Suyash Narayan Mishra, Piyush Kumar Tripathi & Alok Agrawal

Similar documents
Chapter Three Systems of Linear Differential Equations

Topics in Combinatorial Optimization May 11, Lecture 22

Homework 2 Solutions

An introduction to evolution PDEs November 16, 2018 CHAPTER 5 - MARKOV SEMIGROUP

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities:

Chapter 5. Localization. 5.1 Localization of categories

Theory of! Partial Differential Equations-I!

Lecture #6: Continuous-Time Signals

SUFFICIENT CONDITIONS FOR EXISTENCE SOLUTION OF LINEAR TWO-POINT BOUNDARY PROBLEM IN MINIMIZATION OF QUADRATIC FUNCTIONAL

KEY. Math 334 Midterm I Fall 2008 sections 001 and 003 Instructor: Scott Glasgow

SOME PROPERTIES OF GENERALIZED STRONGLY HARMONIC CONVEX FUNCTIONS MUHAMMAD ASLAM NOOR, KHALIDA INAYAT NOOR, SABAH IFTIKHAR AND FARHAT SAFDAR

Properties Of Solutions To A Generalized Liénard Equation With Forcing Term

Theory of! Partial Differential Equations!

Integral representations and new generating functions of Chebyshev polynomials

arxiv: v1 [math.gm] 7 Nov 2017

On a problem of Graham By E. ERDŐS and E. SZEMERÉDI (Budapest) GRAHAM stated the following conjecture : Let p be a prime and a 1,..., ap p non-zero re

A note to the convergence rates in precise asymptotics

The Fundamental Theorems of Calculus

Convolution. Lecture #6 2CT.3 8. BME 333 Biomedical Signals and Systems - J.Schesser

Chapter 10. Optimization: More than One Choice Variable

International Journal of Mathematical Archive-3(2), 2012, Page: Available online through ISSN

ODEs II, Lecture 1: Homogeneous Linear Systems - I. Mike Raugh 1. March 8, 2004

Dirac s hole theory and the Pauli principle: clearing up the confusion.

MATH 4330/5330, Fourier Analysis Section 6, Proof of Fourier s Theorem for Pointwise Convergence

arxiv: v3 [math.ca] 14 May 2009

The Natural Logarithm

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes

Lecture 6 - Testing Restrictions on the Disturbance Process (References Sections 2.7 and 2.10, Hayashi)

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3

Bernoulli numbers. Francesco Chiatti, Matteo Pintonello. December 5, 2016

The Asymptotic Behavior of Nonoscillatory Solutions of Some Nonlinear Dynamic Equations on Time Scales

On Two Integrability Methods of Improper Integrals

Sections 2.2 & 2.3 Limit of a Function and Limit Laws

Challenge Problems. DIS 203 and 210. March 6, (e 2) k. k(k + 2). k=1. f(x) = k(k + 2) = 1 x k

MATH 31B: MIDTERM 2 REVIEW. x 2 e x2 2x dx = 1. ue u du 2. x 2 e x2 e x2] + C 2. dx = x ln(x) 2 2. ln x dx = x ln x x + C. 2, or dx = 2u du.

Representation of Stochastic Process by Means of Stochastic Integrals

Chapter 2 The Derivative Applied Calculus 107. We ll need a rule for finding the derivative of a product so we don t have to multiply everything out.

Variational Iteration Method for Solving System of Fractional Order Ordinary Differential Equations

THE BERNOULLI NUMBERS. t k. = lim. = lim = 1, d t B 1 = lim. 1+e t te t = lim t 0 (e t 1) 2. = lim = 1 2.

Oscillation of an Euler Cauchy Dynamic Equation S. Huff, G. Olumolode, N. Pennington, and A. Peterson

The Miki-type identity for the Apostol-Bernoulli numbers

Online Learning with Partial Feedback. 1 Online Mirror Descent with Estimated Gradient

D.I. Survival models and copulas

Lecture 16 (Momentum and Impulse, Collisions and Conservation of Momentum) Physics Spring 2017 Douglas Fields

AQA Maths M2. Topic Questions from Papers. Differential Equations. Answers

Chapter 2. First Order Scalar Equations

REPRESENTATION AND GAUSSIAN BOUNDS FOR THE DENSITY OF BROWNIAN MOTION WITH RANDOM DRIFT

Check in: 1 If m = 2(x + 1) and n = find y when. b y = 2m n 2

Ann. Funct. Anal. 2 (2011), no. 2, A nnals of F unctional A nalysis ISSN: (electronic) URL:

Math 106: Review for Final Exam, Part II. (x x 0 ) 2 = !

Advanced Integration Techniques: Integration by Parts We may differentiate the product of two functions by using the product rule:

Math 334 Fall 2011 Homework 11 Solutions

t is a basis for the solution space to this system, then the matrix having these solutions as columns, t x 1 t, x 2 t,... x n t x 2 t...

DISCRETE GRONWALL LEMMA AND APPLICATIONS

Scientific Research of the Institute of Mathematics and Computer Science DIFFERENT VARIANTS OF THE BOUNDARY ELEMENT METHOD FOR PARABOLIC EQUATIONS

Sterilization D Values

Boundary Control of the Viscous Generalized Camassa-Holm Equation

A Necessary and Sufficient Condition for the Solutions of a Functional Differential Equation to Be Oscillatory or Tend to Zero

MA 214 Calculus IV (Spring 2016) Section 2. Homework Assignment 1 Solutions

F This leads to an unstable mode which is not observable at the output thus cannot be controlled by feeding back.

How to prove the Riemann Hypothesis

Chapter 6. Systems of First Order Linear Differential Equations

Characteristics of Linear System

Math 221: Mathematical Notation

On Hankel type transform of generalized Mathieu series

Practice Problems - Week #4 Higher-Order DEs, Applications Solutions

Mapping Properties Of The General Integral Operator On The Classes R k (ρ, b) And V k (ρ, b)

Soviet Rail Network, 1955

Boundedness and Stability of Solutions of Some Nonlinear Differential Equations of the Third-Order.

THE STORY OF LANDEN, THE HYPERBOLA AND THE ELLIPSE

SOLUTIONS TO ECE 3084

Chapter 3 Common Families of Distributions

How to Prove the Riemann Hypothesis Author: Fayez Fok Al Adeh.

arxiv:math/ v1 [math.nt] 3 Nov 2005

L p -L q -Time decay estimate for solution of the Cauchy problem for hyperbolic partial differential equations of linear thermoelasticity

On the Stability of the n-dimensional Quadratic and Additive Functional Equation in Random Normed Spaces via Fixed Point Method

Prakash Chandra Rautaray 1, Ellipse 2

y h h y

Faα-Irresolute Mappings

On Likelihood Ratio and Stochastic Order. for Skew-symmetric Distributions. with a Common Kernel

A NOTE ON S(t) AND THE ZEROS OF THE RIEMANN ZETA-FUNCTION

Matrix Versions of Some Refinements of the Arithmetic-Geometric Mean Inequality

Differential Equations

Settling Time Design and Parameter Tuning Methods for Finite-Time P-PI Control

PROBLEMS FOR MATH 162 If a problem is starred, all subproblems are due. If only subproblems are starred, only those are due. SLOPES OF TANGENT LINES

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes

On Customized Goods, Standard Goods, and Competition

Y 0.4Y 0.45Y Y to a proper ARMA specification.

THE SINE INTEGRAL. x dt t

Kinematics Vocabulary. Kinematics and One Dimensional Motion. Position. Coordinate System in One Dimension. Kinema means movement 8.

TEACHER NOTES MATH NSPIRED

Two Coupled Oscillators / Normal Modes

The Contradiction within Equations of Motion with Constant Acceleration

EXISTENCE AND UNIQUENESS THEOREMS ON CERTAIN DIFFERENCE-DIFFERENTIAL EQUATIONS

Linear Dynamic Models

Math 10B: Mock Mid II. April 13, 2016

f(t) dt, x > 0, is the best value and it is the norm of the

The Bloch Space of Analytic functions

Inventory Analysis and Management. Multi-Period Stochastic Models: Optimality of (s, S) Policy for K-Convex Objective Functions

Average Number of Lattice Points in a Disk

Transcription:

IOSR Journal o Mahemaics IOSR-JM e-issn: 78-578 -ISSN: 39-765X. Volume Issue Ver. VI Mar - Ar. 5 PP 43-5 www.iosrjournals.org A auberian heorem or C α β- Convergence o Cesaro Means o Orer o Funcions Suash Naraan Mishra Piush Kumar riahi & Alo Agrawal Email:snmisra@lo. ami. eu riai@lo. ami. eu aagrawal@lo. ami. eu 3 Ami School o Alie Sciences Ami niversi ar Praesh Lucnow Camus Near Malhaur Railwa Saion Gomi Nagar Lucnow. P. Inia Absrac: he objecive o his aer o generalize cerain auberian resuls rove b Gehring [3] or summabili C ; α o sequences o uncions. In [] A. V. Bo generalize he auberian heorem or α convergence o Cesa ro means o sequences. In his aer we obain some auberian heorems or C α β convergence o Cesa ro means o orer o uncions an invesigae some o is roeries. Kewors: auberian heorem Absolue an Cesàro summabili Lebesgue Inegral Convergence. I. Inroucion he noaion is similar ha are in [3]wih he ollowing aiional einiions: I > hen A n B n enoe he n-h Cesa ro sums o orer or he series n= a n n= b n where b n = na n. A n B n enoe he a n b n. Summabili C ; α o a n will b C ; α o a n. Mishra an Srivasava [6] inrouce he Summabili meho C or uncions b generalizing C summabili meho. In his aer we iscuss some auberian heorems or C α β convergence o Cesa ro means o orer o uncions an invesigae some o is roeries. II. Deiniions an Some Preliminaries We woul lie o irs inrouce Summabili meho. Summabili meho is more general han ha o orinar convergence. I we are given a sequence s n we can consruc a generalize sequence σ n he arihmeic mean o s n b his sequence s n. I σ n is convergen in orinar sense or all n > hen we sa ha s n is summable C o he sum s. his C is calle Cesaro mean o irs orer. I s n s σ n = s +s +.+s n s ie i a sequence is convergen i is summable b meho o n + arihmeic mean. Also a series + + + is no convergen bu is summable o he sum. he sace o summable sequences is larger han sace o convergen sequences. I σ n s as n hen we sa ha sequence s n is summable b meho o arihmeic mean. For eamle : Consier he series n= u n = u + u +.. An le σ n = s +s +.+s n I ma haen ha whereas iverges he quaniies he arihmeic mean n + o arial sum o series converges o a einie limi as n. For eamle + + + iverges bu in his case s = s = = s = + = s 3 = s n =... Since s n = + n σ n = s +s +.+s n n + = + + + + + + n +.. + /n + = n+ + + n + erms /n + DOI:.979/578-6435 www.iosrjournals.org 43 Page

A auberian heorem For C α β- Convergence O Cesa ro Means O Orer K O Funcions = + + n I n is even hen σ 4n + n = + as n an i n is o hen σ n+ n =. So in eiher case lim n σ n = s n C bu s n ε S. hereore sace o summable sequences is larger han har o sace o convergen sequences. Le be an uncion which is Lebesgue-measurable an ha : [ + R an inegrable in or an inie an which is boune in some righ han neighbourhoo o origin. Inegrals o he orm hroughou o be aen as Le. eiss an i I or lim being a Lebesgue inegral. he inegral g g. g s as we sa ha uncion is summable D o he sum s an we s D as. We noe ha or an ie i is necessar an suicien or convergence o. ha wrie he shoul converge.. C ransorm o which we enoe b is given b.3 I his eiss or an ens o a limi s as we sa ha is summable C o s an we wrie s C. We also wrie.4 we sa ha he uncion are is summable D C i his eiss an ens o a limi s as o s. When D C an D C enoe he same meho. Here we give some Gehrings generalize auberian heorems. heorem.: Suose ha α an ha is summable A α o s hen is C α β convergen o s i an onl i he uncion αβ is C α β convergen o. heorem.: Suose ha α an ha is C α β convergen. I he uncion αβ is C α β convergen o hen is summable C α o is sum or ever >. III. Now we shall rove he ollowing heorem heorem 3.: Suose ha α an ha is summable A α o s. hen or r is summable C r α o s i an onl i he uncion α β is C α β o. Proo : Necessar Coniion: I r = he heorem immeiae ollows rom he summabili o C α. I r > hen b consisenc heorem or C r α summabili Gehring [3heorem 4..] i ollows ha boh he uncions an αβ are C α β convergen o s. B Har [ Equaion 6..6] S n n r = S r+ + DOI:.979/578-6435 www.iosrjournals.org 44 Page

r+ A auberian heorem For C α β- Convergence O Cesa ro Means O Orer K O Funcions α β an he resul ollows since a linear combinaion o uncions summable C α o isel. he suicien coniions o rove he heorem are : I r > i ma be shown as in Szasz [ 4 ] ha + αβ + n r + = u r αβ u u 3. Where αβ u = u = Case a : α = r > is obvious. Case b : α r > uing g = + αβ + n. We ge rom 3. ha g = r + αβ v v n v Where αβ u now has boune C α β- variaion over. Le N V = = r + v αβ v v N αβ r αβ r αβ v v α. α α α. hen b heorem o [5] we have V r + M v r v = M.. Where M = V α αβ :. hus αβ has boune C α β- variaion over. I is reail seen rom Minowsi s inequali ha he sum o wo C α β convergen sequences is also C α β convergen an we hereore euce ha is C α β convergen o s. Case c r=-when α = he resul reuces o auber s original heorem; when α i ollows rom above heorem. For α = he resul was rove b Hslo []. heorem 3. : Le α > γ β > γ β an suose ha a is summable C γ β o s an ha converges. hen a is summable D C α β o s. We irs rove his heorem uner unreasonable einiion.. However i he resul hols wih. hen i mus also hol uner he einiion o.3. his ollows rom he ollowing Lemmas. Lemma 3.: Le. Suose ha L or inie C accoring o he einiion.3..suose ha Deine or 3. or Le enoe he eression corresoning o bu wih relace b. hen. 3.3 hus is summable C uner he einiion.3. DOI:.979/578-6435 www.iosrjournals.org 45 Page

A auberian heorem For C α β- Convergence O Cesa ro Means O Orer K O Funcions Lemma 3.: Le he hohesis be as in Lemma 3.an eine as above. Le an.hen D C summabili o an are equivalen. Proo o Lemma 3.: We are given ha or some > 3.3 Bu since i 3.3 hols or given i hols or an greaer i mus hol or all suicienl large. Now b sanar roeries o racional inegrals an since we have u u u u 3.4 Since 3.3 hols his will ollow rom Minowsi s inequali i we rove ha 3.5 Now i ollows a once rom he einiion ha or I hen or we have so ha Cons. = b 3.4. Proo o Lemma 3.: We use noaions as in Lemma 3. an wrie urher or he eression corresoning o bu wih relace b. DOI:.979/578-6435 www.iosrjournals.org 46 Page

A auberian heorem For C α β- Convergence O Cesa ro Means O Orer K O Funcions DOI:.979/578-6435 www.iosrjournals.org 47 Page We now ha or an ie convergence o is equivalen o he convergence o.hen he conclusion will ollow rom Minowsi s inequali i we show ha 3.6 where we ae 3.6 as incluing he asserion ha he inegral eine b converges or all. For large we have 3.7 Hence he convergence o ollows a once b a resul ue o []. Now 3.6 is equivalen o c. 3.8 Le be an suicienl large consan. hen 3.8 will ollow rom Minowsi s inequali i we show ha c. 3.9 c. 3.

A auberian heorem For C α β- Convergence O Cesa ro Means O Orer K O Funcions B 3.9 we have c = O O. Hence 3.9 ollows. B 3.7 he eression on he le o 3. oes no ecee a consan. hus c o 3. B an obvious change o variables he eression 3. is equal o o o C C. he resul ollows. Proo o heorem 3. : We ivie he roo ino he ollowing cases. Case I. Case II. Case III. Here we observe ha Case I an II ollow rom case III wih he ai o heorem 3.. ' For i Choose an summabili C imlies summabili ' C b heorem 3. an i ollows rom Case III ha his imlies D C. Hence i is suicien o consier he case III onl. ' Proo o Case III : Since s C imlies ha s C or ' o here is no loss o generali in consiering he Case is a osiive ineger. We have C 3. DOI:.979/578-6435 www.iosrjournals.org 48 Page

A auberian heorem For C α β- Convergence O Cesa ro Means O Orer K O Funcions Now b einiion. Puing = an we see ha. 3.3 We also wrie. R I is clear ha whenever converges R. I ollows immeiael rom 3.3 ha is eine or > an ha R as R o an hence ha or o 3.4 Inegraing 3.4 b ars imeswe euce wih he hel o 3.3 ha C. 3.5 I is veriie ha eression in 3.6 is o. 3.6 Le R. In ac or ie we have uniorml in R. 3.7 his ma be rove b inucion on i we have DOI:.979/578-6435 www.iosrjournals.org 49 Page

A auberian heorem For C α β- Convergence O Cesa ro Means O Orer K O Funcions R = hence he resul is evien. Suose ha an assume he resul rue or. Inegraing b ars we have R. he irs erm is o require orer b 3.7 wih relace b - an he secon b inucion hohesis. Now inegraing 3.6 b ars we have = R = R. Since he inegrae erm ens o as is boune an R as. sing 3.7 an uing we see ha he eression in curl braces C C C Again using 3.8 he inner inegral C 3.8 on uing he eression on he righ o 3.9 is equal o C C Since he inegral converges. Hence he resul ollows. Reerences []. A.V. bo Some heorems on Summabili 95. []. J. M.Hslo A auberian heorem or absolue summabilij.lonon Mah.Soc.Vol. 937.76-8. [3]. F.W. Gehring A su o α variaion I rans. Amer. Mah.Soc.vol.76 954.4-443. [4]. O Szasz On roucs o summabili mehosproc.amer.mah.soc.vol.395. 57-63. [5]. G. H. Har J. E.Lilewooan Pola Inequaliies934. [6]. Mishra B. P. an Srivasava A.P. Some remars on absolue Summabili o uncions base on C mehos.o aear in Jour. Na. Aca. o Mah. Summabili DOI:.979/578-6435 www.iosrjournals.org 5 Page