Harmonic Analysis on the Proper Velocity Gyrogroup ∗ 1 Introduction
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Ladder Operators for Lam\'E Spheroconal Harmonic Polynomials
Symmetry, Integrability and Geometry: Methods and Applications SIGMA 8 (2012), 074, 16 pages Ladder Operators for Lam´eSpheroconal Harmonic Polynomials? Ricardo MENDEZ-FRAGOSO´ yz and Eugenio LEY-KOO z y Facultad de Ciencias, Universidad Nacional Aut´onomade M´exico, M´exico E-mail: [email protected] URL: http://sistemas.fciencias.unam.mx/rich/ z Instituto de F´ısica, Universidad Nacional Aut´onomade M´exico, M´exico E-mail: eleykoo@fisica.unam.mx Received July 31, 2012, in final form October 09, 2012; Published online October 17, 2012 http://dx.doi.org/10.3842/SIGMA.2012.074 Abstract. Three sets of ladder operators in spheroconal coordinates and their respective actions on Lam´espheroconal harmonic polynomials are presented in this article. The poly- nomials are common eigenfunctions of the square of the angular momentum operator and of the asymmetry distribution Hamiltonian for the rotations of asymmetric molecules, in the body-fixed frame with principal axes. The first set of operators for Lam´epolynomials of a given species and a fixed value of the square of the angular momentum raise and lower and lower and raise in complementary ways the quantum numbers n1 and n2 counting the respective nodal elliptical cones. The second set of operators consisting of the cartesian components L^x, L^y, L^z of the angular momentum connect pairs of the four species of poly- nomials of a chosen kind and angular momentum. The third set of operators, the cartesian componentsp ^x,p ^y,p ^z of the linear momentum, connect pairs of the polynomials differing in one unit in their angular momentum and in their parities. -
Models of 2-Dimensional Hyperbolic Space and Relations Among Them; Hyperbolic Length, Lines, and Distances
Models of 2-dimensional hyperbolic space and relations among them; Hyperbolic length, lines, and distances Cheng Ka Long, Hui Kam Tong 1155109623, 1155109049 Course Teacher: Prof. Yi-Jen LEE Department of Mathematics, The Chinese University of Hong Kong MATH4900E Presentation 2, 5th October 2020 Outline Upper half-plane Model (Cheng) A Model for the Hyperbolic Plane The Riemann Sphere C Poincar´eDisc Model D (Hui) Basic properties of Poincar´eDisc Model Relation between D and other models Length and distance in the upper half-plane model (Cheng) Path integrals Distance in hyperbolic geometry Measurements in the Poincar´eDisc Model (Hui) M¨obiustransformations of D Hyperbolic length and distance in D Conclusion Boundary, Length, Orientation-preserving isometries, Geodesics and Angles Reference Upper half-plane model H Introduction to Upper half-plane model - continued Hyperbolic geometry Five Postulates of Hyperbolic geometry: 1. A straight line segment can be drawn joining any two points. 2. Any straight line segment can be extended indefinitely in a straight line. 3. A circle may be described with any given point as its center and any distance as its radius. 4. All right angles are congruent. 5. For any given line R and point P not on R, in the plane containing both line R and point P there are at least two distinct lines through P that do not intersect R. Some interesting facts about hyperbolic geometry 1. Rectangles don't exist in hyperbolic geometry. 2. In hyperbolic geometry, all triangles have angle sum < π 3. In hyperbolic geometry if two triangles are similar, they are congruent. -
1 Euclidean Geometry
Dr. Anna Felikson, Durham University Geometry, 26.02.2015 Outline 1 Euclidean geometry 1.1 Isometry group of Euclidean plane, Isom(E2). A distance on a space X is a function d : X × X ! R,(A; B) 7! d(A; B) for A; B 2 X satisfying 1. d(A; B) ≥ 0 (d(A; B) = 0 , A = B); 2. d(A; B) = d(B; A); 3. d(A; C) ≤ d(A; B) + d(B; C) (triangle inequality). We will use two models of Euclidean plane: p 2 2 a Cartesian plane: f(x; y) j x; y 2 Rg with the distance d(A1;A2) = (x1 − x2) + (y1 − y2) ; a Gaussian plane: fz j z 2 Cg, with the distance d(u; v) = ju − vj. Definition 1.1. A Euclidean isometry is a distance-preserving transformation of E2, i.e. a map f : E2 ! E2 satisfying d(f(A); f(B)) = d(A; B). Corollary 1.2. (a) Every isometry of E2 is a one-to-one map. (b) The composition of any two isometries is an isometry. (c) Isometries of E2 form a group (denoted Isom(E2)). Example 1.3: Translation, rotation, reflection in a line are isometries. Theorem 1.4. Let ABC and A0B0C0 be two congruent triangles. Then there exists a unique isometry sending A to A0, B to B0 and C to C0. Corollary 1.5. Every isometry of E2 is a composition of at most 3 reflections. (In particular, the group Isom(E2) is generated by reflections). Remark: the way to write an isometry as a composition of reflection is not unique. -
Hyperbolic Geometry on a Hyperboloid, the American Mathematical Monthly, 100:5, 442-455, DOI: 10.1080/00029890.1993.11990430
William F. Reynolds (1993) Hyperbolic Geometry on a Hyperboloid, The American Mathematical Monthly, 100:5, 442-455, DOI: 10.1080/00029890.1993.11990430. (c) 1993 The American Mathematical Monthly 1985 Mathematics Subject Classification 51 M 10 HYPERBOLIC GEOMETRY ON A HYPERBOLOID William F. Reynolds Department of Mathematics, Tufts University, Medford, MA 02155 E-mail: [email protected] 1. Introduction. Hardly anyone would maintain that it is better to begin to learn geography from flat maps than from a globe. But almost all introductions to hyperbolic non-Euclidean geometry, except [6], present plane models, such as the projective and conformal disk models, without even mentioning that there exists a model that has the same relation to plane models that a globe has to flat maps. This model, which is on one sheet of a hyperboloid of two sheets in Minkowski 3-space and which I shall call H2, is over a hundred years old; Killing and Poincar´eboth described it in the 1880's (see Section 14). It is used by differential geometers [29, p. 4] and physicists (see [21, pp. 724-725] and [23, p. 113]). Nevertheless it is not nearly so well known as it should be, probably because, like a globe, it requires three dimensions. The main advantages of this model are its naturalness and its symmetry. Being embeddable (distance function and all) in flat space-time, it is close to our picture of physical reality, and all its points are treated alike in this embedding. Once the strangeness of the Minkowski metric is accepted, it has the familiar geometry of a sphere in Euclidean 3-space E3 as a guide to definitions and arguments. -
Hyperbolic Geometry
Flavors of Geometry MSRI Publications Volume 31,1997 Hyperbolic Geometry JAMES W. CANNON, WILLIAM J. FLOYD, RICHARD KENYON, AND WALTER R. PARRY Contents 1. Introduction 59 2. The Origins of Hyperbolic Geometry 60 3. Why Call it Hyperbolic Geometry? 63 4. Understanding the One-Dimensional Case 65 5. Generalizing to Higher Dimensions 67 6. Rudiments of Riemannian Geometry 68 7. Five Models of Hyperbolic Space 69 8. Stereographic Projection 72 9. Geodesics 77 10. Isometries and Distances in the Hyperboloid Model 80 11. The Space at Infinity 84 12. The Geometric Classification of Isometries 84 13. Curious Facts about Hyperbolic Space 86 14. The Sixth Model 95 15. Why Study Hyperbolic Geometry? 98 16. When Does a Manifold Have a Hyperbolic Structure? 103 17. How to Get Analytic Coordinates at Infinity? 106 References 108 Index 110 1. Introduction Hyperbolic geometry was created in the first half of the nineteenth century in the midst of attempts to understand Euclid’s axiomatic basis for geometry. It is one type of non-Euclidean geometry, that is, a geometry that discards one of Euclid’s axioms. Einstein and Minkowski found in non-Euclidean geometry a This work was supported in part by The Geometry Center, University of Minnesota, an STC funded by NSF, DOE, and Minnesota Technology, Inc., by the Mathematical Sciences Research Institute, and by NSF research grants. 59 60 J. W. CANNON, W. J. FLOYD, R. KENYON, AND W. R. PARRY geometric basis for the understanding of physical time and space. In the early part of the twentieth century every serious student of mathematics and physics studied non-Euclidean geometry. -
An Algebraic Approach to Harmonic Polynomials on S3
AN ALGEBRAIC APPROACH TO HARMONIC POLYNOMIALS ON S3 Kevin Mandira Limanta A thesis in fulfillment of the requirements for the degree of Master of Science (by Research) SCHOOL OF MATHEMATICS AND STATISTICS FACULTY OF SCIENCE UNIVERSITY OF NEW SOUTH WALES June 2017 ORIGINALITY STATEMENT 'I hereby declare that this submission is my own work and to the best of my knowledge it contains no materials previously published or written by another person, or substantial proportions of material which have been accepted for the award of any other degree or diploma at UNSW or any other educational institution, except where due acknowledgement is made in the thesis. Any contribution made to the research by others, with whom I have worked at UNSW or elsewhere, is explicitly acknowledged in the thesis. I also declare that the intellectual content of this thesis is the product of my own work, except to the extent that assistance from others in the project's design and conception or in style, presentation and linguistic expression is acknowledged.' Signed .... Date Show me your ways, Lord, teach me your paths. Guide me in your truth and teach me, for you are God my Savior, and my hope is in you all day long. { Psalm 25:4-5 { i This is dedicated for you, Papa. ii Acknowledgement This thesis is the the result of my two years research in the School of Mathematics and Statistics, University of New South Wales. I learned quite a number of life lessons throughout my entire study here, for which I am very grateful of. -
A. Geodesics in the Hyperboloid Model B. Proof of Theorem 1 C
Hyperbolic Entailment Cones A. Geodesics in the Hyperboloid Model One can sanity check that indeed the formula from theorem n n 1 satisfies the conditions: The hyperboloid model is (H ; h·; ·i1), where H := fx 2 n;1 R : hx; xi1 = −1; x0 > 0g. The hyperboloid model can be viewed from the extrinsically as embedded in the pseudo- • d (γ(0); γ(t)) = t; 8t 2 [0; 1] n;1 D Riemannian manifold Minkowski space (R ; h·; ·i1) and n;1 inducing its metric. The Minkowski metric tensor gR of signature (n; 1) has the components • γ(0) = x 2−1 0 ::: 03 n;1 6 0 1 ::: 07 gR = 6 7 4 0 0 ::: 05 • γ_ (0) = v 0 0 ::: 1 The associated inner-product is hx; yi1 := −x0y0 + • lim γ(t) := γ(1) 2 @ n Pn t!1 D i=1 xiyi. Note that the hyperboloid model is a Rieman- nian manifold because the quadratic form associated with gH is positive definite. C. Proof of Corollary 1.1 n Proof. Denote u = p 1 v. Using the notations from In the extrinsic view, the tangent space at H can be de- gD(v;v) n n;1 x scribed as TxH = fv 2 R : hv; xi1 = 0g. See Robbin p Thm.1, one has expx(v) = γx;u( gxD(v; v)). Using Eq.3 & Salamon(2011); Parkkonen(2013). and6, one derives the result. Geodesics of Hn are given by the following theorem (Eq D. Proof of Corollary 1.2 (6.4.10) in Robbin & Salamon(2011)): n n Proof. -
Unifying the Hyperbolic and Spherical 2-Body Problem with Biquaternions
Unifying the Hyperbolic and Spherical 2-Body Problem with Biquaternions Philip Arathoon December 2020 Abstract The 2-body problem on the sphere and hyperbolic space are both real forms of holo- morphic Hamiltonian systems defined on the complex sphere. This admits a natural description in terms of biquaternions and allows us to address questions concerning the hyperbolic system by complexifying it and treating it as the complexification of a spherical system. In this way, results for the 2-body problem on the sphere are readily translated to the hyperbolic case. For instance, we implement this idea to completely classify the relative equilibria for the 2-body problem on hyperbolic 3-space for a strictly attractive potential. Background and outline The case of the 2-body problem on the 3-sphere has recently been considered by the author in [1]. This treatment takes advantage of the fact that S3 is a group and that the action of SO(4) on S3 is generated by the left and right multiplication of S3 on itself. This allows for a reduction in stages, first reducing by the left multiplication, and then reducing an intermediate space by the residual right-action. An advantage of this reduction-by-stages is that it allows for a fairly straightforward derivation of the relative equilibria solutions: the relative equilibria may first be classified in the intermediate reduced space and then reconstructed on the original phase space. For the 2-body problem on hyperbolic space the same idea does not apply. Hyperbolic 3-space H3 cannot be endowed with an isometric group structure and the symmetry group SO(1; 3) does not arise as a direct product of two groups. -
Self-Organization on Riemannian Manifolds
JOURNAL OF GEOMETRIC MECHANICS doi:10.3934/jgm.2019020 c American Institute of Mathematical Sciences Volume 11, Number 3, September 2019 pp. 397{426 SELF-ORGANIZATION ON RIEMANNIAN MANIFOLDS Razvan C. Fetecau∗ and Beril Zhang Department of Mathematics Simon Fraser University Burnaby, BC V5A 1S6, Canada (Communicated by Darryl D. Holm and Manuel de Le´on) Abstract. We consider an aggregation model that consists of an active trans- port equation for the macroscopic population density, where the velocity has a nonlocal functional dependence on the density, modelled via an interaction potential. We set up the model on general Riemannian manifolds and provide a framework for constructing interaction potentials which lead to equilibria that are constant on their supports. We consider such potentials for two specific cases (the two-dimensional sphere and the two-dimensional hyperbolic space) and investigate analytically and numerically the long-time behaviour and equi- librium solutions of the aggregation model on these manifolds. Equilibria ob- tained numerically with other interaction potentials and an application of the model to aggregation on the rotation group SO(3) are also presented. 1. Introduction. The literature on self-collective behaviour of autonomous agents (e.g., biological organisms, robots, nanoparticles, etc) has been growing very fast recently. One of the main interests of such research is to understand how swarm- ing and flocking behaviours emerge in groups with no leader or external coordina- tion. Such behaviours occur for instance in natural swarms, e.g., flocks of birds or schools of fish [14, 25]. Also, swarming and flocking of artificial mobile agents (e.g., robots) in the absence of a centralized coordination mechanism is of major interest in engineering [37, 38]. -
Spherical Harmonics and Homogeneous Har- Monic Polynomials
SPHERICAL HARMONICS AND HOMOGENEOUS HAR- MONIC POLYNOMIALS 1. The spherical Laplacean. Denote by S ½ R3 the unit sphere. For a function f(!) de¯ned on S, let f~ denote its extension to an open neighborhood N of S, constant along normals to S (i.e., constant along rays from the origin). We say f 2 C2(S) if f~ is a C2 function in N , and for such functions de¯ne a di®erential operator ¢S by: ¢Sf := ¢f;~ where ¢ on the right-hand side is the usual Laplace operator in R3. With a little work (omitted here) one may derive the expression for ¢ in polar coordinates (r; !) in R2 (r > 0;! 2 S): 2 1 ¢u = u + u + ¢ u: rr r r r2 S (Here ¢Su(r; !) is the operator ¢S acting on the function u(r; :) in S, for each ¯xed r.) A homogeneous polynomial of degree n ¸ 0 in three variables (x; y; z) is a linear combination of `monomials of degree n': d1 d2 d3 x y z ; di ¸ 0; d1 + d2 + d3 = n: This de¯nes a vector space (over R) denoted Pn. A simple combinatorial argument (involving balls and separators, as most of them do), seen in class, yields the dimension: 1 d := dim(P ) = (n + 1)(n + 2): n n 2 Writing a polynomial p 2 Pn in polar coordinates, we necessarily have: n p(r; !) = r f(!); f = pjS; where f is the restriction of p to S. This is an injective linear map p 7! f, but the functions on S so obtained are rather special (a dn-dimensional subspace of the in¯nite-dimensional space C(S) of continuous functions-let's call it Pn(S)) We are interested in the subspace Hn ½ Pn of homogeneous harmonic polynomials of degree n (¢p = 0). -
Ladder Operators for Lamé Spheroconal Harmonic
Symmetry, Integrability and Geometry: Methods and Applications SIGMA 8 (2012), 074, 16 pages Ladder Operators for Lam´eSpheroconal Harmonic Polynomials? Ricardo MENDEZ-FRAGOSO´ yz and Eugenio LEY-KOO z y Facultad de Ciencias, Universidad Nacional Aut´onomade M´exico, M´exico E-mail: [email protected] URL: http://sistemas.fciencias.unam.mx/rich/ z Instituto de F´ısica, Universidad Nacional Aut´onomade M´exico, M´exico E-mail: eleykoo@fisica.unam.mx Received July 31, 2012, in final form October 09, 2012; Published online October 17, 2012 http://dx.doi.org/10.3842/SIGMA.2012.074 Abstract. Three sets of ladder operators in spheroconal coordinates and their respective actions on Lam´espheroconal harmonic polynomials are presented in this article. The poly- nomials are common eigenfunctions of the square of the angular momentum operator and of the asymmetry distribution Hamiltonian for the rotations of asymmetric molecules, in the body-fixed frame with principal axes. The first set of operators for Lam´epolynomials of a given species and a fixed value of the square of the angular momentum raise and lower and lower and raise in complementary ways the quantum numbers n1 and n2 counting the respective nodal elliptical cones. The second set of operators consisting of the cartesian components L^x, L^y, L^z of the angular momentum connect pairs of the four species of poly- nomials of a chosen kind and angular momentum. The third set of operators, the cartesian componentsp ^x,p ^y,p ^z of the linear momentum, connect pairs of the polynomials differing in one unit in their angular momentum and in their parities. -
Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models
Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models Tao Yu Christopher De Sa Department of Computer Science Department of Computer Science Cornell University Cornell University Ithaca, NY, USA Ithaca, NY, USA [email protected] [email protected] Abstract Hyperbolic embeddings achieve excellent performance when embedding hierar- chical data structures like synonym or type hierarchies, but they can be limited by numerical error when ordinary floating-point numbers are used to represent points in hyperbolic space. Standard models such as the Poincaré disk and the Lorentz model have unbounded numerical error as points get far from the origin. To address this, we propose a new model which uses an integer-based tiling to represent any point in hyperbolic space with provably bounded numerical error. This allows us to learn high-precision embeddings without using BigFloats, and enables us to store the resulting embeddings with fewer bits. We evaluate our tiling-based model empirically, and show that it can both compress hyperbolic embeddings (down to 2% of a Poincaré embedding on WordNet Nouns) and learn more accurate embeddings on real-world datasets. 1 Introduction In the real world, valuable knowledge is encoded in datasets with hierarchical structure, such as the IBM Information Management System to describe the structure of documents, the large lexical database WordNet [14], various networks [8] and natural language sentences [24, 5]. It is challenging but necessary to embed these structured data for the use of modern machine learning methods. Recent work [11, 26, 27, 7] proposed using hyperbolic spaces to embed these structures and has achieved exciting results.