Vibration 2-1 MENG331

Size: px
Start display at page:

Download "Vibration 2-1 MENG331"

Transcription

1 Vibraio MENG33

2 Roos of Char. Eq. of DOF m,c,k sysem for λ o he splae λ, ζ ± ζ FIG..5

3 Dampig raios of commo maerials 3

4 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 ζ ζ Aoher dampig coefficie: Log decreme δ Sec.6.3

5 Log decreme δ v.s. ζ Whe ˆ ˆ e ζ T d Eq..85 δ πζ ζ Eq..86 δ πζ 5

6 Eample. Free Vibraio Respose Due o Impac A cailever beam carries a mass M a he free ed as show i he figure. A mass m falls from a heigh h o o he mass M ad adheres o i wihou reboudig. Deermie he resulig rasverse vibraio of he beam. 6

7 Soluio o Eample. Usig he priciple of coservaio of momeum: & mv m M m M v m m m & gh E. The iiial codiios of he problem ca be saed: m M mg m, & gh k M m m E. Thus he resulig free rasverse vibraio of he beam ca be epressed as: Acos φ 7

8 8 where 3 a 3 / m M l EI m M k A φ & & Soluio o Eample.

9 Eample. Shock Absorber for a Moorcycle A uderdamped shock absorber is o be desiged for a moorcycle of mass kg show i Fig.a. Whe he shock absorber is subjeced o a iiial verical velociy due o a road bump, he resulig displacemeime curve is o be as idicaed i Fig.b. Fid he ecessary siffess ad dampig cosas of he shock absorber if he damped period of vibraio is o be s ad he ampliude is o be reduced o oefourh i oe half cycle i.e.,.5 /4. Also fid he miimum iiial velociy ha leads o a maimum displaceme of 5 mm. 9

10 Eample. Soluio Approach: We use he equaio for he logarihmic decreme i erms of he dampig raio, equaio for he damped period of vibraio, ime correspodig o maimum displaceme for a uderdamped sysem, ad evelope passig hrough he maimum pois of a uderdamped sysem.

11 Eample. Soluio / 4, / 4 Sice.5.5, Hece he logarihmic decreme becomes δ l πζ.776 E. l 6 ζ From which ζ ca be foud as.437. The damped period of vibraio give by s. Hece, τ d π d π.437 π ζ / rad/s

12 c c Eample. Soluio The criical dampig cosa ca be obaied: m N s/m Thus he dampig cosa is give by: c ζc N s/m c ad he siffess by: k m N/m The displaceme of he mass will aai is ma value a ime, give by This gives: or si si d d si ζ siπ.949 π From Problem sec.949

13 Eample. Soluio 3 The evelope passig hrough he ma pois is: Sice 5mm,.5 Xe as & Xe ζ Xe ζ.437 X.455 m ζ ζ si d ζ si d Xe E The velociy of mass ca be obaied by differeiaig he displaceme: Whe, & & X X ζ d cos d m/s d E.3.437

14 Desig Cosideraios Usig he aalysis so far o guide he selecio of compoes. 4

15 Wha is Desig Desig has may defiiios Here we cosider choosig favorable parameers as desig The sprig eamples provide a mehod of desigig vibraio sysems The siffess sprig formulas offer addiioal desig soluios 5

16 Eample Mass kg < m < 3kg ad k > N/m For a possible frequecy rage of 8.6 rad/s < < rad/s For iiial codiios:, v < 3 mm/s Choose a viscous damper c so vibraio respose is always < 5 mm 6

17 Soluio: Wrie dow for zero iiial displaceme Look for ma ampliude Occurs a ime of firs peak T ma Compue he ampliude a T ma Compue dampig raioζ for AT ma.5 7

18 v e ζ si d 4 d 43 Ampliude wors case happes a smalles d 8.6 rad/s wors case happes a ma v 3 mm/s Wih ad v fied a hese values, ivesigae how varies wih ζ Firs peak is highes ad occurs a d d e ζ cos d ζ e ζ si d d Solve for T ma T m a d ζ a d ζ d ζ Sub T ma io :A m ζ T m v ζ e ζ ζ a ζ ζ ζ sia ζ A m ζ v e ζ ζ a ζ ζ 8

19 To keep he ma value less he.5 m solve A ma ζ.5 ζ.8 Usig he upper limi o he mass m 3 kg yields c m ζ kg/s FYI, ζ yields A ma v 37 mm 9 hp://

20 Eample Wha happes o a good desig whe some oe chages he parameers? Car suspesio sysem. How does ζ chage wih mass? Give ζ, m 36 kg, Δ.5 m, compue c, k. k m k 36, mg kδ k mg Δ mg mδ rad/s.5 k N/m ζ c m kg/s

21 Now add 9 kg of passegers ad luggage. Wha happes? m kg Δ mg k ζ c c cr m g Δ m.9.7 rad/s So some oscillaio resuls a a lower frequecy.

22 Mechaicalelecrical aalogies

23 Mechaicalelecrical aalogies 3

24 Numerical Simulaio Solvig differeial equaios by umerical iegraio Euler, RugeKua, ec. Available i Malab, Mahemaica ad Fora or i MS Visual C Use hese o eamie oliear vibraio problems ha do o have aalyical epressios for soluios 4

25 Euler or Tage mehod udo he derivaive d i d lim Δ i i Δ Δ i i 5

26 6 a a a i i i i i i i i i i Δ Δ Δ,,, solve & Udo he derivaive

27 Eample solve d/d3, umerically a 3, ake Δ M M M 7

28 8 Aalyical Soluio e A Ae Ae Ae Ae 3 so ha 3, 3 3 λ λ λ λ λ &

29 For Δ.5.5 i A. i Δ i Δ Time sep is oo large o capure he respose 9

30 For Δ.5 i.. i 3 i Δ.5 i A. i Δ i Δ 3

31 3 Numerical soluio of he d order equaio of vibraio:, Le m k m c k c m & & & & &&

32 3 Wrie as a s order vecor equaio i i i i i i A A m c m k A A Δ Δ,, where, &

33 33 Usually use RugeKua Mos use firs order form Ofe picks Δ Works for oliear equaios oo Δ Δ v f v v v v f i i i i i i i,, && Check Malab [,y]ode3 fu, spa, y

34 Respose o Harmoic Eciaio Forced Vibraio Rao Chap 3 Iroduces he impora cocep of resoace 34

35 Harmoic Eciaio of Udamped Sysems Cosider he usual sprig mass damper sysem wih applied force FF cos is he drivig frequecy F is he magiude of he applied force We akec o sar wih k m F c 35

36 Free Body Diagram y c m F F c& c? k k N F F k k mg mg 36

37 37 Equaios of moio m k m F f f F k m, / where cos cos && && Normalized force

38 Liear ohomogeous ODE: Soluio is sum of homogeous ad paricular soluio The paricular soluio assumes form of forcig fucio physically he ipu wis p X cos 38

39 39 Subsiue io he equaio of moio: yields: solvig cos cos cos f X f X X p p & & / / / s k F m k F X δ

40 Thus he paricular soluio has he form: p f cos 4

41 Add paricular ad homogeeous soluios o ge geeral soluio: A si A cos homogeeous paricular f cos A ad A are cosas of iegraio. 4

42 Could use alerae form: Asi φ homogeeous paricular f cos A ad φ are cosas of iegraio. The relaioship bewee he wo homogeeous forms is give i Usig he form A si A cos homogeeous makes he algebra less complicaed. 4

43 43 f f v v A v A f A A f A f A f A A cos cos si si si cos cos cos si & Apply he iiial codiios o evaluae he cosas

44 Compariso of free ad forced respose Sum of wo harmoic erms of differe frequecies Free respose has ampliude ad phase effeced by forcig fucio Our soluio is o defied for w w because i produces divisio by. 44 The ma ampliude of he forced respose ca be epressed as: X 3. δ s

45 where he quaiy X / δ s is called he magificaio facor, amplificaio facor, or ampliude raio. The variaio of he ampliude raio wih he frequecy raio is show i he Figure. The respose of he sysem ca be ideified o be of hree ypes from he figure. X / δ s r / 45

46 Case. Whe < / <, he deomiaor i Eq.3. is posiive ad he respose is give by Eq.3.5 wihou chage. The harmoic respose of he sysem is i phase wih eeral force, show i figure. I/P X δ s 3. p X cos 3.5 O/P 46

47 / Case. Whe >, he deomiaor i Eq.3. is egaive ad he seadysae soluio ca be epressed as p X cos where he ampliude, δ s X 3. I/P O/P The variaios are show i figure. Ou of phase

48 Toal Respose free vibraio & forced vibraio The oal respose of he sysem, Eq.3.7 or Eq.3.9, ca also be epressed as δ s Acos φ cos; for < FF cos

49 ad δ s Acos φ cos; for >

50 Respose for m kg, k N/m, F N, 5 v.m/s ad. m. v si. f. cos. f. cos ime Noe he obvious presece of wo harmoic sigals 5

51 5 Case 3: Wha happes whe is ear? Beaig m F m F si si / cos cos / & ε m F ε ε si si / π ε π τ b Period of beaig ε b Beaig freq ε π π

52 Bea frequecy.5 f si Time s The bea frequecy is half ha of he blue lie: bea 5

53 Resoace p subsiue io eq.ad solve for A X si X f si A cos X grows wih ou boud f si 53

54 Resoace v f si.. cos... si.. 5 b b

55 Eample : Compue ad plo he respose for m kg, k N/m,,v. m/s, F3 N,. f F m f Equaio for he geeral sol k m 3 N kg N/m kg.si.3 N/kg,.3 N/kg rad rad/s, v / s m/s rad/s he yields: 3 cos rad/s. m 3 m cos 55

56 Eample Give zero iiial codiios a harmoic ipu of Hz wih N magiude ad k N/m, ad measured respose ampliude of.m, compue he mass of he sysem. f rig ideiy cosπ cos for zero iiial codiios f si 4 43 si. m f. / m m π. m.45 kg 56

57 Harmoic Eciaio of Damped Sysems Eedig resoace ad respose calculaio o damped sysems Sec 3.4 &

58 58 Harmoic eciaio of damped sysems & && & && phase shif ow icludes a cos cos cos θ ζ X f F k c m p

59 59 B A B A A B B A X B A s s p s s p s s s s s s p θ si cos cos si a, si cos && & Le p have he form: where: Take derivaives:

60 6 /, ime.specifically for for all si cos s s s s s s s s s s B A f B A B A B f A B A ζ ζ π ζ ζ SUBSTITE THESE VALUES INTO EQUATIONS OF MOTION:

61 Wrie as a mari equaio: ζ ζ A s B s f A s f ζ B s ζ f ζ 6

62 Subsiue he values of A s ad B s io p : p X [ k m c ] f cos ζ ζ Ae si d φ homogeeous or rasie soluio F X / 3.8 θ a X cos θ paricular or seady sae soluio ζ a Add homogeeous ad paricular o ge oal soluio: c k m θ 6 Noe: ha A ad φ will o have he same values as before, as ges large, rasie dies ou

63 Thigs o oice Ifζ, udamped equaios resul Seady sae soluio prevails for large Ofe we igore he rasie erm how large is ζ, how log is? Coefficies of rasie erms cosas of iegraio are effeced by he iiial codiios AND he forcig fucio 63

64 Eample: rad/s, 5 rad/s, ζ., F N, m kg, ad he iiial codiios.5 m ad v. Compare A ad φ for forced ad uforced case: X.33,θ.3 Ae. si.999 φ.33cos5.3 64

65 v.ae. si9.999 φ 9.999Ae. cos9.999 φ.665si5.3 applyig he iial codiios : A.59.5, φ The umbers i are obaied by usig he free respose values 65

66 Proceedig wih igorig he rasie Always check o make sure he rasie is o sigifica For eample, rasies are very impora i earhquakes However, i may machie applicaios rasies may be igored 66

67 Magiude: X f ζ No dimesioal Form: Phase: Frequecy raio: Xk F X f θ a ζr r r r ζr

68 Magiude plo r,... X r, ζ r. ζ. r 6 X r,. X r,.5 4 X r,.7 X r, r 68

69 Magiude plo Fig

70 7 X δ s r ζ r. For a udamped sysem ζ, Eq.3.3 reduces o Eq.3., ad M as r.. Ay amou of dampig ζ > reduces he magificaio facor M for all values of he forcig frequecy. 3. For ay specified value of r, a higher value of dampig reduces he value of M. 4. I he degeerae case of a cosa force whe r, he value of M. X δ s

71 5. The reducio i M i he presece of dampig is very sigifica a or ear resoace. 6. The ampliude of forced vibraio becomes smaller wih icreasig values of he forcig frequecy ha is, M as r. 7. For < ζ <, he maimum value of M occurs whe r ζ or ζ X δ s r ζ r which ca be see o be lower ha he udamped aural frequecy ad he damped frequecy d ζ.

72 8. The maimum value of X whe r ζ is give by: X 3.33 δ s ζ ζ ma ad he value of X a by X δ s dm ζ Useful o measure dampig raio For ζ, whe r. For ζ > dr, he graph of M moooically decreases wih icreasig values of r..77 7

73 Phase plo The followig characerisics of he phase agle ca be observed from figure ad Eq.3.3 as follows: 73

74 θ a ζr r. For a udamped sysem ζ, Eq. 3.3 shows ha he phase agle is for < r < ad 8 for r >. This implies ha he eciaio ad respose are i phase for < r < ad ou of phase for r > whe ζ.. For ζ > ad < r <, he phase agle is give by < Φ < 9, implyig ha he respose lags he eciaio. 3. For ζ > ad r >, he phase agle is give by 9 < Φ < 8, implyig ha he respose leads he eciaio. c k m a 74

75 4. For ζ > ad r, he phase agle is give by Φ 9, implyig ha he phase differece bewee he eciaio ad he respose is For ζ > ad large values of r, he phase agle approaches 8, implyig ha he respose ad he eciaio are ou of phase. 75

76 Phase plo. r. ζ. r. ζ θ r, ζ aa. Φ r π aa. Φ r r r 4 θ r,. θ r,.5 θ r,.7 θ r,.5 z r 3 π π/.5.5 r 76

77 Log plo of magiude X r, ζ r. ζ. r r,... X r,. X r,.5 X r,. X r,.5 X r, r 77

78 Some oes o resoace Resoace is close o r For ζ, r defies resoace As ζ grows resoace moves r < The eac value of r, ca be foud from differeiaig he magiude Resoace occurs a φ π/ 78

79 79 ma peak / ζ ζ ζ ζ ζ < < F Xk r r r dr d F Xk dr d Compue ma peak by differeiaig:

80 ζ.,... Log plo of peak ampliude value r ζ. ζ A ζ A ζ 3. ζ. ζ ζ Depedece of peak locaio o dampig raio r ζ ζ 8

81 Qualiy facor ad badwidh For values of dampig ζ <.5, we ca ake X δ s small ma X δ Power absorbed by damper: ΔW πcx s ζ From figure, R ad R is he badwidh of he sysem. Se X / δ s Q /, hece, r X δ s ma ζ ζ Q Q ζr ζ

82 8 Solvig he equaio for small values of, or ζ ζ r r ζ 3.44 Thus, we obaied 3.46 ζ Q Usig he relaio, 3.4, ζ ζ R r R r R R ζ Qualiy facor ad badwidh

83 Qualiy facor ad badwidh Q ζ 3.46 X / δ s Q / 83 Ref: Tebook, p.34

84 Qualiy facor Q i he s plae ad Freq Resp && && ζ & & Q Q ζ Tuig fork Quarz wach Caesium beam 5 for aomic clock 84

85 Respose of a Damped Sysem Uder The equaio of moio becomes i m && c& k F e Assumig he paricular soluio p Xe i Subsiuig, F X k m ic F F e i X k m c F i k m c k m c Ref: Tebook, Sec 3.5

86 F X F e i iy F Ae Usig he relaio, iφ iφ / [ ] k m c φ c a k m Hece, he seadysae soluio becomes, e p F i φ / [ ] k m c e

87 87 Respose of a Damped Sysem Uder Frequecy Respose The comple frequecy respose is give by: kx H i 3.54 F r iζ The absolue value becomes, where H i r H i e iφ ζr φ a r Thus, he seadysae soluio becomes, F i φ p H i e k F F e i

88 88 If, he correspodig seadysae soluio is give by he imagiary par of Eq.3.53 If, he correspodig seadysae soluio is give by he real par of Eq.3.53 [ ] 3.59 Re Re cos / φ φ i i p e i H k F e i H k F c m k F F F cos F F si [ ] 3.6 Im si / φ φ i p e i H k F c m k F

89 89 Comple Vecor Represeaio of Harmoic Moio Differeiaig Eq.3.58 wih respec o ime, The various erms of he equaio of moio ca be represeed i he figure, 3.6 Acceleraio Velociy e i H k F i i e i H k F i p i p p i p φ φ && &

90 Comple Vecor Represeaio of Harmoic Moio 9 m && c& k F e i 3.47

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

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

ME 321 Kinematics and Dynamics of Machines S. Lambert Winter 2002

ME 321 Kinematics and Dynamics of Machines S. Lambert Winter 2002 ME 31 Kiemaic ad Dyamic o Machie S. Lamber Wier 6.. Forced Vibraio wih Dampig Coider ow he cae o orced vibraio wih dampig. Recall ha he goverig diereial equaio i: m && c& k F() ad ha we will aume ha he

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

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

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

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

CHAPTER 2. Problem 2.1. Given: m k = k 1. Determine the weight of the table sec (b)

CHAPTER 2. Problem 2.1. Given: m k = k 1. Determine the weight of the table sec (b) CHPTER Problem. Give: m T π 0. 5 sec (a) T m 50 g π. Deermie he weigh of he able. 075. sec (b) Taig he raio of Eq. (b) o Eq. (a) ad sqarig he resl gives or T T mg m 50 g m 50 5. 40 lbs 50 0.75. 5 m g 0.5.

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

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

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

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

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

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

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

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

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

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

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

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

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

Advection! Discontinuous! solutions shocks! Shock Speed! ! f. !t + U!f. ! t! x. dx dt = U; t = 0

Advection! Discontinuous! solutions shocks! Shock Speed! ! f. !t + U!f. ! t! x. dx dt = U; t = 0 p://www.d.edu/~gryggva/cfd-course/ Advecio Discoiuous soluios socks Gréar Tryggvaso Sprig Discoiuous Soluios Cosider e liear Advecio Equaio + U = Te aalyic soluio is obaied by caracerisics d d = U; d d

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

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

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

Four equations describe the dynamic solution to RBC model. Consumption-leisure efficiency condition. Consumption-investment efficiency condition

Four equations describe the dynamic solution to RBC model. Consumption-leisure efficiency condition. Consumption-investment efficiency condition LINEAR APPROXIMATION OF THE BASELINE RBC MODEL FEBRUARY, 202 Iroducio For f(, y, z ), mulivariable Taylor liear epasio aroud (, yz, ) f (, y, z) f(, y, z) + f (, y, z)( ) + f (, y, z)( y y) + f (, y, z)(

More information

Time Dependent Queuing

Time Dependent Queuing Time Depede Queuig Mark S. Daski Deparme of IE/MS, Norhweser Uiversiy Evaso, IL 628 Sprig, 26 Oulie Will look a M/M/s sysem Numerically iegraio of Chapma- Kolmogorov equaios Iroducio o Time Depede Queue

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

ECE 570 Session 7 IC 752-E Computer Aided Engineering for Integrated Circuits. Transient analysis. Discuss time marching methods used in SPICE

ECE 570 Session 7 IC 752-E Computer Aided Engineering for Integrated Circuits. Transient analysis. Discuss time marching methods used in SPICE ECE 570 Sessio 7 IC 75-E Compuer Aided Egieerig for Iegraed Circuis Trasie aalysis Discuss ime marcig meods used i SPICE. Time marcig meods. Explici ad implici iegraio meods 3. Implici meods used i circui

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

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

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

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

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

Stochastic Structural Dynamics. Lecture-32. Probabilistic methods in earthquake engineering-1

Stochastic Structural Dynamics. Lecture-32. Probabilistic methods in earthquake engineering-1 Sochasic Srucural Dyamics Lecure-3 Probabilisic mehods i earhquake eieeri- Dr C S Maohar Deparme of Civil Eieeri Professor of Srucural Eieeri Idia Isiue of Sciece Baalore 56 Idia maohar@civil.iisc.ere.i

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

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

12 th Mathematics Objective Test Solutions

12 th Mathematics Objective Test Solutions Maemaics Objecive Tes Soluios Differeiaio & H.O.D A oes idividual is saisfied wi imself as muc as oer are saisfied wi im. Name: Roll. No. Bac [Moda/Tuesda] Maimum Time: 90 Miues [Eac rig aswer carries

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

Four equations describe the dynamic solution to RBC model. Consumption-leisure efficiency condition. Consumption-investment efficiency condition

Four equations describe the dynamic solution to RBC model. Consumption-leisure efficiency condition. Consumption-investment efficiency condition LINEARIZING AND APPROXIMATING THE RBC MODEL SEPTEMBER 7, 200 For f( x, y, z ), mulivariable Taylor liear expasio aroud ( x, yz, ) f ( x, y, z) f( x, y, z) + f ( x, y, z)( x x) + f ( x, y, z)( y y) + f

More information

Available online at J. Math. Comput. Sci. 4 (2014), No. 4, ISSN:

Available online at   J. Math. Comput. Sci. 4 (2014), No. 4, ISSN: Available olie a hp://sci.org J. Mah. Compu. Sci. 4 (2014), No. 4, 716-727 ISSN: 1927-5307 ON ITERATIVE TECHNIQUES FOR NUMERICAL SOLUTIONS OF LINEAR AND NONLINEAR DIFFERENTIAL EQUATIONS S.O. EDEKI *, A.A.

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

S n. = n. Sum of first n terms of an A. P is

S n. = n. Sum of first n terms of an A. P is PROGREION I his secio we discuss hree impora series amely ) Arihmeic Progressio (A.P), ) Geomeric Progressio (G.P), ad 3) Harmoic Progressio (H.P) Which are very widely used i biological scieces ad humaiies.

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

METHOD OF THE EQUIVALENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBLEM FOR ELASTIC DIFFUSION LAYER

METHOD OF THE EQUIVALENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBLEM FOR ELASTIC DIFFUSION LAYER Maerials Physics ad Mechaics 3 (5) 36-4 Received: March 7 5 METHOD OF THE EQUIVAENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBEM FOR EASTIC DIFFUSION AYER A.V. Zemsov * D.V. Tarlaovsiy Moscow Aviaio Isiue

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

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

EE 4314 Lab 2 Handout for Workbench #1 Modeling and Identification of the Double-Mass-Spring-Damper System Fall

EE 4314 Lab 2 Handout for Workbench #1 Modeling and Identification of the Double-Mass-Spring-Damper System Fall EE 434 Lab Hadou for Workbech # Modelig ad Ideificaio of he Double-Mass-Sprig-Damper Sysem Fall IMPORTANT! This hadou is for hose who are assiged o Workbech #. Please check your lab schedule o see which

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

Solutions to Problems 3, Level 4

Solutions to Problems 3, Level 4 Soluios o Problems 3, Level 4 23 Improve he resul of Quesio 3 whe l. i Use log log o prove ha for real >, log ( {}log + 2 d log+ P ( + P ( d 2. Here P ( is defied i Quesio, ad parial iegraio has bee used.

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

6.003: Signals and Systems Lecture 20 April 22, 2010

6.003: Signals and Systems Lecture 20 April 22, 2010 6.003: Sigals ad Sysems Lecure 0 April, 00 6.003: Sigals ad Sysems Relaios amog Fourier Represeaios Mid-erm Examiaio #3 Wedesday, April 8, 7:30-9:30pm. No reciaios o he day of he exam. Coverage: Lecures

More information

UNIT 1: ANALYTICAL METHODS FOR ENGINEERS

UNIT 1: ANALYTICAL METHODS FOR ENGINEERS UNIT : ANALYTICAL METHODS FOR ENGINEERS Ui code: A// QCF Level: Credi vale: OUTCOME TUTORIAL SERIES Ui coe Be able o aalyse ad model egieerig siaios ad solve problems sig algebraic mehods Algebraic mehods:

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

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

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

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

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

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

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

LINEAR APPROXIMATION OF THE BASELINE RBC MODEL SEPTEMBER 17, 2013

LINEAR APPROXIMATION OF THE BASELINE RBC MODEL SEPTEMBER 17, 2013 LINEAR APPROXIMATION OF THE BASELINE RBC MODEL SEPTEMBER 7, 203 Iroducio LINEARIZATION OF THE RBC MODEL For f( xyz,, ) = 0, mulivariable Taylor liear expasio aroud f( xyz,, ) f( xyz,, ) + f( xyz,, )( x

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

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

Samuel Sindayigaya 1, Nyongesa L. Kennedy 2, Adu A.M. Wasike 3

Samuel Sindayigaya 1, Nyongesa L. Kennedy 2, Adu A.M. Wasike 3 Ieraioal Joural of Saisics ad Aalysis. ISSN 48-9959 Volume 6, Number (6, pp. -8 Research Idia Publicaios hp://www.ripublicaio.com The Populaio Mea ad is Variace i he Presece of Geocide for a Simple Birh-Deah-

More information

LINEAR APPROXIMATION OF THE BASELINE RBC MODEL JANUARY 29, 2013

LINEAR APPROXIMATION OF THE BASELINE RBC MODEL JANUARY 29, 2013 LINEAR APPROXIMATION OF THE BASELINE RBC MODEL JANUARY 29, 203 Iroducio LINEARIZATION OF THE RBC MODEL For f( x, y, z ) = 0, mulivariable Taylor liear expasio aroud f( x, y, z) f( x, y, z) + f ( x, y,

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

SHOCK AND VIBRATION RESPONSE SPECTRA COURSE Unit 21 Base Excitation Shock: Classical Pulse

SHOCK AND VIBRATION RESPONSE SPECTRA COURSE Unit 21 Base Excitation Shock: Classical Pulse SHOCK AND VIBRAION RESPONSE SPECRA COURSE Ui 1 Base Exciaio Shock: Classical Pulse By om Irvie Email: omirvie@aol.com Iroucio Cosier a srucure subjece o a base exciaio shock pulse. Base exciaio is also

More information

LIMITS OF FUNCTIONS (I)

LIMITS OF FUNCTIONS (I) LIMITS OF FUNCTIO (I ELEMENTARY FUNCTIO: (Elemeary fucios are NOT piecewise fucios Cosa Fucios: f(x k, where k R Polyomials: f(x a + a x + a x + a x + + a x, where a, a,..., a R Raioal Fucios: f(x P (x,

More information

MODERN CONTROL SYSTEMS

MODERN CONTROL SYSTEMS MODERN CONTROL SYSTEMS Lecure 9, Sae Space Repreeaio Emam Fahy Deparme of Elecrical ad Corol Egieerig email: emfmz@aa.edu hp://www.aa.edu/cv.php?dip_ui=346&er=6855 Trafer Fucio Limiaio TF = O/P I/P ZIC

More information

Lecture 9: Polynomial Approximations

Lecture 9: Polynomial Approximations CS 70: Complexiy Theory /6/009 Lecure 9: Polyomial Approximaios Isrucor: Dieer va Melkebeek Scribe: Phil Rydzewski & Piramaayagam Arumuga Naiar Las ime, we proved ha o cosa deph circui ca evaluae he pariy

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

11. Adaptive Control in the Presence of Bounded Disturbances Consider MIMO systems in the form,

11. Adaptive Control in the Presence of Bounded Disturbances Consider MIMO systems in the form, Lecure 6. Adapive Corol i he Presece of Bouded Disurbaces Cosider MIMO sysems i he form, x Aref xbu x Bref ycmd (.) y Cref x operaig i he presece of a bouded ime-depede disurbace R. All he assumpios ad

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

Modal Analysis of a Tight String

Modal Analysis of a Tight String Moal Aalysis of a Tigh Srig Daiel. S. Sus Associae Professor of Mechaical Egieerig a Egieerig Mechaics Presee o ME Moay, Ocober 30, 000 See: hp://web.ms.eu/~sus/me_classes.hml Basic Theory The srig uer

More information

Euler s Formula. Complex Numbers - Example. Complex Numbers - Example. Complex Numbers - Review. Complex Numbers - Review.

Euler s Formula. Complex Numbers - Example. Complex Numbers - Example. Complex Numbers - Review. Complex Numbers - Review. Chaper ahemaical ehods Slides o accompay lecures i Vibro-Acousic Desig i echaical Sysems by D. W. Herri Deparme of echaical Egieerig Lexigo, KY 456-5 el: 859-8-69 dherri@egr.uky.edu Euler s Formula he

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

Transverse Vibrations of Elastic Thin Beam Resting on Variable Elastic Foundations and Subjected to Traveling Distributed Forces.

Transverse Vibrations of Elastic Thin Beam Resting on Variable Elastic Foundations and Subjected to Traveling Distributed Forces. Trasverse Vibraios of Elasic Thi Beam Resig o Variable Elasic Foudaios ad Subjeced o Travelig Disribued Forces. B. Omolofe ad S.N. Oguyebi * Deparme of Mahemaical Scieces, Federal Uiversiy of Techology,

More information

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

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

FIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE

FIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE Mohia & Samaa, Vol. 1, No. II, December, 016, pp 34-49. ORIGINAL RESEARCH ARTICLE OPEN ACCESS FIED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE 1 Mohia S. *, Samaa T. K. 1 Deparme of Mahemaics, Sudhir Memorial

More information

B. Maddah INDE 504 Simulation 09/02/17

B. Maddah INDE 504 Simulation 09/02/17 B. Maddah INDE 54 Simulaio 9/2/7 Queueig Primer Wha is a queueig sysem? A queueig sysem cosiss of servers (resources) ha provide service o cusomers (eiies). A Cusomer requesig service will sar service

More information

Supplementary Information for Thermal Noises in an Aqueous Quadrupole Micro- and Nano-Trap

Supplementary Information for Thermal Noises in an Aqueous Quadrupole Micro- and Nano-Trap Supplemeary Iformaio for Thermal Noises i a Aqueous Quadrupole Micro- ad Nao-Trap Jae Hyu Park ad Predrag S. Krsić * Physics Divisio, Oak Ridge Naioal Laboraory, Oak Ridge, TN 3783 E-mail: krsicp@orl.gov

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

Linear System Theory

Linear System Theory Naioal Tsig Hua Uiversiy Dearme of Power Mechaical Egieerig Mid-Term Eamiaio 3 November 11.5 Hours Liear Sysem Theory (Secio B o Secio E) [11PME 51] This aer coais eigh quesios You may aswer he quesios

More information

Single Degree of Freedom System Free Vibration

Single Degree of Freedom System Free Vibration Maa Kliah : Diamika Srkr & Pegaar Rekayasa Kegempaa Kode : TSP 30 SKS : 3 SKS Sigle Degree of Freedom Sysem Free Vibraio Perema - TIU : Mahasisa dapa mejelaska eag eori diamika srkr. Mahasisa dapa memba

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

LIMITS OF SEQUENCES AND FUNCTIONS

LIMITS OF SEQUENCES AND FUNCTIONS ФЕДЕРАЛЬНОЕ АГЕНТСТВО ПО ОБРАЗОВАНИЮ Государственное образовательное учреждение высшего профессионального образования «ТОМСКИЙ ПОЛИТЕХНИЧЕСКИЙ УНИВЕРСИТЕТ» VV Koev LIMITS OF SEQUENCES AND FUNCTIONS TeBook

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

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

Numerical Solution of Parabolic Volterra Integro-Differential Equations via Backward-Euler Scheme

Numerical Solution of Parabolic Volterra Integro-Differential Equations via Backward-Euler Scheme America Joural of Compuaioal ad Applied Maemaics, (6): 77-8 DOI:.59/.acam.6. Numerical Soluio of Parabolic Volerra Iegro-Differeial Equaios via Bacward-Euler Sceme Ali Filiz Deparme of Maemaics, Ada Mederes

More information

Single Degree of Freedom System Free Vibration

Single Degree of Freedom System Free Vibration Iegriy, Professioalism, & Erepreership Maa Kliah : Diamika Srkr & Pegaar Rekayasa Kegempaa Kode : CIV 308 SKS : 3 SKS Sigle Degree of Freedom Sysem Free Vibraio Perema - Iegriy, Professioalism, & Erepreership

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

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

( ) ( ) ( ) ( ) (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

Homotopy Analysis Method for Solving Fractional Sturm-Liouville Problems

Homotopy Analysis Method for Solving Fractional Sturm-Liouville Problems Ausralia Joural of Basic ad Applied Scieces, 4(1): 518-57, 1 ISSN 1991-8178 Homoopy Aalysis Mehod for Solvig Fracioal Surm-Liouville Problems 1 A Neamay, R Darzi, A Dabbaghia 1 Deparme of Mahemaics, Uiversiy

More information

Time-domain Aeroelastic Analysis of Bridge using a Truncated Fourier Series of the Aerodynamic Transfer Function

Time-domain Aeroelastic Analysis of Bridge using a Truncated Fourier Series of the Aerodynamic Transfer Function Time-domai Aeroelasic Aalysis of ridge usig a Trucaed Fourier Series of he Aerodyamic Trasfer Fucio Jiwook PA Graduae Sude Seoul aioal iversiy Seoul, orea jwpark7@su.ac.kr H Sug LEE Professor Seoul aioal

More information

6.01: Introduction to EECS I Lecture 3 February 15, 2011

6.01: Introduction to EECS I Lecture 3 February 15, 2011 6.01: Iroducio o EECS I Lecure 3 February 15, 2011 6.01: Iroducio o EECS I Sigals ad Sysems Module 1 Summary: Sofware Egieerig Focused o absracio ad modulariy i sofware egieerig. Topics: procedures, daa

More information

Dynamic h-index: the Hirsch index in function of time

Dynamic h-index: the Hirsch index in function of time Dyamic h-idex: he Hirsch idex i fucio of ime by L. Egghe Uiversiei Hassel (UHassel), Campus Diepebeek, Agoralaa, B-3590 Diepebeek, Belgium ad Uiversiei Awerpe (UA), Campus Drie Eike, Uiversieisplei, B-260

More information

ECE 350 Matlab-Based Project #3

ECE 350 Matlab-Based Project #3 ECE 350 Malab-Based Projec #3 Due Dae: Nov. 26, 2008 Read he aached Malab uorial ad read he help files abou fucio i, subs, sem, bar, sum, aa2. he wrie a sigle Malab M file o complee he followig ask for

More information