F b e a lpha. α n z n. n. ±n>0

Size: px
Start display at page:

Download "F b e a lpha. α n z n. n. ±n>0"

Transcription

1 APPENDIX A: THE VERTEX ALGEBRA OF AN INTEGRAL LATTICE. In this section we generalise the vertex operator construction found for fermions and ŝl 2 at level 1, to any integral lattice. Let X = R N be Euclidean space with the usual inner product and let Λ be an integral lattice in X, i.e. a subgroup isomorphic to Z m with m N and such that (α, β) Z for α, β Λ. As before, we say Λ is even if (α, α) is even for each α Λ. Setting B(α, β) = ( 1) (α,β) we can find a normalised cocycle ε(α, β) such that B(α, β) = ε(α, β)ε(β, α). The corresponding cocycle representation on l 2 (Λ), with orthonormal basis (e α ), is defined by U α e β = e α+β ε(α, β). We have U α+β = ε(α, β)u α U β and U β U α = B(α, β)u α U β. Let C[Λ] be the subspace of l 2 (Λ) spanned by the e α s. There is a bosonic system associated to X, namely operators v n depending linearly on v X such that [v m, u n ] = m(v, u)δ m+n,0 I. As usual we have the derivation d with [d, v n ] = nv n. Taking an orthonormal basis of V, this gives n commuting families of bosonic operators (a n ) each satisfying [a m, a n ] = mδ m+n,0 I. Since each has a unique positive energy vacuum representation with a 0 = 0, so too does their direct sum. It is just the tensor product of the N individual vacuum representations. It is uniquely characterised by the existence of a vacuum vector Ω with v n Ω = 0 for n 0. As usual v n = v n. We denote it by F b. Let V = F b C[Λ) = α Λ F b e a lpha. The operators v n for n 0 act on F b e α exactly as they act on F b, The operators v 0 acts scalars on F b e α, v n (ξ e α ) = (v n ξ) e α. v 0 (ξ e α ) = (v, α)ξ e α. For each v V we thus have a field v(z) = v n z n 1. Clearly v(z)u(w) = u(w)v(z) and the matrix coefficients lie in R from the computations in the previous section. For each α Λ we define where Φ α (z) = U α z α0 E + (α, z)e (α, z), E ± (α, z) = exp ±n>0 α n z n. n We wish to check the locality relations between different Φ α (z) s and between the Φ α (z) and v(z) s, We begin by noting that the vertex operators Φ α (z) satisfy the Fubini Veneziano relations for the operator L n given by the direst sum of the Virasoro operators constructed from the N commuting bosons. In addition [v n, Φ α (z)] = (v, α)z n Φ α (z). We shall also need the following result to compute two point functions. Lemma. If A and B are formal power series of operators in z and w 1 such that C = [A, B] is a multiple of the identity operator, then e A e B = e C e B e A. Proof. By a previous lemma, [e A, B] = Ce A so that e A Be A = B + C. Hence e A e B e A = expe A Be A = e B+C = e C e B. Corollary. E + (α, z)e (β, w) = (1 w/z) (α,β) E (β, w)e + (α, z). 1

2 Proof. Let A = n>0 α nz n /n and B = n<0 β nw n /n. Then C = [A, B] = (α, β) n>0 z n w n /n = (α, β)log(1 w z ), so that e C = exp (α, β)log(1 w z ) = (1 w z ) (α,β). Theorem. The operators Φ α (z) and v(z) generate a vertex algebra on V. Proof. Only the locality conditions need to checked. We start by showing that (X(z)E α (w)ω, Ω) and (E α (w)x(z)ω, Ω) define the same rational function in R. In fact note that Then we have on the one hand (v(z)φ α (w)ω e β, Ω e α+β ) = µ + n>0 (E α (z)ω e β, Ω e α+β ) = 1. (a n E α (w)ω, Ω)z n 1 = µ + n>0 αw n z n 1 = µ + α w z 2 (1 w z ) 1, while on the other hand (Φ α (w)v(z)ω e β, Ω e α+β ) = µ + n>0(e α (w)a n Ω, Ω)z n 1 = µ α w n z n 1 = µ αw 1 (1 z/w) 1. In view of the formulas for the commutators [u m, v(z)] and [u m, Φ α (z)] for u X, the two point functions define the same function in R and hence Φ α (z) and v(z) are mutually local. Next we check that, if α + β + γ = δ, then (Φ α (z)φ β (w)ω e γ, Ω e δ ) = ε(α, β)ε(α + β, γ)(z w) (α,β) z (α+β,γ). (1) For these lowest energy vectors, this gives the locality relation between the operators Φ α (z) and Φ β (z), with a sign ( 1) (α,β), since ε(α, β)ε(β, α) = ( 1) (α,β). As before we can derive the general locality relation by inserting operators u m using their commutation relations with the vertex operators. To prove (1), we write (Φ α (z)φ β (w)ω e γ, Ω e δ ) = (U α z α0 E (α, z)e + (α, z)u β w β0 E (β, w)e + (β, w)ω e γ, Ω e δ ) = ε(α, β)(1 w/z) (α,β) z (α,β) (U α+β z α0+β0 E (α, z)e (β, w)e + (α, z)e + (β, w)ω e γ, Ω e δ ) = ε(α, β)ε(α + β, γ)(1 w/z) (α,β) z (α,β) z (α+β,γ). In the section on vertex operators, we already proved the Funibi Veneziano relations: [L 1, Φ α ] = dφ α dz, [L 0, Φ α ] = z dφ α dz + α 2 2 Φ alpha. We derive here the operator product expansion for Φ α (z)φ β (w) in the case root vectors using the vertex algebra formalism. Proposition. (a) Φ α (z)φ β (w) 0 if α, β are roots and α + β is not a root. (b) Φ α (z)φ β (w) ε(α, β)(z w) 1 Φ α+β (w) if α + β is a root. (c) Φ α (z)φ α (w) (z w) 2 + (z w) 1 α(w). Proof. We have On the other hand Φ α (z)φ β (w) = V (Φ α (z w)ω e β, w). Φ α (z)ω e β = ε(α, β)z (α,β) (1 + α( 1)z + )Ω e α+β. 2

3 This has no singular terms if (α, β) 0. If (α, β) = 1, it has a singular term εω e α+β corresponding to the operator ε(α, β)φ α+β (w) if α + β is a root. When β = α, we get the identity operator and V (α( 1)Ω e 0, z) = α(z). Remark. Note that in lattice vertex algebra, the vectors e α Ω are singular vectors of energy α 2 /2. So the corresponding fields Φ α (z) = V (e α Ω, z) are primary fields of conformal dimension h = α 2 /2. Examples. (a) Complex fermions correspond to the lattice Z R. (b) ŝl 2 at level one corresponds to the lattice 2Z R. This is because E(z) = ψ(z) φ(z) and F(z) = φ(z) ψ(z) are clearly vertex operators constructed using the bosonic fields H(z) = X(z) I I X(z). The vertex algebra is the corresponding to the sublattice {(n, n) n Z} of Z 2. (c) Any time we get a vertex algebra containing a Virasoro field T(z), we can take the vertex subalgebra generated by the single field T(z). There is also a coset or centraliser construction (see below). (d) The A,D,E lattices give vertex algebras corresponding to affine Kac Moody algebras. Taking the operators X(0) for X V and Φ α (0) for α 2 = 2, the commutation relations can be worked out directly from the either the Fubini Veneziano relation or the Borcherds commutation relations coming from the OPE. This gives a different way of exhibiting these simple Lie algebras directly as operators and the commutators as genuine commutators. APPENDIX B: THE KAC DETERMINANT FORMULA. Using the Poincaré Birkhoff Witt theorem we can construct a Verma module V (c, h) which is a largest possible representation of the Virasoro algebra with central charge c, generated by a cyclic vector ξ 0 such that L n ξ = 0 for n > 0 and L 0 ξ = hξ. It has the universal property that, for any representation generated by a cyclic vector satisfying similar relations, there is unique equivariant map sending ξ 0 to the cyclic vector. A basis of the Verma module is given by monomials in the raising operators L n k k Ln2 2 Ln1 1 ξ 0, where n i 0. Clearly the Verma module is a positive energy representation. We now assume that c and h are real. Let f : V (c, h) C be the linear map picking out the coefficient of ξ 0 and extend the involution L n = L n to a complex involution on the universal enveloping algebra, so that (AB) = B A. We can then define a hermitian form on V (c, h) by (Aξ 0, Bξ 0 ) = f(b Aξ 0 ). By definition it satisfies the invariance condition (L n ξ, η) = (ξ, L n η). Since L 0 = L 0, the eigenspaces of L 0 are orthogonal. Moreover (, ) is the unique invariant hermitian form on V (c, h) with (ξ 0, ξ 0 ) = 1: for the orthogonality conditions force (Aξ 0, Bξ 0 ) = (B Aξ 0, ξ 0 ) = f(b A). In particular if L(c, h) is a unitary irreducible representation and T : V (c, h) L(c, h) is the canonical map, then the invariant hermitian form on V (c, h) is just the pull back of the inner product on L(c, h). Let K = {ξ V (c, h) (ξ, V (c, h)) = 0}. Then K is invariant under the Virasoro algebra and the hermitian form passes to a non degenerate invariant hermitian form on L = V (h, c)/k. Since K is invariant under L 0, L is itself a positive energy representation. We claim that L is irreducible. In fact let L be a submodule of L and let v 0 be the image of ξ 0 in L. L can be written as the direct sum of eigenspaces L 0. Choose v 0 in L, the image of Aξ 0. Thus (Aξ 0, Bξ 0 ) 0 for some monomial B, by nondegeneracy. Hence (B Av, v 0 ) 0. But then L (0) 0, so that v 0 lies in L and thus L = L. It follows that the Verma module V (c, h) is irreducible iff (, ) is non degenerate. In particular this happens iff (, ) is non degenerate on every energy subspace V (N). Let M N (c, h) be the P(N) P(N) matrix (L ip L i1 ξ 0, L jq L j1 ξ 0 ) where 1 i 1 i p and 1 j 1 j q with N = i s = j t. The Kac determinant det N (c, h) is the determinant of this matrix. Note that L(c, h) is unitary iff M N (c, h) is positive semi definite for all N. In this case, it is is necessary that det N (c, h) 0 for all N. Using raising and lowering operators to compute the entries of M N (c, h), we see that they are all polynomials in c and h if c, h R. Examples. (0) det 0 (x, h) = ξ 0 2 = 1. (1) det 1 (c, h) = (L 1 ξ 0, L 1 ξ 0 ) = 2h. 3

4 ( ) 4h + c/2 6h (2) det 2 (c, h) = 6h 8h 2 = 2h(16h + 4h 2 + 2hc 10h + c). Lemma. If L(c, h) is unitary, then h 0 and c 0. Proof. The computation of det 1 = 2h shows that h 0. Now for n > 0 we compute L n ξ 0 2 = ([L n, L n ]ξ 0, ξ 0 ) = 2nh + c(n 3 n)/12. For this to be positive for all values of n, we must have c 0. Proposition. For fixed c, det N is a polynomial in h of degree 1 rs N p(n rs). (The coefficient of the highest power of h is independent of c.) Proof. We prove the result by degenerating to bosons. For c fixed, let h = t 2 and a 0 = h 1 L 0, a n = (2h) 1/2 L n. Thus a 0 ξ 0 = ξ 0, [a m, a m ] = ma 0 +t 2 c(m 3 m)/12 and [a m, a n ] = (m n)ta m+n if m n, 0, [a 0, a m ] = mt 2 a m. Moreover a n = a n. If we look at monomials (a ip a i1 ξ 0, a jq a j1 ξ 0 ), these are polynomials in t. We extend these to t = 0; this obviously gives the leading order terms in h in the original problem. In the limit t = 0, we get the system of oscillators a 0 = I, [a m, a m ] = mi. For this bosonic system it is immediate that x = (a mp p am1 1 ξ 0, a nq q an1 1 ξ 0) is zero unless m s = n s for all s, in which case x = m s!s ms. This is independent of c. If we substitute these terms into the determinant for det N, we see that the off diagonal terms vanish when t = 0, so the determinant is given by the product of the diagonal entries, all non zero. Thus lim h h M det N 0 is indepedent of c, where M is the sum of all j k s with j k k = N. Let m(r, s) be the number of partitions of N in which r appears exactly s times. Cearly M = 1 rs N s m(r, s). Now the number of partitions of N in which r appears s times is P(N rs). Thus m(r, s) = P(N rs) P(N r(s + 1)) (where P(0) = 1 and P( k) = 0 for k > 0). Thus M = s m(r, s) = [ n r ] s (P(n rs) P(n r(s + 1)) = s=1 1 rs N P(N rs). Since h M is evidently the highest power of h with a non zero coefficient in det N, the result follows. Definitions. Let h p,q (c) = 1 48 [(13 c)(p2 + q 2 ) + (c 1)(c 25)(p 2 q 2 ) 24pq 2 + 2c]. Set ϕ p,p (c, h) = h h p,p (c) = h + (p 2 1)(c 1)/24 and ϕ p,q (c, h) = (h h p,q (c))(h h q,p (c)) = (h (p q) 2 /4) 2 + h 24 (p2 + q 2 2)(c 1) (p2 1)(q 2 1)(c 1) (c 1)(p q)2 (pq + 1). ( ) If we parametrise c as c = 1 6/m(m + 1), then h p,q (c) = ((m + 1)p mq)2 1. 4m(m + 1) Kac determinant formula. det N (c, h) = C N 1 rs N (h h rs(c)) P(N rs), where C N > 0 is independent of c and h. Lemma 1. If t A(t) is a polynomial mapping into N N matrices and dimkera(t 0 ) = k, then (t t 0 ) k divides det A(t). Proof. Take a basis v i such that A(t 0 )v i = 0 for i = 1,...,k. Thus the first k columns of A(t) are divisible by t t 0 and hence (t t 0 ) k divides deta(t). 4

5 Lemma 2. Fix c and regard det N (c, h) as a polynomial in h. If det k vanishes at h = h 0, then (h h 0 ) P(N k) divides det N. Proof. We may take k minimal subject to det k (c, h 0 ) = 0. Thus V (c, h 0 ) has a singular vector v at energy level k. By the Poincaré Birkhoff Witt theorem, the vectors L it L i1 v are all linearly independent for i t i 1 1. So at level N, this submodule has dimension P(N k). On the other hand this submodule is contained in ther kernel of (, ). Thus M N has a kernel of dimension at least P(N k) at h 0. The assertion therefore follows from Lemma 1. Lemma 3. det N vanishes at h r,s (c) for 1 rs N. Proof. By the GKO construction, ch L(c (m), h (m) r,s ) qh ϕ(q) (1 qrs q r s + ), where r = m r, s = m + 1 s and the inequality is to be understood in terms of coefficients of q i. It follows that the kernel of (, ) in V (c, h) has a non zero component at each energy level N min(rs, r s ). Thus det N vanishes at h (m) rs for m sufficiently large. But then det N vanishes at infinitely many points of the curve ϕ rs (c, h) = 0 (namely (c (m), h (m) r,s )). Since ϕ r,s (c, h) is irreducible in C[c, h], we see that ϕ r,s divides det N for N rs. Thus det N vanishes at h r,s (c) for 1 rs N. Proof of determinant formula (Kac Wakimoto). By Lemmas 2 and 3, det N is divisible by (h h p,q (c)) P(N pq), 1 pq N since the h p,q (c) s are distinct for generic c. Since both sides have the same degree in h and the highest order term in h is indepedent of c (by the Proposition), the result follows. Corollary. (a) For c > 1 and h 0 all L(c, h) are unitary and the Verma modules M(c, h) are irreducible. (b) For c = 1 all L(c, h) with h 0 are unitary. In this case det M pq N (h (p q)2 /4) P (N pq). If h k 2 with k a non negative half integer, then M(c, h) is irreducible. Otherwise if h = k 2, then L(1, h) occurs in the sl 2 multiplicity space of a level one representation of ŝl 2 and M(c, h) is not irreducible. APPENDIX C. THE FRIEDAN QIU SHENKER UNITARITY CRITERION. We prove the easy part of the FQS criterion for unitarity, putting restrictions only on h for 0 < c < 1. FQS Theorem. Let L(c, h) be a unitary representation of the Virasoro algebra with c = 1 6/m(m + 1) for m 3. Then h = h p,q with 1 q p m 1 and h p,q = [(p(m + 1) qm) 2 1]/4m(m + 1). Proof. The factors that appear in the Kac determinant formula the form ϕ p,q (c, h) = (h h p,q (c))(h h q,p (c)) and ϕ p,p (c, h) = h h p,p (c). These define curves C p,q in the region 0 c 1 and h 0. For φ p,p, the curve is a straight line through (1, 0) that intersects the h axis at (p 2 1)/24. The curve defined by ϕ p,q (c, h) = 0 touches the line c = 1 at h = (p q) 2 /4 and is parametrised by a real variable m in c = 1 6/m(m + 1), h p,q (c) = ((m + 1)p mq)2 1. 4m(m + 1) These parametrisations show that the φ p,q is strictly positive when c > 1 and h 0, since m(m + 1) < 0 and the values of h p,q and h q,p are then complex conjugates with non zero imaginary part. If we use the variable x = m + 1/2 to parametrise the curve, then c = 1 6/(x ), h p,q(c) = [(x(p q) (p + q))2 1]/(4x 2 1). This parametrisation applies equally well when p = q. The figure below shows the possible curves schematically (with a rescaling in the h direction). 5

6 The first curve in the picture corresponds to the degenerate case p = q and cuts the h axis at (p 2 1)/24. The factor ϕ p,q appears in det N for the first time when N = pq, i.e. at level N. Each curve has an interior where φ p,q (c, h) < 0 which we denote U p,q, an open subset of the strip [0, 1] [0, ). Its closure is compact and connected. Let X N = pq N U p,q. We will show that thia is the region bounded a explicit sequence of pieces of the curves C p,q as depicted schematically in the diagram below, with the h direction rescaled to make the special points equally spaced on the line c = 1. Fixing a level N, at each of the points M 2 /4 M = 0, 1, 2,..., N 1 we can pick out curves C pq that touch the line c = 1 at that point of highest possible level. In this case pq M < (p+1)(q +1). The highest level curve through the special point with (1, (M +1) 2 /4 is C p+1,q if (p+1)q N and C p,q 1 otherwise. The highest level curve (1, (M 1) 2 /4 is C p,q+1 if p(q + 1) N and C p 1,q otherwise. Note that if p(q + 1) > N then necessarily (p + 1)q > N since p q, so that for are are at most three possibilities for the highest level curves through the two adjacent special points. In particular if a highest curve through a special point has level N, then the highest level curves through the adjacent points have level < N. We consider the piecewise smooth curve formed by the axes and the segments between the highest level curves through the special points M 2 /4 at level N. These bound a region X N. Proposition. X N = X N. Proof. We assume the result by induction on N. 6

7 At level N when a new curve is added at a point M 2 /4 either it is at the top end through (1, (N 1) 2 /4) and forms a curved strip as shown in the diagram; or it interects the two adjacent curved parts of the boundary, forming a shape like a bow tie. In fact it is easy check that the upper part of C N,1 does not intersect any of the other curves of level N in the strip. Moreover for the other upper and lower parts of the curves at level N, including the lower of C N,1, it is easy to check that they first meet the curved part of the boundary of X N 1 at a point on the curve through the adjacent point (M ± 1) 2 /4 and have no further intersections with the curved part of the boundary. Proof of FQS Theorem. We first prove that for fixed c (0, 1) with c = 1 6/m(m + 1), the only values of h for which L(c, h) can be unitary are the h (m) p,q with p, q 1 and p + q m. At level N define the Nth excluded region R N as being the open set where det n is negative for some n N. We claim that RN = {(c (m), h (m) p,q ) : m > p + q 1}. Note first that every point (c, h) with 0 < c < 1 and h > 0 lies in the interior of one of the curves C p,q for pq sufficiently large. Indeed the regions U p,p sweep out the region since the point of intersection of C p,p with the h axis is at (p 2 1)/4, and thus tends to infinity. We shall prove that the only parts of X N that might not lie in R N are the new parts of the boundary added at level N. It is easy to check that if the piece of the boundary formed by C p,q with pq = N corresponds to values of the parameter x with x > p + q 1/2. In fact the functions det N do not vanish for c > 1 and therefore have the same sign. Since the Segal Sugawara construction gives positive values for all N, it follows that det N is positive for all c > 1, h > 0 and N 0. Hence if p q, near (1, (p q) 2 /4), det N is positive for c > 1. Thus on one side of the curve C p,q near (1, (p q) 2 /4), det N is positive. Note that near (1, (p q) 2 /4), the function det N changes sign as C p,q is crossed, because at the Nth stage h p,q is a simple zero of det N. We can therefore exclude the interior of the new part of the region at the level N, so only the boundary curves remain, where det N vanishes. Thus we have shown that the only possible points of unitarity in h > 0 and c (0, 1) have h = h (m) p,q with p + q < m + 1, except possibly for points added on the boundary of the strip formed by C N,1. A separate argument is required in that case, which is simple version of the arguments used to prove restrictions on c. Lemma. For h 0 and c > 0, the number of negative eigenvalues of the matrix of inner products M N (c, h) is non decreasing as N increases. Proof (Kac). Let e = L 1 and f = L 1 and h = [e, f] = 2L 0. Thus e = f, h = h, [h, e] = 2e and [h, f] = 2f. The representation on V (h, c) is positive energy, so breaks up as a direct sum of orthogonal irreducible modules for this Lie algebra, with respect to the invariant hermitian form. each generated by a lowest energy vector v i with L 0 v i = h i v i. On any module the form is either positive definite, negative definite or zero. Unless v i is a vacuum vector (h = 0), each module is infinite dimensional with a basis given by the vectors L m 1 v i (m 0). A basis of vectors which contribute negative eigenvalues at level N is therefore formed of vectors L m 1v i with (v i, v i ) < 0 and m + h i = N. The result follows. We now use this lemma to rule out the part of C N,1 that lies in the interior of C N+1,1, i.e. the upper part of C N,1 with m > N. In the interior of strip formed between C N+1,1 and C N,1, the number of negative 7

8 eigenvalues of M N+1 (c, h) is at least one and det N+1 is negative. Crossing the boundary formed by C N,1 changes the sign of the determinant, so it is positive there. By the lemma, M N+1 (c, h) has at least one negative eigenvalue there. So positivity of the determinant implies it has at least two negative eigenvalues there. Taking a sequence of point tending to h N,1 (c) and unit orthogonal eigenvectors there for the two negative eigenvalues, using compactness it follows that M N+1 (c, h) has two orthogonal eigenvectors with non positive eigenvalues. On the other hand, for c fixed, h N,1 (c) is a simple root of det N (c, h), so that 0 is an eigenvalue of M N+1,1 (c, h) of multiplicity one at h = h N,1 (c). Hence M N+1 (h, c) has a negative eigenvalue there, as required. Finally we specialise to the case when m 3 is an integer. We have shown that if L(c, h) is unitary then h = h (m) p,q = [(p(m + 1) qm) 2 1]/4m(m + 1) with p, q 1 and p + q m. We want to show that h = h (m) rs with 1 s r m 1. Note that since p, q 1 and p + q m, we have p, q m 1. If p q, we take r = p, s = q. Otherwise q p Let p = m p and q = m + 1 q. Then h (m) pq = h (m) p,q and 1 q p m 1. so in this case we may take r = p, s = q. This completes the proof of the FQS theorem. Corollary. For c = 1 6/m(m + 1) with m 3, the values of h from which L(c, h) is unitary are given by h = h r,s = [(r(m + 1) sm) 2 1]/4m(m + 1) with 1 s r m 1. We next prove the complete version of the Friedan Qiu Shenker unitarity theorem. Theorem (Friedan Qiu Shenker). If 0 < c < 1, then a representation with central charge c is unitary iff c = 1 6/m(m + 1) with m 3. Remark. From Section 10, the permitted values of h for a particular m 3 are h p,q (m) with 1 q p m 1. We already know that any point not on a curve C p,q cannot be unitary. The points h p,q (m) are precisely the points of the boundaries of the regions X N where the adjacent curves C p,q intersect. Each intersection P may be described by first choosing a curve C p,q with P C p,q and pq minimal and then choosinf C p,q with P C p,q and p q minimal. It is easy to check that these intersections are obtained by taking p = p + k, q = q +k for k 1 and m = p+q +k 1. We now rule out all the points between these intersection points. Note that every curve C p,q touches c = 1 at h = (p q) 2 /4. Thus if C p,q intersects C p,q, then the part of C p,q on the c < 1 side of C p,q is the part with h decreasing if h < h and h increasing if h > h. Take a point P 0 on C p,q corresponding to p, q as above. Let N = pq < N = p q. Starting from the asymptote at c = 1 through (p q ) 2 /4, we may follows the C p,q curve as it travels to P 0 C p,q. We get a stright line parametrisation of C p,q by taking y = m as coordinate. Along the way to P 0, the curve will cross other curves C p,q transversely and simply at points P 1,...,P k. At level N, the dimension of the null space is 1 on C p,q away from the intersection points. Near the asymptote on the c > 1 side of C p,q, the matrix of inner products A(c, h) is positive definite. We shall find a open neighbourhood U of the part of the curve C p,q above P 0 (containing P 1,...,P k and part of the asymptote to c = 1) and a rank one spectral projection P(c, h) of A(c, h) in this strip depending continuously on (c, h) such that P(c, h)a(c, h) = λ(c, h)p(c, h) with λ(c, h) = 0 only on C p,q. It will follow that λ(c, h) < 0 on the c < 1 side of C p,q. In particular A(c, h) will have a negative eigenvalue on C p,q in the segment between P 0 and the next intersection. This clearly will prove the unitarity theorem. Using m as parameter, we can replace the curve C p,q by the y axis. The following result (with M = 1) shows the existence and uniqueness of the spectral projection P(z) for z in an open neighbourhood of the y axis with z P i. (This open neighbourhood should of course contain P 0,...,P k.) Lemma 1. Let A(z) be a continuous self adjoint matrix valued function on a topological space Z such that ker(a(z)) has constant rank 1 (or rank M more generally) for z Z 0, a closed subset of Z, and is invertible otherwise. For each z Z 0, there is an open neigbourhood U of z such that if P(z) is the orthogonal projection onto (Mth) the lowest eigenspace(s) of A(z) 2, then z P(z) is continuous on U. If Z is an open subset of R n and A(z) is a smooth (or analytic) function of z, then z P(z) is also smooth (or analytic) on U. 8

9 Proof. Take z Z 0. By minimax there is a neighbourhood U of z such that the lowest eigenvalue of A(t) 2 is less than r/2 and the next eigenvalue is greater than are greater than 2r > 0. Let χ be a continuous bump function supported in ( r, r) with χ(0) = 1. Then P(z) = χ(a(z) 2 ) for t U, since the only the lowest eigenvalue of A(z) occurs in ( r, r). Since χ can uniformly approximated by polynomials on any compact interval, it follows that z A(z) is continuous on U. The second assertion follows immediately from the contour integral expression for the spectral projection P(z): P(z) = 1 (wi A(z)) 1 dw. 2πi w =ε Corollary. There is an open subset U of Z containing Z 0 on which P(z) can be defined (uniquely). Proof. Take an open neighbourhood U z for each point z Z 0 and set U = z Z 0 U z. By uniqueness the different P(z) s must agree on intersections of these opens. We next need to use information from the Kac character formula to continue P(z) across the points P i. We simply have to define P(z) in an open neighbourhood of each point P i. Since the intersection at P i is transverse, we may assume that the transverse curve is the x axis and P = P i corresponds to the point (0, 0). Proposition. In an open neighbourhood of P = P i there are (a) a unique continuous determination of a rank one projection P(z) such that P(z) is a spectral projection of A(z) coinciding with the projection onto the kernel of A(z) for (0, y) with y 0. (b) a unique continuous determination of a rank m projection Q(x) on y = 0 such that Q(x) is the spectral projection onto the kernel of A(x, 0). Moreover P and Q are orthogonal on y = 0 and P(0) + Q(0) is the projection onto the kernel of A(0, 0). Proof. Note that Q(z) could be constructed on y = 0, x 0 using the method of the previous lemma. We need a variant of this construction. Let C = C p,q and let the transverse curve be C = C p,q with N = p q < N. The kernel of M N is rank one on C. We choose parameters such that P = (0, 0), C is the y axis and C the x axis. As in the previous lemma, let R(z) be a smooth or analytic determination of a spectral subspace of M N (z) giving the kernel on y = 0. Let u(z) = R(z)u 0 / R(z)u 0 be a smooth or analytic choice of eigenvector near z = 0. Define vectors u j (z) = L j1 L jr u(z) at level N for ji = N N. There are P(N N ) such vectors and they form a basis of A(z) for z = (x, 0) with x 0. The Gram schmidt orthonormalisation process shows that the orthogonal projection Q(z) onto the subspace spanned by the u j (z) s is smooth or analytic. Thus Q(z) is a projection of rank P(N N ) defined in a neighbourhood of 0. Note that Q(z) is a spectral projection of A(z) for y = 0, x 0, but not necessarily otherwise. Let B(z) = Q(z)A(z)Q(z) considered as a self adjoint operator on im(q(z)). Since im(q(x, 0)) ker(a(x, 0)), we must have B(x, 0) = 0. Hence B(x, y) = yb 0 (x, y) where B 0 is smooth or analytic. The next lemma shows that B 0 (0) is invertible. Lemma 2. detb 0 (0) 0. Proof. We claim that detm N (c, h + pq) 0 where N = N N. In fact if the determinant vanished, (c, N + pq) would have to lie on some C rs with rs N = pq p q. Thus By assumption p = q 1 + k, q = p + k for some k 1. Hence (m + 1)p + mq = ±[(m + 1)r ms]. (1) rs p q pq = m(m + 1) (m + 1)p mq. (2) Combining (1) and (2) yields rs ± (m + 1)r ms) m(m + 1), so that (r ± m)(s (m + 1)) 0. Since 1 r, s m, it follows that r = m or s = m + 1 and equality holds in (2). Reducing modulo m or m + 1, we deduce that p = m or q = m + 1, neither of which is compatible with m = p + q + k 1. Thus the claim holds. 9

10 Let u(x) be the null vector at level N and as above extend u to u(z). Since the submodule generated by u(z) is isomorphic to the Verma module M(c, h + pq), the corresponding matrix of inner products is ψ(z) M N N where ψ(z) = (u(z), u(z)). But ψ(x, 0) = 0, so that y ψ(x, y). From the Kac determinant formula, detm N (x, y) = yf(x, y) with f(0) 0. Hence ψ(z) = yg(z) with g(0) 0. But then detb(z) = (u(z), u(z)) P(N N ) h(z) where h(0) 0. Thus y P(N N ) is the highest power of y dividing det B(z). Since B(z) = yb 0 (z), we must have det B 0 (0) 0, as required. By continuity we deduce that B 0 (z) is invertible (possibly by shrinking the neighbourhood of 0). With ( respect to the orthogonal ) decomposition corresponding to I = Q(z) ( (I Q(z)), we) may write A(z) = B(z) C(z) yb0 (z) yc C(z). As above we have C(z) = yc D(z) 0 (z), so that A(z) = 0 (z) yc 0 (z). We have already ( ) D(z) a seen that B 0 (z) is invertible. If we try to solve A(z)v = 0 with v =, we find a = B 1 b 0 C 0b and (D yc B 1 C)b = 0. Looking at the kernel at (0, 0), we see that D(0, 0) has one dimensional kernel. Likewise D(0, y) has one dimensional kernel for y 0. On the other hand D(x, y) must have zero kernel for x 0. Thus we may define P(z) near z = 0 as the spectral projection of F(z) = D yc B 1 B corresponding to the lowest eigenvalue, just as in Lemma 1. By definition F(z) and hence P(z) is orthogonal to Q(z) on the x axis. By construction P(z) and Q(z) have all the required properties. Remark. Recall that if P and Q are orthogonal projections with P Q < 1/2, then T = PQ+(I P)(I Q) satisfies check that T I < 1 and PT = TQ. Thus T is an invertible operator conjugating P into Q. Since TT commutes with P, U = (TT ) 1/2 T gives a unitary such that UQU = P. This means that on a sufficiently small neighbourhood of 0 the projections (I Q(z)) can be identified using a unitary gauge change. This is not true for self adjoint maps A(z)! Corollary. The rank one projection valued function P(z) can be defined on a neighbourhood of the C p,q containing the points P 0,..., P k. It is continuous and satisfies P(z)A(z) = A(z)P(z) = λ(z)p(z) with λ(z) = 0 iff z C p,q. λ(z) < 0 on the c < 1 side of C p,q. Proof. These first part follows taking the open to be a (finite) union of neighbourhoods of the P i s and fintely many other points on C p,q. For c near 1, the matrix M N (c, h) is positive definite on the c > 1 side of C p,q, invertible off C p,q and has one dimensional kernel on C p,q. On the other hand detm N < 0 on the c < 1 side of C p,q. By minimax, at most one eiegenvalue of A(z) can change sign crossing C p,q. The determinant condition therefore implies that it is the lowest eigenvalue of A that changes sign. (This evidently corresponds to the lowest eigenvalue of A 2.) Thus λ(z) < 0 on the c < 1 side of C p,q. Since λ(z) is real and non zero on the c < 1 side of C p,q, the last assertion follows. This last corollary completes the proof of the unitarity theorem. 10

1 Unitary representations of the Virasoro algebra

1 Unitary representations of the Virasoro algebra Week 5 Reading material from the books Polchinski, Chapter 2, 15 Becker, Becker, Schwartz, Chapter 3 Ginspargs lectures, Chapters 3, 4 1 Unitary representations of the Virasoro algebra Now that we have

More information

SPRING 2006 PRELIMINARY EXAMINATION SOLUTIONS

SPRING 2006 PRELIMINARY EXAMINATION SOLUTIONS SPRING 006 PRELIMINARY EXAMINATION SOLUTIONS 1A. Let G be the subgroup of the free abelian group Z 4 consisting of all integer vectors (x, y, z, w) such that x + 3y + 5z + 7w = 0. (a) Determine a linearly

More information

Linear Algebra- Final Exam Review

Linear Algebra- Final Exam Review Linear Algebra- Final Exam Review. Let A be invertible. Show that, if v, v, v 3 are linearly independent vectors, so are Av, Av, Av 3. NOTE: It should be clear from your answer that you know the definition.

More information

SYMPLECTIC GEOMETRY: LECTURE 5

SYMPLECTIC GEOMETRY: LECTURE 5 SYMPLECTIC GEOMETRY: LECTURE 5 LIAT KESSLER Let (M, ω) be a connected compact symplectic manifold, T a torus, T M M a Hamiltonian action of T on M, and Φ: M t the assoaciated moment map. Theorem 0.1 (The

More information

Linear Algebra. Min Yan

Linear Algebra. Min Yan Linear Algebra Min Yan January 2, 2018 2 Contents 1 Vector Space 7 1.1 Definition................................. 7 1.1.1 Axioms of Vector Space..................... 7 1.1.2 Consequence of Axiom......................

More information

08a. Operators on Hilbert spaces. 1. Boundedness, continuity, operator norms

08a. Operators on Hilbert spaces. 1. Boundedness, continuity, operator norms (February 24, 2017) 08a. Operators on Hilbert spaces Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ [This document is http://www.math.umn.edu/ garrett/m/real/notes 2016-17/08a-ops

More information

Symmetric Jack polynomials and fractional level WZW models

Symmetric Jack polynomials and fractional level WZW models Symmetric Jack polynomials and fractional level WZW models David Ridout (and Simon Wood Department of Theoretical Physics & Mathematical Sciences Institute, Australian National University December 10,

More information

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product Chapter 4 Hilbert Spaces 4.1 Inner Product Spaces Inner Product Space. A complex vector space E is called an inner product space (or a pre-hilbert space, or a unitary space) if there is a mapping (, )

More information

Math 350 Fall 2011 Notes about inner product spaces. In this notes we state and prove some important properties of inner product spaces.

Math 350 Fall 2011 Notes about inner product spaces. In this notes we state and prove some important properties of inner product spaces. Math 350 Fall 2011 Notes about inner product spaces In this notes we state and prove some important properties of inner product spaces. First, recall the dot product on R n : if x, y R n, say x = (x 1,...,

More information

z, w = z 1 w 1 + z 2 w 2 z, w 2 z 2 w 2. d([z], [w]) = 2 φ : P(C 2 ) \ [1 : 0] C ; [z 1 : z 2 ] z 1 z 2 ψ : P(C 2 ) \ [0 : 1] C ; [z 1 : z 2 ] z 2 z 1

z, w = z 1 w 1 + z 2 w 2 z, w 2 z 2 w 2. d([z], [w]) = 2 φ : P(C 2 ) \ [1 : 0] C ; [z 1 : z 2 ] z 1 z 2 ψ : P(C 2 ) \ [0 : 1] C ; [z 1 : z 2 ] z 2 z 1 3 3 THE RIEMANN SPHERE 31 Models for the Riemann Sphere One dimensional projective complex space P(C ) is the set of all one-dimensional subspaces of C If z = (z 1, z ) C \ 0 then we will denote by [z]

More information

Ir O D = D = ( ) Section 2.6 Example 1. (Bottom of page 119) dim(v ) = dim(l(v, W )) = dim(v ) dim(f ) = dim(v )

Ir O D = D = ( ) Section 2.6 Example 1. (Bottom of page 119) dim(v ) = dim(l(v, W )) = dim(v ) dim(f ) = dim(v ) Section 3.2 Theorem 3.6. Let A be an m n matrix of rank r. Then r m, r n, and, by means of a finite number of elementary row and column operations, A can be transformed into the matrix ( ) Ir O D = 1 O

More information

Elementary linear algebra

Elementary linear algebra Chapter 1 Elementary linear algebra 1.1 Vector spaces Vector spaces owe their importance to the fact that so many models arising in the solutions of specific problems turn out to be vector spaces. The

More information

e j = Ad(f i ) 1 2a ij/a ii

e j = Ad(f i ) 1 2a ij/a ii A characterization of generalized Kac-Moody algebras. J. Algebra 174, 1073-1079 (1995). Richard E. Borcherds, D.P.M.M.S., 16 Mill Lane, Cambridge CB2 1SB, England. Generalized Kac-Moody algebras can be

More information

MATHEMATICS 217 NOTES

MATHEMATICS 217 NOTES MATHEMATICS 27 NOTES PART I THE JORDAN CANONICAL FORM The characteristic polynomial of an n n matrix A is the polynomial χ A (λ) = det(λi A), a monic polynomial of degree n; a monic polynomial in the variable

More information

Since G is a compact Lie group, we can apply Schur orthogonality to see that G χ π (g) 2 dg =

Since G is a compact Lie group, we can apply Schur orthogonality to see that G χ π (g) 2 dg = Problem 1 Show that if π is an irreducible representation of a compact lie group G then π is also irreducible. Give an example of a G and π such that π = π, and another for which π π. Is this true for

More information

Highest-weight Theory: Verma Modules

Highest-weight Theory: Verma Modules Highest-weight Theory: Verma Modules Math G4344, Spring 2012 We will now turn to the problem of classifying and constructing all finitedimensional representations of a complex semi-simple Lie algebra (or,

More information

Lecture notes: Applied linear algebra Part 1. Version 2

Lecture notes: Applied linear algebra Part 1. Version 2 Lecture notes: Applied linear algebra Part 1. Version 2 Michael Karow Berlin University of Technology karow@math.tu-berlin.de October 2, 2008 1 Notation, basic notions and facts 1.1 Subspaces, range and

More information

1 Last time: least-squares problems

1 Last time: least-squares problems MATH Linear algebra (Fall 07) Lecture Last time: least-squares problems Definition. If A is an m n matrix and b R m, then a least-squares solution to the linear system Ax = b is a vector x R n such that

More information

Algebra Exam Topics. Updated August 2017

Algebra Exam Topics. Updated August 2017 Algebra Exam Topics Updated August 2017 Starting Fall 2017, the Masters Algebra Exam will have 14 questions. Of these students will answer the first 8 questions from Topics 1, 2, and 3. They then have

More information

Vertex operator algebras, minimal models, and modular linear differential equations of order 4

Vertex operator algebras, minimal models, and modular linear differential equations of order 4 Submitted to Journal of the Mathematical Society of Japan Vertex operator algebras, minimal models, and modular linear differential equations of order 4 By Yusuke Arike, Kiyokazu Nagatomo and Yuichi Sakai

More information

LINEAR ALGEBRA MICHAEL PENKAVA

LINEAR ALGEBRA MICHAEL PENKAVA LINEAR ALGEBRA MICHAEL PENKAVA 1. Linear Maps Definition 1.1. If V and W are vector spaces over the same field K, then a map λ : V W is called a linear map if it satisfies the two conditions below: (1)

More information

Representation Theory

Representation Theory Part II Year 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2018 Paper 1, Section II 19I 93 (a) Define the derived subgroup, G, of a finite group G. Show that if χ is a linear character

More information

Linear Algebra. Workbook

Linear Algebra. Workbook Linear Algebra Workbook Paul Yiu Department of Mathematics Florida Atlantic University Last Update: November 21 Student: Fall 2011 Checklist Name: A B C D E F F G H I J 1 2 3 4 5 6 7 8 9 10 xxx xxx xxx

More information

PRACTICE FINAL EXAM. why. If they are dependent, exhibit a linear dependence relation among them.

PRACTICE FINAL EXAM. why. If they are dependent, exhibit a linear dependence relation among them. Prof A Suciu MTH U37 LINEAR ALGEBRA Spring 2005 PRACTICE FINAL EXAM Are the following vectors independent or dependent? If they are independent, say why If they are dependent, exhibit a linear dependence

More information

Math 121 Homework 5: Notes on Selected Problems

Math 121 Homework 5: Notes on Selected Problems Math 121 Homework 5: Notes on Selected Problems 12.1.2. Let M be a module over the integral domain R. (a) Assume that M has rank n and that x 1,..., x n is any maximal set of linearly independent elements

More information

Math 210B. Artin Rees and completions

Math 210B. Artin Rees and completions Math 210B. Artin Rees and completions 1. Definitions and an example Let A be a ring, I an ideal, and M an A-module. In class we defined the I-adic completion of M to be M = lim M/I n M. We will soon show

More information

Problem 1A. Suppose that f is a continuous real function on [0, 1]. Prove that

Problem 1A. Suppose that f is a continuous real function on [0, 1]. Prove that Problem 1A. Suppose that f is a continuous real function on [, 1]. Prove that lim α α + x α 1 f(x)dx = f(). Solution: This is obvious for f a constant, so by subtracting f() from both sides we can assume

More information

Part II. Riemann Surfaces. Year

Part II. Riemann Surfaces. Year Part II Year 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2018 96 Paper 2, Section II 23F State the uniformisation theorem. List without proof the Riemann surfaces which are uniformised

More information

LECTURE VI: SELF-ADJOINT AND UNITARY OPERATORS MAT FALL 2006 PRINCETON UNIVERSITY

LECTURE VI: SELF-ADJOINT AND UNITARY OPERATORS MAT FALL 2006 PRINCETON UNIVERSITY LECTURE VI: SELF-ADJOINT AND UNITARY OPERATORS MAT 204 - FALL 2006 PRINCETON UNIVERSITY ALFONSO SORRENTINO 1 Adjoint of a linear operator Note: In these notes, V will denote a n-dimensional euclidean vector

More information

LECTURE 3: REPRESENTATION THEORY OF SL 2 (C) AND sl 2 (C)

LECTURE 3: REPRESENTATION THEORY OF SL 2 (C) AND sl 2 (C) LECTURE 3: REPRESENTATION THEORY OF SL 2 (C) AND sl 2 (C) IVAN LOSEV Introduction We proceed to studying the representation theory of algebraic groups and Lie algebras. Algebraic groups are the groups

More information

LECTURE 25-26: CARTAN S THEOREM OF MAXIMAL TORI. 1. Maximal Tori

LECTURE 25-26: CARTAN S THEOREM OF MAXIMAL TORI. 1. Maximal Tori LECTURE 25-26: CARTAN S THEOREM OF MAXIMAL TORI 1. Maximal Tori By a torus we mean a compact connected abelian Lie group, so a torus is a Lie group that is isomorphic to T n = R n /Z n. Definition 1.1.

More information

x i e i ) + Q(x n e n ) + ( i<n c ij x i x j

x i e i ) + Q(x n e n ) + ( i<n c ij x i x j Math 210A. Quadratic spaces over R 1. Algebraic preliminaries Let V be a finite free module over a nonzero commutative ring F. Recall that a quadratic form on V is a map Q : V F such that Q(cv) = c 2 Q(v)

More information

where m is the maximal ideal of O X,p. Note that m/m 2 is a vector space. Suppose that we are given a morphism

where m is the maximal ideal of O X,p. Note that m/m 2 is a vector space. Suppose that we are given a morphism 8. Smoothness and the Zariski tangent space We want to give an algebraic notion of the tangent space. In differential geometry, tangent vectors are equivalence classes of maps of intervals in R into the

More information

Real symmetric matrices/1. 1 Eigenvalues and eigenvectors

Real symmetric matrices/1. 1 Eigenvalues and eigenvectors Real symmetric matrices 1 Eigenvalues and eigenvectors We use the convention that vectors are row vectors and matrices act on the right. Let A be a square matrix with entries in a field F; suppose that

More information

REPRESENTATIONS OF U(N) CLASSIFICATION BY HIGHEST WEIGHTS NOTES FOR MATH 261, FALL 2001

REPRESENTATIONS OF U(N) CLASSIFICATION BY HIGHEST WEIGHTS NOTES FOR MATH 261, FALL 2001 9 REPRESENTATIONS OF U(N) CLASSIFICATION BY HIGHEST WEIGHTS NOTES FOR MATH 261, FALL 21 ALLEN KNUTSON 1 WEIGHT DIAGRAMS OF -REPRESENTATIONS Let be an -dimensional torus, ie a group isomorphic to The we

More information

ALGEBRA QUALIFYING EXAM PROBLEMS LINEAR ALGEBRA

ALGEBRA QUALIFYING EXAM PROBLEMS LINEAR ALGEBRA ALGEBRA QUALIFYING EXAM PROBLEMS LINEAR ALGEBRA Kent State University Department of Mathematical Sciences Compiled and Maintained by Donald L. White Version: August 29, 2017 CONTENTS LINEAR ALGEBRA AND

More information

Review problems for MA 54, Fall 2004.

Review problems for MA 54, Fall 2004. Review problems for MA 54, Fall 2004. Below are the review problems for the final. They are mostly homework problems, or very similar. If you are comfortable doing these problems, you should be fine on

More information

INTRODUCTION TO REAL ANALYTIC GEOMETRY

INTRODUCTION TO REAL ANALYTIC GEOMETRY INTRODUCTION TO REAL ANALYTIC GEOMETRY KRZYSZTOF KURDYKA 1. Analytic functions in several variables 1.1. Summable families. Let (E, ) be a normed space over the field R or C, dim E

More information

CHAPTER 6. Representations of compact groups

CHAPTER 6. Representations of compact groups CHAPTER 6 Representations of compact groups Throughout this chapter, denotes a compact group. 6.1. Examples of compact groups A standard theorem in elementary analysis says that a subset of C m (m a positive

More information

Spectral Theorem for Self-adjoint Linear Operators

Spectral Theorem for Self-adjoint Linear Operators Notes for the undergraduate lecture by David Adams. (These are the notes I would write if I was teaching a course on this topic. I have included more material than I will cover in the 45 minute lecture;

More information

We simply compute: for v = x i e i, bilinearity of B implies that Q B (v) = B(v, v) is given by xi x j B(e i, e j ) =

We simply compute: for v = x i e i, bilinearity of B implies that Q B (v) = B(v, v) is given by xi x j B(e i, e j ) = Math 395. Quadratic spaces over R 1. Algebraic preliminaries Let V be a vector space over a field F. Recall that a quadratic form on V is a map Q : V F such that Q(cv) = c 2 Q(v) for all v V and c F, and

More information

Notes on Lie Algebras

Notes on Lie Algebras NEW MEXICO TECH (October 23, 2010) DRAFT Notes on Lie Algebras Ivan G. Avramidi Department of Mathematics New Mexico Institute of Mining and Technology Socorro, NM 87801, USA E-mail: iavramid@nmt.edu 1

More information

MATH 23a, FALL 2002 THEORETICAL LINEAR ALGEBRA AND MULTIVARIABLE CALCULUS Solutions to Final Exam (in-class portion) January 22, 2003

MATH 23a, FALL 2002 THEORETICAL LINEAR ALGEBRA AND MULTIVARIABLE CALCULUS Solutions to Final Exam (in-class portion) January 22, 2003 MATH 23a, FALL 2002 THEORETICAL LINEAR ALGEBRA AND MULTIVARIABLE CALCULUS Solutions to Final Exam (in-class portion) January 22, 2003 1. True or False (28 points, 2 each) T or F If V is a vector space

More information

Chapter 3 Transformations

Chapter 3 Transformations Chapter 3 Transformations An Introduction to Optimization Spring, 2014 Wei-Ta Chu 1 Linear Transformations A function is called a linear transformation if 1. for every and 2. for every If we fix the bases

More information

BLOCKS IN THE CATEGORY OF FINITE-DIMENSIONAL REPRESENTATIONS OF gl(m n)

BLOCKS IN THE CATEGORY OF FINITE-DIMENSIONAL REPRESENTATIONS OF gl(m n) BLOCKS IN THE CATEGORY OF FINITE-DIMENSIONAL REPRESENTATIONS OF gl(m n) VERA SERGANOVA Abstract. We decompose the category of finite-dimensional gl (m n)- modules into the direct sum of blocks, show that

More information

Virasoro and Kac-Moody Algebra

Virasoro and Kac-Moody Algebra Virasoro and Kac-Moody Algebra Di Xu UCSC Di Xu (UCSC) Virasoro and Kac-Moody Algebra 2015/06/11 1 / 24 Outline Mathematical Description Conformal Symmetry in dimension d > 3 Conformal Symmetry in dimension

More information

The Spinor Representation

The Spinor Representation The Spinor Representation Math G4344, Spring 2012 As we have seen, the groups Spin(n) have a representation on R n given by identifying v R n as an element of the Clifford algebra C(n) and having g Spin(n)

More information

Kac-Moody Algebras. Ana Ros Camacho June 28, 2010

Kac-Moody Algebras. Ana Ros Camacho June 28, 2010 Kac-Moody Algebras Ana Ros Camacho June 28, 2010 Abstract Talk for the seminar on Cohomology of Lie algebras, under the supervision of J-Prof. Christoph Wockel Contents 1 Motivation 1 2 Prerequisites 1

More information

MATRICES ARE SIMILAR TO TRIANGULAR MATRICES

MATRICES ARE SIMILAR TO TRIANGULAR MATRICES MATRICES ARE SIMILAR TO TRIANGULAR MATRICES 1 Complex matrices Recall that the complex numbers are given by a + ib where a and b are real and i is the imaginary unity, ie, i 2 = 1 In what we describe below,

More information

CHAPTER VIII HILBERT SPACES

CHAPTER VIII HILBERT SPACES CHAPTER VIII HILBERT SPACES DEFINITION Let X and Y be two complex vector spaces. A map T : X Y is called a conjugate-linear transformation if it is a reallinear transformation from X into Y, and if T (λx)

More information

Lemma 1.3. The element [X, X] is nonzero.

Lemma 1.3. The element [X, X] is nonzero. Math 210C. The remarkable SU(2) Let G be a non-commutative connected compact Lie group, and assume that its rank (i.e., dimension of maximal tori) is 1; equivalently, G is a compact connected Lie group

More information

is an isomorphism, and V = U W. Proof. Let u 1,..., u m be a basis of U, and add linearly independent

is an isomorphism, and V = U W. Proof. Let u 1,..., u m be a basis of U, and add linearly independent Lecture 4. G-Modules PCMI Summer 2015 Undergraduate Lectures on Flag Varieties Lecture 4. The categories of G-modules, mostly for finite groups, and a recipe for finding every irreducible G-module of a

More information

LECTURE 4: REPRESENTATION THEORY OF SL 2 (F) AND sl 2 (F)

LECTURE 4: REPRESENTATION THEORY OF SL 2 (F) AND sl 2 (F) LECTURE 4: REPRESENTATION THEORY OF SL 2 (F) AND sl 2 (F) IVAN LOSEV In this lecture we will discuss the representation theory of the algebraic group SL 2 (F) and of the Lie algebra sl 2 (F), where F is

More information

arxiv: v1 [math.rt] 15 Oct 2008

arxiv: v1 [math.rt] 15 Oct 2008 CLASSIFICATION OF FINITE-GROWTH GENERAL KAC-MOODY SUPERALGEBRAS arxiv:0810.2637v1 [math.rt] 15 Oct 2008 CRYSTAL HOYT AND VERA SERGANOVA Abstract. A contragredient Lie superalgebra is a superalgebra defined

More information

A Brief Introduction to Functional Analysis

A Brief Introduction to Functional Analysis A Brief Introduction to Functional Analysis Sungwook Lee Department of Mathematics University of Southern Mississippi sunglee@usm.edu July 5, 2007 Definition 1. An algebra A is a vector space over C with

More information

Holomorphic line bundles

Holomorphic line bundles Chapter 2 Holomorphic line bundles In the absence of non-constant holomorphic functions X! C on a compact complex manifold, we turn to the next best thing, holomorphic sections of line bundles (i.e., rank

More information

Conformal Field Theory and Combinatorics

Conformal Field Theory and Combinatorics Conformal Field Theory and Combinatorics Part I: Basic concepts of CFT 1,2 1 Université Pierre et Marie Curie, Paris 6, France 2 Institut de Physique Théorique, CEA/Saclay, France Wednesday 16 January,

More information

4.2. ORTHOGONALITY 161

4.2. ORTHOGONALITY 161 4.2. ORTHOGONALITY 161 Definition 4.2.9 An affine space (E, E ) is a Euclidean affine space iff its underlying vector space E is a Euclidean vector space. Given any two points a, b E, we define the distance

More information

Notes on Complex Analysis

Notes on Complex Analysis Michael Papadimitrakis Notes on Complex Analysis Department of Mathematics University of Crete Contents The complex plane.. The complex plane...................................2 Argument and polar representation.........................

More information

APPENDIX A. Background Mathematics. A.1 Linear Algebra. Vector algebra. Let x denote the n-dimensional column vector with components x 1 x 2.

APPENDIX A. Background Mathematics. A.1 Linear Algebra. Vector algebra. Let x denote the n-dimensional column vector with components x 1 x 2. APPENDIX A Background Mathematics A. Linear Algebra A.. Vector algebra Let x denote the n-dimensional column vector with components 0 x x 2 B C @. A x n Definition 6 (scalar product). The scalar product

More information

Problems in Linear Algebra and Representation Theory

Problems in Linear Algebra and Representation Theory Problems in Linear Algebra and Representation Theory (Most of these were provided by Victor Ginzburg) The problems appearing below have varying level of difficulty. They are not listed in any specific

More information

Topics in linear algebra

Topics in linear algebra Chapter 6 Topics in linear algebra 6.1 Change of basis I want to remind you of one of the basic ideas in linear algebra: change of basis. Let F be a field, V and W be finite dimensional vector spaces over

More information

THE EULER CHARACTERISTIC OF A LIE GROUP

THE EULER CHARACTERISTIC OF A LIE GROUP THE EULER CHARACTERISTIC OF A LIE GROUP JAY TAYLOR 1 Examples of Lie Groups The following is adapted from [2] We begin with the basic definition and some core examples Definition A Lie group is a smooth

More information

MATH 581D FINAL EXAM Autumn December 12, 2016

MATH 581D FINAL EXAM Autumn December 12, 2016 MATH 58D FINAL EXAM Autumn 206 December 2, 206 NAME: SIGNATURE: Instructions: there are 6 problems on the final. Aim for solving 4 problems, but do as much as you can. Partial credit will be given on all

More information

Complex manifolds, Kahler metrics, differential and harmonic forms

Complex manifolds, Kahler metrics, differential and harmonic forms Complex manifolds, Kahler metrics, differential and harmonic forms Cattani June 16, 2010 1 Lecture 1 Definition 1.1 (Complex Manifold). A complex manifold is a manifold with coordinates holomorphic on

More information

Review of some mathematical tools

Review of some mathematical tools MATHEMATICAL FOUNDATIONS OF SIGNAL PROCESSING Fall 2016 Benjamín Béjar Haro, Mihailo Kolundžija, Reza Parhizkar, Adam Scholefield Teaching assistants: Golnoosh Elhami, Hanjie Pan Review of some mathematical

More information

Problem Set (T) If A is an m n matrix, B is an n p matrix and D is a p s matrix, then show

Problem Set (T) If A is an m n matrix, B is an n p matrix and D is a p s matrix, then show MTH 0: Linear Algebra Department of Mathematics and Statistics Indian Institute of Technology - Kanpur Problem Set Problems marked (T) are for discussions in Tutorial sessions (T) If A is an m n matrix,

More information

Representations of algebraic groups and their Lie algebras Jens Carsten Jantzen Lecture III

Representations of algebraic groups and their Lie algebras Jens Carsten Jantzen Lecture III Representations of algebraic groups and their Lie algebras Jens Carsten Jantzen Lecture III Lie algebras. Let K be again an algebraically closed field. For the moment let G be an arbitrary algebraic group

More information

Foundations of Matrix Analysis

Foundations of Matrix Analysis 1 Foundations of Matrix Analysis In this chapter we recall the basic elements of linear algebra which will be employed in the remainder of the text For most of the proofs as well as for the details, the

More information

Course 311: Michaelmas Term 2005 Part III: Topics in Commutative Algebra

Course 311: Michaelmas Term 2005 Part III: Topics in Commutative Algebra Course 311: Michaelmas Term 2005 Part III: Topics in Commutative Algebra D. R. Wilkins Contents 3 Topics in Commutative Algebra 2 3.1 Rings and Fields......................... 2 3.2 Ideals...............................

More information

235 Final exam review questions

235 Final exam review questions 5 Final exam review questions Paul Hacking December 4, 0 () Let A be an n n matrix and T : R n R n, T (x) = Ax the linear transformation with matrix A. What does it mean to say that a vector v R n is an

More information

Math Linear Algebra II. 1. Inner Products and Norms

Math Linear Algebra II. 1. Inner Products and Norms Math 342 - Linear Algebra II Notes 1. Inner Products and Norms One knows from a basic introduction to vectors in R n Math 254 at OSU) that the length of a vector x = x 1 x 2... x n ) T R n, denoted x,

More information

REPRESENTATION THEORY WEEK 7

REPRESENTATION THEORY WEEK 7 REPRESENTATION THEORY WEEK 7 1. Characters of L k and S n A character of an irreducible representation of L k is a polynomial function constant on every conjugacy class. Since the set of diagonalizable

More information

MATH 235. Final ANSWERS May 5, 2015

MATH 235. Final ANSWERS May 5, 2015 MATH 235 Final ANSWERS May 5, 25. ( points) Fix positive integers m, n and consider the vector space V of all m n matrices with entries in the real numbers R. (a) Find the dimension of V and prove your

More information

Mic ael Flohr Representation theory of semi-simple Lie algebras: Example su(3) 6. and 20. June 2003

Mic ael Flohr Representation theory of semi-simple Lie algebras: Example su(3) 6. and 20. June 2003 Handout V for the course GROUP THEORY IN PHYSICS Mic ael Flohr Representation theory of semi-simple Lie algebras: Example su(3) 6. and 20. June 2003 GENERALIZING THE HIGHEST WEIGHT PROCEDURE FROM su(2)

More information

arxiv: v1 [math.gr] 8 Nov 2008

arxiv: v1 [math.gr] 8 Nov 2008 SUBSPACES OF 7 7 SKEW-SYMMETRIC MATRICES RELATED TO THE GROUP G 2 arxiv:0811.1298v1 [math.gr] 8 Nov 2008 ROD GOW Abstract. Let K be a field of characteristic different from 2 and let C be an octonion algebra

More information

Lecture 8 : Eigenvalues and Eigenvectors

Lecture 8 : Eigenvalues and Eigenvectors CPS290: Algorithmic Foundations of Data Science February 24, 2017 Lecture 8 : Eigenvalues and Eigenvectors Lecturer: Kamesh Munagala Scribe: Kamesh Munagala Hermitian Matrices It is simpler to begin with

More information

TOEPLITZ OPERATORS. Toeplitz studied infinite matrices with NW-SE diagonals constant. f e C :

TOEPLITZ OPERATORS. Toeplitz studied infinite matrices with NW-SE diagonals constant. f e C : TOEPLITZ OPERATORS EFTON PARK 1. Introduction to Toeplitz Operators Otto Toeplitz lived from 1881-1940 in Goettingen, and it was pretty rough there, so he eventually went to Palestine and eventually contracted

More information

1. General Vector Spaces

1. General Vector Spaces 1.1. Vector space axioms. 1. General Vector Spaces Definition 1.1. Let V be a nonempty set of objects on which the operations of addition and scalar multiplication are defined. By addition we mean a rule

More information

(v, w) = arccos( < v, w >

(v, w) = arccos( < v, w > MA322 Sathaye Notes on Inner Products Notes on Chapter 6 Inner product. Given a real vector space V, an inner product is defined to be a bilinear map F : V V R such that the following holds: For all v

More information

2. Intersection Multiplicities

2. Intersection Multiplicities 2. Intersection Multiplicities 11 2. Intersection Multiplicities Let us start our study of curves by introducing the concept of intersection multiplicity, which will be central throughout these notes.

More information

NORMS ON SPACE OF MATRICES

NORMS ON SPACE OF MATRICES NORMS ON SPACE OF MATRICES. Operator Norms on Space of linear maps Let A be an n n real matrix and x 0 be a vector in R n. We would like to use the Picard iteration method to solve for the following system

More information

Numerical Linear Algebra

Numerical Linear Algebra University of Alabama at Birmingham Department of Mathematics Numerical Linear Algebra Lecture Notes for MA 660 (1997 2014) Dr Nikolai Chernov April 2014 Chapter 0 Review of Linear Algebra 0.1 Matrices

More information

5 Quiver Representations

5 Quiver Representations 5 Quiver Representations 5. Problems Problem 5.. Field embeddings. Recall that k(y,..., y m ) denotes the field of rational functions of y,..., y m over a field k. Let f : k[x,..., x n ] k(y,..., y m )

More information

A PRIMER ON SESQUILINEAR FORMS

A PRIMER ON SESQUILINEAR FORMS A PRIMER ON SESQUILINEAR FORMS BRIAN OSSERMAN This is an alternative presentation of most of the material from 8., 8.2, 8.3, 8.4, 8.5 and 8.8 of Artin s book. Any terminology (such as sesquilinear form

More information

MAT Linear Algebra Collection of sample exams

MAT Linear Algebra Collection of sample exams MAT 342 - Linear Algebra Collection of sample exams A-x. (0 pts Give the precise definition of the row echelon form. 2. ( 0 pts After performing row reductions on the augmented matrix for a certain system

More information

Math 102, Winter Final Exam Review. Chapter 1. Matrices and Gaussian Elimination

Math 102, Winter Final Exam Review. Chapter 1. Matrices and Gaussian Elimination Math 0, Winter 07 Final Exam Review Chapter. Matrices and Gaussian Elimination { x + x =,. Different forms of a system of linear equations. Example: The x + 4x = 4. [ ] [ ] [ ] vector form (or the column

More information

Abelian Varieties and Complex Tori: A Tale of Correspondence

Abelian Varieties and Complex Tori: A Tale of Correspondence Abelian Varieties and Complex Tori: A Tale of Correspondence Nate Bushek March 12, 2012 Introduction: This is an expository presentation on an area of personal interest, not expertise. I will use results

More information

Linear Algebra using Dirac Notation: Pt. 2

Linear Algebra using Dirac Notation: Pt. 2 Linear Algebra using Dirac Notation: Pt. 2 PHYS 476Q - Southern Illinois University February 6, 2018 PHYS 476Q - Southern Illinois University Linear Algebra using Dirac Notation: Pt. 2 February 6, 2018

More information

Traces, Cauchy identity, Schur polynomials

Traces, Cauchy identity, Schur polynomials June 28, 20 Traces, Cauchy identity, Schur polynomials Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/. Example: GL 2 2. GL n C and Un 3. Decomposing holomorphic polynomials over GL

More information

HASSE-MINKOWSKI THEOREM

HASSE-MINKOWSKI THEOREM HASSE-MINKOWSKI THEOREM KIM, SUNGJIN 1. Introduction In rough terms, a local-global principle is a statement that asserts that a certain property is true globally if and only if it is true everywhere locally.

More information

F (z) =f(z). f(z) = a n (z z 0 ) n. F (z) = a n (z z 0 ) n

F (z) =f(z). f(z) = a n (z z 0 ) n. F (z) = a n (z z 0 ) n 6 Chapter 2. CAUCHY S THEOREM AND ITS APPLICATIONS Theorem 5.6 (Schwarz reflection principle) Suppose that f is a holomorphic function in Ω + that extends continuously to I and such that f is real-valued

More information

LECTURE 6: J-HOLOMORPHIC CURVES AND APPLICATIONS

LECTURE 6: J-HOLOMORPHIC CURVES AND APPLICATIONS LECTURE 6: J-HOLOMORPHIC CURVES AND APPLICATIONS WEIMIN CHEN, UMASS, SPRING 07 1. Basic elements of J-holomorphic curve theory Let (M, ω) be a symplectic manifold of dimension 2n, and let J J (M, ω) be

More information

Generators of affine W-algebras

Generators of affine W-algebras 1 Generators of affine W-algebras Alexander Molev University of Sydney 2 The W-algebras first appeared as certain symmetry algebras in conformal field theory. 2 The W-algebras first appeared as certain

More information

6 Orthogonal groups. O 2m 1 q. q 2i 1 q 2i. 1 i 1. 1 q 2i 2. O 2m q. q m m 1. 1 q 2i 1 i 1. 1 q 2i. i 1. 2 q 1 q i 1 q i 1. m 1.

6 Orthogonal groups. O 2m 1 q. q 2i 1 q 2i. 1 i 1. 1 q 2i 2. O 2m q. q m m 1. 1 q 2i 1 i 1. 1 q 2i. i 1. 2 q 1 q i 1 q i 1. m 1. 6 Orthogonal groups We now turn to the orthogonal groups. These are more difficult, for two related reasons. First, it is not always true that the group of isometries with determinant 1 is equal to its

More information

4. Killing form, root space inner product, and commutation relations * version 1.5 *

4. Killing form, root space inner product, and commutation relations * version 1.5 * 4. Killing form, root space inner product, and commutation relations * version 1.5 * Matthew Foster September 12, 2016 Contents 4.1 Weights in the Cartan-Weyl basis; rank-r bases for H and H 1 4.2 The

More information

Part III Symmetries, Fields and Particles

Part III Symmetries, Fields and Particles Part III Symmetries, Fields and Particles Theorems Based on lectures by N. Dorey Notes taken by Dexter Chua Michaelmas 2016 These notes are not endorsed by the lecturers, and I have modified them (often

More information

Classification of semisimple Lie algebras

Classification of semisimple Lie algebras Chapter 6 Classification of semisimple Lie algebras When we studied sl 2 (C), we discovered that it is spanned by elements e, f and h fulfilling the relations: [e, h] = 2e, [ f, h] = 2 f and [e, f ] =

More information

Classification of root systems

Classification of root systems Classification of root systems September 8, 2017 1 Introduction These notes are an approximate outline of some of the material to be covered on Thursday, April 9; Tuesday, April 14; and Thursday, April

More information

ON MATRIX VALUED SQUARE INTEGRABLE POSITIVE DEFINITE FUNCTIONS

ON MATRIX VALUED SQUARE INTEGRABLE POSITIVE DEFINITE FUNCTIONS 1 2 3 ON MATRIX VALUED SQUARE INTERABLE POSITIVE DEFINITE FUNCTIONS HONYU HE Abstract. In this paper, we study matrix valued positive definite functions on a unimodular group. We generalize two important

More information