Model of the multi-level laser
|
|
- Peregrine Gilbert
- 5 years ago
- Views:
Transcription
1 Modl of th multilvl lsr Trih Dih Chi Fulty of Physis, Collg of turl Sis, oi tiol Uivrsity Tr Mh ug, Dih u Kho Fulty of Physis, Vih Uivrsity Astrt. Th lsr hrtristis dpd o th rgylvl digrm. A rsol rgylvl digrm is omputd to dsig optiml lsr with high ffiiy, oislss. W prst th modl of fivlvl lsr. Som lsr hrtristis suh s rltiv popultio ivrsio, pumpig thrshold, qutum ffiiy r ivstigtd. Th lvl lsr modl is possil prstd. I. Itrodutio Lvl digrm d lvl digrm sltio ply vry importt rol i th thory d i oprtio of lsr. A suitl lvl digrm sltio givs my dvtgs for lsr, suh s: high output, o itrfr, moohromti pump is ot dd. I this rtil, w propos lsr whih works o rgy lvl lsr. Th symols usd i this rtil: i: i th rgy lvl (i,,, i : Th umr of toms hvig i th rgy lvl i volum uit of tiv mdium. : Totl umr of toms i volum uit of tiv sust tkig prt i lsr kiti pross. : Proility of rditio trsitio du to idutio from (m lvl to ( lvl ( m. : Proility of orditio trsitio from (m lvl to ( lvl. ( m : Proility of trsitio from (m lvl to ( lvl du to othr rsos, suh s: utotrsitio, trsitio du to sttrig m : Asorptio proility of tom from si lvl (lvl to lvl m (F m osidrd s pumpig rt of lsr d m is proportiol to pumpig rgy. G i : i th lvl sttistil wight umr. : Popultio ivrsio sity tw lvls of lsr. α: Rltiv popultio ivrsio. h : Plk ostt. Q: Qulity of rsotor. G(:Rormliztio futio, spifi hrtristi of rditio or sorptio sptrum roig. : Light frquy tw lvl m d lvl ordig to Bohr xiom. It is prov tht th oditio to hv lsr rditio is: [] Grtio thrshold oditio: 9
2 h.q.g(.r 0 or: 0 α ( II. Thr lvl lsr d Fourlvl lsr For ovit ompriso, w itrodu th lultig rsults for thrlvl lsr d fourlvl lsr (Fig. d Fig.. II. Thrlvl lsr * Rltiv popultio ivrsio: g K ( g *So: [ K + (K ] + ( ( * Pumpig thrshold oditio: from ( d ( w hv: Fig.. ( ( ( Puttig: α.( + + K + (K g ( + α( ; K + (k ; + lds to: α + g ( α II. Fourlvl lsr * Rltiv popultio ivrsio: * Puttig: [ K + (K ] + ( + + ( + [ K + (K ] ( + + ( lds to pumpig thrshold: + ( + Fig.. ( ( ( ( (6 α + g (7 α 9
3 III. Fivlvl lsr III. Workig shm Th workig shm of fivrgy lvl lsr is show i Fig.. Lvl ( is th si lvl; lvls ( d ( r xitd lvls d hv rltiv lrg lvl wihs. Lvl (, ( d ( r vry los togthr. Lvl ( d ( r vry los togthr. Th lsr tivity is sd o th popultio ivrsio tw lvl ( d lvl (: g K g I Fig. w do ot show proilitis 9 suh s:,,,,,,, us << ;, << d it is otd tht: 0. ( Fig.., ( (,,,, III. Workig priipl Atoms i si lvl ( r pumpd to th xitd lvls ( d (. Lvls ( d ( hv quit lrg wih lvls so th pump is ot ssrily moohromti. Bus lvls ( d ( r ustl, toms sty thr for short tim, ftr tht th orditiv trsitios of toms from lvls ( d ( to lvl ( our (lvl ( is vry los to lvls ( d (, th trsitio proility from lvl ( to lvl ( is too smll, so w glt it. Lvl ( is osidrd s th suprstl lvl. Lvl ( is hos stisfyig th oditio: if trsitio of toms from lvls (, ( d ( to lvl ( (du to idutio d othr rdom rsos ours, ths toms will mov immditly to th si lvl ( (lvl ( is hos vry los to lvl (. Aftr tim itrvl w hv popultio ivrsio tw lvls ( d ( stisfyig th lsr grt ssry oditio. III. Workig oditio of fivrgy lvl lsr. Lvl ( is supr stl 0. Lvl ( is vry los to lvls ( d (:, >>,,,. Lvl ( is vry los to lvls (: >>,. III. Clultio for fivrgy lvl lsr Th lultio for lsr lvls is sd o th sttig up of quilirium qutios for h lvl tw th umr of toms (i volum uit of tiv mdium movig to th lvl (to irs th popultio d th umr of toms lvig th lvl (to drs th popultio. Usig (+ sig for toms whih irs th popultio d ( sig for toms whih drs th popultio, otig i th tom umr vritio i lvl (i, with fmilir symols, w hv th followig quilirium qutios: ( (
4 Lvl (: (8 Lvl (: (9 Lvl (: ( + (0 Lvl (: ( + + ( + ( Th totl umr of toms of tiv mdium tkig prt th lsr kiti pross is ostt: ost ( Lvls ( d ( stisfy Boltzm distriutio: xp( ( At sttiory stts w hv: i 0 (i,,,, ( Usig sttiory oditio (, from (8, (9 d (0 w oti: ( + + ( + 0 ( otig tht: m, m, from ( d ( w hv: So: + + k K + O th othr hd, from (8, (9, (, ( d (6 o hs: + + ( From (7 d (8 w hv th formul for rltiv popultio ivrsio: [ K + (k ] 9 (7 (8 ( + (9 + + ( + + ( + + ( + + ( + I ordr to oti th xprssio for pump thrshold, w itrodu th offiit β: β (β > 0 (0 Puttig: + Lds to: β + ; β ( + β Whr is pump rt offiit of toms from th si lvl ( to uppr lvl ( d (. With th ottios: [ K + (k ]
5 ( + + ( + ( β + β + ( + + ( + + β + β w oti th pump limit xprssio lik tht of thrlvl d fourlvl lsr: α + g ( α Filly, w fid th xprssio for qutum ffiiy η of fivlvl lsr (qutum ffiiy is th rtio tw th rgy of grtd lsr ry d th pump rgy: η From ( w hv: ( + η + ( ( (β + (β + ( ( + ( III. Evlutio d disussio Exprssio (9 shows tht wh som smll trsitios r gltd, th rltiv popultio ivrsio sity dpds oly o, d,. Th dp of ( / o F is showd i Fig.. Fig. shows tht thr is limit of rltiv ( / popultio ivrsio. This limit quls. i I physil sid, it ms tht lthough my toms r pumpd to lvl (, thr lwys xist idutio rditios whih ld to th rlxtio of lvl (. ot tht i prti ( / dpds ot oly o F ut lso o xtrl ftors suh s, thrml odutivity or mhil durility of high tiv mdium dp of pump limit g(. O α is showd i Fig. If α oms lrg, pump limit lso oms lrg. Formul ( shows tht to sv rgy, w hos th followig ss:. lrg. But this us th followig ostls: lvl ( is quit fr from lvl ( (whih do ot stisfy th workig oditio, low produtivity., >>, : It ms tht lvls ( d ( r vry los togthr. This is rlizl i prti g Fig. Fig. F α
6 ot tht from (9, if puttig 0 w oti (6. So tht fourrgy lvl lsr is oly spil s of fivrgy lvl lsr. Fivlvl lsr hs two dvtgs:. Rduig osidrly th diffrtio so tht th grtd lsr rys r highly moohromti.. ot rquirig too moohromti pump light. This will lrify i Stio 6. III.6 lvl lsr Th shm of lvl lsr is plottd i Fig.6. Lvls,, 6,, r xitd. Lvl is th si lvl. Th workig of th lsr is sd o lvl (, ( ( (or rti p, q stisfyig popultio ivrsio oditio (oditio (. Doig th lultio work lik tht of fivlvl lsr lds to th followig rsult (for lsr whos workig is sd o lvls ( d (. ( ( ( ( [ K + (K ] Fig. 6 k k ( + k + + ( + + ( + k k lvl lsr hs quit lrg pump light sptrum wihs, dpdig o th umr of lvl. Th dft of lvl lsr usully is its ffiiy is lowr th tht of thrlvl or fourlvl lsr. Rfrs [] L.V. Trsov, Lsr physis, Mir. Rulishr, Mosow, 98. [] A. Yriv, Qutum ltrois, Joh Wily & Sos, I, w York,97,. [] M.O. Slly, gtsoy, Ts.. Wlthr, Dymi Cotrol of Miromsr d Lsr Emmisso From Driv ThrLvl Atoms, Opt, Comum,, (79 9, 996. [] Clud Rullir (Ed., Fmtosod lsr Rulss, sprigrvrgg Brli, 998. [] R.. Ptll,.E.Puthoff, Fudmtls of qutum ltrois, Joh Wily & Sos, I, w York,
Linear Algebra Existence of the determinant. Expansion according to a row.
Lir Algbr 2270 1 Existc of th dtrmit. Expsio ccordig to row. W dfi th dtrmit for 1 1 mtrics s dt([]) = (1) It is sy chck tht it stisfis D1)-D3). For y othr w dfi th dtrmit s follows. Assumig th dtrmit
More informationpage 11 equation (1.2-10c), break the bar over the right side in the middle
I. Corrctios Lst Updtd: Ju 00 Complx Vrils with Applictios, 3 rd ditio, A. Dvid Wusch First Pritig. A ook ought for My 007 will proly first pritig With Thks to Christi Hos of Swd pg qutio (.-0c), rk th
More informationEnergy, entropy and work function in a molecule with degeneracy
Avill oli t www.worldsitifiws.om WS 97 (08) 50-57 EISS 39-9 SHOR COMMICAIO Ergy, tropy d work futio i molul with dgry Mul Mlvr Dprtmt of si Sis, Mritim ivrsity of th Cri, Cti l Mr, ul E-mil ddrss: mmf.um@gmil.om
More informationQuantum Mechanics & Spectroscopy Prof. Jason Goodpaster. Problem Set #2 ANSWER KEY (5 questions, 10 points)
Chm 5 Problm St # ANSWER KEY 5 qustios, poits Qutum Mchics & Spctroscopy Prof. Jso Goodpstr Du ridy, b. 6 S th lst pgs for possibly usful costts, qutios d itgrls. Ths will lso b icludd o our futur ms..
More informationASSERTION AND REASON
ASSERTION AND REASON Som qustios (Assrtio Rso typ) r giv low. Ech qustio cotis Sttmt (Assrtio) d Sttmt (Rso). Ech qustio hs choics (A), (B), (C) d (D) out of which ONLY ONE is corrct. So slct th corrct
More informationIIT JEE MATHS MATRICES AND DETERMINANTS
IIT JEE MTHS MTRICES ND DETERMINNTS THIRUMURUGN.K PGT Mths IIT Trir 978757 Pg. Lt = 5, th () =, = () = -, = () =, = - (d) = -, = -. Lt sw smmtri mtri of odd th quls () () () - (d) o of ths. Th vlu of th
More informationTRANSFORMS AND PARTIAL DIFFERENTIAL EQUATIONS
TRANSFORMS AND PARTIAL DIFFERENTIAL EQUATIONS UNIT-I PARTIAL DIFFERENTIAL EQUATIONS PART-A. Elimit th ritrry ott & from = ( + )(y + ) Awr: = ( + )(y + ) Diff prtilly w.r.to & y hr p & q y p = (y + ) ;
More informationTRANSFORMS AND PARTIAL DIFFERENTIAL EQUATIONS
TRANSFORMS AND PARTIAL DIFFERENTIAL EQUATIONS UNIT-I PARTIAL DIFFERENTIAL EQUATIONS PART-A. Elimit th ritrry ott & from = ( + )(y + ) = ( + )(y + ) Diff prtilly w.r.to & y hr p & q p = (y + ) ; q = ( +
More informationChapter 3 Fourier Series Representation of Periodic Signals
Chptr Fourir Sris Rprsttio of Priodic Sigls If ritrry sigl x(t or x[] is xprssd s lir comitio of som sic sigls th rspos of LI systm coms th sum of th idividul rsposs of thos sic sigls Such sic sigl must:
More informationRiemann Integral Oct 31, such that
Riem Itegrl Ot 31, 2007 Itegrtio of Step Futios A prtitio P of [, ] is olletio {x k } k=0 suh tht = x 0 < x 1 < < x 1 < x =. More suitly, prtitio is fiite suset of [, ] otiig d. It is helpful to thik of
More informationCSE303 - Introduction to the Theory of Computing Sample Solutions for Exercises on Finite Automata
CSE303 - Introduction to th Thory of Computing Smpl Solutions for Exrciss on Finit Automt Exrcis 2.1.1 A dtrministic finit utomton M ccpts th mpty string (i.., L(M)) if nd only if its initil stt is finl
More informationCOMP108 Algorithmic Foundations
Grdy mthods Prudn Wong http://www.s.liv..uk/~pwong/thing/omp108/01617 Coin Chng Prolm Suppos w hv 3 typs of oins 10p 0p 50p Minimum numr of oins to mk 0.8, 1.0, 1.? Grdy mthod Lrning outoms Undrstnd wht
More informationSPH3UW 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(2) If we multiplied a row of B by λ, then the value is also multiplied by λ(here lambda could be 0). namely
. DETERMINANT.. Dtrminnt. Introution:I you think row vtor o mtrix s oorint o vtors in sp, thn th gomtri mning o th rnk o th mtrix is th imnsion o th prlllppi spnn y thm. But w r not only r out th imnsion,
More informationWaves in dielectric media. Waveguiding: χ (r ) Wave equation in linear non-dispersive homogenous and isotropic media
Wves i dieletri medi d wveguides Setio 5. I this leture, we will osider the properties of wves whose propgtio is govered by both the diffrtio d ofiemet proesses. The wveguides re result of the ble betwee
More informationNational Quali cations
PRINT COPY OF BRAILLE Ntiol Quli ctios AH08 X747/77/ Mthmtics THURSDAY, MAY INSTRUCTIONS TO CANDIDATES Cdidts should tr thir surm, form(s), dt of birth, Scottish cdidt umbr d th m d Lvl of th subjct t
More informationLINEAR 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 informationChapter 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 informationRight Angle Trigonometry
Righ gl Trigoomry I. si Fs d Dfiiios. Righ gl gl msurig 90. Srigh gl gl msurig 80. u gl gl msurig w 0 d 90 4. omplmry gls wo gls whos sum is 90 5. Supplmry gls wo gls whos sum is 80 6. Righ rigl rigl wih
More informationa f(x)dx is divergent.
Mth 250 Exm 2 review. Thursdy Mrh 5. Brig TI 30 lultor but NO NOTES. Emphsis o setios 5.5, 6., 6.2, 6.3, 3.7, 6.6, 8., 8.2, 8.3, prt of 8.4; HW- 2; Q-. Kow for trig futios tht 0.707 2/2 d 0.866 3/2. From
More informationConstructing solutions using auxiliary vector potentials
58 uilir Vtor Pottil Costrutig solutios usig uilir tor pottils Th obti o M thor is to id th possibl M ild oigurtios (ods or gi boudr lu probl iolig w propgtio rditio or sttrig. This b do b idig th ltri
More informationIntroduction of Fourier Series to First Year Undergraduate Engineering Students
Itertiol Jourl of Adved Reserh i Computer Egieerig & Tehology (IJARCET) Volume 3 Issue 4, April 4 Itrodutio of Fourier Series to First Yer Udergrdute Egieerig Studets Pwr Tejkumr Dtttry, Hiremth Suresh
More informationAir Compressor Driving with Synchronous Motors at Optimal Parameters
Iuliu Petri, Adri Vleti Petri AALELE UIVERSITĂłII EFTIMIE MURGU REŞIłA AUL XVII, R., 010, ISS 1453-7397 Air Compressor Drivig with Syhroous Motors t Optiml Prmeters I this pper method of optiml ompestio
More informationterms of discrete sequences can only take values that are discrete as opposed to
Diol Bgyoko () OWER SERIES Diitio Sris lik ( ) r th sm o th trms o discrt sqc. Th trms o discrt sqcs c oly tk vls tht r discrt s opposd to cotios, i.., trms tht r sch tht th mric vls o two cosctivs os
More informationLectures 2 & 3 - Population ecology mathematics refresher
Lcturs & - Poultio cology mthmtics rrshr To s th mov ito vloig oultio mols, th olloig mthmtics crisht is suli I i out r mthmtics ttook! Eots logrithms i i q q q q q q ( tims) / c c c c ) ( ) ( Clculus
More informationChapter 8 Approximation Methods, Hueckel Theory
Witr 3 Chm 356: Itroductory Qutum Mchics Chptr 8 Approimtio Mthods, ucl Thory... 8 Approimtio Mthods... 8 Th Lir Vritiol Pricipl... mpl Lir Vritios... 3 Chptr 8 Approimtio Mthods, ucl Thory Approimtio
More informationAlgorithmic and NP-Completeness Aspects of a Total Lict Domination Number of a Graph
Intrntionl J.Mth. Comin. Vol.1(2014), 80-86 Algorithmi n NP-Compltnss Aspts of Totl Lit Domintion Numr of Grph Girish.V.R. (PES Institut of Thnology(South Cmpus), Bnglor, Krntk Stt, Ini) P.Ush (Dprtmnt
More informationCREATED USING THE RSC COMMUNICATION TEMPLATE (VER. 2.1) - SEE FOR DETAILS
uortig Iormtio: Pti moiitio oirmtio vi 1 MR: j 5 FEFEFKFK 8.6.. 8.6 1 13 1 11 1 9 8 7 6 5 3 1 FEFEFKFK moii 1 13 1 11 1 9 8 7 6 5 3 1 m - - 3 3 g i o i o g m l g m l - - h k 3 h k 3 Figur 1: 1 -MR or th
More informationMath 61 : Discrete Structures Final Exam Instructor: Ciprian Manolescu. You have 180 minutes.
Nm: UCA ID Numr: Stion lttr: th 61 : Disrt Struturs Finl Exm Instrutor: Ciprin nolsu You hv 180 minuts. No ooks, nots or lultors r llow. Do not us your own srth ppr. 1. (2 points h) Tru/Fls: Cirl th right
More informationIntegration by Guessing
Itgrtio y Gussig Th computtios i two stdrd itgrtio tchiqus, Sustitutio d Itgrtio y Prts, c strmlid y th Itgrtio y Gussig pproch. This mthod cosists of thr stps: Guss, Diffrtit to chck th guss, d th Adjust
More informationQUATERNION ANALYTICITY OF HARMONIC OSCILLATOR
Itrtiol Jourl of Pur d Applid Physis. ISS 97-77 Volum umr 7 pp. -4 Rsrh Idi Pulitios http://www.ripulitio.om QUATRIO AALYTICITY O ARMOIC OSCILLATOR Sm Rwt Dprtmt of Physis Zkir ussi Collg Jwhr hru Mrg
More information{kmaamir,
IEEE --- 5 Itrtiol Cofr o Emrgig Thologis Sptmr - Islmd Khlid Mhmood Amir Mohmmd Ali Mud Asim Lo Lhor Uivrsity of Mgmt Sis Lhor Pist Emil: mmir lo}@lums.du.p Uivrsity of Mgmt d Thology Lhor Pist Emil:
More informationFurther Results on Pair Sum Graphs
Applid Mathmatis, 0,, 67-75 http://dx.doi.org/0.46/am.0.04 Publishd Oli Marh 0 (http://www.sirp.org/joural/am) Furthr Rsults o Pair Sum Graphs Raja Poraj, Jyaraj Vijaya Xavir Parthipa, Rukhmoi Kala Dpartmt
More informationCOLLECTION OF SUPPLEMENTARY PROBLEMS CALCULUS II
COLLECTION OF SUPPLEMENTARY PROBLEMS I. CHAPTER 6 --- Trscdtl Fuctios CALCULUS II A. FROM CALCULUS BY J. STEWART:. ( How is th umbr dfid? ( Wht is pproimt vlu for? (c ) Sktch th grph of th turl potil fuctios.
More informationph controlled assembly of a polybutadiene poly(methacrylic acid) copolymer in water: packing considerations and kinetic limitations
Supplmtry Mtril (ESI) for Soft Mttr This jourl is Th Royl Soity of hmistry 2009 p otroll ssmly of polyuti poly(mthryli i) opolymr i wtr pkig osirtios kiti limittios hristi Fryhough, Athoy J. Ry, Giuspp
More informationWhy the Junction Tree Algorithm? The Junction Tree Algorithm. Clique Potential Representation. Overview. Chris Williams 1.
Why th Juntion Tr lgorithm? Th Juntion Tr lgorithm hris Willims 1 Shool of Informtis, Univrsity of Einurgh Otor 2009 Th JT is gnrl-purpos lgorithm for omputing (onitionl) mrginls on grphs. It os this y
More informationRectangular 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 informationON n-fold FILTERS IN BL-ALGEBRAS
Jourl of Alger Numer Theor: Adves d Applitios Volume 2 Numer 29 Pges 27-42 ON -FOLD FILTERS IN BL-ALGEBRAS M. SHIRVANI-GHADIKOLAI A. MOUSSAVI A. KORDI 2 d A. AHMADI 2 Deprtmet of Mthemtis Trit Modres Uiversit
More informationHow much air is required by the people in this lecture theatre during this lecture?
3 NTEGRATON tgrtio is us to swr qustios rltig to Ar Volum Totl qutity such s: Wht is th wig r of Boig 747? How much will this yr projct cost? How much wtr os this rsrvoir hol? How much ir is rquir y th
More informationCSE 373: AVL trees. Warmup: Warmup. Interlude: Exploring the balance invariant. AVL Trees: Invariants. AVL tree invariants review
rmup CSE 7: AVL trs rmup: ht is n invrint? Mihl L Friy, Jn 9, 0 ht r th AVL tr invrints, xtly? Disuss with your nighor. AVL Trs: Invrints Intrlu: Exploring th ln invrint Cor i: xtr invrint to BSTs tht
More informationFREE Download Study Package from website: &
FREE Dolod Study Pkge from esite:.tekolsses.om &.MthsBySuhg.om Get Solutio of These Pkges & Ler y Video Tutorils o.mthsbysuhg.om SHORT REVISION. Defiitio : Retgulr rry of m umers. Ulike determits it hs
More informationCauses of deadlocks. Four necessary conditions for deadlock to occur are: The first three properties are generally desirable
auss of dadloks Four ssary oditios for dadlok to our ar: Exlusiv ass: prosss rquir xlusiv ass to a rsour Wait whil hold: prosss hold o prviously aquird rsours whil waitig for additioal rsours No prmptio:
More informationStatistics 3858 : Likelihood Ratio for Exponential Distribution
Statistics 3858 : Liklihood Ratio for Expotial Distributio I ths two xampl th rjctio rjctio rgio is of th form {x : 2 log (Λ(x)) > c} for a appropriat costat c. For a siz α tst, usig Thorm 9.5A w obtai
More informationNational Quali cations
Ntiol Quli ctios AH07 X77/77/ Mthmtics FRIDAY, 5 MAY 9:00 AM :00 NOON Totl mrks 00 Attmpt ALL qustios. You my us clcultor. Full crdit will b giv oly to solutios which coti pproprit workig. Stt th uits
More information(a) v 1. v a. v i. v s. (b)
Outlin RETIMING Struturl optimiztion mthods. Gionni D Mihli Stnford Unirsity Rtiming. { Modling. { Rtiming for minimum dly. { Rtiming for minimum r. Synhronous Logi Ntwork Synhronous Logi Ntwork Synhronous
More informationChapter 3 Higher Order Linear ODEs
ht High Od i ODEs. Hoogous i ODEs A li qutio: is lld ohoogous. is lld hoogous. Tho. Sus d ostt ultils of solutios of o so o itvl I gi solutios of o I. Dfiitio. futios lld lil iddt o so itvl I if th qutio
More informationFormal Concept Analysis
Forml Conpt Anlysis Conpt intnts s losd sts Closur Systms nd Implitions 4 Closur Systms 0.06.005 Nxt-Closur ws dvlopd y B. Gntr (984). Lt M = {,..., n}. A M is ltilly smllr thn B M, if B A if th smllst
More information12. Traffic engineering
lt2.ppt S-38. Introution to Tltrffi Thory Spring 200 2 Topology Pths A tlommunition ntwork onsists of nos n links Lt N not th st of nos in with n Lt J not th st of nos in with j N = {,,,,} J = {,2,3,,2}
More informationCycles and Simple Cycles. Paths and Simple Paths. Trees. Problem: There is No Completely Standard Terminology!
Outlin Computr Sin 331, Spnnin, n Surphs Mik Joson Dprtmnt o Computr Sin Univrsity o Clry Ltur #30 1 Introution 2 3 Dinition 4 Spnnin 5 6 Mik Joson (Univrsity o Clry) Computr Sin 331 Ltur #30 1 / 20 Mik
More informationAP Calculus AB AP Review
AP Clulus AB Chpters. Re limit vlues from grphsleft-h Limits Right H Limits Uerst tht f() vlues eist ut tht the limit t oes ot hve to.. Be le to ietify lel isotiuities from grphs. Do t forget out the 3-step
More informationGraph Isomorphism. Graphs - II. Cayley s Formula. Planar Graphs. Outline. Is K 5 planar? The number of labeled trees on n nodes is n n-2
Grt Thortil Is In Computr Sin Vitor Amhik CS 15-251 Ltur 9 Grphs - II Crngi Mllon Univrsity Grph Isomorphism finition. Two simpl grphs G n H r isomorphi G H if thr is vrtx ijtion V H ->V G tht prsrvs jny
More informationModule B3 3.1 Sinusoidal steady-state analysis (single-phase), a review 3.2 Three-phase analysis. Kirtley
Module B.1 Siusoidl stedy-stte lysis (sigle-phse), review.2 Three-phse lysis Kirtley Chpter 2: AC Voltge, Curret d Power 2.1 Soures d Power 2.2 Resistors, Idutors, d Cpitors Chpter 4: Polyphse systems
More informationEmil Olteanu-The plane rotation operator as a matrix function THE PLANE ROTATION OPERATOR AS A MATRIX FUNCTION. by Emil Olteanu
Emil Oltu-Th pl rottio oprtor s mtri fuctio THE PLNE ROTTON OPERTOR S MTRX UNTON b Emil Oltu bstrct ormlism i mthmtics c offr m simplifictios, but it is istrumt which should b crfull trtd s it c sil crt
More informationPROGRESSIONS AND SERIES
PROGRESSIONS AND SERIES A sequece is lso clled progressio. We ow study three importt types of sequeces: () The Arithmetic Progressio, () The Geometric Progressio, () The Hrmoic Progressio. Arithmetic Progressio.
More informationIterative Methods of Order Four for Solving Nonlinear Equations
Itrativ Mods of Ordr Four for Solvig Noliar Equatios V.B. Kumar,Vatti, Shouri Domii ad Mouia,V Dpartmt of Egirig Mamatis, Formr Studt of Chmial Egirig Adhra Uivrsity Collg of Egirig A, Adhra Uivrsity Visakhapatam
More informationChapter 2 Infinite Series Page 1 of 11. Chapter 2 : Infinite Series
Chatr Ifiit Sris Pag of Sctio F Itgral Tst Chatr : Ifiit Sris By th d of this sctio you will b abl to valuat imror itgrals tst a sris for covrgc by alyig th itgral tst aly th itgral tst to rov th -sris
More informationPage 1. Question 19.1b Electric Charge II Question 19.2a Conductors I. ConcepTest Clicker Questions Chapter 19. Physics, 4 th Edition James S.
ConTst Clikr ustions Chtr 19 Physis, 4 th Eition Jms S. Wlkr ustion 19.1 Two hrg blls r rlling h othr s thy hng from th iling. Wht n you sy bout thir hrgs? Eltri Chrg I on is ositiv, th othr is ngtiv both
More informationSpin Structure of Nuclei and Neutrino Nucleus Reactions Toshio Suzuki
Spi Structur of Nucli d Nutrio Nuclus Rctios Toshio Suzuki Excittio of Spi Mods by s. Spctr DAR, DIF 3. Chrg-Exchg Rctios C, - N by iprovd spi-isospi itrctio with shll volutio Sprdig ffcts of GT strgth
More informationWashington State University
he 3 Ktics ad Ractor Dsig Sprg, 00 Washgto Stat Uivrsity Dpartmt of hmical Egrg Richard L. Zollars Exam # You will hav o hour (60 muts) to complt this xam which cosists of four (4) problms. You may us
More informationIntroduction 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 informationGarnir Polynomial and their Properties
Univrsity of Cliforni, Dvis Dprtmnt of Mthmtis Grnir Polynomil n thir Proprtis Author: Yu Wng Suprvisor: Prof. Gorsky Eugny My 8, 07 Grnir Polynomil n thir Proprtis Yu Wng mil: uywng@uvis.u. In this ppr,
More informationCSC Design and Analysis of Algorithms. Example: Change-Making Problem
CSC 801- Dsign n Anlysis of Algorithms Ltur 11 Gry Thniqu Exmpl: Chng-Mking Prolm Givn unlimit mounts of oins of nomintions 1 > > m, giv hng for mount n with th lst numr of oins Exmpl: 1 = 25, 2 =10, =
More informationDETERMINANT. = 0. The expression a 1. is called a determinant of the second order, and is denoted by : y + c 1
NOD6 (\Dt\04\Kot\J-Advced\SMP\Mths\Uit#0\NG\Prt-\0.Determits\0.Theory.p65. INTRODUCTION : If the equtios x + b 0, x + b 0 re stisfied by the sme vlue of x, the b b 0. The expressio b b is clled determit
More informationPlanar Upward Drawings
C.S. 252 Pro. Rorto Tmssi Computtionl Gomtry Sm. II, 1992 1993 Dt: My 3, 1993 Sri: Shmsi Moussvi Plnr Upwr Drwings 1 Thorm: G is yli i n only i it hs upwr rwing. Proo: 1. An upwr rwing is yli. Follow th
More informationOn Gaussian Distribution
Prpr b Çğt C MTU ltril gi. Dpt. 30 Sprig 0089 oumt vrio. Gui itributio i i ollow O Gui Ditributio π Th utio i lrl poitiv vlu. Bor llig thi utio probbilit it utio w houl h whthr th r ur th urv i qul to
More informationJournal of Engineering, Computers & Applied Sciences (JEC&AS) ISSN No: Volume 2, No.5, May 2013
Joul of Egiig, Comuts & lid Sis JEC&S ISSN No: 39 566 Volum, No.5, My 3 Costutio of Mid Smlig ls Idd Though MD & QL with Coditiol Rtitiv Gou Smlig l s ttibut l Usig Wightd oisso Distibutio R. Smth Kum,
More information, each of which is a tree, and whose roots r 1. , respectively, are children of r. Data Structures & File Management
nrl tr T is init st o on or mor nos suh tht thr is on sint no r, ll th root o T, n th rminin nos r prtition into n isjoint susts T, T,, T n, h o whih is tr, n whos roots r, r,, r n, rsptivly, r hilrn o
More informationCalculus Cheat Sheet. ( x) Relationship between the limit and one-sided limits. lim f ( x ) Does Not Exist
Clulus Cht Sht Limits Dfiitios Pris Dfiitio : W sy lim f L if Limit t Ifiity : W sy lim f L if w for vry ε > 0 thr is δ > 0 suh tht mk f ( ) s los to L s w wt y whvr 0 < < δ th f L < ε. tkig lrg ough positiv.
More informationChapter 7 Infinite Series
MA Ifiite Series Asst.Prof.Dr.Supree Liswdi Chpter 7 Ifiite Series Sectio 7. Sequece A sequece c be thought of s list of umbers writte i defiite order:,,...,,... 2 The umber is clled the first term, 2
More informationFrequency Response & Digital Filters
Frquy Rspos & Digital Filtrs S Wogsa Dpt. of Cotrol Systms ad Istrumtatio Egirig, KUTT Today s goals Frquy rspos aalysis of digital filtrs LTI Digital Filtrs Digital filtr rprstatios ad struturs Idal filtrs
More informationProject 3: Using Identities to Rewrite Expressions
MAT 5 Projet 3: Usig Idetities to Rewrite Expressios Wldis I lger, equtios tht desrie properties or ptters re ofte lled idetities. Idetities desrie expressio e repled with equl or equivlet expressio tht
More informationOrdinary Differential Equations
Basi Nomlatur MAE 0 all 005 Egirig Aalsis Ltur Nots o: Ordiar Diffrtial Equatios Author: Profssor Albrt Y. Tog Tpist: Sakurako Takahashi Cosidr a gral O. D. E. with t as th idpdt variabl, ad th dpdt variabl.
More informationExtension Formulas of Lauricella s Functions by Applications of Dixon s Summation Theorem
Avll t http:pvu.u Appl. Appl. Mth. ISSN: 9-9466 Vol. 0 Issu Dr 05 pp. 007-08 Appltos Appl Mthts: A Itrtol Jourl AAM Etso oruls of Lurll s utos Appltos of Do s Suto Thor Ah Al Atsh Dprtt of Mthts A Uvrst
More informationHIGHER ORDER DIFFERENTIAL EQUATIONS
Prof Enriqu Mtus Nivs PhD in Mthmtis Edution IGER ORDER DIFFERENTIAL EQUATIONS omognous linr qutions with onstnt offiints of ordr two highr Appl rdution mthod to dtrmin solution of th nonhomognous qution
More informationSOLVED EXAMPLES. Ex.1 If f(x) = , then. is equal to- Ex.5. f(x) equals - (A) 2 (B) 1/2 (C) 0 (D) 1 (A) 1 (B) 2. (D) Does not exist = [2(1 h)+1]= 3
SOLVED EXAMPLES E. If f() E.,,, th f() f() h h LHL RHL, so / / Lim f() quls - (D) Dos ot ist [( h)+] [(+h) + ] f(). LHL E. RHL h h h / h / h / h / h / h / h As.[C] (D) Dos ot ist LHL RHL, so giv it dos
More informationis completely general whenever you have waves from two sources interfering. 2
MAKNG SENSE OF THE EQUATON SHEET terferece & Diffrctio NTERFERENCE r1 r d si. Equtio for pth legth differece. r1 r is completely geerl. Use si oly whe the two sources re fr wy from the observtio poit.
More informationClassical Theory of Fourier Series : Demystified and Generalised VIVEK V. RANE. The Institute of Science, 15, Madam Cama Road, Mumbai
Clssil Thoy o Foi Sis : Dmystii Glis VIVEK V RANE Th Istitt o Si 5 Mm Cm Ro Mmbi-4 3 -mil ss : v_v_@yhoooi Abstt : Fo Rim itgbl tio o itvl o poit thi w i Foi Sis t th poit o th itvl big ot how wh th tio
More informationBlackbody Radiation. All bodies at a temperature T emit and absorb thermal electromagnetic radiation. How is blackbody radiation absorbed and emitted?
All bodis at a tmpratur T mit ad absorb thrmal lctromagtic radiatio Blackbody radiatio I thrmal quilibrium, th powr mittd quals th powr absorbd How is blackbody radiatio absorbd ad mittd? 1 2 A blackbody
More informationECE COMBINATIONAL BUILDING BLOCKS - INVEST 13 DECODERS AND ENCODERS
C 24 - COMBINATIONAL BUILDING BLOCKS - INVST 3 DCODS AND NCODS FALL 23 AP FLZ To o "wll" on this invstition you must not only t th riht nswrs ut must lso o nt, omplt n onis writups tht mk ovious wht h
More informationOutline. 1 Introduction. 2 Min-Cost Spanning Trees. 4 Example
Outlin Computr Sin 33 Computtion o Minimum-Cost Spnnin Trs Prim's Alorithm Introution Mik Joson Dprtmnt o Computr Sin Univrsity o Clry Ltur #33 3 Alorithm Gnrl Constrution Mik Joson (Univrsity o Clry)
More informationHandout 11. Energy Bands in Graphene: Tight Binding and the Nearly Free Electron Approach
Hdout rg ds Grh: Tght dg d th Nrl Fr ltro roh I ths ltur ou wll lr: rg Th tght bdg thod (otd ) Th -bds grh FZ C 407 Srg 009 Frh R Corll Uvrst Grh d Crbo Notubs: ss Grh s two dsol sgl to lr o rbo tos rrgd
More informationModule graph.py. 1 Introduction. 2 Graph basics. 3 Module graph.py. 3.1 Objects. CS 231 Naomi Nishimura
Moul grph.py CS 231 Nomi Nishimur 1 Introution Just lik th Python list n th Python itionry provi wys of storing, ssing, n moifying t, grph n viw s wy of storing, ssing, n moifying t. Bus Python os not
More informationf(t)dt 2δ f(x) f(t)dt 0 and b f(t)dt = 0 gives F (b) = 0. Since F is increasing, this means that
Uiversity of Illiois t Ur-Chmpig Fll 6 Mth 444 Group E3 Itegrtio : correctio of the exercises.. ( Assume tht f : [, ] R is cotiuous fuctio such tht f(x for ll x (,, d f(tdt =. Show tht f(x = for ll x [,
More informationERDOS-SMARANDACHE NUMBERS. Sabin Tabirca* Tatiana Tabirca**
ERDO-MARANDACHE NUMBER b Tbrc* Tt Tbrc** *Trslv Uvrsty of Brsov, Computr cc Dprtmt **Uvrsty of Mchstr, Computr cc Dprtmt Th strtg pot of ths rtcl s rprstd by rct work of Fch []. Bsd o two symptotc rsults
More informationMATH 104: INTRODUCTORY ANALYSIS SPRING 2009/10 PROBLEM SET 8 SOLUTIONS. and x i = a + i. i + n(n + 1)(2n + 1) + 2a. (b a)3 6n 2
MATH 104: INTRODUCTORY ANALYSIS SPRING 2009/10 PROBLEM SET 8 SOLUTIONS 6.9: Let f(x) { x 2 if x Q [, b], 0 if x (R \ Q) [, b], where > 0. Prove tht b. Solutio. Let P { x 0 < x 1 < < x b} be regulr prtitio
More informationQ.28 Q.29 Q.30. Q.31 Evaluate: ( log x ) Q.32 Evaluate: ( ) Q.33. Q.34 Evaluate: Q.35 Q.36 Q.37 Q.38 Q.39 Q.40 Q.41 Q.42. Q.43 Evaluate : ( x 2) Q.
LASS XII Q Evlut : Q sc Evlut c Q Evlut: ( ) Q Evlut: Q5 α Evlut: α Q Evlut: Q7 Evlut: { t (t sc )} / Q8 Evlut : ( )( ) Q9 Evlut: Q0 Evlut: Q Evlut : ( ) ( ) Q Evlut : / ( ) Q Evlut: / ( ) Q Evlut : )
More informationPaths. Connectivity. Euler and Hamilton Paths. Planar graphs.
Pths.. Eulr n Hmilton Pths.. Pth D. A pth rom s to t is squn o gs {x 0, x 1 }, {x 1, x 2 },... {x n 1, x n }, whr x 0 = s, n x n = t. D. Th lngth o pth is th numr o gs in it. {, } {, } {, } {, } {, } {,
More informationRepeated Root and Common Root
Repeted Root d Commo Root 1 (Method 1) Let α, β, γ e the roots of p(x) x + x + 0 (1) The α + β + γ 0, αβ + βγ + γα, αβγ - () (α - β) (α + β) - αβ (α + β) [ (βγ + γα)] + [(α + β) + γ (α + β)] +γ (α + β)
More informationIX. Ordinary Differential Equations
IX. Orir Diffrtil Equtios A iffrtil qutio is qutio tht iclus t lst o rivtiv of uow fuctio. Ths qutios m iclu th uow fuctio s wll s ow fuctios of th sm vribl. Th rivtiv m b of orr thr m b svrl rivtivs prst.
More information8. Barro Gordon Model
8. Barro Gordo Modl, -.. mi s t L mi goals of motary poliy:. Miimiz dviatios of iflatio from its optimal rat π. Try to ahiv ffiit mploymt, > Stati Phillips urv: = + π π, Loss futio L = π π + Rspos of th
More informationENGR 3861 Digital Logic Boolean Algebra. Fall 2007
ENGR 386 Digitl Logi Boole Alger Fll 007 Boole Alger A two vlued lgeri system Iveted y George Boole i 854 Very similr to the lger tht you lredy kow Sme opertios ivolved dditio sutrtio multiplitio Repled
More informationEE Control Systems LECTURE 11
Updtd: Tudy, Octor 8, EE 434 - Cotrol Sytm LECTUE Copyright FL Lwi 999 All right rrvd BEEFTS OF FEEBACK Fdc i uivrl cocpt tht ppr i turl ytm, itrctio of pci, d iologicl ytm icludig th ic cll d mucl cotrol
More informationMM1. Introduction to State-Space Method
MM Itroductio to Stt-Spc Mthod Wht tt-pc thod? How to gt th tt-pc dcriptio? 3 Proprty Alyi Bd o SS Modl Rdig Mtril: FC: p469-49 C: p- /4/8 Modr Cotrol Wht th SttS tt-spc Mthod? I th tt-pc thod th dyic
More information5. Growth mechanism. 5.1 Introduction. Thermodynamically unstable ambient phase stable crystal phase
5. Itrodutio 5. Growth mhim Thrmodmill utbl mbit h tbl rtl h Diffiult of ultio du to th didtg of urf rg Ar of ulu lrgr th th ritil o b flututio K iu: growth loit driig for iorortio rt t th itrf btw olid
More informationminimize c'x subject to subject to subject to
z ' sut to ' M ' M N uostrd N z ' sut to ' z ' sut to ' sl vrls vtor of : vrls surplus vtor of : uostrd s s s s s s z sut to whr : ut ost of :out of : out of ( ' gr of h food ( utrt : rqurt for h utrt
More informationNeighborhoods of Certain Class of Analytic Functions of Complex Order with Negative Coefficients
Ge Mth Notes Vol 2 No Jury 20 pp 86-97 ISSN 229-784; Copyriht ICSRS Publitio 20 wwwi-srsor Avilble free olie t http://wwwemi Neihborhoods of Certi Clss of Alyti Futios of Complex Order with Netive Coeffiiets
More informationTURFGRASS DISEASE RESEARCH REPORT J. M. Vargas, Jr. and R. Detweiler Department of Botany and Plant Pathology Michigan State University
I TURFGRASS DISEASE RESEARCH REPORT 9 J. M. Vrgs, Jr. n R. Dtwilr Dprtmnt f Btny n Plnt Pthlgy Mihign Stt Univrsity. Snw Ml Th 9 snw ml fungii vlutin trils wr nut t th Byn Highln Rsrt, Hrr Springs, Mihign
More informationAccuplacer Elementary Algebra Study Guide
Testig Ceter Studet Suess Ceter Aupler Elemetry Alger Study Guide The followig smple questios re similr to the formt d otet of questios o the Aupler Elemetry Alger test. Reviewig these smples will give
More information1. (25 points) Use the limit definition of the definite integral and the sum formulas to compute. [1 x + x2
Mth 3, Clculus II Fil Exm Solutios. (5 poits) Use the limit defiitio of the defiite itegrl d the sum formuls to compute 3 x + x. Check your swer by usig the Fudmetl Theorem of Clculus. Solutio: The limit
More informationProblem Session (3) for Chapter 4 Signal Modeling
Pobm Sssio fo Cht Sig Modig Soutios to Pobms....5. d... Fid th Pdé oimtio of scod-od to sig tht is giv by [... ] T i.. d so o. I oth wods usig oimtio of th fom b b b H fid th cofficits b b b d. Soutio
More information