On the function Tr exp(a + itb) 1
|
|
- Madeline Bridges
- 7 years ago
- Views:
Transcription
1 On the function Tr exp(a + itb) Mark Fannes and Denes Petz Instituut voor Theoretische Fysika K.U. Leuven, B-300 Leuven, Belgium Department for Mathematical Analysis Budapest University of Technology and Economics H-5 Budapest XI., Hungary Abstract We prove, for two free semicircularly distributed selfadjoint elements a and b in a type II von Neumann algebra with faithful trace, that the function t R 7! (exp(a + itb)) is positive denite. This shows that the Bessis- Moussa-Vilani conjecture holds for large random matrices in an asymptotic sense. Keywords and phrases: Bessis-Moussa-Vilani conjecture, Gaussian random matrix, Brown measure, positive denite function, semicircular element. 000 Mathematics Subject Classication: 5A5, 5A6, 46L54 Introduction Let H and K be selfadjoint n n matrices. It is a widely known conjecture [, 4, 8] that the function t 7! Tr e H+itK () is positive denite on R. This means that for every t ; t ; : : : ; t k R the k k matrix Tr e H+i(t u t v)k k u;v= is positive semidenite or, equivalently, that there exists a measure on R such that Tr e H+itK = e itx d(x) (t R): Published as Int. J. Math. and Math. Sci. 9(00), 389{394.
2 The function () and especially its derivatives at t = 0 dene important quantities in quantum statistical mechanics. Proving positive deniteness would lead to interesting relations among them. There have been several attempts to prove this conjecture but proofs have only been obtained under additional assumptions on H and K. A summary of such results has been collected in [3]. Several strenghtenings of the conjecture are known to fail. For example, in the light of the Lie-Trotter formula, it would be sucient to show that Tr e H=m e i(tu tv)k=m k u;v= is positive semidenite. However, this is denitely not true if n; m; k 3, see [5]. The aim of this paper is to show that the conjecture holds asymptotically for random choices of high dimensional matrices. More precisely, when the conjecture is true, then for any choice of selfadjoint n n random matrices H n and K n the function t 7! n E(Tr ehn+itkn ) () is positive denite. When H n and K n have independent Gaussian entries and their distribution is invariant under unitary conjugation, they constitute a so-called random matrix model for semicircular selfadjoint operators a and b in a type II von Neumann algebra with faithful normal tracial state. If H n and K n are independent, then Voiculescu's asymptotic freeness result about Gaussian random matrices [9] tells us that a and b are in free relation. According to asymptotic freeness () converges to t 7! (e a+itb ) (3) for every t R. Hence the conjecture implies that also the function (3) is positive denite. The goal of the present note is to prove this consequence of the conjecture. For the part of free probability theory relevant to this computation we refer to [6], however a very brief account is given below. A selfadjoint operator a is standard semicircularly distributed if (a n ) = x np 4 x dx (n N); that is, if it has the same moments as the semicircular measure. For our purpose, the free relation of two standard semicircularly distributed operators
3 a and b can be understood as a very particular rule to compute of any polynomial of a and b from the moments of a and b. However, there is a more ecient way in the setting of type II von Neumann algebras. When x is an arbitrary element in a type II von Neumann algebra with faithful normal trace, then there exists a unique probability measure x, the Brown measure [] of x, such that (g(x)) = C g(z) d x (z) (4) for any function g on C that is analytic in a domain containing the spectrum of x. (The Brown measure extends the concept of spectral multiplicity of matrices.) The fact we really use is that, under the assumption of freeness, a + itb is the so-called elliptic noncommutative distribution whose Brown measure is the two dimensional Lebesgue measure restricted to an elliptic region of the complex plane ([7], Thm. 4.9). Result We are going to prove the following Theorem. Let a and b be standard semicircular distributed selfadjoint operators in a von Neumann algebra with faithful normal trace. If a and b are in free relation with respect to, then t 7! (exp(a + itb)) is a positive denite function. Let S and S be two free semicircularly distributed selfadjoint elements with means 0 and variances > 0 and > 0. We compute (exp(s + is )) using the Brown measure. The Brown measure of S + is is the two dimensional Lebesgue measure restricted to the interior of the ellipse with axes = p + and = p +, see [7]. Normalised, it reads (dxdy) = 4 + dxdy : The expectation I(; ) := (exp(s + is )) 3
4 can now be computed using (4). I(; ) = ( + ) 4 = = x +y 0 rdr x (+) 4 dxdy exp 0 dxdy exp(x + iy) + y (+) 4 p x + + p i y + r d' exp p cos ' + p ir sin ' + + : Next, we use for natural numbers n and n 0 d' cos ' n sin ' n = (n )! (n )! n! n! (n + n )! (n +n ) : (5) Using the series expansion of the exponential and formula (5), we obtain I(; ) = X n=0 n! (n + )! ( )n : All other combinations of natural powers of cos and sin give 0 contributions. Therefore, f(t) := (exp(s + is t )) = X n=0 n! (n + )! ( t ) n : Expanding ( t ) n and reordering the terms in the series f(t) = X ( t ) k k! X j=0 j! (j + k + )! : We now use the series for the modied Bessel functions I I (z) = X m=0 m! ( + m)! z +m to get f(t) = X ( t ) k I k+ () : k! 4
5 Using the standard integral representation I k+ (x) = (k + 3=) p x for the modied Bessel functions, we nd X f(t) = p ( t ) k k! (k + 3=) k+ ds e xs ( s ) k+= ds e s ( s ) k+= : Dropping all irrelevant constants, we have to show that t 7! ds e s ( s ) = X ( s )t k (k + )! is positive denite, > 0. This function is however just a positive superposition of functions of the type with (s) 0. As sin(t) t t 7! sin((s)t) t = du e iut ; we see that the functions in (6) are positive denite. We have actually computed the Fourier transform of the function (3). A straightforward computation yields (e a+itb ) = e iut sinh( p 4 u ) du : Clearly the Fourier transform of (e a+itb ) has a compact support which coincides exactly with the (convex hull of the ) spectrum of b. Acknowledgement. This work was partly carried out during the meeting "Probability and Operator Algebras with Applications in Mathematical Physics", God, Hungary, 3 August{6 September 000 organised by the Paul Erd}os Summer Research Center of Mathematics. (6) References [] L.G. Brown, Lidski's theorem in the type II case, in Geometric methods in operator algebras (Kyoto 983), Longman Sci. Tech., Harlow, 986, {35 5
6 [] D. Bessis, P. Moussa, and M. Villani, Monotonic converging variational approximations to the functional integrals in quantum statistical mechanics, J. Math. Phys. 6 (975), 38{35 [3] M. Fannes, R.F. Werner, unpublished notes, 99 [4] M. Gaudin, Sur la transformee de Laplace de tr e A consideree comme fonction de la diagonale de A, Ann. Inst. Henri Poincare A 8 (978), 43{44 [5] F. Hiai and D. Petz, unpublished notes, 994 [6] F. Hiai and D. Petz, The Semicircle Law, Free Random Variables and Entropy, Mathematical Surveys and Monographs, Vol. 77, Amer. Math. Soc., Providence, 000 [7] F. Larsen, Brown measures and R-diagonal elements in nite von Neumann algebras, Ph.D. thesis, University of Southern Denmark, 999 [8] M.L. Mehta and K. Kumar, On an integral representation of the function Tr exp(a B), J. Phys. A 9 (976), 97{06 [9] D. Voiculescu, Limit laws for random matrices and free products, Invent. Math. 04 (99), 0{0 6
The sum of digits of polynomial values in arithmetic progressions
The sum of digits of polynomial values in arithmetic progressions Thomas Stoll Institut de Mathématiques de Luminy, Université de la Méditerranée, 13288 Marseille Cedex 9, France E-mail: stoll@iml.univ-mrs.fr
More informationF. ABTAHI and M. ZARRIN. (Communicated by J. Goldstein)
Journal of Algerian Mathematical Society Vol. 1, pp. 1 6 1 CONCERNING THE l p -CONJECTURE FOR DISCRETE SEMIGROUPS F. ABTAHI and M. ZARRIN (Communicated by J. Goldstein) Abstract. For 2 < p
More informationThe Quantum Harmonic Oscillator Stephen Webb
The Quantum Harmonic Oscillator Stephen Webb The Importance of the Harmonic Oscillator The quantum harmonic oscillator holds a unique importance in quantum mechanics, as it is both one of the few problems
More informationMax-Min Representation of Piecewise Linear Functions
Beiträge zur Algebra und Geometrie Contributions to Algebra and Geometry Volume 43 (2002), No. 1, 297-302. Max-Min Representation of Piecewise Linear Functions Sergei Ovchinnikov Mathematics Department,
More informationContinued Fractions and the Euclidean Algorithm
Continued Fractions and the Euclidean Algorithm Lecture notes prepared for MATH 326, Spring 997 Department of Mathematics and Statistics University at Albany William F Hammond Table of Contents Introduction
More informationInner Product Spaces
Math 571 Inner Product Spaces 1. Preliminaries An inner product space is a vector space V along with a function, called an inner product which associates each pair of vectors u, v with a scalar u, v, and
More informationAn elementary proof of Wigner's theorem on quantum mechanical symmetry transformations
An elementary proof of Wigner's theorem on quantum mechanical symmetry transformations University of Szeged, Bolyai Institute and MTA-DE "Lendület" Functional Analysis Research Group, University of Debrecen
More informationRESONANCES AND BALLS IN OBSTACLE SCATTERING WITH NEUMANN BOUNDARY CONDITIONS
RESONANCES AND BALLS IN OBSTACLE SCATTERING WITH NEUMANN BOUNDARY CONDITIONS T. J. CHRISTIANSEN Abstract. We consider scattering by an obstacle in R d, d 3 odd. We show that for the Neumann Laplacian if
More informationOn Chebyshev interpolation of analytic functions
On Chebyshev interpolation of analytic functions Laurent Demanet Department of Mathematics Massachusetts Institute of Technology Lexing Ying Department of Mathematics University of Texas at Austin March
More informationOn UMVU Estimator of the Generalized Variance for Natural Exponential Families
Monografías del Seminario Matemático García de Galdeano. 27: 353 360, (2003). On UMVU Estimator of the Generalized Variance for Natural Exponential Families Célestin C. Kokonendji Université de Pau et
More informationDuality of linear conic problems
Duality of linear conic problems Alexander Shapiro and Arkadi Nemirovski Abstract It is well known that the optimal values of a linear programming problem and its dual are equal to each other if at least
More informationCITY UNIVERSITY LONDON. BEng Degree in Computer Systems Engineering Part II BSc Degree in Computer Systems Engineering Part III PART 2 EXAMINATION
No: CITY UNIVERSITY LONDON BEng Degree in Computer Systems Engineering Part II BSc Degree in Computer Systems Engineering Part III PART 2 EXAMINATION ENGINEERING MATHEMATICS 2 (resit) EX2005 Date: August
More information5.3 Improper Integrals Involving Rational and Exponential Functions
Section 5.3 Improper Integrals Involving Rational and Exponential Functions 99.. 3. 4. dθ +a cos θ =, < a
More informationDRAFT. Further mathematics. GCE AS and A level subject content
Further mathematics GCE AS and A level subject content July 2014 s Introduction Purpose Aims and objectives Subject content Structure Background knowledge Overarching themes Use of technology Detailed
More information0.1 Phase Estimation Technique
Phase Estimation In this lecture we will describe Kitaev s phase estimation algorithm, and use it to obtain an alternate derivation of a quantum factoring algorithm We will also use this technique to design
More informationFree Probability, Extensions, and Applications
Free Probability, Extensions, and Applications Alexandru Nica (University of Waterloo), Roland Speicher (Queen s University), Antonia Tulino (Universit degli Studi di Napoli Federico II), Dan Voiculescu
More information6. Define log(z) so that π < I log(z) π. Discuss the identities e log(z) = z and log(e w ) = w.
hapter omplex integration. omplex number quiz. Simplify 3+4i. 2. Simplify 3+4i. 3. Find the cube roots of. 4. Here are some identities for complex conjugate. Which ones need correction? z + w = z + w,
More informationChapter 17. Orthogonal Matrices and Symmetries of Space
Chapter 17. Orthogonal Matrices and Symmetries of Space Take a random matrix, say 1 3 A = 4 5 6, 7 8 9 and compare the lengths of e 1 and Ae 1. The vector e 1 has length 1, while Ae 1 = (1, 4, 7) has length
More informationCOMMUTATIVITY DEGREES OF WREATH PRODUCTS OF FINITE ABELIAN GROUPS
Bull Austral Math Soc 77 (2008), 31 36 doi: 101017/S0004972708000038 COMMUTATIVITY DEGREES OF WREATH PRODUCTS OF FINITE ABELIAN GROUPS IGOR V EROVENKO and B SURY (Received 12 April 2007) Abstract We compute
More informationMath 4310 Handout - Quotient Vector Spaces
Math 4310 Handout - Quotient Vector Spaces Dan Collins The textbook defines a subspace of a vector space in Chapter 4, but it avoids ever discussing the notion of a quotient space. This is understandable
More informationDiscussion on the paper Hypotheses testing by convex optimization by A. Goldenschluger, A. Juditsky and A. Nemirovski.
Discussion on the paper Hypotheses testing by convex optimization by A. Goldenschluger, A. Juditsky and A. Nemirovski. Fabienne Comte, Celine Duval, Valentine Genon-Catalot To cite this version: Fabienne
More informationApplied Linear Algebra I Review page 1
Applied Linear Algebra Review 1 I. Determinants A. Definition of a determinant 1. Using sum a. Permutations i. Sign of a permutation ii. Cycle 2. Uniqueness of the determinant function in terms of properties
More informationarxiv:math/0601660v3 [math.nt] 25 Feb 2006
NOTES Edited by William Adkins arxiv:math/666v3 [math.nt] 25 Feb 26 A Short Proof of the Simple Continued Fraction Expansion of e Henry Cohn. INTRODUCTION. In [3], Euler analyzed the Riccati equation to
More informationElliptical copulae. Dorota Kurowicka, Jolanta Misiewicz, Roger Cooke
Elliptical copulae Dorota Kurowicka, Jolanta Misiewicz, Roger Cooke Abstract: In this paper we construct a copula, that is, a distribution with uniform marginals. This copula is continuous and can realize
More informationCOMMUTATIVITY DEGREES OF WREATH PRODUCTS OF FINITE ABELIAN GROUPS
COMMUTATIVITY DEGREES OF WREATH PRODUCTS OF FINITE ABELIAN GROUPS IGOR V. EROVENKO AND B. SURY ABSTRACT. We compute commutativity degrees of wreath products A B of finite abelian groups A and B. When B
More informationTHE CENTRAL LIMIT THEOREM TORONTO
THE CENTRAL LIMIT THEOREM DANIEL RÜDT UNIVERSITY OF TORONTO MARCH, 2010 Contents 1 Introduction 1 2 Mathematical Background 3 3 The Central Limit Theorem 4 4 Examples 4 4.1 Roulette......................................
More informationMany algorithms, particularly divide and conquer algorithms, have time complexities which are naturally
Recurrence Relations Many algorithms, particularly divide and conquer algorithms, have time complexities which are naturally modeled by recurrence relations. A recurrence relation is an equation which
More informationLimits and Continuity
Math 20C Multivariable Calculus Lecture Limits and Continuity Slide Review of Limit. Side limits and squeeze theorem. Continuous functions of 2,3 variables. Review: Limits Slide 2 Definition Given a function
More informationON GENERALIZED RELATIVE COMMUTATIVITY DEGREE OF A FINITE GROUP. A. K. Das and R. K. Nath
International Electronic Journal of Algebra Volume 7 (2010) 140-151 ON GENERALIZED RELATIVE COMMUTATIVITY DEGREE OF A FINITE GROUP A. K. Das and R. K. Nath Received: 12 October 2009; Revised: 15 December
More informationSection 6.1 - Inner Products and Norms
Section 6.1 - Inner Products and Norms Definition. Let V be a vector space over F {R, C}. An inner product on V is a function that assigns, to every ordered pair of vectors x and y in V, a scalar in F,
More informationGambling Systems and Multiplication-Invariant Measures
Gambling Systems and Multiplication-Invariant Measures by Jeffrey S. Rosenthal* and Peter O. Schwartz** (May 28, 997.. Introduction. This short paper describes a surprising connection between two previously
More informationStatistics of the Zeta zeros: Mesoscopic and macroscopic phenomena
Statistics of the Zeta zeros: Mesoscopic and macroscopic phenomena Department of Mathematics UCLA Fall 2012 he Riemann Zeta function Non-trivial zeros: those with real part in (0, 1). First few: 1 2 +
More information3. INNER PRODUCT SPACES
. INNER PRODUCT SPACES.. Definition So far we have studied abstract vector spaces. These are a generalisation of the geometric spaces R and R. But these have more structure than just that of a vector space.
More informationElasticity Theory Basics
G22.3033-002: Topics in Computer Graphics: Lecture #7 Geometric Modeling New York University Elasticity Theory Basics Lecture #7: 20 October 2003 Lecturer: Denis Zorin Scribe: Adrian Secord, Yotam Gingold
More informationMathematics Course 111: Algebra I Part IV: Vector Spaces
Mathematics Course 111: Algebra I Part IV: Vector Spaces D. R. Wilkins Academic Year 1996-7 9 Vector Spaces A vector space over some field K is an algebraic structure consisting of a set V on which are
More informationON THE EXPONENTIAL FUNCTION
ON THE EXPONENTIAL FUNCTION ROBERT GOVE AND JAN RYCHTÁŘ Abstract. The natural exponential function is one of the most important functions students should learn in calculus classes. The applications range
More informationWHEN DOES A CROSS PRODUCT ON R n EXIST?
WHEN DOES A CROSS PRODUCT ON R n EXIST? PETER F. MCLOUGHLIN It is probably safe to say that just about everyone reading this article is familiar with the cross product and the dot product. However, what
More informationLecture 7: Finding Lyapunov Functions 1
Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.243j (Fall 2003): DYNAMICS OF NONLINEAR SYSTEMS by A. Megretski Lecture 7: Finding Lyapunov Functions 1
More informationRepresentation of functions as power series
Representation of functions as power series Dr. Philippe B. Laval Kennesaw State University November 9, 008 Abstract This document is a summary of the theory and techniques used to represent functions
More informationSign changes of Hecke eigenvalues of Siegel cusp forms of degree 2
Sign changes of Hecke eigenvalues of Siegel cusp forms of degree 2 Ameya Pitale, Ralf Schmidt 2 Abstract Let µ(n), n > 0, be the sequence of Hecke eigenvalues of a cuspidal Siegel eigenform F of degree
More information3. Mathematical Induction
3. MATHEMATICAL INDUCTION 83 3. Mathematical Induction 3.1. First Principle of Mathematical Induction. Let P (n) be a predicate with domain of discourse (over) the natural numbers N = {0, 1,,...}. If (1)
More informationCHAPTER IV - BROWNIAN MOTION
CHAPTER IV - BROWNIAN MOTION JOSEPH G. CONLON 1. Construction of Brownian Motion There are two ways in which the idea of a Markov chain on a discrete state space can be generalized: (1) The discrete time
More informationAlgebra 2 Chapter 1 Vocabulary. identity - A statement that equates two equivalent expressions.
Chapter 1 Vocabulary identity - A statement that equates two equivalent expressions. verbal model- A word equation that represents a real-life problem. algebraic expression - An expression with variables.
More informationPRIME FACTORS OF CONSECUTIVE INTEGERS
PRIME FACTORS OF CONSECUTIVE INTEGERS MARK BAUER AND MICHAEL A. BENNETT Abstract. This note contains a new algorithm for computing a function f(k) introduced by Erdős to measure the minimal gap size in
More informationMATHEMATICAL METHODS OF STATISTICS
MATHEMATICAL METHODS OF STATISTICS By HARALD CRAMER TROFESSOK IN THE UNIVERSITY OF STOCKHOLM Princeton PRINCETON UNIVERSITY PRESS 1946 TABLE OF CONTENTS. First Part. MATHEMATICAL INTRODUCTION. CHAPTERS
More informationIn memory of Lars Hörmander
ON HÖRMANDER S SOLUTION OF THE -EQUATION. I HAAKAN HEDENMALM ABSTRAT. We explain how Hörmander s classical solution of the -equation in the plane with a weight which permits growth near infinity carries
More informationContinuity of the Perron Root
Linear and Multilinear Algebra http://dx.doi.org/10.1080/03081087.2014.934233 ArXiv: 1407.7564 (http://arxiv.org/abs/1407.7564) Continuity of the Perron Root Carl D. Meyer Department of Mathematics, North
More informationAn example of a computable
An example of a computable absolutely normal number Verónica Becher Santiago Figueira Abstract The first example of an absolutely normal number was given by Sierpinski in 96, twenty years before the concept
More informationSimilarity and Diagonalization. Similar Matrices
MATH022 Linear Algebra Brief lecture notes 48 Similarity and Diagonalization Similar Matrices Let A and B be n n matrices. We say that A is similar to B if there is an invertible n n matrix P such that
More informationTHE SQUARE PARTIAL SUMS OF THE FOURIER TRANSFORM OF RADIAL FUNCTIONS IN THREE DIMENSIONS
Scientiae Mathematicae Japonicae Online, Vol. 5,, 9 9 9 THE SQUARE PARTIAL SUMS OF THE FOURIER TRANSFORM OF RADIAL FUNCTIONS IN THREE DIMENSIONS CHIKAKO HARADA AND EIICHI NAKAI Received May 4, ; revised
More information4)(x) du(x) = n-' E?(zi(x)) du(x),
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 98, Number 1, September 1986 ORTHOGONALITY AND THE HAUSDORFF DIMENSION OF THE MAXIMAL MEASURE ARTUR OSCAR LOPES ABSTRACT. In this paper the orthogonality
More informationMICROLOCAL ANALYSIS OF THE BOCHNER-MARTINELLI INTEGRAL
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 00, Number 0, Pages 000 000 S 0002-9939(XX)0000-0 MICROLOCAL ANALYSIS OF THE BOCHNER-MARTINELLI INTEGRAL NIKOLAI TARKHANOV AND NIKOLAI VASILEVSKI
More informationSURVEY ON DYNAMICAL YANG-BAXTER MAPS. Y. Shibukawa
SURVEY ON DYNAMICAL YANG-BAXTER MAPS Y. Shibukawa Department of Mathematics, Faculty of Science, Hokkaido University, Sapporo 060-0810, Japan e-mail: shibu@math.sci.hokudai.ac.jp Abstract In this survey,
More informationNonparametric adaptive age replacement with a one-cycle criterion
Nonparametric adaptive age replacement with a one-cycle criterion P. Coolen-Schrijner, F.P.A. Coolen Department of Mathematical Sciences University of Durham, Durham, DH1 3LE, UK e-mail: Pauline.Schrijner@durham.ac.uk
More informationCopyrighted Material. Chapter 1 DEGREE OF A CURVE
Chapter 1 DEGREE OF A CURVE Road Map The idea of degree is a fundamental concept, which will take us several chapters to explore in depth. We begin by explaining what an algebraic curve is, and offer two
More informationLecture 1: Schur s Unitary Triangularization Theorem
Lecture 1: Schur s Unitary Triangularization Theorem This lecture introduces the notion of unitary equivalence and presents Schur s theorem and some of its consequences It roughly corresponds to Sections
More informationMean value theorem, Taylors Theorem, Maxima and Minima.
MA 001 Preparatory Mathematics I. Complex numbers as ordered pairs. Argand s diagram. Triangle inequality. De Moivre s Theorem. Algebra: Quadratic equations and express-ions. Permutations and Combinations.
More informationSIGNAL PROCESSING & SIMULATION NEWSLETTER
1 of 10 1/25/2008 3:38 AM SIGNAL PROCESSING & SIMULATION NEWSLETTER Note: This is not a particularly interesting topic for anyone other than those who ar e involved in simulation. So if you have difficulty
More informationORDINARY DIFFERENTIAL EQUATIONS
ORDINARY DIFFERENTIAL EQUATIONS GABRIEL NAGY Mathematics Department, Michigan State University, East Lansing, MI, 48824. SEPTEMBER 4, 25 Summary. This is an introduction to ordinary differential equations.
More informationFinite dimensional C -algebras
Finite dimensional C -algebras S. Sundar September 14, 2012 Throughout H, K stand for finite dimensional Hilbert spaces. 1 Spectral theorem for self-adjoint opertors Let A B(H) and let {ξ 1, ξ 2,, ξ n
More informationThe Matrix Elements of a 3 3 Orthogonal Matrix Revisited
Physics 116A Winter 2011 The Matrix Elements of a 3 3 Orthogonal Matrix Revisited 1. Introduction In a class handout entitled, Three-Dimensional Proper and Improper Rotation Matrices, I provided a derivation
More informationOn the Sign of the Difference ir( x) li( x)
mathematics of computation volume 48. number 177 january 1987. pages 323-328 On the Sign of the Difference ir( x) li( x) By Herman J. J. te Riele Dedicated to Daniel Shanks on the occasion of his 10 th
More informationEuler s Formula Math 220
Euler s Formula Math 0 last change: Sept 3, 05 Complex numbers A complex number is an expression of the form x+iy where x and y are real numbers and i is the imaginary square root of. For example, + 3i
More informationA PRIORI ESTIMATES FOR SEMISTABLE SOLUTIONS OF SEMILINEAR ELLIPTIC EQUATIONS. In memory of Rou-Huai Wang
A PRIORI ESTIMATES FOR SEMISTABLE SOLUTIONS OF SEMILINEAR ELLIPTIC EQUATIONS XAVIER CABRÉ, MANEL SANCHÓN, AND JOEL SPRUCK In memory of Rou-Huai Wang 1. Introduction In this note we consider semistable
More informationAvailability of a system with gamma life and exponential repair time under a perfect repair policy
Statistics & Probability Letters 43 (1999) 189 196 Availability of a system with gamma life and exponential repair time under a perfect repair policy Jyotirmoy Sarkar, Gopal Chaudhuri 1 Department of Mathematical
More informationx 2 f 2 e 1 e 4 e 3 e 2 q f 4 x 4 f 3 x 3
Karl-Franzens-Universitat Graz & Technische Universitat Graz SPEZIALFORSCHUNGSBEREICH F 003 OPTIMIERUNG und KONTROLLE Projektbereich DISKRETE OPTIMIERUNG O. Aichholzer F. Aurenhammer R. Hainz New Results
More informationInequalities of Analysis. Andrejs Treibergs. Fall 2014
USAC Colloquium Inequalities of Analysis Andrejs Treibergs University of Utah Fall 2014 2. USAC Lecture: Inequalities of Analysis The URL for these Beamer Slides: Inequalities of Analysis http://www.math.utah.edu/~treiberg/inequalitiesslides.pdf
More informationSome other convex-valued selection theorems 147 (2) Every lower semicontinuous mapping F : X! IR such that for every x 2 X, F (x) is either convex and
PART B: RESULTS x1. CHARACTERIZATION OF NORMALITY- TYPE PROPERTIES 1. Some other convex-valued selection theorems In this section all multivalued mappings are assumed to have convex values in some Banach
More information3 Contour integrals and Cauchy s Theorem
3 ontour integrals and auchy s Theorem 3. Line integrals of complex functions Our goal here will be to discuss integration of complex functions = u + iv, with particular regard to analytic functions. Of
More informationLinear algebra and the geometry of quadratic equations. Similarity transformations and orthogonal matrices
MATH 30 Differential Equations Spring 006 Linear algebra and the geometry of quadratic equations Similarity transformations and orthogonal matrices First, some things to recall from linear algebra Two
More informationMATH1231 Algebra, 2015 Chapter 7: Linear maps
MATH1231 Algebra, 2015 Chapter 7: Linear maps A/Prof. Daniel Chan School of Mathematics and Statistics University of New South Wales danielc@unsw.edu.au Daniel Chan (UNSW) MATH1231 Algebra 1 / 43 Chapter
More information1 if 1 x 0 1 if 0 x 1
Chapter 3 Continuity In this chapter we begin by defining the fundamental notion of continuity for real valued functions of a single real variable. When trying to decide whether a given function is or
More informationComm. Korean Math. Soc. 13 (1998), No. 4, pp. 913{931 INVARIANT CUBATURE FORMULAS OVER A UNIT CUBE Kyoung Joong Kim and Man Suk Song Abstract. Using invariant theory, new invariant cubature formulas over
More informationarxiv:hep-th/0507236v1 25 Jul 2005
Non perturbative series for the calculation of one loop integrals at finite temperature Paolo Amore arxiv:hep-th/050736v 5 Jul 005 Facultad de Ciencias, Universidad de Colima, Bernal Diaz del Castillo
More informationRAJALAKSHMI ENGINEERING COLLEGE MA 2161 UNIT I - ORDINARY DIFFERENTIAL EQUATIONS PART A
RAJALAKSHMI ENGINEERING COLLEGE MA 26 UNIT I - ORDINARY DIFFERENTIAL EQUATIONS. Solve (D 2 + D 2)y = 0. 2. Solve (D 2 + 6D + 9)y = 0. PART A 3. Solve (D 4 + 4)x = 0 where D = d dt 4. Find Particular Integral:
More informationThe Method of Least Squares
The Method of Least Squares Steven J. Miller Mathematics Department Brown University Providence, RI 0292 Abstract The Method of Least Squares is a procedure to determine the best fit line to data; the
More informationMean Value Coordinates
Mean Value Coordinates Michael S. Floater Abstract: We derive a generalization of barycentric coordinates which allows a vertex in a planar triangulation to be expressed as a convex combination of its
More informationProbability Generating Functions
page 39 Chapter 3 Probability Generating Functions 3 Preamble: Generating Functions Generating functions are widely used in mathematics, and play an important role in probability theory Consider a sequence
More informationEXISTENCE AND NON-EXISTENCE RESULTS FOR A NONLINEAR HEAT EQUATION
Sixth Mississippi State Conference on Differential Equations and Computational Simulations, Electronic Journal of Differential Equations, Conference 5 (7), pp. 5 65. ISSN: 7-669. UL: http://ejde.math.txstate.edu
More informationAlex, I will take congruent numbers for one million dollars please
Alex, I will take congruent numbers for one million dollars please Jim L. Brown The Ohio State University Columbus, OH 4310 jimlb@math.ohio-state.edu One of the most alluring aspectives of number theory
More informationRolle s Theorem. q( x) = 1
Lecture 1 :The Mean Value Theorem We know that constant functions have derivative zero. Is it possible for a more complicated function to have derivative zero? In this section we will answer this question
More informationSouth Carolina College- and Career-Ready (SCCCR) Pre-Calculus
South Carolina College- and Career-Ready (SCCCR) Pre-Calculus Key Concepts Arithmetic with Polynomials and Rational Expressions PC.AAPR.2 PC.AAPR.3 PC.AAPR.4 PC.AAPR.5 PC.AAPR.6 PC.AAPR.7 Standards Know
More informationComputing divisors and common multiples of quasi-linear ordinary differential equations
Computing divisors and common multiples of quasi-linear ordinary differential equations Dima Grigoriev CNRS, Mathématiques, Université de Lille Villeneuve d Ascq, 59655, France Dmitry.Grigoryev@math.univ-lille1.fr
More informationMATH 381 HOMEWORK 2 SOLUTIONS
MATH 38 HOMEWORK SOLUTIONS Question (p.86 #8). If g(x)[e y e y ] is harmonic, g() =,g () =, find g(x). Let f(x, y) = g(x)[e y e y ].Then Since f(x, y) is harmonic, f + f = and we require x y f x = g (x)[e
More informationBANACH AND HILBERT SPACE REVIEW
BANACH AND HILBET SPACE EVIEW CHISTOPHE HEIL These notes will briefly review some basic concepts related to the theory of Banach and Hilbert spaces. We are not trying to give a complete development, but
More informationThe Characteristic Polynomial
Physics 116A Winter 2011 The Characteristic Polynomial 1 Coefficients of the characteristic polynomial Consider the eigenvalue problem for an n n matrix A, A v = λ v, v 0 (1) The solution to this problem
More informationSolution to Homework 2
Solution to Homework 2 Olena Bormashenko September 23, 2011 Section 1.4: 1(a)(b)(i)(k), 4, 5, 14; Section 1.5: 1(a)(b)(c)(d)(e)(n), 2(a)(c), 13, 16, 17, 18, 27 Section 1.4 1. Compute the following, if
More informationCounting Primes whose Sum of Digits is Prime
2 3 47 6 23 Journal of Integer Sequences, Vol. 5 (202), Article 2.2.2 Counting Primes whose Sum of Digits is Prime Glyn Harman Department of Mathematics Royal Holloway, University of London Egham Surrey
More informationCorrected Diffusion Approximations for the Maximum of Heavy-Tailed Random Walk
Corrected Diffusion Approximations for the Maximum of Heavy-Tailed Random Walk Jose Blanchet and Peter Glynn December, 2003. Let (X n : n 1) be a sequence of independent and identically distributed random
More informationChapter 7. Continuity
Chapter 7 Continuity There are many processes and eects that depends on certain set of variables in such a way that a small change in these variables acts as small change in the process. Changes of this
More informationFigure 1.1 Vector A and Vector F
CHAPTER I VECTOR QUANTITIES Quantities are anything which can be measured, and stated with number. Quantities in physics are divided into two types; scalar and vector quantities. Scalar quantities have
More informationQuantum Computing and Grover s Algorithm
Quantum Computing and Grover s Algorithm Matthew Hayward January 14, 2015 1 Contents 1 Motivation for Study of Quantum Computing 3 1.1 A Killer App for Quantum Computing.............. 3 2 The Quantum Computer
More informationIRREDUCIBLE OPERATOR SEMIGROUPS SUCH THAT AB AND BA ARE PROPORTIONAL. 1. Introduction
IRREDUCIBLE OPERATOR SEMIGROUPS SUCH THAT AB AND BA ARE PROPORTIONAL R. DRNOVŠEK, T. KOŠIR Dedicated to Prof. Heydar Radjavi on the occasion of his seventieth birthday. Abstract. Let S be an irreducible
More informationarxiv:cond-mat/9811359v1 [cond-mat.dis-nn] 25 Nov 1998
arxiv:cond-mat/9811359v1 [cond-mat.dis-nn] 25 Nov 1998 Energy Levels of Quasiperiodic Hamiltonians, Spectral Unfolding, and Random Matrix Theory M. Schreiber 1, U. Grimm, 1 R. A. Römer, 1 and J. X. Zhong
More informationProblem Set 5 Due: In class Thursday, Oct. 18 Late papers will be accepted until 1:00 PM Friday.
Math 312, Fall 2012 Jerry L. Kazdan Problem Set 5 Due: In class Thursday, Oct. 18 Late papers will be accepted until 1:00 PM Friday. In addition to the problems below, you should also know how to solve
More information5. Orthogonal matrices
L Vandenberghe EE133A (Spring 2016) 5 Orthogonal matrices matrices with orthonormal columns orthogonal matrices tall matrices with orthonormal columns complex matrices with orthonormal columns 5-1 Orthonormal
More informationMATH 4330/5330, Fourier Analysis Section 11, The Discrete Fourier Transform
MATH 433/533, Fourier Analysis Section 11, The Discrete Fourier Transform Now, instead of considering functions defined on a continuous domain, like the interval [, 1) or the whole real line R, we wish
More informationTrigonometric Functions and Equations
Contents Trigonometric Functions and Equations Lesson 1 Reasoning with Trigonometric Functions Investigations 1 Proving Trigonometric Identities... 271 2 Sum and Difference Identities... 276 3 Extending
More informationRotation Rate of a Trajectory of an Algebraic Vector Field Around an Algebraic Curve
QUALITATIVE THEORY OF DYAMICAL SYSTEMS 2, 61 66 (2001) ARTICLE O. 11 Rotation Rate of a Trajectory of an Algebraic Vector Field Around an Algebraic Curve Alexei Grigoriev Department of Mathematics, The
More information1. Let X and Y be normed spaces and let T B(X, Y ).
Uppsala Universitet Matematiska Institutionen Andreas Strömbergsson Prov i matematik Funktionalanalys Kurs: NVP, Frist. 2005-03-14 Skrivtid: 9 11.30 Tillåtna hjälpmedel: Manuella skrivdon, Kreyszigs bok
More information