Statistical Optics and Free Electron Lasers
|
|
- Martha Arnold
- 5 years ago
- Views:
Transcription
1 Saisical Opics ad Fee leco Lases ialuca eloi uopea XFL Los Ageles UCLA Jauay 5 h 07
2 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 is difficul if o impossible o coceive a eal egieeig poblem i opics ha does o coai some eleme of uceaiy equiig saisical aalysis... [J.W. oodma Saisical Opics] The same siuaio fo Fee-leco Lases High-gai amplifie ca be descibed i a deemiisic way The iiial codiios iheely iclude elemes of uceaiy equiig saisical aalysis A exeal seed lase ca be descibed as a classical deemiisic field A eegy modulaio iduced by modulaos ca also be cosideed deemiisic Deemiisic desiy modulaio is also possible Bu he sho-oise i he eleco beams is always pese ad is vey fudameal some cases i epeses he mai sigal SAS ohes i is deimeal seeded FLs A saisical Opics eame of FLs mus be based o A saisical aalysis of sho-oise A model of he FL pocess
3 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 3 Coes Sho oise as sochasic sigal Deemiisic pa: FL amplificaio The SAS case FL amplifie ad sochasic pocess Coelaio fucios ad figues of mei
4 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 4 Sho-oise as sochasic sigal
5 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 5 Sho-oise descipio i elaivisic eleco beams fom he LNAC Paicle disibuio disceeess of elecic chage: N e - umbe of elecos pe buch C ~ 6e9 elecos p p - adom vaiables: aival imes ad posiio a he eace of he udulao z=0 Oigi of adomess: phooemissio a he cahode Semiclassical heoy based o P ; A = α A x y; Pobabiliy of phooeve i coh. ime A coh. aea phoocahode lase iesiy x y; P > ; A egligible Numbe of phooeves i ad ae saisically idepede
6 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 6 esuls i Poisso space-ime impulse pocess wih pobabiliy of fidig K eves bewee ad + i he aea A give by K is he aveage umbe of phooeves h defies he quaum efficiecy ad is he iegaed iesiy Moe i deail he assumpios fo he semiclassical heoy ae based o elecos as wavefucios evolvig accodig o he Schoedige equaio [see e.g. Madel ad Wolf Opical Coheece ad quaum opics] i m V e m is he eleco mass V he aomic Coulomb poeial c = 0 cos ω kyz he icide field classical deemiisic; hee he dipole appoximaio has bee used ad a calculaio of he asiio pobabiliy yields ou saig assumpios Semiclassical heoy is i ageeme wih fully quaum c
7 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 7 piciple quaum uceaiy may play a ole duig adiaio emissio i ems of: Quaum ecoil Negligible fo a lage aio bewee he FL badwidh ad he eegy of a phoo elaive o he eleco eegy. This efes o he so-called quaum FL paamee ρ = πργmc i he quaum case hω Usually quaum ecoil egligible fo pese pojecs. FL i he quaum egime poposed ad sudied elsewhee by may [e.g. Boifacio Pellegii Piovella Robb Schiavi Schoede ] Quaum diffusio Always pese: i iduces eegy spead i he eleco beam [Saldi Scheidmille Yukov NM A ]: Limis he shoes wavelegh achievable Rece wok [see Aisimov Quaum aue of elecos i classical FLs FL05] wa ha effecs due o he quaum aue of sigle elecos Fee-space dispesio of eleco wavepackes popagaig alog he udulao+quaum aveage may yield o lage-hapeviously-believed quaum effecs fo HXR; ad especially fo hamoic lasig. Hee we eglec hese effecs. helical h e u c e liea mc mc u
8 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 8 Ude hese assumpios we deal wih a classical cue We sick o a classical descipio of he e.m. field ad classical Saisical Opics is ou laguage Summig up sho-oise is a space-ime adom Poissoia pocess ad cue desiy a he eace of he udulao give by Usually N e is ivoked o ea he pocess as aussia. Fo a D cue i he fequecy domai
9 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 m 9 Re T Usually veified..g. ~ 0 9 ~ 80 fs Hz [ ~ 0.m] [ ~ 4m] z Phases uifomly disibued i 0 Aival imes ae saisically idepede of each ohe discussed befoe
10 0 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 Fo N e ad i follow aussia disibuios Bu ad i ae acually joily aussia ha is The ca be show o follow he Rayleigh disibuio ad usig he asfomaio we obai wih ha is he usual egaive expoeial disibuio Ad i he ime domai exp i i P exp P P d d P P exp P exp P
11 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 Coceig he cue desiy We also have Ay iegal of he cue desiy i ay domai! he follows he amma disibuio wih vaiace equal o he elaive dispesio: moe lae Sho-oise ca be eaed as a space-ime aussia pocess exp j j j j P z z z z
12 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 Deemiisic pa: FL amplificaio
13 3 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 As discussed befoe he FL amplifie ca be descibed i a deemiisic way Oe way o descibe he full paicle disibuio is o use he Klimoovich disibuio Hee e is he max volume desiy of elecos ad sadad vaiables ae aleady ioduced i he logiudial diecio: ad The coiuiy equaio holds : Coside oly ieacio of a sigle eleco wih collecive fields fom he beam This meas ha we ae acually ivokig a Vlasov equaio. p N p p p p e p p P P z p P F e ; P c z z k w 0 ; dz z p P df
14 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 Helical udulao wih asvese coodiaes as paamees 4 wih θ s = K γ Soluio i he liea egime uses he paicle disibuio backgoud ad a small liea egime peubaio ive he asvese pofile fucio S wih S0= ad 0 he ypical asvese beam size he cue desiy is Vlasov equaio mus be solved ogehe wih Maxwell equaios xpasio i azimuhal hamoics Assume give saig desiy modulaio as iiial codiio Hee ad below follow: Saldi Scheidmille Yukov Op. Comm
15 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 5 The SAS case. FL amplifie ad sochasic pocess
16 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 6 aussia pocess. Ad a liealy fileed aussia adom pocess is also a aussia pocess. Theefoe i he liea egime he field iheis he saisical popeies of he cue paicula he iesiy i he ime ~ o fequecy domai ω ~ ω fixed z follows a egaive expoeial disibuio as well-kow P exp Ad ay iegal of follows a amma disibuio. Fo example give U dd o U d U dd o M M P U M U U M U Wih he amma fucio ad exp M U U M U U - U he ivese elaive dispesio
17 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 7 M is he iepeed as he aveage umbe of modes The meaig of M depeds o he defiiio of he iegal. U dd U d U d modes Ad obviously cosideig U modes hough a moochomao. is he oal eegy i he pulse he M is he oal umbe of modes is he powe he M is he umbe of asvese modes is he eegy desiy a give posiio. The M is he umbe of logiudial dd Degee of asvese ad logiudial coheece is ivese mode umbe oe obais M as he umbe of logiudial Peak Bighess is defied we will comme o his defiiio lae! i ems of logiudial ad asvese modes as B 4 c 3 ave N ph c
18 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 Ay iegal of follows a amma disibuio see befoe... 8 Ye logiudial ad asvese modes ae eaed vey diffeely by he amplificaio pocess. Tasvesely diffee self-epoducig modes have diffee gais The well-kow mode-guidig mechaism akes place ad oly oe mode eds o suvive [Saldi Scheidmille ad Yukov Op. Comm ]
19 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 9 Obsevaio Whe oly oe mode eds o suvive oe expecs good asvese coheece This is coec. Howeve he pesece of may logiudial modes limis he max degee achievable due o ieplay bewee logiudial ad asvese modes: asvese modes deped o fequecy
20 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 0 [Saldi Scheidmille ad Yukov New Joual of Physics 00] Behaviou of powe coheece log. & asv. ad bighess LieaNoliea&sauaio Liea egime: wha discussed above holds Sauaio: he saisical popeies of sho-oise ae asfomed by he o-lieaiy of he FL file
21 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 Coelaio fucios ad figues of mei
22 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 A saisical sudy of adiaio popeies is bee doe wih he help of coelaio fucios. Fo isace i he ime-domai a fixed z Ad equivalely i he fequecy domai The kowledge of all ode coelaio fucios is eeded o fully chaaceize he sochasic pocess see oodma. he case of a aussia pocess FL i he liea egime he mome heoem applies This meas ha he basic quaiy o sudy i hese cases is O equivalely he same applies i ohe domais fo isace f we ae i he oliea egime i sill makes sese o sudy hese fucios bu hey do o fully chaaceize he pocess * * m m m m * * m m m m p p * *
23 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 Logiudial diagosics 3 ive a saisical measueme of he specal coelaio ca we ge he phoo pulse duaio? Based i weighed specal secod ode coelaio fucio Sigle-sho specum assumig give Lie fo he specomee
24 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 4 Use a model fo he amplificaio pocess o deive a aalyical expessio fo Fi he expeimeally measued wih he aalyical expessio o deive he pulse duaio woks icely! The model fo is based o woks also afe he liea egime bu his easoig is sicly ok i he liea egime
25 5 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 f he ivese buch duaio is small compaed o he FL badwidh quasi-saioaiy is a good appoximaio z f f
26 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 Wiee-Khichi Theoem Quasi-saioaiy is assumed 6 f 0 f 0 Specal coelaio FT pais Specal desiy esiy 0 f 0 Tempoal coelaio f
27 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 Logiudial Coheece 7 his way oe fixes = 0 ad ca sudy logiudial coheece a fixed asvese posiio i he fequecy domai usig 0 f z 0 if quasi saioay O i he ime domai usig 0 f z 0 if quasi saioay Depedece o fixed posiio is sill hee because hee is o quasi-homogeeiy i geeal quasi-homogeeiy is as quasi-saioaiy i he spaial domai Sudy of asvese coheece is doe isead by sudyig slow depedece o if quasisaioay a =0 0 ~ ~ ~ O by sudyig slow depedece o ime if quasi-saioay 0 Tasvese Coheece * * a =0
28 8 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 saioay quasi if f 0 0 Coheece ime Degee of asvese coheece g g d c o z d d d if quasi-saioay 0 * ~ ~ * ca be show [Saldi Scheidmille Yukov Op. Comm ] ha i he liea egime =M
29 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 9 Bighess Radiomey based o geomeical opics he cocep of Radiace is used Radiace is Specal phoo flux pe ui aea pe ui pojecio agle is he phoo flux desiy i phase space Whe Liouville holds o - dissipaive case he desiy of sysem pois ea a give poi evolvig hough phase - space is cosa wih ime The he Bighess is he maximum flux desiy i phase - space ad is he heoeical max coceaio of phoo flux desiy deliveed by a ideal opical imagig sysem
30 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 Bighess 30 Beyod geomeical opics oe uses he cocep of Wige disibuio Kwag-Je Kim was he fis o apply his appoach o SR & FLs see Bazaov PRSTAB fo a eview Sa wih coss-specal desiy ~ ~ z z z ca be see as he aalogue of a desiy maix Wige disibuio is he FT of he coss-specal desiy *
31 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 Bighess The W disibuio ca obviously be used o expess he degee of asvese coheece i a equivale way as doe wih he coss-specal desiy 3 The W disibuio ca also be used o exed he oio of Bighess i a vey aual way B = max[w Compae wih he pevious defiiio: 4 c 3 ave N ph The lae ca be wie i ems of iegals of Wige fucio B c Ad does o iclude ifomaio o wavefo popeies which is isead icluded i B = max[w hough fo FLs he fudameal mode has ypically a ice wavefo
32 3 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 Bighess Noe ha also hee we ae usig he asvese W fucio This migh be geealized usig he full coelaio fucio Ad he We ca sick o he pevious defiiio of Bighess ~ ~ * z z d d i c i A W ] exp[ B = max[w
Supplementary Information
Supplemeay Ifomaio No-ivasive, asie deemiaio of he coe empeaue of a hea-geeaig solid body Dea Ahoy, Daipaya Saka, Aku Jai * Mechaical ad Aeospace Egieeig Depame Uivesiy of Texas a Aligo, Aligo, TX, USA.
More informationComparing Different Estimators for Parameters of Kumaraswamy Distribution
Compaig Diffee Esimaos fo Paamees of Kumaaswamy Disibuio ا.م.د نذير عباس ابراهيم الشمري جامعة النهرين/بغداد-العراق أ.م.د نشات جاسم محمد الجامعة التقنية الوسطى/بغداد- العراق Absac: This pape deals wih compaig
More informationThe Central Limit Theorems for Sums of Powers of Function of Independent Random Variables
ScieceAsia 8 () : 55-6 The Ceal Limi Theoems fo Sums of Poes of Fucio of Idepede Radom Vaiables K Laipapo a ad K Neammaee b a Depame of Mahemaics Walailak Uivesiy Nakho Si Thammaa 86 Thailad b Depame of
More informationTransistor configurations: There are three main ways to place a FET/BJT in an architecture:
F3 Mo 0. Amplifie Achiecues Whe a asiso is used i a amplifie, oscillao, file, seso, ec. i will also be a eed fo passive elemes like esisos, capacios ad coils o povide biasig so ha he asiso has he coec
More informationINF 5460 Electronic noise Estimates and countermeasures. Lecture 13 (Mot 10) Amplifier Architectures
NF 5460 lecoic oise simaes ad couemeasues Lecue 3 (Mo 0) Amplifie Achiecues Whe a asiso is used i a amplifie, oscillao, file, seso, ec. i will also be a eed fo passive elemes like esisos, capacios ad coils
More informationReal-time TDDFT simulations within SIESTA. Daniel Sánchez-Portal, Rafi Ullah, Fabiano Corsetti, Miguel Pruneda and Emilio Artacho
Real-ime TDDFT simulaios wihi SIESTA Daiel Sáchez-Poal, Rafi Ullah, Fabiao Cosei, Miguel Pueda ad Emilio Aacho Mai objecive Apply eal-ime simulaios wihi ime-depede desiy fucioal heoy TDDFT o sudy eleco
More informationOn a Z-Transformation Approach to a Continuous-Time Markov Process with Nonfixed Transition Rates
Ge. Mah. Noes, Vol. 24, No. 2, Ocobe 24, pp. 85-96 ISSN 229-784; Copyigh ICSRS Publicaio, 24 www.i-css.og Available fee olie a hp://www.gema.i O a Z-Tasfomaio Appoach o a Coiuous-Time Maov Pocess wih Nofixed
More informationOn imploding cylindrical and spherical shock waves in a perfect gas
J. Fluid Mech. (2006), vol. 560, pp. 103 122. c 2006 Cambidge Uivesiy Pess doi:10.1017/s0022112006000590 Pied i he Uied Kigdom 103 O implodig cylidical ad spheical shock waves i a pefec gas By N. F. PONCHAUT,
More informationAvailable online at J. Math. Comput. Sci. 2 (2012), No. 4, ISSN:
Available olie a h://scik.og J. Mah. Comu. Sci. 2 (22), No. 4, 83-835 ISSN: 927-537 UNBIASED ESTIMATION IN BURR DISTRIBUTION YASHBIR SINGH * Deame of Saisics, School of Mahemaics, Saisics ad Comuaioal
More information6.2 Improving Our 3-D Graphics Pipeline
6.2. IMPROVING OUR 3-D GRAPHICS PIPELINE 8 6.2 Impovig Ou 3-D Gaphics Pipelie We iish ou basic 3D gaphics pipelie wih he implemeaio o pespecive. beoe we do his, we eview homogeeous coodiaes. 6.2. Homogeeous
More informationSpectrum of The Direct Sum of Operators. 1. Introduction
Specu of The Diec Su of Opeaos by E.OTKUN ÇEVİK ad Z.I.ISMILOV Kaadeiz Techical Uivesiy, Faculy of Scieces, Depae of Maheaics 6080 Tabzo, TURKEY e-ail adess : zaeddi@yahoo.co bsac: I his wok, a coecio
More informationECSE Partial fraction expansion (m<n) 3 types of poles Simple Real poles Real Equal poles
ECSE- Lecue. Paial facio expasio (m
More information10.3 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 informationOutline. Review Homework Problem. Review Homework Problem II. Review Dimensionless Problem. Review Convection Problem
adial diffsio eqaio Febay 4 9 Diffsio Eqaios i ylidical oodiaes ay aeo Mechaical Egieeig 5B Seia i Egieeig Aalysis Febay 4, 9 Olie eview las class Gadie ad covecio boday codiio Diffsio eqaio i adial coodiaes
More informationCapítulo. of Particles: Energy and Momentum Methods
Capíulo 5 Kieics of Paicles: Eegy ad Momeum Mehods Mecáica II Coes Ioducio Wok of a Foce Piciple of Wok & Eegy pplicaios of he Piciple of Wok & Eegy Powe ad Efficiecy Sample Poblem 3. Sample Poblem 3.
More informationCAPACITY ANALYSIS OF ASYMPTOTICALLY LARGE MIMO CHANNELS. Georgy Levin
CAPACITY ANALYSIS OF ASYMPTOTICALLY LAGE MIMO CANNELS by Geogy Levi The hesis submied o he Faculy of Gaduae ad Posdocoal Sudies i paial fulfillme of he equiemes fo he degee of DOCTO OF PILOSOPY i Elecical
More informationLecture 17: Kinetics of Phase Growth in a Two-component System:
Lecue 17: Kineics of Phase Gowh in a Two-componen Sysem: descipion of diffusion flux acoss he α/ ineface Today s opics Majo asks of oday s Lecue: how o deive he diffusion flux of aoms. Once an incipien
More informationLecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation
Lecue 8: Kineics of Phase Gowh in a Two-componen Sysem: geneal kineics analysis based on he dilue-soluion appoximaion Today s opics: In he las Lecues, we leaned hee diffeen ways o descibe he diffusion
More informationRedes de Computadores
Redes de Compuadoes Deay Modes i Compue Newoks Maue P. Ricado Facudade de Egehaia da Uivesidade do Poo » Wha ae he commo muipexig saegies?» Wha is a Poisso pocess?» Wha is he Lie heoem?» Wha is a queue?»
More information1 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 informationCalculus 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 informationarxiv: v4 [math.pr] 20 Jul 2016
Submied o he Aals of Applied Pobabiliy ε-strong SIMULATION FOR MULTIDIMENSIONAL STOCHASTIC DIFFERENTIAL EQUATIONS VIA ROUGH PATH ANALYSIS axiv:1403.5722v4 [mah.pr] 20 Jul 2016 By Jose Blache, Xiyu Che
More informationAnalysis of Stress in PD Front End Solenoids I. Terechkine
TD-05-039 Sepembe 0, 005 I. Ioducio. Aalysis of Sess i PD Fo Ed Soleoids I. Teechkie Thee ae fou diffee ypes of supecoducig soleoids used fo beam focusig i he Fod Ed of he Poo Dive. Table 1 gives a idea
More informationMoment 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 informationEnergy 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 informationEconomics 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 informationFresnel 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 informationIntroduction IJSER. spinless nucleus of charge Ze, where Z is the number of. magnetization densities of nucleus. [1].
Ieaioal Joual o Scieiic & Egieeig Reseach, Volume 6, Issue, Decembe-015 367 Ielasic logiudial eleco scaeig C om acos i Ni Fias Z. Majeed 1 ad Fadhel M. Hmood* 1 1Depame o physics, College o Sciece, Baghdad
More informationODEs 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 informationCameras and World Geometry
Caeas ad Wold Geoe How all is his woa? How high is he caea? Wha is he caea oaio w. wold? Which ball is close? Jaes Has Thigs o eebe Has Pihole caea odel ad caea (pojecio) ai Hoogeeous coodiaes allow pojecio
More informationModel characterization of impulse response for diffuse optical indoor wireless channels
2005 WEA I. Cof. o DYNAMICAL YTEM ad CONTOL Veice Ialy Novembe 2-4 2005 pp545-550 Model caaceizaio of impulse espose fo diffuse opical idoo wieless caels Adia Miaescu Maius Oeseau Uivesiaea Polieica Timişoaa
More informationSection 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 informationLESSON 15: COMPOUND INTEREST
High School: Expoeial Fuctios LESSON 15: COMPOUND INTEREST 1. You have see this fomula fo compoud ieest. Paamete P is the picipal amou (the moey you stat with). Paamete is the ieest ate pe yea expessed
More informationBEST 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 informationMultiparameter Golay 2-complementary sequences and transforms
Mulipaamee Golay -plemeay sequeces ad asfoms V.G. Labues, V.P. Chasovsih, E. Osheime Ual Sae Foes Egieeig Uivesiy, Sibisy a, 37, Eaeibug, Russia, 6000 Capica LLC, Pompao Beach, Floida, USA Absac. I his
More information2 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 informationConsider the time-varying system, (14.1)
Leue 4 // Oulie Moivaio Equivale Defiiios fo Lyapuov Sabiliy Uifomly Sabiliy ad Uifomly Asympoial Sabiliy 4 Covese Lyapuov Theoem 5 Ivaiae- lie Theoem 6 Summay Moivaio Taig poblem i ool, Suppose ha x (
More informationGENERALIZED FRACTIONAL INTEGRAL OPERATORS AND THEIR MODIFIED VERSIONS
GENERALIZED FRACTIONAL INTEGRAL OPERATORS AND THEIR MODIFIED VERSIONS HENDRA GUNAWAN Absac. Associaed o a fucio ρ :(, ) (, ), le T ρ be he opeao defied o a suiable fucio space by T ρ f(x) := f(y) dy, R
More informationECE-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 informationLet 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 informationTechnical Report: Bessel Filter Analysis
Sasa Mahmoodi 1 Techical Repot: Bessel Filte Aalysis 1 School of Electoics ad Compute Sciece, Buildig 1, Southampto Uivesity, Southampto, S17 1BJ, UK, Email: sm3@ecs.soto.ac.uk I this techical epot, we
More informationSTK4080/9080 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 informationThe Alpha-Logarithmic Series Distribution of Order k and Some of Its Applications
oual of Saisical Theo ad Applicaios Vol. 5 No. 3 Sepembe 6 73-85 The Alpha-Logaihmic Seies Disibuio of Ode ad Some of Is Applicaios C. Saheesh Kuma Depame of Saisics Uivesi of Keala Tivadum - 695 58 Idia
More informationExistence and Smoothness of Solution of Navier-Stokes Equation on R 3
Ieaioal Joual of Mode Noliea Theoy ad Applicaio, 5, 4, 7-6 Published Olie Jue 5 i SciRes. hp://www.scip.og/joual/ijma hp://dx.doi.og/.436/ijma.5.48 Exisece ad Smoohess of Soluio of Navie-Sokes Equaio o
More informationTwo-dimensional Effects on the CSR Interaction Forces for an Energy-Chirped Bunch. Rui Li, J. Bisognano, R. Legg, and R. Bosch
Two-dimensional Effecs on he CS Ineacion Foces fo an Enegy-Chiped Bunch ui Li, J. Bisognano,. Legg, and. Bosch Ouline 1. Inoducion 2. Pevious 1D and 2D esuls fo Effecive CS Foce 3. Bunch Disibuion Vaiaion
More informationOne of the common descriptions of curvilinear motion uses path variables, which are measurements made along the tangent t and normal n to the path of
Oe of he commo descipios of cuilie moio uses ph ibles, which e mesuemes mde log he ge d oml o he ph of he picles. d e wo ohogol xes cosideed sepely fo eey is of moio. These coodies poide ul descipio fo
More informationTDCDFT: Nonlinear regime
Lecue 3 TDCDFT: Noliea egime Case A. Ullich Uivesiy of Missoui Beasque Sepembe 2008 Oveview Lecue I: Basic fomalism of TDCDFT Lecue II: Applicaios of TDCDFT i liea espose Lecue III: TDCDFT i he oliea egime
More informationMATH Midterm Solutions
MATH 2113 - Midtem Solutios Febuay 18 1. A bag of mables cotais 4 which ae ed, 4 which ae blue ad 4 which ae gee. a How may mables must be chose fom the bag to guaatee that thee ae the same colou? We ca
More informationThe shortest path between two truths in the real domain passes through the complex domain. J. Hadamard
Complex Analysis R.G. Halbud R.Halbud@ucl.ac.uk Depamen of Mahemaics Univesiy College London 202 The shoes pah beween wo uhs in he eal domain passes hough he complex domain. J. Hadamad Chape The fis fundamenal
More informationNeutron Slowing Down Distances and Times in Hydrogenous Materials. Erin Boyd May 10, 2005
Neu Slwig Dw Disaces ad Times i Hydgeus Maeials i Byd May 0 005 Oulie Backgud / Lecue Maeial Neu Slwig Dw quai Flux behavi i hydgeus medium Femi eame f calculaig slwig dw disaces ad imes. Bief deivai f
More informationBig 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 informationSTUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE WEIBULL DISTRIBUTION
Inenaional Jounal of Science, Technology & Managemen Volume No 04, Special Issue No. 0, Mach 205 ISSN (online): 2394-537 STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE
More informationCOST OPTIMIZATION OF SLAB MILLING OPERATION USING GENETIC ALGORITHMS
COST OPTIMIZATIO OF SLAB MILLIG OPERATIO USIG GEETIC ALGORITHMS Bhavsa, S.. ad Saghvi, R.C. G H Pael College of Egieeig ad Techology, Vallah Vidyaaga 388 20, Aad, Gujaa E-mail:sake976@yahoo.co.i; ajeshsaghvi@gce.ac.i
More informationComplementi 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 informationF 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 informationStochastic Design of Enhanced Network Management Architecture and Algorithmic Implementations
Ameica Joual of Opeaios Reseach 23 3 87-93 hp://dx.doi.og/.4236/ajo.23.3a8 Published Olie Jauay 23 (hp://.scip.og/joual/ajo) Sochasic Desig of Ehaced Neo Maageme Achiecue ad Algoihmic Implemeaios Sog-Kyoo
More informationC(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 informationIdeal 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( ) 1 Comparison Functions. α is strictly increasing since ( r) ( r ) α = for any positive real number c. = 0. It is said to belong to
Compaiso Fuctios I this lesso, we study stability popeties of the oautoomous system = f t, x The difficulty is that ay solutio of this system statig at x( t ) depeds o both t ad t = x Thee ae thee special
More informationB. 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 informationPure 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 informationLecture-V Stochastic Processes and the Basic Term-Structure Equation 1 Stochastic Processes Any variable whose value changes over time in an uncertain
Lecue-V Sochasic Pocesses and he Basic Tem-Sucue Equaion 1 Sochasic Pocesses Any vaiable whose value changes ove ime in an unceain way is called a Sochasic Pocess. Sochasic Pocesses can be classied as
More informationGeneral Non-Arbitrage Model. I. Partial Differential Equation for Pricing A. Traded Underlying Security
1 Geneal Non-Abiage Model I. Paial Diffeenial Equaion fo Picing A. aded Undelying Secuiy 1. Dynamics of he Asse Given by: a. ds = µ (S, )d + σ (S, )dz b. he asse can be eihe a sock, o a cuency, an index,
More informationth 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 informationNumerical Solution of Sine-Gordon Equation by Reduced Differential Transform Method
Poceedigs of he Wold Cogess o Egieeig Vol I WCE, July 6-8,, Lodo, U.K. Nueical Soluio of Sie-Godo Equaio by Reduced Diffeeial Tasfo Mehod Yıldıay Kesi, İbahi Çağla ad Ayşe Beül Koç Absac Reduced diffeeial
More informationRelations on the Apostol Type (p, q)-frobenius-euler Polynomials and Generalizations of the Srivastava-Pintér Addition Theorems
Tish Joal of Aalysis ad Nmbe Theoy 27 Vol 5 No 4 26-3 Available olie a hp://pbssciepbcom/ja/5/4/2 Sciece ad Edcaio Pblishig DOI:269/ja-5-4-2 Relaios o he Aposol Type (p -Fobeis-Ele Polyomials ad Geealizaios
More informationThe 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 informationThe Non-Truncated Bulk Arrival Queue M x /M/1 with Reneging, Balking, State-Dependent and an Additional Server for Longer Queues
Alied Maheaical Sciece Vol. 8 o. 5 747-75 The No-Tucaed Bul Aival Queue M x /M/ wih Reei Bali Sae-Deede ad a Addiioal Seve fo Loe Queue A. A. EL Shebiy aculy of Sciece Meofia Uiveiy Ey elhebiy@yahoo.co
More informationMultivector Functions
I: J. Math. Aal. ad Appl., ol. 24, No. 3, c Academic Pess (968) 467 473. Multivecto Fuctios David Hestees I a pevious pape [], the fudametals of diffeetial ad itegal calculus o Euclidea -space wee expessed
More informationBy the end of this section you will be able to prove the Chinese Remainder Theorem apply this theorem to solve simultaneous linear congruences
Chapte : Theoy of Modula Aithmetic 8 Sectio D Chiese Remaide Theoem By the ed of this sectio you will be able to pove the Chiese Remaide Theoem apply this theoem to solve simultaeous liea cogueces The
More informationDavid 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 informationAlgebra 2A. Algebra 2A- Unit 5
Algeba 2A Algeba 2A- Ui 5 ALGEBRA 2A Less: 5.1 Name: Dae: Plymial fis O b j e i! I a evalae plymial fis! I a ideify geeal shapes f gaphs f plymial fis Plymial Fi: ly e vaiable (x) V a b l a y a :, ze a
More informationExercise 3 Stochastic Models of Manufacturing Systems 4T400, 6 May
Exercise 3 Sochasic Models of Maufacurig Sysems 4T4, 6 May. Each week a very popular loery i Adorra pris 4 ickes. Each ickes has wo 4-digi umbers o i, oe visible ad he oher covered. The umbers are radomly
More information, on the power of the transmitter P t fed to it, and on the distance R between the antenna and the observation point as. r r t
Lecue 6: Fiis Tansmission Equaion and Rada Range Equaion (Fiis equaion. Maximum ange of a wieless link. Rada coss secion. Rada equaion. Maximum ange of a ada. 1. Fiis ansmission equaion Fiis ansmission
More informationLecture 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 informationNONIMPULSIVE ORBITAL MANEUVERS UNDER THRUST DEVIATIONS EFFECT: CAUSE/EFFECT ALGEBRAIC RELATION TO SEMI-MAJOR AXIS
INPE-30-PRE/6738 NONIMPULSIVE ORBITAL MANEUVERS UNDER THRUST DEVIATIONS EFFECT: CAUSE/EFFECT ALGEBRAIC RELATION TO SEMI-MAJOR AXIS Aôio Delso C. de Jesus* Macelo Lopes Oliveia e Souza Aôio Feado Beachii
More informationTHE SOIL STRUCTURE INTERACTION ANALYSIS BASED ON SUBSTRUCTURE METHOD IN TIME DOMAIN
THE SOIL STRUCTURE INTERACTION ANALYSIS BASED ON SUBSTRUCTURE METHOD IN TIME DOMAIN Musafa KUTANIS Ad Muzaffe ELMAS 2 SUMMARY I is pape, a vaiaio of e FEM wic is so-called geeal subsucue meod is caied
More informationLecture 24: Observability and Constructibility
ectue 24: Obsevability ad Costuctibility 7 Obsevability ad Costuctibility Motivatio: State feedback laws deped o a kowledge of the cuet state. I some systems, xt () ca be measued diectly, e.g., positio
More informationPRICING AMERICAN PUT OPTION WITH DIVIDENDS ON VARIATIONAL INEQUALITY
Joual of Mahemaical cieces: Aaces a Applicaios olume 37 06 Pages 9-36 Aailable a hp://scieificaacescoi DOI: hp://oiog/0864/msaa_700609 PRICIG AMERICA PUT OPTIO ITH DIIDED O ARIATIOAL IEQUALITY XIAOFAG
More informationThe Pigeonhole Principle 3.4 Binomial Coefficients
Discete M athematic Chapte 3: Coutig 3. The Pigeohole Piciple 3.4 Biomial Coefficiets D Patic Cha School of Compute Sciece ad Egieeig South Chia Uivesity of Techology Ageda Ch 3. The Pigeohole Piciple
More informationExtremal 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 informationF.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 informationECE 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 informationTHE ANALYTIC LARGE SIEVE
THE ANALYTIC LAGE SIEVE 1. The aalytic lage sieve I the last lectue we saw how to apply the aalytic lage sieve to deive a aithmetic fomulatio of the lage sieve, which we applied to the poblem of boudig
More information= 5! 3! 2! = 5! 3! (5 3)!. In general, the number of different groups of r items out of n items (when the order is ignored) is given by n!
0 Combiatoial Aalysis Copyight by Deiz Kalı 4 Combiatios Questio 4 What is the diffeece betwee the followig questio i How may 3-lette wods ca you wite usig the lettes A, B, C, D, E ii How may 3-elemet
More informationGeneralized Fibonacci-Type Sequence and its Properties
Geelized Fibocci-Type Sequece d is Popeies Ompsh Sihwl shw Vys Devshi Tuoil Keshv Kuj Mdsu (MP Idi Resech Schol Fculy of Sciece Pcific Acdemy of Highe Educio d Resech Uivesiy Udipu (Rj Absc: The Fibocci
More informationK3 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 informationS, we call the base curve and the director curve. The straight lines
Developable Ruled Sufaces wih Daboux Fame i iowsi -Space Sezai KIZILTUĞ, Ali ÇAKAK ahemaics Depame, Faculy of As ad Sciece, Ezica Uivesiy, Ezica, Tuey ahemaics Depame, Faculy of Sciece, Aau Uivesiy, Ezuum,
More informationCalculus 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 information6/10/2014. Definition. Time series Data. Time series Graph. Components of time series. Time series Seasonal. Time series Trend
6//4 Defiiio Time series Daa A ime series Measures he same pheomeo a equal iervals of ime Time series Graph Compoes of ime series 5 5 5-5 7 Q 7 Q 7 Q 3 7 Q 4 8 Q 8 Q 8 Q 3 8 Q 4 9 Q 9 Q 9 Q 3 9 Q 4 Q Q
More informationSome Properties of Semi-E-Convex Function and Semi-E-Convex Programming*
The Eighh Ieraioal Symposium o Operaios esearch ad Is Applicaios (ISOA 9) Zhagjiajie Chia Sepember 2 22 29 Copyrigh 29 OSC & APOC pp 33 39 Some Properies of Semi-E-Covex Fucio ad Semi-E-Covex Programmig*
More informationL-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 informationThe k-filtering Applied to Wave Electric and Magnetic Field Measurements from Cluster
The -fileing pplied o Wave lecic and Magneic Field Measuemens fom Cluse Jean-Louis PINÇON and ndes TJULIN LPC-CNRS 3 av. de la Recheche Scienifique 4507 Oléans Fance jlpincon@cns-oleans.f OUTLINS The -fileing
More informationProfessor Wei Zhu. 1. Sampling from the Normal Population
AMS570 Pofesso We Zhu. Samplg fom the Nomal Populato *Example: We wsh to estmate the dstbuto of heghts of adult US male. It s beleved that the heght of adult US male follows a omal dstbuto N(, ) Def. Smple
More information12.6 Sequential LMMSE Estimation
12.6 Sequetial LMMSE Estimatio Same kid if settig as fo Sequetial LS Fied umbe of paametes (but hee they ae modeled as adom) Iceasig umbe of data samples Data Model: [ H[ θ + w[ (+1) 1 p 1 [ [[0] [] ukow
More informationComparison 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 informationApplications of force vibration. Rotating unbalance Base excitation Vibration measurement devices
Applicaios of foce viaio Roaig ualace Base exciaio Viaio easuee devices Roaig ualace 1 Roaig ualace: Viaio caused y iegulaiies i he disiuio of he ass i he oaig copoe. Roaig ualace 0 FBD 1 FBD x x 0 e 0
More informationKing 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 informationProgression. CATsyllabus.com. CATsyllabus.com. Sequence & Series. Arithmetic Progression (A.P.) n th term of an A.P.
Pogessio Sequece & Seies A set of umbes whose domai is a eal umbe is called a SEQUENCE ad sum of the sequece is called a SERIES. If a, a, a, a 4,., a, is a sequece, the the expessio a + a + a + a 4 + a
More information12 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