Leibniz Rules for Enveloping Algebras
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Lecture 21: Symmetric Products and Algebras
LECTURE 21: SYMMETRIC PRODUCTS AND ALGEBRAS Symmetric Products The last few lectures have focused on alternating multilinear functions. This one will focus on symmetric multilinear functions. Recall that a multilinear function f : U ×m ! V is symmetric if f(~v1; : : : ;~vi; : : : ;~vj; : : : ;~vm) = f(~v1; : : : ;~vj; : : : ;~vi; : : : ;~vm) for any i and j, and for any vectors ~vk. Just as with the exterior product, we can get the universal object associated to symmetric multilinear functions by forming various quotients of the tensor powers. Definition 1. The mth symmetric power of V , denoted Sm(V ), is the quotient of V ⊗m by the subspace generated by ~v1 ⊗ · · · ⊗ ~vi ⊗ · · · ⊗ ~vj ⊗ · · · ⊗ ~vm − ~v1 ⊗ · · · ⊗ ~vj ⊗ · · · ⊗ ~vi ⊗ · · · ⊗ ~vm where i and j and the vectors ~vk are arbitrary. Let Sym(U ×m;V ) denote the set of symmetric multilinear functions U ×m to V . The following is immediate from our construction. Lemma 1. We have an natural bijection Sym(U ×m;V ) =∼ L(Sm(U);V ): n We will denote the image of ~v1 ⊗: : :~vm in S (V ) by ~v1 ·····~vm, the usual notation for multiplication to remind us that the terms here can be rearranged. Unlike with the exterior product, it is easy to determine a basis for the symmetric powers. Theorem 1. Let f~v1; : : : ;~vmg be a basis for V . Then _ f~vi1 · :::~vin ji1 ≤ · · · ≤ ing is a basis for Sn(V ). Before we prove this, we note a key difference between this and the exterior product. For the exterior product, we have strict inequalities. For the symmetric product, we have non-strict inequalities. -
Left-Symmetric Algebras of Derivations of Free Algebras
LEFT-SYMMETRIC ALGEBRAS OF DERIVATIONS OF FREE ALGEBRAS Ualbai Umirbaev1 Abstract. A structure of a left-symmetric algebra on the set of all derivations of a free algebra is introduced such that its commutator algebra becomes the usual Lie algebra of derivations. Left and right nilpotent elements of left-symmetric algebras of deriva- tions are studied. Simple left-symmetric algebras of derivations and Novikov algebras of derivations are described. It is also proved that the positive part of the left-symmetric al- gebra of derivations of a free nonassociative symmetric m-ary algebra in one free variable is generated by one derivation and some right nilpotent derivations are described. Mathematics Subject Classification (2010): Primary 17D25, 17A42, 14R15; Sec- ondary 17A36, 17A50. Key words: left-symmetric algebras, free algebras, derivations, Jacobian matrices. 1. Introduction If A is an arbitrary algebra over a field k, then the set DerkA of all k-linear derivations of A forms a Lie algebra. If A is a free algebra, then it is possible to define a multiplication · on DerkA such that it becomes a left-symmetric algebra and its commutator algebra becomes the Lie algebra DerkA of all derivations of A. The language of the left-symmetric algebras of derivations is more convenient to describe some combinatorial properties of derivations. Recall that an algebra B over k is called left-symmetric [4] if B satisfies the identity (1) (xy)z − x(yz)=(yx)z − y(xz). This means that the associator (x, y, z) := (xy)z −x(yz) is symmetric with respect to two left arguments, i.e., (x, y, z)=(y, x, z). -
WOMP 2001: LINEAR ALGEBRA Reference Roman, S. Advanced
WOMP 2001: LINEAR ALGEBRA DAN GROSSMAN Reference Roman, S. Advanced Linear Algebra, GTM #135. (Not very good.) 1. Vector spaces Let k be a field, e.g., R, Q, C, Fq, K(t),. Definition. A vector space over k is a set V with two operations + : V × V → V and · : k × V → V satisfying some familiar axioms. A subspace of V is a subset W ⊂ V for which • 0 ∈ W , • If w1, w2 ∈ W , a ∈ k, then aw1 + w2 ∈ W . The quotient of V by the subspace W ⊂ V is the vector space whose elements are subsets of the form (“affine translates”) def v + W = {v + w : w ∈ W } (for which v + W = v0 + W iff v − v0 ∈ W , also written v ≡ v0 mod W ), and whose operations +, · are those naturally induced from the operations on V . Exercise 1. Verify that our definition of the vector space V/W makes sense. Given a finite collection of elements (“vectors”) v1, . , vm ∈ V , their span is the subspace def hv1, . , vmi = {a1v1 + ··· amvm : a1, . , am ∈ k}. Exercise 2. Verify that this is a subspace. There may sometimes be redundancy in a spanning set; this is expressed by the notion of linear dependence. The collection v1, . , vm ∈ V is said to be linearly dependent if there is a linear combination a1v1 + ··· + amvm = 0, some ai 6= 0. This is equivalent to being able to express at least one of the vi as a linear combination of the others. Exercise 3. Verify this equivalence. Theorem. Let V be a vector space over a field k. -
Universal Enveloping Algebras and Some Applications in Physics
Universal enveloping algebras and some applications in physics Xavier BEKAERT Institut des Hautes Etudes´ Scientifiques 35, route de Chartres 91440 – Bures-sur-Yvette (France) Octobre 2005 IHES/P/05/26 IHES/P/05/26 Universal enveloping algebras and some applications in physics Xavier Bekaert Institut des Hautes Etudes´ Scientifiques Le Bois-Marie, 35 route de Chartres 91440 Bures-sur-Yvette, France [email protected] Abstract These notes are intended to provide a self-contained and peda- gogical introduction to the universal enveloping algebras and some of their uses in mathematical physics. After reviewing their abstract definitions and properties, the focus is put on their relevance in Weyl calculus, in representation theory and their appearance as higher sym- metries of physical systems. Lecture given at the first Modave Summer School in Mathematical Physics (Belgium, June 2005). These lecture notes are written by a layman in abstract algebra and are aimed for other aliens to this vast and dry planet, therefore many basic definitions are reviewed. Indeed, physicists may be unfamiliar with the daily- life terminology of mathematicians and translation rules might prove to be useful in order to have access to the mathematical literature. Each definition is particularized to the finite-dimensional case to gain some intuition and make contact between the abstract definitions and familiar objects. The lecture notes are divided into four sections. In the first section, several examples of associative algebras that will be used throughout the text are provided. Associative and Lie algebras are also compared in order to motivate the introduction of enveloping algebras. The Baker-Campbell- Haussdorff formula is presented since it is used in the second section where the definitions and main elementary results on universal enveloping algebras (such as the Poincar´e-Birkhoff-Witt) are reviewed in details. -
Special Unitary Group - Wikipedia
Special unitary group - Wikipedia https://en.wikipedia.org/wiki/Special_unitary_group Special unitary group In mathematics, the special unitary group of degree n, denoted SU( n), is the Lie group of n×n unitary matrices with determinant 1. (More general unitary matrices may have complex determinants with absolute value 1, rather than real 1 in the special case.) The group operation is matrix multiplication. The special unitary group is a subgroup of the unitary group U( n), consisting of all n×n unitary matrices. As a compact classical group, U( n) is the group that preserves the standard inner product on Cn.[nb 1] It is itself a subgroup of the general linear group, SU( n) ⊂ U( n) ⊂ GL( n, C). The SU( n) groups find wide application in the Standard Model of particle physics, especially SU(2) in the electroweak interaction and SU(3) in quantum chromodynamics.[1] The simplest case, SU(1) , is the trivial group, having only a single element. The group SU(2) is isomorphic to the group of quaternions of norm 1, and is thus diffeomorphic to the 3-sphere. Since unit quaternions can be used to represent rotations in 3-dimensional space (up to sign), there is a surjective homomorphism from SU(2) to the rotation group SO(3) whose kernel is {+ I, − I}. [nb 2] SU(2) is also identical to one of the symmetry groups of spinors, Spin(3), that enables a spinor presentation of rotations. Contents Properties Lie algebra Fundamental representation Adjoint representation The group SU(2) Diffeomorphism with S 3 Isomorphism with unit quaternions Lie Algebra The group SU(3) Topology Representation theory Lie algebra Lie algebra structure Generalized special unitary group Example Important subgroups See also 1 of 10 2/22/2018, 8:54 PM Special unitary group - Wikipedia https://en.wikipedia.org/wiki/Special_unitary_group Remarks Notes References Properties The special unitary group SU( n) is a real Lie group (though not a complex Lie group). -
General Formulas of the Structure Constants in the $\Mathfrak {Su}(N
General Formulas of the Structure Constants in the su(N) Lie Algebra Duncan Bossion1, ∗ and Pengfei Huo1,2, † 1Department of Chemistry, University of Rochester, Rochester, New York, 14627 2Institute of Optics, University of Rochester, Rochester, New York, 14627 We provide the analytic expressions of the totally symmetric and anti-symmetric structure con- stants in the su(N) Lie algebra. The derivation is based on a relation linking the index of a generator to the indexes of its non-null elements. The closed formulas obtained to compute the values of the structure constants are simple expressions involving those indexes and can be analytically evaluated without any need of the expression of the generators. We hope that these expressions can be widely used for analytical and computational interest in Physics. The su(N) Lie algebra and their corresponding Lie The indexes Snm, Anm and Dn indicate generators corre- groups are widely used in fundamental physics, partic- sponding to the symmetric, anti-symmetric, and diago- ularly in the Standard Model of particle physics [1, 2]. nal matrices, respectively. The explicit relation between su 1 The (2) Lie algebra is used describe the spin- 2 system. a projection operator m n and the generators can be ˆ ~ found in Ref. [5]. Note| thatih these| generators are traceless Its generators, the spin operators, are j = 2 σj with the S ˆ ˆ ˆ ~2 Pauli matrices Tr[ i] = 0, as well as orthonormal Tr[ i j ]= 2 δij . TheseS higher dimensional su(N) LieS algebraS are com- 0 1 0 i 1 0 σ = , σ = , σ = . -
Clifford Algebra Analogue of the Hopf–Koszul–Samelson Theorem
Advances in Mathematics AI1608 advances in mathematics 125, 275350 (1997) article no. AI971608 Clifford Algebra Analogue of the HopfKoszulSamelson Theorem, the \-Decomposition C(g)=End V\ C(P), and the g-Module Structure of Ãg Bertram Kostant* Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 Received October 18, 1996 1. INTRODUCTION 1.1. Let g be a complex semisimple Lie algebra and let h/b be, respectively, a Cartan subalgebra and a Borel subalgebra of g. Let n=dim g and l=dim h so that n=l+2r where r=dim gÂb. Let \ be one- half the sum of the roots of h in b. The irreducible representation ?\ : g Ä End V\ of highest weight \ is dis- tinguished among all finite-dimensional irreducible representations of g for r a number of reasons. One has dim V\=2 and, via the BorelWeil theorem, Proj V\ is the ambient variety for the minimal projective embed- ding of the flag manifold associated to g. In addition, like the adjoint representation, ?\ admits a uniform construction for all g. Indeed let SO(g) be defined with respect to the Killing form Bg on g. Then if Spin ad: g Ä End S is the composite of the adjoint representation ad: g Ä Lie SO(g) with the spin representation Spin: Lie SO(g) Ä End S, it is shown in [9] that Spin ad is primary of type ?\ . Given the well-known relation between SS and exterior algebras, one immediately deduces that the g-module structure of the exterior algebra Ãg, with respect to the derivation exten- sion, %, of the adjoint representation, is given by l Ãg=2 V\V\.(a) The equation (a) is only skimming the surface of a much richer structure. -
Tensor, Exterior and Symmetric Algebras
Tensor, Exterior and Symmetric Algebras Daniel Murfet May 16, 2006 Throughout this note R is a commutative ring, all modules are left R-modules. If we say a ring is noncommutative, we mean it is not necessarily commutative. Unless otherwise specified, all rings are noncommutative (except for R). If A is a ring then the center of A is the set of all x ∈ A with xy = yx for all y ∈ A. Contents 1 Definitions 1 2 The Tensor Algebra 5 3 The Exterior Algebra 6 3.1 Dimension of the Exterior Powers ............................ 11 3.2 Bilinear Forms ...................................... 14 3.3 Other Properties ..................................... 18 3.3.1 The determinant formula ............................ 18 4 The Symmetric Algebra 19 1 Definitions Definition 1. A R-algebra is a ring morphism φ : R −→ A where A is a ring and the image of φ is contained in the center of A. This is equivalent to A being an R-module and a ring, with r · (ab) = (r · a)b = a(r · b), via the identification of r · 1 and φ(r). A morphism of R-algebras is a ring morphism making the appropriate diagram commute, or equivalently a ring morphism which is also an R-module morphism. In this section RnAlg will denote the category of these R-algebras. We use RAlg to denote the category of commutative R-algebras. A graded ring is a ring A together with a set of subgroups Ad, d ≥ 0 such that A = ⊕d≥0Ad as an abelian group, and st ∈ Ad+e for all s ∈ Ad, t ∈ Ae. -
Lie Algebras from Lie Groups
Preprint typeset in JHEP style - HYPER VERSION Lecture 8: Lie Algebras from Lie Groups Gregory W. Moore Abstract: Not updated since November 2009. March 27, 2018 -TOC- Contents 1. Introduction 2 2. Geometrical approach to the Lie algebra associated to a Lie group 2 2.1 Lie's approach 2 2.2 Left-invariant vector fields and the Lie algebra 4 2.2.1 Review of some definitions from differential geometry 4 2.2.2 The geometrical definition of a Lie algebra 5 3. The exponential map 8 4. Baker-Campbell-Hausdorff formula 11 4.1 Statement and derivation 11 4.2 Two Important Special Cases 17 4.2.1 The Heisenberg algebra 17 4.2.2 All orders in B, first order in A 18 4.3 Region of convergence 19 5. Abstract Lie Algebras 19 5.1 Basic Definitions 19 5.2 Examples: Lie algebras of dimensions 1; 2; 3 23 5.3 Structure constants 25 5.4 Representations of Lie algebras and Ado's Theorem 26 6. Lie's theorem 28 7. Lie Algebras for the Classical Groups 34 7.1 A useful identity 35 7.2 GL(n; k) and SL(n; k) 35 7.3 O(n; k) 38 7.4 More general orthogonal groups 38 7.4.1 Lie algebra of SO∗(2n) 39 7.5 U(n) 39 7.5.1 U(p; q) 42 7.5.2 Lie algebra of SU ∗(2n) 42 7.6 Sp(2n) 42 8. Central extensions of Lie algebras and Lie algebra cohomology 46 8.1 Example: The Heisenberg Lie algebra and the Lie group associated to a symplectic vector space 47 8.2 Lie algebra cohomology 48 { 1 { 9. -
Lie Algebras by Shlomo Sternberg
Lie algebras Shlomo Sternberg April 23, 2004 2 Contents 1 The Campbell Baker Hausdorff Formula 7 1.1 The problem. 7 1.2 The geometric version of the CBH formula. 8 1.3 The Maurer-Cartan equations. 11 1.4 Proof of CBH from Maurer-Cartan. 14 1.5 The differential of the exponential and its inverse. 15 1.6 The averaging method. 16 1.7 The Euler MacLaurin Formula. 18 1.8 The universal enveloping algebra. 19 1.8.1 Tensor product of vector spaces. 20 1.8.2 The tensor product of two algebras. 21 1.8.3 The tensor algebra of a vector space. 21 1.8.4 Construction of the universal enveloping algebra. 22 1.8.5 Extension of a Lie algebra homomorphism to its universal enveloping algebra. 22 1.8.6 Universal enveloping algebra of a direct sum. 22 1.8.7 Bialgebra structure. 23 1.9 The Poincar´e-Birkhoff-Witt Theorem. 24 1.10 Primitives. 28 1.11 Free Lie algebras . 29 1.11.1 Magmas and free magmas on a set . 29 1.11.2 The Free Lie Algebra LX ................... 30 1.11.3 The free associative algebra Ass(X). 31 1.12 Algebraic proof of CBH and explicit formulas. 32 1.12.1 Abstract version of CBH and its algebraic proof. 32 1.12.2 Explicit formula for CBH. 32 2 sl(2) and its Representations. 35 2.1 Low dimensional Lie algebras. 35 2.2 sl(2) and its irreducible representations. 36 2.3 The Casimir element. 39 2.4 sl(2) is simple. -
Symmetry for Finite Dimensional Hopf Algebras
AMERICAN MATHEMATICAL SOCIETY Volume 68, Number 2, February 1978 SYMMETRYFOR FINITE DIMENSIONALHOPF ALGEBRAS J. E. HUMPHREYS1 Abstract. This note refines criteria given by R. G. Larson and M. E. Sweedler for a finite dimensional Hopf algebra to be a symmetric algebra, with applications to restricted universal enveloping algebras and to certain finite dimensional subalgebras of the hyperalgebra of a semisimple algebraic group in characteristic /». Let A be a finite dimensional associative algebra over a field K. Then A is called Frobenius if there exists a nondegenerate bilinear form f: A x A -^ K which is associative in the sense that/(a6, c) = f(a, be) for all a, b, c G A [3, Chapter IX]. A is called symmetric if there exists a symmetric form of this type [3, §66]. For example, semisimple algebras and group algebras of finite groups are symmetric. We investigate here the extent to which finite dimen- sional Hopf algebras (with antipode) are symmetric; they are always Frobenius, thanks to the main theorem of [8]. 1. Hopf algebras. In this section H denotes a finite dimensional Hopf algebra over an arbitrary field K, with antipode s and augmentation e: H -» K. According to the main theorem of [8], existence of the antipode implies (and is implied by) the existence of a (nonsingular) left integral A G H, which is unique up to scalar multiples. By definition, A satisfies: AA = e(h)A, for all h E H. Equally well, H has a right integral A', unique up to scalar multiples. If A' is proportional to A, H is called unimodular. -
Characterization of SU(N)
University of Rochester Group Theory for Physicists Professor Sarada Rajeev Characterization of SU(N) David Mayrhofer PHY 391 Independent Study Paper December 13th, 2019 1 Introduction At this point in the course, we have discussed SO(N) in detail. We have de- termined the Lie algebra associated with this group, various properties of the various reducible and irreducible representations, and dealt with the specific cases of SO(2) and SO(3). Now, we work to do the same for SU(N). We de- termine how to use tensors to create different representations for SU(N), what difficulties arise when moving from SO(N) to SU(N), and then delve into a few specific examples of useful representations. 2 Review of Orthogonal and Unitary Matrices 2.1 Orthogonal Matrices When initially working with orthogonal matrices, we defined a matrix O as orthogonal by the following relation OT O = 1 (1) This was done to ensure that the length of vectors would be preserved after a transformation. This can be seen by v ! v0 = Ov =) (v0)2 = (v0)T v0 = vT OT Ov = v2 (2) In this scenario, matrices then must transform as A ! A0 = OAOT , as then we will have (Av)2 ! (A0v0)2 = (OAOT Ov)2 = (OAOT Ov)T (OAOT Ov) (3) = vT OT OAT OT OAOT Ov = vT AT Av = (Av)2 Therefore, when moving to unitary matrices, we want to ensure similar condi- tions are met. 2.2 Unitary Matrices When working with quantum systems, we not longer can restrict ourselves to purely real numbers. Quite frequently, it is necessarily to extend the field we are with with to the complex numbers.