroosová, R. ().
More informationReinforcement learning
CS 75 Mchine Lening Lecue b einfocemen lening Milos Huskech milos@cs.pi.edu 539 Senno Sque einfocemen lening We wn o len conol policy: : X A We see emples of bu oupus e no given Insed of we ge feedbck
More informationAns: In the rectangular loop with the assigned direction for i2: di L dt , (1) where (2) a) At t = 0, i1(t) = I1U(t) is applied and (1) becomes
omewok # P7-3 ecngul loop of widh w nd heigh h is siued ne ve long wie cing cuen i s in Fig 7- ssume i o e ecngul pulse s shown in Fig 7- Find he induced cuen i in he ecngul loop whose self-inducnce is
More informationL4:4. motion from the accelerometer. to recover the simple flutter. Later, we will work out how. readings L4:3
elave moon L4:1 To appl Newon's laws we need measuemens made fom a 'fed,' neal efeence fame (unacceleaed, non-oang) n man applcaons, measuemens ae made moe smpl fom movng efeence fames We hen need a wa
More informationLecture 11 SVM cont
Lecure SVM con. 0 008 Wha we have done so far We have esalshed ha we wan o fnd a lnear decson oundary whose margn s he larges We know how o measure he margn of a lnear decson oundary Tha s: he mnmum geomerc
More informationIntegral Equations and their Relationship to Differential Equations with Initial Conditions
Scece Refleco SR Vol 6 wwwscecereflecocom Geerl Leers Mhemcs GLM 6 3-3 Geerl Leers Mhemcs GLM Wese: hp://wwwscecereflecocom/geerl-leers--mhemcs/ Geerl Leers Mhemcs Scece Refleco Iegrl Equos d her Reloshp
More informationEmpirical equations for electrical parameters of asymmetrical coupled microstrip lines
Epl equons fo elel petes of syel ouple osp lnes I.M. Bsee Eletons eseh Instute El-h steet, Dokk, o, Egypt Abstt: Epl equons e eve fo the self n utul nutne n ptne fo two syel ouple osp lnes. he obne ptne
More informationPHYS 2421 Fields and Waves
PHYS 242 Felds nd Wves Instucto: Joge A. López Offce: PSCI 29 A, Phone: 747-7528 Textook: Unvesty Physcs e, Young nd Feedmn 23. Electc potentl enegy 23.2 Electc potentl 23.3 Clcultng electc potentl 23.4
More informationDensity Matrix Description of NMR BCMB/CHEM 8190
Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon Alernae approach o second order specra: ask abou x magnezaon nsead of energes and ranson probables. If we say wh one bass se, properes vary
More informationINTEGRALS. Exercise 1. Let f : [a, b] R be bounded, and let P and Q be partitions of [a, b]. Prove that if P Q then U(P ) U(Q) and L(P ) L(Q).
INTEGRALS JOHN QUIGG Eercise. Le f : [, b] R be bounded, nd le P nd Q be priions of [, b]. Prove h if P Q hen U(P ) U(Q) nd L(P ) L(Q). Soluion: Le P = {,..., n }. Since Q is obined from P by dding finiely
More information( ) () we define the interaction representation by the unitary transformation () = ()
Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger
More information4.8 Improper Integrals
4.8 Improper Inegrls Well you ve mde i hrough ll he inegrion echniques. Congrs! Unforunely for us, we sill need o cover one more inegrl. They re clled Improper Inegrls. A his poin, we ve only del wih inegrls
More informationab b. c 3. y 5x. a b 3ab. x xy. p q pq. a b. x y) + 2a. a ab. 6. Simplify the following expressions. (a) (b) (c) (4x
. Simplif the following epessions. 8 c c d. Simplif the following epessions. 6b pq 0q. Simplif the following epessions. ( ) q( m n) 6q ( m n) 7 ( b c) ( b c) 6. Simplif the following epessions. b b b p
More informationSTRAIGHT LINES IN LINEAR ARRAY SCANNER IMAGERY
Devn Kelle STRIGHT LINES IN LINER RR SCNNER IMGER mn Hbb, Devn Kelle, ndne smmw Depmen of Cvl nd Envonmenl Engneeng nd Geode Sene The ho Se Unves hbb.1@osu.edu, kelle.83@osu.edu, smmw.1@osu.edu ISPRS Commsson
More information8 Baire Category Theorem and Uniform Boundedness
8 Bae Categoy Theoem and Unfom Boundedness Pncple 8.1 Bae s Categoy Theoem Valdty of many esults n analyss depends on the completeness popety. Ths popety addesses the nadequacy of the system of atonal
More informationEurasian International Center of Theoretical Physics, Eurasian National University, Astana , Kazakhstan
Joul o Mhems d sem ee 8 8 87-95 do: 765/59-59/8 D DAVID PUBLIHIG E Loled oluos o he Geeled +-Dmesol Ldu-Lsh Equo Gulgssl ugmov Ao Mul d Zh gdullev Eus Ieol Cee o Theoel Phss Eus ol Uves As 8 Khs As: I
More informationCircuits 24/08/2010. Question. Question. Practice Questions QV CV. Review Formula s RC R R R V IR ... Charging P IV I R ... E Pt.
4/08/00 eview Fomul s icuis cice s BL B A B I I I I E...... s n n hging Q Q 0 e... n... Q Q n 0 e Q I I0e Dischging Q U Q A wie mde of bss nd nohe wie mde of silve hve he sme lengh, bu he dimee of he bss
More informationSpinor Geometry Based Robots Spatial Rotations Terminal Control
Mthemtcl Models nd Methods n Moden Scence Spno Geomet Bsed Robots Sptl Rottons Temnl Contol A Mlnkov T. Ntshvl Deptment o Robotcs Insttute o Mechncs o Mchnes Mndel st. Tbls 86 Geog lende.mlnkov@gm.com
More informationDYNAMIC BEHAVIOUR OF THE SOLUTIONS ON A CLASS OF COUPLED VAN DER POL EQUATIONS WITH DELAYS
Jol of Mheml Sees: Adves d Applos Volme 6 Pges 67-8 Avlle hp://sefdveso DOI: hp://ddoog/86/jms_778 DYNAMIC BEHAVIOUR OF THE SOLUTIONS ON A CLASS OF COUPLED VAN DER POL EQUATIONS WITH DELAYS CHUNHUA FENG
More informationLecture 5. Plane Wave Reflection and Transmission
Lecue 5 Plane Wave Reflecon and Tansmsson Incden wave: 1z E ( z) xˆ E (0) e 1 H ( z) yˆ E (0) e 1 Nomal Incdence (Revew) z 1 (,, ) E H S y (,, ) 1 1 1 Refleced wave: 1z E ( z) xˆ E E (0) e S H 1 1z H (
More informationLECTURE 5. is defined by the position vectors r, 1. and. The displacement vector (from P 1 to P 2 ) is defined through r and 1.
LECTURE 5 ] DESCRIPTION OF PARTICLE MOTION IN SPACE -The displcemen, veloci nd cceleion in -D moion evel hei veco nue (diecion) houh he cuion h one mus p o hei sin. Thei full veco menin ppes when he picle
More informationReview: Transformations. Transformations - Viewing. Transformations - Modeling. world CAMERA OBJECT WORLD CSE 681 CSE 681 CSE 681 CSE 681
Revew: Trnsforons Trnsforons Modelng rnsforons buld cople odels b posonng (rnsforng sple coponens relve o ech oher ewng rnsforons plcng vrul cer n he world rnsforon fro world coordnes o cer coordnes Perspecve
More informationBackcalculation Analysis of Pavement-layer Moduli Using Pattern Search Algorithms
Bakallaon Analyss of Pavemen-laye Modl Usng Paen Seah Algohms Poje Repo fo ENCE 74 Feqan Lo May 7 005 Bakallaon Analyss of Pavemen-laye Modl Usng Paen Seah Algohms. Inodon. Ovevew of he Poje 3. Objeve
More informationPhysics 15 Second Hour Exam
hc 5 Second Hou e nwe e Mulle hoce / ole / ole /6 ole / ------------------------------- ol / I ee eone ole lee how ll wo n ode o ecee l ced. I ou oluon e llegle no ced wll e gen.. onde he collon o wo 7.
More informationHomework 5 for BST 631: Statistical Theory I Solutions, 09/21/2006
Homewok 5 fo BST 63: Sisicl Theoy I Soluions, 9//6 Due Time: 5:PM Thusy, on 9/8/6. Polem ( oins). Book olem.8. Soluion: E = x f ( x) = ( x) f ( x) + ( x ) f ( x) = xf ( x) + xf ( x) + f ( x) f ( x) Accoing
More informationRotational Speed Control of Multirotor UAV's Propulsion Unit based on Fractional-order PI Controller
Roonl Speed Conol of Muloo UAV's opulson Un bsed on Fconl-ode Conolle Wocech Genck, Tl Sdll, Josłw Goślńsk, o ozesk,, João. Coelho, Sš Sldć oznn Unvesy of Technology, oowo 3 See, 6-965 oznn, olnd, Fculy
More informationTopics for Review for Final Exam in Calculus 16A
Topics fo Review fo Finl Em in Clculus 16A Instucto: Zvezdelin Stnkov Contents 1. Definitions 1. Theoems nd Poblem Solving Techniques 1 3. Eecises to Review 5 4. Chet Sheet 5 1. Definitions Undestnd the
More informationChapter Linear Regression
Chpte 6.3 Le Regesso Afte edg ths chpte, ou should be ble to. defe egesso,. use sevel mmzg of esdul cte to choose the ght cteo, 3. deve the costts of le egesso model bsed o lest sques method cteo,. use
More informationVariants of Pegasos. December 11, 2009
Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on
More informationEEM 486: Computer Architecture
EEM 486: Compuer Archecure Lecure 4 ALU EEM 486 MIPS Arhmec Insrucons R-ype I-ype Insrucon Exmpe Menng Commen dd dd $,$2,$3 $ = $2 + $3 sub sub $,$2,$3 $ = $2 - $3 3 opernds; overfow deeced 3 opernds;
More informationIn the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!
ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal
More information( ) ( ) ( ) ( ) ( ) ( ) j ( ) A. b) Theorem
b) Theoe The u of he eco pojecon of eco n ll uull pependcul (n he ene of he cl poduc) decon equl o he eco. ( ) n e e o The pojecon conue he eco coponen of he eco. poof. n e ( ) ( ) ( ) e e e e e e e e
More informationSolvability of nonlinear Klein-Gordon equation by Laplace Decomposition Method
Vol. 84 pp. 37-4 Jly 5 DOI:.5897/JMCSR4.57 icle Nbe: 63F95459 ISSN 6-973 Copyigh 5 hos ein he copyigh of his icle hp://www.cdeicjonls.og/jmcsr ficn Jonl of Mheics nd Cope Science Resech Fll Lengh Resech
More informationEGN 3321 Final Exam Review Spring 2017
EN 33 l Em Reew Spg 7 *T fshg ech poblem 5 mues o less o pcce es-lke me coss. The opcs o he pcce em e wh feel he bee sessed clss, bu hee m be poblems o he es o lke oes hs pcce es. Use ohe esouces lke he
More informationChapter 17. Least Square Regression
The Islmc Uvest of Gz Fcult of Egeeg Cvl Egeeg Deptmet Numecl Alss ECIV 336 Chpte 7 Lest que Regesso Assocte Pof. Mze Abultef Cvl Egeeg Deptmet, The Islmc Uvest of Gz Pt 5 - CURVE FITTING Descbes techques
More informationAn Optimal Calibration Method for a MEMS Inertial Measurement Unit
Inenonl Jounl of Advnced Rooc Ssems ARTICLE An Opml Clon Mehod fo MEMS Inel Mesuemen Un Reul Ppe Bn Fn,,*, Wushen Chou, nd L Dn Se Ke Loo of Vul Rel Technolo nd Ssems, Behn Unves, P.R. Chn Roocs Insue
More informationPHYSICS 102. Intro PHYSICS-ELECTROMAGNETISM
PHYS 0 Suen Nme: Suen Numbe: FAUTY OF SIENE Viul Miem EXAMINATION PHYSIS 0 Ino PHYSIS-EETROMAGNETISM Emines: D. Yoichi Miyh INSTRUTIONS: Aemp ll 4 quesions. All quesions hve equl weighs 0 poins ech. Answes
More informationCHAPTER 10: LINEAR DISCRIMINATION
CHAPER : LINEAR DISCRIMINAION Dscrmnan-based Classfcaon 3 In classfcaon h K classes (C,C,, C k ) We defned dscrmnan funcon g j (), j=,,,k hen gven an es eample, e chose (predced) s class label as C f g
More information2 shear strain / L for small angle
Sac quaons F F M al Sess omal sess foce coss-seconal aea eage Shea Sess shea sess shea foce coss-seconal aea llowable Sess Faco of Safe F. S San falue Shea San falue san change n lengh ognal lengh Hooke
More informations = rθ Chapter 10: Rotation 10.1: What is physics?
Chape : oaon Angula poson, velocy, acceleaon Consan angula acceleaon Angula and lnea quanes oaonal knec enegy oaonal nea Toque Newon s nd law o oaon Wok and oaonal knec enegy.: Wha s physcs? In pevous
More informationParameter estimation method using an extended Kalman Filter
Unvers o Wollongong Reserch Onlne cul o Engneerng nd Inormon cences - Ppers: Pr A cul o Engneerng nd Inormon cences 007 Prmeer esmon mehod usng n eended lmn ler Emmnuel D. Blnchrd Unvers o Wollongong eblnch@uow.edu.u
More information