UC Berkeley Summer Undergraduate Research Program 2015 July 8 Lecture
|
|
- Arlene Houston
- 5 years ago
- Views:
Transcription
1 UC Berkeley Summer Undergraduate Research Program 25 July 8 Lecture This lecture is intended to tie up some (potential) loose ends that we have encountered on the road during the past couple of weeks We will focus on root subgroups and some connections with Lie algebras Root Subgroups Fix G = GL n and let T B G be the diagonal matrices sitting inside the upper triangular matrices Let R = {χ i χ j i j} be the set of roots, R + = {χ i χ j i < j} the positive roots (relative to B) For α R, we define the unipotent subgroup U α = {I n + ae ij a C} This is a subgroup of G isomorphic to C - there exists a group isomorphism C U α that is also a morphism of algebraic varieties Let s write Exercise: u α (a) = exp(ae ij ) T normalises U α and u α (a) = I n + ae ij U α t(i n + ae ij )t = I n + α(t)ae ij = tu(a)t = u(α(t)a) Hence, identifying U α with C, we find that conjugation by T induces an action of T on C via the root α: t a = α(t)a Now, suppose that W is a representation of G and w W (µ) is a (nonzero) weight vector of weight µ: this means that tw = µ(t)w, for t T Fix α R, some root of G Important Proposition: u α (a)w = i ai w i, where w = w, w i W (µ + iα), and the sum is finite Proof: Restrict the representation of G on W to U α = C: this amounts to giving a morphism of varieties that is also a group homomorphism F : C = U α G GL(W ) Such a morphism of affine varieties is determined by the induced morphism on coordinate rings F : A GL(W ) A C = C[t] Fix a weight basis B = (w, u 2,, u m ) of W (relative to T ), such that w is a basis vector Then, we get GL(W ) = GL m, and A GL(W ) = C[xij, det ], so that any C-algebra morphism is determined by F (x ij ) = f ij (t) C[t]: we have [u α (a)] B = [f ij (a)] with respect to this basis Hence, we have u α (a)w = f i (a)u i = a k v k, v k W i k Note that the v k s above are not weight vector a priori We will show that, in fact, they are! Let t T Then, t(u α (a)w) = a k tv k k
2 Also, we have t(u α (a)w) = ( tu α (a)t ) (tw), = u α (α(t)a)µ(t)w, = µ(t) f i (α(t)a)u i, i = µ(t) k α(t) k a k v k Hence, for every a C, t T, µ(t) k α(t) k a k v k = k a k tv k = k a k (µ(t)α(t) k v k tv k ) = W Remark: a nicer proof of the following discussion was provided by Mark during lecture; I ll keep what I had for prosperity Suppose that k ak w k is a polynomial with coefficients in W (ie w k W ) Fix any basis of W, (x,, x m ) Then, we have, for every a C, = k a k w k = m f j (a)u j = f j (a) = = f j = C[t] j= Note that the coefficients of f j = n j i= c ijt i are such that w k = m j= c kju j, so that we must have w k = W, for all k In fact, we have then that Otherwise, let µ(t)α(t) k v k = tv k, for all t T, and each k such that v k Then, for k J we observe that J = {k µ(t)α(t) k v k tv k, for some t T } v k = j c j u j, where c j is the coefficient of t k in f j (t), and tv k = j c j tu j = j c j µ j (t)u j (u j W (µ j )) Moreover, µ(t)α(t) k v k = j c j µ(t)α(t) k u j, so that we must have µ(t )α(t ) k µ j (t ), for some t T, some j such that c j, and any k J Hence, for every a C, W = k J a k j c j (µ(t )α(t ) k µ j (t ))u j = = k J a k c j (µ(t )α(t ) k µ j (t )), for every j, a C 2
3 In particular, for every a C, = c j a k (µ(t )α(t ) k µ j (t )) = c j =, k J which is absurd The result follows! (Can you think of a nicer proof? I feel like that there is a more elegant way to prove this, without the juggling of quantifiers) Why do we care? We have just shown that the root subgroups move weight vectors in the direction of α Namely, if w W (µ) then u α (a)w i W (µ + iα) Recall that we have defined a partial order on weights: for λ, µ X (T ) we define λ µ λ µ = i n i α i, n i Z In particular, if α R + so that α = j m jα j, with m j Z, then for w W (µ), U α w w + λ>µ W (λ) Similarly, if α R +, and w W (µ), then U α w w + λ<µ W (λ) Draw some A 2 examples: fundamental represenations, Ad, decompose some symmetric products The above results tell us more If we choose a weight basis B = (w,, w m ), w i W (µ i ), for a representation W and order the basis elements so that they (linearly) refine the above partial ordering - this means µ i µ j = i < j - then the matrix of an element u U α, for any α R +, is upper triangular, unipotent: we must always have [ ] a [u α (a)] B =, with powers of a appearing above the diagonal Similarly, the matrix of an element u U α, for any α R +, is lower triangular, unipotent For example, fix the basis (e 2, e 3, e 4, e 23, e 24, e 34 ) of 2 C 4 We have the set of weights of this representation 2 Λ( C 4 ) = {χ i + χ j i < j} Note that µ 2 = χ + χ 2 = ω 2, µ 3 = χ + χ 3 = ω 2 α 2, µ 4 = χ + χ 4 = ω 2 α 2 α 3, µ 23 = χ 2 + χ 3 = ω 2 α α 2, 3
4 The poset (Λ( 2 C 4 ), ) is We see that, for example, µ 24 = χ 2 + χ 4 = ω 2 α α 2 α 3, µ 34 = χ 3 + χ 4 = ω 2 α 2α 2 α 3 µ 2 µ 3 µ 4 µ 23 µ 24 µ 34 [u α3 (a)] = a a a [u α +α 2 (a)] = The Weyl Group Suppose that w W (µ) is a weight vector of weight µ (with respect to T ) Recall that the Weyl group of G (relative to T ) is defined to be W = N G (T )/T = S n For σ W, let x σ N G (T ) be a representative Then, W acts on X (T ) as follows: for σ W, α X (T ), σ α : t α(x σ tx σ ) 2 if α R and s α W is the reflection in the hyperplane orthogonal to α, then t(x sα w) = x sα (x s α tx sα )w = x sα µ(x s α tx sα )w = (σ µ)(t)x sα w = x sα w W (σ µ) Hence, W permutes the weight spaces; in particular, for any σ W, dim W (µ) = dim W (σ µ) The Lie algebra The Lie algebra of G is defined as g def = T e G, the tangent space at the identity For us, g = M n We can think of tangent vectors as derivatives of curves passing through e G at t = For example, γ α : [, ] U α ; t u α (t), and we have, assuming α = χ i χ j, γ () = E ij 4
5 Given a rational representation ρ : G GL(W ), we get an induced map of tangent spaces: dρ : T e G T id GL(W ) ; γ () (ρ γ) () For example, if we choose a weight basis B for W = 2 C 4 refining, as above, then we can identify GL(W ) with GL 6, and for any u U α we have seen that the i th column of [u α (a)] B is of the form c a i c 2 a i 2 c i a, c i {, } Hence, if we restrict ρ to U α then we find that (ρ γ α ) () is a matrix with s everywhere away from the main superdiagonal, where there may appear s For example, in the above examples, we see that Observing that dρ(γ α 3 ()) = dρ(γ α +α 2 ()) = γ α 3 () = E 34 M 4, γ α +α 2 () = E 3 M 4, we can think of the above matrices as showing us how the root operators E 34, E 3 act on the induced Lie algebra representation (whatever this means) For example, E 34 does nothing to any weight space W (µ ij ), except for W (µ 4 ) and W (µ 24 ), and E 34 W (µ 4 ) W (µ 3 ), E 34 W (µ 24 ) W (µ 23 ) Observe that we have µ 3 = µ 4 + α 3, µ 23 = µ 24 + α 3 ; this is no accident Fact: If α R, then E α W (µ) W (µ + α) 5
UC Berkeley Summer Undergraduate Research Program 2015 July 9 Lecture
UC Berkeley Summer Undergraduate Research Program 205 July 9 Lecture We will introduce the basic structure and representation theory of the symplectic group Sp(V ). Basics Fix a nondegenerate, alternating
More informationMath 249B. Nilpotence of connected solvable groups
Math 249B. Nilpotence of connected solvable groups 1. Motivation and examples In abstract group theory, the descending central series {C i (G)} of a group G is defined recursively by C 0 (G) = G and C
More informationBackground on Chevalley Groups Constructed from a Root System
Background on Chevalley Groups Constructed from a Root System Paul Tokorcheck Department of Mathematics University of California, Santa Cruz 10 October 2011 Abstract In 1955, Claude Chevalley described
More information22A-2 SUMMER 2014 LECTURE Agenda
22A-2 SUMMER 204 LECTURE 2 NATHANIEL GALLUP The Dot Product Continued Matrices Group Work Vectors and Linear Equations Agenda 2 Dot Product Continued Angles between vectors Given two 2-dimensional vectors
More information1 Smooth manifolds and Lie groups
An undergraduate approach to Lie theory Slide 1 Andrew Baker, Glasgow Glasgow, 12/11/1999 1 Smooth manifolds and Lie groups A continuous g : V 1 V 2 with V k R m k open is called smooth if it is infinitely
More information16.2. Definition. Let N be the set of all nilpotent elements in g. Define N
74 16. Lecture 16: Springer Representations 16.1. The flag manifold. Let G = SL n (C). It acts transitively on the set F of complete flags 0 F 1 F n 1 C n and the stabilizer of the standard flag is the
More informationTranscendence in Positive Characteristic
Transcendence in Positive Characteristic Galois Group Examples and Applications W. Dale Brownawell Matthew Papanikolas Penn State University Texas A&M University Arizona Winter School 2008 March 18, 2008
More informationREPRESENTATION THEORY OF S n
REPRESENTATION THEORY OF S n EVAN JENKINS Abstract. These are notes from three lectures given in MATH 26700, Introduction to Representation Theory of Finite Groups, at the University of Chicago in November
More informationREPRESENTATION 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 informationProblems 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 informationSolutions of exercise sheet 8
D-MATH Algebra I HS 14 Prof. Emmanuel Kowalski Solutions of exercise sheet 8 1. In this exercise, we will give a characterization for solvable groups using commutator subgroups. See last semester s (Algebra
More informationReview of linear algebra
Review of linear algebra 1 Vectors and matrices We will just touch very briefly on certain aspects of linear algebra, most of which should be familiar. Recall that we deal with vectors, i.e. elements of
More informationSpectral 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 informationMath 306 Topics in Algebra, Spring 2013 Homework 7 Solutions
Math 306 Topics in Algebra, Spring 203 Homework 7 Solutions () (5 pts) Let G be a finite group. Show that the function defines an inner product on C[G]. We have Also Lastly, we have C[G] C[G] C c f + c
More informationSOME EXAMPLES OF THE GALOIS CORRESPONDENCE
SOME EXAMPLES OF THE GALOIS CORRESPONDENCE KEITH CONRAD Example 1. The field extension (, ω)/, where ω is a nontrivial cube root of unity, is Galois: it is a splitting field over for X, which is separable
More informationDefinition 3 A Hamel basis (often just called a basis) of a vector space X is a linearly independent set of vectors in X that spans X.
Economics 04 Summer/Fall 011 Lecture 8 Wednesday August 3, 011 Chapter 3. Linear Algebra Section 3.1. Bases Definition 1 Let X be a vector space over a field F. A linear combination of x 1,..., x n X is
More informationREPRESENTATION THEORY. WEEK 4
REPRESENTATION THEORY. WEEK 4 VERA SERANOVA 1. uced modules Let B A be rings and M be a B-module. Then one can construct induced module A B M = A B M as the quotient of a free abelian group with generators
More informationRepresentations. 1 Basic definitions
Representations 1 Basic definitions If V is a k-vector space, we denote by Aut V the group of k-linear isomorphisms F : V V and by End V the k-vector space of k-linear maps F : V V. Thus, if V = k n, then
More informationNotes on nilpotent orbits Computational Theory of Real Reductive Groups Workshop. Eric Sommers
Notes on nilpotent orbits Computational Theory of Real Reductive Groups Workshop Eric Sommers 17 July 2009 2 Contents 1 Background 5 1.1 Linear algebra......................................... 5 1.1.1
More informationREPRESENTATION THEORY WEEK 5. B : V V k
REPRESENTATION THEORY WEEK 5 1. Invariant forms Recall that a bilinear form on a vector space V is a map satisfying B : V V k B (cv, dw) = cdb (v, w), B (v 1 + v, w) = B (v 1, w)+b (v, w), B (v, w 1 +
More informationL(C G (x) 0 ) c g (x). Proof. Recall C G (x) = {g G xgx 1 = g} and c g (x) = {X g Ad xx = X}. In general, it is obvious that
ALGEBRAIC GROUPS 61 5. Root systems and semisimple Lie algebras 5.1. Characteristic 0 theory. Assume in this subsection that chark = 0. Let me recall a couple of definitions made earlier: G is called reductive
More informationMILNOR SEMINAR: DIFFERENTIAL FORMS AND CHERN CLASSES
MILNOR SEMINAR: DIFFERENTIAL FORMS AND CHERN CLASSES NILAY KUMAR In these lectures I want to introduce the Chern-Weil approach to characteristic classes on manifolds, and in particular, the Chern classes.
More informationCurtis Heberle MTH 189 Final Paper 12/14/2010. Algebraic Groups
Algebraic Groups Curtis Heberle MTH 189 Final Paper 12/14/2010 The primary objects of study in algebraic geometry are varieties. Having become acquainted with these objects, it is interesting to consider
More informationELEMENTARY SUBALGEBRAS OF RESTRICTED LIE ALGEBRAS
ELEMENTARY SUBALGEBRAS OF RESTRICTED LIE ALGEBRAS J. WARNER SUMMARY OF A PAPER BY J. CARLSON, E. FRIEDLANDER, AND J. PEVTSOVA, AND FURTHER OBSERVATIONS 1. The Nullcone and Restricted Nullcone We will need
More informationSubgroups of Linear Algebraic Groups
Subgroups of Linear Algebraic Groups Subgroups of Linear Algebraic Groups Contents Introduction 1 Acknowledgements 4 1. Basic definitions and examples 5 1.1. Introduction to Linear Algebraic Groups 5 1.2.
More informationMATH 223A NOTES 2011 LIE ALGEBRAS 35
MATH 3A NOTES 011 LIE ALGEBRAS 35 9. Abstract root systems We now attempt to reconstruct the Lie algebra based only on the information given by the set of roots Φ which is embedded in Euclidean space E.
More informationA method for construction of Lie group invariants
arxiv:1206.4395v1 [math.rt] 20 Jun 2012 A method for construction of Lie group invariants Yu. Palii Laboratory of Information Technologies, Joint Institute for Nuclear Research, Dubna, Russia and Institute
More informationMath 594. Solutions 5
Math 594. Solutions 5 Book problems 6.1: 7. Prove that subgroups and quotient groups of nilpotent groups are nilpotent (your proof should work for infinite groups). Give an example of a group G which possesses
More informationMath 110, Spring 2015: Midterm Solutions
Math 11, Spring 215: Midterm Solutions These are not intended as model answers ; in many cases far more explanation is provided than would be necessary to receive full credit. The goal here is to make
More informationExercises on chapter 4
Exercises on chapter 4 Always R-algebra means associative, unital R-algebra. (There are other sorts of R-algebra but we won t meet them in this course.) 1. Let A and B be algebras over a field F. (i) Explain
More informationThe Cartan Decomposition of a Complex Semisimple Lie Algebra
The Cartan Decomposition of a Complex Semisimple Lie Algebra Shawn Baland University of Colorado, Boulder November 29, 2007 Definition Let k be a field. A k-algebra is a k-vector space A equipped with
More informationGeometry of Schubert Varieties RepNet Workshop
Geometry of Schubert Varieties RepNet Workshop Chris Spencer Ulrich Thiel University of Edinburgh University of Kaiserslautern 24 May 2010 Flag Varieties Throughout, let k be a fixed algebraically closed
More informationHyperdeterminants of Polynomials
Hyperdeterminants of Polynomials Luke Oeding University of California, Berkeley June 5, 0 Support: NSF IRFP (#085000) while at the University of Florence. Luke Oeding (UC Berkeley) Hyperdets of Polys June
More informationEigenvalues and Eigenvectors A =
Eigenvalues and Eigenvectors Definition 0 Let A R n n be an n n real matrix A number λ R is a real eigenvalue of A if there exists a nonzero vector v R n such that A v = λ v The vector v is called an eigenvector
More information14 From modular forms to automorphic representations
14 From modular forms to automorphic representations We fix an even integer k and N > 0 as before. Let f M k (N) be a modular form. We would like to product a function on GL 2 (A Q ) out of it. Recall
More informationEigenvalues and Eigenvectors
Eigenvalues and Eigenvectors week -2 Fall 26 Eigenvalues and eigenvectors The most simple linear transformation from R n to R n may be the transformation of the form: T (x,,, x n ) (λ x, λ 2,, λ n x n
More informationSchur s Triangularization Theorem. Math 422
Schur s Triangularization Theorem Math 4 The characteristic polynomial p (t) of a square complex matrix A splits as a product of linear factors of the form (t λ) m Of course, finding these factors is a
More informationCLASSICAL GROUPS DAVID VOGAN
CLASSICAL GROUPS DAVID VOGAN 1. Orthogonal groups These notes are about classical groups. That term is used in various ways by various people; I ll try to say a little about that as I go along. Basically
More information5 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 informationMATH 8253 ALGEBRAIC GEOMETRY WEEK 12
MATH 8253 ALGEBRAIC GEOMETRY WEEK 2 CİHAN BAHRAN 3.2.. Let Y be a Noetherian scheme. Show that any Y -scheme X of finite type is Noetherian. Moreover, if Y is of finite dimension, then so is X. Write f
More informationALGEBRA 8: Linear algebra: characteristic polynomial
ALGEBRA 8: Linear algebra: characteristic polynomial Characteristic polynomial Definition 8.1. Consider a linear operator A End V over a vector space V. Consider a vector v V such that A(v) = λv. This
More informationSupplementary Notes March 23, The subgroup Ω for orthogonal groups
The subgroup Ω for orthogonal groups 18.704 Supplementary Notes March 23, 2005 In the case of the linear group, it is shown in the text that P SL(n, F ) (that is, the group SL(n) of determinant one matrices,
More informationRepresentations and Linear Actions
Representations and Linear Actions Definition 0.1. Let G be an S-group. A representation of G is a morphism of S-groups φ G GL(n, S) for some n. We say φ is faithful if it is a monomorphism (in the category
More informationTopics 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 informationA Field Extension as a Vector Space
Chapter 8 A Field Extension as a Vector Space In this chapter, we take a closer look at a finite extension from the point of view that is a vector space over. It is clear, for instance, that any is a linear
More informationGEOMETRIC STRUCTURES OF SEMISIMPLE LIE ALGEBRAS
GEOMETRIC STRUCTURES OF SEMISIMPLE LIE ALGEBRAS ANA BALIBANU DISCUSSED WITH PROFESSOR VICTOR GINZBURG 1. Introduction The aim of this paper is to explore the geometry of a Lie algebra g through the action
More informationMAT 2037 LINEAR ALGEBRA I web:
MAT 237 LINEAR ALGEBRA I 2625 Dokuz Eylül University, Faculty of Science, Department of Mathematics web: Instructor: Engin Mermut http://kisideuedutr/enginmermut/ HOMEWORK 2 MATRIX ALGEBRA Textbook: Linear
More informationLinear Algebra, Summer 2011, pt. 2
Linear Algebra, Summer 2, pt. 2 June 8, 2 Contents Inverses. 2 Vector Spaces. 3 2. Examples of vector spaces..................... 3 2.2 The column space......................... 6 2.3 The null space...........................
More information0.1 Rational Canonical Forms
We have already seen that it is useful and simpler to study linear systems using matrices. But matrices are themselves cumbersome, as they are stuffed with many entries, and it turns out that it s best
More informationne varieties (continued)
Chapter 2 A ne varieties (continued) 2.1 Products For some problems its not very natural to restrict to irreducible varieties. So we broaden the previous story. Given an a ne algebraic set X A n k, we
More informationHomework 5 M 373K Mark Lindberg and Travis Schedler
Homework 5 M 373K Mark Lindberg and Travis Schedler 1. Artin, Chapter 3, Exercise.1. Prove that the numbers of the form a + b, where a and b are rational numbers, form a subfield of C. Let F be the numbers
More informationGeneric Picard-Vessiot extensions for connected by finite groups Kolchin Seminar in Differential Algebra October 22nd, 2005
Generic Picard-Vessiot extensions for connected by finite groups Kolchin Seminar in Differential Algebra October 22nd, 2005 Polynomial Galois Theory case Noether first introduced generic equations in connection
More informationLECTURE 16: TENSOR PRODUCTS
LECTURE 16: TENSOR PRODUCTS We address an aesthetic concern raised by bilinear forms: the source of a bilinear function is not a vector space. When doing linear algebra, we want to be able to bring all
More informationMAT 1302B Mathematical Methods II
MAT 1302B Mathematical Methods II Alistair Savage Mathematics and Statistics University of Ottawa Winter 2015 Lecture 19 Alistair Savage (uottawa) MAT 1302B Mathematical Methods II Winter 2015 Lecture
More informationIMPORTANT DEFINITIONS AND THEOREMS REFERENCE SHEET
IMPORTANT DEFINITIONS AND THEOREMS REFERENCE SHEET This is a (not quite comprehensive) list of definitions and theorems given in Math 1553. Pay particular attention to the ones in red. Study Tip For each
More informationCOMPLEX MULTIPLICATION: LECTURE 14
COMPLEX MULTIPLICATION: LECTURE 14 Proposition 0.1. Let K be any field. i) Two elliptic curves over K are isomorphic if and only if they have the same j-invariant. ii) For any j 0 K, there exists an elliptic
More information22m:033 Notes: 7.1 Diagonalization of Symmetric Matrices
m:33 Notes: 7. Diagonalization of Symmetric Matrices Dennis Roseman University of Iowa Iowa City, IA http://www.math.uiowa.edu/ roseman May 3, Symmetric matrices Definition. A symmetric matrix is a matrix
More informationis 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 informationINTRODUCTION TO LIE ALGEBRAS. LECTURE 1.
INTRODUCTION TO LIE ALGEBRAS. LECTURE 1. 1. Algebras. Derivations. Definition of Lie algebra 1.1. Algebras. Let k be a field. An algebra over k (or k-algebra) is a vector space A endowed with a bilinear
More information2.4 Algebra of polynomials
2.4 Algebra of polynomials ([1], p.136-142) In this section we will give a brief introduction to the algebraic properties of the polynomial algebra C[t]. In particular, we will see that C[t] admits many
More information1.8 Dual Spaces (non-examinable)
2 Theorem 1715 is just a restatement in terms of linear morphisms of a fact that you might have come across before: every m n matrix can be row-reduced to reduced echelon form using row operations Moreover,
More informationMATH SOLUTIONS TO PRACTICE MIDTERM LECTURE 1, SUMMER Given vector spaces V and W, V W is the vector space given by
MATH 110 - SOLUTIONS TO PRACTICE MIDTERM LECTURE 1, SUMMER 2009 GSI: SANTIAGO CAÑEZ 1. Given vector spaces V and W, V W is the vector space given by V W = {(v, w) v V and w W }, with addition and scalar
More informationLECTURE 3 MATH 261A. Office hours are now settled to be after class on Thursdays from 12 : 30 2 in Evans 815, or still by appointment.
LECTURE 3 MATH 261A LECTURES BY: PROFESSOR DAVID NADLER PROFESSOR NOTES BY: JACKSON VAN DYKE Office hours are now settled to be after class on Thursdays from 12 : 30 2 in Evans 815, or still by appointment.
More informationABSTRACT ALGEBRA 1, LECTURES NOTES 5: SUBGROUPS, CONJUGACY, NORMALITY, QUOTIENT GROUPS, AND EXTENSIONS.
ABSTRACT ALGEBRA 1, LECTURES NOTES 5: SUBGROUPS, CONJUGACY, NORMALITY, QUOTIENT GROUPS, AND EXTENSIONS. ANDREW SALCH 1. Subgroups, conjugacy, normality. I think you already know what a subgroup is: Definition
More informationVector Spaces and Linear Transformations
Vector Spaces and Linear Transformations Wei Shi, Jinan University 2017.11.1 1 / 18 Definition (Field) A field F = {F, +, } is an algebraic structure formed by a set F, and closed under binary operations
More informationYale University Department of Mathematics Math 350 Introduction to Abstract Algebra Fall Midterm Exam Review Solutions
Yale University Department of Mathematics Math 350 Introduction to Abstract Algebra Fall 2015 Midterm Exam Review Solutions Practice exam questions: 1. Let V 1 R 2 be the subset of all vectors whose slope
More information1.4 Solvable Lie algebras
1.4. SOLVABLE LIE ALGEBRAS 17 1.4 Solvable Lie algebras 1.4.1 Derived series and solvable Lie algebras The derived series of a Lie algebra L is given by: L (0) = L, L (1) = [L, L],, L (2) = [L (1), L (1)
More information3.2 Constructible Numbers
102 CHAPTER 3. SYMMETRIES 3.2 Constructible Numbers Armed with a straightedge, a compass and two points 0 and 1 marked on an otherwise blank number-plane, the game is to see which complex numbers you can
More informationRepresentation Theory
Representation Theory Representations Let G be a group and V a vector space over a field k. A representation of G on V is a group homomorphism ρ : G Aut(V ). The degree (or dimension) of ρ is just dim
More informationOn the Self-dual Representations of a p-adic Group
IMRN International Mathematics Research Notices 1999, No. 8 On the Self-dual Representations of a p-adic Group Dipendra Prasad In an earlier paper [P1], we studied self-dual complex representations of
More information1 Hermitian symmetric spaces: examples and basic properties
Contents 1 Hermitian symmetric spaces: examples and basic properties 1 1.1 Almost complex manifolds............................................ 1 1.2 Hermitian manifolds................................................
More informationNotation. For any Lie group G, we set G 0 to be the connected component of the identity.
Notation. For any Lie group G, we set G 0 to be the connected component of the identity. Problem 1 Prove that GL(n, R) is homotopic to O(n, R). (Hint: Gram-Schmidt Orthogonalization.) Here is a sequence
More informationHomework set 4 - Solutions
Homework set 4 - Solutions Math 407 Renato Feres 1. Exercise 4.1, page 49 of notes. Let W := T0 m V and denote by GLW the general linear group of W, defined as the group of all linear isomorphisms of W
More informationAlgebraic groups Lecture 1
Algebraic groups Lecture Notes by Tobias Magnusson Lecturer: WG September 3, 207 Administration Registration: A sheet of paper (for registration) was passed around. The lecturers will alternate between
More informationToshiaki Shoji (Nagoya University) Character sheaves on a symmetric space and Kostka polynomials July 27, 2012, Osaka 1 / 1
Character sheaves on a symmetric space and Kostka polynomials Toshiaki Shoji Nagoya University July 27, 2012, Osaka Character sheaves on a symmetric space and Kostka polynomials July 27, 2012, Osaka 1
More informationLinear algebra 2. Yoav Zemel. March 1, 2012
Linear algebra 2 Yoav Zemel March 1, 2012 These notes were written by Yoav Zemel. The lecturer, Shmuel Berger, should not be held responsible for any mistake. Any comments are welcome at zamsh7@gmail.com.
More informationLECTURE 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 informationGEOMETRIC INVARIANT THEORY AND SYMPLECTIC QUOTIENTS
GEOMETRIC INVARIANT THEORY AND SYMPLECTIC QUOTIENTS VICTORIA HOSKINS 1. Introduction In this course we study methods for constructing quotients of group actions in algebraic and symplectic geometry and
More informationIMPORTANT DEFINITIONS AND THEOREMS REFERENCE SHEET
IMPORTANT DEFINITIONS AND THEOREMS REFERENCE SHEET This is a (not quite comprehensive) list of definitions and theorems given in Math 1553. Pay particular attention to the ones in red. Study Tip For each
More informationWOMP 2001: LINEAR ALGEBRA. 1. Vector spaces
WOMP 2001: LINEAR ALGEBRA DAN GROSSMAN Reference Roman, S Advanced Linear Algebra, GTM #135 (Not very good) Let k be a field, eg, R, Q, C, F q, K(t), 1 Vector spaces Definition A vector space over k is
More informationLECTURE 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 informationGRE Subject test preparation Spring 2016 Topic: Abstract Algebra, Linear Algebra, Number Theory.
GRE Subject test preparation Spring 2016 Topic: Abstract Algebra, Linear Algebra, Number Theory. Linear Algebra Standard matrix manipulation to compute the kernel, intersection of subspaces, column spaces,
More informationThe Lusztig-Vogan Bijection in the Case of the Trivial Representation
The Lusztig-Vogan Bijection in the Case of the Trivial Representation Alan Peng under the direction of Guangyi Yue Department of Mathematics Massachusetts Institute of Technology Research Science Institute
More informationLECTURE 16: REPRESENTATIONS OF QUIVERS
LECTURE 6: REPRESENTATIONS OF QUIVERS IVAN LOSEV Introduction Now we proceed to study representations of quivers. We start by recalling some basic definitions and constructions such as the path algebra
More informationBASIC ALGORITHMS IN LINEAR ALGEBRA. Matrices and Applications of Gaussian Elimination. A 2 x. A T m x. A 1 x A T 1. A m x
BASIC ALGORITHMS IN LINEAR ALGEBRA STEVEN DALE CUTKOSKY Matrices and Applications of Gaussian Elimination Systems of Equations Suppose that A is an n n matrix with coefficents in a field F, and x = (x,,
More informationREPRESENTATION THEORY NOTES FOR MATH 4108 SPRING 2012
REPRESENTATION THEORY NOTES FOR MATH 4108 SPRING 2012 JOSEPHINE YU This note will cover introductory material on representation theory, mostly of finite groups. The main references are the books of Serre
More informationMath 249B. Geometric Bruhat decomposition
Math 249B. Geometric Bruhat decomposition 1. Introduction Let (G, T ) be a split connected reductive group over a field k, and Φ = Φ(G, T ). Fix a positive system of roots Φ Φ, and let B be the unique
More informationDissimilarity maps on trees and the representation theory of GL n (C)
Dissimilarity maps on trees and the representation theory of GL n (C) Christopher Manon Department of Mathematics University of California, Berkeley Berkeley, California, U.S.A. chris.manon@math.berkeley.edu
More informationMath 489AB Exercises for Chapter 2 Fall Section 2.3
Math 489AB Exercises for Chapter 2 Fall 2008 Section 2.3 2.3.3. Let A M n (R). Then the eigenvalues of A are the roots of the characteristic polynomial p A (t). Since A is real, p A (t) is a polynomial
More informationMATH Linear Algebra
MATH 304 - Linear Algebra In the previous note we learned an important algorithm to produce orthogonal sequences of vectors called the Gramm-Schmidt orthogonalization process. Gramm-Schmidt orthogonalization
More informationIntroduction to Modern Quantum Field Theory
Department of Mathematics University of Texas at Arlington Arlington, TX USA Febuary, 2016 Recall Einstein s famous equation, E 2 = (Mc 2 ) 2 + (c p) 2, where c is the speed of light, M is the classical
More informationA connection between number theory and linear algebra
A connection between number theory and linear algebra Mark Steinberger Contents 1. Some basics 1 2. Rational canonical form 2 3. Prime factorization in F[x] 4 4. Units and order 5 5. Finite fields 7 6.
More informationMath 210C. The representation ring
Math 210C. The representation ring 1. Introduction Let G be a nontrivial connected compact Lie group that is semisimple and simply connected (e.g., SU(n) for n 2, Sp(n) for n 1, or Spin(n) for n 3). Let
More informationProblem Set # 1 Solution, 18.06
Problem Set # 1 Solution, 1.06 For grading: Each problem worths 10 points, and there is points of extra credit in problem. The total maximum is 100. 1. (10pts) In Lecture 1, Prof. Strang drew the cone
More informationc Igor Zelenko, Fall
c Igor Zelenko, Fall 2017 1 18: Repeated Eigenvalues: algebraic and geometric multiplicities of eigenvalues, generalized eigenvectors, and solution for systems of differential equation with repeated eigenvalues
More informationLECTURE 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 informationWhat is the Langlands program all about?
What is the Langlands program all about? Laurent Lafforgue November 13, 2013 Hua Loo-Keng Distinguished Lecture Academy of Mathematics and Systems Science, Chinese Academy of Sciences This talk is mainly
More informationc 1 v 1 + c 2 v 2 = 0 c 1 λ 1 v 1 + c 2 λ 1 v 2 = 0
LECTURE LECTURE 2 0. Distinct eigenvalues I haven t gotten around to stating the following important theorem: Theorem: A matrix with n distinct eigenvalues is diagonalizable. Proof (Sketch) Suppose n =
More informationLecture Notes Introduction to Cluster Algebra
Lecture Notes Introduction to Cluster Algebra Ivan C.H. Ip Updated: April 14, 017 Total Positivity The final and historically the original motivation is from the study of total positive matrices, which
More informationA LITTLE TASTE OF SYMPLECTIC GEOMETRY: THE SCHUR-HORN THEOREM CONTENTS
A LITTLE TASTE OF SYMPLECTIC GEOMETRY: THE SCHUR-HORN THEOREM TIMOTHY E. GOLDBERG ABSTRACT. This is a handout for a talk given at Bard College on Tuesday, 1 May 2007 by the author. It gives careful versions
More information