From Periodic Motion to Unbounded Chaos: Investigations of the Simple Pendulum

Size: px
Start display at page:

Download "From Periodic Motion to Unbounded Chaos: Investigations of the Simple Pendulum"

Transcription

1 Hom Sarch Collcions Journals Abou Conac us My OPscinc From Priodic Moion o Unboundd Chaos: nvsigaions of h Simpl Pndulum This conn has bn downloadd from OPscinc. Plas scroll down o s h full x. Viw h abl of conns for his issu, or go o h journal hompag for mor Download dails: P Addrss: This conn was downloadd on 02/03/2015 a 19:32 Plas no ha rms and condiions apply.

2 Physica Scripa. Vol. T9,510, 1985 From Priodic Moion o Unboundd Chaos: nvsigaions of h Simpl Pndulum* Lo P. Kadanoff Th Jams Franck and Enrico Frmi nsius, Th Univrsiy of Chicago, Chicago, L 60637, USA Rcivd Jun, 1984; accpd Jun 16, 984 Absrac Th simpls xampl of h ons of chaos in a Hamilonian sysm is providd by h sandard or ChirikovTaylor modl. As a nonlinariy paramr, k, is incrasd h long rm bhavior of h momnum, p, is xamind. A k = 0, p is consrvd. For k < k,, for all saringpoins,p is of boundd variaion. For som saring poins is bhavior is priodic, for ohrs quasipriodic, for ohrs chaoic. A som criical valu of k, unboundd chaoic variaion firs appars. A scaling analysis o dscrib his ons is dscribd. Th problm w will discuss in his lcur has a long hisory. Th basic work in h problm was don by Kolmogorov, Arnold and Mosr [l31; mor rcn work has bn don by J. Grn, B. V. Chirikov, D. Escand, F. Dovil, and R. MacKay. hav workd on his problm in collaboraion wih S. J. Shnkr; pars of his and rlad work wr don in collaboraion wih M. idom, A. Zisook, M. Fignbaum, D. Bnsimon and Subir Sarkar. Th phnomnology of Hamilonian sysms is qui diffrn from ha of dissipaiv sysms. n his lcur w shall analyz in dail h brakdown of a KAM curv and h ons of unboundd chaoic moion in a paricular map. Firs, l us giv hr physical sysms o moiva h sudy of his map. Firs considr a pndulum (Fig. 1) ml2nj = mgsin(2n) (1) in which w choos unis of 0 so ha 0 = 1 corrsponds o 360. L us ac upon his sysm priodically by modulaing g, h forc du o graviy (say, by wiggling h suppor of h pndulum) g = go + g, sin (u) (2) g quaions i. = k()sin(2nb) B=r Hr k() is a priodic funcion of lin wih frquncy w and r is h vlociy of h pndulum. can now us a rick du o PoincarB o ransform his diffrnial quaion ino a map. Obsrv h pndulum onc ach priod of h forc; l rj = r(j) and Bj = 8(j) whr j = (2n/~)~. Sinc h phas of h xrnal forc a im j is indpndn of j, on can ingra h quaions of moion (3) ovr his priod, xprssing h nw sa of h pndulum in rms of is sa on priod arlir: * From lcurs originally dlivrd a Eric in Th wriup coms from nos by R. d la Llav and J. Shna. (3) n gnral, F and G wil b som nonlinar funcions priodic in 8. Th simpls modl which sms o capur h physics of his sysm is h sandard map = rj (k/2n) sin (2~0,) =, +rj+] also known as h ChirikovTaylor modl [4]. (Fradkin and Hubrman [ 51 hav sudid his priodically modulad pndulum and hav indicad how q. (4) can b convrd o q. (5) in svral limiing siuaions.) Th scond sysm w will us o moiva his map is an acclraor modl (Fig. 2). Envision a paricl moving around a circular rack, acclrad ach im i nrs a small box; h acclraion is providd by an a.c. fild in h box a h im h paricl nrs; h qs. (5) dscrib h sa of h paricl as i nrs h box for h j + 1s im in rms of is sa as i nrd h im bfor. On can rxprss q. (5) in h form j+l 28, + j+ = (k/2n) sin (2~0,) (6) which as a discr vrsion of q. (1) prhaps maks h conncion o h pndulum problm mor clar. Finally, considr a solid sa modl of a ondimnsional array of aoms adsorbd on a priodic subsra (Fig. 3). Th jh aom fls a forc from h springs conncing i o is wo nighbors, and from h gradin of h ponial nrgy a is posiion on h priodic subsra. f w choos 0, = xj/a o b h posiion of h jh aom xi dividd by h subsra laic consan a, hn kspring[(j Bj+l) + (j j1)] = ksubsrasin (2nj) (7)!\ h8% Sysm is wiggld up cind down Fzg. 1, Our firs modl. A pndulum is acclrad up and down. (4) (5)

3 6 Lo P. Kadanoff puricl moving wih spd rj phas of paricl occlrod paricl a via oscillaing nry is Bj lcric fild Fig. 2. Th scond modl. A simplifid acclraor. dscribs a saic configuraion of aoms. This is of h form (6). Th brakdown of h KAM surfac has a physical maning hr as a pinning of h dnsiy wav of adsorbd aoms; his problm has bn sudid by Copprsmih al. [6], Aubry [7], and ohrs. Th sandard map q. (5) has no consrvd nrgy; as nod abov, i can rprsn an xrnally forcd pndulum which xchangs nrgy wih is nvironmn. dos, howvr, oby Liouvill s horm Th map posssss a las hr qualiaivly diffrn kinds of orbis: priodic, chaoic, and KAM curvs. To dscrib hs orbis shall draw wo kinds of picurs: Figur 4 plos Oj vs j o show h avrag vlociy and Figur 5 plos (rj,oj) in phas spac o show h naur of h ypical orbis. Th op orbi is priodic; afr hr iraions 81 has incrasd by wo whil rj has rurnd o is iniial valu; sinc 8 and 8 1 ar idnifid, his is a rurn o h iniial sa. Th orbi progrsss q = 2 unis in is priod p = 3, so is avrag spd is p/q = 213. Th boom orbi is chaoic. Chaoic orbis appar o fill aras which w shall argu ar boundd by h KAM curvs. Th middl curv is an xampl of such a KAM curv. All h poins on h orbi fall on a smooh priodicgy climbing curv; i has a wlldfind avrag spd of = (45 1)/2. For larg valus of k, h chaoic rgion bcoms unboundd in h vrical dircion along r (Fig. 6). For many (bu no all) iniial condiions h moion in his rgim appars diffusiv, wih a diffusion consan Chaoic rajcory TERATON NUMBER Fig. 4. Valu of 0j vrsus j for h hr kinds of orbis. On his scal, 0 sms o simply incras linarly. indica ha D grows from zro a a criical valu (now known o b givn by k, = ) lik (k k,)2.56. On h ohr hand, for larg valus of k, D k2. Th lar fac can b undrsood; wri j+ni rj+n rj = (k) sin (2n,) 1=j j+l = j +rj+l For larg k, h succssiv Bj s can b considrd virually indpndn random numbrs mod on, sinc h rj chang by a numbr of ordr k afr ach iraion. Thus (rj+,, rj)2 = (k/27~)~(z sin 2n8,) = ( k/2~)~ z(sin 2n = ( k/2~)~n/2 = D/2n (1 1) and D = ( k/2~)~. hy is h chaos boundd for k d k,? L s sar a k = 0, whr h orbis of q. (5) li on h sraigh horizonal lins r =. For raional, h orbis along r = ar priodic; for irraional any orbi fills h nir lin dnsly. Som of hs which dpnds on k (Fig. 6). Numrical sudis du o Chirikov (9) \ U subs ra a Fig. 3. A solid sa xampl. Paricls on a wavy surfac Fig. 5. Thr kinds of orbis in h r 0 plan.

4 2.01, From Priodic Moion o Unboundd Quos: nvsigaions of h Simpl Pndulum 7, Fig. 6. Unboundd Chaos for k >k,. Hr 500 iraions of a singl saring poin ar plod whn k = 1.8. Th cnral curv is h bs KAM rajcory o brak up and is shown hr o display h diffusion across i. lar orbis will form h KAM rajcoris as w incras k; h m raional orbis will dsroy narby irraional orbis o form chaoic rgions. Fig. 8. Sparaion of chaoic rgions by KAM rajcoris. Th x's and For k > 0 bu small, hr ar los of KAM rajcoris; in dos rprsn wo diffrn chaoic rgions, sparad by many KAM bwn any wo, lis a chaoic rgion (in bwn any wo rajcoris. n (b) kl is largr han in (a). As ~ incrass, KAM rairraionals lis a raional). assr ha h chaoic rgions jcoris disappar and chaoic rgions mrg. ar confind by h prsisnc of horizonal KAM rajcoris (as in Fig. 5). Considr h chaoic rgion, for xampl, condaild mchanism for h brak up according o h lins Of ahing h fixd Poin r = 0, 6 = 0 Th union of h of a small nighborhood of h origin (Fig. 7) undr succssiv iraions of h map ill h gnral form a vry conord Opn s. Howvr, i mus always includ h origin, and canno inrsc a KAM surfac (sinc poins on a KAM surfac ar imags only of ohr poins on h Surfac). Thus no Poin in h nighborhood can vr lav h rgion boundd by horizonal KAM surfacs. As w coninu o incras k, mor and mor KAM curvs brak up, and h chaoic rgions mrg (Fig. 8) unil a = k h las rmaining horizonal KAM curvs disappar and unboundd vrical chaoic diffusion nsus. Empirically, h las surfacs o go hav w = (4: 1)/2, h invrs of h Grk's goldn man [8101 (up o an ingr). Tha is, a kc (Fig. 9) only isolad horizonal curvs ar lf amid h chaos, and hs hav bcom vry crinkld. For k > k, hs curvs also brak up; gaps form in hm, changing h curv ino a Canor s (Fig. O). Th rmaindr of his lcur is dvod o dscribing h h rsarch carrid on by Sco J. Shnkr and myslf [ll. How can w sudy his in dail? G~~~~~ has obsrvd ha hs las KAM curvs can b hough of as a limi of h paricular priodic cycls wih, =pn/q, and = Pn+l = F,, h Fibonacci numbrs. (F, saisfis F~ = F~ = 1, F ~ = + F, ~ + F~]). n Fig. 11, for xampl, w s wo priodic cycls wih w = 213 abov h KAM surfac, and wo blow wih = 3/5. Ths priodic cycls alrnaly convrg o h KAM surfac wih w = ( from abov and blow. ndd, h solid lin in Fig. 11 acually is composd of wo cycls wih = 4181 = Fls, as w can s in h xpandd scal of Fig. 12. Hr no how magnificanly smooh h KAM surfac appars on his lngh scal. why do w choo_s prcisly his squnc of priodic orbis o look a = (d5 1)/2? prhaps hr ar br.. CL KAM 0 is imag X x x x x x 6 1 Fig. 7. mag of iniial rgion including origin. No ha h imag can nvr cross a KAM curv.. *..,.,. * * '.. 4 X =8 Fig. 9. A k,, only a fw whparad KAM rajcoris ar lf so ha hr ar larg chaoic rgions.

5 8 Lo P. Kadanoff r '.*,... 9: *..' L '.,.L.. * *'.*..7, *.. * rgion KAM c ,! ' ,,,, Fig. 12. bu roughly his squnc provids an ordrly progrssion, convrging rapidly and uniformly in is propris o hos of h surfac. On can hink of h n + 1s cycl as "almos" bing h nh cycl followd by h n 1s cycl. Sinc h convrgnc is alrnaing a propr wighing of h prvious wo cycls is a naural choic for h nx; for = (d5 1)/2 h propr wighing is qual. A his poin i will b usful o inroduc h Mosr rprsnaion. Rmmbr ha is an avrag spd for 6 :Bj = Bo + j + O(1) on a priodic orbi or a KAM surfac. f w dfin a im i = o + j. Mosr has shown for small k ha Oj = (j) whr () can b wrin () = + u() (12) wih u( + 1) = ~ (). On h KAM curv for k < k,, u() is a smooh funcion of priod on, and w may dfin a Fourir ransform m u() = A, sin (27"). =1 For cycls =p/q, u() is dfind only on a discr s of poins. Nonhlss, on may dfin a discr Fourir ransform Clarly, A,(,) wih, = F,,/Fn vanishs if w 2 F,. Howvr, (Grn assrs) h valus Aw(n) +Aw() as nz. n Fig. 13 w s u() and wa,() for =d5 1/2, k = 0.5. ( plo u() only o = 0.5;~ is odd abou his poin u(1/2 + ) = u(1/2 ).) Th obvious smoohnss of U is rflcd on A(w), which is xponnially small as w gs larg. No ha alrady A5 is largr han Ad; 4 is no a Fibonacci numbr. n Fig. 14, w s u and wa, fork = 0.9. Nw bumps hav appard in U, and h Fourir ransform rflcs his wih prominn srucur a h low Fibonacci numbrs. (Noic ha hs paks do no rflc numrical ffcs from our us of Fibonacci lngh orbis in approximaing h KAM surfac. Ths frquncis ar naurally arising in h spcrum of h surfac.) Finally, in Fig. 15 w look a k = k,. Figur 15(a(l)) is a graph of u() and a small par of h phas rajcory is shown xpandd in Fig. 15(a(2)). n sriking conras o Fig. 12, i is vry bumpy vn on his small lngh scal. A longr orbi han in Fig. 15(a(2)) would fill h gaps bwn hs dos wih mor bumps lik hs. Figur 15(b) shows h spcrum o*aw a k,. On should ignor h low frquncis (long wavlnghs) as hy dpnd upon h dails C 0.03 v (a' i p a Fig. 11. =3 Fig

6 From Priodic Moion o Unboundd Chaos: nvsigaions of h Simpl Pndulum 9 k = k, = " ' '. " ooL ',.!,,, ' Fig q l&l (j of h map and ar no univrsal. On mus also ignor h vry high frquncis (shor wavlnghs) as h fini lngh of h orbi numrically inroducs rrors. Th scal rgion of h spcrum is xpandd in Fig. 15(c). Th big lins a h Fibonacci numbrs hav sld down: lqna(qn)l is clarly consan as n + =. Also h smallr paks ar sling down, giving a bauiful slfsimilariy. L us look in mor dail a o() nar = 0 (Fig. 16). ( = 0 and = 1/2 ar spcial symmry poins of our map (3). Th funcion () a k, is slfsimilar, scaling [12] and lik [ 131 o() = xo sign () O(T) 7 = n l/ln (LPK [13]) whr 0(7) is a univrsal funcion. Ovrall, h funcion dvlops an infini slop a zro, wih O(l/Fn) = consan.(l/f,)%o (16) Th xponn xo is characrisic of h bhavior of 0 in his ransiion. A similar xponn yo can b dvlopd govrning h bhavior of r(l/f,) r(o). Nar = 1/2, wo mor xponns x1 and y1 govrning 6 and r can b dfind. Finally, wo mor xponns R, and R, can b dfind as follows. To ach Fibonacci raio approximaing h goldn man hr ar wo priodic orbis on sabl (llipic) and on unsabl (hyprbolic). (n h figurs h circls dno llipic, h crosss hyprbolic orbis.) Th drivaiv of h qims irad map for a p/4 cycl has wo ignvalus h and ' (wih X pur imaginary for llipic orbis). Th rsidu is dfind o b 1/4 (2 ' '); is bhavior for = F,,/F, as n + a (k, k) Q 1 is dscribd by h xponns R, and R,. Ths xponns ar abulad in Tabl. (Ths ar old numbrs now ach is known o a las on mor dcimal poin.) Th firs column shows h numrical valus of hs r k = kc =, ,,, [ Fig k = k, k =kc q = 4181 (b) xponns for h brakdown of h las KAM curv in h sandard map (5). Th las column shows h brakdown of h las curv in a diffrn ara prsrving map of h plan; h agrmn in h xponns shown has prsisd using h

7 10 Lo P. Kadanoff () / 1: 0.10 Tabl. Ponially univrsal obsrvabls = [1,1,1. [3,1,4,1. 1 [2,2,2. [1,1,1. x, x, 1, yo y, R, R, ::E// 0.Ooj Fig. 16. Singular bhavior a k = k,. Each bump in his plo of () vs marks an infiniy in h slop. br accuracy availabl oday. Th scond column shows h brakdown of anohr KAM curv, whos winding numbr has coninud fracion which nds in [l, 1, 1.] [bu bgins wih h digis of n]. Again, h xponns agr. Howvr, choosing = 45 1 = [2,2,2... ] and varying k unil his KAM curv braks down, givs disincly diffrn valus for R, and R,. Th grar prcision availabl oday indicas ha his diffrnc is ral, and xnds o h ohr xponns as wll. is hough ha h curv wih winding numbr nding in ons sparas chaoic rgions a is brakdown, whil (,,... ) is surroundd by surviving curvs (.g. [2,2,2..., 2, 1,1,1,...) a is brakdown is nvironmn is qui diffrn as i gos. Thus w s univrsal bhavior; h singulariis a k, ar indpndn of h xac map, or (wihin limis) h xac. s scal invarian bhavior (1 5) wih srucurs which rcur on all scals as + 0, 1/2, and which occurs again and again as h frquncy gos hrough Fibonacci numbrs. s bhavior which is conncd o Fibonacci numbrs. nd an xplanaion for h scaling and univrsaliy bhavior w hav sn. This can b obaind from a rnormalizaion group ramn [14161 which xplains som bu no all of h faurs nod hr. Rfrncs 1. Kolmogorov, A. N., Dokl. Akad. SSSR 98,527 (1954) (Russian). 2. Arnol d,v.., zv. Akad. Nauk 25,21 (1961). 3. Mosr, J., Nachr. Akad. iss. Goingn Mah. Phys. K1. a, 1 (1962). 4. Chirikov, B., Phys. Rv. 52,265 (1979). 5. Fradkin, E. and Hubrman, B., Urbana prprin. 6. Cooprsmih, S. N. al., Phys. Rv. L. 46,459 (1981). 7. Aubry,S., in Solions in Condnsd Mar Physics (ds. A. R. Bishop and T. Schnidr), Springr Vrlag, Nw York (1978). 8. Grn, J. M., J. Mah. Phys. 9,760 (1968). 9. Grn, J. M., J. Mah. Phys. 20,1183 (1979). 10. Grn, J. M. and Prcival,., Physica 3D (1981). 11. Shnkr, Sco J. and Kadanoff, Lo P., J. Sa. Phys. 27, 631 (1 9 82). 12. idom, B., J. Chm. Phys. 43,3989 (1983). 13. Kadanoff, Lo P., Phys. Rv. L. 47,1641 (1981). 14. Escand, D. and Dovil, F.,. Sa. Phys. 26,257 (1981). 15. MacKay, R., Princon Thsis (1983). 16. Kadanoff, Lo P., in Mling, Localizaion and Chaos (ds. R. K. Kalia and P. Vashisa), p Norh Holland, Nw York (1982).

Elementary Differential Equations and Boundary Value Problems

Elementary Differential Equations and Boundary Value Problems Elmnar Diffrnial Equaions and Boundar Valu Problms Boc. & DiPrima 9 h Ediion Chapr : Firs Ordr Diffrnial Equaions 00600 คณ ตศาสตร ว ศวกรรม สาขาว ชาว ศวกรรมคอมพ วเตอร ป การศ กษา /55 ผศ.ดร.อร ญญา ผศ.ดร.สมศ

More information

Boyce/DiPrima 9 th ed, Ch 2.1: Linear Equations; Method of Integrating Factors

Boyce/DiPrima 9 th ed, Ch 2.1: Linear Equations; Method of Integrating Factors Boc/DiPrima 9 h d, Ch.: Linar Equaions; Mhod of Ingraing Facors Elmnar Diffrnial Equaions and Boundar Valu Problms, 9 h diion, b William E. Boc and Richard C. DiPrima, 009 b John Wil & Sons, Inc. A linar

More information

Spring 2006 Process Dynamics, Operations, and Control Lesson 2: Mathematics Review

Spring 2006 Process Dynamics, Operations, and Control Lesson 2: Mathematics Review Spring 6 Procss Dynamics, Opraions, and Conrol.45 Lsson : Mahmaics Rviw. conx and dircion Imagin a sysm ha varis in im; w migh plo is oupu vs. im. A plo migh imply an quaion, and h quaion is usually an

More information

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018 DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS Aoc. Prof. Dr. Burak Kllci Spring 08 OUTLINE Th Laplac Tranform Rgion of convrgnc for Laplac ranform Invr Laplac ranform Gomric valuaion

More information

5. An object moving along an x-coordinate axis with its scale measured in meters has a velocity of 6t

5. An object moving along an x-coordinate axis with its scale measured in meters has a velocity of 6t AP CALCULUS FINAL UNIT WORKSHEETS ACCELERATION, VELOCTIY AND POSITION In problms -, drmin h posiion funcion, (), from h givn informaion.. v (), () = 5. v ()5, () = b g. a (), v() =, () = -. a (), v() =

More information

Midterm exam 2, April 7, 2009 (solutions)

Midterm exam 2, April 7, 2009 (solutions) Univrsiy of Pnnsylvania Dparmn of Mahmaics Mah 26 Honors Calculus II Spring Smsr 29 Prof Grassi, TA Ashr Aul Midrm xam 2, April 7, 29 (soluions) 1 Wri a basis for h spac of pairs (u, v) of smooh funcions

More information

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule Lcur : Numrical ngraion Th Trapzoidal and Simpson s Rul A problm Th probabiliy of a normally disribud (man µ and sandard dviaion σ ) vn occurring bwn h valus a and b is B A P( a x b) d () π whr a µ b -

More information

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

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

More information

Chapter 3: Fourier Representation of Signals and LTI Systems. Chih-Wei Liu

Chapter 3: Fourier Representation of Signals and LTI Systems. Chih-Wei Liu Chapr 3: Fourir Rprsnaion of Signals and LTI Sysms Chih-Wi Liu Oulin Inroducion Complx Sinusoids and Frquncy Rspons Fourir Rprsnaions for Four Classs of Signals Discr-im Priodic Signals Fourir Sris Coninuous-im

More information

On the Speed of Heat Wave. Mihály Makai

On the Speed of Heat Wave. Mihály Makai On h Spd of Ha Wa Mihály Maai maai@ra.bm.hu Conns Formulaion of h problm: infini spd? Local hrmal qulibrium (LTE hypohsis Balanc quaion Phnomnological balanc Spd of ha wa Applicaion in plasma ranspor 1.

More information

whereby we can express the phase by any one of the formulas cos ( 3 whereby we can express the phase by any one of the formulas

whereby we can express the phase by any one of the formulas cos ( 3 whereby we can express the phase by any one of the formulas Third In-Class Exam Soluions Mah 6, Profssor David Lvrmor Tusday, 5 April 07 [0] Th vrical displacmn of an unforcd mass on a spring is givn by h 5 3 cos 3 sin a [] Is his sysm undampd, undr dampd, criically

More information

Voltage v(z) ~ E(z)D. We can actually get to this wave behavior by using circuit theory, w/o going into details of the EM fields!

Voltage v(z) ~ E(z)D. We can actually get to this wave behavior by using circuit theory, w/o going into details of the EM fields! Considr a pair of wirs idal wirs ngh >, say, infinily long olag along a cabl can vary! D olag v( E(D W can acually g o his wav bhavior by using circui hory, w/o going ino dails of h EM filds! Thr

More information

2.1. Differential Equations and Solutions #3, 4, 17, 20, 24, 35

2.1. Differential Equations and Solutions #3, 4, 17, 20, 24, 35 MATH 5 PS # Summr 00.. Diffrnial Equaions and Soluions PS.# Show ha ()C #, 4, 7, 0, 4, 5 ( / ) is a gnral soluion of h diffrnial quaion. Us a compur or calculaor o skch h soluions for h givn valus of h

More information

CPSC 211 Data Structures & Implementations (c) Texas A&M University [ 259] B-Trees

CPSC 211 Data Structures & Implementations (c) Texas A&M University [ 259] B-Trees CPSC 211 Daa Srucurs & Implmnaions (c) Txas A&M Univrsiy [ 259] B-Trs Th AVL r and rd-black r allowd som variaion in h lnghs of h diffrn roo-o-laf pahs. An alrnaiv ida is o mak sur ha all roo-o-laf pahs

More information

Wave Equation (2 Week)

Wave Equation (2 Week) Rfrnc Wav quaion ( Wk 6.5 Tim-armonic filds 7. Ovrviw 7. Plan Wavs in Losslss Mdia 7.3 Plan Wavs in Loss Mdia 7.5 Flow of lcromagnic Powr and h Poning Vcor 7.6 Normal Incidnc of Plan Wavs a Plan Boundaris

More information

An Indian Journal FULL PAPER. Trade Science Inc. A stage-structured model of a single-species with density-dependent and birth pulses ABSTRACT

An Indian Journal FULL PAPER. Trade Science Inc. A stage-structured model of a single-species with density-dependent and birth pulses ABSTRACT [Typ x] [Typ x] [Typ x] ISSN : 974-7435 Volum 1 Issu 24 BioTchnology 214 An Indian Journal FULL PAPE BTAIJ, 1(24), 214 [15197-1521] A sag-srucurd modl of a singl-spcis wih dnsiy-dpndn and birh pulss LI

More information

CSE 245: Computer Aided Circuit Simulation and Verification

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

More information

Transfer function and the Laplace transformation

Transfer function and the Laplace transformation Lab No PH-35 Porland Sa Univriy A. La Roa Tranfr funcion and h Laplac ranformaion. INTRODUTION. THE LAPLAE TRANSFORMATION L 3. TRANSFER FUNTIONS 4. ELETRIAL SYSTEMS Analyi of h hr baic paiv lmn R, and

More information

Phys463.nb Conductivity. Another equivalent definition of the Fermi velocity is

Phys463.nb Conductivity. Another equivalent definition of the Fermi velocity is 39 Anohr quival dfiniion of h Fri vlociy is pf vf (6.4) If h rgy is a quadraic funcion of k H k L, hs wo dfiniions ar idical. If is NOT a quadraic funcion of k (which could happ as will b discussd in h

More information

7.4 QUANTUM MECHANICAL TREATMENT OF FLUCTUATIONS *

7.4 QUANTUM MECHANICAL TREATMENT OF FLUCTUATIONS * Andri Tokmakoff, MIT Dparmn of Chmisry, 5/19/5 7-11 7.4 QUANTUM MECANICAL TREATMENT OF FLUCTUATIONS * Inroducion and Prviw Now h origin of frquncy flucuaions is inracions of our molcul (or mor approprialy

More information

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System EE 422G No: Chapr 5 Inrucor: Chung Chapr 5 Th Laplac Tranform 5- Inroducion () Sym analyi inpu oupu Dynamic Sym Linar Dynamic ym: A procor which proc h inpu ignal o produc h oupu dy ( n) ( n dy ( n) +

More information

Coherence and interactions in diffusive systems. Cours 4. Diffusion + e-e interations

Coherence and interactions in diffusive systems. Cours 4. Diffusion + e-e interations Cohrnc and inracions in diffusiv sysms G. Monambaux Cours 4 iffusion + - inraions nsiy of sas anomaly phasing du o lcron-lcron inracions Why ar h flucuaions univrsal and wak localizaion is no? ΔG G cl

More information

Electron-electron interaction and decoherence in metallic wires

Electron-electron interaction and decoherence in metallic wires Elcron-lcron inracion and dcohrnc in mallic wirs Chrisoph Txir, Gills Monambaux, Univrsié Paris-Sud, Orsay www.lps.u-psud.fr/usrs/gills Elcron-lcron inracion and dcohrnc in mallic wirs ( T ) Msoscopic

More information

fiziks Institute for NET/JRF, GATE, IIT JAM, JEST, TIFR and GRE in PHYSICAL SCIENCES MATEMATICAL PHYSICS SOLUTIONS are

fiziks Institute for NET/JRF, GATE, IIT JAM, JEST, TIFR and GRE in PHYSICAL SCIENCES MATEMATICAL PHYSICS SOLUTIONS are MTEMTICL PHYSICS SOLUTIONS GTE- Q. Considr an ani-symmric nsor P ij wih indics i and j running from o 5. Th numbr of indpndn componns of h nsor is 9 6 ns: Soluion: Th numbr of indpndn componns of h nsor

More information

UNSTEADY FLOW OF A FLUID PARTICLE SUSPENSION BETWEEN TWO PARALLEL PLATES SUDDENLY SET IN MOTION WITH SAME SPEED

UNSTEADY FLOW OF A FLUID PARTICLE SUSPENSION BETWEEN TWO PARALLEL PLATES SUDDENLY SET IN MOTION WITH SAME SPEED 006-0 Asian Rsarch Publishing work (ARP). All righs rsrvd. USTEADY FLOW OF A FLUID PARTICLE SUSPESIO BETWEE TWO PARALLEL PLATES SUDDELY SET I MOTIO WITH SAME SPEED M. suniha, B. Shankr and G. Shanha 3

More information

H is equal to the surface current J S

H is equal to the surface current J S Chapr 6 Rflcion and Transmission of Wavs 6.1 Boundary Condiions A h boundary of wo diffrn mdium, lcromagnic fild hav o saisfy physical condiion, which is drmind by Maxwll s quaion. This is h boundary condiion

More information

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS Answr Ky Nam: Da: UNIT # EXPONENTIAL AND LOGARITHMIC FUNCTIONS Par I Qusions. Th prssion is quivaln o () () 6 6 6. Th ponnial funcion y 6 could rwrin as y () y y 6 () y y (). Th prssion a is quivaln o

More information

Let s look again at the first order linear differential equation we are attempting to solve, in its standard form:

Let s look again at the first order linear differential equation we are attempting to solve, in its standard form: Th Ingraing Facor Mhod In h prvious xampls of simpl firs ordr ODEs, w found h soluions by algbraically spara h dpndn variabl- and h indpndn variabl- rms, and wri h wo sids of a givn quaion as drivaivs,

More information

Microscopic Flow Characteristics Time Headway - Distribution

Microscopic Flow Characteristics Time Headway - Distribution CE57: Traffic Flow Thory Spring 20 Wk 2 Modling Hadway Disribuion Microscopic Flow Characrisics Tim Hadway - Disribuion Tim Hadway Dfiniion Tim Hadway vrsus Gap Ahmd Abdl-Rahim Civil Enginring Dparmn,

More information

Lecture 2: Current in RC circuit D.K.Pandey

Lecture 2: Current in RC circuit D.K.Pandey Lcur 2: urrn in circui harging of apacior hrough Rsisr L us considr a capacior of capacianc is conncd o a D sourc of.m.f. E hrough a rsisr of rsisanc R and a ky K in sris. Whn h ky K is swichd on, h charging

More information

Boyce/DiPrima 9 th ed, Ch 7.8: Repeated Eigenvalues

Boyce/DiPrima 9 th ed, Ch 7.8: Repeated Eigenvalues Boy/DiPrima 9 h d Ch 7.8: Rpad Eignvalus Elmnary Diffrnial Equaions and Boundary Valu Problms 9 h diion by William E. Boy and Rihard C. DiPrima 9 by John Wily & Sons In. W onsidr again a homognous sysm

More information

Logistic equation of Human population growth (generalization to the case of reactive environment).

Logistic equation of Human population growth (generalization to the case of reactive environment). Logisic quaion of Human populaion growh gnralizaion o h cas of raciv nvironmn. Srg V. Ershkov Insiu for Tim aur Exploraions M.V. Lomonosov's Moscow Sa Univrsi Lninski gor - Moscow 999 ussia -mail: srgj-rshkov@andx.ru

More information

1. Inverse Matrix 4[(3 7) (02)] 1[(0 7) (3 2)] Recall that the inverse of A is equal to:

1. Inverse Matrix 4[(3 7) (02)] 1[(0 7) (3 2)] Recall that the inverse of A is equal to: Rfrncs Brnank, B. and I. Mihov (1998). Masuring monary policy, Quarrly Journal of Economics CXIII, 315-34. Blanchard, O. R. Proi (00). An mpirical characrizaion of h dynamic ffcs of changs in govrnmn spnding

More information

Circuits and Systems I

Circuits and Systems I Circuis and Sysms I LECTURE #3 Th Spcrum, Priodic Signals, and h Tim-Varying Spcrum lions@pfl Prof. Dr. Volan Cvhr LIONS/Laboraory for Informaion and Infrnc Sysms Licns Info for SPFirs Slids This wor rlasd

More information

Coherence and interactions in diffusive systems. Lecture 4. Diffusion + e-e interations

Coherence and interactions in diffusive systems. Lecture 4. Diffusion + e-e interations Cohrnc and inracions in diffusiv sysms G. Monambaux cur 4 iffusion + - inraions nsiy of sas anomaly phasing du o lcron-lcron inracions - inracion andau Frmi liquid picur iffusion slows down lcrons ( )

More information

A MATHEMATICAL MODEL FOR NATURAL COOLING OF A CUP OF TEA

A MATHEMATICAL MODEL FOR NATURAL COOLING OF A CUP OF TEA MTHEMTICL MODEL FOR NTURL COOLING OF CUP OF TE 1 Mrs.D.Kalpana, 2 Mr.S.Dhvarajan 1 Snior Lcurr, Dparmn of Chmisry, PSB Polychnic Collg, Chnnai, India. 2 ssisan Profssor, Dparmn of Mahmaics, Dr.M.G.R Educaional

More information

Lagrangian for RLC circuits using analogy with the classical mechanics concepts

Lagrangian for RLC circuits using analogy with the classical mechanics concepts Lagrangian for RLC circuis using analogy wih h classical mchanics concps Albrus Hariwangsa Panuluh and Asan Damanik Dparmn of Physics Educaion, Sanaa Dharma Univrsiy Kampus III USD Paingan, Maguwoharjo,

More information

Poisson process Markov process

Poisson process Markov process E2200 Quuing hory and lraffic 2nd lcur oion proc Markov proc Vikoria Fodor KTH Laboraory for Communicaion nwork, School of Elcrical Enginring 1 Cour oulin Sochaic proc bhind quuing hory L2-L3 oion proc

More information

Applied Statistics and Probability for Engineers, 6 th edition October 17, 2016

Applied Statistics and Probability for Engineers, 6 th edition October 17, 2016 Applid Saisics and robabiliy for Enginrs, 6 h diion Ocobr 7, 6 CHATER Scion - -. a d. 679.. b. d. 88 c d d d. 987 d. 98 f d.. Thn, = ln. =. g d.. Thn, = ln.9 =.. -7. a., by symmry. b.. d...6. 7.. c...

More information

Charging of capacitor through inductor and resistor

Charging of capacitor through inductor and resistor cur 4&: R circui harging of capacior hrough inducor and rsisor us considr a capacior of capacianc is conncd o a D sourc of.m.f. E hrough a rsisr of rsisanc R, an inducor of inducanc and a y K in sris.

More information

The transition:transversion rate ratio vs. the T-ratio.

The transition:transversion rate ratio vs. the T-ratio. PhyloMah Lcur 8 by Dan Vandrpool March, 00 opics of Discussion ransiion:ransvrsion ra raio Kappa vs. ransiion:ransvrsion raio raio alculaing h xpcd numbr of subsiuions using marix algbra Why h nral im

More information

I) Title: Rational Expectations and Adaptive Learning. II) Contents: Introduction to Adaptive Learning

I) Title: Rational Expectations and Adaptive Learning. II) Contents: Introduction to Adaptive Learning I) Til: Raional Expcaions and Adapiv Larning II) Conns: Inroducion o Adapiv Larning III) Documnaion: - Basdvan, Olivir. (2003). Larning procss and raional xpcaions: an analysis using a small macroconomic

More information

S.Y. B.Sc. (IT) : Sem. III. Applied Mathematics. Q.1 Attempt the following (any THREE) [15]

S.Y. B.Sc. (IT) : Sem. III. Applied Mathematics. Q.1 Attempt the following (any THREE) [15] S.Y. B.Sc. (IT) : Sm. III Applid Mahmaics Tim : ½ Hrs.] Prlim Qusion Papr Soluion [Marks : 75 Q. Amp h following (an THREE) 3 6 Q.(a) Rduc h mari o normal form and find is rank whr A 3 3 5 3 3 3 6 Ans.:

More information

Chapter 12 Introduction To The Laplace Transform

Chapter 12 Introduction To The Laplace Transform Chapr Inroducion To Th aplac Tranorm Diniion o h aplac Tranorm - Th Sp & Impul uncion aplac Tranorm o pciic uncion 5 Opraional Tranorm Applying h aplac Tranorm 7 Invr Tranorm o Raional uncion 8 Pol and

More information

Introduction to Fourier Transform

Introduction to Fourier Transform EE354 Signals and Sysms Inroducion o Fourir ransform Yao Wang Polychnic Univrsiy Som slids includd ar xracd from lcur prsnaions prpard y McClllan and Schafr Licns Info for SPFirs Slids his work rlasd undr

More information

Double Slits in Space and Time

Double Slits in Space and Time Doubl Slis in Sac an Tim Gorg Jons As has bn ror rcnly in h mia, a am l by Grhar Paulus has monsra an inrsing chniqu for ionizing argon aoms by using ulra-shor lasr ulss. Each lasr uls is ffcivly on an

More information

Revisiting what you have learned in Advanced Mathematical Analysis

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

More information

LaPlace Transform in Circuit Analysis

LaPlace Transform in Circuit Analysis LaPlac Tranform in Circui Analyi Obciv: Calcula h Laplac ranform of common funcion uing h dfiniion and h Laplac ranform abl Laplac-ranform a circui, including componn wih non-zro iniial condiion. Analyz

More information

a dt a dt a dt dt If 1, then the poles in the transfer function are complex conjugates. Let s look at f t H t f s / s. So, for a 2 nd order system:

a dt a dt a dt dt If 1, then the poles in the transfer function are complex conjugates. Let s look at f t H t f s / s. So, for a 2 nd order system: Undrdamd Sysms Undrdamd Sysms nd Ordr Sysms Ouu modld wih a nd ordr ODE: d y dy a a1 a0 y b f If a 0 0, hn: whr: a d y a1 dy b d y dy y f y f a a a 0 0 0 is h naural riod of oscillaion. is h daming facor.

More information

A HAMILTON-JACOBI TREATMENT OF DISSIPATIVE SYSTEMS

A HAMILTON-JACOBI TREATMENT OF DISSIPATIVE SYSTEMS Europan Scinific Journal Ocobr 13 diion vol9, No3 ISSN: 1857 7881 (Prin) - ISSN 1857-7431 A AMILTON-JACOBI TREATMENT OF DISSIPATIVE SYSTEMS Ola A Jarab'ah Tafila Tchnical Univrsiy, Tafila, Jordan Khald

More information

A THREE COMPARTMENT MATHEMATICAL MODEL OF LIVER

A THREE COMPARTMENT MATHEMATICAL MODEL OF LIVER A THREE COPARTENT ATHEATICAL ODEL OF LIVER V. An N. Ch. Paabhi Ramacharyulu Faculy of ahmaics, R D collgs, Hanamonda, Warangal, India Dparmn of ahmaics, Naional Insiu of Tchnology, Warangal, India E-ail:

More information

EXERCISE - 01 CHECK YOUR GRASP

EXERCISE - 01 CHECK YOUR GRASP DIFFERENTIAL EQUATION EXERCISE - CHECK YOUR GRASP 7. m hn D() m m, D () m m. hn givn D () m m D D D + m m m m m m + m m m m + ( m ) (m ) (m ) (m + ) m,, Hnc numbr of valus of mn will b. n ( ) + c sinc

More information

CHAPTER CHAPTER14. Expectations: The Basic Tools. Prepared by: Fernando Quijano and Yvonn Quijano

CHAPTER CHAPTER14. Expectations: The Basic Tools. Prepared by: Fernando Quijano and Yvonn Quijano Expcaions: Th Basic Prpard by: Frnando Quijano and Yvonn Quijano CHAPTER CHAPTER14 2006 Prnic Hall Businss Publishing Macroconomics, 4/ Olivir Blanchard 14-1 Today s Lcur Chapr 14:Expcaions: Th Basic Th

More information

Institute of Actuaries of India

Institute of Actuaries of India Insiu of Acuaris of India ubjc CT3 Probabiliy and Mahmaical aisics Novmbr Examinaions INDICATIVE OLUTION Pag of IAI CT3 Novmbr ol. a sampl man = 35 sampl sandard dviaion = 36.6 b for = uppr bound = 35+*36.6

More information

A Propagating Wave Packet Group Velocity Dispersion

A Propagating Wave Packet Group Velocity Dispersion Lctur 8 Phys 375 A Propagating Wav Packt Group Vlocity Disprsion Ovrviw and Motivation: In th last lctur w lookd at a localizd solution t) to th 1D fr-particl Schrödingr quation (SE) that corrsponds to

More information

Physics 160 Lecture 3. R. Johnson April 6, 2015

Physics 160 Lecture 3. R. Johnson April 6, 2015 Physics 6 Lcur 3 R. Johnson April 6, 5 RC Circui (Low-Pass Filr This is h sam RC circui w lookd a arlir h im doma, bu hr w ar rsd h frquncy rspons. So w pu a s wav sad of a sp funcion. whr R C RC Complx

More information

C From Faraday's Law, the induced voltage is, C The effect of electromagnetic induction in the coil itself is called selfinduction.

C From Faraday's Law, the induced voltage is, C The effect of electromagnetic induction in the coil itself is called selfinduction. Inducors and Inducanc C For inducors, v() is proporional o h ra of chang of i(). Inducanc (con d) C Th proporionaliy consan is h inducanc, L, wih unis of Hnris. 1 Hnry = 1 Wb / A or 1 V sc / A. C L dpnds

More information

EE 434 Lecture 22. Bipolar Device Models

EE 434 Lecture 22. Bipolar Device Models EE 434 Lcur 22 Bipolar Dvic Modls Quiz 14 Th collcor currn of a BJT was masurd o b 20mA and h bas currn masurd o b 0.1mA. Wha is h fficincy of injcion of lcrons coming from h mir o h collcor? 1 And h numbr

More information

10. If p and q are the lengths of the perpendiculars from the origin on the tangent and the normal to the curve

10. If p and q are the lengths of the perpendiculars from the origin on the tangent and the normal to the curve 0. If p and q ar h lnghs of h prpndiculars from h origin on h angn and h normal o h curv + Mahmaics y = a, hn 4p + q = a a (C) a (D) 5a 6. Wha is h diffrnial quaion of h family of circls having hir cnrs

More information

Control System Engineering (EE301T) Assignment: 2

Control System Engineering (EE301T) Assignment: 2 Conrol Sysm Enginring (EE0T) Assignmn: PART-A (Tim Domain Analysis: Transin Rspons Analysis). Oain h rspons of a uniy fdack sysm whos opn-loop ransfr funcion is (s) s ( s 4) for a uni sp inpu and also

More information

Decline Curves. Exponential decline (constant fractional decline) Harmonic decline, and Hyperbolic decline.

Decline Curves. Exponential decline (constant fractional decline) Harmonic decline, and Hyperbolic decline. Dlin Curvs Dlin Curvs ha lo flow ra vs. im ar h mos ommon ools for forasing roduion and monioring wll rforman in h fild. Ths urvs uikly show by grahi mans whih wlls or filds ar roduing as xd or undr roduing.

More information

Effects of ion motion on linear Landau damping

Effects of ion motion on linear Landau damping Effcs of ion moion on linar Landau damping Hui Xu 1**, Zhng-Ming Shng 2,3,4, Xiang-Mu Kong 1, Fu-Fang Su 1 1 Shandong Provincial Ky Laboraory of Lasr Polarizaion and Informaion Tchnology, Dparmn of Physics,

More information

Nikesh Bajaj. Fourier Analysis and Synthesis Tool. Guess.? Question??? History. Fourier Series. Fourier. Nikesh Bajaj

Nikesh Bajaj. Fourier Analysis and Synthesis Tool. Guess.? Question??? History. Fourier Series. Fourier. Nikesh Bajaj Guss.? ourir Analysis an Synhsis Tool Qusion??? niksh.473@lpu.co.in Digial Signal Procssing School of Elcronics an Communicaion Lovly Profssional Univrsiy Wha o you man by Transform? Wha is /Transform?

More information

CHAPTER. Linear Systems of Differential Equations. 6.1 Theory of Linear DE Systems. ! Nullcline Sketching. Equilibrium (unstable) at (0, 0)

CHAPTER. Linear Systems of Differential Equations. 6.1 Theory of Linear DE Systems. ! Nullcline Sketching. Equilibrium (unstable) at (0, 0) CHATER 6 inar Sysms of Diffrnial Equaions 6 Thory of inar DE Sysms! ullclin Skching = y = y y υ -nullclin Equilibrium (unsabl) a (, ) h nullclin y = υ nullclin = h-nullclin (S figur) = + y y = y Equilibrium

More information

Final Exam : Solutions

Final Exam : Solutions Comp : Algorihm and Daa Srucur Final Exam : Soluion. Rcuriv Algorihm. (a) To bgin ind h mdian o {x, x,... x n }. Sinc vry numbr xcp on in h inrval [0, n] appar xacly onc in h li, w hav ha h mdian mu b

More information

Lecture 26: Leapers and Creepers

Lecture 26: Leapers and Creepers Lcur 6: Lapr and Crpr Scrib: Grain Jon (and Marin Z. Bazan) Dparmn of Economic, MIT May, 005 Inroducion Thi lcur conidr h analyi of h non-parabl CTRW in which h diribuion of p iz and im bwn p ar dpndn.

More information

10. The Discrete-Time Fourier Transform (DTFT)

10. The Discrete-Time Fourier Transform (DTFT) Th Discrt-Tim Fourir Transform (DTFT Dfinition of th discrt-tim Fourir transform Th Fourir rprsntation of signals plays an important rol in both continuous and discrt signal procssing In this sction w

More information

EEO 401 Digital Signal Processing Prof. Mark Fowler

EEO 401 Digital Signal Processing Prof. Mark Fowler EEO 401 Digital Signal Procssing Prof. Mark Fowlr Dtails of th ot St #19 Rading Assignmnt: Sct. 7.1.2, 7.1.3, & 7.2 of Proakis & Manolakis Dfinition of th So Givn signal data points x[n] for n = 0,, -1

More information

Economics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 3/28/2012. UW Madison

Economics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 3/28/2012. UW Madison Economics 302 (Sc. 001) Inrmdia Macroconomic Thory and Policy (Spring 2011) 3/28/2012 Insrucor: Prof. Mnzi Chinn Insrucor: Prof. Mnzi Chinn UW Madison 16 1 Consumpion Th Vry Forsighd dconsumr A vry forsighd

More information

Bifurcation Theory. , a stationary point, depends on the value of α. At certain values

Bifurcation Theory. , a stationary point, depends on the value of α. At certain values Dnamic Macroconomic Thor Prof. Thomas Lux Bifurcation Thor Bifurcation: qualitativ chang in th natur of th solution occurs if a paramtr passs through a critical point bifurcation or branch valu. Local

More information

DE Dr. M. Sakalli

DE Dr. M. Sakalli DE-0 Dr. M. Sakalli DE 55 M. Sakalli a n n 0 a Lh.: an Linar g Equaions Hr if g 0 homognous non-homognous ohrwis driving b a forc. You know h quaions blow alrad. A linar firs ordr ODE has h gnral form

More information

Review Lecture 5. The source-free R-C/R-L circuit Step response of an RC/RL circuit. The time constant = RC The final capacitor voltage v( )

Review Lecture 5. The source-free R-C/R-L circuit Step response of an RC/RL circuit. The time constant = RC The final capacitor voltage v( ) Rviw Lcur 5 Firs-ordr circui Th sourc-fr R-C/R-L circui Sp rspons of an RC/RL circui v( ) v( ) [ v( 0) v( )] 0 Th i consan = RC Th final capacior volag v() Th iniial capacior volag v( 0 ) Volag/currn-division

More information

Part I: Short Answer [50 points] For each of the following, give a short answer (2-3 sentences, or a formula). [5 points each]

Part I: Short Answer [50 points] For each of the following, give a short answer (2-3 sentences, or a formula). [5 points each] Soluions o Midrm Exam Nam: Paricl Physics Fall 0 Ocobr 6 0 Par I: Shor Answr [50 poins] For ach of h following giv a shor answr (- snncs or a formula) [5 poins ach] Explain qualiaivly (a) how w acclra

More information

Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall. Chapr Rviw 0 6. ( a a ln a. This will qual a if an onl if ln a, or a. + k an (ln + c. Thrfor, a an valu of, whr h wo curvs inrsc, h wo angn lins will b prpnicular. 6. (a Sinc h lin passs hrough h origin

More information

Ma/CS 6a Class 15: Flows and Bipartite Graphs

Ma/CS 6a Class 15: Flows and Bipartite Graphs //206 Ma/CS 6a Cla : Flow and Bipari Graph By Adam Shffr Rmindr: Flow Nwork A flow nwork i a digraph G = V, E, oghr wih a ourc vrx V, a ink vrx V, and a capaciy funcion c: E N. Capaciy Sourc 7 a b c d

More information

Chap.3 Laplace Transform

Chap.3 Laplace Transform Chap. aplac Tranorm Tranorm: An opraion ha ranorm a uncion ino anohr uncion i Dirniaion ranorm: ii x: d dx x x Ingraion ranorm: x: x dx x c Now, conidr a dind ingral k, d,ha ranorm ino a uncion o variabl

More information

A Condition for Stability in an SIR Age Structured Disease Model with Decreasing Survival Rate

A Condition for Stability in an SIR Age Structured Disease Model with Decreasing Survival Rate A Condiion for abiliy in an I Ag rucurd Disas Modl wih Dcrasing urvival a A.K. upriana, Edy owono Dparmn of Mahmaics, Univrsias Padjadjaran, km Bandung-umng 45363, Indonsia fax: 6--7794696, mail: asupria@yahoo.com.au;

More information

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

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

More information

Lecture 4: Laplace Transforms

Lecture 4: Laplace Transforms Lur 4: Lapla Transforms Lapla and rlad ransformaions an b usd o solv diffrnial quaion and o rdu priodi nois in signals and imags. Basially, hy onvr h drivaiv opraions ino mulipliaion, diffrnial quaions

More information

The Optimal Timing of Transition to New Environmental Technology in Economic Growth

The Optimal Timing of Transition to New Environmental Technology in Economic Growth h Opimal iming of ransiion o Nw Environmnal chnology in Economic Growh h IAEE Europan Confrnc 7- Spmbr, 29 Vinna, Ausria Akira AEDA and akiko NAGAYA yoo Univrsiy Background: Growh and h Environmn Naural

More information

Math 3301 Homework Set 6 Solutions 10 Points. = +. The guess for the particular P ( ) ( ) ( ) ( ) ( ) ( ) ( ) cos 2 t : 4D= 2

Math 3301 Homework Set 6 Solutions 10 Points. = +. The guess for the particular P ( ) ( ) ( ) ( ) ( ) ( ) ( ) cos 2 t : 4D= 2 Mah 0 Homwork S 6 Soluions 0 oins. ( ps) I ll lav i o you o vrify ha y os sin = +. Th guss for h pariular soluion and is drivaivs is blow. Noi ha w ndd o add s ono h las wo rms sin hos ar xaly h omplimnary

More information

k (but not necessarily much larger).

k (but not necessarily much larger). Dolgopolov Sanislav dolgopolov-s@lis.ru Russian Fdraion Sank-rsburg Inracion bwn lcrons as wav packs and suprconduciviy In h work h suprconduciviy is plaind using h rprsnaion of valnc lcrons as packs of

More information

EE 529 Remote Sensing Techniques. Review

EE 529 Remote Sensing Techniques. Review 59 Rmo Snsing Tchniqus Rviw Oulin Annna array Annna paramrs RCS Polariaion Signals CFT DFT Array Annna Shor Dipol l λ r, R[ r ω ] r H φ ηk Ilsin 4πr η µ - Prmiiviy ε - Prmabiliy

More information

22/ Breakdown of the Born-Oppenheimer approximation. Selection rules for rotational-vibrational transitions. P, R branches.

22/ Breakdown of the Born-Oppenheimer approximation. Selection rules for rotational-vibrational transitions. P, R branches. Subjct Chmistry Papr No and Titl Modul No and Titl Modul Tag 8/ Physical Spctroscopy / Brakdown of th Born-Oppnhimr approximation. Slction ruls for rotational-vibrational transitions. P, R branchs. CHE_P8_M

More information

Lecture 37 (Schrödinger Equation) Physics Spring 2018 Douglas Fields

Lecture 37 (Schrödinger Equation) Physics Spring 2018 Douglas Fields Lctur 37 (Schrödingr Equation) Physics 6-01 Spring 018 Douglas Filds Rducd Mass OK, so th Bohr modl of th atom givs nrgy lvls: E n 1 k m n 4 But, this has on problm it was dvlopd assuming th acclration

More information

3(8 ) (8 x x ) 3x x (8 )

3(8 ) (8 x x ) 3x x (8 ) Scion - CHATER -. a d.. b. d.86 c d 8 d d.9997 f g 6. d. d. Thn, = ln. =. =.. d Thn, = ln.9 =.7 8 -. a d.6 6 6 6 6 8 8 8 b 9 d 6 6 6 8 c d.8 6 6 6 6 8 8 7 7 d 6 d.6 6 6 6 6 6 6 8 u u u u du.9 6 6 6 6 6

More information

MEM 355 Performance Enhancement of Dynamical Systems A First Control Problem - Cruise Control

MEM 355 Performance Enhancement of Dynamical Systems A First Control Problem - Cruise Control MEM 355 Prformanc Enhancmn of Dynamical Sysms A Firs Conrol Problm - Cruis Conrol Harry G. Kwany Darmn of Mchanical Enginring & Mchanics Drxl Univrsiy Cruis Conrol ( ) mv = F mg sinθ cv v +.2v= u 9.8θ

More information

Mundell-Fleming I: Setup

Mundell-Fleming I: Setup Mundll-Flming I: Sup In ISLM, w had: E ( ) T I( i π G T C Y ) To his, w now add n xpors, which is a funcion of h xchang ra: ε E P* P ( T ) I( i π ) G T NX ( ) C Y Whr NX is assumd (Marshall Lrnr condiion)

More information

EE 350 Signals and Systems Spring 2005 Sample Exam #2 - Solutions

EE 350 Signals and Systems Spring 2005 Sample Exam #2 - Solutions EE 35 Signals an Sysms Spring 5 Sampl Exam # - Soluions. For h following signal x( cos( sin(3 - cos(5 - T, /T x( j j 3 j 3 j j 5 j 5 j a -, a a -, a a - ½, a 3 /j-j -j/, a -3 -/jj j/, a 5 -½, a -5 -½,

More information

Feedback Control and Synchronization of Chaos for the Coupled Dynamos Dynamical System *

Feedback Control and Synchronization of Chaos for the Coupled Dynamos Dynamical System * ISSN 746-7659 England UK Jornal of Informaion and Comping Scinc Vol. No. 6 pp. 9- Fdbac Conrol and Snchroniaion of Chaos for h Copld Dnamos Dnamical Ssm * Xdi Wang Liin Tian Shmin Jiang Liqin Y Nonlinar

More information

FIRST-ORDER SYSTEMS OF ORDINARY DIFFERENTIAL EQUATIONS I: Introduction and Linear Systems

FIRST-ORDER SYSTEMS OF ORDINARY DIFFERENTIAL EQUATIONS I: Introduction and Linear Systems FIRST-ORDER SYSTEMS OF ORDINARY DIFFERENTIAL EQUATIONS I: Inroducion and Linar Sysms David Lvrmor Dparmn of Mahmaics Univrsiy of Maryland 9 Dcmbr 0 Bcaus h prsnaion of his marial in lcur will diffr from

More information

cycle that does not cross any edges (including its own), then it has at least

cycle that does not cross any edges (including its own), then it has at least W prov th following thorm: Thorm If a K n is drawn in th plan in such a way that it has a hamiltonian cycl that dos not cross any dgs (including its own, thn it has at last n ( 4 48 π + O(n crossings Th

More information

General Article Application of differential equation in L-R and C-R circuit analysis by classical method. Abstract

General Article Application of differential equation in L-R and C-R circuit analysis by classical method. Abstract Applicaion of Diffrnial... Gnral Aricl Applicaion of diffrnial uaion in - and C- circui analysis by classical mhod. ajndra Prasad gmi curr, Dparmn of Mahmaics, P.N. Campus, Pokhara Email: rajndraprasadrgmi@yahoo.com

More information

SOLUTIONS. 1. Consider two continuous random variables X and Y with joint p.d.f. f ( x, y ) = = = 15. Stepanov Dalpiaz

SOLUTIONS. 1. Consider two continuous random variables X and Y with joint p.d.f. f ( x, y ) = = = 15. Stepanov Dalpiaz STAT UIUC Pracic Problms #7 SOLUTIONS Spanov Dalpiaz Th following ar a numbr of pracic problms ha ma b hlpful for compling h homwor, and will lil b vr usful for suding for ams.. Considr wo coninuous random

More information

Chemistry 988 Part 1

Chemistry 988 Part 1 Chmisry 988 Par 1 Radiaion Dcion & Masurmn Dp. of Chmisry --- Michigan Sa Univ. aional Suprconducing Cycloron Lab DJMorrissy Spring/2oo9 Cours informaion can b found on h wbsi: hp://www.chmisry.msu.du/courss/cm988uclar/indx.hml

More information

symmetric/hermitian matrices, and similarity transformations

symmetric/hermitian matrices, and similarity transformations Linar lgbra for Wirlss Communicaions Lcur: 6 Diffrnial quaions, Grschgorin's s circl horm, symmric/hrmiian marics, and similariy ransformaions Ov Edfors Dparmn of Elcrical and Informaion Tchnology Lund

More information

Hydrogen Atom and One Electron Ions

Hydrogen Atom and One Electron Ions Hydrogn Atom and On Elctron Ions Th Schrödingr quation for this two-body problm starts out th sam as th gnral two-body Schrödingr quation. First w sparat out th motion of th cntr of mass. Th intrnal potntial

More information

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 )

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 ) AR() Procss Th firs-ordr auorgrssiv procss, AR() is whr is WN(0, σ ) Condiional Man and Varianc of AR() Condiional man: Condiional varianc: ) ( ) ( Ω Ω E E ) var( ) ) ( var( ) var( σ Ω Ω Ω Ω E Auocovarianc

More information

4. Which of the following organs develops first?

4. Which of the following organs develops first? Biology 4. Which of h following organs dvlops firs? (A) Livr (C) Kidny (B) Har (D) Noochord 12. During mbryonic priod, animals rpa mbryonic sags of hir ancsors. This law is calld (A) Flokin s law (B) Biognic

More information