Modern Topics in Solid-State Theory: Topological insulators and superconductors

Size: px
Start display at page:

Download "Modern Topics in Solid-State Theory: Topological insulators and superconductors"

Transcription

1 Mor Topc ol-a Thor: Topolocal ulaor uprcoucor ra P. chr Ma-Plac-Iu für örprforchu, uar Uvrä uar Jauar 6

2 Topolocal ulaor uprcoucor. Topolocal b hor - Wha opolo? - H mol polacl) - hr ulaor IQH. Topolocal ulaor w/ m-rvral mmr - Quaum p Hall a - vara D & 3D 3. Topolocal uprcoucor - Topolocal uprcoucor D & D - Topolocal uprcoucor w/ TR 4. lafcao chm opolocal m-mal - Tfol clafcao of TI - Topolocal m-mal oal uprcoucor

3 Boo rvw arcl Rvw arcl: -. Haa.L. Ka, Rv. Mo. Ph. 8, 345 ) - X.L. Q.. ha, Rv. Mo. Ph. 83, 57 ) -. Ru,. P. chr,. urua,. Luw, Nw J. Ph., 65 ) -.-K. hu, J.. Y. To,. P. chr,. Ru, arxv: Bar, ual Rvw of o. Ma. Ph. 4, 3 - J. lca, Rp. Pro. Ph. 75, 765 ) - Y. o, J. Ph. oc. Jp. 8, -. P. chr, P. R. Bro, J. Ph.: M 7, 43 5) - Y. o L. u, arxv: W, arxv: Boo: - hu-q h, Topolocal ulaor, prr r ol-a cc, Volum 74 ) - B. r Brv, "Topolocal Iulaor Topolocal uprcoucor, Prco Uvr Pr - Mo Naahara, "Gomr, Topolo Phc", Talor & rac -. Bohm,. Moafaah, H. Koum, Q. Nu, J. war, Th omrc pha quaum m, prr - ra L. Molamp, Topolocal Iulaor, omporar ocp of o Mar cc, lvr

4 Lcur O: Topolocal b hor. Irouco - Wha opolo? - Bloch horm - Topolocal b hor. Topolocal ulaor D - Brr pha - mpl ampl: Two-lvl m - Polacl u-chrffr-hr mol) - Doma wall a 3. hr ulaor IQH - Ir quaum Hall ffc - hr ulaor o quar lac - Topolocal vara

5 Wha opolo? Wha opolo? Th u of omrc propr ha ar v o mooh formao or ampl, cor wo-moal urfac hr-moal pac lo urfac ar characr b hr u # hol, Topolocal quvalc: Two urfac ar quval f h ca b cououl form o o aohr whou cu a hol. opolocal quvalc cla uh b u opolocal vara) Gau-Bo Thorm Gu ca b pr rm of a ral of h Gau curvaur ovr h urfac κ 4π ) opolocal vara

6 B hor of ol opolo Bloch horm: cor lcro wavfuco proc cral poal cral momum lcro wavfuco cral ψ r ) Bloch wavfuco ha proc of poal Bloch Hamloa H) r H r H) ) ) ) Brllou o B rucur f a mapp: Brllou o Topolocal quvalc: H) Hamloa wh r ap B rucur ar quval f h ca b cououl form o o aohr whou clo h r ap r Momum ap

7 Topolocal b hor or b rucur wh a ap: H) ) ) ) b ulaor: bw couco valc b uprcoucor: b rucur of Boolubov quaparcl Topolocal quvalc: Two b rucur ar quval f h ca b cououl form o o aohr whou clo h r ap whou bra h mmr of h b rucur. r cral momum ap. mmr o cor: parcl-hol mmr, m-rvral mmr rflco mmr, roao mmr, c.. op. quvalc cla uh b: opolocal vara.. hr o): fll a Brr curvaur

8 Topolocal b hor or b rucur wh a ap: H) ) ) ) b ulaor: bw couco valc b uprcoucor: b rucur of Boolubov quaparcl Topolocal quvalc: Two b rucur ar quval f h ca b cououl form o o aohr whou clo h r ap whou bra h mmr of h b rucur. r cral momum ap. mmr o cor: parcl-hol mmr, m-rvral mmr rflco mmr, roao mmr, c.. op. quvalc cla uh b: opolocal vara.. hr o): Bul-bouar corrpoc: # apl a or urfac a) fll a Brr curvaur

9 r, o rprph Mu hor r, u rc B opolo φ o rprph Murl o o rprph Murl o u ) ) h r, r, r, Murlo u o rprph φ ) Brr pha: U ) o rprph Murlo u κ πχ π ).)o u φ h Pha ambu of wavfuco ) ) o rprph Murl o u h o rprph Murl r, r, M j q h / U fbr bul: o ach aach fbr ) U U Bloch ) horm r, r, 4).6).6) h r r, f Brr coco: l M vcor poal) h [T R), H] ψ ) 5/6 h " j j j / q / / q / ) q / o rprph o u u Murl.) / 5) mpl ampl r r φ φ H) ) H U ) ) ) ) ur au raformao: o u ) Murl U o rprph ) h o rprph Murl ) h.3).6) ) φφ 6) ) φ ).6).6) j ) H) om mor ) ) / q / Brr pha: au vara qua) horm j Bloch mloa for a B uprcoucor a o-crommrc cral. j ) ) ) 4) r, / q / r, / q / Brr curvaur or wcha hav Murlo u pha )o ) r loop o rprph a clo T R), H] ψ ) ) r Ih [T R), H], P3 B om m. h follow {, } o h Paul ψ marc ), ) om mor mor q H) p) rampl Brllou Bloch horm µ ) ) o h µ ) mpl Brr curvaur or: au mpl ampl µ R), H] ψ ) 7) µ µ h r ) {τ, τmajoraa Paul marc h parcl-hol ra. W r r, τ } o h [T R), H] ψ ) 5), q) Tr G H) r, H 4) r r Brr curvaur Murl o: H Murl o rprph 8) o u ) or 3D: µ µ o rprph H) ) o u j 4) Hamloa 5) q, )3} 6) ) ) q, ), j {,, ral vara uprcoucor wh h r, ) ψ ) r ψ r ) r j ) ) H) 7), "j H q Topolocal, )vara,r, j {,, 3} 5) ) H) H 9) Brr curvaur H) ) ) ) 6) ) of b rucur:, ) j, r, q)v {,,G 3} ) H) ) ), q) Tr, ψ ψ ), q) Tr G, G, ) om mor " 8) $ ψ ) h) 4) ) ) ) ), ) ) ) ) Topolocal propr of ula maral om mor hr umbr H) Tr G, q)v G, ) 6) 4) 9).4), H) H) ), j hr umbr hav ). ) h : w q q ) v b : T π, j ) T hr umbr or w umbr) fll a ) ) ψ ) h H) ) ) ) φ, {,, 3} π Brllou o 7) or ) fll w hav a {,,3} ),q {, ) q,3} 7)

10 o rprph /) Murl r, o u u 5) r, co/) Brr pha for wo-b mol o rprph o u µ Murl µ 6) h o rprph Murl o 5/6mpl ampl 4) u co/) 7) /) ) o rprph II Two-lvl Hamloa: H) ) r, T /) u r, 5) o rprph Murl o u o rprph co/) ) M o rprph Murlo u ) co,, co ) 8) param. b phrcal coor.: rph Murl o u Brr 6) curvaur or µ µr, co/) u wh r orh pol au) ) wo vcor 7) 4) 9) r, H) ) σ /) ˆ ) ) ) r, r, µ µ µ) U ) 5) " co/) /) o u o rprph Murl u u 6).6) Brr curvaur co/) /) Murl π) 8) Brro u vcor poal ) co,, co al wp j φol 4) ol al w /) / q /, ) ) ) ) ol al ˆ wp ou b ) o rprph au Murl o u u Brr vcor poal: p) H), or j u u ) Brr curvaur 9) co/) 5), j ) H) φ ˆ o rprph H) ) σ U ) ) Murl o u " h ph Murl o u u u /) u u µ ) ) ) 7) πo µ ) o rprph Murl.6) # o u µ o rprph Murl π u /) ) Brr u ) curvaur: au p) φ j Brr curvaur ) ) / q / ) co,, co ) 6) ) r, " ) ) r, ) h φ, Brr vcor poal ) If p ) Jacoba mar o : r, paramr ) Uj ) 8), 7), j ) # mpl co/) mor om.6) u u ampl ) co, mpl ampl: ) ) u ) 9) ) /) j u u /) / q / ˆ co/) " ol al wp ou b ) u H) 4) ) ) moopol fl) ˆ /) Bloch horm ) ) al ol al wp ou b ) /) ) σ j H) u u q, ) σ, j ˆ{,,"3} co/) 8) Brr vcor poal H) ) r )

11 Polacl u-chrffr-hr mol) u-chrffr-hr mol crb polacl [ H ] [u, chrffr, Hr 79] Hamloa: H X h )c c B )c c B h.c. Gap phoo la o Prl abl wo ra rou a: momum pac: ) ), B,, f a h) H) ) h ) ) co ) ) ) r Momum ublac mmr: H)H) r pcrum mmrc) r pcrum: p ) [ ) ] co

12 r, mol for polacal mpl wo b mol chrffr Hr Mol Polaclu u-chrffr-hr mol) mpl ampl ] N Tr [ ) ) Gap u-chrffr-hr o rprph Murl o u ) ).. H π mol c c c c h c B polacl o rprph B H ] [ crb o rprph M Murl o rprph Murl o u o u ral mmr: 5/6 achl: UT H )UT Gap 4 r, r,, a, r, H ), UT σ hol mmr: T σ B, w hav homoop h) majoraa H) ) U H )U h H ), U σ ) H ) ) r /a w hav µ µ majoraa ) ) > ) ) co a /a Prl abl νmomum # 4) > : Brr pha ψψ ψ ψ > " : P ν > ψ ψ for ψ ) whch ) h H) Brr pha Off-aoal form ) )co ) [ H ] ) $ % ) ) ) a ε ) ) or Brr curvaur 5) : U) ψ ) ψ q) H ) π [U)] 3 < : Brr pha ε ) ψ ψ W o: µ ) TrBG q µ ) Lac P< / : µ ) 4) Brr pha h) ε σ α σ h) Brr curvaur Prov mmr rqur ), h a wh > < ar opolocall c. q) q) : π ) 6) q) : h µmmr, )Whou µ ) opolocall { σ,5) δ σ)σ {, j } } ra all D b rucur ar quval. j j, ) ma fl,j 6) fl ma %, j ) " $ L /, Prov ) rqur mmr) a # # b ublac 7) µ µ ) )?wh 5.4 > < har opolocall I H ρ, ) λ c, π µ 8),,

13 Doma Wall a Polacl Doma wall bw ffr opolocal a ha opolocall proc ro-r mo ro-r a a oma wall [u, chrffr, Hr 79] [Jacw, Rbb] ffcv low-r couum hor: p arou ) m) m) Drac Hamloa wh a ma: q) p q m ublac mmr chral mmr ): {,H} or oma wall: m> ro-r a a oma wall m< a for boua: H ) R m ) Bul-bouar corrpoc: R L #romo opolocal vara characr oma wall)

Introduction to topological aspects in! condensed matter physics. Andreas P. Schnyder. Max-Planck-Institut für Festkörperforschung, Stuttgart

Introduction to topological aspects in! condensed matter physics. Andreas P. Schnyder. Max-Planck-Institut für Festkörperforschung, Stuttgart Irouco o opolocal apc co mar phc ra P. chr Ma-Plac-Iu für örprforchu, uar Ju 11-13, 14 Uvré Lorra T-fol clafcao of opolocal ulaor uprcoucor 1 lcur: - Topolocal b hor - Topolocal ulaor 1D polacl) - Topolocal

More information

Gauge Theories. Elementary Particle Physics Strong Interaction Fenomenology. Diego Bettoni Academic year

Gauge Theories. Elementary Particle Physics Strong Interaction Fenomenology. Diego Bettoni Academic year Gau Thors Elmary Parcl Physcs Sro Iraco Fomoloy o Bo cadmc yar - Gau Ivarac Gau Ivarac Whr do Laraas or Hamloas com from? How do w kow ha a cra raco should dscrb a acual hyscal sysm? Why s h lcromac raco

More information

An N-Component Series Repairable System with Repairman Doing Other Work and Priority in Repair

An N-Component Series Repairable System with Repairman Doing Other Work and Priority in Repair Mor ppl Novmbr 8 N-Compo r Rparabl m h Rparma Dog Ohr ork a ror Rpar Jag Yag E-mal: jag_ag7@6om Xau Mg a uo hg ollag arb Normal Uvr Yaq ua Taoao ag uppor b h Fouao or h aural o b prov o Cha 5 uppor b h

More information

The far field calculation: Approximate and exact solutions. Persa Kyritsi November 10th, 2005 B2-109

The far field calculation: Approximate and exact solutions. Persa Kyritsi November 10th, 2005 B2-109 Th fa fl calculao: Appoa a ac oluo Pa K Novb 0h 005 B-09 Oul Novb 0h 005 Pa K Iouco Appoa oluo flco fo h gou ac oluo Cocluo Pla wav fo Ic fl: pla wav k ( ) jk H ( ) λ λ ( ) Polaao fo η 0 0 Hooal polaao

More information

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables Improvd Epoal Emaor for Populao Varac Ug Two Aular Varabl Rajh gh Dparm of ac,baara Hdu Uvr(U.P., Ida (rgha@ahoo.com Pakaj Chauha ad rmala awa chool of ac, DAVV, Idor (M.P., Ida Flor maradach Dparm of

More information

CHARACTERIZATION FROM EXPONENTIATED GAMMA DISTRIBUTION BASED ON RECORD VALUES

CHARACTERIZATION FROM EXPONENTIATED GAMMA DISTRIBUTION BASED ON RECORD VALUES CHARACTERIZATION RO EPONENTIATED GAA DISTRIBUTION BASED ON RECORD VAUES A I Sh * R A Bo Gr Cog o Euo PO Bo 55 Jh 5 Su Ar Gr Cog o Euo Dr o h PO Bo 69 Jh 9 Su Ar ABSTRACT I h r u h or ror u ro o g ruo r

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

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem Mahmacal ascs 8 Chapr VIII amplg Dsrbos ad h Cral Lm Thorm Fcos of radom arabls ar sall of rs sascal applcao Cosdr a s of obsrabl radom arabls L For ampl sppos h arabls ar a radom sampl of s from a poplao

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables Rajh gh Dparm of ac,baara Hdu Uvr(U.P.), Ida Pakaj Chauha, rmala awa chool of ac, DAVV, Idor (M.P.), Ida Flor maradach Dparm of Mahmac, Uvr of w Mco, Gallup, UA Improvd Epoal Emaor for Populao Varac Ug

More information

EE243 Advanced Electromagnetic Theory Lec # 10: Poynting s Theorem, Time- Harmonic EM Fields

EE243 Advanced Electromagnetic Theory Lec # 10: Poynting s Theorem, Time- Harmonic EM Fields Appl M Fall 6 Nuruhr Lcur # r 9/6/6 4 Avanc lcromagnc Thory Lc # : Poynng s Thorm Tm- armonc M Fls Poynng s Thorm Consrvaon o nrgy an momnum Poynng s Thorm or Lnar sprsv Ma Poynng s Thorm or Tm-armonc

More information

EE 232 Lightwave Devices. Photodiodes

EE 232 Lightwave Devices. Photodiodes EE 3 Lgwav Dvcs Lcur 8: oocoucors a p-- ooos Rag: Cuag, Cap. 4 Isrucor: Mg C. Wu Uvrsy of Calfora, Brkly Elcrcal Egrg a Compur Sccs Dp. EE3 Lcur 8-8. Uvrsy of Calfora oocoucors ω + - x Ara w L Euval Crcu

More information

Chapter 5 Transient Analysis

Chapter 5 Transient Analysis hpr 5 rs Alyss Jsug Jg ompl rspos rs rspos y-s rspos m os rs orr co orr Dffrl Equo. rs Alyss h ffrc of lyss of crcus wh rgy sorg lms (ucors or cpcors) & m-ryg sgls wh rss crcus s h h quos rsulg from r

More information

Fractal diffusion retrospective problems

Fractal diffusion retrospective problems Iraoa ora o App Mahac croc a Copr Avac Tchoo a Scc ISSN: 47-8847-6799 wwwaccor/iamc Ora Rarch Papr Fraca o rropcv prob O Yaro Rcv 6 h Ocobr 3 Accp 4 h aar 4 Abrac: I h arc w h rropcv vr prob Th rropcv

More information

Lecture 12: Introduction to nonlinear optics II.

Lecture 12: Introduction to nonlinear optics II. Lcur : Iroduco o olar opcs II r Kužl ropagao of srog opc sgals propr olar ffcs Scod ordr ffcs! Thr-wav mxg has machg codo! Scod harmoc grao! Sum frqucy grao! aramrc grao Thrd ordr ffcs! Four-wav mxg! Opcal

More information

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

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

More information

CATAVASII LA NAȘTEREA DOMNULUI DUMNEZEU ȘI MÂNTUITORULUI NOSTRU, IISUS HRISTOS. CÂNTAREA I-A. Ήχος Πα. to os se e e na aș te e e slă ă ă vi i i i i

CATAVASII LA NAȘTEREA DOMNULUI DUMNEZEU ȘI MÂNTUITORULUI NOSTRU, IISUS HRISTOS. CÂNTAREA I-A. Ήχος Πα. to os se e e na aș te e e slă ă ă vi i i i i CATAVASII LA NAȘTEREA DOMNULUI DUMNEZEU ȘI MÂNTUITORULUI NOSTRU, IISUS HRISTOS. CÂNTAREA I-A Ήχος α H ris to os s n ș t slă ă ă vi i i i i ți'l Hris to o os di in c ru u uri, în tâm pi i n ți i'l Hris

More information

The Exile Began. Family Journal Page. God Called Jeremiah Jeremiah 1. Preschool. below. Tell. them too. Kids. Ke Passage: Ezekiel 37:27

The Exile Began. Family Journal Page. God Called Jeremiah Jeremiah 1. Preschool. below. Tell. them too. Kids. Ke Passage: Ezekiel 37:27 Faily Jo Pag Th Exil Bg io hy u c prof b jo ou Shar ab ou job ab ar h o ay u Yo ra u ar u r a i A h ) ar par ( grp hav h y y b jo i crib blo Tll ri ir r a r gro up Allo big u r a i Rvi h b of ha u ha a

More information

Linear System Review. Linear System Review. Descriptions of Linear Systems: 2008 Spring ME854 - GGZ Page 1

Linear System Review. Linear System Review. Descriptions of Linear Systems: 2008 Spring ME854 - GGZ Page 1 8 Sprg ME854 - Z Pg r Sym Rvw r Sym Rvw r Sym Rvw crpo of r Sym: p m R y R R y FT : & U Y Trfr Fco : y or : & : d y d r Sym Rvw orollbly d Obrvbly: fo 3.: FT dymc ym or h pr d o b corollbl f y l > d fl

More information

Chap 2: Reliability and Availability Models

Chap 2: Reliability and Availability Models Chap : lably ad valably Modls lably = prob{s s fully fucog [,]} Suppos from [,] m prod, w masur ou of N compos, of whch N : # of compos oprag corrcly a m N f : # of compos whch hav fald a m rlably of h

More information

Overview. Splay trees. Balanced binary search trees. Inge Li Gørtz. Self-adjusting BST (Sleator-Tarjan 1983).

Overview. Splay trees. Balanced binary search trees. Inge Li Gørtz. Self-adjusting BST (Sleator-Tarjan 1983). Ovrvw B r rh r: R-k r -3-4 r 00 Ig L Gør Amor Dm rogrmmg Nwork fow Srg mhg Srg g Comuo gomr Irouo o NP-om Rom gorhm B r rh r -3-4 r Aow,, or 3 k r o Prf Evr h from roo o f h m gh mr h E w E R E R rgr h

More information

THE STOCHASTIC SEASONAL BEHAVIOR OF THE NATURAL GAS PRICE

THE STOCHASTIC SEASONAL BEHAVIOR OF THE NATURAL GAS PRICE E SOCASIC SEASONAL BEAVIOR OF E NAURAL GAS PRICE. Irouco Aré García ra Fracco Javr Poblacó García Prlmary Draf Ju-5 Acamc a pracor hav b rcly payg ao o a facal grg u: h valuao a hgg of commoy cog clam.

More information

Chapter 12 Introduction To The Laplace Transform

Chapter 12 Introduction To The Laplace Transform Chapr Inroducion To Th aplac Tranorm Diniion o h aplac Tranorm - Th Sp & Impul uncion aplac Tranorm o pciic uncion 5 Opraional Tranorm Applying h aplac Tranorm 7 Invr Tranorm o Raional uncion 8 Pol and

More information

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

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

More information

Trade Patterns, Production networks, and Trade and employment in the Asia-US region

Trade Patterns, Production networks, and Trade and employment in the Asia-US region Trade Patterns, Production networks, and Trade and employment in the Asia-U region atoshi Inomata Institute of Developing Economies ETRO Development of cross-national production linkages, 1985-2005 1985

More information

Conventional Hot-Wire Anemometer

Conventional Hot-Wire Anemometer Convnonal Ho-Wr Anmomr cro Ho Wr Avanag much mallr prob z mm o µm br paal roluon array o h nor hghr rquncy rpon lowr co prormanc/co abrcaon roc I µm lghly op p layr 8µm havly boron op ch op layr abrcaon

More information

1- I. M. ALGHROUZ: A New Approach To Fractional Derivatives, J. AOU, V. 10, (2007), pp

1- I. M. ALGHROUZ: A New Approach To Fractional Derivatives, J. AOU, V. 10, (2007), pp Jourl o Al-Qus Op Uvrsy or Rsrch Sus - No.4 - Ocobr 8 Rrcs: - I. M. ALGHROUZ: A Nw Approch To Frcol Drvvs, J. AOU, V., 7, pp. 4-47 - K.S. Mllr: Drvvs o or orr: Mh M., V 68, 995 pp. 83-9. 3- I. PODLUBNY:

More information

Payroll Direct Deposit

Payroll Direct Deposit Payroll Dirct Dposit Dirct Dposit for mploy paychcks allows cntrs to avoi printing an physically istributing papr chcks to mploys. Dirct posits ar ma through a systm known as Automat Claring Hous (ACH),

More information

Server breakdown and repair, Multiple vacation, Closedown, Balking and Stand-by server.

Server breakdown and repair, Multiple vacation, Closedown, Balking and Stand-by server. OR Jor of Mhc OR-JM -N: 78-578 -N: 9-765 o 6 r No - Dc6 56-74 ororor A G M h o hroo rc rr ro rr M co oo - rr GA r Dr of Mhc ochrr Er o chrr Arc: Th oc of h r o h hor of h rr ro rr M G h o hroo rc co coo

More information

Chapter 5 Transmission Lines

Chapter 5 Transmission Lines ap 5 ao 5- aacc of ao ao l: a o cou ca cu o uppo a M av c M o qua-m o. Fo M o a H M H a M a µ M. cu a M av av ff caacc. A M av popaa o ff lcc a paal flco a paal ao ll occu. A ob follo ul. ll la: p a β

More information

EE Control Systems LECTURE 11

EE Control Systems LECTURE 11 Up: Moy, Ocor 5, 7 EE 434 - Corol Sy LECTUE Copyrigh FL Lwi 999 All righ rrv POLE PLACEMET A STEA-STATE EO Uig fc, o c ov h clo-loop pol o h h y prforc iprov O c lo lc uil copor o oi goo y- rcig y uyig

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

A Simple Representation of the Weighted Non-Central Chi-Square Distribution

A Simple Representation of the Weighted Non-Central Chi-Square Distribution SSN: 9-875 raoa Joura o ovav Rarch Scc grg a Tchoogy (A S 97: 7 Cr rgaao) Vo u 9 Sbr A S Rrao o h Wgh No-Cra Ch-Squar Drbuo Dr ay A hry Dr Sahar A brah Dr Ya Y Aba Proor D o Mahaca Sac u o Saca Su a Rarch

More information

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

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

More information

Wireless & Hybrid Fire Solutions

Wireless & Hybrid Fire Solutions ic b 8 c b u i N5 b 4o 25 ii p f i b p r p ri u o iv p i o c v p c i b A i r v Hri F N R L L T L RK N R L L rr F F r P o F i c b T F c c A vri r of op oc F r P, u icoc b ric, i fxib r i i ribi c c A K

More information

Physics 160 Lecture 3. R. Johnson April 6, 2015

Physics 160 Lecture 3. R. Johnson April 6, 2015 Physics 6 Lcur 3 R. Johnson April 6, 5 RC Circui (Low-Pass Filr This is h sam RC circui w lookd a arlir h im doma, bu hr w ar rsd h frquncy rspons. So w pu a s wav sad of a sp funcion. whr R C RC Complx

More information

Chair Susan Pilkington called the meeting to order.

Chair Susan Pilkington called the meeting to order. PGE PRK D RECREO DVOR COMMEE REGUR MEEG MUE MOD, JU, Ru M h P P d R d Cmm hd : m Ju,, h Cu Chmb C H P, z Ch u P dd, Mmb B C, Gm Cu D W Bd mmb b: m D, d Md z ud mmb : C M, J C P Cmmu Dm D, Km Jh Pub W M,

More information

) and furthermore all X. The definition of the term stationary requires that the distribution fulfills the condition:

) and furthermore all X. The definition of the term stationary requires that the distribution fulfills the condition: Assigm Thomas Aam, Spha Brumm, Haik Lor May 6 h, 3 8 h smsr, 357, 7544, 757 oblm For R b X a raom variabl havig ormal isribuio wih ma µ a variac σ (his is wri as ~ (,) X. by: R a. Is X ) a urhrmor all

More information

2 tel

2   tel Us. Timeless, sophisticated wall decor that is classic yet modern. Our style has no limitations; from traditional to contemporar y, with global design inspiration. The attention to detail and hand- craf

More information

EQUATION SHEETS FOR ELEC

EQUATION SHEETS FOR ELEC QUTON SHTS FO C 47 Fbuay 7 QUTON SHTS FO C 47 Fbuay 7 hs hυ h ω ( J ) h.4 ω υ ( µ ) ( ) h h k π υ ε ( / s ) G Os (Us > x < a ) Sll s aw s s s Shal z z Shal buay (, aus ) z y y z z z Shal ls ( s sua, s

More information

Introduction to Laplace Transforms October 25, 2017

Introduction to Laplace Transforms October 25, 2017 Iroduco o Lplc Trform Ocobr 5, 7 Iroduco o Lplc Trform Lrr ro Mchcl Egrg 5 Smr Egrg l Ocobr 5, 7 Oul Rvw l cl Wh Lplc rform fo of Lplc rform Gg rform b gro Fdg rform d vr rform from bl d horm pplco o dffrl

More information

Lesson Ten. What role does energy play in chemical reactions? Grade 8. Science. 90 minutes ENGLISH LANGUAGE ARTS

Lesson Ten. What role does energy play in chemical reactions? Grade 8. Science. 90 minutes ENGLISH LANGUAGE ARTS Lesson Ten What role does energy play in chemical reactions? Science Asking Questions, Developing Models, Investigating, Analyzing Data and Obtaining, Evaluating, and Communicating Information ENGLISH

More information

EX. WOODS 7.37± ACRES (320,826± SQ. FT.) BM# EX. WOODS UNKNOWN RISER 685

EX. WOODS 7.37± ACRES (320,826± SQ. FT.) BM# EX. WOODS UNKNOWN RISER 685 Y RUUR - - Ø R. ( P=. ( " P=. ( " P=. ( " P=. RY -B - Ø R. ( P=. ( P=. ( " P=.. O OUR RY OPY R.. #-. YR PR. R.= PROPRY RO = PROPRY RO OU R L POL R P O BOLL L PPRO LOO O Y R R. L., P. (OU UL O R L POL LOO

More information

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s A g la di ou s F. L. 462 E l ec tr on ic D ev el op me nt A i ng er A.W.S. 371 C. A. M. A l ex an de r 236 A d mi ni st ra ti on R. H. (M rs ) A n dr ew s P. V. 326 O p ti ca l Tr an sm is si on A p ps

More information

where: u: input y: output x: state vector A, B, C, D are const matrices

where: u: input y: output x: state vector A, B, C, D are const matrices Sa pac modl: linar: y or in om : Sa q : f, u Oupu q : y h, u u Du F Gu y H Ju whr: u: inpu y: oupu : a vcor,,, D ar con maric Eampl " $ & ' " $ & 'u y " & * * * * [ ],, D H D I " $ " & $ ' " & $ ' " &

More information

Neutrosophic Hyperideals of Semihyperrings

Neutrosophic Hyperideals of Semihyperrings Nuooph m Vol. 06 05 Uv o Nw Mo Nuooph Hpl o mhpg D Ml Dpm o Mhm j P Moh Collg Up Hooghl-758 mljumh@gml.om A. h pp w hv ou uooph hpl o mhpg o om opo o hm o u oo pop. Kwo: C Pou Compoo l o Nuooph mhpmg.

More information

Reliability Mathematics Analysis on Traction Substation Operation

Reliability Mathematics Analysis on Traction Substation Operation WSES NSCIONS o HEICS Hoh S lal aha al o rao Sao Orao HONSHEN SU Shool o oao a Elral Er azho Jaoo Ur azho 77..CHIN h@6.o ra: - I lr ralwa rao owr l h oraoal qal a rlal o h a rao raorr loo hhr o o o oaral

More information

, R we have. x x. ) 1 x. R and is a positive bounded. det. International Journal of Basic & Applied Sciences IJBAS-IJENS Vol:10 No:06 11

, R we have. x x. ) 1 x. R and is a positive bounded. det. International Journal of Basic & Applied Sciences IJBAS-IJENS Vol:10 No:06 11 raioal Joral of asic & ppli Scics JS-JENS Vol: No:6 So Dirichl ors a Pso Diffrial Opraors wih Coiioall Epoial Cov cio aa. M. Kail Dpar of Mahaics; acl of Scic; Ki laziz Uivrsi Jah Sai raia Eail: fkail@ka..sa

More information

9. Simple Rules for Monetary Policy

9. Simple Rules for Monetary Policy 9. Smpl Ruls for Monar Polc John B. Talor, Ma 0, 03 Woodford, AR 00 ovrvw papr Purpos s o consdr o wha xn hs prscrpon rsmbls h sor of polc ha conomc hor would rcommnd Bu frs, l s rvw how hs sor of polc

More information

A B C D E F G H I J K

A B C D E F G H I J K 3 5 6 7 8 9 0 3 4 5 6 7 8 9 Cu D. R P P P 3 P 4 P 5 P 6 P 7 M ASHP 33 P C PAP P C PAP AP S AP S P C PAP P C PAP ASHP 3 AP C AB AP C BC AP C AB AP C AB AP C AB AP C AB M ASHP N405, 9 C S I 9 C S I 9 C S

More information

1973 AP Calculus BC: Section I

1973 AP Calculus BC: Section I 97 AP Calculus BC: Scio I 9 Mius No Calculaor No: I his amiaio, l dos h aural logarihm of (ha is, logarihm o h bas ).. If f ( ) =, h f ( ) = ( ). ( ) + d = 7 6. If f( ) = +, h h s of valus for which f

More information

Factors Success op Ten Critical T the exactly what wonder may you referenced, being questions different the all With success critical ten top the of l

Factors Success op Ten Critical T the exactly what wonder may you referenced, being questions different the all With success critical ten top the of l Fr Su p T rl T xl r rr, bg r ll Wh u rl p l Fllg ll r lkg plr plr rl r kg: 1 k r r u v P 2 u l r P 3 ) r rl k 4 k rprl 5 6 k prbl lvg hkg rl 7 lxbl F 8 l S v 9 p rh L 0 1 k r T h r S pbl r u rl bv p p

More information

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o u l d a l w a y s b e t a k e n, i n c l u d f o l

More information

Use precise language and domain-specific vocabulary to inform about or explain the topic. CCSS.ELA-LITERACY.WHST D

Use precise language and domain-specific vocabulary to inform about or explain the topic. CCSS.ELA-LITERACY.WHST D Lesson eight What are characteristics of chemical reactions? Science Constructing Explanations, Engaging in Argument and Obtaining, Evaluating, and Communicating Information ENGLISH LANGUAGE ARTS Reading

More information

SAN JOSE CITY COLLEGE PHYSICAL EDUCATION BUILDING AND RENOVATED LAB BUILDING SYMBOL LIST & GENERAL NOTES - MECHANICAL

SAN JOSE CITY COLLEGE PHYSICAL EDUCATION BUILDING AND RENOVATED LAB BUILDING SYMBOL LIST & GENERAL NOTES - MECHANICAL S SRUUR OR OORO SU sketch SYO SRPO OO OU O SUPPOR YP SUPPOR O UR SOS OVR SOS (xwx) X W (S) RR RWS U- R R OR ROO OR P S SPR SO S OS OW "Wx00"x0" 000.0, 8/7.0 Z U- R R UPPR ROO S S S SPR SO S OS OW 0"Wx0"x90"

More information

LAUREL HILL VERMONT APRIL 2014

LAUREL HILL VERMONT APRIL 2014 MY Y / OVR O OP MP R OP Y R Y K R U M R PK R R OM R P U ROU P O R RMP OO R MP MOU R RR UR R OU V OR V M O OR R OP R R R OO JOV Y V R V OO Y OUR PKY U V O VY MP O R R UR R R O O V R R R R RO Y P Y QU RU

More information

Lecture 4 : Backpropagation Algorithm. Prof. Seul Jung ( Intelligent Systems and Emotional Engineering Laboratory) Chungnam National University

Lecture 4 : Backpropagation Algorithm. Prof. Seul Jung ( Intelligent Systems and Emotional Engineering Laboratory) Chungnam National University Lcur 4 : Bacpropagaon Algorhm Pro. Sul Jung Inllgn Sm and moonal ngnrng Laboraor Chungnam Naonal Unvr Inroducon o Bacpropagaon algorhm 969 Mn and Papr aac. 980 Parr and Wrbo dcovrd bac propagaon algorhm.

More information

13 Congruent Circles in a Circle

13 Congruent Circles in a Circle B - g zu Agb u G bu B Agb Gy g z u Agb u G Vu B ä bu g zu Agb u Agb G N hyh Gy bu D kg Agb Gy Vu gu Vu N N - F F Fhvz u IV h D kg H hyh Sz D Hugy kg gu Ab kg gu kw qu gu I h F F x gu hw gu Fhvz u Kvz qugh

More information

Lecture 23. Multilayer Structures

Lecture 23. Multilayer Structures Lcu Mullay Sucus In hs lcu yu wll lan: Mullay sucus Dlcc an-flcn (AR) cangs Dlcc hgh-flcn (HR) cangs Phnc Band-Gap Sucus C Fall 5 Fahan Rana Cnll Unvsy Tansmssn Ln Juncns and Dscnnus - I Tansmssn ln dscnnus

More information

Summary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns

Summary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns Summary: Solvng a Homognous Sysm of Two Lnar Frs Ordr Equaons n Two Unknowns Gvn: A Frs fnd h wo gnvalus, r, and hr rspcv corrspondng gnvcors, k, of h coffcn mar A Dpndng on h gnvalus and gnvcors, h gnral

More information

APPENDIX F WATER USE SUMMARY

APPENDIX F WATER USE SUMMARY APPENDX F WATER USE SUMMARY From Past Projects Town of Norman Wells Water Storage Facltes Exstng Storage Requrements and Tank Volume Requred Fre Flow 492.5 m 3 See Feb 27/9 letter MACA to Norman Wells

More information

4. THE DENSITY MATRIX

4. THE DENSITY MATRIX 4. THE DENSTY MATRX The desy marx or desy operaor s a alerae represeao of he sae of a quaum sysem for whch we have prevously used he wavefuco. Alhough descrbg a quaum sysem wh he desy marx s equvale o

More information

Example: Two Stochastic Process u~u[0,1]

Example: Two Stochastic Process u~u[0,1] Co o Slo o Coco S Sh EE I Gholo h@h. ll Sochc Slo Dc Slo l h PLL c Mo o coco w h o c o Ic o Co B P o Go E A o o Po o Th h h o q o ol o oc o lco q ccc lco l Bc El: Uo Dbo Ucol Sl Ab bo col l G col G col

More information

Early Years in Colorado

Early Years in Colorado Rp m H V I 6 p - Bb W M M M B L W M b w b B W C w m p w bm 7 Nw m m m p b p m w p E Y C W m D w w Em W m 7- A m m 7 w b m p V A Gw C M Am W P w C Am H m C q Dpm A m p w m m b W I w b-w C M B b m p W Nw

More information

c. What is the average rate of change of f on the interval [, ]? Answer: d. What is a local minimum value of f? Answer: 5 e. On what interval(s) is f

c. What is the average rate of change of f on the interval [, ]? Answer: d. What is a local minimum value of f? Answer: 5 e. On what interval(s) is f Essential Skills Chapter f ( x + h) f ( x ). Simplifying the difference quotient Section. h f ( x + h) f ( x ) Example: For f ( x) = 4x 4 x, find and simplify completely. h Answer: 4 8x 4 h. Finding the

More information

8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system

8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system 8. Quug sysms Cos 8. Quug sysms Rfrshr: Sml lraffc modl Quug dscl M/M/ srvr wag lacs Alcao o ack lvl modllg of daa raffc M/M/ srvrs wag lacs lc8. S-38.45 Iroduco o Tlraffc Thory Srg 5 8. Quug sysms 8.

More information

H STO RY OF TH E SA NT

H STO RY OF TH E SA NT O RY OF E N G L R R VER ritten for the entennial of th e Foundin g of t lair oun t y on ay 8 82 Y EEL N E JEN K RP O N! R ENJ F ] jun E 3 1 92! Ph in t ed b y h e t l a i r R ep u b l i c a n O 4 1922

More information

Final Exam : Solutions

Final Exam : Solutions Comp : Algorihm and Daa Srucur Final Exam : Soluion. Rcuriv Algorihm. (a) To bgin ind h mdian o {x, x,... x n }. Sinc vry numbr xcp on in h inrval [0, n] appar xacly onc in h li, w hav ha h mdian mu b

More information

Consider a system of 2 simultaneous first order linear equations

Consider a system of 2 simultaneous first order linear equations Soluon of sysms of frs ordr lnar quaons onsdr a sysm of smulanous frs ordr lnar quaons a b c d I has h alrna mar-vcor rprsnaon a b c d Or, n shorhand A, f A s alrady known from con W know ha h abov sysm

More information

Control Systems. Transient and Steady State Response.

Control Systems. Transient and Steady State Response. Corol Sym Trai a Say Sa Ro chibum@oulch.ac.kr Ouli Tim Domai Aalyi orr ym Ui ro Ui ram ro Ui imul ro Chibum L -Soulch Corol Sym Tim Domai Aalyi Afr h mahmaical mol of h ym i obai, aalyi of ym rformac i.

More information

Lecture 6 - SISO Loop Analysis

Lecture 6 - SISO Loop Analysis Lctr 6 - IO Loop Aal IO gl Ipt gl Otpt Aal: tablt rformac Robt EE39m - Wtr 003 otrol Egrg 6- ODE tablt Lapo tablt thor - olar tm tablt fto frt rct mtho xpotal corgc co mtho: Lapo fcto gralzato of rg pato

More information

Context Elevation A3

Context Elevation A3 Context levation 1:100 @ A3 8 Pope treet Brewery quare Dorchester D1 1G o. 8 ARA ft² m² GIA BAM 1,762 163.7 OAL G.I.A 3,805 353.5 IA BAM 1,702 158.1 OAL.I.A 3,598 334.3 I..Z.A. 1,160 107.8 o 8 Pope treet

More information

Overview. Introduction Building Classifiers (2) Introduction Building Classifiers. Introduction. Introduction to Pattern Recognition and Data Mining

Overview. Introduction Building Classifiers (2) Introduction Building Classifiers. Introduction. Introduction to Pattern Recognition and Data Mining Ovrv Iroduco o ar Rcogo ad Daa Mg Lcur 4: Lar Dcra Fuco Irucor: Dr. Gova Dpar of Copur Egrg aa Clara Uvry Iroduco Approach o uldg clafr Lar dcra fuco: dfo ad urfac Lar paral ca rcpro crra Ohr hod Lar Dcra

More information

drawing issue sheet Former Royal High School - Hotel Development

drawing issue sheet Former Royal High School - Hotel Development H Forer oyal High chool - Hotel Developent drawing isse sheet general arrangeents drawing nber drawing title scale size L()1 ite Plan 1:1 / L()1 egent oad level proposed floor plan 1: 1 / L() ntrance level

More information

On the Existence and uniqueness for solution of system Fractional Differential Equations

On the Existence and uniqueness for solution of system Fractional Differential Equations OSR Jourl o Mhms OSR-JM SSN: 78-578. Volum 4 ssu 3 Nov. - D. PP -5 www.osrjourls.org O h Es d uquss or soluo o ssm rol Drl Equos Mh Ad Al-Wh Dprm o Appld S Uvrs o holog Bghdd- rq Asr: hs ppr w d horm o

More information

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule Lcur : Numrical ngraion Th Trapzoidal and Simpson s Rul A problm Th probabiliy of a normally disribud (man µ and sandard dviaion σ ) vn occurring bwn h valus a and b is B A P( a x b) d () π whr a µ b -

More information

[ zd z zdz dψ + 2i. 2 e i ψ 2 dz. (σ 2 ) 2 +(σ 3 ) 2 = (1+ z 2 ) 2

[ zd z zdz dψ + 2i. 2 e i ψ 2 dz. (σ 2 ) 2 +(σ 3 ) 2 = (1+ z 2 ) 2 2 S 2 2 2 2 2 M M 4 S 2 S 2 z, w : C S 2 z = 1/w e iψ S 1 S 2 σ 1 = 1 ( ) [ zd z zdz dψ + 2i 2 1 + z 2, σ 2 = Re 2 e i ψ 2 dz 1 + z 2 ], σ 3 = Im [ 2 e i ψ 2 dz 1 + z 2 σ 2 σ 3 (σ 2 ) 2 (σ 3 ) 2 σ 2 σ

More information

Beechwood Music Department Staff

Beechwood Music Department Staff Beechwood Music Department Staff MRS SARAH KERSHAW - HEAD OF MUSIC S a ra h K e rs h a w t r a i n e d a t t h e R oy a l We ls h C o l le g e of M u s i c a n d D ra m a w h e re s h e ob t a i n e d

More information

Multiple Short Term Infusion Homework # 5 PHA 5127

Multiple Short Term Infusion Homework # 5 PHA 5127 Multipl Short rm Infusion Homwork # 5 PHA 527 A rug is aministr as a short trm infusion. h avrag pharmacokintic paramtrs for this rug ar: k 0.40 hr - V 28 L his rug follows a on-compartmnt boy mol. A 300

More information

Poisson Arrival Process

Poisson Arrival Process 1 Poisso Arrival Procss Arrivals occur i) i a mmorylss mar ii) [ o arrival durig Δ ] = λδ + ( Δ ) P o [ o arrival durig Δ ] = 1 λδ + ( Δ ) P o P j arrivals durig Δ = o Δ for j = 2,3, ( ) o Δ whr lim =

More information

EE"232"Lightwave"Devices Lecture"16:"p7i7n"Photodiodes"and" Photoconductors"

EE232LightwaveDevices Lecture16:p7i7nPhotodiodesand Photoconductors EE"232"Lgwav"Dvcs Lcur"16:"p77n"Pooos"an" Pooconucors" Rang:"Cuang,"Cap."15"(2 n E) Insrucor:"Mng"C."Wu Unvrsy"of"Calforna,"Brkly Elcrcal"Engnrng"an"Compur"Scncs"Dp. EE232$Lcur$16-1 Rvrs"bas%p""n%juncon

More information

PRELIMINARY- NOT FOR CONSTRUCTION

PRELIMINARY- NOT FOR CONSTRUCTION PRLMR- O OR RUO M:\L PRO 0\00 U\\0 VR. /0/0 :: M ML' - U, - LURL PL X: 0. VR O URV. MO PL. LOU PL. -. RV-RU PL. R PL. UL PL. LP PL PROPR RPO: LO,, 9 L MMRL PL, OL PL O LU ORM PR O O U, LL U, O. R: LURL

More information

1. Quark mixing and CKM matrix

1. Quark mixing and CKM matrix Avan arl hy: IX. Flavor Ollaon an C olaon IX. Flavor ollaon an C volaon. Quark xng an h CM arx. Flavor ollaon: Mxng o nural on 3. C volaon. Nurno ollaon. Quark xng an CM arx. Quark xng: Ma gna ar no ual

More information

WOODS HOLE ROAD

WOODS HOLE ROAD R R B R R C M B, RM, R R B R CP & R, C 477 P U U UC M R MP UR R PR R PR, MUC R PUBC C M R UP RM C R; RM PRPR CP R, C CPR (C) B CP & R, C R RR U R U M M C C CM C M R C B RC P U R CCR R CP R PP U UK CB M

More information

Exercises for lectures 23 Discrete systems

Exercises for lectures 23 Discrete systems Exrciss for lcturs 3 Discrt systms Michal Šbk Automatické říí 06 30-4-7 Stat-Spac a Iput-Output scriptios Automatické říí - Kybrtika a robotika Mols a trasfrs i CSTbx >> F=[ ; 3 4]; G=[ ;]; H=[ ]; J=0;

More information

«Seuls les coeurs purs et les fées vont au paradis. L humanité odieuse dans deux nouvelles de René Barjavel»

«Seuls les coeurs purs et les fées vont au paradis. L humanité odieuse dans deux nouvelles de René Barjavel» «Su u u u hu u ux u R B» G Fu-Gu u : Fu-Gu G 200 «Su u u u hu u ux u R B» u D «ux» 9 E (Cu xx xx xxxx D u : Fu-Gu G 200 «Su u u u hu u ux u R B» u D «ux» 9 3-40 u u u u u u u : uuq@ G Fu -Gu

More information

EE415/515 Fundamentals of Semiconductor Devices Fall 2012

EE415/515 Fundamentals of Semiconductor Devices Fall 2012 3 EE4555 Fudmls of Smicoducor vics Fll cur 8: PN ucio iod hr 8 Forwrd & rvrs bis Moriy crrir diffusio Brrir lowrd blcd by iffusio rducd iffusio icrsd mioriy crrir drif rif hcd 3 EE 4555. E. Morris 3 3

More information

LM A F LABL Y H FRMA H P UBLCA B LV B ACCURA ALL R PC H WVR W C A AU M RP BLY FR AY C QUC RUL G F RM H U HR F H FRMA C A HR UBJC CHA G WHU C R V R W H

LM A F LABL Y H FRMA H P UBLCA B LV B ACCURA ALL R PC H WVR W C A AU M RP BLY FR AY C QUC RUL G F RM H U HR F H FRMA C A HR UBJC CHA G WHU C R V R W H H R & C C M RX700-2 Bx C LM A F LABL Y H FRMA H P UBLCA B LV B ACCURA ALL R PC H WVR W C A AU M RP BLY FR AY C QUC RUL G F RM H U HR F H FRMA C A HR UBJC CHA G WHU C R V R W H PUBLCA M AY B U CRP RA UCH

More information

Topological Insulators and Superconductors

Topological Insulators and Superconductors Topological Insulators and Superconductors Lecture #1: Topology and Band Theory Lecture #: Topological Insulators in and 3 dimensions Lecture #3: Topological Superconductors, Majorana Fermions an Topological

More information

R a. Aeolian Church. A O g C. Air, Storm, Wind. P a h. Affinity: Clan Law. r q V a b a. R 5 Z t 6. c g M b. Atroxic Church. d / X.

R a. Aeolian Church. A O g C. Air, Storm, Wind. P a h. Affinity: Clan Law. r q V a b a. R 5 Z t 6. c g M b. Atroxic Church. d / X. A M W A A A A R A O C A () A 6 A A G A A A A A A-C Au A A P 0 V A T < Au J Az01 Az02 A Au A A A A R 5 Z 6 M B G B B B P T Bu B B B B S B / X B A Cu A, S, W A: S Hu Ru A: C L A, S, F, S A, u F C, R C F

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

Fourier Series: main points

Fourier Series: main points BIOEN 3 Lcur 6 Fourir rasforms Novmbr 9, Fourir Sris: mai pois Ifii sum of sis, cosis, or boh + a a cos( + b si( All frqucis ar igr mulipls of a fudamal frqucy, o F.S. ca rprs ay priodic fucio ha w ca

More information

Phys463.nb Conductivity. Another equivalent definition of the Fermi velocity is

Phys463.nb Conductivity. Another equivalent definition of the Fermi velocity is 39 Anohr quival dfiniion of h Fri vlociy is pf vf (6.4) If h rgy is a quadraic funcion of k H k L, hs wo dfiniions ar idical. If is NOT a quadraic funcion of k (which could happ as will b discussd in h

More information

Priority Search Trees - Part I

Priority Search Trees - Part I .S. 252 Pro. Rorto Taassa oputatoal otry S., 1992 1993 Ltur 9 at: ar 8, 1993 Sr: a Q ol aro Prorty Sar Trs - Part 1 trouto t last ltur, w loo at trval trs. or trval pot losur prols, ty us lar spa a optal

More information

Software Process Models there are many process model s in th e li t e ra t u re, s om e a r e prescriptions and some are descriptions you need to mode

Software Process Models there are many process model s in th e li t e ra t u re, s om e a r e prescriptions and some are descriptions you need to mode Unit 2 : Software Process O b j ec t i ve This unit introduces software systems engineering through a discussion of software processes and their principal characteristics. In order to achieve the desireable

More information

FY 13 TDC Revenue Report 31-Dec-2012

FY 13 TDC Revenue Report 31-Dec-2012 CLLR CNTY TRST TAX RVN CAC January 10, 2013 V-1 Staff Reprts 1 f 18 Budget escriptin und Y 13 Adpted Budget Y 13 (5%) Reserved by Law Y 13 Net Budget Y 13 recast Variance t Y 13 Budget Beach acilities

More information

Phys Nov. 3, 2017 Today s Topics. Continue Chapter 2: Electromagnetic Theory, Photons, and Light Reading for Next Time

Phys Nov. 3, 2017 Today s Topics. Continue Chapter 2: Electromagnetic Theory, Photons, and Light Reading for Next Time Phys 31. No. 3, 17 Today s Topcs Cou Chap : lcomagc Thoy, Phoos, ad Lgh Radg fo Nx Tm 1 By Wdsday: Radg hs Wk Fsh Fowls Ch. (.3.11 Polazao Thoy, Jos Macs, Fsl uaos ad Bws s Agl Homwok hs Wk Chap Homwok

More information

How to construct international inputoutput

How to construct international inputoutput How to construct international inputoutput tables (with the smallest effort) Satoshi Inomata Institute of Developing Economies JETRO OVERVIEW (1) Basic picture of an international input-output table (IIOT)

More information

Engineering Circuit Analysis 8th Edition Chapter Nine Exercise Solutions

Engineering Circuit Analysis 8th Edition Chapter Nine Exercise Solutions Engnrng rcu naly 8h Eon hapr Nn Exrc Soluon. = KΩ, = µf, an uch ha h crcu rpon oramp. a For Sourc-fr paralll crcu: For oramp or b H 9V, V / hoo = H.7.8 ra / 5..7..9 9V 9..9..9 5.75,.5 5.75.5..9 . = nh,

More information

Lecture Y4: Computational Optics I

Lecture Y4: Computational Optics I Phooc ad opolcoc chologs DPMS: Advacd Maals Udsadg lgh ma acos s cucal fo w applcaos Lcu Y4: Compuaoal Opcs I lfos Ldoks Room Π, 65 746 ldok@cc.uo.g hp://cmsl.maals.uo.g/ldoks Rflco ad faco Toal al flco

More information