Structure of Isometry Group of Bilinear Spaces ୋ
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Graph Equivalence Classes for Spectral Projector-Based Graph Fourier Transforms Joya A
1 Graph Equivalence Classes for Spectral Projector-Based Graph Fourier Transforms Joya A. Deri, Member, IEEE, and José M. F. Moura, Fellow, IEEE Abstract—We define and discuss the utility of two equiv- Consider a graph G = G(A) with adjacency matrix alence graph classes over which a spectral projector-based A 2 CN×N with k ≤ N distinct eigenvalues and Jordan graph Fourier transform is equivalent: isomorphic equiv- decomposition A = VJV −1. The associated Jordan alence classes and Jordan equivalence classes. Isomorphic equivalence classes show that the transform is equivalent subspaces of A are Jij, i = 1; : : : k, j = 1; : : : ; gi, up to a permutation on the node labels. Jordan equivalence where gi is the geometric multiplicity of eigenvalue 휆i, classes permit identical transforms over graphs of noniden- or the dimension of the kernel of A − 휆iI. The signal tical topologies and allow a basis-invariant characterization space S can be uniquely decomposed by the Jordan of total variation orderings of the spectral components. subspaces (see [13], [14] and Section II). For a graph Methods to exploit these classes to reduce computation time of the transform as well as limitations are discussed. signal s 2 S, the graph Fourier transform (GFT) of [12] is defined as Index Terms—Jordan decomposition, generalized k gi eigenspaces, directed graphs, graph equivalence classes, M M graph isomorphism, signal processing on graphs, networks F : S! Jij i=1 j=1 s ! (s ;:::; s ;:::; s ;:::; s ) ; (1) b11 b1g1 bk1 bkgk I. INTRODUCTION where sij is the (oblique) projection of s onto the Jordan subspace Jij parallel to SnJij. -
[Math.GT] 9 Oct 2020 Symmetries of Hyperbolic 4-Manifolds
Symmetries of hyperbolic 4-manifolds Alexander Kolpakov & Leone Slavich R´esum´e Pour chaque groupe G fini, nous construisons des premiers exemples explicites de 4- vari´et´es non-compactes compl`etes arithm´etiques hyperboliques M, `avolume fini, telles M G + M G que Isom ∼= , ou Isom ∼= . Pour y parvenir, nous utilisons essentiellement la g´eom´etrie de poly`edres de Coxeter dans l’espace hyperbolique en dimension quatre, et aussi la combinatoire de complexes simpliciaux. C¸a nous permet d’obtenir une borne sup´erieure universelle pour le volume minimal d’une 4-vari´et´ehyperbolique ayant le groupe G comme son groupe d’isom´etries, par rap- port de l’ordre du groupe. Nous obtenons aussi des bornes asymptotiques pour le taux de croissance, par rapport du volume, du nombre de 4-vari´et´es hyperboliques ayant G comme le groupe d’isom´etries. Abstract In this paper, for each finite group G, we construct the first explicit examples of non- M M compact complete finite-volume arithmetic hyperbolic 4-manifolds such that Isom ∼= G + M G , or Isom ∼= . In order to do so, we use essentially the geometry of Coxeter polytopes in the hyperbolic 4-space, on one hand, and the combinatorics of simplicial complexes, on the other. This allows us to obtain a universal upper bound on the minimal volume of a hyperbolic 4-manifold realising a given finite group G as its isometry group in terms of the order of the group. We also obtain asymptotic bounds for the growth rate, with respect to volume, of the number of hyperbolic 4-manifolds having a finite group G as their isometry group. -
Polynomial Sequences Generated by Linear Recurrences
Innocent Ndikubwayo Polynomial Sequences Generated by Linear Recurrences: Location and Reality of Zeros Polynomial Sequences Generated by Linear Recurrences: Location and Reality of Zeros Linear Recurrences: Location by Sequences Generated Polynomial Innocent Ndikubwayo ISBN 978-91-7911-462-6 Department of Mathematics Doctoral Thesis in Mathematics at Stockholm University, Sweden 2021 Polynomial Sequences Generated by Linear Recurrences: Location and Reality of Zeros Innocent Ndikubwayo Academic dissertation for the Degree of Doctor of Philosophy in Mathematics at Stockholm University to be publicly defended on Friday 14 May 2021 at 15.00 in sal 14 (Gradängsalen), hus 5, Kräftriket, Roslagsvägen 101 and online via Zoom, public link is available at the department website. Abstract In this thesis, we study the problem of location of the zeros of individual polynomials in sequences of polynomials generated by linear recurrence relations. In paper I, we establish the necessary and sufficient conditions that guarantee hyperbolicity of all the polynomials generated by a three-term recurrence of length 2, whose coefficients are arbitrary real polynomials. These zeros are dense on the real intervals of an explicitly defined real semialgebraic curve. Paper II extends Paper I to three-term recurrences of length greater than 2. We prove that there always exist non- hyperbolic polynomial(s) in the generated sequence. We further show that with at most finitely many known exceptions, all the zeros of all the polynomials generated by the recurrence lie and are dense on an explicitly defined real semialgebraic curve which consists of real intervals and non-real segments. The boundary points of this curve form a subset of zero locus of the discriminant of the characteristic polynomial of the recurrence. -
Explicit Inverse of a Tridiagonal (P, R)–Toeplitz Matrix
Explicit inverse of a tridiagonal (p; r){Toeplitz matrix A.M. Encinas, M.J. Jim´enez Departament de Matemtiques Universitat Politcnica de Catalunya Abstract Tridiagonal matrices appears in many contexts in pure and applied mathematics, so the study of the inverse of these matrices becomes of specific interest. In recent years the invertibility of nonsingular tridiagonal matrices has been quite investigated in different fields, not only from the theoretical point of view (either in the framework of linear algebra or in the ambit of numerical analysis), but also due to applications, for instance in the study of sound propagation problems or certain quantum oscillators. However, explicit inverses are known only in a few cases, in particular when the tridiagonal matrix has constant diagonals or the coefficients of these diagonals are subjected to some restrictions like the tridiagonal p{Toeplitz matrices [7], such that their three diagonals are formed by p{periodic sequences. The recent formulae for the inversion of tridiagonal p{Toeplitz matrices are based, more o less directly, on the solution of second order linear difference equations, although most of them use a cumbersome formulation, that in fact don not take into account the periodicity of the coefficients. This contribution presents the explicit inverse of a tridiagonal matrix (p; r){Toeplitz, which diagonal coefficients are in a more general class of sequences than periodic ones, that we have called quasi{periodic sequences. A tridiagonal matrix A = (aij) of order n + 2 is called (p; r){Toeplitz if there exists m 2 N0 such that n + 2 = mp and ai+p;j+p = raij; i; j = 0;:::; (m − 1)p: Equivalently, A is a (p; r){Toeplitz matrix iff k ai+kp;j+kp = r aij; i; j = 0; : : : ; p; k = 0; : : : ; m − 1: We have developed a technique that reduces any linear second order difference equation with periodic or quasi-periodic coefficients to a difference equation of the same kind but with constant coefficients [3]. -
Toeplitz and Toeplitz-Block-Toeplitz Matrices and Their Correlation with Syzygies of Polynomials
TOEPLITZ AND TOEPLITZ-BLOCK-TOEPLITZ MATRICES AND THEIR CORRELATION WITH SYZYGIES OF POLYNOMIALS HOUSSAM KHALIL∗, BERNARD MOURRAIN† , AND MICHELLE SCHATZMAN‡ Abstract. In this paper, we re-investigate the resolution of Toeplitz systems T u = g, from a new point of view, by correlating the solution of such problems with syzygies of polynomials or moving lines. We show an explicit connection between the generators of a Toeplitz matrix and the generators of the corresponding module of syzygies. We show that this module is generated by two elements of degree n and the solution of T u = g can be reinterpreted as the remainder of an explicit vector depending on g, by these two generators. This approach extends naturally to multivariate problems and we describe for Toeplitz-block-Toeplitz matrices, the structure of the corresponding generators. Key words. Toeplitz matrix, rational interpolation, syzygie 1. Introduction. Structured matrices appear in various domains, such as scientific computing, signal processing, . They usually express, in a linearize way, a problem which depends on less pa- rameters than the number of entries of the corresponding matrix. An important area of research is devoted to the development of methods for the treatment of such matrices, which depend on the actual parameters involved in these matrices. Among well-known structured matrices, Toeplitz and Hankel structures have been intensively studied [5, 6]. Nearly optimal algorithms are known for the multiplication or the resolution of linear systems, for such structure. Namely, if A is a Toeplitz matrix of size n, multiplying it by a vector or solving a linear system with A requires O˜(n) arithmetic operations (where O˜(n) = O(n logc(n)) for some c > 0) [2, 12]. -
A Note on Multilevel Toeplitz Matrices
Spec. Matrices 2019; 7:114–126 Research Article Open Access Lei Cao and Selcuk Koyuncu* A note on multilevel Toeplitz matrices https://doi.org/110.1515/spma-2019-0011 Received August 7, 2019; accepted September 12, 2019 Abstract: Chien, Liu, Nakazato and Tam proved that all n × n classical Toeplitz matrices (one-level Toeplitz matrices) are unitarily similar to complex symmetric matrices via two types of unitary matrices and the type of the unitary matrices only depends on the parity of n. In this paper we extend their result to multilevel Toeplitz matrices that any multilevel Toeplitz matrix is unitarily similar to a complex symmetric matrix. We provide a method to construct the unitary matrices that uniformly turn any multilevel Toeplitz matrix to a complex symmetric matrix by taking tensor products of these two types of unitary matrices for one-level Toeplitz matrices according to the parity of each level of the multilevel Toeplitz matrices. In addition, we introduce a class of complex symmetric matrices that are unitarily similar to some p-level Toeplitz matrices. Keywords: Multilevel Toeplitz matrix; Unitary similarity; Complex symmetric matrices 1 Introduction Although every complex square matrix is similar to a complex symmetric matrix (see Theorem 4.4.24, [5]), it is known that not every n × n matrix is unitarily similar to a complex symmetric matrix when n ≥ 3 (See [4]). Some characterizations of matrices unitarily equivalent to a complex symmetric matrix (UECSM) were given by [1] and [3]. Very recently, a constructive proof that every Toeplitz matrix is unitarily similar to a complex symmetric matrix was given in [2] in which the unitary matrices turning all n × n Toeplitz matrices to complex symmetric matrices was given explicitly. -
Totally Positive Toeplitz Matrices and Quantum Cohomology of Partial Flag Varieties
JOURNAL OF THE AMERICAN MATHEMATICAL SOCIETY Volume 16, Number 2, Pages 363{392 S 0894-0347(02)00412-5 Article electronically published on November 29, 2002 TOTALLY POSITIVE TOEPLITZ MATRICES AND QUANTUM COHOMOLOGY OF PARTIAL FLAG VARIETIES KONSTANZE RIETSCH 1. Introduction A matrix is called totally nonnegative if all of its minors are nonnegative. Totally nonnegative infinite Toeplitz matrices were studied first in the 1950's. They are characterized in the following theorem conjectured by Schoenberg and proved by Edrei. Theorem 1.1 ([10]). The Toeplitz matrix ∞×1 1 a1 1 0 1 a2 a1 1 B . .. C B . a2 a1 . C B C A = B .. .. .. C B ad . C B C B .. .. C Bad+1 . a1 1 C B C B . C B . .. .. a a .. C B 2 1 C B . C B .. .. .. .. ..C B C is totally nonnegative@ precisely if its generating function is of theA form, 2 (1 + βit) 1+a1t + a2t + =exp(tα) ; ··· (1 γit) i Y2N − where α R 0 and β1 β2 0,γ1 γ2 0 with βi + γi < . 2 ≥ ≥ ≥···≥ ≥ ≥···≥ 1 This beautiful result has been reproved many times; see [32]P for anP overview. It may be thought of as giving a parameterization of the totally nonnegative Toeplitz matrices by ~ N N ~ (α;(βi)i; (~γi)i) R 0 R 0 R 0 i(βi +~γi) < ; f 2 ≥ × ≥ × ≥ j 1g i X2N where β~i = βi βi+1 andγ ~i = γi γi+1. − − Received by the editors December 10, 2001 and, in revised form, September 14, 2002. 2000 Mathematics Subject Classification. Primary 20G20, 15A48, 14N35, 14N15. -
A Note on Inversion of Toeplitz Matrices$
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Applied Mathematics Letters 20 (2007) 1189–1193 www.elsevier.com/locate/aml A note on inversion of Toeplitz matrices$ Xiao-Guang Lv, Ting-Zhu Huang∗ School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610054, PR China Received 18 October 2006; accepted 30 October 2006 Abstract It is shown that the invertibility of a Toeplitz matrix can be determined through the solvability of two standard equations. The inverse matrix can be denoted as a sum of products of circulant matrices and upper triangular Toeplitz matrices. The stability of the inversion formula for a Toeplitz matrix is also considered. c 2007 Elsevier Ltd. All rights reserved. Keywords: Toeplitz matrix; Circulant matrix; Inversion; Algorithm 1. Introduction Let T be an n-by-n Toeplitz matrix: a0 a−1 a−2 ··· a1−n ··· a1 a0 a−1 a2−n ··· T = a2 a1 a0 a3−n , . . .. an−1 an−2 an−3 ··· a0 where a−(n−1),..., an−1 are complex numbers. We use the shorthand n T = (ap−q )p,q=1 for a Toeplitz matrix. The inversion of a Toeplitz matrix is usually not a Toeplitz matrix. A very important step is to answer the question of how to reconstruct the inversion of a Toeplitz matrix by a low number of its columns and the entries of the original Toeplitz matrix. It was first observed by Trench [1] and rediscovered by Gohberg and Semencul [2] that T −1 can be reconstructed from its first and last columns provided that the first component of the first column does not vanish. -
Sufficient Conditions for Periodicity of a Killing Vector Field Walter C
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 38, Number 3, May 1973 SUFFICIENT CONDITIONS FOR PERIODICITY OF A KILLING VECTOR FIELD WALTER C. LYNGE Abstract. Let X be a complete Killing vector field on an n- dimensional connected Riemannian manifold. Our main purpose is to show that if X has as few as n closed orbits which are located properly with respect to each other, then X must have periodic flow. Together with a known result, this implies that periodicity of the flow characterizes those complete vector fields having all orbits closed which can be Killing with respect to some Riemannian metric on a connected manifold M. We give a generalization of this characterization which applies to arbitrary complete vector fields on M. Theorem. Let X be a complete Killing vector field on a connected, n- dimensional Riemannian manifold M. Assume there are n distinct points p, Pit' " >Pn-i m M such that the respective orbits y, ylt • • • , yn_x of X through them are closed and y is nontrivial. Suppose further that each pt is joined to p by a unique minimizing geodesic and d(p,p¡) = r¡i<.D¡2, where d denotes distance on M and D is the diameter of y as a subset of M. Let_wx, • ■ ■ , wn_j be the unit vectors in TVM such that exp r¡iwi=pi, i=l, • ■ • , n— 1. Assume that the vectors Xv, wx, ■• • , wn_x span T^M. Then the flow cptof X is periodic. Proof. Fix /' in {1, 2, •••,«— 1}. We first show that the orbit yt does not lie entirely in the sphere Sj,(r¡¿) of radius r¡i about p. -
TOEPLITZ MATRIX APPROXIMATION by Suliman Al-Homidan
TOEPLITZ MATRIX APPROXIMATION by Suliman Al-Homidan Department of Mathematics, King Fahd University of Petroleum and Minerals, Dhahran 31261, PO Box 119, Saudi Arabia 1 1. Matrix nearness problems 2. Hybrid Methods for Finding the Nearest Euclidean Distance Matrix 3. Educational Testing Problem 4. Hybrid Methods for Minimizing Least Distance Functions with Semi-Definite Matrix Constraints 5. The Problem 6. l1Sequential Quadratic Programming Method 2 1 Matrix nearness problems Given a matrix F ∈ IRn×n then consider the problem minimize kF − Dk (kF − Dk ≤ |F |) D Such that D has property P P can be any one or mixture of: * Symmetry * Skew-Symmetry * Poitive semi-definiteness * Orthogonality, Unitary * Normality * Rank-deficiency, Singularity 3 * D in a linesr space * D with some fixed columns, rows, subma- trix * Instability * D with a given λ, repeated λ * D is Euclidean Distance Matrix * D is Toeplitz or Hankel 4 2 Hybrid Methods for Finding the Nearest Euclidean Distance Matrix Definition A matrix D ∈ IRn×n is called a Euclidean dis- tance matrix iff there exist n points x1,..., xn in an affine subspace of dimension IRm (m ≤ n − 1) such that 2 dij = kxi − xjk2 ∀i, j. (1) The Euclidean distance problem can now be stated as follows. Given a matrix F ∈ IRn×n, find the Euclidean distance matrix D ∈ IRn×n that minimizes kF − DkF (2) where k.kF denotes the Frobenius norm. see Al-Homidan and Fletcher [1] 5 3 Educational Testing Problem The educational testing problem. can be ex- pressed as maximize eT θ θ ∈ IRn subject to F − diag θ ≥ 0 θi ≥ 0 i = 1, ..., n (3) where e = (1, 1, ..., 1)T . -
UCLA Electronic Theses and Dissertations
UCLA UCLA Electronic Theses and Dissertations Title Shapes of Finite Groups through Covering Properties and Cayley Graphs Permalink https://escholarship.org/uc/item/09b4347b Author Yang, Yilong Publication Date 2017 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA Los Angeles Shapes of Finite Groups through Covering Properties and Cayley Graphs A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Mathematics by Yilong Yang 2017 c Copyright by Yilong Yang 2017 ABSTRACT OF THE DISSERTATION Shapes of Finite Groups through Covering Properties and Cayley Graphs by Yilong Yang Doctor of Philosophy in Mathematics University of California, Los Angeles, 2017 Professor Terence Chi-Shen Tao, Chair This thesis is concerned with some asymptotic and geometric properties of finite groups. We shall present two major works with some applications. We present the first major work in Chapter 3 and its application in Chapter 4. We shall explore the how the expansions of many conjugacy classes is related to the representations of a group, and then focus on using this to characterize quasirandom groups. Then in Chapter 4 we shall apply these results in ultraproducts of certain quasirandom groups and in the Bohr compactification of topological groups. This work is published in the Journal of Group Theory [Yan16]. We present the second major work in Chapter 5 and 6. We shall use tools from number theory, combinatorics and geometry over finite fields to obtain an improved diameter bounds of finite simple groups. We also record the implications on spectral gap and mixing time on the Cayley graphs of these groups. -
Pfaffians of Toeplitz Payoff Matrices
Pfaffians of Toeplitz payoff matrices Ron Evans Department of Mathematics University of California at San Diego La Jolla, CA 92093-0112 [email protected] Nolan Wallach Department of Mathematics University of California at San Diego La Jolla, CA 92093-0112 [email protected] April 19, 2019 2010 Mathematics Subject Classification. 15A15, 15B05, 15B57, 91A05 Key words and phrases. Toeplitz skew-symmetric matrix, Pfaffian, nullity, matrix game, payoff matrix. Abstract The purpose of this paper is to evaluate the Pfaffians of certain Toeplitz payoff matrices associated with integer choice matrix games. 1 1 Introduction For w 2 R, let M(n; k; w) denote the n × n skew-symmetric Toeplitz matrix whose k superdiagonals in the upper right corner have all entries −w, and whose remaining n − k − 1 superdiagonals have all entries 1. For example, M(6; 3; w) is the matrix 2 0 1 1 −w −w −w 3 6 −1 0 1 1 −w −w 7 6 7 6 −1 −1 0 1 1 −w 7 6 7 : 6 w −1 −1 0 1 1 7 6 7 4 w w −1 −1 0 1 5 w w w −1 −1 0 In earlier work [4], the Pfaffians of (scalar multiples of) M(2n; 2n − 2; w) were evaluated. Our main result (Theorem 2.4) evaluates the Pfaffians of the matrices M(2n; m; w) for all n ≥ 1 with n ≥ m ≥ 0. Up to sign, these Pfaffians turn out to be the polynomials Fm(w) defined in (2.1). We remark that Fm(w) is the difference of two Chebyshev polynomials of the second kind, namely Fm(w) = Um((w + 1)=2) − Um−1((w + 1)=2): A connection between Chebyshev polynomials of the second kind and Pfaf- fians of some skew-symmetric Toeplitz band matrices may be found in [2].