Linearly reductive algebraic groups and Hilbert s theorem
|
|
- Randall Freeman
- 7 years ago
- Views:
Transcription
1 Linearly reductive algebraic groups and Hilbert s theorem Matei Ionita, Nilay Kumar May 15, 2014 Throughout this note, we fix an algebraically closed field k of characteristic zero. All algebraic varieties are taken to be affine and irreducible. 1 Basic Definitions We begin with the definition of an algebraic group: Definition 1.1. Let G be an (affine) variety equipped with a morphism µ : G G G such that the set of points of G with the operation given by µ is a group, and the operation of inversion i : G G is a morphism. In this case we say that (G, µ, i) is an algebraic group. We take morphisms between two algebraic groups to be maps that are simultaneously morphisms of varieties and group homomorphisms. In particular, we define a linear algebraic group to be a closed subgroup of some GL(n). The basic object of study is, of course, a representation: Definition 1.2. Let V be a k-vector space. We say that ρ : G GL(V ) is an (algebraic) representation of G if ρ is a morphism of algebraic groups. By abuse of notation we will denote the representation by V and ρ(g)v by g v. A subrepresentation of V is a vector subspace W V such that ρ(g)w = W for all g G, i.e. W is G-invariant as a subspace of V. We say that V is reducible if it contains a non-trivial subrepresentation and irreducible otherwise. Finally, we denote by V G = {v V g v = v for all g G} the invariant subspace of V under G. We take morphisms between two representations of G to be G-equivariant linear maps, i.e. linear maps commuting with ρ. It will be convenient for our purposes to consider instead the category dual to the category of G-representations above. Definition 1.3. Let G be an affine algebraic group over k, and A be the coordinate ring of G. An algebraic corepresentation of the group G is a vector space V over k together with a linear map µ V : V V k A, which satisfies the following two conditions: 1. Let ɛ : A k be the coidentity, i.e. the map that evaluates f A on the identity of G. The composition µ V 1 ɛ V V k A V is the identity in V. 1
2 2. Let µ A : A A k A be the comultiplication. Then the following diagram commutes: V µ V V k A µ V µv 1 A V k A 1 V µ A V k A k A Remark. There are several remarks to be made here. First let us make explicit the duality between corepresentations and representations. We regard the vector space in Definition 1.3 as the dual V of the vector space V in Definition 1.2, which is allowed because V = V. Then a corepresentation is a linear map µ V : V V k A. This can be extended to a ring homomorphism on the polynomial algebra of V as µ V : Sym V Sym V k A. Note that Sym V and A are finitely generated k-algebras, which are the affine coordinate rings of V and G respectively. Then µ V induces a morphism ρ of affine varieties: ρ : G V V. The duals of properties (1) and (2), stated below, make this morphism into a group action: 1. Let e G be the identity. Then the following composition is the identity in V : V (e,v) G V ρ V i.e. ρ(e, v) = v. 2. Let m : G G G be the group operation. Then the following diagram commutes: G G V (e,ρ) G V In other words, ρ(g 1 g 2, v) = ρ(g 1, ρ(g 2, v)). (m,1 V ) ρ G V V ρ The fact that µ V is linear shows that ρ is linear on the V factor. Moreover, using (1) and (2) we see that ρ(g 1, ρ(g, v)) = v. These facts allow us to think of ρ as a homomorphism from G to GL(V ), so we obtain a representation of G on V. This construction is clearly invertible, i.e. starting from a representation ρ and dualizing will give a ring homomorphism ρ : Sym V Sym V k A, where ρ is the pullback by ρ. Since ρ is linear on the V factor, ρ is linear, so in particular it takes V to V k A. The map µ V in the definition of a corepresentation is precisely the restriction of ρ to V. Definition 1.4. Let µ : V V A be a corepresentation of a group G. We say that a vector x V is G-invariant if µ(x) = x 1 and we denote the G-invariant subspace of all such vectors by V G. Moreover, a subspace U V is called a subrepresentation if µ(u) U A and V is called irreducible if it has no non-trivial subrepresentations. The following property demonstrates the utility of corepresentations. Proposition 1.5. Every corepresentation V of G is locally finite-dimensional, i.e. every x V is contained in a finite-dimensional corepresentation of G. Proof. See [2], Proposition
3 We illustrate the concepts just introduced for two simple examples: the multiplicative group G m and the additive group G a. Definition 1.6. Given a vector space V and an integer m Z, it s easy to see that the map V V k[t, t 1 ] v v t m is a corepresentation of G m. It is called the corepresentation of weight m, and we denote it by V (m). Proposition 1.7. Every corepresentation V of G m is a direct sum V = m Z V (m) Proof. See [2], Proposition 4.7. Proposition 1.8. Every corepresentation V of G a is given by µ(v) = n=0 f n (v) sn n! for some endomorphism f End(V ) which is locally nilpotent (that is, for every v, there exists some n such that f n (v) = 0). Proof. See [2], Proposition Linear Reductivity We now restrict ourselves to linearly reductive algebraic groups, whose representations and corepresentations, as we shall see, decompose quite simply. Definition 2.1. An algebraic group G is said to be linearly reductive if for every epimorphism φ : V W of G-corepresentations the induced map on G-invariants φ G : V G W G is surjective. There are a few equivalent definitions that are useful. Proposition 2.2. The following are equivalent: 1. G is linearly reductive. 2. For every epimorphism φ : V W of finite-dimensional representations the induced map on G-invariants φ G : V G W G is surjective. 3. If V is any finite-dimensional representation and v V is G-invariant modulo a proper subrepresentation U V, then the coset v + U contains a nontrivial G-invariant vector. Proof. See [2], Proposition As a first example, we note the following: Proposition 2.3. Every finite group G is linearly reductive. 3
4 Proof. Let V be a finite-dimensional corepresentation and v V be a vector invariant modulo a subrepresentation U V. Defining v = 1 g v, G we find that v is G-invariant and v v = 1 G g G (g v v), which is contained in U. This satisfies condition (3) above, and hence G is linearly reductive. g G Example 2.4. The additive group G a is not linearly reductive. Indeed, consider the two-dimensional representation given by ( ) 1 t t. 1 Then the restriction to the x-axis k[x, y] k[x, y]/(y) = k[x] is a surjective homomorphism of G a -representations. But k[x, y] Ga = k[y] and k[x] Ga = k[x] and hence the corresponding map on invariants is not surjective. Theorem 2.5. G is linearly reductive if and only if every finite-dimensional corepresentation V of G is completely reducible, i.e. V splits as a direct sum of irreducible corepresentations. Proof. It suffices to show that any finite-dimensional corepresentation V of G with a subrepresentation W decomposes as a direct sum of corepresentations V = W W. Consider first Hom k (V, W ) and Hom k (W, W ), as spaces of linear maps, as G-corepresentations. Linear reductivity of G implies that the surjective restriction map Hom k (V, W ) Hom k (W, W ) induces a surjective map Hom k (V, W ) G Hom k (W, W ) G. Note now that Hom k (V, W ) G is precisely those morphisms that are G-equivariant, i.e. morphisms of G-corepresentations. Consider now the identity morphism Id W Hom k (W, W ) G, which lifts via surjectivity to a φ Hom k (V, W ). Denoting W = ker φ, we obtain a short exact sequence of G-corepresentations 0 W φ V W 0. Treating the identity Id W as the inclusion ι : W V, we find that φ ι = Id W : W W, and hence we obtain a splitting V = W W. Consider a surjective map φ : V W of G-corepresentations. By hypothesis, the above sequence splits. W and W are each stable under G, therefore V G = W G W G, and hence the induced map V G W G is surjective. This characterization of linearly reductive groups shows their importance; one can hope to classify the irreducible (co)representations and express arbitrary (co)representations as direct sums of these. Moreover, the linearly reductive groups are the ones Hilbert s theorem holds for. For the rest of this section, we focus on discussing examples of linearly reductive groups, so that, when we prove Hilbert s theorem, we already know what kind of groups it applies to. As a first example, Proposition 1.8 shows that G m is linearly reductive. Furthermore, it is a basic fact in the representation theory of Lie groups that compact Lie groups are linearly reductive (where compactness is taken in the sense of the Euclidean topology). The proof of this is analytic, and we do not give it here. The idea is to generalize the proof of Proposition 2.3, by replacing the sum over 4
5 elements of g with an integral over the compact group G. The technical difficulty lies in defining an invariant measure on G, known as the Haar measure. We are interested in proving that certain noncompact linear algebraic groups are linearly reductive. An important family of groups for which this holds are the complex special linear groups SL(n, C). Our proof is based on Weyl s unitary trick, which is a way of using the representation theory of compact subgroups, known to be linearly reductive, to get information about noncompact groups, such as SL(n, C). We begin by proving the following lemma about linear algebraic groups. For the remainder of the section, we assume that k = C. Lemma 2.6. Let G be a linear algebraic group, and K a subgroup of G that is Zariski-dense in G and is compact in the Euclidean topology. Then G is linearly reductive. Proof. Let V W be a surjective morphism of G-corepresentations. Clearly V and W are also corepresentations of K. But K is compact, and we assumed that all compact groups are linearly reductive. This gives a surjection V K W K. We claim that, in fact, V K = V G and W K = W G. Note that this proves that V G W G is surjective, which is enough to conclude that G is linearly reductive. Clearly V G V K as K is a subgroup of G. To see that V K V G, we fix v V K and, using the equivalence of representations and corepresentations, we have a morphism of affine varieties φ : G {v} V φ is continuous, therefore φ 1 v is Zariski closed in G {v}. But, since v V K, K {v} φ 1 v, so K {v} φ 1 v. Since K is Zariski dense in G, this means G {v} φ 1 v, so v V G. This lemma gives an easy way to prove that a linear algebraic group G is linearly reductive: we simply need to exhibit a compact, Zariski dense subgroup K. For example, an easy proof that G m = GL(1) is linearly reductive uses the compact subgroup U(1) of GL(1). Since GL(1) is 1- dimensional, any closed subset is either finite or the whole of GL(1). U(1) is infinite, therefore U(1) = GL(1). In the next proposition, we apply Lemma 2.6 to show that SL(n) is linearly reductive by taking K = SU(n). The proof of density of SU(n) in SL(n) follows [1]. The following elementary lemma will be useful. Lemma 2.7. Let V be an R-vector space and let f : V R C C be a holomorphic function such that f(v R R) = 0. Then f is identically zero. Proof. Suppose dim V = 1. Then it is a basic complex-analytic fact that if f : C C holomorphic vanishes on the real line, f must be identically zero. If dim V = n, we have f holomorphic satisfying f(x 1,..., x n ) for all x i R. Viewing f as a function of the first variable by fixing x 2,..., x n, we find using the reasoning of the n = 1 case that f(z 1, x 2,..., x n ) = 0 for all z 1 C. Repeating this argument, we find that f(z 1,..., z n ) = 0 for all z i C. Proposition 2.8. SL(n, C) is linearly reductive. Proof. Using Lemma 2.6, it suffices to show that SU(n) is Zariski-dense in SL(n). Suppose not then there exists an f k[sl(n)] not identically zero but satisfying f(su(n)) = 0. Consider now the Lie algebra su(n), which is a real subspace of sl(n) with the property that su(n) R C = sl(n). Note now that the exponential map exp : sl(n) SL(n) is holomorphic and maps su(n) sl(n) to SU(n). Thus the composition f exp : sl(n) C is holomorphic and satisfies f(exp su(n)) = 0. By the previous lemma, f exp must be identically zero on sl(n), whence f must be identically zero, contradicting our original assumption. 5
6 Remark. The proof of Proposition 2.8 did not use any particular features of SL(n), apart from the fact that its Lie algebra sl(n) has a compact real form su(n). Therefore the same proof generalizes to other linear algebraic groups G, as long as we can find a compact real form for Lie(G). In particular, for G = GL(n), we have u(n) R C = gl(n), so we can take K = U(n), which proves that GL(n) is linearly reductive. Similarly, for the symplectic group SL(2n, C), let U(n, H) be the quaternionic unitary group, which is compact; we have u(n, H) R C = sp(2n, C), which proves that Sp(2n, C) is linearly reductive. 3 Hilbert s Theorem In this section we obtain an impressive payoff for the somewhat nontransparent definitions of corepresentations and linear reductivity. Under this formalism, the proof of Hilbert s theorem on the finite generation of rings of invariants is almost trivial. Before we study the theorem itself, we give some motivation for our interest in this result. Suppose we have an action of a linear algebraic group G on an affine variety X. We look at the quotient X/G, i.e. the set of orbits in X under G, and ask whether it is also an affine variety. In most cases it will not: if there exists an orbit which is not Zariski closed in X, then the corresponding point in X/G is not closed, so we need the formalism of schemes in order to talk about the quotient. However, in the case that X/G is an affine variety, the easiest way to describe it is through its coordinate ring. An obvious candidate for this is (A[X]) G, the ring of invariants under G. We would like, then, for this ring to be finitely generated over k, since the equivalence of categories between finitely generated k-algebras and affine varieties will give an affine variety structure on X/G. That being said, we turn to Hilbert s theorem. We follow the proof in [2], Theorem Theorem 3.1 (Hilbert). Let G be a linearly reductive algebraic group, which acts on a polynomial ring S, preserving the grading. Then the ring of invariant polynomials S G is finitely generated. Proof. The invariant ring inherits a grading from S: S G = e 0 S G S e It s useful to consider S G +, the span of the invariants of positive degree, and the ideal J that S G + generates in S. Since S is Noetherian, J is generated by finitely many polynomials f 1,..., f N S G +. This means that the following S-module homomorphism is surjective. φ : S S J N (h 1,..., h N ) h i f i We claim that f 1,..., f N generate S G. To see this, we pick a homogenous invariant h S G. We use induction on deg h to show that h k[f 1,..., f N ]. If deg h = 0, then this is clear. For deg h > 0, h S G +, so in paticular h J G. The map φ above is a surjective morphism of G corepresentations, so since G is linearly reductive the induced map i=1 S G S G J G 6
7 is also surjective. Therefore there exist h 1,..., h N SG such that h = N h if i i=1 The f i have positive degree, therefore deg h i < deg h for all i. By the inductive hypothesis, this means h i k[f 1,..., f N ], so h k[f 1,..., f N ]. We are now interested in generalizing Hilbert s theorem by replacing the polynomial ring S with an arbitrary finitely generated k-algebra R. The following lemma will be useful in the proof. Lemma 3.2. Let G be a linear algebraic group that acts on a finitely generated k-algebra R. Then there exists a set of generators r 1,..., r N for R such that the linear span of r 1,..., r N is a G- invariant vector subspace of R. Proof. Let f 1,..., f M be any set of generators. By Proposition 1.6, each f i is contained in a finite dimensional corepresentation V i R. Consider V = i V i; it is G-invariant because each of its factors is, and it is finite dimensional. Therefore we can take r 1,..., r N to be any basis of V. Apart from being useful in the following proof, this lemma has a useful geometric interpretation. Let X be the affine algebraic variety corresponding to R. The lemma gives a surjective morphism of corepresentations Sym(V ) R. This corresponds to an injective, G-equivariant morphism of affine varieties X V = A N In other words, every affine variety X can be equivariantly embedded in an affine space on which G acts linearly. Theorem 3.3. Let G be a linearly reductive algebraic group, which acts on a finitely generated k-algebra R. Then the invariant ring R G is finitely generated. Proof. As in the remark above, the choice of generators r 1,..., r N homomorphism: gives a surjective k-algebra S = k[x 1,..., x N ] φ R x i r i This map induces a corepresentation of G on S, by composition with the corepresentation µ of G on R: S φ R µ R A S A Note that R A S A is generally not a homomorphism, since R is a quotient of S, and not a subalgebra. However, the definition of a corepresentation only requires a linear map between vector spaces, which is clearly satisfied here. By Hilbert s theorem, S G is finitely generated; let f 1,..., f k be generators. Now, since G is linearly reductive, the map S G R G induced by φ is surjective, so R G is generated by φ(f 1 ),..., φ(f k ). 7
8 References [1] Darij Grinberg, Symmetric subspace of linear operators (answer), MathOverflow, URL: http: //mathoverflow.net/a/43474 (visited on ). [2] Shigeru Mukai, An introduction to invariants and moduli, Cambridge University Press,
3. Prime and maximal ideals. 3.1. Definitions and Examples.
COMMUTATIVE ALGEBRA 5 3.1. Definitions and Examples. 3. Prime and maximal ideals Definition. An ideal P in a ring A is called prime if P A and if for every pair x, y of elements in A\P we have xy P. Equivalently,
More informationGROUP ALGEBRAS. ANDREI YAFAEV
GROUP ALGEBRAS. ANDREI YAFAEV We will associate a certain algebra to a finite group and prove that it is semisimple. Then we will apply Wedderburn s theory to its study. Definition 0.1. Let G be a finite
More informationMatrix Representations of Linear Transformations and Changes of Coordinates
Matrix Representations of Linear Transformations and Changes of Coordinates 01 Subspaces and Bases 011 Definitions A subspace V of R n is a subset of R n that contains the zero element and is closed under
More informationNOTES ON LINEAR TRANSFORMATIONS
NOTES ON LINEAR TRANSFORMATIONS Definition 1. Let V and W be vector spaces. A function T : V W is a linear transformation from V to W if the following two properties hold. i T v + v = T v + T v for all
More informationI. GROUPS: BASIC DEFINITIONS AND EXAMPLES
I GROUPS: BASIC DEFINITIONS AND EXAMPLES Definition 1: An operation on a set G is a function : G G G Definition 2: A group is a set G which is equipped with an operation and a special element e G, called
More informationFOUNDATIONS OF ALGEBRAIC GEOMETRY CLASS 22
FOUNDATIONS OF ALGEBRAIC GEOMETRY CLASS 22 RAVI VAKIL CONTENTS 1. Discrete valuation rings: Dimension 1 Noetherian regular local rings 1 Last day, we discussed the Zariski tangent space, and saw that it
More informationFUNCTIONAL ANALYSIS LECTURE NOTES: QUOTIENT SPACES
FUNCTIONAL ANALYSIS LECTURE NOTES: QUOTIENT SPACES CHRISTOPHER HEIL 1. Cosets and the Quotient Space Any vector space is an abelian group under the operation of vector addition. So, if you are have studied
More informationMathematics Course 111: Algebra I Part IV: Vector Spaces
Mathematics Course 111: Algebra I Part IV: Vector Spaces D. R. Wilkins Academic Year 1996-7 9 Vector Spaces A vector space over some field K is an algebraic structure consisting of a set V on which are
More informationBABY VERMA MODULES FOR RATIONAL CHEREDNIK ALGEBRAS
BABY VERMA MODULES FOR RATIONAL CHEREDNIK ALGEBRAS SETH SHELLEY-ABRAHAMSON Abstract. These are notes for a talk in the MIT-Northeastern Spring 2015 Geometric Representation Theory Seminar. The main source
More informationMath 4310 Handout - Quotient Vector Spaces
Math 4310 Handout - Quotient Vector Spaces Dan Collins The textbook defines a subspace of a vector space in Chapter 4, but it avoids ever discussing the notion of a quotient space. This is understandable
More informationTHE DIMENSION OF A VECTOR SPACE
THE DIMENSION OF A VECTOR SPACE KEITH CONRAD This handout is a supplementary discussion leading up to the definition of dimension and some of its basic properties. Let V be a vector space over a field
More informationChapter 4, Arithmetic in F [x] Polynomial arithmetic and the division algorithm.
Chapter 4, Arithmetic in F [x] Polynomial arithmetic and the division algorithm. We begin by defining the ring of polynomials with coefficients in a ring R. After some preliminary results, we specialize
More information9. Quotient Groups Given a group G and a subgroup H, under what circumstances can we find a homomorphism φ: G G ', such that H is the kernel of φ?
9. Quotient Groups Given a group G and a subgroup H, under what circumstances can we find a homomorphism φ: G G ', such that H is the kernel of φ? Clearly a necessary condition is that H is normal in G.
More informationTHE FUNDAMENTAL THEOREM OF ALGEBRA VIA PROPER MAPS
THE FUNDAMENTAL THEOREM OF ALGEBRA VIA PROPER MAPS KEITH CONRAD 1. Introduction The Fundamental Theorem of Algebra says every nonconstant polynomial with complex coefficients can be factored into linear
More informationFinite dimensional topological vector spaces
Chapter 3 Finite dimensional topological vector spaces 3.1 Finite dimensional Hausdorff t.v.s. Let X be a vector space over the field K of real or complex numbers. We know from linear algebra that the
More informationit is easy to see that α = a
21. Polynomial rings Let us now turn out attention to determining the prime elements of a polynomial ring, where the coefficient ring is a field. We already know that such a polynomial ring is a UF. Therefore
More informationINTRODUCTION TO ALGEBRAIC GEOMETRY, CLASS 16
INTRODUCTION TO ALGEBRAIC GEOMETRY, CLASS 16 RAVI VAKIL Contents 1. Valuation rings (and non-singular points of curves) 1 1.1. Completions 2 1.2. A big result from commutative algebra 3 Problem sets back.
More informationFIBER PRODUCTS AND ZARISKI SHEAVES
FIBER PRODUCTS AND ZARISKI SHEAVES BRIAN OSSERMAN 1. Fiber products and Zariski sheaves We recall the definition of a fiber product: Definition 1.1. Let C be a category, and X, Y, Z objects of C. Fix also
More information5. Linear algebra I: dimension
5. Linear algebra I: dimension 5.1 Some simple results 5.2 Bases and dimension 5.3 Homomorphisms and dimension 1. Some simple results Several observations should be made. Once stated explicitly, the proofs
More informationNOTES ON CATEGORIES AND FUNCTORS
NOTES ON CATEGORIES AND FUNCTORS These notes collect basic definitions and facts about categories and functors that have been mentioned in the Homological Algebra course. For further reading about category
More informationFinite dimensional C -algebras
Finite dimensional C -algebras S. Sundar September 14, 2012 Throughout H, K stand for finite dimensional Hilbert spaces. 1 Spectral theorem for self-adjoint opertors Let A B(H) and let {ξ 1, ξ 2,, ξ n
More informationQuotient Rings and Field Extensions
Chapter 5 Quotient Rings and Field Extensions In this chapter we describe a method for producing field extension of a given field. If F is a field, then a field extension is a field K that contains F.
More information1 Homework 1. [p 0 q i+j +... + p i 1 q j+1 ] + [p i q j ] + [p i+1 q j 1 +... + p i+j q 0 ]
1 Homework 1 (1) Prove the ideal (3,x) is a maximal ideal in Z[x]. SOLUTION: Suppose we expand this ideal by including another generator polynomial, P / (3, x). Write P = n + x Q with n an integer not
More informationGroup Theory. Contents
Group Theory Contents Chapter 1: Review... 2 Chapter 2: Permutation Groups and Group Actions... 3 Orbits and Transitivity... 6 Specific Actions The Right regular and coset actions... 8 The Conjugation
More informationCLUSTER ALGEBRAS AND CATEGORIFICATION TALKS: QUIVERS AND AUSLANDER-REITEN THEORY
CLUSTER ALGEBRAS AND CATEGORIFICATION TALKS: QUIVERS AND AUSLANDER-REITEN THEORY ANDREW T. CARROLL Notes for this talk come primarily from two sources: M. Barot, ICTP Notes Representations of Quivers,
More informationAlgebraic Geometry. Keerthi Madapusi
Algebraic Geometry Keerthi Madapusi Contents Chapter 1. Schemes 5 1. Spec of a Ring 5 2. Schemes 11 3. The Affine Communication Lemma 13 4. A Criterion for Affineness 15 5. Irreducibility and Connectedness
More informationThe cover SU(2) SO(3) and related topics
The cover SU(2) SO(3) and related topics Iordan Ganev December 2011 Abstract The subgroup U of unit quaternions is isomorphic to SU(2) and is a double cover of SO(3). This allows a simple computation of
More informationLinear Maps. Isaiah Lankham, Bruno Nachtergaele, Anne Schilling (February 5, 2007)
MAT067 University of California, Davis Winter 2007 Linear Maps Isaiah Lankham, Bruno Nachtergaele, Anne Schilling (February 5, 2007) As we have discussed in the lecture on What is Linear Algebra? one of
More informationGalois Theory III. 3.1. Splitting fields.
Galois Theory III. 3.1. Splitting fields. We know how to construct a field extension L of a given field K where a given irreducible polynomial P (X) K[X] has a root. We need a field extension of K where
More informationRow Ideals and Fibers of Morphisms
Michigan Math. J. 57 (2008) Row Ideals and Fibers of Morphisms David Eisenbud & Bernd Ulrich Affectionately dedicated to Mel Hochster, who has been an inspiration to us for many years, on the occasion
More information4.1 Modules, Homomorphisms, and Exact Sequences
Chapter 4 Modules We always assume that R is a ring with unity 1 R. 4.1 Modules, Homomorphisms, and Exact Sequences A fundamental example of groups is the symmetric group S Ω on a set Ω. By Cayley s Theorem,
More information7. Some irreducible polynomials
7. Some irreducible polynomials 7.1 Irreducibles over a finite field 7.2 Worked examples Linear factors x α of a polynomial P (x) with coefficients in a field k correspond precisely to roots α k [1] of
More informationAllen Back. Oct. 29, 2009
Allen Back Oct. 29, 2009 Notation:(anachronistic) Let the coefficient ring k be Q in the case of toral ( (S 1 ) n) actions and Z p in the case of Z p tori ( (Z p )). Notation:(anachronistic) Let the coefficient
More informationON GALOIS REALIZATIONS OF THE 2-COVERABLE SYMMETRIC AND ALTERNATING GROUPS
ON GALOIS REALIZATIONS OF THE 2-COVERABLE SYMMETRIC AND ALTERNATING GROUPS DANIEL RABAYEV AND JACK SONN Abstract. Let f(x) be a monic polynomial in Z[x] with no rational roots but with roots in Q p for
More informationALGEBRA HW 5 CLAY SHONKWILER
ALGEBRA HW 5 CLAY SHONKWILER 510.5 Let F = Q(i). Prove that x 3 and x 3 3 are irreducible over F. Proof. If x 3 is reducible over F then, since it is a polynomial of degree 3, it must reduce into a product
More informationEXERCISES FOR THE COURSE MATH 570, FALL 2010
EXERCISES FOR THE COURSE MATH 570, FALL 2010 EYAL Z. GOREN (1) Let G be a group and H Z(G) a subgroup such that G/H is cyclic. Prove that G is abelian. Conclude that every group of order p 2 (p a prime
More informationIntroduction to Algebraic Geometry. Bézout s Theorem and Inflection Points
Introduction to Algebraic Geometry Bézout s Theorem and Inflection Points 1. The resultant. Let K be a field. Then the polynomial ring K[x] is a unique factorisation domain (UFD). Another example of a
More informationLINEAR ALGEBRA W W L CHEN
LINEAR ALGEBRA W W L CHEN c W W L Chen, 1997, 2008 This chapter is available free to all individuals, on understanding that it is not to be used for financial gain, and may be downloaded and/or photocopied,
More information16.3 Fredholm Operators
Lectures 16 and 17 16.3 Fredholm Operators A nice way to think about compact operators is to show that set of compact operators is the closure of the set of finite rank operator in operator norm. In this
More informationSystems of Linear Equations
Systems of Linear Equations Beifang Chen Systems of linear equations Linear systems A linear equation in variables x, x,, x n is an equation of the form a x + a x + + a n x n = b, where a, a,, a n and
More information(a) Write each of p and q as a polynomial in x with coefficients in Z[y, z]. deg(p) = 7 deg(q) = 9
Homework #01, due 1/20/10 = 9.1.2, 9.1.4, 9.1.6, 9.1.8, 9.2.3 Additional problems for study: 9.1.1, 9.1.3, 9.1.5, 9.1.13, 9.2.1, 9.2.2, 9.2.4, 9.2.5, 9.2.6, 9.3.2, 9.3.3 9.1.1 (This problem was not assigned
More informationBANACH AND HILBERT SPACE REVIEW
BANACH AND HILBET SPACE EVIEW CHISTOPHE HEIL These notes will briefly review some basic concepts related to the theory of Banach and Hilbert spaces. We are not trying to give a complete development, but
More informationMATH10212 Linear Algebra. Systems of Linear Equations. Definition. An n-dimensional vector is a row or a column of n numbers (or letters): a 1.
MATH10212 Linear Algebra Textbook: D. Poole, Linear Algebra: A Modern Introduction. Thompson, 2006. ISBN 0-534-40596-7. Systems of Linear Equations Definition. An n-dimensional vector is a row or a column
More informationLinear Algebra. A vector space (over R) is an ordered quadruple. such that V is a set; 0 V ; and the following eight axioms hold:
Linear Algebra A vector space (over R) is an ordered quadruple (V, 0, α, µ) such that V is a set; 0 V ; and the following eight axioms hold: α : V V V and µ : R V V ; (i) α(α(u, v), w) = α(u, α(v, w)),
More informationGROUPS ACTING ON A SET
GROUPS ACTING ON A SET MATH 435 SPRING 2012 NOTES FROM FEBRUARY 27TH, 2012 1. Left group actions Definition 1.1. Suppose that G is a group and S is a set. A left (group) action of G on S is a rule for
More informationRIGIDITY OF HOLOMORPHIC MAPS BETWEEN FIBER SPACES
RIGIDITY OF HOLOMORPHIC MAPS BETWEEN FIBER SPACES GAUTAM BHARALI AND INDRANIL BISWAS Abstract. In the study of holomorphic maps, the term rigidity refers to certain types of results that give us very specific
More informationTechniques algébriques en calcul quantique
Techniques algébriques en calcul quantique E. Jeandel Laboratoire de l Informatique du Parallélisme LIP, ENS Lyon, CNRS, INRIA, UCB Lyon 8 Avril 25 E. Jeandel, LIP, ENS Lyon Techniques algébriques en calcul
More informationContinued Fractions and the Euclidean Algorithm
Continued Fractions and the Euclidean Algorithm Lecture notes prepared for MATH 326, Spring 997 Department of Mathematics and Statistics University at Albany William F Hammond Table of Contents Introduction
More informationarxiv:quant-ph/0603009v3 8 Sep 2006
Deciding universality of quantum gates arxiv:quant-ph/0603009v3 8 Sep 2006 Gábor Ivanyos February 1, 2008 Abstract We say that collection of n-qudit gates is universal if there exists N 0 n such that for
More informationLEARNING OBJECTIVES FOR THIS CHAPTER
CHAPTER 2 American mathematician Paul Halmos (1916 2006), who in 1942 published the first modern linear algebra book. The title of Halmos s book was the same as the title of this chapter. Finite-Dimensional
More informationGeneric Polynomials of Degree Three
Generic Polynomials of Degree Three Benjamin C. Wallace April 2012 1 Introduction In the nineteenth century, the mathematician Évariste Galois discovered an elegant solution to the fundamental problem
More informationAnalytic cohomology groups in top degrees of Zariski open sets in P n
Analytic cohomology groups in top degrees of Zariski open sets in P n Gabriel Chiriacescu, Mihnea Colţoiu, Cezar Joiţa Dedicated to Professor Cabiria Andreian Cazacu on her 80 th birthday 1 Introduction
More informationMath 231b Lecture 35. G. Quick
Math 231b Lecture 35 G. Quick 35. Lecture 35: Sphere bundles and the Adams conjecture 35.1. Sphere bundles. Let X be a connected finite cell complex. We saw that the J-homomorphism could be defined by
More informationCOHOMOLOGY OF GROUPS
Actes, Congrès intern. Math., 1970. Tome 2, p. 47 à 51. COHOMOLOGY OF GROUPS by Daniel QUILLEN * This is a report of research done at the Institute for Advanced Study the past year. It includes some general
More informationFACTORING POLYNOMIALS IN THE RING OF FORMAL POWER SERIES OVER Z
FACTORING POLYNOMIALS IN THE RING OF FORMAL POWER SERIES OVER Z DANIEL BIRMAJER, JUAN B GIL, AND MICHAEL WEINER Abstract We consider polynomials with integer coefficients and discuss their factorization
More informationHow To Prove The Dirichlet Unit Theorem
Chapter 6 The Dirichlet Unit Theorem As usual, we will be working in the ring B of algebraic integers of a number field L. Two factorizations of an element of B are regarded as essentially the same if
More informationPOLYNOMIAL RINGS AND UNIQUE FACTORIZATION DOMAINS
POLYNOMIAL RINGS AND UNIQUE FACTORIZATION DOMAINS RUSS WOODROOFE 1. Unique Factorization Domains Throughout the following, we think of R as sitting inside R[x] as the constant polynomials (of degree 0).
More informationIRREDUCIBLE OPERATOR SEMIGROUPS SUCH THAT AB AND BA ARE PROPORTIONAL. 1. Introduction
IRREDUCIBLE OPERATOR SEMIGROUPS SUCH THAT AB AND BA ARE PROPORTIONAL R. DRNOVŠEK, T. KOŠIR Dedicated to Prof. Heydar Radjavi on the occasion of his seventieth birthday. Abstract. Let S be an irreducible
More informationMA651 Topology. Lecture 6. Separation Axioms.
MA651 Topology. Lecture 6. Separation Axioms. This text is based on the following books: Fundamental concepts of topology by Peter O Neil Elements of Mathematics: General Topology by Nicolas Bourbaki Counterexamples
More informationSOLUTIONS TO ASSIGNMENT 1 MATH 576
SOLUTIONS TO ASSIGNMENT 1 MATH 576 SOLUTIONS BY OLIVIER MARTIN 13 #5. Let T be the topology generated by A on X. We want to show T = J B J where B is the set of all topologies J on X with A J. This amounts
More informationGROUPS WITH TWO EXTREME CHARACTER DEGREES AND THEIR NORMAL SUBGROUPS
GROUPS WITH TWO EXTREME CHARACTER DEGREES AND THEIR NORMAL SUBGROUPS GUSTAVO A. FERNÁNDEZ-ALCOBER AND ALEXANDER MORETÓ Abstract. We study the finite groups G for which the set cd(g) of irreducible complex
More informationFIELD DEGREES AND MULTIPLICITIES FOR NON-INTEGRAL EXTENSIONS
Illinois Journal of Mathematics Volume 51, Number 1, Spring 2007, Pages 299 311 S 0019-2082 FIELD DEGREES AND MULTIPLICITIES FOR NON-INTEGRAL EXTENSIONS BERND ULRICH AND CLARENCE W. WILKERSON Dedicated
More informationGröbner Bases and their Applications
Gröbner Bases and their Applications Kaitlyn Moran July 30, 2008 1 Introduction We know from the Hilbert Basis Theorem that any ideal in a polynomial ring over a field is finitely generated [3]. However,
More information1 Sets and Set Notation.
LINEAR ALGEBRA MATH 27.6 SPRING 23 (COHEN) LECTURE NOTES Sets and Set Notation. Definition (Naive Definition of a Set). A set is any collection of objects, called the elements of that set. We will most
More informationLet H and J be as in the above lemma. The result of the lemma shows that the integral
Let and be as in the above lemma. The result of the lemma shows that the integral ( f(x, y)dy) dx is well defined; we denote it by f(x, y)dydx. By symmetry, also the integral ( f(x, y)dx) dy is well defined;
More informationBILINEAR FORMS KEITH CONRAD
BILINEAR FORMS KEITH CONRAD The geometry of R n is controlled algebraically by the dot product. We will abstract the dot product on R n to a bilinear form on a vector space and study algebraic and geometric
More informationSMALL SKEW FIELDS CÉDRIC MILLIET
SMALL SKEW FIELDS CÉDRIC MILLIET Abstract A division ring of positive characteristic with countably many pure types is a field Wedderburn showed in 1905 that finite fields are commutative As for infinite
More information1 Local Brouwer degree
1 Local Brouwer degree Let D R n be an open set and f : S R n be continuous, D S and c R n. Suppose that the set f 1 (c) D is compact. (1) Then the local Brouwer degree of f at c in the set D is defined.
More informationSOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 3. Spaces with special properties
SOLUTIONS TO EXERCISES FOR MATHEMATICS 205A Part 3 Fall 2008 III. Spaces with special properties III.1 : Compact spaces I Problems from Munkres, 26, pp. 170 172 3. Show that a finite union of compact subspaces
More informationClassification of Cartan matrices
Chapter 7 Classification of Cartan matrices In this chapter we describe a classification of generalised Cartan matrices This classification can be compared as the rough classification of varieties in terms
More informationNon-unique factorization of polynomials over residue class rings of the integers
Comm. Algebra 39(4) 2011, pp 1482 1490 Non-unique factorization of polynomials over residue class rings of the integers Christopher Frei and Sophie Frisch Abstract. We investigate non-unique factorization
More informationIdeal Class Group and Units
Chapter 4 Ideal Class Group and Units We are now interested in understanding two aspects of ring of integers of number fields: how principal they are (that is, what is the proportion of principal ideals
More informationChapter 13: Basic ring theory
Chapter 3: Basic ring theory Matthew Macauley Department of Mathematical Sciences Clemson University http://www.math.clemson.edu/~macaule/ Math 42, Spring 24 M. Macauley (Clemson) Chapter 3: Basic ring
More informationIntroduction to Topology
Introduction to Topology Tomoo Matsumura November 30, 2010 Contents 1 Topological spaces 3 1.1 Basis of a Topology......................................... 3 1.2 Comparing Topologies.......................................
More informationIntroduction to Modern Algebra
Introduction to Modern Algebra David Joyce Clark University Version 0.0.6, 3 Oct 2008 1 1 Copyright (C) 2008. ii I dedicate this book to my friend and colleague Arthur Chou. Arthur encouraged me to write
More informationLecture 18 - Clifford Algebras and Spin groups
Lecture 18 - Clifford Algebras and Spin groups April 5, 2013 Reference: Lawson and Michelsohn, Spin Geometry. 1 Universal Property If V is a vector space over R or C, let q be any quadratic form, meaning
More informationOrthogonal Diagonalization of Symmetric Matrices
MATH10212 Linear Algebra Brief lecture notes 57 Gram Schmidt Process enables us to find an orthogonal basis of a subspace. Let u 1,..., u k be a basis of a subspace V of R n. We begin the process of finding
More informationInner Product Spaces
Math 571 Inner Product Spaces 1. Preliminaries An inner product space is a vector space V along with a function, called an inner product which associates each pair of vectors u, v with a scalar u, v, and
More informationCONSEQUENCES OF THE SYLOW THEOREMS
CONSEQUENCES OF THE SYLOW THEOREMS KEITH CONRAD For a group theorist, Sylow s Theorem is such a basic tool, and so fundamental, that it is used almost without thinking, like breathing. Geoff Robinson 1.
More informationMA106 Linear Algebra lecture notes
MA106 Linear Algebra lecture notes Lecturers: Martin Bright and Daan Krammer Warwick, January 2011 Contents 1 Number systems and fields 3 1.1 Axioms for number systems......................... 3 2 Vector
More informationMetric Spaces. Chapter 7. 7.1. Metrics
Chapter 7 Metric Spaces A metric space is a set X that has a notion of the distance d(x, y) between every pair of points x, y X. The purpose of this chapter is to introduce metric spaces and give some
More informationHow To Know If A Domain Is Unique In An Octempo (Euclidean) Or Not (Ecl)
Subsets of Euclidean domains possessing a unique division algorithm Andrew D. Lewis 2009/03/16 Abstract Subsets of a Euclidean domain are characterised with the following objectives: (1) ensuring uniqueness
More informationZORN S LEMMA AND SOME APPLICATIONS
ZORN S LEMMA AND SOME APPLICATIONS KEITH CONRAD 1. Introduction Zorn s lemma is a result in set theory that appears in proofs of some non-constructive existence theorems throughout mathematics. We will
More informationModule MA3411: Abstract Algebra Galois Theory Appendix Michaelmas Term 2013
Module MA3411: Abstract Algebra Galois Theory Appendix Michaelmas Term 2013 D. R. Wilkins Copyright c David R. Wilkins 1997 2013 Contents A Cyclotomic Polynomials 79 A.1 Minimum Polynomials of Roots of
More informationPolynomial Invariants
Polynomial Invariants Dylan Wilson October 9, 2014 (1) Today we will be interested in the following Question 1.1. What are all the possible polynomials in two variables f(x, y) such that f(x, y) = f(y,
More informationRINGS WITH A POLYNOMIAL IDENTITY
RINGS WITH A POLYNOMIAL IDENTITY IRVING KAPLANSKY 1. Introduction. In connection with his investigation of projective planes, M. Hall [2, Theorem 6.2]* proved the following theorem: a division ring D in
More informationSOME PROPERTIES OF FIBER PRODUCT PRESERVING BUNDLE FUNCTORS
SOME PROPERTIES OF FIBER PRODUCT PRESERVING BUNDLE FUNCTORS Ivan Kolář Abstract. Let F be a fiber product preserving bundle functor on the category FM m of the proper base order r. We deduce that the r-th
More informationFactoring of Prime Ideals in Extensions
Chapter 4 Factoring of Prime Ideals in Extensions 4. Lifting of Prime Ideals Recall the basic AKLB setup: A is a Dedekind domain with fraction field K, L is a finite, separable extension of K of degree
More informationSets of Fibre Homotopy Classes and Twisted Order Parameter Spaces
Communications in Mathematical Physics Manuscript-Nr. (will be inserted by hand later) Sets of Fibre Homotopy Classes and Twisted Order Parameter Spaces Stefan Bechtluft-Sachs, Marco Hien Naturwissenschaftliche
More information1 VECTOR SPACES AND SUBSPACES
1 VECTOR SPACES AND SUBSPACES What is a vector? Many are familiar with the concept of a vector as: Something which has magnitude and direction. an ordered pair or triple. a description for quantities such
More informationThe Kolchin Topology
The Kolchin Topology Phyllis Joan Cassidy City College of CUNY November 2, 2007 hyllis Joan Cassidy City College of CUNY () The Kolchin Topology November 2, 2007 1 / 35 Conventions. F is a - eld, and A
More informationFIBRATION SEQUENCES AND PULLBACK SQUARES. Contents. 2. Connectivity and fiber sequences. 3
FIRTION SEQUENES ND PULLK SQURES RY MLKIEWIH bstract. We lay out some foundational facts about fibration sequences and pullback squares of topological spaces. We pay careful attention to connectivity ranges
More informationDuality of linear conic problems
Duality of linear conic problems Alexander Shapiro and Arkadi Nemirovski Abstract It is well known that the optimal values of a linear programming problem and its dual are equal to each other if at least
More informationOn the existence of G-equivariant maps
CADERNOS DE MATEMÁTICA 12, 69 76 May (2011) ARTIGO NÚMERO SMA# 345 On the existence of G-equivariant maps Denise de Mattos * Departamento de Matemática, Instituto de Ciências Matemáticas e de Computação,
More informationSimilarity and Diagonalization. Similar Matrices
MATH022 Linear Algebra Brief lecture notes 48 Similarity and Diagonalization Similar Matrices Let A and B be n n matrices. We say that A is similar to B if there is an invertible n n matrix P such that
More informationEvery Positive Integer is the Sum of Four Squares! (and other exciting problems)
Every Positive Integer is the Sum of Four Squares! (and other exciting problems) Sophex University of Texas at Austin October 18th, 00 Matilde N. Lalín 1. Lagrange s Theorem Theorem 1 Every positive integer
More information4.5 Linear Dependence and Linear Independence
4.5 Linear Dependence and Linear Independence 267 32. {v 1, v 2 }, where v 1, v 2 are collinear vectors in R 3. 33. Prove that if S and S are subsets of a vector space V such that S is a subset of S, then
More information11 Ideals. 11.1 Revisiting Z
11 Ideals The presentation here is somewhat different than the text. In particular, the sections do not match up. We have seen issues with the failure of unique factorization already, e.g., Z[ 5] = O Q(
More informationGalois representations with open image
Galois representations with open image Ralph Greenberg University of Washington Seattle, Washington, USA May 7th, 2011 Introduction This talk will be about representations of the absolute Galois group
More information6.2 Permutations continued
6.2 Permutations continued Theorem A permutation on a finite set A is either a cycle or can be expressed as a product (composition of disjoint cycles. Proof is by (strong induction on the number, r, of
More information