COMPARISON TESTS. Determine whether the following series converges or diverges n : n=1 : 4. 4 n = n < 1

Size: px
Start display at page:

Download "COMPARISON TESTS. Determine whether the following series converges or diverges n : n=1 : 4. 4 n = n < 1"

Transcription

1 MTH 6 COMPARISON TESTS Compariso Test for Covergece Example. Solutio. For every, Sice P = X = + + < = is a coverget geometric series (for r = < ), the give series coverges by the Compariso Test for Covergece. Example. Solutio. For every, Sice P = = for Covergece. Example. X = is a coverget p-series (for p = p + p + < p = = > ), the give series coverges by the Compariso Test X = + ( + ) Solutio. For every, + ( + ) < + ( = 8 ) = 8 ; because we icrease the umerator ad decrease the deomiator. Sice P series (for r = < ), the give series coverges by the Compariso Test for Covergece. Example. Solutio. For every, = X = + p 7= p + < = 7 7= = = because we icrease the umerator ad decrease the deomiator. Sice P = is a coverget geometric = (for p = > ), the give series coverges by the Compariso Test for Covergece. is a coverget p-series

2 Example. X = l () = Solutio. It should be oted that l (x) < x for x > 0 (see the gure below). For every, Sice P = = for Covergece. is a coverget p-series (for p = Compariso Test for Divergece l () = < = = = > ), the give series coverges by the Compariso Test Example 6. Solutio. For every, Sice P = Divergece. = X = p p > p = = is a diverget p-series (for p = < ), the give series diverges by the Compariso Test for Example 7. X = p + Solutio. For every, p p p + > + = = =

3 Sice P = Divergece. = is a diverget p-series (for p = < ), the give series diverges by the Compariso Test for Example 8. Solutio. For every, Sice P = Divergece. = X = p + p + > p + = p = 8 = is a diverget p-series (for p = < ), the give series diverges by the Compariso Test for Example 9. X = + Solutio. For every, + < + = so that + > Sice P = + > = > ad thus is the diverget harmoic series, the give series diverges by the Compariso Test for Divergece. Example 0. X = + si () p + Solutio. Note that si () 0 for all. For every, + si () p > p p = + + = because we decrease the umerator ad icrease the deomiator. Sice P p = < ), the give series diverges by the Compariso Test for Divergece. Limit Compariso Test Example. Solutio. = = X = e ( + ) We shall apply the Limit Compariso Test with is a diverget p-series (for Sice a! b! a = e ( + ) ad b = e = e (+) e = lim! ( + ) = lim! e + = 0 ( + 0) = > 0

4 ad P = e is a coverget geometric series (for r = e < ), the give series also coverges Example. the Solutio. Sice P Test. = If we let a! b! X = a = p p = lim p! p ad b = ; = lim! q = p 0 = > 0 is a coverget p-series (for p = > ), the give series also coverges by the Limit Compariso Example. X si = Solutio. If we let a = si the it follows from the l Hôpital s Rule that a si = lim! b!! Sice P Test. = cos ad b = ; = lim cos! = cos (0) = > 0 is the diverget harmoic series, the give series also diverges i view of the Limit Compariso Example. X = l + Solutio. Cosider By virtue of the l Hôpital s Rule, Sice P = a! b! l + a = l + = lim! ad b = [ l ()] + = lim l ()! + = + 0 = > 0 is a coverget geometric series (for r = < ), the give series also coverges i view of the Limit Compariso Test. Example. X = +

5 Solutio. Cosider By virtue of the l Hôpital s Rule, a = + ad b = a! b! + = lim! + = lim! + = + 0 = > 0 P Sice is diverget geometric series (for r = > ), the give series also diverges i view of the Limit = Compariso Test.

4.3. The Integral and Comparison Tests

4.3. The Integral and Comparison Tests 4.3. THE INTEGRAL AND COMPARISON TESTS 9 4.3. The Itegral ad Compariso Tests 4.3.. The Itegral Test. Suppose f is a cotiuous, positive, decreasig fuctio o [, ), ad let a = f(). The the covergece or divergece

More information

SAMPLE QUESTIONS FOR FINAL EXAM. (1) (2) (3) (4) Find the following using the definition of the Riemann integral: (2x + 1)dx

SAMPLE QUESTIONS FOR FINAL EXAM. (1) (2) (3) (4) Find the following using the definition of the Riemann integral: (2x + 1)dx SAMPLE QUESTIONS FOR FINAL EXAM REAL ANALYSIS I FALL 006 3 4 Fid the followig usig the defiitio of the Riema itegral: a 0 x + dx 3 Cosider the partitio P x 0 3, x 3 +, x 3 +,......, x 3 3 + 3 of the iterval

More information

Theorems About Power Series

Theorems About Power Series Physics 6A Witer 20 Theorems About Power Series Cosider a power series, f(x) = a x, () where the a are real coefficiets ad x is a real variable. There exists a real o-egative umber R, called the radius

More information

Section 11.3: The Integral Test

Section 11.3: The Integral Test Sectio.3: The Itegral Test Most of the series we have looked at have either diverged or have coverged ad we have bee able to fid what they coverge to. I geeral however, the problem is much more difficult

More information

INFINITE SERIES KEITH CONRAD

INFINITE SERIES KEITH CONRAD INFINITE SERIES KEITH CONRAD. Itroductio The two basic cocepts of calculus, differetiatio ad itegratio, are defied i terms of limits (Newto quotiets ad Riema sums). I additio to these is a third fudametal

More information

a 4 = 4 2 4 = 12. 2. Which of the following sequences converge to zero? n 2 (a) n 2 (b) 2 n x 2 x 2 + 1 = lim x n 2 + 1 = lim x

a 4 = 4 2 4 = 12. 2. Which of the following sequences converge to zero? n 2 (a) n 2 (b) 2 n x 2 x 2 + 1 = lim x n 2 + 1 = lim x 0 INFINITE SERIES 0. Sequeces Preiary Questios. What is a 4 for the sequece a? solutio Substitutig 4 i the expressio for a gives a 4 4 4.. Which of the followig sequeces coverge to zero? a b + solutio

More information

Sequences and Series

Sequences and Series CHAPTER 9 Sequeces ad Series 9.. Covergece: Defiitio ad Examples Sequeces The purpose of this chapter is to itroduce a particular way of geeratig algorithms for fidig the values of fuctios defied by their

More information

Building Blocks Problem Related to Harmonic Series

Building Blocks Problem Related to Harmonic Series TMME, vol3, o, p.76 Buildig Blocks Problem Related to Harmoic Series Yutaka Nishiyama Osaka Uiversity of Ecoomics, Japa Abstract: I this discussio I give a eplaatio of the divergece ad covergece of ifiite

More information

Our aim is to show that under reasonable assumptions a given 2π-periodic function f can be represented as convergent series

Our aim is to show that under reasonable assumptions a given 2π-periodic function f can be represented as convergent series 8 Fourier Series Our aim is to show that uder reasoable assumptios a give -periodic fuctio f ca be represeted as coverget series f(x) = a + (a cos x + b si x). (8.) By defiitio, the covergece of the series

More information

Lecture 4: Cauchy sequences, Bolzano-Weierstrass, and the Squeeze theorem

Lecture 4: Cauchy sequences, Bolzano-Weierstrass, and the Squeeze theorem Lecture 4: Cauchy sequeces, Bolzao-Weierstrass, ad the Squeeze theorem The purpose of this lecture is more modest tha the previous oes. It is to state certai coditios uder which we are guarateed that limits

More information

Infinite Sequences and Series

Infinite Sequences and Series CHAPTER 4 Ifiite Sequeces ad Series 4.1. Sequeces A sequece is a ifiite ordered list of umbers, for example the sequece of odd positive itegers: 1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29...

More information

In nite Sequences. Dr. Philippe B. Laval Kennesaw State University. October 9, 2008

In nite Sequences. Dr. Philippe B. Laval Kennesaw State University. October 9, 2008 I ite Sequeces Dr. Philippe B. Laval Keesaw State Uiversity October 9, 2008 Abstract This had out is a itroductio to i ite sequeces. mai de itios ad presets some elemetary results. It gives the I ite Sequeces

More information

Find the inverse Laplace transform of the function F (p) = Evaluating the residues at the four simple poles, we find. residue at z = 1 is 4te t

Find the inverse Laplace transform of the function F (p) = Evaluating the residues at the four simple poles, we find. residue at z = 1 is 4te t Homework Solutios. Chater, Sectio 7, Problem 56. Fid the iverse Lalace trasform of the fuctio F () (7.6). À Chater, Sectio 7, Problem 6. Fid the iverse Lalace trasform of the fuctio F () usig (7.6). Solutio:

More information

Repeating Decimals are decimal numbers that have number(s) after the decimal point that repeat in a pattern.

Repeating Decimals are decimal numbers that have number(s) after the decimal point that repeat in a pattern. 5.5 Fractios ad Decimals Steps for Chagig a Fractio to a Decimal. Simplify the fractio, if possible. 2. Divide the umerator by the deomiator. d d Repeatig Decimals Repeatig Decimals are decimal umbers

More information

Section 8.3 : De Moivre s Theorem and Applications

Section 8.3 : De Moivre s Theorem and Applications The Sectio 8 : De Moivre s Theorem ad Applicatios Let z 1 ad z be complex umbers, where z 1 = r 1, z = r, arg(z 1 ) = θ 1, arg(z ) = θ z 1 = r 1 (cos θ 1 + i si θ 1 ) z = r (cos θ + i si θ ) ad z 1 z =

More information

Modified Line Search Method for Global Optimization

Modified Line Search Method for Global Optimization Modified Lie Search Method for Global Optimizatio Cria Grosa ad Ajith Abraham Ceter of Excellece for Quatifiable Quality of Service Norwegia Uiversity of Sciece ad Techology Trodheim, Norway {cria, ajith}@q2s.tu.o

More information

Lesson 15 ANOVA (analysis of variance)

Lesson 15 ANOVA (analysis of variance) Outlie Variability -betwee group variability -withi group variability -total variability -F-ratio Computatio -sums of squares (betwee/withi/total -degrees of freedom (betwee/withi/total -mea square (betwee/withi

More information

Properties of MLE: consistency, asymptotic normality. Fisher information.

Properties of MLE: consistency, asymptotic normality. Fisher information. Lecture 3 Properties of MLE: cosistecy, asymptotic ormality. Fisher iformatio. I this sectio we will try to uderstad why MLEs are good. Let us recall two facts from probability that we be used ofte throughout

More information

University of California, Los Angeles Department of Statistics. Distributions related to the normal distribution

University of California, Los Angeles Department of Statistics. Distributions related to the normal distribution Uiversity of Califoria, Los Ageles Departmet of Statistics Statistics 100B Istructor: Nicolas Christou Three importat distributios: Distributios related to the ormal distributio Chi-square (χ ) distributio.

More information

Asymptotic Growth of Functions

Asymptotic Growth of Functions CMPS Itroductio to Aalysis of Algorithms Fall 3 Asymptotic Growth of Fuctios We itroduce several types of asymptotic otatio which are used to compare the performace ad efficiecy of algorithms As we ll

More information

Question 2: How is a loan amortized?

Question 2: How is a loan amortized? Questio 2: How is a loa amortized? Decreasig auities may be used i auto or home loas. I these types of loas, some amout of moey is borrowed. Fixed paymets are made to pay off the loa as well as ay accrued

More information

AP Calculus BC 2003 Scoring Guidelines Form B

AP Calculus BC 2003 Scoring Guidelines Form B AP Calculus BC Scorig Guidelies Form B The materials icluded i these files are iteded for use by AP teachers for course ad exam preparatio; permissio for ay other use must be sought from the Advaced Placemet

More information

Basic Elements of Arithmetic Sequences and Series

Basic Elements of Arithmetic Sequences and Series MA40S PRE-CALCULUS UNIT G GEOMETRIC SEQUENCES CLASS NOTES (COMPLETED NO NEED TO COPY NOTES FROM OVERHEAD) Basic Elemets of Arithmetic Sequeces ad Series Objective: To establish basic elemets of arithmetic

More information

Remarques sur un beau rapport entre les series des puissances tant directes que reciproques

Remarques sur un beau rapport entre les series des puissances tant directes que reciproques Aug 006 Traslatio with otes of Euler s paper Remarques sur u beau rapport etre les series des puissaces tat directes que reciproques Origially published i Memoires de l'academie des scieces de Berli 7

More information

5.4 Amortization. Question 1: How do you find the present value of an annuity? Question 2: How is a loan amortized?

5.4 Amortization. Question 1: How do you find the present value of an annuity? Question 2: How is a loan amortized? 5.4 Amortizatio Questio 1: How do you fid the preset value of a auity? Questio 2: How is a loa amortized? Questio 3: How do you make a amortizatio table? Oe of the most commo fiacial istrumets a perso

More information

10.2 Series and Convergence

10.2 Series and Convergence 10.2 Series and Convergence Write sums using sigma notation Find the partial sums of series and determine convergence or divergence of infinite series Find the N th partial sums of geometric series and

More information

Complex Numbers. where x represents a root of Equation 1. Note that the ± sign tells us that quadratic equations will have

Complex Numbers. where x represents a root of Equation 1. Note that the ± sign tells us that quadratic equations will have Comple Numbers I spite of Calvi s discomfiture, imagiar umbers (a subset of the set of comple umbers) eist ad are ivaluable i mathematics, egieerig, ad sciece. I fact, i certai fields, such as electrical

More information

Chapter 7 - Sampling Distributions. 1 Introduction. What is statistics? It consist of three major areas:

Chapter 7 - Sampling Distributions. 1 Introduction. What is statistics? It consist of three major areas: Chapter 7 - Samplig Distributios 1 Itroductio What is statistics? It cosist of three major areas: Data Collectio: samplig plas ad experimetal desigs Descriptive Statistics: umerical ad graphical summaries

More information

AP Calculus AB 2006 Scoring Guidelines Form B

AP Calculus AB 2006 Scoring Guidelines Form B AP Calculus AB 6 Scorig Guidelies Form B The College Board: Coectig Studets to College Success The College Board is a ot-for-profit membership associatio whose missio is to coect studets to college success

More information

Class Meeting # 16: The Fourier Transform on R n

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

More information

SEQUENCES AND SERIES CHAPTER

SEQUENCES AND SERIES CHAPTER CHAPTER SEQUENCES AND SERIES Whe the Grat family purchased a computer for $,200 o a istallmet pla, they agreed to pay $00 each moth util the cost of the computer plus iterest had bee paid The iterest each

More information

Confidence Intervals

Confidence Intervals Cofidece Itervals Cofidece Itervals are a extesio of the cocept of Margi of Error which we met earlier i this course. Remember we saw: The sample proportio will differ from the populatio proportio by more

More information

Bond Valuation I. What is a bond? Cash Flows of A Typical Bond. Bond Valuation. Coupon Rate and Current Yield. Cash Flows of A Typical Bond

Bond Valuation I. What is a bond? Cash Flows of A Typical Bond. Bond Valuation. Coupon Rate and Current Yield. Cash Flows of A Typical Bond What is a bod? Bod Valuatio I Bod is a I.O.U. Bod is a borrowig agreemet Bod issuers borrow moey from bod holders Bod is a fixed-icome security that typically pays periodic coupo paymets, ad a pricipal

More information

I. Chi-squared Distributions

I. Chi-squared Distributions 1 M 358K Supplemet to Chapter 23: CHI-SQUARED DISTRIBUTIONS, T-DISTRIBUTIONS, AND DEGREES OF FREEDOM To uderstad t-distributios, we first eed to look at aother family of distributios, the chi-squared distributios.

More information

How To Solve The Phemean Problem Of Polar And Polar Coordiates

How To Solve The Phemean Problem Of Polar And Polar Coordiates ISSN 1 746-733, Eglad, UK World Joural of Modellig ad Simulatio Vol. 8 (1) No. 3, pp. 163-171 Alterate treatmets of jacobia sigularities i polar coordiates withi fiite-differece schemes Alexys Bruo-Alfoso

More information

INVESTMENT PERFORMANCE COUNCIL (IPC)

INVESTMENT PERFORMANCE COUNCIL (IPC) INVESTMENT PEFOMANCE COUNCIL (IPC) INVITATION TO COMMENT: Global Ivestmet Performace Stadards (GIPS ) Guidace Statemet o Calculatio Methodology The Associatio for Ivestmet Maagemet ad esearch (AIM) seeks

More information

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES Read Sectio 1.5 (pages 5 9) Overview I Sectio 1.5 we lear to work with summatio otatio ad formulas. We will also itroduce a brief overview of sequeces,

More information

Trigonometric Form of a Complex Number. The Complex Plane. axis. ( 2, 1) or 2 i FIGURE 6.44. The absolute value of the complex number z a bi is

Trigonometric Form of a Complex Number. The Complex Plane. axis. ( 2, 1) or 2 i FIGURE 6.44. The absolute value of the complex number z a bi is 0_0605.qxd /5/05 0:45 AM Page 470 470 Chapter 6 Additioal Topics i Trigoometry 6.5 Trigoometric Form of a Complex Number What you should lear Plot complex umbers i the complex plae ad fid absolute values

More information

Heinrich Voss. Abstract. rational and polynomial approximations of the secular equation f() = 0, the

Heinrich Voss. Abstract. rational and polynomial approximations of the secular equation f() = 0, the ouds for the Miimum Eigevalue of a Symmetric Toeplitz Matrix Heirich Voss Techical Uiversity Hamburg{Harburg, Sectio of Mathematics, D{27 Hamburg, Federal Republic of Germay, e-mail: voss tu-harburg.de

More information

APPLICATION NOTE 30 DFT or FFT? A Comparison of Fourier Transform Techniques

APPLICATION NOTE 30 DFT or FFT? A Comparison of Fourier Transform Techniques APPLICATION NOTE 30 DFT or FFT? A Compariso of Fourier Trasform Techiques This applicatio ote ivestigates differeces i performace betwee the DFT (Discrete Fourier Trasform) ad the FFT(Fast Fourier Trasform)

More information

Katedra Informatiky Fakulta Matematiky, Fyziky a Informatiky Univerzita Komenského, Bratislava. Infinite series: Convergence tests (Bachelor thesis)

Katedra Informatiky Fakulta Matematiky, Fyziky a Informatiky Univerzita Komenského, Bratislava. Infinite series: Convergence tests (Bachelor thesis) Katedra Iformatiky Fakulta Matematiky, Fyziky a Iformatiky Uiverzita Komeského, Bratislava Ifiite series: Covergece tests Bachelor thesis) Frtišek Ďuriš Study programme: 9.2.. Iformatics Supervisor: doc.

More information

THE problem of fitting a circle to a collection of points

THE problem of fitting a circle to a collection of points IEEE TRANACTION ON INTRUMENTATION AND MEAUREMENT, VOL. XX, NO. Y, MONTH 000 A Few Methods for Fittig Circles to Data Dale Umbach, Kerry N. Joes Abstract Five methods are discussed to fit circles to data.

More information

Performance Evaluation of the MSMPS Algorithm under Different Distribution Traffic

Performance Evaluation of the MSMPS Algorithm under Different Distribution Traffic Paper Performace Evaluatio of the MSMPS Algorithm uder Differet Distributio Traffic Grzegorz Dailewicz ad Marci Dziuba Faculty of Electroics ad Telecommuicatios, Poza Uiversity of Techology, Poza, Polad

More information

The Stable Marriage Problem

The Stable Marriage Problem The Stable Marriage Problem William Hut Lae Departmet of Computer Sciece ad Electrical Egieerig, West Virgiia Uiversity, Morgatow, WV William.Hut@mail.wvu.edu 1 Itroductio Imagie you are a matchmaker,

More information

Normal Distribution.

Normal Distribution. Normal Distributio www.icrf.l Normal distributio I probability theory, the ormal or Gaussia distributio, is a cotiuous probability distributio that is ofte used as a first approimatio to describe realvalued

More information

Partial Di erential Equations

Partial Di erential Equations Partial Di eretial Equatios Partial Di eretial Equatios Much of moder sciece, egieerig, ad mathematics is based o the study of partial di eretial equatios, where a partial di eretial equatio is a equatio

More information

Totally Corrective Boosting Algorithms that Maximize the Margin

Totally Corrective Boosting Algorithms that Maximize the Margin Mafred K. Warmuth mafred@cse.ucsc.edu Ju Liao liaoju@cse.ucsc.edu Uiversity of Califoria at Sata Cruz, Sata Cruz, CA 95064, USA Guar Rätsch Guar.Raetsch@tuebige.mpg.de Friedrich Miescher Laboratory of

More information

SOME GEOMETRY IN HIGH-DIMENSIONAL SPACES

SOME GEOMETRY IN HIGH-DIMENSIONAL SPACES SOME GEOMETRY IN HIGH-DIMENSIONAL SPACES MATH 57A. Itroductio Our geometric ituitio is derived from three-dimesioal space. Three coordiates suffice. May objects of iterest i aalysis, however, require far

More information

S. Tanny MAT 344 Spring 1999. be the minimum number of moves required.

S. Tanny MAT 344 Spring 1999. be the minimum number of moves required. S. Tay MAT 344 Sprig 999 Recurrece Relatios Tower of Haoi Let T be the miimum umber of moves required. T 0 = 0, T = 7 Iitial Coditios * T = T + $ T is a sequece (f. o itegers). Solve for T? * is a recurrece,

More information

INVESTMENT PERFORMANCE COUNCIL (IPC) Guidance Statement on Calculation Methodology

INVESTMENT PERFORMANCE COUNCIL (IPC) Guidance Statement on Calculation Methodology Adoptio Date: 4 March 2004 Effective Date: 1 Jue 2004 Retroactive Applicatio: No Public Commet Period: Aug Nov 2002 INVESTMENT PERFORMANCE COUNCIL (IPC) Preface Guidace Statemet o Calculatio Methodology

More information

Example 2 Find the square root of 0. The only square root of 0 is 0 (since 0 is not positive or negative, so those choices don t exist here).

Example 2 Find the square root of 0. The only square root of 0 is 0 (since 0 is not positive or negative, so those choices don t exist here). BEGINNING ALGEBRA Roots ad Radicals (revised summer, 00 Olso) Packet to Supplemet the Curret Textbook - Part Review of Square Roots & Irratioals (This portio ca be ay time before Part ad should mostly

More information

. P. 4.3 Basic feasible solutions and vertices of polyhedra. x 1. x 2

. P. 4.3 Basic feasible solutions and vertices of polyhedra. x 1. x 2 4. Basic feasible solutios ad vertices of polyhedra Due to the fudametal theorem of Liear Programmig, to solve ay LP it suffices to cosider the vertices (fiitely may) of the polyhedro P of the feasible

More information

Lesson 17 Pearson s Correlation Coefficient

Lesson 17 Pearson s Correlation Coefficient Outlie Measures of Relatioships Pearso s Correlatio Coefficiet (r) -types of data -scatter plots -measure of directio -measure of stregth Computatio -covariatio of X ad Y -uique variatio i X ad Y -measurig

More information

Monitoring procedure for parameter change in causal time series

Monitoring procedure for parameter change in causal time series Moitorig procedure for parameter chage i causal time series Jea-Marc Bardet, William Chakry Kege To cite this versio: Jea-Marc Bardet, William Chakry Kege. Moitorig procedure for parameter chage i causal

More information

NEW HIGH PERFORMANCE COMPUTATIONAL METHODS FOR MORTGAGES AND ANNUITIES. Yuri Shestopaloff,

NEW HIGH PERFORMANCE COMPUTATIONAL METHODS FOR MORTGAGES AND ANNUITIES. Yuri Shestopaloff, NEW HIGH PERFORMNCE COMPUTTIONL METHODS FOR MORTGGES ND NNUITIES Yuri Shestopaloff, Geerally, mortgage ad auity equatios do ot have aalytical solutios for ukow iterest rate, which has to be foud usig umerical

More information

Locating Performance Monitoring Mobile Agents in Scalable Active Networks

Locating Performance Monitoring Mobile Agents in Scalable Active Networks Locatig Performace Moitorig Mobile Agets i Scalable Active Networks Amir Hossei Hadad, Mehdi Dehgha, ad Hossei Pedram Amirkabir Uiversity, Computer Sciece Faculty, Tehra, Ira a_haddad@itrc.ac.ir, {dehgha,

More information

.04. This means $1000 is multiplied by 1.02 five times, once for each of the remaining sixmonth

.04. This means $1000 is multiplied by 1.02 five times, once for each of the remaining sixmonth Questio 1: What is a ordiary auity? Let s look at a ordiary auity that is certai ad simple. By this, we mea a auity over a fixed term whose paymet period matches the iterest coversio period. Additioally,

More information

FIBONACCI NUMBERS: AN APPLICATION OF LINEAR ALGEBRA. 1. Powers of a matrix

FIBONACCI NUMBERS: AN APPLICATION OF LINEAR ALGEBRA. 1. Powers of a matrix FIBONACCI NUMBERS: AN APPLICATION OF LINEAR ALGEBRA. Powers of a matrix We begi with a propositio which illustrates the usefuless of the diagoalizatio. Recall that a square matrix A is diogaalizable if

More information

Statistical inference: example 1. Inferential Statistics

Statistical inference: example 1. Inferential Statistics Statistical iferece: example 1 Iferetial Statistics POPULATION SAMPLE A clothig store chai regularly buys from a supplier large quatities of a certai piece of clothig. Each item ca be classified either

More information

The analysis of the Cournot oligopoly model considering the subjective motive in the strategy selection

The analysis of the Cournot oligopoly model considering the subjective motive in the strategy selection The aalysis of the Courot oligopoly model cosiderig the subjective motive i the strategy selectio Shigehito Furuyama Teruhisa Nakai Departmet of Systems Maagemet Egieerig Faculty of Egieerig Kasai Uiversity

More information

WHEN IS THE (CO)SINE OF A RATIONAL ANGLE EQUAL TO A RATIONAL NUMBER?

WHEN IS THE (CO)SINE OF A RATIONAL ANGLE EQUAL TO A RATIONAL NUMBER? WHEN IS THE (CO)SINE OF A RATIONAL ANGLE EQUAL TO A RATIONAL NUMBER? JÖRG JAHNEL 1. My Motivatio Some Sort of a Itroductio Last term I tought Topological Groups at the Göttige Georg August Uiversity. This

More information

Math 113 HW #11 Solutions

Math 113 HW #11 Solutions Math 3 HW # Solutios 5. 4. (a) Estimate the area uder the graph of f(x) = x from x = to x = 4 usig four approximatig rectagles ad right edpoits. Sketch the graph ad the rectagles. Is your estimate a uderestimate

More information

A Note on Sums of Greatest (Least) Prime Factors

A Note on Sums of Greatest (Least) Prime Factors It. J. Cotemp. Math. Scieces, Vol. 8, 203, o. 9, 423-432 HIKARI Ltd, www.m-hikari.com A Note o Sums of Greatest (Least Prime Factors Rafael Jakimczuk Divisio Matemática, Uiversidad Nacioal de Luá Bueos

More information

Research Article Heuristic-Based Firefly Algorithm for Bound Constrained Nonlinear Binary Optimization

Research Article Heuristic-Based Firefly Algorithm for Bound Constrained Nonlinear Binary Optimization Advaces i Operatios Research, Article ID 215182, 12 pages http://dx.doi.org/10.1155/2014/215182 Research Article Heuristic-Based Firefly Algorithm for Boud Costraied Noliear Biary Optimizatio M. Ferada

More information

ON THE DENSE TRAJECTORY OF LASOTA EQUATION

ON THE DENSE TRAJECTORY OF LASOTA EQUATION UNIVERSITATIS IAGELLONICAE ACTA MATHEMATICA, FASCICULUS XLIII 2005 ON THE DENSE TRAJECTORY OF LASOTA EQUATION by Atoi Leo Dawidowicz ad Najemedi Haribash Abstract. I preseted paper the dese trajectory

More information

Chapter 7 Methods of Finding Estimators

Chapter 7 Methods of Finding Estimators Chapter 7 for BST 695: Special Topics i Statistical Theory. Kui Zhag, 011 Chapter 7 Methods of Fidig Estimators Sectio 7.1 Itroductio Defiitio 7.1.1 A poit estimator is ay fuctio W( X) W( X1, X,, X ) of

More information

7.1 Finding Rational Solutions of Polynomial Equations

7.1 Finding Rational Solutions of Polynomial Equations 4 Locker LESSON 7. Fidig Ratioal Solutios of Polyomial Equatios Name Class Date 7. Fidig Ratioal Solutios of Polyomial Equatios Essetial Questio: How do you fid the ratioal roots of a polyomial equatio?

More information

How To Solve The Homewor Problem Beautifully

How To Solve The Homewor Problem Beautifully Egieerig 33 eautiful Homewor et 3 of 7 Kuszmar roblem.5.5 large departmet store sells sport shirts i three sizes small, medium, ad large, three patters plaid, prit, ad stripe, ad two sleeve legths log

More information

BOUNDS FOR THE PRICE OF A EUROPEAN-STYLE ASIAN OPTION IN A BINARY TREE MODEL

BOUNDS FOR THE PRICE OF A EUROPEAN-STYLE ASIAN OPTION IN A BINARY TREE MODEL BOUNDS FOR THE PRICE OF A EUROPEAN-STYLE ASIAN OPTION IN A BINARY TREE MODEL HUGUETTE REYNAERTS, MICHELE VANMAELE, JAN DHAENE ad GRISELDA DEELSTRA,1 Departmet of Applied Mathematics ad Computer Sciece,

More information

Advanced Methods for Security Constrained Financial Transmission Rights (FTR)

Advanced Methods for Security Constrained Financial Transmission Rights (FTR) dvaced Methods for Security ostraied Fiacial Trasmissio Rights (FTR) Stephe Elbert, Steve.Elbert@PNN.gov Kara Kalsi, Kurt Glaesema, Mark Rice, Maria Vlachopoulou, Nig Zhou Pacific Northwest Natioal aboratory,

More information

CME 302: NUMERICAL LINEAR ALGEBRA FALL 2005/06 LECTURE 8

CME 302: NUMERICAL LINEAR ALGEBRA FALL 2005/06 LECTURE 8 CME 30: NUMERICAL LINEAR ALGEBRA FALL 005/06 LECTURE 8 GENE H GOLUB 1 Positive Defiite Matrices A matrix A is positive defiite if x Ax > 0 for all ozero x A positive defiite matrix has real ad positive

More information

Z-TEST / Z-STATISTIC: used to test hypotheses about. µ when the population standard deviation is unknown

Z-TEST / Z-STATISTIC: used to test hypotheses about. µ when the population standard deviation is unknown Z-TEST / Z-STATISTIC: used to test hypotheses about µ whe the populatio stadard deviatio is kow ad populatio distributio is ormal or sample size is large T-TEST / T-STATISTIC: used to test hypotheses about

More information

Solving Logarithms and Exponential Equations

Solving Logarithms and Exponential Equations Solvig Logarithms ad Epoetial Equatios Logarithmic Equatios There are two major ideas required whe solvig Logarithmic Equatios. The first is the Defiitio of a Logarithm. You may recall from a earlier topic:

More information

Doktori értekezés Katona Zsolt 2006

Doktori értekezés Katona Zsolt 2006 Doktori értekezés Katoa Zsolt 2006 Radom Graph Models Doktori értekezés Iformatika Doktori Iskola, Az Iformatika Alapjai program, vezető: Demetrovics Jáos Katoa Zsolt Témavezető: Móri Tamás, doces Eötvös

More information

Finding the circle that best fits a set of points

Finding the circle that best fits a set of points Fidig the circle that best fits a set of poits L. MAISONOBE October 5 th 007 Cotets 1 Itroductio Solvig the problem.1 Priciples............................... Iitializatio.............................

More information

Virtile Reguli And Radiational Optaprints

Virtile Reguli And Radiational Optaprints RANDOM GRAPHS WITH FORBIDDEN VERTEX DEGREES GEOFFREY GRIMMETT AND SVANTE JANSON Abstract. We study the radom graph G,λ/ coditioed o the evet that all vertex degrees lie i some give subset S of the oegative

More information

THE HEIGHT OF q-binary SEARCH TREES

THE HEIGHT OF q-binary SEARCH TREES THE HEIGHT OF q-binary SEARCH TREES MICHAEL DRMOTA AND HELMUT PRODINGER Abstract. q biary search trees are obtaied from words, equipped with the geometric distributio istead of permutatios. The average

More information

A note on weak convergence of the sequential multivariate empirical process under strong mixing SFB 823. Discussion Paper.

A note on weak convergence of the sequential multivariate empirical process under strong mixing SFB 823. Discussion Paper. SFB 823 A ote o weak covergece of the sequetial multivariate empirical process uder strog mixig Discussio Paper Axel Bücher Nr. 17/2013 A ote o weak covergece of the sequetial multivariate empirical process

More information

Heavy Traffic Analysis of a Simple Closed Loop Supply Chain

Heavy Traffic Analysis of a Simple Closed Loop Supply Chain Heavy Traffic Aalysis of a Simple Closed Loop Supply Chai Arka Ghosh, Sarah M. Rya, Lizhi Wag, ad Aada Weerasighe April 8, 2 Abstract We cosider a closed loop supply chai where ew products are produced

More information

Skytron Asset Manager

Skytron Asset Manager Skytro Asset Maager Meet Asset Maager Skytro Asset Maager is a wireless, pateted RFID asset trackig techology specifically desiged for hospital facilities to deliver istat ROI withi a easy to istall, fully

More information

Determining the sample size

Determining the sample size Determiig the sample size Oe of the most commo questios ay statisticia gets asked is How large a sample size do I eed? Researchers are ofte surprised to fid out that the aswer depeds o a umber of factors

More information

NATIONAL SENIOR CERTIFICATE GRADE 12

NATIONAL SENIOR CERTIFICATE GRADE 12 NATIONAL SENIOR CERTIFICATE GRADE MATHEMATICS P EXEMPLAR 04 MARKS: 50 TIME: 3 hours This questio paper cosists of 8 pages ad iformatio sheet. Please tur over Mathematics/P DBE/04 NSC Grade Eemplar INSTRUCTIONS

More information

THE LEAST COMMON MULTIPLE OF A QUADRATIC SEQUENCE

THE LEAST COMMON MULTIPLE OF A QUADRATIC SEQUENCE THE LEAST COMMON MULTIPLE OF A QUADRATIC SEQUENCE JAVIER CILLERUELO Abstract. We obtai, for ay irreducible quadratic olyomial f(x = ax 2 + bx + c, the asymtotic estimate log l.c.m. {f(1,..., f(} log. Whe

More information

Virtual Queuing: An Efficient Algorithm for Bandwidth Management in Resilient Packet Rings

Virtual Queuing: An Efficient Algorithm for Bandwidth Management in Resilient Packet Rings Virtual Queuig: A Efficiet Algorithm for Badwidth Maagemet i Resiliet Packet Rigs Arash Shokrai, Siavash Khorsadi, Ioais Lambadaris, ad Lutful Kha Broadbad Network Laboratory Departmet of Systems ad Computer

More information

CHAPTER 7: Central Limit Theorem: CLT for Averages (Means)

CHAPTER 7: Central Limit Theorem: CLT for Averages (Means) CHAPTER 7: Cetral Limit Theorem: CLT for Averages (Meas) X = the umber obtaied whe rollig oe six sided die oce. If we roll a six sided die oce, the mea of the probability distributio is X P(X = x) Simulatio:

More information

Lipschitz maps and nets in Euclidean space

Lipschitz maps and nets in Euclidean space Lipschitz maps ad ets i Euclidea space Curtis T. McMulle 1 April, 1997 1 Itroductio I this paper we discuss the followig three questios. 1. Give a real-valued fuctio f L (R ) with if f(x) > 0, is there

More information

Article. Worlds Apart: a comparison of epc and epcm contracts

Article. Worlds Apart: a comparison of epc and epcm contracts Article Worlds Apart: a compariso of epc ad epcm cotracts By Nick Hechie, Parter - Costructio & Egieerig April 2008 Worlds Apart: a compariso of epc ad epcm cotracts For may years ow it seems that the

More information

Soving Recurrence Relations

Soving Recurrence Relations Sovig Recurrece Relatios Part 1. Homogeeous liear 2d degree relatios with costat coefficiets. Cosider the recurrece relatio ( ) T () + at ( 1) + bt ( 2) = 0 This is called a homogeeous liear 2d degree

More information

HANDOUT E.17 - EXAMPLES ON BODE PLOTS OF FIRST AND SECOND ORDER SYSTEMS

HANDOUT E.17 - EXAMPLES ON BODE PLOTS OF FIRST AND SECOND ORDER SYSTEMS Lecture 7,8 Augut 8, 00 HANDOUT E7 - EXAMPLES ON BODE PLOTS OF FIRST AND SECOND ORDER SYSTEMS Example Obtai the Bode plot of the ytem give by the trafer fuctio ( We covert the trafer fuctio i the followig

More information

Convexity, Inequalities, and Norms

Convexity, Inequalities, and Norms Covexity, Iequalities, ad Norms Covex Fuctios You are probably familiar with the otio of cocavity of fuctios. Give a twicedifferetiable fuctio ϕ: R R, We say that ϕ is covex (or cocave up) if ϕ (x) 0 for

More information

THE DERIVE - NEWSLETTER #84

THE DERIVE - NEWSLETTER #84 THE DERIVE - NEWSLETTER #84 THE BULLETIN OF THE ISSN 990-7079 USER GROUP C o t e t s: Letter of the Editor Editorial - Preview Stefa Welke 3 Usig Liear Algebra to Explai Some Uexpected Results Rob Gough

More information

Lecture 7: Stationary Perturbation Theory

Lecture 7: Stationary Perturbation Theory Lecture 7: Statioary Perturbatio Theory I most practical applicatios the time idepedet Schrödiger equatio Hψ = Eψ (1) caot be solved exactly ad oe has to resort to some scheme of fidig approximate solutios,

More information

CHAPTER FIVE Network Hydraulics

CHAPTER FIVE Network Hydraulics . ETWOR YDRAULICSE CATER IVE Network ydrauics The fudameta reatioships of coservatio of mass ad eergy mathematicay describe the fow ad pressure distributio withi a pipe etwork uder steady state coditios.

More information

Laws of Exponents. net effect is to multiply with 2 a total of 3 + 5 = 8 times

Laws of Exponents. net effect is to multiply with 2 a total of 3 + 5 = 8 times The Mathematis 11 Competey Test Laws of Expoets (i) multipliatio of two powers: multiply by five times 3 x = ( x x ) x ( x x x x ) = 8 multiply by three times et effet is to multiply with a total of 3

More information

AFM Ch.12 - Practice Test

AFM Ch.12 - Practice Test AFM Ch.2 - Practice Test Multiple Choice Identify the choice that best completes the statement or answers the question.. Form a sequence that has two arithmetic means between 3 and 89. a. 3, 33, 43, 89

More information

MAXIMUM LIKELIHOODESTIMATION OF DISCRETELY SAMPLED DIFFUSIONS: A CLOSED-FORM APPROXIMATION APPROACH. By Yacine Aït-Sahalia 1

MAXIMUM LIKELIHOODESTIMATION OF DISCRETELY SAMPLED DIFFUSIONS: A CLOSED-FORM APPROXIMATION APPROACH. By Yacine Aït-Sahalia 1 Ecoometrica, Vol. 7, No. 1 (Jauary, 22), 223 262 MAXIMUM LIKELIHOODESTIMATION OF DISCRETEL SAMPLED DIFFUSIONS: A CLOSED-FORM APPROXIMATION APPROACH By acie Aït-Sahalia 1 Whe a cotiuous-time diffusio is

More information

A Test of Normality. 1 n S 2 3. n 1. Now introduce two new statistics. The sample skewness is defined as:

A Test of Normality. 1 n S 2 3. n 1. Now introduce two new statistics. The sample skewness is defined as: A Test of Normality Textbook Referece: Chapter. (eighth editio, pages 59 ; seveth editio, pages 6 6). The calculatio of p values for hypothesis testig typically is based o the assumptio that the populatio

More information

Hybrid Neural Network/Modal Method Modeling of Uniaxial Waveguide Discontinuities

Hybrid Neural Network/Modal Method Modeling of Uniaxial Waveguide Discontinuities 70 NTERNTONL JOURNL OF MCROWVE ND OPTCL TECHNOLOGY, VOL.6, NO., MRCH 0 Hyrid Neural Networ/Modal Method Modelig of Uiaxial Waveguide Discotiuities M. Yahia* +#, J. W. Tao, H. Bezia #3, M. N. delrim +#4

More information

Repeated multiplication is represented using exponential notation, for example:

Repeated multiplication is represented using exponential notation, for example: Appedix A: The Lws of Expoets Expoets re short-hd ottio used to represet my fctors multiplied together All of the rules for mipultig expoets my be deduced from the lws of multiplictio d divisio tht you

More information