E c. i f. (c) The built-in potential between the collector and emitter is. 18 ae bicb

Size: px
Start display at page:

Download "E c. i f. (c) The built-in potential between the collector and emitter is. 18 ae bicb"

Transcription

1 haer 8 nergy and Dagram of T 8 a & b or he gven dong concenraons, one comues f - = -05 ev, 049 ev, and 099 ev n he emer, base and collecor, resecvely Also wh a >> d, he - deleon wdh wll le almos eclusvely n he base Lkewse, he majory of he - deleon wdh wll le n he collecor nergy and Dagram c f harge Densy c The bul-n oenal beween he collecor and emer s 8 kt a 50 V ln 006 ln 0 V 5 q a 0 d W W n n n n S q q d S d V b a n a 0m d V b 00m Therefore, W 878m 00 Pearson ducaon, nc, Uer Saddle Rver, All rghs reserved Ths ublcaon s roeced by oyrgh and wren ermsson should be obaned from recordng, or lkewse or nformaon regardng ermssons, wre o: Rghs and Permssons Dearmen, Pearson ducaon, nc, Uer Saddle Rver, 07458

2 e lecrc eld lecrc eld q q S d ma n S d ma n Vcm Vcm f nergy and Dagram c f harge Densy V haracerscs and urren Gan 8 rom q 84 and q 84, Subsung / no, we oban Solvng for yelds 00 Pearson ducaon, nc, Uer Saddle Rver, All rghs reserved Ths ublcaon s roeced by oyrgh and wren ermsson should be obaned from recordng, or lkewse or nformaon regardng ermssons, wre o: Rghs and Permssons Dearmen, Pearson ducaon, nc, Uer Saddle Rver, 07458

3 83 a + : mer f,n+ f, P: ase V s forward based and V s reverse based : ollecor f,n b P P MTTR AS OLLTOR The P,,P on he dagram refer o he mnory carrer ye n each regon The horzonal doed lnes refer o he equlbrum mnory concenraon e 0, n P0 The remanng doed curves corresond o he ecess mnory carrer concenraons Assumons made here: W & W are shorer han he dffuson lenghs of he holes & elecrons resecvely, resulng n a lnear decay of ecess mnory carrers n he emer and base You should also noce ha he scale for he y- as dffers for each regon c ase curren consss of njecon of holes no he emer and recombnaon wh a very small ar of he collecor curren remember ha ~ The collecor curren consss almos enrely of elecrons emed from he forwardbased juncon whch ravel across he juncon ncdenally, an easy way o remember how a T works s o assocae he names emer and collecor wh he hyscal emsson and collecon of he mnory elecrons n he base 00 Pearson ducaon, nc, Uer Saddle Rver, All rghs reserved Ths ublcaon s roeced by oyrgh and wren ermsson should be obaned from recordng, or lkewse or nformaon regardng ermssons, wre o: Rghs and Permssons Dearmen, Pearson ducaon, nc, Uer Saddle Rver, 07458

4 ' 84 n n0 and ' 0' n he base regon, dn qdn 0 n qd d n mer regon, d qd 0 qd d n 0 = 0 3 cm -3, 0 = 0 cm -3, and + = O = 0 5 cm -3 D = 08 cm s -, D =8 cm s -, and D =9 cm s - a 0 qd n 0 / 0666 A cm, n, / 4, ' 0' qd 0 / 36 0 A/ cm, and 0, 05 m qd O / 87 0 A/ cm Therefore, 4 TOTAL, 666A/ cm 36 0 A/ cm 0666A/ 0 cm and TOTAL, n or shor dode aromaon, we assume n - = n =0 More accurae relaonsh s n X - = T n =0 However, snce T, we can sll say n X - = n =0 Hence, TOTAL, 0666 A/ cm n, TOTAL, ' ' 0666 A/ 0 cm n, TOTAL, ' 0666 A/ 4,, 36 0 A/ cm cm 00 Pearson ducaon, nc, Uer Saddle Rver, All rghs reserved Ths ublcaon s roeced by oyrgh and wren ermsson should be obaned from recordng, or lkewse or nformaon regardng ermssons, wre o: Rghs and Permssons Dearmen, Pearson ducaon, nc, Uer Saddle Rver, 07458

5 n W L m b L 0m T n n T a To mrove he emer njecon effcency, and o reduce he back njeced carrers from - b Small means W L, ycally m c W would become a larger ercenage of W Therefore, would ncrease he sloe of ouu characerscs d A very small values of, he recombnaon curren ecessve base juncon curren n he - deleon regon becomes a less sgnfcan ar of as ncreases e A larger values of, due o he hgh level njecon n base, does no ncrease eonenally as does n he moderae level njecon regon 00 Pearson ducaon, nc, Uer Saddle Rver, All rghs reserved Ths ublcaon s roeced by oyrgh and wren ermsson should be obaned from recordng, or lkewse or nformaon regardng ermssons, wre o: Rghs and Permssons Dearmen, Pearson ducaon, nc, Uer Saddle Rver, 07458

6 0 - hgh level njecon n base, A 0-4 A cessve base juncon curren V f Regon V V Acve + - Sauraon + + uoff - - Schoky mer and ollecor 86 a As you wll fnd ou n he laer ar of hs roblem he njecon of majory carrer of he semconducor no he meal s much hgher han he njecon of mnory carrer no he semconducor regon from he meal Ths would make he emer effcency n he T very small! Hence, would no be desrable o use a meal as an emer n a T b We know ha he hole dffuson curren s gven by qva / kt DP n / qva kt dff dff 0 e qa e LP d rom Secon 47 and 48, qva / kt q / kt qva / kt e AKe e e e0 ong ha we have / D L P P D kt q P, 00 Pearson ducaon, nc, Uer Saddle Rver, All rghs reserved Ths ublcaon s roeced by oyrgh and wren ermsson should be obaned from recordng, or lkewse or nformaon regardng ermssons, wre o: Rghs and Permssons Dearmen, Pearson ducaon, nc, Uer Saddle Rver, 07458

7 dff e dff 0 e0 q kt / q Ke / kt n d / e / c A Schoky base-collecor juncon he collecor beng he meal would be funconal n a T The energy dagram of he base-collecor juncon would be smlar o g 4-34b would be effecve collecng he elecrons arrvng a hs juncon from he P ye base o he meal The feld a he Schoky juncon swees he elecrons no he meal collecor jus as n he P base-collecor juncon shown n g 8-b Gummel umber and Gummel Plo 87 a = / =00 b nerce of s 0-0 A/cm = qn Dn / W qn Dn cm 0 0 W c Peak concenraon qv n kt 7 e 0 qv kt 3 e 80 3 V ln8 0 6mV 83mV d n W D n sec bers-moll Model 88 a onsder ha n = n P0 e qva/kt - and = 0 e qva/kt - e, ake a look a he juncon, n / = / Smlarly, a he juncon, /n = / Mully and o ge / = 8/40/ = 0 Thus, = 0 = 0 7 cm Pearson ducaon, nc, Uer Saddle Rver, All rghs reserved Ths ublcaon s roeced by oyrgh and wren ermsson should be obaned from recordng, or lkewse or nformaon regardng ermssons, wre o: Rghs and Permssons Dearmen, Pearson ducaon, nc, Uer Saddle Rver, 07458

8 b The T s oerang n sauraon because boh and juncons are forward-based and he resulng mnory carrer concenraons are larger han he equlbrum values c The sored mnory charge s equal o he area under he curve n he base Aq 0 ' m ' mw coul d n n' m n' 0m ' m ' m Aq[ Dn D ] W W ma 0 9 ma DW 00 5 e 5 7 o much gan 4 D W f he P T s based a he boundary beween acve mode and sauraon mode, hen forward-based emer-base juncon V >0 and unbased collecor-base juncon V =0 So R =0 a A he gven oerang on, we can smlfy he bers-moll model as follows: qv / kt e S b Snce 0 qv S e kt V ln q S kt V V V 0 ln q S Drf-ase Transsors kt q ln S 80 a s ndeenden of changes n base arameers s deenden on base arameers You should convnce yourself ha hs s he case by referrng o 00 Pearson ducaon, nc, Uer Saddle Rver, All rghs reserved Ths ublcaon s roeced by oyrgh and wren ermsson should be obaned from recordng, or lkewse or nformaon regardng ermssons, wre o: Rghs and Permssons Dearmen, Pearson ducaon, nc, Uer Saddle Rver, 07458

9 he curren equaons n he reader f a SGe base s used, c ncreases as a resul of he base bandga narrowng ouled wh a graded base ha shorens base ransor me, SGe-base Ts are a smle and aracve alernave o convenonal S-base Ts * Ths soluon gnores he case of ncreased hole barrer beween base and emer f you wsh o nclude hs effec, hen SGe s ncreased by e g/kt over S b n hs case, n SGe vares along he base regon Ths requres ha we do an negraon o fnd c0 SGe qdn c0 SGe = W g, SGe e d 0 kt W qd n, / kt g SGe = W e / kt g, SGe Dvde c0 SGe by c0 S and you ge he followng: g, SGe / kt SGe/ S = = 4 e / kt g, SGe 8 a nd where d = a o oban he frs juncon e 40 e 077m To oban he second juncon, equae a o he background concenraon e 50 7 m Therefore, he base wdh s - = 05 m Please noe ha he deleon wdhs have been gnored n hs case n general, you mus subrac he deleon regon wdhs n he base n boh he juncons from he meallurgcal base wdh b ase Gummel umber: a d e cm 30 cm Pearson ducaon, nc, Uer Saddle Rver, All rghs reserved Ths ublcaon s roeced by oyrgh and wren ermsson should be obaned from recordng, or lkewse or nformaon regardng ermssons, wre o: Rghs and Permssons Dearmen, Pearson ducaon, nc, Uer Saddle Rver, 07458

10 rom q 8, he base Gummel number s he number above dvded by he elecron dffusvy n he base, whch we shall assume o be around 30 cm /s The resul s 40 0 s-cm -4 mer Gummel umber: 0 d e cm 060 cm d 006 rom q 83, he emer Gummel number s he number above dvded by he hole dffusvy n he base, whch we shall assume o be around cm /s The resul s 0 4 s-cm -4 c Snce he dong level s no consan, we use he average dong denses o esmae he dffusves Average base dong densy: 0 G W cm 460 cm Average emer dong densy: 9 G cm Average elecron dffusvy n he base: kt / q cm s 99cm s D' n n Average hole dffusvy n he emer: kt / q cm s 8cm s D' GD' G D' n d Dffuson curren: dff d D dn d ln n q qd D d n d d 00 Pearson ducaon, nc, Uer Saddle Rver, All rghs reserved Ths ublcaon s roeced by oyrgh and wren ermsson should be obaned from recordng, or lkewse or nformaon regardng ermssons, wre o: Rghs and Permssons Dearmen, Pearson ducaon, nc, Uer Saddle Rver, 07458

11 40 8 e /, 09m D drecon Drf curren: drf q q dff q D and D kt Therefore, k 006 V 5 b 360 V / m q 09 m oe: b should be - drecon so ha dffuson curren and drf curren wll balance q kt D c v f Krk ffec 8 ase - Orgnal ase Wdh + ollecor ollecor ffecve Deleon ase Wdh Layer, W de learly, W _ffecve = W _Orgnal + W -W de W _Orgnal and W are assumed o be known So, n order o fnd W _ffecve, we need o calculae W de 00 Pearson ducaon, nc, Uer Saddle Rver, All rghs reserved Ths ublcaon s roeced by oyrgh and wren ermsson should be obaned from recordng, or lkewse or nformaon regardng ermssons, wre o: Rghs and Permssons Dearmen, Pearson ducaon, nc, Uer Saddle Rver, 07458

12 sa v A q where v sa s he sauraon velocy The lengh of he deleon regon becomes sa s de q v A V W Therefore, sa s Orgnal ffecve q v A V W W W harge onrol Model 83 The equaon descrbng he sysem s d d Snce = 0 for <0 and = 0 for 0, he equaon becomes 0 d d wh he nal condon 0 = 0 Solvng hs equaon yelds e / 0 Hence, e / 0 / 84 e A d d / oundary ondons: A 0, Hence, = - 00 Pearson ducaon, nc, Uer Saddle Rver, All rghs reserved Ths ublcaon s roeced by oyrgh and wren ermsson should be obaned from recordng, or lkewse or nformaon regardng ermssons, wre o: Rghs and Permssons Dearmen, Pearson ducaon, nc, Uer Saddle Rver, 07458

13 Therefore, / e / e, 00, ns hracersc me T And, 0 ma for 0 /ns ma 9 ma e for 0, and 0mA T=s T = ns ma uoff requency 85 onsder he followng fgure: b c Sgnal Source r + v be - gmv be Load b and c are gven by v / nu medance v nu admance v / r b c be g m v be The gan s c b be g m / r j / g r j j d m / j j kt / q be d / g j m 00 Pearson ducaon, nc, Uer Saddle Rver, All rghs reserved Ths ublcaon s roeced by oyrgh and wren ermsson should be obaned from recordng, or lkewse or nformaon regardng ermssons, wre o: Rghs and Permssons Dearmen, Pearson ducaon, nc, Uer Saddle Rver, 07458

14 f >> so ha / becomes neglgble, he equaon above shows ha /, and becomes a f T d kt / q 00 Pearson ducaon, nc, Uer Saddle Rver, All rghs reserved Ths ublcaon s roeced by oyrgh and wren ermsson should be obaned from recordng, or lkewse or nformaon regardng ermssons, wre o: Rghs and Permssons Dearmen, Pearson ducaon, nc, Uer Saddle Rver, 07458

Solution in semi infinite diffusion couples (error function analysis)

Solution in semi infinite diffusion couples (error function analysis) Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of

More information

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5 TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres

More information

2/20/2013. EE 101 Midterm 2 Review

2/20/2013. EE 101 Midterm 2 Review //3 EE Mderm eew //3 Volage-mplfer Model The npu ressance s he equalen ressance see when lookng no he npu ermnals of he amplfer. o s he oupu ressance. I causes he oupu olage o decrease as he load ressance

More information

FI 3103 Quantum Physics

FI 3103 Quantum Physics /9/4 FI 33 Quanum Physcs Aleander A. Iskandar Physcs of Magnesm and Phooncs Research Grou Insu Teknolog Bandung Basc Conces n Quanum Physcs Probably and Eecaon Value Hesenberg Uncerany Prncle Wave Funcon

More information

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas)

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas) Lecure 8: The Lalace Transform (See Secons 88- and 47 n Boas) Recall ha our bg-cure goal s he analyss of he dfferenal equaon, ax bx cx F, where we emloy varous exansons for he drvng funcon F deendng on

More information

PHYS 705: Classical Mechanics. Canonical Transformation

PHYS 705: Classical Mechanics. Canonical Transformation PHYS 705: Classcal Mechancs Canoncal Transformaon Canoncal Varables and Hamlonan Formalsm As we have seen, n he Hamlonan Formulaon of Mechancs,, are ndeenden varables n hase sace on eual foong The Hamlon

More information

Water Hammer in Pipes

Water Hammer in Pipes Waer Haer Hydraulcs and Hydraulc Machnes Waer Haer n Pes H Pressure wave A B If waer s flowng along a long e and s suddenly brough o res by he closng of a valve, or by any slar cause, here wll be a sudden

More information

Advanced time-series analysis (University of Lund, Economic History Department)

Advanced time-series analysis (University of Lund, Economic History Department) Advanced me-seres analss (Unvers of Lund, Economc Hsor Dearmen) 3 Jan-3 Februar and 6-3 March Lecure 4 Economerc echnues for saonar seres : Unvarae sochasc models wh Box- Jenns mehodolog, smle forecasng

More information

First-order piecewise-linear dynamic circuits

First-order piecewise-linear dynamic circuits Frs-order pecewse-lnear dynamc crcus. Fndng he soluon We wll sudy rs-order dynamc crcus composed o a nonlnear resse one-por, ermnaed eher by a lnear capacor or a lnear nducor (see Fg.. Nonlnear resse one-por

More information

Endogeneity. Is the term given to the situation when one or more of the regressors in the model are correlated with the error term such that

Endogeneity. Is the term given to the situation when one or more of the regressors in the model are correlated with the error term such that s row Endogeney Is he erm gven o he suaon when one or more of he regressors n he model are correlaed wh he error erm such ha E( u 0 The 3 man causes of endogeney are: Measuremen error n he rgh hand sde

More information

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes. umercal negraon of he dffuson equaon (I) Fne dfference mehod. Spaal screaon. Inernal nodes. R L V For hermal conducon le s dscree he spaal doman no small fne spans, =,,: Balance of parcles for an nernal

More information

Power Electronics 7. Diode and Diode Circuits

Power Electronics 7. Diode and Diode Circuits Module 7 Dode and Dode Crcus. Inroducon 2. DC and swchng characerscs 3. Types of Power Dode 4. Dode Crcu 4.. Seres Conneced Dodes 4.2. Parallel Conneced Dodes 5. Dode behavor for dfferen loads 6. Freewheelng

More information

Linear Response Theory: The connection between QFT and experiments

Linear Response Theory: The connection between QFT and experiments Phys540.nb 39 3 Lnear Response Theory: The connecon beween QFT and expermens 3.1. Basc conceps and deas Q: ow do we measure he conducvy of a meal? A: we frs nroduce a weak elecrc feld E, and hen measure

More information

Notes on the stability of dynamic systems and the use of Eigen Values.

Notes on the stability of dynamic systems and the use of Eigen Values. Noes on he sabl of dnamc ssems and he use of Egen Values. Source: Macro II course noes, Dr. Davd Bessler s Tme Seres course noes, zarads (999) Ineremporal Macroeconomcs chaper 4 & Techncal ppend, and Hamlon

More information

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!) i+1,q - [(! ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal

More information

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current :

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current : . A. IUITS Synopss : GOWTH OF UNT IN IUIT : d. When swch S s closed a =; = d. A me, curren = e 3. The consan / has dmensons of me and s called he nducve me consan ( τ ) of he crcu. 4. = τ; =.63, n one

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm H ( q, p, ) = q p L( q, q, ) H p = q H q = p H = L Equvalen o Lagrangan formalsm Smpler, bu

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm Hqp (,,) = qp Lqq (,,) H p = q H q = p H L = Equvalen o Lagrangan formalsm Smpler, bu wce as

More information

Let s treat the problem of the response of a system to an applied external force. Again,

Let s treat the problem of the response of a system to an applied external force. Again, Page 33 QUANTUM LNEAR RESPONSE FUNCTON Le s rea he problem of he response of a sysem o an appled exernal force. Agan, H() H f () A H + V () Exernal agen acng on nernal varable Hamlonan for equlbrum sysem

More information

F-Tests and Analysis of Variance (ANOVA) in the Simple Linear Regression Model. 1. Introduction

F-Tests and Analysis of Variance (ANOVA) in the Simple Linear Regression Model. 1. Introduction ECOOMICS 35* -- OTE 9 ECO 35* -- OTE 9 F-Tess and Analyss of Varance (AOVA n he Smple Lnear Regresson Model Inroducon The smple lnear regresson model s gven by he followng populaon regresson equaon, or

More information

( ) () we define the interaction representation by the unitary transformation () = ()

( ) () we define the interaction representation by the unitary transformation () = () Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger

More information

Variants of Pegasos. December 11, 2009

Variants of Pegasos. December 11, 2009 Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on

More information

Response of MDOF systems

Response of MDOF systems Response of MDOF syses Degree of freedo DOF: he nu nuber of ndependen coordnaes requred o deerne copleely he posons of all pars of a syse a any nsan of e. wo DOF syses hree DOF syses he noral ode analyss

More information

Example: MOSFET Amplifier Distortion

Example: MOSFET Amplifier Distortion 4/25/2011 Example MSFET Amplfer Dsoron 1/9 Example: MSFET Amplfer Dsoron Recall hs crcu from a prevous handou: ( ) = I ( ) D D d 15.0 V RD = 5K v ( ) = V v ( ) D o v( ) - K = 2 0.25 ma/v V = 2.0 V 40V.

More information

Transcription: Messenger RNA, mrna, is produced and transported to Ribosomes

Transcription: Messenger RNA, mrna, is produced and transported to Ribosomes Quanave Cenral Dogma I Reference hp//book.bonumbers.org Inaon ranscrpon RNA polymerase and ranscrpon Facor (F) s bnds o promoer regon of DNA ranscrpon Meenger RNA, mrna, s produced and ranspored o Rbosomes

More information

Including the ordinary differential of distance with time as velocity makes a system of ordinary differential equations.

Including the ordinary differential of distance with time as velocity makes a system of ordinary differential equations. Soluons o Ordnary Derenal Equaons An ordnary derenal equaon has only one ndependen varable. A sysem o ordnary derenal equaons consss o several derenal equaons each wh he same ndependen varable. An eample

More information

PHYS 1443 Section 001 Lecture #4

PHYS 1443 Section 001 Lecture #4 PHYS 1443 Secon 001 Lecure #4 Monda, June 5, 006 Moon n Two Dmensons Moon under consan acceleraon Projecle Moon Mamum ranges and heghs Reerence Frames and relae moon Newon s Laws o Moon Force Newon s Law

More information

Chapters 2 Kinematics. Position, Distance, Displacement

Chapters 2 Kinematics. Position, Distance, Displacement Chapers Knemacs Poson, Dsance, Dsplacemen Mechancs: Knemacs and Dynamcs. Knemacs deals wh moon, bu s no concerned wh he cause o moon. Dynamcs deals wh he relaonshp beween orce and moon. The word dsplacemen

More information

Lecture 2 M/G/1 queues. M/G/1-queue

Lecture 2 M/G/1 queues. M/G/1-queue Lecure M/G/ queues M/G/-queue Posson arrval process Arbrary servce me dsrbuon Sngle server To deermne he sae of he sysem a me, we mus now The number of cusomers n he sysems N() Tme ha he cusomer currenly

More information

. The geometric multiplicity is dim[ker( λi. number of linearly independent eigenvectors associated with this eigenvalue.

. The geometric multiplicity is dim[ker( λi. number of linearly independent eigenvectors associated with this eigenvalue. Lnear Algebra Lecure # Noes We connue wh he dscusson of egenvalues, egenvecors, and dagonalzably of marces We wan o know, n parcular wha condons wll assure ha a marx can be dagonalzed and wha he obsrucons

More information

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,

More information

. The geometric multiplicity is dim[ker( λi. A )], i.e. the number of linearly independent eigenvectors associated with this eigenvalue.

. The geometric multiplicity is dim[ker( λi. A )], i.e. the number of linearly independent eigenvectors associated with this eigenvalue. Mah E-b Lecure #0 Noes We connue wh he dscusson of egenvalues, egenvecors, and dagonalzably of marces We wan o know, n parcular wha condons wll assure ha a marx can be dagonalzed and wha he obsrucons are

More information

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany Herarchcal Markov Normal Mxure models wh Applcaons o Fnancal Asse Reurns Appendx: Proofs of Theorems and Condonal Poseror Dsrbuons John Geweke a and Gann Amsano b a Deparmens of Economcs and Sascs, Unversy

More information

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class

More information

THERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2)

THERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2) Company LOGO THERMODYNAMICS The Frs Law and Oher Basc Conceps (par ) Deparmen of Chemcal Engneerng, Semarang Sae Unversy Dhon Harano S.T., M.T., M.Sc. Have you ever cooked? Equlbrum Equlbrum (con.) Equlbrum

More information

Scattering at an Interface: Oblique Incidence

Scattering at an Interface: Oblique Incidence Course Insrucor Dr. Raymond C. Rumpf Offce: A 337 Phone: (915) 747 6958 E Mal: rcrumpf@uep.edu EE 4347 Appled Elecromagnecs Topc 3g Scaerng a an Inerface: Oblque Incdence Scaerng These Oblque noes may

More information

Graduate Macroeconomics 2 Problem set 5. - Solutions

Graduate Macroeconomics 2 Problem set 5. - Solutions Graduae Macroeconomcs 2 Problem se. - Soluons Queson 1 To answer hs queson we need he frms frs order condons and he equaon ha deermnes he number of frms n equlbrum. The frms frs order condons are: F K

More information

NPTEL Project. Econometric Modelling. Module23: Granger Causality Test. Lecture35: Granger Causality Test. Vinod Gupta School of Management

NPTEL Project. Econometric Modelling. Module23: Granger Causality Test. Lecture35: Granger Causality Test. Vinod Gupta School of Management P age NPTEL Proec Economerc Modellng Vnod Gua School of Managemen Module23: Granger Causaly Tes Lecure35: Granger Causaly Tes Rudra P. Pradhan Vnod Gua School of Managemen Indan Insue of Technology Kharagur,

More information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4 CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped

More information

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim Korean J. Mah. 19 (2011), No. 3, pp. 263 272 GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS Youngwoo Ahn and Kae Km Absrac. In he paper [1], an explc correspondence beween ceran

More information

Volatility Interpolation

Volatility Interpolation Volaly Inerpolaon Prelmnary Verson March 00 Jesper Andreasen and Bran Huge Danse Mares, Copenhagen wan.daddy@danseban.com brno@danseban.com Elecronc copy avalable a: hp://ssrn.com/absrac=69497 Inro Local

More information

Chapter 6: AC Circuits

Chapter 6: AC Circuits Chaper 6: AC Crcus Chaper 6: Oulne Phasors and he AC Seady Sae AC Crcus A sable, lnear crcu operang n he seady sae wh snusodal excaon (.e., snusodal seady sae. Complee response forced response naural response.

More information

Comb Filters. Comb Filters

Comb Filters. Comb Filters The smple flers dscussed so far are characered eher by a sngle passband and/or a sngle sopband There are applcaons where flers wh mulple passbands and sopbands are requred Thecomb fler s an example of

More information

On One Analytic Method of. Constructing Program Controls

On One Analytic Method of. Constructing Program Controls Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna

More information

Displacement, Velocity, and Acceleration. (WHERE and WHEN?)

Displacement, Velocity, and Acceleration. (WHERE and WHEN?) Dsplacemen, Velocy, and Acceleraon (WHERE and WHEN?) Mah resources Append A n your book! Symbols and meanng Algebra Geomery (olumes, ec.) Trgonomery Append A Logarhms Remnder You wll do well n hs class

More information

EP2200 Queuing theory and teletraffic systems. 3rd lecture Markov chains Birth-death process - Poisson process. Viktoria Fodor KTH EES

EP2200 Queuing theory and teletraffic systems. 3rd lecture Markov chains Birth-death process - Poisson process. Viktoria Fodor KTH EES EP Queung heory and eleraffc sysems 3rd lecure Marov chans Brh-deah rocess - Posson rocess Vora Fodor KTH EES Oulne for oday Marov rocesses Connuous-me Marov-chans Grah and marx reresenaon Transen and

More information

Density Matrix Description of NMR BCMB/CHEM 8190

Density Matrix Description of NMR BCMB/CHEM 8190 Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon Alernae approach o second order specra: ask abou x magnezaon nsead of energes and ranson probables. If we say wh one bass se, properes vary

More information

Density Matrix Description of NMR BCMB/CHEM 8190

Density Matrix Description of NMR BCMB/CHEM 8190 Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon If we say wh one bass se, properes vary only because of changes n he coeffcens weghng each bass se funcon x = h< Ix > - hs s how we calculae

More information

Lecture 11 SVM cont

Lecture 11 SVM cont Lecure SVM con. 0 008 Wha we have done so far We have esalshed ha we wan o fnd a lnear decson oundary whose margn s he larges We know how o measure he margn of a lnear decson oundary Tha s: he mnmum geomerc

More information

Online Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading

Online Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading Onlne Supplemen for Dynamc Mul-Technology Producon-Invenory Problem wh Emssons Tradng by We Zhang Zhongsheng Hua Yu Xa and Baofeng Huo Proof of Lemma For any ( qr ) Θ s easy o verfy ha he lnear programmng

More information

THEORETICAL AUTOCORRELATIONS. ) if often denoted by γ. Note that

THEORETICAL AUTOCORRELATIONS. ) if often denoted by γ. Note that THEORETICAL AUTOCORRELATIONS Cov( y, y ) E( y E( y))( y E( y)) ρ = = Var( y) E( y E( y)) =,, L ρ = and Cov( y, y ) s ofen denoed by whle Var( y ) f ofen denoed by γ. Noe ha γ = γ and ρ = ρ and because

More information

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal

More information

Anisotropic Behaviors and Its Application on Sheet Metal Stamping Processes

Anisotropic Behaviors and Its Application on Sheet Metal Stamping Processes Ansoropc Behavors and Is Applcaon on Shee Meal Sampng Processes Welong Hu ETA-Engneerng Technology Assocaes, Inc. 33 E. Maple oad, Sue 00 Troy, MI 48083 USA 48-79-300 whu@ea.com Jeanne He ETA-Engneerng

More information

UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION

UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION INTERNATIONAL TRADE T. J. KEHOE UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 27 EXAMINATION Please answer wo of he hree quesons. You can consul class noes, workng papers, and arcles whle you are workng on he

More information

Motion of Wavepackets in Non-Hermitian. Quantum Mechanics

Motion of Wavepackets in Non-Hermitian. Quantum Mechanics Moon of Wavepaces n Non-Herman Quanum Mechancs Nmrod Moseyev Deparmen of Chemsry and Mnerva Cener for Non-lnear Physcs of Complex Sysems, Technon-Israel Insue of Technology www.echnon echnon.ac..ac.l\~nmrod

More information

Diffusion of Heptane in Polyethylene Vinyl Acetate: Modelisation and Experimentation

Diffusion of Heptane in Polyethylene Vinyl Acetate: Modelisation and Experimentation IOSR Journal of Appled hemsry (IOSR-JA) e-issn: 78-5736.Volume 7, Issue 6 Ver. I. (Jun. 4), PP 8-86 Dffuson of Hepane n Polyehylene Vnyl Aceae: odelsaon and Expermenaon Rachd Aman *, Façal oubarak, hammed

More information

Sklar: Sections (4.4.2 is not covered).

Sklar: Sections (4.4.2 is not covered). COSC 44: Dgal Councaons Insrucor: Dr. Ar Asf Deparen of Copuer Scence and Engneerng York Unversy Handou # 6: Bandpass Modulaon opcs:. Phasor Represenaon. Dgal Modulaon Schees: PSK FSK ASK APK ASK/FSK)

More information

Complex Numbers. x = B B 2 4AC 2A. or x = x = 2 ± 4 4 (1) (5) 2 (1)

Complex Numbers. x = B B 2 4AC 2A. or x = x = 2 ± 4 4 (1) (5) 2 (1) Complex Numbers If you have not yet encountered complex numbers, you wll soon do so n the process of solvng quadratc equatons. The general quadratc equaton Ax + Bx + C 0 has solutons x B + B 4AC A For

More information

Chapter 5. Circuit Theorems

Chapter 5. Circuit Theorems Chaper 5 Crcu Theorems Source Transformaons eplace a olage source and seres ressor by a curren and parallel ressor Fgure 5.-1 (a) A nondeal olage source. (b) A nondeal curren source. (c) Crcu B-conneced

More information

A capacitor consists of two conducting plates, separated by an insulator. Conduction plates: e.g., Aluminum foil Insulator: air, mica, ceramic, etc

A capacitor consists of two conducting plates, separated by an insulator. Conduction plates: e.g., Aluminum foil Insulator: air, mica, ceramic, etc 3//7 haper 6 apacors and Inducors Makng preparaon for dynamc crcus, whch hae far more applcaons han he sac crcus we hae learned so far. 6. apacors Sore energy n elecrc feld nsulaor onducng plaes A capacor

More information

Electromagnetic waves in vacuum.

Electromagnetic waves in vacuum. leromagne waves n vauum. The dsovery of dsplaemen urrens enals a peular lass of soluons of Maxwell equaons: ravellng waves of eler and magne felds n vauum. In he absene of urrens and harges, he equaons

More information

Application Notes for AP3770 System Solution

Application Notes for AP3770 System Solution lcaon oe 1067 lcaon oes for 3770 ysem oluon reared by u Qg Hua ysem Engeerg De. 1. nroducon The 3770 uses ulse Frequency Modulaon (FM) mehod o realze Dsconuous Conducon Mode (DCM) oeraon for FYBCK ower

More information

H = d d q 1 d d q N d d p 1 d d p N exp

H = d d q 1 d d q N d d p 1 d d p N exp 8333: Sacal Mechanc I roblem Se # 7 Soluon Fall 3 Canoncal Enemble Non-harmonc Ga: The Hamlonan for a ga of N non neracng parcle n a d dmenonal box ha he form H A p a The paron funcon gven by ZN T d d

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 0 Canoncal Transformaons (Chaper 9) Wha We Dd Las Tme Hamlon s Prncple n he Hamlonan formalsm Dervaon was smple δi δ Addonal end-pon consrans pq H( q, p, ) d 0 δ q ( ) δq ( ) δ

More information

Performance Analysis for a Network having Standby Redundant Unit with Waiting in Repair

Performance Analysis for a Network having Standby Redundant Unit with Waiting in Repair TECHNI Inernaonal Journal of Compung Scence Communcaon Technologes VOL.5 NO. July 22 (ISSN 974-3375 erformance nalyss for a Nework havng Sby edundan Un wh ang n epar Jendra Sngh 2 abns orwal 2 Deparmen

More information

, t 1. Transitions - this one was easy, but in general the hardest part is choosing the which variables are state and control variables

, t 1. Transitions - this one was easy, but in general the hardest part is choosing the which variables are state and control variables Opmal Conrol Why Use I - verss calcls of varaons, opmal conrol More generaly More convenen wh consrans (e.g., can p consrans on he dervaves More nsghs no problem (a leas more apparen han hrogh calcls of

More information

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae

More information

Energy Storage Devices

Energy Storage Devices Energy Sorage Deces Objece of Lecure Descrbe he consrucon of a capacor and how charge s sored. Inroduce seeral ypes of capacors Dscuss he elecrcal properes of a capacor The relaonshp beween charge, olage,

More information

II. Light is a Ray (Geometrical Optics)

II. Light is a Ray (Geometrical Optics) II Lgh s a Ray (Geomercal Opcs) IIB Reflecon and Refracon Hero s Prncple of Leas Dsance Law of Reflecon Hero of Aleandra, who lved n he 2 nd cenury BC, posulaed he followng prncple: Prncple of Leas Dsance:

More information

Chapter Lagrangian Interpolation

Chapter Lagrangian Interpolation Chaper 5.4 agrangan Inerpolaon Afer readng hs chaper you should be able o:. dere agrangan mehod of nerpolaon. sole problems usng agrangan mehod of nerpolaon and. use agrangan nerpolans o fnd deraes and

More information

Physics 114 Exam 2 Fall 2014 Solutions. Name:

Physics 114 Exam 2 Fall 2014 Solutions. Name: Physcs 114 Exam Fall 014 Name: For gradng purposes (do not wrte here): Queston 1. 1... 3. 3. Problem Answer each of the followng questons. Ponts for each queston are ndcated n red. Unless otherwse ndcated,

More information

A New Method for Computing EM Algorithm Parameters in Speaker Identification Using Gaussian Mixture Models

A New Method for Computing EM Algorithm Parameters in Speaker Identification Using Gaussian Mixture Models 0 IACSI Hong Kong Conferences IPCSI vol. 9 (0) (0) IACSI Press, Sngaore A New ehod for Comung E Algorhm Parameers n Seaker Idenfcaon Usng Gaussan xure odels ohsen Bazyar +, Ahmad Keshavarz, and Khaoon

More information

P R = P 0. The system is shown on the next figure:

P R = P 0. The system is shown on the next figure: TPG460 Reservor Smulaon 08 page of INTRODUCTION TO RESERVOIR SIMULATION Analycal and numercal soluons of smple one-dmensonal, one-phase flow equaons As an nroducon o reservor smulaon, we wll revew he smples

More information

OP = OO' + Ut + Vn + Wb. Material We Will Cover Today. Computer Vision Lecture 3. Multi-view Geometry I. Amnon Shashua

OP = OO' + Ut + Vn + Wb. Material We Will Cover Today. Computer Vision Lecture 3. Multi-view Geometry I. Amnon Shashua Comuer Vson 27 Lecure 3 Mul-vew Geomer I Amnon Shashua Maeral We Wll Cover oa he srucure of 3D->2D rojecon mar omograh Marces A rmer on rojecve geomer of he lane Eolar Geomer an Funamenal Mar ebrew Unvers

More information

Polymerization Technology Laboratory Course

Polymerization Technology Laboratory Course Prakkum Polymer Scence/Polymersaonsechnk Versuch Resdence Tme Dsrbuon Polymerzaon Technology Laboraory Course Resdence Tme Dsrbuon of Chemcal Reacors If molecules or elemens of a flud are akng dfferen

More information

Lecture 11 Inductance and Capacitance

Lecture 11 Inductance and Capacitance ecure Inducance and apacance EETRIA ENGINEERING: PRINIPES AND APPIATIONS, Fourh Edon, by Allan R. Hambley, 8 Pearson Educaon, Inc. Goals. Fnd he curren olage for a capacance or nducance gen he olage curren

More information

Built in Potential, V 0

Built in Potential, V 0 9/5/7 Indan Insttute of Technology Jodhur, Year 7 nalog Electroncs (Course Code: EE34) Lecture 3 4: ode contd Course Instructor: hree Prakash Twar Emal: stwar@tj.ac.n Webage: htt://home.tj.ac.n/~stwar/

More information

FTCS Solution to the Heat Equation

FTCS Solution to the Heat Equation FTCS Soluon o he Hea Equaon ME 448/548 Noes Gerald Reckenwald Porland Sae Unversy Deparmen of Mechancal Engneerng gerry@pdxedu ME 448/548: FTCS Soluon o he Hea Equaon Overvew Use he forward fne d erence

More information

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon

More information

Born Oppenheimer Approximation and Beyond

Born Oppenheimer Approximation and Beyond L Born Oppenhemer Approxmaon and Beyond aro Barba A*dex Char Professor maro.barba@unv amu.fr Ax arselle Unversé, nsu de Chme Radcalare LGHT AD Adabac x dabac x nonadabac LGHT AD From Gree dabaos: o be

More information

Multi-Fuel and Mixed-Mode IC Engine Combustion Simulation with a Detailed Chemistry Based Progress Variable Library Approach

Multi-Fuel and Mixed-Mode IC Engine Combustion Simulation with a Detailed Chemistry Based Progress Variable Library Approach Mul-Fuel and Med-Mode IC Engne Combuson Smulaon wh a Dealed Chemsry Based Progress Varable Lbrary Approach Conens Inroducon Approach Resuls Conclusons 2 Inroducon New Combuson Model- PVM-MF New Legslaons

More information

Diode rectifier with capacitive DC link

Diode rectifier with capacitive DC link . Converers Dode recfer wh capacve DC lnk 4 e lne lne D D 3 C v v [] e e D D 4 4 5 5 Fgure.: A sngle-phase dode recfer wh a capacve DC lnk. [s] Fgure.: ne-o-neural volage and DC sde volage for a sngle-phase

More information

Bandlimited channel. Intersymbol interference (ISI) This non-ideal communication channel is also called dispersive channel

Bandlimited channel. Intersymbol interference (ISI) This non-ideal communication channel is also called dispersive channel Inersymol nererence ISI ISI s a sgnal-dependen orm o nererence ha arses ecause o devaons n he requency response o a channel rom he deal channel. Example: Bandlmed channel Tme Doman Bandlmed channel Frequency

More information

Midterm Exam. Thursday, April hour, 15 minutes

Midterm Exam. Thursday, April hour, 15 minutes Economcs of Grow, ECO560 San Francsco Sae Unvers Mcael Bar Sprng 04 Mderm Exam Tursda, prl 0 our, 5 mnues ame: Insrucons. Ts s closed boo, closed noes exam.. o calculaors of an nd are allowed. 3. Sow all

More information

Robustness Experiments with Two Variance Components

Robustness Experiments with Two Variance Components Naonal Insue of Sandards and Technology (NIST) Informaon Technology Laboraory (ITL) Sascal Engneerng Dvson (SED) Robusness Expermens wh Two Varance Componens by Ana Ivelsse Avlés avles@ns.gov Conference

More information

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005 Dynamc Team Decson Theory EECS 558 Proec Shruvandana Sharma and Davd Shuman December 0, 005 Oulne Inroducon o Team Decson Theory Decomposon of he Dynamc Team Decson Problem Equvalence of Sac and Dynamc

More information

Normal Random Variable and its discriminant functions

Normal Random Variable and its discriminant functions Noral Rando Varable and s dscrnan funcons Oulne Noral Rando Varable Properes Dscrnan funcons Why Noral Rando Varables? Analycally racable Works well when observaon coes for a corruped snle prooype 3 The

More information

Motion in Two Dimensions

Motion in Two Dimensions Phys 1 Chaper 4 Moon n Two Dmensons adzyubenko@csub.edu hp://www.csub.edu/~adzyubenko 005, 014 A. Dzyubenko 004 Brooks/Cole 1 Dsplacemen as a Vecor The poson of an objec s descrbed by s poson ecor, r The

More information

ELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION

ELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION THE 19 TH INTERNATIONAL ONFERENE ON OMPOSITE MATERIALS ELASTI MODULUS ESTIMATION OF HOPPED ARBON FIBER TAPE REINFORED THERMOPLASTIS USING THE MONTE ARLO SIMULATION Y. Sao 1*, J. Takahash 1, T. Masuo 1,

More information

Digital Integrated CircuitDesign

Digital Integrated CircuitDesign Dgal Inegraed CrcuDesgn Lecure 6 BJT Inverer Swchng Tmes µ s 01. 1 3 4 6 2 Adb Abrshamfar EE Deparmen IUST Cnens BJT Inverer Cuff Regn ( 1 ) Acve Regn ( 1 2 ) Sauran Regn ( 3 4 ) Acve Regn ( 4 ) Recvery

More information

Application Notes for AP3770 System Solution

Application Notes for AP3770 System Solution lcaon oe 1068 lcaon oes for 3770 ysem oluon reared by u Qg Hua ysem Engeerg De. 1. nroducon The 3770 uses ulse Frequency Modulaon (FM) mehod o realze Dsconuous Conducon Mode (DCM) oeraon for FYBCK ower

More information

Econ107 Applied Econometrics Topic 5: Specification: Choosing Independent Variables (Studenmund, Chapter 6)

Econ107 Applied Econometrics Topic 5: Specification: Choosing Independent Variables (Studenmund, Chapter 6) Econ7 Appled Economercs Topc 5: Specfcaon: Choosng Independen Varables (Sudenmund, Chaper 6 Specfcaon errors ha we wll deal wh: wrong ndependen varable; wrong funconal form. Ths lecure deals wh wrong ndependen

More information

Control Systems. Mathematical Modeling of Control Systems.

Control Systems. Mathematical Modeling of Control Systems. Conrol Syem Mahemacal Modelng of Conrol Syem chbum@eoulech.ac.kr Oulne Mahemacal model and model ype. Tranfer funcon model Syem pole and zero Chbum Lee -Seoulech Conrol Syem Mahemacal Model Model are key

More information

Testing a new idea to solve the P = NP problem with mathematical induction

Testing a new idea to solve the P = NP problem with mathematical induction Tesng a new dea o solve he P = NP problem wh mahemacal nducon Bacground P and NP are wo classes (ses) of languages n Compuer Scence An open problem s wheher P = NP Ths paper ess a new dea o compare he

More information

Imperfect Information

Imperfect Information Imerfec Informaon Comlee Informaon - all layers know: Se of layers Se of sraeges for each layer Oucomes as a funcon of he sraeges Payoffs for each oucome (.e. uly funcon for each layer Incomlee Informaon

More information

Math 128b Project. Jude Yuen

Math 128b Project. Jude Yuen Mah 8b Proec Jude Yuen . Inroducon Le { Z } be a sequence of observed ndependen vecor varables. If he elemens of Z have a on normal dsrbuon hen { Z } has a mean vecor Z and a varancecovarance marx z. Geomercally

More information

Homework 8: Rigid Body Dynamics Due Friday April 21, 2017

Homework 8: Rigid Body Dynamics Due Friday April 21, 2017 EN40: Dynacs and Vbraons Hoework 8: gd Body Dynacs Due Frday Aprl 1, 017 School of Engneerng Brown Unversy 1. The earh s roaon rae has been esaed o decrease so as o ncrease he lengh of a day a a rae of

More information

Chapter 3: Signed-rank charts

Chapter 3: Signed-rank charts Chaer : gned-ran chars.. The hewhar-ye conrol char... Inroducon As menoned n Chaer, samles of fxed sze are aen a regular nervals and he long sasc s hen loed. The queson s: Whch qualy arameer should be

More information

WebAssign HW Due 11:59PM Tuesday Clicker Information

WebAssign HW Due 11:59PM Tuesday Clicker Information WebAssgn HW Due 11:59PM Tuesday Clcker Inormaon Remnder: 90% aemp, 10% correc answer Clcker answers wll be a end o class sldes (onlne). Some days we wll do a lo o quesons, and ew ohers Each day o clcker

More information

Application Notes for AP3772 System Solution

Application Notes for AP3772 System Solution lcaon oe 08 lcaon oes for 377 ysem oluon reared by Zhao Jng Jng ysem Engneerng De.. nroducon The 377 uses ulse Frequency Modulaon (FM) mehod o realze Dsconnuous Conducon Mode (DCM) oeraon for Flyback ower

More information