Lecture 10 :Kac-Moody algebras

Size: px
Start display at page:

Download "Lecture 10 :Kac-Moody algebras"

Transcription

1 Lecture 10 :Kc-Moody lgebrs 1 Non-liner sigm model The ction: where: S 0 = 1 4 d xtr ( µ g 1 µ g) - positive dimensionless coupling constnt g(x) - mtrix bosonic field living on the group mnifold G ssocited with the Lie lgebr g The ction is rel when g(x) is vlued in unitry representtion. The trce is tken in such representtion, the prime indictes representtion-independent normliztion: Tr (t t b ) = δ,b, where [t, t b ] = c if bc t c nd t is ny mtrix representtion of the Lie lgebr genertors Problems with this ction: it is conformlly invrint clssiclly, but t the quntum level it is effectively mssive. even clssiclly there is problem with conserved currents: there re not chirl (holomorphic nd ntiholomorphic) conserved currents (it follows from the eqution of motion for this theory) Wess-Zumino-Witten models An dditionl term in the ction (topologicl term): Γ = i d 3 ytr ( g 1 g) 3 4π B 1

2 where B is 3-dim mnifold whose boundry is the compctifiction of the originl - dim spce. The g is n extension of the field g to the 3-dim mnifold. This extension is not unique. The mbiguity in the definition of Γ is n integer multiple of πi. Thus ny coupling constnt multiplying the Γ term dded to the ction hs to be integer. The full ction is defined s: where k hs to be integer. The eqution of motion: S = S 0 + kγ µ (g 1 µ g) + ik 4π ɛ µν µ (g 1 ν g) = 0 In terms of complex vribles: ( ) ( ) 1 + k (g 1 g) + 1 k 4π 4π (g 1 g) = 0 For = 4π k we hve the conservtion lw: (g 1 g) = 0 for k > 0 (for k < 0 the second solution implies conservtion of the dul currents). The conserved currents: J(z) = k gg 1, J( z) = kg 1 g The vrition of the ction The seprte conservtion of the currents J z, J z implies the invrince of the ction under g(z, z) Ω(z)g(z, z) Ω 1 ( z) where Ω, Ω re two rbitrry mtrices vlued in G. Under the infinitesiml trnsformtion Ω(z) = 1 + ω(z), Ω( z) = 1 + ω( z) the field g trnsforms s δ ω g = ωg, δ ω g = g ω.

3 The vrition of the ction written in terms of J = J t, ω = ω t reds δ ω, ω S = 1 πi dz ω J + 1 πi d z ω J This implies the vrition of field in the form: δ ω, ω X = 1 dz ω J X + 1 πi πi Trnsformtion lw for the current: d z ω J X (1) the vrition of the current from the definition of the current: δ ω = k ( (δ ω g)g 1 gg 1 δ ω g 1) = k ( ωg + ω g) g 1 +k gg 1 ω = [ω, J] k ω It cn be written s δ ω J = b,c if bc ω b J c k ω compring this with the vrition of the current computed from (1) one gets 3 Current lgebr J (z)j b (w) kδ b + c if bc J c (w) OPE of the currents: J (z)j b (w) kδ b + c if bc J c (w) The modes: J (z) = n Z z n 1 J n stisfy the commuttion reltions: [J n, J b m] = c if bc J c n+m + k n δ b δ n+m,0 The Kc-Moody lgebr ĝ k is defined by these commuttion reltions, where f bc re structure constnts of the Lie lgebr g nd k is its centrl extension (it is clled the level of the Kc-Moody lgebr). 3

4 The sublgebr of zero modes form the ordinry Lie lgebr g (clled the horizontl Lie sublgebr of Kc-Moody lg.): [J 0, J b 0] = c if bc J c 0 4 The Sugwr construction Energy-momentum tensor cn be constructed from the currents: T (z) = 1 β dim g =1 : J (z)j (z) : The constnt β is fixed by requiring J (z) to trnsform s (1, 0) primry fields: T (z)j (w) J (w) + J (w) z w [L m, J n] = nj m+n This is condition for the Virsoro genertors written in terms of the current modes: L n = 1 : J β m+nj m : m= It implies β = (C g + k) where C g the dul Coxeter number of the Lie lgebr g ( for su(n): C su(n) = N ). The centrl chrge cn be determined from the condition c = 0 L L 0 where It reds L = 1 : J β 1J 1 :, Jn 0 = 0, forn 0 c = k dim g (C g + k) 5 Exmples 5.1 The su(n) ˆ k cses su() ˆ k dim su() k = 3, C su() = c = 3k k + 4

5 For k = 1 the theory with centrl chrge c = 1 cn be relized by the CFT of free boson. su(3) ˆ k dim su(3) k = 8, C su() = 3 c = 8k k + 3 For k = 1 the theory with centrl chrge c = cn be relized by two free bosons. su(n) ˆ k dim su(n) k = N 1, C su(n) = N c = (N 1)k k + N For k = 1 the theory with centrl chrge c = N 1 cn be relized by N 1 free bosons. 5. The su() ˆ 1 cse In the free boson theory there re 3 fields with conforml weight (, ) = (1, 0): j(z) = i φ(z), j ± (z) = e ±i φ(z) where φ(z) = iϕ 0 + ϕ < (z) + π 0 ln(z) ϕ > (z). The currents constructed from these fields stisfy the OPE reltions The corresponding modes: j 1 = 1 ( j + + j ), j (z)j b (w) = j (z) = m stisfy commuttion reltions j = i ( j + j ), δ b + i ɛ bc z w jc (w) + reg. jmz m 1, j m = dz πi zm j (z) j 3 = j [j m, j b n] = i ɛ bc j c n+m + m δ b δ m+n,0 ɛ bc re structure constnts of su() lgebr, thus these commuttion reltions define the Kc-Moody lgebr su() ˆ 1 with k = 1. One cn lso check tht the energy-momentum tensor following from the Sugwr construction is in this cse the tensor of free boson theory: T (z) = 1 : j (z)j (z) := 1 : φ(z) φ(z) : 6 5

6 5.3 The ŝo(n) 1 cse The lgebr ŝo(n) 1 cn be relized by N rel free fermions with the usul OPE: ψ i (z)ψ j (w) δ ij trnsforming in the vector representtion of so(n), with trnsformtion mtrices t ij. The index stnds for pir of integers (r, s) such tht 1 r < s N nd the explicit reliztion of these mtrices is given by The currents hve the form: t ij t (rs) ij T r(t t b ) = δ b, = i ( ) δi r δj s δj r δi s t ijt kl = δ ik δ jl + δ il δ jk J (z) = γ ij ψ i t ijψ j In order to check if the currents stisfy the Kc-Moody lgebr one cn clculte the OPE: J (z)j b (w) = γ c The first term sets the prmeter γ = 1 The centrl chrge is given by if bc J c (w) + γ T r(t t b ) + reg nd from the second term we cn see tht k = 1. c = 1N(N 1) (N ) + 1 = N. The energy-momentum tensor given by the Sugwr construction reds T (z) = = = 1 8(N 1) 1 8(N 1) (( ) ψi t ijψ j (ψk t klψ l ) ) i,j,k,l [ δ ik δ jl δ il δ jk ] ((ψ i ψ j ) (ψ k ψ l )) i,j,k,l 1 4(N 1) (ψ i ψ j ) = N (ψ i ψ j ) 8(N 1) i i 6

Frame-like gauge invariant formulation for mixed symmetry fermionic fields

Frame-like gauge invariant formulation for mixed symmetry fermionic fields Frme-like guge invrint formultion for mixed symmetry fermionic fields rxiv:0904.0549v1 [hep-th] 3 Apr 2009 Yu. M. Zinoviev Institute for High Energy Physics Protvino, Moscow Region, 142280, Russi Abstrct

More information

On the free product of ordered groups

On the free product of ordered groups rxiv:703.0578v [mth.gr] 6 Mr 207 On the free product of ordered groups A. A. Vinogrdov One of the fundmentl questions of the theory of ordered groups is wht bstrct groups re orderble. E. P. Shimbirev [2]

More information

d 2 Area i K i0 ν 0 (S.2) d 3 x t 0ν

d 2 Area i K i0 ν 0 (S.2) d 3 x t 0ν PHY 396 K. Solutions for prolem set #. Prolem 1: Let T µν = λ K λµ ν. Regrdless of the specific form of the K λµ ν φ, φ tensor, its ntisymmetry with respect to its first two indices K λµ ν K µλ ν implies

More information

Fierz transformations

Fierz transformations Fierz trnsformtions Fierz identities re often useful in quntum field theory clcultions. They re connected to reordering of field opertors in contct four-prticle interction. The bsic tsk is: given four

More information

ECON 331 Lecture Notes: Ch 4 and Ch 5

ECON 331 Lecture Notes: Ch 4 and Ch 5 Mtrix Algebr ECON 33 Lecture Notes: Ch 4 nd Ch 5. Gives us shorthnd wy of writing lrge system of equtions.. Allows us to test for the existnce of solutions to simultneous systems. 3. Allows us to solve

More information

MATRIX DEFINITION A matrix is any doubly subscripted array of elements arranged in rows and columns.

MATRIX DEFINITION A matrix is any doubly subscripted array of elements arranged in rows and columns. 4.5 THEORETICL SOIL MECHNICS Vector nd Mtrix lger Review MTRIX DEFINITION mtrix is ny douly suscripted rry of elements rrnged in rows nd columns. m - Column Revised /0 n -Row m,,,,,, n n mn ij nd Order

More information

Algebra Of Matrices & Determinants

Algebra Of Matrices & Determinants lgebr Of Mtrices & Determinnts Importnt erms Definitions & Formule 0 Mtrix - bsic introduction: mtrix hving m rows nd n columns is clled mtrix of order m n (red s m b n mtrix) nd mtrix of order lso in

More information

REPRESENTATION THEORY OF PSL 2 (q)

REPRESENTATION THEORY OF PSL 2 (q) REPRESENTATION THEORY OF PSL (q) YAQIAO LI Following re notes from book [1]. The im is to show the qusirndomness of PSL (q), i.e., the group hs no low dimensionl representtion. 1. Representtion Theory

More information

The Perron-Frobenius operators, invariant measures and representations of the Cuntz-Krieger algebras

The Perron-Frobenius operators, invariant measures and representations of the Cuntz-Krieger algebras The Perron-Frobenius opertors, invrint mesures nd representtions of the Cuntz-Krieger lgebrs Ktsunori Kwmur Reserch Institute for Mthemticl Sciences Kyoto University, Kyoto 606-8502, Jpn For trnsformtion

More information

Chapter 3. Vector Spaces

Chapter 3. Vector Spaces 3.4 Liner Trnsformtions 1 Chpter 3. Vector Spces 3.4 Liner Trnsformtions Note. We hve lredy studied liner trnsformtions from R n into R m. Now we look t liner trnsformtions from one generl vector spce

More information

Introduction to Group Theory

Introduction to Group Theory Introduction to Group Theory Let G be n rbitrry set of elements, typiclly denoted s, b, c,, tht is, let G = {, b, c, }. A binry opertion in G is rule tht ssocites with ech ordered pir (,b) of elements

More information

Summary: Method of Separation of Variables

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

More information

Chapter 3 MATRIX. In this chapter: 3.1 MATRIX NOTATION AND TERMINOLOGY

Chapter 3 MATRIX. In this chapter: 3.1 MATRIX NOTATION AND TERMINOLOGY Chpter 3 MTRIX In this chpter: Definition nd terms Specil Mtrices Mtrix Opertion: Trnspose, Equlity, Sum, Difference, Sclr Multipliction, Mtrix Multipliction, Determinnt, Inverse ppliction of Mtrix in

More information

Jim Lambers MAT 280 Spring Semester Lecture 26 and 27 Notes

Jim Lambers MAT 280 Spring Semester Lecture 26 and 27 Notes Jim Lmbers MAT 280 pring emester 2009-10 Lecture 26 nd 27 Notes These notes correspond to ection 8.6 in Mrsden nd Tromb. ifferentil Forms To dte, we hve lerned the following theorems concerning the evlution

More information

Antonio Pich. IFIC, CSIC University of Valencia. 1. Gauge Theories 2. Renormalization 3. Renormalization Group 4.

Antonio Pich. IFIC, CSIC University of Valencia. 1. Gauge Theories 2. Renormalization 3. Renormalization Group 4. Antonio Pich IFIC, CSIC University of Vlenci 1. uge Theories 2. Renormliztion 3. Renormliztion roup 4. QCD Phenomenology 5. Chirl Perturbtion Theory TAE 2005, Bensue, Spin, 12-24 September 2005 uge Symmetry

More information

Citation for published version (APA): de Wit, T. C. (2003). Domain-walls and gauged supergravities Groningen: s.n.

Citation for published version (APA): de Wit, T. C. (2003). Domain-walls and gauged supergravities Groningen: s.n. University of Groningen Domin-wlls nd guged supergrvities de Wit, Tim Cornelis IMPORTANT NOTE: You re dvised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Plese check

More information

f(x)dl, f(x)ds, f(x)dv (1) Much of their importance lies in the coordinate invariance of the resulting integrals.

f(x)dl, f(x)ds, f(x)dv (1) Much of their importance lies in the coordinate invariance of the resulting integrals. Exterior Clculus. Differentil forms In the study of differentil geometry, differentils re defined s liner mppings from curves to the rels. This suggests generliztion, since we know how to integrte over

More information

Bypassing no-go theorems for consistent interactions in gauge theories

Bypassing no-go theorems for consistent interactions in gauge theories Bypssing no-go theorems for consistent interctions in guge theories Simon Lykhovich Tomsk Stte University Suzdl, 4 June 2014 The tlk is bsed on the rticles D.S. Kprulin, S.L.Lykhovich nd A.A.Shrpov, Consistent

More information

Space Curves. Recall the parametric equations of a curve in xy-plane and compare them with parametric equations of a curve in space.

Space Curves. Recall the parametric equations of a curve in xy-plane and compare them with parametric equations of a curve in space. Clculus 3 Li Vs Spce Curves Recll the prmetric equtions of curve in xy-plne nd compre them with prmetric equtions of curve in spce. Prmetric curve in plne x = x(t) y = y(t) Prmetric curve in spce x = x(t)

More information

The usual algebraic operations +,, (or ), on real numbers can then be extended to operations on complex numbers in a natural way: ( 2) i = 1

The usual algebraic operations +,, (or ), on real numbers can then be extended to operations on complex numbers in a natural way: ( 2) i = 1 Mth50 Introduction to Differentil Equtions Brief Review of Complex Numbers Complex Numbers No rel number stisfies the eqution x =, since the squre of ny rel number hs to be non-negtive. By introducing

More information

Notes on length and conformal metrics

Notes on length and conformal metrics Notes on length nd conforml metrics We recll how to mesure the Eucliden distnce of n rc in the plne. Let α : [, b] R 2 be smooth (C ) rc. Tht is α(t) (x(t), y(t)) where x(t) nd y(t) re smooth rel vlued

More information

Math 520 Final Exam Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008

Math 520 Final Exam Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008 Mth 520 Finl Exm Topic Outline Sections 1 3 (Xio/Dums/Liw) Spring 2008 The finl exm will be held on Tuesdy, My 13, 2-5pm in 117 McMilln Wht will be covered The finl exm will cover the mteril from ll of

More information

Chern Simons D = 3, N = 6 superfield theory

Chern Simons D = 3, N = 6 superfield theory Physics Letters B 66 28) 254 259 www.elsevier.com/locte/physlet Chern Simons D = 3 N = 6 superfield theory B.M. Zupni Bogoliuov Lortory of Theoreticl Physics JINR Dun Moscow Region 498 Russi Received 29

More information

MathCity.org Merging man and maths

MathCity.org Merging man and maths MthCity.org Merging mn nd mths Exercise.8 (s) Pge 46 Textbook of Algebr nd Trigonometry for Clss XI Avilble online @ http://, Version: 3.0 Question # Opertion performed on the two-member set G = {0, is

More information

Problem Set 2 Solutions

Problem Set 2 Solutions Chemistry 362 Dr. Jen M. Stnr Problem Set 2 Solutions 1. Determine the outcomes of operting the following opertors on the functions liste. In these functions, is constnt.).) opertor: /x ; function: x e

More information

INTRODUCTION TO LINEAR ALGEBRA

INTRODUCTION TO LINEAR ALGEBRA ME Applied Mthemtics for Mechnicl Engineers INTRODUCTION TO INEAR AGEBRA Mtrices nd Vectors Prof. Dr. Bülent E. Pltin Spring Sections & / ME Applied Mthemtics for Mechnicl Engineers INTRODUCTION TO INEAR

More information

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions Physics 6C Solution of inhomogeneous ordinry differentil equtions using Green s functions Peter Young November 5, 29 Homogeneous Equtions We hve studied, especilly in long HW problem, second order liner

More information

Chapter 5 Determinants

Chapter 5 Determinants hpter 5 Determinnts 5. Introduction Every squre mtri hs ssocited with it sclr clled its determinnt. Given mtri, we use det() or to designte its determinnt. We cn lso designte the determinnt of mtri by

More information

How do you know you have SLE?

How do you know you have SLE? Simultneous Liner Equtions Simultneous Liner Equtions nd Liner Algebr Simultneous liner equtions (SLE s) occur frequently in Sttics, Dynmics, Circuits nd other engineering clsses Need to be ble to, nd

More information

arxiv: v1 [math.ra] 1 Nov 2014

arxiv: v1 [math.ra] 1 Nov 2014 CLASSIFICATION OF COMPLEX CYCLIC LEIBNIZ ALGEBRAS DANIEL SCOFIELD AND S MCKAY SULLIVAN rxiv:14110170v1 [mthra] 1 Nov 2014 Abstrct Since Leibniz lgebrs were introduced by Lody s generliztion of Lie lgebrs,

More information

Homework Problem Set 1 Solutions

Homework Problem Set 1 Solutions Chemistry 460 Dr. Jen M. Stnr Homework Problem Set 1 Solutions 1. Determine the outcomes of operting the following opertors on the functions liste. In these functions, is constnt..) opertor: / ; function:

More information

Hadronic Superpartners from Superconformal and Supersymmetric Algebra

Hadronic Superpartners from Superconformal and Supersymmetric Algebra Hdronic Superprtners from Superconforml nd Supersymmetric Algebr mesons tetrqurks bryons Mrin Nielsen SLAC & IFUSP with S.J. Brodsky, rxiv:1802.09652 Light Front Hologrphic QCD (LFHQCD) Brodsky, de Térmond,

More information

The Algebra (al-jabr) of Matrices

The Algebra (al-jabr) of Matrices Section : Mtri lgebr nd Clculus Wshkewicz College of Engineering he lgebr (l-jbr) of Mtrices lgebr s brnch of mthemtics is much broder thn elementry lgebr ll of us studied in our high school dys. In sense

More information

GAUGE THEORY ON A SPACE-TIME WITH TORSION

GAUGE THEORY ON A SPACE-TIME WITH TORSION GAUGE THEORY ON A SPACE-TIME WITH TORSION C. D. OPRISAN, G. ZET Fculty of Physics, Al. I. Cuz University, Isi, Romni Deprtment of Physics, Gh. Aschi Technicl University, Isi 700050, Romni Received September

More information

Matrix Algebra. Matrix Addition, Scalar Multiplication and Transposition. Linear Algebra I 24

Matrix Algebra. Matrix Addition, Scalar Multiplication and Transposition. Linear Algebra I 24 Mtrix lger Mtrix ddition, Sclr Multipliction nd rnsposition Mtrix lger Section.. Mtrix ddition, Sclr Multipliction nd rnsposition rectngulr rry of numers is clled mtrix ( the plurl is mtrices ) nd the

More information

Jim Lambers MAT 169 Fall Semester Lecture 4 Notes

Jim Lambers MAT 169 Fall Semester Lecture 4 Notes Jim Lmbers MAT 169 Fll Semester 2009-10 Lecture 4 Notes These notes correspond to Section 8.2 in the text. Series Wht is Series? An infinte series, usully referred to simply s series, is n sum of ll of

More information

Chapter 14. Matrix Representations of Linear Transformations

Chapter 14. Matrix Representations of Linear Transformations Chpter 4 Mtrix Representtions of Liner Trnsformtions When considering the Het Stte Evolution, we found tht we could describe this process using multipliction by mtrix. This ws nice becuse computers cn

More information

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies Stte spce systems nlysis (continued) Stbility A. Definitions A system is sid to be Asymptoticlly Stble (AS) when it stisfies ut () = 0, t > 0 lim xt () 0. t A system is AS if nd only if the impulse response

More information

1.1. Linear Constant Coefficient Equations. Remark: A differential equation is an equation

1.1. Linear Constant Coefficient Equations. Remark: A differential equation is an equation 1 1.1. Liner Constnt Coefficient Equtions Section Objective(s): Overview of Differentil Equtions. Liner Differentil Equtions. Solving Liner Differentil Equtions. The Initil Vlue Problem. 1.1.1. Overview

More information

Math 33A Discussion Example Austin Christian October 23, Example 1. Consider tiling the plane by equilateral triangles, as below.

Math 33A Discussion Example Austin Christian October 23, Example 1. Consider tiling the plane by equilateral triangles, as below. Mth 33A Discussion Exmple Austin Christin October 3 6 Exmple Consider tiling the plne by equilterl tringles s below Let v nd w be the ornge nd green vectors in this figure respectively nd let {v w} be

More information

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

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

More information

Quantization Of Massless Conformally Vector Field In de Sitter Space-Time

Quantization Of Massless Conformally Vector Field In de Sitter Space-Time 6th Interntionl Worshop on Pseudo Hermitin Hmiltonin In Quntum Physics London 6th -8th July 7 Quntition Of Mssless Conformlly Vector Field In de Sitter Spce-Time Mohmd Re Tnhyi Islmic Ad University-Centrl

More information

dx dt dy = G(t, x, y), dt where the functions are defined on I Ω, and are locally Lipschitz w.r.t. variable (x, y) Ω.

dx dt dy = G(t, x, y), dt where the functions are defined on I Ω, and are locally Lipschitz w.r.t. variable (x, y) Ω. Chpter 8 Stility theory We discuss properties of solutions of first order two dimensionl system, nd stility theory for specil clss of liner systems. We denote the independent vrile y t in plce of x, nd

More information

8.324 Relativistic Quantum Field Theory II

8.324 Relativistic Quantum Field Theory II 8.324 Reltivistic Quntum Field Theory II MIT OpenCourseWre Lecture Notes Hon Liu, Fll 200 Lecture 5.4: QUANTIZATION OF NON-ABELIAN GAUGE THEORIES.4.: Gue Symmetries Gue symmetry is not true symmetry, but

More information

Continuous Random Variables

Continuous Random Variables STAT/MATH 395 A - PROBABILITY II UW Winter Qurter 217 Néhémy Lim Continuous Rndom Vribles Nottion. The indictor function of set S is rel-vlued function defined by : { 1 if x S 1 S (x) if x S Suppose tht

More information

ON THE NILPOTENCY INDEX OF THE RADICAL OF A GROUP ALGEBRA. XI

ON THE NILPOTENCY INDEX OF THE RADICAL OF A GROUP ALGEBRA. XI Mth. J. Okym Univ. 44(2002), 51 56 ON THE NILPOTENCY INDEX OF THE RADICAL OF A GROUP ALGEBRA. XI Koru MOTOSE Let t(g) be the nilpotency index of the rdicl J(KG) of group lgebr KG of finite p-solvble group

More information

STURM-LIOUVILLE BOUNDARY VALUE PROBLEMS

STURM-LIOUVILLE BOUNDARY VALUE PROBLEMS STURM-LIOUVILLE BOUNDARY VALUE PROBLEMS Throughout, we let [, b] be bounded intervl in R. C 2 ([, b]) denotes the spce of functions with derivtives of second order continuous up to the endpoints. Cc 2

More information

Conducting Ellipsoid and Circular Disk

Conducting Ellipsoid and Circular Disk 1 Problem Conducting Ellipsoid nd Circulr Disk Kirk T. McDonld Joseph Henry Lbortories, Princeton University, Princeton, NJ 08544 (September 1, 00) Show tht the surfce chrge density σ on conducting ellipsoid,

More information

Physics Graduate Prelim exam

Physics Graduate Prelim exam Physics Grdute Prelim exm Fll 2008 Instructions: This exm hs 3 sections: Mechnics, EM nd Quntum. There re 3 problems in ech section You re required to solve 2 from ech section. Show ll work. This exm is

More information

Math 115 ( ) Yum-Tong Siu 1. Lagrange Multipliers and Variational Problems with Constraints. F (x,y,y )dx

Math 115 ( ) Yum-Tong Siu 1. Lagrange Multipliers and Variational Problems with Constraints. F (x,y,y )dx Mth 5 2006-2007) Yum-Tong Siu Lgrnge Multipliers nd Vritionl Problems with Constrints Integrl Constrints. Consider the vritionl problem of finding the extremls for the functionl J[y] = F x,y,y )dx with

More information

Linearly Similar Polynomials

Linearly Similar Polynomials Linerly Similr Polynomils rthur Holshouser 3600 Bullrd St. Chrlotte, NC, US Hrold Reiter Deprtment of Mthemticl Sciences University of North Crolin Chrlotte, Chrlotte, NC 28223, US hbreiter@uncc.edu stndrd

More information

MATRICES AND VECTORS SPACE

MATRICES AND VECTORS SPACE MATRICES AND VECTORS SPACE MATRICES AND MATRIX OPERATIONS SYSTEM OF LINEAR EQUATIONS DETERMINANTS VECTORS IN -SPACE AND -SPACE GENERAL VECTOR SPACES INNER PRODUCT SPACES EIGENVALUES, EIGENVECTORS LINEAR

More information

MATH 423 Linear Algebra II Lecture 28: Inner product spaces.

MATH 423 Linear Algebra II Lecture 28: Inner product spaces. MATH 423 Liner Algebr II Lecture 28: Inner product spces. Norm The notion of norm generlizes the notion of length of vector in R 3. Definition. Let V be vector spce over F, where F = R or C. A function

More information

1 1D heat and wave equations on a finite interval

1 1D heat and wave equations on a finite interval 1 1D het nd wve equtions on finite intervl In this section we consider generl method of seprtion of vribles nd its pplictions to solving het eqution nd wve eqution on finite intervl ( 1, 2. Since by trnsltion

More information

Elements of Matrix Algebra

Elements of Matrix Algebra Elements of Mtrix Algebr Klus Neusser Kurt Schmidheiny September 30, 2015 Contents 1 Definitions 2 2 Mtrix opertions 3 3 Rnk of Mtrix 5 4 Specil Functions of Qudrtic Mtrices 6 4.1 Trce of Mtrix.........................

More information

Math 6455 Oct 10, Differential Geometry I Fall 2006, Georgia Tech

Math 6455 Oct 10, Differential Geometry I Fall 2006, Georgia Tech Mth 6455 Oct 10, 2006 1 Differentil Geometry I Fll 2006, Georgi Tech Lecture Notes 12 Riemnnin Metrics 0.1 Definition If M is smooth mnifold then by Riemnnin metric g on M we men smooth ssignment of n

More information

PHYS 4390: GENERAL RELATIVITY LECTURE 6: TENSOR CALCULUS

PHYS 4390: GENERAL RELATIVITY LECTURE 6: TENSOR CALCULUS PHYS 4390: GENERAL RELATIVITY LECTURE 6: TENSOR CALCULUS To strt on tensor clculus, we need to define differentition on mnifold.a good question to sk is if the prtil derivtive of tensor tensor on mnifold?

More information

1.9 C 2 inner variations

1.9 C 2 inner variations 46 CHAPTER 1. INDIRECT METHODS 1.9 C 2 inner vritions So fr, we hve restricted ttention to liner vritions. These re vritions of the form vx; ǫ = ux + ǫφx where φ is in some liner perturbtion clss P, for

More information

Chapter 5 : Continuous Random Variables

Chapter 5 : Continuous Random Variables STAT/MATH 395 A - PROBABILITY II UW Winter Qurter 216 Néhémy Lim Chpter 5 : Continuous Rndom Vribles Nottions. N {, 1, 2,...}, set of nturl numbers (i.e. ll nonnegtive integers); N {1, 2,...}, set of ll

More information

Introduction To Matrices MCV 4UI Assignment #1

Introduction To Matrices MCV 4UI Assignment #1 Introduction To Mtrices MCV UI Assignment # INTRODUCTION: A mtrix plurl: mtrices) is rectngulr rry of numbers rrnged in rows nd columns Exmples: ) b) c) [ ] d) Ech number ppering in the rry is sid to be

More information

a a a a a a a a a a a a a a a a a a a a a a a a In this section, we introduce a general formula for computing determinants.

a a a a a a a a a a a a a a a a a a a a a a a a In this section, we introduce a general formula for computing determinants. Section 9 The Lplce Expnsion In the lst section, we defined the determinnt of (3 3) mtrix A 12 to be 22 12 21 22 2231 22 12 21. In this section, we introduce generl formul for computing determinnts. Rewriting

More information

arxiv: v2 [math.nt] 2 Feb 2015

arxiv: v2 [math.nt] 2 Feb 2015 rxiv:407666v [mthnt] Fe 05 Integer Powers of Complex Tridigonl Anti-Tridigonl Mtrices Htice Kür Duru &Durmuş Bozkurt Deprtment of Mthemtics, Science Fculty of Selçuk University Jnury, 08 Astrct In this

More information

308K. 1 Section 3.2. Zelaya Eufemia. 1. Example 1: Multiplication of Matrices: X Y Z R S R S X Y Z. By associativity we have to choices:

308K. 1 Section 3.2. Zelaya Eufemia. 1. Example 1: Multiplication of Matrices: X Y Z R S R S X Y Z. By associativity we have to choices: 8K Zely Eufemi Section 2 Exmple : Multipliction of Mtrices: X Y Z T c e d f 2 R S X Y Z 2 c e d f 2 R S 2 By ssocitivity we hve to choices: OR: X Y Z R S cr ds er fs X cy ez X dy fz 2 R S 2 Suggestion

More information

Phys 6321 Final Exam - Solutions May 3, 2013

Phys 6321 Final Exam - Solutions May 3, 2013 Phys 6321 Finl Exm - Solutions My 3, 2013 You my NOT use ny book or notes other thn tht supplied with this test. You will hve 3 hours to finish. DO YOUR OWN WORK. Express your nswers clerly nd concisely

More information

Introduction to Determinants. Remarks. Remarks. The determinant applies in the case of square matrices

Introduction to Determinants. Remarks. Remarks. The determinant applies in the case of square matrices Introduction to Determinnts Remrks The determinnt pplies in the cse of squre mtrices squre mtrix is nonsingulr if nd only if its determinnt not zero, hence the term determinnt Nonsingulr mtrices re sometimes

More information

1.2. Linear Variable Coefficient Equations. y + b "! = a y + b " Remark: The case b = 0 and a non-constant can be solved with the same idea as above.

1.2. Linear Variable Coefficient Equations. y + b ! = a y + b  Remark: The case b = 0 and a non-constant can be solved with the same idea as above. 1 12 Liner Vrible Coefficient Equtions Section Objective(s): Review: Constnt Coefficient Equtions Solving Vrible Coefficient Equtions The Integrting Fctor Method The Bernoulli Eqution 121 Review: Constnt

More information

Generalizations of the Basic Functional

Generalizations of the Basic Functional 3 Generliztions of the Bsic Functionl 3 1 Chpter 3: GENERALIZATIONS OF THE BASIC FUNCTIONAL TABLE OF CONTENTS Pge 3.1 Functionls with Higher Order Derivtives.......... 3 3 3.2 Severl Dependent Vribles...............

More information

g i fφdx dx = x i i=1 is a Hilbert space. We shall, henceforth, abuse notation and write g i f(x) = f

g i fφdx dx = x i i=1 is a Hilbert space. We shall, henceforth, abuse notation and write g i f(x) = f 1. Appliction of functionl nlysis to PEs 1.1. Introduction. In this section we give little introduction to prtil differentil equtions. In prticulr we consider the problem u(x) = f(x) x, u(x) = x (1) where

More information

Handout 4. Inverse and Implicit Function Theorems.

Handout 4. Inverse and Implicit Function Theorems. 8.95 Hndout 4. Inverse nd Implicit Function Theorems. Theorem (Inverse Function Theorem). Suppose U R n is open, f : U R n is C, x U nd df x is invertible. Then there exists neighborhood V of x in U nd

More information

Topological Quantum Compiling

Topological Quantum Compiling Topologicl Quntum Compiling Work in collbortion with: Lyl Hormozi Georgios Zikos Steven H. Simon Michel Freedmn Nd Petrovic Florid Stte University Lucent Technologies Microsoft Project Q UCSB NEB, L. Hormozi,

More information

ODE: Existence and Uniqueness of a Solution

ODE: Existence and Uniqueness of a Solution Mth 22 Fll 213 Jerry Kzdn ODE: Existence nd Uniqueness of Solution The Fundmentl Theorem of Clculus tells us how to solve the ordinry differentil eqution (ODE) du = f(t) dt with initil condition u() =

More information

Population Dynamics Definition Model A model is defined as a physical representation of any natural phenomena Example: 1. A miniature building model.

Population Dynamics Definition Model A model is defined as a physical representation of any natural phenomena Example: 1. A miniature building model. Popultion Dynmics Definition Model A model is defined s physicl representtion of ny nturl phenomen Exmple: 1. A miniture building model. 2. A children cycle prk depicting the trffic signls 3. Disply of

More information

NOTES ON HILBERT SPACE

NOTES ON HILBERT SPACE NOTES ON HILBERT SPACE 1 DEFINITION: by Prof C-I Tn Deprtment of Physics Brown University A Hilbert spce is n inner product spce which, s metric spce, is complete We will not present n exhustive mthemticl

More information

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

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

More information

Are Deligne-Lusztig representations Deligne-Lusztig? Except when they are complex?

Are Deligne-Lusztig representations Deligne-Lusztig? Except when they are complex? Are Deligne-Lusztig representtions Deligne-Lusztig? Except when they re complex?. Representtion theory Let K be (connected) compct Lie group, nd let π n irreducible representtion of K. This mens tht π

More information

arxiv:gr-qc/ v1 14 Mar 2000

arxiv:gr-qc/ v1 14 Mar 2000 The binry blck-hole dynmics t the third post-newtonin order in the orbitl motion Piotr Jrnowski Institute of Theoreticl Physics, University of Bi lystok, Lipow 1, 15-2 Bi lystok, Polnd Gerhrd Schäfer Theoretisch-Physiklisches

More information

The Basic Functional 2 1

The Basic Functional 2 1 2 The Bsic Functionl 2 1 Chpter 2: THE BASIC FUNCTIONAL TABLE OF CONTENTS Pge 2.1 Introduction..................... 2 3 2.2 The First Vrition.................. 2 3 2.3 The Euler Eqution..................

More information

Geometric Sequences. Geometric Sequence a sequence whose consecutive terms have a common ratio.

Geometric Sequences. Geometric Sequence a sequence whose consecutive terms have a common ratio. Geometric Sequences Geometric Sequence sequence whose consecutive terms hve common rtio. Geometric Sequence A sequence is geometric if the rtios of consecutive terms re the sme. 2 3 4... 2 3 The number

More information

THE QUADRATIC RECIPROCITY LAW OF DUKE-HOPKINS. Circa 1870, G. Zolotarev observed that the Legendre symbol ( a p

THE QUADRATIC RECIPROCITY LAW OF DUKE-HOPKINS. Circa 1870, G. Zolotarev observed that the Legendre symbol ( a p THE QUADRATIC RECIPROCITY LAW OF DUKE-HOPKINS PETE L CLARK Circ 1870, Zolotrev observed tht the Legendre symbol ( p ) cn be interpreted s the sign of multipliction by viewed s permuttion of the set Z/pZ

More information

Lecture 4: Piecewise Cubic Interpolation

Lecture 4: Piecewise Cubic Interpolation Lecture notes on Vritionl nd Approximte Methods in Applied Mthemtics - A Peirce UBC Lecture 4: Piecewise Cubic Interpoltion Compiled 5 September In this lecture we consider piecewise cubic interpoltion

More information

Linearity, linear operators, and self adjoint eigenvalue problems

Linearity, linear operators, and self adjoint eigenvalue problems Linerity, liner opertors, nd self djoint eigenvlue problems 1 Elements of liner lgebr The study of liner prtil differentil equtions utilizes, unsurprisingly, mny concepts from liner lgebr nd liner ordinry

More information

Problem set 1: Solutions Math 207B, Winter 2016

Problem set 1: Solutions Math 207B, Winter 2016 Problem set 1: Solutions Mth 27B, Winter 216 1. Define f : R 2 R by f(,) = nd f(x,y) = xy3 x 2 +y 6 if (x,y) (,). ()Show tht thedirectionl derivtives of f t (,)exist inevery direction. Wht is its Gâteux

More information

Definite integral. Mathematics FRDIS MENDELU

Definite integral. Mathematics FRDIS MENDELU Definite integrl Mthemtics FRDIS MENDELU Simon Fišnrová Brno 1 Motivtion - re under curve Suppose, for simplicity, tht y = f(x) is nonnegtive nd continuous function defined on [, b]. Wht is the re of the

More information

1 Linear Least Squares

1 Linear Least Squares Lest Squres Pge 1 1 Liner Lest Squres I will try to be consistent in nottion, with n being the number of dt points, nd m < n being the number of prmeters in model function. We re interested in solving

More information

Contents. Outline. Structured Rank Matrices Lecture 2: The theorem Proofs Examples related to structured ranks References. Structure Transport

Contents. Outline. Structured Rank Matrices Lecture 2: The theorem Proofs Examples related to structured ranks References. Structure Transport Contents Structured Rnk Mtrices Lecture 2: Mrc Vn Brel nd Rf Vndebril Dept. of Computer Science, K.U.Leuven, Belgium Chemnitz, Germny, 26-30 September 2011 1 Exmples relted to structured rnks 2 2 / 26

More information

MatFys. Week 2, Nov , 2005, revised Nov. 23

MatFys. Week 2, Nov , 2005, revised Nov. 23 MtFys Week 2, Nov. 21-27, 2005, revised Nov. 23 Lectures This week s lectures will be bsed on Ch.3 of the text book, VIA. Mondy Nov. 21 The fundmentls of the clculus of vritions in Eucliden spce nd its

More information

Pre-Session Review. Part 1: Basic Algebra; Linear Functions and Graphs

Pre-Session Review. Part 1: Basic Algebra; Linear Functions and Graphs Pre-Session Review Prt 1: Bsic Algebr; Liner Functions nd Grphs A. Generl Review nd Introduction to Algebr Hierrchy of Arithmetic Opertions Opertions in ny expression re performed in the following order:

More information

Complexified Gravity in Noncommutative Spaces

Complexified Gravity in Noncommutative Spaces CAMS/00-04 Complexified Grvity in Noncommuttive Spces Ali H. Chmseddine Center for Advnced Mthemticl Sciences (CAMS), nd Physics Deprtment, Americn University of Beirut, Lebnon ABSTRACT The presence of

More information

Quantum Physics II (8.05) Fall 2013 Assignment 2

Quantum Physics II (8.05) Fall 2013 Assignment 2 Quntum Physics II (8.05) Fll 2013 Assignment 2 Msschusetts Institute of Technology Physics Deprtment Due Fridy September 20, 2013 September 13, 2013 3:00 pm Suggested Reding Continued from lst week: 1.

More information

Definite integral. Mathematics FRDIS MENDELU. Simona Fišnarová (Mendel University) Definite integral MENDELU 1 / 30

Definite integral. Mathematics FRDIS MENDELU. Simona Fišnarová (Mendel University) Definite integral MENDELU 1 / 30 Definite integrl Mthemtics FRDIS MENDELU Simon Fišnrová (Mendel University) Definite integrl MENDELU / Motivtion - re under curve Suppose, for simplicity, tht y = f(x) is nonnegtive nd continuous function

More information

1. Extend QR downwards to meet the x-axis at U(6, 0). y

1. Extend QR downwards to meet the x-axis at U(6, 0). y In the digrm, two stright lines re to be drwn through so tht the lines divide the figure OPQRST into pieces of equl re Find the sum of the slopes of the lines R(6, ) S(, ) T(, 0) Determine ll liner functions

More information

THE JOHN ELLIPSOID THEOREM. The following is a lecture given in the functional analysis seminar at the University of South Carolina.

THE JOHN ELLIPSOID THEOREM. The following is a lecture given in the functional analysis seminar at the University of South Carolina. THE JOHN ELLIPSOID THEOREM RALPH HOWARD DEPARTMENT OF MATHEMATICS UNIVERSITY OF SOUTH CAROLINA COLUMBIA, SC 29208, USA HOWARD@MATHSCEDU The following is lecture given in the functionl nlysis seminr t the

More information

Theoretical foundations of Gaussian quadrature

Theoretical foundations of Gaussian quadrature Theoreticl foundtions of Gussin qudrture 1 Inner product vector spce Definition 1. A vector spce (or liner spce) is set V = {u, v, w,...} in which the following two opertions re defined: (A) Addition of

More information

Matrix & Vector Basic Linear Algebra & Calculus

Matrix & Vector Basic Linear Algebra & Calculus Mtrix & Vector Bsic Liner lgebr & lculus Wht is mtrix? rectngulr rry of numbers (we will concentrte on rel numbers). nxm mtrix hs n rows n m columns M x4 M M M M M M M M M M M M 4 4 4 First row Secon row

More information

Final Exam Solutions, MAC 3474 Calculus 3 Honors, Fall 2018

Final Exam Solutions, MAC 3474 Calculus 3 Honors, Fall 2018 Finl xm olutions, MA 3474 lculus 3 Honors, Fll 28. Find the re of the prt of the sddle surfce z xy/ tht lies inside the cylinder x 2 + y 2 2 in the first positive) octnt; is positive constnt. olution:

More information

ITERATED MODULAR SYMBOLS. Iterated modular symbols. 1, if n = p k a n = 0, otherwise. 1 e. n s

ITERATED MODULAR SYMBOLS. Iterated modular symbols. 1, if n = p k a n = 0, otherwise. 1 e. n s ITERATED MODULAR SYMBOLS YURI MANIN or Clssicl modulr symbols Multiple zet vlues Iterted modulr symbols 1. Arithmetic functions nd Dirichlet series An rithmetic function is sequence ( n ) n 1 : e.g., n

More information

Numerical Methods I Orthogonal Polynomials

Numerical Methods I Orthogonal Polynomials Numericl Methods I Orthogonl Polynomils Aleksndr Donev Cournt Institute, NYU 1 donev@cournt.nyu.edu 1 MATH-GA 2011.003 / CSCI-GA 2945.003, Fll 2014 Nov 6th, 2014 A. Donev (Cournt Institute) Lecture IX

More information

Matrix Solution to Linear Equations and Markov Chains

Matrix Solution to Linear Equations and Markov Chains Trding Systems nd Methods, Fifth Edition By Perry J. Kufmn Copyright 2005, 2013 by Perry J. Kufmn APPENDIX 2 Mtrix Solution to Liner Equtions nd Mrkov Chins DIRECT SOLUTION AND CONVERGENCE METHOD Before

More information

Approximation of functions belonging to the class L p (ω) β by linear operators

Approximation of functions belonging to the class L p (ω) β by linear operators ACTA ET COMMENTATIONES UNIVERSITATIS TARTUENSIS DE MATHEMATICA Volume 3, 9, Approximtion of functions belonging to the clss L p ω) β by liner opertors W lodzimierz Lenski nd Bogdn Szl Abstrct. We prove

More information

Instantons associated with Euclidean D2 configurations. The framework is very geometric. CFT techique to write vertex operators.

Instantons associated with Euclidean D2 configurations. The framework is very geometric. CFT techique to write vertex operators. Effects of D-instntons prticle physics Instntons ssocited with Eucliden D configurtions. The frmework is very geometric. CFT techique to write vertex opertors. 1. Quntiztion of physicl sttes in intersecting

More information