and integrated over all, the result is f ( 0) ] //Fourier transform ] //inverse Fourier transform

Size: px
Start display at page:

Download "and integrated over all, the result is f ( 0) ] //Fourier transform ] //inverse Fourier transform"

Transcription

1 NANO 70-Nots Chapt -Diactd bams Dlta uctio W d som mathmatical tools to dvlop a physical thoy o lcto diactio. Idal cystals a iiit this, so th will b som iiitis lii about. Usually, th iiit quatity oly ists at a poit i spac - ith dict o cipocal - so w t iit umbs o this that w masu. Ad wh w adjust ou thoy lat o al, impct cystals, th iiit this bcom iit. A dlta uctio δ (somtims calld a Diac dlta uctio, is positiv iiity at just o plac o th umb li, wh = 0. It is zo vy wh ls. But this is a somwhat itactabl diitio. A btt diitio is basd o its sampli popty. That is, whv aoth uctio, such as (, is multiplid by δ ad itatd ov all, th sult is ( 0. ( 0 = δ d = So say ( =. W ca immdiatly otic a al popty o δ : = δ d = Th ital om to + ca b thouht o as a limit: lim L = = L L Dlta uctios a somtims calld uit impuls uctios. Foui tasom Th Foui tasom ( o a uctio ( ca b thouht o as its qucy pstatio. Th Foui tasom is ivtibl, s o w ca t ( bac om (. πi ( = d = I[ ] //Foui tasom = πi = ( d = I [ ( ] //ivs Foui tasom = W a usi th I ad I symbols to pst th Foui tasom ad ivs Foui tasom opatios, which a both lia, mai that I[ α +α ] =αi [ ] +αi [ ] o ay uctios ad ad coicits α ad α. H is a ampl:

2 NANO 70-Nots =δ( a ( = πia Notic that th dlta uctio ca b witt as: π δ =I ( = i d = H is aoth ampl with two dlta uctios: = [ δ( a +δ ( + a ] ( = cos( π a Covolutio thom Covolutios o two uctios show up wh vy poit i o uctio is modiid by aoth uctio: * = ( ( d = Say w ow th Foui tasoms o th two uctios ( = I { }, ( = I { } Th covolutio thom stats that th Foui tasom o thi covolutio quals th poduct o thi Foui tasoms: I { * } = ( ( Th-dimsioal vsios Th Foui tasom o a -D uctio ad th ivs FT a lim πi lim Ω ( = d, π i = d Ω I -D, th dlta uctio ca still b witt as a ital, ad has th sampli popty lim Ω π i lim δ = d Ω, ( 0 = δ( 0 d Th covolutio o two -D uctios is lim * = ( ( d Th covolutio thom i -D bcoms I { * } = ( ( Piodic uctios A Foui sis is a th pstatio o a piodic uctio by a iiit sum o hamoics: ( = πi

3 NANO 70-Nots Th piodicity is uaatd: ( + = uvw πi = ( ( + = uvw πi ( + uvw = πi πi uvw I cystalloaphy, w ow will b summi ov th RLs by pmuti th idics ( h amo all its, so w ca adopt a shothad otatio: i ( = = π πi I oth wods, th sum ov th RLs is a abbviatio o th sum ov Mill idics: Aoth dlta uctio It mas this cla i w di aoth dlta uctio to us i cipocal spac L, 0 lim πi = d L = 0, othwis Th -D vsio loos li lim πi = 0 d = 0, othwis, It is ot mo usul to di a omalizd, disct vsio lim 0 d = 0, othwis πi, = This om avoids th puzzli iiitis. Poo o covolutio thom Do you d poo o th covolutio thom? H it is:

4 NANO 70-Nots 4 = h = d ( h( ( =I { } = d πi = d d ( h( πi ( = d d d ( d h( = πi πi πi ( d d ( h( d d πi πi ( = d d ( h( ( ( = d ( h( ( ( = ( h( Foui compots Say w di a omalizd Foui tasom usi th mthod o dii : lim πi = d Assum ( is piodic. Th ( = π i Evaluati th ivs: i ( lim = π πi d lim πi( = d = I oth wods, o a piodic uctio, th Foui coicits o th RLs a th oly o-zo Foui compots. Foui compots o cystal pottial Th mai uctio I hav i mid i this discussio is th lctostatic pottial, o a cystal, o cystal pottial, o shot. Th cystal pottial ca b witt as: Φ ( = Φ πi W ca ma som alizatios about th Φ. Lt s loo at th compl cojuat o Φ( :

5 NANO 70-Nots [ Φ ( ] = ( Φ * * πi 5 It is usually a ood stati poit to assum Φ( is al. So Φ = [ Φ ] i Φ = ( Φ π * πi( i Φ = ( Φ π * πi * So i th cystal pottial is al, w ca always say: ( Φ * =Φ Now lt s loo at th what happs i w ivt th cystal about th oii Φ( = Φ πi I th oii is a ct o ivsio symmty, th Φ =Φ( Φ = Φ πi πi πi πi Φ = Φ So, i th cystal pottial is ctosymmtic, w ca say: Φ =Φ I th cystal pottial is both al ad ctosymmtic, th all o its Foui coicits a al: Φ =Φ = ( Φ * = al Evaluati th cystal pottial by covolutio Th tools itoducd h so a a itdd to ma li asi. Fo ampl cosid a piodic aay o dlta uctios, locatd at th lattic poits o a cystal: X = δ( - Now ta th lctostatic pottial φ o just o uit cll. Th covolutio o ths ivs th cystal pottial: Φ =φ * X ( I dict spac, w t bac th pctd sum o pottials o all uit clls Φ = φ( - Th advata coms i cipocal spac, wh w ca us th covolutio thom IΦ [ ] =Iφ [ ] I[ X ( ]

6 NANO 70-Nots 6 Cystal uctio (lattic sum Ca w say aythi ls about I[ X ( ]? Fo a iiit cystal lim N X = N δ - = Its Foui compots a: X N N lim lim πi lim lim πi = δ d = N N = = W ca just divid up spac ito uit-cll-sizd ios, with o lattic poit p io. I th uit cll volum is v, th = Nv X lim, = a RL N v Nv 0, = othwis N -πi = = = So th Foui sis pstatio o th cystal uctio is vy simpl: i X ( = X = v π πi Uit-cll pottials Th total cystal pottial is a sum ov uit-cll pottials: lim N Φ = φ - N = W ca usually assum that th uit-cll pottial is a sum ov atomic pottials, with atoms locatd at thi appopiat positios i th uit cll: m φ = φ -d m atoms ( m W aud that th idividual pottials o isolatd atoms had sphical symmty. So ( m ( m si π φ = 4π φ d π = 0

7 NANO 70-Nots 7 Thus, th Foui tasom o th uit-cll pottial is: lim φ = φ d = φ -d m atoms m atoms ( ( m m m πi m πid Th si o th pot o th phas acto is somtims opposit by covtio. Plas ba with m. Evaluati th Foui compots o th cystal pottial W saw that Φ is th covolutio Φ =φ * X ( So Φ is th poduct: Φ =φ( X Total wav uctio W ot assum th wav uctio abov th sampl is dscibd by a pla wav that psts th icidt bam: ψ ( = πi Blow th sampl, th total, tasmittd wav uctio is a collctio o diactd bams, icludi 0, which a ach pla wavs with dit amplituds ad tavli i dit dictios: ψ ( = Ψ πi usi th abbviatio = + + s I w ow th cystal stuctu ad oitatio, w also ow th. But w d a pocdu to id th bam amplituds Ψ. Oc w ow thos, th itsitis o th diactio spots will b I = Ψ

Instrumentation for Characterization of Nanomaterials (v11) 11. Crystal Potential

Instrumentation for Characterization of Nanomaterials (v11) 11. Crystal Potential Istumtatio o Chaactizatio o Naomatials (v). Cystal Pottial Dlta uctio W d som mathmatical tools to dvlop a physical thoy o lcto diactio om cystal. Idal cystals a iiit this, so th will b som iiitis lii

More information

ELEC9721: Digital Signal Processing Theory and Applications

ELEC9721: Digital Signal Processing Theory and Applications ELEC97: Digital Sigal Pocssig Thoy ad Applicatios Tutoial ad solutios Not: som of th solutios may hav som typos. Q a Show that oth digital filts giv low hav th sam magitud spos: i [] [ ] m m i i i x c

More information

E F. and H v. or A r and F r are dual of each other.

E F. and H v. or A r and F r are dual of each other. A Duality Thom: Consid th following quations as an xampl = A = F μ ε H A E A = jωa j ωμε A + β A = μ J μ A x y, z = J, y, z 4π E F ( A = jω F j ( F j β H F ωμε F + β F = ε M jβ ε F x, y, z = M, y, z 4π

More information

On Jackson's Theorem

On Jackson's Theorem It. J. Cotm. Math. Scics, Vol. 7, 0, o. 4, 49 54 O Jackso's Thom Ema Sami Bhaya Datmt o Mathmatics, Collg o Educatio Babylo Uivsity, Babil, Iaq mabhaya@yahoo.com Abstact W ov that o a uctio W [, ], 0

More information

Fourier transforms (Chapter 15) Fourier integrals are generalizations of Fourier series. The series representation

Fourier transforms (Chapter 15) Fourier integrals are generalizations of Fourier series. The series representation Pof. D. I. Nass Phys57 (T-3) Sptmb 8, 03 Foui_Tansf_phys57_T3 Foui tansfoms (Chapt 5) Foui intgals a gnalizations of Foui sis. Th sis psntation a0 nπx nπx f ( x) = + [ an cos + bn sin ] n = of a function

More information

Relation between wavefunctions and vectors: In the previous lecture we noted that:

Relation between wavefunctions and vectors: In the previous lecture we noted that: Rlatio tw wavuctios a vctos: I th pvious lctu w ot that: * Ψm ( x) Ψ ( x) x Ψ m Ψ m which claly mas that th commo ovlap itgal o th lt must a i pouct o two vctos. I what ss is ca w thi o th itgal as th

More information

Classical Theory of Fourier Series : Demystified and Generalised VIVEK V. RANE. The Institute of Science, 15, Madam Cama Road, Mumbai

Classical Theory of Fourier Series : Demystified and Generalised VIVEK V. RANE. The Institute of Science, 15, Madam Cama Road, Mumbai Clssil Thoy o Foi Sis : Dmystii Glis VIVEK V RANE Th Istitt o Si 5 Mm Cm Ro Mmbi-4 3 -mil ss : v_v_@yhoooi Abstt : Fo Rim itgbl tio o itvl o poit thi w i Foi Sis t th poit o th itvl big ot how wh th tio

More information

Lecture 3.2: Cosets. Matthew Macauley. Department of Mathematical Sciences Clemson University

Lecture 3.2: Cosets. Matthew Macauley. Department of Mathematical Sciences Clemson University Lctu 3.2: Costs Matthw Macauly Dpatmnt o Mathmatical Scincs Clmson Univsity http://www.math.clmson.du/~macaul/ Math 4120, Modn Algba M. Macauly (Clmson) Lctu 3.2: Costs Math 4120, Modn Algba 1 / 11 Ovviw

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

Ch. 6 Free Electron Fermi Gas

Ch. 6 Free Electron Fermi Gas Ch. 6 lcto i Gas Coductio lctos i a tal ov fl without scattig b io cos so it ca b cosidd as if walitactig o f paticls followig idiac statistics. hfo th coductio lctos a fqutl calld as f lcto i gas. Coductio

More information

Statics. Consider the free body diagram of link i, which is connected to link i-1 and link i+1 by joint i and joint i-1, respectively. = r r r.

Statics. Consider the free body diagram of link i, which is connected to link i-1 and link i+1 by joint i and joint i-1, respectively. = r r r. Statcs Th cotact btw a mapulato ad ts vomt sults tactv ocs ad momts at th mapulato/vomt tac. Statcs ams at aalyzg th latoshp btw th actuato dv tous ad th sultat oc ad momt appld at th mapulato dpot wh

More information

Galaxy Photometry. Recalling the relationship between flux and luminosity, Flux = brightness becomes

Galaxy Photometry. Recalling the relationship between flux and luminosity, Flux = brightness becomes Galaxy Photomty Fo galaxis, w masu a sufac flux, that is, th couts i ach pixl. Though calibatio, this is covtd to flux dsity i Jaskys ( Jy -6 W/m/Hz). Fo a galaxy at som distac, d, a pixl of sid D subtds

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

Free carriers in materials

Free carriers in materials Lctu / F cais in matials Mtals n ~ cm -3 Smiconductos n ~ 8... 9 cm -3 Insulatos n < 8 cm -3 φ isolatd atoms a >> a B a B.59-8 cm 3 ϕ ( Zq) q atom spacing a Lctu / "Two atoms two lvls" φ a T splitting

More information

( ) ( ) ( ) 2011 HSC Mathematics Solutions ( 6) ( ) ( ) ( ) π π. αβ = = 2. α β αβ. Question 1. (iii) 1 1 β + (a) (4 sig. fig.

( ) ( ) ( ) 2011 HSC Mathematics Solutions ( 6) ( ) ( ) ( ) π π. αβ = = 2. α β αβ. Question 1. (iii) 1 1 β + (a) (4 sig. fig. HS Mathmatics Solutios Qustio.778.78 ( sig. fig.) (b) (c) ( )( + ) + + + + d d (d) l ( ) () 8 6 (f) + + + + ( ) ( ) (iii) β + + α α β αβ 6 (b) si π si π π π +,π π π, (c) y + dy + d 8+ At : y + (,) dy 8(

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

Hydrogen atom. Energy levels and wave functions Orbital momentum, electron spin and nuclear spin Fine and hyperfine interaction Hydrogen orbitals

Hydrogen atom. Energy levels and wave functions Orbital momentum, electron spin and nuclear spin Fine and hyperfine interaction Hydrogen orbitals Hydogn atom Engy lvls and wav functions Obital momntum, lcton spin and nucla spin Fin and hypfin intaction Hydogn obitals Hydogn atom A finmnt of th Rydbg constant: R ~ 109 737.3156841 cm -1 A hydogn mas

More information

ADDITIVE INTEGRAL FUNCTIONS IN VALUED FIELDS. Ghiocel Groza*, S. M. Ali Khan** 1. Introduction

ADDITIVE INTEGRAL FUNCTIONS IN VALUED FIELDS. Ghiocel Groza*, S. M. Ali Khan** 1. Introduction ADDITIVE INTEGRAL FUNCTIONS IN VALUED FIELDS Ghiocl Goza*, S. M. Ali Khan** Abstact Th additiv intgal functions with th cofficints in a comlt non-achimdan algbaically closd fild of chaactistic 0 a studid.

More information

The angle between L and the z-axis is found from

The angle between L and the z-axis is found from Poblm 6 This is not a ifficult poblm but it is a al pain to tansf it fom pap into Mathca I won't giv it to you on th quiz, but know how to o it fo th xam Poblm 6 S Figu 6 Th magnitu of L is L an th z-componnt

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

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

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

Chapter 2 Reciprocal Lattice. An important concept for analyzing periodic structures

Chapter 2 Reciprocal Lattice. An important concept for analyzing periodic structures Chpt Rcpocl Lttc A mpott cocpt o lyzg podc stuctus Rsos o toducg cpocl lttc Thoy o cystl dcto o x-ys, utos, d lctos. Wh th dcto mxmum? Wht s th tsty? Abstct study o uctos wth th podcty o Bvs lttc Fou tsomto.

More information

The Hydrogen Atom. Chapter 7

The Hydrogen Atom. Chapter 7 Th Hyog Ato Chapt 7 Hyog ato Th vy fist pobl that Schöig hislf tackl with his w wav quatio Poucig th oh s gy lvls a o! lctic pottial gy still plays a ol i a subatoic lvl btw poto a lcto V 4 Schöig q. fo

More information

( ) L = D e. e e. Example:

( ) L = D e. e e. Example: xapl: A Si p juctio diod av acoss sctioal aa of, a accpto coctatio of 5 0 8 c -3 o t p-sid ad a doo coctatio of 0 6 c -3 o t -sid. T lif ti of ols i -gio is 47 s ad t lif ti of lctos i t p-gio is 5 s.

More information

Solid state physics. Lecture 3: chemical bonding. Prof. Dr. U. Pietsch

Solid state physics. Lecture 3: chemical bonding. Prof. Dr. U. Pietsch Solid stat physics Lctu 3: chmical bonding Pof. D. U. Pitsch Elcton chag dnsity distibution fom -ay diffaction data F kp ik dk h k l i Fi H p H; H hkl V a h k l Elctonic chag dnsity of silicon Valnc chag

More information

School of Aerospace Engineering Origins of Quantum Theory. Measurements of emission of light (EM radiation) from (H) atoms found discrete lines

School of Aerospace Engineering Origins of Quantum Theory. Measurements of emission of light (EM radiation) from (H) atoms found discrete lines Ogs of Quatu Thoy Masuts of sso of lght (EM adato) fo (H) atos foud dsct ls 5 4 Abl to ft to followg ss psso ν R λ c λwavlgth, νfqucy, cspd lght RRydbg Costat (~09,7677.58c - ),,, +, +,..g.,,.6, 0.6, (Lya

More information

Shor s Algorithm. Motivation. Why build a classical computer? Why build a quantum computer? Quantum Algorithms. Overview. Shor s factoring algorithm

Shor s Algorithm. Motivation. Why build a classical computer? Why build a quantum computer? Quantum Algorithms. Overview. Shor s factoring algorithm Motivation Sho s Algoith It appas that th univs in which w liv is govnd by quantu chanics Quantu infoation thoy givs us a nw avnu to study & tst quantu chanics Why do w want to build a quantu coput? Pt

More information

6.Optical and electronic properties of Low

6.Optical and electronic properties of Low 6.Optical and lctonic poptis of Low dinsional atials (I). Concpt of Engy Band. Bonding foation in H Molculs Lina cobination of atoic obital (LCAO) Schoding quation:(- i VionV) E find a,a s.t. E is in a

More information

Physics 111. Lecture 38 (Walker: ) Phase Change Latent Heat. May 6, The Three Basic Phases of Matter. Solid Liquid Gas

Physics 111. Lecture 38 (Walker: ) Phase Change Latent Heat. May 6, The Three Basic Phases of Matter. Solid Liquid Gas Physics 111 Lctu 38 (Walk: 17.4-5) Phas Chang May 6, 2009 Lctu 38 1/26 Th Th Basic Phass of Matt Solid Liquid Gas Squnc of incasing molcul motion (and ngy) Lctu 38 2/26 If a liquid is put into a sald contain

More information

COMPSCI 230 Discrete Math Trees March 21, / 22

COMPSCI 230 Discrete Math Trees March 21, / 22 COMPSCI 230 Dict Math Mach 21, 2017 COMPSCI 230 Dict Math Mach 21, 2017 1 / 22 Ovviw 1 A Simpl Splling Chck Nomnclatu 2 aval Od Dpth-it aval Od Badth-it aval Od COMPSCI 230 Dict Math Mach 21, 2017 2 /

More information

Homework 1: Solutions

Homework 1: Solutions Howo : Solutos No-a Fals supposto tst but passs scal tst lthouh -f th ta as slowss [S /V] vs t th appaac of laty alty th path alo whch slowss s to b tat to obta tavl ts ps o th ol paat S o V as a cosquc

More information

Dielectric Waveguide 1

Dielectric Waveguide 1 Dilctic Wavgui Total Ital Rflctio i c si c t si si t i i i c i Total Ital Rflctio i c i cos si Wh i t i si c si cos t j o cos t t o si i si bcoms pul imagia pul imagia i, al Total Ital Rflctio 3 i c i

More information

By Joonghoe Dho. The irradiance at P is given by

By Joonghoe Dho. The irradiance at P is given by CH. 9 c CH. 9 c By Joogo Do 9 Gal Coao 9. Gal Coao L co wo po ouc, S & S, mg moocomac wav o am qucy. L paao a b muc ga a. Loca am qucy. L paao a b muc ga a. Loca po obvao P a oug away om ouc o a a P wavo

More information

CDS 101: Lecture 5.1 Reachability and State Space Feedback

CDS 101: Lecture 5.1 Reachability and State Space Feedback CDS, Lctur 5. CDS : Lctur 5. Rachability ad Stat Spac Fdback Richard M. Murray ad Hido Mabuchi 5 Octobr 4 Goals: Di rachability o a cotrol systm Giv tsts or rachability o liar systms ad apply to ampls

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

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

Physics 240: Worksheet 15 Name

Physics 240: Worksheet 15 Name Physics 40: Woksht 15 Nam Each of ths poblms inol physics in an acclatd fam of fnc Althouh you mind wants to ty to foc you to wok ths poblms insid th acclatd fnc fam (i.. th so-calld "won way" by som popl),

More information

New Advanced Higher Mathematics: Formulae

New Advanced Higher Mathematics: Formulae Advcd High Mthmtics Nw Advcd High Mthmtics: Fomul G (G): Fomul you must mmois i od to pss Advcd High mths s thy ot o th fomul sht. Am (A): Ths fomul giv o th fomul sht. ut it will still usful fo you to

More information

Lecture 7 Diffusion. Our fluid equations that we developed before are: v t v mn t

Lecture 7 Diffusion. Our fluid equations that we developed before are: v t v mn t Cla ot fo EE6318/Phy 6383 Spg 001 Th doumt fo tutoal u oly ad may ot b opd o dtbutd outd of EE6318/Phy 6383 tu 7 Dffuo Ou flud quato that w dvlopd bfo a: f ( )+ v v m + v v M m v f P+ q E+ v B 13 1 4 34

More information

Noise in electronic components.

Noise in electronic components. No lto opot5098, JDS No lto opot Th PN juto Th ut thouh a PN juto ha fou opot t: two ffuo ut (hol fo th paa to th aa a lto th oppot to) a thal at oty ha a (hol fo th aa to th paa a lto th oppot to, laka

More information

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9 OH BOY! O h Boy!, was or igin a lly cr eat ed in F r en ch an d was a m a jor s u cc ess on t h e Fr en ch st a ge f or young au di enc es. It h a s b een s een by ap pr ox i ma t ely 175,000 sp ect at

More information

Overview. 1 Recall: continuous-time Markov chains. 2 Transient distribution. 3 Uniformization. 4 Strong and weak bisimulation

Overview. 1 Recall: continuous-time Markov chains. 2 Transient distribution. 3 Uniformization. 4 Strong and weak bisimulation Rcall: continuous-tim Makov chains Modling and Vification of Pobabilistic Systms Joost-Pit Katon Lhstuhl fü Infomatik 2 Softwa Modling and Vification Goup http://movs.wth-aachn.d/taching/ws-89/movp8/ Dcmb

More information

Mathematical Statistics

Mathematical Statistics 7 75 Ode Sttistics The ode sttistics e the items o the dom smple ed o odeed i mitude om the smllest to the lest Recetl the impotce o ode sttistics hs icesed owi to the moe equet use o opmetic ieeces d

More information

Problem Session (3) for Chapter 4 Signal Modeling

Problem Session (3) for Chapter 4 Signal Modeling Pobm Sssio fo Cht Sig Modig Soutios to Pobms....5. d... Fid th Pdé oimtio of scod-od to sig tht is giv by [... ] T i.. d so o. I oth wods usig oimtio of th fom b b b H fid th cofficits b b b d. Soutio

More information

Chapter Taylor Theorem Revisited

Chapter Taylor Theorem Revisited Captr 0.07 Taylor Torm Rvisitd Atr radig tis captr, you sould b abl to. udrstad t basics o Taylor s torm,. writ trascdtal ad trigoomtric uctios as Taylor s polyomial,. us Taylor s torm to id t valus o

More information

Time : 1 hr. Test Paper 08 Date 04/01/15 Batch - R Marks : 120

Time : 1 hr. Test Paper 08 Date 04/01/15 Batch - R Marks : 120 Tim : hr. Tst Papr 8 D 4//5 Bch - R Marks : SINGLE CORRECT CHOICE TYPE [4, ]. If th compl umbr z sisfis th coditio z 3, th th last valu of z is qual to : z (A) 5/3 (B) 8/3 (C) /3 (D) o of ths 5 4. Th itgral,

More information

Computing the output response of LTI Systems.

Computing the output response of LTI Systems. Computig the output respose of LTI Systems. By breaig or decomposig ad represetig the iput sigal to the LTI system ito terms of a liear combiatio of a set of basic sigals. Usig the superpositio property

More information

Technical Report: Bessel Filter Analysis

Technical Report: Bessel Filter Analysis Sasa Mahmoodi 1 Techical Repot: Bessel Filte Aalysis 1 School of Electoics ad Compute Sciece, Buildig 1, Southampto Uivesity, Southampto, S17 1BJ, UK, Email: sm3@ecs.soto.ac.uk I this techical epot, we

More information

Kinetics. Central Force Motion & Space Mechanics

Kinetics. Central Force Motion & Space Mechanics Kintics Cntal Foc Motion & Spac Mcanics Outlin Cntal Foc Motion Obital Mcanics Exampls Cntal-Foc Motion If a paticl tavls un t influnc of a foc tat as a lin of action ict towas a fix point, tn t motion

More information

2011 HSC Mathematics Extension 1 Solutions

2011 HSC Mathematics Extension 1 Solutions 0 HSC Mathmatics Etsio Solutios Qustio, (a) A B 9, (b) : 9, P 5 0, 5 5 7, si cos si d d by th quotit ul si (c) 0 si cos si si cos si 0 0 () I u du d u cos d u.du cos (f) f l Now 0 fo all l l fo all Rag

More information

15/03/1439. Lectures on Signals & systems Engineering

15/03/1439. Lectures on Signals & systems Engineering Lcturs o Sigals & syms Egirig Dsigd ad Prd by Dr. Ayma Elshawy Elsfy Dpt. of Syms & Computr Eg. Al-Azhar Uivrsity Email : aymalshawy@yahoo.com A sigal ca b rprd as a liar combiatio of basic sigals. Th

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

Topic 9 - Taylor and MacLaurin Series

Topic 9 - Taylor and MacLaurin Series Topic 9 - Taylor ad MacLauri Series A. Taylors Theorem. The use o power series is very commo i uctioal aalysis i act may useul ad commoly used uctios ca be writte as a power series ad this remarkable result

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

CHAPTER 5 : SERIES. 5.2 The Sum of a Series Sum of Power of n Positive Integers Sum of Series of Partial Fraction Difference Method

CHAPTER 5 : SERIES. 5.2 The Sum of a Series Sum of Power of n Positive Integers Sum of Series of Partial Fraction Difference Method CHAPTER 5 : SERIES 5.1 Seies 5. The Sum of a Seies 5..1 Sum of Powe of Positive Iteges 5.. Sum of Seies of Patial Factio 5..3 Diffeece Method 5.3 Test of covegece 5.3.1 Divegece Test 5.3. Itegal Test 5.3.3

More information

MONTGOMERY COLLEGE Department of Mathematics Rockville Campus. 6x dx a. b. cos 2x dx ( ) 7. arctan x dx e. cos 2x dx. 2 cos3x dx

MONTGOMERY COLLEGE Department of Mathematics Rockville Campus. 6x dx a. b. cos 2x dx ( ) 7. arctan x dx e. cos 2x dx. 2 cos3x dx MONTGOMERY COLLEGE Dpartmt of Mathmatics Rockvill Campus MATH 8 - REVIEW PROBLEMS. Stat whthr ach of th followig ca b itgratd by partial fractios (PF), itgratio by parts (PI), u-substitutio (U), or o of

More information

LECTURE 5 Guassian Wave Packet

LECTURE 5 Guassian Wave Packet LECTURE 5 Guassian Wav Pact 1.5 Eampl f a guassian shap fr dscribing a wav pact Elctrn Pact ψ Guassian Assumptin Apprimatin ψ As w hav sn in QM th wav functin is ftn rprsntd as a Furir transfrm r sris.

More information

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

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

More information

3D Viewing. Vanishing Points. Two ways Intersection of transformed lines Transformation of points at infinity. Y VP z. VP x

3D Viewing. Vanishing Points. Two ways Intersection of transformed lines Transformation of points at infinity. Y VP z. VP x Vaishig Poits Two ways Itsctio of tasfomd lis Tasfomatio of oits at ifiity Y Y VP z X VP x X Z Pla Gomtic Pojctios Paalll Pscti Othogahic Axoomtic Obliq Sigl Poit Timtic Dimtic Isomtic Caali Cabit Two

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

2.2 Limits Involving Infinity AP Calculus

2.2 Limits Involving Infinity AP Calculus . Liits Ivolvig Iiity AP Calculus. LIMITS INVOLVING INFINITY We are goig to look at two kids o its ivolvig iiity. We are iterested i deteriig what happes to a uctio as approaches iiity (i both the positive

More information

The Reign of Grace and Life. Romans 5:12-21 (5:12-14, 17 focus)

The Reign of Grace and Life. Romans 5:12-21 (5:12-14, 17 focus) Th Rig of Gc d Lif Rom 5:12-21 (5:12-14, 17 focu) Th Ifluc of O h d ud Adolph H J o ph Smith B i t l m t Fid Idi Gdhi Ci Lu Gu ich N itz y l M d i M ch Nlo h Vig T L M uhmmd B m i o t T Ju Chit w I N h

More information

ASSERTION AND REASON

ASSERTION AND REASON ASSERTION AND REASON Som qustios (Assrtio Rso typ) r giv low. Ech qustio cotis Sttmt (Assrtio) d Sttmt (Rso). Ech qustio hs choics (A), (B), (C) d (D) out of which ONLY ONE is corrct. So slct th corrct

More information

CDS 101: Lecture 5.1 Reachability and State Space Feedback

CDS 101: Lecture 5.1 Reachability and State Space Feedback CDS, Lctur 5. CDS : Lctur 5. Rachability ad Stat Spac Fdback Richard M. Murray 7 Octobr 3 Goals: Di rachability o a cotrol systm Giv tsts or rachability o liar systms ad apply to ampls Dscrib th dsig o

More information

Today s topics. How did we solve the H atom problem? CMF Office Hours

Today s topics. How did we solve the H atom problem? CMF Office Hours CMF Offc ous Wd. Nov. 4 oo-p Mo. Nov. 9 oo-p Mo. Nov. 6-3p Wd. Nov. 8 :30-3:30 p Wd. Dc. 5 oo-p F. Dc. 7 4:30-5:30 Mo. Dc. 0 oo-p Wd. Dc. 4:30-5:30 p ouly xa o Th. Dc. 3 Today s topcs Bf vw of slctd sults

More information

Slide 1. Slide 2. Slide 3 DIGITAL SIGNAL PROCESSING CLASSIFICATION OF SIGNALS

Slide 1. Slide 2. Slide 3 DIGITAL SIGNAL PROCESSING CLASSIFICATION OF SIGNALS Slid DIGITAL SIGAL PROCESSIG UIT I DISCRETE TIME SIGALS AD SYSTEM Slid Rviw of discrt-tim signals & systms Signal:- A signal is dfind as any physical quantity that varis with tim, spac or any othr indpndnt

More information

SOLUTIONS TO EXAM 3. Solution: Note that this defines two convergent geometric series with respective radii r 1 = 2/5 < 1 and r 2 = 1/5 < 1.

SOLUTIONS TO EXAM 3. Solution: Note that this defines two convergent geometric series with respective radii r 1 = 2/5 < 1 and r 2 = 1/5 < 1. SOLUTIONS TO EXAM 3 Problem Fid the sum of the followig series 2 + ( ) 5 5 2 5 3 25 2 2 This series diverges Solutio: Note that this defies two coverget geometric series with respective radii r 2/5 < ad

More information

Scattering Parameters. Scattering Parameters

Scattering Parameters. Scattering Parameters Motivatio cattrig Paramtrs Difficult to implmt op ad short circuit coditios i high frqucis masurmts du to parasitic s ad Cs Pottial stability problms for activ dvics wh masurd i oopratig coditios Difficult

More information

Electron states in a periodic potential. Assume the electrons do not interact with each other. Solve the single electron Schrodinger equation: KJ =

Electron states in a periodic potential. Assume the electrons do not interact with each other. Solve the single electron Schrodinger equation: KJ = Electo states i a peiodic potetial Assume the electos do ot iteact with each othe Solve the sigle electo Schodige equatio: 2 F h 2 + I U ( ) Ψ( ) EΨ( ). 2m HG KJ = whee U(+R)=U(), R is ay Bavais lattice

More information

Exponential Moving Average Pieter P

Exponential Moving Average Pieter P Expoetial Movig Average Pieter P Differece equatio The Differece equatio of a expoetial movig average lter is very simple: y[] x[] + (1 )y[ 1] I this equatio, y[] is the curret output, y[ 1] is the previous

More information

Load Equations. So let s look at a single machine connected to an infinite bus, as illustrated in Fig. 1 below.

Load Equations. So let s look at a single machine connected to an infinite bus, as illustrated in Fig. 1 below. oa Euatons Thoughout all of chapt 4, ou focus s on th machn tslf, thfo w wll only pfom a y smpl tatmnt of th ntwok n o to s a complt mol. W o that h, but alz that w wll tun to ths ssu n Chapt 9. So lt

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

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

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

Solutions to Homework 1

Solutions to Homework 1 Solutios to Homework MATH 36. Describe geometrically the sets of poits z i the complex plae defied by the followig relatios /z = z () Re(az + b) >, where a, b (2) Im(z) = c, with c (3) () = = z z = z 2.

More information

DSP-First, 2/e. This Lecture: LECTURE #3 Complex Exponentials & Complex Numbers. Introduce more tools for manipulating complex numbers

DSP-First, 2/e. This Lecture: LECTURE #3 Complex Exponentials & Complex Numbers. Introduce more tools for manipulating complex numbers DSP-Fis, / LECTURE #3 Compl Eponnials & Compl umbs READIG ASSIGMETS This Lcu: Chap, Scs. -3 o -5 Appndi A: Compl umbs Appndi B: MATLAB Lcu: Compl Eponnials Aug 016 003-016, JH McClllan & RW Schaf 3 LECTURE

More information

By the end of this section you will be able to prove the Chinese Remainder Theorem apply this theorem to solve simultaneous linear congruences

By the end of this section you will be able to prove the Chinese Remainder Theorem apply this theorem to solve simultaneous linear congruences Chapte : Theoy of Modula Aithmetic 8 Sectio D Chiese Remaide Theoem By the ed of this sectio you will be able to pove the Chiese Remaide Theoem apply this theoem to solve simultaeous liea cogueces The

More information

Handout 32. Electronic Energy Transport and Thermoelectric Effects

Handout 32. Electronic Energy Transport and Thermoelectric Effects Haut lti y aspt a hmlti ts I is ltu yu will la: hmal y taspt by lts hmlti ts b t Plti t hmlti ls hmlti pw ts Las Osa (9-976) C 47 pi 9 aha Raa Cll Uisity Nt Ntati I is haut ulss stats wis w will assum

More information

PH672 WINTER Problem Set #1. Hint: The tight-binding band function for an fcc crystal is [ ] (a) The tight-binding Hamiltonian (8.

PH672 WINTER Problem Set #1. Hint: The tight-binding band function for an fcc crystal is [ ] (a) The tight-binding Hamiltonian (8. PH67 WINTER 5 Poblm St # Mad, hapt, poblm # 6 Hint: Th tight-binding band function fo an fcc cstal is ( U t cos( a / cos( a / cos( a / cos( a / cos( a / cos( a / ε [ ] (a Th tight-binding Hamiltonian (85

More information

Magnetic effects and the peculiarity of the electron spin in Atoms

Magnetic effects and the peculiarity of the electron spin in Atoms Magtic ffcts ad t pculiaity of t lcto spi i Atos Pit Za Hdik otz Nobl Piz 90 Otto t Nobl 9 Wolfgag Pauli Nobl 95 ctu Nots tuctu of Matt: Atos ad Molculs; W. Ubacs T obital agula otu of a lcto i obit iclassical

More information

Technical Support Document Bias of the Minimum Statistic

Technical Support Document Bias of the Minimum Statistic Tchical Support Documt Bias o th Miimum Stattic Itroductio Th papr pla how to driv th bias o th miimum stattic i a radom sampl o siz rom dtributios with a shit paramtr (also kow as thrshold paramtr. Ths

More information

GRADED QUESTIONS ON COMPLEX NUMBER

GRADED QUESTIONS ON COMPLEX NUMBER E /Math-I/ GQ/Comple umer GRADED QUESTINS N CMPEX NUMBER. The umer of the form + i y where ad y are real umers ad i = - i. e.( i ) is called a comple umer ad it is deoted y z i.e. z = + i y.the comple

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 30 Sigal & Sytem Prof. Mark Fowler Note Set #8 C-T Sytem: Laplace Traform Solvig Differetial Equatio Readig Aigmet: Sectio 6.4 of Kame ad Heck / Coure Flow Diagram The arrow here how coceptual flow

More information

DFT: Discrete Fourier Transform

DFT: Discrete Fourier Transform : Discrt Fourir Trasform Cogruc (Itgr modulo m) I this sctio, all lttrs stad for itgrs. gcd m, = th gratst commo divisor of ad m Lt d = gcd(,m) All th liar combiatios r s m of ad m ar multils of d. a b

More information

(ii) Q.2 Reduce the following matrix to normal form and find its rank.

(ii) Q.2 Reduce the following matrix to normal form and find its rank. B. E. Semester- (All Brach ecept Aero. Questio Bak Each questio has marks. Q. Fid the rak o 9 Q. Reduce the ollowig matri to ormal orm ad id its rak. Q. Fid iverse o a matri b Gauss Jorda Reductio method

More information

Extensive Form Games with Incomplete Information. Microeconomics II Signaling. Signaling Examples. Signaling Games

Extensive Form Games with Incomplete Information. Microeconomics II Signaling. Signaling Examples. Signaling Games Extnsiv Fom Gams ith Incomplt Inomation Micoconomics II Signaling vnt Koçksn Koç Univsity o impotant classs o xtnsiv o gams ith incomplt inomation Signaling Scning oth a to play gams ith to stags On play

More information

Counting Functions and Subsets

Counting Functions and Subsets CHAPTER 1 Coutig Fuctios ad Subsets This chapte of the otes is based o Chapte 12 of PJE See PJE p144 Hee ad below, the efeeces to the PJEccles book ae give as PJE The goal of this shot chapte is to itoduce

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

FIR Filter Design: Part I

FIR Filter Design: Part I EEL3: Discrete-Time Sigals ad Systems FIR Filter Desig: Part I. Itroductio FIR Filter Desig: Part I I this set o otes, we cotiue our exploratio o the requecy respose o FIR ilters. First, we cosider some

More information

Induction. Induction and Recursion. Induction is a very useful proof technique

Induction. Induction and Recursion. Induction is a very useful proof technique Iductio Iductio is vey useul poo techique Iductio d Recusio CSC-59 Discete Stuctues I compute sciece, iductio is used to pove popeties o lgoithms Iductio d ecusio e closely elted Recusio is desciptio method

More information

Collisionless Hall-MHD Modeling Near a Magnetic Null. D. J. Strozzi J. J. Ramos MIT Plasma Science and Fusion Center

Collisionless Hall-MHD Modeling Near a Magnetic Null. D. J. Strozzi J. J. Ramos MIT Plasma Science and Fusion Center Collisionlss Hall-MHD Modling Na a Magntic Null D. J. Stoi J. J. Ramos MIT Plasma Scinc and Fusion Cnt Collisionlss Magntic Rconnction Magntic connction fs to changs in th stuctu of magntic filds, bought

More information

Where do eigenvalues/eigenvectors/eigenfunctions come from, and why are they important anyway?

Where do eigenvalues/eigenvectors/eigenfunctions come from, and why are they important anyway? Where do eigevalues/eigevectors/eigeuctios come rom, ad why are they importat ayway? I. Bacgroud (rom Ordiary Dieretial Equatios} Cosider the simplest example o a harmoic oscillator (thi o a vibratig strig)

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

(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

Neural Networks The ADALINE

Neural Networks The ADALINE Lat Lctu Summay Intouction to ua to Bioogica uon Atificia uon McCuoch an itt LU Ronbatt cton Aan Bnaino, a@i.it.ut.t Machin Laning, 9/ ua to h ADALI M A C H I L A R I G 9 / cton Limitation cton aning u

More information

STATISTICAL MECHANICS OF DIATOMIC GASES

STATISTICAL MECHANICS OF DIATOMIC GASES Pof. D. I. ass Phys54 7 -Ma-8 Diatomic_Gas (Ashly H. Cat chapt 5) SAISICAL MECHAICS OF DIAOMIC GASES - Fo monatomic gas whos molculs hav th dgs of fdom of tanslatoy motion th intnal u 3 ngy and th spcific

More information

II.3. DETERMINATION OF THE ELECTRON SPECIFIC CHARGE BY MEANS OF THE MAGNETRON METHOD

II.3. DETERMINATION OF THE ELECTRON SPECIFIC CHARGE BY MEANS OF THE MAGNETRON METHOD II.3. DETEMINTION OF THE ELETON SPEIFI HGE Y MENS OF THE MGNETON METHOD. Wok pupos Th wok pupos is to dtin th atio btwn th absolut alu of th lcton chag and its ass, /, using a dic calld agnton. In this

More information

Anouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent

Anouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent oucms Couga Gas Mchal Kazha (6.657) Ifomao abou h Sma (6.757) hav b pos ol: hp://www.cs.hu.u/~msha Tch Spcs: o M o Tusay afoo. o Two paps scuss ach w. o Vos fo w s caa paps u by Thusay vg. Oul Rvw of Sps

More information