N coupled oscillators

Size: px
Start display at page:

Download "N coupled oscillators"

Transcription

1 Waves

2 Waves. N coupled oscillaors owards he coiuous limi. Sreched srig ad he wave equaio 3. he d lember soluio 4. Siusoidal waves, wave characerisics ad oaio

3 N coupled oscillaors Cosider fleible elasic srig o which are aached N paricles of mass m, each a disace l apar. he srig is fied a each ed. Small rasverse displacemes are applied rasverse oscillaios p p 0 3 p p ll agles small, i.e. i i No sigifica horizoal force, sice l p N N si a / i ad cos i i p cos p cos 0. Bu vericall: F p m p si p p l si p p l p p p 0 p 0 p p 0 wih 0 / ml 3

4 N coupled oscillaors: special cases Firs cosider he special cases N= ad N= N= / ml N= r q ad q q q q 0 0 q

5 N coupled oscillaors: geeral case We have p 0 p 0 p p 0 Cosider rial soluio p p cos For simplici we re o allowig for addiioal phase offse, e.g. cos p. Equivale o imposig all masses sar a res p p Subsiuig i rial soluio gives N equaios: 0 p 0 p p p p p p,,..., N For p=0 ad p=n+ we ow p =0 Sice ω is same for all masses we see RHS ca deped o p & so or ca LHS 5

6 N coupled oscillaors: geeral case Loo for form for p ha p p. Leaves idepede of p p. Saisfies p =0 for p=0 ad N+ r p C si p so p p Csi p si p C si p cos p p cos which saisfies. p ad requirig N,,3,... saisfies. p p C si N p p p 0 0 cos N 0 cos N si 0 N 6

7 N coupled oscillaors: he soluio p p 0 3 p p p l p C si cos N p N N Displaceme for mass p whe oscillaig i mode ad agular frequec: si 0 N oe we have smuggled bac i he phase offse φ 0 / ml lhough he value of ca go beod N, his jus geeraes duplicae soluios, i.e. here are N ormal modes i oal. 7

8 N coupled oscillaors: modes for N=5 Loo a each mode for N=5, wih sapsho ae a =0 = = =5 =3 =4 Noe how he displaceme of ever paricle falls o a sie curve! 8

9 N coupled oscillaors: N ver large Le s cosider srig-mass ssem of fied legh L ad mass M, i.e. L N l M Nm ad defie liear desi m/ l We ll focus o case N ver large, which is sarig o approimae o real srig is small Loo firs a mode umbers which are low i value compared wih N ml si N m / l N l L so ormal frequecies are ieger muliples of a lowes frequec ω L 9

10 N coupled oscillaors: N ver large is small We have L, wha abou displacemes? p Geeral resul p C si cos. Now separaio bewee N paricles becomes smaller & we approach a coiuous variable., C si cos L i.e. srig ges closer ad closer o lig o a sie curve pl 0

11 N coupled oscillaors: N ver large =N Loo firs a frequec of highes mode Now cosider displaceme of successive masses N 0 si N p p 0 pn si N p N si N si p si p So we have somehig lie his Realisig his, we see eq of moio for a give mass is from which we ca recover he resul N 0 m l

12 Ssem of sprigs ad N masses: logiudial oscillaios u p m m m m p p p p p p p p p u u u u u u u u mu m / 0 wih Le u p be displaceme from equilibrium posiio of mass p Equaios of moio have same form as for masses o srig same soluios!

13 Sreched srig Cosider a segme of srig of liear desi ρ sreched uder esio, small F F si si cos cos sice δθ F small F 0 ad so a 3

14 Sreched srig a i.e. Noe he parial double derivaive, raher ha d d which implies. depeds o boh ad. his ad much of wha follows will cocer parial differeial equaios. Now, a so sec ad sice small sec ad sec herefore ad so 4

15 Sreched Srig ad he wave equaio We have performed a similar aalsis o he N oscillaig masses o a srig. - he we had N coordiaes, p, p=...n. - Now we have,, which are coiuous variables Have obaied Now ρ/ has dimesios of /speed ad ideed we will see ha hese parameers do defie he veloci of ravellig waves o he srig. his is he wave equaio c c 5

16 Jea-Bapise le Rod d lember Lived i Paris Mahemaicia ad phsicis lso a music heoris ad co-edior wih Didero of a famous ecclopaedia 6

17 d lember soluio of wave equaio v v u u v u v v u u v v u u c v c u v v u u v u v v u u v v u u c v c u c v v u u v v u u c c v c u is a fucio of ad. Defie ew variables so ha is ow a fucio of u ad v Chai rule o ge firs derivaives ad he secod derivaives 7

18 d lember soluio of wave equaio c c v c u is a fucio of ad. Defie ew variables so ha is ow a fucio of u ad v 0 v u, v g u f v u, c g c f Here f ad g are a fucios of -c ad +c. he are deermied b iiial codiios. So geeral soluio of wave equaio is 8

19 Ierpreaio of d lember soluio Les focus o f-c par of soluio c, c g c f is geeral soluio of ime = :, c f, c f ime = : ] [, c c f c c c f c f i.e. displaceme a ime ad posiio = displaceme a ime a disace c - o he lef of soluio describes wave ravellig o righ wih speed c 9

20 Ierpreaio of d lember soluio, f c Focus o =0 ad cosider siuaios a =0 ad =Δ 0,0 0, c Wave moves o righ wih speed c 0

21 Ierpreaio of d lember soluio, g c Focus o =0 ad cosider siuaios a =0 ad =Δ 0,0 0, c Wave moves o lef wih speed c

22 d lember s soluio wih boudar codiios, c g c f fucios f ad g are deermied b iiial codiios Suppose a ime =0, he wave has iiial displaceme U ad veloci V,0 g f U ' ' d d d d,0 cg cf c g c c f c V b V c g f d b V c U g d b V c U f d Iegraig gives ad combiig wih ields

23 d lember s soluio wih boudar codiios, c g c f fucios f ad g are deermied b iiial codiios Suppose a ime =0, he wave has iiial displaceme U ad veloci V b V c U g d b V c U f d c c c b c b V c c U c U V V c c U c U d d d, 3

24 a d lember s soluio wih boudar codiios Eample: recagular wave of legh a released from res, U c U c 0 a / c U a a a a / c 3a / c a a a a 4

25 Siusoidal waves ver commo fucioal depedece for f ad g..., f c g c...is siusoidal. I his case i is usual o wrie:, cos Bcos wih ad ω ad ad B cosas or si-ω... ec choice does maer, uless we are comparig oe wave wih aoher ad he relaive phases become impora speed of wave frequec c / / / where ω is agular frequec f / wavelegh where is he wave-umber or wave-vecor if also used o idicae direcio of wave 5

26 Noaio choices Siusoidal soluio, cos wriig here, for compacess, ol he forward-goig soluio Usig he relaioships bewee,ω, λ & c his ca be epressed i ma forms, cos[ c] lso oe ha someimes i is coveie o wrie, cos Chages ohig for cosie, riviall so, & pracicall o eve for sie fucio, as overall sig ca be absorbed i cosa & sill describes forward-goig wave. ver freque approach is o use comple oaio we alread made use of his whe aalsig ormal modes, ad ou will have see i i circui aalsis, Re ep[ i ] or, Im ep[ i ] if is impora o pic ou sie fucio. Noe ha ofe he Re or Im is implici, ad i ges omied i discussio. 6

27 Phase differeces Ofe impora o specif phase shifs. Ol meaigful o do so whe we are comparig oe wave o aoher., cos, cos wave wave I his eample wave leads wave b π/, i.e. φ=-π/ Ca be epressed wih comple oaio, Re ep[ i ] Nicer sill o subsume phase io ampliude, Re ep[ i ] wih π/ ep i =0 ω 7

28 Waves. Sadig waves. rasverse waves i aure: elecromageic radiaio 3. Polarisaio 4. Dispersio 5. Iformaio rasfer ad wave paces 6. Group veloci 8

29 Sadig waves Cosider a srig wih waves of equal ampliude movig i opposie direcios or, if ou prefer, si si si cos, si cos i.e. has facorised io space ad ime-depede pars. his meas ever poi o srig is movig wih a cerai ime-depedece cosω, bu he ampliude of he moio is a fucio of he disace from he ed of he srig eample a srig o wo which wo waveleghs are ecied =δ =0 Saioar pois are he odes occur ever λ/. Bewee hese are he aiodes. λ λ 9

30 Sadig waves Boudar codiio ha each ed of a fied srig mus be a ode..., si cos wih 0, L, 0...meas ha ol cerai discree frequecies he modes are available. hese modes are muliples of he basic mode, which is he fudameal. Waveleghs mus fi, hece wavelegh of mode L Recallig c / =0 =δ =0 mode 4 =L gives agular frequec of mode L λ λ We alread obaied his resul whe discussig lump srig wih N large! 30

31 Sadig waves violi srig E srig of a violi is o be ued o a frequec of 640 Hz. Is legh ad mass from bridge o ed are 33 cm ad 0.5 g respecivel. Wha esio is required? Fudameal give b f L Lf bove parameers give 68 N 3

32 rasverse waves i aure: EM radiaio he mos impora eample of waves i aure is elecromageic radiaio, i.e. ligh ec. his will be properl covered i EM lecures. Here is jus a aser. Mawell s equaios i free space for elecric field E, ad mageic iducace B E 0. B 0 B E E B James Cler Mawell ε 0 = permiivi of free space = F/m μ 0 = permeabili of free space = 4π 0-7 Hm - Vecor calculus idei plus 3: Maig use of 4 ad : B B B B B E B 3

33 rasverse waves i aure: EM radiaio Mawell s equaios i free space ield: B B 0 0 equivale epressio is obaiable for E which is he wave equaio wih c ms he speed of ligh! Le s he cosider a wave ravellig i z-direcio usig comple oaio: B B0 ep[ i z] ha we ae real B i B j B ep[ i z] par is implici z From Mawell B 0, ha is 0 ad so z B B B z 0 B field has o compoe i direcio of propagaio - a oscillaio is i rasverse plae. Same argume follows for E field wave is rasverse! Mawell s equaios also impl ha E ad B vecors are rasverse o each oher o show here eercise for he sude! 33 B z

34 rasverse waves i aure: EM radiaio EM waves i vacuum: boh E ad B vecors oscillae rasverse o he direcio of propagaio ad, i phase, rasverse o each oher B-field E-field 34

35 rasverse vs logiudial waves For coupled oscillaors we cosidered boh rasverse ad logiudial eciaios. he same is rue here ca cerail have logiudial waves Some ssems suppor ol rasverse waves, some ol logiudial, some boh rasverse ol: sreched srig, EM waves i vacuum... Logiudial ol: soud waves i air his because air has o elasic resisace o chage i shape, ol o chage i desi Boh: sreched sprig, crsal... rasverse waves have a impora aribue o available o logiudial waves: POLRISION 35

36 Polarisaio rasverse vibraios ca be i oe of wo direcios or boh orhogoal o he direcio of wave propagaio. We al of wo differe direcios of polarisaio. I ca eve be ha wave velociies are differe for he wo polarisaio saes, due o e.g. he differe ieraomic spacigs i a crsal. Some possibilies for polarisaio of E vecor i EM wave ravellig i z-direcio: plae of oscillaio liear E liear E E E 0 0 E cos z liear E E E 0 E cos z 0 E circular roaes wih ime E E E0 / cos z E / cos z 0 E E E E 0 0 cos z si z 36

37 Dispersio For our sreched srig we foud ha he wave veloci is, c / i.e. depeds ol o properies of srig ad has o depedece o frequec or wavelegh of wave. Bu his is a idealised ssem! For mos ssems he veloci of a wave does have a depedece o ω ad λ DISPERSION Oe well ow eample is ligh i a prism. Ligh i a medium m wih refracive ide Has a veloci c m, where c m c /. Bu he refracive ide, ad hece wave veloci, varies wih wavelegh. Hece ligh is be a differe agles b prism accordig o wavelegh. 37

38 Dispersio lump srig revisied he sreched srig has a idealised mass / ui legh. Bu earlier we aalsed ormal modes of he lump srig. We foud: si 0 N wih 0 / ml ad L / ; also we have / / L Recall ormal modes for N=5: = = =5 =3 =4 L Loo a behaviour of ω vs for =...N, recallig ha wave speed=ω/ 38

39 Dispersio curve for lump srig For a lump srig wih N=00 masses oher properies arbirar calculae ω ad for each ormal mode his is o liear! Veloci of wave correspodig o each mode depeds o ω or. his is dispersio. ω/ω 0 Sauraes owards cu-off agular frequec of ω 0 icreasig Noe also ha here is a cu-off frequec a maimum frequec above which i is o possible o ecie ssem/rasmi waves his is a proper ofe foud i a dispersive ssem. 39

40 Iformaio rasfer & wave paces o rasmi iformaio i is ecessar o modulae a wave. Cosider he simples case of urig a wave o ad he off: For a cerai rage of -ω his sigal has displaceme =si-ω, ouside his rage he displaceme =0. his is o a sigle wave, for which =si-ω would appl for all -ω! I is i fac a wave pace. N, D cos wave pace ca be formed b summig ogeher a possibl ifiie umber of waves of differe frequecies his is a Fourier series d ear opic 40

41 Modulaio pure sie wave carries o iformaio o ecode iformaio for radio rasmissio eed o modulae he wave. Geeral priciple as follows: Sigal, picall characerised b low frequec variaio e.g. voice: a few 00 Hz -Hz Carrier wave High frequec e.g. ~ MHz Carrier sigal is modulaed Modulaed sigal, which is rasmied, received ad he de-modulaed Various opios eis for he modulaio sraeg 4

42 Modulaio sraegies Pulse modulaio Simpl ur sie wave off ad o, e.g. morse code mpliude modulaio Modulae ampliude, e.g. Offse + sigal si [π f carrier ] Frequec modulaio Ecode iformaio i modulaio of frequec also phase modulaio 4

43 Wave paces a o eample Sum ogeher wo waves which differ b δω ad δ i agular frequec ad wave-umber, respecivel: o give cos si si si No eacl a pace, more a ifiie series of sausages would eed a ifiie umber of ipu waves o mae a discree wave pace 43

44 Group veloci he veloci of he wave pace is ow as he group veloci. I almos all cases his is he veloci a which iformaio is rasmied. I a dispersive medium he group veloci is o he same as he veloci of he idividual waves, which is ow as he phase veloci & i a dispersive medium he phase veloci, ω/, varies wih frequec & wavelegh Cosider our o eample: cos si Describes evelope so evelope moves wih veloci Group veloci d v g d while phase veloci v p ad ideed 44

45 Caroo of wave pace /7 ravellig wave pace. he mars he op of he wave pace which moves wih he group veloci. he idicaes a compoe wave cres which eers he pace, moves hrough i, ad leaves, wih he phase veloci. 45

46 Caroo of wave pace /7 ravellig wave pace. he mars he op of he wave pace which moves wih he group veloci. he idicaes a compoe wave cres which eers he pace, moves hrough i, ad leaves, wih he phase veloci. 46

47 Caroo of wave pace 3/7 ravellig wave pace. he mars he op of he wave pace which moves wih he group veloci. he idicaes a compoe wave cres which eers he pace, moves hrough i, ad leaves, wih he phase veloci. 47

48 Caroo of wave pace 4/7 ravellig wave pace. he mars he op of he wave pace which moves wih he group veloci. he idicaes a compoe wave cres which eers he pace, moves hrough i, ad leaves, wih he phase veloci. 48

49 Caroo of wave pace 5/7 ravellig wave pace. he mars he op of he wave pace which moves wih he group veloci. he idicaes a compoe wave cres which eers he pace, moves hrough i, ad leaves, wih he phase veloci. 49

50 Caroo of wave pace 6/7 ravellig wave pace. he mars he op of he wave pace which moves wih he group veloci. he idicaes a compoe wave cres which eers he pace, moves hrough i, ad leaves, wih he phase veloci. 50

51 Caroo of wave pace 7/7 ravellig wave pace. he mars he op of he wave pace which moves wih he group veloci. he idicaes a compoe wave cres which eers he pace, moves hrough i, ad leaves, wih he phase veloci. 5

52 Differe epressios for he group veloci We have alread saed d v g d bu v p so v g v p dv d p also, sice / v g v p dv p d or if cosiderig ligh, & a medium wih refracive ide, we have v p c / c d v g d v g c / Observe ha! 5

53 Dispersio ad he spreadig of he wave pace oher cosequece of dispersio is ha a wave-pace will o reai is shape perfecl, bu will spread ou. Ca have cosequeces for sigal deecio 53

54 Group ad phase velociies for lump srig V g /v p Veloci Calculae phase ad group veloci for he lump srig wih N=00 ω/ω 0 v p v g Dispersio curve Raio of v g o v p ω/ω 0 Phase ad group veloci ~ he same a firs, bu v g 0 as ω ω 0 cu-off 54

55 Waves i deep waer Waves i waer wih λ > cm below which surface esio effecs are impora, bu sill small compared o waer deph, have a dispersio relaio g i.e. drive b gravi, hece ofe called gravi waves - ocea swell v d d g g v p So group veloci is half ha of phase veloci 55

56 Esimaig how far awa a sea sorm is g Dispersio relaio meas ha v p g / ad so waves of loger waveleghs ravel more quicl. Sorm Measure ierval bewee successive wave cress a log wa L disa L Period of wave: ime of arrival of wave cress: Elimiae λ: / g v p Hece / d L / g 0 d p 0 L / v 0 L g / L / e.g. if L=000 m ad τ=0 s he -dτ/d= s / hour L / g 0 So if measure period ad rae of decrease i period ca obai L! 56

57 Waves 3. Eerg sored i a mechaical wave. Wave equaio revisied - separaio of variables 3. Wave o srig wih fied eds 4. Waves a boudaries 5. Impedace 6. Oher eamples: - Lossless rasmissio lie - Logiudial waves i a bar - cousic waves 57

58 Eerg sored i a mechaical wave vibraig srig mus carr eerg bu how much? Les calculae he ieic eerg desi i.e. KE / ui legh ad poeial eerg desi +d ds Cosider small segme of srig of liear desi ρ bewee ad +d displaced i he direcio. s usual, assume displaceme is small + d Kieic eerg, K d u d KE desi dk d 58

59 Eerg sored i a mechaical wave + d +d ds Poeial eerg, U, is wor doe b deformaio d d s U... d d / d s U d d d desi PE U 59

60 Eerg sored i a mechaical wave d d desi KE K d d desi PE U ' z f ' z vf ] ' [ d d z f v K ] ' [ z f U We have show, z f v f ad we ow soluios ae form, sa herefore ad so / v hese are equal sice - oe maifesaio of he Virial heorem. 60

61 Eerg sored i a mechaical wave Le s eplicil calculae KE ad PE for a siusoidal wave si Evaluae hese quaiies over a ieger umber of waveleghs d ] cos[ d cos K d ] cos[ d cos U v / / Now ad so hese epressios are equal hus oal eerg / ui legh Moreover, we ca evaluae eerg flow/ui ime = power o geerae wave P = eerg / wavelegh disace ravelled / ime v P 6

62 Wave equaio revisied solvig b separaio of variables c We have alread solved he wave equaio usig he d lember approach Les aac i agai, ow looig for soluios which have he separaed form, X i.e. ha facorise io fucios ha are separae fucios of ad d d d d X c X c X X 6

63 Wave equaio revisied solvig b separaio of variables Separaed soluio o wave equaio e.g., X gives X X c Ca ol be saisfied if boh sides equal a cosa: X X c C he separaio cosa Les cosider firs he case whe C is egaive. We wrie C=- X X c hese are SHM equaios, so we ca wrie X cos Bsi so e.g. i case B=0 ad D=0 we have, Dcos c Esi c F cos si wih,b,d ad E cosas defied b iiial codiios wih ω=c ad F=E... a form we have see before, whe maipulaig d lember soluio 63

64 Wave equaio revisied solvig b separaio of variables Wave equaio wih separaed variables: X X c C C egaive alread cosidered. Here are some oher possibiliies:, e C is posiive = Be De c Ee c C = 0, B D E Sill ohers eis e.g. C is comple. Which of soluios is releva depeds o he phsical siuaio. Here we are usuall ieresed i C is egaive, sice he we ge oscillaios! Bu eve he ma possibiliies eiss =differe values of, ad we will ofe ge a liear superposiio of hese. 64

65 Wave o srig wih fied eds Cosider a srig wih fied eds, iiiall a res, give a iiial displaceme ad released. Describe is subseque moio. 0 L Kow from separaio of variables ha a soluio o wave equaio is, cos Bsi C cos c Dsi c ad we also have four boudar codiios. hree of hem are as follows:. Srig iiiall a res, i.e. / 0 for all D 0. 0,= L,=0 L where a ieger. his is he eigevalue eq. ad discreises. Each value of correspods o a ormal mode. I is clear ha for his coiuous ssem ca go o ifii... 65

66 Wave o srig wih fied eds herefore, b he priciple of superposiio, he soluio is:, F c si cos L L i.e. sum of all possible soluios wih coefficies F give b iiial displaceme, which is he boudar codiio we have o e ivoed,0 F si L h where h is paer of iiial displaceme Simples case is whe h is jus a ormal mode, e.g. 5 h si F5 ad F 0 whe 5 L 5 5c, si cos L L 66

67 Wave o srig wih fied eds Cosider a more complicaed siuaio whe h is o a sigle ormal mode h si si L L he i is clear F =, F =0.5 ad F =0 whe or, so c c, si cos si cos L L L L I coras o case wih jus a sigle ormal mode he subseque moio is o equal o iiial displaceme varig ampliude. Sice he shorer waves are faser he shape of he wave varies durig oscillaio. Eve if he iiial displaceme loos lie his i.e. pluced srig, i ca be epressed as sum of ormal modes! Fourier series ear 0 L 67

68 Wave o srig wih fied eds: eergies of ormal modes L c L F cos si, Normal mode for our problem, wih give boudar codiios: Calculae ieic eerg, K, ad poeial eerg, U, for each mode K L d 0 U L d 0 L c L c F L L c L c F K L 0 si 4 d si si L c L F L L c L F U L 0 cos 4 d cos cos Sice we have / c 4 4 LF E L c LF U K E 68

69 Wave o srig wih fied eds: eergies of ssem Now le s calculae eerg of ssem, wih arbirar iiial displaceme, F si L cos c L his is simple eesio of eercise for idividual ormal modes, Bu wih addiioal erms E E m cross - erms bu cross-erms all iclude facors of he pe L 0 si si L m L d wih m which are zero! E E i.e. oal eerg is sum of eergies of ormal modes 69

70 Waves a boudaries Wha happes for a wave propagaig o a srig whe i ecouers a boudar across which he srig characerisics chage, e.g. chage of liear desi ρ,? ρ ρ =0 Sice he esio,, is cosa across boudar, i follows phase velociies chage c, /, We mus allow for he possibili of hree waves: Icide wave Refleced wave rasmied wave 70

71 Waves a boudaries ρ ρ =0 Le s wrie dow he hree waves Icide Refleced rasmied si si ' ''si we have swiched o wriig siω- raher ha si-ω, as his oaio is usual for hese problems. Bu his does o affec ahig. Observe he + sig i argume for lef-goig wave Noe: We assume same agular frequec, ω, o boh srigs. his is required b boudar codiios see laer. bu wavelegh, ad hece wave umber, medium-depede he relaive values of, ad are o be deermied 7

72 Boudar codiios wo boudar codiios: ρ ρ =0 Here: Srig is coiuous Verical compoe of force o lef of boudar mus be balaced b verical compoe o righ, si 'si, ''si 0, 0, 0, 0, e wave o lef of boudar wave o righ of boudar 7

73 pplig boudar codiios pplig 0, 0, 0, 0, wih, si 'si, ''si Srig coiuous Balaced verical esio si 'si ' '' ''si cos 'cos ' '' ''cos Solve o obai ampliude reflecio ad rasmissio coefficies r ' '' 73

74 pplig boudar codiios We have r ' ad '' Les cosider some specific cases: = < > ρ he r=0, = o reflecio ad full rasmissio he is egaive ad ca wrie refleced wave ' si ' si he is posiive i.e. here is a phase chage a a rare-dese boudar sice c / /, hece r ' Full reflecio wih phase chage ad o wave i secod srig 74

75 Power flow a a boudar We have ad ' r '' P ad earlier we showed ha ' R r 4 '' R 4 R R r So raios of refleced o icide power, R r, ad rasmied o icide power, R, are give b ad so, as epeced 75

76 Reflecio from a mass a he boudar Cosider siuaio where a fiie poi mass, M, is fied a he boudar bewee wo semi-ifiie srigs of desi ρ ad ρ M ρ ρ =0 Solve as before, bu i his case oe of he boudar codiios chages Sum of forces a boudar ac o mass ad geeraes rasverse acceleraio 0, 0, M 0, M 0, Oher boudar codiio ssem coiuous, so 0, 0, uchaged 76

77 Reflecio from a mass a he boudar M ρ ρ =0 Here, wih d derivaives ivolved, i s coveie o use epoeial oaio, Re ep[ i ] 'ep[ i ], Re ''ep[ i ] Ssem coiuous ' '', as before New codiio ii' i'' M ' M'' i ' i M / '' 77

78 Reflecio from a mass a he boudar ' '' We have ad ' ' / ' M i i ep ' i R M i M i r ep '' i M i From hese ca show Here θ φ is phase shif of refleced rasmied wave w.r.. icide wave. cos cos, ] 'ep[ ] ep[ Re, R i i cos, ] ''ep[ Re, i Here R ad are real umbers 78

79 Reflecio from a mass a he boudar ep ' i R M i M i r ep '' i M i / 4 4 M M R M M a a / 4 4 M M a For compleeess we have: ad so oce more oe, i.e. eerg coserved R r 79

80 Reflecio from a mass a he boudar Cosider special case where secod srig has zero desi: ρ =0. he =0 ad i as if we are jus ermiaig he firs srig wih he mass. R / 4 M 4 M oal reflecio a a M M a M 0 if M is small π if M is large 80

81 Impedace Familiar wih cocep of elecrical impedace from circui heor = a measure of opposiio o a ime varig elecric curre V Z I differe compoes have differe impedaces, some frequec depede Z R R Z C Z L i / C il resisor capacior iducor For srucures alog which elecromageic waves propagae, i.e. rasmissio lies, eve free space, al of characerisic impedace Bu cocep of impedace ad characerisic impedace ca be used i oher wave-carrig ssems. Here is a admiedl wooll defiiio: Impedace is raio of push variable i.e. volage or pressure o a flow variable i.e. curre or paricle veloci 8

82 Impedace & waves o srig he characerisic impedace Z is defied as he applied drivig force acig i he -direcio divided b he veloci of he srig i he -direcio For rasverse waves o a srig: v F Z so wih si, c Z lso, ca ae reflecio ad rasmissio coefficies from mass a a boudar problem ad wrie hese i erms of impedaces ' M M Z Z Z Z Z Z M i M i r '' Z M Z Z Z M i Here we have he characerisic impedaces which are resisive, ad a impedace for he mass iself of which is iducive /,, Z M i Z M 8

83 Oher impora eamples rasmissio lies Logiudial elasic waves - Oscillaios i a solid bar - cousic waves i gas 83

84 Lossless rasmissio lies Cosider a ssem made of iducors ad capaciors, ad he le i become coiuous so ha we ow spea of iducace / ui legh L & capaciace / ui legh C e.g. coaial cable. Le i have zero resisace lossless. V V V I I I Self-iducace of δ = L δ volage chage I V L' V I L' Capaciace of δ = C δ volage chage V Q / C' V I C' 84

85 Lossless rasmissio lies V V V I I I We have show V I L' V C' I hese are he elegraph equaios ad I I L' C' ad V V L' C' Wave equaio! So waves of form e.g. V V0 si I I si 0 ca ravel dow lie wih c / C' L'

86 Characerisic impedace of rasmissio lie V V V I I I We have V I L' ad V V0 si I I si 0 V0 cos L' I0 cos Characerisic impedace Z V I 0 0 L' C' L' L' L' C' +ve for forward ravellig wave 86

87 Reflecio a a ermiaed lie Cosider how wave reflecs for rasmissio lie of characerisic impedace Z 0 ermiaed a =0 b a impedace of Z Z 0 icide, V 0 = refleced, V 0 = =0 Z We have: V, ep i[ ] 'ep i[ ] Z0I, ep i[ ] 'ep i[ ] Now a =0 he raio V/I mus = he ermiaig impedace! Hece, Z Z ' ' 0 so reflecio coefficie r ' Z 0 he r -: full reflecio wih phase shif Z Z Z Z Z =Z 0 he r 0 : o reflecio mached impedace; all power rasmied o ermiaig load Z he r : full reflecio 0 0 V 0, I0, 87 Z

88 Logiudial waves i a solid bar Cosider a solid bar, iiiall i equilibrium, i which a disurbace perurbs he posiio ad hicess of a slice of maerial uder equilibrium uder disurbace from wave F F F direcio of wave We deoe b F he magiude of he ew sress force srechig he maerial ad δf he ecess force acceleraig he segme o he righ 88

89 Logiudial waves i a solid bar Force per ui area o slice is give b Hooe s law ad Youg s modulus of he maerial, Y F Y ifiiel hi slice F Y So ecess force is give b F Y Mass of slice wih desi ρ is give b ad acceleraio is Newo II gives Y Y So veloci of waves is v Y Seel has Y= 0 Nm - v 5ms ad ρ= 8000 g m -3 89

90 cousic waves Soud waves are logiudial waves associaed wih compressio of medium. uder equilibrium p p uder disurbace from soud wave p p p p p direcio of soud wave Cosider a slice of gas, iiiall a equilibrium, i a ube of cross-secioal area. Slice is bewee ad +δ. disurbace moves he slice o +ψ ad chages is widh o δ+δψ. Pressure has chaged from p o p+ψ p o LHS of slice, ad o p+ψ p +δψ p o RHS. 90

91 cousic waves Slice has had is volume chaged b a fracioal amou.δψ/.δ, ad his happes as a resul of a pressure chage ψ p. he relaioship is deermied b he elasici of he gas, he bul modulus κ / / p ifiiel hi slice p From his we see Mass of slice p Force o slice i -dir cceleraio of slice p which will be useful i geig wave eq. hese relaios ad Newo II ield: 9

92 cousic waves We have obaied resul, a wave equaio describig moio of a slice of gas a posiio ψ. Oe migh worr ha a slice of gas is a raher iagible eperimeal observable. Isead oe ca phrase problem i erms of he pressure variaios, ψ p, which are cerail measurable. p Sice he ψ p also saisfies wave equaio, i.e. p p Z si, K v K K Z / v Eiher wa, phase veloci of waves is Characerisic impedace ca be defied b so for forward-ravellig wave 9

93 cousic waves speed of soud We have show ha v /, so we ca calculae v if we ow κ ad ρ. o calculae κ i is coveie o use his form of defiiio: p V V We also eed o specif wha else happes o ssem as p chages. Isohermal compressio No emperaure chages jusifiable if he pressure chages are slow eough o allow ube o echage hea freel wih surroudigs. P R R Ideal gas PV R so p v p / V V V diabaic compressio Pressure chages occur so rapidl ha hea cao be echaged from dese o less dese regios. Good approimaio o reali. diabaic chages i a ideal gas pv cosa where C p / C i.e. he raio of specific heas a cosa p ad cosa V V P V p V so p v p / R / M i.e. veloci idepede of pressure for ideal gas pical value for air a room emperaure ~350 ms - 93

Energy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation.

Energy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation. ecure Phys 375 Eergy Desiy / Eergy Flu / oal Eergy i D Overview ad Moivaio: Fro your sudy of waves i iroducory physics you should be aware ha waves ca raspor eergy fro oe place o aoher cosider he geeraio

More information

Fresnel Dragging Explained

Fresnel Dragging Explained Fresel Draggig Explaied 07/05/008 Decla Traill Decla@espace.e.au The Fresel Draggig Coefficie required o explai he resul of he Fizeau experime ca be easily explaied by usig he priciples of Eergy Field

More information

Calculus BC 2015 Scoring Guidelines

Calculus BC 2015 Scoring Guidelines AP Calculus BC 5 Scorig Guidelies 5 The College Board. College Board, Advaced Placeme Program, AP, AP Ceral, ad he acor logo are regisered rademarks of he College Board. AP Ceral is he official olie home

More information

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i)

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i) Mah PracTes Be sure o review Lab (ad all labs) There are los of good quesios o i a) Sae he Mea Value Theorem ad draw a graph ha illusraes b) Name a impora heorem where he Mea Value Theorem was used i he

More information

UIUC Physics 406 Acoustical Physics of Music. Waves I:

UIUC Physics 406 Acoustical Physics of Music. Waves I: Waves I: Iroducio o Waves - Travelig Waves I hese lecure oes o waves, our goal is o udersad he phsical behavior of waves - waves o guiar srigs, soud waves i air, ad also i dese media - such as vibraig

More information

Big O Notation for Time Complexity of Algorithms

Big O Notation for Time Complexity of Algorithms BRONX COMMUNITY COLLEGE of he Ciy Uiversiy of New York DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE CSI 33 Secio E01 Hadou 1 Fall 2014 Sepember 3, 2014 Big O Noaio for Time Complexiy of Algorihms Time

More information

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws.

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws. Limi of a fucio.. Oe-Sided..... Ifiie limis Verical Asympoes... Calculaig Usig he Limi Laws.5 The Squeeze Theorem.6 The Precise Defiiio of a Limi......7 Coiuiy.8 Iermediae Value Theorem..9 Refereces..

More information

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory Liear Time-Ivaria Sysems (LTI Sysems) Oulie Basic Sysem Properies Memoryless ad sysems wih memory (saic or dyamic) Causal ad o-causal sysems (Causaliy) Liear ad o-liear sysems (Lieariy) Sable ad o-sable

More information

Review Exercises for Chapter 9

Review Exercises for Chapter 9 0_090R.qd //0 : PM Page 88 88 CHAPTER 9 Ifiie Series I Eercises ad, wrie a epressio for he h erm of he sequece..,., 5, 0,,,, 0,... 7,... I Eercises, mach he sequece wih is graph. [The graphs are labeled

More information

Problems and Solutions for Section 3.2 (3.15 through 3.25)

Problems and Solutions for Section 3.2 (3.15 through 3.25) 3-7 Problems ad Soluios for Secio 3 35 hrough 35 35 Calculae he respose of a overdamped sigle-degree-of-freedom sysem o a arbirary o-periodic exciaio Soluio: From Equaio 3: x = # F! h "! d! For a overdamped

More information

Electrical Engineering Department Network Lab.

Electrical Engineering Department Network Lab. Par:- Elecrical Egieerig Deparme Nework Lab. Deermiaio of differe parameers of -por eworks ad verificaio of heir ierrelaio ships. Objecive: - To deermie Y, ad ABD parameers of sigle ad cascaded wo Por

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

12 Getting Started With Fourier Analysis

12 Getting Started With Fourier Analysis Commuicaios Egieerig MSc - Prelimiary Readig Geig Sared Wih Fourier Aalysis Fourier aalysis is cocered wih he represeaio of sigals i erms of he sums of sie, cosie or complex oscillaio waveforms. We ll

More information

λiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi

λiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi Liear lgebra Lecure #9 Noes This week s lecure focuses o wha migh be called he srucural aalysis of liear rasformaios Wha are he irisic properies of a liear rasformaio? re here ay fixed direcios? The discussio

More information

STK4080/9080 Survival and event history analysis

STK4080/9080 Survival and event history analysis STK48/98 Survival ad eve hisory aalysis Marigales i discree ime Cosider a sochasic process The process M is a marigale if Lecure 3: Marigales ad oher sochasic processes i discree ime (recap) where (formally

More information

Comparison between Fourier and Corrected Fourier Series Methods

Comparison between Fourier and Corrected Fourier Series Methods Malaysia Joural of Mahemaical Scieces 7(): 73-8 (13) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Joural homepage: hp://eispem.upm.edu.my/oural Compariso bewee Fourier ad Correced Fourier Series Mehods 1

More information

2.3 Magnetostatic field

2.3 Magnetostatic field 37.3 Mageosaic field I a domai Ω wih boudar Γ, coaiig permae mages, i.e. aggregaes of mageic dipoles or, from ow o, sead elecric curre disribued wih desi J (m - ), a mageosaic field is se up; i is defied

More information

SUMMATION OF INFINITE SERIES REVISITED

SUMMATION OF INFINITE SERIES REVISITED SUMMATION OF INFINITE SERIES REVISITED I several aricles over he las decade o his web page we have show how o sum cerai iiie series icludig he geomeric series. We wa here o eed his discussio o he geeral

More information

C(p, ) 13 N. Nuclear reactions generate energy create new isotopes and elements. Notation for stellar rates: p 12

C(p, ) 13 N. Nuclear reactions generate energy create new isotopes and elements. Notation for stellar rates: p 12 Iroducio o sellar reacio raes Nuclear reacios geerae eergy creae ew isoopes ad elemes Noaio for sellar raes: p C 3 N C(p,) 3 N The heavier arge ucleus (Lab: arge) he ligher icomig projecile (Lab: beam)

More information

Electromagnetic Waves: Outline. Electromagnetic wave propagation in Particle-In-Cell codes. 1D discrete propagation equation in vacuum

Electromagnetic Waves: Outline. Electromagnetic wave propagation in Particle-In-Cell codes. 1D discrete propagation equation in vacuum Elecromageic Waves: Oulie Elecromageic wave propagaio i Paricle-I-Cell codes Remi Lehe Lawrece Berkele aioal Laboraor (LBL) umerical dispersio ad Coura limi Dispersio ad Coura limi i D Dispersio ad Coura

More information

Let s express the absorption of radiation by dipoles as a dipole correlation function.

Let s express the absorption of radiation by dipoles as a dipole correlation function. MIT Deparme of Chemisry 5.74, Sprig 004: Iroducory Quaum Mechaics II Isrucor: Prof. Adrei Tokmakoff p. 81 Time-Correlaio Fucio Descripio of Absorpio Lieshape Le s express he absorpio of radiaio by dipoles

More information

1 Notes on Little s Law (l = λw)

1 Notes on Little s Law (l = λw) Copyrigh c 26 by Karl Sigma Noes o Lile s Law (l λw) We cosider here a famous ad very useful law i queueig heory called Lile s Law, also kow as l λw, which assers ha he ime average umber of cusomers i

More information

EGR 544 Communication Theory

EGR 544 Communication Theory EGR 544 Commuicaio heory 7. Represeaio of Digially Modulaed Sigals II Z. Aliyazicioglu Elecrical ad Compuer Egieerig Deparme Cal Poly Pomoa Represeaio of Digial Modulaio wih Memory Liear Digial Modulaio

More information

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003 ODEs II, Suppleme o Lecures 6 & 7: The Jorda Normal Form: Solvig Auoomous, Homogeeous Liear Sysems April 2, 23 I his oe, we describe he Jorda ormal form of a marix ad use i o solve a geeral homogeeous

More information

ECE-314 Fall 2012 Review Questions

ECE-314 Fall 2012 Review Questions ECE-34 Fall 0 Review Quesios. A liear ime-ivaria sysem has he ipu-oupu characerisics show i he firs row of he diagram below. Deermie he oupu for he ipu show o he secod row of he diagram. Jusify your aswer.

More information

Transverse Wave Motion

Transverse Wave Motion Trasverse Wave Moio Defiiio of Waves wave is a disurbae ha moves hrough a medium wihou givig he medium, as a whole, a permae displaeme. The geeral ame for hese waves is progressive wave. If he disurbae

More information

Manipulations involving the signal amplitude (dependent variable).

Manipulations involving the signal amplitude (dependent variable). Oulie Maipulaio of discree ime sigals: Maipulaios ivolvig he idepede variable : Shifed i ime Operaios. Foldig, reflecio or ime reversal. Time Scalig. Maipulaios ivolvig he sigal ampliude (depede variable).

More information

th m m m m central moment : E[( X X) ] ( X X) ( x X) f ( x)

th m m m m central moment : E[( X X) ] ( X X) ( x X) f ( x) 1 Trasform Techiques h m m m m mome : E[ ] x f ( x) dx h m m m m ceral mome : E[( ) ] ( ) ( x) f ( x) dx A coveie wa of fidig he momes of a radom variable is he mome geeraig fucio (MGF). Oher rasform echiques

More information

Solutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π

Solutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π Soluios Maual. (a) (b) (c) (d) (e) (f) (g) liear oliear liear liear oliear oliear liear. The Fourier Series is: F () 5si( ) ad he fudameal frequecy is ω f ----- H z.3 Sice V rms V ad f 6Hz, he Fourier

More information

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4)

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4) 7 Differeial equaios Review Solve by he mehod of udeermied coefficies ad by he mehod of variaio of parameers (4) y y = si Soluio; we firs solve he homogeeous equaio (4) y y = 4 The correspodig characerisic

More information

The Eigen Function of Linear Systems

The Eigen Function of Linear Systems 1/25/211 The Eige Fucio of Liear Sysems.doc 1/7 The Eige Fucio of Liear Sysems Recall ha ha we ca express (expad) a ime-limied sigal wih a weighed summaio of basis fucios: v ( ) a ψ ( ) = where v ( ) =

More information

Paper 3A3 The Equations of Fluid Flow and Their Numerical Solution Handout 1

Paper 3A3 The Equations of Fluid Flow and Their Numerical Solution Handout 1 Paper 3A3 The Equaios of Fluid Flow ad Their Numerical Soluio Hadou Iroducio A grea ma fluid flow problems are ow solved b use of Compuaioal Fluid Damics (CFD) packages. Oe of he major obsacles o he good

More information

Lecture 15 First Properties of the Brownian Motion

Lecture 15 First Properties of the Brownian Motion Lecure 15: Firs Properies 1 of 8 Course: Theory of Probabiliy II Term: Sprig 2015 Isrucor: Gorda Zikovic Lecure 15 Firs Properies of he Browia Moio This lecure deals wih some of he more immediae properies

More information

K3 p K2 p Kp 0 p 2 p 3 p

K3 p K2 p Kp 0 p 2 p 3 p Mah 80-00 Mo Ar 0 Chaer 9 Fourier Series ad alicaios o differeial equaios (ad arial differeial equaios) 9.-9. Fourier series defiiio ad covergece. The idea of Fourier series is relaed o he liear algebra

More information

King Fahd University of Petroleum & Minerals Computer Engineering g Dept

King Fahd University of Petroleum & Minerals Computer Engineering g Dept Kig Fahd Uiversiy of Peroleum & Mierals Compuer Egieerig g Dep COE 4 Daa ad Compuer Commuicaios erm Dr. shraf S. Hasa Mahmoud Rm -4 Ex. 74 Email: ashraf@kfupm.edu.sa 9/8/ Dr. shraf S. Hasa Mahmoud Lecure

More information

An Efficient Method to Reduce the Numerical Dispersion in the HIE-FDTD Scheme

An Efficient Method to Reduce the Numerical Dispersion in the HIE-FDTD Scheme Wireless Egieerig ad Techolog, 0,, 30-36 doi:0.436/we.0.005 Published Olie Jauar 0 (hp://www.scirp.org/joural/we) A Efficie Mehod o Reduce he umerical Dispersio i he IE- Scheme Jua Che, Aue Zhag School

More information

N! AND THE GAMMA FUNCTION

N! AND THE GAMMA FUNCTION N! AND THE GAMMA FUNCTION Cosider he produc of he firs posiive iegers- 3 4 5 6 (-) =! Oe calls his produc he facorial ad has ha produc of he firs five iegers equals 5!=0. Direcly relaed o he discree! fucio

More information

MCR3U FINAL EXAM REVIEW (JANUARY 2015)

MCR3U FINAL EXAM REVIEW (JANUARY 2015) MCRU FINAL EXAM REVIEW (JANUARY 0) Iroducio: This review is composed of possible es quesios. The BEST wa o sud for mah is o do a wide selecio of quesios. This review should ake ou a oal of hours of work,

More information

Clock Skew and Signal Representation

Clock Skew and Signal Representation Clock Skew ad Sigal Represeaio Ch. 7 IBM Power 4 Chip 0/7/004 08 frequecy domai Program Iroducio ad moivaio Sequeial circuis, clock imig, Basic ools for frequecy domai aalysis Fourier series sigal represeaio

More information

BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS

BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS Opimal ear Forecasig Alhough we have o meioed hem explicily so far i he course, here are geeral saisical priciples for derivig he bes liear forecas, ad

More information

Class 36. Thin-film interference. Thin Film Interference. Thin Film Interference. Thin-film interference

Class 36. Thin-film interference. Thin Film Interference. Thin Film Interference. Thin-film interference Thi Film Ierferece Thi- ierferece Ierferece ewee ligh waves is he reaso ha hi s, such as soap ules, show colorful paers. Phoo credi: Mila Zikova, via Wikipedia Thi- ierferece This is kow as hi- ierferece

More information

ENGINEERING MECHANICS

ENGINEERING MECHANICS Egieerig Mechaics CHAPTER ENGINEERING MECHANICS. INTRODUCTION Egieerig mechaics is he sciece ha cosiders he moio of bodies uder he acio of forces ad he effecs of forces o ha moio. Mechaics icludes saics

More information

Math 6710, Fall 2016 Final Exam Solutions

Math 6710, Fall 2016 Final Exam Solutions Mah 67, Fall 6 Fial Exam Soluios. Firs, a sude poied ou a suble hig: if P (X i p >, he X + + X (X + + X / ( evaluaes o / wih probabiliy p >. This is roublesome because a radom variable is supposed o be

More information

Vibration 2-1 MENG331

Vibration 2-1 MENG331 Vibraio MENG33 Roos of Char. Eq. of DOF m,c,k sysem for λ o he splae λ, ζ ± ζ FIG..5 Dampig raios of commo maerials 3 4 T d T d / si cos B B e d d ζ ˆ ˆ d T N e B e B ζ ζ d T T w w e e e B e B ˆ ˆ ζ ζ

More information

Notes 03 largely plagiarized by %khc

Notes 03 largely plagiarized by %khc 1 1 Discree-Time Covoluio Noes 03 largely plagiarized by %khc Le s begi our discussio of covoluio i discree-ime, sice life is somewha easier i ha domai. We sar wih a sigal x[] ha will be he ipu io our

More information

Moment Generating Function

Moment Generating Function 1 Mome Geeraig Fucio m h mome m m m E[ ] x f ( x) dx m h ceral mome m m m E[( ) ] ( ) ( x ) f ( x) dx Mome Geeraig Fucio For a real, M () E[ e ] e k x k e p ( x ) discree x k e f ( x) dx coiuous Example

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

Section 8. Paraxial Raytracing

Section 8. Paraxial Raytracing Secio 8 Paraxial aracig 8- OPTI-5 Opical Desig ad Isrmeaio I oprigh 7 Joh E. Greiveamp YNU arace efracio (or reflecio) occrs a a ierface bewee wo opical spaces. The rasfer disace ' allows he ra heigh '

More information

BE.430 Tutorial: Linear Operator Theory and Eigenfunction Expansion

BE.430 Tutorial: Linear Operator Theory and Eigenfunction Expansion BE.43 Tuorial: Liear Operaor Theory ad Eigefucio Expasio (adaped fro Douglas Lauffeburger) 9//4 Moivaig proble I class, we ecouered parial differeial equaios describig rasie syses wih cheical diffusio.

More information

The analysis of the method on the one variable function s limit Ke Wu

The analysis of the method on the one variable function s limit Ke Wu Ieraioal Coferece o Advaces i Mechaical Egieerig ad Idusrial Iformaics (AMEII 5) The aalysis of he mehod o he oe variable fucio s i Ke Wu Deparme of Mahemaics ad Saisics Zaozhuag Uiversiy Zaozhuag 776

More information

Extremal graph theory II: K t and K t,t

Extremal graph theory II: K t and K t,t Exremal graph heory II: K ad K, Lecure Graph Theory 06 EPFL Frak de Zeeuw I his lecure, we geeralize he wo mai heorems from he las lecure, from riagles K 3 o complee graphs K, ad from squares K, o complee

More information

Numerical Method for Ordinary Differential Equation

Numerical Method for Ordinary Differential Equation Numerical ehod for Ordiar Differeial Equaio. J. aro ad R. J. Lopez, Numerical Aalsis: A Pracical Approach, 3rd Ed., Wadsworh Publishig Co., Belmo, CA (99): Chap. 8.. Iiial Value Problem (IVP) d (IVP):

More information

If boundary values are necessary, they are called mixed initial-boundary value problems. Again, the simplest prototypes of these IV problems are:

If boundary values are necessary, they are called mixed initial-boundary value problems. Again, the simplest prototypes of these IV problems are: 3. Iiial value problems: umerical soluio Fiie differeces - Trucaio errors, cosisecy, sabiliy ad covergece Crieria for compuaioal sabiliy Explici ad implici ime schemes Table of ime schemes Hyperbolic ad

More information

Section 8 Convolution and Deconvolution

Section 8 Convolution and Deconvolution APPLICATIONS IN SIGNAL PROCESSING Secio 8 Covoluio ad Decovoluio This docume illusraes several echiques for carryig ou covoluio ad decovoluio i Mahcad. There are several operaors available for hese fucios:

More information

Online Supplement to Reactive Tabu Search in a Team-Learning Problem

Online Supplement to Reactive Tabu Search in a Team-Learning Problem Olie Suppleme o Reacive abu Search i a eam-learig Problem Yueli She School of Ieraioal Busiess Admiisraio, Shaghai Uiversiy of Fiace ad Ecoomics, Shaghai 00433, People s Republic of Chia, she.yueli@mail.shufe.edu.c

More information

Harmonic excitation (damped)

Harmonic excitation (damped) Harmoic eciaio damped k m cos EOM: m&& c& k cos c && ζ & f cos The respose soluio ca be separaed io par;. Homogeeous soluio h. Paricular soluio p h p & ζ & && ζ & f cos Homogeeous soluio Homogeeous soluio

More information

Using Linnik's Identity to Approximate the Prime Counting Function with the Logarithmic Integral

Using Linnik's Identity to Approximate the Prime Counting Function with the Logarithmic Integral Usig Lii's Ideiy o Approimae he Prime Couig Fucio wih he Logarihmic Iegral Naha McKezie /26/2 aha@icecreambreafas.com Summary:This paper will show ha summig Lii's ideiy from 2 o ad arragig erms i a cerai

More information

ECE 340 Lecture 15 and 16: Diffusion of Carriers Class Outline:

ECE 340 Lecture 15 and 16: Diffusion of Carriers Class Outline: ECE 340 Lecure 5 ad 6: iffusio of Carriers Class Oulie: iffusio rocesses iffusio ad rif of Carriers Thigs you should kow whe you leave Key Quesios Why do carriers diffuse? Wha haes whe we add a elecric

More information

Math-303 Chapter 7 Linear systems of ODE November 16, Chapter 7. Systems of 1 st Order Linear Differential Equations.

Math-303 Chapter 7 Linear systems of ODE November 16, Chapter 7. Systems of 1 st Order Linear Differential Equations. Mah-33 Chaper 7 Liear sysems of ODE November 6, 7 Chaper 7 Sysems of s Order Liear Differeial Equaios saddle poi λ >, λ < Mah-33 Chaper 7 Liear sysems of ODE November 6, 7 Mah-33 Chaper 7 Liear sysems

More information

Effects of Forces Applied in the Middle Plane on Bending of Medium-Thickness Band

Effects of Forces Applied in the Middle Plane on Bending of Medium-Thickness Band MATEC We of Cofereces 7 7 OI:./ maeccof/77 XXVI R-S-P Semiar 7 Theoreical Foudaio of Civil Egieerig Effecs of Forces Applied i he Middle Plae o Bedig of Medium-Thickess Bad Adre Leoev * Moscow sae uiversi

More information

( ) ( ) ( ) ( ) (b) (a) sin. (c) sin sin 0. 2 π = + (d) k l k l (e) if x = 3 is a solution of the equation x 5x+ 12=

( ) ( ) ( ) ( ) (b) (a) sin. (c) sin sin 0. 2 π = + (d) k l k l (e) if x = 3 is a solution of the equation x 5x+ 12= Eesio Mahemaics Soluios HSC Quesio Oe (a) d 6 si 4 6 si si (b) (c) 7 4 ( si ).si +. ( si ) si + 56 (d) k + l ky + ly P is, k l k l + + + 5 + 7, + + 5 9, ( 5,9) if is a soluio of he equaio 5+ Therefore

More information

Chemical Engineering 374

Chemical Engineering 374 Chemical Egieerig 374 Fluid Mechaics NoNeoia Fluids Oulie 2 Types ad properies of o-neoia Fluids Pipe flos for o-neoia fluids Velociy profile / flo rae Pressure op Fricio facor Pump poer Rheological Parameers

More information

10.3 Autocorrelation Function of Ergodic RP 10.4 Power Spectral Density of Ergodic RP 10.5 Normal RP (Gaussian RP)

10.3 Autocorrelation Function of Ergodic RP 10.4 Power Spectral Density of Ergodic RP 10.5 Normal RP (Gaussian RP) ENGG450 Probabiliy ad Saisics for Egieers Iroducio 3 Probabiliy 4 Probabiliy disribuios 5 Probabiliy Desiies Orgaizaio ad descripio of daa 6 Samplig disribuios 7 Ifereces cocerig a mea 8 Comparig wo reames

More information

ANALYSIS OF THE CHAOS DYNAMICS IN (X n,x n+1) PLANE

ANALYSIS OF THE CHAOS DYNAMICS IN (X n,x n+1) PLANE ANALYSIS OF THE CHAOS DYNAMICS IN (X,X ) PLANE Soegiao Soelisioo, The Houw Liog Badug Isiue of Techolog (ITB) Idoesia soegiao@sude.fi.ib.ac.id Absrac I he las decade, sudies of chaoic ssem are more ofe

More information

Solutions to selected problems from the midterm exam Math 222 Winter 2015

Solutions to selected problems from the midterm exam Math 222 Winter 2015 Soluios o seleced problems from he miderm eam Mah Wier 5. Derive he Maclauri series for he followig fucios. (cf. Pracice Problem 4 log( + (a L( d. Soluio: We have he Maclauri series log( + + 3 3 4 4 +...,

More information

Pure Math 30: Explained!

Pure Math 30: Explained! ure Mah : Explaied! www.puremah.com 6 Logarihms Lesso ar Basic Expoeial Applicaios Expoeial Growh & Decay: Siuaios followig his ype of chage ca be modeled usig he formula: (b) A = Fuure Amou A o = iial

More information

Lecture 15: Three-tank Mixing and Lead Poisoning

Lecture 15: Three-tank Mixing and Lead Poisoning Lecure 15: Three-ak Miig ad Lead Poisoig Eigevalues ad eigevecors will be used o fid he soluio of a sysem for ukow fucios ha saisfy differeial equaios The ukow fucios will be wrie as a 1 colum vecor [

More information

F D D D D F. smoothed value of the data including Y t the most recent data.

F D D D D F. smoothed value of the data including Y t the most recent data. Module 2 Forecasig 1. Wha is forecasig? Forecasig is defied as esimaig he fuure value ha a parameer will ake. Mos scieific forecasig mehods forecas he fuure value usig pas daa. I Operaios Maageme forecasig

More information

Dissipative Relativistic Bohmian Mechanics

Dissipative Relativistic Bohmian Mechanics [arxiv 1711.0446] Dissipaive Relaivisic Bohmia Mechaics Roume Tsekov Deparme of Physical Chemisry, Uiversiy of Sofia, 1164 Sofia, Bulgaria I is show ha quaum eagleme is he oly force able o maiai he fourh

More information

5.74 Introductory Quantum Mechanics II

5.74 Introductory Quantum Mechanics II MIT OpeCourseWare hp://ocw.mi.edu 5.74 Iroducory Quaum Mechaics II Sprig 009 For iformaio aou ciig hese maerials or our Terms of Use, visi: hp://ocw.mi.edu/erms. drei Tokmakoff, MIT Deparme of Chemisry,

More information

L-functions and Class Numbers

L-functions and Class Numbers L-fucios ad Class Numbers Sude Number Theory Semiar S. M.-C. 4 Sepember 05 We follow Romyar Sharifi s Noes o Iwasawa Theory, wih some help from Neukirch s Algebraic Number Theory. L-fucios of Dirichle

More information

F.Y. Diploma : Sem. II [AE/CH/FG/ME/PT/PG] Applied Mathematics

F.Y. Diploma : Sem. II [AE/CH/FG/ME/PT/PG] Applied Mathematics F.Y. Diploma : Sem. II [AE/CH/FG/ME/PT/PG] Applied Mahemaics Prelim Quesio Paper Soluio Q. Aemp ay FIVE of he followig : [0] Q.(a) Defie Eve ad odd fucios. [] As.: A fucio f() is said o be eve fucio if

More information

ECE 340 Lecture 19 : Steady State Carrier Injection Class Outline:

ECE 340 Lecture 19 : Steady State Carrier Injection Class Outline: ECE 340 ecure 19 : Seady Sae Carrier Ijecio Class Oulie: iffusio ad Recombiaio Seady Sae Carrier Ijecio Thigs you should kow whe you leave Key Quesios Wha are he major mechaisms of recombiaio? How do we

More information

ELEG5693 Wireless Communications Propagation and Noise Part II

ELEG5693 Wireless Communications Propagation and Noise Part II Deparme of Elecrical Egieerig Uiversiy of Arkasas ELEG5693 Wireless Commuicaios Propagaio ad Noise Par II Dr. Jigxia Wu wuj@uark.edu OUTLINE Wireless chael Pah loss Shadowig Small scale fadig Simulaio

More information

Optimization of Rotating Machines Vibrations Limits by the Spring - Mass System Analysis

Optimization of Rotating Machines Vibrations Limits by the Spring - Mass System Analysis Joural of aerials Sciece ad Egieerig B 5 (7-8 (5 - doi: 765/6-6/57-8 D DAVID PUBLISHING Opimizaio of Roaig achies Vibraios Limis by he Sprig - ass Sysem Aalysis BENDJAIA Belacem sila, Algéria Absrac: The

More information

Principles of Communications Lecture 1: Signals and Systems. Chih-Wei Liu 劉志尉 National Chiao Tung University

Principles of Communications Lecture 1: Signals and Systems. Chih-Wei Liu 劉志尉 National Chiao Tung University Priciples of Commuicaios Lecure : Sigals ad Sysems Chih-Wei Liu 劉志尉 Naioal Chiao ug Uiversiy cwliu@wis.ee.cu.edu.w Oulies Sigal Models & Classificaios Sigal Space & Orhogoal Basis Fourier Series &rasform

More information

Actuarial Society of India

Actuarial Society of India Acuarial Sociey of Idia EXAMINAIONS Jue 5 C4 (3) Models oal Marks - 5 Idicaive Soluio Q. (i) a) Le U deoe he process described by 3 ad V deoe he process described by 4. he 5 e 5 PU [ ] PV [ ] ( e ).538!

More information

ME 3210 Mechatronics II Laboratory Lab 6: Second-Order Dynamic Response

ME 3210 Mechatronics II Laboratory Lab 6: Second-Order Dynamic Response Iroucio ME 30 Mecharoics II Laboraory Lab 6: Seco-Orer Dyamic Respose Seco orer iffereial equaios approimae he yamic respose of may sysems. I his lab you will moel a alumium bar as a seco orer Mass-Sprig-Damper

More information

A Two-Level Quantum Analysis of ERP Data for Mock-Interrogation Trials. Michael Schillaci Jennifer Vendemia Robert Buzan Eric Green

A Two-Level Quantum Analysis of ERP Data for Mock-Interrogation Trials. Michael Schillaci Jennifer Vendemia Robert Buzan Eric Green A Two-Level Quaum Aalysis of ERP Daa for Mock-Ierrogaio Trials Michael Schillaci Jeifer Vedemia Rober Buza Eric Gree Oulie Experimeal Paradigm 4 Low Workload; Sigle Sessio; 39 8 High Workload; Muliple

More information

EXAMPLE SHEET B (Partial Differential Equations) SPRING 2014

EXAMPLE SHEET B (Partial Differential Equations) SPRING 2014 Copuaioal Mechaics Eaples B - David Apsle EXAMPLE SHEET B Parial Differeial Equaios SPRING 0 B. Solve he parial differeial equaio 0 0 o, u u u u B. Classif he followig d -order PDEs as hperbolic, parabolic

More information

Chapter 2: Time-Domain Representations of Linear Time-Invariant Systems. Chih-Wei Liu

Chapter 2: Time-Domain Representations of Linear Time-Invariant Systems. Chih-Wei Liu Caper : Time-Domai Represeaios of Liear Time-Ivaria Sysems Ci-Wei Liu Oulie Iroucio Te Covoluio Sum Covoluio Sum Evaluaio Proceure Te Covoluio Iegral Covoluio Iegral Evaluaio Proceure Iercoecios of LTI

More information

OLS bias for econometric models with errors-in-variables. The Lucas-critique Supplementary note to Lecture 17

OLS bias for econometric models with errors-in-variables. The Lucas-critique Supplementary note to Lecture 17 OLS bias for ecoomeric models wih errors-i-variables. The Lucas-criique Supplemeary oe o Lecure 7 RNy May 6, 03 Properies of OLS i RE models I Lecure 7 we discussed he followig example of a raioal expecaios

More information

EE757 Numerical Techniques in Electromagnetics Lecture 8

EE757 Numerical Techniques in Electromagnetics Lecture 8 757 Numerical Techiques i lecromageics Lecure 8 2 757, 206, Dr. Mohamed Bakr 2D FDTD e i J e i J e i J T TM 3 757, 206, Dr. Mohamed Bakr T Case wo elecric field compoes ad oe mageic compoe e i J e i J

More information

Vibration damping of the cantilever beam with the use of the parametric excitation

Vibration damping of the cantilever beam with the use of the parametric excitation The s Ieraioal Cogress o Soud ad Vibraio 3-7 Jul, 4, Beijig/Chia Vibraio dampig of he cailever beam wih he use of he parameric exciaio Jiří TŮMA, Pavel ŠURÁNE, Miroslav MAHDA VSB Techical Uiversi of Osrava

More information

Traveling Waves. Chapter Introduction

Traveling Waves. Chapter Introduction Chaper 4 Traveling Waves 4.1 Inroducion To dae, we have considered oscillaions, i.e., periodic, ofen harmonic, variaions of a physical characerisic of a sysem. The sysem a one ime is indisinguishable from

More information

In this section we will study periodic signals in terms of their frequency f t is said to be periodic if (4.1)

In this section we will study periodic signals in terms of their frequency f t is said to be periodic if (4.1) Fourier Series Iroducio I his secio we will sudy periodic sigals i ers o heir requecy is said o be periodic i coe Reid ha a sigal ( ) ( ) ( ) () or every, where is a uber Fro his deiiio i ollows ha ( )

More information

A note on deviation inequalities on {0, 1} n. by Julio Bernués*

A note on deviation inequalities on {0, 1} n. by Julio Bernués* A oe o deviaio iequaliies o {0, 1}. by Julio Berués* Deparameo de Maemáicas. Faculad de Ciecias Uiversidad de Zaragoza 50009-Zaragoza (Spai) I. Iroducio. Le f: (Ω, Σ, ) IR be a radom variable. Roughly

More information

Clock Skew and Signal Representation. Program. Timing Engineering

Clock Skew and Signal Representation. Program. Timing Engineering lock Skew ad Sigal epreseaio h. 7 IBM Power 4 hip Iroducio ad moivaio Sequeial circuis, clock imig, Basic ools for frequecy domai aalysis Fourier series sigal represeaio Periodic sigals ca be represeed

More information

MITPress NewMath.cls LAT E X Book Style Size: 7x9 September 27, :04am. Contents

MITPress NewMath.cls LAT E X Book Style Size: 7x9 September 27, :04am. Contents Coes 1 Temporal filers 1 1.1 Modelig sequeces 1 1.2 Temporal filers 3 1.2.1 Temporal Gaussia 5 1.2.2 Temporal derivaives 6 1.2.3 Spaioemporal Gabor filers 8 1.3 Velociy-ued filers 9 Bibliography 13 1

More information

INVESTMENT PROJECT EFFICIENCY EVALUATION

INVESTMENT PROJECT EFFICIENCY EVALUATION 368 Miljeko Crjac Domiika Crjac INVESTMENT PROJECT EFFICIENCY EVALUATION Miljeko Crjac Professor Faculy of Ecoomics Drsc Domiika Crjac Faculy of Elecrical Egieerig Osijek Summary Fiacial efficiecy of ivesme

More information

Theoretical Physics Prof. Ruiz, UNC Asheville, doctorphys on YouTube Chapter R Notes. Convolution

Theoretical Physics Prof. Ruiz, UNC Asheville, doctorphys on YouTube Chapter R Notes. Convolution Theoreical Physics Prof Ruiz, UNC Asheville, docorphys o YouTube Chaper R Noes Covoluio R1 Review of he RC Circui The covoluio is a "difficul" cocep o grasp So we will begi his chaper wih a review of he

More information

Two Coupled Oscillators / Normal Modes

Two Coupled Oscillators / Normal Modes Lecure 3 Phys 3750 Two Coupled Oscillaors / Normal Modes Overview and Moivaion: Today we ake a small, bu significan, sep owards wave moion. We will no ye observe waves, bu his sep is imporan in is own

More information

The Change of the Distances between the Wave Fronts

The Change of the Distances between the Wave Fronts Joural of Physical Mahemaics IN: 9-9 Research Aricle Aricle Joural of Physical Mahemaics Geadiy ad iali, J Phys Mah 7, 8: DOI: 47/9-97 OMI Ope Ieraioal Access Opical Fizeau Experime wih Movig Waer is Explaied

More information

Fourier transform. Continuous-time Fourier transform (CTFT) ω ω

Fourier transform. Continuous-time Fourier transform (CTFT) ω ω Fourier rasform Coiuous-ime Fourier rasform (CTFT P. Deoe ( he Fourier rasform of he sigal x(. Deermie he followig values, wihou compuig (. a (0 b ( d c ( si d ( d d e iverse Fourier rasform for Re { (

More information

Complementi di Fisica Lecture 6

Complementi di Fisica Lecture 6 Comlemei di Fisica Lecure 6 Livio Laceri Uiversià di Triese Triese, 15/17-10-2006 Course Oulie - Remider The hysics of semicoducor devices: a iroducio Basic roeries; eergy bads, desiy of saes Equilibrium

More information

Lateral torsional buckling of rectangular beams using variational iteration method

Lateral torsional buckling of rectangular beams using variational iteration method Scieific Research ad Essas Vol. 6(6), pp. 445-457, 8 March, Available olie a hp://www.academicjourals.org/sre ISSN 99-48 Academic Jourals Full egh Research Paper aeral orsioal bucklig of recagular beams

More information

Math 2414 Homework Set 7 Solutions 10 Points

Math 2414 Homework Set 7 Solutions 10 Points Mah Homework Se 7 Soluios 0 Pois #. ( ps) Firs verify ha we ca use he iegral es. The erms are clearly posiive (he epoeial is always posiive ad + is posiive if >, which i is i his case). For decreasig we

More information

Economics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017

Economics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017 Deparme of Ecoomics The Ohio Sae Uiversiy Ecoomics 8723 Macroecoomic Theory Problem Se 2 Professor Sajay Chugh Sprig 207 Labor Icome Taxes, Nash-Bargaied Wages, ad Proporioally-Bargaied Wages. I a ecoomy

More information

6.003: Signals and Systems

6.003: Signals and Systems 6.003: Sigals ad Sysems Lecure 8 March 2, 2010 6.003: Sigals ad Sysems Mid-erm Examiaio #1 Tomorrow, Wedesday, March 3, 7:30-9:30pm. No reciaios omorrow. Coverage: Represeaios of CT ad DT Sysems Lecures

More information

CHAPTER 2 TORSIONAL VIBRATIONS

CHAPTER 2 TORSIONAL VIBRATIONS Dr Tiwari, Associae Professor, De. of Mechaical Egg., T Guwahai, (riwari@iig.ere.i) CHAPTE TOSONAL VBATONS Torsioal vibraios is redomia wheever here is large discs o relaively hi shafs (e.g. flywheel of

More information