Quadratic Quaternion Forms, Involutions and Triality
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MASTER COURSE: Quaternion Algebras and Quadratic Forms Towards Shimura Curves
MASTER COURSE: Quaternion algebras and Quadratic forms towards Shimura curves Prof. Montserrat Alsina Universitat Polit`ecnicade Catalunya - BarcelonaTech EPSEM Manresa September 2013 ii Contents 1 Introduction to quaternion algebras 1 1.1 Basics on quaternion algebras . 1 1.2 Main known results . 4 1.3 Reduced trace and norm . 6 1.4 Small ramified algebras... 10 1.5 Quaternion orders . 13 1.6 Special basis for orders in quaternion algebras . 16 1.7 More on Eichler orders . 18 1.8 Eichler orders in non-ramified and small ramified Q-algebras . 21 2 Introduction to Fuchsian groups 23 2.1 Linear fractional transformations . 23 2.2 Classification of homographies . 24 2.3 The non ramified case . 28 2.4 Groups of quaternion transformations . 29 3 Introduction to Shimura curves 31 3.1 Quaternion fuchsian groups . 31 3.2 The Shimura curves X(D; N) ......................... 33 4 Hyperbolic fundamental domains . 37 4.1 Groups of quaternion transformations and the Shimura curves X(D; N) . 37 4.2 Transformations, embeddings and forms . 40 4.2.1 Elliptic points of X(D; N)....................... 43 4.3 Local conditions at infinity . 48 iii iv CONTENTS 4.3.1 Principal homotheties of Γ(D; N) for D > 1 . 48 4.3.2 Construction of a fundamental domain at infinity . 49 4.4 Principal symmetries of Γ(D; N)........................ 52 4.5 Construction of fundamental domains (D > 1) . 54 4.5.1 General comments . 54 4.5.2 Fundamental domain for X(6; 1) . 55 4.5.3 Fundamental domain for X(10; 1) . 57 4.5.4 Fundamental domain for X(15; 1) . -
On the Linear Transformations of a Quadratic Form Into Itself*
ON THE LINEAR TRANSFORMATIONS OF A QUADRATIC FORM INTO ITSELF* BY PERCEY F. SMITH The problem of the determination f of all linear transformations possessing an invariant quadratic form, is well known to be classic. It enjoyed the atten- tion of Euler, Cayley and Hermite, and reached a certain stage of com- pleteness in the memoirs of Frobenius,| Voss,§ Lindemann|| and LoEWY.^f The investigations of Cayley and Hermite were confined to the general trans- formation, Erobenius then determined all proper transformations, and finally the problem was completely solved by Lindemann and Loewy, and simplified by Voss. The present paper attacks the problem from an altogether different point, the fundamental idea being that of building up any such transformation from simple elements. The primary transformation is taken to be central reflection in the quadratic locus defined by setting the given form equal to zero. This transformation is otherwise called in three dimensions, point-plane reflection,— point and plane being pole and polar plane with respect to the fundamental quadric. In this way, every linear transformation of the desired form is found to be a product of central reflections. The maximum number necessary for the most general case is the number of variables. Voss, in the first memoir cited, proved this theorem for the general transformation, assuming the latter given by the equations of Cayley. In the present paper, however, the theorem is derived synthetically, and from this the analytic form of the equations of trans- formation is deduced. * Presented to the Society December 29, 1903. Received for publication, July 2, 1P04. -
Quadratic Forms, Lattices, and Ideal Classes
Quadratic forms, lattices, and ideal classes Katherine E. Stange March 1, 2021 1 Introduction These notes are meant to be a self-contained, modern, simple and concise treat- ment of the very classical correspondence between quadratic forms and ideal classes. In my personal mental landscape, this correspondence is most naturally mediated by the study of complex lattices. I think taking this perspective breaks the equivalence between forms and ideal classes into discrete steps each of which is satisfyingly inevitable. These notes follow no particular treatment from the literature. But it may perhaps be more accurate to say that they follow all of them, because I am repeating a story so well-worn as to be pervasive in modern number theory, and nowdays absorbed osmotically. These notes require a familiarity with the basic number theory of quadratic fields, including the ring of integers, ideal class group, and discriminant. I leave out some details that can easily be verified by the reader. A much fuller treatment can be found in Cox's book Primes of the form x2 + ny2. 2 Moduli of lattices We introduce the upper half plane and show that, under the quotient by a natural SL(2; Z) action, it can be interpreted as the moduli space of complex lattices. The upper half plane is defined as the `upper' half of the complex plane, namely h = fx + iy : y > 0g ⊆ C: If τ 2 h, we interpret it as a complex lattice Λτ := Z+τZ ⊆ C. Two complex lattices Λ and Λ0 are said to be homothetic if one is obtained from the other by scaling by a complex number (geometrically, rotation and dilation). -
Classification of Quadratic Surfaces
Classification of Quadratic Surfaces Pauline Rüegg-Reymond June 14, 2012 Part I Classification of Quadratic Surfaces 1 Context We are studying the surface formed by unshearable inextensible helices at equilibrium with a given reference state. A helix on this surface is given by its strains u ∈ R3. The strains of the reference state helix are denoted by ˆu. The strain-energy density of a helix given by u is the quadratic function 1 W (u − ˆu) = (u − ˆu) · K (u − ˆu) (1) 2 where K ∈ R3×3 is assumed to be of the form K1 0 K13 K = 0 K2 K23 K13 K23 K3 with K1 6 K2. A helical rod also has stresses m ∈ R3 related to strains u through balance laws, which are equivalent to m = µ1u + µ2e3 (2) for some scalars µ1 and µ2 and e3 = (0, 0, 1), and constitutive relation m = K (u − ˆu) . (3) Every helix u at equilibrium, with reference state uˆ, is such that there is some scalars µ1, µ2 with µ1u + µ2e3 = K (u − ˆu) µ1u1 = K1 (u1 − uˆ1) + K13 (u3 − uˆ3) (4) ⇔ µ1u2 = K2 (u2 − uˆ2) + K23 (u3 − uˆ3) µ1u3 + µ2 = K13 (u1 − uˆ1) + K23 (u1 − uˆ1) + K3 (u3 − uˆ3) Assuming u1 and u2 are not zero at the same time, we can rewrite this surface (K2 − K1) u1u2 + K23u1u3 − K13u2u3 − (K2uˆ2 + K23uˆ3) u1 + (K1uˆ1 + K13uˆ3) u2 = 0. (5) 1 Since this is a quadratic surface, we will study further their properties. But before going to general cases, let us observe that the u3 axis is included in (5) for any values of ˆu and K components. -
The J-Invariant, Tits Algebras and Triality
The J-invariant, Tits algebras and triality A. Qu´eguiner-Mathieu, N. Semenov, K. Zainoulline Abstract In the present paper we set up a connection between the indices of the Tits algebras of a semisimple linear algebraic group G and the degree one indices of its motivic J-invariant. Our main technical tools are the second Chern class map and Grothendieck's γ-filtration. As an application we provide lower and upper bounds for the degree one indices of the J-invariant of an algebra A with orthogonal involution σ and describe all possible values of the J-invariant in the trialitarian case, i.e., when degree of A equals 8. Moreover, we establish several relations between the J-invariant of (A; σ) and the J-invariant of the corresponding quadratic form over the function field of the Severi-Brauer variety of A. MSC: Primary 20G15, 14C25; Secondary 16W10, 11E04. Keywords: linear algebraic group, torsor, Tits algebra, triality, algebra with involution, Chow motive. Introduction The notion of a Tits algebra was introduced by Jacques Tits in his celebrated paper on irreducible representations [Ti71]. This invariant of a linear algebraic group G plays a crucial role in the computation of the K-theory of twisted flag varieties by Panin [Pa94] and in the index reduction formulas by Merkurjev, Panin and Wadsworth [MPW96]. It has important applications to the classifi- cation of linear algebraic groups, and to the study of the associated homogeneous varieties. Another invariant of a linear algebraic group, the J-invariant, has been recently defined in [PSZ08]. It extends the J-invariant of a quadratic form which was studied during the last decade, notably by Karpenko, Merkurjev, Rost and Vishik. -
Majorana Spinors
MAJORANA SPINORS JOSE´ FIGUEROA-O'FARRILL Contents 1. Complex, real and quaternionic representations 2 2. Some basis-dependent formulae 5 3. Clifford algebras and their spinors 6 4. Complex Clifford algebras and the Majorana condition 10 5. Examples 13 One dimension 13 Two dimensions 13 Three dimensions 14 Four dimensions 14 Six dimensions 15 Ten dimensions 16 Eleven dimensions 16 Twelve dimensions 16 ...and back! 16 Summary 19 References 19 These notes arose as an attempt to conceptualise the `symplectic Majorana{Weyl condition' in 5+1 dimensions; but have turned into a general discussion of spinors. Spinors play a crucial role in supersymmetry. Part of their versatility is that they come in many guises: `Dirac', `Majorana', `Weyl', `Majorana{Weyl', `symplectic Majorana', `symplectic Majorana{Weyl', and their `pseudo' counterparts. The tra- ditional physics approach to this topic is a mixed bag of tricks using disparate aspects of representation theory of finite groups. In these notes we will attempt to provide a uniform treatment based on the classification of Clifford algebras, a work dating back to the early 60s and all but ignored by the theoretical physics com- munity. Recent developments in superstring theory have made us re-examine the conditions for the existence of different kinds of spinors in spacetimes of arbitrary signature, and we believe that a discussion of this more uniform approach is timely and could be useful to the student meeting this topic for the first time or to the practitioner who has difficulty remembering the answer to questions like \when do symplectic Majorana{Weyl spinors exist?" The notes are organised as follows. -
QUADRATIC FORMS and DEFINITE MATRICES 1.1. Definition of A
QUADRATIC FORMS AND DEFINITE MATRICES 1. DEFINITION AND CLASSIFICATION OF QUADRATIC FORMS 1.1. Definition of a quadratic form. Let A denote an n x n symmetric matrix with real entries and let x denote an n x 1 column vector. Then Q = x’Ax is said to be a quadratic form. Note that a11 ··· a1n . x1 Q = x´Ax =(x1...xn) . xn an1 ··· ann P a1ixi . =(x1,x2, ··· ,xn) . P anixi 2 (1) = a11x1 + a12x1x2 + ... + a1nx1xn 2 + a21x2x1 + a22x2 + ... + a2nx2xn + ... + ... + ... 2 + an1xnx1 + an2xnx2 + ... + annxn = Pi ≤ j aij xi xj For example, consider the matrix 12 A = 21 and the vector x. Q is given by 0 12x1 Q = x Ax =[x1 x2] 21 x2 x1 =[x1 +2x2 2 x1 + x2 ] x2 2 2 = x1 +2x1 x2 +2x1 x2 + x2 2 2 = x1 +4x1 x2 + x2 1.2. Classification of the quadratic form Q = x0Ax: A quadratic form is said to be: a: negative definite: Q<0 when x =06 b: negative semidefinite: Q ≤ 0 for all x and Q =0for some x =06 c: positive definite: Q>0 when x =06 d: positive semidefinite: Q ≥ 0 for all x and Q = 0 for some x =06 e: indefinite: Q>0 for some x and Q<0 for some other x Date: September 14, 2004. 1 2 QUADRATIC FORMS AND DEFINITE MATRICES Consider as an example the 3x3 diagonal matrix D below and a general 3 element vector x. 100 D = 020 004 The general quadratic form is given by 100 x1 0 Q = x Ax =[x1 x2 x3] 020 x2 004 x3 x1 =[x 2 x 4 x ] x2 1 2 3 x3 2 2 2 = x1 +2x2 +4x3 Note that for any real vector x =06 , that Q will be positive, because the square of any number is positive, the coefficients of the squared terms are positive and the sum of positive numbers is always positive. -
Symmetric Matrices and Quadratic Forms Quadratic Form
Symmetric Matrices and Quadratic Forms Quadratic form • Suppose 풙 is a column vector in ℝ푛, and 퐴 is a symmetric 푛 × 푛 matrix. • The term 풙푇퐴풙 is called a quadratic form. • The result of the quadratic form is a scalar. (1 × 푛)(푛 × 푛)(푛 × 1) • The quadratic form is also called a quadratic function 푄 풙 = 풙푇퐴풙. • The quadratic function’s input is the vector 푥 and the output is a scalar. 2 Quadratic form • Suppose 푥 is a vector in ℝ3, the quadratic form is: 푎11 푎12 푎13 푥1 푇 • 푄 풙 = 풙 퐴풙 = 푥1 푥2 푥3 푎21 푎22 푎23 푥2 푎31 푎32 푎33 푥3 2 2 2 • 푄 풙 = 푎11푥1 + 푎22푥2 + 푎33푥3 + ⋯ 푎12 + 푎21 푥1푥2 + 푎13 + 푎31 푥1푥3 + 푎23 + 푎32 푥2푥3 • Since 퐴 is symmetric 푎푖푗 = 푎푗푖, so: 2 2 2 • 푄 풙 = 푎11푥1 + 푎22푥2 + 푎33푥3 + 2푎12푥1푥2 + 2푎13푥1푥3 + 2푎23푥2푥3 3 Quadratic form • Example: find the quadratic polynomial for the following symmetric matrices: 1 −1 0 1 0 퐴 = , 퐵 = −1 2 1 0 2 0 1 −1 푇 1 0 푥1 2 2 • 푄 풙 = 풙 퐴풙 = 푥1 푥2 = 푥1 + 2푥2 0 2 푥2 1 −1 0 푥1 푇 2 2 2 • 푄 풙 = 풙 퐵풙 = 푥1 푥2 푥3 −1 2 1 푥2 = 푥1 + 2푥2 − 푥3 − 0 1 −1 푥3 2푥1푥2 + 2푥2푥3 4 Motivation for quadratic forms • Example: Consider the function 2 2 푄 푥 = 8푥1 − 4푥1푥2 + 5푥2 Determine whether Q(0,0) is the global minimum. • Solution we can rewrite following equation as quadratic form 8 −2 푄 푥 = 푥푇퐴푥 푤ℎ푒푟푒 퐴 = −2 5 The matrix A is symmetric by construction. -
Quadratic Forms ¨
MATH 355 Supplemental Notes Quadratic Forms Quadratic Forms Each of 2 x2 ?2x 7, 3x18 x11, and 0 ´ ` ´ ⇡ is a polynomial in the single variable x. But polynomials can involve more than one variable. For instance, 1 ?5x8 x x4 x3x and 3x2 2x x 7x2 1 ´ 3 1 2 ` 1 2 1 ` 1 2 ` 2 are polynomials in the two variables x1, x2; products between powers of variables in terms are permissible, but all exponents in such powers must be nonnegative integers to fit the classification polynomial. The degrees of the terms of 1 ?5x8 x x4 x3x 1 ´ 3 1 2 ` 1 2 are 8, 5 and 4, respectively. When all terms in a polynomial are of the same degree k, we call that polynomial a k-form. Thus, 3x2 2x x 7x2 1 ` 1 2 ` 2 is a 2-form (also known as a quadratic form) in two variables, while the dot product of a constant vector a and a vector x Rn of unknowns P a1 x1 »a2fi »x2fi a x a x a x a x “ . “ 1 1 ` 2 2 `¨¨¨` n n ¨ — . ffi ¨ — . ffi — ffi — ffi —a ffi —x ffi — nffi — nffi – fl – fl is a 1-form, or linear form in the n variables found in x. The quadratic form in variables x1, x2 T 2 2 x1 ab2 x1 ax1 bx1x2 cx2 { Ax, x , ` ` “ «x2ff «b 2 c ff«x2ff “ x y { for ab2 x1 A { and x . “ «b 2 c ff “ «x2ff { Similarly, a quadratic form in variables x1, x2, x3 like 2x2 3x x x2 4x x 5x x can be written as Ax, x , 1 ´ 1 2 ´ 2 ` 1 3 ` 2 3 x y where 2 1.52 x ´ 1 A 1.5 12.5 and x x . -
Chapter IX. Tensors and Multilinear Forms
Notes c F.P. Greenleaf and S. Marques 2006-2016 LAII-s16-quadforms.tex version 4/25/2016 Chapter IX. Tensors and Multilinear Forms. IX.1. Basic Definitions and Examples. 1.1. Definition. A bilinear form is a map B : V V C that is linear in each entry when the other entry is held fixed, so that × → B(αx, y) = αB(x, y)= B(x, αy) B(x + x ,y) = B(x ,y)+ B(x ,y) for all α F, x V, y V 1 2 1 2 ∈ k ∈ k ∈ B(x, y1 + y2) = B(x, y1)+ B(x, y2) (This of course forces B(x, y)=0 if either input is zero.) We say B is symmetric if B(x, y)= B(y, x), for all x, y and antisymmetric if B(x, y)= B(y, x). Similarly a multilinear form (aka a k-linear form , or a tensor− of rank k) is a map B : V V F that is linear in each entry when the other entries are held fixed. ×···×(0,k) → We write V = V ∗ . V ∗ for the set of k-linear forms. The reason we use V ∗ here rather than V , and⊗ the⊗ rationale for the “tensor product” notation, will gradually become clear. The set V ∗ V ∗ of bilinear forms on V becomes a vector space over F if we define ⊗ 1. Zero element: B(x, y) = 0 for all x, y V ; ∈ 2. Scalar multiple: (αB)(x, y)= αB(x, y), for α F and x, y V ; ∈ ∈ 3. Addition: (B + B )(x, y)= B (x, y)+ B (x, y), for x, y V . -
Compactification of Classical Groups
COMMUNICATIONS IN ANALYSIS AND GEOMETRY Volume 10, Number 4, 709-740, 2002 Compactification of Classical Groups HONGYU HE 0. Introduction. 0.1. Historical Notes. Compactifications of symmetric spaces and their arithmetic quotients have been studied by many people from different perspectives. Its history went back to E. Cartan's original paper ([2]) on Hermitian symmetric spaces. Cartan proved that a Hermitian symmetric space of noncompact type can be realized as a bounded domain in a complex vector space. The com- pactification of Hermitian symmetric space was subsequently studied by Harish-Chandra and Siegel (see [16]). Thereafter various compactifications of noncompact symmetric spaces in general were studied by Satake (see [14]), Furstenberg (see [3]), Martin (see [4]) and others. These compact- ifications are more or less of the same nature as proved by C. Moore (see [11]) and by Guivarc'h-Ji-Taylor (see [4]). In the meanwhile, compacti- fication of the arithmetic quotients of symmetric spaces was explored by Satake (see [15]), Baily-Borel (see [1]), and others. It plays a significant role in the theory of automorphic forms. One of the main problems involved is the analytic properties of the boundary under the compactification. In all these compactifications that have been studied so far, the underlying compact space always has boundary. For a more detailed account of these compactifications, see [16] and [4]. In this paper, motivated by the author's work on the compactification of symplectic group (see [9]), we compactify all the classical groups. One nice feature of our compactification is that the underlying compact space is a symmetric space of compact type. -
Forms on Inner Product Spaces
FORMS ON INNER PRODUCT SPACES MARIA INFUSINO PROSEMINAR ON LINEAR ALGEBRA WS2016/2017 UNIVERSITY OF KONSTANZ Abstract. This note aims to give an introduction on forms on inner product spaces and their relation to linear operators. After briefly recalling some basic concepts from the theory of linear operators on inner product spaces, we focus on the space of forms on a real or complex finite-dimensional vector space V and show that it is isomorphic to the space of linear operators on V . We also describe the matrix representation of a form with respect to an ordered basis of the space on which it is defined, giving special attention to the case of forms on finite-dimensional complex inner product spaces and in particular to Hermitian forms. Contents Introduction 1 1. Preliminaries 1 2. Sesquilinear forms on inner product spaces 3 3. Matrix representation of a form 4 4. Hermitian forms 6 Notes 7 References 8 FORMS ON INNER PRODUCT SPACES 1 Introduction In this note we are going to introduce the concept of forms on an inner product space and describe some of their main properties (c.f. [2, Section 9.2]). The notion of inner product is a basic notion in linear algebra which allows to rigorously in- troduce on any vector space intuitive geometrical notions such as the length of an element and the orthogonality between two of them. We will just recall this notion in Section 1 together with some basic examples (for more details on this structure see e.g. [1, Chapter 3], [2, Chapter 8], [3]).