Chapter 3 Basic Crystallography and Electron Diffraction from Crystals. Lecture 12. CHEM 793, 2008 Fall

Size: px
Start display at page:

Download "Chapter 3 Basic Crystallography and Electron Diffraction from Crystals. Lecture 12. CHEM 793, 2008 Fall"

Transcription

1 Chapt 3 Bac Cytalloaphy and Elcton Dacton om Cytal Lctu 1 CHEM 793, 008 all

2 Announcmnt Mdtm Exam: Oct., Wdnday, :30 4:30 CHEM 793, 008 all

3 Th xctaton o, Ba' Law and th Lau quaton pdct dacton at only pc Ba anl o an nnt cytal. Many dacton xpmnt (pcally n TEM) a cad out on pcmn whch a thn n at lat on dmnon. Th ct o mall dmnon to allow dacton ov a an o anl clo to th Ba anl. Th ha th am ct a th latv cpocal lattc pont (lpont a hown n u (a) ) w ttchd out n th dcton o thnn o th ampl. Th tad cpocal lattc pont a now calld lod (u b). Why w tll dacton, whn th Ba condton not xactly atd? a b b l-pont l-od CHEM 793, 008 all

4 Th xctaton o Th dvaton paamt, a Th Ewald ph can ntct wth a lod vn whn t m th actual cpocal lattc pont. Dacton, at ducd ntnty, can thn tll occu. Th dvaton paamt,, dn how clo a patcula lod to th Ewald ph. I w allow tan, th dacton vcto K thn vn by vctoally addn th dvaton paamt to th cpocal vcto, o: K b Th dvaton paamt dnd to b potv n th dcton o th bam (downwad ) and natv t pont upwad a hown n u b. Th vcto,, a mau o how a w dvat om th xact Ba condton. CHEM 793, 008 all

5 Th xctaton o Th dvaton paamt, a In cpocal pac, th dacton vcto K vn by: K D I A dactd bam only a whn K.. t a vcto btwn cpocal lattc pont. I w allow tan o cpocal lattc pont, thn th dacton vcto vn by: K K In a thn cytal, dacton may b thu b n om a patcula t o ncdnt bam anl clo toth (not jut a nl anl), and/o a an o cytal ontaton. Th ct o tan that lattc pont whch do not touch Ewald' ph but a clo, can tll v dactd bam. Howv, thy wll hav a ducd bam ntnty. Th ntnty o th dactd bam va wth th valu o th dvaton paamt a hown n u b CHEM 793, 008 all b

6 Knmatcal Thoy o Elcton dacton Dcbn th anula dpndnc o th dactd wav, ψ(k), mttd om dnt aanmnt o atom. Explann how a tanlatonally-podc aanmnt o atom n a cytal pmt ton contuctv ntnc btwn ndvdual wavlt, catn th Ba dacton. Aumpton o nmatcal thoy that th ncdnt wav cattd latcally cohntly by ndvdual atom. Knmatcal thoy can b ud to calculat th tuctu acto o th unt cll. o lcton dacton contat om la atu uch a cytal hap and cytalln dct, nmatcal thoy uually qualtatv. Knmatcal thoy mo quanttatv o X-ay dacton bcau X-ay cattn much wa than lcton dacton. Quanttatv ult o ton lcton dacton qu th dynamcal thoy, whch wll not b dcud n dtal n th cla. Chc th txtboo o mo nomaton about dynamc thoy CHEM 793, 008 all

7 Elcton dacton om a matal h 8m 0 ψ ( ') [ E V ( ')] ψ ( ') 0 Dtcto K Th ncdnt lcton wav nd th cattn atom at th tmndpndnt SchÖdn quaton. h: Pan contant, m 0 : tatonay lcton ma, : atom coodnat E: potntal o lcton V: potntal o matal K K o K0 K0 KK- K0 Wav-vcto and poton vcto o lcton cattn CHEM 793, 008 all

8 CHEM 793, 008 all 0 ') ( ')] ( [ ') ( 8 0 V E m h ψ ψ I th wav undmnhd and cattd only onc by atom ( th aumpton vald whn th cattn wa). W hav th t Bon appoxmaton oluton: ' 3 ' ' ) ( d V h m ψ So th cattd pat o th wav ' 3 ' ' 0 ) ( 0 d V h m catt ψ

9 CHEM 793, 008 all Th cattd pat o th wav ' 3 ' ' 0 ) ( 0 d V h m ψ () th cattn acto. Th cattd wav popotonal to th ou tanom o th cattn potntal. w wll mply th tm to apply t.

10 CHEM 793, 008 all S at ψ ψ acto tuctu acto hap S ba at lattc

11 So, bcc tuctu acto ul: Th um o th th nt h,, l mut b an vn numb. o xampl, bcc W, th lowt-od allowd dacton a (110), (00), (11), (0), (310), (), (31), (440), (330), (411), (40), tc., but dacton uch a (100), (111), (10), tc. a obddn. Th ul appl to th oth cntd lattc: body cntd, thohombc, and body cntd ttaonal. obddn Dacton CHEM 793, 008 all

12 Only al pat dtmn th tuctu acto n blow quaton, th tm K. nt o cytal ba at tuctu acto h a* b* l c* x a y b z c a vcto whch dn th locaton o ach atom wthn unt cll, thn w can wt tuctu acto a: hl ( hx y lz ) o am atom n unt cll, ha dntcal valu CHEM 793, 008 all

13 hl ( hx y lz ) o bcc cytal: th lattc pont nclud (0,0,0), (1/,1/,1/) bcc bcc bcc ( hx y lz ) { ( h l ) 1 } h l vn 0 h l odd o cc acto ul: th th nt h,,l mut b all vn o all odd. o xampl, th lowt od dacton a (111), (00), (0), (311), (), (400), (331), (40), but oth dacton uch a th (100), (110), (10), (11), tc. a obddn. CHEM 793, 008 all

14 Suplattc Dacton Appln th bcc analy to B tuctu uch a NAl ntmtallc o B tuctu, th atom n th cnt dnt om atom at con. o NAl, Al n cnt, and N n con. So, N ba (0,0,0), and Al ba (1/,1/,1/) Thn NAl NAl NAl N N N N Al Al ( hx y lz ) ( h0 0 l0) Al ( h l ) Al h l vn h l odd h l Intad o zo dactd ntnty, th (100) dactd om B-odd NAl ha an ntnty popotonal to: I(100) N Al wa CHEM 793, 008 all Al N B-NAl unt cll

15 (00) NAl ( hx y lz ) (100) (00) NAl NAl N N N N Al Al ( h0 0 l0) Al ( h l ) Al h l vn h l odd h l NAl (001) dacton (010) On th oth hand, th allowd dacton om bcc cytal, th undamntal dacton,.. th (00), hav ntnty: I (00) N Al ton Th (100) dacton calld a uplattc dacton. It lct th podcty o c lattc upon whch B tuctu contuctd un a ba o two dnt atom. CHEM 793, 008 all Al N B-NAl unt cll

16 (00) (00) (100) (010) (00) (100) Wa ton (000) (010) (00) B-NAl up-lattc (001) dacton pattn CHEM 793, 008 all

17 Cytal Shap acto S lattc ba at hap acto tuctu acto o vy la cytal, th hap acto v lttl nomaton about th cytal hap, and not vy nttn,.. o c cytal: ψ I catt S c ψ ψ * N at c N at So o vy la cytal, th hap acto ntnty bcom nntly hh and nntmally naow. Th hap acto mot nttn o mall cytal. CHEM 793, 008 all

18 Cytal Shap acto S lattc hap acto o convnnc, w acc om nalty by aumn that th mall cytal a ctanula pm wth N x,n y, and N z unt cll alon th dcton a hown n u c N y b N x a N z c b a An thn-ol pcmn modld a a ctanula lab mad up o ctanula unt cll o d a,b,c. Th a Nx cll n th x dcton, Ny cll n th y dcton, and Nz n th z dcton Lt n n n z n x y n x a n 0,1... N 0,1... N 0,1... N x y z y b n z c CHEM 793, 008 all

19 CHEM 793, 008 all catt I maxmum th Lau condton and th ntnty a Th nt, whn n n n n n n, cattd wav Th ntnty o N a c c N b b N a a N I I z y x catt ψ ψ 3-D dtbuton o I z y x x N n K c N n K b N n K a n K a N,, n an nt,..., whn Th lad to th l-od da Th a ubday maxma o mnma o I a hown n u

20 CHEM 793, 008 all Dvaton vcto (): thn-ol ct c b a o c b a nt and notn that ba at lattc acto tuctu acto hap S and c o n b m a

21 CHEM 793, 008 all S S S lattc lattc lattc lattc lattc nt Th hap acto dpnd only on not

22 CHEM 793, 008 all ( ) ( ) l h l h at o n m at o n m at o n m l h at at a a at c b a c b a c b a ) ( ) 1 ( numb vn 0 ) 1 ( oddnumb cytal a bcc o ), ( ) (0, ), ( ) ( ) ( )/ ( )/ ( 0 0 tm ) ( (000), Th tuctu acto dpnd only on. Cond a bcc cytal

23 CHEM 793, 008 all c c N b b N a a N I I z y x catt ψ ψ catt n n n n n n, cattd wav Th ntnty o Th hap acto dpnd only on not. Th dactd ntnty not a contant o any poton alon th l-od. -D dtbuton o I I Th th nmatcal ntnty dtbuton about any cpocal lattc pont. Th ntnty popotonal to N whnv 0. I th cytal ha a unom thcn (no vaaton n Nx o xampl), th ntnty quaton how th a maxma and mnma n th dacton ntnty wth ncan valu o

24 ө Gomty dcpton o dacton ntnty vayn wth Obvd ntnty K S<0 S0 S>0 Ewald ph Rl-od Th l-od at hl whn th bam ө away om th xact Ba condton. Th Ewald ph ntcpt th lod at natv valu o whch dn th vcto K. Th ntnty o th dactd bam a a uncton o wh th Ewald ph cut th l-od hown on th ht o th daam. In th CHEM ca, 793, th 008 ntnty all ha alln almot zo.

25 Applcaton o hap acto, S () 1. Dacton om wd-hapd pcmn Top uac u how dacton om a wdd cytal. Rl-od alway nomal to th uac. Ewadl Sph Bottom uac whn >0, th two lod (l-1 and l-) nat a doublt. Rl-1 pot on th lt. Th mddl th matx l-od. G 1 l-1 1 S>0 l- G CHEM 793, 008 all

26 Applcaton o hap acto 1. Dacton om wd-hapd pcmn Top uac u how dacton om a wdd cytal. Rl-od alway nomal to th uac. Ewald Sph G S<0 Bottom uac whn <0, th two lod (l-1 and l-) nat a doublt. Rl-1 pot on th ht. Th mddl th matx l-od. 1 1 G S<0 l-1 l- CHEM 793, 008 all

27 Applcaton o hap acto 1. Dacton om wd-hapd pcmn Snc th lnth o l-od nvly popotonal to th pcmn thcn, th thnn th pcmn, th mo dacton pot wll occu n th pattn. A hown n u, a o dacton pattn w tan om a wdd cytal ampl. Th numb o dacton pot dca a th thcn o pcmn nca CHEM 793, 008 all

28 Applcaton o hap acto. Dacton om plana dct Spcmn Th ct o a thn nclnd plat n a ol. Whn 0, and th no plat, w only on pot n DP (dacton pattn) bcau th on l-od. O G Ewald Sph m: l-od o uac S0, and no platlt nd pcmn Inclnd platlt O G Spcmn CHEM 793, 008 all

29 Applcaton o hap acto. Dacton om plana dct Inclnd platlt Spcmn Th ct o a thn nclnd plat n a ol. N G Ewald Sph Whn 0, and th no plat, w only on pot n DP (dacton pattn) bcau th on l-od. O n: l-od o plat m: l-od o uac Whn <0, and th a plat, w two pot bcau th a two lod O N G S<0, and plat CHEM 793, 008 all

30 Applcaton o hap acto 3. Dacton om patcl Th pncpl n dtmnn th hap acto ntnty dtbuton o vaou patcl o cytal a mply mall bcom la and vc va. Th l-od hap alo appoxmatly th lct th dacton ntnty dtbuton. Small bcom la CHEM 793, 008 all La bcom mall

31 Applcaton o hap acto 3. Dacton om patcl Exampl o how pot n cpocal pac hav dnt hap, dpndn on th patcl whch a dactn z x y Th pncpl n dtmnn th hap acto ntnty dtbuton o vaou patcl o cytal a mply mall bcom la and vc va. Th l-od hap alo appoxmatly th lct th dacton ntnty dtbuton. Du cattn CHEM 793, 008 all

32 Applcaton o hap acto 4. Dacton om thn cytalln plat whch paalll to th lcton bam (a) (b) (a) Schmatc pntaton o th pcmn hown th pcptat, thn cytalln plat, a paalll to th lcton bam. (b). Th copondn dacton pattn how th lon ta( du cattn) caud by th thn plat-l patcl Sta CHEM 793, 008 all

33 Applcaton o hap acto 5. Dacton om nly twn tuctu whch nomal to th lcton bam Sta Twn tuctu (b). a how nly twnnd matntc Co NGa ol. Th twn tuctu dvd th cytal pac nto paat on wth vayn wdth, and thby wll v to om ot o ta n dacton pattn. Th dcton o ta, o cou, ppndcula to th twn plan.. b how th copondn zon ax dacton pattn. Th ta a nomal to th twn plan. Each cpocal lattc pont ha two pa o modulaton atllt, whch alo v to ta. CHEM 793, 008 all

34 HW#13: A pcptat ha th hap o ttahdon wth lnth o a a hown blow. What hould b th hap o th du cattn aound th undamntal dacton (.. lod hap)? Stch t a pcly a pobl, and ndcat th lnth n cpocal pac copondn to AB n al-pac. Not that ABBCACOCa Du: Oct. 15/08 C O A a B CHEM 793, 008 all

Chapter 3 Basic Crystallography and Electron Diffraction from Crystals. Lecture 11. CHEM 793, 2008 Fall

Chapter 3 Basic Crystallography and Electron Diffraction from Crystals. Lecture 11. CHEM 793, 2008 Fall Chapt 3 Basc Cystalloaphy and Elcton Dacton om Cystals Lctu CHEM 793 8 all Top o thn ol Cystal plan (hl) Bottom o thn ol Ba Law d snθ nλ hl CHEM 793 8 all Equons connctn th Cystal Paamts (h l) and d-spacn

More information

Period vs. Length of a Pendulum

Period vs. Length of a Pendulum Gaphcal Mtho n Phc Gaph Intptaton an Lnazaton Pat 1: Gaphng Tchnqu In Phc w u a vat of tool nclung wo, quaton, an gaph to mak mol of th moton of objct an th ntacton btwn objct n a tm. Gaph a on of th bt

More information

Multi-linear Systems and Invariant Theory. in the Context of Computer Vision and Graphics. Class 4: Mutli-View 3D-from-2D. CS329 Stanford University

Multi-linear Systems and Invariant Theory. in the Context of Computer Vision and Graphics. Class 4: Mutli-View 3D-from-2D. CS329 Stanford University Mult-lna Sytm and Invaant hoy n th Contxt of Comut Von and Gahc Cla 4: Mutl-Vw 3D-fom-D CS39 Stanfod Unvty Amnon Shahua Cla 4 Matal W Wll Cov oday Eola Gomty and Fundamntal Matx h lan+aallax modl and latv

More information

5- Scattering Stationary States

5- Scattering Stationary States Lctu 19 Pyscs Dpatmnt Yamou Unvsty 1163 Ibd Jodan Pys. 441: Nucla Pyscs 1 Pobablty Cunts D. Ndal Esadat ttp://ctaps.yu.du.jo/pyscs/couss/pys641/lc5-3 5- Scattng Statonay Stats Rfnc: Paagaps B and C Quantum

More information

Diffraction. Diffraction: general Fresnel vs. Fraunhofer diffraction Several coherent oscillators Single-slit diffraction. Phys 322 Lecture 28

Diffraction. Diffraction: general Fresnel vs. Fraunhofer diffraction Several coherent oscillators Single-slit diffraction. Phys 322 Lecture 28 Chapt 10 Phys 3 Lctu 8 Dffacton Dffacton: gnal Fsnl vs. Faunhof dffacton Sval cohnt oscllatos Sngl-slt dffacton Dffacton Gmald, 1600s: dffacto, dvaton of lght fom lna popagaton Dffacton s a consqunc of

More information

Diffraction. Diffraction: general Fresnel vs. Fraunhofer diffraction Several coherent oscillators Single-slit diffraction. Phys 322 Lecture 28

Diffraction. Diffraction: general Fresnel vs. Fraunhofer diffraction Several coherent oscillators Single-slit diffraction. Phys 322 Lecture 28 Chapt 10 Phys 3 Lctu 8 Dffacton Dffacton: gnal Fsnl vs. Faunhof dffacton Sval cohnt oscllatos Sngl-slt dffacton Dffacton Gmald, 1600s: dffacto, dvaton of lght fom lna popagaton Dffacton s a consqunc of

More information

Structure and Features

Structure and Features Thust l Roll ans Thust Roll ans Stutu an atus Thust ans onsst of a psly ma a an olls. Thy hav hh ty an hh loa apats an an b us n small spas. Thust l Roll ans nopoat nl olls, whl Thust Roll ans nopoat ylnal

More information

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

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

More information

( ) + is the distance from the point of interest to the location of the charge q i

( ) + is the distance from the point of interest to the location of the charge q i Elctcal Engy and apactanc 57. Bcaus lctc ocs a consvatv, th kntc ngy gand s qual to th dcas n lctcal potntal ngy, o + + 4 4 KE PE q( ).. so th coct choc s (a).. Fom consvaton o ngy, KE + PE KE + PE, o

More information

Exam 2 Solutions. Jonathan Turner 4/2/2012. CS 542 Advanced Data Structures and Algorithms

Exam 2 Solutions. Jonathan Turner 4/2/2012. CS 542 Advanced Data Structures and Algorithms CS 542 Avn Dt Stutu n Alotm Exm 2 Soluton Jontn Tun 4/2/202. (5 ont) Con n oton on t tton t tutu n w t n t 2 no. Wt t mllt num o no tt t tton t tutu oul ontn. Exln you nw. Sn n mut n you o u t n t, t n

More information

Signal Circuit and Transistor Small-Signal Model

Signal Circuit and Transistor Small-Signal Model Snal cut an anto Sall-Snal Mol Lctu not: Sc. 5 Sa & Sth 6 th E: Sc. 5.5 & 6.7 Sa & Sth 5 th E: Sc. 4.6 & 5.6 F. Najaba EE65 Wnt 0 anto pl lopnt Ba & Snal Ba Snal only Ba Snal - Ba? MOS... : : S... MOS...

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

Applications of Lagrange Equations

Applications of Lagrange Equations Applcaton of agang Euaton Ca Stuy : Elctc Ccut ng th agang uaton of oton, vlop th athatcal ol fo th ccut hown n Fgu.Sulat th ult by SIMI. Th ccuty paat a: 0.0 H, 0.00 H, 0.00 H, C 0.0 F, C 0. F, 0 Ω, Ω

More information

Jones vector & matrices

Jones vector & matrices Jons vctor & matrcs PY3 Colást na hollscol Corcagh, Ér Unvrst Collg Cork, Irland Dpartmnt of Phscs Matr tratmnt of polarzaton Consdr a lght ra wth an nstantanous -vctor as shown k, t ˆ k, t ˆ k t, o o

More information

MOS transistors (in subthreshold)

MOS transistors (in subthreshold) MOS tanito (in ubthhold) Hitoy o th Tanito Th tm tanito i a gnic nam o a olid-tat dvic with 3 o mo tminal. Th ild-ct tanito tuctu wa it dcibd in a patnt by J. Lilinld in th 193! t took about 4 ya bo MOS

More information

(( )( )) = = S p S p = S p p m ( )

(( )( )) = = S p S p = S p p m ( ) 36 Chapt 3. Rnoalization Toolit Poof of th oiginal Wad idntity o w nd O p Σ i β = idβ γ is p γ d p p π π π p p S p = id i d = id i S p S p d π β γ γ γ i β i β β γ γ β γ γ γ p = id is p is p d = Λ p, p.

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

GRAVITATION. (d) If a spring balance having frequency f is taken on moon (having g = g / 6) it will have a frequency of (a) 6f (b) f / 6

GRAVITATION. (d) If a spring balance having frequency f is taken on moon (having g = g / 6) it will have a frequency of (a) 6f (b) f / 6 GVITTION 1. Two satllits and o ound a plant P in cicula obits havin adii 4 and spctivly. If th spd of th satllit is V, th spd of th satllit will b 1 V 6 V 4V V. Th scap vlocity on th sufac of th ath is

More information

EE 584 MACHINE VISION

EE 584 MACHINE VISION MTU 584 Lctu Not by A.AydnALATAN 584 MACHIN VISION Photomtc Sto Radomty BRDF Rflctanc Ma Rcovng Sufac Ontaton MTU 584 Lctu Not by A.AydnALATAN Photomtc Sto It obl to cov th ontaton of ufac atch fom a numb

More information

Homework: Due

Homework: Due hw-.nb: //::9:5: omwok: Du -- Ths st (#7) s du on Wdnsday, //. Th soluton fom Poblm fom th xam s found n th mdtm solutons. ü Sakua Chap : 7,,,, 5. Mbach.. BJ 6. ü Mbach. Th bass stats of angula momntum

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

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

(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

GRAVITATION 4) R. max. 2 ..(1) ...(2)

GRAVITATION 4) R. max. 2 ..(1) ...(2) GAVITATION PVIOUS AMCT QUSTIONS NGINING. A body is pojctd vtically upwads fom th sufac of th ath with a vlocity qual to half th scap vlocity. If is th adius of th ath, maximum hight attaind by th body

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

Harmonic oscillator approximation

Harmonic oscillator approximation armonc ocllator approxmaton armonc ocllator approxmaton Euaton to be olved We are fndng a mnmum of the functon under the retrcton where W P, P,..., P, Q, Q,..., Q P, P,..., P, Q, Q,..., Q lnwgner functon

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

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

Melitz-type Computable General Equilibrium Model

Melitz-type Computable General Equilibrium Model Mlt-ty Coutabl Gnal Equlbu Modl Auut 23 26 Nobuo Hoo Natonal Gaduat Inttut o Polcy Stud noo@.ac.. Modl Outln A Mlt-ty coutabl nal qulbu (CGE) odl dvlod on t ba o t tandad CGE odl by Hoo t al. (2) wt t

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

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

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

Massachusetts Institute of Technology Introduction to Plasma Physics

Massachusetts Institute of Technology Introduction to Plasma Physics Massachustts Insttut of Tchnology Intoducton to Plasma Physcs NAME 6.65J,8.63J,.6J R. Pak Dcmb 5 Fnal Eam :3-4:3 PM NOTES: Th a 8 pags to th am, plus on fomula sht. Mak su that you copy s complt. Each

More information

Scalars and Vectors Scalar

Scalars and Vectors Scalar Scalas and ectos Scala A phscal quantt that s completel chaacteed b a eal numbe (o b ts numecal value) s called a scala. In othe wods a scala possesses onl a magntude. Mass denst volume tempeatue tme eneg

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

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

The Random Phase Approximation:

The Random Phase Approximation: Th Random Phas Appoxmaton: Elctolyts, Polym Solutons and Polylctolyts I. Why chagd systms a so mpotant: thy a wat solubl. A. bology B. nvonmntally-fndly polym pocssng II. Elctolyt solutons standad dvaton

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

Control Systems. Lecture 8 Root Locus. Root Locus. Plant. Controller. Sensor

Control Systems. Lecture 8 Root Locus. Root Locus. Plant. Controller. Sensor Cotol Syt ctu 8 Root ocu Clacal Cotol Pof. Eugo Schut hgh Uvty Root ocu Cotoll Plat R E C U Y - H C D So Y C C R C H Wtg th loo ga a w a ttd tackg th clod-loo ol a ga va Clacal Cotol Pof. Eugo Schut hgh

More information

1 cos. where v v sin. Range Equations: for an object that lands at the same height at which it starts. v sin 2 i. t g. and. sin g

1 cos. where v v sin. Range Equations: for an object that lands at the same height at which it starts. v sin 2 i. t g. and. sin g SPH3UW Unt.5 Projectle Moton Pae 1 of 10 Note Phc Inventor Parabolc Moton curved oton n the hape of a parabola. In the drecton, the equaton of oton ha a t ter Projectle Moton the parabolc oton of an object,

More information

A study on Ricci soliton in S -manifolds.

A study on Ricci soliton in S -manifolds. IO Joual of Mathmatc IO-JM -IN: 78-578 p-in: 9-765 olum Iu I Ja - Fb 07 PP - wwwojoualo K dyavath ad Bawad Dpatmt of Mathmatc Kuvmpu vtyhaaahatta - 577 5 hmoa Kaataa Ida Abtact: I th pap w tudy m ymmtc

More information

Physics 202, Lecture 5. Today s Topics. Announcements: Homework #3 on WebAssign by tonight Due (with Homework #2) on 9/24, 10 PM

Physics 202, Lecture 5. Today s Topics. Announcements: Homework #3 on WebAssign by tonight Due (with Homework #2) on 9/24, 10 PM Physics 0, Lctu 5 Today s Topics nnouncmnts: Homwok #3 on Wbssign by tonight Du (with Homwok #) on 9/4, 10 PM Rviw: (Ch. 5Pat I) Elctic Potntial Engy, Elctic Potntial Elctic Potntial (Ch. 5Pat II) Elctic

More information

Grand Canonical Ensemble

Grand Canonical Ensemble Th nsmbl of systms mmrsd n a partcl-hat rsrvor at constant tmpratur T, prssur P, and chmcal potntal. Consdr an nsmbl of M dntcal systms (M =,, 3,...M).. Thy ar mutually sharng th total numbr of partcls

More information

GMm. 10a-0. Satellite Motion. GMm U (r) - U (r ) how high does it go? Escape velocity. Kepler s 2nd Law ::= Areas Angular Mom. Conservation!!!!

GMm. 10a-0. Satellite Motion. GMm U (r) - U (r ) how high does it go? Escape velocity. Kepler s 2nd Law ::= Areas Angular Mom. Conservation!!!! F Satllt Moton 10a-0 U () - U ( ) 0 f ow g dos t go? scap locty Kpl s nd Law ::= Aas Angula Mo. Consaton!!!! Nwton s Unsal Law of Gaty 10a-1 M F F 1) F acts along t ln connctng t cnts of objcts Cntal Foc

More information

CIVL 7/ D Boundary Value Problems - Axisymmetric Elements 1/8

CIVL 7/ D Boundary Value Problems - Axisymmetric Elements 1/8 CIVL 7/8 -D Bounday Valu Poblms - xsymmtc Elmnts /8 xsymmtc poblms a somtms fd to as adally symmtc poblms. hy a gomtcally th-dmnsonal but mathmatcally only two-dmnsonal n th physcs of th poblm. In oth

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

Shortest Paths in Graphs. Paths in graphs. Shortest paths CS 445. Alon Efrat Slides courtesy of Erik Demaine and Carola Wenk

Shortest Paths in Graphs. Paths in graphs. Shortest paths CS 445. Alon Efrat Slides courtesy of Erik Demaine and Carola Wenk S 445 Shortst Paths n Graphs lon frat Sls courtsy of rk man an arola Wnk Paths n raphs onsr a raph G = (V, ) wth -wht functon w : R. Th wht of path p = v v v k s fn to xampl: k = w ( p) = w( v, v + ).

More information

Differential Kinematics

Differential Kinematics Lctu Diffntia Kinmatic Acknowgmnt : Pof. Ouama Khatib, Robotic Laboato, tanfo Univit, UA Pof. Ha Aaa, AI Laboato, MIT, UA Guiing Qution In obotic appication, not on th poition an ointation, but th vocit

More information

Exam 1. Sept. 22, 8:00-9:30 PM EE 129. Material: Chapters 1-8 Labs 1-3

Exam 1. Sept. 22, 8:00-9:30 PM EE 129. Material: Chapters 1-8 Labs 1-3 Eam ept., 8:00-9:30 PM EE 9 Mateal: Chapte -8 Lab -3 tandadzaton and Calbaton: Ttaton: ue of tandadzed oluton to detemne the concentaton of an unknown. Rele on a eacton of known tochomet, a oluton wth

More information

E-Companion: Mathematical Proofs

E-Companion: Mathematical Proofs E-omnon: Mthemtcl Poo Poo o emm : Pt DS Sytem y denton o t ey to vey tht t ncee n wth d ncee n We dene } ] : [ { M whee / We let the ttegy et o ech etle n DS e ]} [ ] [ : { M w whee M lge otve nume oth

More information

Chapter 19 Webassign Help Problems

Chapter 19 Webassign Help Problems Chapte 9 Webaign Help Poblem 4 5 6 7 8 9 0 Poblem 4: The pictue fo thi poblem i a bit mileading. They eally jut give you the pictue fo Pat b. So let fix that. Hee i the pictue fo Pat (a): Pat (a) imply

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

Exercises for lectures 7 Steady state, tracking and disturbance rejection

Exercises for lectures 7 Steady state, tracking and disturbance rejection Exrc for lctur 7 Stady tat, tracng and dturbanc rjcton Martn Hromčí Automatc control 06-3-7 Frquncy rpon drvaton Automatcé řízní - Kybrnta a robota W lad a nuodal nput gnal to th nput of th ytm, gvn by

More information

The Backpropagation Algorithm

The Backpropagation Algorithm The Backpopagaton Algothm Achtectue of Feedfowad Netwok Sgmodal Thehold Functon Contuctng an Obectve Functon Tanng a one-laye netwok by teepet decent Tanng a two-laye netwok by teepet decent Copyght Robet

More information

5.61 Fall 2007 Lecture #2 page 1. The DEMISE of CLASSICAL PHYSICS

5.61 Fall 2007 Lecture #2 page 1. The DEMISE of CLASSICAL PHYSICS 5.61 Fall 2007 Lctu #2 pag 1 Th DEMISE of CLASSICAL PHYSICS (a) Discovy of th Elcton In 1897 J.J. Thomson discovs th lcton and masus ( m ) (and inadvtntly invnts th cathod ay (TV) tub) Faaday (1860 s 1870

More information

(( ) ( ) ( ) ( ) ( 1 2 ( ) ( ) ( ) ( ) Two Stage Cluster Sampling and Random Effects Ed Stanek

(( ) ( ) ( ) ( ) ( 1 2 ( ) ( ) ( ) ( ) Two Stage Cluster Sampling and Random Effects Ed Stanek Two ag ampling and andom ffct 8- Two Stag Clu Sampling and Random Effct Ed Stank FTE POPULATO Fam Labl Expctd Rpon Rpon otation and tminology Expctd Rpon: y = and fo ach ; t = Rpon: k = y + Wk k = indx

More information

Lecture 2: Frequency domain analysis, Phasors. Announcements

Lecture 2: Frequency domain analysis, Phasors. Announcements EECS 5 SPRING 24, ctu ctu 2: Fquncy domain analyi, Phao EECS 5 Fall 24, ctu 2 Announcmnt Th cou wb it i http://int.c.bkly.du/~5 Today dicuion ction will mt Th Wdnday dicuion ction will mo to Tuday, 5:-6:,

More information

How to Use. The Bears Beat the Sharks!

How to Use. The Bears Beat the Sharks! Hw t U Th uc vd 24 -wd dng ctn bd n wht kd ncunt vy dy, uch mv tng, y, n Intnt ch cn. Ech ctn ccmnd by tw w-u ctc g ng tudnt cmhnn th ctn. Th dng ctn cn b ud wth ndvdu, m gu, th wh c. Th B cnd bmn, Dn

More information

Physics 120. Exam #1. April 15, 2011

Physics 120. Exam #1. April 15, 2011 Phyc 120 Exam #1 Aprl 15, 2011 Name Multple Choce /16 Problem #1 /28 Problem #2 /28 Problem #3 /28 Total /100 PartI:Multple Choce:Crclethebetanwertoeachqueton.Anyothermark wllnotbegvencredt.eachmultple

More information

Environmental Engineering / Fundamentals of Fluid Mechanics and Heat Transfer 2017/2018

Environmental Engineering / Fundamentals of Fluid Mechanics and Heat Transfer 2017/2018 H H Envonmntal Engnng / Fundamntal o Flud Mcanc and Hat an 07/08. Dtmn t tack pu n a buldng wc m g, t ndoo a tmpatu = +0 C and outdoo a tmpatu = C. Wat t nutal lvl gt, t a two opnng n t buldng nvlop, on

More information

19 The Born-Oppenheimer Approximation

19 The Born-Oppenheimer Approximation 9 The Bon-Oppenheme Appoxmaton The full nonelatvstc Hamltonan fo a molecule s gven by (n a.u.) Ĥ = A M A A A, Z A + A + >j j (883) Lets ewte the Hamltonan to emphasze the goal as Ĥ = + A A A, >j j M A

More information

STRIPLINES. A stripline is a planar type transmission line which is well suited for microwave integrated circuitry and photolithographic fabrication.

STRIPLINES. A stripline is a planar type transmission line which is well suited for microwave integrated circuitry and photolithographic fabrication. STIPLINES A tiplin i a plana typ tanmiion lin hih i ll uitd fo mioav intgatd iuity and photolithogaphi faiation. It i uually ontutd y thing th nt onduto of idth, on a utat of thikn and thn oving ith anoth

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

School of Electrical Engineering. Lecture 2: Wire Antennas

School of Electrical Engineering. Lecture 2: Wire Antennas School of lctical ngining Lctu : Wi Antnnas Wi antnna It is an antnna which mak us of mtallic wis to poduc a adiation. KT School of lctical ngining www..kth.s Dipol λ/ Th most common adiato: λ Dipol 3λ/

More information

Chapter 10 DIELECTRICS. Dielectrics

Chapter 10 DIELECTRICS. Dielectrics 86 Dlctcs Chat DILCTRICS Dlctcs : Dlctcs a fct nsulatos. In dlctcs lctons a vy tghtly bound to th atoms so that at odnay tmatus thy do not conduct any lctc cunt. xamls: Solds: glass, ocln; gass: H, N ;

More information

Handout 30. Optical Processes in Solids and the Dielectric Constant

Handout 30. Optical Processes in Solids and the Dielectric Constant Haut Otal Sl a th Dlt Ctat I th ltu yu wll la: La ut Ka-Kg lat Dlt tat l Itba a Itaba tbut t th lt tat l C 47 Sg 9 Faha Raa Cll Uty Chag Dl, Dl Mt, a lazat Dty A hag l t a gat a a t hag aat by ta: Q Q

More information

Elasticity 1. 10th April c 2003, Michael Marder

Elasticity 1. 10th April c 2003, Michael Marder Elasticity 0th Apil 003 c 003, Michal Mad Gnal Thoy of Lina Elasticity Bfo dfomation Aft dfomation Many ways to div lasticity. Cold div fom thoy of atoms and thi intactions. Howv, this appoach is not histoically

More information

a v2 r a' (4v) 2 16 v2 mg mg (2.4kg)(9.8m / s 2 ) 23.52N 23.52N N

a v2 r a' (4v) 2 16 v2 mg mg (2.4kg)(9.8m / s 2 ) 23.52N 23.52N N Conceptual ewton s Law Applcaton Test Revew 1. What s the decton o centpetal acceleaton? see unom ccula moton notes 2. What aects the magntude o a ctonal oce? see cton notes 3. What s the deence between

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

CHAPTER 5 CIRCULAR MOTION

CHAPTER 5 CIRCULAR MOTION CHAPTER 5 CIRCULAR MOTION and GRAVITATION 5.1 CENTRIPETAL FORCE It is known that if a paticl mos with constant spd in a cicula path of adius, it acquis a cntiptal acclation du to th chang in th diction

More information

( V ) 0 in the above equation, but retained to keep the complete vector identity for V in equation.

( V ) 0 in the above equation, but retained to keep the complete vector identity for V in equation. Cuvlna Coodnats Outln:. Otogonal cuvlna coodnat systms. Dffntal opatos n otogonal cuvlna coodnat systms. Dvatvs of t unt vctos n otogonal cuvlna coodnat systms 4. Incompssbl N-S quatons n otogonal cuvlna

More information

ES 330 Electronics II Homework # 5 (Fall 2016 Due Wednesday, October 4, 2017)

ES 330 Electronics II Homework # 5 (Fall 2016 Due Wednesday, October 4, 2017) Pag1 Na olutions E 33 Elctonics II Howok # 5 (Fall 216 Du Wdnsday, Octob 4, 217) Pobl 1 (25 pots) A coon-itt aplifi uss a BJT with cunt ga = 1 whn biasd at I =.5 A. It has a collcto sistanc of = 1 k. (a)

More information

MECH321 Dynamics of Engineering System Week 4 (Chapter 6)

MECH321 Dynamics of Engineering System Week 4 (Chapter 6) MH3 Dynamc of ngnrng Sytm Wk 4 (haptr 6). Bac lctrc crcut thor. Mathmatcal Modlng of Pav rcut 3. ompl mpdanc Approach 4. Mchancal lctrcal analogy 5. Modllng of Actv rcut: Opratonal Amplfr rcut Bac lctrc

More information

JEE-2017 : Advanced Paper 2 Answers and Explanations

JEE-2017 : Advanced Paper 2 Answers and Explanations DE 9 JEE-07 : Advancd Papr Answrs and Explanatons Physcs hmstry Mathmatcs 0 A, B, 9 A 8 B, 7 B 6 B, D B 0 D 9, D 8 D 7 A, B, D A 0 A,, D 9 8 * A A, B A B, D 0 B 9 A, D 5 D A, B A,B,,D A 50 A, 6 5 A D B

More information

THIS PAGE DECLASSIFIED IAW E

THIS PAGE DECLASSIFIED IAW E THS PAGE DECLASSFED AW E0 2958 BL K THS PAGE DECLASSFED AW E0 2958 THS PAGE DECLASSFED AW E0 2958 B L K THS PAGE DECLASSFED AW E0 2958 THS PAGE DECLASSFED AW EO 2958 THS PAGE DECLASSFED AW EO 2958 THS

More information

Linear Approximating to Integer Addition

Linear Approximating to Integer Addition Lear Approxmatg to Iteger Addto L A-Pg Bejg 00085, P.R. Cha apl000@a.com Abtract The teger addto ofte appled cpher a a cryptographc mea. I th paper we wll preet ome reult about the lear approxmatg for

More information

Theoretical Electron Impact Ionization, Recombination, and Photon Emissivity Coefficient for Tungsten Ions

Theoretical Electron Impact Ionization, Recombination, and Photon Emissivity Coefficient for Tungsten Ions TM on Unctanty ssssmnt and Bnchmak Expmnts fo &M Data fo Fuson pplcatons Thotcal Elcton Impact Ionzaton, Rcombnaton, and Photon Emssvty Coffcnt fo Tungstn Ions D.-H. Kwon, Koa tomc Engy Rsach Insttut 2016.

More information

English Made Easy: Foundation Book 1 Notes for parents

English Made Easy: Foundation Book 1 Notes for parents a nh Ma ay: Fnan 1 pan h b n hp y ch an ay an by cn n h n n ach h n h aphab. h h achn an ca phnc. h nan, achn an wn ac w nca y ch an h na ach, a w a h n n ach a an hw wn n h pa. y cpn h pa h b, y ch w

More information

Integral Vector Operations and Related Theorems Applications in Mechanics and E&M

Integral Vector Operations and Related Theorems Applications in Mechanics and E&M Dola Bagayoko (0) Integal Vecto Opeatons and elated Theoems Applcatons n Mechancs and E&M Ι Basc Defnton Please efe to you calculus evewed below. Ι, ΙΙ, andιιι notes and textbooks fo detals on the concepts

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

Electrochemical Equilibrium Electromotive Force. Relation between chemical and electric driving forces

Electrochemical Equilibrium Electromotive Force. Relation between chemical and electric driving forces C465/865, 26-3, Lctur 7, 2 th Sp., 26 lctrochmcal qulbrum lctromotv Forc Rlaton btwn chmcal and lctrc drvng forcs lctrochmcal systm at constant T and p: consdr G Consdr lctrochmcal racton (nvolvng transfr

More information

LINEAR MOMENTUM. product of the mass m and the velocity v r of an object r r

LINEAR MOMENTUM. product of the mass m and the velocity v r of an object r r LINEAR MOMENTUM Imagne beng on a skateboad, at est that can move wthout cton on a smooth suace You catch a heavy, slow-movng ball that has been thown to you you begn to move Altenatvely you catch a lght,

More information

EE243 Advanced Electromagnetic Theory Lec # 22 Scattering and Diffraction. Reading: Jackson Chapter 10.1, 10.3, lite on both 10.2 and 10.

EE243 Advanced Electromagnetic Theory Lec # 22 Scattering and Diffraction. Reading: Jackson Chapter 10.1, 10.3, lite on both 10.2 and 10. Appid M Fa 6, Nuuth Lctu # V //6 43 Advancd ctomagntic Thoy Lc # Scatting and Diffaction Scatting Fom Sma Obcts Scatting by Sma Dictic and Mtaic Sphs Coction of Scatts Sphica Wav xpansions Scaa Vcto Rading:

More information

Mon. Tues. Wed. Lab Fri Electric and Rest Energy

Mon. Tues. Wed. Lab Fri Electric and Rest Energy Mon. Tus. Wd. Lab Fi. 6.4-.7 lctic and Rst ngy 7.-.4 Macoscoic ngy Quiz 6 L6 Wok and ngy 7.5-.9 ngy Tansf R 6. P6, HW6: P s 58, 59, 9, 99(a-c), 05(a-c) R 7.a bing lato, sathon, ad, lato R 7.b v. i xal

More information

Part I- Wave Reflection and Transmission at Normal Incident. Part II- Wave Reflection and Transmission at Oblique Incident

Part I- Wave Reflection and Transmission at Normal Incident. Part II- Wave Reflection and Transmission at Oblique Incident Apl 6, 3 Uboudd Mda Gudd Mda Chap 7 Chap 8 3 mls 3 o 3 M F bad Lgh wavs md by h su Pa I- Wav Rlo ad Tasmsso a Nomal Id Pa II- Wav Rlo ad Tasmsso a Oblqu Id Pa III- Gal Rlao Bw ad Wavguds ad Cavy Rsoao

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

Chapter 8. Linear Momentum, Impulse, and Collisions

Chapter 8. Linear Momentum, Impulse, and Collisions Chapte 8 Lnea oentu, Ipulse, and Collsons 8. Lnea oentu and Ipulse The lnea oentu p of a patcle of ass ovng wth velocty v s defned as: p " v ote that p s a vecto that ponts n the sae decton as the velocty

More information

Time to Recruitment for a Single Grade Manpower System with Two Thresholds, Different Epochs for Inter-Decisions and Exits Having Correlated Wastages

Time to Recruitment for a Single Grade Manpower System with Two Thresholds, Different Epochs for Inter-Decisions and Exits Having Correlated Wastages IOR Jouna of Mahmac IOR-JM -IN: 78-578 -IN: 39-765X. Voum 3 Iu 4 V. III Ju. u. 7 PP 38-4 www.oouna.o m o Rcumn fo a n ad Manow m wh wo hhod Dffn och fo In-Dcon x Havn Coad Waa. Ravchan ;. nvaan an Pofo

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

Dynamical Theory of Electron Diffraction. Dr. Hongzhou Zhang SNIAM

Dynamical Theory of Electron Diffraction. Dr. Hongzhou Zhang SNIAM Dynacal Teoy of lecton Dffacton D. Honou Zan oan@tcd.e SNIAM.6 896 4655 Lectue 4 Indexn Dffacton Patten To etod l, caea contant, ato of te dtance ZOLZ opute Poae ttp://ce.epfl.c/people/tadelann/es/ esv3_68.t

More information

Grid Transformations for CFD Calculations

Grid Transformations for CFD Calculations Coll of Ennn an Comput Scnc Mchancal Ennn Dpatmnt ME 69 Computatonal lu Dnamcs Spn Tct: 5754 Instuct: La Catto Intoucton G Tansfmatons f CD Calculatons W want to ca out ou CD analss n altnatv conat sstms.

More information

Bethe-Salpeter Equation Green s Function and the Bethe-Salpeter Equation for Effective Interaction in the Ladder Approximation

Bethe-Salpeter Equation Green s Function and the Bethe-Salpeter Equation for Effective Interaction in the Ladder Approximation Bh-Salp Equaon n s Funcon and h Bh-Salp Equaon fo Effcv Inacon n h Ladd Appoxmaon Csa A. Z. Vasconcllos Insuo d Físca-UFRS - upo: Físca d Hadons Sngl-Pacl Popagao. Dagam xpanson of popagao. W consd as

More information

CHAPTER 4 TWO-COMMODITY CONTINUOUS REVIEW INVENTORY SYSTEM WITH BULK DEMAND FOR ONE COMMODITY

CHAPTER 4 TWO-COMMODITY CONTINUOUS REVIEW INVENTORY SYSTEM WITH BULK DEMAND FOR ONE COMMODITY Unvety of Petoa etd Van choo C de Wet 6 CHAPTER 4 TWO-COMMODITY CONTINUOU REVIEW INVENTORY YTEM WITH BULK DEMAND FOR ONE COMMODITY A modfed veon of th chapte ha been accepted n Aa-Pacfc Jounal of Opeatonal

More information

Set of square-integrable function 2 L : function space F

Set of square-integrable function 2 L : function space F Set of squae-ntegable functon L : functon space F Motvaton: In ou pevous dscussons we have seen that fo fee patcles wave equatons (Helmholt o Schödnge) can be expessed n tems of egenvalue equatons. H E,

More information

Solving the Dirac Equation: Using Fourier Transform

Solving the Dirac Equation: Using Fourier Transform McNa Schola Reeach Jounal Volume Atcle Solvng the ac quaton: Ung oue Tanfom Vncent P. Bell mby-rddle Aeonautcal Unvety, Vncent.Bell@my.eau.edu ollow th and addtonal wok at: http://common.eau.edu/na Recommended

More information

Rigid Bodies: Equivalent Systems of Forces

Rigid Bodies: Equivalent Systems of Forces Engneeng Statcs, ENGR 2301 Chapte 3 Rgd Bodes: Equvalent Sstems of oces Intoducton Teatment of a bod as a sngle patcle s not alwas possble. In geneal, the se of the bod and the specfc ponts of applcaton

More information

Improvements on Waring s Problem

Improvements on Waring s Problem Improvement on Warng Problem L An-Png Bejng, PR Chna apl@nacom Abtract By a new recurve algorthm for the auxlary equaton, n th paper, we wll gve ome mprovement for Warng problem Keyword: Warng Problem,

More information

ME 200 Thermodynamics I Spring 2014 Examination 3 Thu 4/10/14 6:30 7:30 PM WTHR 200, CL50 224, PHY 112 LAST NAME FIRST NAME

ME 200 Thermodynamics I Spring 2014 Examination 3 Thu 4/10/14 6:30 7:30 PM WTHR 200, CL50 224, PHY 112 LAST NAME FIRST NAME M 00 hrodynac Sprng 014 xanaton 3 hu 4/10/14 6:30 7:30 PM WHR 00, CL50 4, PHY 11 Crcl your dvon: PHY 11 WHR 00 WHR 00 CL50 4 CL50 4 PHY 11 7:30 Joglkar 9:30 Wagrn 10:30 Gor 1:30 Chn :30 Woodland 4:30 Srcar

More information

Statistical Properties of the OLS Coefficient Estimators. 1. Introduction

Statistical Properties of the OLS Coefficient Estimators. 1. Introduction ECOOMICS 35* -- OTE 4 ECO 35* -- OTE 4 Stattcal Properte of the OLS Coeffcent Etmator Introducton We derved n ote the OLS (Ordnary Leat Square etmator ˆβ j (j, of the regreon coeffcent βj (j, n the mple

More information

User s Guide. Electronic Crossover Network. XM66 Variable Frequency. XM9 24 db/octave. XM16 48 db/octave. XM44 24/48 db/octave. XM26 24 db/octave Tube

User s Guide. Electronic Crossover Network. XM66 Variable Frequency. XM9 24 db/octave. XM16 48 db/octave. XM44 24/48 db/octave. XM26 24 db/octave Tube U Guid Elctnic Cv Ntwk XM66 Vaiabl Fquncy XM9 24 db/ctav XM16 48 db/ctav XM44 24/48 db/ctav XM26 24 db/ctav Tub XM46 24 db/ctav Paiv Lin Lvl XM126 24 db/ctav Tub Machand Elctnic Inc. Rcht, NY (585) 423

More information