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

Size: px
Start display at page:

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

Transcription

1 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 liear operators {T(t.) t > O} o a Baach space 9: may represetatio theorems of the form (1) T(t;)f lim ' ~(T(~) )f (2) T(t;) f lim 'lit; (R () )f (3) T( t;)f 1 lim 'lit; (I +~A)f (t; > 0, f 89:) have bee established by several authors ([2J, [3], [5J, [7], [8J, [9] ), where 'lit; is a sui table f:.1ctio aalytic i some iterval 00 _ At [0,8J with 8 > 1, R(A) = f e T(t)dt for sufficietly large A deo otes the resolvet of the semigroup, I deotes the idetity operator ad A deotes u le correspodig ifiitesimal geera tor. (Note that (3) is oly meaigful if A is bouded.) The commo backgroud all of these represetatio theorems is probabilistic i that 'lit; is the geeratig fuctio of a o-egative iteger-valued radom variable N (see [4J for defiitios) with expec tatio E(N) = U [3], [7], [8]) ; i fact, relatios (1), (2) ad (3) are i some sese a cosequece of the famous law of large umbers i probability theory. 1

2 The aim of this ote ow is to prove that uder mild coditios oly these probabilistic represetatios are possible. THEOREM 1. Let ~ be aalytic i some iterval [O, oj, > 1, with I:; o-egative coefficiets. The if ay of the three represetatios give by (1), (2) or (3) holds for a arbitrary strogly cotiuous o-periodic semigroup {T(t) I t ~ O} with IIT(t)11 > 0, ~I:; is ecessarily the geeratig fuctio of a o- egative iteger- valued radom variable N with expectatio E(N) = 1:;. I this case, the represetatios (1) ad (2) hold true for every strogly cotiuous semigroup, a d (3) holds true i case that A is bouded. PROOF. Let ~I:;(t) = L ak( l:;) t k for ~ t ~ 00 k=o The ~~(1) = I a ( 1:;) > sice otherwise ~!:; := 0, hece IIT(!:;) II = c, k=o k a k (!:;) which is a cotradictio. But the by {~ t;( I)} a probability distrib~ tio of some o-egative itege r - valued radom variable N is give, with beig its geeratig fuctio. By the iequality x < l. e XY -y grable with for arbitrary x _> 0, y > 0, N is ite E(N) < _1_ E(e N lo) - l < Also, sice ~I:; ad hece ~~ are aalytic i [o,oj with > 1, the characteristic fuctio of N is aalytic i some complex eighbourhood of the origi, hece all of the relatios (4) * T (1;)f lim -- {~~ (T* (~) ) }f (5) * T (1;) f * * lim {f I:; (R ())} f -- 2

3 (6) * T (1;)f * 1 * lim {' I;(I +~A )} f, f ef!{ * hold true for every strogly cotiuous semigroup {T (t) I t ~ o} (the latter oly, if A* is bouded) ([7], Corollary 2; [8], (6)). 1 1 Let S deote oe of the operators T(~), R() or I +~A, correspodig to which of the relatios (1), (2) or (3) holds. Choose f e f!{ such that IIT(t;)fll > 0, the 0< IIT(I;)fll = limll{'!'i;(s)}fll lim('!'i;(l) )ll {'!'~(S) }fll with lim II {'!'~(S) }fll IIT( I; )f11 < '" by (4), (5) ad (6), implyig '!'I; (1) ~ 1. Let further g e f!{ be such that II T (1;) gil > o. The lim with limll {'!'~ (S) }gll = IIT(1;)gll > 0 by (4), (5) ad (6), implyig '!'1;(1) ::. 1. That is, '!' 1; (1) = 1 ad hece '!'I; = '!'i;" * Agai by (4), (5) ad (6), T(1;) f T ( 1;) f for all f e P1 by assumptio, hece T(r,) T( I; ). Suppose ow 1; f 1;, say 1; < 1;. The for I; - r" T(I;)T() T(1; + ) T(I;), hece the semigroup is periodic with period which is a cotradictio to the assumptio. Hece 1; = 1;, ad the theorem is proved. Note that the a b ove theorem is a strog extesio of the geeral covergece theorem i [lj i the case of strogly cotiuous semigroups sice oly oe (essetially) arbitrary "test fuctio" is eeded. 3

4 The assumptio of o-periodicity i the above theorem is oly ecessary to guaratee that E(N) = ~. Without this assumptio, the theorem e ssetially remais valid i that the represetatios (1), (2) ad (3) hold true i geeral if T(~)f is r eplaced by T(s)f. Of course, the poit i the above theore m is the assumptio that the coefficiets o ' ~ are o-egative. Oe could ask ow whether geerally oly probabilistic represetatios of the form (1), (2) or (3) are possible. But t~is is ot true as ca be see by the followig o-probabilistic exte sio of Kedall's formula [5J. THEOREM 2. Let ' ~(t) = l-~+~t for ~ > 1. The (1), (2) ad (3) hold true for every uiformly cotiuous semigroup {T(t) It> ol PROOF. Let agai S deote T(!), R() V (S -I). The A = lim V, ad 1 or I +-A, ad let -l I k=o ~llv il e 1 3~11 V il < -e - 1 < -e - for sufficietly large. Sice by the expoetial formula, T(~) proved. ~V lim e the theorem is REMARK. I [7] it was implicitly assumed that the mappig t + T(t) is-measurable ad separably valued, which e.g. is true i the case of uiformly cotiuous semigroups. But the results i [6] remai also valid i the geeral strogly cotiuous case sice for a 4

5 suitable o-egative radom variable X {E (T (X)) }f E (T (X) f), f f defies a bouded liear operator o f ito f with the properties IIE(T(X))II ::.. E(IIT(X)II) ad E(T(X+Y)) = E(T(X))oE(T(Y)) for idepedet radom variables X ad Y, where E (T (X) f) for f f is to be uderstood as a Pettis expectatio i the sese of Mourier [6J (which exists sice the mappigs t ~ T(t)f are cotiuous, hece measurable ad separably valued (see also [2])). REFERENCES [1] Butzer, P.L. ad Beres, H.: Semi- Groups of Operators ad Approximatio, Spriger-Verlag, Berli (1967). [2] Butzer, P.L. ad Hah, L.: A probabilistic approach to represetatio formulae for semigroups of operators with rates of covergece. Semigroup Forum 21 (1980), [3] Chug, K.L.: O the expoetial formulas of semi-group theory. Math. Scad. 10 (1962), [4J Feller, W.: A Itroductio to Probability Theory ad Its Applicatios. Vol. I. No.4. Wiley, New York (1968). [5] Kedall, D.G.: Berstei polyomials ad semigroups of operators. Math. Scad. 2 (1954), [6] Mourier, E.: Elemets aleatoires das u espace de Baach. A. Ist. Heri Poicare 13 (1953), [7] Pfeifer, D.: O a geeral probabilistic represetatio formula for semigroups of operators. J. Math. Res. Exp. 2 (1982),

6 [81 Pfeifer, D.: O a probabilistic represetatio theorem of operator semigroups with bouded geerator. J. Math. Res. Exp. 4 (1984). No.1. 19] Shaw, S. Y.: Approximatio of ubouded fuctios ad applicatioyb to represetatios of semigroups. J. Approx. Theory 28 (1980), Istitut fur Statistik ud Wirtschaftsmathematik Techical Uiversity Aache Wu1lerstr Aache West-Germay 6

A SEMI GROUP SETTING FOR DISTANCE MEASURES IN CONNEXION WITH POISSON APPROXIMATION. D. Pfeifer 1. INTRODUCTION

A SEMI GROUP SETTING FOR DISTANCE MEASURES IN CONNEXION WITH POISSON APPROXIMATION. D. Pfeifer 1. INTRODUCTION A SEMI GROUP SETTING FOR DISTANCE MEASURES IN CONNEXION WITH POISSON APPROXIMATION D. Pfeifer Co~uicated by Jerome A. Goldstei 1. INTRODUCTION A classical theorem of probability theory due to Poisso [6J

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

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

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

Representation formulae for (C 0 ) m-parameter operator semigroups

Representation formulae for (C 0 ) m-parameter operator semigroups ANNALES POLONICI MATHEMATICI LXIII.3 996 Represetatio formulae for C m-parameter operator semigroups by Mi Zhou ad George A. Aastassiou Memphis, Te. Abstract. Some geeral represetatio formulae for C m-parameter

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

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

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 MEAN ERGODIC CONVERGENCE IN THE CALKIN ALGEBRAS

ON MEAN ERGODIC CONVERGENCE IN THE CALKIN ALGEBRAS PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 00, Number 0, Pages 000 000 S 0002-9939(XX0000-0 ON MEAN ERGODIC CONVERGENCE IN THE CALKIN ALGEBRAS MARCH T. BOEDIHARDJO AND WILLIAM B. JOHNSON 2

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

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

A Note on Positive Supermartingales in Ruin Theory. Klaus D. Schmidt

A Note on Positive Supermartingales in Ruin Theory. Klaus D. Schmidt A Note o Positive Supermartigales i Rui Theory Klaus D. Schmidt 94-1989 1 A ote o positive supermartigales i rui theory Klaus O. SeHMIOT Semiar für Statistik, Uiversität Maheim, A 5, 0-6800 Maheim, West

More information

ON THE RATE Of CONVERGENCE for SOME STRONG APPROXIMATION THEOREMS IN EXTREMAL STATISTICS. Dietma:r Pfe;i.fer

ON THE RATE Of CONVERGENCE for SOME STRONG APPROXIMATION THEOREMS IN EXTREMAL STATISTICS. Dietma:r Pfe;i.fer ON THE RATE Of CONVERGENCE for SOME STRONG APPROXIMATION THEOREMS IN EXTREMAL STATISTICS Dietma:r Pfe;i.fer Abstract. Strog approximatio theorems for the logarithms of record ad iter-record times of a

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

(A sequence also can be thought of as the list of function values attained for a function f :ℵ X, where f (n) = x n for n 1.) x 1 x N +k x N +4 x 3

(A sequence also can be thought of as the list of function values attained for a function f :ℵ X, where f (n) = x n for n 1.) x 1 x N +k x N +4 x 3 MATH 337 Sequeces Dr. Neal, WKU Let X be a metric space with distace fuctio d. We shall defie the geeral cocept of sequece ad limit i a metric space, the apply the results i particular to some special

More information

OPERATOR PROBABILITY THEORY

OPERATOR PROBABILITY THEORY OPERATOR PROBABILITY THEORY Sta Gudder Departmet of Mathematics Uiversity of Dever Dever, Colorado 80208 sta.gudder@sm.du.edu Abstract This article presets a overview of some topics i operator probability

More information

Lecture 8: Convergence of transformations and law of large numbers

Lecture 8: Convergence of transformations and law of large numbers Lecture 8: Covergece of trasformatios ad law of large umbers Trasformatio ad covergece Trasformatio is a importat tool i statistics. If X coverges to X i some sese, we ofte eed to check whether g(x ) coverges

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

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

On forward improvement iteration for stopping problems

On forward improvement iteration for stopping problems O forward improvemet iteratio for stoppig problems Mathematical Istitute, Uiversity of Kiel, Ludewig-Mey-Str. 4, D-24098 Kiel, Germay irle@math.ui-iel.de Albrecht Irle Abstract. We cosider the optimal

More information

K. Grill Institut für Statistik und Wahrscheinlichkeitstheorie, TU Wien, Austria

K. Grill Institut für Statistik und Wahrscheinlichkeitstheorie, TU Wien, Austria MARKOV PROCESSES K. Grill Istitut für Statistik ud Wahrscheilichkeitstheorie, TU Wie, Austria Keywords: Markov process, Markov chai, Markov property, stoppig times, strog Markov property, trasitio matrix,

More information

THE STRONG LAW OF LARGE NUMBERS FOR STATIONARY SEQUENCES

THE STRONG LAW OF LARGE NUMBERS FOR STATIONARY SEQUENCES THE STRONG LAW OF LARGE NUMBERS FOR STATIONARY SEQUENCES Debdeep Pati Idia Statistical Istitute, Kolkata Jue 26, 2006 Abstract The traditioal proof of the strog law of large umbers usig idepedet ad idetically

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

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

DIVISIBILITY PROPERTIES OF GENERALIZED FIBONACCI POLYNOMIALS

DIVISIBILITY PROPERTIES OF GENERALIZED FIBONACCI POLYNOMIALS DIVISIBILITY PROPERTIES OF GENERALIZED FIBONACCI POLYNOMIALS VERNER E. HOGGATT, JR. Sa Jose State Uiversity, Sa Jose, Califoria 95192 ad CALVIN T. LONG Washigto State Uiversity, Pullma, Washigto 99163

More information

b i u x i U a i j u x i u x j

b i u x i U a i j u x i u x j M ath 5 2 7 Fall 2 0 0 9 L ecture 1 9 N ov. 1 6, 2 0 0 9 ) S ecod- Order Elliptic Equatios: Weak S olutios 1. Defiitios. I this ad the followig two lectures we will study the boudary value problem Here

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

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

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

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

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

Estimation of the essential supremum of a regression function

Estimation of the essential supremum of a regression function Estimatio of the essetial supremum of a regressio fuctio Michael ohler, Adam rzyżak 2, ad Harro Walk 3 Fachbereich Mathematik, Techische Uiversität Darmstadt, Schlossgartestr. 7, 64289 Darmstadt, Germay,

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

Maximal sets of integers not containing k + 1 pairwise coprimes and having divisors from a specified set of primes

Maximal sets of integers not containing k + 1 pairwise coprimes and having divisors from a specified set of primes EuroComb 2005 DMTCS proc. AE, 2005, 335 340 Maximal sets of itegers ot cotaiig k + 1 pairwise coprimes ad havig divisors from a specified set of primes Vladimir Bliovsky 1 Bielefeld Uiversity, Math. Dept.,

More information

Math 525: Lecture 5. January 18, 2018

Math 525: Lecture 5. January 18, 2018 Math 525: Lecture 5 Jauary 18, 2018 1 Series (review) Defiitio 1.1. A sequece (a ) R coverges to a poit L R (writte a L or lim a = L) if for each ǫ > 0, we ca fid N such that a L < ǫ for all N. If the

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

A General Iterative Scheme for Variational Inequality Problems and Fixed Point Problems

A General Iterative Scheme for Variational Inequality Problems and Fixed Point Problems A Geeral Iterative Scheme for Variatioal Iequality Problems ad Fixed Poit Problems Wicha Khogtham Abstract We itroduce a geeral iterative scheme for fidig a commo of the set solutios of variatioal iequality

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

We are mainly going to be concerned with power series in x, such as. (x)} converges - that is, lims N n

We are mainly going to be concerned with power series in x, such as. (x)} converges - that is, lims N n Review of Power Series, Power Series Solutios A power series i x - a is a ifiite series of the form c (x a) =c +c (x a)+(x a) +... We also call this a power series cetered at a. Ex. (x+) is cetered at

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 (Ω, 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

A Note on Matrix Rigidity

A Note on Matrix Rigidity A Note o Matrix Rigidity Joel Friedma Departmet of Computer Sciece Priceto Uiversity Priceto, NJ 08544 Jue 25, 1990 Revised October 25, 1991 Abstract I this paper we give a explicit costructio of matrices

More information

MDIV. Multiple divisor functions

MDIV. Multiple divisor functions MDIV. Multiple divisor fuctios The fuctios τ k For k, defie τ k ( to be the umber of (ordered factorisatios of ito k factors, i other words, the umber of ordered k-tuples (j, j 2,..., j k with j j 2...

More information

arxiv:math-ph/ v1 27 Jul 1999

arxiv:math-ph/ v1 27 Jul 1999 arxiv:math-ph/99722v1 27 Jul 1999 A Feyma-Kac Formula for Ubouded Semigroups Barry Simo Abstract. We prove a Feyma-Kac formula for Schrödiger operators with potetials V(x) that obey (for all ε > ) V(x)

More information

Common Coupled Fixed Point of Mappings Satisfying Rational Inequalities in Ordered Complex Valued Generalized Metric Spaces

Common Coupled Fixed Point of Mappings Satisfying Rational Inequalities in Ordered Complex Valued Generalized Metric Spaces IOSR Joural of Mathematics (IOSR-JM) e-issn: 78-578, p-issn:319-765x Volume 10, Issue 3 Ver II (May-Ju 014), PP 69-77 Commo Coupled Fixed Poit of Mappigs Satisfyig Ratioal Iequalities i Ordered Complex

More information

Research Article Some E-J Generalized Hausdorff Matrices Not of Type M

Research Article Some E-J Generalized Hausdorff Matrices Not of Type M Abstract ad Applied Aalysis Volume 2011, Article ID 527360, 5 pages doi:10.1155/2011/527360 Research Article Some E-J Geeralized Hausdorff Matrices Not of Type M T. Selmaogullari, 1 E. Savaş, 2 ad B. E.

More information

BETWEEN QUASICONVEX AND CONVEX SET-VALUED MAPPINGS. 1. Introduction. Throughout the paper we denote by X a linear space and by Y a topological linear

BETWEEN QUASICONVEX AND CONVEX SET-VALUED MAPPINGS. 1. Introduction. Throughout the paper we denote by X a linear space and by Y a topological linear BETWEEN QUASICONVEX AND CONVEX SET-VALUED MAPPINGS Abstract. The aim of this paper is to give sufficiet coditios for a quasicovex setvalued mappig to be covex. I particular, we recover several kow characterizatios

More information

A Characterization of Compact Operators by Orthogonality

A Characterization of Compact Operators by Orthogonality Australia Joural of Basic ad Applied Scieces, 5(6): 253-257, 211 ISSN 1991-8178 A Characterizatio of Compact Operators by Orthogoality Abdorreza Paahi, Mohamad Reza Farmai ad Azam Noorafa Zaai Departmet

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

On Weak and Strong Convergence Theorems for a Finite Family of Nonself I-asymptotically Nonexpansive Mappings

On Weak and Strong Convergence Theorems for a Finite Family of Nonself I-asymptotically Nonexpansive Mappings Mathematica Moravica Vol. 19-2 2015, 49 64 O Weak ad Strog Covergece Theorems for a Fiite Family of Noself I-asymptotically Noexpasive Mappigs Birol Güdüz ad Sezgi Akbulut Abstract. We prove the weak ad

More information

arxiv: v1 [math.pr] 4 Dec 2013

arxiv: v1 [math.pr] 4 Dec 2013 Squared-Norm Empirical Process i Baach Space arxiv:32005v [mathpr] 4 Dec 203 Vicet Q Vu Departmet of Statistics The Ohio State Uiversity Columbus, OH vqv@statosuedu Abstract Jig Lei Departmet of Statistics

More information

Benaissa Bernoussi Université Abdelmalek Essaadi, ENSAT de Tanger, B.P. 416, Tanger, Morocco

Benaissa Bernoussi Université Abdelmalek Essaadi, ENSAT de Tanger, B.P. 416, Tanger, Morocco EXTENDING THE BERNOULLI-EULER METHOD FOR FINDING ZEROS OF HOLOMORPHIC FUNCTIONS Beaissa Beroussi Uiversité Abdelmalek Essaadi, ENSAT de Tager, B.P. 416, Tager, Morocco e-mail: Beaissa@fstt.ac.ma Mustapha

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

EE 4TM4: Digital Communications II Probability Theory

EE 4TM4: Digital Communications II Probability Theory 1 EE 4TM4: Digital Commuicatios II Probability Theory I. RANDOM VARIABLES A radom variable is a real-valued fuctio defied o the sample space. Example: Suppose that our experimet cosists of tossig two fair

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

Real Numbers R ) - LUB(B) may or may not belong to B. (Ex; B= { y: y = 1 x, - Note that A B LUB( A) LUB( B)

Real Numbers R ) - LUB(B) may or may not belong to B. (Ex; B= { y: y = 1 x, - Note that A B LUB( A) LUB( B) Real Numbers The least upper boud - Let B be ay subset of R B is bouded above if there is a k R such that x k for all x B - A real umber, k R is a uique least upper boud of B, ie k = LUB(B), if () k is

More information

Sh. Al-sharif - R. Khalil

Sh. Al-sharif - R. Khalil Red. Sem. Mat. Uiv. Pol. Torio - Vol. 62, 2 (24) Sh. Al-sharif - R. Khalil C -SEMIGROUP AND OPERATOR IDEALS Abstract. Let T (t), t

More information

Stochastic Matrices in a Finite Field

Stochastic Matrices in a Finite Field Stochastic Matrices i a Fiite Field Abstract: I this project we will explore the properties of stochastic matrices i both the real ad the fiite fields. We first explore what properties 2 2 stochastic matrices

More information

A Note on the Kolmogorov-Feller Weak Law of Large Numbers

A Note on the Kolmogorov-Feller Weak Law of Large Numbers Joural of Mathematical Research with Applicatios Mar., 015, Vol. 35, No., pp. 3 8 DOI:10.3770/j.iss:095-651.015.0.013 Http://jmre.dlut.edu.c A Note o the Kolmogorov-Feller Weak Law of Large Numbers Yachu

More information

Glivenko-Cantelli Classes

Glivenko-Cantelli Classes CS28B/Stat24B (Sprig 2008 Statistical Learig Theory Lecture: 4 Gliveko-Catelli Classes Lecturer: Peter Bartlett Scribe: Michelle Besi Itroductio This lecture will cover Gliveko-Catelli (GC classes ad itroduce

More information

A solid Foundation for q-appell Polynomials

A solid Foundation for q-appell Polynomials Advaces i Dyamical Systems ad Applicatios ISSN 0973-5321, Volume 10, Number 1, pp. 27 35 2015) http://campus.mst.edu/adsa A solid Foudatio for -Appell Polyomials Thomas Erst Uppsala Uiversity Departmet

More information

Axioms of Measure Theory

Axioms of Measure Theory MATH 532 Axioms of Measure Theory Dr. Neal, WKU I. The Space Throughout the course, we shall let X deote a geeric o-empty set. I geeral, we shall ot assume that ay algebraic structure exists o X so that

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

Math 210A Homework 1

Math 210A Homework 1 Math 0A Homework Edward Burkard Exercise. a) State the defiitio of a aalytic fuctio. b) What are the relatioships betwee aalytic fuctios ad the Cauchy-Riema equatios? Solutio. a) A fuctio f : G C is called

More information

Korovkin type approximation theorems for weighted αβ-statistical convergence

Korovkin type approximation theorems for weighted αβ-statistical convergence Bull. Math. Sci. (205) 5:59 69 DOI 0.007/s3373-05-0065-y Korovki type approximatio theorems for weighted αβ-statistical covergece Vata Karakaya Ali Karaisa Received: 3 October 204 / Revised: 3 December

More information

AD-A sone GENERAL PROBAILISTIC ESTINATIONS FOR TNf RRT OF U/ CONVERGENCE IN OPE.. (U) NORTH CAROLINA UNIV AT CH EL. Iilllll

AD-A sone GENERAL PROBAILISTIC ESTINATIONS FOR TNf RRT OF U/ CONVERGENCE IN OPE.. (U) NORTH CAROLINA UNIV AT CH EL. Iilllll AD-A161 359 sone GENERAL PROBAILISTIC ESTINATIONS FOR TNf RRT OF U/ CONVERGENCE IN OPE.. (U) NORTH CAROLINA UNIV AT CH EL UNCLASSIFIED HILL TR-114 CENTER AFOSR-TR-85-i1967 FOR STOCHASTIC F49;2il-82-C-Oi0i9

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

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

Strong Convergence Theorems According. to a New Iterative Scheme with Errors for. Mapping Nonself I-Asymptotically. Quasi-Nonexpansive Types

Strong Convergence Theorems According. to a New Iterative Scheme with Errors for. Mapping Nonself I-Asymptotically. Quasi-Nonexpansive Types It. Joural of Math. Aalysis, Vol. 4, 00, o. 5, 37-45 Strog Covergece Theorems Accordig to a New Iterative Scheme with Errors for Mappig Noself I-Asymptotically Quasi-Noexpasive Types Narogrit Puturog Mathematics

More information

LECTURE 8: ASYMPTOTICS I

LECTURE 8: ASYMPTOTICS I LECTURE 8: ASYMPTOTICS I We are iterested i the properties of estimators as. Cosider a sequece of radom variables {, X 1}. N. M. Kiefer, Corell Uiversity, Ecoomics 60 1 Defiitio: (Weak covergece) A sequece

More information

Convergence of Random SP Iterative Scheme

Convergence of Random SP Iterative Scheme Applied Mathematical Scieces, Vol. 7, 2013, o. 46, 2283-2293 HIKARI Ltd, www.m-hikari.com Covergece of Radom SP Iterative Scheme 1 Reu Chugh, 2 Satish Narwal ad 3 Vivek Kumar 1,2,3 Departmet of Mathematics,

More information

Exponential Functions and Taylor Series

Exponential Functions and Taylor Series MATH 4530: Aalysis Oe Expoetial Fuctios ad Taylor Series James K. Peterso Departmet of Biological Scieces ad Departmet of Mathematical Scieces Clemso Uiversity March 29, 2017 MATH 4530: Aalysis Oe Outlie

More information

Application to Random Graphs

Application to Random Graphs A Applicatio to Radom Graphs Brachig processes have a umber of iterestig ad importat applicatios. We shall cosider oe of the most famous of them, the Erdős-Réyi radom graph theory. 1 Defiitio A.1. Let

More information

Distribution of Random Samples & Limit theorems

Distribution of Random Samples & Limit theorems STAT/MATH 395 A - PROBABILITY II UW Witer Quarter 2017 Néhémy Lim Distributio of Radom Samples & Limit theorems 1 Distributio of i.i.d. Samples Motivatig example. Assume that the goal of a study is to

More information

Subject: Differential Equations & Mathematical Modeling -III. Lesson: Power series solutions of Differential Equations. about ordinary points

Subject: Differential Equations & Mathematical Modeling -III. Lesson: Power series solutions of Differential Equations. about ordinary points Power series solutio of Differetial equatios about ordiary poits Subject: Differetial Equatios & Mathematical Modelig -III Lesso: Power series solutios of Differetial Equatios about ordiary poits Lesso

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

n p (Ω). This means that the

n p (Ω). This means that the Sobolev s Iequality, Poicaré Iequality ad Compactess I. Sobolev iequality ad Sobolev Embeddig Theorems Theorem (Sobolev s embeddig theorem). Give the bouded, ope set R with 3 ad p

More information

TENSOR PRODUCTS AND PARTIAL TRACES

TENSOR PRODUCTS AND PARTIAL TRACES Lecture 2 TENSOR PRODUCTS AND PARTIAL TRACES Stéphae ATTAL Abstract This lecture cocers special aspects of Operator Theory which are of much use i Quatum Mechaics, i particular i the theory of Quatum Ope

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

Hoggatt and King [lo] defined a complete sequence of natural numbers

Hoggatt and King [lo] defined a complete sequence of natural numbers REPRESENTATIONS OF N AS A SUM OF DISTINCT ELEMENTS FROM SPECIAL SEQUENCES DAVID A. KLARNER, Uiversity of Alberta, Edmoto, Caada 1. INTRODUCTION Let a, I deote a sequece of atural umbers which satisfies

More information

On Orlicz N-frames. 1 Introduction. Renu Chugh 1,, Shashank Goel 2

On Orlicz N-frames. 1 Introduction. Renu Chugh 1,, Shashank Goel 2 Joural of Advaced Research i Pure Mathematics Olie ISSN: 1943-2380 Vol. 3, Issue. 1, 2010, pp. 104-110 doi: 10.5373/jarpm.473.061810 O Orlicz N-frames Reu Chugh 1,, Shashak Goel 2 1 Departmet of Mathematics,

More information

Arkansas Tech University MATH 2924: Calculus II Dr. Marcel B. Finan

Arkansas Tech University MATH 2924: Calculus II Dr. Marcel B. Finan Arkasas Tech Uiversity MATH 94: Calculus II Dr Marcel B Fia 85 Power Series Let {a } =0 be a sequece of umbers The a power series about x = a is a series of the form a (x a) = a 0 + a (x a) + a (x a) +

More information

2.1. Convergence in distribution and characteristic functions.

2.1. Convergence in distribution and characteristic functions. 3 Chapter 2. Cetral Limit Theorem. Cetral limit theorem, or DeMoivre-Laplace Theorem, which also implies the wea law of large umbers, is the most importat theorem i probability theory ad statistics. For

More information

Generating Functions for Laguerre Type Polynomials. Group Theoretic method

Generating Functions for Laguerre Type Polynomials. Group Theoretic method It. Joural of Math. Aalysis, Vol. 4, 2010, o. 48, 257-266 Geeratig Fuctios for Laguerre Type Polyomials α of Two Variables L ( xy, ) by Usig Group Theoretic method Ajay K. Shula* ad Sriata K. Meher** *Departmet

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

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

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

A Bernstein-Stancu type operator which preserves e 2

A Bernstein-Stancu type operator which preserves e 2 A. Şt. Uiv. Ovidius Costaţa Vol. 7), 009, 45 5 A Berstei-Stacu type operator which preserves e Igrid OANCEA Abstract I this paper we costruct a Berstei-Stacu type operator followig a J.P.Kig model. Itroductio

More information

Poincaré Problem for Nonlinear Elliptic Equations of Second Order in Unbounded Domains

Poincaré Problem for Nonlinear Elliptic Equations of Second Order in Unbounded Domains Advaces i Pure Mathematics 23 3 72-77 http://dxdoiorg/4236/apm233a24 Published Olie Jauary 23 (http://wwwscirporg/oural/apm) Poicaré Problem for Noliear Elliptic Equatios of Secod Order i Ubouded Domais

More information

Rademacher Complexity

Rademacher Complexity EECS 598: Statistical Learig Theory, Witer 204 Topic 0 Rademacher Complexity Lecturer: Clayto Scott Scribe: Ya Deg, Kevi Moo Disclaimer: These otes have ot bee subjected to the usual scrutiy reserved for

More information

Homework 4. x n x X = f(x n x) +

Homework 4. x n x X = f(x n x) + Homework 4 1. Let X ad Y be ormed spaces, T B(X, Y ) ad {x } a sequece i X. If x x weakly, show that T x T x weakly. Solutio: We eed to show that g(t x) g(t x) g Y. It suffices to do this whe g Y = 1.

More information

Lecture 19: Convergence

Lecture 19: Convergence Lecture 19: Covergece Asymptotic approach I statistical aalysis or iferece, a key to the success of fidig a good procedure is beig able to fid some momets ad/or distributios of various statistics. I may

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

Probability for mathematicians INDEPENDENCE TAU

Probability for mathematicians INDEPENDENCE TAU Probability for mathematicias INDEPENDENCE TAU 2013 28 Cotets 3 Ifiite idepedet sequeces 28 3a Idepedet evets........................ 28 3b Idepedet radom variables.................. 33 3 Ifiite idepedet

More information

Concavity of weighted arithmetic means with applications

Concavity of weighted arithmetic means with applications Arch. Math. 69 (1997) 120±126 0003-889X/97/020120-07 $ 2.90/0 Birkhäuser Verlag, Basel, 1997 Archiv der Mathematik Cocavity of weighted arithmetic meas with applicatios By ARKADY BERENSTEIN ad ALEK VAINSHTEIN*)

More information

AN EXTENSION OF SIMONS INEQUALITY AND APPLICATIONS. Robert DEVILLE and Catherine FINET

AN EXTENSION OF SIMONS INEQUALITY AND APPLICATIONS. Robert DEVILLE and Catherine FINET 2001 vol. XIV, um. 1, 95-104 ISSN 1139-1138 AN EXTENSION OF SIMONS INEQUALITY AND APPLICATIONS Robert DEVILLE ad Catherie FINET Abstract This article is devoted to a extesio of Simos iequality. As a cosequece,

More information

(p, q)-type BETA FUNCTIONS OF SECOND KIND

(p, q)-type BETA FUNCTIONS OF SECOND KIND Adv. Oper. Theory 6, o., 34 46 http://doi.org/.34/aot.69. ISSN: 538-5X electroic http://aot-math.org p, q-type BETA FUNCTIONS OF SECOND KIND ALI ARAL ad VIJAY GUPTA Commuicated by A. Kamisa Abstract. I

More information

Measure and Measurable Functions

Measure and Measurable Functions 3 Measure ad Measurable Fuctios 3.1 Measure o a Arbitrary σ-algebra Recall from Chapter 2 that the set M of all Lebesgue measurable sets has the followig properties: R M, E M implies E c M, E M for N implies

More information

On Involutions which Preserve Natural Filtration

On Involutions which Preserve Natural Filtration Proceedigs of Istitute of Mathematics of NAS of Ukraie 00, Vol. 43, Part, 490 494 O Ivolutios which Preserve Natural Filtratio Alexader V. STRELETS Istitute of Mathematics of the NAS of Ukraie, 3 Tereshchekivska

More information

On groups of diffeomorphisms of the interval with finitely many fixed points II. Azer Akhmedov

On groups of diffeomorphisms of the interval with finitely many fixed points II. Azer Akhmedov O groups of diffeomorphisms of the iterval with fiitely may fixed poits II Azer Akhmedov Abstract: I [6], it is proved that ay subgroup of Diff ω +(I) (the group of orietatio preservig aalytic diffeomorphisms

More information

CSE 527, Additional notes on MLE & EM

CSE 527, Additional notes on MLE & EM CSE 57 Lecture Notes: MLE & EM CSE 57, Additioal otes o MLE & EM Based o earlier otes by C. Grat & M. Narasimha Itroductio Last lecture we bega a examiatio of model based clusterig. This lecture will be

More information