Examples of Geometric Transition in Low Dimensions Andrea Seppi
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Quadratic Forms and Automorphic Forms
Quadratic Forms and Automorphic Forms Jonathan Hanke May 16, 2011 2 Contents 1 Background on Quadratic Forms 11 1.1 Notation and Conventions . 11 1.2 Definitions of Quadratic Forms . 11 1.3 Equivalence of Quadratic Forms . 13 1.4 Direct Sums and Scaling . 13 1.5 The Geometry of Quadratic Spaces . 14 1.6 Quadratic Forms over Local Fields . 16 1.7 The Geometry of Quadratic Lattices – Dual Lattices . 18 1.8 Quadratic Forms over Local (p-adic) Rings of Integers . 19 1.9 Local-Global Results for Quadratic forms . 20 1.10 The Neighbor Method . 22 1.10.1 Constructing p-neighbors . 22 2 Theta functions 25 2.1 Definitions and convergence . 25 2.2 Symmetries of the theta function . 26 2.3 Modular Forms . 28 2.4 Asymptotic Statements about rQ(m) ...................... 31 2.5 The circle method and Siegel’s Formula . 32 2.6 Mass Formulas . 34 2.7 An Example: The sum of 4 squares . 35 2.7.1 Canonical measures for local densities . 36 2.7.2 Computing β1(m) ............................ 36 2.7.3 Understanding βp(m) by counting . 37 2.7.4 Computing βp(m) for all primes p ................... 38 2.7.5 Computing rQ(m) for certain m ..................... 39 3 Quaternions and Clifford Algebras 41 3.1 Definitions . 41 3.2 The Clifford Algebra . 45 3 4 CONTENTS 3.3 Connecting algebra and geometry in the orthogonal group . 47 3.4 The Spin Group . 49 3.5 Spinor Equivalence . 52 4 The Theta Lifting 55 4.1 Classical to Adelic modular forms for GL2 .................. -
Hyperbolic Geometry
Hyperbolic Geometry David Gu Yau Mathematics Science Center Tsinghua University Computer Science Department Stony Brook University [email protected] September 12, 2020 David Gu (Stony Brook University) Computational Conformal Geometry September 12, 2020 1 / 65 Uniformization Figure: Closed surface uniformization. David Gu (Stony Brook University) Computational Conformal Geometry September 12, 2020 2 / 65 Hyperbolic Structure Fundamental Group Suppose (S; g) is a closed high genus surface g > 1. The fundamental group is π1(S; q), represented as −1 −1 −1 −1 π1(S; q) = a1; b1; a2; b2; ; ag ; bg a1b1a b ag bg a b : h ··· j 1 1 ··· g g i Universal Covering Space universal covering space of S is S~, the projection map is p : S~ S.A ! deck transformation is an automorphism of S~, ' : S~ S~, p ' = '. All the deck transformations form the Deck transformation! group◦ DeckS~. ' Deck(S~), choose a pointq ~ S~, andγ ~ S~ connectsq ~ and '(~q). The 2 2 ⊂ projection γ = p(~γ) is a loop on S, then we obtain an isomorphism: Deck(S~) π1(S; q);' [γ] ! 7! David Gu (Stony Brook University) Computational Conformal Geometry September 12, 2020 3 / 65 Hyperbolic Structure Uniformization The uniformization metric is ¯g = e2ug, such that the K¯ 1 everywhere. ≡ − 2 Then (S~; ¯g) can be isometrically embedded on the hyperbolic plane H . The On the hyperbolic plane, all the Deck transformations are isometric transformations, Deck(S~) becomes the so-called Fuchsian group, −1 −1 −1 −1 Fuchs(S) = α1; β1; α2; β2; ; αg ; βg α1β1α β αg βg α β : h ··· j 1 1 ··· g g i The Fuchsian group generators are global conformal invariants, and form the coordinates in Teichm¨ullerspace. -
Cross-Ratio Dynamics on Ideal Polygons
Cross-ratio dynamics on ideal polygons Maxim Arnold∗ Dmitry Fuchsy Ivan Izmestievz Serge Tabachnikovx Abstract Two ideal polygons, (p1; : : : ; pn) and (q1; : : : ; qn), in the hyperbolic plane or in hyperbolic space are said to be α-related if the cross-ratio [pi; pi+1; qi; qi+1] = α for all i (the vertices lie on the projective line, real or complex, respectively). For example, if α = 1, the respec- − tive sides of the two polygons are orthogonal. This relation extends to twisted ideal polygons, that is, polygons with monodromy, and it descends to the moduli space of M¨obius-equivalent polygons. We prove that this relation, which is, generically, a 2-2 map, is completely integrable in the sense of Liouville. We describe integrals and invari- ant Poisson structures, and show that these relations, with different values of the constants α, commute, in an appropriate sense. We inves- tigate the case of small-gons, describe the exceptional ideal polygons, that possess infinitely many α-related polygons, and study the ideal polygons that are α-related to themselves (with a cyclic shift of the indices). Contents 1 Introduction 3 ∗Department of Mathematics, University of Texas, 800 West Campbell Road, Richard- son, TX 75080; [email protected] yDepartment of Mathematics, University of California, Davis, CA 95616; [email protected] zDepartment of Mathematics, University of Fribourg, Chemin du Mus´ee 23, CH-1700 Fribourg; [email protected] xDepartment of Mathematics, Pennsylvania State University, University Park, PA 16802; [email protected] 1 1.1 Motivation: iterations of evolutes . .3 1.2 Plan of the paper and main results . -
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. -
Quadratic Form - Wikipedia, the Free Encyclopedia
Quadratic form - Wikipedia, the free encyclopedia http://en.wikipedia.org/wiki/Quadratic_form Quadratic form From Wikipedia, the free encyclopedia In mathematics, a quadratic form is a homogeneous polynomial of degree two in a number of variables. For example, is a quadratic form in the variables x and y. Quadratic forms occupy a central place in various branches of mathematics, including number theory, linear algebra, group theory (orthogonal group), differential geometry (Riemannian metric), differential topology (intersection forms of four-manifolds), and Lie theory (the Killing form). Contents 1 Introduction 2 History 3 Real quadratic forms 4 Definitions 4.1 Quadratic spaces 4.2 Further definitions 5 Equivalence of forms 6 Geometric meaning 7 Integral quadratic forms 7.1 Historical use 7.2 Universal quadratic forms 8 See also 9 Notes 10 References 11 External links Introduction Quadratic forms are homogeneous quadratic polynomials in n variables. In the cases of one, two, and three variables they are called unary, binary, and ternary and have the following explicit form: where a,…,f are the coefficients.[1] Note that quadratic functions, such as ax2 + bx + c in the one variable case, are not quadratic forms, as they are typically not homogeneous (unless b and c are both 0). The theory of quadratic forms and methods used in their study depend in a large measure on the nature of the 1 of 8 27/03/2013 12:41 Quadratic form - Wikipedia, the free encyclopedia http://en.wikipedia.org/wiki/Quadratic_form coefficients, which may be real or complex numbers, rational numbers, or integers. In linear algebra, analytic geometry, and in the majority of applications of quadratic forms, the coefficients are real or complex numbers. -
Ellipse Axes, Eccentricity, and Direction of Rotation
Math 558 Prof. J. Rauch Ellipse Axes. Aspect ratio, and, Direction of Rotation for Planar Centers This handout concerns 2×2 constant coefficient real homogeneous linear systems X0 = AX in the case that A has a pair of complex conjugate eigenvalues a ± ib, b 6= 0. The orbits are elliptical if a = 0 while in the general case, e−atX(t) is elliptical. The latter curves are the solutions of the equation tr A X0 = (A − aI)X; a = : 2 For either elliptical or spiral orbits we associate this modified equation that has elliptical orbits. The new coefficient matrix A − (tr A=2)I has trace equal to zero and positive determinant. These two conditions characterize the matrices with a pair of non zero complex conjugate eigenvalues on the imaginary axis. Those are the matrices for which the phase portrait is a center. We show how to compute the axes of the ellipse, the eccentricity of the ellipse, and the direction of rotation, clockwise or counterclockwise. x1. Direction of rotation. To determine the direction of rotation it suffices to find the direction of the rotation on the positive x1-axis. If the flow is upward (resp. downward) then the swirl is counterclockwise (resp. clockwise). For a matrix A that has no real eigenvalues, the direction of swirl is counterclockwise if and only if the second coordinate of 1 a A = 11 0 a21 is positive, if and only if a21 > 0. The swirl is counterclockwise if and only if a21 > 0. Freeing this computation from the choice (1; 0) introduces an interesting real quadratic form. -
Quadratic Forms and Their Applications
Quadratic Forms and Their Applications Proceedings of the Conference on Quadratic Forms and Their Applications July 5{9, 1999 University College Dublin Eva Bayer-Fluckiger David Lewis Andrew Ranicki Editors Published as Contemporary Mathematics 272, A.M.S. (2000) vii Contents Preface ix Conference lectures x Conference participants xii Conference photo xiv Galois cohomology of the classical groups Eva Bayer-Fluckiger 1 Symplectic lattices Anne-Marie Berge¶ 9 Universal quadratic forms and the ¯fteen theorem J.H. Conway 23 On the Conway-Schneeberger ¯fteen theorem Manjul Bhargava 27 On trace forms and the Burnside ring Martin Epkenhans 39 Equivariant Brauer groups A. FrohlichÄ and C.T.C. Wall 57 Isotropy of quadratic forms and ¯eld invariants Detlev W. Hoffmann 73 Quadratic forms with absolutely maximal splitting Oleg Izhboldin and Alexander Vishik 103 2-regularity and reversibility of quadratic mappings Alexey F. Izmailov 127 Quadratic forms in knot theory C. Kearton 135 Biography of Ernst Witt (1911{1991) Ina Kersten 155 viii Generic splitting towers and generic splitting preparation of quadratic forms Manfred Knebusch and Ulf Rehmann 173 Local densities of hermitian forms Maurice Mischler 201 Notes towards a constructive proof of Hilbert's theorem on ternary quartics Victoria Powers and Bruce Reznick 209 On the history of the algebraic theory of quadratic forms Winfried Scharlau 229 Local fundamental classes derived from higher K-groups: III Victor P. Snaith 261 Hilbert's theorem on positive ternary quartics Richard G. Swan 287 Quadratic forms and normal surface singularities C.T.C. Wall 293 ix Preface These are the proceedings of the conference on \Quadratic Forms And Their Applications" which was held at University College Dublin from 5th to 9th July, 1999. -
2 Characteristic-Value Problems and Quadratic Forms
SEC. 2-1. INTRODUCTION 47 Assuming a solution of the form °t y' = Ale wt' Y2 = A2eic (b) and substituting in (a) lead to the following set of algebraic equations relating the frequency, co, and the amplitudes, AI, A2: 2 2 (k1 + k2)A - k2A2 = n1co A 1 2 c -k 2 Al + k 2A2 = 2co A 2 We can transform (c) to a form similar to that of(2-1) by defining new amplitude Characteristic-Value measures,* = )2 Problems and A = A 12, (d) A.2 = A 2 I and the final equations are Forms kL + k2- k2 - 1 Quadratic 712 = 4A1 --- - A1 inYZ1n nrz (e) A, + A--2 =A2 1/1-1I1n /'2 2-1. INTRODUCTION The characteristic values and corresponding nontrivial solutions of (e) are Consider the second-order homogeneous system, related to the natural frequencies and normal mode amplitudes by (d). Note in (e) is symmetrical. This fact is quite significant, (all - )x + a,2x-2 0 (2-1) that the coefficient matrix as we shall see in the following sections. a21x1 + (a2 2 - )X2 0 where A is a scalar. Using matrix notation, we can write (2-1) as ax = Ax (2-2) Y21 M2 or (2-3) (a - 21 2)X 0 k2 The values of 2 for which nontrivial solutions of (2-1) exist are called the characteristicvalues of a. Also, the problem of finding the characteristic values and corresponding nontrivial solutions of(2-) is referred to as a second-order characteristic-value problem.* The characteristic-value problem occurs naturally in the free-vibration analysis of a linear system. -
Contents 5 Bilinear and Quadratic Forms
Linear Algebra (part 5): Bilinear and Quadratic Forms (by Evan Dummit, 2020, v. 1.00) Contents 5 Bilinear and Quadratic Forms 1 5.1 Bilinear Forms . 1 5.1.1 Denition, Associated Matrices, Basic Properties . 1 5.1.2 Symmetric Bilinear Forms and Diagonalization . 3 5.2 Quadratic Forms . 5 5.2.1 Denition and Basic Properties . 6 5.2.2 Quadratic Forms Over Rn: Diagonalization of Quadratic Varieties . 7 5.2.3 Quadratic Forms Over Rn: The Second Derivatives Test . 9 5.2.4 Quadratic Forms Over Rn: Sylvester's Law of Inertia . 11 5 Bilinear and Quadratic Forms In this chapter, we will discuss bilinear and quadratic forms. Bilinear forms are simply linear transformations that are linear in more than one variable, and they will allow us to extend our study of linear phenomena. They are closely related to quadratic forms, which are (classically speaking) homogeneous quadratic polynomials in multiple variables. Despite the fact that quadratic forms are not linear, we can (perhaps surprisingly) still use many of the tools of linear algebra to study them. 5.1 Bilinear Forms • We begin by discussing basic properties of bilinear forms on an arbitrary vector space. 5.1.1 Denition, Associated Matrices, Basic Properties • Let V be a vector space over the eld F . • Denition: A function Φ: V × V ! F is a bilinear form on V if it is linear in each variable when the other variable is xed. Explicitly, this means Φ(v1 + αv2; y) = Φ(v1; w) + αΦ(v2; w) and Φ(v; w1 + αw2) = Φ(v; w1) + αΦ(v; w2) for arbitrary vi; wi 2 V and α 2 F . -
MATH32052 Hyperbolic Geometry
MATH32052 Hyperbolic Geometry Charles Walkden 12th January, 2019 MATH32052 Contents Contents 0 Preliminaries 3 1 Where we are going 6 2 Length and distance in hyperbolic geometry 13 3 Circles and lines, M¨obius transformations 18 4 M¨obius transformations and geodesics in H 23 5 More on the geodesics in H 26 6 The Poincar´edisc model 39 7 The Gauss-Bonnet Theorem 44 8 Hyperbolic triangles 52 9 Fixed points of M¨obius transformations 56 10 Classifying M¨obius transformations: conjugacy, trace, and applications to parabolic transformations 59 11 Classifying M¨obius transformations: hyperbolic and elliptic transforma- tions 62 12 Fuchsian groups 66 13 Fundamental domains 71 14 Dirichlet polygons: the construction 75 15 Dirichlet polygons: examples 79 16 Side-pairing transformations 84 17 Elliptic cycles 87 18 Generators and relations 92 19 Poincar´e’s Theorem: the case of no boundary vertices 97 20 Poincar´e’s Theorem: the case of boundary vertices 102 c The University of Manchester 1 MATH32052 Contents 21 The signature of a Fuchsian group 109 22 Existence of a Fuchsian group with a given signature 117 23 Where we could go next 123 24 All of the exercises 126 25 Solutions 138 c The University of Manchester 2 MATH32052 0. Preliminaries 0. Preliminaries 0.1 Contact details § The lecturer is Dr Charles Walkden, Room 2.241, Tel: 0161 27 55805, Email: [email protected]. My office hour is: WHEN?. If you want to see me at another time then please email me first to arrange a mutually convenient time. 0.2 Course structure § 0.2.1 MATH32052 § MATH32052 Hyperbolic Geoemtry is a 10 credit course. -
7 Quadratic Forms in N Variables
7 Quadratic forms in n variables In order to understand quadratic forms in n variables over Z, one is let to study quadratic forms over various rings and fields such as Q, Qp, R and Zp. This is consistent with the basic premise of algebraic number theory, which was the idea that to study solutions of a Diophantine equation in Z, it is useful study the equation over other rings. Definition 7.0.8. Let R be a ring. A quadratic form in n variables (or n-ary quadratic form) over R is a homogenous polynomial of degree 2 in R[x1,x2,...,xn]. For example x2 yz is a ternary (3 variable) quadratic form over any ring, since the coefficients − 2 1 1 1 live inside any ring R. On the other hand x 2 yz is not a quadratic form over Z, since 2 Z, ± − 1 − ∈ but it can be viewed as a quadratic form over Q, Zp for p =2, Q2, R or C since lies in each − 2 of those rings. In fact it can be viewed as a quadratic form over Z/nZ for any odd n,as 2 is − invertible mod n whenever n is odd. The subject of quadratic forms is vast and central to many parts of mathematics, such as linear algebra and Lie theory, algebraic topology, and Riemannian geometry, as well as number theory. One cannot hope to cover everything about quadratic forms, even just in number theory, in a single course, let alone one or two chapters. I will describe the classification of quadratic forms over Qp and R without proof, explain how one can use this to study forms over Zp and Z, subsequently prove Gauss’ and Lagrange’s theorems on sums of 3 and 4 squares, and then briefly explain some of the general theory of representation of numbers by quadratic forms. -
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