The Poisson Summation Formula and an Application to Number Theory Jason Payne Math 248- Introduction Harmonic Analysis, February 18, 2010

Size: px
Start display at page:

Download "The Poisson Summation Formula and an Application to Number Theory Jason Payne Math 248- Introduction Harmonic Analysis, February 18, 2010"

Transcription

1 The Poisso Summatio Formula ad a Applicatio to Number Theory Jaso Paye Math 48- Itroductio Harmoic Aalysis, February 8, This talk will closely follow []; however some material has bee adapted to a slightly more geeral case usig (without metio theorems foud i, for example, []. The applicatio will closely follow [3]. Essetially the idea behid the mai topic of this talk stems from the questio of how oe ca take a fuctio f L (R, ad maufacture from it a periodic fuctio. There are two approaches- the first is to restrict ˆf to the lattice Z ad create the Fourier series Sf(x = ˆf(κe κ Z πiκ x ; the secod is to average, i some sese, the fuctio over all periods i Z, i.e. to geerate the series P f(x = k Z τ kf(x. The Poisso Summatio Formula shows that both methods ot oly work, but they give the same result. Before gettig to this theorem, we will require the followig lemma ad the subsequet techical theorem. Lemma. If f, g L (R, the ( ˆfĝˇ= f g. Proof. By Hölder s iequality ad the Placherel theorem, we have that ˆfĝ L ˆf L ĝ L < ; hece ˆfĝ L, so ( ˆfĝˇ is well-defied. Now, for each x R, we defie h x (y = g(x y. Observe that ĥ(ξ = e πiξ y g(x ydy = e πiξ x R e πiξ (x y g(x ydy R = e πiξ x R e πiξ z g(zdz = e πiξ x E ξ, g = e πiξ x g, E ξ Thus, sice F is uitary o L, = e πiξ x R g(ze πiξ z dz = e πiξ x ĝ(ξ. (f g(x = f(yg(x ydy = f(yh(ydy = f, h = ˆf, ĥ R R = ˆf(ξ ĥ(ξdξ = ˆf(ξĝ(ξe πiξ x dξ = ( ˆfĝˇ(x, R R Theorem. Suppose that Φ L ( C ( (where is either R or T, Φ( =, ad φ = ˇΦ L (. Give f L ( + L (, for t > set f t (x = ˆf(ξΦ(tξe πiξ x dξ. (a If f L p (, for p <, the f t L p ( ad f t f L p as t. (b If f is bouded ad uiformly cotiuous, the so is f t, ad f t f uiformly as t. (c Suppose also that φ(x C(+ x ɛ for some C, ɛ >. The f t (x f(x for every x i the Lebesgue set of f.

2 Proof. Write f = f + f where f L ad f L. The, from the Hausdorff- Youg Iequality, we have that ˆf L, ˆf L. Moreover, sice Φ L C, we have that Φ L = Φ = Φ + Φ, E E c where E = {x Φ(x ɛ} is compact sice Φ C. Therefore Φ L m(e max x E { Φ } + ɛ Φ L <, where the last iequality comes from the followig facts: m(e < sice E is a compact subset of R, ad is therefore bouded; max x E { Φ } < sice Φ is cotiuous ad E is compact; Φ L < sice Φ L. Hece Φ L L, ad so f t coverges absolutely for every x. Moreover, we have that φ t (ξ = t φ(t ξe πix ξ dξ = t t φ(ze πitx z dz = ˇΦ(tx = Φ(tx, where the last equality is justified sice Φ L, so we ca apply the Fourier Iversio Theorem. I particular, φ t (ξdξ = φ t ( = Φ( =. From here, sice φ, f L, Youg s Iequality implies that f φ L, ad sice ˆf L ad Φ L, Hölder s Iequality implies that f Φ L. Therefore, applyig the Fourier Iversio Theorem, ˆf (ξφ(tξe πiξ x dξ = ˆf (ξ φ t (ξe πiξ x dξ = (f φ t ˆ(ξe πiξ x dξ = (f φ t (x. Additioally, we kow that ˇφ = Φ L L, so by the Placherel theorem ad the iversio theorem ˆˇφ = φ L ; hece, by Lemma, we have that f (ξφ(tξe πiξ x dξ = ˆf (ξ φ t (ξe πiξ x dξ = (f φ t ˆ(ξe πiξ x dξ = ( f φ t ˇ(x = (f φ t (x. Fially, by the liearity of F ad, we have that f t = f φ t, ad the assertios follow from the approximate idetity theorem. Theorem (The Poisso Summatio Formula. Suppose f C(R satisfies f(x C( + x ɛ ad ˆf(ξ C( + ξ ɛ for some C, ɛ >. The f(x + k = ˆf(κe πiκ x, k Z κ Z where both series coverge absolutely ad uiformly o T. x =, f(k = ˆf(κ. k Z κ Z I particular, takig

3 Proof. We begi by otig that the reciprocal polyomial growth coditio o f ad ˆf esure the absolute ad uiform covergece of the series ivolved. Ideed, f(x + k f(x+k C (+ x+k ɛ (+ x+k ɛ <, k Z k Z k Z R ad similarly for the series ivolvig ˆf. The uiform covergece of P f = τ k f(x = f(x + k k Z k Z implies that P f C(T. But T is compact ad has fiite measure, so M = max x T P f exists ad is fiite; hece T P f M m(t <, so P f L (T. Now cosider Φ. We have that Φ( =, T Φ = m(t <, ad {x T Φ(x ɛ} = { if ɛ > T < ɛ, which are both compact, so Φ L (T C (T. Thus, Φ satisfies the coditios of Theorem, so we have from parts (b ad (a that (P f t = ˆf(κEκ P f κ Z uiformly ad i L (T. Fially, ote that the uiform covergece esures that we have poitwise covergece as well, i.e. f(x + k = ˆf(κe πiκ x, k Z κ Z Now that we have prove the cetral object of study of this talk, we will move o to a applicatio i the field of aalytic umber theory ad the study of the Riema zeta fuctio. Defiitio. We defie the Jacobi theta fuctio as ψ(x = e πx. = We will apply the Poisso Summatio Formula to the Gauss kerel, but first we eed to verify that it satisfies the hypotheses of this theorem. Lemma. Let Φ(x = e π x The, for each t >, Φ t satisfies the hypotheses of Theorem. Proof. C =, ɛ = /. 3

4 Theorem 3. Let ψ(x be as above. The ψ(x satisfies the fuctioal equatio ψ(x + = ( (ψ +. x x Proof. We begi by applyig Poussi s summatio formula to the fuctio Φ t to obtai t = k Z k Z e kπ/t = k Z Φ t (k = κ Z Φ( tκ = k Z Φ t (κ Φ( tκ = k Z e κ πt. From here, simply ote that the terms i both summatios are symmetric with respect to the idex, so we have ( (ψ + = ψ(x +, x x To see how this fuctioal equatio is useful i studyig the Riema zeta fuctio, we will first require the followig two classical results. Lemma 3 (Euler s Reflectio Formula. Proof. We begi by recallig that Γ(sΓ( s = π si(πs. thus Γ(s = seγs = (( + s e s/ ; Γ(sΓ( s = s e γs e γs (( + s e s/ (( s e s/ = s ( s = = However, from the fuctioal equatio for the Gamma fuctio we have Γ(sΓ( s = s = ( s. Fially, we make use of the product formula for si(s/s: so that si(πs = πs ( s = Γ(sΓ( s = π si(πs., Lemma 4 (The Duplicatio Formula. ( Γ(sΓ s + = s πγ(s. 4

5 Proof. For this proof we will first itroduce the beta fuctio B(s, ω defied below B(s, ω = Γ(s + ω Γ(sΓ(ω. It is well kow that this has the followig itegral represetatio From this we have B(s, ω = λ s ( λ ω dλ. B(s, s = λ s ( λ s dλ = / λ s ( λ s dλ. The by makig the chage of variable λ = / / µ we have B(s, s = ( 4 s ( 4 µ dµ / µ = s ( µ s µ / dµ = s B s,. Usig the origial defiitio of the beta fuctio o both sides we have Γ(s (Γ(s = Γ ( s + s Γ(s π, from which the desired result follows immediately. Now equipped with these results, we ca prove oe of the key theorems i the study of the Riema zeta fuctio. Theorem 4 (Fuctioal Equatio for the Riema Zeta Fuctio. ( π ζ(s = s π s si s Γ( sζ( s. Proof. Suppose that σ >, the Γ ( s s π = s/ I particular, for σ > we have that Γ ( s ζ(s π s/ = = x s/ e πx dx = For simplicity of otatio we will write x s/ e πx dx. x s/ = e πx dx. Thus, we have that ψ(x = e πx. = ζ(s = πs/ Γ ( s Next, usig Lemma, we obtai = Γ ( s ζ(s π s/ = x s/ ( x ψ ( x x s/ ψ(xdx + x s/ ψ(xdx. + x dx + 5 x s/ ψ(xdx x s/ ψ(xdx

6 = s s + = s(s + x s/ 3/ ψ ( dx + x x s/ ψ(xdx (x s/ / + x s/ ψ(xdx Fially, we ote first that the remaiig itegral is coverget for all values of s, so by the Priciple of Aalytic Cotiuatio, we have that the above formula holds for all s. Next ote that the right had side of the formula is uchaged by the chage of variable s = s, ad hece we have or equivaletly, Γ ( s ζ(s = Γ π s/ Now, applyig Lemma, we have ( s ζ( s, π ( s/ ζ(s = π s / Γ ( s Γ ( s ζ( s. ( π ( ζ(s = π s 3/ si s Γ s Γ ( s Fially, by applyig Lemma 3, we have ( π ζ(s = s π s si s Γ( sζ( s, ζ( s. Refereces [] G.B. Follad. Real Aalysis: Moder Techiques ad Their Applicatios. Wiley, 999. [] W. Rudi. Fourier Aalysis o Groups. Joh Wiley & Sos, 96. [3] E.C. Titchmarsh ad D.R. Heath-Brow. The Theory of the Riema Zeta Fuctio. Oxford Uiversity Press, 7. 6

Class Meeting # 16: The Fourier Transform on R n

Class Meeting # 16: The Fourier Transform on R n MATH 18.152 COUSE NOTES - CLASS MEETING # 16 18.152 Itroductio to PDEs, Fall 2011 Professor: Jared Speck Class Meetig # 16: The Fourier Trasform o 1. Itroductio to the Fourier Trasform Earlier i the course,

More information

Product measures, Tonelli s and Fubini s theorems For use in MAT3400/4400, autumn 2014 Nadia S. Larsen. Version of 13 October 2014.

Product measures, Tonelli s and Fubini s theorems For use in MAT3400/4400, autumn 2014 Nadia S. Larsen. Version of 13 October 2014. Product measures, Toelli s ad Fubii s theorems For use i MAT3400/4400, autum 2014 Nadia S. Larse Versio of 13 October 2014. 1. Costructio of the product measure The purpose of these otes is to preset the

More information

MATH301 Real Analysis (2008 Fall) Tutorial Note #7. k=1 f k (x) converges pointwise to S(x) on E if and

MATH301 Real Analysis (2008 Fall) Tutorial Note #7. k=1 f k (x) converges pointwise to S(x) on E if and MATH01 Real Aalysis (2008 Fall) Tutorial Note #7 Sequece ad Series of fuctio 1: Poitwise Covergece ad Uiform Covergece Part I: Poitwise Covergece Defiitio of poitwise covergece: A sequece of fuctios f

More information

Chapter 8. Euler s Gamma function

Chapter 8. Euler s Gamma function Chapter 8 Euler s Gamma fuctio The Gamma fuctio plays a importat role i the fuctioal equatio for ζ(s that we will derive i the ext chapter. I the preset chapter we have collected some properties of the

More information

INFINITE SEQUENCES AND SERIES

INFINITE SEQUENCES AND SERIES INFINITE SEQUENCES AND SERIES INFINITE SEQUENCES AND SERIES I geeral, it is difficult to fid the exact sum of a series. We were able to accomplish this for geometric series ad the series /[(+)]. This is

More information

6.3 Testing Series With Positive Terms

6.3 Testing Series With Positive Terms 6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial

More information

Lecture 3: Convergence of Fourier Series

Lecture 3: Convergence of Fourier Series Lecture 3: Covergece of Fourier Series Himashu Tyagi Let f be a absolutely itegrable fuctio o T : [ π,π], i.e., f L (T). For,,... defie ˆf() f(θ)e i θ dθ. π T The series ˆf()e i θ is called the Fourier

More information

lim za n n = z lim a n n.

lim za n n = z lim a n n. Lecture 6 Sequeces ad Series Defiitio 1 By a sequece i a set A, we mea a mappig f : N A. It is customary to deote a sequece f by {s } where, s := f(). A sequece {z } of (complex) umbers is said to be coverget

More information

Chapter 8. Euler s Gamma function

Chapter 8. Euler s Gamma function Chapter 8 Euler s Gamma fuctio The Gamma fuctio plays a importat role i the fuctioal equatio for ζ(s) that we will derive i the ext chapter. I the preset chapter we have collected some properties of the

More information

Indian Statistical Institute, Bangalore Centre Solution set of M.Math II Year, End-Sem Examination 2015 Fourier Analysis

Indian Statistical Institute, Bangalore Centre Solution set of M.Math II Year, End-Sem Examination 2015 Fourier Analysis Idia Statistical Istitute, Bagalore Cetre Solutio set of M.Math II Year, Ed-Sem Examiatio 05 Fourier Aalysis Note: We use the followig otatios L () L ad L () L.. Prove that f, ˆf L the f L. Proof. Sice

More information

TERMWISE DERIVATIVES OF COMPLEX FUNCTIONS

TERMWISE DERIVATIVES OF COMPLEX FUNCTIONS TERMWISE DERIVATIVES OF COMPLEX FUNCTIONS This writeup proves a result that has as oe cosequece that ay complex power series ca be differetiated term-by-term withi its disk of covergece The result has

More information

The Riemann Zeta Function

The Riemann Zeta Function Physics 6A Witer 6 The Riema Zeta Fuctio I this ote, I will sketch some of the mai properties of the Riema zeta fuctio, ζ(x). For x >, we defie ζ(x) =, x >. () x = For x, this sum diverges. However, we

More information

Additional Notes on Power Series

Additional Notes on Power Series Additioal Notes o Power Series Mauela Girotti MATH 37-0 Advaced Calculus of oe variable Cotets Quick recall 2 Abel s Theorem 2 3 Differetiatio ad Itegratio of Power series 4 Quick recall We recall here

More information

Sequences and Series of Functions

Sequences and Series of Functions Chapter 6 Sequeces ad Series of Fuctios 6.1. Covergece of a Sequece of Fuctios Poitwise Covergece. Defiitio 6.1. Let, for each N, fuctio f : A R be defied. If, for each x A, the sequece (f (x)) coverges

More information

Math 113 Exam 4 Practice

Math 113 Exam 4 Practice Math Exam 4 Practice Exam 4 will cover.-.. This sheet has three sectios. The first sectio will remid you about techiques ad formulas that you should kow. The secod gives a umber of practice questios for

More information

Dirichlet s Theorem on Arithmetic Progressions

Dirichlet s Theorem on Arithmetic Progressions Dirichlet s Theorem o Arithmetic Progressios Athoy Várilly Harvard Uiversity, Cambridge, MA 0238 Itroductio Dirichlet s theorem o arithmetic progressios is a gem of umber theory. A great part of its beauty

More information

Archimedes - numbers for counting, otherwise lengths, areas, etc. Kepler - geometry for planetary motion

Archimedes - numbers for counting, otherwise lengths, areas, etc. Kepler - geometry for planetary motion Topics i Aalysis 3460:589 Summer 007 Itroductio Ree descartes - aalysis (breaig dow) ad sythesis Sciece as models of ature : explaatory, parsimoious, predictive Most predictios require umerical values,

More information

THE ZETA FUNCTION AND THE RIEMANN HYPOTHESIS. Contents 1. History 1

THE ZETA FUNCTION AND THE RIEMANN HYPOTHESIS. Contents 1. History 1 THE ZETA FUNCTION AND THE RIEMANN HYPOTHESIS VIKTOR MOROS Abstract. The zeta fuctio has bee studied for ceturies but mathematicias are still learig about it. I this paper, I will discuss some of the zeta

More information

Ma 530 Infinite Series I

Ma 530 Infinite Series I Ma 50 Ifiite Series I Please ote that i additio to the material below this lecture icorporated material from the Visual Calculus web site. The material o sequeces is at Visual Sequeces. (To use this li

More information

Math 25 Solutions to practice problems

Math 25 Solutions to practice problems Math 5: Advaced Calculus UC Davis, Sprig 0 Math 5 Solutios to practice problems Questio For = 0,,, 3,... ad 0 k defie umbers C k C k =! k!( k)! (for k = 0 ad k = we defie C 0 = C = ). by = ( )... ( k +

More information

Analytic Continuation

Analytic Continuation Aalytic Cotiuatio The stadard example of this is give by Example Let h (z) = 1 + z + z 2 + z 3 +... kow to coverge oly for z < 1. I fact h (z) = 1/ (1 z) for such z. Yet H (z) = 1/ (1 z) is defied for

More information

University of Colorado Denver Dept. Math. & Stat. Sciences Applied Analysis Preliminary Exam 13 January 2012, 10:00 am 2:00 pm. Good luck!

University of Colorado Denver Dept. Math. & Stat. Sciences Applied Analysis Preliminary Exam 13 January 2012, 10:00 am 2:00 pm. Good luck! Uiversity of Colorado Dever Dept. Math. & Stat. Scieces Applied Aalysis Prelimiary Exam 13 Jauary 01, 10:00 am :00 pm Name: The proctor will let you read the followig coditios before the exam begis, ad

More information

Fourier Series and their Applications

Fourier Series and their Applications Fourier Series ad their Applicatios The fuctios, cos x, si x, cos x, si x, are orthogoal over (, ). m cos mx cos xdx = m = m = = cos mx si xdx = for all m, { m si mx si xdx = m = I fact the fuctios satisfy

More information

ANSWERS TO MIDTERM EXAM # 2

ANSWERS TO MIDTERM EXAM # 2 MATH 03, FALL 003 ANSWERS TO MIDTERM EXAM # PENN STATE UNIVERSITY Problem 1 (18 pts). State ad prove the Itermediate Value Theorem. Solutio See class otes or Theorem 5.6.1 from our textbook. Problem (18

More information

The Gamma function Michael Taylor. Abstract. This material is excerpted from 18 and Appendix J of [T].

The Gamma function Michael Taylor. Abstract. This material is excerpted from 18 and Appendix J of [T]. The Gamma fuctio Michael Taylor Abstract. This material is excerpted from 8 ad Appedix J of [T]. The Gamma fuctio has bee previewed i 5.7 5.8, arisig i the computatio of a atural Laplace trasform: 8. ft

More information

Convergence of random variables. (telegram style notes) P.J.C. Spreij

Convergence of random variables. (telegram style notes) P.J.C. Spreij Covergece of radom variables (telegram style otes).j.c. Spreij this versio: September 6, 2005 Itroductio As we kow, radom variables are by defiitio measurable fuctios o some uderlyig measurable space

More information

Topics in Probability Theory and Stochastic Processes Steven R. Dunbar. Stirling s Formula Derived from the Gamma Function

Topics in Probability Theory and Stochastic Processes Steven R. Dunbar. Stirling s Formula Derived from the Gamma Function Steve R. Dubar Departmet of Mathematics 23 Avery Hall Uiversity of Nebraska-Licol Licol, NE 68588-3 http://www.math.ul.edu Voice: 42-472-373 Fax: 42-472-8466 Topics i Probability Theory ad Stochastic Processes

More information

Chapter 3. Strong convergence. 3.1 Definition of almost sure convergence

Chapter 3. Strong convergence. 3.1 Definition of almost sure convergence Chapter 3 Strog covergece As poited out i the Chapter 2, there are multiple ways to defie the otio of covergece of a sequece of radom variables. That chapter defied covergece i probability, covergece i

More information

Integrable Functions. { f n } is called a determining sequence for f. If f is integrable with respect to, then f d does exist as a finite real number

Integrable Functions. { f n } is called a determining sequence for f. If f is integrable with respect to, then f d does exist as a finite real number MATH 532 Itegrable Fuctios Dr. Neal, WKU We ow shall defie what it meas for a measurable fuctio to be itegrable, show that all itegral properties of simple fuctios still hold, ad the give some coditios

More information

Chapter 10: Power Series

Chapter 10: Power Series Chapter : Power Series 57 Chapter Overview: Power Series The reaso series are part of a Calculus course is that there are fuctios which caot be itegrated. All power series, though, ca be itegrated because

More information

INFINITE SEQUENCES AND SERIES

INFINITE SEQUENCES AND SERIES 11 INFINITE SEQUENCES AND SERIES INFINITE SEQUENCES AND SERIES 11.4 The Compariso Tests I this sectio, we will lear: How to fid the value of a series by comparig it with a kow series. COMPARISON TESTS

More information

Chapter 6 Infinite Series

Chapter 6 Infinite Series Chapter 6 Ifiite Series I the previous chapter we cosidered itegrals which were improper i the sese that the iterval of itegratio was ubouded. I this chapter we are goig to discuss a topic which is somewhat

More information

An alternative proof of a theorem of Aldous. concerning convergence in distribution for martingales.

An alternative proof of a theorem of Aldous. concerning convergence in distribution for martingales. A alterative proof of a theorem of Aldous cocerig covergece i distributio for martigales. Maurizio Pratelli Dipartimeto di Matematica, Uiversità di Pisa. Via Buoarroti 2. I-56127 Pisa, Italy e-mail: pratelli@dm.uipi.it

More information

On a class of convergent sequences defined by integrals 1

On a class of convergent sequences defined by integrals 1 Geeral Mathematics Vol. 4, No. 2 (26, 43 54 O a class of coverget sequeces defied by itegrals Dori Adrica ad Mihai Piticari Abstract The mai result shows that if g : [, ] R is a cotiuous fuctio such that

More information

ON CONVERGENCE OF BASIC HYPERGEOMETRIC SERIES. 1. Introduction Basic hypergeometric series (cf. [GR]) with the base q is defined by

ON CONVERGENCE OF BASIC HYPERGEOMETRIC SERIES. 1. Introduction Basic hypergeometric series (cf. [GR]) with the base q is defined by ON CONVERGENCE OF BASIC HYPERGEOMETRIC SERIES TOSHIO OSHIMA Abstract. We examie the covergece of q-hypergeometric series whe q =. We give a coditio so that the radius of the covergece is positive ad get

More information

The Prime Number Theorem without Euler products

The Prime Number Theorem without Euler products The Prime Number Theorem without Euler products Michael Müger Istitute for Mathematics, Astrophysics ad Particle Physics Radboud Uiversity Nijmege, The Netherlads October, 27 Abstract We give a simple

More information

Chapter 7 Isoperimetric problem

Chapter 7 Isoperimetric problem Chapter 7 Isoperimetric problem Recall that the isoperimetric problem (see the itroductio its coectio with ido s proble) is oe of the most classical problem of a shape optimizatio. It ca be formulated

More information

6. Uniform distribution mod 1

6. Uniform distribution mod 1 6. Uiform distributio mod 1 6.1 Uiform distributio ad Weyl s criterio Let x be a seuece of real umbers. We may decompose x as the sum of its iteger part [x ] = sup{m Z m x } (i.e. the largest iteger which

More information

Fall 2013 MTH431/531 Real analysis Section Notes

Fall 2013 MTH431/531 Real analysis Section Notes Fall 013 MTH431/531 Real aalysis Sectio 8.1-8. Notes Yi Su 013.11.1 1. Defiitio of uiform covergece. We look at a sequece of fuctios f (x) ad study the coverget property. Notice we have two parameters

More information

An application of the Hooley Huxley contour

An application of the Hooley Huxley contour ACTA ARITHMETICA LXV. 993) A applicatio of the Hooley Huxley cotour by R. Balasubramaia Madras), A. Ivić Beograd) ad K. Ramachadra Bombay) To the memory of Professor Helmut Hasse 898 979). Itroductio ad

More information

A Proof of Birkhoff s Ergodic Theorem

A Proof of Birkhoff s Ergodic Theorem A Proof of Birkhoff s Ergodic Theorem Joseph Hora September 2, 205 Itroductio I Fall 203, I was learig the basics of ergodic theory, ad I came across this theorem. Oe of my supervisors, Athoy Quas, showed

More information

The Arakawa-Kaneko Zeta Function

The Arakawa-Kaneko Zeta Function The Arakawa-Kaeko Zeta Fuctio Marc-Atoie Coppo ad Berard Cadelpergher Nice Sophia Atipolis Uiversity Laboratoire Jea Alexadre Dieudoé Parc Valrose F-0608 Nice Cedex 2 FRANCE Marc-Atoie.COPPO@uice.fr Berard.CANDELPERGHER@uice.fr

More information

s = and t = with C ij = A i B j F. (i) Note that cs = M and so ca i µ(a i ) I E (cs) = = c a i µ(a i ) = ci E (s). (ii) Note that s + t = M and so

s = and t = with C ij = A i B j F. (i) Note that cs = M and so ca i µ(a i ) I E (cs) = = c a i µ(a i ) = ci E (s). (ii) Note that s + t = M and so 3 From the otes we see that the parts of Theorem 4. that cocer us are: Let s ad t be two simple o-egative F-measurable fuctios o X, F, µ ad E, F F. The i I E cs ci E s for all c R, ii I E s + t I E s +

More information

The Bilateral Laplace Transform of the Positive Even Functions and a Proof of Riemann Hypothesis

The Bilateral Laplace Transform of the Positive Even Functions and a Proof of Riemann Hypothesis The Bilateral Laplace Trasform of the Positive Eve Fuctios ad a Proof of Riema Hypothesis Seog Wo Cha Ph.D. swcha@dgu.edu Abstract We show that some iterestig properties of the bilateral Laplace trasform

More information

MATH4822E FOURIER ANALYSIS AND ITS APPLICATIONS

MATH4822E FOURIER ANALYSIS AND ITS APPLICATIONS MATH48E FOURIER ANALYSIS AND ITS APPLICATIONS 7.. Cesàro summability. 7. Summability methods Arithmetic meas. The followig idea is due to the Italia geometer Eresto Cesàro (859-96). He shows that eve if

More information

Ma 4121: Introduction to Lebesgue Integration Solutions to Homework Assignment 5

Ma 4121: Introduction to Lebesgue Integration Solutions to Homework Assignment 5 Ma 42: Itroductio to Lebesgue Itegratio Solutios to Homework Assigmet 5 Prof. Wickerhauser Due Thursday, April th, 23 Please retur your solutios to the istructor by the ed of class o the due date. You

More information

Notes on the prime number theorem

Notes on the prime number theorem Notes o the rime umber theorem Keji Kozai May 2, 24 Statemet We begi with a defiitio. Defiitio.. We say that f(x) ad g(x) are asymtotic as x, writte f g, if lim x f(x) g(x) =. The rime umber theorem tells

More information

Bounds for the Positive nth-root of Positive Integers

Bounds for the Positive nth-root of Positive Integers Pure Mathematical Scieces, Vol. 6, 07, o., 47-59 HIKARI Ltd, www.m-hikari.com https://doi.org/0.988/pms.07.7 Bouds for the Positive th-root of Positive Itegers Rachid Marsli Mathematics ad Statistics Departmet

More information

Notes 19 : Martingale CLT

Notes 19 : Martingale CLT Notes 9 : Martigale CLT Math 733-734: Theory of Probability Lecturer: Sebastie Roch Refereces: [Bil95, Chapter 35], [Roc, Chapter 3]. Sice we have ot ecoutered weak covergece i some time, we first recall

More information

sin(n) + 2 cos(2n) n 3/2 3 sin(n) 2cos(2n) n 3/2 a n =

sin(n) + 2 cos(2n) n 3/2 3 sin(n) 2cos(2n) n 3/2 a n = 60. Ratio ad root tests 60.1. Absolutely coverget series. Defiitio 13. (Absolute covergece) A series a is called absolutely coverget if the series of absolute values a is coverget. The absolute covergece

More information

Sequences. Notation. Convergence of a Sequence

Sequences. Notation. Convergence of a Sequence Sequeces A sequece is essetially just a list. Defiitio (Sequece of Real Numbers). A sequece of real umbers is a fuctio Z (, ) R for some real umber. Do t let the descriptio of the domai cofuse you; it

More information

Beyond simple iteration of a single function, or even a finite sequence of functions, results

Beyond simple iteration of a single function, or even a finite sequence of functions, results A Primer o the Elemetary Theory of Ifiite Compositios of Complex Fuctios Joh Gill Sprig 07 Abstract: Elemetary meas ot requirig the complex fuctios be holomorphic Theorem proofs are fairly simple ad are

More information

Real and Complex Analysis, 3rd Edition, W.Rudin

Real and Complex Analysis, 3rd Edition, W.Rudin Real ad Complex Aalysis, 3rd ditio, W.Rudi Chapter 6 Complex Measures Yug-Hsiag Huag 206/08/22. Let ν be a complex measure o (X, M ). If M, defie { } µ () = sup ν( j ) : N,, 2, disjoit, = j { } ν () =

More information

Math 113 Exam 3 Practice

Math 113 Exam 3 Practice Math Exam Practice Exam will cover.-.9. This sheet has three sectios. The first sectio will remid you about techiques ad formulas that you should kow. The secod gives a umber of practice questios for you

More information

Physics 116A Solutions to Homework Set #1 Winter Boas, problem Use equation 1.8 to find a fraction describing

Physics 116A Solutions to Homework Set #1 Winter Boas, problem Use equation 1.8 to find a fraction describing Physics 6A Solutios to Homework Set # Witer 0. Boas, problem. 8 Use equatio.8 to fid a fractio describig 0.694444444... Start with the formula S = a, ad otice that we ca remove ay umber of r fiite decimals

More information

2 Banach spaces and Hilbert spaces

2 Banach spaces and Hilbert spaces 2 Baach spaces ad Hilbert spaces Tryig to do aalysis i the ratioal umbers is difficult for example cosider the set {x Q : x 2 2}. This set is o-empty ad bouded above but does ot have a least upper boud

More information

arxiv: v2 [math.nt] 10 May 2014

arxiv: v2 [math.nt] 10 May 2014 FUNCTIONAL EQUATIONS RELATED TO THE DIRICHLET LAMBDA AND BETA FUNCTIONS JEONWON KIM arxiv:4045467v mathnt] 0 May 04 Abstract We give closed-form expressios for the Dirichlet beta fuctio at eve positive

More information

Math 113, Calculus II Winter 2007 Final Exam Solutions

Math 113, Calculus II Winter 2007 Final Exam Solutions Math, Calculus II Witer 7 Fial Exam Solutios (5 poits) Use the limit defiitio of the defiite itegral ad the sum formulas to compute x x + dx The check your aswer usig the Evaluatio Theorem Solutio: I this

More information

Math 341 Lecture #31 6.5: Power Series

Math 341 Lecture #31 6.5: Power Series Math 341 Lecture #31 6.5: Power Series We ow tur our attetio to a particular kid of series of fuctios, amely, power series, f(x = a x = a 0 + a 1 x + a 2 x 2 + where a R for all N. I terms of a series

More information

LECTURE 21. DISCUSSION OF MIDTERM EXAM. θ [0, 2π). f(θ) = π θ 2

LECTURE 21. DISCUSSION OF MIDTERM EXAM. θ [0, 2π). f(θ) = π θ 2 LECTURE. DISCUSSION OF MIDTERM EXAM FOURIER ANALYSIS (.443) PROF. QIAO ZHANG Problem. Cosider the itegrable -periodic fuctio f(θ) = θ θ [, ). () Compute the Fourier series for f(θ). () Discuss the covergece

More information

The natural exponential function

The natural exponential function The atural expoetial fuctio Attila Máté Brookly College of the City Uiversity of New York December, 205 Cotets The atural expoetial fuctio for real x. Beroulli s iequality.....................................2

More information

REVIEW 1, MATH n=1 is convergent. (b) Determine whether a n is convergent.

REVIEW 1, MATH n=1 is convergent. (b) Determine whether a n is convergent. REVIEW, MATH 00. Let a = +. a) Determie whether the sequece a ) is coverget. b) Determie whether a is coverget.. Determie whether the series is coverget or diverget. If it is coverget, fid its sum. a)

More information

1. (25 points) Use the limit definition of the definite integral and the sum formulas 1 to compute

1. (25 points) Use the limit definition of the definite integral and the sum formulas 1 to compute Math, Calculus II Fial Eam Solutios. 5 poits) Use the limit defiitio of the defiite itegral ad the sum formulas to compute 4 d. The check your aswer usig the Evaluatio Theorem. ) ) Solutio: I this itegral,

More information

Definition 4.2. (a) A sequence {x n } in a Banach space X is a basis for X if. unique scalars a n (x) such that x = n. a n (x) x n. (4.

Definition 4.2. (a) A sequence {x n } in a Banach space X is a basis for X if. unique scalars a n (x) such that x = n. a n (x) x n. (4. 4. BASES I BAACH SPACES 39 4. BASES I BAACH SPACES Sice a Baach space X is a vector space, it must possess a Hamel, or vector space, basis, i.e., a subset {x γ } γ Γ whose fiite liear spa is all of X ad

More information

Solutions to HW Assignment 1

Solutions to HW Assignment 1 Solutios to HW: 1 Course: Theory of Probability II Page: 1 of 6 Uiversity of Texas at Austi Solutios to HW Assigmet 1 Problem 1.1. Let Ω, F, {F } 0, P) be a filtered probability space ad T a stoppig time.

More information

2.4.2 A Theorem About Absolutely Convergent Series

2.4.2 A Theorem About Absolutely Convergent Series 0 Versio of August 27, 200 CHAPTER 2. INFINITE SERIES Add these two series: + 3 2 + 5 + 7 4 + 9 + 6 +... = 3 l 2. (2.20) 2 Sice the reciprocal of each iteger occurs exactly oce i the last series, we would

More information

FUNDAMENTALS OF REAL ANALYSIS by

FUNDAMENTALS OF REAL ANALYSIS by FUNDAMENTALS OF REAL ANALYSIS by Doğa Çömez Backgroud: All of Math 450/1 material. Namely: basic set theory, relatios ad PMI, structure of N, Z, Q ad R, basic properties of (cotiuous ad differetiable)

More information

Council for Innovative Research

Council for Innovative Research ABSTRACT ON ABEL CONVERGENT SERIES OF FUNCTIONS ERDAL GÜL AND MEHMET ALBAYRAK Yildiz Techical Uiversity, Departmet of Mathematics, 34210 Eseler, Istabul egul34@gmail.com mehmetalbayrak12@gmail.com I this

More information

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + 62. Power series Defiitio 16. (Power series) Give a sequece {c }, the series c x = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + is called a power series i the variable x. The umbers c are called the coefficiets of

More information

4x 2. (n+1) x 3 n+1. = lim. 4x 2 n+1 n3 n. n 4x 2 = lim = 3

4x 2. (n+1) x 3 n+1. = lim. 4x 2 n+1 n3 n. n 4x 2 = lim = 3 Exam Problems (x. Give the series (, fid the values of x for which this power series coverges. Also =0 state clearly what the radius of covergece is. We start by settig up the Ratio Test: x ( x x ( x x

More information

Final Solutions. 1. (25pts) Define the following terms. Be as precise as you can.

Final Solutions. 1. (25pts) Define the following terms. Be as precise as you can. Mathematics H104 A. Ogus Fall, 004 Fial Solutios 1. (5ts) Defie the followig terms. Be as recise as you ca. (a) (3ts) A ucoutable set. A ucoutable set is a set which ca ot be ut ito bijectio with a fiite

More information

Random Walks on Discrete and Continuous Circles. by Jeffrey S. Rosenthal School of Mathematics, University of Minnesota, Minneapolis, MN, U.S.A.

Random Walks on Discrete and Continuous Circles. by Jeffrey S. Rosenthal School of Mathematics, University of Minnesota, Minneapolis, MN, U.S.A. Radom Walks o Discrete ad Cotiuous Circles by Jeffrey S. Rosethal School of Mathematics, Uiversity of Miesota, Mieapolis, MN, U.S.A. 55455 (Appeared i Joural of Applied Probability 30 (1993), 780 789.)

More information

Math Solutions to homework 6

Math Solutions to homework 6 Math 175 - Solutios to homework 6 Cédric De Groote November 16, 2017 Problem 1 (8.11 i the book): Let K be a compact Hermitia operator o a Hilbert space H ad let the kerel of K be {0}. Show that there

More information

MAT1026 Calculus II Basic Convergence Tests for Series

MAT1026 Calculus II Basic Convergence Tests for Series MAT026 Calculus II Basic Covergece Tests for Series Egi MERMUT 202.03.08 Dokuz Eylül Uiversity Faculty of Sciece Departmet of Mathematics İzmir/TURKEY Cotets Mootoe Covergece Theorem 2 2 Series of Real

More information

1 Euler s idea: revisiting the infinitude of primes

1 Euler s idea: revisiting the infinitude of primes 8.785: Aalytic Number Theory, MIT, sprig 27 (K.S. Kedlaya) The prime umber theorem Most of my hadouts will come with exercises attached; see the web site for the due dates. (For example, these are due

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 21 11/27/2013

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 21 11/27/2013 MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 21 11/27/2013 Fuctioal Law of Large Numbers. Costructio of the Wieer Measure Cotet. 1. Additioal techical results o weak covergece

More information

f n (x) f m (x) < ɛ/3 for all x A. By continuity of f n and f m we can find δ > 0 such that d(x, x 0 ) < δ implies that

f n (x) f m (x) < ɛ/3 for all x A. By continuity of f n and f m we can find δ > 0 such that d(x, x 0 ) < δ implies that Lecture 15 We have see that a sequece of cotiuous fuctios which is uiformly coverget produces a limit fuctio which is also cotiuous. We shall stregthe this result ow. Theorem 1 Let f : X R or (C) be a

More information

The log-behavior of n p(n) and n p(n)/n

The log-behavior of n p(n) and n p(n)/n Ramauja J. 44 017, 81-99 The log-behavior of p ad p/ William Y.C. Che 1 ad Ke Y. Zheg 1 Ceter for Applied Mathematics Tiaji Uiversity Tiaji 0007, P. R. Chia Ceter for Combiatorics, LPMC Nakai Uivercity

More information

A PROOF OF THE WEIERSTRASS APPROXIMATION THEOREM FOR R k USING BINOMIAL DISTRIBUTIONS

A PROOF OF THE WEIERSTRASS APPROXIMATION THEOREM FOR R k USING BINOMIAL DISTRIBUTIONS A PROOF OF THE WEIERSTRASS APPROXIMATION THEOREM FOR R k USING BINOMIAL DISTRIBUTIONS BEN KORDESH Abstract. We relate the probabilistic proof of the Weierstrass Approximatio Theorem [Lev84] to the covolutio

More information

A) is empty. B) is a finite set. C) can be a countably infinite set. D) can be an uncountable set.

A) is empty. B) is a finite set. C) can be a countably infinite set. D) can be an uncountable set. M.A./M.Sc. (Mathematics) Etrace Examiatio 016-17 Max Time: hours Max Marks: 150 Istructios: There are 50 questios. Every questio has four choices of which exactly oe is correct. For correct aswer, 3 marks

More information

arxiv: v3 [math.nt] 24 Dec 2017

arxiv: v3 [math.nt] 24 Dec 2017 DOUGALL S 5 F SUM AND THE WZ-ALGORITHM Abstract. We show how to prove the examples of a paper by Chu ad Zhag usig the WZ-algorithm. arxiv:6.085v [math.nt] Dec 07 Keywords. Geeralized hypergeometric series;

More information

Gamma Distribution and Gamma Approximation

Gamma Distribution and Gamma Approximation Gamma Distributio ad Gamma Approimatio Xiaomig Zeg a Fuhua (Frak Cheg b a Xiame Uiversity, Xiame 365, Chia mzeg@jigia.mu.edu.c b Uiversity of Ketucky, Leigto, Ketucky 456-46, USA cheg@cs.uky.edu Abstract

More information

Enumerative & Asymptotic Combinatorics

Enumerative & Asymptotic Combinatorics C50 Eumerative & Asymptotic Combiatorics Stirlig ad Lagrage Sprig 2003 This sectio of the otes cotais proofs of Stirlig s formula ad the Lagrage Iversio Formula. Stirlig s formula Theorem 1 (Stirlig s

More information

Solutions to Tutorial 5 (Week 6)

Solutions to Tutorial 5 (Week 6) The Uiversity of Sydey School of Mathematics ad Statistics Solutios to Tutorial 5 (Wee 6 MATH2962: Real ad Complex Aalysis (Advaced Semester, 207 Web Page: http://www.maths.usyd.edu.au/u/ug/im/math2962/

More information

Orthogonal Dirichlet Polynomials with Arctangent Density

Orthogonal Dirichlet Polynomials with Arctangent Density Orthogoal Dirichlet Polyomials with Arctaget Desity Doro S. Lubisky School of Mathematics, Georgia Istitute of Techology, Atlata, GA 3033-060 USA. Abstract Let { j } j= be a strictly icreasig sequece of

More information

PLEASE MARK YOUR ANSWERS WITH AN X, not a circle! 1. (a) (b) (c) (d) (e) 3. (a) (b) (c) (d) (e) 5. (a) (b) (c) (d) (e) 7. (a) (b) (c) (d) (e)

PLEASE MARK YOUR ANSWERS WITH AN X, not a circle! 1. (a) (b) (c) (d) (e) 3. (a) (b) (c) (d) (e) 5. (a) (b) (c) (d) (e) 7. (a) (b) (c) (d) (e) Math 0560, Exam 3 November 6, 07 The Hoor Code is i effect for this examiatio. All work is to be your ow. No calculators. The exam lasts for hour ad 5 mi. Be sure that your ame is o every page i case pages

More information

A Challenging Test For Convergence Accelerators: Summation Of A Series With A Special Sign Pattern

A Challenging Test For Convergence Accelerators: Summation Of A Series With A Special Sign Pattern Applied Mathematics E-Notes, 6(006), 5-34 c ISSN 1607-510 Available free at mirror sites of http://www.math.thu.edu.tw/ ame/ A Challegig Test For Covergece Accelerators: Summatio Of A Series With A Special

More information

DANIELL AND RIEMANN INTEGRABILITY

DANIELL AND RIEMANN INTEGRABILITY DANIELL AND RIEMANN INTEGRABILITY ILEANA BUCUR We itroduce the otio of Riema itegrable fuctio with respect to a Daiell itegral ad prove the approximatio theorem of such fuctios by a mootoe sequece of Jorda

More information

Series III. Chapter Alternating Series

Series III. Chapter Alternating Series Chapter 9 Series III With the exceptio of the Null Sequece Test, all the tests for series covergece ad divergece that we have cosidered so far have dealt oly with series of oegative terms. Series with

More information

Section 11.8: Power Series

Section 11.8: Power Series Sectio 11.8: Power Series 1. Power Series I this sectio, we cosider geeralizig the cocept of a series. Recall that a series is a ifiite sum of umbers a. We ca talk about whether or ot it coverges ad i

More information

Bernoulli numbers and the Euler-Maclaurin summation formula

Bernoulli numbers and the Euler-Maclaurin summation formula Physics 6A Witer 006 Beroulli umbers ad the Euler-Maclauri summatio formula I this ote, I shall motivate the origi of the Euler-Maclauri summatio formula. I will also explai why the coefficiets o the right

More information

ECE 330:541, Stochastic Signals and Systems Lecture Notes on Limit Theorems from Probability Fall 2002

ECE 330:541, Stochastic Signals and Systems Lecture Notes on Limit Theorems from Probability Fall 2002 ECE 330:541, Stochastic Sigals ad Systems Lecture Notes o Limit Theorems from robability Fall 00 I practice, there are two ways we ca costruct a ew sequece of radom variables from a old sequece of radom

More information

Ma 530 Introduction to Power Series

Ma 530 Introduction to Power Series Ma 530 Itroductio to Power Series Please ote that there is material o power series at Visual Calculus. Some of this material was used as part of the presetatio of the topics that follow. What is a Power

More information

NEW FAST CONVERGENT SEQUENCES OF EULER-MASCHERONI TYPE

NEW FAST CONVERGENT SEQUENCES OF EULER-MASCHERONI TYPE UPB Sci Bull, Series A, Vol 79, Iss, 207 ISSN 22-7027 NEW FAST CONVERGENT SEQUENCES OF EULER-MASCHERONI TYPE Gabriel Bercu We itroduce two ew sequeces of Euler-Mascheroi type which have fast covergece

More information

WHAT ARE THE BERNOULLI NUMBERS? 1. Introduction

WHAT ARE THE BERNOULLI NUMBERS? 1. Introduction WHAT ARE THE BERNOULLI NUMBERS? C. D. BUENGER Abstract. For the "What is?" semiar today we will be ivestigatig the Beroulli umbers. This surprisig sequece of umbers has may applicatios icludig summig powers

More information

Comparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series

Comparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series Applied Mathematical Scieces, Vol. 7, 03, o. 6, 3-337 HIKARI Ltd, www.m-hikari.com http://d.doi.org/0.988/ams.03.3430 Compariso Study of Series Approimatio ad Covergece betwee Chebyshev ad Legedre Series

More information

y X F n (y), To see this, let y Y and apply property (ii) to find a sequence {y n } X such that y n y and lim sup F n (y n ) F (y).

y X F n (y), To see this, let y Y and apply property (ii) to find a sequence {y n } X such that y n y and lim sup F n (y n ) F (y). Modica Mortola Fuctioal 2 Γ-Covergece Let X, d) be a metric space ad cosider a sequece {F } of fuctioals F : X [, ]. We say that {F } Γ-coverges to a fuctioal F : X [, ] if the followig properties hold:

More information

1 Approximating Integrals using Taylor Polynomials

1 Approximating Integrals using Taylor Polynomials Seughee Ye Ma 8: Week 7 Nov Week 7 Summary This week, we will lear how we ca approximate itegrals usig Taylor series ad umerical methods. Topics Page Approximatig Itegrals usig Taylor Polyomials. Defiitios................................................

More information

7 Sequences of real numbers

7 Sequences of real numbers 40 7 Sequeces of real umbers 7. Defiitios ad examples Defiitio 7... A sequece of real umbers is a real fuctio whose domai is the set N of atural umbers. Let s : N R be a sequece. The the values of s are

More information

Lecture 3 The Lebesgue Integral

Lecture 3 The Lebesgue Integral Lecture 3: The Lebesgue Itegral 1 of 14 Course: Theory of Probability I Term: Fall 2013 Istructor: Gorda Zitkovic Lecture 3 The Lebesgue Itegral The costructio of the itegral Uless expressly specified

More information