(d) Show that the series resistance and inductance per unit length of the line are

Size: px
Start display at page:

Download "(d) Show that the series resistance and inductance per unit length of the line are"

Transcription

1 8. sissio lie osisig of Two oei iul lides of el wi oduivi d ski dep, s sow, is filled wi uifo lossless dielei,. TM ode is popged log is lie. Seio 8. pplies. () Sow e ie veged powe flow log e lie is P l wee is e pek vlue of e iul gei field e sufe of e ie oduo. () Sow e sied powe is eued log e lie s P wee P e l () Te eisi ipede Z of e lie is defied s e io of e volge ewee e lides o e il ue flowig i oe of e posiio Z. Sow fo is lie Z l (d) Sow e seies esise d idue pe ui leg of e lie e L l wee is e peeili of e oduo. Te oeio o e idue oes fo e peeio of e flu io e oduos dise of ode. Sol: () B se, d

2 l l l l. l os Fo TM wve popgig i dieio,. os B Le os os.. d d d S P S l e * () Fo kso (8.57) dl d dp O e ie sufe dl d dp i O e oue sufe dl d dp i Teefoe, powe loss

3 d dp d dp d dp ou i odig o P e P d dp P P e P d dp l () V Z d dl V l dl dl K l l V Z (d) Beuse ople odiio, d dp oside e eeg i volue, d d U vol l Teefoe, oside e eeg i wll, we kow e e // wee idied e dise io e oduo. ssue ie d e d U

4 U oue d e d U ol l L U l ol 8.3 () sissio lie osiss of wo ideil i sips of el, sow i oss seio i e ske. ssuig >>, disuss e popgio of а ТЕМ ode o is lie, epeig e deivios of Pole 8.. Sow P Z L wee e sols o e lef ve e se eigs s i Pole 8.. oose egul oodie sse wi pllel o e sip log side, pepediul o e sip d log e lie. Le, K K e ik e e sufe ue desi of e op sip. Tus, e gei field i ewee e wo sips is give ik B ik BK K e, K e Teefoe, K. Te elei field e deived fo e Mwell s equio: B kb k ik B i e i Te vege Poig veo k k k S

5 Te vege powe sied log e lie P S d es of powe P, P Te powe loss pe ui e, dp Keff d Te powe loss pe ui leg log e, dp dp P P d d P Tus, Pe wi Te poeil diffeee ewee e wo sips V V k Te wve ipede Z K V dl e k ik Te seies esise pe ui leg dp d Te idue pe ui leg L B d B d oduo wee e iegio of e seod e kig io ou e gei eeg soed iside e oduos. Noe iside e oduos, i/ i, e e / Tus, oduo B d e d Teefoe, L + () Te lowe lf of e figue sows e oss seio of iosip lie wi

6 sip of wid oued o dielei suse of ikess d dielei os, ll o goud ple. W diffeees ou ee oped o p if >>? f <<? Fo e se >>, e elei d gei fields e osl ofied i e egio ewee e sip d e goud ple d e uifo wii e egio. Teefoe, is se is ve siil o p () wi e sl d is io ige. oweve e se << is ve diffee fo (). Tis se e ppoied wie ove goudig ple. Te dielei suse sould ve lile effe o e quiies luled i () e o elei d gei fields eed osl i e egio wiou e suse. 8. Tsvese elei d gei wves e popged log ollow, ig iul lide wi ie dius d oduivi. () Fid e uoff fequeies of e vious T d TM odes. Deeie ueill e lowes uoff feque (e doi ode) i es of e ue dius d e io of uoff fequeies of e e fou ige odes o of e doi ode. Fo is p ssue e oduivi of e lide is ifiie. () lule e euio oss of e wveguide s fuio of feque fo e lowes wo disi odes d plo e s fuio of feque. Sol: () Followig e lsis o pge 369 wi e eplee e uoff fequeies e M, fo ode TM d Tee is e eo of e Bessel fuio p k, i is see d, fo ode T. d is e eo d.8. Te fudel ode is T wi, wi d. Te e fou ige odes e: M, TM wi. 36

7 , T wi. 659, T wi. 8, TM wi. 8 M () T : We equie o lule e powe P fo q. 8.5 i kso, d ll gei fields o lule dp dl d i e ik ik e i i wi, d, k d. Ug q. 8.5 P,, d d k dp d k Te euio os fo ollow ss guide, fo wi d is e foud o e, P dp d,,,, TM : Te equied fields e, ug k d Z

8 ik ik ik ik Z Z ug q. 8.5 lulig dp d d evluig ), i is foud dp fo ollow ss guide ( d P d, 3 M, 8.5 wveguide is osued so e oss seio of e guide fos ig igle wi sides of leg,,, s sow. Te ediu iside s. () ssuig ifiie oduivi fo e wlls, deeie e possile odes of popgio d ei uoff fequeies. geel, o solve pole like is, we eed o oside e Diile o Neu pole fo oud wiou sdd (i.e. egul o iul) se. piul, is es ee is o ul oodie sse o use fo e wo-diesiol elol equio o llows fo sepio of viles d espes e se of e oud sufe (wi would llow siple speifiio of e oud d). geel pole of is fo (wi o siple oud se) is quie uples o solve. is se, we ik of e igle s lf of sque.

9 piul, e ke sep o is pole is o oe e igle e oied fo e sque ipog efleio se log e = digol. Tis se is efleio o e oodies of e fo :, igefuios, e e lssified s eie -eve o -odd :,, Te odd fuios vis log e digol, so e uoill sisf Diile o e digol. Siill, e eve fuios ve odiios vig ol deivive o e digol d ee uoill sisf Neu odiios. We will use is f o osu TM d T odes fo e igle. We egi wi e TM odes. Ug egul oodies, i is ul o wie soluios of e elol equio s e ik k wee k k. Tis es we epd e eigefuios i es of es d oes. Fo TM odes sisfig e Diile odiio S, we s wi eigefuios o e sque wi uoill sisf e oud odiios o e fou wlls of e sque. Tis gives so e uoff fequeies e () ode o sisf e Diile odiio o e digol, we ke e -odd oiio (TM) is siple o veif,,,, so ll oud

10 odiios o e igle e ideed sisfied. Te uoff fequeies e give (). Noe ee e pojeio eoves e = odes d lso iseies wi. s esul, e iege lels d e ke o sisf e odiio >>. Te lsis fo T odes is siil. oweve, fo Neu odiios, we ke oe oiios s well s -eve eigefuio. Tis gives (T) os os os os wi ideil uoff fequeies s i (). Tis ie, oweve, e lels d e ke o sisf (eep == is o llowed). () Fo e lowes odes of e pe lule e euio os, ssuig e wlls ve lge, u fiie, oduivi. ope e esul wi fo sque guide of side de fo e se eil. Te euio oeffiies e deeied powe d powe loss. We egi wi TM odes. Fo e powe, we eed o opue d k k k k d () is peps esies o opue is iegig ove e sque d e dividig wo fo e igle. Tis is euse e iegio sepes io d iegls, d we use oogoli k i kjd i, j Tis gives d Te fo of / is fo e igle, wile e fo of is euse wo o-vig es ise we squig e iegd i (). (ell fo TM odes.) Tis gives epessio fo e powe / / d P wee / is e e of e igle. lulig e powe loss ivolves

11 iegig ol deivive dl We ek is io ee ps: log =, log = d log e digol =. log e = wll, we ve d s esul k k d (3) siil lulio, o use of se, will esul i ideil epessio fo e iegl log e = wll. Fo e digol, we use o opue os k kos k k Tis gives k k dl d oiig is digol wi (3) fo e sides, we oi dl wee is e iufeee of e igle. Tis gives TM ode powe loss of dp dl d Te euio oeffiie is us

12 / dp Pd so e geoeil fo is ivil. Noe e eeg loss lulio log e digol of e igle gives e se esul s log e sque edges. s esul, e geoeil fo is idepede of wee e wveguide is sque o ig igul. Tis is w e igul TM esul is ideil o e sque TM esul, les up o e ios igle d / / fo e sque. / / 6.83/ fo e Te powe loss fo e T odes is soew de o del wi euse of e possiili of speil ses. oside os k os k os k os k () wee. f =, we ed up wi is se os k os k (>) d d dos k os k wile e peiee iegls e 3 d d osk d dosk wi gives d dl 3 d d d d k

13 d d d k wi gives Ug dl P / d d dp dl d wi e ove iegls gives euio oeffiie / dp 3 Pd wee d / /. ee e geoeil fos e, (>=) Fo e egul wveguide, oe s ised, we Tis is diffee euse e powe loss lulio is o loge uivesl, givig diffee oeffiies log e digol s log e sque edges. Te eiig T ses o oside e odes () wee => d >>. ee we sipl se e esuls. Fo => we ve os k os k

14 (we ve eoved uipo fo of wo) so Tis gives d 8 3 dl 8 dl 8, (=>) O e oe d, fo e geel se >> we fid d dl dl wi ields, (>>) ll ses,, wi is e se fo e igle o e sque wveguide. Fo, e fo is esseill geoei oiio of oiuios log e peiee of eie o / depedig o e piul ode d is degeeies. 8.6 eso vi of oppe osiss of ollow, ig iul lide of ie dius d leg L, wi fl ed fes. () Deeie e eso fequeies of e vi fo ll pes of wves. Wi s ui of feque, plo e lowes fou eso fequeies of e pe s fuio of L of L. Does e se ode ve e lowes feque fo ll L? () f =, L = 3, d e vi is de of pue oppe, w is e ueil vlue of Q fo e lowes eso ode? Sol:

15 () Fo kso (8.8) d (8.83), TM p : L p p p =,,, =,,, =,, 3 T p : L p p p =,, 3, =,,, =,, 3 Te feque of TM is idepede of L. Te foudel ode is eie T o TM depede o L. () 3 L, e fudel ode is TM, L L L L P U Q L d L d P L d U i i L 8 os,

16 fo TM. L Q L wee 8.8 () Fo e use of Gee's eoe i wo diesios sow e TM d ТЕ odes i wveguide defied e oud-vlue poles (8.3) d (8.36) e oogol i e sese,, fo d fo TM odes, d oespodig elio fo fo ТЕ odes. Oogoli is geel pope of e eigefuios of e wve equio. Te geel wo-diesiol equio is give wee eie o TM odes S S T odes To pove oogoli, oe d sisf e equios, Muliplig e fis d e seod d suig gives egig is ove e oss-seiol e, d ug Gee s eoe ields d d dl

17 wee we ve used iwd poiig ol dieio. We ow oe e ig d side vises fo eie TM o T oud odiios. Tus, povided, we ed up wi d ( ) Fo o-degeee eigevlues, olude d fo so log s d e o TM odes (o e o T odes). Noe, fo TM odes, wile, fo T odes. Fo degeee eigevlues, liei of e wve equio guees we fid oogol sis ug, e.g., G-Sid oogoliio poess. () Pove e elios (8.3)-(8.3) fo osise se of oliio odiios fo e fields, iludig e iuses we is TM ode d is а ТЕ ode. We s wi elio (8.3), wi ses d wee,,,, e eie TM o T ode. To dle is epessio, we oe e svese fields fo TM d T odes e give ik TM:,, Z k Z i T:,, Z Z k ee fo wo TM odes, we ed up wi () k k d d dl d,,,,, S,,, Te sufe e vises euse of Diile oud odiios, wile e e e e siplified ug. ee we ive,,

18 k d d,,,, fo () We popel olied fo, is gives (8.3) fo wo TM odes. Te se of wo T odes is siil. We ve d d,,,,,,,, d,, d (3) We ve oed ideill (e e svese gdie is oogol o ẑ ). Te poof of oogoli of wo T odes e follows ug e se iegio eod ws used ove fo e TM odes (u wi epled, d wi / vig o e oud). Fill, fo oe T ode d oe TM ode, we ve k d d,,,, k,, d k,, d k,, dl S Tis iegl vises euse, vises o e oud. s esul, ll T odes e oogol o ll TM odes. Pope oliio e esuls i (8.3). We ow u o elio (8.3), wi ses d,,, Z Te es w o pove is is o oe fo (),, Z fo eie TM o T odes, povided Z is ose odigl. is se

19 d d,,,, ZZ,,,, d Z Z d Z Z Z Z Z,,,, ee we ve de use of e f vises euse is svese o e ẑ dieio. Te ls lie follows fo pplig (8.3), wi we poved ove. Te powe flow elio (8.33) d Z follows siill. Speifill, we ve,,,,, d,, d Z = Z,,,, d d Z Z Z,,,, Te elio (8.3) esseill olies e odes fo e TM d T se. iio of () fo TM odes d (3) fo T odes idies e pope oliio is TM: T:,,, d k d kz,,, 8.9 Te figue pole 8.9 sows oss seiol view of ifiiel log egul wveguide wi e ee oduo of oil e lie eedig veill dise io is ieio. Te ue log e poe osilles usoidll i ie wi feque, d is viio i spe e

20 ppoied s. Te ikess of e poe e egleed. Te feque is su ol e T ode popge i e guide. () lule e pliudes fo eiio of o T d TM odes fo ll, d sow ow e pliudes deped o d fo, fo fied feque. () Fo e popgig ode sow e powe died i e posiive dieio is X P k wi equl ou i e opposie dieio. ee k is e wve ue fo e T ode. () Disuss e odifiios ou if e guide, ised of uig off o ifii i o dieios, is eied wi pefel oduig sufe L. W vlues of L will iie e powe flow fo fied ue? W is e diio esise of e poe (defied s e io of powe flow o oe lf e sque of e ue e se of e poe) iu? Sol: () ( ) M T k ik M e 3 d k os os wee, o,,eie,, o,

21 ik ik ik ik d e d M e M e e M 3 os os os os d d d os os os os os os os os os os os os os os os os ik T e os os wee e ik e N d N k i ik ik TM 3 ) (

22 ik TM ik e i e ik N os os os ) ( () 8 TM T k P ol T,,. k k k 8 8 os os os () Te oigil field is o odified. Bu ddiiol efleed field wi pse diffeee is supeiposed. Teefoe iefeee will ou. Te iu powe will ou osuive iefeee.

23 P d i (), so P P i (). P os 3 8 wee 3 8 os 8 8. ifiiel log egul wveguide s oil lie eiig i e so side of e guide wi e i el oduo foig seiiul loop of dius wose ee is eig ove e floo of e guide, s sow i e opig oss-seiol view. Te lf-loop is i e ple = d is dius is suffiiel sll e ue e ke s vig os vlue evewee o e loop. () Pove o e ee e ue is os oud e lf-loop, e TM

24 odes e o eied. Give psil eplio of is lk of eiio. Te field i e wveguide e wie s wee e oeffiies e give q. (8.6): Z 3 Z d dl V oose e oo-lef oe of e guide s e oodie oigi wi e -is log e edge d e -is log e edge. os ee is e pol gle wi espe o e ee-of-e loop. Tus Z / / os ( d ) Z os d / / wee d e - d - opoes of e eige-field log e loop. Fo TM wves, e elei field opoes e give q. (8.35): ee Teefoe, os os os os / Z os os os os os / Z / d os os d d / d d d Z / d os d / d / Z os / ee, o TM odes e eied. Tis is euse iul ue i e

25 svese ple will lws esul i o-vig logiudil opoe of, i.e.,. () Deeie e pliude fo e lowes ТЕ ode i e guide d sow is vlue is idepede of e eig. Fo T wves, os os os os wi e oliio edued fo of if = o =. Tus / Z os os os os os / d Te lowes odes ( =, = ): Z os Z d, /,, 3 os / 3,, wee, /. ee we ve used e iegl epeseio of Bessel fuios: / d d os os / Te pliude is idepede of e eig. Fo, Z 3,, 5, 8 () Sow e powe died i eie dieio i e lowes ТЕ ode is P Z 6 wee Z is e wve ipede of e T ode. ee ssue,. Te vege powe died i eie dieio

26 P d d d Z is se, P, Z, Z, 6

Physics 232 Exam I Feb. 13, 2006

Physics 232 Exam I Feb. 13, 2006 Phsics I Fe. 6 oc. ec # Ne..5 g ss is ched o hoizol spig d is eecuig siple hoic oio. The oio hs peiod o.59 secods. iiil ie i is oud o e 8.66 c o he igh o he equiliiu posiio d oig o he le wih eloci o sec.

More information

RESPONSE OF A RECTANGULAR PLATE TO BASE EXCITATION Revision E W( )

RESPONSE OF A RECTANGULAR PLATE TO BASE EXCITATION Revision E W( ) RESPONSE OF A RECTANGULAR PLATE TO BASE EXCITATION Revisio E B To Ivie Eil: o@viiod.co Apil, 3 Viles A pliude coefficie E k leg id ple siffess fco elsic odulus ple ickess veue ple ss edig oe,, u, v ode

More information

Physics 232 Exam I Feb. 14, 2005

Physics 232 Exam I Feb. 14, 2005 Phsics I Fe., 5 oc. ec # Ne..5 g ss is ched o hoizol spig d is eecuig siple hoic oio wih gul eloci o dissec. gie is i ie i is oud o e 8 c o he igh o he equiliiu posiio d oig o he le wih eloci o.5 sec..

More information

Physics 232 Exam II Mar. 28, 2005

Physics 232 Exam II Mar. 28, 2005 Phi 3 M. 8, 5 So. Se # Ne. A piee o gl, ide o eio.5, h hi oig o oil o i. The oil h ide o eio.4.d hike o. Fo wh welegh, i he iile egio, do ou ge o eleio? The ol phe dieee i gie δ Tol δ PhDieee δ i,il δ

More information

BINOMIAL THEOREM OBJECTIVE PROBLEMS in the expansion of ( 3 +kx ) are equal. Then k =

BINOMIAL THEOREM OBJECTIVE PROBLEMS in the expansion of ( 3 +kx ) are equal. Then k = wwwskshieduciocom BINOMIAL HEOREM OBJEIVE PROBLEMS he coefficies of, i e esio of k e equl he k /7 If e coefficie of, d ems i e i AP, e e vlue of is he coefficies i e,, 7 ems i e esio of e i AP he 7 7 em

More information

ELECTROPHORESIS IN STRUCTURED COLLOIDS

ELECTROPHORESIS IN STRUCTURED COLLOIDS ELECTROPHORESIS IN STRUCTURE COLLOIS José M. Médez A. Civesv jedez@fis.ivesv.x p://www.fis.ivesv.x V µ E; µ 6πη ε ζ ; i i ζ i i 3 ε ζ ζ 4 THE GENERATION OF ONE PARTICLE EFFECTIVE YNAMICS 5 6 Lgevi euio

More information

Identification of a continuous linear time-varying system using Haar wavelet with unit energy

Identification of a continuous linear time-varying system using Haar wavelet with unit energy WSEAS ANSACINS o CICUIS AND SYSES S.J..J. i d S.W. N Ideifiio of oiuous lie ie-vyig syse usig wvele wi ui eegy S.J..J. i d S.W. N Depe of Eleois d Copue Egieeig yg Uivesiy Seoul -79 oe sw@yg.. p:sp.yg..

More information

Derivation of the Metal-Semiconductor Junction Current

Derivation of the Metal-Semiconductor Junction Current .4.4. Derivio of e Mel-Seiouor uio Curre.4.4.1.Derivio of e iffuio urre We r fro e epreio for e ol urre e iegre i over e wi of e epleio regio: q( µ + D (.4.11 wi be rewrie b uig -/ uliplig bo ie of e equio

More information

Computer Aided Geometric Design

Computer Aided Geometric Design Copue Aided Geoei Design Geshon Ele, Tehnion sed on ook Cohen, Riesenfeld, & Ele Geshon Ele, Tehnion Definiion 3. The Cile Given poin C in plne nd nue R 0, he ile ih ene C nd dius R is defined s he se

More information

LIPSCHITZ ESTIMATES FOR MULTILINEAR COMMUTATOR OF MARCINKIEWICZ OPERATOR

LIPSCHITZ ESTIMATES FOR MULTILINEAR COMMUTATOR OF MARCINKIEWICZ OPERATOR Reseh d ouiios i heis d hei Siees Vo. Issue Pges -46 ISSN 9-699 Puished Oie o Deee 7 Joi Adei Pess h://oideiess.e IPSHITZ ESTIATES FOR UTIINEAR OUTATOR OF ARINKIEWIZ OPERATOR DAZHAO HEN Dee o Siee d Ioio

More information

X-Ray Notes, Part III

X-Ray Notes, Part III oll 6 X-y oe 3: Pe X-Ry oe, P III oe Deeo Coe oupu o x-y ye h look lke h: We efe ue of que lhly ffee efo h ue y ovk: Co: C ΔS S Sl o oe Ro: SR S Co o oe Ro: CR ΔS C SR Pevouly, we ee he SR fo ye hv pxel

More information

4.1 Schrödinger Equation in Spherical Coordinates

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

More information

Review for the Midterm Exam.

Review for the Midterm Exam. Review for he iderm Exm Rememer! Gross re e re Vriles suh s,, /, p / p, r, d R re gross res 2 You should kow he disiio ewee he fesile se d he udge se, d kow how o derive hem The Fesile Se Wihou goverme

More information

PLATE GIRDER. Lec 7. Lec 7 1. INTRODUCTION. Lecture 7... Page 1

PLATE GIRDER. Lec 7. Lec 7 1. INTRODUCTION. Lecture 7... Page 1 Le eel Desig o Ye D.s Od Dood PLT GRDR 1. NTRODUCTON Mis Uiesi gieeig College Ciil Deme Le Welded le gides, i e e mos ommo fom of le gides, e il- sl seel memes osiss of flge les elded o e le i fille elds.

More information

E&CE 476 Antenna and Wireless Systems Final Examination

E&CE 476 Antenna and Wireless Systems Final Examination UW E&CE 476 S. Svi-Neii, Wie 7 Isuco: S. Svi-Neii Tie:.5 hous E&CE 476 Ae d Wieless Syses Fil Exiio Apil, 7, :3 3:p P. Ae # Ae # λ /5 λ /5 λ /5 Ae # 3 Thee pllel ideicl eso dipoles wih he legh d dius give

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

DIFFERENCE EQUATIONS

DIFFERENCE EQUATIONS DIFFERECE EQUATIOS Lier Cos-Coeffiie Differee Eqios Differee Eqios I disree-ime ssems, esseil feres of ip d op sigls pper ol speifi iss of ime, d he m o e defied ewee disree ime seps or he m e os. These

More information

Outline. Review Homework Problem. Review Homework Problem II. Review Dimensionless Problem. Review Convection Problem

Outline. Review Homework Problem. Review Homework Problem II. Review Dimensionless Problem. Review Convection Problem adial diffsio eqaio Febay 4 9 Diffsio Eqaios i ylidical oodiaes ay aeo Mechaical Egieeig 5B Seia i Egieeig Aalysis Febay 4, 9 Olie eview las class Gadie ad covecio boday codiio Diffsio eqaio i adial coodiaes

More information

EE757 Numerical Techniques in Electromagnetics Lecture 9

EE757 Numerical Techniques in Electromagnetics Lecture 9 EE757 uericl Techiques i Elecroeics Lecure 9 EE757 06 Dr. Mohed Bkr Diereil Equios Vs. Ierl Equios Ierl equios ke severl ors e.. b K d b K d Mos diereil equios c be epressed s ierl equios e.. b F d d /

More information

IJRET: International Journal of Research in Engineering and Technology eissn: pissn:

IJRET: International Journal of Research in Engineering and Technology eissn: pissn: IJRE: Iiol Joul o Rh i Eii d holo I: 39-63 I: 3-738 VRIE OF IME O RERUIME FOR ILE RDE MOWER EM WI DIFFERE EO FOR EXI D WO E OF DEIIO VI WO REOLD IVOLVI WO OMOE. Rvihd. iiv i oo i Mhi R Eii oll RM ROU ih

More information

Suggested Solution for Pure Mathematics 2011 By Y.K. Ng (last update: 8/4/2011) Paper I. (b) (c)

Suggested Solution for Pure Mathematics 2011 By Y.K. Ng (last update: 8/4/2011) Paper I. (b) (c) per I. Le α 7 d β 7. The α d β re he roos o he equio, such h α α, β β, --- α β d αβ. For, α β For, α β α β αβ 66 The seme is rue or,. ssume Cosider, α β d α β y deiiio α α α α β or some posiive ieer.

More information

Summary: Binomial Expansion...! r. where

Summary: Binomial Expansion...! r. where Summy: Biomil Epsio 009 M Teo www.techmejcmth-sg.wes.com ) Re-cp of Additiol Mthemtics Biomil Theoem... whee )!!(! () The fomul is ville i MF so studets do ot eed to memoise it. () The fomul pplies oly

More information

FBD of SDOF Base Excitation. 2.4 Base Excitation. Particular Solution (sine term) SDOF Base Excitation (cont) F=-(-)-(-)= 2ζω ωf

FBD of SDOF Base Excitation. 2.4 Base Excitation. Particular Solution (sine term) SDOF Base Excitation (cont) F=-(-)-(-)= 2ζω ωf .4 Base Exiaio Ipoa lass of vibaio aalysis Peveig exiaios fo passig fo a vibaig base hough is ou io a suue Vibaio isolaio Vibaios i you a Saellie opeaio Dis dives, e. FBD of SDOF Base Exiaio x() y() Syse

More information

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

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

More information

Relaxation and Creep in Twist and Flexure

Relaxation and Creep in Twist and Flexure RELION ND REEP IN WIS ND FLEURE Relxio d ee i wis d Flexue V Koelev s he i of he e is o deive he ex lyil exessios fo osio d edig ee of ods wih he Noo-iley Goflo d Nueo-leh-Gosh osiuive odels hese sile

More information

ON THE RELATION OF DELAY EQUATIONS TO FIRST- ORDER HYPERBOLIC PARTIAL DIFFERENTIAL EQUATIONS

ON THE RELATION OF DELAY EQUATIONS TO FIRST- ORDER HYPERBOLIC PARTIAL DIFFERENTIAL EQUATIONS O THE ELATIO OF DELAY EQUATIOS TO FIST- ODE HYPEBOLIC PATIAL DIFFEETIAL EQUATIOS Io Kfyi * d Mio Ki ** * Dee of Mei io Tei Uieiy of Ae Zogfou Cu 578 Ae Geee ei iok@e.u.g ** De. of Mei d Aeoe Eg. Uieiy

More information

ME 501A Seminar in Engineering Analysis Page 1

ME 501A Seminar in Engineering Analysis Page 1 Powe Seies Solutios Foeius Metho Septee 6, 7 Powe Seies Solutios Foeius etho L Cetto Mehil Egieeig 5AB Sei i Egieeig Alsis Otoe 6, 7 Outlie Review lst wee Powe seies solutios Geel ppoh Applitio Foeius

More information

Invert and multiply. Fractions express a ratio of two quantities. For example, the fraction

Invert 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 information

Journal of Engineering Science and Technology Review 6 (1) (2013) Research Article

Journal of Engineering Science and Technology Review 6 (1) (2013) Research Article Jes Jol of Egieeig Siee d Tehology Review 9 - Reseh ile JOURNL OF Egieeig Siee d Tehology Review www.es.og High-esolio shee sed o he deeied oeffiie ehod d is ppliio Teg WU,* d Ligli WU College of Ho, Cosl

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

Ans: 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

Ans: 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 information

«A first lesson on Mathematical Induction»

«A first lesson on Mathematical Induction» Bcgou ifotio: «A fist lesso o Mtheticl Iuctio» Mtheticl iuctio is topic i H level Mthetics It is useful i Mtheticl copetitios t ll levels It hs bee coo sight tht stuets c out the poof b theticl iuctio,

More information

Baltimore County ARML Team Formula Sheet, v2.1 (08 Apr 2008) By Raymond Cheong. Difference of squares Difference of cubes Sum of cubes.

Baltimore County ARML Team Formula Sheet, v2.1 (08 Apr 2008) By Raymond Cheong. Difference of squares Difference of cubes Sum of cubes. Bltimoe Couty ARML Tem Fomul Seet, v. (08 Ap 008) By Rymo Ceog POLYNOMIALS Ftoig Diffeee of sques Diffeee of ues Sum of ues Ay itege O iteges ( )( ) 3 3 ( )( ) 3 3 ( )( ) ( )(... ) ( )(... ) Biomil expsio

More information

10.3 The Quadratic Formula

10.3 The Quadratic Formula . Te Qudti Fomul We mentioned in te lst setion tt ompleting te sque n e used to solve ny qudti eqution. So we n use it to solve 0. We poeed s follows 0 0 Te lst line of tis we ll te qudti fomul. Te Qudti

More information

The Complete Graph: Eigenvalues, Trigonometrical Unit-Equations with associated t-complete-eigen Sequences, Ratios, Sums and Diagrams

The Complete Graph: Eigenvalues, Trigonometrical Unit-Equations with associated t-complete-eigen Sequences, Ratios, Sums and Diagrams The Complee Gph: Eigevlues Tigoomeicl Ui-Equios wih ssocied -Complee-Eige Sequeces Rios Sums d Digms Pul ugus Wie* Col Lye Jessop dfdeemi Je dewusi bsc The complee gph is ofe used o veify cei gph heoeicl

More information

Generalized Fibonacci-Type Sequence and its Properties

Generalized Fibonacci-Type Sequence and its Properties Geelized Fibocci-Type Sequece d is Popeies Ompsh Sihwl shw Vys Devshi Tuoil Keshv Kuj Mdsu (MP Idi Resech Schol Fculy of Sciece Pcific Acdemy of Highe Educio d Resech Uivesiy Udipu (Rj Absc: The Fibocci

More information

2.Decision Theory of Dependence

2.Decision Theory of Dependence .Deciio Theoy of Depedece Theoy :I et of vecto if thee i uet which i liely depedet the whole et i liely depedet too. Coolly :If the et i liely idepedet y oepty uet of it i liely idepedet. Theoy : Give

More information

ON THE EXTENSION OF WEAK ARMENDARIZ RINGS RELATIVE TO A MONOID

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

More information

STATICS. CENTROIDS OF MASSES, AREAS, LENGTHS, AND VOLUMES The following formulas are for discrete masses, areas, lengths, and volumes: r c

STATICS. CENTROIDS OF MASSES, AREAS, LENGTHS, AND VOLUMES The following formulas are for discrete masses, areas, lengths, and volumes: r c STTS FORE foe is veto qutit. t is defied we its () mgitude, () oit of litio, d () dietio e kow. Te veto fom of foe is F F i F j RESULTNT (TWO DMENSONS) Te esultt, F, of foes wit omoets F,i d F,i s te mgitude

More information

ME 501A Seminar in Engineering Analysis Page 1

ME 501A Seminar in Engineering Analysis Page 1 Fobeius ethod pplied to Bessel s Equtio Octobe, 7 Fobeius ethod pplied to Bessel s Equtio L Cetto Mechicl Egieeig 5B Sei i Egieeig lsis Octobe, 7 Outlie Review idte Review lst lectue Powe seies solutios/fobeius

More information

Clicks, concurrency and Khoisan

Clicks, concurrency and Khoisan Poooy 31 (2014). Sueey ei Cic, cocuecy Koi Jui Bie Uiveiy o Eiu Sueey ei Aeix: Tciio Ti Aeix y ou e coex ei ioy o oio ue o e ou o!xóõ i e iy ouce. 1 Iii o-cic Te o-cic iii e oy ii o oe ue, o ee i ie couio

More information

). So the estimators mainly considered here are linear

). So the estimators mainly considered here are linear 6 Ioic Ecooică (4/7 Moe Geel Cedibiliy Models Vigii ATANASIU Dee o Mheics Acdey o Ecooic Sudies e-il: vigii_siu@yhooco This couicio gives soe exesios o he oigil Bühl odel The e is devoed o sei-lie cedibiliy

More information

Thomas J. Osler Mathematics Department Rowan University Glassboro NJ Introduction

Thomas J. Osler Mathematics Department Rowan University Glassboro NJ Introduction Ot 0 006 Euler s little summtio formul d speil vlues of te zet futio Toms J Osler temtis Deprtmet Row Uiversity Glssboro J 0608 Osler@rowedu Itrodutio I tis ote we preset elemetry metod of determiig vlues

More information

Ultrahigh Frequency Generation in GaAs-type. Two-Valley Semiconductors

Ultrahigh Frequency Generation in GaAs-type. Two-Valley Semiconductors Adv. Sudies Theo. Phys. Vol. 3 9 o. 8 93-98 lhigh Fequecy Geeio i GAs-ype Two-Vlley Seicoducos.. sov. K. Gsiov A. Z. Phov d A.. eiel Bu Se ivesiy 3 Z. Khlilov s. Az 48 Bu ciy- Physicl siue o he Azebij

More information

UNIT V: Z-TRANSFORMS AND DIFFERENCE EQUATIONS. Dr. V. Valliammal Department of Applied Mathematics Sri Venkateswara College of Engineering

UNIT V: Z-TRANSFORMS AND DIFFERENCE EQUATIONS. Dr. V. Valliammal Department of Applied Mathematics Sri Venkateswara College of Engineering UNIT V: -TRANSFORMS AND DIFFERENCE EQUATIONS D. V. Vllimml Deptmet of Applied Mthemtics Si Vektesw College of Egieeig TOPICS:. -Tsfoms Elemet popeties.. Ivese -Tsfom usig ptil fctios d esidues. Covolutio

More information

Properties of Addition and Multiplication. For Addition Name of Property For Multiplication

Properties of Addition and Multiplication. For Addition Name of Property For Multiplication Nottio d Sols Tpes of Nues Ntul Nues (Coutig Nues): N = {,, 3, 4, 5, 6,...} Wole Nues: W = { 0,,, 3, 4, 5, 6,...} Iteges: Z = {..., 4, 3,,, 0,,, 3, 4,...} Rtiol Nues: tiol ue is ue tt e witte i te fo of

More information

BINOMIAL THEOREM SOLUTION. 1. (D) n. = (C 0 + C 1 x +C 2 x C n x n ) (1+ x+ x 2 +.)

BINOMIAL THEOREM SOLUTION. 1. (D) n. = (C 0 + C 1 x +C 2 x C n x n ) (1+ x+ x 2 +.) BINOMIAL THEOREM SOLUTION. (D) ( + + +... + ) (+ + +.) The coefficiet of + + + +... + fo. Moeove coefficiet of is + + + +... + if >. So. (B)... e!!!! The equied coefficiet coefficiet of i e -.!...!. (A),

More information

Lecture 3 summary. C4 Lecture 3 - Jim Libby 1

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

More information

Chapter 6 Perturbation theory

Chapter 6 Perturbation theory Ct 6 Ptutio to 6. Ti-iddt odgt tutio to i o tutio sst is giv to fid solutios of λ ' ; : iltoi of si stt : igvlus of : otool igfutios of ; δ ii Rlig-Södig tutio to ' λ..6. ; : gl iltoi ': tutio λ : sll

More information

DERIVING THE DEMAND CURVE ASSUMING THAT THE MARGINAL UTILITY FUNCTIONS ARE LINEAR

DERIVING THE DEMAND CURVE ASSUMING THAT THE MARGINAL UTILITY FUNCTIONS ARE LINEAR Bllei UASVM, Horilre 65(/008 pissn 1843-554; eissn 1843-5394 DERIVING THE DEMAND CURVE ASSUMING THAT THE MARGINAL UTILITY FUNCTIONS ARE LINEAR Crii C. MERCE Uiveriy of Agrilrl iee d Veeriry Mediie Clj-Npo,

More information

ME 501A Seminar in Engineering Analysis Page 1

ME 501A Seminar in Engineering Analysis Page 1 Seod ad igher Order Liear Differeial Equaios Oober 9, 7 Seod ad igher Order Liear Differeial Equaios Larr areo Mehaial Egieerig 5 Seiar i Egieerig alsis Oober 9, 7 Oulie Reiew las lass ad hoewor ppl aerial

More information

Parametric Methods. Autoregressive (AR) Moving Average (MA) Autoregressive - Moving Average (ARMA) LO-2.5, P-13.3 to 13.4 (skip

Parametric Methods. Autoregressive (AR) Moving Average (MA) Autoregressive - Moving Average (ARMA) LO-2.5, P-13.3 to 13.4 (skip Pmeti Methods Autoegessive AR) Movig Avege MA) Autoegessive - Movig Avege ARMA) LO-.5, P-3.3 to 3.4 si 3.4.3 3.4.5) / Time Seies Modes Time Seies DT Rdom Sig / Motivtio fo Time Seies Modes Re the esut

More information

Some algorthim for solving system of linear volterra integral equation of second kind by using MATLAB 7 ALAN JALAL ABD ALKADER

Some algorthim for solving system of linear volterra integral equation of second kind by using MATLAB 7 ALAN JALAL ABD ALKADER . Soe lgoi o solving syse o line vole inegl eqion o second ind by sing MATLAB 7 ALAN JALAL ABD ALKADER College o Edcion / Al- Msnsiiy Univesiy Depen o Meics تقديم البحث :-//7 قبول النشر:- //. Absc ( /

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

Week 8 Lecture 3: Problems 49, 50 Fourier analysis Courseware pp (don t look at French very confusing look in the Courseware instead)

Week 8 Lecture 3: Problems 49, 50 Fourier analysis Courseware pp (don t look at French very confusing look in the Courseware instead) Week 8 Lecure 3: Problems 49, 5 Fourier lysis Coursewre pp 6-7 (do look Frech very cofusig look i he Coursewre ised) Fourier lysis ivolves ddig wves d heir hrmoics, so i would hve urlly followed fer he

More information

African Journal of Science and Technology (AJST) Science and Engineering Series Vol. 4, No. 2, pp GENERALISED DELETION DESIGNS

African Journal of Science and Technology (AJST) Science and Engineering Series Vol. 4, No. 2, pp GENERALISED DELETION DESIGNS Af Joul of See Tehology (AJST) See Egeeg See Vol. 4, No.,. 7-79 GENERALISED DELETION DESIGNS Mhel Ku Gh Joh Wylff Ohbo Dee of Mhe, Uvey of Nob, P. O. Bo 3097, Nob, Key ABSTRACT:- I h e yel gle ele fol

More information

2. Elementary Linear Algebra Problems

2. Elementary Linear Algebra Problems . Eleety e lge Pole. BS: B e lge Suoute (Pog pge wth PCK) Su of veto opoet:. Coputto y f- poe: () () () (3) N 3 4 5 3 6 4 7 8 Full y tee Depth te tep log()n Veto updte the f- poe wth N : ) ( ) ( ) ( )

More information

Simple Methods for Stability Analysis of Nonlinear Control Systems

Simple Methods for Stability Analysis of Nonlinear Control Systems Poeeig of he Wol Coge o Egieeig Coe Siee 009 Vol II WCECS 009, Ooe 0-, 009, S Fio, USA Sile Meho fo Sili Ali of Nolie Cool Se R. Moek, Mee, IAENG, I. Sv, P. Pivoňk, P. Oe, M. Se A Thee eho fo ili li of

More information

IMACS CONTROL ELECTRONICS

IMACS CONTROL ELECTRONICS e Io ell el e d peop (I) I OO OI ee Iuo of o e Oevoe ee de, lfo 0 O () () I ex ee I le of oe.do ex ee I lo. le: I ove ee ze: le: l e:. I evo: Il e: e: ep00 :0:. ee 0 of 0 le: :\OI\I u 0\oo ool ye\i oo

More information

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

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

More information

Dividing Algebraic Fractions

Dividing Algebraic Fractions Leig Eheme Tem Model Awe: Mlilig d Diidig Algei Fio Mlilig d Diidig Algei Fio d gide ) Yo e he me mehod o mlil lgei io o wold o mlil meil io. To id he meo o he we o mlil he meo o he io i he eio. Simill

More information

STUDY PACKAGE. Subject : Mathematics Topic : DETERMINANTS & MATRICES Available Online :

STUDY PACKAGE. Subject : Mathematics Topic : DETERMINANTS & MATRICES Available Online : o/u opkj Hkh# tu] ugh vkjehks dke] oi s[k NksM+s qj e/;e eu dj ';kea iq#"k lg ldyi dj] lgs oi vusd] ^uk^ u NksM+s /;s; dks] j?kqj jk[ks VsdAA jp% ekuo /kez iz.ksk l~q# Jh j.knksm+klth egkjkt STUDY PAKAGE

More information

Handout on. Crystal Symmetries and Energy Bands

Handout on. Crystal Symmetries and Energy Bands dou o Csl s d g Bds I hs lu ou wll l: Th loshp bw ss d g bds h bs of sp-ob ouplg Th loshp bw ss d g bds h ps of sp-ob ouplg C 7 pg 9 Fh Coll Uvs d g Bds gll hs oh Th sl pol ss ddo o h l slo s: Fo pl h

More information

UBI External Keyboard Technical Manual

UBI External Keyboard Technical Manual UI Eer eyor ei u EER IORIO ppiio o Ue ouiio e Eer eyor rie uer 12911 i R 232 eyor iee or oeio o e re o UI Eyoer prier Eyoer 11 Eyoer 21 II Eyoer 41 Eyoer 1 Eyoer 1 e eyor o e ue or oer UI prier e e up

More information

-Z ONGRE::IONAL ACTION ON FY 1987 SUPPLEMENTAL 1/1

-Z ONGRE::IONAL ACTION ON FY 1987 SUPPLEMENTAL 1/1 -Z-433 6 --OGRE::OA ATO O FY 987 SUPPEMETA / APPR)PRATO RfQUEST PAY AD PROGRAM(U) DE ARTMET OF DEES AS O' D 9J8,:A:SF ED DEFS! WA-H ODM U 7 / A 25 MRGOPf RESOUTO TEST HART / / AD-A 83 96 (~Go w - %A uj

More information

F.Y. Diploma : Sem. II [CE/CR/CS] Applied Mathematics

F.Y. Diploma : Sem. II [CE/CR/CS] Applied Mathematics F.Y. Diplom : Sem. II [CE/CR/CS] Applied Mhemics Prelim Quesio Pper Soluio Q. Aemp y FIVE of he followig : [0] Q. () Defie Eve d odd fucios. [] As.: A fucio f() is sid o e eve fucio if f() f() A fucio

More information

NEIGHBOURHOODS OF A CERTAIN SUBCLASS OF STARLIKE FUNCTIONS. P. Thirupathi Reddy. E. mail:

NEIGHBOURHOODS OF A CERTAIN SUBCLASS OF STARLIKE FUNCTIONS. P. Thirupathi Reddy. E. mail: NEIGHOURHOOD OF CERTIN UCL OF TRLIKE FUNCTION P Tirupi Reddy E mil: reddyp@yooom sr: Te im o is pper is o rodue e lss ( sulss o ( sisyig e odio wi is ( ) p < 0< E We sudy eigouroods o is lss d lso prove

More information

Hyperbolic Heat Equation as Mathematical Model for Steel Quenching of L-shape and T-shape Samples, Direct and Inverse Problems

Hyperbolic Heat Equation as Mathematical Model for Steel Quenching of L-shape and T-shape Samples, Direct and Inverse Problems SEAS RANSACIONS o HEA MASS RANSER Bos M Be As Bs Hpeo He Eo s Me Moe o See Qe o L-spe -spe Spes De Iese Poes ABIA BOBINSKA o Pss Mes es o L Ze See 8 L R LAIA e@o MARARIA BIKE ANDRIS BIKIS Ise o Mes Cope

More information

Nonlocal Boundary Value Problem for Nonlinear Impulsive q k Symmetric Integrodifference Equation

Nonlocal Boundary Value Problem for Nonlinear Impulsive q k Symmetric Integrodifference Equation OSR ol o Mec OSR-M e-ssn: 78-578 -SSN: 9-765X Vole e Ve M - A 7 PP 95- wwwojolog Nolocl Bo Vle Poble o Nole lve - Sec egoeece Eo Log Ceg Ceg Ho * Yeg He ee o Mec Yb Uve Yj PR C Abc: A oe ole lve egoeece

More information

On Almost Increasing Sequences For Generalized Absolute Summability

On Almost Increasing Sequences For Generalized Absolute Summability Joul of Applied Mthetic & Bioifotic, ol., o., 0, 43-50 ISSN: 79-660 (pit), 79-6939 (olie) Itetiol Scietific Pe, 0 O Alot Iceig Sequece Fo Geelized Abolute Subility W.. Suli Abtct A geel eult coceig bolute

More information

The formulae in this booklet have been arranged according to the unit in which they are first

The formulae in this booklet have been arranged according to the unit in which they are first Fomule Booklet Fomule Booklet The fomule ths ooklet hve ee ge og to the ut whh the e fst toue. Thus te sttg ut m e eque to use the fomule tht wee toue peeg ut e.g. tes sttg C mght e epete to use fomule

More information

Silv. Criteria Met? Condition

Silv. Criteria Met? Condition NEWERRY FORET MGT UNIT Ifomio Compm: 106 Ey Y: 2001 iz oy- kg g vg. To. i 1 Q 6 Q 2 48 115 9 100 35 mix wmp mu Y o hul 0 j low i Ro (ou o ply vilbl) h o h ouhw wih 10' f. Culy o o hough PVT popy o hi.

More information

Area. Ⅱ Rectangles. Ⅲ Parallelograms A. Ⅳ Triangles. ABCD=a 2 The area of a square of side a is a 2

Area. Ⅱ Rectangles. Ⅲ Parallelograms A. Ⅳ Triangles. ABCD=a 2 The area of a square of side a is a 2 Ⅰ Sques e Letue: iu ng Mtemtis dution oundtion Pesident Wen-Hsien SUN Ⅱ Retngles = Te e of sque of side is Ⅲ Pllelogms = Te e of etngle of sides nd is = Te e of pllelogm is te podut of te lengt of one

More information

K owi g yourself is the begi i g of all wisdo.

K owi g yourself is the begi i g of all wisdo. I t odu tio K owi g yourself is the begi i g of all wisdo. A istotle Why You Need Insight Whe is the last ti e ou a e e e taki g ti e to thi k a out ou life, ou alues, ou d ea s o ou pu pose i ei g o this

More information

Supplementary Information

Supplementary Information Supplemeay Ifomaio No-ivasive, asie deemiaio of he coe empeaue of a hea-geeaig solid body Dea Ahoy, Daipaya Saka, Aku Jai * Mechaical ad Aeospace Egieeig Depame Uivesiy of Texas a Aligo, Aligo, TX, USA.

More information

Introduction to Matrix Algebra

Introduction to Matrix Algebra Itrodutio to Mtri Alger George H Olso, Ph D Dotorl Progrm i Edutiol Ledership Applhi Stte Uiversit Septemer Wht is mtri? Dimesios d order of mtri A p q dimesioed mtri is p (rows) q (olums) rr of umers,

More information

SPH3UW Unit 7.5 Snell s Law Page 1 of Total Internal Reflection occurs when the incoming refraction angle is

SPH3UW Unit 7.5 Snell s Law Page 1 of Total Internal Reflection occurs when the incoming refraction angle is SPH3UW Uit 7.5 Sell s Lw Pge 1 of 7 Notes Physis Tool ox Refrtio is the hge i diretio of wve due to hge i its speed. This is most ommoly see whe wve psses from oe medium to other. Idex of refrtio lso lled

More information

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

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

More information

Chapter 1 Electromagnetic Field Theory

Chapter 1 Electromagnetic Field Theory hpe ecgeic Fie The - ecic Fie ecic Dipe Gu w f : S iegece he ε = 6 fee pce. F q fie pi q q 9 F/ i he. ue e f icee chge: qk k k k ue uce ρ Sufce uce ρ S ie uce ρ qq qq g. Shw h u w F whee. q Pf F q S q

More information

LINEAR 2 nd ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS

LINEAR 2 nd ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS Diol Bgyoko (0) I.INTRODUCTION LINEAR d ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS I. Dfiiio All suh diffril quios s i h sdrd or oil form: y + y + y Q( x) dy d y wih y d y d dx dx whr,, d

More information

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

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

More information

NATIONAL OPEN UNIVERSITY OF NIGERIA

NATIONAL OPEN UNIVERSITY OF NIGERIA NATIONAL OPEN UNIVERSITY OF NIGERIA SCHOOL OF SCIENCE AND TECHNOLOGY COURSE CODE: MTH - COURSE TITLE: ELEMENTARY DIFFERENTIAL EQUATIONS II MTH - ELEMENTARY DIFFERENTIAL EQUATIONS II Couse Te: D. O.J. Adei

More information

Rectangular Waveguides

Rectangular Waveguides Rtgulr Wvguids Wvguids tt://www.tllguid.o/wvguidlirit.tl Uss To rdu ttutio loss ig rquis ig owr C ort ol ov rti rquis Ats s ig-ss iltr Norll irulr or rtgulr W will ssu losslss rtgulr tt://www..surr..u/prsol/d.jris/wguid.tl

More information

M5. LTI Systems Described by Linear Constant Coefficient Difference Equations

M5. LTI Systems Described by Linear Constant Coefficient Difference Equations 5. LTI Systes Descied y Lie Costt Coefficiet Diffeece Equtios Redig teil: p.34-4, 245-253 3/22/2 I. Discete-Tie Sigls d Systes Up til ow we itoduced the Fouie d -tsfos d thei popeties with oly ief peview

More information

JHC series electrical connector

JHC series electrical connector i lil oo i iouio oli wi I-- Ⅲ i i- ui ouli wi i-looi i ll iz, li i wi, i o iy I/I ili ovl i o, oo-oo i ii i viio u i u, li i vio li wi,, oi,. liio: i il ii [il] oui: luiu lloy, il l li: - y iu li lol il

More information

David Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition.

David Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition. ! Revised April 21, 2010 1:27 P! 1 Fourier Series David Radall Assume ha u( x,) is real ad iegrable If he domai is periodic, wih period L, we ca express u( x,) exacly by a Fourier series expasio: ( ) =

More information

SHINGLETON FOREST AREA Stand Level Information Compartment: 44 Entry Year: 2009

SHINGLETON FOREST AREA Stand Level Information Compartment: 44 Entry Year: 2009 iz y U oy- kg g vg. To. i Ix Mg * "Compm Pk Gloy of Tm" oum lik o wb i fo fuh ipio o fiiio. Coiio ilv. Cii M? Mho Cu Tm. Pio v Pioiy Culul N 1 5 3 13 60 7 50 42 blk pu-wmp ol gowh N 20-29 y (poil o ul)

More information

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o u l d a l w a y s b e t a k e n, i n c l u d f o l

More information

PROGRESSION AND SERIES

PROGRESSION AND SERIES INTRODUCTION PROGRESSION AND SERIES A gemet of umbes {,,,,, } ccodig to some well defied ule o set of ules is clled sequece Moe pecisely, we my defie sequece s fuctio whose domi is some subset of set of

More information

148 CIVIL ENGINEERING

148 CIVIL ENGINEERING STRUTUR NYSS fluee es fo Bems d Tusses fluee le sows te vto of effet (eto, se d momet ems, foe tuss) used movg ut lod oss te stutue. fluee le s used to deteme te posto of movele set of lods tt uses te

More information

Kornit Digital Ltd. 5 David Navon St. P.O.B. 8406, Magshimim, Israel, 56910, Tel: , Fax: Cataloge No.

Kornit Digital Ltd. 5 David Navon St. P.O.B. 8406, Magshimim, Israel, 56910, Tel: , Fax: Cataloge No. E. EIPIO E PPOE /MM/YYYY K- L L L. MI MP LIE.... LO FILE 0 0 0 0 0 0 MP 0 MP P L + G 0 H00- (MP) P 00 J P ( 0) L J0 MOIO ( 0) - L 0v v v G 0v L E ' LK ' G/ 0 0 0 J P/ (MF 0PI) 0 J P/ (MF 0PI) 0 G/ F MP

More information

Easy Steps to build a part number... Tri-Start Series III CF P

Easy Steps to build a part number... Tri-Start Series III CF P ulti-l i Oti iul ( oto) ow to O ol os sy ts to uil t u... i-tt is 1. 2 3 4. 5. 6. oto y til iis ll tyl ll iz- st t ott y & y/ ywy ositio 50 9 0 17-08 ol ulti-l i oti otos o us wit ulti-o sil o tii o y

More information

MA 1201 Engineering Mathematics MO/2017 Tutorial Sheet No. 2

MA 1201 Engineering Mathematics MO/2017 Tutorial Sheet No. 2 BIRLA INSTITUTE OF TECHNOLOGY, MESRA, RANCHI DEPARTMENT OF MATHEMATICS MA Egieeig Matheatis MO/7 Tutoia Sheet No. Modue IV:. Defie Beta futio ad Gaa futio.. Pove that,,,. Pove that, d. Pove that. & whee

More information

Equations from the Millennium Theory of Inertia and Gravity. Copyright 2004 Joseph A. Rybczyk

Equations from the Millennium Theory of Inertia and Gravity. Copyright 2004 Joseph A. Rybczyk Equtions fo the illenniu heoy of Ineti nd vity Copyight 004 Joseph A. Rybzyk ollowing is oplete list of ll of the equtions used o deived in the illenniu heoy of Ineti nd vity. o ese of efeene the equtions

More information

Agenda Rationale for ETG S eek ing I d eas ETG fram ew ork and res u lts 2

Agenda Rationale for ETG S eek ing I d eas ETG fram ew ork and res u lts 2 Internal Innovation @ C is c o 2 0 0 6 C i s c o S y s t e m s, I n c. A l l r i g h t s r e s e r v e d. C i s c o C o n f i d e n t i a l 1 Agenda Rationale for ETG S eek ing I d eas ETG fram ew ork

More information

x a y n + b = 1 0<b a, n > 0 (1.1) x 1 - a y = b 0<b a, n > 0 (1.1') b n sin 2 + cos 2 = 1 x n = = cos 2 6 Superellipse (Lamé curve)

x a y n + b = 1 0<b a, n > 0 (1.1) x 1 - a y = b 0<b a, n > 0 (1.1') b n sin 2 + cos 2 = 1 x n = = cos 2 6 Superellipse (Lamé curve) 6 Supeellipse (Lmé cuve) 6. Equtios of supeellipse A supeellipse (hoizotlly log) is epessed s follows. Implicit Equtio y + b 0 0 (.) Eplicit Equtio y b - 0 0 (.') Whe 3, b, the supeellipses fo

More information

Introduction to Finite Element Method

Introduction to Finite Element Method p. o C d Eo E. Iodo o E Mod s H L p. o C d Eo E o o s Ass L. o. H L p://s.s.. p. o C d Eo E. Cos. Iodo. Appoo o os & o Cs. Eqos O so. Mdso os-es 5. szo 6. wo so Es os 7. os ps o Es 8. Io 9. Co C Isop E.

More information

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s A g la di ou s F. L. 462 E l ec tr on ic D ev el op me nt A i ng er A.W.S. 371 C. A. M. A l ex an de r 236 A d mi ni st ra ti on R. H. (M rs ) A n dr ew s P. V. 326 O p ti ca l Tr an sm is si on A p ps

More information

Multi-Electron Atoms-Helium

Multi-Electron Atoms-Helium Multi-lecto Atos-Heliu He - se s H but with Z He - electos. No exct solutio of.. but c use H wve fuctios d eegy levels s sttig poit ucleus sceeed d so Zeffective is < sceeig is ~se s e-e epulsio fo He,

More information

I N A C O M P L E X W O R L D

I N A C O M P L E X W O R L D IS L A M I C E C O N O M I C S I N A C O M P L E X W O R L D E x p l o r a t i o n s i n A g-b eanste d S i m u l a t i o n S a m i A l-s u w a i l e m 1 4 2 9 H 2 0 0 8 I s l a m i c D e v e l o p m e

More information