V. Light amplification & Spontaneous emission

Size: px
Start display at page:

Download "V. Light amplification & Spontaneous emission"

Transcription

1 V. Lgh mplfon & Sponnous msson nrgy Lsrs r bsd on onnous msson nd lgh mplfon, hh r nds of qunum phnomnon. Ths hpr qunum mhnlly dsrbs lgh mplfon. nrgy lvl of n om A mr s omposd of oms, nd n om s omposd of nulus nd lrons s llusrd blo. lron Possbl orbs hr lrons xs r dsr. Th nrgy of n om s dsr. om nulus dsn orb: Th ponl nrgy s hgh. los orb: Th ponl nrgy s lo. In qunum-mhnl rms, gnvlus of h nrgy opror of n om r dsr. nrgy gnvlu dsr shm mg of nrgy ss hgh nrgy s gns orrondng o n lron orb. lo nrgy s Inron bn lgh nd mr bsr om # Whn lghv s nd no mr sysm, undr ondon of h phoon nrgy bng qul o h nrgy dffrn bn o nrgy-lvls n h mr, nron or nrgy xhng bn lgh nd h mr ffnly ours, hh s horlly dsrbd n h follong sons. Trnson from lo nrgy lvl o hgh nrgy lvl hgh nrgy lvl o lo nrgy lvl lgh bsorpon lgh msson

2 Sm-lssl hory nd full-qunum hory Thr r o pprohs o dsrb h lgh-om nron; Sm-lssl hory: n om s qunum, nd lgh s lssl. Full-qunum hory: n om nd lgh r boh qunum. Th sm-lssl hory s onvnn o undrsnd h rsonn nron. Th full-qunum hory xly dsrbs h nron. L us sr h h sm-lssl hory o s n nuv pur of h lgh-om nron. Moon quon of n om n h sm-lssl hory Th om s s hngs hl nrng h lgh. In qunum mhns, h s voluon s dsrbd by h Shrödngr quon. W ll s ho n om volvs hrough h nron, usng h Shrödngr quon. Th Shrödngr quon: d d : nrgy opror of n om mlonn : qunum s of n om Ĥ Frs, xprss h om s s s lnr ombnon of nrgy gnss of h nrgy opror of h om. hr > s n gns of h nrgy opror of h om. Ĥ phs voluon hou h nron Chp. probbly mplud possbly vryng hrough h nron : nrgy gnvlu Th ol nrgy opror hn h om nrs h lgh nluds h nron nrgy opror n ddon. Ĥ n n s h nrgy opror for h om-lgh nron, hh s drvd blo. W suppos h dpol nr, hos lssl nrgy s V n P r D P r D r : lron hrg r : poson of h -h lron lgh fld - + polrzon P

3 Th sm-lssl nron nrgy opror s obnd by rplng D h n opror hl subsung h lssl monohrom lgh for. * n D 3 An quon dsrbng h om s bhvor s obnd from h Shrödngr quon h h bov xprssons s: d d d d n T h nnr produ h d d d d n d n d n n * D m m D D Rsonn rnson W ll solv h bov dffrnl quon, ssumng h s lmos onsn n shor m.., n frs-ordr pproxmon. d d * D r, ssum h h om s nlly on of h gns >, no suprposon s. for Thn, h soluon s obnd s d * D xp[ d * D{ xp[ xp[ } xp[ * xp[ D{ } s lrg hn h dnomnor s zro.

4 Th frs rm s lrg hn - = Th om rnss from h nl s o lor nrgy s h n nrgy dffrn of, hh quls o h phoon nrgy of h ndn lgh. W r no onsdrng losd sysm. Thus, h nrgy h h om loss should go somhr.., nrgy onsrvon. Th ndd s h lgh, hh s rsonbl sn h nrgy los by h om quls o h phoon nrgy. Ths onsdron suggss h h om rnss from h nl s o lor nrgy s hl h los nrgy urns o b phoon myb. > Th sond rm s lrg hn = Th om rnss from h nl s o hghr nrgy s h n nrgy dffrn of, hh quls o h phoon nrgy of h ndn lgh. Consdron smlr o s suggss h h om rnss from h nl s o hghr nrgy s, obnng h nrgy from phoon myb. > > > Rsonn pross: Inron ours mos ffnly hn h phoon nrgy s ondn h n nrgy dffrn of n om. Th probbly of h s rnson s smd s follos. Frs, ssum ~. Thn, frs rm >> sond rm D * xp[.., msson Th probbly of h s bng h -h nrgy s m s D sn [ hh s quvln o h rnson probbly from h -h s o h -h s sn h om s nlly h -h s. Ths onsdron suggss h h rnson probbly s proporonl o h lgh nnsy.

5 In summry, - Trnson ours ffnly bn nrgy ss hos nrgy dffrn quls o h phoon nrgy. An om rnss from n uppr nrgy s o lor on lor nrgy s o n uppr on - Th rnson probbly s proporonl o h lgh nnsy no rnson hn no lgh no onnous rnson lgh msson myb lgh bsorpon myb 5 - Th rnson probbly from h uppr o h lor nd h from h lor o h uppr r qul. Full qunum hory Th prvous son suggss h rsonn nron,.., n om nd lgh ffnly nr h h ohr hn h phoon nrgy quls o n nrgy dffrn of h om sysm. ovr, hr r som ssus h r no lrfd: - Phoon msson nd bsorpon r suggsd by rumsnl vdn, no by dr drvon. - Sponnous msson s no drvd. - Ohr nformon rld o lgh mplfon r mssd suh s lgh mplud, mplud fluuon, phoon numbr fluuon In ordr o fully undrsnd lgh mplfon, nd h full-qunum hory, hh s dsrbd n hs son. r, h lgh s qunzd s ll s oms. Th nron nrgy opror s xprssd s: hr n g Th subsrp rprsns h -h om. : h om s rnson opror from h uppr s > o h lor s > : h om s rnson opror from h lor s > o h uppr s > A phoon s bsorbd. An om s xd. > A phoon s md. An om s rlxd. > > > Th nron nrgy opror n h full qunum hory s gvn by n g Th subsrp rprsns h -h om. hr : h om s rnson opror from h uppr s > o h lor s > : h om s rnson opror from h lor s > o h uppr s >

6 A phoon s bsorbd. An om s xd. > A phoon s md. An om s rlxd. > 6 > > In h follong, h snbrg pur s mployd. Th snbrg pur: m-dpndn opror s drvd frs, nd hn s xpon vlu h r o n nl s s luld. A xp A xp A : m-dpndn opror A follos h snbrg quon of moon: d d A [, A { A A } Ĥ : mlonn nrgy opror Th nrgy opror n h prsn sysm onsss of h orgnl nrgs nd h nron nrgy: lgh oms nron : proporonl onsn Abou An om s s suprposon of > nd >. * * * * A qunum s s normlzd.

7 7 Applyng h dny oprors o h nrgy opror.,, ' ' ',, ' ' ' W rgrd s rfrn of h nrgy vlu, nd ssum =. = - An nsmbl of oms: hr for h om dny opror d d, [ snbrg quon for lgh:, [, [ } {, [ } { } { snbrg quon for n om: d d, [, [ } {, [ } {

8 8 d d xp[ xp[ Th bov dffrnl quons r smplfd by vrbl rnsformon s: d d W ll solv hs quons by h mhod of sussv pproxmon. d d d d : nl ss : frs-ordr soluons,, g d d d g d d d d d d d : sond-ordr soluons, d d d d

9 os[ 9 P P os[ W rgrd hs sond-ordr soluon s h m voluon durng shor m: Th vrgd vlu of physl quny s gvn by h nnr produ h n nl s. W ll s h vrgs of mplud: mplud fluuon: phoon numbr: n x x x In ordr o vlu h vrgd vlu, nd h nl s >. rl pr r, ssum h h nl om sysm nluds N oms h lor nrgy s nd N oms h uppr nrgy s. Thn, h nl s s xprssd s N r { } r oms lgh [Amplud { P} r r P r r

10 os[ P os[ N N os[ [ sn os[ d [ sn nrgy lvl s dnsly dsrbud so h rgrd s onnuous vrbl. [ sn d : dsrbuon dnsy of s rgrdd s onsn, omprd h h vron of sn[[. s lso rgrdd dnl for h. N N N N d [ sn N : Th numbr of oms h lor s round = N : Th numbr of oms h lor s round =..,

11 P { N N } { N N } xp[{ N N } << g g N N [Phoon numbr n { P }{ P} { P P r r P r r P r r P P P P} { } os[ N N { ghr-ordr rms r ngld. } { } P P P P

12 N os[ { os[ } n n n N N N n n N N N h rm n b nrprd s follos: n : Indn phoon numbr n N N n : Phoon-numbr nrs proporonl o n nd N : Phoon-numbr drs proporonl o n nd N smuld msson bsorpon N : Phoon-numbr nrs proporonl o N onnous msson > > > > smuld msson bsorpon > > onnous msson W furhr smplfy h oupu s: n n g n g g g n n npu sgnl g n n g gn onnous msson g N N N N N N N N N g n N N N N n N N N g populon nvrson prmr nos for

13 [Amplud fluuon Fluuon of h lgh mplud n b vlud by h vrns of h rl nd mgnry prs of h nnhlon opror Chp. IV. x x x x x x x x x x x x rl pr mgnry pr r, nrodu modfd mplud opror nd rdfn h rl nd mgnry pr oprors for smplfyng h drvon: b x b b x x x b x b b x x x g g x b b { } { } { } x x { b b }{ b b } { b b b b b b b b } 3 g b b b { [ r r r r { P P } {} P}{ PP { g } P} g {} {} { N N } g { P P } P P b { r r P r r P }{ r r P P P g g N N g P P P P N n g g P}

14 b b x { }{ P P } r r r r P r r P PP g g N N b b { {} { {} { {} { { x } P }{ { P } [ r { } r P r r P P P { r r g } g } g g } n { n g g { x x x g { } N g { } g g { x } n x g g { { x } x } n g g x n } g g } } g g { N N N } N { g } N N N N N N N N N N n N N g g g g } nl vrn ddonl vrn Opl mplfr Th prvous sons dsuss h lgh-oms nron n shor m <<. In n opl mplfr, hovr, lghv nrs squnlly h oms long h mplfr lngh, nd h shor-m pproxmon nno b ppld. Th mplfon proprs n n opl mplfr n b onsdrd s n hs son.

15 For h dsusson, dvd h mplfr lngh o shor sgmns hn hh h shor-m pproxmon s pplbl. 5 IN OUT Lgh psss hrough h sgmn hl hngng s s. Th om ondon s ssumd o b unform ovr h mplfr lngh. Thn, h s hng durng shor m s rnsld o h s hng from h h o + h sgmns s: g n n n g g G n n G n G g G g g x x n x x G n G : mn mplud h -h sgmn n : mn phoon numbr h -h sgmn : h rns m hrough on sgmn Th oupu s s obnd by squnlly pplyng h bov hng from h frs o ls sgmns. 3 3 M M G M G M G M 3 G n M n M G n M G { nm G n G } G n G nm G n G G 3 { G nm 3 G n} G G n G nm 3G G n G G M M n G G n G G G M M G M M G n ng G G n G n x M x M G n G G G G { G x M n } n G G x M G n G G G { G x M 3 n } G n 3 G G x M 3 G G n M M G G G x n G G G x n

16 In summry, 6 mplud phoon numbr ou G n M nou Gnn G n M G G : h mplfr gn mplfd phoon onnous msson mplud fluuon G x ou G x n n mplfd nos ddonl nos Th bov mplfon pross n b llusrd n h omplx mplud onsllon s Im[ npu s R[ r, h npu lgh s supposd o b pur ohrn s. In hs s, h mplud vrns of h npu lgh r: Thn, h mplud vrns of h oupu lgh r: x n x n G x ou x ou G n G n vr. of ohrn s ddonl vrn Ths xprssons n b nrprd s: h mplfd lgh s omposd of ohrn lgh nd onnously md lgh. Im[ ohrn lgh Im[ G + onnous lgh R[ R[

17 A ohrn s orronds o nos-fr lgh n h lssl orld. Thus, h bov onsdron suggss h h rnsfr funon of n opl mplfr n b lsslly xprssd s: 7 ou G n mplfd sgnl lgh < > = onnously md lgh or mplfd onnous msson: AS hr h mn vlu nd h vrn of AS lgh r gvn by {R[ } {Im[ } G n hf f hf s mulpld bus h nrgy un n h bov dsusson s on phoon. f s mulpld bus h bov dsusson s for on rsonn mod. hf : on-phoon nrgy f : frquny bnddh of AS r, h ol vrn of h AS lgh xly qul o h mn por of h AS lgh. Rllng h h vrn quls o h por for n ddv Gussn nos, hs propry of h AS suggss h h dsrbuon profl of h AS lgh mplud s Gussn. In h bov, mplud fluuon hrough n opl mplfr s dsussd. Phoon numbr fluuon.., nnsy fluuon n b lso dsussd h smlr lulons. ovr, h drvon s rhr ompld, nd us sho rsuls blo. n ou nou nou ou ou Gn n G n G G n n G n G { n n n nn } n n sgnl sho nos onnous sho nos sgnl-onnous b nos mplfd xss nos onnous-onnous b nos Nos Fgur NF Th nos prformn of n mplfr s usully ndd by nos fgur NF. W dsrb NF of n opl mplfr n rms of qunum mhns n hs son. Th nos fgur s gnrlly dfnd s: SNR NF SNR n ou S N S N n ou SNR n hr SNR: Sgnl-o-Nos Ro, S: Sgnl por, N: Nos por SNR ou Trdonlly, SNR s vlud n h phoo-urrn gnrng from dr lghv don. = lgh nnsy = phoon numbr

18 In our suon, S = mn phoon numbr = n N = h vrn of h phoon numbr = n = n n 8 From h prvous rsuls, S ou n ou { Gnn G n} N ou n Gn n G n G G nnn G n G { n n nn nn} Usully, {n >> n, G >> }, nd hn h bov xprssons r pproxmd s: S G N ou nn G G n n G n n ou n n.., sgnl-onnous b nos s domnn Thn, SNR ou G G n nn n n On h ohr hnd, SNR n nno b xplly xprssd, bus dpnds on h npu lgh s. In ordr o nd h nrns nos propry of mplfrs, h npu lgh s ssumd o b nos fr,.., ohrn s. Thn,. Sn n n n N n n n n n SNR n n n n n From h bov quons, SNR NF SNR n n n ou nn n n n n n n n n n n n n n Usully,. db-rprsnon s usd for h nos fgur; NF db log NF logn By h y, n n h bov xprsson s: Thus, N n N N N N NF 3 db n n N : h numbr of oms h uppr nrgy s N : h numbr of oms h lor nrgy s NF = 3dB s h qunum-lmd nos fgur of mplfrs. Any mplfr bsd on lgh-om nron nno sho br nos prformn hn NF = 3dB.

Chapter 1: Review of Quantum Mechanics. Postulates of Quantum Mechanics: 1-3

Chapter 1: Review of Quantum Mechanics. Postulates of Quantum Mechanics: 1-3 Chr : Rw of Qunum Mhns In hs lur you wll lrn..ll h you mgh h forgon: Posuls of qunum mhns Commuon rlons Shrongr n snrg urs Tm lomn Dnsy orors n nsy mrs Dohrn n qunum mhns C 47 Srng 9 Frhn Rn Cornll nrsy

More information

Laser spectroscopy. - Basic concepts and instrumentation - Wolfgang Demtröder. Nonlinear Optics Lab. Hanyang Univ. 2 nd enlarged edition

Laser spectroscopy. - Basic concepts and instrumentation - Wolfgang Demtröder. Nonlinear Optics Lab. Hanyang Univ. 2 nd enlarged edition Lsr spcroscopy - Bsc concps nd nsrumnon - nd nlrgd don Wolfgng Dmrödr Nonlnr Opcs L. Hnyng Unv. . Inroducon Spcroscopy 분광학 : To nlyz h chrcrscs of EM rdon lgh nrcng wh mrs AsorponEmsson spcr Spcroscopc

More information

Advanced Queueing Theory. M/G/1 Queueing Systems

Advanced Queueing Theory. M/G/1 Queueing Systems Advand Quung Thory Ths slds ar rad by Dr. Yh Huang of Gorg Mason Unvrsy. Sudns rgsrd n Dr. Huang's ourss a GMU an ma a sngl mahn-radabl opy and prn a sngl opy of ah sld for hr own rfrn, so long as ah sld

More information

Appendix. In the absence of default risk, the benefit of the tax shield due to debt financing by the firm is 1 C E C

Appendix. In the absence of default risk, the benefit of the tax shield due to debt financing by the firm is 1 C E C nx. Dvon o h n wh In h sn o ul sk h n o h x shl u o nnng y h m s s h ol ouon s h num o ssus s h oo nom x s h sonl nom x n s h v x on quy whh s wgh vg o vn n l gns x s. In hs s h o sonl nom xs on h x shl

More information

The Mathematics of Harmonic Oscillators

The Mathematics of Harmonic Oscillators Th Mhcs of Hronc Oscllors Spl Hronc Moon In h cs of on-nsonl spl hronc oon (SHM nvolvng sprng wh sprng consn n wh no frcon, you rv h quon of oon usng Nwon's scon lw: con wh gvs: 0 Ths s sos wrn usng h

More information

Consider a system of 2 simultaneous first order linear equations

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

More information

CE427 - CHEMICAL ENGINEERING LABORATORY III FALL 2005 MATHEMATICAL MODELLING OF TANK DRAINING

CE427 - CHEMICAL ENGINEERING LABORATORY III FALL 2005 MATHEMATICAL MODELLING OF TANK DRAINING CE47 - CEMICA ENGINEERING ABORATORY III FA 005 MATEMATICA MODEING OF TANK DRAINING Ojvs: Dvlop r mml modls o vryng omplxy o prd m rqurd o drn vrl ylndrl nk nd ompr modls w xprmnl d. Sysm: Two nks lod n

More information

UNSTEADY HEAT TRANSFER

UNSTEADY HEAT TRANSFER UNSADY HA RANSFR Mny h rnsfr problms rquir h undrsnding of h ompl im hisory of h mprur vriion. For mpl, in mllurgy, h h ring pross n b onrolld o dirly ff h hrrisis of h prossd mrils. Annling (slo ool)

More information

INF5820 MT 26 OCT 2012

INF5820 MT 26 OCT 2012 INF582 MT 26 OCT 22 H22 Jn Tor Lønnng l@.uo.no Tody Ssl hn rnslon: Th nosy hnnl odl Word-bsd IBM odl Trnng SMT xpl En o lgd n r d bygg..9 h.6 d.3.9 rgh.9 wh.4 buldng.45 oo.3 rd.25 srgh.7 by.3 onsruon.33

More information

Control Systems (Lecture note #7)

Control Systems (Lecture note #7) 6.5 Conrol Sysms (Lcur no #7) Ls Tm: Gnrlz gnvcors Jorn form Polynoml funcons of squr mrx bg pcur: on brnch of h cours Vcor spcs mrcs lgbrc quons Egnvlus Egnvcors Dgonl form Cnoncl form Soluons o : x x

More information

Statistical Analysis of Environmental Data - Academic Year Prof. Fernando Sansò

Statistical Analysis of Environmental Data - Academic Year Prof. Fernando Sansò Scl nly of nvronmnl D - cdmc r 8-9 Prof. Frnndo Snò XRISS - PR 5 bl of onn Inroducon... xrc (D mprcl covrnc m)...7 xrc (D mprcl covrnc m)... xrc 3 (D mprcl covrnc m)... xrc 4 (D mprcl covrnc m)...3 xrc

More information

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

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

More information

Preparred by A.Immanuvel Maduram Thangiah, St. John s HSS, Palayamkottai Key for March 2015 Maths Questions Pl.visit 12th-maths-key.weebly.

Preparred by A.Immanuvel Maduram Thangiah, St. John s HSS, Palayamkottai Key for March 2015 Maths Questions Pl.visit 12th-maths-key.weebly. www.pdsl.n Prprrd A.Immnuvl Mdurm Thngh, S. John s HSS, Plmo K for Mrh 5 Mhs Qusons Pl.vs h-mhs-.wl.om Mrh 5 Hghr Sondr Mhms A I Answr ll h Qusons. =. Answr :. Infnl mn soluon. Answr : d. ll h ov. Answr

More information

Single Correct Type. cos z + k, then the value of k equals. dx = 2 dz. (a) 1 (b) 0 (c)1 (d) 2 (code-v2t3paq10) l (c) ( l ) x.

Single Correct Type. cos z + k, then the value of k equals. dx = 2 dz. (a) 1 (b) 0 (c)1 (d) 2 (code-v2t3paq10) l (c) ( l ) x. IIT JEE/AIEEE MATHS y SUHAAG SIR Bhopl, Ph. (755)3 www.kolsss.om Qusion. & Soluion. In. Cl. Pg: of 6 TOPIC = INTEGRAL CALCULUS Singl Corr Typ 3 3 3 Qu.. L f () = sin + sin + + sin + hn h primiiv of f()

More information

Exponential Stability Analysis of a System Comprised of a Robot and its Associated Safety Mechanism

Exponential Stability Analysis of a System Comprised of a Robot and its Associated Safety Mechanism rongs of nnul onfrn of hn nsu of ommunons Eponnl Sbl nlss of Ssm omprs of obo n s sso Sf Mhnsm Whu GUO ng YNG prmn of Mhms n nforms sn Zhngzhou Unvrs of lgh nusr Zhngzhou hn; E-ml: whguosr@hooomn; ngp66@hoon

More information

INDUCTANCE OF A PLUNGER-TYPE ELECTROMAGNET

INDUCTANCE OF A PLUNGER-TYPE ELECTROMAGNET NDUCTANCE OF A PUNGER-TYPE EECTROMAGNET Grgor A. CVDJAN, Aln DOAN, Vor CMOV, Al hsn CANAKOGU * Unvrsy of Crov, Ron, * Dlpnr Unvrsy, Khy, Try ps 5, RO- Crov, Tl: +45/4574, E-l : gvdjn@lh.v.ro Asr n h ppr,

More information

( ) ( ) ( ) 0. Conservation of Energy & Poynting Theorem. From Maxwell s equations we have. M t. From above it can be shown (HW)

( ) ( ) ( ) 0. Conservation of Energy & Poynting Theorem. From Maxwell s equations we have. M t. From above it can be shown (HW) 8 Conson o n & Ponn To Fo wll s quons w D B σ σ Fo bo n b sown (W) o s W w bo on o s l us n su su ul ow ns [W/ ] [W] su P su B W W 4 444 s W A A s V A A : W W R o n o so n n: [/s W] W W 4 44 9 W : W F

More information

A Study of the Solutions of the Lotka Volterra. Prey Predator System Using Perturbation. Technique

A Study of the Solutions of the Lotka Volterra. Prey Predator System Using Perturbation. Technique Inrnionl hmil orum no. 667-67 Sud of h Soluions of h o Volrr r rdor Ssm Using rurion Thniqu D.Vnu ol Ro * D. of lid hmis IT Collg of Sin IT Univrsi Vishnm.. Indi Y... Thorni D. of lid hmis IT Collg of

More information

Machine Translation. Hiroshi Nakagawa

Machine Translation. Hiroshi Nakagawa Mhn Trnson Hrosh Nkgw Inoron Thnoogy Cnr; Mh Inors Grdu Shoo o Inoron Sn nd Thnoogy; Grdu Shoo o Inrdspnry Inoron Suds Th Unvrsy o Tokyo Ps Mhn Trnson Inpu snn: "w--s h r-n-go wo -b- I n pp. " -> Morphoog

More information

ELEN E4830 Digital Image Processing

ELEN E4830 Digital Image Processing ELEN E48 Dgal Imag Procssng Mrm Eamnaon Sprng Soluon Problm Quanzaon and Human Encodng r k u P u P u r r 6 6 6 6 5 6 4 8 8 4 P r 6 6 P r 4 8 8 6 8 4 r 8 4 8 4 7 8 r 6 6 6 6 P r 8 4 8 P r 6 6 8 5 P r /

More information

Chapter 2: Semi-Classical Light- Matter Interaction

Chapter 2: Semi-Classical Light- Matter Interaction Quanum Ops for Phoons and Opolrons (Farhan ana, Cornll Unvrs) Chapr : Sm-Classal Lgh- Mar Inraon. A Two-lvl Ssm Inrang wh Classal Elromagn Fld n h Absn of Dohrn.. Hamlonan for Inraon bwn Lgh and a Two-lvl

More information

The Variance-Covariance Matrix

The Variance-Covariance Matrix Th Varanc-Covaranc Marx Our bggs a so-ar has bn ng a lnar uncon o a s o daa by mnmzng h las squars drncs rom h o h daa wh mnsarch. Whn analyzng non-lnar daa you hav o us a program l Malab as many yps o

More information

CIVL 7/ D Boundary Value Problems - Quadrilateral Elements (Q8) 1/9

CIVL 7/ D Boundary Value Problems - Quadrilateral Elements (Q8) 1/9 CIVL / -D Boundry Vlu Problm - Qudrlrl Elmn (Q) /9 EIGH-ODE QUADRILAERRAL ELEMES (Q) h nx n our lmn dvlopmn logcl xnon of h qudrlrl lmn o qudrclly nrpold qudrlrl lmn dfnd by gh nod, four h vrc nd four

More information

Vertical Sound Waves

Vertical Sound Waves Vral Sond Wavs On an drv h formla for hs avs by onsdrn drly h vral omonn of momnm qaon hrmodynam qaon and h onny qaon from 5 and hn follon h rrbaon mhod and assmn h snsodal solons. Effvly h frs ro and

More information

Generalized Den Hartog tuned mass damper system for control of vibrations in structures

Generalized Den Hartog tuned mass damper system for control of vibrations in structures Earhqua Rssan Engnrng Sruurs VII 85 Gnralzd Dn Harog und ass dapr sys for onrol of vbraons n sruurs I. M. Abubaar B. J. M. ard Dparn of Cvl Engnrng, auly of Engnrng, Alahad Unvrsy, Sr, Lbya Absra Th Dn

More information

Major: All Engineering Majors. Authors: Autar Kaw, Luke Snyder

Major: All Engineering Majors. Authors: Autar Kaw, Luke Snyder Nolr Rgrsso Mjor: All Egrg Mjors Auhors: Aur Kw, Luk Sydr hp://urclhodsgusfdu Trsforg Nurcl Mhods Educo for STEM Udrgrdus 3/9/5 hp://urclhodsgusfdu Nolr Rgrsso hp://urclhodsgusfdu Nolr Rgrsso So populr

More information

Engine Thrust. From momentum conservation

Engine Thrust. From momentum conservation Airbrhing Propulsion -1 Airbrhing School o Arospc Enginring Propulsion Ovrviw w will b xmining numbr o irbrhing propulsion sysms rmjs, urbojs, urbons, urboprops Prormnc prmrs o compr hm, usul o din som

More information

On the Hubbard-Stratonovich Transformation for Interacting Bosons

On the Hubbard-Stratonovich Transformation for Interacting Bosons O h ubbrd-sroovh Trsformo for Irg osos Mr R Zrbur ff Fbrury 8 8 ubbrd-sroovh for frmos: rmdr osos r dffr! Rdom mrs: hyrbol S rsformo md rgorous osus for rg bosos /8 Wyl grou symmry L : G GL V b rrso of

More information

On the Existence and uniqueness for solution of system Fractional Differential Equations

On the Existence and uniqueness for solution of system Fractional Differential Equations OSR Jourl o Mhms OSR-JM SSN: 78-578. Volum 4 ssu 3 Nov. - D. PP -5 www.osrjourls.org O h Es d uquss or soluo o ssm rol Drl Equos Mh Ad Al-Wh Dprm o Appld S Uvrs o holog Bghdd- rq Asr: hs ppr w d horm o

More information

Canonical Quantizing of Spinor Fields: Anti-Commutation Relations

Canonical Quantizing of Spinor Fields: Anti-Commutation Relations JOURNA ON POTONICS AND SPINTRONICS VO.5 NO. MAY 6 ISSN - 857 Prn ISSN - 858 Onln h://www.rrh.org/jornl/j/j.hml Cnonl Qnzng of Snor Fl: An-Common Rlon D. Grn PhD Unvr of Brln* Ar Nw mg of hr nor ro on h

More information

(A) 1 (B) 1 + (sin 1) (C) 1 (sin 1) (D) (sin 1) 1 (C) and g be the inverse of f. Then the value of g'(0) is. (C) a. dx (a > 0) is

(A) 1 (B) 1 + (sin 1) (C) 1 (sin 1) (D) (sin 1) 1 (C) and g be the inverse of f. Then the value of g'(0) is. (C) a. dx (a > 0) is [STRAIGHT OBJECTIVE TYPE] l Q. Th vlu of h dfii igrl, cos d is + (si ) (si ) (si ) Q. Th vlu of h dfii igrl si d whr [, ] cos cos Q. Vlu of h dfii igrl ( si Q. L f () = d ( ) cos 7 ( ) )d d g b h ivrs

More information

t=0 t>0: + vr - i dvc Continuation

t=0 t>0: + vr - i dvc Continuation hapr Ga Dlay and rcus onnuaon s rcu Equaon >: S S Ths dffrnal quaon, oghr wh h nal condon, fully spcfs bhaor of crcu afr swch closs Our n challng: larn how o sol such quaons TUE/EE 57 nwrk analys 4/5 NdM

More information

Chapter 7. Now, for 2) 1. 1, if z = 1, Thus, Eq. (7.20) holds

Chapter 7. Now, for 2) 1. 1, if z = 1, Thus, Eq. (7.20) holds Chapr 7, n, 7 Ipuls rspons of h ovng avrag flr s: h[, ohrws sn / / Is frquny rspons s: sn / Now, for a BR ransfr funon,, For h ovng-avrag flr, sn / W shall show by nduon ha sn / sn / sn /,, Now, for sn

More information

Diode-pump. Introduction into mathematics needed for calculus of the diodepump. 1. Introduction

Diode-pump. Introduction into mathematics needed for calculus of the diodepump. 1. Introduction Dod-m Inrodon no mhms ndd for lls of h dodm. Inrodon Th dod-m s rndd n nsgnfn-sml lron r, whh only onsss of 5 omonns, h oml dsron, wh rlly s n ll dls, s long sory. I go g mnng n h 96 s n h rdon-hyss, whr

More information

The Procedure Abstraction Part II: Symbol Tables and Activation Records

The Procedure Abstraction Part II: Symbol Tables and Activation Records Th Produr Absrion Pr II: Symbol Tbls nd Aivion Rords Th Produr s Nm Sp Why inrodu lxil soping? Provids ompil-im mhnism for binding vribls Ls h progrmmr inrodu lol nms How n h ompilr kp rk of ll hos nms?

More information

Prediction of Aviation Equipment Readiness Rate Based on Exponential Smoothing Method. Yan-ming YANG, Yue TENG and Chao-ran GUO

Prediction of Aviation Equipment Readiness Rate Based on Exponential Smoothing Method. Yan-ming YANG, Yue TENG and Chao-ran GUO 7 nd Inrnonl Confrnc on Informon chnology nd Mngmn Engnrng (IME 7) ISBN: 978--6595-45-8 Prdcon of Avon Equpmn Rdnss R Bsd on Exponnl Smoohng Mhod Yn-mng YANG, Yu ENG nd Cho-rn GUO Nvl Aronucl nd Asronucl

More information

Revisiting what you have learned in Advanced Mathematical Analysis

Revisiting what you have learned in Advanced Mathematical Analysis Fourir sris Rvisiing wh you hv lrnd in Advncd Mhmicl Anlysis L f x b priodic funcion of priod nd is ingrbl ovr priod. f x cn b rprsnd by rigonomric sris, f x n cos nx bn sin nx n cos x b sin x cosx b whr

More information

On the stochastic approach to marine population dynamics

On the stochastic approach to marine population dynamics SCIENTIA ARINA 7( rh 7, 53-74, Brlon (Spn ISSN: 4-8358 On h sohs pproh o mrn populon dynms EDUARDO FERRANDIS Dprmno d Cns dl r y Bologí Apld, Unvrsdd d Aln, Cr. d S. Vn s/n. Aln 38, Espñ. E-ml: Edurdo.Frrnds@u.s

More information

Wave Propagation in a Layer of Binary Mixture of Elastic Solids

Wave Propagation in a Layer of Binary Mixture of Elastic Solids Jornl of Sold Mhns Vol. No. pp. 8- v ropgon n yr of nry Mr of Els Solds R. Kr M. nhl Dprn of Mhs Krshr Unvrsy Krshr-6 Ind Rvd prl ; pd 6 Jn SRC hs ppr onnrs on h propgon of vs n lyr of bnry r of ls solds

More information

Mathematical modelling of reaction kinetics applied for industrial dihydrate method of P 2 O 5 production

Mathematical modelling of reaction kinetics applied for industrial dihydrate method of P 2 O 5 production Euron ymosum on Comur Ardd Add Pross Engnrng L. Pugjnr nd A. Esuñ (Eors) Elsvr n B.. All rghs rsrvd. hml modllng o ron kns ld or ndusrl dhydr mhod o P O roduon I.. obolv, E.. Kolsov Drmn o Cybrns o Chml

More information

D t r l f r th n t d t t pr p r d b th t ff f th l t tt n N tr t n nd H n N d, n t d t t n t. n t d t t. h n t n :.. vt. Pr nt. ff.,. http://hdl.handle.net/2027/uiug.30112023368936 P bl D n, l d t z d

More information

Supplementary Figure 1. Experiment and simulation with finite qudit. anharmonicity. (a), Experimental data taken after a 60 ns three-tone pulse.

Supplementary Figure 1. Experiment and simulation with finite qudit. anharmonicity. (a), Experimental data taken after a 60 ns three-tone pulse. Supplmnar Fgur. Eprmn and smulaon wh fn qud anharmonc. a, Eprmnal daa akn afr a 6 ns hr-on puls. b, Smulaon usng h amlonan. Supplmnar Fgur. Phagoran dnamcs n h m doman. a, Eprmnal daa. Th hr-on puls s

More information

Right Angle Trigonometry

Right 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 information

Version 1.0 VLADIMIR V. KOROSTELEV. A Primer in Quantum Mechanics for NMR Students

Version 1.0 VLADIMIR V. KOROSTELEV. A Primer in Quantum Mechanics for NMR Students Vrson. VADMR V. KOROSTEEV A Prmr n Quanum Mhans for NMR Sudns Vladmr Koroslv, 8 vladmr.v.koroslv@ramblr.ru Tabl of Conns Conns. nroduon. Quanum Sas of Spn / 3. Opraors for Spn / 6 4. Hamlonan of spn n

More information

HIGHER ORDER DIFFERENTIAL EQUATIONS

HIGHER 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 information

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 3: Ideal Nozzle Fluid Mechanics

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 3: Ideal Nozzle Fluid Mechanics 6.5, Rok ropulsion rof. nul rinz-snhz Lur 3: Idl Nozzl luid hnis Idl Nozzl low wih No Sprion (-D) - Qusi -D (slndr) pproximion - Idl gs ssumd ( ) mu + Opimum xpnsion: - or lss, >, ould driv mor forwrd

More information

Chapter 3. The Fourier Series

Chapter 3. The Fourier Series Chpr 3 h Fourir Sris Signls in h im nd Frquny Domin INC Signls nd Sysms Chpr 3 h Fourir Sris Eponnil Funion r j ros jsin ) INC Signls nd Sysms Chpr 3 h Fourir Sris Odd nd Evn Evn funion : Odd funion :

More information

UNSTEADY STATE HEAT CONDUCTION

UNSTEADY STATE HEAT CONDUCTION MODUL 5 UNADY A HA CONDUCION 5. Inroduion o his poin, hv onsidrd onduiv h rnsfr problms in hih h mprurs r indpndn of im. In mny ppliions, hovr, h mprurs r vrying ih im, nd rquir h undrsnding of h ompl

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

CONTINUOUS TIME DYNAMIC PROGRAMMING

CONTINUOUS TIME DYNAMIC PROGRAMMING Eon. 511b Sprng 1993 C. Sms I. Th Opmaon Problm CONTINUOUS TIME DYNAMIC PROGRAMMING W onsdr h problm of maxmng subj o and EU(C, ) d (1) j ^ d = (C, ) d + σ (C, ) dw () h(c, ), (3) whr () and (3) hold for

More information

Wave Phenomena Physics 15c

Wave Phenomena Physics 15c Wv hnon hyscs 5c cur 4 Coupl Oscllors! H& con 4. Wh W D s T " u forc oscllon " olv h quon of oon wh frcon n foun h sy-s soluon " Oscllon bcos lr nr h rsonnc frquncy " hs chns fro 0 π/ π s h frquncy ncrss

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

(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 information

n r t d n :4 T P bl D n, l d t z d th tr t. r pd l

n r t d n :4 T P bl D n, l d t z d   th tr t. r pd l n r t d n 20 20 :4 T P bl D n, l d t z d http:.h th tr t. r pd l 2 0 x pt n f t v t, f f d, b th n nd th P r n h h, th r h v n t b n p d f r nt r. Th t v v d pr n, h v r, p n th pl v t r, d b p t r b R

More information

Special Curves of 4D Galilean Space

Special Curves of 4D Galilean Space Irol Jourl of Mhml Egrg d S ISSN : 77-698 Volum Issu Mrh hp://www.jms.om/ hps://ss.googl.om/s/jmsjourl/ Spl Curvs of D ll Sp Mhm Bkş Mhmu Ergü Alpr Osm Öğrmş Fır Uvrsy Fuly of S Dprm of Mhms 9 Elzığ Türky

More information

Chapter 5 Transient Analysis

Chapter 5 Transient Analysis hpr 5 rs Alyss Jsug Jg ompl rspos rs rspos y-s rspos m os rs orr co orr Dffrl Equo. rs Alyss h ffrc of lyss of crcus wh rgy sorg lms (ucors or cpcors) & m-ryg sgls wh rss crcus s h h quos rsulg from r

More information

H NT Z N RT L 0 4 n f lt r h v d lt n r n, h p l," "Fl d nd fl d " ( n l d n l tr l t nt r t t n t nt t nt n fr n nl, th t l n r tr t nt. r d n f d rd n t th nd r nt r d t n th t th n r lth h v b n f

More information

INTERQUARTILE RANGE. I can calculate variabilityinterquartile Range and Mean. Absolute Deviation

INTERQUARTILE RANGE. I can calculate variabilityinterquartile Range and Mean. Absolute Deviation INTERQUARTILE RANGE I cn clcul vribiliyinrquril Rng nd Mn Absolu Dviion 1. Wh is h grs common fcor of 27 nd 36?. b. c. d. 9 3 6 4. b. c. d.! 3. Us h grs common fcor o simplify h frcion!".!". b. c. d.

More information

INTEGRAL TRANSFORM METHODS FOR SOLVING FRACTIONAL PDES AND EVALUATION OF CERTAIN INTEGRALS AND SERIES

INTEGRAL TRANSFORM METHODS FOR SOLVING FRACTIONAL PDES AND EVALUATION OF CERTAIN INTEGRALS AND SERIES ITEGRAL TRASFORM METHODS FOR SOLVIG FRACTIOAL PDES AD EVALUATIO OF CERTAI ITEGRALS AD SERIES *A. Aghl nd H. Znl *Drmn of Ald Mhmcs, Unvrsy of Guln Rsh-Irn *Auhor for Corrsondnc ABSTRACT In hs work, h uhors

More information

Midterm. Answer Key. 1. Give a short explanation of the following terms.

Midterm. Answer Key. 1. Give a short explanation of the following terms. ECO 33-00: on nd Bnking Souhrn hodis Univrsi Spring 008 Tol Poins 00 0 poins for h pr idrm Answr K. Giv shor xplnion of h following rms. Fi mon Fi mon is nrl oslssl produd ommodi h n oslssl sord, oslssl

More information

l f t n nd bj t nd x f r t l n nd rr n n th b nd p phl t f l br r. D, lv l, 8. h r t,., 8 6. http://hdl.handle.net/2027/miun.aey7382.0001.001 P bl D n http://www.hathitrust.org/access_use#pd Th r n th

More information

, each of which is a tree, and whose roots r 1. , respectively, are children of r. Data Structures & File Management

, 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 information

4.1 The Uniform Distribution Def n: A c.r.v. X has a continuous uniform distribution on [a, b] when its pdf is = 1 a x b

4.1 The Uniform Distribution Def n: A c.r.v. X has a continuous uniform distribution on [a, b] when its pdf is = 1 a x b 4. Th Uniform Disribuion Df n: A c.r.v. has a coninuous uniform disribuion on [a, b] whn is pdf is f x a x b b a Also, b + a b a µ E and V Ex4. Suppos, h lvl of unblivabiliy a any poin in a Transformrs

More information

Analytical Study of a Special Case of Complex Canonical Transform

Analytical Study of a Special Case of Complex Canonical Transform lobl Jornl o Mhmcl Scncs: hory n Prccl Volm, Nmbr 3 00, pp 6--70 Inrnonl Rsrch Pblcon Hos hp://wwwrphoscom Anlycl Sy o Spcl Cs o Complx Cnoncl rnsorm PR Dshmkh n AS h Pro Rm Mgh Ins o chnology & Rsrch,

More information

t the propensity to consume the resource good. Maximizing U t in (9) subject to the budget constraint (8) yields

t the propensity to consume the resource good. Maximizing U t in (9) subject to the budget constraint (8) yields ISB 978-9-84468-8-5 Innaonal Confn on Issus n Busnss onoms Mang an Mamas (IBMM-6) Sngapo 5-6 6 Busnss Cls Capal nvonmn an Rnabl Rsous W-Bn Zang Rsuman Asa Paf Unvs Bppu-s Japan Absa: Ts pap nfs busnss

More information

CSE 245: Computer Aided Circuit Simulation and Verification

CSE 245: Computer Aided Circuit Simulation and Verification CSE 45: Compur Aidd Circui Simulaion and Vrificaion Fall 4, Sp 8 Lcur : Dynamic Linar Sysm Oulin Tim Domain Analysis Sa Equaions RLC Nwork Analysis by Taylor Expansion Impuls Rspons in im domain Frquncy

More information

An Inventory Model for Deteriorating Items with Quadratic Demand and Partial Backlogging

An Inventory Model for Deteriorating Items with Quadratic Demand and Partial Backlogging Brsh Journl of Appl Sn & hnology (): - 0 SCIECEDOMAI nrnonl wwwsnomnorg An Invnory Mol for Drorng Ims wh Qur Dmn n Prl Bkloggng R Bgum S K Shu n R R Shoo Dprmn of Mhms Pmn Collg of Engg Rourkl-76900 Osh

More information

Fourier Series and Parseval s Relation Çağatay Candan Dec. 22, 2013

Fourier Series and Parseval s Relation Çağatay Candan Dec. 22, 2013 Fourir Sris nd Prsvl s Rlion Çğy Cndn Dc., 3 W sudy h m problm EE 3 M, Fll3- in som dil o illusr som conncions bwn Fourir sris, Prsvl s rlion nd RMS vlus. Q. ps h signl sin is h inpu o hlf-wv rcifir circui

More information

PR D NT N n TR T F R 6 pr l 8 Th Pr d nt Th h t H h n t n, D D r r. Pr d nt: n J n r f th r d t r v th tr t d rn z t n pr r f th n t d t t. n

PR D NT N n TR T F R 6 pr l 8 Th Pr d nt Th h t H h n t n, D D r r. Pr d nt: n J n r f th r d t r v th tr t d rn z t n pr r f th n t d t t. n R P RT F TH PR D NT N N TR T F R N V R T F NN T V D 0 0 : R PR P R JT..P.. D 2 PR L 8 8 J PR D NT N n TR T F R 6 pr l 8 Th Pr d nt Th h t H h n t n, D.. 20 00 D r r. Pr d nt: n J n r f th r d t r v th

More information

22 t b r 2, 20 h r, th xp t d bl n nd t fr th b rd r t t. f r r z r t l n l th h r t rl T l t n b rd n n l h d, nd n nh rd f pp t t f r n. H v v d n f

22 t b r 2, 20 h r, th xp t d bl n nd t fr th b rd r t t. f r r z r t l n l th h r t rl T l t n b rd n n l h d, nd n nh rd f pp t t f r n. H v v d n f n r t d n 20 2 : 6 T P bl D n, l d t z d http:.h th tr t. r pd l 22 t b r 2, 20 h r, th xp t d bl n nd t fr th b rd r t t. f r r z r t l n l th h r t rl T l t n b rd n n l h d, nd n nh rd f pp t t f r

More information

Colby College Catalogue

Colby College Catalogue Colby College Digital Commons @ Colby Colby Catalogues College Archives: Colbiana Collection 1866 Colby College Catalogue 1866-1867 Colby College Follow this and additional works at: http://digitalcommons.colby.edu/catalogs

More information

Introduction to Inertial Dynamics

Introduction to Inertial Dynamics nouon o nl Dn Rz S Jon Hokn Unv Lu no on uon of oon of ul-jon oo o onl W n? A on of o fo ng on ul n oon of. ou n El: A ll of l off goun. fo ng on ll fo of gv: f-g g9.8 /. f o ll, n : f g / f g 9.8.9 El:

More information

4 8 N v btr 20, 20 th r l f ff nt f l t. r t pl n f r th n tr t n f h h v lr d b n r d t, rd n t h h th t b t f l rd n t f th rld ll b n tr t d n R th

4 8 N v btr 20, 20 th r l f ff nt f l t. r t pl n f r th n tr t n f h h v lr d b n r d t, rd n t h h th t b t f l rd n t f th rld ll b n tr t d n R th n r t d n 20 2 :24 T P bl D n, l d t z d http:.h th tr t. r pd l 4 8 N v btr 20, 20 th r l f ff nt f l t. r t pl n f r th n tr t n f h h v lr d b n r d t, rd n t h h th t b t f l rd n t f th rld ll b n

More information

Generalized Half Linear Canonical Transform And Its Properties

Generalized Half Linear Canonical Transform And Its Properties Gnrlz Hl Lnr Cnoncl Trnorm An I Propr A S Guh # A V Joh* # Gov Vrh Inu o Scnc n Humn, Amrv M S * Shnkrll Khnlwl Collg, Akol - 444 M S Arc: A gnrlzon o h Frconl Fourr rnorm FRFT, h lnr cnoncl rnorm LCT

More information

Explicit Delay and Power Estimation Method for CMOS Inverter Driving on-chip RLC Interconnect Load

Explicit Delay and Power Estimation Method for CMOS Inverter Driving on-chip RLC Interconnect Load Inrnonl Journl of Elcrcl n Elcroncs Engnrng : Explc Dly n Powr Esmon Mho for MOS Invrr Drvng on-hp R Inrconnc o Susm Shoo Mhumn D n Rjb r bsrc h rssv-nucv-cpcv bhvor of long nrconncs whch r rvn by MOS

More information

FAULT TOLERANT SYSTEMS

FAULT TOLERANT SYSTEMS FAULT TOLERANT SYSTEMS hp://www.cs.umass.du/c/orn/faultolransysms ar 4 Analyss Mhods Chapr HW Faul Tolranc ar.4.1 Duplx Sysms Boh procssors xcu h sam as If oupus ar n agrmn - rsul s assumd o b corrc If

More information

46 D b r 4, 20 : p t n f r n b P l h tr p, pl t z r f r n. nd n th t n t d f t n th tr ht r t b f l n t, nd th ff r n b ttl t th r p rf l pp n nt n th

46 D b r 4, 20 : p t n f r n b P l h tr p, pl t z r f r n. nd n th t n t d f t n th tr ht r t b f l n t, nd th ff r n b ttl t th r p rf l pp n nt n th n r t d n 20 0 : T P bl D n, l d t z d http:.h th tr t. r pd l 46 D b r 4, 20 : p t n f r n b P l h tr p, pl t z r f r n. nd n th t n t d f t n th tr ht r t b f l n t, nd th ff r n b ttl t th r p rf l

More information

NAME: ANSWER KEY DATE: PERIOD. DIRECTIONS: MULTIPLE CHOICE. Choose the letter of the correct answer.

NAME: ANSWER KEY DATE: PERIOD. DIRECTIONS: MULTIPLE CHOICE. Choose the letter of the correct answer. R A T T L E R S S L U G S NAME: ANSWER KEY DATE: PERIOD PREAP PHYSICS REIEW TWO KINEMATICS / GRAPHING FORM A DIRECTIONS: MULTIPLE CHOICE. Chs h r f h rr answr. Us h fgur bw answr qusns 1 and 2. 0 10 20

More information

(A) the function is an eigenfunction with eigenvalue Physical Chemistry (I) First Quiz

(A) the function is an eigenfunction with eigenvalue Physical Chemistry (I) First Quiz 96- Physcl Chmstry (I) Frst Quz lctron rst mss m 9.9 - klogrm, Plnck constnt h 6.66-4 oul scon Sp of lght c. 8 m/s, lctron volt V.6-9 oul. Th functon F() C[cos()+sn()] s n gnfuncton of /. Th gnvlu s (A)

More information

Introduction to Laplace Transforms October 25, 2017

Introduction to Laplace Transforms October 25, 2017 Iroduco o Lplc Trform Ocobr 5, 7 Iroduco o Lplc Trform Lrr ro Mchcl Egrg 5 Smr Egrg l Ocobr 5, 7 Oul Rvw l cl Wh Lplc rform fo of Lplc rform Gg rform b gro Fdg rform d vr rform from bl d horm pplco o dffrl

More information

4 4 N v b r t, 20 xpr n f th ll f th p p l t n p pr d. H ndr d nd th nd f t v L th n n f th pr v n f V ln, r dn nd l r thr n nt pr n, h r th ff r d nd

4 4 N v b r t, 20 xpr n f th ll f th p p l t n p pr d. H ndr d nd th nd f t v L th n n f th pr v n f V ln, r dn nd l r thr n nt pr n, h r th ff r d nd n r t d n 20 20 0 : 0 T P bl D n, l d t z d http:.h th tr t. r pd l 4 4 N v b r t, 20 xpr n f th ll f th p p l t n p pr d. H ndr d nd th nd f t v L th n n f th pr v n f V ln, r dn nd l r thr n nt pr n,

More information

828.^ 2 F r, Br n, nd t h. n, v n lth h th n l nd h d n r d t n v l l n th f v r x t p th l ft. n ll n n n f lt ll th t p n nt r f d pp nt nt nd, th t

828.^ 2 F r, Br n, nd t h. n, v n lth h th n l nd h d n r d t n v l l n th f v r x t p th l ft. n ll n n n f lt ll th t p n nt r f d pp nt nt nd, th t 2Â F b. Th h ph rd l nd r. l X. TH H PH RD L ND R. L X. F r, Br n, nd t h. B th ttr h ph rd. n th l f p t r l l nd, t t d t, n n t n, nt r rl r th n th n r l t f th f th th r l, nd d r b t t f nn r r pr

More information

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

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

More information

EEE 303: Signals and Linear Systems

EEE 303: Signals and Linear Systems 33: Sigls d Lir Sysms Orhogoliy bw wo sigls L us pproim fucio f () by fucio () ovr irvl : f ( ) = c( ); h rror i pproimio is, () = f() c () h rgy of rror sigl ovr h irvl [, ] is, { }{ } = f () c () d =

More information

Let's revisit conditional probability, where the event M is expressed in terms of the random variable. P Ax x x = =

Let's revisit conditional probability, where the event M is expressed in terms of the random variable. P Ax x x = = L's rvs codol rol whr h v M s rssd rs o h rdo vrl. L { M } rrr v such h { M } Assu. { } { A M} { A { } } M < { } { } A u { } { } { A} { A} ( A) ( A) { A} A A { A } hs llows us o cosdr h cs wh M { } [ (

More information

Relation between Fourier Series and Transform

Relation between Fourier Series and Transform EE 37-3 8 Ch. II: Inro. o Sinls Lcur 5 Dr. Wih Abu-Al-Su Rlion bwn ourir Sris n Trnsform Th ourir Trnsform T is riv from h finiion of h ourir Sris S. Consir, for xmpl, h prioic complx sinl To wih prio

More information

Lecture 11 Waves in Periodic Potentials Today: Questions you should be able to address after today s lecture:

Lecture 11 Waves in Periodic Potentials Today: Questions you should be able to address after today s lecture: Lctur 11 Wvs in Priodic Potntils Tody: 1. Invrs lttic dfinition in 1D.. rphicl rprsnttion of priodic nd -priodic functions using th -xis nd invrs lttic vctors. 3. Sris solutions to th priodic potntil Hmiltonin

More information

Humanistic, and Particularly Classical, Studies as a Preparation for the Law

Humanistic, and Particularly Classical, Studies as a Preparation for the Law University of Michigan Law School University of Michigan Law School Scholarship Repository Articles Faculty Scholarship 1907 Humanistic, and Particularly Classical, Studies as a Preparation for the Law

More information

BER Performance Degradation of a Powerline Communication System due to Power Transformer and Performance Improvement by Diversity Reception Technique

BER Performance Degradation of a Powerline Communication System due to Power Transformer and Performance Improvement by Diversity Reception Technique SCIRA Journl o lrl ngnrng p:www.sr.orgournld Aprl 6, 9 Volum, Issu, Frury 9 BR Prormn Dgrdon o Powrln Communon Sysm du o Powr rnsormr nd Prormn Improvmn y Dvrsy Rpon nqu M Muur Rmn, S P Mumdr Dp o C,Mlry

More information

NEW FLOODWAY (CLOMR) TE TE PIN: GREENS OF ROCK HILL, LLC DB: 12209, PG: ' S67 46'18"E APPROX. FLOODWAY NEW BASE FLOOD (CLOMR)

NEW FLOODWAY (CLOMR) TE TE PIN: GREENS OF ROCK HILL, LLC DB: 12209, PG: ' S67 46'18E APPROX. FLOODWAY NEW BASE FLOOD (CLOMR) W LOOWY (LOMR) RVRWLK PKWY ROK HLL, S PPROX. LOOWY W BS LOO (LOMR) lient nformation 4 SS- RM:4 V : PV Pipe V OU: PV Pipe JB SS- RM: V OU: PV Pipe RU R " PV Pipe @. LO SPS OL SSBL GRL ORMO: S OS: M BS LOO

More information

A Hybrid Method to Improve Forecasting Accuracy Utilizing Genetic Algorithm and Its Application to Stock Market Price Data

A Hybrid Method to Improve Forecasting Accuracy Utilizing Genetic Algorithm and Its Application to Stock Market Price Data A Hyrd Mhod o Improv Forcsng Accurcy Ulzng Gnc Algorhm nd Is Applcon o Sock Mrk Prc D Ysuo Ish * Kzuhro Tkysu Dprmn of Mngmn Dsgn, Fculy of Busnss dmnsron Osk Inrnonl Unvrsy -5-, Sug, Hrk, Osk 57-9, Jpn

More information

Jonathan Turner Exam 2-10/28/03

Jonathan Turner Exam 2-10/28/03 CS Algorihm n Progrm Prolm Exm Soluion S Soluion Jonhn Turnr Exm //. ( poin) In h Fioni hp ruur, u wn vrx u n i prn v u ing u v i v h lry lo hil in i l m hil o om ohr vrx. Suppo w hng hi, o h ing u i prorm

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

Colby College Catalogue

Colby College Catalogue Colby College Digital Commons @ Colby Colby Catalogues College Archives: Colbiana Collection 1870 Colby College Catalogue 1870-1871 Colby College Follow this and additional works at: http://digitalcommonscolbyedu/catalogs

More information

A Comparative Study of PID and Fuzzy Controller for Speed Control of Brushless DC Motor Drive

A Comparative Study of PID and Fuzzy Controller for Speed Control of Brushless DC Motor Drive Inrnonl srh ournl o Engnrng n hnology IE -ISSN: 95-56 olu: Issu: -16 www.rj.n p-issn: 95-7 A Coprv Suy o PID n uzzy Conrollr or Sp Conrol o Brushlss DC Moor Drv 1 Prrn r horg, gsh houhr 1PG Sun, Elrl Engnrng

More information

n

n p l p bl t n t t f Fl r d, D p rt nt f N t r l R r, D v n f nt r r R r, B r f l. n.24 80 T ll h, Fl. : Fl r d D p rt nt f N t r l R r, B r f l, 86. http://hdl.handle.net/2027/mdp.39015007497111 r t v n

More information

Engineering Circuit Analysis 8th Edition Chapter Nine Exercise Solutions

Engineering Circuit Analysis 8th Edition Chapter Nine Exercise Solutions Engnrng rcu naly 8h Eon hapr Nn Exrc Soluon. = KΩ, = µf, an uch ha h crcu rpon oramp. a For Sourc-fr paralll crcu: For oramp or b H 9V, V / hoo = H.7.8 ra / 5..7..9 9V 9..9..9 5.75,.5 5.75.5..9 . = nh,

More information

Copyright A.Milenin, 2017, AGH University of Science and Technology

Copyright A.Milenin, 2017, AGH University of Science and Technology Fn lmn nl for Ml Formng n Mrl ngnrng rof. r h. nż. nr Mlnn G nr of n n hnolog Krów oln -ml: mlnn@gh..l nnoon h fn lmn mho (FM) wl n ml formng n mrl ngnrng. h mho n rom mho h' wh rr h of horl rnng. h followng

More information

Telecommunications BUILDING INTERCOM CALL BUTTON WITH 3/4"C AND PULL STRING TO ACCESSIBLE CEILING SPACE. MOUNT 48" AFF.

Telecommunications BUILDING INTERCOM CALL BUTTON WITH 3/4C AND PULL STRING TO ACCESSIBLE CEILING SPACE. MOUNT 48 AFF. 0 NOOY SYMO S N NOOY NOS: NO: his is a standard symbol list and not all items listed may be used. bbreviations () XSN OV NS OO NMW - UNOUN ONU OY ONO UNS ONO NS O ONO UNS OWN NS OX OX U OP SUON UN OO,

More information

Inverse Fourier Transform. Properties of Continuous time Fourier Transform. Review. Linearity. Reading Assignment Oppenheim Sec pp.289.

Inverse Fourier Transform. Properties of Continuous time Fourier Transform. Review. Linearity. Reading Assignment Oppenheim Sec pp.289. Convrgnc of ourir Trnsform Rding Assignmn Oppnhim Sc 42 pp289 Propris of Coninuous im ourir Trnsform Rviw Rviw or coninuous-im priodic signl x, j x j d Invrs ourir Trnsform 2 j j x d ourir Trnsform Linriy

More information