Two ways of understanding electronic structure in solids:

Size: px
Start display at page:

Download "Two ways of understanding electronic structure in solids:"

Transcription

1 Bnd structure from the top down Two wys of understndng electronc structure n solds: Top-down - strt from free electron gs nd mpose correctons for ctully hvng on cores nd crystl lttce: nerly-free electron pcture. Bottom-up - consder electrons n ndvdul toms nd smll molecules, nd wtch wht hppens when lrger solds re ult up. In ths lecture we ll strt quc overvew of the top-down pproch; we ll loo t the ottom-up vew lter. Free electron gs fetures: Sngle-prtcle sttes leled y wvevector prmeter,, wth p =, =. m Boundry condtons only permt certn dscrete vlues of. Ignore nterctons: llowed mny-prtcle sttes re (totlly ntsymmetrc lner comntons of products of sngle-prtcle sttes. All three of these ponts re preserved n the nerly-free electron pcture. 1

2 Our strtegy: enerl propertes of electrons n perodc potentl Specfc emple: sngle-prtcle prolem n 1d n we perodc potentl - llustrtve. Set stge for lter dscussons of other nondeltes. Perodc potentl - Bloch Theorem Consder potentl V(r tht s perodc n spce wth some sptl perod R, V ( r + R = V ( r where R s n nteger lner comnton of some ss vectors: R = n + n + n Trnslton opertor: T f ( r = f ( r R R + Schroednger equton: H ψ ( r = + V ( r ψ ( r = ψ ( r m Snce H nd T R commute, ψ cn e smultneously n egenstte of oth: Hψ ( r = ψ ( r, T ψ ( r = c( R ψ ( r Snce two dfferent trnsltons commute, c ( R + R' = c( R c( R' R

3 Perodc potentl - Bloch Theorem II To preserve normlzton, t must e possle to wrte c s unt mgntude comple numer. c( = ep( π Ths mples c( R = ep( R where = 1 j 1 + = πδ j + The llowed vlues of re set y our choce of oundry condtons. We now see: T ψ ( r = ψ ( r + R = ep( R ψ ( r R 3 3, Bloch s Theorem. recprocl lttce vectors, defned here Bloch functons Suppose: u ( r = ep( r ψ ( r u ( r + R = ep( ( r + R ψ ( r + R = ep( r ψ ( r = u ( r So, f u (r s strctly perodc n R, sngle-prtcle wvefuncton tht utomtclly stsfes the Bloch relton s: ψ ( r = ep( r u ( r Sngle-prtcle egensttes of perodc potentls loo le plne wves modulted y functons tht re strctly perodc wth the sme perodcty s the potentl. 3

4 Bloch functons stll lels sttes, ut no longer drectly corresponds wth momentum. Sttes loo most le plne wves when s fr from recprocl lttce vector. Bloch theorem true for perodc potentls - don t hve to e we! Born-von Krmn oundry condtons Now mpose perodc oundry condtons, ssumng the sze of the smple n the drecton s N : ψ ( r = ψ ( r + N ( ψ ( r N = ep N ψ ( r + Bloch s thm. ep ( N = ep( πn j =, j = 1,,3 N = 3 = 1 j N N = 1 So, for lttce wth N=N 1 N N 3 stes, there re N llowed vlues of tht re consstent wth perodc oundry condtons. 4

5 Born-von Krmn oundry condtons 3 = = 1 j, j = 1,,3 N N So, for lttce wth N=N 1 N N 3 stes, there re N llowed vlues of tht re consstent wth perodc oundry condtons. Allowed volume n -spce per sngle-prtcle stte = ((π/l d, just s n free electron gs w/ perodc.c. cse! Cn mp out ll llowed vlues of even when restrctng components to mgntudes less thn the (nsde the frst Brlloun zone. For ech, there re multple solutons to the Schroednger equton (energy egenvlues; we numer these wth nd nde, usully leled n. Wht out lrger? Add recprocl lttce vector to : ψ n + ( r = ep( ( + r u = ep( r[ u = ep( r u ~ ( r = ψ n' ( r n + n + ( r ( rep( r] Any stte comptle wth oundry condtons nd wth outsde the frst zone s dentcl to stte nsde the frst zone wth dfferent nd nde! If we wnt, we cn lmt to just the frst Brlloun zone (mgntude of ech component smller thn the respectve nd stll e le to descre ll the sngle prtcle sttes. 5

6 nergy egenvlues Alterntely, we cn llow to rnge over ll -spce, nd lel the sttes such tht ( r = ( r n+ n Snce the energy s perodc n -spce wth the recprocl lttce, t hs mm nd mnm: For ech n, the energes of ll levels leled y fll n nd. nergy nd Fgure from Mrder. 6

7 7 Krong-Penney: specfc 1d toy model V( -V Two regmes: -V < < > Cse 1 -V < < We now tht: (, ( 1/ < < + + = V m Be Ae α ψ α α m De Ce < < + =, ( 1/ β ψ β β V( -V Then for Bloch s theorem:, ( ( ( < < + = + Be Ae u α α, ( ( ( < < + = + De Ce u β β c

8 Cse 1 contnued Need wvefuncton nd frst dervtve (nd hence u ( nd u ( to e contnuous t the edges of the wells. A + B = C + D ( α A ( α + B = ( β C ( β + D ( α Ae Ae ( α c ( α c + Be ( α + Be + ( α + c + ( α + c = Ce ( β = ( β Ce + De ( β ( β + ( β + De ( β + Four equtons, four unnowns. Resultng condton: α β cos( αc cosh( β sn( αcsnh( β = cos( αβ Cse Follow sme procedure. α + cos( αc cos( β sn( αcsn( = cos( α Both cses cn e wrtten s: F( F ( = cos( l Clerly, f F( > 1, ths cnnot e stsfed! Not ll re comptle wth oundry condtons. 8

9 9 We perodc potentls We cn do the generl prolem of sngle electron n we perodc potentl y perturton theory. = r r ( ( e c ψ Fourer decompose potentl V(r usng recprocl lttce vectors, nd wrte Schroednger equton: = + ' ' ( c V c m Free electron cse=unpertured cse: m q = q We perodc potentls When s fr wy from ny, frst order result: + + V Clerly somethng nterestng hppens when denomntor vnshes. Ths hppens t the edge of Brlloun zone, nd corresponds to the prtcle strongly dffrctng off the lttce potentl. The result ner tht pont: 4 ( V + ± V ± At tht pont:

10 Result: Sctterng off lttce potentl cuses gps to open t edges of Brlloun zone: From Kel To summrze: Perodc potentl mens sngle-electron egensttes re Bloch sttes. Perodc oundry condtons set the llowed vlues of. For gven, there re multple dscrete vlues of llowed. Sttes wth ner recprocl lttce vector (hvng perodcty tht s hrmonc of the lttce hve energes strongly ffected y lttce, even when lttce potentl s we. Result: energy gps open up t prtculr vlues of : not ll energes re llowed nymore. Note tht ths s ll for lrge ul crystllne solds. Wht s est wy to thn n nno cse? Wht hppens wth nterfces & defects? 1

11 Net tme Bsc nds n solds Dffrcton & crystl structure - very ref gude. 11

12 lectrons n we perod potentls II Wht we sw lst tme loong t the sngle-prtcle prolem: Perodc potentl mens sngle-electron egensttes re Bloch sttes. Perodc oundry condtons set the llowed vlues of. For gven, there re multple dscrete vlues of llowed. Sttes wth ner recprocl lttce vector (hvng perodcty tht s hrmonc of the lttce hve energes strongly ffected y lttce, even when lttce potentl s we. Result: energy gps open up t prtculr vlues of : not ll energes re llowed nymore. Crystl structure I In ul, mny solds re crystllne. Hve dscrete trnsltonl nd rottonl symmetres. Rel-spce structure s perodc - repettons of sngle unt cell. Smllest unt cell tht gves full structure: prmtve unt cell Cn descre structure y lttce nd ss. r 31 1 lttce ss 1

13 Crystl structure II Wgner-Setz prmtve cell: ll ponts closer to sngle lttce pont thn ny other. Type of stcng depends on energetcs of ondng. Surfces hve dfferent energes per tom thn ul, so nnoscle crystls (hgh surfce to volume rto cn hve dfferent structure thn ul mterls! Crystl structure III - Mller Indces Crystllogrpher s wy of lelng plnes of toms: Determne the ntercepts of the plne long the crystllogrphc es, n terms of unt cell dmensons. Te recprocls. Wrte s ntegers rther thn frctons. Negtves re wrtten usng overlnes: (-1 = (1 Trplets: (hl; qudruplets: (hjl

14 Common crystl structures Smple cuc (1,, (,1, (,,1 Body-centered cuc /(-1,1,1 /(1,-1,1 /(1,1,-1 Fce-centered cuc /(,1,1 /(1,,1 /(1,1, Al, Cu, N, Sr, Rh, Pd, Ag, Ce, T, Ir, Pt, Au, P, Th Hegonl close-pced /(1,-3 1/, /(1, 3 1/, c(,,1 W, L, N, K, V, Cr, Fe, R, N, Mo, Cs, B, u, T Mg, Be, Sc, Te, Co, Zn, Y, Zr, Tc, Ru, d, T, Py, Ho, r, Tm, Lu, Hf, Re, Os, Tl Common crystl structures II - semconductors Dmond /(,1,1 /(1,,1 /(1,1, Two nterpenetrtng fcc lttces dsplced y 1/4. Result of ll sp 3 covlent onds. C, S, e, Sn Znc lende /(,1,1 /(1,,1 /(1,1, Two nterpenetrtng fcc lttces dsplced y 1/4, ech lttce dfferent speces. ZnS, AgI, AlAs, AlP, AlS, BAs, BN, BP, BeS, BeSe, BeTe, CdS, CuBr, CuCl, CuF, CuI, As, P, S, HgS, HgSe, HgTe, InAs, InP, MnS, MnSe, SC, ZnSe, ZnTe 3

15 Recprocl ss vectors We sw lst tme tht there re specl vectors n -spce (lso clled recprocl spce tht ehve le: j = πδ The defne lttce n recprocl spce just s the do n rel spce. In 3d, 1 = π 3 1 = π = π 3 j 3 ( 3 1 ( 3 1 ( Recprocl lttce vectors Usng the s, we cn uld up lttce n recprocl ( spce. The recprocl lttce s the set of ponts n recprocl spce gven y nteger lner comntons of the recprocl lttce vectors: = c + where c 1, c, c 3 re ntegers c c3 3 Wht s specl out the s? Any functon n rel spce wth the perodcty of the (rel spce lttce cn e wrtten ectly s sum le: 1 ρ ( r = ρ e r 4

16 Recprocl lttces Rel spce Recprocl spce SC π/ FCC 4π/ BCC 4π/ Brlloun zones I ch pont n the recprocl lttce s recprocl lttce vector. Rememer: when s close to such vector, the electronc sttes re strongly ffected y the lttce potentl (gps!. All unque vlues comptle wth.c. my e wrtten wthn the frst BZ - tht s, wthn the frst Wgner-Setz unt cell of recprocl spce. Wht do these Brlloun zones loo le? 5

17 Brlloun zone - FCC Γ = ( Χ = ( L = ( 1 W = ( K = ( U = ( Imge from Mrder. Brlloun zone - BCC Γ = ( H = (1 1 1 N = ( P = ( Imge from Mrder. 6

18 Why should we cre out Brlloun zones nd recprocl spce? Reson #1. Fllng of sttes n recprocl spce determnes electronc propertes of ul solds. Recll our free-electron gs procedure: Fnd llowed sngle prtcle sttes, leled y. Usng (, fgure out the energy levels of those sttes. For nonnterctng electrons, fnd mny prtcle ground stte y fllng those levels from the ottom up, two electrons per sngle-prtcle stte (spn. Cn do sme thng here, ut ( no longer smple! Bnd dgrms Imges from Blemore. Free prtcle We perodc potentl 7

19 Bnd dgrms Strt fllng sngle-prtcle sttes from the ottom. Where do we end up? F n mddle of nd: metl g F such tht nteger numer of nds ectly full: nd nsultor Specl cse: g s smll = ntrnsc semconductor. Complcton: Imges from Blemore. Lttce spcng depends on drecton. Result: nds cn overlp n energy. 8

20 Rel nd structures ermnum Dmond BZ Imges from Hrrson More out ths on Mondy. Why should we cre out Brlloun zones nd recprocl spce? Reson #. Plnes n recprocl spce leled y Mller ndces me dffrcton eperments possle! Brgg plnes: the set of ll equspced prllel plnes contnng ll the stes n lttce. π 1 1 π π The spcng etween (hl plnes s gven y where hl = h 1 + +l hl 3 9

21 Dffrcton Bsc de: Constructve nterference from perodc plnes leds to pes n dffrcted ntensty long drectons dependent on λ of ncomng wve. d θ θ θ θ Totl etr dstnce trveled y ottom ry = d sn θ. Constructve nterference requres Brgg condton d snθ = nλ Dffrcton nd ntenne In mny respects, dffrcton prolems for smll numers of sctterers re very smlr to prolems out ntenn rrys. Bsc methodology: Defne coordntes ncely. Assume ech sctterer s source of sphercl wves of wvenumer. Fnd mpltude t poston of nterest. A tot = A1 + A = A ep( r + A ep( r' y r r = r - 1

22 Dffrcton nd ntenne Me legtmte ppromtons. r >> r' r cosθ y θ r r = r - Fnd epresson for scttered ntensty, proportonl to mpltude : I ~ = = = A A A A tot ep( r + ep( ( r cosθ ep( r(1 + ep( ( cosθ 1+ ep( ( cosθ Dffrcton technques Sctterng of some wve from smple tells us out the structure of the smple. -ry dffrcton: electronc densty dstruton neutron dffrcton: mss densty dstruton, mgnetc orderng θ θ Send n, get out, wth =. Brgg condton ends up eng = hl. Intensty ~ Fourer component of lttce potentl. 11

23 Dervton of Brgg condton tr phse for lower pr of rys = ( d cosθ d cosθ ' + Assume = d = closest spcng = d ( ' Snce d s n emple of rel spce lttce vector R, nd ths phse must e n nteger multple of π to get constructve nterference, we fnd from defnton of s tht θ θ ( ' R = πj ( ' = The dfference n ncdent nd outgong must e recprocl lttce vector to constructve nterference ( dffrcton mmum. Dffrcted ntensty Incomng plne wves ch sctterng ste = source of outgong sphercl wves Scttered mpltude ~ For perodc lttce, ρ ( r = Intensty ~ Amp ~ ρ( r ρ e r e ( dr Integrl over smple volume r ( r e ρ For =, ntegrnd ~ 1; I ~ V Otherwse, I ~. dr 1

24 Types of dffrcton θ θ Sngle-crystl dffrcton: For fed λ, nowng smple orentton, dffrcton pes only t certn specfc ngles, when Brgg condton s stsfed -- Lue spots. Cn deduce structure from spot postons. Spcng of spots s nversely prop. to lttce spcngs. Powder dffrcton: Smple s rndomly orented grns. For ny θ, some of the grns re gong to hve n hl meetng the Brgg condton. ch grn produces spots t prtculr θ,φ, so tht ddng the spot ptterns ncoherently produces set of pes t prtculr vlues of θ. Powder dffrcton 13

25 Dffrcton tdts Fnte T cuts ntensty, ut does not ffect wdth of pes (! Fnte sze does ffect pe wdths - possle troule for nnopowders. Amorphous mterls / lquds show or 3 very rod rngs, ndctve of very short-rnge order (ond lengths / nterprtcle spcngs. To summrze: Defne crystl y lttce + ss n rel spce, unt cell. Rel spce lttce cn e used to defne recprocl spce lttce. Recprocl spce lttce unt cell = Brlloun zone Rel spce plnes + recprocl lttce vectors leled y Mller ndces. Becuse of perodc lttce potentl, gps open up n free electron energy for ner edge of Brlloun zone. Detls of Brlloun zone & fllng determne electronc stte of mterl (more on ths net tme. Lttce vectors n recprocl spce determne loctons of dffrcton pes. Dffrcton s powerful method for structure determnton. 14

26 Net tme: More electronc propertes + nds Dopng of semconductors Boundres & surfce sttes Impurtes 15

Electrochemical Thermodynamics. Interfaces and Energy Conversion

Electrochemical Thermodynamics. Interfaces and Energy Conversion CHE465/865, 2006-3, Lecture 6, 18 th Sep., 2006 Electrochemcl Thermodynmcs Interfces nd Energy Converson Where does the energy contrbuton F zϕ dn come from? Frst lw of thermodynmcs (conservton of energy):

More information

4. Eccentric axial loading, cross-section core

4. Eccentric axial loading, cross-section core . Eccentrc xl lodng, cross-secton core Introducton We re strtng to consder more generl cse when the xl force nd bxl bendng ct smultneousl n the cross-secton of the br. B vrtue of Snt-Vennt s prncple we

More information

ψ ij has the eigenvalue

ψ ij has the eigenvalue Moller Plesset Perturbton Theory In Moller-Plesset (MP) perturbton theory one tes the unperturbed Hmltonn for n tom or molecule s the sum of the one prtcle Foc opertors H F() where the egenfunctons of

More information

Effects of polarization on the reflected wave

Effects of polarization on the reflected wave Lecture Notes. L Ros PPLIED OPTICS Effects of polrzton on the reflected wve Ref: The Feynmn Lectures on Physcs, Vol-I, Secton 33-6 Plne of ncdence Z Plne of nterfce Fg. 1 Y Y r 1 Glss r 1 Glss Fg. Reflecton

More information

Review of linear algebra. Nuno Vasconcelos UCSD

Review of linear algebra. Nuno Vasconcelos UCSD Revew of lner lgebr Nuno Vsconcelos UCSD Vector spces Defnton: vector spce s set H where ddton nd sclr multplcton re defned nd stsf: ) +( + ) (+ )+ 5) λ H 2) + + H 6) 3) H, + 7) λ(λ ) (λλ ) 4) H, - + 8)

More information

6 Roots of Equations: Open Methods

6 Roots of Equations: Open Methods HK Km Slghtly modfed 3//9, /8/6 Frstly wrtten t Mrch 5 6 Roots of Equtons: Open Methods Smple Fed-Pont Iterton Newton-Rphson Secnt Methods MATLAB Functon: fzero Polynomls Cse Study: Ppe Frcton Brcketng

More information

Principle Component Analysis

Principle Component Analysis Prncple Component Anlyss Jng Go SUNY Bufflo Why Dmensonlty Reducton? We hve too mny dmensons o reson bout or obtn nsghts from o vsulze oo much nose n the dt Need to reduce them to smller set of fctors

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter.4 Newton-Rphson Method of Solvng Nonlner Equton After redng ths chpter, you should be ble to:. derve the Newton-Rphson method formul,. develop the lgorthm of the Newton-Rphson method,. use the Newton-Rphson

More information

COMPLEX NUMBER & QUADRATIC EQUATION

COMPLEX NUMBER & QUADRATIC EQUATION MCQ COMPLEX NUMBER & QUADRATIC EQUATION Syllus : Comple numers s ordered prs of rels, Representton of comple numers n the form + nd ther representton n plne, Argnd dgrm, lger of comple numers, modulus

More information

Math 497C Sep 17, Curves and Surfaces Fall 2004, PSU

Math 497C Sep 17, Curves and Surfaces Fall 2004, PSU Mth 497C Sep 17, 004 1 Curves nd Surfces Fll 004, PSU Lecture Notes 3 1.8 The generl defnton of curvture; Fox-Mlnor s Theorem Let α: [, b] R n be curve nd P = {t 0,...,t n } be prtton of [, b], then the

More information

Partially Observable Systems. 1 Partially Observable Markov Decision Process (POMDP) Formalism

Partially Observable Systems. 1 Partially Observable Markov Decision Process (POMDP) Formalism CS294-40 Lernng for Rootcs nd Control Lecture 10-9/30/2008 Lecturer: Peter Aeel Prtlly Oservle Systems Scre: Dvd Nchum Lecture outlne POMDP formlsm Pont-sed vlue terton Glol methods: polytree, enumerton,

More information

CENTROID (AĞIRLIK MERKEZİ )

CENTROID (AĞIRLIK MERKEZİ ) CENTOD (ĞLK MEKEZİ ) centrod s geometrcl concept rsng from prllel forces. Tus, onl prllel forces possess centrod. Centrod s tougt of s te pont were te wole wegt of pscl od or sstem of prtcles s lumped.

More information

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC Introducton Rnk One Updte And the Google Mtrx y Al Bernsten Sgnl Scence, LLC www.sgnlscence.net here re two dfferent wys to perform mtrx multplctons. he frst uses dot product formulton nd the second uses

More information

UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II

UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II Mcroeconomc Theory I UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS MSc n Economcs MICROECONOMIC THEORY I Techng: A Lptns (Note: The number of ndctes exercse s dffculty level) ()True or flse? If V( y )

More information

INTRODUCTION TO COMPLEX NUMBERS

INTRODUCTION TO COMPLEX NUMBERS INTRODUCTION TO COMPLEX NUMBERS The numers -4, -3, -, -1, 0, 1,, 3, 4 represent the negtve nd postve rel numers termed ntegers. As one frst lerns n mddle school they cn e thought of s unt dstnce spced

More information

Multiple view geometry

Multiple view geometry EECS 442 Computer vson Multple vew geometry Perspectve Structure from Moton - Perspectve structure from moton prolem - mgutes - lgerc methods - Fctorzton methods - Bundle djustment - Self-clrton Redng:

More information

Many-Body Calculations of the Isotope Shift

Many-Body Calculations of the Isotope Shift Mny-Body Clcultons of the Isotope Shft W. R. Johnson Mrch 11, 1 1 Introducton Atomc energy levels re commonly evluted ssumng tht the nucler mss s nfnte. In ths report, we consder correctons to tomc levels

More information

6. Chemical Potential and the Grand Partition Function

6. Chemical Potential and the Grand Partition Function 6. Chemcl Potentl nd the Grnd Prtton Functon ome Mth Fcts (see ppendx E for detls) If F() s n nlytc functon of stte vrles nd such tht df d pd then t follows: F F p lso snce F p F we cn conclude: p In other

More information

Investigation phase in case of Bragg coupling

Investigation phase in case of Bragg coupling Journl of Th-Qr Unversty No.3 Vol.4 December/008 Investgton phse n cse of Brgg couplng Hder K. Mouhmd Deprtment of Physcs, College of Scence, Th-Qr, Unv. Mouhmd H. Abdullh Deprtment of Physcs, College

More information

ESCI 342 Atmospheric Dynamics I Lesson 1 Vectors and Vector Calculus

ESCI 342 Atmospheric Dynamics I Lesson 1 Vectors and Vector Calculus ESI 34 tmospherc Dnmcs I Lesson 1 Vectors nd Vector lculus Reference: Schum s Outlne Seres: Mthemtcl Hndbook of Formuls nd Tbles Suggested Redng: Mrtn Secton 1 OORDINTE SYSTEMS n orthonorml coordnte sstem

More information

DCDM BUSINESS SCHOOL NUMERICAL METHODS (COS 233-8) Solutions to Assignment 3. x f(x)

DCDM BUSINESS SCHOOL NUMERICAL METHODS (COS 233-8) Solutions to Assignment 3. x f(x) DCDM BUSINESS SCHOOL NUMEICAL METHODS (COS -8) Solutons to Assgnment Queston Consder the followng dt: 5 f() 8 7 5 () Set up dfference tble through fourth dfferences. (b) Wht s the mnmum degree tht n nterpoltng

More information

VECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors

VECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors 1. Defnton A vetor s n entt tht m represent phsl quntt tht hs mgntude nd dreton s opposed to slr tht ls dreton.. Vetor Representton A vetor n e represented grphll n rrow. The length of the rrow s the mgntude

More information

CISE 301: Numerical Methods Lecture 5, Topic 4 Least Squares, Curve Fitting

CISE 301: Numerical Methods Lecture 5, Topic 4 Least Squares, Curve Fitting CISE 3: umercl Methods Lecture 5 Topc 4 Lest Squres Curve Fttng Dr. Amr Khouh Term Red Chpter 7 of the tetoo c Khouh CISE3_Topc4_Lest Squre Motvton Gven set of epermentl dt 3 5. 5.9 6.3 The reltonshp etween

More information

Energy Bands Energy Bands and Band Gap. Phys463.nb Phenomenon

Energy Bands Energy Bands and Band Gap. Phys463.nb Phenomenon Phys463.nb 49 7 Energy Bnds Ref: textbook, Chpter 7 Q: Why re there insultors nd conductors? Q: Wht will hppen when n electron moves in crystl? In the previous chpter, we discussed free electron gses,

More information

Remember: Project Proposals are due April 11.

Remember: Project Proposals are due April 11. Bonformtcs ecture Notes Announcements Remember: Project Proposls re due Aprl. Clss 22 Aprl 4, 2002 A. Hdden Mrov Models. Defntons Emple - Consder the emple we tled bout n clss lst tme wth the cons. However,

More information

Physics 121 Sample Common Exam 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7. Instructions:

Physics 121 Sample Common Exam 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7. Instructions: Physcs 121 Smple Common Exm 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7 Nme (Prnt): 4 Dgt ID: Secton: Instructons: Answer ll 27 multple choce questons. You my need to do some clculton. Answer ech queston on the

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter 0.04 Newton-Rphson Method o Solvng Nonlner Equton Ater redng ths chpter, you should be ble to:. derve the Newton-Rphson method ormul,. develop the lgorthm o the Newton-Rphson method,. use the Newton-Rphson

More information

Lecture 36. Finite Element Methods

Lecture 36. Finite Element Methods CE 60: Numercl Methods Lecture 36 Fnte Element Methods Course Coordntor: Dr. Suresh A. Krth, Assocte Professor, Deprtment of Cvl Engneerng, IIT Guwht. In the lst clss, we dscussed on the ppromte methods

More information

Kai Sun. University of Michigan, Ann Arbor

Kai Sun. University of Michigan, Ann Arbor Ki Sun University of Michign, Ann Arbor How to see toms in solid? For conductors, we cn utilize scnning tunneling microscope (STM) to see toms (Nobel Prize in Physics in 1986) Limittions: (1) conductors

More information

Announcements. Image Formation: Outline. The course. Image Formation and Cameras (cont.)

Announcements. Image Formation: Outline. The course. Image Formation and Cameras (cont.) nnouncements Imge Formton nd Cmers (cont.) ssgnment : Cmer & Lenses, gd Trnsformtons, nd Homogrph wll be posted lter tod. CSE 5 Lecture 5 CS5, Fll CS5, Fll CS5, Fll The course rt : The phscs of mgng rt

More information

Abhilasha Classes Class- XII Date: SOLUTION (Chap - 9,10,12) MM 50 Mob no

Abhilasha Classes Class- XII Date: SOLUTION (Chap - 9,10,12) MM 50 Mob no hlsh Clsses Clss- XII Dte: 0- - SOLUTION Chp - 9,0, MM 50 Mo no-996 If nd re poston vets of nd B respetvel, fnd the poston vet of pont C n B produed suh tht C B vet r C B = where = hs length nd dreton

More information

International Journal of Pure and Applied Sciences and Technology

International Journal of Pure and Applied Sciences and Technology Int. J. Pure Appl. Sc. Technol., () (), pp. 44-49 Interntonl Journl of Pure nd Appled Scences nd Technolog ISSN 9-67 Avlle onlne t www.jopst.n Reserch Pper Numercl Soluton for Non-Lner Fredholm Integrl

More information

The Schur-Cohn Algorithm

The Schur-Cohn Algorithm Modelng, Estmton nd Otml Flterng n Sgnl Processng Mohmed Njm Coyrght 8, ISTE Ltd. Aendx F The Schur-Cohn Algorthm In ths endx, our m s to resent the Schur-Cohn lgorthm [] whch s often used s crteron for

More information

Two Coefficients of the Dyson Product

Two Coefficients of the Dyson Product Two Coeffcents of the Dyson Product rxv:07.460v mth.co 7 Nov 007 Lun Lv, Guoce Xn, nd Yue Zhou 3,,3 Center for Combntorcs, LPMC TJKLC Nnk Unversty, Tnjn 30007, P.R. Chn lvlun@cfc.nnk.edu.cn gn@nnk.edu.cn

More information

2.4 Linear Inequalities and Interval Notation

2.4 Linear Inequalities and Interval Notation .4 Liner Inequlities nd Intervl Nottion We wnt to solve equtions tht hve n inequlity symol insted of n equl sign. There re four inequlity symols tht we will look t: Less thn , Less thn or

More information

Lecture 8. Band theory con.nued

Lecture 8. Band theory con.nued Lecture 8 Bnd theory con.nued Recp: Solved Schrodinger qu.on for free electrons, for electrons bound in poten.l box, nd bound by proton. Discrete energy levels rouse. The Schrodinger qu.on pplied to periodic

More information

8. INVERSE Z-TRANSFORM

8. INVERSE Z-TRANSFORM 8. INVERSE Z-TRANSFORM The proce by whch Z-trnform of tme ere, nmely X(), returned to the tme domn clled the nvere Z-trnform. The nvere Z-trnform defned by: Computer tudy Z X M-fle trn.m ued to fnd nvere

More information

Jens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers

Jens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers Jens Sebel (Unversty of Appled Scences Kserslutern) An Interctve Introducton to Complex Numbers 1. Introducton We know tht some polynoml equtons do not hve ny solutons on R/. Exmple 1.1: Solve x + 1= for

More information

ragsdale (zdr82) HW6 ditmire (58335) 1 the direction of the current in the figure. Using the lower circuit in the figure, we get

ragsdale (zdr82) HW6 ditmire (58335) 1 the direction of the current in the figure. Using the lower circuit in the figure, we get rgsdle (zdr8) HW6 dtmre (58335) Ths prnt-out should hve 5 questons Multple-choce questons my contnue on the next column or pge fnd ll choces efore nswerng 00 (prt of ) 00 ponts The currents re flowng n

More information

fiziks Institute for NET/JRF, GATE, IIT JAM, M.Sc. Entrance, JEST, TIFR and GRE in Physics

fiziks Institute for NET/JRF, GATE, IIT JAM, M.Sc. Entrance, JEST, TIFR and GRE in Physics Solid Stte Physics JEST-0 Q. bem of X-rys is incident on BCC crystl. If the difference between the incident nd scttered wvevectors is K nxˆkyˆlzˆ where xˆ, yˆ, zˆ re the unit vectors of the ssocited cubic

More information

Quiz: Experimental Physics Lab-I

Quiz: Experimental Physics Lab-I Mxmum Mrks: 18 Totl tme llowed: 35 mn Quz: Expermentl Physcs Lb-I Nme: Roll no: Attempt ll questons. 1. In n experment, bll of mss 100 g s dropped from heght of 65 cm nto the snd contner, the mpct s clled

More information

Lecture 4: Piecewise Cubic Interpolation

Lecture 4: Piecewise Cubic Interpolation Lecture notes on Vrtonl nd Approxmte Methods n Appled Mthemtcs - A Perce UBC Lecture 4: Pecewse Cubc Interpolton Compled 6 August 7 In ths lecture we consder pecewse cubc nterpolton n whch cubc polynoml

More information

Physics for Scientists and Engineers I

Physics for Scientists and Engineers I Phscs for Scentsts nd Engneers I PHY 48, Secton 4 Dr. Betr Roldán Cuen Unverst of Centrl Flord, Phscs Deprtment, Orlndo, FL Chpter - Introducton I. Generl II. Interntonl Sstem of Unts III. Converson of

More information

References: 1. Introduction to Solid State Physics, Kittel 2. Solid State Physics, Ashcroft and Mermin

References: 1. Introduction to Solid State Physics, Kittel 2. Solid State Physics, Ashcroft and Mermin Lecture 12 Bn Gp Toy: 1. Seres solutons to the cosne potentl Hmltonn. 2. Dervton of the bngrms the grphcl representton of sngle electron solutons 3. Anlytcl expresson for bngps Questons you shoul be ble

More information

QUB XRD Course. The crystalline state. The Crystalline State

QUB XRD Course. The crystalline state. The Crystalline State QUB XRD Course Introduction to Crystllogrphy 1 The crystlline stte Mtter Gseous Stte Solid stte Liquid Stte Amorphous (disordered) Crystlline (ordered) 2 The Crystlline Stte A crystl is constructed by

More information

( ) ( )()4 x 10-6 C) ( ) = 3.6 N ( ) = "0.9 N. ( )ˆ i ' ( ) 2 ( ) 2. q 1 = 4 µc q 2 = -4 µc q 3 = 4 µc. q 1 q 2 q 3

( ) ( )()4 x 10-6 C) ( ) = 3.6 N ( ) = 0.9 N. ( )ˆ i ' ( ) 2 ( ) 2. q 1 = 4 µc q 2 = -4 µc q 3 = 4 µc. q 1 q 2 q 3 3 Emple : Three chrges re fed long strght lne s shown n the fgure boe wth 4 µc, -4 µc, nd 3 4 µc. The dstnce between nd s. m nd the dstnce between nd 3 s lso. m. Fnd the net force on ech chrge due to the

More information

Problems for HW X. C. Gwinn. November 30, 2009

Problems for HW X. C. Gwinn. November 30, 2009 Problems for HW X C. Gwinn November 30, 2009 These problems will not be grded. 1 HWX Problem 1 Suppose thn n object is composed of liner dielectric mteril, with constnt reltive permittivity ɛ r. The object

More information

Fall 2012 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede. with respect to λ. 1. χ λ χ λ ( ) λ, and thus:

Fall 2012 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede. with respect to λ. 1. χ λ χ λ ( ) λ, and thus: More on χ nd errors : uppose tht we re fttng for sngle -prmeter, mnmzng: If we epnd The vlue χ ( ( ( ; ( wth respect to. χ n Tlor seres n the vcnt of ts mnmum vlue χ ( mn χ χ χ χ + + + mn mnmzes χ, nd

More information

Point Lattices: Bravais Lattices

Point Lattices: Bravais Lattices Physics for Solid Stte Applictions Februry 18, 2004 Lecture 7: Periodic Structures (cont.) Outline Review 2D & 3D Periodic Crystl Structures: Mthemtics X-Ry Diffrction: Observing Reciprocl Spce Point Lttices:

More information

Demand. Demand and Comparative Statics. Graphically. Marshallian Demand. ECON 370: Microeconomic Theory Summer 2004 Rice University Stanley Gilbert

Demand. Demand and Comparative Statics. Graphically. Marshallian Demand. ECON 370: Microeconomic Theory Summer 2004 Rice University Stanley Gilbert Demnd Demnd nd Comrtve Sttcs ECON 370: Mcroeconomc Theory Summer 004 Rce Unversty Stnley Glbert Usng the tools we hve develoed u to ths ont, we cn now determne demnd for n ndvdul consumer We seek demnd

More information

7.2 Volume. A cross section is the shape we get when cutting straight through an object.

7.2 Volume. A cross section is the shape we get when cutting straight through an object. 7. Volume Let s revew the volume of smple sold, cylnder frst. Cylnder s volume=se re heght. As llustrted n Fgure (). Fgure ( nd (c) re specl cylnders. Fgure () s rght crculr cylnder. Fgure (c) s ox. A

More information

The solutions of the single electron Hamiltonian were shown to be Bloch wave of the form: ( ) ( ) ikr

The solutions of the single electron Hamiltonian were shown to be Bloch wave of the form: ( ) ( ) ikr Lecture #1 Progrm 1. Bloch solutions. Reciprocl spce 3. Alternte derivtion of Bloch s theorem 4. Trnsforming the serch for egenfunctions nd eigenvlues from solving PDE to finding the e-vectors nd e-vlues

More information

I1 = I2 I1 = I2 + I3 I1 + I2 = I3 + I4 I 3

I1 = I2 I1 = I2 + I3 I1 + I2 = I3 + I4 I 3 2 The Prllel Circuit Electric Circuits: Figure 2- elow show ttery nd multiple resistors rrnged in prllel. Ech resistor receives portion of the current from the ttery sed on its resistnce. The split is

More information

Introduction to Numerical Integration Part II

Introduction to Numerical Integration Part II Introducton to umercl Integrton Prt II CS 75/Mth 75 Brn T. Smth, UM, CS Dept. Sprng, 998 4/9/998 qud_ Intro to Gussn Qudrture s eore, the generl tretment chnges the ntegrton prolem to ndng the ntegrl w

More information

Mathematics Number: Logarithms

Mathematics Number: Logarithms plce of mind F A C U L T Y O F E D U C A T I O N Deprtment of Curriculum nd Pedgogy Mthemtics Numer: Logrithms Science nd Mthemtics Eduction Reserch Group Supported y UBC Teching nd Lerning Enhncement

More information

Chapter 3 The Schrödinger Equation and a Particle in a Box

Chapter 3 The Schrödinger Equation and a Particle in a Box Chpter 3 The Schrödinger Eqution nd Prticle in Bo Bckground: We re finlly ble to introduce the Schrödinger eqution nd the first quntum mechnicl model prticle in bo. This eqution is the bsis of quntum mechnics

More information

The Number of Rows which Equal Certain Row

The Number of Rows which Equal Certain Row Interntonl Journl of Algebr, Vol 5, 011, no 30, 1481-1488 he Number of Rows whch Equl Certn Row Ahmd Hbl Deprtment of mthemtcs Fcult of Scences Dmscus unverst Dmscus, Sr hblhmd1@gmlcom Abstrct Let be X

More information

Homework Assignment 3 Solution Set

Homework Assignment 3 Solution Set Homework Assignment 3 Solution Set PHYCS 44 6 Ferury, 4 Prolem 1 (Griffiths.5(c The potentil due to ny continuous chrge distriution is the sum of the contriutions from ech infinitesiml chrge in the distriution.

More information

Definition of Tracking

Definition of Tracking Trckng Defnton of Trckng Trckng: Generte some conclusons bout the moton of the scene, objects, or the cmer, gven sequence of mges. Knowng ths moton, predct where thngs re gong to project n the net mge,

More information

R. I. Badran Solid State Physics

R. I. Badran Solid State Physics I Bdrn Solid Stte Physics Crystl vibrtions nd the clssicl theory: The ssmption will be mde to consider tht the men eqilibrim position of ech ion is t Brvis lttice site The ions oscillte bot this men position

More information

Summary: Method of Separation of Variables

Summary: Method of Separation of Variables Physics 246 Electricity nd Mgnetism I, Fll 26, Lecture 22 1 Summry: Method of Seprtion of Vribles 1. Seprtion of Vribles in Crtesin Coordintes 2. Fourier Series Suggested Reding: Griffiths: Chpter 3, Section

More information

Goals: Determine how to calculate the area described by a function. Define the definite integral. Explore the relationship between the definite

Goals: Determine how to calculate the area described by a function. Define the definite integral. Explore the relationship between the definite Unit #8 : The Integrl Gols: Determine how to clculte the re described by function. Define the definite integrl. Eplore the reltionship between the definite integrl nd re. Eplore wys to estimte the definite

More information

Homework Assignment 6 Solution Set

Homework Assignment 6 Solution Set Homework Assignment 6 Solution Set PHYCS 440 Mrch, 004 Prolem (Griffiths 4.6 One wy to find the energy is to find the E nd D fields everywhere nd then integrte the energy density for those fields. We know

More information

The Periodic Table of Elements

The Periodic Table of Elements The Periodic Table of Elements 8 Uuo Uus Uuh (9) Uup (88) Uuq (89) Uut (8) Uub (8) Rg () 0 Ds (9) 09 Mt (8) 08 Hs (9) 0 h () 0 Sg () 0 Db () 0 Rf () 0 Lr () 88 Ra () 8 Fr () 8 Rn () 8 At (0) 8 Po (09)

More information

This model contains two bonds per unit cell (one along the x-direction and the other along y). So we can rewrite the Hamiltonian as:

This model contains two bonds per unit cell (one along the x-direction and the other along y). So we can rewrite the Hamiltonian as: 1 Problem set #1 1.1. A one-band model on a square lattce Fg. 1 Consder a square lattce wth only nearest-neghbor hoppngs (as shown n the fgure above): H t, j a a j (1.1) where,j stands for nearest neghbors

More information

Math 8 Winter 2015 Applications of Integration

Math 8 Winter 2015 Applications of Integration Mth 8 Winter 205 Applictions of Integrtion Here re few importnt pplictions of integrtion. The pplictions you my see on n exm in this course include only the Net Chnge Theorem (which is relly just the Fundmentl

More information

Element Cube Project (x2)

Element Cube Project (x2) Element Cube Project (x2) Background: As a class, we will construct a three dimensional periodic table by each student selecting two elements in which you will need to create an element cube. Helpful Links

More information

CME 302: NUMERICAL LINEAR ALGEBRA FALL 2005/06 LECTURE 13

CME 302: NUMERICAL LINEAR ALGEBRA FALL 2005/06 LECTURE 13 CME 30: NUMERICAL LINEAR ALGEBRA FALL 005/06 LECTURE 13 GENE H GOLUB 1 Iteratve Methods Very large problems (naturally sparse, from applcatons): teratve methods Structured matrces (even sometmes dense,

More information

Crystalline Structures The Basics

Crystalline Structures The Basics Crystlline Structures The sics Crystl structure of mteril is wy in which toms, ions, molecules re sptilly rrnged in 3-D spce. Crystl structure = lttice (unit cell geometry) + bsis (tom, ion, or molecule

More information

Waveguide Guide: A and V. Ross L. Spencer

Waveguide Guide: A and V. Ross L. Spencer Wveguide Guide: A nd V Ross L. Spencer I relly think tht wveguide fields re esier to understnd using the potentils A nd V thn they re using the electric nd mgnetic fields. Since Griffiths doesn t do it

More information

Math 5440 Problem Set 3 Solutions

Math 5440 Problem Set 3 Solutions Mth 544 Mth 544 Problem Set 3 Solutions Aron Fogelson Fll, 25 1: Logn, 1.5 # 2) Repet the derivtion for the eqution of motion of vibrting string when, in ddition, the verticl motion is retrded by dmping

More information

Variable time amplitude amplification and quantum algorithms for linear algebra. Andris Ambainis University of Latvia

Variable time amplitude amplification and quantum algorithms for linear algebra. Andris Ambainis University of Latvia Vrble tme mpltude mplfcton nd quntum lgorthms for lner lgebr Andrs Ambns Unversty of Ltv Tlk outlne. ew verson of mpltude mplfcton;. Quntum lgorthm for testng f A s sngulr; 3. Quntum lgorthm for solvng

More information

Applied Statistics Qualifier Examination

Applied Statistics Qualifier Examination Appled Sttstcs Qulfer Exmnton Qul_june_8 Fll 8 Instructons: () The exmnton contns 4 Questons. You re to nswer 3 out of 4 of them. () You my use ny books nd clss notes tht you mght fnd helpful n solvng

More information

Minimal DFA. minimal DFA for L starting from any other

Minimal DFA. minimal DFA for L starting from any other Miniml DFA Among the mny DFAs ccepting the sme regulr lnguge L, there is exctly one (up to renming of sttes) which hs the smllest possile numer of sttes. Moreover, it is possile to otin tht miniml DFA

More information

Proof that if Voting is Perfect in One Dimension, then the First. Eigenvector Extracted from the Double-Centered Transformed

Proof that if Voting is Perfect in One Dimension, then the First. Eigenvector Extracted from the Double-Centered Transformed Proof tht f Votng s Perfect n One Dmenson, then the Frst Egenvector Extrcted from the Doule-Centered Trnsformed Agreement Score Mtrx hs the Sme Rn Orderng s the True Dt Keth T Poole Unversty of Houston

More information

Name Solutions to Test 3 November 8, 2017

Name Solutions to Test 3 November 8, 2017 Nme Solutions to Test 3 November 8, 07 This test consists of three prts. Plese note tht in prts II nd III, you cn skip one question of those offered. Some possibly useful formuls cn be found below. Brrier

More information

ES.182A Topic 32 Notes Jeremy Orloff

ES.182A Topic 32 Notes Jeremy Orloff ES.8A Topic 3 Notes Jerem Orloff 3 Polr coordintes nd double integrls 3. Polr Coordintes (, ) = (r cos(θ), r sin(θ)) r θ Stndrd,, r, θ tringle Polr coordintes re just stndrd trigonometric reltions. In

More information

Strong Gravity and the BKL Conjecture

Strong Gravity and the BKL Conjecture Introducton Strong Grvty nd the BKL Conecture Dvd Slon Penn Stte October 16, 2007 Dvd Slon Strong Grvty nd the BKL Conecture Introducton Outlne The BKL Conecture Ashtekr Vrbles Ksner Sngulrty 1 Introducton

More information

Section 6: Area, Volume, and Average Value

Section 6: Area, Volume, and Average Value Chpter The Integrl Applied Clculus Section 6: Are, Volume, nd Averge Vlue Are We hve lredy used integrls to find the re etween the grph of function nd the horizontl xis. Integrls cn lso e used to find

More information

n α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0

n α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0 MODULE 2 Topcs: Lnear ndependence, bass and dmenson We have seen that f n a set of vectors one vector s a lnear combnaton of the remanng vectors n the set then the span of the set s unchanged f that vector

More information

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number

More information

Lecture 13 - Linking E, ϕ, and ρ

Lecture 13 - Linking E, ϕ, and ρ Lecture 13 - Linking E, ϕ, nd ρ A Puzzle... Inner-Surfce Chrge Density A positive point chrge q is locted off-center inside neutrl conducting sphericl shell. We know from Guss s lw tht the totl chrge on

More information

13: Diffusion in 2 Energy Groups

13: Diffusion in 2 Energy Groups 3: Diffusion in Energy Groups B. Rouben McMster University Course EP 4D3/6D3 Nucler Rector Anlysis (Rector Physics) 5 Sept.-Dec. 5 September Contents We study the diffusion eqution in two energy groups

More information

Math 5440 Problem Set 3 Solutions

Math 5440 Problem Set 3 Solutions Mth 544 Mth 544 Problem Set 3 Solutions Aron Fogelson Fll, 213 1: (Logn, 1.5 # 2) Repet the derivtion for the eqution of motion of vibrting string when, in ddition, the verticl motion is retrded by dmping

More information

CIS587 - Artificial Intelligence. Uncertainty CIS587 - AI. KB for medical diagnosis. Example.

CIS587 - Artificial Intelligence. Uncertainty CIS587 - AI. KB for medical diagnosis. Example. CIS587 - rtfcl Intellgence Uncertnty K for medcl dgnoss. Exmple. We wnt to uld K system for the dgnoss of pneumon. rolem descrpton: Dsese: pneumon tent symptoms fndngs, l tests: Fever, Cough, leness, WC

More information

Atoms and the Periodic Table

Atoms and the Periodic Table Atoms and the Periodic Table Parts of the Atom Proton Found in the nucleus Number of protons defines the element Charge +1, mass 1 Parts of the Atom Neutron Found in the nucleus Stabilizes the nucleus

More information

LOCAL FRACTIONAL LAPLACE SERIES EXPANSION METHOD FOR DIFFUSION EQUATION ARISING IN FRACTAL HEAT TRANSFER

LOCAL FRACTIONAL LAPLACE SERIES EXPANSION METHOD FOR DIFFUSION EQUATION ARISING IN FRACTAL HEAT TRANSFER Yn, S.-P.: Locl Frctonl Lplce Seres Expnson Method for Dffuson THERMAL SCIENCE, Yer 25, Vol. 9, Suppl., pp. S3-S35 S3 LOCAL FRACTIONAL LAPLACE SERIES EXPANSION METHOD FOR DIFFUSION EQUATION ARISING IN

More information

Surface maps into free groups

Surface maps into free groups Surfce mps into free groups lden Wlker Novemer 10, 2014 Free groups wedge X of two circles: Set F = π 1 (X ) =,. We write cpitl letters for inverse, so = 1. e.g. () 1 = Commuttors Let x nd y e loops. The

More information

potentials A z, F z TE z Modes We use the e j z z =0 we can simply say that the x dependence of E y (1)

potentials A z, F z TE z Modes We use the e j z z =0 we can simply say that the x dependence of E y (1) 3e. Introduction Lecture 3e Rectngulr wveguide So fr in rectngulr coordintes we hve delt with plne wves propgting in simple nd inhomogeneous medi. The power density of plne wve extends over ll spce. Therefore

More information

The Periodic Table. Periodic Properties. Can you explain this graph? Valence Electrons. Valence Electrons. Paramagnetism

The Periodic Table. Periodic Properties. Can you explain this graph? Valence Electrons. Valence Electrons. Paramagnetism Periodic Properties Atomic & Ionic Radius Energy Electron Affinity We want to understand the variations in these properties in terms of electron configurations. The Periodic Table Elements in a column

More information

Solutions and Ions. Pure Substances

Solutions and Ions. Pure Substances Class #4 Solutions and Ions CHEM 107 L.S. Brown Texas A&M University Pure Substances Pure substance: described completely by a single chemical formula Fixed composition 1 Mixtures Combination of 2 or more

More information

Continuous Random Variables Class 5, Jeremy Orloff and Jonathan Bloom

Continuous Random Variables Class 5, Jeremy Orloff and Jonathan Bloom Lerning Gols Continuous Rndom Vriles Clss 5, 8.05 Jeremy Orloff nd Jonthn Bloom. Know the definition of continuous rndom vrile. 2. Know the definition of the proility density function (pdf) nd cumultive

More information

5.7 Improper Integrals

5.7 Improper Integrals 458 pplictions of definite integrls 5.7 Improper Integrls In Section 5.4, we computed the work required to lift pylod of mss m from the surfce of moon of mss nd rdius R to height H bove the surfce of the

More information

CS667 Lecture 6: Monte Carlo Integration 02/10/05

CS667 Lecture 6: Monte Carlo Integration 02/10/05 CS667 Lecture 6: Monte Crlo Integrtion 02/10/05 Venkt Krishnrj Lecturer: Steve Mrschner 1 Ide The min ide of Monte Crlo Integrtion is tht we cn estimte the vlue of n integrl by looking t lrge number of

More information

Trigonometry. Trigonometry. Solutions. Curriculum Ready ACMMG: 223, 224, 245.

Trigonometry. Trigonometry. Solutions. Curriculum Ready ACMMG: 223, 224, 245. Trgonometry Trgonometry Solutons Currulum Redy CMMG:, 4, 4 www.mthlets.om Trgonometry Solutons Bss Pge questons. Identfy f the followng trngles re rght ngled or not. Trngles,, d, e re rght ngled ndted

More information

Jackson 2.26 Homework Problem Solution Dr. Christopher S. Baird University of Massachusetts Lowell

Jackson 2.26 Homework Problem Solution Dr. Christopher S. Baird University of Massachusetts Lowell Jckson 2.26 Homework Problem Solution Dr. Christopher S. Bird University of Msschusetts Lowell PROBLEM: The two-dimensionl region, ρ, φ β, is bounded by conducting surfces t φ =, ρ =, nd φ = β held t zero

More information

USA Mathematical Talent Search Round 1 Solutions Year 21 Academic Year

USA Mathematical Talent Search Round 1 Solutions Year 21 Academic Year 1/1/21. Fill in the circles in the picture t right with the digits 1-8, one digit in ech circle with no digit repeted, so tht no two circles tht re connected by line segment contin consecutive digits.

More information

Pyramid Algorithms for Barycentric Rational Interpolation

Pyramid Algorithms for Barycentric Rational Interpolation Pyrmd Algorthms for Brycentrc Rtonl Interpolton K Hormnn Scott Schefer Astrct We present new perspectve on the Floter Hormnn nterpolnt. Ths nterpolnt s rtonl of degree (n, d), reproduces polynomls of degree

More information

along the vector 5 a) Find the plane s coordinate after 1 hour. b) Find the plane s coordinate after 2 hours. c) Find the plane s coordinate

along the vector 5 a) Find the plane s coordinate after 1 hour. b) Find the plane s coordinate after 2 hours. c) Find the plane s coordinate L8 VECTOR EQUATIONS OF LINES HL Mth - Sntowski Vector eqution of line 1 A plne strts journey t the point (4,1) moves ech hour long the vector. ) Find the plne s coordinte fter 1 hour. b) Find the plne

More information

Lecture 21: Order statistics

Lecture 21: Order statistics Lecture : Order sttistics Suppose we hve N mesurements of sclr, x i =, N Tke ll mesurements nd sort them into scending order x x x 3 x N Define the mesured running integrl S N (x) = 0 for x < x = i/n for

More information