Balance Principles
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On the Walsh Functions(*)
ON THE WALSH FUNCTIONS(*) BY N. J. FINE Table of Contents 1. Introduction. 372 2. The dyadic group. 376 3. Expansions of certain functions. 380 4. Fourier coefficients. 382 5. Lebesgue constants. 385 6. Convergence. 391 7. Summability. 395 8. On certain sums. 399 9. Uniqueness and localization. 402 1. Introduction. The system of orthogonal functions introduced by Rade- macher [6](2) has been the subject of a great deal of study. This system is not a complete one. Its completion was effected by Walsh [7], who studied some of its Fourier properties, such as convergence, summability, and so on. Others, notably Kaczmarz [3], Steinhaus [4], Paley [S], have studied various aspects of the Walsh system. Walsh has pointed out the great similarity be- tween this system and the trigonometric system. It is convenient, in defining the functions of the Walsh system, to follow Paley's modification. The Rademacher functions are defined by *»(*) = 1 (0 g x < 1/2), *»{«) = - 1 (1/2 á * < 1), <¡>o(%+ 1) = *o(«), *»(*) = 0o(2"x) (w = 1, 2, • • ■ ). The Walsh functions are then given by (1-2) to(x) = 1, Tpn(x) = <t>ni(x)<t>ni(x) ■ ■ ■ 4>nr(x) for » = 2"1 + 2n2+ • • • +2"r, where the integers »¿ are uniquely determined by «i+i<«¿. Walsh proves that {^„(x)} form a complete orthonormal set. Every periodic function f(x) which is integrable in the sense of Lebesgue on (0, 1) will have associated with it a (Walsh-) Fourier series (1.3) /(*) ~ Co+ ciipi(x) + crf/iix) + • • • , where the coefficients are given by Presented to the Society, August 23, 1946; received by the editors February 13, 1948. -
Mathematical Analysis, Second Edition
PREFACE A glance at the table of contents will reveal that this textbooktreats topics in analysis at the "Advanced Calculus" level. The aim has beento provide a develop- ment of the subject which is honest, rigorous, up to date, and, at thesame time, not too pedantic.The book provides a transition from elementary calculusto advanced courses in real and complex function theory, and it introducesthe reader to some of the abstract thinking that pervades modern analysis. The second edition differs from the first inmany respects. Point set topology is developed in the setting of general metricspaces as well as in Euclidean n-space, and two new chapters have been addedon Lebesgue integration. The material on line integrals, vector analysis, and surface integrals has beendeleted. The order of some chapters has been rearranged, many sections have been completely rewritten, and several new exercises have been added. The development of Lebesgue integration follows the Riesz-Nagyapproach which focuses directly on functions and their integrals and doesnot depend on measure theory.The treatment here is simplified, spread out, and somewhat rearranged for presentation at the undergraduate level. The first edition has been used in mathematicscourses at a variety of levels, from first-year undergraduate to first-year graduate, bothas a text and as supple- mentary reference.The second edition preserves this flexibility.For example, Chapters 1 through 5, 12, and 13 providea course in differential calculus of func- tions of one or more variables. Chapters 6 through 11, 14, and15 provide a course in integration theory. Many other combinationsare possible; individual instructors can choose topics to suit their needs by consulting the diagram on the nextpage, which displays the logical interdependence of the chapters. -
New Trends in Differential and Difference Equations and Applications
axioms New Trends in Differential and Difference Equations and Applications Edited by Feliz Manuel Minhós and João Fialho Printed Edition of the Special Issue Published in Axioms www.mdpi.com/journal/axioms New Trends in Differential and Difference Equations and Applications New Trends in Differential and Difference Equations and Applications Special Issue Editors Feliz Manuel Minh´os Jo˜ao Fialho MDPI • Basel • Beijing • Wuhan • Barcelona • Belgrade Special Issue Editors Feliz Manuel Minhos´ Joao˜ Fialho University of Evora´ British University Vietnam Portugal Vietnam Editorial Office MDPI St. Alban-Anlage 66 4052 Basel, Switzerland This is a reprint of articles from the Special Issue published online in the open access journal Axioms (ISSN 2075-1680) from 2018 to 2019 (available at: https://www.mdpi.com/journal/axioms/special issues/differential difference equations). For citation purposes, cite each article independently as indicated on the article page online and as indicated below: LastName, A.A.; LastName, B.B.; LastName, C.C. Article Title. Journal Name Year, Article Number, Page Range. ISBN 978-3-03921-538-6 (Pbk) ISBN 978-3-03921-539-3 (PDF) c 2019 by the authors. Articles in this book are Open Access and distributed under the Creative Commons Attribution (CC BY) license, which allows users to download, copy and build upon published articles, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. The book as a whole is distributed by MDPI under the terms and conditions of the Creative Commons license CC BY-NC-ND. Contents About the Special Issue Editors .................................... -
Chapter 1 Fourier Series
Chapter 1 Fourier Series Jean Baptiste Joseph Fourier (1768-1830) was a French mathematician, physi- cist and engineer, and the founder of Fourier analysis. In 1822 he made the claim, seemingly preposterous at the time, that any function of t, continuous or discontinuous, could be represented as a linear combination of functions sin nt. This was a dramatic distinction from Taylor series. While not strictly true in fact, this claim was true in spirit and it led to the modern theory of Fourier analysis with wide applications to science and engineering. 1.1 Definitions, Real and complex Fourier se- ries p int We have observed that the functions en(t) = e = 2π, n = 0; ±1; ±2; ··· form an ON set in the Hilbert space L2[0; 2π] of square-integrable functions on the interval [0; 2π]. In fact we shall show that these functions form an ON basis. Here the inner product is Z 2π (u; v) = u(t)v(t) dt; u; v 2 L2[0; 2π]: 0 We will study this ON set and the completeness and convergence of expan- sions in the basis, both pointwise and in the norm. Before we get started, it is convenient to assume that L2[0; 2π] consists of square-integrable functions on the unit circle, rather than on an interval of the real line. Thus we will replace every function f(t) on the interval [0; 2π] by a function f ∗(t) such that f ∗(0) = f ∗(2π) and f ∗(t) = f(t) for 0 ≤ t < 2π. Then we will extend 1 f ∗ to all −∞ < t < 1 by requiring periodicity: f ∗(t + 2π) = f ∗(t). -
Localizing the Eigenvalues of Matrix-Valued Functions: Analysis and Applications
LOCALIZING THE EIGENVALUES OF MATRIX-VALUED FUNCTIONS: ANALYSIS AND APPLICATIONS A Dissertation Presented to the Faculty of the Graduate School of Cornell University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy by Amanda Hood January 2017 c 2017 Amanda Hood ALL RIGHTS RESERVED LOCALIZING THE EIGENVALUES OF MATRIX-VALUED FUNCTIONS: ANALYSIS AND APPLICATIONS Amanda Hood, Ph.D. Cornell University 2017 The standard eigenvalue problem of finding the zeros of det(zI−A) is ubiquitous, and comes from studying solutions to x0 = Ax as well as myriad other sources. Similarly, if x0(t) = Ax(t) + Bx(t − 1) is some delay-differential equation (arising, say, from modeling the spread of a disease, or from population growth models), then stability is determined by computing the roots of det(zI − A − Be−z). Models of physical processes where energy slowly leaks away to infinity lead to similar problems. These physical systems are typically modeled in terms of differential equations which are then discretized using e.g. collocation or finite elements. For example, such a discretization gives a correspondence between the quantum scattering resonances associated to a quantum corral and the zeros of det(A−zB+ C(z)), where A; B; C(z) 2 Cn×n and the highly nonlinear entries of C(z) involve square roots and ratios of Bessel functions. In each case, we are led to so-called nonlinear eigenvalue problems of the form T(λ)v = 0, v , 0, where T : Ω ⊂ C ! Cn×n is a matrix-valued function, and λ is called an eigenvalue of T.