EE102 Homework 5 and 6 Solutions
|
|
- Alice Booth
- 5 years ago
- Views:
Transcription
1 EE2 Prof. S. Boyd EE2 Homework 5 and 6 Soluions 35. The verical dynamics of a vehicle suspension sysem, when he vehicle is driving on level ground, are given by (m v + m l )d () + bd () + kd() =. Here is ime (in seconds) d() is he verical displacemen of he vehicle, wih respec o is neural posiion (in meers) m v = 3 kg is he vehicle mass m l (also given in kg) is he mass of he vehicle load (passengers, cargo, ec.) b = N/m/s is he suspension damping k = 5 N/m is he suspension siffness The iniial condiions are d() =.m, d () = m/s. Wha is he smalles load mass m l for which d is oscillaory? (By oscillaory, we mean ha d() passes hrough zero infiniely many imes.) Soluion. Le m = m v + m l. Then, aking he Laplace ransform of he given differenial equaion, we obain ms 2 D(s) msd () md() + bsd(s) bd() + kd(s) = The above equaion can be rewrien as D(s) = msd () + (m + b)d() ms 2 + bs + k The sysem will exhibi oscillaory behavior when he roos of he characerisic polynomial ms 2 + bs + k are complex. The roos are given by he soluion of he quadraic equaion, i.e., λ = b ± b 2 4mk 2m Therefore, he roos will be complex when b 2 4mk <. We can rewrie his condiion as m > b2 4k = 2 Finally, since m = m v + m l and m v =, we obain ha m l > 2 for d o become oscillaory. 4. Four funcions f, f 2, f 3, and f 4, are shown below. Their Laplace ransforms are F, F 2, F 3, and F 4, respecively. You can assume F,..., F 4 are raional funcions, wih no more han hree poles (couning mulipliciies). Please noe carefully he verical scales hey are no he same!
2 2 2 f() f2() f3() PSfrag replacemens f4() Esimae he poles of F,..., F 4, using he smalles number needed o give a reasonable mach. If you can ge a reasonable mach wih one pole, hen give jus one pole; if wo poles suffice hen give jus wo. Give hree poles only if hree poles are required o mach he given f i. We wan specific numbers, no jus qualiaive answers such as one posiive real, one complex pair or σ + jω (wihou specifying σ or ω). Make clear indicaions on he plos how you go he numbers. Give complex poles separaely, as in + j, j ; we will no auomaically supply conjugaes of complex numbers. Give muliple poles by repeaing hem in your answers, e.g., 3,, (meaning, one pole a s = 3, and anoher pole of mulipliciy wo a s = ). Soluion: (a) From he graph of f, we see ha here is no sinusoidal ringing, and somehing like only one exponenial decay owards a nonzero value, 2. Therefore, we have only 2 real poles: one corresponding o he decaying erm and one corresponding o he consan erm. The cosnan erm corresponds o a pole a s =. The exponenially decaying erm sars wih ampliude ( 2) = 3, and i reaches 37% of he ampliude in approximaely sec. Therefore, ha pole is a. So he poles are:,. (b) From he plo of f 2, we noe ha he waveform exhibis some sinusoidal ringing, and he ampliude of he ringing is approximaely consan, neiher growing nor decaying. This 2
3 suggess a complex pole pair along he imaginary axis. Furhermore, when we draw a line down he middle of he oscillaions we find ha here is also a real, exponenially decaying erm wih a negaive coefficien. So, he hird pole is real and negaive. Le s find approximae numerical values for he poles. We see around 9.5 periods of he signal in 6 ime unis, so he oscillaion frequency is roughly ω 2π 6/9.5. So we have he poles ±j. As for he hird pole, we see ha i decays o 37% of he ampliude in approximaely sec. Therefore, he hird pole is a. The poles are: j, j,. (c) From he plo of f 3, we see a sinusoidal ringing wih an exponenially growing ampliude, which suggess a complex pole pair in he righ half plane. The oscillaion frequency of he ringing is he same as in f 2, i.e., ω =. A ime zero, he ampliude of he ringing is abou.5. A 4 seconds, he ampliude is, say,. or.2. Thus we have e σ4 =.2, so σ log(.2/.5)/4.2 or so. Therefore, he poles are.2 ± j. Drawing a line down he middle of he oscillaion indicaes ha here is also a consan offse of, which corresponds o a pole a s =. The poles are:.2 + j,.2 j,. (d) In he las plo, we see no sinusoidal ringing; We see only one exponenial growh (muliplied by negaive coefficien). A ime zero, f 4 () is abou 2; a ime equals 6, f 4 () is abou 2. So, he growh rae is approximaely log( 2/ 2)/6.3. So, he pole is a Reducing he rise-ime of a signal. In a cerain digial sysem a volage signal should ideally swich from V o 5V infiniely fas, i.e., wih zero rise-ime. Bu due o he finie bandwidh of he elecronics ha generaes he signal, i has he form ( ) v in () = 5 e /T for where T = µsec. Thus, he signal has a rise-ime around a few µsec. An engineer claims ha he circui shown below can be used o reduce he rise-ime of he signal, provided he componen values R and C are chosen correcly. Specifically, he engineer claims ha by choosing R and C correcly, we can have ( ) v ou () = a e /T for where a is some nonzero consan. Thus, he rise-ime of v ou is a facor of smaller han he rise-ime of v in, i.e., a few hundred nsec. C PSfrag replacemens v in () R kω v ou () 3
4 Here is he problem: deermine wheher he engineer s claim is rue or false. If he claim is rue, find specific, numerical values of R and C ha validae he claim. If he claim is false, briefly explain why he engineer s idea will no work. (You can assume he circui sars in he relaxed sae, i.e., no charge on he capacior. And no, you canno use negaive R or C.) Soluion: Firs we ll find he relaionship beween v in () and v ou (). V ou = V in + R sc = V in ( + src) ( + R) + src Now le s assume ha he engineer s claim is rue, i.e., for some value of R and C we have v ou () = a( e /T ). Then: V ou (s) = a s ( a 5 s + = 6 s 5 s + 6 Simplifying, we ge 7 ( ) ( ) a 5 6 s + /RC s + 7 = s + 6 s + +R. RC We need o choose R and C o make his equaliy hold. ) s + /RC s + +R RC Bu how can his be? The lef hand side has only one pole, while he righ hand side has wo... The only way his can happen is if he zero on he righ hand side, a s = /RC, cancels he pole a 6, i.e., we ake /RC = 6. This yields 7 a s + 7 = 5 6 s + +R. 3 Now we wan he remaining pole o be a s = 7, so we have ( + R)/( 3 ) = 7. This yields R = 9kΩ, so C = pf. So we see he engineer s claim is rue. Noe ha a =.5V. Thus we see one disadvanage of his circui he rise-ime is en imes faser bu he signal level has been cu by a facor of! Le s also menion anoher mehod of solving his problem. Once we have V ou and V in, we divide o find ou wha he ransfer funcion mus be o make he claim rue. Then we simply see wheher we can choose he parameers R and C o make he ransfer funcion of our circui equal o he one we require, i.e., V ou /V in. (Of course you ge he same answer.) 56. The op plo below shows he sep response of a sysem described by a ransfer funcion. Below ha is a plo of an inpu u() ha we apply o his sysem. Skech he response (oupu) y(). 4
5 .5 s() (nsec).5 PSfrag replacemens u() (nsec) Soluion: Perhaps he easies way o solve his problem is o differeniae he sep response o ge he impulse response, hen convolve he impulse response wih he inpu o find he oupu. The impulse response is zero excep beween = nsec and = 2nsec, where i has he value 9 (noe he ime axis; if you jus ingore he unis everyhing works ou OK anyway!). Thus he oupu a ime is jus he inegral of he inpu beween 2 and 3 nanoseconds ago, muliplied by 9. I is zero unil = ; hen i ramps up quadraically (since we are inegraing a ramp) unil = 2. Beween = 2 and = 3 we inegrae par of a ramp and par of he consan ; his yields anoher quadraic. The maximum value is achieved righ a = 3, when we inegrae he consan, so he oupu is. In he nex wo nanoseconds he same hing happens, backwards in ime. The final soluion is shown below: 5
6 .5 oupu y If you don ge ha fluffy derivaion, or simply mus see formulas o believe, here is anoher derivaion. The sep response evidenly has he form s() = 2 2 where is in nanonseconds. Differeniae o ge he sep response h: h() = 2 2 The inpu u has he form: Hence he oupu y is jus: u() = y() = h( τ)u(τ) dτ = 2 u(τ) dτ. The oupu will have 5 separae segmens, i.e., differen formulas, depending on. We ll jus work ou an ineresing case, and le you check he ohers. We ll find y() for 2 3. From our formula above, y() = u(τ) dτ = τ dτ + dτ = 2 ( ( 2)2 ) which corresponds o he quadraic ha sars a value /2 for = 2 and ends up a value (and slope zero) a =. 6
7 You could also work his problem using Laplace ransforms, bu i s no a prey sigh. The ransfer funcion is H(s) = e s e 2s s and he Laplace ransform of u is Thus we have U(s) = e s e 2s + e 3s s 2. Y (s) = H(s)U(s) = e s e 2s s e s e 2s + e 3s s 2 = e s 2e 2s + 2e 4s e 5s s 3 which you will insanly recognize as he Laplace ransform of our soluion shown in he plo. 65. The circui below is a simple one-pole lowpass filer. C R kω PSfrag replacemens v ou () v in () Find (posiive) R and C such ha: The (magniude of he) DC gain is +2dB. The magniude of he ransfer funcion a he frequency khz is 3dB less han he magniude of he DC gain. You can assume he op-amp is ideal. Give numerical values for R and C. An acurracy of % will suffice. Soluion. Firs, le s find he ransfer funcion from v in o v ou. You could use sandard circui analysis, bu by now you should jus recognize his circui as an invering amplifier and know ha he ransfer funcion is given by H(s) = V ou(s) V in (s) = R sc kω = R/kΩ + src 7
8 This circui has only one pole, a s = /RC. The DC gain is found by seing s = : H() = R/kΩ. (You can also see his by looking a he circui wih he capacior removed.) We are given ha he (magniude of he) DC gain is +2dB, which is roughly 4 (6dB + 6dB; each is a facor of around 2). Thus, H() = R/kΩ = 4, so we mus have R = 4kΩ. (Noe ha he DC gain is acually negaive, i.e., H() = 4.) The gain is 3dB less a khz, which means ha we have a pole a s = khz = 2π. Since he pole is a s = /RC, we have: C = 4kΩ 2π = 4nF. 68. A simple wo-way crossover circui. A ypical high-fideliy speaker has separae drivers for low and high frequencies. (The driver is he physical device ha vibraes o creae he sound you hear. The old erms for he low and high frequency drivers are woofer and weeer, respecively.) The circui shown below, called a speaker crossover nework, is used o divide he audio signal coming from he amplifier ino a low frequency par for he low frequency driver (LFD) and a high frequency par for he high frequency driver (HFD). Since he audio specrum is divided ino wo pars, his is called a wo-way sysem (hree-way are also common). The amplifier is modeled as a volage source (which is a very good model), and he low and high frequency drivers are modeled as 8Ω resisances (which is no a good model of real drivers, bu we will use i for his problem). PSfrag replacemens C L v amp () Z speaker 8Ω HFD 8Ω LFD speaker The crossover nework is designed so ha he ransfer funcion from he amplifier o each driver has magniude 3dB a a frequency ω c called he crossover frequency of he speaker. (a) Choose C and L so ha he crossover frequency is 2kHz. Do his carefully as you will need your answers in par b. (b) Using he values for L and C found in 8a and 8b, find Z speaker (s), he impedance of he wo-way speaker seen by he amplifier (as indicaed in he schemaic). 8
9 Soluion: We can separae he analysis for he high frequency driver (HFD) and low frequency driver (LFD) since he wo circuis are driven in parallel by a volage source. Noice he HFD is jus a simple RC high-pass filer and LFD is jus a simple RL low-pass filer! For he HFD, we have he ransfer funcion: V HFD V amp = sc = 8sC + 8sC Noe ha crossover frequency is he frequency a which he ransfer funcion is 3dB, i.e., i is he (absolue value of he) pole locaion. Wih he crossover frequency a 2kHz, we have So C = 9.95µF. 8C = (2π)(2) Similarly, for he LFD we have he ransfer funcion: V LFD V amp = Wih he crossover frequency a 2kHz, we have So L =.64mH sl = + s L 8 8 L = (2π)(2) Le s denoe he resisance of he HFD and LFD as R. Now since he poles of he HFD and he LFD have already been designed o be 2kHz, we have RC = L/R. Therefore, Z speaker (s) = (R + sc )(R + sl) R + sc + R + sl = (R + R2 sl )(R + sl) = R. 2R + R2 sl + sl So we see ha Z speaker (s) is consan i is simply 8Ω, independen of frequency. To he amplifier, he speaker looks like a simple resisance of 8Ω. In pracice, real drivers do no have consan 8Ω impedance, and also, 2 and 3 pole crossover neworks are more common han he simple pole nework described in his problem. Bu he idea is he same. 72. The uni sep response s() of a sysem described by a ransfer funcion H, which has hree poles, is shown in he wo plos below. The wo plos have differen ranges; he second plo allows you o see deails for small. 9
10 .5 s() s() PSfrag replacemens (a) Esimae he poles. An accuracy of ±2% is accepable. (b) A high frequencies H(jω) becomes small. From he daa given, can you deermine he rae a which i decreases for large frequency (e.g., 2 db/ocave)? Eiher give he rae (in db/ocave) or sae canno deermine if he daa given is no sufficien o deermine he high-frequency rolloff rae. Soluion: We sar by esimaing he sep response. We should see evidence of he hree poles of he ransfer funcion H, along wih a pole a s = (i.e., a consan) associaed wih he sep inpu. There is a sinusoidal erm ha does no decay or grow, wih an ampliude of abou.. The frequency of his erm is easy o ell: wo cycles fi in.sec so he frequency is 4πrad/sec. Thus here are wo poles a s = ±j4π 26rad/sec. Drawing a line hrough he average value of his oscillaion we see ha somehing like e 4 remains. This corresponds o a pole a s = (which comes from he sep inpu) and s = 4. Thus he poles of H mus be abou 4, ± j26. There are several ways o find he rae a which H(jω) decreases for large ω. Perhaps he easies way is o remember he connecion beween he behavior of he sep response for small and he rolloff rae of he frequency response. The sep response has an iniial nonzero slope, so H mus have one more pole han zero, i.e., wo zeros. This means ha he rolloff rae is 6dB/ocave. We can also find he rae by direcly esimaing he ransfer funcion H from he sep response plo. The sep response has he (approximae) form s() e 4 + cos(26 + φ). We can figure ou he phase of he sinusoid by examining he lower plo, and noing ha s() cos(φ). This suggess ha he sep response is s() e 4 + sin(26).
11 (Acually his mehod is exremely prone o approximaion error.) I s Laplace ransform is herefore S(s) s s s = 5s2 + 4s s(s + 4)(s ). Therefore H(s) = ss(s) 5s2 + 4s (s + 4)(s ) which has hree poles and wo zeros. Hence for large ω, he frequency response rolls off a 6dB/ocave. 74. Transfer funcion from rainfall o river heigh. The heigh of a cerain river depends on he pas rainfall in he region. Specifically, le u() denoe he rainfall rae, in inches-per-hour, in a region a ime, and le y() denoe he river heigh, in fee, above a reference (dry period) level, a ime. The ime is measured in hours; we ll only consider. Analysis of pas daa shows ha he relaion beween rainfall and river heigh can be accuraely described by a ransfer funcion: Y (s) = H(s)U(s), H(s) = (3s + )(3s + ) (You don need o know any hydrology o do his problem, bu you migh be ineresed in he physical basis of his wo-pole ransfer funcion. The fas pole is due o runoff from surface waer and small ribuaries, which conribue a relaively small amoun of waer relaively quickly. The slow pole is due o flow from larger ribuaries and deeper ground waer, which conribue more waer ino he river, over a much longer ime scale.) A brief bu inense downpour. (Pars a and b.) Suppose ha afer a long dry spell (i.e., no rain) i rains inensely a 2 inches-per-hour, for 5 minues. This causes he river heigh o rise for a while, and hen laer recede. (a) How long does i ake, afer he beginning of he brief downpour, for he river o reach is maximum heigh? We ll denoe his delay as max (in hours). (b) Wha is he maximum heigh of he river? We ll denoe his maximum heigh as y max (in fee). Noe: you can make a reasonable approximaion provided you say wha you are doing. A coninual rain. (Pars c and d.) Suppose ha afer a long dry spell i sars raining coninuously a a rae of inch-per-hour (and doesn sop). This causes he river heigh o rise. (c) Wha is he ulimae heigh of he river, i.e., y ul = lim y()? (d) A flood occurs when he river heigh y() reaches 8 fee. How long will i ake, afer he onse of he seady rain, o reach flood condiion? We ll denoe his ime as flood. If he river never reaches 8 fee, give your answer as never. Noe: you can make a reasonable approximaion provided you say wha you are doing. Soluion:
12 (a) Firs, we noice ha he ime duraion of he downpour (5 min) is small in comparison o he ime consans of he poles (3 hours and 3 hours). Hence we can reasonably approximae he inense downpour as an impulse funcion. The area under he rainfall u() is (2 inches/hour)(/2 hour), i.e., (inch). So u() δ(), and consequenly he river heigh y is (approximaely) given by he impulse response of he ransfer funcion. (If you model he downpour more accuraely as a sep funcion which urns on a = and off and = /2, he mahemaic ges much more involved, and he final answer is nearly he same.) Thus Y (s) = H(s), so we use a parial fracion expansion: Y (s) = (3s + )(3s + ) =.37 s + / s + /3 The inverse ransform is hen y() =.37(e /3 e /3 ). This is a good poin a which o do a reasonableness check. This y() sars a, rises for a while, hen decays which does seem very reasonable! We find he maximum of y() by seing he derivaive o zero:.37( 3 e /3 + 3 e /3 ) = which can be solved o yield = Thus he river heigh peaks max = 7.7 hours laer. This answer seems reasonable; he river peaks abou a double he fas pole s ime consan. (b) The maximum heigh of he river is found by subsiuing = hours ino our expression for y() found above. We find y max =.257 fee = 3.9 inches. Again, his seems o correlae well wih our inuiive feeling for a river s behavior. A brief downpour occurs, and he river rises 3 inches abou 7 hours laer. (c) The coninual rain is jus a uni sep funcion, so he river heigh is jus he sep response of he ransfer funcion: Y (s) = (3s + )(3s + ) s = s + /9 s + /3 /9 s + /3 Hence y() = + 9 e /3 9 e /3. From inspecion, we see ha as, y fee! Anoher way o solve his problem, which is probably easier, is o noice ha we need o find he limi of he sep response, which is jus he DC gain of he ransfer funcion. Plugging in s = yields, again, he answer y ul =. (d) The flood level is 8 fee, less han he final heigh of fee we solved for in par (c). So we do reach flood condiion; i s jus a quesion of when. Using our expression for y found above, he flood occurs for wih 8 = + 9 e /3 9 e /3. In fac, i is no so easy o solve his equaion! Now is a very good ime for a simple approximaion, as our noe suggess. Noe ha he erm 9 e /3 decays quickly, wihin 2
13 say hours, afer which he river heigh will be approximaely given by 9 e /3. Thus we can find an approximae soluion by solving 8 = 9 e /3 which yields = 5.4 hours. (Noe ha our assumpion ha he firs erm is small is cerainly correc when = 5.4 hours; e 5.4/3 is quie small!) Hence we predic disaser crews have abou 2 days o prepare for flooding afer a big sorm his! (Provided he rain coninues a inch/hour.) 3
( ) ( ) if t = t. It must satisfy the identity. So, bulkiness of the unit impulse (hyper)function is equal to 1. The defining characteristic is
UNIT IMPULSE RESPONSE, UNIT STEP RESPONSE, STABILITY. Uni impulse funcion (Dirac dela funcion, dela funcion) rigorously defined is no sricly a funcion, bu disribuion (or measure), precise reamen requires
More informationd 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3
and d = c b - b c c d = c b - b c c This process is coninued unil he nh row has been compleed. The complee array of coefficiens is riangular. Noe ha in developing he array an enire row may be divided or
More informationSome Basic Information about M-S-D Systems
Some Basic Informaion abou M-S-D Sysems 1 Inroducion We wan o give some summary of he facs concerning unforced (homogeneous) and forced (non-homogeneous) models for linear oscillaors governed by second-order,
More informationDesigning Information Devices and Systems I Spring 2019 Lecture Notes Note 17
EES 16A Designing Informaion Devices and Sysems I Spring 019 Lecure Noes Noe 17 17.1 apaciive ouchscreen In he las noe, we saw ha a capacior consiss of wo pieces on conducive maerial separaed by a nonconducive
More informationPhys1112: DC and RC circuits
Name: Group Members: Dae: TA s Name: Phys1112: DC and RC circuis Objecives: 1. To undersand curren and volage characerisics of a DC RC discharging circui. 2. To undersand he effec of he RC ime consan.
More informationINDEX. Transient analysis 1 Initial Conditions 1
INDEX Secion Page Transien analysis 1 Iniial Condiions 1 Please inform me of your opinion of he relaive emphasis of he review maerial by simply making commens on his page and sending i o me a: Frank Mera
More informationPredator - Prey Model Trajectories and the nonlinear conservation law
Predaor - Prey Model Trajecories and he nonlinear conservaion law James K. Peerson Deparmen of Biological Sciences and Deparmen of Mahemaical Sciences Clemson Universiy Ocober 28, 213 Ouline Drawing Trajecories
More informationMath 333 Problem Set #2 Solution 14 February 2003
Mah 333 Problem Se #2 Soluion 14 February 2003 A1. Solve he iniial value problem dy dx = x2 + e 3x ; 2y 4 y(0) = 1. Soluion: This is separable; we wrie 2y 4 dy = x 2 + e x dx and inegrae o ge The iniial
More informationSOLUTIONS TO ECE 3084
SOLUTIONS TO ECE 384 PROBLEM 2.. For each sysem below, specify wheher or no i is: (i) memoryless; (ii) causal; (iii) inverible; (iv) linear; (v) ime invarian; Explain your reasoning. If he propery is no
More informationLab 10: RC, RL, and RLC Circuits
Lab 10: RC, RL, and RLC Circuis In his experimen, we will invesigae he behavior of circuis conaining combinaions of resisors, capaciors, and inducors. We will sudy he way volages and currens change in
More informationLAPLACE TRANSFORM AND TRANSFER FUNCTION
CHBE320 LECTURE V LAPLACE TRANSFORM AND TRANSFER FUNCTION Professor Dae Ryook Yang Spring 2018 Dep. of Chemical and Biological Engineering 5-1 Road Map of he Lecure V Laplace Transform and Transfer funcions
More informationKINEMATICS IN ONE DIMENSION
KINEMATICS IN ONE DIMENSION PREVIEW Kinemaics is he sudy of how hings move how far (disance and displacemen), how fas (speed and velociy), and how fas ha how fas changes (acceleraion). We say ha an objec
More informationR.#W.#Erickson# Department#of#Electrical,#Computer,#and#Energy#Engineering# University#of#Colorado,#Boulder#
.#W.#Erickson# Deparmen#of#Elecrical,#Compuer,#and#Energy#Engineering# Universiy#of#Colorado,#Boulder# Chaper 2 Principles of Seady-Sae Converer Analysis 2.1. Inroducion 2.2. Inducor vol-second balance,
More informationMath 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities:
Mah 4 Eam Review Problems Problem. Calculae he 3rd Taylor polynomial for arcsin a =. Soluion. Le f() = arcsin. For his problem, we use he formula f() + f () + f ()! + f () 3! for he 3rd Taylor polynomial
More informationBasic Circuit Elements Professor J R Lucas November 2001
Basic Circui Elemens - J ucas An elecrical circui is an inerconnecion of circui elemens. These circui elemens can be caegorised ino wo ypes, namely acive and passive elemens. Some Definiions/explanaions
More informationVoltage/current relationship Stored Energy. RL / RC circuits Steady State / Transient response Natural / Step response
Review Capaciors/Inducors Volage/curren relaionship Sored Energy s Order Circuis RL / RC circuis Seady Sae / Transien response Naural / Sep response EE4 Summer 5: Lecure 5 Insrucor: Ocavian Florescu Lecure
More informationRC, RL and RLC circuits
Name Dae Time o Complee h m Parner Course/ Secion / Grade RC, RL and RLC circuis Inroducion In his experimen we will invesigae he behavior of circuis conaining combinaions of resisors, capaciors, and inducors.
More informationLabQuest 24. Capacitors
Capaciors LabQues 24 The charge q on a capacior s plae is proporional o he poenial difference V across he capacior. We express his wih q V = C where C is a proporionaliy consan known as he capaciance.
More informationDifferential Equations
Mah 21 (Fall 29) Differenial Equaions Soluion #3 1. Find he paricular soluion of he following differenial equaion by variaion of parameer (a) y + y = csc (b) 2 y + y y = ln, > Soluion: (a) The corresponding
More informationEE100 Lab 3 Experiment Guide: RC Circuits
I. Inroducion EE100 Lab 3 Experimen Guide: A. apaciors A capacior is a passive elecronic componen ha sores energy in he form of an elecrosaic field. The uni of capaciance is he farad (coulomb/vol). Pracical
More informationCHAPTER 12 DIRECT CURRENT CIRCUITS
CHAPTER 12 DIRECT CURRENT CIUITS DIRECT CURRENT CIUITS 257 12.1 RESISTORS IN SERIES AND IN PARALLEL When wo resisors are conneced ogeher as shown in Figure 12.1 we said ha hey are conneced in series. As
More informationEXERCISES FOR SECTION 1.5
1.5 Exisence and Uniqueness of Soluions 43 20. 1 v c 21. 1 v c 1 2 4 6 8 10 1 2 2 4 6 8 10 Graph of approximae soluion obained using Euler s mehod wih = 0.1. Graph of approximae soluion obained using Euler
More informationReading from Young & Freedman: For this topic, read sections 25.4 & 25.5, the introduction to chapter 26 and sections 26.1 to 26.2 & 26.4.
PHY1 Elecriciy Topic 7 (Lecures 1 & 11) Elecric Circuis n his opic, we will cover: 1) Elecromoive Force (EMF) ) Series and parallel resisor combinaions 3) Kirchhoff s rules for circuis 4) Time dependence
More informationES 250 Practice Final Exam
ES 50 Pracice Final Exam. Given ha v 8 V, a Deermine he values of v o : 0 Ω, v o. V 0 Firs, v o 8. V 0 + 0 Nex, 8 40 40 0 40 0 400 400 ib i 0 40 + 40 + 40 40 40 + + ( ) 480 + 5 + 40 + 8 400 400( 0) 000
More informationGuest Lectures for Dr. MacFarlane s EE3350 Part Deux
Gues Lecures for Dr. MacFarlane s EE3350 Par Deux Michael Plane Mon., 08-30-2010 Wrie name in corner. Poin ou his is a review, so I will go faser. Remind hem o go lisen o online lecure abou geing an A
More information3.6 Derivatives as Rates of Change
3.6 Derivaives as Raes of Change Problem 1 John is walking along a sraigh pah. His posiion a he ime >0 is given by s = f(). He sars a =0from his house (f(0) = 0) and he graph of f is given below. (a) Describe
More informationContinuous Time. Time-Domain System Analysis. Impulse Response. Impulse Response. Impulse Response. Impulse Response. ( t) + b 0.
Time-Domain Sysem Analysis Coninuous Time. J. Robers - All Righs Reserved. Edied by Dr. Rober Akl 1. J. Robers - All Righs Reserved. Edied by Dr. Rober Akl 2 Le a sysem be described by a 2 y ( ) + a 1
More informationdt = C exp (3 ln t 4 ). t 4 W = C exp ( ln(4 t) 3) = C(4 t) 3.
Mah Rahman Exam Review Soluions () Consider he IVP: ( 4)y 3y + 4y = ; y(3) = 0, y (3) =. (a) Please deermine he longes inerval for which he IVP is guaraneed o have a unique soluion. Soluion: The disconinuiies
More informationEECE 301 Signals & Systems Prof. Mark Fowler
EECE 3 Signals & Sysems Prof. Mark Fowler Noe Se #2 Wha are Coninuous-Time Signals??? Reading Assignmen: Secion. of Kamen and Heck /22 Course Flow Diagram The arrows here show concepual flow beween ideas.
More informationLaplace transfom: t-translation rule , Haynes Miller and Jeremy Orloff
Laplace ransfom: -ranslaion rule 8.03, Haynes Miller and Jeremy Orloff Inroducory example Consider he sysem ẋ + 3x = f(, where f is he inpu and x he response. We know is uni impulse response is 0 for
More informationNotes 04 largely plagiarized by %khc
Noes 04 largely plagiarized by %khc Convoluion Recap Some ricks: x() () =x() x() (, 0 )=x(, 0 ) R ț x() u() = x( )d x() () =ẋ() This hen ells us ha an inegraor has impulse response h() =u(), and ha a differeniaor
More informationSub Module 2.6. Measurement of transient temperature
Mechanical Measuremens Prof. S.P.Venkaeshan Sub Module 2.6 Measuremen of ransien emperaure Many processes of engineering relevance involve variaions wih respec o ime. The sysem properies like emperaure,
More informationA First Course on Kinetics and Reaction Engineering. Class 19 on Unit 18
A Firs ourse on Kineics and Reacion Engineering lass 19 on Uni 18 Par I - hemical Reacions Par II - hemical Reacion Kineics Where We re Going Par III - hemical Reacion Engineering A. Ideal Reacors B. Perfecly
More information2.4 Cuk converter example
2.4 Cuk converer example C 1 Cuk converer, wih ideal swich i 1 i v 1 2 1 2 C 2 v 2 Cuk converer: pracical realizaion using MOSFET and diode C 1 i 1 i v 1 2 Q 1 D 1 C 2 v 2 28 Analysis sraegy This converer
More information2.7. Some common engineering functions. Introduction. Prerequisites. Learning Outcomes
Some common engineering funcions 2.7 Inroducion This secion provides a caalogue of some common funcions ofen used in Science and Engineering. These include polynomials, raional funcions, he modulus funcion
More informationTwo Coupled Oscillators / Normal Modes
Lecure 3 Phys 3750 Two Coupled Oscillaors / Normal Modes Overview and Moivaion: Today we ake a small, bu significan, sep owards wave moion. We will no ye observe waves, bu his sep is imporan in is own
More information10. State Space Methods
. Sae Space Mehods. Inroducion Sae space modelling was briefly inroduced in chaper. Here more coverage is provided of sae space mehods before some of heir uses in conrol sysem design are covered in he
More informatione 2t u(t) e 2t u(t) =?
EE : Signals, Sysems, and Transforms Fall 7. Skech he convoluion of he following wo signals. Tes No noes, closed book. f() Show your work. Simplify your answers. g(). Using he convoluion inegral, find
More informationChapter 7 Response of First-order RL and RC Circuits
Chaper 7 Response of Firs-order RL and RC Circuis 7.- The Naural Response of RL and RC Circuis 7.3 The Sep Response of RL and RC Circuis 7.4 A General Soluion for Sep and Naural Responses 7.5 Sequenial
More informationElectrical Circuits. 1. Circuit Laws. Tools Used in Lab 13 Series Circuits Damped Vibrations: Energy Van der Pol Circuit
V() R L C 513 Elecrical Circuis Tools Used in Lab 13 Series Circuis Damped Vibraions: Energy Van der Pol Circui A series circui wih an inducor, resisor, and capacior can be represened by Lq + Rq + 1, a
More informationHomework-8(1) P8.3-1, 3, 8, 10, 17, 21, 24, 28,29 P8.4-1, 2, 5
Homework-8() P8.3-, 3, 8, 0, 7, 2, 24, 28,29 P8.4-, 2, 5 Secion 8.3: The Response of a Firs Order Circui o a Consan Inpu P 8.3- The circui shown in Figure P 8.3- is a seady sae before he swich closes a
More information15. Vector Valued Functions
1. Vecor Valued Funcions Up o his poin, we have presened vecors wih consan componens, for example, 1, and,,4. However, we can allow he componens of a vecor o be funcions of a common variable. For example,
More informationu(x) = e x 2 y + 2 ) Integrate and solve for x (1 + x)y + y = cos x Answer: Divide both sides by 1 + x and solve for y. y = x y + cos x
. 1 Mah 211 Homework #3 February 2, 2001 2.4.3. y + (2/x)y = (cos x)/x 2 Answer: Compare y + (2/x) y = (cos x)/x 2 wih y = a(x)x + f(x)and noe ha a(x) = 2/x. Consequenly, an inegraing facor is found wih
More information( ) = Q 0. ( ) R = R dq. ( t) = I t
ircuis onceps The addiion of a simple capacior o a circui of resisors allows wo relaed phenomena o occur The observaion ha he ime-dependence of a complex waveform is alered by he circui is referred o as
More informationEECE 301 Signals & Systems Prof. Mark Fowler
EECE 3 Signals & Sysems Prof. Mark Fowler Noe Se # Wha are Coninuous-Time Signals??? /6 Coninuous-Time Signal Coninuous Time (C-T) Signal: A C-T signal is defined on he coninuum of ime values. Tha is:
More informationCHAPTER 2 Signals And Spectra
CHAPER Signals And Specra Properies of Signals and Noise In communicaion sysems he received waveform is usually caegorized ino he desired par conaining he informaion, and he undesired par. he desired par
More informationSolutions from Chapter 9.1 and 9.2
Soluions from Chaper 9 and 92 Secion 9 Problem # This basically boils down o an exercise in he chain rule from calculus We are looking for soluions of he form: u( x) = f( k x c) where k x R 3 and k is
More informationFITTING EQUATIONS TO DATA
TANTON S TAKE ON FITTING EQUATIONS TO DATA CURRICULUM TIDBITS FOR THE MATHEMATICS CLASSROOM MAY 013 Sandard algebra courses have sudens fi linear and eponenial funcions o wo daa poins, and quadraic funcions
More informationChapter 7: Solving Trig Equations
Haberman MTH Secion I: The Trigonomeric Funcions Chaper 7: Solving Trig Equaions Le s sar by solving a couple of equaions ha involve he sine funcion EXAMPLE a: Solve he equaion sin( ) The inverse funcions
More informationLinear Time-invariant systems, Convolution, and Cross-correlation
Linear Time-invarian sysems, Convoluion, and Cross-correlaion (1) Linear Time-invarian (LTI) sysem A sysem akes in an inpu funcion and reurns an oupu funcion. x() T y() Inpu Sysem Oupu y() = T[x()] An
More informationnon-linear oscillators
non-linear oscillaors The invering comparaor operaion can be summarized as When he inpu is low, he oupu is high. When he inpu is high, he oupu is low. R b V REF R a and are given by he expressions derived
More information23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes
Represening Periodic Funcions by Fourier Series 3. Inroducion In his Secion we show how a periodic funcion can be expressed as a series of sines and cosines. We begin by obaining some sandard inegrals
More information8. Basic RL and RC Circuits
8. Basic L and C Circuis This chaper deals wih he soluions of he responses of L and C circuis The analysis of C and L circuis leads o a linear differenial equaion This chaper covers he following opics
More informationWEEK-3 Recitation PHYS 131. of the projectile s velocity remains constant throughout the motion, since the acceleration a x
WEEK-3 Reciaion PHYS 131 Ch. 3: FOC 1, 3, 4, 6, 14. Problems 9, 37, 41 & 71 and Ch. 4: FOC 1, 3, 5, 8. Problems 3, 5 & 16. Feb 8, 018 Ch. 3: FOC 1, 3, 4, 6, 14. 1. (a) The horizonal componen of he projecile
More informationTopic Astable Circuits. Recall that an astable circuit has two unstable states;
Topic 2.2. Asable Circuis. Learning Objecives: A he end o his opic you will be able o; Recall ha an asable circui has wo unsable saes; Explain he operaion o a circui based on a Schmi inverer, and esimae
More informationModule 4: Time Response of discrete time systems Lecture Note 2
Module 4: Time Response of discree ime sysems Lecure Noe 2 1 Prooype second order sysem The sudy of a second order sysem is imporan because many higher order sysem can be approimaed by a second order model
More informationDEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING EXAMINATIONS 2008
[E5] IMPERIAL COLLEGE LONDON DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING EXAMINATIONS 008 EEE/ISE PART II MEng BEng and ACGI SIGNALS AND LINEAR SYSTEMS Time allowed: :00 hours There are FOUR quesions
More informationSimulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010
Simulaion-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Week Descripion Reading Maerial 2 Compuer Simulaion of Dynamic Models Finie Difference, coninuous saes, discree ime Simple Mehods Euler Trapezoid
More informationLinear Response Theory: The connection between QFT and experiments
Phys540.nb 39 3 Linear Response Theory: The connecion beween QFT and experimens 3.1. Basic conceps and ideas Q: How do we measure he conduciviy of a meal? A: we firs inroduce a weak elecric field E, and
More informationChapter 8 The Complete Response of RL and RC Circuits
Chaper 8 The Complee Response of RL and RC Circuis Seoul Naional Universiy Deparmen of Elecrical and Compuer Engineering Wha is Firs Order Circuis? Circuis ha conain only one inducor or only one capacior
More informationSection 3.8, Mechanical and Electrical Vibrations
Secion 3.8, Mechanical and Elecrical Vibraions Mechanical Unis in he U.S. Cusomary and Meric Sysems Disance Mass Time Force g (Earh) Uni U.S. Cusomary MKS Sysem CGS Sysem fee f slugs seconds sec pounds
More informationChapter 2: Principles of steady-state converter analysis
Chaper 2 Principles of Seady-Sae Converer Analysis 2.1. Inroducion 2.2. Inducor vol-second balance, capacior charge balance, and he small ripple approximaion 2.3. Boos converer example 2.4. Cuk converer
More informationDisplacement ( x) x x x
Kinemaics Kinemaics is he branch of mechanics ha describes he moion of objecs wihou necessarily discussing wha causes he moion. 1-Dimensional Kinemaics (or 1- Dimensional moion) refers o moion in a sraigh
More information6.003 Homework #9 Solutions
6.003 Homework #9 Soluions Problems. Fourier varieies a. Deermine he Fourier series coefficiens of he following signal, which is periodic in 0. x () 0 3 0 a 0 5 a k a k 0 πk j3 e 0 e j πk 0 jπk πk e 0
More informationLecture 13 RC/RL Circuits, Time Dependent Op Amp Circuits
Lecure 13 RC/RL Circuis, Time Dependen Op Amp Circuis RL Circuis The seps involved in solving simple circuis conaining dc sources, resisances, and one energy-sorage elemen (inducance or capaciance) are:
More informationEECE251. Circuit Analysis I. Set 4: Capacitors, Inductors, and First-Order Linear Circuits
EEE25 ircui Analysis I Se 4: apaciors, Inducors, and Firs-Order inear ircuis Shahriar Mirabbasi Deparmen of Elecrical and ompuer Engineering Universiy of Briish olumbia shahriar@ece.ubc.ca Overview Passive
More informationUNIVERSITY OF CALIFORNIA AT BERKELEY
Homework #10 Soluions EECS 40, Fall 2006 Prof. Chang-Hasnain Due a 6 pm in 240 Cory on Wednesday, 04/18/07 oal Poins: 100 Pu (1) your name and (2) discussion secion number on your homework. You need o
More information6.003 Homework #9 Solutions
6.00 Homework #9 Soluions Problems. Fourier varieies a. Deermine he Fourier series coefficiens of he following signal, which is periodic in 0. x () 0 0 a 0 5 a k sin πk 5 sin πk 5 πk for k 0 a k 0 πk j
More informationVehicle Arrival Models : Headway
Chaper 12 Vehicle Arrival Models : Headway 12.1 Inroducion Modelling arrival of vehicle a secion of road is an imporan sep in raffic flow modelling. I has imporan applicaion in raffic flow simulaion where
More informationSolutions to Assignment 1
MA 2326 Differenial Equaions Insrucor: Peronela Radu Friday, February 8, 203 Soluions o Assignmen. Find he general soluions of he following ODEs: (a) 2 x = an x Soluion: I is a separable equaion as we
More informationLecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still.
Lecure - Kinemaics in One Dimension Displacemen, Velociy and Acceleraion Everyhing in he world is moving. Nohing says sill. Moion occurs a all scales of he universe, saring from he moion of elecrons in
More informationChallenge Problems. DIS 203 and 210. March 6, (e 2) k. k(k + 2). k=1. f(x) = k(k + 2) = 1 x k
Challenge Problems DIS 03 and 0 March 6, 05 Choose one of he following problems, and work on i in your group. Your goal is o convince me ha your answer is correc. Even if your answer isn compleely correc,
More informationLaplace Transform and its Relation to Fourier Transform
Chaper 6 Laplace Transform and is Relaion o Fourier Transform (A Brief Summary) Gis of he Maer 2 Domains of Represenaion Represenaion of signals and sysems Time Domain Coninuous Discree Time Time () [n]
More informationV L. DT s D T s t. Figure 1: Buck-boost converter: inductor current i(t) in the continuous conduction mode.
ECE 445 Analysis and Design of Power Elecronic Circuis Problem Se 7 Soluions Problem PS7.1 Erickson, Problem 5.1 Soluion (a) Firs, recall he operaion of he buck-boos converer in he coninuous conducion
More informationClass Meeting # 10: Introduction to the Wave Equation
MATH 8.5 COURSE NOTES - CLASS MEETING # 0 8.5 Inroducion o PDEs, Fall 0 Professor: Jared Speck Class Meeing # 0: Inroducion o he Wave Equaion. Wha is he wave equaion? The sandard wave equaion for a funcion
More informationδ (τ )dτ denotes the unit step function, and
ECE-202 Homework Problems (Se 1) Spring 18 TO THE STUDENT: ALWAYS CHECK THE ERRATA on he web. ANCIENT ASIAN/AFRICAN/NATIVE AMERICAN/SOUTH AMERICAN ETC. PROVERB: If you give someone a fish, you give hem
More informationModule 2 F c i k c s la l w a s o s f dif di fusi s o i n
Module Fick s laws of diffusion Fick s laws of diffusion and hin film soluion Adolf Fick (1855) proposed: d J α d d d J (mole/m s) flu (m /s) diffusion coefficien and (mole/m 3 ) concenraion of ions, aoms
More informationdy dx = xey (a) y(0) = 2 (b) y(1) = 2.5 SOLUTION: See next page
Assignmen 1 MATH 2270 SOLUTION Please wrie ou complee soluions for each of he following 6 problems (one more will sill be added). You may, of course, consul wih your classmaes, he exbook or oher resources,
More informationi L = VT L (16.34) 918a i D v OUT i L v C V - S 1 FIGURE A switched power supply circuit with diode and a switch.
16.4.3 A SWITHED POWER SUPPY USINGA DIODE In his example, we will analyze he behavior of he diodebased swiched power supply circui shown in Figure 16.15. Noice ha his circui is similar o ha in Figure 12.41,
More information5.1 - Logarithms and Their Properties
Chaper 5 Logarihmic Funcions 5.1 - Logarihms and Their Properies Suppose ha a populaion grows according o he formula P 10, where P is he colony size a ime, in hours. When will he populaion be 2500? We
More informationSection 7.4 Modeling Changing Amplitude and Midline
488 Chaper 7 Secion 7.4 Modeling Changing Ampliude and Midline While sinusoidal funcions can model a variey of behaviors, i is ofen necessary o combine sinusoidal funcions wih linear and exponenial curves
More information( ) a system of differential equations with continuous parametrization ( T = R + These look like, respectively:
XIII. DIFFERENCE AND DIFFERENTIAL EQUATIONS Ofen funcions, or a sysem of funcion, are paramerized in erms of some variable, usually denoed as and inerpreed as ime. The variable is wrien as a funcion of
More informationChapter 2. First Order Scalar Equations
Chaper. Firs Order Scalar Equaions We sar our sudy of differenial equaions in he same way he pioneers in his field did. We show paricular echniques o solve paricular ypes of firs order differenial equaions.
More informationBrock University Physics 1P21/1P91 Fall 2013 Dr. D Agostino. Solutions for Tutorial 3: Chapter 2, Motion in One Dimension
Brock Uniersiy Physics 1P21/1P91 Fall 2013 Dr. D Agosino Soluions for Tuorial 3: Chaper 2, Moion in One Dimension The goals of his uorial are: undersand posiion-ime graphs, elociy-ime graphs, and heir
More information6.2 Transforms of Derivatives and Integrals.
SEC. 6.2 Transforms of Derivaives and Inegrals. ODEs 2 3 33 39 23. Change of scale. If l( f ()) F(s) and c is any 33 45 APPLICATION OF s-shifting posiive consan, show ha l( f (c)) F(s>c)>c (Hin: In Probs.
More informationEECS 2602 Winter Laboratory 3 Fourier series, Fourier transform and Bode Plots in MATLAB
EECS 6 Winer 7 Laboraory 3 Fourier series, Fourier ransform and Bode Plos in MATLAB Inroducion: The objecives of his lab are o use MATLAB:. To plo periodic signals wih Fourier series represenaion. To obain
More informationDiebold, Chapter 7. Francis X. Diebold, Elements of Forecasting, 4th Edition (Mason, Ohio: Cengage Learning, 2006). Chapter 7. Characterizing Cycles
Diebold, Chaper 7 Francis X. Diebold, Elemens of Forecasing, 4h Ediion (Mason, Ohio: Cengage Learning, 006). Chaper 7. Characerizing Cycles Afer compleing his reading you should be able o: Define covariance
More informationECE 2100 Circuit Analysis
ECE 1 Circui Analysis Lesson 37 Chaper 8: Second Order Circuis Discuss Exam Daniel M. Liynski, Ph.D. Exam CH 1-4: On Exam 1; Basis for work CH 5: Operaional Amplifiers CH 6: Capaciors and Inducor CH 7-8:
More informationEchocardiography Project and Finite Fourier Series
Echocardiography Projec and Finie Fourier Series 1 U M An echocardiagram is a plo of how a porion of he hear moves as he funcion of ime over he one or more hearbea cycles If he hearbea repeas iself every
More informationTraveling Waves. Chapter Introduction
Chaper 4 Traveling Waves 4.1 Inroducion To dae, we have considered oscillaions, i.e., periodic, ofen harmonic, variaions of a physical characerisic of a sysem. The sysem a one ime is indisinguishable from
More information04. Kinetics of a second order reaction
4. Kineics of a second order reacion Imporan conceps Reacion rae, reacion exen, reacion rae equaion, order of a reacion, firs-order reacions, second-order reacions, differenial and inegraed rae laws, Arrhenius
More information6.003 Homework #8 Solutions
6.003 Homework #8 Soluions Problems. Fourier Series Deermine he Fourier series coefficiens a k for x () shown below. x ()= x ( + 0) 0 a 0 = 0 a k = e /0 sin(/0) for k 0 a k = π x()e k d = 0 0 π e 0 k d
More informationNumerical Dispersion
eview of Linear Numerical Sabiliy Numerical Dispersion n he previous lecure, we considered he linear numerical sabiliy of boh advecion and diffusion erms when approimaed wih several spaial and emporal
More informationHamilton- J acobi Equation: Explicit Formulas In this lecture we try to apply the method of characteristics to the Hamilton-Jacobi equation: u t
M ah 5 2 7 Fall 2 0 0 9 L ecure 1 0 O c. 7, 2 0 0 9 Hamilon- J acobi Equaion: Explici Formulas In his lecure we ry o apply he mehod of characerisics o he Hamilon-Jacobi equaion: u + H D u, x = 0 in R n
More informationSection 3.5 Nonhomogeneous Equations; Method of Undetermined Coefficients
Secion 3.5 Nonhomogeneous Equaions; Mehod of Undeermined Coefficiens Key Terms/Ideas: Linear Differenial operaor Nonlinear operaor Second order homogeneous DE Second order nonhomogeneous DE Soluion o homogeneous
More information1. VELOCITY AND ACCELERATION
1. VELOCITY AND ACCELERATION 1.1 Kinemaics Equaions s = u + 1 a and s = v 1 a s = 1 (u + v) v = u + as 1. Displacemen-Time Graph Gradien = speed 1.3 Velociy-Time Graph Gradien = acceleraion Area under
More informationADDITIONAL PROBLEMS (a) Find the Fourier transform of the half-cosine pulse shown in Fig. 2.40(a). Additional Problems 91
ddiional Problems 9 n inverse relaionship exiss beween he ime-domain and freuency-domain descripions of a signal. Whenever an operaion is performed on he waveform of a signal in he ime domain, a corresponding
More information13.3 Term structure models
13.3 Term srucure models 13.3.1 Expecaions hypohesis model - Simples "model" a) shor rae b) expecaions o ge oher prices Resul: y () = 1 h +1 δ = φ( δ)+ε +1 f () = E (y +1) (1) =δ + φ( δ) f (3) = E (y +)
More informationMath 334 Fall 2011 Homework 11 Solutions
Dec. 2, 2 Mah 334 Fall 2 Homework Soluions Basic Problem. Transform he following iniial value problem ino an iniial value problem for a sysem: u + p()u + q() u g(), u() u, u () v. () Soluion. Le v u. Then
More informationMath 10B: Mock Mid II. April 13, 2016
Name: Soluions Mah 10B: Mock Mid II April 13, 016 1. ( poins) Sae, wih jusificaion, wheher he following saemens are rue or false. (a) If a 3 3 marix A saisfies A 3 A = 0, hen i canno be inverible. True.
More information