ECEN 5005 Crystals, Nanocrystals and Device Applications Class 14 Group Theory For Crystals

Size: px
Start display at page:

Download "ECEN 5005 Crystals, Nanocrystals and Device Applications Class 14 Group Theory For Crystals"

Transcription

1 ECEN 5005 Cryta Naocryta ad Dvic Appicatio Ca 14 Group Thory For Cryta Spi Aguar Motu Quatu Stat of Hydrog-ik Ato Sig Ectro Cryta Fid Thory Fu Rotatio Group 1

2 Spi Aguar Motu Spi itriic aguar otu of ctro (or othr icrocopic partic) which i aociatd with it agtic ot. - Thi do NOT a ctro ar actuay piig. Spi tr ito th Haitoia through (1) pi-orbit itractio tr ζ( r ) () Za itractio tr ( / ) B agtic fid B. wh thr i a xtra Th pi aguar otu oprator bhav iiary to th orbita aguar otu oprator ad ca b charactrizd by quatu ubr ad. χ ( + 1) z χ χ whr χ i th pi wavfuctio. Th oy aowd vau for i ½ ad ca b ithr +½ or ½. Th tat with +½ i oti cad th pi-up tat ad ½ th pi-dow tat. Sic both ad z do ot dpd o ay patia coordiat thy cout with H ad z. Thrfor w ca add two or quatu ubr ad which rprt th agitud of pi aguar otu ad z-copot of pi aguar otu rpctivy. χ

3 Quatu Stat of Hydrog-ik Ato Th copt wavfuctio i ow th product of th patia wavfuctio Ψ ad th pi wavfuctio χ. Φ Ψ( r θ φ)χ W ow hav a t of FIVE quatu ubr ( ) to dcrib th quatu tat of a ctro i a hydrog-ik ato. - I ordr to ditiguih btw th quatu ubr rprtig z a z w add ubcript ad to th quatu ubr dcribig z ad z rpctivy. - So w hav for z ad for z. Bra-kt otatio: Sic w ca u th quatu ubr to pcify a quatu tat w o ogr d to xpicity writ out th wavfuctio thv. Itad w jut writ out th quatu ubr for th giv tat i uch a forat a or. i cad bra ad i cad kt. - - Bra ad kt ar copx cojugat to ach othr. - It ca ao b ud to xpr ir product * Φ Φ dr 3 3

4 Quatu Stat of Hydrog-ik Ato W ca ow rwrit th igvau quatio uig bra-kt otatio: ( ) ( ) z z o Z E E H ε π Lt u ow coidr th dgracy i a hydrog-ik ato. - Th rgy dpd oy o th pricipa quatu ubr. - For ach thr ar diffrt aowd vau of. : For ach pair of ad thr ar (+1) diffrt vau aowd for. : (-1) (-) -(-1) -. - For ach ad thr ar two aowd vau +½ or ½. - Thrfor thr ar a tota of (+1) tat for ach rgy v pcifid by. Thi i quivat to ay that thr i a (+1)-diioa vctor pac for ach t of () vau ad th (+1) fuctio for a orthoora bai t. 4

5 Ergy Lv of Hydrog-ik Ato Not tat 0 p tat 1 d tat Spctrocopic otatio: 1 p 3d tc. 5

6 Appicatio of Group Thory to Hydrog-ik Ato I tr of group thory th hydrog-ik ato i aid to po th fu rotatio ytry. That i it i ivariat udr a rotatio i 3-diioa pac. Thrfor th quatu tat of hydrog-ik ato ca b rprtd by th irrducib rprtatio of th fu rotatio group ad thir bai fuctio (or row ubr). It tur out that w ca cotruct irrducib rprtatio of th fu rotatio group uig th phrica haroic Y a th bai fuctio. - For a giv vau of thr ar (+1) Y fuctio with diffrt vau of. - Th fuctio for a bai t for a (+1)-diioa irrducib rprtatio. - Thrfor th aguar otu quatu ubr ca b rgardd a a idx to irrducib rprtatio which corrpod a ditict (+1)-fod dgrat rgy v. - Each vau of pcifi th bai fuctio or th row ubr withi th irrducib rprtatio. - Howvr th tat with diffrt but th a hav th a rgy. accidta dgracy. - Th group of a rotatio i 3D pac i a ifiit group uuay dotd by SO(3). 6

7 Sig-Ectro Cryta Fid Thory Suppo th ato (or io) i ow pacd iid a cryta. Th fu rotatio ytry i th rducd to a poit group ytry of th cryta. Lt u coidr a our firt xap a io cotaiig a ig ctro i th p tat i th outrot h. If thr i o xtra fid th ctroic tat ca b w dcribd by th hydrog-ik ato od. p tat corrpod to 1. - Spctrocopic otatio covtio: : 0 p : 1 d : f : 3 Th p tat cotai thr dgrat tat (or orbita) corrpodig to Th radia part of th wavfuctio i proportioa to r. - Th aguar part of th wavfuctio ar: Y π iφ i θ Y 10 3 coθ 4π Y π - W ca th cotruct 3 wavfuctio i th for of f(r)x f(r)y ad f(r)z. iφ i θ - Th orbita ar oft rfrrd to a p x p y ad p z bcau of th hap of thir wavfuctio. 7

8 Sig-Ectro Cryta Fid Thory Th ctro ca occupy ay of th 3 avaiab orbita i th p-h which ar dgrat. Suppo thi io i pacd i a cryta i which it i urroudd by 6 octahdray coordiatd io (.g. i a ip cubic tructur). Th ctroic wavfuctio ad thir rgy v wi b chagd du to th cryta fid. Howvr by ituitio w ca that a thr p-orbita ar affctd by th cryta fid i th a way a how bow. I othr word th cryta ytry do ot ditiguih th thr orbita of th p tat. Thy wi rai dgrat. 8

9 Sig p-ectro i a Cryta Fid W ca u th group thory to cofir our ituitio. I tr of ytry th fr io po fu rotatioa ytry. I th octahdra cryta th fu rotatioa ytry i rducd to th octahdra ytry O h. To do thi w u th rductio forua obtaid i Ca 6. a i 1 h R χ i) * ( i) ( R) χ ( R) N χ( C ) χ ( C ) ( 1 I ordr to u th rductio forua w d to kow th charactr χ(c k ) ad χ (i) (C k ) of th fu rotatio group ad th octahdra group. Not that C k ar th ca of th octahdra group. W kow th charactr of th fu octahdra group O h. - Th charactr tab for O i avaiab i th itratur. h - Th fu octahdra group O h O i - Thrfor th charactr tab for O h i: E 8C 3 3C 6C' 6C 4 i 8iC 3 3iC 6iC' 6iC 4 A 1g A g E g T 1g T g A 1u A u E u T 1u T u k k k k * 9

10 Fu Rotatio Group I ordr to fid th charactr χ(c k ) for th fu rotatio group w brify dicu th irrducib rprtatio of th fu rotatio group. Th fu rotatio group i obviouy a ifiit group. - Rotatio by th a ag (about whatvr ax) for a ca. - Thr ar ifiit ca ach of which cotai ifiit ubr of rotatio. - Thrfor thr ar ifiit irrducib rprtatio. W ca cotruct a (+1)-diioa irrducib rprtatio by uig th phrica haroic Y (θφ) a bai fuctio. - Y (θφ) i ao th wavfuctio of hydrog-ik ato. - Thr ar (+1) fuctio for giv. - Each rprt a irrducib rprtatio. It i o accidt that th outio of hydrog-ik ato i ao foud to b th bai fuctio of th irrducib rprtatio of th fu rotatio group. - Hydrog-ik ato po fu rotatio ytry. - Thrfor ach rgy v of th hydrog-ik ato ca b rprtd by a irrducib rprtatio of th fu rotatio group. 10

11 Fu Rotatio Group For th fu rotatio group - Th aguar otu quatu ubr tur out to b th irrducib rprtatio idx. - Each irrducib rprtatio D () i (+1)-diioa ad thu ha (+1) orthoora bai fuctio. - Each of th bai fuctio corrpod to diffrc vau. (For ow w oit th ubcript ). - Th dgracy btw th tat with diffrt vau but th a i accidta dgracy. Lt ow try to fid th charactr χ(c k ) of th irrducib rprtatio D (). - Sic a rotatio by th a ag for a ca w oy coidr th rotatio about th z-axi. - Appy rotatio P α by a ag α about z-axi o Y (θφ) P ( θ φ) ( θ φ α) α Y Y Rca th dfiitio of phrica haroic fuctio; Y ( + 1)( )! 4π( + )! iφ ( θ φ) ( 1) P ( θ) whr P (θ) i th aociat Lgdr poyoia. Thrfor w ow hav P iα ( θ φ) Y ( θ φ α) Y ( θ φ) α Y 11

12 Fu Rotatio Group W ow cotruct th (+1)-diioa rprtatio atrix D () (α) for th rotatio P α about th z-axi uig th Y (θφ) bai fuctio. - Each row ad cou of th atrix i abd by th (+1) aowd vau of. iα - Matrix t Y Pα Y δ. - D ( ) ( α) i 0 α - Th charactr i - For p tat χ ( ) ( α) i( 1) α ( 1) χ ( α) iα 0 iα i i i i ( + 1/ ) ( α / ) ( 3α / ) ( α / ) α 1

13 Fu Rotatio Group Sic th fu octahdra group O h ao cotai th ivrio opratio i additio to th ip rotatio w d to fid charactr χ (1) for ivrio ad ivrio-rotatio opratio. Firt t u cotruct th atrix for ivrio. Y - Appy ivrio P i o Y (θφ) P Y i ( θ φ) Y ( π θ φ + π) + P 1 ) - U th kow proprty of P (θ): ( π θ) ( ) P (θ - W th fid i( φ+π) + iφ ( π θ φ + π) P ( π θ) ( 1) P ( θ) ( 1) Y ( θ φ) Y P Y δ 1. - Matrix t i ( ) - D ( ) () i ( 1) 0 - Th charactr i - For th p v: χ ( ) ( 1) 0 ( 1) () i ( 1) ( 1)( + 1) ( 1) χ ( i) ( 1) 1 ( 1+ 1) 3 13

14 Fu Rotatio Group Fiay w arch for th charactr for ivrio-rotatio opratio. Appy ivrio P i ad rotatio P α qutiay o Y (θφ) P P Y i ( θ φ) Y ( π θ φ + π α) α Not th ordr of opratio i ot iportat ad ao w ca choo z-axi a th rotatio axi a bfor. + Oc agai w u ( π θ) ( ) P ( θ) Y P 1 to fid: ( π θ φ + π α) P ( π θ) i( φ+π α) + iα iφ iα ( 1) P ( θ) ( 1) Y ( θ φ) - Matrix t i α ( ) - D ( ) ( iα) ( 1) - Th charactr i χ ( ) - For th p v: 0 iα Y PP Y δ iα ( 1) 1. i( 1) α iα ( iα) ( 1) ( 1) ( ) ( 1) χ iα i i i i ( 3α / ) ( α / ) 0 ( ) iα 1 ( + 1/ ) ( α / ) α 14

Chemistry 342 Spring, The Hydrogen Atom.

Chemistry 342 Spring, The Hydrogen Atom. Th Hyrogn Ato. Th quation. Th first quation w want to sov is φ This quation is of faiiar for; rca that for th fr partic, w ha ψ x for which th soution is Sinc k ψ ψ(x) a cos kx a / k sin kx ± ix cos x

More information

Session : Plasmas in Equilibrium

Session : Plasmas in Equilibrium Sssio : Plasmas i Equilibrium Ioizatio ad Coductio i a High-prssur Plasma A ormal gas at T < 3000 K is a good lctrical isulator, bcaus thr ar almost o fr lctros i it. For prssurs > 0.1 atm, collisio amog

More information

Spin(calori)tronics = spin+heat+electronics

Spin(calori)tronics = spin+heat+electronics Spi(calori)troic = pi+hat+lctroic Grrit aur Sdai 仙台 Populatio:.046 illio Grrit E.W. aur Grrit aur Tohoku Uivrity ( 東北 学 ) Udrgraduat,094 Potgraduat 7,704 itratioal tudt,346 ctur DC Magtolctroic i. dfiitio

More information

Today s topic 2 = Setting up the Hydrogen Atom problem. Schematic of Hydrogen Atom

Today s topic 2 = Setting up the Hydrogen Atom problem. Schematic of Hydrogen Atom Today s topic Sttig up th Hydog Ato pobl Hydog ato pobl & Agula Motu Objctiv: to solv Schödig quatio. st Stp: to dfi th pottial fuctio Schatic of Hydog Ato Coulob s aw - Z 4ε 4ε fo H ato Nuclus Z What

More information

Previous knowlegde required. Spherical harmonics and some of their properties. Angular momentum. References. Angular momentum operators

Previous knowlegde required. Spherical harmonics and some of their properties. Angular momentum. References. Angular momentum operators // vious owg ui phica haoics a so o thi poptis Goup thoy Quatu chaics pctoscopy H. Haga 8 phica haoics Rcs Bia. iv «Iucib Tso thos A Itouctio o chists» Acaic ss D.A. c Quai.D. io «hii hysiu Appoch oécuai»

More information

DTFT Properties. Example - Determine the DTFT Y ( e ) of n. Let. We can therefore write. From Table 3.1, the DTFT of x[n] is given by 1

DTFT Properties. Example - Determine the DTFT Y ( e ) of n. Let. We can therefore write. From Table 3.1, the DTFT of x[n] is given by 1 DTFT Proprtis Exampl - Dtrmi th DTFT Y of y α µ, α < Lt x α µ, α < W ca thrfor writ y x x From Tabl 3., th DTFT of x is giv by ω X ω α ω Copyright, S. K. Mitra Copyright, S. K. Mitra DTFT Proprtis DTFT

More information

ELG3150 Assignment 3

ELG3150 Assignment 3 ELG350 Aigmt 3 Aigmt 3: E5.7; P5.6; P5.6; P5.9; AP5.; DP5.4 E5.7 A cotrol ytm for poitioig th had of a floppy dik driv ha th clodloop trafr fuctio 0.33( + 0.8) T ( ) ( + 0.6)( + 4 + 5) Plot th pol ad zro

More information

07 - SEQUENCES AND SERIES Page 1 ( Answers at he end of all questions ) b, z = n

07 - SEQUENCES AND SERIES Page 1 ( Answers at he end of all questions ) b, z = n 07 - SEQUENCES AND SERIES Pag ( Aswrs at h d of all qustios ) ( ) If = a, y = b, z = c, whr a, b, c ar i A.P. ad = 0 = 0 = 0 l a l

More information

Narayana IIT Academy

Narayana IIT Academy INDIA Sc: LT-IIT-SPARK Dat: 9--8 6_P Max.Mars: 86 KEY SHEET PHYSIS A 5 D 6 7 A,B 8 B,D 9 A,B A,,D A,B, A,B B, A,B 5 A 6 D 7 8 A HEMISTRY 9 A B D B B 5 A,B,,D 6 A,,D 7 B,,D 8 A,B,,D 9 A,B, A,B, A,B,,D A,B,

More information

Worksheet: Taylor Series, Lagrange Error Bound ilearnmath.net

Worksheet: Taylor Series, Lagrange Error Bound ilearnmath.net Taylor s Thorm & Lagrag Error Bouds Actual Error This is th ral amout o rror, ot th rror boud (worst cas scario). It is th dirc btw th actual () ad th polyomial. Stps:. Plug -valu ito () to gt a valu.

More information

Source code. where each α ij is a terminal or nonterminal symbol. We say that. α 1 α m 1 Bα m+1 α n α 1 α m 1 β 1 β p α m+1 α n

Source code. where each α ij is a terminal or nonterminal symbol. We say that. α 1 α m 1 Bα m+1 α n α 1 α m 1 β 1 β p α m+1 α n Adminitrivia Lctur : Paring If you do not hav a group, pla pot a rqut on Piazzza ( th Form projct tam... itm. B ur to updat your pot if you find on. W will aign orphan to group randomly in a fw day. Programming

More information

Lecture 4: Parsing. Administrivia

Lecture 4: Parsing. Administrivia Adminitrivia Lctur 4: Paring If you do not hav a group, pla pot a rqut on Piazzza ( th Form projct tam... itm. B ur to updat your pot if you find on. W will aign orphan to group randomly in a fw day. Programming

More information

Module 3 : Analysis of Strain

Module 3 : Analysis of Strain Mod/Lsso Mod : Aasis of trai.. INTROUCTION T o dfi ora strai rfr to th fooi Fir. hr i AB of a aia oadd br has sffrd dforatio to bco A B. Fir. Aia oadd bar Th th of AB is. As sho i Fir.(b) poits A ad B

More information

Ordinary Differential Equations

Ordinary Differential Equations Ordiary Diffrtial Equatio Aftr radig thi chaptr, you hould b abl to:. dfi a ordiary diffrtial quatio,. diffrtiat btw a ordiary ad partial diffrtial quatio, ad. Solv liar ordiary diffrtial quatio with fid

More information

Motivation. We talk today for a more flexible approach for modeling the conditional probabilities.

Motivation. We talk today for a more flexible approach for modeling the conditional probabilities. Baysia Ntworks Motivatio Th coditioal idpdc assuptio ad by aïv Bays classifirs ay s too rigid spcially for classificatio probls i which th attributs ar sowhat corrlatd. W talk today for a or flibl approach

More information

They must have different numbers of electrons orbiting their nuclei. They must have the same number of neutrons in their nuclei.

They must have different numbers of electrons orbiting their nuclei. They must have the same number of neutrons in their nuclei. 37 1 How may utros ar i a uclus of th uclid l? 20 37 54 2 crtai lmt has svral isotops. Which statmt about ths isotops is corrct? Thy must hav diffrt umbrs of lctros orbitig thir ucli. Thy must hav th sam

More information

Intro to QM due: February 8, 2019 Problem Set 12

Intro to QM due: February 8, 2019 Problem Set 12 Intro to QM du: Fbruary 8, 9 Prob St Prob : Us [ x i, p j ] i δ ij to vrify that th anguar ontu oprators L i jk ɛ ijk x j p k satisfy th coutation rations [ L i, L j ] i k ɛ ijk Lk, [ L i, x j ] i k ɛ

More information

How many neutrino species?

How many neutrino species? ow may utrio scis? Two mthods for dtrmii it lium abudac i uivrs At a collidr umbr of utrio scis Exasio of th uivrs is ovrd by th Fridma quatio R R 8G tot Kc R Whr: :ubblcostat G :Gravitatioal costat 6.

More information

Chapter 2 Infinite Series Page 1 of 11. Chapter 2 : Infinite Series

Chapter 2 Infinite Series Page 1 of 11. Chapter 2 : Infinite Series Chatr Ifiit Sris Pag of Sctio F Itgral Tst Chatr : Ifiit Sris By th d of this sctio you will b abl to valuat imror itgrals tst a sris for covrgc by alyig th itgral tst aly th itgral tst to rov th -sris

More information

1985 AP Calculus BC: Section I

1985 AP Calculus BC: Section I 985 AP Calculus BC: Sctio I 9 Miuts No Calculator Nots: () I this amiatio, l dots th atural logarithm of (that is, logarithm to th bas ). () Ulss othrwis spcifid, th domai of a fuctio f is assumd to b

More information

Discrete Fourier Series and Transforms

Discrete Fourier Series and Transforms Lctur 4 Outi: Discrt Fourir Sris ad Trasforms Aoucmts: H 4 postd, du Tus May 8 at 4:3pm. o at Hs as soutios wi b avaiab immdiaty. Midtrm dtais o t pag H 5 wi b postd Fri May, du foowig Fri (as usua) Rviw

More information

How many neutrons does this aluminium atom contain? A 13 B 14 C 27 D 40

How many neutrons does this aluminium atom contain? A 13 B 14 C 27 D 40 alumiium atom has a uclo umbr of 7 ad a roto umbr of 3. How may utros dos this alumiium atom cotai? 3 4 7 40 atom of lmt Q cotais 9 lctros, 9 rotos ad 0 utros. What is Q? calcium otassium strotium yttrium

More information

Chapter Five. More Dimensions. is simply the set of all ordered n-tuples of real numbers x = ( x 1

Chapter Five. More Dimensions. is simply the set of all ordered n-tuples of real numbers x = ( x 1 Chatr Fiv Mor Dimsios 51 Th Sac R W ar ow rard to mov o to sacs of dimsio gratr tha thr Ths sacs ar a straightforward gralizatio of our Euclida sac of thr dimsios Lt b a ositiv itgr Th -dimsioal Euclida

More information

Probability & Statistics,

Probability & Statistics, Probability & Statistics, BITS Pilai K K Birla Goa Campus Dr. Jajati Kshari Sahoo Dpartmt of Mathmatics BITS Pilai, K K Birla Goa Campus Poisso Distributio Poisso Distributio: A radom variabl X is said

More information

z 1+ 3 z = Π n =1 z f() z = n e - z = ( 1-z) e z e n z z 1- n = ( 1-z/2) 1+ 2n z e 2n e n -1 ( 1-z )/2 e 2n-1 1-2n -1 1 () z

z 1+ 3 z = Π n =1 z f() z = n e - z = ( 1-z) e z e n z z 1- n = ( 1-z/2) 1+ 2n z e 2n e n -1 ( 1-z )/2 e 2n-1 1-2n -1 1 () z Sris Expasio of Rciprocal of Gamma Fuctio. Fuctios with Itgrs as Roots Fuctio f with gativ itgrs as roots ca b dscribd as follows. f() Howvr, this ifiit product divrgs. That is, such a fuctio caot xist

More information

Superfluid Liquid Helium

Superfluid Liquid Helium Surfluid Liquid Hlium:Bo liquid ad urfluidity Ladau thory: two fluid modl Bo-iti Codatio ad urfluid ODLRO, otaou ymmtry brakig, macrocoic wafuctio Gro-Pitakii GP quatio Fyma ictur Rfrc: Thory of quatum

More information

Linear Algebra Existence of the determinant. Expansion according to a row.

Linear Algebra Existence of the determinant. Expansion according to a row. Lir Algbr 2270 1 Existc of th dtrmit. Expsio ccordig to row. W dfi th dtrmit for 1 1 mtrics s dt([]) = (1) It is sy chck tht it stisfis D1)-D3). For y othr w dfi th dtrmit s follows. Assumig th dtrmit

More information

Basic Polyhedral theory

Basic Polyhedral theory Basic Polyhdral thory Th st P = { A b} is calld a polyhdron. Lmma 1. Eithr th systm A = b, b 0, 0 has a solution or thr is a vctorπ such that π A 0, πb < 0 Thr cass, if solution in top row dos not ist

More information

u 3 = u 3 (x 1, x 2, x 3 )

u 3 = u 3 (x 1, x 2, x 3 ) Lctur 23: Curvilinar Coordinats (RHB 8.0 It is oftn convnint to work with variabls othr than th Cartsian coordinats x i ( = x, y, z. For xampl in Lctur 5 w mt sphrical polar and cylindrical polar coordinats.

More information

8(4 m0) ( θ ) ( ) Solutions for HW 8. Chapter 25. Conceptual Questions

8(4 m0) ( θ ) ( ) Solutions for HW 8. Chapter 25. Conceptual Questions Solutios for HW 8 Captr 5 Cocptual Qustios 5.. θ dcrass. As t crystal is coprssd, t spacig d btw t plas of atos dcrass. For t first ordr diffractio =. T Bragg coditio is = d so as d dcrass, ust icras for

More information

The Real Hydrogen Atom

The Real Hydrogen Atom T Ra Hydog Ato ov ad i fist od gt iddt of :.6V a us tubatio toy to dti: agti ffts si-obit ad yfi -A ativisti otios Aso av ab sift du to to sfitatio. Nd QD Dia q. ad dds o H wavfutio at sou of ti fid. Vy

More information

NET/JRF, GATE, IIT JAM, JEST, TIFR

NET/JRF, GATE, IIT JAM, JEST, TIFR Istitut for NET/JRF, GATE, IIT JAM, JEST, TIFR ad GRE i PHYSICAL SCIENCES Mathmatical Physics JEST-6 Q. Giv th coditio φ, th solutio of th quatio ψ φ φ is giv by k. kφ kφ lφ kφ lφ (a) ψ (b) ψ kφ (c) ψ

More information

Addition of angular momentum

Addition of angular momentum Addition of angular momntum April, 0 Oftn w nd to combin diffrnt sourcs of angular momntum to charactriz th total angular momntum of a systm, or to divid th total angular momntum into parts to valuat th

More information

Addition of angular momentum

Addition of angular momentum Addition of angular momntum April, 07 Oftn w nd to combin diffrnt sourcs of angular momntum to charactriz th total angular momntum of a systm, or to divid th total angular momntum into parts to valuat

More information

Discrete Fourier Transform. Nuno Vasconcelos UCSD

Discrete Fourier Transform. Nuno Vasconcelos UCSD Discrt Fourir Trasform uo Vascoclos UCSD Liar Shift Ivariat (LSI) systms o of th most importat cocpts i liar systms thory is that of a LSI systm Dfiitio: a systm T that maps [ ito y[ is LSI if ad oly if

More information

[ ] 1+ lim G( s) 1+ s + s G s s G s Kacc SYSTEM PERFORMANCE. Since. Lecture 10: Steady-state Errors. Steady-state Errors. Then

[ ] 1+ lim G( s) 1+ s + s G s s G s Kacc SYSTEM PERFORMANCE. Since. Lecture 10: Steady-state Errors. Steady-state Errors. Then SYSTEM PERFORMANCE Lctur 0: Stady-tat Error Stady-tat Error Lctur 0: Stady-tat Error Dr.alyana Vluvolu Stady-tat rror can b found by applying th final valu thorm and i givn by lim ( t) lim E ( ) t 0 providd

More information

u t u 0 ( 7) Intuitively, the maximum principles can be explained by the following observation. Recall

u t u 0 ( 7) Intuitively, the maximum principles can be explained by the following observation. Recall Oct. Heat Equatio M aximum priciple I thi lecture we will dicu the maximum priciple ad uiquee of olutio for the heat equatio.. Maximum priciple. The heat equatio alo ejoy maximum priciple a the Laplace

More information

Introduction to Quantum Information Processing. Overview. A classical randomised algorithm. q 3,3 00 0,0. p 0,0. Lecture 10.

Introduction to Quantum Information Processing. Overview. A classical randomised algorithm. q 3,3 00 0,0. p 0,0. Lecture 10. Itroductio to Quatum Iformatio Procssig Lctur Michl Mosca Ovrviw! Classical Radomizd vs. Quatum Computig! Dutsch-Jozsa ad Brsti- Vazirai algorithms! Th quatum Fourir trasform ad phas stimatio A classical

More information

3.1 Atomic Structure and The Periodic Table

3.1 Atomic Structure and The Periodic Table Sav My Exams! Th Hom of Rvisio For mor awsom GSE ad lvl rsourcs, visit us at www.savmyxams.co.uk/ 3. tomic Structur ad Th Priodic Tabl Qustio Par Lvl IGSE Subjct hmistry (060) Exam oard ambridg Itratioal

More information

Partition Functions and Ideal Gases

Partition Functions and Ideal Gases Partitio Fuctios ad Idal Gass PFIG- You v lard about partitio fuctios ad som uss ow w ll xplor tm i mor dpt usig idal moatomic diatomic ad polyatomic gass! for w start rmmbr: Q( N ( N! N Wat ar N ad? W

More information

A Review of Complex Arithmetic

A Review of Complex Arithmetic /0/005 Rviw of omplx Arithmti.do /9 A Rviw of omplx Arithmti A omplx valu has both a ral ad imagiary ompot: { } ad Im{ } a R b so that w a xprss this omplx valu as: whr. a + b Just as a ral valu a b xprssd

More information

PURE MATHEMATICS A-LEVEL PAPER 1

PURE MATHEMATICS A-LEVEL PAPER 1 -AL P MATH PAPER HONG KONG EXAMINATIONS AUTHORITY HONG KONG ADVANCED LEVEL EXAMINATION PURE MATHEMATICS A-LEVEL PAPER 8 am am ( hours) This papr must b aswrd i Eglish This papr cosists of Sctio A ad Sctio

More information

6.3 Testing Series With Positive Terms

6.3 Testing Series With Positive Terms 6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial

More information

Washington State University

Washington State University he 3 Ktics ad Ractor Dsig Sprg, 00 Washgto Stat Uivrsity Dpartmt of hmical Egrg Richard L. Zollars Exam # You will hav o hour (60 muts) to complt this xam which cosists of four (4) problms. You may us

More information

NEW VERSION OF SZEGED INDEX AND ITS COMPUTATION FOR SOME NANOTUBES

NEW VERSION OF SZEGED INDEX AND ITS COMPUTATION FOR SOME NANOTUBES Digst Joural of Naomatrials ad Biostructurs Vol 4, No, March 009, p 67-76 NEW VERSION OF SZEGED INDEX AND ITS COMPUTATION FOR SOME NANOTUBES A IRANMANESH a*, O KHORMALI b, I NAJAFI KHALILSARAEE c, B SOLEIMANI

More information

Consider serial transmission. In Proakis notation, we receive

Consider serial transmission. In Proakis notation, we receive 5..3 Dciio-Dirctd Pha Trackig [P 6..4] 5.-1 Trackr commoly work o radom data igal (plu oi), o th kow-igal modl do ot apply. W till kow much about th tructur o th igal, though, ad w ca xploit it. Coidr

More information

Law of large numbers

Law of large numbers Law of larg umbrs Saya Mukhrj W rvisit th law of larg umbrs ad study i som dtail two typs of law of larg umbrs ( 0 = lim S ) p ε ε > 0, Wak law of larrg umbrs [ ] S = ω : lim = p, Strog law of larg umbrs

More information

The Asymptotic Form of Eigenvalues for a Class of Sturm-Liouville Problem with One Simple Turning Point. A. Jodayree Akbarfam * and H.

The Asymptotic Form of Eigenvalues for a Class of Sturm-Liouville Problem with One Simple Turning Point. A. Jodayree Akbarfam * and H. Joral of Scic Ilaic Rpblic of Ira 5(: -9 ( Uirity of Thra ISSN 6- Th Ayptotic For of Eigal for a Cla of Str-Lioill Probl with O Sipl Trig Poit A. Jodayr Abarfa * ad H. Khiri Faclty of Mathatical Scic Tabriz

More information

Comparisons of the Variance of Predictors with PPS sampling (update of c04ed26.doc) Ed Stanek

Comparisons of the Variance of Predictors with PPS sampling (update of c04ed26.doc) Ed Stanek Coparo o th Varac o Prdctor wth PPS aplg (updat o c04d6doc Ed Sta troducto W copar prdctor o a PSU a or total bad o PPS aplg Th tratgy to ollow that o Sta ad Sgr (JASA, 004 whr w xpr th prdctor a a lar

More information

Periodic Structures. Filter Design by the Image Parameter Method

Periodic Structures. Filter Design by the Image Parameter Method Prioic Structurs a Filtr sig y th mag Paramtr Mtho ECE53: Microwav Circuit sig Pozar Chaptr 8, Sctios 8. & 8. Josh Ottos /4/ Microwav Filtrs (Chaptr Eight) microwav filtr is a two-port twork us to cotrol

More information

The tight-binding method

The tight-binding method Th tight-idig thod Wa ottial aoach: tat lcto a a ga of aly f coductio lcto. ow aout iulato? ow aout d-lcto? d Tight-idig thod: gad a olid a a collctio of wa itactig utal ato. Ovla of atoic wav fuctio i

More information

Triple Play: From De Morgan to Stirling To Euler to Maclaurin to Stirling

Triple Play: From De Morgan to Stirling To Euler to Maclaurin to Stirling Tripl Play: From D Morga to Stirlig To Eulr to Maclauri to Stirlig Augustus D Morga (186-1871) was a sigificat Victoria Mathmaticia who mad cotributios to Mathmatics History, Mathmatical Rcratios, Mathmatical

More information

Digital Signal Processing, Fall 2006

Digital Signal Processing, Fall 2006 Digital Sigal Procssig, Fall 6 Lctur 9: Th Discrt Fourir Trasfor Zhg-Hua Ta Dpartt of Elctroic Systs Aalborg Uivrsity, Dar zt@o.aau.d Digital Sigal Procssig, I, Zhg-Hua Ta, 6 Cours at a glac MM Discrt-ti

More information

Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform

Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform Discrt Fourir Trasform Dfiitio - T simplst rlatio btw a lt- squc x dfid for ω ad its DTFT X ( ) is ω obtaid by uiformly sampli X ( ) o t ω-axis btw ω < at ω From t dfiitio of t DTFT w tus av X X( ω ) ω

More information

APPENDIX: STATISTICAL TOOLS

APPENDIX: STATISTICAL TOOLS I. Nots o radom samplig Why do you d to sampl radomly? APPENDI: STATISTICAL TOOLS I ordr to masur som valu o a populatio of orgaisms, you usually caot masur all orgaisms, so you sampl a subst of th populatio.

More information

Engineering Differential Equations Practice Final Exam Solutions Fall 2011

Engineering Differential Equations Practice Final Exam Solutions Fall 2011 9.6 Enginring Diffrntial Equation Practic Final Exam Solution Fall 0 Problm. (0 pt.) Solv th following initial valu problm: x y = xy, y() = 4. Thi i a linar d.. bcau y and y appar only to th firt powr.

More information

UNIT 2: MATHEMATICAL ENVIRONMENT

UNIT 2: MATHEMATICAL ENVIRONMENT UNIT : MATHEMATICAL ENVIRONMENT. Itroductio This uit itroducs som basic mathmatical cocpts ad rlats thm to th otatio usd i th cours. Wh ou hav workd through this uit ou should: apprciat that a mathmatical

More information

Solution to 1223 The Evil Warden.

Solution to 1223 The Evil Warden. Solutio to 1 Th Evil Ward. This is o of thos vry rar PoWs (I caot thik of aothr cas) that o o solvd. About 10 of you submittd th basic approach, which givs a probability of 47%. I was shockd wh I foud

More information

MM1. Introduction to State-Space Method

MM1. Introduction to State-Space Method MM Itroductio to Stt-Spc Mthod Wht tt-pc thod? How to gt th tt-pc dcriptio? 3 Proprty Alyi Bd o SS Modl Rdig Mtril: FC: p469-49 C: p- /4/8 Modr Cotrol Wht th SttS tt-spc Mthod? I th tt-pc thod th dyic

More information

3.4 Properties of the Stress Tensor

3.4 Properties of the Stress Tensor cto.4.4 Proprts of th trss sor.4. trss rasformato Lt th compots of th Cauchy strss tsor a coordat systm wth bas vctors b. h compots a scod coordat systm wth bas vctors j,, ar gv by th tsor trasformato

More information

Unit 7 Charge-to-mass ratio of the electron

Unit 7 Charge-to-mass ratio of the electron Unit 7 Charg-to-ass ratio of th lctron Kywords: J. J. Thoson, Lorntz Forc, Magntic Filds Objctiv: Obsrv th rsults of lctron ba influncd by th agntic fild and calculat th charg-to-ass ratio of th lctron.

More information

LECTURE 13 Filling the bands. Occupancy of Available Energy Levels

LECTURE 13 Filling the bands. Occupancy of Available Energy Levels LUR 3 illig th bads Occupacy o Availabl rgy Lvls W hav dtrmid ad a dsity o stats. W also d a way o dtrmiig i a stat is illd or ot at a giv tmpratur. h distributio o th rgis o a larg umbr o particls ad

More information

COHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim.

COHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim. MTH rviw part b Lucian Mitroiu Th LOG and EXP functions Th ponntial function p : R, dfind as Proprtis: lim > lim p Eponntial function Y 8 6 - -8-6 - - X Th natural logarithm function ln in US- log: function

More information

STIRLING'S 1 FORMULA AND ITS APPLICATION

STIRLING'S 1 FORMULA AND ITS APPLICATION MAT-KOL (Baja Luka) XXIV ()(08) 57-64 http://wwwimviblorg/dmbl/dmblhtm DOI: 075/МК80057A ISSN 0354-6969 (o) ISSN 986-588 (o) STIRLING'S FORMULA AND ITS APPLICATION Šfkt Arslaagić Sarajvo B&H Abstract:

More information

coulombs or esu charge. It s mass is about 1/1837 times the mass of hydrogen atom. Thus mass of electron is

coulombs or esu charge. It s mass is about 1/1837 times the mass of hydrogen atom. Thus mass of electron is 1 ATOMIC STRUCTURE Fudamtal Particls: Mai Fudamtal Particl : (a) Elctro: It is a fudamtal particl of a atom which carris a uit gativ charg. It was discovrd by J.J. Thomso (1897) from th studis carrid out

More information

(1) Then we could wave our hands over this and it would become:

(1) Then we could wave our hands over this and it would become: MAT* K285 Spring 28 Anthony Bnoit 4/17/28 Wk 12: Laplac Tranform Rading: Kohlr & Johnon, Chaptr 5 to p. 35 HW: 5.1: 3, 7, 1*, 19 5.2: 1, 5*, 13*, 19, 45* 5.3: 1, 11*, 19 * Pla writ-up th problm natly and

More information

On the approximation of the constant of Napier

On the approximation of the constant of Napier Stud. Uiv. Babş-Bolyai Math. 560, No., 609 64 O th approximatio of th costat of Napir Adri Vrscu Abstract. Startig from som oldr idas of [] ad [6], w show w facts cocrig th approximatio of th costat of

More information

Fermi Gas. separation

Fermi Gas. separation ri Gas Distiguishabl Idistiguishabl Classical dgrat dd o dsity. If th wavlgth siilar to th saratio tha dgrat ri gas articl h saratio largr traturs hav sallr wavlgth d tightr ackig for dgracy

More information

Statistics 3858 : Likelihood Ratio for Exponential Distribution

Statistics 3858 : Likelihood Ratio for Exponential Distribution Statistics 3858 : Liklihood Ratio for Expotial Distributio I ths two xampl th rjctio rjctio rgio is of th form {x : 2 log (Λ(x)) > c} for a appropriat costat c. For a siz α tst, usig Thorm 9.5A w obtai

More information

DISCRETE-TIME RANDOM PROCESSES

DISCRETE-TIME RANDOM PROCESSES DISCRT-TIM RNDOM PROCSSS Rado Pocsss Dfiitio; Ma ad vaiac; autocoatio ad autocovaiac; Ratiosip btw ado vaiabs i a sig ado pocss; Coss-covaiac ad coss-coatio of two ado pocsss; Statioa Rado Pocsss Statioait;

More information

Quasi-Supercontinuum Interband Lasing Characteristics of Quantum Dot Nanostructures

Quasi-Supercontinuum Interband Lasing Characteristics of Quantum Dot Nanostructures USOD 008 ottiha UK Quasi-Suprcotiuu Itrbad Lasi Charactristics of Quatu Dot aostructurs C. L. a Y. Wa H. S. Di B. S. Ooi Ctr for Optica choois ad Dpartt of ctrica ad Coputr iri Lhih Uivrsity Bthh Psyvaia

More information

Exact and Approximate Detection Probability Formulas in Fundamentals of Radar Signal Processing

Exact and Approximate Detection Probability Formulas in Fundamentals of Radar Signal Processing Exact and Approximat tction robabiity Formuas in Fundamntas of Radar Signa rocssing Mark A. Richards Sptmbr 8 Introduction Tab 6. in th txt Fundamntas of Radar Signa rocssing, nd d. [], is rproducd bow.

More information

SME 3033 FINITE ELEMENT METHOD. Bending of Prismatic Beams (Initial notes designed by Dr. Nazri Kamsah)

SME 3033 FINITE ELEMENT METHOD. Bending of Prismatic Beams (Initial notes designed by Dr. Nazri Kamsah) Bnding of Prismatic Bams (Initia nots dsignd by Dr. Nazri Kamsah) St I-bams usd in a roof construction. 5- Gnra Loading Conditions For our anaysis, w wi considr thr typs of oading, as iustratd bow. Not:

More information

EE 232 Lightwave Devices Lecture 3: Basic Semiconductor Physics and Optical Processes. Optical Properties of Semiconductors

EE 232 Lightwave Devices Lecture 3: Basic Semiconductor Physics and Optical Processes. Optical Properties of Semiconductors 3 Lightwav Dvics Lctur 3: Basic Smicoductor Physics ad Optical Procsss Istructor: Mig C. Wu Uivrsity of Califoria, Brly lctrical girig ad Computr Scics Dpt. 3 Lctur 3- Optical Proprtis of Smicoductors

More information

ENGG 1203 Tutorial. Difference Equations. Find the Pole(s) Finding Equations and Poles

ENGG 1203 Tutorial. Difference Equations. Find the Pole(s) Finding Equations and Poles ENGG 03 Tutoial Systms ad Cotol 9 Apil Laig Obctivs Z tasfom Complx pols Fdbac cotol systms Ac: MIT OCW 60, 6003 Diffc Equatios Cosid th systm pstd by th followig diffc quatio y[ ] x[ ] (5y[ ] 3y[ ]) wh

More information

The van der Waals interaction 1 D. E. Soper 2 University of Oregon 20 April 2012

The van der Waals interaction 1 D. E. Soper 2 University of Oregon 20 April 2012 Th van dr Waals intraction D. E. Sopr 2 Univrsity of Orgon 20 pril 202 Th van dr Waals intraction is discussd in Chaptr 5 of J. J. Sakurai, Modrn Quantum Mchanics. Hr I tak a look at it in a littl mor

More information

A Simple Proof that e is Irrational

A Simple Proof that e is Irrational Two of th most bautiful ad sigificat umbrs i mathmatics ar π ad. π (approximatly qual to 3.459) rprsts th ratio of th circumfrc of a circl to its diamtr. (approximatly qual to.788) is th bas of th atural

More information

Lie Groups HW7. Wang Shuai. November 2015

Lie Groups HW7. Wang Shuai. November 2015 Li roups HW7 Wang Shuai Novmbr 015 1 Lt (π, V b a complx rprsntation of a compact group, show that V has an invariant non-dgnratd Hrmitian form. For any givn Hrmitian form on V, (for xampl (u, v = i u

More information

surface of a dielectric-metal interface. It is commonly used today for discovering the ways in

surface of a dielectric-metal interface. It is commonly used today for discovering the ways in Surfac plasmon rsonanc is snsitiv mchanism for obsrving slight changs nar th surfac of a dilctric-mtal intrfac. It is commonl usd toda for discovring th was in which protins intract with thir nvironmnt,

More information

(Reference: sections in Silberberg 5 th ed.)

(Reference: sections in Silberberg 5 th ed.) ALE. Atomic Structur Nam HEM K. Marr Tam No. Sctio What is a atom? What is th structur of a atom? Th Modl th structur of a atom (Rfrc: sctios.4 -. i Silbrbrg 5 th d.) Th subatomic articls that chmists

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by D. Klain Vrsion 207.0.05 Corrctions and commnts ar wlcom. Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix A A k I + A + k!

More information

Assignment 2 Solutions SOLUTION. ϕ 1 Â = 3 ϕ 1 4i ϕ 2. The other case can be dealt with in a similar way. { ϕ 2 Â} χ = { 4i ϕ 1 3 ϕ 2 } χ.

Assignment 2 Solutions SOLUTION. ϕ 1  = 3 ϕ 1 4i ϕ 2. The other case can be dealt with in a similar way. { ϕ 2 Â} χ = { 4i ϕ 1 3 ϕ 2 } χ. PHYSICS 34 QUANTUM PHYSICS II (25) Assigmet 2 Solutios 1. With respect to a pair of orthoormal vectors ϕ 1 ad ϕ 2 that spa the Hilbert space H of a certai system, the operator  is defied by its actio

More information

Quantum Mechanics Lecture Notes 10 April 2007 Meg Noah

Quantum Mechanics Lecture Notes 10 April 2007 Meg Noah The -Patice syste: ˆ H V This is difficut to sove. y V 1 ˆ H V 1 1 1 1 ˆ = ad with 1 1 Hˆ Cete of Mass ˆ fo Patice i fee space He Reative Haitoia eative coodiate of the tota oetu Pˆ the tota oetu tota

More information

Option 3. b) xe dx = and therefore the series is convergent. 12 a) Divergent b) Convergent Proof 15 For. p = 1 1so the series diverges.

Option 3. b) xe dx = and therefore the series is convergent. 12 a) Divergent b) Convergent Proof 15 For. p = 1 1so the series diverges. Optio Chaptr Ercis. Covrgs to Covrgs to Covrgs to Divrgs Covrgs to Covrgs to Divrgs 8 Divrgs Covrgs to Covrgs to Divrgs Covrgs to Covrgs to Covrgs to Covrgs to 8 Proof Covrgs to π l 8 l a b Divrgt π Divrgt

More information

Heat Equation: Maximum Principles

Heat Equation: Maximum Principles Heat Equatio: Maximum Priciple Nov. 9, 0 I thi lecture we will dicu the maximum priciple ad uiquee of olutio for the heat equatio.. Maximum priciple. The heat equatio alo ejoy maximum priciple a the Laplace

More information

2. SIMPLE SOIL PROPETIES

2. SIMPLE SOIL PROPETIES 2. SIMPLE SOIL PROPETIES 2.1 EIGHT-OLUME RELATIONSHIPS It i oft rquir of th gotchical gir to collct, claify a ivtigat oil ampl. B it for ig of fouatio or i calculatio of arthork volum, trmiatio of oil

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by Dan Klain Vrsion 28928 Corrctions and commnts ar wlcom Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix () A A k I + A + k!

More information

( a) ( ) 1 ( ) 2 ( ) ( ) 3 3 ( ) =!

( a) ( ) 1 ( ) 2 ( ) ( ) 3 3 ( ) =! .8,.9: Taylor ad Maclauri Series.8. Although we were able to fid power series represetatios for a limited group of fuctios i the previous sectio, it is ot immediately obvious whether ay give fuctio has

More information

5.1 The Nuclear Atom

5.1 The Nuclear Atom Sav My Exams! Th Hom of Rvisio For mor awsom GSE ad lvl rsourcs, visit us at www.savmyxams.co.uk/ 5.1 Th Nuclar tom Qustio Papr Lvl IGSE Subjct Physics (0625) Exam oard Topic Sub Topic ooklt ambridg Itratioal

More information

+ x. x 2x. 12. dx. 24. dx + 1)

+ x. x 2x. 12. dx. 24. dx + 1) INTEGRATION of FUNCTION of ONE VARIABLE INDEFINITE INTEGRAL Fidig th idfiit itgrals Rductio to basic itgrals, usig th rul f ( ) f ( ) d =... ( ). ( )d. d. d ( ). d. d. d 7. d 8. d 9. d. d. d. d 9. d 9.

More information

Derivation of a Predictor of Combination #1 and the MSE for a Predictor of a Position in Two Stage Sampling with Response Error.

Derivation of a Predictor of Combination #1 and the MSE for a Predictor of a Position in Two Stage Sampling with Response Error. Drivatio of a Prdictor of Cobiatio # ad th SE for a Prdictor of a Positio i Two Stag Saplig with Rspos Error troductio Ed Stak W driv th prdictor ad its SE of a prdictor for a rado fuctio corrspodig to

More information

Discrete Fourier Transform (DFT)

Discrete Fourier Transform (DFT) Discrt Fourir Trasorm DFT Major: All Egirig Majors Authors: Duc guy http://umricalmthods.g.us.du umrical Mthods or STEM udrgraduats 8/3/29 http://umricalmthods.g.us.du Discrt Fourir Trasorm Rcalld th xpotial

More information

Review Exercises. 1. Evaluate using the definition of the definite integral as a Riemann Sum. Does the answer represent an area? 2

Review Exercises. 1. Evaluate using the definition of the definite integral as a Riemann Sum. Does the answer represent an area? 2 MATHEMATIS --RE Itgral alculus Marti Huard Witr 9 Rviw Erciss. Evaluat usig th dfiitio of th dfiit itgral as a Rima Sum. Dos th aswr rprst a ara? a ( d b ( d c ( ( d d ( d. Fid f ( usig th Fudamtal Thorm

More information

y = 2xe x + x 2 e x at (0, 3). solution: Since y is implicitly related to x we have to use implicit differentiation: 3 6y = 0 y = 1 2 x ln(b) ln(b)

y = 2xe x + x 2 e x at (0, 3). solution: Since y is implicitly related to x we have to use implicit differentiation: 3 6y = 0 y = 1 2 x ln(b) ln(b) 4. y = y = + 5. Find th quation of th tangnt lin for th function y = ( + ) 3 whn = 0. solution: First not that whn = 0, y = (1 + 1) 3 = 8, so th lin gos through (0, 8) and thrfor its y-intrcpt is 8. y

More information

Hardy-Littlewood Conjecture and Exceptional real Zero. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R.

Hardy-Littlewood Conjecture and Exceptional real Zero. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R. Hardy-Littlwood Conjctur and Excptional ral Zro JinHua Fi ChangLing Company of Elctronic Tchnology Baoji Shannxi P.R.China E-mail: fijinhuayoujian@msn.com Abstract. In this papr, w assum that Hardy-Littlwood

More information

Properties and Tests of Zeros of Polynomial Functions

Properties and Tests of Zeros of Polynomial Functions Properties ad Tests of Zeros of Polyomial Fuctios The Remaider ad Factor Theorems: Sythetic divisio ca be used to fid the values of polyomials i a sometimes easier way tha substitutio. This is show by

More information

page 11 equation (1.2-10c), break the bar over the right side in the middle

page 11 equation (1.2-10c), break the bar over the right side in the middle I. Corrctios Lst Updtd: Ju 00 Complx Vrils with Applictios, 3 rd ditio, A. Dvid Wusch First Pritig. A ook ought for My 007 will proly first pritig With Thks to Christi Hos of Swd pg qutio (.-0c), rk th

More information

c z c z c z c z c c c c a a c A P( a ) a c a z c x z R j z z, z z z z I

c z c z c z c z c c c c a a c A P( a ) a c a z c x z R j z z, z z z z I . Quatu Spi States State Vectors c c i Ier Products: * * c c oralied. orthogoal c c c c c c * * i ii Probability that a particle i state ca be foud i state. c. States i S -basis y i i Geeral States. c

More information

Lectures 9 IIR Systems: First Order System

Lectures 9 IIR Systems: First Order System EE3054 Sigals ad Systms Lcturs 9 IIR Systms: First Ordr Systm Yao Wag Polytchic Uivrsity Som slids icludd ar xtractd from lctur prstatios prpard by McCllla ad Schafr Lics Ifo for SPFirst Slids This work

More information

Weights Interpreting W and lnw What is β? Some Endnotes = n!ω if we neglect the zero point energy then ( )

Weights Interpreting W and lnw What is β? Some Endnotes = n!ω if we neglect the zero point energy then ( ) Sprg Ch 35: Statstcal chacs ad Chcal Ktcs Wghts... 9 Itrprtg W ad lw... 3 What s?... 33 Lt s loo at... 34 So Edots... 35 Chaptr 3: Fudatal Prcpls of Stat ch fro a spl odl (drvato of oltza dstrbuto, also

More information