ECE 340 Lecture 15 and 16: Diffusion of Carriers Class Outline:

Size: px
Start display at page:

Download "ECE 340 Lecture 15 and 16: Diffusion of Carriers Class Outline:"

Transcription

1 ECE 340 Lecure 5 ad 6: iffusio of Carriers Class Oulie: iffusio rocesses iffusio ad rif of Carriers

2 Thigs you should kow whe you leave Key Quesios Why do carriers diffuse? Wha haes whe we add a elecric field o our carrier gradie? How ca I visualize his from a bad diagram? Wha is he geeral effec of icludig recombiaio i our cosideraios? Wha is he relaioshi bewee diffusio ad mobiliy? M.. Gilber ECE 440 Lecure 5 ad 6 9/6/

3 iffusio rocesses Wha haes whe we have a coceraio discoiuiy?? Cosider a siuaio where we sray erfume i he corer of a room If here is o covecio or moio of air, he he sce sreads by diffusio. This is due o he radom moio of aricles. aricles move radomly uil hey collide wih a air molecule which chages i s direcio. If he moio is ruly radom, he a aricle siig i some volume has eual robabiliies of movig io or ou of he volume a some ime ierval. T 0 Should he same hig hae i a semicoducor if we have saial gradies of carriers? T 0 T 0 T 3 0 M.. Gilber ECE 440 Lecure 5 ad 6 9/6/

4 iffusio rocesses Le s shie ligh o a localized ar of a semicoducor ow le s moior he sysem 04 Assume hermal moio. Carriers move by ieracig wih he laice or imuriies. Thermal moio causes aricles o jum o a adjace comarme. Afer he mea-free ime ( c ), half of aricles will leave ad half will remai a cerai volume c c 6 c c rocess coiues uil uiform coceraio. We mus have a coceraio gradie for diffusio o sar. M.. Gilber ECE 440 Lecure 5 ad 6 9/6/

5 iffusio rocesses How do we describe his hysical rocess?? We wa o calculae he rae a which elecros diffuse i a simle oedimesioal eamle. Cosider a arbirary elecro disribuio λ λ λ e # of elecros movig from lef o righ i oe c. ivide he disribuio io icremeal disaces of he mea-free ah (λ). Evaluae () i he ceer of he segmes. Elecros o he lef of 0 have a 50% chace of movig lef or righ i a ime, c. Same is rue for elecros o he righ of 0. λ ( A) ( λa) M.. Gilber ECE 440 Lecure 5 ad 6 9/6/

6 iffusio rocesses So we have a flu of aricles The rae of elecro flow i he + direcio (er ui area): λ φ c ( ) Sice he mea-free ah is a small differeial legh, we ca wrie he elecro differece as: ( ) ( ) I he limi of small Δ, or small + λ φ ( ) λ c λ lim 0 c d( ) d φ mea-free ah bewee collisios ( ) ( + ) iffusio coefficie (cm /sec) M.. Gilber ECE 440 Lecure 5 ad 6 9/6/ λ λ

7 iffusio rocesses Bu we already eeced his efie he carrier flu for elecros ad holes: φ φ ( ) ( ) d d d ( ) ( ) d Ad he corresodig curre desiies associaed wih diffusio diff diff d( ) d d( ) d Carriers move ogeher, curres oosie direcios. M.. Gilber ECE 440 Lecure 5 ad 6 9/6/

8 iffusio ad rif of Carriers How do we hadle a coceraio gradie ad a elecric field? e- h+ E () () The oal curre mus be he sum of he elecro ad hole curres resulig from he drif ad diffusio rocesses ( ) µ ( ) E( ) ( ) µ ( ) E( ) + ( ) d d d ( ) d rif iffusio Where are he aricles ad curres flowig? φ (diff ad drif) φ (diff) ( ) + Elecros Holes φ (drif) (diff ad drif) (diff) (drif) ashed Arrows aricle Flow Solid Arrows Resulig Curres M.. Gilber ECE 440 Lecure 5 ad 6 9/6/

9 iffusio ad rif of Carriers A few era observaios φ (diff ad drif) φ (diff) φ (drif) (diff ad drif) (diff) (drif) ashed Arrows aricle Flow Solid Arrows Resulig Curres iffusio curres are i oosie direcios. rif curres are i he same direcio. Curres deed o: Relaive elecro ad hole coceraios. Magiude ad direcios of elecric field. Carrier gradies. ( ) ( ) E( ) ( ) µ ( ) E( ) ( ) d d d µ + iffusio curres ca be large eve if he carriers are i he mioriy by several orders of magiude. o rue for drif curres. ( ) d M.. Gilber ECE 440 Lecure 5 ad 6 9/6/

10 iffusio ad rif of Carriers Ca we relae he diffusio coefficie o he mobiliy? We ca by usig wha we kow abou drif, diffusio, ad bad bedig ( ) d d i k T b e I euilibrium, o curre flows. Ay flucuaio ha would begi a diffusio curre also ses u a elecric field which redisribues he carriers by drif. ( ) ( ) E( ) µ + ( ) d d M.. Gilber ECE 440 Lecure 5 ad 6 9/6/ 0 Solve for he elecric field E(): E( ) I s euilibrium, so we kow (): ( ) ( E E ) F k T b i dei d k T b E Assumig E is o-zero e i ( E E ) ( E ) µ ( E) 0 k T b F k b T i µ µ µ ( ) d( ) d kbt kbt

11 iffusio ad rif of Carriers These relaios are called he Eisei relaios µ µ kbt kbt The balace of drif ad diffusio curres creaes a buil-i elecric field o accomay ay gradie i he bads. Gradies i he bads ca occur a euilibrium whe: he bad ga varies. alloy coceraio varies. doa coceraios vary. E V de d dev d c de d i M.. Gilber ECE 440 Lecure 5 ad 6 9/6/

12 iffusio ad rif of Carriers Recall he revious eamle Assume ha: E c I is silico maiaied a 300 K. E f E i E g /4 a ± L ad E f E i E g /4 a 0. E i E f E v Choose he Fermi level as he referece eergy. V ( ) E c E ref V E -L 0 L V E de d dev d c dei d -L 0 L -L 0 L M.. Gilber ECE 440 Lecure 5 ad 6 9/6/

13 iffusio ad rif of Carriers Quesio: Is i i euilibrium? E c Eergy E i E f E f Maerial OS (E) F f (E) Maerial OS (E) F f (E) Assume wo maerials i iimae coac. I hermal euilibrium. o curre. o e eergy rasfer. Carriers movig from o mus be balaced by carriers movig from o. E v -L 0 L Rae ( E) f( E) ( E) [ f( E) ] - ( E ) f ( E ) ( E ) [ f ( E ) ] Rae - Rae - Rae - de F Therefore f (E) f (E) E f E 0 YES f d M.. Gilber ECE 440 Lecure 5 ad 6 9/6/

14 iffusio ad rif of Carriers Wha are he elecro ad hole curre desiies a ± L/: E c E i I is i euilibrium, so ad 0. E f E v Roughly skech ad iside he samle: -L 0 L i -L 0 L M.. Gilber ECE 440 Lecure 5 ad 6 9/6/

15 iffusio ad rif of Carriers Wha are he elecro diffusio curre a ± L/? If so, i wha direcio? There is a diffusio curre a boh L/ ad L/. A L/: A L/: d d d d > 0 < 0 diff diff Wha are he elecro drif curre a ± L/? If so, i wha direcio? A L/: drif E c E i E f E v -L 0 L drif vd µ E A L/: drif Wha is he diffusio coefficie? Use Eisei relaio kbt M.. Gilber ECE 440 Lecure 5 ad 6 9/6/ µ.9 cm /sec

16 iffusio ad Recombiaio So wha does his mea? Cosider his semicoducor: The hole curre desiy leavig he differeial area may be larger or smaller ha he curre desiy ha eers he area. This is a resul of recombiaio ad geeraio. e icrease i hole coceraio er ui ime, d/d, is differece bewee hole flu er ui volume eerig ad leavig, mius he recombiaio rae. M.. Gilber ECE 440 Lecure 5 ad 6 9/6/

17 iffusio ad Recombiaio How ca we elai his? The e icrease i hole coceraio er ui ime is he differece bewee he hole flu eerig ad leavig mius he recombiaio rae + ( ) ( + ) Rae of hole buildu. Icrease i hole coceraio i ΔA er ui ime. Recombiaio rae As Δ goes o zero, we ca wrie he chage i hole coceraio as a derivaive, jus like i diffusio (, ) Holes These relaios form he (, ) coiuiy euaios. Elecros M.. Gilber ECE 440 Lecure 5 ad 6 9/6/

18 M.. Gilber ECE 440 Lecure 5 ad 6 9/6/ iffusio ad Recombiaio Are here ay simlificaios? If he curre is carried maily by diffusio (small drif) we ca relace he curres i he coiuiy euaio diff diff We u his back io he coiuiy euaios iffusio euaio for elecros ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) d d E d d E + µ µ ( ) ( ),, iffusio euaio for holes Useful mahemaical euaio for may differe hysical siuaios

19 M.. Gilber ECE 440 Lecure 5 ad 6 9/6/ Seady Sae Carrier Ijecio To his oi, we bee assumig ha he erurbaio was removed Wha haes if we kee he erurbaio? The ime derivaives disaear L d d L d d Elecros Holes Where L L iffusio Legh

ECE 340 Lecture 19 : Steady State Carrier Injection Class Outline:

ECE 340 Lecture 19 : Steady State Carrier Injection Class Outline: ECE 340 ecure 19 : Seady Sae Carrier Ijecio Class Oulie: iffusio ad Recombiaio Seady Sae Carrier Ijecio Thigs you should kow whe you leave Key Quesios Wha are he major mechaisms of recombiaio? How do we

More information

Key Questions. ECE 340 Lecture 16 and 17: Diffusion of Carriers 2/28/14

Key Questions. ECE 340 Lecture 16 and 17: Diffusion of Carriers 2/28/14 /8/4 C 340 eure 6 ad 7: iffusio of Carriers Class Oulie: iffusio roesses iffusio ad rif of Carriers Thigs you should kow whe you leave Key Quesios Why do arriers use? Wha haes whe we add a eleri field

More information

Complementi di Fisica Lecture 6

Complementi di Fisica Lecture 6 Comlemei di Fisica Lecure 6 Livio Laceri Uiversià di Triese Triese, 15/17-10-2006 Course Oulie - Remider The hysics of semicoducor devices: a iroducio Basic roeries; eergy bads, desiy of saes Equilibrium

More information

Lecture 15: Three-tank Mixing and Lead Poisoning

Lecture 15: Three-tank Mixing and Lead Poisoning Lecure 15: Three-ak Miig ad Lead Poisoig Eigevalues ad eigevecors will be used o fid he soluio of a sysem for ukow fucios ha saisfy differeial equaios The ukow fucios will be wrie as a 1 colum vecor [

More information

3.8. Other Unipolar Junctions

3.8. Other Unipolar Junctions 3.8. Oher Uipolar ucios The meal-semicoducor jucio is he mos sudied uipolar jucio, be o he oly oe ha occurs i semicoducor devices. Two oher uipolar jucios are he - homojucio ad he - Heerojucio. The - homojucio

More information

Fresnel Dragging Explained

Fresnel Dragging Explained Fresel Draggig Explaied 07/05/008 Decla Traill Decla@espace.e.au The Fresel Draggig Coefficie required o explai he resul of he Fizeau experime ca be easily explaied by usig he priciples of Eergy Field

More information

K3 p K2 p Kp 0 p 2 p 3 p

K3 p K2 p Kp 0 p 2 p 3 p Mah 80-00 Mo Ar 0 Chaer 9 Fourier Series ad alicaios o differeial equaios (ad arial differeial equaios) 9.-9. Fourier series defiiio ad covergece. The idea of Fourier series is relaed o he liear algebra

More information

STK4080/9080 Survival and event history analysis

STK4080/9080 Survival and event history analysis STK48/98 Survival ad eve hisory aalysis Marigales i discree ime Cosider a sochasic process The process M is a marigale if Lecure 3: Marigales ad oher sochasic processes i discree ime (recap) where (formally

More information

ECE-314 Fall 2012 Review Questions

ECE-314 Fall 2012 Review Questions ECE-34 Fall 0 Review Quesios. A liear ime-ivaria sysem has he ipu-oupu characerisics show i he firs row of he diagram below. Deermie he oupu for he ipu show o he secod row of he diagram. Jusify your aswer.

More information

Exercise 3 Stochastic Models of Manufacturing Systems 4T400, 6 May

Exercise 3 Stochastic Models of Manufacturing Systems 4T400, 6 May Exercise 3 Sochasic Models of Maufacurig Sysems 4T4, 6 May. Each week a very popular loery i Adorra pris 4 ickes. Each ickes has wo 4-digi umbers o i, oe visible ad he oher covered. The umbers are radomly

More information

COMBUSTION. TA : Donggi Lee ROOM: Building N7-2 #3315 TELEPHONE : 3754 Cellphone : PROF.

COMBUSTION. TA : Donggi Lee ROOM: Building N7-2 #3315 TELEPHONE : 3754 Cellphone : PROF. COMBUSIO ROF. SEUG WOOK BAEK DEARME OF AEROSACE EGIEERIG, KAIS, I KOREA ROOM: Buldng 7- #334 ELEHOE : 3714 Cellphone : 1-53 - 5934 swbaek@kast.a.kr http://proom.kast.a.kr A : Dongg Lee ROOM: Buldng 7-

More information

C(p, ) 13 N. Nuclear reactions generate energy create new isotopes and elements. Notation for stellar rates: p 12

C(p, ) 13 N. Nuclear reactions generate energy create new isotopes and elements. Notation for stellar rates: p 12 Iroducio o sellar reacio raes Nuclear reacios geerae eergy creae ew isoopes ad elemes Noaio for sellar raes: p C 3 N C(p,) 3 N The heavier arge ucleus (Lab: arge) he ligher icomig projecile (Lab: beam)

More information

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i)

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i) Mah PracTes Be sure o review Lab (ad all labs) There are los of good quesios o i a) Sae he Mea Value Theorem ad draw a graph ha illusraes b) Name a impora heorem where he Mea Value Theorem was used i he

More information

Energy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation.

Energy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation. ecure Phys 375 Eergy Desiy / Eergy Flu / oal Eergy i D Overview ad Moivaio: Fro your sudy of waves i iroducory physics you should be aware ha waves ca raspor eergy fro oe place o aoher cosider he geeraio

More information

REVERSE CHARACTERISTICS OF PN JUNCTION

REVERSE CHARACTERISTICS OF PN JUNCTION EESE CHAACESCS O N JUNCON Whe ucio reverse biased, sace charge regio creaed by ioised doors ad acceors exeds. Elecric field ad volage disribuio ca be fid solvig oisso equaio e( ND NA ) div E div grad ε

More information

1 Notes on Little s Law (l = λw)

1 Notes on Little s Law (l = λw) Copyrigh c 26 by Karl Sigma Noes o Lile s Law (l λw) We cosider here a famous ad very useful law i queueig heory called Lile s Law, also kow as l λw, which assers ha he ime average umber of cusomers i

More information

Calculus BC 2015 Scoring Guidelines

Calculus BC 2015 Scoring Guidelines AP Calculus BC 5 Scorig Guidelies 5 The College Board. College Board, Advaced Placeme Program, AP, AP Ceral, ad he acor logo are regisered rademarks of he College Board. AP Ceral is he official olie home

More information

Moment Generating Function

Moment Generating Function 1 Mome Geeraig Fucio m h mome m m m E[ ] x f ( x) dx m h ceral mome m m m E[( ) ] ( ) ( x ) f ( x) dx Mome Geeraig Fucio For a real, M () E[ e ] e k x k e p ( x ) discree x k e f ( x) dx coiuous Example

More information

Pure Math 30: Explained!

Pure Math 30: Explained! ure Mah : Explaied! www.puremah.com 6 Logarihms Lesso ar Basic Expoeial Applicaios Expoeial Growh & Decay: Siuaios followig his ype of chage ca be modeled usig he formula: (b) A = Fuure Amou A o = iial

More information

Problems and Solutions for Section 3.2 (3.15 through 3.25)

Problems and Solutions for Section 3.2 (3.15 through 3.25) 3-7 Problems ad Soluios for Secio 3 35 hrough 35 35 Calculae he respose of a overdamped sigle-degree-of-freedom sysem o a arbirary o-periodic exciaio Soluio: From Equaio 3: x = # F! h "! d! For a overdamped

More information

ECE Semiconductor Device and Material Characterization

ECE Semiconductor Device and Material Characterization ECE 483 Semicoducor Device ad Maerial Characerizaio Dr. Ala Doolile School of Elecrical ad Comuer Egieerig Georgia Isiue of Techology As wih all of hese lecure slides, I am idebed o Dr. Dieer Schroder

More information

Chemistry 1B, Fall 2016 Topics 21-22

Chemistry 1B, Fall 2016 Topics 21-22 Cheisry B, Fall 6 Topics - STRUCTURE ad DYNAMICS Cheisry B Fall 6 Cheisry B so far: STRUCTURE of aos ad olecules Topics - Cheical Kieics Cheisry B ow: DYNAMICS cheical kieics herodyaics (che C, 6B) ad

More information

Institute of Actuaries of India

Institute of Actuaries of India Isiue of cuaries of Idia Subjec CT3-robabiliy ad Mahemaical Saisics May 008 Eamiaio INDICTIVE SOLUTION Iroducio The idicaive soluio has bee wrie by he Eamiers wih he aim of helig cadidaes. The soluios

More information

B. Maddah INDE 504 Simulation 09/02/17

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

More information

Review Exercises for Chapter 9

Review Exercises for Chapter 9 0_090R.qd //0 : PM Page 88 88 CHAPTER 9 Ifiie Series I Eercises ad, wrie a epressio for he h erm of he sequece..,., 5, 0,,,, 0,... 7,... I Eercises, mach he sequece wih is graph. [The graphs are labeled

More information

Chapter 2: Time-Domain Representations of Linear Time-Invariant Systems. Chih-Wei Liu

Chapter 2: Time-Domain Representations of Linear Time-Invariant Systems. Chih-Wei Liu Caper : Time-Domai Represeaios of Liear Time-Ivaria Sysems Ci-Wei Liu Oulie Iroucio Te Covoluio Sum Covoluio Sum Evaluaio Proceure Te Covoluio Iegral Covoluio Iegral Evaluaio Proceure Iercoecios of LTI

More information

The Eigen Function of Linear Systems

The Eigen Function of Linear Systems 1/25/211 The Eige Fucio of Liear Sysems.doc 1/7 The Eige Fucio of Liear Sysems Recall ha ha we ca express (expad) a ime-limied sigal wih a weighed summaio of basis fucios: v ( ) a ψ ( ) = where v ( ) =

More information

SUMMATION OF INFINITE SERIES REVISITED

SUMMATION OF INFINITE SERIES REVISITED SUMMATION OF INFINITE SERIES REVISITED I several aricles over he las decade o his web page we have show how o sum cerai iiie series icludig he geomeric series. We wa here o eed his discussio o he geeral

More information

Extremal graph theory II: K t and K t,t

Extremal graph theory II: K t and K t,t Exremal graph heory II: K ad K, Lecure Graph Theory 06 EPFL Frak de Zeeuw I his lecure, we geeralize he wo mai heorems from he las lecure, from riagles K 3 o complee graphs K, ad from squares K, o complee

More information

The Change of the Distances between the Wave Fronts

The Change of the Distances between the Wave Fronts Joural of Physical Mahemaics IN: 9-9 Research Aricle Aricle Joural of Physical Mahemaics Geadiy ad iali, J Phys Mah 7, 8: DOI: 47/9-97 OMI Ope Ieraioal Access Opical Fizeau Experime wih Movig Waer is Explaied

More information

th m m m m central moment : E[( X X) ] ( X X) ( x X) f ( x)

th m m m m central moment : E[( X X) ] ( X X) ( x X) f ( x) 1 Trasform Techiques h m m m m mome : E[ ] x f ( x) dx h m m m m ceral mome : E[( ) ] ( ) ( x) f ( x) dx A coveie wa of fidig he momes of a radom variable is he mome geeraig fucio (MGF). Oher rasform echiques

More information

λiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi

λiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi Liear lgebra Lecure #9 Noes This week s lecure focuses o wha migh be called he srucural aalysis of liear rasformaios Wha are he irisic properies of a liear rasformaio? re here ay fixed direcios? The discussio

More information

Carriers in a semiconductor diffuse in a carrier gradient by random thermal motion and scattering from the lattice and impurities.

Carriers in a semiconductor diffuse in a carrier gradient by random thermal motion and scattering from the lattice and impurities. Diffusio of Carriers Wheever there is a cocetratio gradiet of mobile articles, they will diffuse from the regios of high cocetratio to the regios of low cocetratio, due to the radom motio. The diffusio

More information

Effect of Heat Exchangers Connection on Effectiveness

Effect of Heat Exchangers Connection on Effectiveness Joural of Roboics ad Mechaical Egieerig Research Effec of Hea Exchagers oecio o Effeciveess Voio W Koiaho Maru J Lampie ad M El Haj Assad * Aalo Uiversiy School of Sciece ad echology P O Box 00 FIN-00076

More information

Lecture 15 First Properties of the Brownian Motion

Lecture 15 First Properties of the Brownian Motion Lecure 15: Firs Properies 1 of 8 Course: Theory of Probabiliy II Term: Sprig 2015 Isrucor: Gorda Zikovic Lecure 15 Firs Properies of he Browia Moio This lecure deals wih some of he more immediae properies

More information

Notes 03 largely plagiarized by %khc

Notes 03 largely plagiarized by %khc 1 1 Discree-Time Covoluio Noes 03 largely plagiarized by %khc Le s begi our discussio of covoluio i discree-ime, sice life is somewha easier i ha domai. We sar wih a sigal x[] ha will be he ipu io our

More information

MATH 507a ASSIGNMENT 4 SOLUTIONS FALL 2018 Prof. Alexander. g (x) dx = g(b) g(0) = g(b),

MATH 507a ASSIGNMENT 4 SOLUTIONS FALL 2018 Prof. Alexander. g (x) dx = g(b) g(0) = g(b), MATH 57a ASSIGNMENT 4 SOLUTIONS FALL 28 Prof. Alexader (2.3.8)(a) Le g(x) = x/( + x) for x. The g (x) = /( + x) 2 is decreasig, so for a, b, g(a + b) g(a) = a+b a g (x) dx b so g(a + b) g(a) + g(b). Sice

More information

Localization. MEM456/800 Localization: Bayes Filter. Week 4 Ani Hsieh

Localization. MEM456/800 Localization: Bayes Filter. Week 4 Ani Hsieh Localiaio MEM456/800 Localiaio: Baes Filer Where am I? Week 4 i Hsieh Evirome Sesors cuaors Sofware Ucerai is Everwhere Level of ucerai deeds o he alicaio How do we hadle ucerai? Eamle roblem Esimaig a

More information

Lecture 3. Electron and Hole Transport in Semiconductors

Lecture 3. Electron and Hole Transport in Semiconductors Lecture 3 lectro ad Hole Trasort i Semicoductors I this lecture you will lear: How electros ad holes move i semicoductors Thermal motio of electros ad holes lectric curret via lectric curret via usio Semicoductor

More information

CHAPTER 2 TORSIONAL VIBRATIONS

CHAPTER 2 TORSIONAL VIBRATIONS Dr Tiwari, Associae Professor, De. of Mechaical Egg., T Guwahai, (riwari@iig.ere.i) CHAPTE TOSONAL VBATONS Torsioal vibraios is redomia wheever here is large discs o relaively hi shafs (e.g. flywheel of

More information

Let s express the absorption of radiation by dipoles as a dipole correlation function.

Let s express the absorption of radiation by dipoles as a dipole correlation function. MIT Deparme of Chemisry 5.74, Sprig 004: Iroducory Quaum Mechaics II Isrucor: Prof. Adrei Tokmakoff p. 81 Time-Correlaio Fucio Descripio of Absorpio Lieshape Le s express he absorpio of radiaio by dipoles

More information

F.Y. Diploma : Sem. II [AE/CH/FG/ME/PT/PG] Applied Mathematics

F.Y. Diploma : Sem. II [AE/CH/FG/ME/PT/PG] Applied Mathematics F.Y. Diploma : Sem. II [AE/CH/FG/ME/PT/PG] Applied Mahemaics Prelim Quesio Paper Soluio Q. Aemp ay FIVE of he followig : [0] Q.(a) Defie Eve ad odd fucios. [] As.: A fucio f() is said o be eve fucio if

More information

The analysis of the method on the one variable function s limit Ke Wu

The analysis of the method on the one variable function s limit Ke Wu Ieraioal Coferece o Advaces i Mechaical Egieerig ad Idusrial Iformaics (AMEII 5) The aalysis of he mehod o he oe variable fucio s i Ke Wu Deparme of Mahemaics ad Saisics Zaozhuag Uiversiy Zaozhuag 776

More information

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws.

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws. Limi of a fucio.. Oe-Sided..... Ifiie limis Verical Asympoes... Calculaig Usig he Limi Laws.5 The Squeeze Theorem.6 The Precise Defiiio of a Limi......7 Coiuiy.8 Iermediae Value Theorem..9 Refereces..

More information

14.02 Principles of Macroeconomics Fall 2005

14.02 Principles of Macroeconomics Fall 2005 14.02 Priciples of Macroecoomics Fall 2005 Quiz 2 Tuesday, November 8, 2005 7:30 PM 9 PM Please, aswer he followig quesios. Wrie your aswers direcly o he quiz. You ca achieve a oal of 100 pois. There are

More information

BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS

BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS Opimal ear Forecasig Alhough we have o meioed hem explicily so far i he course, here are geeral saisical priciples for derivig he bes liear forecas, ad

More information

NUMERICAL SIMULATION OF NANOSCALE DOUBLE-GATE MOSFETS

NUMERICAL SIMULATION OF NANOSCALE DOUBLE-GATE MOSFETS NUMEICAL SIMULAION OF NANOSCALE DOULE-AE MOSFES olad Sezel, Leif Müller, om Herrma, Wilfried Klix Dearme of Elecrical Egieerig Uiversiy of Alied Scieces Dresde Friedrich-Lis-Plaz, D-69 Dresde ermay ASAC

More information

INVESTMENT PROJECT EFFICIENCY EVALUATION

INVESTMENT PROJECT EFFICIENCY EVALUATION 368 Miljeko Crjac Domiika Crjac INVESTMENT PROJECT EFFICIENCY EVALUATION Miljeko Crjac Professor Faculy of Ecoomics Drsc Domiika Crjac Faculy of Elecrical Egieerig Osijek Summary Fiacial efficiecy of ivesme

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 4 9/16/2013. Applications of the large deviation technique

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 4 9/16/2013. Applications of the large deviation technique MASSACHUSETTS ISTITUTE OF TECHOLOGY 6.265/5.070J Fall 203 Lecure 4 9/6/203 Applicaios of he large deviaio echique Coe.. Isurace problem 2. Queueig problem 3. Buffer overflow probabiliy Safey capial for

More information

Solutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π

Solutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π Soluios Maual. (a) (b) (c) (d) (e) (f) (g) liear oliear liear liear oliear oliear liear. The Fourier Series is: F () 5si( ) ad he fudameal frequecy is ω f ----- H z.3 Sice V rms V ad f 6Hz, he Fourier

More information

Class 36. Thin-film interference. Thin Film Interference. Thin Film Interference. Thin-film interference

Class 36. Thin-film interference. Thin Film Interference. Thin Film Interference. Thin-film interference Thi Film Ierferece Thi- ierferece Ierferece ewee ligh waves is he reaso ha hi s, such as soap ules, show colorful paers. Phoo credi: Mila Zikova, via Wikipedia Thi- ierferece This is kow as hi- ierferece

More information

Big O Notation for Time Complexity of Algorithms

Big O Notation for Time Complexity of Algorithms BRONX COMMUNITY COLLEGE of he Ciy Uiversiy of New York DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE CSI 33 Secio E01 Hadou 1 Fall 2014 Sepember 3, 2014 Big O Noaio for Time Complexiy of Algorihms Time

More information

Three Point Bending Analysis of a Mobile Phone Using LS-DYNA Explicit Integration Method

Three Point Bending Analysis of a Mobile Phone Using LS-DYNA Explicit Integration Method 9 h Ieraioal LS-DYNA Users Coerece Simulaio Techology (3) Three Poi Bedig Aalysis o a Mobile Phoe Usig LS-DYNA Explici Iegraio Mehod Feixia Pa, Jiase Zhu, Ai O. Helmie, Rami Vaaparas NOKIA Ic. Absrac I

More information

Math 6710, Fall 2016 Final Exam Solutions

Math 6710, Fall 2016 Final Exam Solutions Mah 67, Fall 6 Fial Exam Soluios. Firs, a sude poied ou a suble hig: if P (X i p >, he X + + X (X + + X / ( evaluaes o / wih probabiliy p >. This is roublesome because a radom variable is supposed o be

More information

Clock Skew and Signal Representation

Clock Skew and Signal Representation Clock Skew ad Sigal Represeaio Ch. 7 IBM Power 4 Chip 0/7/004 08 frequecy domai Program Iroducio ad moivaio Sequeial circuis, clock imig, Basic ools for frequecy domai aalysis Fourier series sigal represeaio

More information

King Fahd University of Petroleum & Minerals Computer Engineering g Dept

King Fahd University of Petroleum & Minerals Computer Engineering g Dept Kig Fahd Uiversiy of Peroleum & Mierals Compuer Egieerig g Dep COE 4 Daa ad Compuer Commuicaios erm Dr. shraf S. Hasa Mahmoud Rm -4 Ex. 74 Email: ashraf@kfupm.edu.sa 9/8/ Dr. shraf S. Hasa Mahmoud Lecure

More information

Adaptive sampling based on the motion

Adaptive sampling based on the motion Adaive samlig based o he moio Soglao, Whoi-Yul Kim School of Elecrical ad Comuer Egieerig Hayag Uiversiy Seoul, Korea 33 79 Email: sliao@visio.hayag.ac.kr wykim@hayag.ac.kr Absrac Moio based adaive samlig

More information

t = s D Overview of Tests Two-Sample t-test: Independent Samples Independent Samples t-test Difference between Means in a Two-sample Experiment

t = s D Overview of Tests Two-Sample t-test: Independent Samples Independent Samples t-test Difference between Means in a Two-sample Experiment Overview of Te Two-Sample -Te: Idepede Sample Chaper 4 z-te Oe Sample -Te Relaed Sample -Te Idepede Sample -Te Compare oe ample o a populaio Compare wo ample Differece bewee Mea i a Two-ample Experime

More information

12 Getting Started With Fourier Analysis

12 Getting Started With Fourier Analysis Commuicaios Egieerig MSc - Prelimiary Readig Geig Sared Wih Fourier Aalysis Fourier aalysis is cocered wih he represeaio of sigals i erms of he sums of sie, cosie or complex oscillaio waveforms. We ll

More information

RCT Worksheets/Quizzes 1.06 Radioactivity and Radioactive Decay

RCT Worksheets/Quizzes 1.06 Radioactivity and Radioactive Decay RCT Workshees/Quizzes.06 Radioaciviy ad Radioacive Decay.06 WORKSHEET #. worker accideally igesed oe millicurie of I3. I3 has a half-life of 8 days. How may disiegraios per secod of I3 are i he workers

More information

MAHALAKSHMI ENGINEERING COLLEGE TIRUCHIRAPALLI

MAHALAKSHMI ENGINEERING COLLEGE TIRUCHIRAPALLI MAHALAKSHMI EGIEERIG COLLEGE TIRUCHIRAALLI 6 QUESTIO BAK - ASWERS -SEMESTER: V MA 6 - ROBABILITY AD QUEUEIG THEORY UIT IV:QUEUEIG THEORY ART-A Quesio : AUC M / J Wha are he haraerisis of a queueig heory?

More information

Two Coupled Oscillators / Normal Modes

Two 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 information

ELEG5693 Wireless Communications Propagation and Noise Part II

ELEG5693 Wireless Communications Propagation and Noise Part II Deparme of Elecrical Egieerig Uiversiy of Arkasas ELEG5693 Wireless Commuicaios Propagaio ad Noise Par II Dr. Jigxia Wu wuj@uark.edu OUTLINE Wireless chael Pah loss Shadowig Small scale fadig Simulaio

More information

OLS bias for econometric models with errors-in-variables. The Lucas-critique Supplementary note to Lecture 17

OLS bias for econometric models with errors-in-variables. The Lucas-critique Supplementary note to Lecture 17 OLS bias for ecoomeric models wih errors-i-variables. The Lucas-criique Supplemeary oe o Lecure 7 RNy May 6, 03 Properies of OLS i RE models I Lecure 7 we discussed he followig example of a raioal expecaios

More information

5.74 Introductory Quantum Mechanics II

5.74 Introductory Quantum Mechanics II MIT OpeCourseWare hp://ocw.mi.edu 5.74 Iroducory Quaum Mechaics II Sprig 009 For iformaio aou ciig hese maerials or our Terms of Use, visi: hp://ocw.mi.edu/erms. drei Tokmakoff, MIT Deparme of Chemisry,

More information

Thyristors. Vitezslav Benda Dept. of Electrotechnology Czech Technical University in Prague Czech Republic

Thyristors. Vitezslav Benda Dept. of Electrotechnology Czech Technical University in Prague Czech Republic Thyrisors iezslav Beda De. of Elecroechology Czech Techical Uiversiy i rague Czech Reublic Thyrisors - family of swichig devices cosisig of four layers of semicoducor of aleraig doa ye (). Three-ermial

More information

Department of Mathematical and Statistical Sciences University of Alberta

Department of Mathematical and Statistical Sciences University of Alberta MATH 4 (R) Wier 008 Iermediae Calculus I Soluios o Problem Se # Due: Friday Jauary 8, 008 Deparme of Mahemaical ad Saisical Scieces Uiversiy of Albera Quesio. [Sec.., #] Fid a formula for he geeral erm

More information

Introduction to Hypothesis Testing

Introduction to Hypothesis Testing Noe for Seember, Iroducio o Hyohei Teig Scieific Mehod. Sae a reearch hyohei or oe a queio.. Gaher daa or evidece (obervaioal or eerimeal) o awer he queio. 3. Summarize daa ad e he hyohei. 4. Draw a cocluio.

More information

A Two-Level Quantum Analysis of ERP Data for Mock-Interrogation Trials. Michael Schillaci Jennifer Vendemia Robert Buzan Eric Green

A Two-Level Quantum Analysis of ERP Data for Mock-Interrogation Trials. Michael Schillaci Jennifer Vendemia Robert Buzan Eric Green A Two-Level Quaum Aalysis of ERP Daa for Mock-Ierrogaio Trials Michael Schillaci Jeifer Vedemia Rober Buza Eric Gree Oulie Experimeal Paradigm 4 Low Workload; Sigle Sessio; 39 8 High Workload; Muliple

More information

2007 Spring VLSI Design Mid-term Exam 2:20-4:20pm, 2007/05/11

2007 Spring VLSI Design Mid-term Exam 2:20-4:20pm, 2007/05/11 7 ri VLI esi Mid-erm xam :-4:m, 7/5/11 efieτ R, where R ad deoe he chael resisace ad he ae caaciace of a ui MO ( W / L μm 1μm ), resecively., he chael resisace of a ui PMO, is wo R P imes R. i.e., R R.

More information

Paper 3A3 The Equations of Fluid Flow and Their Numerical Solution Handout 1

Paper 3A3 The Equations of Fluid Flow and Their Numerical Solution Handout 1 Paper 3A3 The Equaios of Fluid Flow ad Their Numerical Soluio Hadou Iroducio A grea ma fluid flow problems are ow solved b use of Compuaioal Fluid Damics (CFD) packages. Oe of he major obsacles o he good

More information

8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall

8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall 8. Queueg sysems lec8. S-38.45 - Iroduco o Teleraffc Theory - Fall 8. Queueg sysems Coes Refresher: Smle eleraffc model M/M/ server wag laces M/M/ servers wag laces 8. Queueg sysems Smle eleraffc model

More information

Chapter 6 - Work and Energy

Chapter 6 - Work and Energy Caper 6 - Work ad Eergy Rosedo Pysics 1-B Eploraory Aciviy Usig your book or e iere aswer e ollowig quesios: How is work doe? Deie work, joule, eergy, poeial ad kieic eergy. How does e work doe o a objec

More information

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n

Module 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 information

Nonequilibrium Excess Carriers in Semiconductors

Nonequilibrium Excess Carriers in Semiconductors Lecture 8 Semicoductor Physics VI Noequilibrium Excess Carriers i Semicoductors Noequilibrium coditios. Excess electros i the coductio bad ad excess holes i the valece bad Ambiolar trasort : Excess electros

More information

The Moment Approximation of the First Passage Time for the Birth Death Diffusion Process with Immigraton to a Moving Linear Barrier

The Moment Approximation of the First Passage Time for the Birth Death Diffusion Process with Immigraton to a Moving Linear Barrier America Joural of Applied Mahemaics ad Saisics, 015, Vol. 3, No. 5, 184-189 Available olie a hp://pubs.sciepub.com/ajams/3/5/ Sciece ad Educaio Publishig DOI:10.1691/ajams-3-5- The Mome Approximaio of

More information

Chemical Engineering 374

Chemical Engineering 374 Chemical Egieerig 374 Fluid Mechaics NoNeoia Fluids Oulie 2 Types ad properies of o-neoia Fluids Pipe flos for o-neoia fluids Velociy profile / flo rae Pressure op Fricio facor Pump poer Rheological Parameers

More information

Fluctuation and Flow Probes of Early-Time Correlations

Fluctuation and Flow Probes of Early-Time Correlations Flucuaio ad Flow Probes of Early-Time Correlaios WPCF 0 Frakfur am Mai, Seember 0 George Moschelli Frakfur Isiue for Adaced Sudies & Sea Gai Waye Sae Uiersiy Moiaio Two Paricle Correlaios: d d d Pair Disribuio

More information

The universal vector. Open Access Journal of Mathematical and Theoretical Physics [ ] Introduction [ ] ( 1)

The universal vector. Open Access Journal of Mathematical and Theoretical Physics [ ] Introduction [ ] ( 1) Ope Access Joural of Mahemaical ad Theoreical Physics Mii Review The uiversal vecor Ope Access Absrac This paper akes Asroheology mahemaics ad pus some of i i erms of liear algebra. All of physics ca be

More information

Using Linnik's Identity to Approximate the Prime Counting Function with the Logarithmic Integral

Using Linnik's Identity to Approximate the Prime Counting Function with the Logarithmic Integral Usig Lii's Ideiy o Approimae he Prime Couig Fucio wih he Logarihmic Iegral Naha McKezie /26/2 aha@icecreambreafas.com Summary:This paper will show ha summig Lii's ideiy from 2 o ad arragig erms i a cerai

More information

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

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

More information

6/10/2014. Definition. Time series Data. Time series Graph. Components of time series. Time series Seasonal. Time series Trend

6/10/2014. Definition. Time series Data. Time series Graph. Components of time series. Time series Seasonal. Time series Trend 6//4 Defiiio Time series Daa A ime series Measures he same pheomeo a equal iervals of ime Time series Graph Compoes of ime series 5 5 5-5 7 Q 7 Q 7 Q 3 7 Q 4 8 Q 8 Q 8 Q 3 8 Q 4 9 Q 9 Q 9 Q 3 9 Q 4 Q Q

More information

6.003: Signals and Systems Lecture 20 April 22, 2010

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

More information

Theoretical Physics Prof. Ruiz, UNC Asheville, doctorphys on YouTube Chapter R Notes. Convolution

Theoretical Physics Prof. Ruiz, UNC Asheville, doctorphys on YouTube Chapter R Notes. Convolution Theoreical Physics Prof Ruiz, UNC Asheville, docorphys o YouTube Chaper R Noes Covoluio R1 Review of he RC Circui The covoluio is a "difficul" cocep o grasp So we will begi his chaper wih a review of he

More information

NARAYANA. C o m m o n P r a c t i c e T e s t 1 2 XII STD BATCHES [CF] Date: PHYSICS CHEMISTRY MATHEMATICS 18. (A) 33. (C) 48. (B) 63.

NARAYANA. C o m m o n P r a c t i c e T e s t 1 2 XII STD BATCHES [CF] Date: PHYSICS CHEMISTRY MATHEMATICS 18. (A) 33. (C) 48. (B) 63. NARAYANA I I T / N E E T A C A D E M Y. (D). (A). (D). (A). (C). (B) 7. (C) 8. (A) 9. (B) 0. (C). (B). (C). (B). (C). (D) C o m m o P r a c i c e T e s XII STD BATCES [CF] Dae: 0.07.7 ANSWER PYSICS CEMISTRY

More information

Comparison between Fourier and Corrected Fourier Series Methods

Comparison between Fourier and Corrected Fourier Series Methods Malaysia Joural of Mahemaical Scieces 7(): 73-8 (13) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Joural homepage: hp://eispem.upm.edu.my/oural Compariso bewee Fourier ad Correced Fourier Series Mehods 1

More information

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory Liear Time-Ivaria Sysems (LTI Sysems) Oulie Basic Sysem Properies Memoryless ad sysems wih memory (saic or dyamic) Causal ad o-causal sysems (Causaliy) Liear ad o-liear sysems (Lieariy) Sable ad o-sable

More information

( ) ( ) ( ) ( ) (b) (a) sin. (c) sin sin 0. 2 π = + (d) k l k l (e) if x = 3 is a solution of the equation x 5x+ 12=

( ) ( ) ( ) ( ) (b) (a) sin. (c) sin sin 0. 2 π = + (d) k l k l (e) if x = 3 is a solution of the equation x 5x+ 12= Eesio Mahemaics Soluios HSC Quesio Oe (a) d 6 si 4 6 si si (b) (c) 7 4 ( si ).si +. ( si ) si + 56 (d) k + l ky + ly P is, k l k l + + + 5 + 7, + + 5 9, ( 5,9) if is a soluio of he equaio 5+ Therefore

More information

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003 ODEs II, Suppleme o Lecures 6 & 7: The Jorda Normal Form: Solvig Auoomous, Homogeeous Liear Sysems April 2, 23 I his oe, we describe he Jorda ormal form of a marix ad use i o solve a geeral homogeeous

More information

Dissipative Relativistic Bohmian Mechanics

Dissipative Relativistic Bohmian Mechanics [arxiv 1711.0446] Dissipaive Relaivisic Bohmia Mechaics Roume Tsekov Deparme of Physical Chemisry, Uiversiy of Sofia, 1164 Sofia, Bulgaria I is show ha quaum eagleme is he oly force able o maiai he fourh

More information

Linear Time-invariant systems, Convolution, and Cross-correlation

Linear 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 information

Reading 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.

Reading 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 information

Conditional Probability and Conditional Expectation

Conditional Probability and Conditional Expectation Hadou #8 for B902308 prig 2002 lecure dae: 3/06/2002 Codiioal Probabiliy ad Codiioal Epecaio uppose X ad Y are wo radom variables The codiioal probabiliy of Y y give X is } { }, { } { X P X y Y P X y Y

More information

In this section we will study periodic signals in terms of their frequency f t is said to be periodic if (4.1)

In this section we will study periodic signals in terms of their frequency f t is said to be periodic if (4.1) Fourier Series Iroducio I his secio we will sudy periodic sigals i ers o heir requecy is said o be periodic i coe Reid ha a sigal ( ) ( ) ( ) () or every, where is a uber Fro his deiiio i ollows ha ( )

More information

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

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

More information

N! AND THE GAMMA FUNCTION

N! AND THE GAMMA FUNCTION N! AND THE GAMMA FUNCTION Cosider he produc of he firs posiive iegers- 3 4 5 6 (-) =! Oe calls his produc he facorial ad has ha produc of he firs five iegers equals 5!=0. Direcly relaed o he discree! fucio

More information

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4)

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4) 7 Differeial equaios Review Solve by he mehod of udeermied coefficies ad by he mehod of variaio of parameers (4) y y = si Soluio; we firs solve he homogeeous equaio (4) y y = 4 The correspodig characerisic

More information

Page 1. Before-After Control-Impact (BACI) Power Analysis For Several Related Populations. Richard A. Hinrichsen. March 3, 2010

Page 1. Before-After Control-Impact (BACI) Power Analysis For Several Related Populations. Richard A. Hinrichsen. March 3, 2010 Page Before-Afer Corol-Impac BACI Power Aalysis For Several Relaed Populaios Richard A. Hirichse March 3, Cavea: This eperimeal desig ool is for a idealized power aalysis buil upo several simplifyig assumpios

More information

Circuit Variables. AP 1.1 Use a product of ratios to convert two-thirds the speed of light from meters per second to miles per second: 1 ft 12 in

Circuit Variables. AP 1.1 Use a product of ratios to convert two-thirds the speed of light from meters per second to miles per second: 1 ft 12 in Circui Variables 1 Assessmen Problems AP 1.1 Use a produc of raios o conver wo-hirds he speed of ligh from meers per second o miles per second: ( ) 2 3 1 8 m 3 1 s 1 cm 1 m 1 in 2.54 cm 1 f 12 in 1 mile

More information

Outline. simplest HMM (1) simple HMMs? simplest HMM (2) Parameter estimation for discrete hidden Markov models

Outline. simplest HMM (1) simple HMMs? simplest HMM (2) Parameter estimation for discrete hidden Markov models Oulie Parameer esimaio for discree idde Markov models Juko Murakami () ad Tomas Taylor (2). Vicoria Uiversiy of Welligo 2. Arizoa Sae Uiversiy Descripio of simple idde Markov models Maximum likeliood esimae

More information