Poverty comparisons with cardinal and ordinal attributes

Size: px
Start display at page:

Download "Poverty comparisons with cardinal and ordinal attributes"

Transcription

1 Poverty comparisos with cardial ad ordial attributes Kristof Bosmas Departmet of Ecoomics, Maastricht Uiversity Luc Lauwers Ceter for Ecoomic Studies, Katholieke Uiversiteit Leuve Erwi Ooghe Ceter for Ecoomic Studies, Katholieke Uiversiteit Leuve

2 Problem : How idetify the poor? Give a poverty budle z = (z, z 2, ), a threshold for each attribute, how do we determie who is poor ad who is ot? (i) Uio (ii) Itersectio (iii) Itermediate x 2 x 2 x 2 z 2 z z 2 z z 2 z z x z x z x Ideally, leave the choice to the practitioer (see also Duclos, Sah & Youger, 2006 ; Alkire & Foster, 2008) 2

3 Problem 2: How give priority to the worse off poor? Cosider a multidimesioal Foster-Greer-Thorbecke idex: i i j j j ΣΠ α ( z x ) j (the sum over the poor oly) where x i j is idividual i s amout of attribute j Example with poverty budle z = (0, 0) ad weights α = α 2 = Idividual has budle (4, 6) ; idividual 2 has budle (6.5, 4) Accordig to the idex idividual is worse off tha 2 Assume a extra 0.5 of the first attribute ca be give away Worse off idividual gets it poverty decreases by 2 Better off idividual 2 gets it poverty decreases by 3 Udesirable coclusio: give priority to the better off! 3

4 Problem 3: How deal with ordial data? Ordial: e.g., health, housig, educatio, Example: Would you say your health i geeral is 0 = poor, = fair, 2 = good, 3 = very good, 4 = excellet? Problem i defiig priority Cardial: Should $30 go to someoe with $00 or to someoe with $200? meaigful questio Ordial: Should poit of health go to someoe with health 2 or to someoe with health 3? ot a meaigful questio See also Alkire & Foster (2008) ad Bossert, Chakravarty & D Ambrosio (2009) 4

5 Notatio Set of attributes C O (remember problem 3) Each idividual has a attribute budle x = (x C, x O ) i B x C the vector of cardial attributes (positive real umbers) x O the vector of ordial attributes (itegers, 0,, 2, 3, ) Fixed poverty budle z i B A distributio = (x, x 2, ) is a elemet of D Poverty rakig < ( better tha relatio) o D 5

6 Axiom : Additive represetability (AR) AR: There exists a cotiuous fuctio π : B R such that, for all ad Y i D, < Y if ad oly if Σ i= π( x i ) Y Y Σ i= π( y i ) AR is a strog axiom: < has to be (i) cotiuous, (ii) aoymous, (iii) separable, (iv) replicatio ivariat AR is strog, but quite commo i the literature (see, e.g., Foster & Shorrocks, 99 ; Tsui, 2002 ; Bourguigo & Chakravarty, 2003) 6

7 Axiom 2: Focus (F) Remember problem (how to idetify the poor) We defie the set of poor i as P = { i x i z } Give AR, the poor are those with π(x) > π(z) F: for all i D, if Y is obtaied from by a chage i the budle of a o-poor while keepig her o-poor, the ~ Y Give F, the fuctio π is costat for all x such that π(x) π(z) 7

8 Axiom 3: Mootoicity (M) M: for all ad Y i D ad for all poor i, we have that if x i > y i ad x j = y j for all j i, the Y Give AR ad M, the fuctio π is strictly decreasig i each attribute for budles x such that π(x) > π(z) 8

9 Axiom 4: Priority (P = CP & OP) Remember problem 2 (how to give priority to the worse off poor) CP: for all i D, for all δ = (δ C, δ O ) i B with δ C > 0 ad δ O = 0 for all poor i ad j with x i x j we have (, x i,, x j + δ, ) (, x i + δ,, x j, ) OP: for all i D, for all δ = (δ C, δ O ) with δ C = 0 ad δ O > 0 for all poor i ad j with x i x j ad x i k = x j k for all k for which δ O,k > 0 we have (, x i,, x j + δ, ) (, x i + δ,, x j, ) 9

10 Axiom 4: Priority (P = CP & OP) Remember problem 2 (how to give priority to the worse off poor) CP: for all i D, for all δ = (δ C, δ O ) i B with δ C > 0 ad δ O = 0 for all poor i ad j with x i x j we have (, x i,, x j + δ, ) (, x i + δ,, x j, ) OP: for all i D, for all δ = (δ C, δ O ) with δ C = 0 ad δ O > 0 for all poor i ad j with x i x j ad x i k = x j k for all k for which δ O,k > 0 we have (, x i,, x j + δ, ) (, x i + δ,, x j, ) 0

11 Result A poverty rakig < satisfies AR, F, M ad P iff there exist weights w k > 0 for each cardial attribute k i C, strictly icreasig fuctios v k : N R, with v k (0) = 0, for each ordial attribute k i O, a cotiuous fuctio f : R + R, with f (r) = f (ζ) for each r ζ = Σ k C w k z k + Σ k O v k ( z k ), that is strictly covex ad strictly decreasig o [0, ζ], such that, for all ad Y i D, we have < Y iff Σ i= f ( Σ w k x i k + k C Σ v k ( x i k ) ) k O Y Y Σ i= f ( Σ w k y i k + k C Σ v k ( y i k ) ) k O

12 Special case: All attributes cardial < Y iff Σ i= f ( Σ w k x i k ) k C Y Y Σ i= f ( Σ w k y i k ) k C Satisfies: Weak uiform majorizatio priciple: if Y ad = YQ with Q a o-permutatio bistochastic matrix, the < Y Correlatio icreasig majorizatio priciple Example with z = (0, 0): ( (5, 6), (9, 2) ) ( (9, 6), (5, 2) ) 2

13 A weaker form of priority (work i progress) Cardial priority (CP) is a demadig ormative priciple It asks us to disregard efficiecy costs caused by dimiishig returs to well-beig Example: Suppose x i x j, but idividual i has oly 0 uits of attribute, while idividual j has 00 uits Accordig to CP, if a extra uit of attribute ca be give away, the it should go to idividual j 3

14 A weaker form of priority (work i progress) Cosider a weaker versio of CP: For all i D, for all δ = (δ C, δ O ) i B with δ C > 0 ad δ O = 0 for all poor i ad j with x i x j ad x i k x j k for all k for which δ C,k > 0 we have (, x i,, x j + δ, ) (, x i + δ,, x j, ) Characterizes poverty measures lookig like Σ i= f ( Σ g k ( x i k ) + k C Σ v k ( x i k ) ) k O with v k as before ad appropriate coditios o f ad g k 4

15 Coclusio Characterizatio of a class of poverty measures featurig: Priority to the worse off poor Both cardial ad ordial attributes Flexibility i the choice of idetificatio criterio Work i progress: Ivestigate weaker forms of priority Derive practical coditios to check uaimity judgmets A applicatio of the latter usig EU-SILC data 5

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

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

Infinite Sequences and Series

Infinite Sequences and Series Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet

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

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

Topic 1 2: Sequences and Series. A sequence is an ordered list of numbers, e.g. 1, 2, 4, 8, 16, or

Topic 1 2: Sequences and Series. A sequence is an ordered list of numbers, e.g. 1, 2, 4, 8, 16, or Topic : Sequeces ad Series A sequece is a ordered list of umbers, e.g.,,, 8, 6, or,,,.... A series is a sum of the terms of a sequece, e.g. + + + 8 + 6 + or... Sigma Notatio b The otatio f ( k) is shorthad

More information

Sequences, Mathematical Induction, and Recursion. CSE 2353 Discrete Computational Structures Spring 2018

Sequences, Mathematical Induction, and Recursion. CSE 2353 Discrete Computational Structures Spring 2018 CSE 353 Discrete Computatioal Structures Sprig 08 Sequeces, Mathematical Iductio, ad Recursio (Chapter 5, Epp) Note: some course slides adopted from publisher-provided material Overview May mathematical

More information

Definition An infinite sequence of numbers is an ordered set of real numbers.

Definition An infinite sequence of numbers is an ordered set of real numbers. Ifiite sequeces (Sect. 0. Today s Lecture: Review: Ifiite sequeces. The Cotiuous Fuctio Theorem for sequeces. Usig L Hôpital s rule o sequeces. Table of useful its. Bouded ad mootoic sequeces. Previous

More information

It is always the case that unions, intersections, complements, and set differences are preserved by the inverse image of a function.

It is always the case that unions, intersections, complements, and set differences are preserved by the inverse image of a function. MATH 532 Measurable Fuctios Dr. Neal, WKU Throughout, let ( X, F, µ) be a measure space ad let (!, F, P ) deote the special case of a probability space. We shall ow begi to study real-valued fuctios defied

More information

( ) = p and P( i = b) = q.

( ) = p and P( i = b) = q. MATH 540 Radom Walks Part 1 A radom walk X is special stochastic process that measures the height (or value) of a particle that radomly moves upward or dowward certai fixed amouts o each uit icremet of

More information

Consistent multidimensional poverty comparisons

Consistent multidimensional poverty comparisons Preliminary version - Please do not distribute Consistent multidimensional poverty comparisons Kristof Bosmans a Luc Lauwers b Erwin Ooghe b a Department of Economics, Maastricht University, Tongersestraat

More information

2.4 Sequences, Sequences of Sets

2.4 Sequences, Sequences of Sets 72 CHAPTER 2. IMPORTANT PROPERTIES OF R 2.4 Sequeces, Sequeces of Sets 2.4.1 Sequeces Defiitio 2.4.1 (sequece Let S R. 1. A sequece i S is a fuctio f : K S where K = { N : 0 for some 0 N}. 2. For each

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

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

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

Chapter 22 Developing Efficient Algorithms

Chapter 22 Developing Efficient Algorithms Chapter Developig Efficiet Algorithms 1 Executig Time Suppose two algorithms perform the same task such as search (liear search vs. biary search). Which oe is better? Oe possible approach to aswer this

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

Math 116 Practice for Exam 3

Math 116 Practice for Exam 3 Math 6 Practice for Eam 3 Geerated April 4, 26 Name: SOLUTIONS Istructor: Sectio Number:. This eam has questios. Note that the problems are ot of equal difficulty, so you may wat to skip over ad retur

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

Sequences I. Chapter Introduction

Sequences I. Chapter Introduction Chapter 2 Sequeces I 2. Itroductio A sequece is a list of umbers i a defiite order so that we kow which umber is i the first place, which umber is i the secod place ad, for ay atural umber, we kow which

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

Random Variables, Sampling and Estimation

Random Variables, Sampling and Estimation Chapter 1 Radom Variables, Samplig ad Estimatio 1.1 Itroductio This chapter will cover the most importat basic statistical theory you eed i order to uderstad the ecoometric material that will be comig

More information

Math 116 Second Midterm November 13, 2017

Math 116 Second Midterm November 13, 2017 Math 6 Secod Midterm November 3, 7 EXAM SOLUTIONS. Do ot ope this exam util you are told to do so.. Do ot write your ame aywhere o this exam. 3. This exam has pages icludig this cover. There are problems.

More information

Some illustrations of possibilistic correlation

Some illustrations of possibilistic correlation Some illustratios of possibilistic correlatio Robert Fullér IAMSR, Åbo Akademi Uiversity, Joukahaisekatu -5 A, FIN-252 Turku e-mail: rfuller@abofi József Mezei Turku Cetre for Computer Sciece, Joukahaisekatu

More information

Math 113 Exam 3 Practice

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

More information

CEE 522 Autumn Uncertainty Concepts for Geotechnical Engineering

CEE 522 Autumn Uncertainty Concepts for Geotechnical Engineering CEE 5 Autum 005 Ucertaity Cocepts for Geotechical Egieerig Basic Termiology Set A set is a collectio of (mutually exclusive) objects or evets. The sample space is the (collectively exhaustive) collectio

More information

is also known as the general term of the sequence

is also known as the general term of the sequence Lesso : Sequeces ad Series Outlie Objectives: I ca determie whether a sequece has a patter. I ca determie whether a sequece ca be geeralized to fid a formula for the geeral term i the sequece. I ca determie

More information

Optimal Division of a Dollar under Ordinal Reports (Incomplete Version, do not distribute)

Optimal Division of a Dollar under Ordinal Reports (Incomplete Version, do not distribute) Optimal Divisio of a Dollar uder Ordial Reports (Icomplete Versio, do ot distribute) Rube Juarez Chuog Mai Departmet of Ecoomics, Uiversity of Hawaii 44 Maile Way, Sauders Hall 54, Hoolulu, HI 968 (email:

More information

CHAPTER 1 SEQUENCES AND INFINITE SERIES

CHAPTER 1 SEQUENCES AND INFINITE SERIES CHAPTER SEQUENCES AND INFINITE SERIES SEQUENCES AND INFINITE SERIES (0 meetigs) Sequeces ad limit of a sequece Mootoic ad bouded sequece Ifiite series of costat terms Ifiite series of positive terms Alteratig

More information

MA131 - Analysis 1. Workbook 2 Sequences I

MA131 - Analysis 1. Workbook 2 Sequences I MA3 - Aalysis Workbook 2 Sequeces I Autum 203 Cotets 2 Sequeces I 2. Itroductio.............................. 2.2 Icreasig ad Decreasig Sequeces................ 2 2.3 Bouded Sequeces..........................

More information

2.4 - Sequences and Series

2.4 - Sequences and Series 2.4 - Sequeces ad Series Sequeces A sequece is a ordered list of elemets. Defiitio 1 A sequece is a fuctio from a subset of the set of itegers (usually either the set 80, 1, 2, 3,... < or the set 81, 2,

More information

Math 113 Exam 4 Practice

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

More information

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

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

Signal Processing. Lecture 02: Discrete Time Signals and Systems. Ahmet Taha Koru, Ph. D. Yildiz Technical University.

Signal Processing. Lecture 02: Discrete Time Signals and Systems. Ahmet Taha Koru, Ph. D. Yildiz Technical University. Sigal Processig Lecture 02: Discrete Time Sigals ad Systems Ahmet Taha Koru, Ph. D. Yildiz Techical Uiversity 2017-2018 Fall ATK (YTU) Sigal Processig 2017-2018 Fall 1 / 51 Discrete Time Sigals Discrete

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

REVIEW FOR CHAPTER 1

REVIEW FOR CHAPTER 1 REVIEW FOR CHAPTER 1 A short summary: I this chapter you helped develop some basic coutig priciples. I particular, the uses of ordered pairs (The Product Priciple), fuctios, ad set partitios (The Sum Priciple)

More information

SUMMARY OF SEQUENCES AND SERIES

SUMMARY OF SEQUENCES AND SERIES SUMMARY OF SEQUENCES AND SERIES Importat Defiitios, Results ad Theorems for Sequeces ad Series Defiitio. A sequece {a } has a limit L ad we write lim a = L if for every ɛ > 0, there is a correspodig iteger

More information

Taylor Series (BC Only)

Taylor Series (BC Only) Studet Study Sessio Taylor Series (BC Oly) Taylor series provide a way to fid a polyomial look-alike to a o-polyomial fuctio. This is doe by a specific formula show below (which should be memorized): Taylor

More information

Unit 6: Sequences and Series

Unit 6: Sequences and Series AMHS Hoors Algebra 2 - Uit 6 Uit 6: Sequeces ad Series 26 Sequeces Defiitio: A sequece is a ordered list of umbers ad is formally defied as a fuctio whose domai is the set of positive itegers. It is commo

More information

A constructive analysis of convex-valued demand correspondence for weakly uniformly rotund and monotonic preference

A constructive analysis of convex-valued demand correspondence for weakly uniformly rotund and monotonic preference MPRA Muich Persoal RePEc Archive A costructive aalysis of covex-valued demad correspodece for weakly uiformly rotud ad mootoic preferece Yasuhito Taaka ad Atsuhiro Satoh. May 04 Olie at http://mpra.ub.ui-mueche.de/55889/

More information

Homework Set #3 - Solutions

Homework Set #3 - Solutions EE 15 - Applicatios of Covex Optimizatio i Sigal Processig ad Commuicatios Dr. Adre Tkaceko JPL Third Term 11-1 Homework Set #3 - Solutios 1. a) Note that x is closer to x tha to x l i the Euclidea orm

More information

Generalization of Contraction Principle on G-Metric Spaces

Generalization of Contraction Principle on G-Metric Spaces Global Joural of Pure ad Applied Mathematics. ISSN 0973-1768 Volume 14, Number 9 2018), pp. 1159-1165 Research Idia Publicatios http://www.ripublicatio.com Geeralizatio of Cotractio Priciple o G-Metric

More information

Empirical Processes: Glivenko Cantelli Theorems

Empirical Processes: Glivenko Cantelli Theorems Empirical Processes: Gliveko Catelli Theorems Mouliath Baerjee Jue 6, 200 Gliveko Catelli classes of fuctios The reader is referred to Chapter.6 of Weller s Torgo otes, Chapter??? of VDVW ad Chapter 8.3

More information

INFINITE SEQUENCES AND SERIES

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

More information

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 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

Math 341 Lecture #31 6.5: Power Series

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

More information

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

BC: Q401.CH9A Convergent and Divergent Series (LESSON 1)

BC: Q401.CH9A Convergent and Divergent Series (LESSON 1) BC: Q40.CH9A Coverget ad Diverget Series (LESSON ) INTRODUCTION Sequece Notatio: a, a 3, a,, a, Defiitio: A sequece is a fuctio f whose domai is the set of positive itegers. Defiitio: A ifiite series (or

More information

POLARIZATION ORDERINGS OF INCOME DISTRIBUTIONS. and

POLARIZATION ORDERINGS OF INCOME DISTRIBUTIONS. and roiw_362 47..64 Review of Icome ad Wealth Series 56, Number, March 2 POLARIZATION ORDERINGS OF INCOME DISTRIBUTIONS by Satya R. Chakravarty* Idia Statistical Istitute, Kolkata ad Cochita D Ambrosio Uiversità

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

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

The Choquet Integral with Respect to Fuzzy-Valued Set Functions

The Choquet Integral with Respect to Fuzzy-Valued Set Functions The Choquet Itegral with Respect to Fuzzy-Valued Set Fuctios Weiwei Zhag Abstract The Choquet itegral with respect to real-valued oadditive set fuctios, such as siged efficiecy measures, has bee used i

More information

Rankings of Income Distributions: A Note on Intermediate Inequality Indices

Rankings of Income Distributions: A Note on Intermediate Inequality Indices Workig Paper Series Rakigs of Icome Distributios: A Note o Itermediate Iequality Idices Coral del Río Olga Aloso-Villar ECINEQ WP 2007 68 ECINEQ 2007-68 May 2007 www.ecieq.org Rakigs of Icome Distributios:

More information

Singular Continuous Measures by Michael Pejic 5/14/10

Singular Continuous Measures by Michael Pejic 5/14/10 Sigular Cotiuous Measures by Michael Peic 5/4/0 Prelimiaries Give a set X, a σ-algebra o X is a collectio of subsets of X that cotais X ad ad is closed uder complemetatio ad coutable uios hece, coutable

More information

STAT Homework 1 - Solutions

STAT Homework 1 - Solutions STAT-36700 Homework 1 - Solutios Fall 018 September 11, 018 This cotais solutios for Homework 1. Please ote that we have icluded several additioal commets ad approaches to the problems to give you better

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

Real Analysis Fall 2004 Take Home Test 1 SOLUTIONS. < ε. Hence lim

Real Analysis Fall 2004 Take Home Test 1 SOLUTIONS. < ε. Hence lim Real Aalysis Fall 004 Take Home Test SOLUTIONS. Use the defiitio of a limit to show that (a) lim si = 0 (b) Proof. Let ε > 0 be give. Defie N >, where N is a positive iteger. The for ε > N, si 0 < si

More information

Chapter 2 Elementary Prime Number Theory for

Chapter 2 Elementary Prime Number Theory for Chapter 2 Elemetary Prime Number Theory for 207-8 [5 lectures] I keepig with the elemetary theme of the title I will attempt to keep away from complex variables. Recall that i Chapter we proved the ifiitude

More information

Review Problems 1. ICME and MS&E Refresher Course September 19, 2011 B = C = AB = A = A 2 = A 3... C 2 = C 3 = =

Review Problems 1. ICME and MS&E Refresher Course September 19, 2011 B = C = AB = A = A 2 = A 3... C 2 = C 3 = = Review Problems ICME ad MS&E Refresher Course September 9, 0 Warm-up problems. For the followig matrices A = 0 B = C = AB = 0 fid all powers A,A 3,(which is A times A),... ad B,B 3,... ad C,C 3,... Solutio:

More information

Math 116 Practice for Exam 3

Math 116 Practice for Exam 3 Math 6 Practice for Exam Geerated October 0, 207 Name: SOLUTIONS Istructor: Sectio Number:. This exam has 7 questios. Note that the problems are ot of equal difficulty, so you may wat to skip over ad retur

More information

On the Linear Complexity of Feedback Registers

On the Linear Complexity of Feedback Registers O the Liear Complexity of Feedback Registers A. H. Cha M. Goresky A. Klapper Northeaster Uiversity Abstract I this paper, we study sequeces geerated by arbitrary feedback registers (ot ecessarily feedback

More information

(c) Write, but do not evaluate, an integral expression for the volume of the solid generated when R is

(c) Write, but do not evaluate, an integral expression for the volume of the solid generated when R is Calculus BC Fial Review Name: Revised 7 EXAM Date: Tuesday, May 9 Remiders:. Put ew batteries i your calculator. Make sure your calculator is i RADIAN mode.. Get a good ight s sleep. Eat breakfast. Brig:

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

TERMWISE DERIVATIVES OF COMPLEX FUNCTIONS

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

More information

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

CONTENTS. Course Goals. Course Materials Lecture Notes:

CONTENTS. Course Goals. Course Materials Lecture Notes: INTRODUCTION Ho Chi Mih City OF Uiversity ENVIRONMENTAL of Techology DESIGN Faculty Chapter of Civil 1: Orietatio. Egieerig Evaluatio Departmet of mathematical of Water Resources skill Egieerig & Maagemet

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

AP Calculus BC 2011 Scoring Guidelines Form B

AP Calculus BC 2011 Scoring Guidelines Form B AP Calculus BC Scorig Guidelies Form B The College Board The College Board is a ot-for-profit membership associatio whose missio is to coect studets to college success ad opportuity. Fouded i 9, the College

More information

First Year Quantitative Comp Exam Spring, Part I - 203A. f X (x) = 0 otherwise

First Year Quantitative Comp Exam Spring, Part I - 203A. f X (x) = 0 otherwise First Year Quatitative Comp Exam Sprig, 2012 Istructio: There are three parts. Aswer every questio i every part. Questio I-1 Part I - 203A A radom variable X is distributed with the margial desity: >

More information

MTH 246 TEST 3 April 4, 2014

MTH 246 TEST 3 April 4, 2014 MTH 26 TEST April, 20 (PLEASE PRINT YOUR NAME!!) Name:. (6 poits each) Evaluate lim! a for the give sequece fa g. (a) a = 2 2 5 2 5 (b) a = 2 7 2. (6 poits) Fid the sum of the telescopig series p p 2.

More information

Reference groups and individual deprivation

Reference groups and individual deprivation Ecoomics Letters 90 (2006) 421 426 www.elsevier.com/locate/ecobase Referece groups ad idividual deprivatio Walter Bossert a, *, Cochita D Ambrosio b a Départemet de Scieces Ecoomiques ad CIREQ, Uiversité

More information

Chapter 0. Review of set theory. 0.1 Sets

Chapter 0. Review of set theory. 0.1 Sets Chapter 0 Review of set theory Set theory plays a cetral role i the theory of probability. Thus, we will ope this course with a quick review of those otios of set theory which will be used repeatedly.

More information

MAS111 Convergence and Continuity

MAS111 Convergence and Continuity MAS Covergece ad Cotiuity Key Objectives At the ed of the course, studets should kow the followig topics ad be able to apply the basic priciples ad theorems therei to solvig various problems cocerig covergece

More information

Analytic Continuation

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

More information

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

The Riemann Zeta Function

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

More information

The necessary requirement of median independence for relative bipolarisation measurement

The necessary requirement of median independence for relative bipolarisation measurement Workig Paper Series The ecessary requiremet of media idepedece for relative bipolarisatio measuremet Gasto Yaloetzky ECINEQ WP 016-40 ECINEQ 016-40 November 016 www.ecieq.org The ecessary requiremet of

More information

Mathematical Methods for Physics and Engineering

Mathematical Methods for Physics and Engineering Mathematical Methods for Physics ad Egieerig Lecture otes Sergei V. Shabaov Departmet of Mathematics, Uiversity of Florida, Gaiesville, FL 326 USA CHAPTER The theory of covergece. Numerical sequeces..

More information

7 Sequences of real numbers

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

More information

PRACTICE FINAL/STUDY GUIDE SOLUTIONS

PRACTICE FINAL/STUDY GUIDE SOLUTIONS Last edited December 9, 03 at 4:33pm) Feel free to sed me ay feedback, icludig commets, typos, ad mathematical errors Problem Give the precise meaig of the followig statemets i) a f) L ii) a + f) L iii)

More information

A Fixed Point Result Using a Function of 5-Variables

A Fixed Point Result Using a Function of 5-Variables Joural of Physical Scieces, Vol., 2007, 57-6 Fixed Poit Result Usig a Fuctio of 5-Variables P. N. Dutta ad Biayak S. Choudhury Departmet of Mathematics Begal Egieerig ad Sciece Uiversity, Shibpur P.O.:

More information

The pp conjecture for the space of orderings of the field R(x,y)

The pp conjecture for the space of orderings of the field R(x,y) The pp cojecture for the space of orderigs of the field R(x,y) Pawe l G ladki Departmet of Mathematics ad Statistics, Uiversity of Saskatchewa, 106 Wiggis Road, Saskatoo, SK, Caada, S7N 5E6 gladki@math.usask.ca

More information

5 Many points of continuity

5 Many points of continuity Tel Aviv Uiversity, 2013 Measure ad category 40 5 May poits of cotiuity 5a Discotiuous derivatives.............. 40 5b Baire class 1 (classical)............... 42 5c Baire class 1 (moder)...............

More information

An Intuitionistic fuzzy count and cardinality of Intuitionistic fuzzy sets

An Intuitionistic fuzzy count and cardinality of Intuitionistic fuzzy sets Malaya Joural of Matematik 4(1)(2013) 123 133 A Ituitioistic fuzzy cout ad cardiality of Ituitioistic fuzzy sets B. K. Tripathy a, S. P. Jea b ad S. K. Ghosh c, a School of Computig Scieces ad Egieerig,

More information

Solutions to Tutorial 5 (Week 6)

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

More information

Math 132, Fall 2009 Exam 2: Solutions

Math 132, Fall 2009 Exam 2: Solutions Math 3, Fall 009 Exam : Solutios () a) ( poits) Determie for which positive real umbers p, is the followig improper itegral coverget, ad for which it is diverget. Evaluate the itegral for each value of

More information

On an axiomatization of the quasi-arithmetic mean values without the symmetry axiom

On an axiomatization of the quasi-arithmetic mean values without the symmetry axiom O a axiomatizatio of the quasi-arithmetic mea values without the symmetry axiom Jea-Luc Marichal Departmet of Maagemet, FEGSS, Uiversity of Liège Boulevard du Rectorat 7 - B31, B-4000 Liège, Belgium Email:

More information

In this section, we show how to use the integral test to decide whether a series

In this section, we show how to use the integral test to decide whether a series Itegral Test Itegral Test Example Itegral Test Example p-series Compariso Test Example Example 2 Example 3 Example 4 Example 5 Exa Itegral Test I this sectio, we show how to use the itegral test to decide

More information

Math 10A final exam, December 16, 2016

Math 10A final exam, December 16, 2016 Please put away all books, calculators, cell phoes ad other devices. You may cosult a sigle two-sided sheet of otes. Please write carefully ad clearly, USING WORDS (ot just symbols). Remember that the

More information

On an axiomatization of the quasi-arithmetic mean values without the symmetry axiom

On an axiomatization of the quasi-arithmetic mean values without the symmetry axiom O a axiomatizatio of the quasi-arithmetic mea values without the symmetry axiom Jea-Luc Marichal Departmet of Maagemet, FEGSS, Uiversity of Liège Boulevard du Rectorat 7 - B31, B-4000 Liège, Belgium jl.marichal[at]ulg.ac.be

More information

Estimation of a population proportion March 23,

Estimation of a population proportion March 23, 1 Social Studies 201 Notes for March 23, 2005 Estimatio of a populatio proportio Sectio 8.5, p. 521. For the most part, we have dealt with meas ad stadard deviatios this semester. This sectio of the otes

More information

PRELIM PROBLEM SOLUTIONS

PRELIM PROBLEM SOLUTIONS PRELIM PROBLEM SOLUTIONS THE GRAD STUDENTS + KEN Cotets. Complex Aalysis Practice Problems 2. 2. Real Aalysis Practice Problems 2. 4 3. Algebra Practice Problems 2. 8. Complex Aalysis Practice Problems

More information

The Borel hierarchy classifies subsets of the reals by their topological complexity. Another approach is to classify them by size.

The Borel hierarchy classifies subsets of the reals by their topological complexity. Another approach is to classify them by size. Lecture 7: Measure ad Category The Borel hierarchy classifies subsets of the reals by their topological complexity. Aother approach is to classify them by size. Filters ad Ideals The most commo measure

More information

A NOTE ON INVARIANT SETS OF ITERATED FUNCTION SYSTEMS

A NOTE ON INVARIANT SETS OF ITERATED FUNCTION SYSTEMS Acta Math. Hugar., 2007 DOI: 10.1007/s10474-007-7013-6 A NOTE ON INVARIANT SETS OF ITERATED FUNCTION SYSTEMS L. L. STACHÓ ad L. I. SZABÓ Bolyai Istitute, Uiversity of Szeged, Aradi vértaúk tere 1, H-6720

More information

The Interval of Convergence for a Power Series Examples

The Interval of Convergence for a Power Series Examples The Iterval of Covergece for a Power Series Examples To review the process: How to Test a Power Series for Covergece. Fid the iterval where the series coverges absolutely. We have to use the Ratio or Root

More information

MATH 324 Summer 2006 Elementary Number Theory Solutions to Assignment 2 Due: Thursday July 27, 2006

MATH 324 Summer 2006 Elementary Number Theory Solutions to Assignment 2 Due: Thursday July 27, 2006 MATH 34 Summer 006 Elemetary Number Theory Solutios to Assigmet Due: Thursday July 7, 006 Departmet of Mathematical ad Statistical Scieces Uiversity of Alberta Questio [p 74 #6] Show that o iteger of the

More information

PAijpam.eu ON DERIVATION OF RATIONAL SOLUTIONS OF BABBAGE S FUNCTIONAL EQUATION

PAijpam.eu ON DERIVATION OF RATIONAL SOLUTIONS OF BABBAGE S FUNCTIONAL EQUATION Iteratioal Joural of Pure ad Applied Mathematics Volume 94 No. 204, 9-20 ISSN: 3-8080 (prited versio); ISSN: 34-3395 (o-lie versio) url: http://www.ijpam.eu doi: http://dx.doi.org/0.2732/ijpam.v94i.2 PAijpam.eu

More information

Formation of A Supergain Array and Its Application in Radar

Formation of A Supergain Array and Its Application in Radar Formatio of A Supergai Array ad ts Applicatio i Radar Tra Cao Quye, Do Trug Kie ad Bach Gia Duog. Research Ceter for Electroic ad Telecommuicatios, College of Techology (Coltech, Vietam atioal Uiversity,

More information