Constructions of Almost Periodic Sequences and Functions and Homogeneous Linear Difference and Differential Systems
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Almost Periodic Sequences and Functions with Given Values
ARCHIVUM MATHEMATICUM (BRNO) Tomus 47 (2011), 1–16 ALMOST PERIODIC SEQUENCES AND FUNCTIONS WITH GIVEN VALUES Michal Veselý Abstract. We present a method for constructing almost periodic sequences and functions with values in a metric space. Applying this method, we find almost periodic sequences and functions with prescribed values. Especially, for any totally bounded countable set X in a metric space, it is proved the existence of an almost periodic sequence {ψk}k∈Z such that {ψk; k ∈ Z} = X and ψk = ψk+lq(k), l ∈ Z for all k and some q(k) ∈ N which depends on k. 1. Introduction The aim of this paper is to construct almost periodic sequences and functions which attain values in a metric space. More precisely, our aim is to find almost periodic sequences and functions whose ranges contain or consist of arbitrarily given subsets of the metric space satisfying certain conditions. We are motivated by the paper [3] where a similar problem is investigated for real-valued sequences. In that paper, using an explicit construction, it is shown that, for any bounded countable set of real numbers, there exists an almost periodic sequence whose range is this set and which attains each value in this set periodically. We will extend this result to sequences attaining values in any metric space. Concerning almost periodic sequences with indices k ∈ N (or asymptotically almost periodic sequences), we refer to [4] where it is proved that, for any precompact sequence {xk}k∈N in a metric space X , there exists a permutation P of the set of positive integers such that the sequence {xP (k)}k∈N is almost periodic. -
Stepanov and Weyl Almost Periodic Functions on Locally Compact
STEPANOV AND WEYL ALMOST PERIODICITY IN LOCALLY COMPACT ABELIAN GROUPS TIMO SPINDELER Abstract. We study Stepanov and Weyl almost periodic functions on locally compact Abelian groups, which naturally appear in the theory of aperiodic order. 1. Introduction Almost periodic functions are natural generalisations of periodic functions, and they ap- pear in many different areas of mathematics. They are well studied objects on the real line because they are used in boundary value problems for differential equations [13]. A system- atic treatment of these functions can be found in [5]. Also, there is a well established theory for Bohr almost periodic functions and weakly almost periodic functions on locally compact Abelian groups [6, 8]. Bohr almost periodic functions turned out to be an important tool in harmonic analysis. Firstly, they are used to study finite-dimensional representations of locally compact Abelian groups [7, Ch. 16.2]. Secondly, they describe those autocorrelations which give rise to a pure point diffraction measure; more on that below. However, recent progress in the study of aperiodic order and dynamical systems [10, 11, 18] makes it clear that we also need to aim at a better understanding of Stepanov and Weyl almost periodic functions on locally compact Abelian groups. Let us be more precise. Meyer sets and cut and project sets are important tools in the study of aperiodic order, since they are used to model quasicrystals. If µ denotes a translation bounded measure (e.g. the Dirac comb of a Meyer set), then the diffraction measure γµ, which −1 is the Fourier transform of the autocorrelation γµ := limn An (µ A µ A ), indicates →∞ | | | n ∗ | n how (dis)ordered the system that µ models is [1]; note that (An)n∈N is a suitable averagingc sequence. -
Discrete Signals and Their Frequency Analysis
Discrete signals and their frequency analysis. Valentina Hubeika, Jan Cernock´yˇ DCGM FIT BUT Brno, {ihubeika,cernocky}@fit.vutbr.cz • recapitulation – fundamentals on discrete signals. • periodic and harmonic sequences • discrete signal processing • convolution • Fourier transform with discrete time • Discrete Fourier Transform 1 Sampled signal ⇒ discrete signal During sampling we consider only values of the signal at sampling period multiplies T : x(nT ), nT = ... − 2T, −T, 0,T, 2T, 3T,... For a discrete signal, we forget about real time and simply count the samples. Discrete time becomes : x[n], n = ... − 2, −1, 0, 1, 2, 3,... Thus we often call discrete signals just sequences. 2 Important discrete signals Unit step and unit impulse: 1 for n ≥ 0 1 for n =0 σ[n]= δ[n]= 0 elsewhere 0 elsewhere 3 Periodic discrete signals their behaviour repeats after N samples, the smallest possible N is denoted as N1 and is called fundamental period. Harmonic discrete signals (harmonic sequences) x[n]= C1 cos(ω1n + φ1) (1) • C1 is a positive constant – magnitude. • ω1 is a spositive constant – normalized angular frequency. As n is just a number, the unit of ω1 is [rad]. Note, that in the previous lecture we denoted with the same simbol an angular frequency of continuous signals. Although in the last lecture we used ′ symbol ω1 for discrete time, we will not do it any longer. You will recognize continuous time frequency if there is real time associated with it (for instance cos(ω1t)). If you see discrete time n (for instance cos(ω1n)) you should know we are talking about normalized angular frequency. -
Generalized Harmonic Analysis Represents the Culmination and Combination of a Number of Very Diverse Mathematical Movements
GEbIERALIZED HARMONIC ANALYSIS. 1 BY NORBERT WIENER of CAMBRIDGE, MASS., U. S. A. Page Introduction ............ ............... 118 Chapter I. Precursors of the present theory. 1. Plancherel's theorem 120 2. Schuster's periodogranf analysis 126 Chapter II. Spectra. 3. The spectrum of an arbitrary function Of a single variable .... 132 4. The total spectral intensity ................. 137 5. Tauberian theorems and spectral intensity . 141 6. Bochner's generalizations of harmonic analysis and their spectrum theories .......................... 153 7. The Hahn generalization of harmonic analysis .......... 164 Chapter III. Extensions of spectrum theory. 8. Harmonic analysis in more than one dimension ......... 172 9. Coherency matrices ..................... 182 10. Harmonic analysis and transformation groups .......... 195 Chapter IV. Examples of functions with spectra. tl. Examples of functions with continuous spectra ......... 201 12. Spectra depending on an infinite sequence of choices ...... 210 13. Spectra and integration in" function space 214 Chapter V. Almost periodic functions. 14. The spectrum of an almost periodic function .......... 234 15. The Parseval theorem for almost periodic functions 238 16. The Weierstrass theorem for almost periodic functions ...... 239 17. Certain generalizations of almost periodic functions ........ 242 1 18 Norbert Wiener. Introduction. Generalized harmonic analysis represents the culmination and combination of a number of very diverse mathematical movements. The theory of almost periodic functions -
Semi Periodic Maps on Complex Manifolds
Semi periodic maps on complex manifolds Ali Reza Khatoon Abadi Department of Mathematics, Islamic azad university,Tehran’s West branch,Tehran,IRAN H.R.Rezazadeh and F.Golgoii∗ Department of Mathematics,Islamic Azad university,KARAJ branch,Karaj,IRAN In this letter we proved this theorem: if F be a holomorphic mapping of TΩ to a mapping manifold X such that for every compact subset K ⊂ Ω the mapping F is uniformly continues on TK and F (TK ) m ′ is a relatively compact subset of X. If the restriction of F (z) to some hyperplane R + iy is semi periodic, then F (z) is an semi mapping of TΩ to X. PACS numbers: HISTORY In mathematics, an almost(semi) periodic function is, loosely speaking, a function of a real number that is periodic to within any desired level of accuracy, given suitably long, well-distributed ”almost-periods”. The concept was first studied by Harald Bohr and later generalized by Vyacheslav Stepanov, Hermann Weyl and Abram Samoilovitch Besicovitch, amongst others. There is also a notion of almost periodic functions on locally compact abelian groups, first studied by John von Neumann. Almost periodicity is a property of dynamical systems that appear to retrace their paths through phase space, but not exactly. An example would be a planetary system, with planets in orbits moving with periods that are not commensurable (i.e., with a period vector that is not proportional to a vector of integers). A theorem of Kronecker from diophantine approximation can be used to show that any particular configuration that occurs once, will recur to within any specified accuracy: if we wait long enough we can observe the planets all return to within a second of arc to the positions they once were in.There are several different inequivalent definitions of almost periodic functions. -
Finite Products Sets and Minimally Almost Periodic Groups
Journal of Functional Analysis 270 (2016) 2126–2167 Contents lists available at ScienceDirect Journal of Functional Analysis www.elsevier.com/locate/jfa Finite products sets and minimally almost periodic groups V. Bergelson a,1, J.C. Christopherson a, D. Robertson a,∗, P. Zorin-Kranich b,2 a Department of Mathematics, The Ohio State University, 231 West 18th Avenue, Columbus, OH 43210-1174, USA b Institute of Mathematics, Hebrew University, Givat Ram, Jerusalem, 91904, Israel a r t i c l e i n f o a b s t r a c t Article history: We characterize those locally compact, second countable, Received 25 May 2014 amenable groups in which a density version of Hindman’s Accepted 18 December 2015 theorem holds and those countable, amenable groups in Available online 12 January 2016 which a two-sided density version of Hindman’s theorem Communicated by P. Biane holds. In both cases the possible failure can be attributed MSC: to an abundance of finite-dimensional unitary representations, 37A15 which allows us to construct sets with large density that do not contain any shift of a set of measurable recurrence, let alone a Keywords: shift of a finite products set. The possible success is connected Correspondence principle to the ergodic–theoretic phenomenon of weak mixing via a Finite products set two-sided version of the Furstenberg correspondence principle. Weak mixing We also construct subsets with large density that are not piecewise syndetic in arbitrary non-compact amenable groups. For countably infinite amenable groups, the symbolic systems * Corresponding author. E-mail addresses: [email protected] (V. -
Arxiv:1904.09040V2 [Math.NT]
PERIODICITIES FOR TAYLOR COEFFICIENTS OF HALF-INTEGRAL WEIGHT MODULAR FORMS PAVEL GUERZHOY, MICHAEL H. MERTENS, AND LARRY ROLEN Abstract. Congruences of Fourier coefficients of modular forms have long been an object of central study. By comparison, the arithmetic of other expansions of modular forms, in particular Taylor expansions around points in the upper-half plane, has been much less studied. Recently, Romik made a conjecture about the periodicity of coefficients around τ0 = i of the classical Jacobi theta function θ3. Here, we generalize the phenomenon observed by Romik to a broader class of modular forms of half-integral weight and, in particular, prove the conjecture. 1. Introduction Fourier coefficients of modular forms are well-known to encode many interesting quantities, such as the number of points on elliptic curves over finite fields, partition numbers, divisor sums, and many more. Thanks to these connections, the arithmetic of modular form Fourier coefficients has long enjoyed a broad study, and remains a very active field today. However, Fourier expansions are just one sort of canonical expansion of modular forms. Petersson also defined [17] the so-called hyperbolic and elliptic expansions, which instead of being associated to a cusp of the modular curve, are associated to a pair of real quadratic numbers or a point in the upper half-plane, respectively. A beautiful exposition on these different expansions and some of their more recent connections can be found in [8]. In particular, there Imamoglu and O’Sullivan point out that Poincar´eseries with respect to hyperbolic expansions include the important examples of Katok [11] and Zagier [26], which are the functions which Kohnen later used [15] to construct the holomorphic kernel for the Shimura/Shintani lift. -
Construction of Almost Periodic Sequences with Given Properties
Electronic Journal of Differential Equations, Vol. 2008(2008), No. 126, pp. 1–22. ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu (login: ftp) CONSTRUCTION OF ALMOST PERIODIC SEQUENCES WITH GIVEN PROPERTIES MICHAL VESELY´ Abstract. We define almost periodic sequences with values in a pseudometric space X and we modify the Bochner definition of almost periodicity so that it remains equivalent with the Bohr definition. Then, we present one (easily modifiable) method for constructing almost periodic sequences in X . Using this method, we find almost periodic homogeneous linear difference systems that do not have any non-trivial almost periodic solution. We treat this problem in a general setting where we suppose that entries of matrices in linear systems belong to a ring with a unit. 1. Introduction First of all we mention the article [9] by Fan which considers almost periodic sequences of elements of a metric space and the article [22] by Tornehave about almost periodic functions of the real variable with values in a metric space. In these papers, it is shown that many theorems that are valid for complex valued sequences and functions are no longer true. For continuous functions, it was observed that the important property is the local connection by arcs of the space of values and also its completeness. However, we will not use their results or other theorems and we will define the notion of the almost periodicity of sequences in pseudometric spaces without any conditions, i.e., the definition is similar to the classical definition of Bohr, the modulus being replaced by the distance. -
Structure of Fourier Exponents of Almost Periodic Functions and Periodicity of Almost Periodic Functions
Mathematica Bohemica Alexandr Fischer Structure of Fourier exponents of almost periodic functions and periodicity of almost periodic functions Mathematica Bohemica, Vol. 121 (1996), No. 3, 249–262 Persistent URL: http://dml.cz/dmlcz/125993 Terms of use: © Institute of Mathematics AS CR, 1996 Institute of Mathematics of the Czech Academy of Sciences provides access to digitized documents strictly for personal use. Each copy of any part of this document must contain these Terms of use. This document has been digitized, optimized for electronic delivery and stamped with digital signature within the project DML-CZ: The Czech Digital Mathematics Library http://dml.cz 121 (1996) MATHEMATICA BOHEMICA No. 3, 249-262 STRUCTURE OF FOURIER EXPONENTS OF ALMOST PERIODIC FUNCTIONS AND PERIODICITY OF ALMOST PERIODIC FUNCTIONS ALEXANDR FISCHER, Praha (Received October 12, 1993) Summary. The paper deals with almost periodic functions which are limits of sequences of continuous periodic functions, and determines the structure of their Fourier exponents and their ranges. It is shown that the class CP(&) of continuous periodic functions is not densely distributed in the space AP(Sf). Keywords: almost periodicity (Bohr), Fourier coefficient, Fourier exponent, Bochner transformation AMS classification: 42A75 1. INTRODUCTION 1.1. Preliminaries. Oscillating motions enjoy a privileged position in many technical as well as theoretical domains. The central role is played here by peri odic motions represented by periodic functions. Unfortunately, the class of periodic functions is not linear since the sum of two periodic functions, which do not have a non-zero period in common, gives rise to a non-periodic function. This lack of linearity is circumvented by introducing almost periodic functions. -
Florentin Smarandache
FLORENTIN SMARANDACHE SEQUENCES OF NUMBERS INVOLVED IN UNSOLVED PROBLEMS 1 141 1 1 1 8 1 1 8 40 8 1 1 8 1 1 1 1 12 1 1 12 108 12 1 1 12 108 540 108 12 1 1 12 108 12 1 1 12 1 1 1 1 16 1 1 16 208 16 1 1 16 208 1872 208 16 1 1 16 208 1872 9360 1872 208 16 1 1 16 208 1872 208 16 1 1 16 208 16 1 1 16 1 1 2006 Introduction Over 300 sequences and many unsolved problems and conjectures related to them are presented herein. These notions, definitions, unsolved problems, questions, theorems corollaries, formulae, conjectures, examples, mathematical criteria, etc. ( on integer sequences, numbers, quotients, residues, exponents, sieves, pseudo-primes/squares/cubes/factorials, almost primes, mobile periodicals, functions, tables, prime/square/factorial bases, generalized factorials, generalized palindromes, etc. ) have been extracted from the Archives of American Mathematics (University of Texas at Austin) and Arizona State University (Tempe): "The Florentin Smarandache papers" special collections, University of Craiova Library, and Arhivele Statului (Filiala Vâlcea, Romania). It is based on the old article “Properties of Numbers” (1975), updated many times. Special thanks to C. Dumitrescu & V. Seleacu from the University of Craiova (see their edited book "Some Notions and Questions in Number Theory", Erhus Univ. Press, Glendale, 1994), M. Perez, J. Castillo, M. Bencze, L. Tutescu, E, Burton who helped in collecting and editing this material. The Author 1 Sequences of Numbers Involved in Unsolved Problems Here it is a long list of sequences, functions, unsolved problems, conjectures, theorems, relationships, operations, etc. -
Complexity of Periodic Sequences
Complexity of Periodic Sequences Wieb Bosma1 Radboud University Nijmegen, P.O. Box 9010, 6500 GL Nijmegen, the Netherlands, email: [email protected] Abstract. Periodic sequences form the easiest sub-class of k-automatic sequences. Two characterizations of k-automatic sequences lead to two different complexity measures: the sizes of the minimal automaton with output generating the sequence on input either the k-representations of numbers or their reverses. In this note we analyze this exactly. 1 Introduction 1 By definition, an infinite k-automatic sequence a = (an)n=0 = a0a1a2a3 ··· is the output of a deterministic finite automaton with output (DFAO) upon feeding the index n as input for an. In [2] two obvious complexity measure for such sequences are compared. The first, denoted kakk, is simply the size (that is, the R number of states) of the smallest DFAO that produces a; the second, kakk (the reversed size) is the size of the smallest DFAO that produces a when the input for n is the reverse of the k-ary representation of n. In general the two measures may differ, even exponentially, in size. In this note we attempt to analyze the exact values of both complexity measures for periodic sequences a. It turns out R 2 that in this case kakk = O(n) and kakk is O(n ); we will be more precise in the statement of the main theorems. R The main tool for the analysis is the basic result that kakk is essentially equal to the size of the k-kernel Kk(a); this kernel may be defined to be the smallest set of infinite sequences containing a as well as every pj(b) for any b 2 Kk(a) 1 and any j with 0 ≤ j < k, where pj(b) = (bj+n)n=0 = bjbj+nbj+2nbj+3n ··· . -
Linear Fـnctionals on Almost Periodic Functions
LINEAR FÜNCTIONALS ON ALMOST PERIODIC FUNCTIONS BY EDWIN HEWITT 0. Introduction 0.1 We consider in the present communication the space 21 consisting of all almost periodic continuous functions on the real line. For our purposes, it is convenient to describe 21 as the set of all uniform limits of trigonometric polynomials n 0.1.1 E ct^e''** (t, real, a, complex). Our aim is, first, to present two realizations of the space 21* of all bounded complex linear functional on 21, and, second, to use these realizations for the study of positive definite functions which are not necessarily continuous. In this fashion, we obtain a generalization of Bochner's representation theo- rem for continuous positive definite functions as well as various facts concern- ing positive definite functions and their structure. 0.2 Throughout the present paper, the symbol R denotes the real num- bers, considered either as an additive group or as a field; K the field of com- plex numbers; T the multiplicative group of complex numbers of absolute value 1 ; Tm the complete Cartesian product of m groups each identical with T, m being any cardinal number greater than 1. The characteristic function of a subset B of a set X is denoted by \b- If G is any locally compact Abelian group, we denote the group of all continuous characters of G by the symbol G]. G] is given the usual compact-open topology. If X is any topological space, we denote the set of all complex-valued continuous functions on X which are bounded in absolute value by the symbol &(X).