FROM JACK POLYNOMIALS TO MINIMAL MODEL SPECTRA 1. INTRODUCTION

Size: px
Start display at page:

Download "FROM JACK POLYNOMIALS TO MINIMAL MODEL SPECTRA 1. INTRODUCTION"

Transcription

1 FROM JACK POLYNOMIALS TO MINIMAL MODEL SPECTRA DAVID RIDOUT AND SIMON WOOD ABSTRACT. I ths ote, a deep coecto betwee free feld realsatos of coforal feld theores ad syetrc polyoals s preseted. We gve a bref troducto to the ecessary prerequstes of both free feld realsatos ad syetrc polyoals, partcular Jack syetrc polyoals. The we cobe these two felds to classfy the rreducble represetatos of the al odel vertex operator algebras as a lluatg exaple of the power of these ethods. Whle these results o the represetato theory of the al odels are all kow, ths ote explots the full power of Jack polyoals to preset sgfcat splfcatos of the orgal proofs the lterature. 1. INTRODUCTION Free feld theores have log bee of great terest to coforal feld theory. Not oly are they elegat tractable coforal feld theores ther ow rght, but they are also a versatle tool for realsg ore coplcated coforal feld theores ad akg the tractable. The purpose of ths ote s to preset, a sple ad falar settg, a deep coecto betwee free feld theores ad Jack syetrc polyoals. The syetrc polyoal ethods wll the be appled to the well kow free feld realsatos of the Vrasoro al odels. However, t s portat to stress that these ethods work far ore geerally. We have sply chose to dscuss applcatos to the al odels for pedagogcal purposes. A dfferet exaple, where Jack syetrc polyoals have recetly garered a lot of atteto, s the uch celebrated AGT cojecture [1], whch relates coforal feld theores to the stato calculus of Yag-Mlls theores. The appearace of syetrc polyoals s due to the coforal feld theores questo beg resolved by Coulob gas free feld theores, just as the coforal feld theores ths ote are. Cotrary to what was tally beleved, t does ot see that Jack syetrc polyoals for the ost atural bass for uderstadg the AGT cojecture. Rather, a geeralsato of Jack syetrc polyoals sees to be eeded [2]. The two a results dscussed ths ote are Theores 5 ad 6. Theore 5, whch s orgally due to Mach ad Yaada [3], gves elegat forulae for Vrasoro sgular vectors Fock odules, whle Theore 6, whch s orgally due to Wag [4], deteres the coforal hghest weghts of the rreducble represetatos of the al odel vertex operator algebras also called chral algebras. The orgal proofs, pressve though they are, are rather coplcated ad ths ote gves ovel, drastcally shorteed ad strealed proofs by usg syetrc polyoals, ther er products ad the specalsato ap. These ethods also have the advatage of beg applcable far greater geeralty, as s evdeced by the fact that they were developed [5] whle classfyg the rreducble represetatos of certa logarthc extesos of the al odels. Ths forals also geeralses to the ore volved case of adssble level ŝl2 theores [6]. We equate the al odels wth the sple vertex operator algebras obtaed by takg the quotet of the uversal Vrasoro vertex operator algebras by ther axal deals at specal values of the cetral charge. 1 The represetato theory of the al odels ca thus be obtaed fro that of the uversal Vrasoro vertex operator algebras. Mal odel represetatos are just the uversal Vrasoro vertex operator algebra represetatos that are ahlated by the axal deal. Ths elegat approach to classfyg the represetato theory of the al odels sees to have frst bee cosdered by Feg, Nakash ad Oogur [7] who appled t to a subset of the al odels, because, geeral, havg full coputatoal cotrol over the axal deal s a very hard proble. However, free feld realsatos ad syetrc polyoals are exactly the tools oe eeds to solve ths proble ad Theore 6 exteds the ethods of ahlatg deals [7] to all al odels. 1 Uversal eas that we assue o relatos o the defg feld T other tha those requred by the axos of vertex operator algebras. 1

2 2 D RIDOUT AND S WOOD Ths ote s orgased as follows. Secto 2 gves a overvew of the free boso, the splest exaple of a free feld theory, as well as vertex operators ad screeg operators. Secto 3 troduces syetrc polyoals ad, partcular, gves a overvew of a oe-paraeter faly of bases called the Jack syetrc polyoals. The propertes of these Jack polyoals are what yeld such explct coputatoal cotrol that the represetato theory of the al odel represetatos ca be classfed. Secto 3 eds wth explct forulae for sgular vectors ters of Jack polyoals. These forulae are orgally due to Mach ad Yaada [3], though we gve the ew, uch spler proof of [5]. I Secto 4, the ateral of Sectos 2 ad 3 s cobed to classfy the hghest weghts of the rreducble al odel represetatos, a slar aer to the ethods of Feg, Nakash ad Oogur [7]. Ths s the used to prove the coplete reducblty of the represetato theory wthout recourse to the perhaps less falar ethods of Zhu [8]. Ackowledgeets. The secod author would lke to thak Akhro Tsuchya for troducg h to the fascatg topcs of free feld realsatos ad syetrc polyoals. The secod author would also lke to thak Jaes Lepowsky ad Sddhartha Sah for terestg dscussos ad Johaes Schude for hs extraordary efforts lterature searchg. Both authors thak Perre Matheu for terestg dscussos ad hs strog ecourageet to wrte ths ote. The frst author s research s supported by the Australa Research Coucl Dscovery Project DP The secod author s research s supported by the Australa Research Coucl Dscovery Early Career Researcher Award DE THE FREE BOSON The free boso chral algebra or Heseberg vertex algebra s geerated by a sgle feld a whch satsfes the operator product expaso The Fourer expaso of the feld a s aaw 1 w a = a 1, 2.2 Z thus the operator product expaso ples the followg coutatos relatos: [a,a ] = δ, The Heseberg Le algebra H s the fte desoal Le algebra geerated by the a ad the cetral eleet 1. We detfy the eleet 1 wth the ut of the uversal evelopg algebra UH of H ad assue that 1 acts as the detty o ay H represetato. 2 The Heseberg Le algebra adts a tragular decoposto H = H H 0 H, H 0 = Ca 0 C1, H ± = 1 Ca ±, H = H 0 H. 2.4 The Vera odules F, C, wth respect to ths decoposto are called Fock odules. They are geerated by a hghest weght vector o whch H acts by a = δ,0, [Throughout ths ote, kets wll be reserved for the hghest weght vectors of Fock odules ad wll deote the hghest weght.] The F are the duced fro by F = UH UH C Ths s oly a or restrcto, sce a sple rescalg of the geerators a allows oe to have the cetral eleet act as ultplcato by ay o-ero uber.

3 FROM JACK POLYNOMIALS TO MINIMAL MODEL SPECTRA 3 The paraeter s called the Heseberg weght. As s well kow, the F are all rreducble. As a vector space, F = UH = C[a 1,a 2,...]. 2.7 As a represetato over tself, the Heseberg vertex algebra s detfed wth F 0 ad the operator state correspodece s gve by 0 1, a 10 a, a 1 1 a : a a : !! The Heseberg vertex algebra ca be edowed wth the structure of a vertex operator algebra by choosg a eergy-oetu tesor. Ths choce s ot uque; there s a oe paraeter faly of choces: T = 1 2 : α2 : α 0 2 a, α 0 C. 2.9 The paraeter α 0 deteres the cetral charge of the eergy oetu tesor: c = 1 3α The coeffcets of the Fourer expaso of the eergy oetu tesor are, by defto, the geerators L of the Vrasoro algebra. Forula 2.9 detfes the Vrasoro geerators wth fte sus of eleets of the uversal evelopg algebra UH of the Heseberg Le algebra: T = L 2 = 1 2 : a a : 2 α 0 2 1a 2, Z, Z Z L = 1 2 : a a : α 0 2 1a. Z 2.11 Ths detfcato gves a acto of the Vrasoro algebra o the Fock odules F. The Fock odules thus becoe Vrasoro hghest weght represetatos, that s, L = h δ,0, 0, h = 1 2 α Though the Fock odules are rreducble as Heseberg represetatos, they eed ot be so as Vrasoro represetatos. The Heseberg weghts for whch the coforal weght h s 1 play a specal role as we shall see below. These weghts are roots of the degree 2 polyoal h 1 ad we deote the by α,α. They satsfy the relatos Theore 1 Feg-Fuchs [9]. Let α ± = α 0 ± α0 2 8, 2 α α = α 0, α α = α r,s = 1 r 2 α 1 s 2 α, r,s Z For α 2 C or equvaletly for α 2 C, the Fock odule F s reducble as a Vrasoro represetato f = α r,s for soe r,s Z, rs > 0. 2 If α 2 s o-ratoal or equvaletly f α 2 s o-ratoal, the the Fock odule F s reducble as a Vrasoro represetato f ad oly f = α r,s for soe r,s Z, rs > 0. 3 If α 2 s postve ratoal or equvaletly f α 2 s postve ratoal, the the Fock odule F s reducble as a Vrasoro represetato f ad oly f = α r,s for soe r,s Z. We ot the correspodg result for egatve ratoal α 2 ± as the applcato to the al odels does ot requre t. We reark that Feg ad Fuchs also detered the precse structure of Fock odules as Vrasoro represetatos [9]. For a coprehesve accout of Vrasoro represetato theory, we recoed the book by Iohara ad Koga [10].

4 4 D RIDOUT AND S WOOD The work of Feg ad Fuchs shows that oe ca realse the uversal Vrasoro vertex operator algebra at arbtrary cetral charge c as a vertex operator subalgebra of the Heseberg vertex operator algebra. Ths free feld realsato s called the Coulob gas the physcs lterature. The Fock odules F wth 0 ca be gve a geeralsed vertex algebra structure, that s, a operator state correspodece ca also be defed for the states of F, though the operator product expasos of these felds are geerally ot local. The operators correspodg to the geeratg states F are called vertex operators the physcs lterature. These should ot be cofused wth the felds called chral felds of the vertex operator algebra. Before we ca defe vertex operators, we eed to troduce a operator â whose coutato relatos wth the Heseberg algebra are The expoetal of â shfts weghts, that s, for,µ C, [a,â] = δ,0 1, [1,â] = a 0 e µâ = µe µâ e µâ a 0 = µ e µâ We detfy e µâ = µ. Note that e µâ does ot defe a hooorphs of H represetatos, sce t does ot coute wth H. The vertex operator V correspodg to the state s V = e â a 0 exp a The vertex operators are therefore lear aps The V are ofte defed as the orally ordered expoetals of a feld exp a V : F µ F µ [[, 1 ]] µ a φ = â a o log, V =: e φ : Clearly φ = a, whch tur ples that the operator product expasos of φ wth tself ad wth a are aφw 1, φφw log w w Usg these operator product expasos, oe ca verfy that the vertex operators V are coforal prares of coforal weght h, that s, that I partcular, for h α± = 1, T V α± w T V w h w 2V w 1 w V w w 2V α ± w 1 w V V α± w α ± w = w w, 2.22 that s, the sgular ters of these operator product expasos costtute total dervatves. Vertex operators wth coforal weght 1 are called screeg operators ad were troduced by Dotseko ad Fateev [11]. The coforal weght beg 1 ples that the resdue Q ± = 1 2π V α± wdw 2.23 s a Vrasoro hooorphs, because of I other words, [T,Q ± ] = 1 T V α± wdw = π

5 FROM JACK POLYNOMIALS TO MINIMAL MODEL SPECTRA 5 Ths resdue s, of course, oly well defed whe the expoet of α ±a 0 s a teger. Thus, for α ± µ Z, the resdue of the vertex operator V α± defes a Vrasoro hooorphs Q ± : F µ F µα± A atural questo that oe ca ask ths cotext s whether these resdues ca be geeralsed to obta ore Vrasoro hooorphss. The aswer s yes, at least for sutable Heseberg weghts µ. The soluto to geeralsg these Vrasoro hooorphss les coposg screeg operators. The coposto of vertex operators V µ, = 1,...,, s gve by V µ1 1 V µ = eâ µ j µ µ j 1 < j µ a 0 exp a µ exp a µ Ths forula s derved by usg the operator product expasos above or by usg the coutato relatos of the Heseberg Le algebra. If we set µ = α ±, = 1,...,, the the above forula splfes to V α± 1 V α± = e α ±â 1 < j j α2 ± α ±a 0 exp α ± a a exp α ± We take the opportuty to troduce a faly of syetrc polyoals, called power sus, to splfy otato: p =, p = Up to a phase factor, whch we suppress, the secod factor of 2.26 ca be rewrtte as j κ ±, κ ± = α2 ± j If we evaluate the product of these screeg operators o a Fock odule F µ, the the a 0 geerator acts by ultplcato wth µ ad therefore V α± 1 V α± Let Fµ = e α ±â 1 j j κ ± c κ ± = α ±µ 2π 1! 1 j=1 a exp α ± p a exp α ± p Γ1 j 1κ ± Γ jκ ± Γκ ± 1 Theore 2 Tsuchya-Kae [12]. If dd 1κ / Z ad d dκ / Z, for all tegers d satsfyg 1 d 1, the for each Heseberg weght α,k, k Z, there exsts a cycle such that Q [] = 1 V α 1 V α d 1 d 2.32 c κ s a o-trval Vrasoro hooorphs Q [] : F α,k F α,k Lkewse, f dd 1κ / Z ad d dκ / Z, for all tegers d satsfyg 1 d 1, the for each Heseberg weght α k,,k Z, there exsts a cycle such that Q [] = 1 V α 1 V α d 1 d 2.34 c κ

6 6 D RIDOUT AND S WOOD s a o-trval Vrasoro hooorphs I partcular, 1 f k 1, the there exst vectors v F α,k ad w F αk, such that Q [] : F αk, F αk, Q [] v = α,k Fα,k, Q [] w = αk, Fαk,, 2.36 whle α,k ad αk, are ahlated by Q [] ad Q [], respectvely, 2 f k 0, the Q [] α,k 0 Fα,k, Q [] αk, 0 Fαk, The explct costructo of the cycles s rather subtle ad we refer to [12] for the detals. Itutvely, ca be thought of as cocetrc crcles about 0 that are pched together at 1. Let us try ad uderstad the plcatos of Theore 2 a lttle better. Sce α,k s a Vrasoro hghest weght vector, the so s Q [] [] α,k by vrtue of Q beg a Vrasoro hooorphs. Thus, wheever k 0, the vectors Q [] [] α,k ad Q αk, geerate Vrasoro subrepresetatos Fα,k ad F αk,. Such Vrasoro hghest weght vectors are called sgular vectors. For µ = α,k, µ = α k,, 1 j j κ ± α ±µ ± = 1 1 j j κ± k 1, 2.38 where we have used the defg forulae 2.14 for α,k,α k, ad 2.29 for κ ±. For later use we defe G ;κ± 1 = 1 κ± j j Ths seegly odd choce of κ 1 ± the defto of G s to ake our otato Secto 3 cofor wth the stadard covetos the syetrc polyoals lterature [13]. The costat c κ ± 2.31 oralses the cycles 2.32 ad 2.34 such that 1 c κ ± G : κ 1 ± d 1 d j 1 j = Heceforth, we wll therefore deote by [ ] the hoology class of the cycle that has bee rescaled by c κ ± 1, the κ ± -depedece beg left plct, that s, [ ] = c κ ± The codtos o κ ± at the begg of Theore 2 esure that c κ ± 0. These codtos are et for the applcatos to the al odels ths ote. For a systeatc dscusso of how to regularse [ ] whe these codtos are ot et, see [5, Sectos ]. By expadg the forulae for the Vrasoro hooorphss Q [] ± o F α,k ad F αk,, oe sees that Q [] ± = e α ±â [ ] G ;κ 1 ± k a exp α ± p exp a α ± p d 1 d Apart fro the ultvalued fucto G, the tegrad cossts of a fte su of ooals UH UH where the coeffcets are products of polyoals ether postve or egatve powers of the. It turs out that for syetrc polyoals f,g, the parg f,g κ 1 ± = G ;κ± 1 f 1,..., g 1,..., d 1 d, [ ]

7 FROM JACK POLYNOMIALS TO MINIMAL MODEL SPECTRA 7 where g 1,..., = g 1 1,..., 1, defes a o-degeerate syetrc blear for o the rg of syetrc polyoals varables. Evaluatg the Vrasoro hooorphs Q [] ± 2.42 therefore reduces to evaluatg er products of syetrc polyoals. As we shall see, ths s a well kow proble wth a elegat soluto. 3. SYMMETRIC POLYNOMIALS For a coprehesve study of syetrc polyoals, we recoed the book by Macdoald [13]. Let Λ be the rg of syetrc polyoals wth coplex coeffcets. As a coutatve rg, Λ s geerated by a uber of terestg sets of polyoals cludg the eleetary syetrc polyoals e = 1 j 1 < < j j1 j, = 1,..., 3.1 ad the power sus p = j=1 j, = 1,...,. 3.2 These polyoals are algebracally depedet ad geerate Λ freely, that s, Λ = C[e 1,...,e ] = C[p 1,...,p ]. 3.3 The rg Λ s clearly also a coplex vector space ad t s atural to look for coveet bases. Oe such bass s costructed fro the power sus. Let = 1,..., k, k 0, be a partto of a teger wth largest part 1 we follow the coveto of lstg the parts weakly descedg order. The, for all such, the p = p1 pk are learly depedet ad for a bass of Λ. Aother coveet bass of Λ s gve by the ooal syetrc polyoals. Let µ = µ 1,..., µ be a partto of legth lµ at ost f the partto s shorter tha pad t wth 0s at the ed utl t s legth. The, the ooal syetrc polyoals are defed as 3.4 µ = τ 1 1 τ, τ {all dstct perutatos of µ}. 3.5 τ We shall refer to these polyoals as the syetrc ooals for brevty. As we ca see fro the power sus ad the syetrc ooals, the set of parttos that label bass eleets ust be trucated oce the weght = s greater tha the uber of varables. Specfcally, there exst parttos wth 1 >, whch are ot allowed for the power sus, or l >, whch are ot allowed for the syetrc ooals. Ths s why t s coveet to work the lt of ftely ay varables: Oe ca the easly recover the fte varable case by the projecto Λ = l Λ. 3.6 γ : Λ Λ 3.7 j 1 j j 0 j > that sets to 0 all but the frst varables. The power sus ftely ay varables ow geerate Λ as ther fte-varable versos dd Λ. We cotue to use 3.4 to defe p the fte-varable case. Λ = C[p 1,p 2,p 3,...]. 3.8

8 8 D RIDOUT AND S WOOD The power su ad syetrc ooal bases of Λ are ow labelled by all parttos of tegers wthout restrctos o parts or legths: Λ = Cp = C. 3.9 The projecto to the fte varable case s partcularly easy the syetrc ooal bass: γ : Λ Λ 3.10 µ 1,..., lµ µ. 0 else Recall that, by 2.7, the uversal evelopg algebra UH s also a polyoal algebra ftely ay geerators. Idetfyg these two algebras wll be portat below. Proposto 3. For f,g Λ ad κ C such that d/κ / Z for all tegers satsfyg 1 d, the blear for f,g κ = G ;κ f 1,..., g 1,..., d 1 d s 1 syetrc, 2 o-degeerate, [ ] 3 graded: f,g κ = 0 f deg f degg. Proposto 3 leads us to the bass of Λ that s ost portat for our purposes, the Jack polyoals P κ. These polyoals are charactersed by two propertes [13]: 1 The Jack polyoals have upper tragular expasos the bass of syetrc ooals wth respect to the doace orderg of parttos 3, that s, where the u,µ κ C ad u, κ = 1. P κ = u,µ κ µ, 3.12 µ 2 The Jack polyoals are utually orthogoal: P κ,p κ κ µ = 0, f µ Sce the doace orderg of parttos s oly a partal orderg, tryg to detere the Jack polyoals by eas of Gra-Schdt orthogoalsato s a overdetered proble. Showg that they exst s therefore o-trval, see [13]. We prepare soe otato regardg parttos. For a partto, let s =, j be a box the Youg tableau of, so that = 1,...,l ad j = 1,...,. The, the ar legth, coar legth, leg legth ad coleg legth are defed to be as = j, a s = j 1, ls = j, l s = 1, 3.14 respectvely, where s the cojugate partto of, that s, the partto for whch the colus ad rows of the Youg tableau have bee exchaged. Proposto 4. 1 Jack polyoals exst for all ad the fte varable lt. 3 The doace orderg s a partal orderg of parttos of equal weght defed by k k µ µ, k 1.

9 FROM JACK POLYNOMIALS TO MINIMAL MODEL SPECTRA 9 2 The Jack polyoals satsfy the sae projecto forulae as the syetrc ooals: γ P κ = P κ 1,..., l else 3 For ether a fte or fte uber of varables,y j, 1 y j 1/κ 1 p p y = exp κ, j 1 asκ ls 1 b κ = as 1κ ls. s 4 The or of the utually orthogoal Jack polyoals s P κ,p κ κ = s as 1κ ls asκ ls 1 = b κp κ P κ y, 3.16 a sκ l s a s 1κ l s For X C, let Ξ X : Λ C be the algebra hooorphs defed, the power su bass, by The ap Ξ X s called the specalsato ap. The, ad 1 1 X/κ = exp Ξ X p y = X l Ξ X P κ X a y = sκ l s asκ ls 1 s X κ p 3.19 = b κp κ ΞX P κ y We stress that whle ths hooorphs apples to syetrc polyoals ay varables, we wll oly be applyg t to those the y varables. 6 Let =,..., be the partto cosstg of copes of. The, γ P κ = P κ 1,..., = 1,..., = See [13] for proofs. Ared wth ths kowledge of Jack polyoals, we ca ow explctly evaluate the acto of screeg operators o Fock odules. Recall fro equatos 2.7 ad 3.8 that both UH ad Λ are polyoal algebras a fte uber of varables, C[a 1,a 2,...] = UH = Λ = C[p 1,p 2,...], 3.22 ad are therefore soorphc. For δ C, we defe the algebra soorphs ρ δ : Λ UH, 3.23 p y δa. As wth the specalsato ap, we wll oly be applyg δ to polyoals the y varables. Theore 5. For k 0, let k = k,...,k be the partto cosstg of copes of k. The, the Vrasoro hooorphss Q [] : F α, k F α, k, Q [] : F α k, F α k, 3.24

10 10 D RIDOUT AND S WOOD ap the vectors α, k ad α k, to the o-ero sgular vectors Q [] α, k = bk κ 1 ρ 2 α k y α, k, Q [] α k, = bk κ 1 ρ 2 α P κ 1 k y α k, Proof. We prove the forula for Q. The oe for Q follows slarly. The proof follows by drect evaluato usg the theory of Jack polyoals: Q [] α, k = G ;κ 1 [ ] 1 = = 2 = µ k exp p k, exp α k,ρ 2 α b µ κ 1 3 = b k κ 1 4 = b k κ 1 ρ 2 α k k exp,p κ 1 µ,p κ 1 k α p a κ 1 κ p p y κ 1 κ 1 Here we have used te 6 of Proposto 4 for 1 = to detfy ρ 2 α ρ 2 α a d 1 d α, k 1 α, k κ 1 k α, k y α, k y α, k k y α, k k = k ; 3.27 te 3 of Proposto 4 for 2 = reeberg that the tegrato the er product s over the varables; the orthogoalty of Jack polyoals for 3 =; ad te 6 of Proposto 4 to see that k P κ 1 k = 1 k κ 1 κ 1,P k = 1, 3.28 whch justfes 4 =. By drect evaluato of forula for b k κ 1 te 3 of Proposto 4, oe sees that b k κ 1 s a product of quotets of postve ratoal ubers ad s therefore o-ero. Ths theore s orgally due to Mach ad Yaada [3], though the uch spler ad strealed proof that we have preseted here frst appeared [5, Proposto 3.24]. 4. THE MINIMAL MODELS AND THEIR REPRESENTATIONS I Secto 2, we costructed the uversal Vrasoro vertex operator algebra at cetral charge c = 1 3α0 2, α 0 C, 4.1 as a vertex operator subalgebra of the Heseberg vertex operator algebra. At geerc values of the cetral charge c or equvaletly, at geerc values of α 0, the uversal Vrasoro vertex operator algebra s sple ad cotas o o-trval deals. However, there s a dscrete set of cetral charges at whch the uversal Vrasoro vertex operator algebra s ot sple. The al odel vertex operator algebras are the sple vertex operator algebras obtaed, for these cetral charges, by takg the quotets of the uversal vertex operator algebras by ther axal deals.

11 FROM JACK POLYNOMIALS TO MINIMAL MODEL SPECTRA 11 Thus, the al odel vertex operator algebras ca be realsed as subquotets of Heseberg vertex operator algebras. The al odel cetral charges, that s, the cetral charges at whch the uversal Vrasoro vertex operator algebras are o-sple, are precsely c p,p = c p,p = 1 6 p p 2 p p, 4.2 where p, p 2 are copre tegers [9]. We deote the al odel vertex operator algebra of cetral charge c p,p by M p, p. To obta these al odel cetral charges for the Heseberg algebra, we set 2p 2p α 0 = α α, α =, α =. 4.3 p p The paraeters α ± are precsely the Heseberg weghts whch, by forula 2.12, correspod to coforal weght 1. The κ ± paraeters troduced Secto 2 are thus, κ = α2 2 = p p, κ = α2 2 = p p. 4.4 The deal I p, p of the uversal Vrasoro vertex operator algebra of cetral charge cp,p s geerated by a sgular vector of coforal weght p 1p 1 [9]. By usg the screeg operator forals of Secto 2, partcular Theore 5, we ca realse ths sgular vector usg the screeg operator Q = V α or Q = V α. Wrtg Q [] ± = V α± 1 V α± d 1 d, 4.5 [ ] we deduce that the sgular vector F 0 whch geerates the deal of the uversal Vrasoro vertex operator algebra, sttg sde the Heseberg vertex operator algebra, s gve by Q [p 1] 1 p α = bp 1 p 1 κ 1 ρ 2 α Q [p 1] 1 p α = bp 1 p 1 κ 1 ρ 2 α p 1 p 1 P κ 1 p 1 p 1 y 0, y 0. The above equatos are obtaed drectly fro Theore 5, the frst by choosg = p 1, k = 1 p ad the secod by choosg = p 1, k = 1 p. For a gve coforal weght, the Vrasoro sgular vectors of a Fock odule are uque up to rescalg [14], f they exst, so the two vectors 4.6 are proportoal to each other. As a fal deostrato of the power of cobg the screeg operator ad syetrc polyoal foralss, we wll classfy the represetatos of the al odel vertex operator algebras. Sce the uversal Vrasoro vertex operator algebras are subalgebras of the Heseberg vertex operator algebras, the Fock odules F µ are represetatos of the uversal Vrasoro vertex operator algebras for ay µ C. However, the Vrasoro represetato geerated fro µ ca oly be a represetato of M p, p f each feld correspodg to a vector the deal I p, p acts trvally. Moreover, ay rreducble hghest weght represetato of M p, p ust be realsable as a subquotet of a Fock odule as, for ay coforal weght, there exsts a Fock odule whose geeratg vector has that coforal weght, by Theore 6. Let h r,s = rp sp 2 p p 2 4p p. 4.7 Up to soorphs, there are exactly 1 2 p 1p 1 equvalet rreducble M p, p represetatos. They are gve by the rreducble represetatos of the Vrasoro algebra geerated by hghest weght vectors of

12 12 D RIDOUT AND S WOOD coforal weght h r,s, 1 r p 1, 1 s p 1, rp sp p p. 4.8 Proof. We oly prove that the above lst of rreducble represetatos of the Vrasoro algebra s a upper boud o the set of equvalet rreducble M p, p represetatos. I order to show that the lst s saturated, oe ca the ether costruct all these represetatos by, for exaple, the coset costructo [15, 16], by quatu haltoa reducto [17], or use Zhu s algebra [4, 8], ths beg the assocatve algebra of ero odes of the felds of the vertex operator algebra actg o hghest weght vectors. Cosder the sgular vector [p χ = Q 1] 1 p α F0 4.9 of equato 4.6. The correspodg feld s obtaed by tegratg p 1 vertex operators V α over [ p 1] about the vertex operator V 1 p α, wth [ p 1] cetred about the arguet of V 1 p α : χw = Q 1 w Q p 1 wv 1 p α wd 1 d p [ p 1] The vector χ s a eleet of the deal I p, p, so the feld χw ust therefore act trvally o ay M p, p represetato. Cosequetly, µ χw µ = 0, 4.11 where µ s the hghest weght vector of F µ ad µ ts dual whch satsfes µ µ = 1, µ a = µ δ,0 µ, We ca evaluate µ χw µ usg the theory of Jack polyoals. Applyg forula 2.26 to splfy the coposto of vertex operators the defto of χw, we see that Q 1 w Q p 1 wv 1 p α w = G p 1;κ 1 p 1 a exp α exp α a w α a0 w 1 p α a 0 p 1 w,..., p 1 w 1 p w p 1 w,..., p 1 w 1 p w The expoetals of Heseberg geerators a, 0, 4.13 ahlate µ ad µ. Thus, µ χw µ = µ Q 1 w Q p 1 wv 1 p α w µ d1 d p 1 [ p 1] = G p 1;κ 1 p 1 [ p 1] = G p 1;κ 1 p 1 [ p 1] = p 1 p 1 p 1, 1 p p 1 p 1 1 w α µ w α µ w 1 p α µ d 1 p 1 1 p 1 p 1 κ 1 p 1 = w p 1p 1 b p 1 p 1 κ 1 Ξ α µ = w p 1p 1 s p 1 p 1 1 α µ d 1 d p 1 w 1 p 1 p 1 p 1 α µ a s/κ l s as 1/κ ls y

13 FROM JACK POLYNOMIALS TO MINIMAL MODEL SPECTRA 13 = w p 1p 1 p 1 p 1 α µ j 1/κ 1 j=1 p j/κ p 1, 4.14 where we have evaluated the er product usg te 5 of Proposto 4. Clearly, the deoator of the above product s o-sgular, sce κ = p /p s a postve ratoal uber. Therefore, µ χw µ = 0 wheever 0 = p 1 p 1 α µ j 1/κ 1 = C j=1 p 1 where C s a o-ero costat. We group the, j-factor wth the p, p j-factor: Thus, p 1 µ α, j, 4.15 j=1 µ α, j µ α p,p j = 2hµ 2h, j µ χw µ = 0 h µ h r,s = 0, 4.17 r,s where the dex r,s rus over all 1 r p 1 ad 1 s p 1, wth rp sp < p p. The above costrats ply that the coforal hghest weght of a M p, p represetato ust be a root of the polyoal f h = h h r,s, 4.18 r,s that s, t ust be equal to h r,s for soe 1 r p 1 ad 1 s p 1, wth rp sp < p p. Showg that the represetato theory of M p, p s copletely reducble ad that t ca be used to costruct ratoal coforal feld theores requres oly a lttle ore work. The Vrasoro Vera odule of coforal weght h r,s, where 1 r p 1 ad 1 s p 1, cotas a axal subrepresetato geerated by two depedet sgular vectors of coforal weghts h = h r,s rs ad h = h r,s p rp s [9]. However, ether h or h are roots of So the M p, p represetato of coforal weght hr,s ust be soorphc to the rreducble quotet of thevrasoro Vera odule of coforal weght h r,s. Ths also ples that there exsts o o-trval extesos betwee rreducble represetatos wth dstct coforal weghts. I [18, Prop. 7.5], t was show that the rreducble Vrasoro represetato of coforal weght h r,s adts o self extesos as represetatos of the Vrasoro algebra. Thus, ether do the rreducble M p, p represetatos. Ths proves that rreducble M p, p represetatos do ot adt ay o-trval extesos ad that therefore the represetato theory of M p, p s copletely reducble. Corollary 7. The Vrasoro al odel vertex operator algebras are ratoal, that s, they adt oly a fte uber of equvalet rreducble represetatos ad all represetatos are copletely reducble. REFERENCES [1] L Alday, D Gaotto ad Y Tachkawa. Louvlle correlato fuctos fro four-desoal gauge theores. Lett. Math. Phys., 91: , [2] A Moroov ad A Srov. Falg the proof of AGT relatos wth the help of the geeraled Jack polyoals. Lett. Math. Phys., 104: , [3] K Mach ad Y Yaada. Sgular vectors of the Vrasoro algebra ters of Jack syetrc polyoals. Co. Math. Phys., 174: , [4] W Wag. Ratoalty of Vrasoro vertex operator algebras. It. Math. Res. Not., 7: , [5] A Tsuchya ad S Wood. O the exteded W-algebra of type sl 2 at postve ratoal level. It. Math. Res. Not. to appear, arxv: [hep-th]. [6] D Rdout ad S Wood. I preparato. [7] B Feg, T Nakash, ad H Oogur. The ahlatg deals of al odels. It. J. Mod. Phys., A7S1A: , [8] Y Zhu. Modular varace of characters of vertex operator algebras. J. Aer. Math. Soc., 9: , [9] B Feg ad D Fuchs. Represetatos of the Vrasoro algebra. Adv. Stud. Cotep. Math., 7: , [10] K Iohara ad Y Koga. Represetato theory of the Vrasoro algebra. Sprger Moographs Matheatcs. Sprger-Verlag, Lodo, 2011.

14 14 D RIDOUT AND S WOOD [11] V Dotseko ad V Fateev. Coforal algebra ad ultpot correlato fuctos 2D statstcal odels. Nucl. Phys. B, 240: , [12] A Tsuchya ad Y Kae. Fock space represetatos of the Vrasoro algebra tertwg operators. Publ. Res. Ist. Math. Sc, 22: , [13] I Macdoald. Syetrc fuctos ad Hall polyoals. Oxford Uversty Press, New York, [14] A Astashkevch. O the structure of Vera odules over Vrasoro ad Neveu-Schwar algebras. Co. Math. Phys., 186: , arxv:hep-th/ [15] P Goddard, A Ket, ad D Olve. Vrasoro algebras ad coset space odels. Phys. Lett. B, 152:88 92, [16] V Kac ad M Wakoto. Modular varat represetatos of fte-desoal Le algebras ad superalgebras. Proc. Natl. Acad. Sc. USA, 85: , [17] B Feg ad E Frekel. Quatato of the Drfeld-Sokolov reducto. Phys. Lett. B, 246:75 81, [18] K Kytölä ad D Rdout. O staggered decoposable Vrasoro odules. J. Math. Phys., 50:123503, arxv: [ath-ph]. Davd Rdout DEPARTMENT OF THEORETICAL PHYSICS, RESEARCH SCHOOL OF PHYSICS AND ENGINEERING; AND MATHEMATI- CAL SCIENCES INSTITUTE; AUSTRALIAN NATIONAL UNIVERSITY, ACTON, ACT 2600, AUSTRALIA E-al address: davd.rdout@au.edu.au So Wood DEPARTMENT OF THEORETICAL PHYSICS, RESEARCH SCHOOL OF PHYSICS AND ENGINEERING; AND MATHEMATI- CAL SCIENCES INSTITUTE; AUSTRALIAN NATIONAL UNIVERSITY, ACTON, ACT 2600, AUSTRALIA E-al address: so.wood@au.edu.au

Some results and conjectures about recurrence relations for certain sequences of binomial sums.

Some results and conjectures about recurrence relations for certain sequences of binomial sums. Soe results ad coectures about recurrece relatos for certa sequeces of boal sus Joha Cgler Faultät für Matheat Uverstät We A-9 We Nordbergstraße 5 Joha Cgler@uveacat Abstract I a prevous paper [] I have

More information

Some Different Perspectives on Linear Least Squares

Some Different Perspectives on Linear Least Squares Soe Dfferet Perspectves o Lear Least Squares A stadard proble statstcs s to easure a respose or depedet varable, y, at fed values of oe or ore depedet varables. Soetes there ests a deterstc odel y f (,,

More information

KURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS. Peter J. Wilcoxen. Impact Research Centre, University of Melbourne.

KURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS. Peter J. Wilcoxen. Impact Research Centre, University of Melbourne. KURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS by Peter J. Wlcoxe Ipact Research Cetre, Uversty of Melboure Aprl 1989 Ths paper descrbes a ethod that ca be used to resolve cossteces

More information

1 Onto functions and bijections Applications to Counting

1 Onto functions and bijections Applications to Counting 1 Oto fuctos ad bectos Applcatos to Coutg Now we move o to a ew topc. Defto 1.1 (Surecto. A fucto f : A B s sad to be surectve or oto f for each b B there s some a A so that f(a B. What are examples of

More information

Non-degenerate Perturbation Theory

Non-degenerate Perturbation Theory No-degeerate Perturbato Theory Proble : H E ca't solve exactly. But wth H H H' H" L H E Uperturbed egevalue proble. Ca solve exactly. E Therefore, kow ad. H ' H" called perturbatos Copyrght Mchael D. Fayer,

More information

A Characterization of Jacobson Radical in Γ-Banach Algebras

A Characterization of Jacobson Radical in Γ-Banach Algebras Advaces Pure Matheatcs 43-48 http://dxdoorg/436/ap66 Publshed Ole Noveber (http://wwwscrporg/joural/ap) A Characterzato of Jacobso Radcal Γ-Baach Algebras Nlash Goswa Departet of Matheatcs Gauhat Uversty

More information

2/20/2013. Topics. Power Flow Part 1 Text: Power Transmission. Power Transmission. Power Transmission. Power Transmission

2/20/2013. Topics. Power Flow Part 1 Text: Power Transmission. Power Transmission. Power Transmission. Power Transmission /0/0 Topcs Power Flow Part Text: 0-0. Power Trassso Revsted Power Flow Equatos Power Flow Proble Stateet ECEGR 45 Power Systes Power Trassso Power Trassso Recall that for a short trassso le, the power

More information

CHAPTER 4 RADICAL EXPRESSIONS

CHAPTER 4 RADICAL EXPRESSIONS 6 CHAPTER RADICAL EXPRESSIONS. The th Root of a Real Number A real umber a s called the th root of a real umber b f Thus, for example: s a square root of sce. s also a square root of sce ( ). s a cube

More information

LECTURES ON REPRESENTATION THEORY AND INVARIANT THEORY

LECTURES ON REPRESENTATION THEORY AND INVARIANT THEORY LECTUES ON EPESENTATION THEOY AND INVAIANT THEOY These are the otes for a lecture course o the syetrc group, the geeral lear group ad varat theory. The a of the course was to cover as uch of the beautful

More information

A New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming

A New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming ppled Matheatcal Sceces Vol 008 o 50 7-80 New Method for Solvg Fuzzy Lear Prograg by Solvg Lear Prograg S H Nasser a Departet of Matheatcs Faculty of Basc Sceces Mazadara Uversty Babolsar Ira b The Research

More information

18.413: Error Correcting Codes Lab March 2, Lecture 8

18.413: Error Correcting Codes Lab March 2, Lecture 8 18.413: Error Correctg Codes Lab March 2, 2004 Lecturer: Dael A. Spelma Lecture 8 8.1 Vector Spaces A set C {0, 1} s a vector space f for x all C ad y C, x + y C, where we take addto to be compoet wse

More information

Assignment 5/MATH 247/Winter Due: Friday, February 19 in class (!) (answers will be posted right after class)

Assignment 5/MATH 247/Winter Due: Friday, February 19 in class (!) (answers will be posted right after class) Assgmet 5/MATH 7/Wter 00 Due: Frday, February 9 class (!) (aswers wll be posted rght after class) As usual, there are peces of text, before the questos [], [], themselves. Recall: For the quadratc form

More information

Chapter 9 Jordan Block Matrices

Chapter 9 Jordan Block Matrices Chapter 9 Jorda Block atrces I ths chapter we wll solve the followg problem. Gve a lear operator T fd a bass R of F such that the matrx R (T) s as smple as possble. f course smple s a matter of taste.

More information

MATH 247/Winter Notes on the adjoint and on normal operators.

MATH 247/Winter Notes on the adjoint and on normal operators. MATH 47/Wter 00 Notes o the adjot ad o ormal operators I these otes, V s a fte dmesoal er product space over, wth gve er * product uv, T, S, T, are lear operators o V U, W are subspaces of V Whe we say

More information

Lecture 3 Probability review (cont d)

Lecture 3 Probability review (cont d) STATS 00: Itroducto to Statstcal Iferece Autum 06 Lecture 3 Probablty revew (cot d) 3. Jot dstrbutos If radom varables X,..., X k are depedet, the ther dstrbuto may be specfed by specfyg the dvdual dstrbuto

More information

The Mathematics of Portfolio Theory

The Mathematics of Portfolio Theory The Matheatcs of Portfolo Theory The rates of retur of stocks, ad are as follows Market odtos state / scearo) earsh Neutral ullsh Probablty 0. 0.5 0.3 % 5% 9% -3% 3% % 5% % -% Notato: R The retur of stock

More information

PROJECTION PROBLEM FOR REGULAR POLYGONS

PROJECTION PROBLEM FOR REGULAR POLYGONS Joural of Mathematcal Sceces: Advaces ad Applcatos Volume, Number, 008, Pages 95-50 PROJECTION PROBLEM FOR REGULAR POLYGONS College of Scece Bejg Forestry Uversty Bejg 0008 P. R. Cha e-mal: sl@bjfu.edu.c

More information

arxiv:math/ v1 [math.gm] 8 Dec 2005

arxiv:math/ v1 [math.gm] 8 Dec 2005 arxv:math/05272v [math.gm] 8 Dec 2005 A GENERALIZATION OF AN INEQUALITY FROM IMO 2005 NIKOLAI NIKOLOV The preset paper was spred by the thrd problem from the IMO 2005. A specal award was gve to Yure Boreko

More information

Coherent Potential Approximation

Coherent Potential Approximation Coheret Potetal Approxato Noveber 29, 2009 Gree-fucto atrces the TB forals I the tght bdg TB pcture the atrx of a Haltoa H s the for H = { H j}, where H j = δ j ε + γ j. 2 Sgle ad double uderles deote

More information

Functions of Random Variables

Functions of Random Variables Fuctos of Radom Varables Chapter Fve Fuctos of Radom Varables 5. Itroducto A geeral egeerg aalyss model s show Fg. 5.. The model output (respose) cotas the performaces of a system or product, such as weght,

More information

PRACTICAL CONSIDERATIONS IN HUMAN-INDUCED VIBRATION

PRACTICAL CONSIDERATIONS IN HUMAN-INDUCED VIBRATION PRACTICAL CONSIDERATIONS IN HUMAN-INDUCED VIBRATION Bars Erkus, 4 March 007 Itroducto Ths docuet provdes a revew of fudaetal cocepts structural dyacs ad soe applcatos hua-duced vbrato aalyss ad tgato of

More information

7.0 Equality Contraints: Lagrange Multipliers

7.0 Equality Contraints: Lagrange Multipliers Systes Optzato 7.0 Equalty Cotrats: Lagrage Multplers Cosder the zato of a o-lear fucto subject to equalty costrats: g f() R ( ) 0 ( ) (7.) where the g ( ) are possbly also olear fuctos, ad < otherwse

More information

SUBCLASS OF HARMONIC UNIVALENT FUNCTIONS ASSOCIATED WITH SALAGEAN DERIVATIVE. Sayali S. Joshi

SUBCLASS OF HARMONIC UNIVALENT FUNCTIONS ASSOCIATED WITH SALAGEAN DERIVATIVE. Sayali S. Joshi Faculty of Sceces ad Matheatcs, Uversty of Nš, Serba Avalable at: http://wwwpfacyu/float Float 3:3 (009), 303 309 DOI:098/FIL0903303J SUBCLASS OF ARMONIC UNIVALENT FUNCTIONS ASSOCIATED WIT SALAGEAN DERIVATIVE

More information

CS286.2 Lecture 4: Dinur s Proof of the PCP Theorem

CS286.2 Lecture 4: Dinur s Proof of the PCP Theorem CS86. Lecture 4: Dur s Proof of the PCP Theorem Scrbe: Thom Bohdaowcz Prevously, we have prove a weak verso of the PCP theorem: NP PCP 1,1/ (r = poly, q = O(1)). Wth ths result we have the desred costat

More information

Algorithms behind the Correlation Setting Window

Algorithms behind the Correlation Setting Window Algorths behd the Correlato Settg Wdow Itroducto I ths report detaled forato about the correlato settg pop up wdow s gve. See Fgure. Ths wdow s obtaed b clckg o the rado butto labelled Kow dep the a scree

More information

Investigating Cellular Automata

Investigating Cellular Automata Researcher: Taylor Dupuy Advsor: Aaro Wootto Semester: Fall 4 Ivestgatg Cellular Automata A Overvew of Cellular Automata: Cellular Automata are smple computer programs that geerate rows of black ad whte

More information

Knots, Skein Theory and q-series

Knots, Skein Theory and q-series Lousaa State Uversty LSU Dgtal Coos LSU Doctoral Dssertatos Graduate School 205 Kots, Se Theory ad q-seres Mustafa Hajj Lousaa State Uversty ad Agrcultural ad Mechacal College, ustafahajj@galco Follow

More information

Baxter Algebras and the Umbral Calculus

Baxter Algebras and the Umbral Calculus Baxter Algebras ad the Ubral Calculus arxv:ath/0407159v1 [ath.ra] 9 Jul 2004 L Guo Departet of Matheatcs ad Coputer Scece Rutgers Uversty at Newar Abstract We apply Baxter algebras to the study of the

More information

A Conventional Approach for the Solution of the Fifth Order Boundary Value Problems Using Sixth Degree Spline Functions

A Conventional Approach for the Solution of the Fifth Order Boundary Value Problems Using Sixth Degree Spline Functions Appled Matheatcs, 1, 4, 8-88 http://d.do.org/1.4/a.1.448 Publshed Ole Aprl 1 (http://www.scrp.org/joural/a) A Covetoal Approach for the Soluto of the Ffth Order Boudary Value Probles Usg Sth Degree Sple

More information

Ideal multigrades with trigonometric coefficients

Ideal multigrades with trigonometric coefficients Ideal multgrades wth trgoometrc coeffcets Zarathustra Brady December 13, 010 1 The problem A (, k) multgrade s defed as a par of dstct sets of tegers such that (a 1,..., a ; b 1,..., b ) a j = =1 for all

More information

Chapter 4 Multiple Random Variables

Chapter 4 Multiple Random Variables Revew for the prevous lecture: Theorems ad Examples: How to obta the pmf (pdf) of U = g (, Y) ad V = g (, Y) Chapter 4 Multple Radom Varables Chapter 44 Herarchcal Models ad Mxture Dstrbutos Examples:

More information

The theoretical background of

The theoretical background of he theoretcal backgroud of -echologes he theoretcal backgroud of FactSage he followg sldes gve a abrdged overvew of the ajor uderlyg prcples of the calculatoal odules of FactSage. -echologes he bbs Eergy

More information

Chapter 5 Properties of a Random Sample

Chapter 5 Properties of a Random Sample Lecture 6 o BST 63: Statstcal Theory I Ku Zhag, /0/008 Revew for the prevous lecture Cocepts: t-dstrbuto, F-dstrbuto Theorems: Dstrbutos of sample mea ad sample varace, relatoshp betwee sample mea ad sample

More information

Journal of Mathematical Analysis and Applications

Journal of Mathematical Analysis and Applications J. Math. Aal. Appl. 365 200) 358 362 Cotets lsts avalable at SceceDrect Joural of Mathematcal Aalyss ad Applcatos www.elsever.com/locate/maa Asymptotc behavor of termedate pots the dfferetal mea value

More information

Polyphase Filters. Section 12.4 Porat

Polyphase Filters. Section 12.4 Porat Polyphase Flters Secto.4 Porat .4 Polyphase Flters Polyphase s a way of dog saplg-rate coverso that leads to very effcet pleetatos. But ore tha that, t leads to very geeral vewpots that are useful buldg

More information

The Primitive Idempotents in

The Primitive Idempotents in Iteratoal Joural of Algebra, Vol, 00, o 5, 3 - The Prmtve Idempotets FC - I Kulvr gh Departmet of Mathematcs, H College r Jwa Nagar (rsa)-5075, Ida kulvrsheora@yahoocom K Arora Departmet of Mathematcs,

More information

{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution:

{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution: Chapter 4 Exercses Samplg Theory Exercse (Smple radom samplg: Let there be two correlated radom varables X ad A sample of sze s draw from a populato by smple radom samplg wthout replacemet The observed

More information

THE COMPLETE ENUMERATION OF FINITE GROUPS OF THE FORM R 2 i ={R i R j ) k -i=i

THE COMPLETE ENUMERATION OF FINITE GROUPS OF THE FORM R 2 i ={R i R j ) k -i=i ENUMERATON OF FNTE GROUPS OF THE FORM R ( 2 = (RfR^'u =1. 21 THE COMPLETE ENUMERATON OF FNTE GROUPS OF THE FORM R 2 ={R R j ) k -= H. S. M. COXETER*. ths paper, we vestgate the abstract group defed by

More information

Interval extension of Bézier curve

Interval extension of Bézier curve WSEAS TRANSACTIONS o SIGNAL ROCESSING Jucheg L Iterval exteso of Bézer curve JUNCHENG LI Departet of Matheatcs Hua Uversty of Huates Scece ad Techology Dxg Road Loud cty Hua rovce 47 R CHINA E-al: ljucheg8@6co

More information

Review Exam I Complex Analysis. Cauchy s Integral Formula (#0). Let G be a region in C, let Bar (, ) G and let γ be the circle C(a,r), oriented.

Review Exam I Complex Analysis. Cauchy s Integral Formula (#0). Let G be a region in C, let Bar (, ) G and let γ be the circle C(a,r), oriented. Revew Exa I Coplex Aalyss Uderled Deftos: May be ased for o exa Uderled Propostos or Theores: Proofs ay be ased for o exa Cauchy s Itegral Forula (#) Let G be a rego C, let Bar (, ) G ad let be the crcle

More information

Lecture 07: Poles and Zeros

Lecture 07: Poles and Zeros Lecture 07: Poles ad Zeros Defto of poles ad zeros The trasfer fucto provdes a bass for determg mportat system respose characterstcs wthout solvg the complete dfferetal equato. As defed, the trasfer fucto

More information

( t) ( t) ( t) ρ ψ ψ. (9.1)

( t) ( t) ( t) ρ ψ ψ. (9.1) Adre Toaoff, MT Departet of Cestry, 3/19/29 p. 9-1 9. THE DENSTY MATRX Te desty atrx or desty operator s a alterate represetato of te state of a quatu syste for wc we ave prevously used te wavefucto. Altoug

More information

Maps on Triangular Matrix Algebras

Maps on Triangular Matrix Algebras Maps o ragular Matrx lgebras HMED RMZI SOUROUR Departmet of Mathematcs ad Statstcs Uversty of Vctora Vctora, BC V8W 3P4 CND sourour@mathuvcca bstract We surveys results about somorphsms, Jorda somorphsms,

More information

Mu Sequences/Series Solutions National Convention 2014

Mu Sequences/Series Solutions National Convention 2014 Mu Sequeces/Seres Solutos Natoal Coveto 04 C 6 E A 6C A 6 B B 7 A D 7 D C 7 A B 8 A B 8 A C 8 E 4 B 9 B 4 E 9 B 4 C 9 E C 0 A A 0 D B 0 C C Usg basc propertes of arthmetc sequeces, we fd a ad bm m We eed

More information

Relations to Other Statistical Methods Statistical Data Analysis with Positive Definite Kernels

Relations to Other Statistical Methods Statistical Data Analysis with Positive Definite Kernels Relatos to Other Statstcal Methods Statstcal Data Aalyss wth Postve Defte Kerels Kej Fukuzu Isttute of Statstcal Matheatcs, ROIS Departet of Statstcal Scece, Graduate Uversty for Advaced Studes October

More information

Rademacher Complexity. Examples

Rademacher Complexity. Examples Algorthmc Foudatos of Learg Lecture 3 Rademacher Complexty. Examples Lecturer: Patrck Rebesch Verso: October 16th 018 3.1 Itroducto I the last lecture we troduced the oto of Rademacher complexty ad showed

More information

Lecture 9: Tolerant Testing

Lecture 9: Tolerant Testing Lecture 9: Tolerat Testg Dael Kae Scrbe: Sakeerth Rao Aprl 4, 07 Abstract I ths lecture we prove a quas lear lower boud o the umber of samples eeded to do tolerat testg for L dstace. Tolerat Testg We have

More information

Entropy ISSN by MDPI

Entropy ISSN by MDPI Etropy 2003, 5, 233-238 Etropy ISSN 1099-4300 2003 by MDPI www.mdp.org/etropy O the Measure Etropy of Addtve Cellular Automata Hasa Aı Arts ad Sceces Faculty, Departmet of Mathematcs, Harra Uversty; 63100,

More information

MA 524 Homework 6 Solutions

MA 524 Homework 6 Solutions MA 524 Homework 6 Solutos. Sce S(, s the umber of ways to partto [] to k oempty blocks, ad c(, s the umber of ways to partto to k oempty blocks ad also the arrage each block to a cycle, we must have S(,

More information

Exercises for Square-Congruence Modulo n ver 11

Exercises for Square-Congruence Modulo n ver 11 Exercses for Square-Cogruece Modulo ver Let ad ab,.. Mark True or False. a. 3S 30 b. 3S 90 c. 3S 3 d. 3S 4 e. 4S f. 5S g. 0S 55 h. 8S 57. 9S 58 j. S 76 k. 6S 304 l. 47S 5347. Fd the equvalece classes duced

More information

Neville Robbins Mathematics Department, San Francisco State University, San Francisco, CA (Submitted August 2002-Final Revision December 2002)

Neville Robbins Mathematics Department, San Francisco State University, San Francisco, CA (Submitted August 2002-Final Revision December 2002) Nevlle Robbs Mathematcs Departmet, Sa Fracsco State Uversty, Sa Fracsco, CA 943 (Submtted August -Fal Revso December ) INTRODUCTION The Lucas tragle s a fte tragular array of atural umbers that s a varat

More information

L5 Polynomial / Spline Curves

L5 Polynomial / Spline Curves L5 Polyomal / Sple Curves Cotets Coc sectos Polyomal Curves Hermte Curves Bezer Curves B-Sples No-Uform Ratoal B-Sples (NURBS) Mapulato ad Represetato of Curves Types of Curve Equatos Implct: Descrbe a

More information

Summary of the lecture in Biostatistics

Summary of the lecture in Biostatistics Summary of the lecture Bostatstcs Probablty Desty Fucto For a cotuos radom varable, a probablty desty fucto s a fucto such that: 0 dx a b) b a dx A probablty desty fucto provdes a smple descrpto of the

More information

ρ < 1 be five real numbers. The

ρ < 1 be five real numbers. The Lecture o BST 63: Statstcal Theory I Ku Zhag, /0/006 Revew for the prevous lecture Deftos: covarace, correlato Examples: How to calculate covarace ad correlato Theorems: propertes of correlato ad covarace

More information

Vertex Operator Algebras and Associative Algebras

Vertex Operator Algebras and Associative Algebras JOURNAL OF ALGEBRA 6, 6796 998 ARTICLE NO. JA98745 Vertex Operator Algebras ad Assocatve Algebras Chogyg Dog* Departet of Matheatcs, Uersty of Calfora, Sata Cru, Calfora 9564 E-al: dog@cats.ucsc.edu Hasheg

More information

Solutions to problem set ); (, ) (

Solutions to problem set ); (, ) ( Solutos to proble set.. L = ( yp p ); L = ( p p ); y y L, L = yp p, p p = yp p, + p [, p ] y y y = yp + p = L y Here we use for eaple that yp, p = yp p p yp = yp, p = yp : factors that coute ca be treated

More information

1 Lyapunov Stability Theory

1 Lyapunov Stability Theory Lyapuov Stablty heory I ths secto we cosder proofs of stablty of equlbra of autoomous systems. hs s stadard theory for olear systems, ad oe of the most mportat tools the aalyss of olear systems. It may

More information

TESTS BASED ON MAXIMUM LIKELIHOOD

TESTS BASED ON MAXIMUM LIKELIHOOD ESE 5 Toy E. Smth. The Basc Example. TESTS BASED ON MAXIMUM LIKELIHOOD To llustrate the propertes of maxmum lkelhood estmates ad tests, we cosder the smplest possble case of estmatg the mea of the ormal

More information

Part 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971))

Part 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971)) art 4b Asymptotc Results for MRR usg RESS Recall that the RESS statstc s a specal type of cross valdato procedure (see Alle (97)) partcular to the regresso problem ad volves fdg Y $,, the estmate at the

More information

CS5620 Intro to Computer Graphics

CS5620 Intro to Computer Graphics CS56 Itro to Computer Graphcs Geometrc Modelg art II Geometrc Modelg II hyscal Sples Curve desg pre-computers Cubc Sples Stadard sple put set of pots { } =, No dervatves specfed as put Iterpolate by cubc

More information

CIS 800/002 The Algorithmic Foundations of Data Privacy October 13, Lecture 9. Database Update Algorithms: Multiplicative Weights

CIS 800/002 The Algorithmic Foundations of Data Privacy October 13, Lecture 9. Database Update Algorithms: Multiplicative Weights CIS 800/002 The Algorthmc Foudatos of Data Prvacy October 13, 2011 Lecturer: Aaro Roth Lecture 9 Scrbe: Aaro Roth Database Update Algorthms: Multplcatve Weghts We ll recall aga) some deftos from last tme:

More information

On Hilbert Kunz Functions of Some Hypersurfaces

On Hilbert Kunz Functions of Some Hypersurfaces JOURNAL OF ALGEBRA 199, 499527 1998 ARTICLE NO. JA977206 O HlbertKuz Fuctos of Soe Hypersurfaces L Chag* Departet of Matheatcs, Natoal Tawa Uersty, Tape, Tawa ad Yu-Chg Hug Departet of Matheatcs, Natoal

More information

On Convergence a Variation of the Converse of Fabry Gap Theorem

On Convergence a Variation of the Converse of Fabry Gap Theorem Scece Joural of Appled Matheatcs ad Statstcs 05; 3(): 58-6 Pulshed ole Aprl 05 (http://www.scecepulshggroup.co//sas) do: 0.648/.sas.05030.5 ISSN: 376-949 (Prt); ISSN: 376-953 (Ole) O Covergece a Varato

More information

A Study on Generalized Generalized Quasi hyperbolic Kac Moody algebra QHGGH of rank 10

A Study on Generalized Generalized Quasi hyperbolic Kac Moody algebra QHGGH of rank 10 Global Joural of Mathematcal Sceces: Theory ad Practcal. ISSN 974-3 Volume 9, Number 3 (7), pp. 43-4 Iteratoal Research Publcato House http://www.rphouse.com A Study o Geeralzed Geeralzed Quas (9) hyperbolc

More information

Lecture 8. A little bit of fun math Read: Chapter 7 (and 8) Finite Algebraic Structures

Lecture 8. A little bit of fun math Read: Chapter 7 (and 8) Finite Algebraic Structures Lecture 8 A lttle bt of fu ath Read: Chapter 7 (ad 8) Fte Algebrac Structures Groups Abela Cyclc Geerator Group order Rgs Felds Subgroups Euclda Algorth CRT (Chese Reader Theore) 2 GROUPs DEFINITION: A

More information

Investigation of Partially Conditional RP Model with Response Error. Ed Stanek

Investigation of Partially Conditional RP Model with Response Error. Ed Stanek Partally Codtoal Radom Permutato Model 7- vestgato of Partally Codtoal RP Model wth Respose Error TRODUCTO Ed Staek We explore the predctor that wll result a smple radom sample wth respose error whe a

More information

AN UPPER BOUND FOR THE PERMANENT VERSUS DETERMINANT PROBLEM BRUNO GRENET

AN UPPER BOUND FOR THE PERMANENT VERSUS DETERMINANT PROBLEM BRUNO GRENET AN UPPER BOUND FOR THE PERMANENT VERSUS DETERMINANT PROBLEM BRUNO GRENET Abstract. The Permaet versus Determat problem s the followg: Gve a matrx X of determates over a feld of characterstc dfferet from

More information

On Submanifolds of an Almost r-paracontact Riemannian Manifold Endowed with a Quarter Symmetric Metric Connection

On Submanifolds of an Almost r-paracontact Riemannian Manifold Endowed with a Quarter Symmetric Metric Connection Theoretcal Mathematcs & Applcatos vol. 4 o. 4 04-7 ISS: 79-9687 prt 79-9709 ole Scepress Ltd 04 O Submafolds of a Almost r-paracotact emaa Mafold Edowed wth a Quarter Symmetrc Metrc Coecto Mob Ahmad Abdullah.

More information

Class 13,14 June 17, 19, 2015

Class 13,14 June 17, 19, 2015 Class 3,4 Jue 7, 9, 05 Pla for Class3,4:. Samplg dstrbuto of sample mea. The Cetral Lmt Theorem (CLT). Cofdece terval for ukow mea.. Samplg Dstrbuto for Sample mea. Methods used are based o CLT ( Cetral

More information

A CHARACTERIZATION OF THE CLIFFORD TORUS

A CHARACTERIZATION OF THE CLIFFORD TORUS PROCEEDINGS OF THE AERICAN ATHEATICAL SOCIETY Volue 17, Nuber 3, arch 1999, Pages 819 88 S 000-9939(99)05088-1 A CHARACTERIZATION OF THE CLIFFORD TORUS QING-ING CHENG AND SUSUU ISHIKAWA (Coucated by Chrstopher

More information

A tighter lower bound on the circuit size of the hardest Boolean functions

A tighter lower bound on the circuit size of the hardest Boolean functions Electroc Colloquum o Computatoal Complexty, Report No. 86 2011) A tghter lower boud o the crcut sze of the hardest Boolea fuctos Masak Yamamoto Abstract I [IPL2005], Fradse ad Mlterse mproved bouds o the

More information

arxiv:math/ v2 [math.co] 2 Feb 1999

arxiv:math/ v2 [math.co] 2 Feb 1999 arxv:ath/990200v2 [ath.co] 2 Feb 999 LONGEST INCREASING SUBSEQUENCES OF RANDOM COLORED PERMUTATIONS Alexe Borod Abstract. We copute the lt dstrbuto for cetered ad scaled) legth of the logest creasg subsequece

More information

Factorization of Finite Abelian Groups

Factorization of Finite Abelian Groups Iteratoal Joural of Algebra, Vol 6, 0, o 3, 0-07 Factorzato of Fte Abela Grous Khald Am Uversty of Bahra Deartmet of Mathematcs PO Box 3038 Sakhr, Bahra kamee@uobedubh Abstract If G s a fte abela grou

More information

Unit 9. The Tangent Bundle

Unit 9. The Tangent Bundle Ut 9. The Taget Budle ========================================================================================== ---------- The taget sace of a submafold of R, detfcato of taget vectors wth dervatos at

More information

5 Short Proofs of Simplified Stirling s Approximation

5 Short Proofs of Simplified Stirling s Approximation 5 Short Proofs of Smplfed Strlg s Approxmato Ofr Gorodetsky, drtymaths.wordpress.com Jue, 20 0 Itroducto Strlg s approxmato s the followg (somewhat surprsg) approxmato of the factoral,, usg elemetary fuctos:

More information

Dimensionality Reduction and Learning

Dimensionality Reduction and Learning CMSC 35900 (Sprg 009) Large Scale Learg Lecture: 3 Dmesoalty Reducto ad Learg Istructors: Sham Kakade ad Greg Shakharovch L Supervsed Methods ad Dmesoalty Reducto The theme of these two lectures s that

More information

Bounds on the expected entropy and KL-divergence of sampled multinomial distributions. Brandon C. Roy

Bounds on the expected entropy and KL-divergence of sampled multinomial distributions. Brandon C. Roy Bouds o the expected etropy ad KL-dvergece of sampled multomal dstrbutos Brado C. Roy bcroy@meda.mt.edu Orgal: May 18, 2011 Revsed: Jue 6, 2011 Abstract Iformato theoretc quattes calculated from a sampled

More information

Chapter 3 Sampling For Proportions and Percentages

Chapter 3 Sampling For Proportions and Percentages Chapter 3 Samplg For Proportos ad Percetages I may stuatos, the characterstc uder study o whch the observatos are collected are qualtatve ature For example, the resposes of customers may marketg surveys

More information

Cubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem

Cubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem Joural of Amerca Scece ;6( Cubc Nopolyomal Sple Approach to the Soluto of a Secod Order Two-Pot Boudary Value Problem W.K. Zahra, F.A. Abd El-Salam, A.A. El-Sabbagh ad Z.A. ZAk * Departmet of Egeerg athematcs

More information

h-analogue of Fibonacci Numbers

h-analogue of Fibonacci Numbers h-aalogue of Fboacc Numbers arxv:090.0038v [math-ph 30 Sep 009 H.B. Beaoum Prce Mohammad Uversty, Al-Khobar 395, Saud Araba Abstract I ths paper, we troduce the h-aalogue of Fboacc umbers for o-commutatve

More information

arxiv: v1 [math.qa] 19 Mar 2010

arxiv: v1 [math.qa] 19 Mar 2010 THE QUANTUM CASIMIR OPERATORS OF U q (gl ) AND THEIR EIGENVALUES arxv:10033729v1 [mathqa] 19 Mar 2010 JUNBO LI ABSTRACT We show that the quatum Casmr operators of the quatum lear group costructed early

More information

X ε ) = 0, or equivalently, lim

X ε ) = 0, or equivalently, lim Revew for the prevous lecture Cocepts: order statstcs Theorems: Dstrbutos of order statstcs Examples: How to get the dstrbuto of order statstcs Chapter 5 Propertes of a Radom Sample Secto 55 Covergece

More information

LINEAR RECURRENT SEQUENCES AND POWERS OF A SQUARE MATRIX

LINEAR RECURRENT SEQUENCES AND POWERS OF A SQUARE MATRIX INTEGERS: ELECTRONIC JOURNAL OF COMBINATORIAL NUMBER THEORY 6 2006, #A12 LINEAR RECURRENT SEQUENCES AND POWERS OF A SQUARE MATRIX Hacèe Belbachr 1 USTHB, Departmet of Mathematcs, POBox 32 El Ala, 16111,

More information

Debabrata Dey and Atanu Lahiri

Debabrata Dey and Atanu Lahiri RESEARCH ARTICLE QUALITY COMPETITION AND MARKET SEGMENTATION IN THE SECURITY SOFTWARE MARKET Debabrata Dey ad Atau Lahr Mchael G. Foster School of Busess, Uersty of Washgto, Seattle, Seattle, WA 9895 U.S.A.

More information

d dt d d dt dt Also recall that by Taylor series, / 2 (enables use of sin instead of cos-see p.27 of A&F) dsin

d dt d d dt dt Also recall that by Taylor series, / 2 (enables use of sin instead of cos-see p.27 of A&F) dsin Learzato of the Swg Equato We wll cover sectos.5.-.6 ad begg of Secto 3.3 these otes. 1. Sgle mache-fte bus case Cosder a sgle mache coected to a fte bus, as show Fg. 1 below. E y1 V=1./_ Fg. 1 The admttace

More information

We have already referred to a certain reaction, which takes place at high temperature after rich combustion.

We have already referred to a certain reaction, which takes place at high temperature after rich combustion. ME 41 Day 13 Topcs Chemcal Equlbrum - Theory Chemcal Equlbrum Example #1 Equlbrum Costats Chemcal Equlbrum Example #2 Chemcal Equlbrum of Hot Bured Gas 1. Chemcal Equlbrum We have already referred to a

More information

Decomposition of Hadamard Matrices

Decomposition of Hadamard Matrices Chapter 7 Decomposto of Hadamard Matrces We hae see Chapter that Hadamard s orgal costructo of Hadamard matrces states that the Kroecer product of Hadamard matrces of orders m ad s a Hadamard matrx of

More information

Order Nonlinear Vector Differential Equations

Order Nonlinear Vector Differential Equations It. Joural of Math. Aalyss Vol. 3 9 o. 3 39-56 Coverget Power Seres Solutos of Hgher Order Nolear Vector Dfferetal Equatos I. E. Kougas Departet of Telecoucato Systes ad Networs Techologcal Educatoal Isttute

More information

Econometric Methods. Review of Estimation

Econometric Methods. Review of Estimation Ecoometrc Methods Revew of Estmato Estmatg the populato mea Radom samplg Pot ad terval estmators Lear estmators Ubased estmators Lear Ubased Estmators (LUEs) Effcecy (mmum varace) ad Best Lear Ubased Estmators

More information

The Mathematical Appendix

The Mathematical Appendix The Mathematcal Appedx Defto A: If ( Λ, Ω, where ( λ λ λ whch the probablty dstrbutos,,..., Defto A. uppose that ( Λ,,..., s a expermet type, the σ-algebra o λ λ λ are defed s deoted by ( (,,...,, σ Ω.

More information

On L- Fuzzy Sets. T. Rama Rao, Ch. Prabhakara Rao, Dawit Solomon And Derso Abeje.

On L- Fuzzy Sets. T. Rama Rao, Ch. Prabhakara Rao, Dawit Solomon And Derso Abeje. Iteratoal Joural of Fuzzy Mathematcs ad Systems. ISSN 2248-9940 Volume 3, Number 5 (2013), pp. 375-379 Research Ida Publcatos http://www.rpublcato.com O L- Fuzzy Sets T. Rama Rao, Ch. Prabhakara Rao, Dawt

More information

Discrete Mathematics and Probability Theory Fall 2016 Seshia and Walrand DIS 10b

Discrete Mathematics and Probability Theory Fall 2016 Seshia and Walrand DIS 10b CS 70 Dscrete Mathematcs ad Probablty Theory Fall 206 Sesha ad Walrad DIS 0b. Wll I Get My Package? Seaky delvery guy of some compay s out delverg packages to customers. Not oly does he had a radom package

More information

Decomposition of the Moonshine Vertex Operator Algebra as Virasoro Modules

Decomposition of the Moonshine Vertex Operator Algebra as Virasoro Modules Joural of Algebra 6 999 do:6jabr9996 avalable ole at http:wwwdealbrarycom o Decomposto of the Mooshe Vertex Operator Algebra as Vrasoro Modules Masaak Ktazume Departmet of Mathematcs ad Iformatcs Chba

More information

Shiva and Kali diagrams for composite quantum particle many-body effects

Shiva and Kali diagrams for composite quantum particle many-body effects 1 arxv:0902.4588v1 [cod-at.es-hall] 26 Feb 2009 Shva ad Kal dagras for coposte quatu partcle ay-body effects M. Cobescot ad O. Betbeder-Matbet Isttut des NaoSceces de Pars, Uversté Perre et Mare Cure,

More information

Q-analogue of a Linear Transformation Preserving Log-concavity

Q-analogue of a Linear Transformation Preserving Log-concavity Iteratoal Joural of Algebra, Vol. 1, 2007, o. 2, 87-94 Q-aalogue of a Lear Trasformato Preservg Log-cocavty Daozhog Luo Departmet of Mathematcs, Huaqao Uversty Quazhou, Fua 362021, P. R. Cha ldzblue@163.com

More information

III-16 G. Brief Review of Grand Orthogonality Theorem and impact on Representations (Γ i ) l i = h n = number of irreducible representations.

III-16 G. Brief Review of Grand Orthogonality Theorem and impact on Representations (Γ i ) l i = h n = number of irreducible representations. III- G. Bref evew of Grad Orthogoalty Theorem ad mpact o epresetatos ( ) GOT: h [ () m ] [ () m ] δδ δmm ll GOT puts great restrcto o form of rreducble represetato also o umber: l h umber of rreducble

More information

2SLS Estimates ECON In this case, begin with the assumption that E[ i

2SLS Estimates ECON In this case, begin with the assumption that E[ i SLS Estmates ECON 3033 Bll Evas Fall 05 Two-Stage Least Squares (SLS Cosder a stadard lear bvarate regresso model y 0 x. I ths case, beg wth the assumto that E[ x] 0 whch meas that OLS estmates of wll

More information

ROOT-LOCUS ANALYSIS. Lecture 11: Root Locus Plot. Consider a general feedback control system with a variable gain K. Y ( s ) ( ) K

ROOT-LOCUS ANALYSIS. Lecture 11: Root Locus Plot. Consider a general feedback control system with a variable gain K. Y ( s ) ( ) K ROOT-LOCUS ANALYSIS Coder a geeral feedback cotrol yte wth a varable ga. R( Y( G( + H( Root-Locu a plot of the loc of the pole of the cloed-loop trafer fucto whe oe of the yte paraeter ( vared. Root locu

More information

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS Postpoed exam: ECON430 Statstcs Date of exam: Jauary 0, 0 Tme for exam: 09:00 a.m. :00 oo The problem set covers 5 pages Resources allowed: All wrtte ad prted

More information

8.1 Hashing Algorithms

8.1 Hashing Algorithms CS787: Advaced Algorthms Scrbe: Mayak Maheshwar, Chrs Hrchs Lecturer: Shuch Chawla Topc: Hashg ad NP-Completeess Date: September 21 2007 Prevously we looked at applcatos of radomzed algorthms, ad bega

More information