Covariant Dirac Operators on Quantum Groups
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DIFFERENTIAL GEOMETRY FINAL PROJECT 1. Introduction for This
DIFFERENTIAL GEOMETRY FINAL PROJECT KOUNDINYA VAJJHA 1. Introduction For this project, we outline the basic structure theory of Lie groups relating them to the concept of Lie algebras. Roughly, a Lie algebra encodes the \infinitesimal” structure of a Lie group, but is simpler, being a vector space rather than a nonlinear manifold. At the local level at least, the Fundamental Theorems of Lie allow one to reconstruct the group from the algebra. 2. The Category of Local (Lie) Groups The correspondence between Lie groups and Lie algebras will be local in nature, the only portion of the Lie group that will be of importance is that portion of the group close to the group identity 1. To formalize this locality, we introduce local groups: Definition 2.1 (Local group). A local topological group is a topological space G, with an identity element 1 2 G, a partially defined but continuous multiplication operation · :Ω ! G for some domain Ω ⊂ G × G, a partially defined but continuous inversion operation ()−1 :Λ ! G with Λ ⊂ G, obeying the following axioms: • Ω is an open neighbourhood of G × f1g Sf1g × G and Λ is an open neighbourhood of 1. • (Local associativity) If it happens that for elements g; h; k 2 G g · (h · k) and (g · h) · k are both well-defined, then they are equal. • (Identity) For all g 2 G, g · 1 = 1 · g = g. • (Local inverse) If g 2 G and g−1 is well-defined in G, then g · g−1 = g−1 · g = 1. A local group is said to be symmetric if Λ = G, that is, every element g 2 G has an inverse in G.A local Lie group is a local group in which the underlying topological space is a smooth manifold and where the associated maps are smooth maps on their domain of definition. -
10 Group Theory and Standard Model
Physics 129b Lecture 18 Caltech, 03/05/20 10 Group Theory and Standard Model Group theory played a big role in the development of the Standard model, which explains the origin of all fundamental particles we see in nature. In order to understand how that works, we need to learn about a new Lie group: SU(3). 10.1 SU(3) and more about Lie groups SU(3) is the group of special (det U = 1) unitary (UU y = I) matrices of dimension three. What are the generators of SU(3)? If we want three dimensional matrices X such that U = eiθX is unitary (eigenvalues of absolute value 1), then X need to be Hermitian (real eigenvalue). Moreover, if U has determinant 1, X has to be traceless. Therefore, the generators of SU(3) are the set of traceless Hermitian matrices of dimension 3. Let's count how many independent parameters we need to characterize this set of matrices (what is the dimension of the Lie algebra). 3 × 3 complex matrices contains 18 real parameters. If it is to be Hermitian, then the number of parameters reduces by a half to 9. If we further impose traceless-ness, then the number of parameter reduces to 8. Therefore, the generator of SU(3) forms an 8 dimensional vector space. We can choose a basis for this eight dimensional vector space as 00 1 01 00 −i 01 01 0 01 00 0 11 λ1 = @1 0 0A ; λ2 = @i 0 0A ; λ3 = @0 −1 0A ; λ4 = @0 0 0A (1) 0 0 0 0 0 0 0 0 0 1 0 0 00 0 −i1 00 0 01 00 0 0 1 01 0 0 1 1 λ5 = @0 0 0 A ; λ6 = @0 0 1A ; λ7 = @0 0 −iA ; λ8 = p @0 1 0 A (2) i 0 0 0 1 0 0 i 0 3 0 0 −2 They are called the Gell-Mann matrices. -
Representation Theory
M392C NOTES: REPRESENTATION THEORY ARUN DEBRAY MAY 14, 2017 These notes were taken in UT Austin's M392C (Representation Theory) class in Spring 2017, taught by Sam Gunningham. I live-TEXed them using vim, so there may be typos; please send questions, comments, complaints, and corrections to [email protected]. Thanks to Kartik Chitturi, Adrian Clough, Tom Gannon, Nathan Guermond, Sam Gunningham, Jay Hathaway, and Surya Raghavendran for correcting a few errors. Contents 1. Lie groups and smooth actions: 1/18/172 2. Representation theory of compact groups: 1/20/174 3. Operations on representations: 1/23/176 4. Complete reducibility: 1/25/178 5. Some examples: 1/27/17 10 6. Matrix coefficients and characters: 1/30/17 12 7. The Peter-Weyl theorem: 2/1/17 13 8. Character tables: 2/3/17 15 9. The character theory of SU(2): 2/6/17 17 10. Representation theory of Lie groups: 2/8/17 19 11. Lie algebras: 2/10/17 20 12. The adjoint representations: 2/13/17 22 13. Representations of Lie algebras: 2/15/17 24 14. The representation theory of sl2(C): 2/17/17 25 15. Solvable and nilpotent Lie algebras: 2/20/17 27 16. Semisimple Lie algebras: 2/22/17 29 17. Invariant bilinear forms on Lie algebras: 2/24/17 31 18. Classical Lie groups and Lie algebras: 2/27/17 32 19. Roots and root spaces: 3/1/17 34 20. Properties of roots: 3/3/17 36 21. Root systems: 3/6/17 37 22. Dynkin diagrams: 3/8/17 39 23. -
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). -
Notes on Representations of Finite Groups
NOTES ON REPRESENTATIONS OF FINITE GROUPS AARON LANDESMAN CONTENTS 1. Introduction 3 1.1. Acknowledgements 3 1.2. A first definition 3 1.3. Examples 4 1.4. Characters 7 1.5. Character Tables and strange coincidences 8 2. Basic Properties of Representations 11 2.1. Irreducible representations 12 2.2. Direct sums 14 3. Desiderata and problems 16 3.1. Desiderata 16 3.2. Applications 17 3.3. Dihedral Groups 17 3.4. The Quaternion group 18 3.5. Representations of A4 18 3.6. Representations of S4 19 3.7. Representations of A5 19 3.8. Groups of order p3 20 3.9. Further Challenge exercises 22 4. Complete Reducibility of Complex Representations 24 5. Schur’s Lemma 30 6. Isotypic Decomposition 32 6.1. Proving uniqueness of isotypic decomposition 32 7. Homs and duals and tensors, Oh My! 35 7.1. Homs of representations 35 7.2. Duals of representations 35 7.3. Tensors of representations 36 7.4. Relations among dual, tensor, and hom 38 8. Orthogonality of Characters 41 8.1. Reducing Theorem 8.1 to Proposition 8.6 41 8.2. Projection operators 43 1 2 AARON LANDESMAN 8.3. Proving Proposition 8.6 44 9. Orthogonality of character tables 46 10. The Sum of Squares Formula 48 10.1. The inner product on characters 48 10.2. The Regular Representation 50 11. The number of irreducible representations 52 11.1. Proving characters are independent 53 11.2. Proving characters form a basis for class functions 54 12. Dimensions of Irreps divide the order of the Group 57 Appendix A. -
Group Theory - QMII 2017
Group Theory - QMII 2017 Reminder Last time we said that a group element of a matrix lie group can be written as an exponent: a U = eiαaX ; a = 1; :::; N: We called Xa the generators, we have N of them, they span a basis for the Lie algebra, and they can be found by taking the derivative with respect to αa at α = 0. The generators are closed under the Lie product (∼ [·; ·]), and related by the structure constants [Xa;Xb] = ifabcXc: (1) We end with the Jacobi identity [Xa; [Xb;Xc]] + [Xb; [Xc;Xa]] + [Xc; [Xa;Xb]] = 0: (2) 1 Representations of Lie Algebra 1.1 The adjoint rep. part- I One of the most important representations is the adjoint. There are two equivalent ways to defined it. Here we follow the definition by Georgi. By plugging Eq. (1) into the Jacobi identity Eq. (2) we get the following: fbcdfade + fabdfcde + fcadfbde = 0 (3) Proof: 0 = [Xa; [Xb;Xc]] + [Xb; [Xc;Xa]] + [Xc; [Xa;Xb]] = ifbcd [Xa;Xd] + ifcad [Xb;Xd] + ifabd [Xc;Xd] = − (fbcdfade + fcadfbde + fabdfcde) Xe (4) 1 Now we can define a set of matrices Ta s.t. [Ta]bc = −ifabc: (5) Then by using the relation of the structure constants Eq. (3) we get [Ta;Tb] = ifabcTc: (6) Proof: [Ta;Tb]ce = [Ta]cd[Tb]de − [Tb]cd[Ta]de = −facdfbde + fbcdfade = fcadfbde + fbcdfade = −fabdfcde = fabdfdce = ifabd[Td]ce (7) which means that: [Ta;Tb] = ifabdTd: (8) Therefore the structure constants themselves generate a representation. This representation is called the adjoint representation. The adjoint of su(2) We already found that the structure constants of su(2) are given by the Levi-Civita tensor. -
Groups and Representations the Material Here Is Partly in Appendix a and B of the Book
Groups and representations The material here is partly in Appendix A and B of the book. 1 Introduction The concept of symmetry, and especially gauge symmetry, is central to this course. Now what is a symmetry: you have something, e.g. a vase, and you do something to it, e.g. turn it by 29 degrees, and it still looks the same then we call the operation performed, i.e. the rotation, a symmetryoperation on the object. But if we first rotate it by 29 degrees and then by 13 degrees and it still looks the same then also the combined operation of a rotation by 42 degrees is a symmetry operation as well. The mathematics that is involved here is that of groups and their representations. The symmetry operations form the group and the objects the operations work on are in representations of the group. 2 Groups A group is a set of elements g where there exist an operation ∗ that combines two group elements and the results is a third: ∃∗ : 8g1; g2 2 G : g1 ∗ g2 = g3 2 G (1) This operation must be associative: 8g1; g2; g3 2 G :(g1 ∗ g2) ∗ g3 = g1 ∗ (g2 ∗ g3) (2) and there exists an element unity: 91 2 G : 8g 2 G : g ∗ 1 = 1 ∗ g = g (3) and for every element in G there exists an inverse: 8g 2 G : 9g−1 2 G : g ∗ g−1 = g−1 ∗ g = 1 (4) This is the general definition of a group. Now if all elements of a group commute, i.e. -
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. -
3 Representations of Finite Groups: Basic Results
3 Representations of finite groups: basic results Recall that a representation of a group G over a field k is a k-vector space V together with a group homomorphism δ : G GL(V ). As we have explained above, a representation of a group G ! over k is the same thing as a representation of its group algebra k[G]. In this section, we begin a systematic development of representation theory of finite groups. 3.1 Maschke's Theorem Theorem 3.1. (Maschke) Let G be a finite group and k a field whose characteristic does not divide G . Then: j j (i) The algebra k[G] is semisimple. (ii) There is an isomorphism of algebras : k[G] EndV defined by g g , where V ! �i i 7! �i jVi i are the irreducible representations of G. In particular, this is an isomorphism of representations of G (where G acts on both sides by left multiplication). Hence, the regular representation k[G] decomposes into irreducibles as dim(V )V , and one has �i i i G = dim(V )2 : j j i Xi (the “sum of squares formula”). Proof. By Proposition 2.16, (i) implies (ii), and to prove (i), it is sufficient to show that if V is a finite-dimensional representation of G and W V is any subrepresentation, then there exists a → subrepresentation W V such that V = W W as representations. 0 → � 0 Choose any complement Wˆ of W in V . (Thus V = W Wˆ as vector spaces, but not necessarily � as representations.) Let P be the projection along Wˆ onto W , i.e., the operator on V defined by P W = Id and P W^ = 0. -
Chapter 3 Adjoint Representations and the Derivative Of
Chapter 3 Adjoint Representations and the Derivative of exp 3.1 The Adjoint Representations Ad and ad Given any two vector spaces E and F ,recallthatthe vector space of all linear maps from E to F is denoted by Hom(E,F). The vector space of all invertible linear maps from E to itself is a group denoted GL(E). When E = Rn,weoftendenoteGL(Rn)byGL(n, R) (and if E = Cn,weoftendenoteGL(Cn)byGL(n, C)). The vector space Mn(R)ofalln n matrices is also ⇥ denoted by gl(n, R)(andMn(C)bygl(n, C)). 121 122 CHAPTER 3. ADJOINT REPRESENTATIONS AND THE DERIVATIVE OF exp Then, GL(gl(n, R)) is the vector space of all invertible linear maps from gl(n, R)=Mn(R)toitself. For any matrix A MA(R)(orA MA(C)), define the 2 2 maps LA :Mn(R) Mn(R)andRA :Mn(R) Mn(R) by ! ! LA(B)=AB, RA(B)=BA, for all B Mn(R). 2 Observe that LA RB = RB LA for all A, B Mn(R). ◦ ◦ 2 For any matrix A GL(n, R), let 2 AdA :Mn(R) Mn(R)(conjugationbyA) ! be given by 1 AdA(B)=ABA− for all B Mn(R). 2 Observe that AdA = LA R 1 and that AdA is an ◦ A− invertible linear map with inverse Ad 1. A− 3.1. ADJOINT REPRESENTATIONS Ad AND ad 123 The restriction of AdA to invertible matrices B GL(n, R) yields the map 2 AdA : GL(n, R) GL(n, R) ! also given by 1 AdA(B)=ABA− for all B GL(n, R). -
A. Riemannian Geometry and Lie Groups
Cheap Orthogonal Constraints in Neural Networks A. Riemannian Geometry and Lie Groups In this section we aim to give a short summary of the basics of classical Riemannian geometry and Lie group theory needed for our proofs in following sections. The standard reference for classical Riemannian geometry is do Carmo’s book (do Carmo, 1992). An elementary introduction to Lie group theory with an emphasis on concrete examples from matrix theory can be found in (Hall, 2015). A.1. Riemannian geometry A Riemannian manifold is a smooth manifold M equipped with a smooth metric h·; ·ip : TpM × TpM! R which is a positive definite inner product for every p 2 M. We will omit the dependency on the point p whenever it is clear from the context. We will work with finite dimensional manifolds. Given a metric, we can define the length of a curve γ on the R b p 0 0 manifold as L(γ) := a hγ (t); γ (t)i dt. The distance between two points is the infimum of the lengths of the piece-wise smooth curves on M connecting them. When the manifold is connected, this defines a distance function that turns the manifold into a metric space. An affine connection r on a smooth manifold is a bilinear application that maps two vector fields X; Y to a new one rX Y such that it is linear in X, and linear and Leibnitz in Y . Connections give a notion of variation of a vector field along another vector field. In particular, the covariant derivative is the restriction of the connection to a curve. -
Loop Quantum Gravity: an Inside View
Loop Quantum Gravity: An Inside View T. Thiemann∗ MPI f. Gravitationsphysik, Albert-Einstein-Institut, Am M¨uhlenberg 1, 14476 Potsdam, Germany and Perimeter Institute for Theoretical Physics, 31 Caroline Street N, Waterloo, ON N2L 2Y5, Canada Preprint AEI-2006-066 Abstract This is a (relatively) non – technical summary of the status of the quantum dynamics in Loop Quantum Gravity (LQG). We explain in detail the historical evolution of the subject and why the results obtained so far are non – trivial. The present text can be viewed in part as a response to an article by Nicolai, Peeters and Zamaklar. We also explain why certain no go conclusions drawn from a mathematically correct calculation in a recent paper by Helling et al are physically incorrect. arXiv:hep-th/0608210v1 29 Aug 2006 ∗[email protected],[email protected] 1 Contents 1 Introduction 3 2 Classical preliminaries 6 3 Canonical quantisation programme 8 4 Status of the quantisation programme for Loop Quantum Gravity (LQG) 12 4.1 CanonicalquantumgravitybeforeLQG . .............. 12 4.2 Thenewphasespace................................ ......... 13 4.3 Quantumkinematics ............................... .......... 16 4.3.1 Elementaryfunctions. .......... 16 4.3.2 Quantum ∗ algebra ..................................... 17 − 4.3.3 Representations of A ..................................... 18 4.3.4 The kinematical Hilbert space and its properties . ................. 19 4.4 Quantumdynamics................................. ......... 21 4.4.1 Reduction of Gauss – and spatial diffeomorphism constraint............... 21 4.4.1.1 Gaussconstraint. .. .. .. .. .. .. .. .. ..... 21 4.4.1.2 Spatial diffeomorphism constraint . .......... 22 4.4.2 Reduction of the Hamiltonian constraint . ............... 23 4.4.2.1 Hamiltonian constraint . ....... 25 4.4.2.2 Master Constraint Programme . ....... 32 4.4.2.2.1 Graph changing Master constraint .