Marcinkiwiecz-Zygmund Type Inequalities for all Arcs of the Circle

Size: px
Start display at page:

Download "Marcinkiwiecz-Zygmund Type Inequalities for all Arcs of the Circle"

Transcription

1 Marcikiwiecz-ygmud Type Iequalities for all Arcs of the Circle C.K. Kobidarajah ad D. S. Lubisky Mathematics Departmet, Easter Uiversity, Chekalady, Sri Laka; Mathematics Departmet, Georgia Istitute of Techology, Atlata, GA July 8, 003 Abstract We establish Marcikiewicz-ygmud Iequalities of the form X jp ( j )j p ( j j ) C jp ()j p d; j= valid for all trigoometric polyomials P of degree m, ad for = 0 < < ::: < =, uder appropriate spacig coditios. The emphasis is o uiformity i the legth of the iterval, irrespective of whether it is close to 0 or. We also establish weighted versios ivolvig doublig weights. Itroductio The classical Marcikiewicz-ygmud iequality has the form C jp ()j p d X k p P + C jp ()j p d; () 0 k=0 0

2 valid for all trigoometric polyomials P of degree. Here < p < ad C ad C are idepedet of P ad. This iequality is useful i studyig covergece of Lagrage iterpolatio, orthogoal expasios ad discretizatio of itegrals. It has also bee exteded i may directios. For example, Mastroiai ad Totik [6, p. 46] established a versio of the right-had iequality ivolvig doublig weights: X k=0 k k p W + P + C 0 jp ()j p W () d: () Here W is a doublig weight. That is, there is a costat L > 0 such that if I is ay iterval, ad I is the cocetric iterval with double the legth, the W L W: I The smallest such L, idepedet of I, is called the doublig costat. Moreover, + W () = W: (3) Geeralized Jacobi weights are doublig weights, ad so are may others. Thus Mastroiai ad Totik greatly exteded the scope of earlier iequalities. They also allowed o-equally spaced poits ad trigoometric polyomials of degree C. See [7] ad [4] for surveys of Marcikiewicz-ygmud Iequalities. The large sieve of umber theory is closely related to (). Oe formulatio of it is [, p. 08] jp ( j )j p " ( j ) C k= I jp ()j p d; (4) with C idepedet of m; ; P; p; ; ; f j g. Here P is a trigoometric polyomial of degree ; " " () = # = p + si si + p + while 0 < < ::: < m ;

3 0 < p < ad m. The parameter is a measure of the umber of j i small itervals, give by = max jfj : j [ " () ; + " ()]gj : [;] We ote that i [] P could be a geeralized trigoometric polyomial, ot just a ordiary trigoometric polyomial. The key achievemet there was idepedece of the size of [; ] as shriks to 0. The oe drawback of the result is that as [; ] approaches [0; ], we do ot recover the usual Marcikiewicz iequality for [0; ], for the case of equally spaced poits. For the full iterval [0; ], this shortcomig ca be repaired by two applicatio of (4), but for itervals [; ] close to [0; ], it is ot clear how to derive a uiform result. I this paper, we preset a versio of (4), which will have the correct form for all choices of [; ] - whether is very small or close to. We ca do this usig a Berstei iequality of the authors, which is sharp i order for all arcs o the circle, or equivaletly, all subitervals of [0; ] [3]. The drawback, however, is that we obtai iequalities oly for p >, ad for trigoometric polyomials, ot geeralized trigoometric polyomials. We prove: Theorem Let 0 < ad for, de e " () = 6 si 4 cos si + + Let K, m ; p < ad satisfy = ; [; ] : (5) = 0 < < < ::: < m+ = (6) j+ j K" ( j ) ; j = 0; ; ; :::; m: (7) The for all trigoometric polyomials P of degree K; jp ( j )j p ( j+ 3 j ) C jp j p ; (8)

4 where C is idepedet of ; m; ; ; f j g ad P. The essetial feature is the uiformity i [; ], irrespective of whether is small or close to. Thus as [; ] approaches [0; ], we see that " " ()! si + # si + ad the right-had side lies betwee ad (), so we recover the form of the classical Marcikiewicz-ygmud iequality. O the other had for ay ;, we have " " () # = si si + : (9) ad so the large sieve iequality (4) is implied by Theorem, with appropriate chage of otatio. We shall also prove a result ivolvig doublig weights, by usig a iequality of Erdelyi []. For simplicity we formulate it oly o itervals of the form [!;!], where! <, to coform with Erdelyi. Thus its chief use is o small itervals. We also itroduce the otatio ad " () =! +! si si + W () = () +() () # =! (0) W (y) dy: () This is a extesio of the otatio W used by Mastroiai, Totik, Erdelyi ad others, from costat icremet to a variable icremet () : Theorem Let 0! <. Let W : [!;!]! R be such that W (! cos t) is a doublig weight o [0; ] : Let K, m ; p < ad! = 0 < < < ::: < m =! () satisfy j+ j K ( j ) ; j = 0; ; ; :::; m: (3) 4

5 The for all trigoometric polyomials P of degree K; W ( j ) jp ( j )j p ( j+ j ) C jp j p W; where C is idepedet of ; m; ; ; f j g ad P. The proofs are preseted i the ext two sectios. Ackowledgemet C K Kobidarajah ackowledges the support of the Coferece Orgaisers that made attedace of the coferece possible. Both authors thak the orgaisers for the excellet coferece. The Proof of Theorem We use Nevai s method [8] for establishig such iequalities together with the Berstei iequality jp 0 " j p C jp j p ; (4) valid for all trigoometric polyomials P of degree [3, p. 345]. We also ote the iequality [3, p.355, Lemma 3.(c)] that e i e i 8 " () ) " () " () 3 : (The otatio there is a little di eret). A little re ectio the shows that, give K ; there exists L > such that o j j mi ; K" () ) L " () " () Here L > depeds o o K (ot o ; ; ). L. (5) Proof of Theorem Let us assume (6) ad (7). Fix 0 j m ad choose s [ j ; j+ ] such that jp (s)j = mi jp j : [ j ; j+ ] 5

6 The so jp ( j )j p = jp (s)j p + j s d d jp ()jp d; (6) jp ( j )j p ( j+ j ) mi jp j p ( j+ j ) + K" ( j ) [ j ; j+ ] j+ j jp j p + C j+ j jp j p jp 0 j " ; j+ j p jp j p jp 0 j by rst (7) ad the (5), with C idepedet of P; ; j; :::. Addig over j, followed by Hölder s iequality ad our Berstei iequality (4) give as desired. jp ( j )j p ( j+ j ) C jp j p + C jp j p + C jp j p ; jp j p jp 0 j " p jp j p p jp 0 j p " p p 3 Proof of Theorem We begi by presetig some backgroud: (I) A trasformatio of [ ; ] oto [!;!] : Let us de e, as did Erdelyi, a trasformatio L (t) = arcsi [(si!) (cos t)] ; t [ ; ] : It maps [0; ] (ad [ ; 0]) oto [!;!]. Observe that si L (t) = (si!) (cos t) 6

7 ad sice L (t) [!;!] ; ; L 0 (t) = (si!) (si t) cos L (t) (si!) (si t) ; uiformly i! 0; ad t [ ; ]. The otatio is i the sese stadard i orthogoal polyomials: the ratio of the two sides is bouded above ad below by positive costats idepedet of! ad t. (There are trivial modi catios if both sides vaish). Similar otatio will be used for sequeces ad sequeces of fuctios. We also the have s si L (t) jl 0 (t)j (si!) si! recall (0). Moreover, we have uiformly i! ad t such that = p jsi (L (t)!) si (L (t) +!)j s L (t)! L (t) +! si si C (L (t)) ; (7) jl 0 (t)j (L (t)) (8)! jl (t)j! : (9) (II) Trasform the f j g ito ft j g. Sice L is strictly icreasig o [ ; 0], it has a strictly icreasig iverse L [ ] that maps [!;!] oto [0; ]. So give f j g as i (), we ca de e t j = L [ ] ( j ), j = L (t j ) : We shall frequetly use the fact that give C, there exists C > 0 such that j j C () ) () C () C : (0) For a proof of this, see [5, p. ], ad apply the iequality there several times. This ad (8) also show that L 0 does ot grow by faster tha a 7

8 costat multiple i correspodigly small itervals. Usig the mea value theorem, we see that for some betwee t j ad t j+, ad moreover, j+ j = L 0 () (t j+ t j ) C ( j ) (t j+ t j ) ; () j+ j L 0 (t j ) (t j+ t j ) ( j ) (t j+ t j ) () uiformly i j (ad m; ; ; ) such that (0) holds for t = t j. From our spacig restrictio (3) o the f j g, we deduce that uiformly i j (ad m; ; :::), t j+ t j C : (3) (Oe eeds a mior modi catio to this argumet for t j close to!, violatig (9)). (III) The relatio betwee W ad W ;! Let us de e, as did Erdelyi, ad W! (t) = W (L (t)) t+ W!; (t) = t W! : Erdelyi otes that W ;! is a doublig weight with costat idepedet of, depedig oly o the doublig costat of W (! cos t). Moreover, because of the spacig (3) o the ft j g, we have uiformly i j Next, from (), Here W ( j ) = () W!; (t) W!; (t j ) ; t [t j ; t j+ ] : L [ ] ( j + ( j )) L [ ] ( j ( j )) W (L (t)) L 0 (t) dt: L [ ] ( j ( j )) = L [ ] ] dl[ ( j ) ( j ) ( j ) () = t j d L 0 (L [ ] ()) ; 8

9 where is betwee j ad j ( j ). Usig (8), (0) ad (), we see that L [ ] ( j ( j )) = t j + O ; uiformly i j. From (8) ad (0) ad the doublig properties, we obtai tj + W ( j ) W! = W ;! (t j ) W ;! (t) ; t [t j ; t j+ ] : (4) t j We are ow ready for the Proof of Theorem As i the proof of Theorem, we obtai jp ( j )j p = jp (L (t j ))j p mi jp Lj p + [t j ;t j+ ] tj+ t j p jp Lj p jp 0 Lj L 0 : Now we use the spacig (3), (0), (), ad the fact that W ;!,, ad L 0 do ot chage much i small itervals (i the form (8), (0), (4)) to deduce that W ( j ) jp ( j )j p ( j+ j ) C tj+ t j jp (L (t))j p W ;! (t) L 0 (t) dt + C tj+ t j jp Lj p j(p 0 ) Lj W ;! L 0 ; with C idepedet of P; j; ; m; :::. Add over j : W ( j ) jp ( j )j p ( j+ j ) C C jp (L (t))j p W ;! (t) L 0 (t) dt + C jp (L (t))j p W ;! (t) L 0 (t) dt +C jp Lj p W ;! L 0 p jp Lj p j(p 0 ) Lj W ;! L 0 j(p 0 ) Lj p W ;! L 0 =p ; 9

10 by Hölder s iequality. Usig Erdelyi s Berstei iequality i the form (.9) i [, p. 334], with appropriate chages of otatio, we have j(p 0 ) Lj p W ;! L 0 C jp Lj p W ;! L 0 ad hece we have show that W ( j ) jp ( j )j p ( j+ j ) C jp (L (t))j p W ;! (t) L 0 (t) dt: Usig Theorem. i [, p. 33], we ca replace W ;! i the last right-had side by W!, so we ca cotiue this as W ( j ) jp ( j )j p ( j+ j ) C = C!! jp (L (t))j p W! (t) L 0 (t) dt jp j p W: Refereces [] T. Erdelyi, Markov-Berstei-Type Iequality for Tigoometric Polyomials with Respect to Doublig Weights, Costr. Approx., 9(003), [] L. Goliskii, D.S. Lubisky ad P Nevai, Large Sieve Estimates o Arcs of a Circle, J. Number Theory, 9(00), [3] C.K. Kobidarajah ad D.S. Lubisky, L p Markov-Berstei Iequalities o All Arcs of the Circle, J. Approx. Theory, 6(00), [4] D. S. Lubisky, Marcikiewicz-ygmud Iequalities: methods ad results, (i) Recet Progress i Iequalities (ed. G. Milovaovic et al.), Kluwer Academic Publishers, Dordrecht, 998, pp [5] D.S. Lubisky, L p Markov-Berstei Iequalities o Arcs of the Circle, J. Approx. Theory, 08(00), -7. 0

11 [6] G. Mastroiai, V. Totik, Weighted Polyomial Iequalities with Doublig ad A Weights, Costr. Approx., 6(000), [7] G. Mastroiai, M.G. Russo, Weighted Marcikiewicz Iequalities ad Boudedess of the Lagrage Operator, (i) Mathematical Aalysis ad Applicatios, (ed. T.M. Rassias), Hadroic Press, Palm Harbor, Fl, 999, pp [8] P. Nevai, Orthogoal Polyomials, Memoirs of the America Mathematical Society, Providece, Rhode Islad, 979.

Smallest Eigenvalues of Hankel Matrices for Exponential Weights

Smallest Eigenvalues of Hankel Matrices for Exponential Weights Smallest Eigevalues of Hakel Matrices for Expoetial Weights Y. Che ad D.S. Lubisky Departmet of Mathematics Imperial College 8 Quee s Gate Lodo SW7 B Eglad y.che@ic.ac.uk The School of Mathematics Georgia

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

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

ON RECURRENCE COEFFICIENTS FOR RAPIDLY DECREASING EXPONENTIAL WEIGHTS

ON RECURRENCE COEFFICIENTS FOR RAPIDLY DECREASING EXPONENTIAL WEIGHTS ON RECURRENCE COEFFICIENTS FOR RAPIDLY DECREASING EXPONENTIAL WEIGHTS E. LEVIN, D. S. LUBINSKY Abstract. Let, for example, W (x) = exp exp k x, x [ ] where > 0, k ad exp k = exp (exp ( exp ())) deotes

More information

The Degree of Shape Preserving Weighted Polynomial Approximation

The Degree of Shape Preserving Weighted Polynomial Approximation The Degree of Shape Preservig eighted Polyomial Approximatio Day Leviata School of Mathematical Scieces, Tel Aviv Uiversity, Tel Aviv, Israel Doro S Lubisky School of Mathematics, Georgia Istitute of Techology,

More information

OFF-DIAGONAL MULTILINEAR INTERPOLATION BETWEEN ADJOINT OPERATORS

OFF-DIAGONAL MULTILINEAR INTERPOLATION BETWEEN ADJOINT OPERATORS OFF-DIAGONAL MULTILINEAR INTERPOLATION BETWEEN ADJOINT OPERATORS LOUKAS GRAFAKOS AND RICHARD G. LYNCH 2 Abstract. We exted a theorem by Grafakos ad Tao [5] o multiliear iterpolatio betwee adjoit operators

More information

For a carefully chose system of odes := f ; ; :::; g; ; our results imply i particular, that the Lebesgue costat k (W k; ; )k L (R) satises uiformly f

For a carefully chose system of odes := f ; ; :::; g; ; our results imply i particular, that the Lebesgue costat k (W k; ; )k L (R) satises uiformly f The Lebesgue fuctio ad Lebesgue costat of Lagrage Iterpolatio for Erd}os Weights S. B. Dameli Jauary, 5 Jauary 997 bstract We establish poitwise as well as uiform estimates for Lebesgue fuctios associated

More information

Weighted Approximation by Videnskii and Lupas Operators

Weighted Approximation by Videnskii and Lupas Operators Weighted Approximatio by Videsii ad Lupas Operators Aif Barbaros Dime İstabul Uiversity Departmet of Egieerig Sciece April 5, 013 Aif Barbaros Dime İstabul Uiversity Departmet Weightedof Approximatio Egieerig

More information

TR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT

TR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT TR/46 OCTOBER 974 THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION by A. TALBOT .. Itroductio. A problem i approximatio theory o which I have recetly worked [] required for its solutio a proof that the

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

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

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

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

Math 2784 (or 2794W) University of Connecticut

Math 2784 (or 2794W) University of Connecticut ORDERS OF GROWTH PAT SMITH Math 2784 (or 2794W) Uiversity of Coecticut Date: Mar. 2, 22. ORDERS OF GROWTH. Itroductio Gaiig a ituitive feel for the relative growth of fuctios is importat if you really

More information

Advanced Analysis. Min Yan Department of Mathematics Hong Kong University of Science and Technology

Advanced Analysis. Min Yan Department of Mathematics Hong Kong University of Science and Technology Advaced Aalysis Mi Ya Departmet of Mathematics Hog Kog Uiversity of Sciece ad Techology September 3, 009 Cotets Limit ad Cotiuity 7 Limit of Sequece 8 Defiitio 8 Property 3 3 Ifiity ad Ifiitesimal 8 4

More information

where x R ad W is a xed weight fuctio. Frequetly, the fuctio I[f; ] is called the Hilbert trasform of W f. We assume the weight fuctio W to be of Freu

where x R ad W is a xed weight fuctio. Frequetly, the fuctio I[f; ] is called the Hilbert trasform of W f. We assume the weight fuctio W to be of Freu Iterpolatory Product Quadratures for Cauchy Pricipal Value Itegrals with Freud Weights S. B. Dameli Ceter for Applicable Aalysis ad Number Theory, Uiversity of the Witwatersrad, P. O. Wits 050, Republic

More information

International Journal of Mathematical Archive-3(4), 2012, Page: Available online through ISSN

International Journal of Mathematical Archive-3(4), 2012, Page: Available online through  ISSN Iteratioal Joural of Mathematical Archive-3(4,, Page: 544-553 Available olie through www.ima.ifo ISSN 9 546 INEQUALITIES CONCERNING THE B-OPERATORS N. A. Rather, S. H. Ahager ad M. A. Shah* P. G. Departmet

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

COMMON FIXED POINT THEOREMS VIA w-distance

COMMON FIXED POINT THEOREMS VIA w-distance Bulleti of Mathematical Aalysis ad Applicatios ISSN: 1821-1291, URL: http://www.bmathaa.org Volume 3 Issue 3, Pages 182-189 COMMON FIXED POINT THEOREMS VIA w-distance (COMMUNICATED BY DENNY H. LEUNG) SUSHANTA

More information

If a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero?

If a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero? 2 Lebesgue Measure I Chapter 1 we defied the cocept of a set of measure zero, ad we have observed that every coutable set is of measure zero. Here are some atural questios: If a subset E of R cotais a

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

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

UPPER ESTIMATE FOR GENERAL COMPLEX BASKAKOV SZÁSZ OPERATOR. 1. Introduction

UPPER ESTIMATE FOR GENERAL COMPLEX BASKAKOV SZÁSZ OPERATOR. 1. Introduction Joural of Classical Aalysis Volume 7, Number 1 2015, 17 23 doi:10.7153/jca-07-02 UPPER ESTIMATE FOR GENERAL COMPLEX BASKAKOV SZÁSZ OPERATOR VIJAY GUPTA AND GANCHO TACHEV Abstract. I the preset article,

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

Mi-Hwa Ko and Tae-Sung Kim

Mi-Hwa Ko and Tae-Sung Kim J. Korea Math. Soc. 42 2005), No. 5, pp. 949 957 ALMOST SURE CONVERGENCE FOR WEIGHTED SUMS OF NEGATIVELY ORTHANT DEPENDENT RANDOM VARIABLES Mi-Hwa Ko ad Tae-Sug Kim Abstract. For weighted sum of a sequece

More information

ON BLEIMANN, BUTZER AND HAHN TYPE GENERALIZATION OF BALÁZS OPERATORS

ON BLEIMANN, BUTZER AND HAHN TYPE GENERALIZATION OF BALÁZS OPERATORS STUDIA UNIV. BABEŞ BOLYAI, MATHEMATICA, Volume XLVII, Number 4, December 2002 ON BLEIMANN, BUTZER AND HAHN TYPE GENERALIZATION OF BALÁZS OPERATORS OGÜN DOĞRU Dedicated to Professor D.D. Stacu o his 75

More information

Journal of Multivariate Analysis. Superefficient estimation of the marginals by exploiting knowledge on the copula

Journal of Multivariate Analysis. Superefficient estimation of the marginals by exploiting knowledge on the copula Joural of Multivariate Aalysis 102 (2011) 1315 1319 Cotets lists available at ScieceDirect Joural of Multivariate Aalysis joural homepage: www.elsevier.com/locate/jmva Superefficiet estimatio of the margials

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

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

On an Operator Preserving Inequalities between Polynomials

On an Operator Preserving Inequalities between Polynomials Applied Mathematics 3 557-563 http://dxdoiorg/436/am3685 ublished Olie Jue (http://wwwscirorg/joural/am) O a Operator reservig Iequalities betwee olyomials Nisar Ahmad Rather Mushtaq Ahmad Shah Mohd Ibrahim

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

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

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

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

SOME TRIGONOMETRIC IDENTITIES RELATED TO POWERS OF COSINE AND SINE FUNCTIONS

SOME TRIGONOMETRIC IDENTITIES RELATED TO POWERS OF COSINE AND SINE FUNCTIONS Folia Mathematica Vol. 5, No., pp. 4 6 Acta Uiversitatis Lodziesis c 008 for Uiversity of Lódź Press SOME TRIGONOMETRIC IDENTITIES RELATED TO POWERS OF COSINE AND SINE FUNCTIONS ROMAN WITU LA, DAMIAN S

More information

PAPER : IIT-JAM 2010

PAPER : IIT-JAM 2010 MATHEMATICS-MA (CODE A) Q.-Q.5: Oly oe optio is correct for each questio. Each questio carries (+6) marks for correct aswer ad ( ) marks for icorrect aswer.. Which of the followig coditios does NOT esure

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

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

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

A collocation method for singular integral equations with cosecant kernel via Semi-trigonometric interpolation

A collocation method for singular integral equations with cosecant kernel via Semi-trigonometric interpolation Iteratioal Joural of Mathematics Research. ISSN 0976-5840 Volume 9 Number 1 (017) pp. 45-51 Iteratioal Research Publicatio House http://www.irphouse.com A collocatio method for sigular itegral equatios

More information

It is often useful to approximate complicated functions using simpler ones. We consider the task of approximating a function by a polynomial.

It is often useful to approximate complicated functions using simpler ones. We consider the task of approximating a function by a polynomial. Taylor Polyomials ad Taylor Series It is ofte useful to approximate complicated fuctios usig simpler oes We cosider the task of approximatig a fuctio by a polyomial If f is at least -times differetiable

More information

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense,

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense, 3. Z Trasform Referece: Etire Chapter 3 of text. Recall that the Fourier trasform (FT) of a DT sigal x [ ] is ω ( ) [ ] X e = j jω k = xe I order for the FT to exist i the fiite magitude sese, S = x [

More information

Riesz-Fischer Sequences and Lower Frame Bounds

Riesz-Fischer Sequences and Lower Frame Bounds Zeitschrift für Aalysis ud ihre Aweduge Joural for Aalysis ad its Applicatios Volume 1 (00), No., 305 314 Riesz-Fischer Sequeces ad Lower Frame Bouds P. Casazza, O. Christese, S. Li ad A. Lider Abstract.

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

An Introduction to Randomized Algorithms

An Introduction to Randomized Algorithms A Itroductio to Radomized Algorithms The focus of this lecture is to study a radomized algorithm for quick sort, aalyze it usig probabilistic recurrece relatios, ad also provide more geeral tools for aalysis

More information

A Hadamard-type lower bound for symmetric diagonally dominant positive matrices

A Hadamard-type lower bound for symmetric diagonally dominant positive matrices A Hadamard-type lower boud for symmetric diagoally domiat positive matrices Christopher J. Hillar, Adre Wibisoo Uiversity of Califoria, Berkeley Jauary 7, 205 Abstract We prove a ew lower-boud form of

More information

Limit distributions for products of sums

Limit distributions for products of sums Statistics & Probability Letters 62 (23) 93 Limit distributios for products of sums Yogcheg Qi Departmet of Mathematics ad Statistics, Uiversity of Miesota-Duluth, Campus Ceter 4, 7 Uiversity Drive, Duluth,

More information

Discrete Orthogonal Moment Features Using Chebyshev Polynomials

Discrete Orthogonal Moment Features Using Chebyshev Polynomials Discrete Orthogoal Momet Features Usig Chebyshev Polyomials R. Mukuda, 1 S.H.Og ad P.A. Lee 3 1 Faculty of Iformatio Sciece ad Techology, Multimedia Uiversity 75450 Malacca, Malaysia. Istitute of Mathematical

More information

THE REPRESENTATION OF THE REMAINDER IN CLASSICAL BERNSTEIN APPROXIMATION FORMULA

THE REPRESENTATION OF THE REMAINDER IN CLASSICAL BERNSTEIN APPROXIMATION FORMULA Global Joural of Advaced Research o Classical ad Moder Geometries ISSN: 2284-5569, Vol.6, 2017, Issue 2, pp.119-125 THE REPRESENTATION OF THE REMAINDER IN CLASSICAL BERNSTEIN APPROXIMATION FORMULA DAN

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

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

Modified Decomposition Method by Adomian and. Rach for Solving Nonlinear Volterra Integro- Differential Equations

Modified Decomposition Method by Adomian and. Rach for Solving Nonlinear Volterra Integro- Differential Equations Noliear Aalysis ad Differetial Equatios, Vol. 5, 27, o. 4, 57-7 HIKARI Ltd, www.m-hikari.com https://doi.org/.2988/ade.27.62 Modified Decompositio Method by Adomia ad Rach for Solvig Noliear Volterra Itegro-

More information

BIRKHOFF ERGODIC THEOREM

BIRKHOFF ERGODIC THEOREM BIRKHOFF ERGODIC THEOREM Abstract. We will give a proof of the poitwise ergodic theorem, which was first proved by Birkhoff. May improvemets have bee made sice Birkhoff s orgial proof. The versio we give

More information

7.1 Convergence of sequences of random variables

7.1 Convergence of sequences of random variables Chapter 7 Limit Theorems Throughout this sectio we will assume a probability space (, F, P), i which is defied a ifiite sequece of radom variables (X ) ad a radom variable X. The fact that for every ifiite

More information

Sequences of Definite Integrals, Factorials and Double Factorials

Sequences of Definite Integrals, Factorials and Double Factorials 47 6 Joural of Iteger Sequeces, Vol. 8 (5), Article 5.4.6 Sequeces of Defiite Itegrals, Factorials ad Double Factorials Thierry Daa-Picard Departmet of Applied Mathematics Jerusalem College of Techology

More information

Self-normalized deviation inequalities with application to t-statistic

Self-normalized deviation inequalities with application to t-statistic Self-ormalized deviatio iequalities with applicatio to t-statistic Xiequa Fa Ceter for Applied Mathematics, Tiaji Uiversity, 30007 Tiaji, Chia Abstract Let ξ i i 1 be a sequece of idepedet ad symmetric

More information

lecture 3: Interpolation Error Bounds

lecture 3: Interpolation Error Bounds 6 lecture 3: Iterpolatio Error Bouds.6 Covergece Theory for Polyomial Iterpolatio Iterpolatio ca be used to geerate low-degree polyomials that approimate a complicated fuctio over the iterval [a, b]. Oe

More information

A GRÜSS TYPE INEQUALITY FOR SEQUENCES OF VECTORS IN NORMED LINEAR SPACES AND APPLICATIONS

A GRÜSS TYPE INEQUALITY FOR SEQUENCES OF VECTORS IN NORMED LINEAR SPACES AND APPLICATIONS A GRÜSS TYPE INEQUALITY FOR SEQUENCES OF VECTORS IN NORMED LINEAR SPACES AND APPLICATIONS S. S. DRAGOMIR Abstract. A discrete iequality of Grüss type i ormed liear spaces ad applicatios for the discrete

More information

ENGI Series Page 6-01

ENGI Series Page 6-01 ENGI 3425 6 Series Page 6-01 6. Series Cotets: 6.01 Sequeces; geeral term, limits, covergece 6.02 Series; summatio otatio, covergece, divergece test 6.03 Stadard Series; telescopig series, geometric series,

More information

Chapter 4. Fourier Series

Chapter 4. Fourier Series Chapter 4. Fourier Series At this poit we are ready to ow cosider the caoical equatios. Cosider, for eample the heat equatio u t = u, < (4.) subject to u(, ) = si, u(, t) = u(, t) =. (4.) Here,

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

Basics of Probability Theory (for Theory of Computation courses)

Basics of Probability Theory (for Theory of Computation courses) Basics of Probability Theory (for Theory of Computatio courses) Oded Goldreich Departmet of Computer Sciece Weizma Istitute of Sciece Rehovot, Israel. oded.goldreich@weizma.ac.il November 24, 2008 Preface.

More information

TRIGONOMETRIC POLYNOMIALS WITH MANY REAL ZEROS AND A LITTLEWOOD-TYPE PROBLEM. Peter Borwein and Tamás Erdélyi. 1. Introduction

TRIGONOMETRIC POLYNOMIALS WITH MANY REAL ZEROS AND A LITTLEWOOD-TYPE PROBLEM. Peter Borwein and Tamás Erdélyi. 1. Introduction TRIGONOMETRIC POLYNOMIALS WITH MANY REAL ZEROS AND A LITTLEWOOD-TYPE PROBLEM Peter Borwei ad Tamás Erdélyi Abstract. We examie the size of a real trigoometric polyomial of degree at most havig at least

More information

Absolute Boundedness and Absolute Convergence in Sequence Spaces* Martin Buntinas and Naza Tanović Miller

Absolute Boundedness and Absolute Convergence in Sequence Spaces* Martin Buntinas and Naza Tanović Miller Absolute Boudedess ad Absolute Covergece i Sequece Spaces* Marti Butias ad Naza Taović Miller 1 Itroductio We maily use stadard otatio as give i sectio 2 For a F K space E, various forms of sectioal boudedess

More information

Central limit theorem and almost sure central limit theorem for the product of some partial sums

Central limit theorem and almost sure central limit theorem for the product of some partial sums Proc. Idia Acad. Sci. Math. Sci. Vol. 8, No. 2, May 2008, pp. 289 294. Prited i Idia Cetral it theorem ad almost sure cetral it theorem for the product of some partial sums YU MIAO College of Mathematics

More information

Law of the sum of Bernoulli random variables

Law of the sum of Bernoulli random variables Law of the sum of Beroulli radom variables Nicolas Chevallier Uiversité de Haute Alsace, 4, rue des frères Lumière 68093 Mulhouse icolas.chevallier@uha.fr December 006 Abstract Let be the set of all possible

More information

Riemann Sums y = f (x)

Riemann Sums y = f (x) Riema Sums Recall that we have previously discussed the area problem I its simplest form we ca state it this way: The Area Problem Let f be a cotiuous, o-egative fuctio o the closed iterval [a, b] Fid

More information

Notes for Lecture 11

Notes for Lecture 11 U.C. Berkeley CS78: Computatioal Complexity Hadout N Professor Luca Trevisa 3/4/008 Notes for Lecture Eigevalues, Expasio, ad Radom Walks As usual by ow, let G = (V, E) be a udirected d-regular graph 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

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

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

Minimal surface area position of a convex body is not always an M-position

Minimal surface area position of a convex body is not always an M-position Miimal surface area positio of a covex body is ot always a M-positio Christos Saroglou Abstract Milma proved that there exists a absolute costat C > 0 such that, for every covex body i R there exists a

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

Example 2. Find the upper bound for the remainder for the approximation from Example 1.

Example 2. Find the upper bound for the remainder for the approximation from Example 1. Lesso 8- Error Approimatios 0 Alteratig Series Remaider: For a coverget alteratig series whe approimatig the sum of a series by usig oly the first terms, the error will be less tha or equal to the absolute

More information

INEQUALITIES BJORN POONEN

INEQUALITIES BJORN POONEN INEQUALITIES BJORN POONEN 1 The AM-GM iequality The most basic arithmetic mea-geometric mea (AM-GM) iequality states simply that if x ad y are oegative real umbers, the (x + y)/2 xy, with equality if ad

More information

CANTOR SETS WHICH ARE MINIMAL FOR QUASISYMMETRIC MAPS

CANTOR SETS WHICH ARE MINIMAL FOR QUASISYMMETRIC MAPS CANTOR SETS WHICH ARE MINIMAL FOR QUASISYMMETRIC MAPS HRANT A. HAKOBYAN Abstract. We show that middle iterval Cator sets of Hausdorff dimesio are miimal for quasisymmetric maps of a lie. Combiig this with

More information

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j The -Trasform 7. Itroductio Geeralie the complex siusoidal represetatio offered by DTFT to a represetatio of complex expoetial sigals. Obtai more geeral characteristics for discrete-time LTI systems. 7.

More information

1.3 Convergence Theorems of Fourier Series. k k k k. N N k 1. With this in mind, we state (without proof) the convergence of Fourier series.

1.3 Convergence Theorems of Fourier Series. k k k k. N N k 1. With this in mind, we state (without proof) the convergence of Fourier series. .3 Covergece Theorems of Fourier Series I this sectio, we preset the covergece of Fourier series. A ifiite sum is, by defiitio, a limit of partial sums, that is, a cos( kx) b si( kx) lim a cos( kx) b si(

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

Numerical Solution of the Two Point Boundary Value Problems By Using Wavelet Bases of Hermite Cubic Spline Wavelets

Numerical Solution of the Two Point Boundary Value Problems By Using Wavelet Bases of Hermite Cubic Spline Wavelets Australia Joural of Basic ad Applied Scieces, 5(): 98-5, ISSN 99-878 Numerical Solutio of the Two Poit Boudary Value Problems By Usig Wavelet Bases of Hermite Cubic Splie Wavelets Mehdi Yousefi, Hesam-Aldie

More information

arxiv: v1 [math.fa] 3 Apr 2016

arxiv: v1 [math.fa] 3 Apr 2016 Aticommutator Norm Formula for Proectio Operators arxiv:164.699v1 math.fa] 3 Apr 16 Sam Walters Uiversity of Norther British Columbia ABSTRACT. We prove that for ay two proectio operators f, g o Hilbert

More information

1 6 = 1 6 = + Factorials and Euler s Gamma function

1 6 = 1 6 = + Factorials and Euler s Gamma function Royal Holloway Uiversity of Lodo Departmet of Physics Factorials ad Euler s Gamma fuctio Itroductio The is a self-cotaied part of the course dealig, essetially, with the factorial fuctio ad its geeralizatio

More information

On Random Line Segments in the Unit Square

On Random Line Segments in the Unit Square O Radom Lie Segmets i the Uit Square Thomas A. Courtade Departmet of Electrical Egieerig Uiversity of Califoria Los Ageles, Califoria 90095 Email: tacourta@ee.ucla.edu I. INTRODUCTION Let Q = [0, 1] [0,

More information

Random Matrices with Blocks of Intermediate Scale Strongly Correlated Band Matrices

Random Matrices with Blocks of Intermediate Scale Strongly Correlated Band Matrices Radom Matrices with Blocks of Itermediate Scale Strogly Correlated Bad Matrices Jiayi Tog Advisor: Dr. Todd Kemp May 30, 07 Departmet of Mathematics Uiversity of Califoria, Sa Diego Cotets Itroductio Notatio

More information

A Simplified Binet Formula for k-generalized Fibonacci Numbers

A Simplified Binet Formula for k-generalized Fibonacci Numbers A Simplified Biet Formula for k-geeralized Fiboacci Numbers Gregory P. B. Dresde Departmet of Mathematics Washigto ad Lee Uiversity Lexigto, VA 440 dresdeg@wlu.edu Zhaohui Du Shaghai, Chia zhao.hui.du@gmail.com

More information

Asymptotic distribution of products of sums of independent random variables

Asymptotic distribution of products of sums of independent random variables Proc. Idia Acad. Sci. Math. Sci. Vol. 3, No., May 03, pp. 83 9. c Idia Academy of Scieces Asymptotic distributio of products of sums of idepedet radom variables YANLING WANG, SUXIA YAO ad HONGXIA DU ollege

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

SEMIGROUPS. D. Pfeifer. Communicated by Jerome A. Goldstein Dedicated to E.S. Lyapin on his 70th Birthday

SEMIGROUPS. D. Pfeifer. Communicated by Jerome A. Goldstein Dedicated to E.S. Lyapin on his 70th Birthday A NOTE ON ~ROBABILISTIC REPRESENTATIONS OF OPERATOR SEMIGROUPS D. Pfeifer Commuicated by Jerome A. Goldstei Dedicated to E.S. Lyapi o his 70th Birthday I the theory of strogly cotiuous semigroups of bouded

More information

Optimally Sparse SVMs

Optimally Sparse SVMs A. Proof of Lemma 3. We here prove a lower boud o the umber of support vectors to achieve geeralizatio bouds of the form which we cosider. Importatly, this result holds ot oly for liear classifiers, but

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

Theorem 3. A subset S of a topological space X is compact if and only if every open cover of S by open sets in X has a finite subcover.

Theorem 3. A subset S of a topological space X is compact if and only if every open cover of S by open sets in X has a finite subcover. Compactess Defiitio 1. A cover or a coverig of a topological space X is a family C of subsets of X whose uio is X. A subcover of a cover C is a subfamily of C which is a cover of X. A ope cover of X is

More information

CHAPTER 10 INFINITE SEQUENCES AND SERIES

CHAPTER 10 INFINITE SEQUENCES AND SERIES CHAPTER 10 INFINITE SEQUENCES AND SERIES 10.1 Sequeces 10.2 Ifiite Series 10.3 The Itegral Tests 10.4 Compariso Tests 10.5 The Ratio ad Root Tests 10.6 Alteratig Series: Absolute ad Coditioal Covergece

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 19 11/17/2008 LAWS OF LARGE NUMBERS II THE STRONG LAW OF LARGE NUMBERS

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 19 11/17/2008 LAWS OF LARGE NUMBERS II THE STRONG LAW OF LARGE NUMBERS MASSACHUSTTS INSTITUT OF TCHNOLOGY 6.436J/5.085J Fall 2008 Lecture 9 /7/2008 LAWS OF LARG NUMBRS II Cotets. The strog law of large umbers 2. The Cheroff boud TH STRONG LAW OF LARG NUMBRS While the weak

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

APPROXIMATION BY BERNSTEIN-CHLODOWSKY POLYNOMIALS

APPROXIMATION BY BERNSTEIN-CHLODOWSKY POLYNOMIALS Hacettepe Joural of Mathematics ad Statistics Volume 32 (2003), 1 5 APPROXIMATION BY BERNSTEIN-CHLODOWSKY POLYNOMIALS E. İbili Received 27/06/2002 : Accepted 17/03/2003 Abstract The weighted approximatio

More information

Complex Analysis Spring 2001 Homework I Solution

Complex Analysis Spring 2001 Homework I Solution Complex Aalysis Sprig 2001 Homework I Solutio 1. Coway, Chapter 1, sectio 3, problem 3. Describe the set of poits satisfyig the equatio z a z + a = 2c, where c > 0 ad a R. To begi, we see from the triagle

More information

-ORDER CONVERGENCE FOR FINDING SIMPLE ROOT OF A POLYNOMIAL EQUATION

-ORDER CONVERGENCE FOR FINDING SIMPLE ROOT OF A POLYNOMIAL EQUATION NEW NEWTON-TYPE METHOD WITH k -ORDER CONVERGENCE FOR FINDING SIMPLE ROOT OF A POLYNOMIAL EQUATION R. Thukral Padé Research Cetre, 39 Deaswood Hill, Leeds West Yorkshire, LS7 JS, ENGLAND ABSTRACT The objective

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

Introduction to Extreme Value Theory Laurens de Haan, ISM Japan, Erasmus University Rotterdam, NL University of Lisbon, PT

Introduction to Extreme Value Theory Laurens de Haan, ISM Japan, Erasmus University Rotterdam, NL University of Lisbon, PT Itroductio to Extreme Value Theory Laures de Haa, ISM Japa, 202 Itroductio to Extreme Value Theory Laures de Haa Erasmus Uiversity Rotterdam, NL Uiversity of Lisbo, PT Itroductio to Extreme Value Theory

More information

Lecture Notes for Analysis Class

Lecture Notes for Analysis Class Lecture Notes for Aalysis Class Topological Spaces A topology for a set X is a collectio T of subsets of X such that: (a) X ad the empty set are i T (b) Uios of elemets of T are i T (c) Fiite itersectios

More information