Logarithms APPENDIX IV. 265 Appendix

Size: px
Start display at page:

Download "Logarithms APPENDIX IV. 265 Appendix"

Transcription

1 APPENDIX IV Logarithms Sometimes, a umerical expressio may ivolve multiplicatio, divisio or ratioal powers of large umbers. For such calculatios, logarithms are very useful. They help us i makig difficult calculatios easy. I Chemistry, logarithm values are required i solvig problems of chemical kietics, thermodyamics, electrochemistry, etc. We shall first itroduce this cocept, ad discuss the laws, which will have to be followed i workig with logarithms, ad the apply this techique to a umber of problems to show how it makes difficult calculatios simple. We kow that = 8, = 9, = 1, 0 = 1 I geeral, for a positive real umber a, ad a ratioal umber m, let a m = b, where b is a real umber. I other words the m th power of base a is b. Aother way of statig the same fact is logarithm of b to base a is m. If for a positive real umber a, a 1 a m = b, we say that m is the logarithm of b to the base a. We write this as b log a = m, log beig the abbreviatio of the word logarithm. Thus, we have log 8 =, Sice = 8 log 9 =, Sice = 9 1 log =, Sice = 1 log 1 = 0, 0 Sice = 1 Laws of Logarithms I the followig discussio, we shall take logarithms to ay base a, (a > 0 ad a 1) First Law: log a (m) = log a m + log a Proof: Suppose that log a m = x ad log a = y The a x = m, a y = Hece m = a x.a y = a x+y It ow follows from the defiitio of logarithms that log a (m) = x + y = log a m log a m Secod Law: log a = log a m log a Proof: Let log a m = x, log a = y 6 Appedix

2 The a x = m, a y = m Hece Therefore x a = = a y a x y m loga = x y = loga m loga Third Law : log a (m ) = log a m Proof : As before, if log a m = x, the a x x x m = a = a The ( ) = m givig log a (m ) = x = log a m Thus accordig to First Law: the log of the product of two umbers is equal to the sum of their logs. Similarly, the Secod Law says: the log of the ratio of two umbers is the differece of their logs. Thus, the use of these laws coverts a problem of multiplicatio / divisio ito a problem of additio/ subtractio, which are far easier to perform tha multiplicatio/divisio. That is why logarithms are so useful i all umerical computatios. Logarithms to Base 10 Because umber 10 is the base of writig umbers, it is very coveiet to use logarithms to the base 10. Some examples are: log = 1, sice 10 1 = 10 log =, sice 10 = 100 log = 4, sice 10 4 = log =, sice 10 = 0.01 log =, sice 10 = ad log 10 1 = 0 sice 10 0 = 1 The above results idicate that if is a itegral power of 10, i.e., 1 followed by several zeros or 1 preceded by several zeros immediately to the right of the decimal poit, the log ca be easily foud. If is ot a itegral power of 10, the it is ot easy to calculate log. But mathematicias have made tables from which we ca read off approximate value of the logarithm of ay positive umber betwee 1 ad 10. Ad these are sufficiet for us to calculate the logarithm of ay umber expressed i decimal form. For this purpose, we always express the give decimal as the product of a itegral power of 10 ad a umber betwee 1 ad 10. Stadard Form of Decimal We ca express ay umber i decimal form, as the product of (i) a itegral power of 10, ad (ii) a umber betwee 1 ad 10. Here are some examples: (i). lies betwee 10 ad 100. = = (ii) lies betwee 1000 ad = = (iii) 0.00 lies betwee ad = ( ) 10 =.0 10 (iv) lies betwee ad = ( ) 10 4 = Chemistry 66

3 I each case, we divide or multiply the decimal by a power of 10, to brig oe o-zero digit to the left of the decimal poit, ad do the reverse operatio by the same power of 10, idicated separately. Thus, ay positive decimal ca be writte i the form = m 10 p where p is a iteger (positive, zero or egative) ad 1< m < 10. This is called the stadard form of. Workig Rule 1. Move the decimal poit to the left, or to the right, as may be ecessary, to brig oe o-zero digit to the left of decimal poit.. (i) If you move p places to the left, multiply by 10 p. (ii) If you move p places to the right, multiply by 10 p. (iii) If you do ot move the decimal poit at all, multiply by (iv) Write the ew decimal obtaied by the power of 10 (of step ) to obtai the stadard form of the give decimal. Characteristic ad Matissa Cosider the stadard form of = m 10 p, where 1 < m < 10 Takig logarithms to the base 10 ad usig the laws of logarithms log = log m + log 10 p = log m + p log 10 = p + log m Here p is a iteger ad as 1 < m < 10, so 0 < log m < 1, i.e., m lies betwee 0 ad 1. Whe log has bee expressed as p + log m, where p is a iteger ad 0 log m < 1, we say that p is the characteristic of log ad that log m is the matissa of log. Note that characteristic is always a iteger positive, egative or zero, ad matissa is ever egative ad is always less tha 1. If we ca fid the characteristics ad the matissa of log, we have to just add them to get log. Thus to fid log, all we have to do is as follows: 1. Put i the stadard form, say = m 10 p, 1 < m <10. Read off the characteristic p of log from this expressio (expoet of 10).. Look up log m from tables, which is beig explaied below. 4. Write log = p + log m If the characteristic p of a umber is say, ad the matissa is.41, the we have log = +.41 which we ca write as.41. If, however, the characteristic p of a umber m is say ad the matissa is.41, the we have log m = We caot write this as.41. (Why?) I order to avoid this cofusio we write for ad thus we write log m =.41. Now let us explai how to use the table of logarithms to fid matissas. A table is appeded at the ed of this Appedix. Observe that i the table, every row starts with a two digit umber, 10, 11, 1,. 9, 98, 99. Every colum is headed by a oe-digit umber, 0, 1,,.9. O the right, we have the sectio called Mea differeces which has 9 colums headed by 1, Now suppose we wish to fid log (6.4). The look ito the row startig with 6. I this row, look 6 Appedix

4 at the umber i the colum headed by. The umber is 94. This meas that log (6.0) = 0.94* But we wat log (6.4). So our aswer will be a little more tha How much more? We look this up i the sectio o Mea differeces. Sice our fourth digit is 4, look uder the colum headed by 4 i the Mea differece sectio (i the row 6). We see the umber there. So add to 94. We get 948. So we fially have log (6.4) = Take aother example. To fid log (8.1), we look i the row 81 uder colum, ad we fid We cotiue i the same row ad see that the mea differece uder is 4. Addig this to 9096, ad we get So, log (8.1) = Fidig N whe log N is give We have so far discussed the procedure for fidig log whe a positive umber give. We ow tur to its coverse i.e., to fid whe log is give ad give a method for this purpose. If log = t, we sometimes say = atilog t. Therefore our task is give t, fid its atilog. For this, we use the readymade atilog tables. Suppose log =.. To fid, first take just the matissa of log. I this case it is.. (Make sure it is positive.) Now take up atilog of this umber i the atilog table which is to be used exactly like the log table. I the atilog table, the etry uder colum i the row. is 44 ad the mea differece for the last digit i that row is, so the table gives 44. Hece, atilog (.) =.44 Now sice log =., the characteristic of log is. So the stadard form of is give by = or = 44. Illustratio 1: If log x = 1.01, fid x. Solutio: We fid that the umber correspodig to 01 is 119. Sice characteristic of log x is 1, we have x = = 11.9 Illustratio : If log x =.1, fid x. Solutio: From atilog tables, we fid that the umber correspodig to 1 is 166. Sice the characteristic is i.e.,, so x = = Use of Logarithms i Numerical Calculatios Illustratio 1: Fid Solutio: Let x = The log x = log (6. 1.9) = log 6. + log 1.9 Now, log 6. = 0.99 log 1.9 = log x = , Takig atilog * It should, however, be oted that the values give i the table are ot exact. They are oly approximate values, although we use the sig of equality which may give the impressio that they are exact values. The same covetio will be followed i respect of atilogarithm of a umber. Chemistry 68

5 x = 8.1 Illustratio : 1. (1.) Fid 11.. Solutio: Let x = The log x = log (1.) 11.. (1.) 11.. = log 1. log (11..) = log 1. log 11.. Now, log 1. = log 1. = log 11. = log. = 1.11 log x = =.14 x = Illustratio : Fid (1.4) 6 (.) 1 Solutio: Let x = (1.4) 6 (.) 1 The log x = 1 log (1.4) 6 (.) 1 = 1 [log (1.4) + log 6 log (.) log 1] = log log 6 log. 1 log Now, usig log tables log 1.4 = 1.8 log 6 = 1.48 log. = 0.61 log 1 = 1. log x = log (1.8) + 1 (1.48) (0.61) 1 (1.) 4 4 =.4 x = Appedix

Ch 9 Sequences, Series, and Probability

Ch 9 Sequences, Series, and Probability Ch 9 Sequeces, Series, ad Probability Have you ever bee to a casio ad played blackjack? It is the oly game i the casio that you ca wi based o the Law of large umbers. I the early 1990s a group of math

More information

Roberto s Notes on Infinite Series Chapter 1: Series Section 2. Infinite series

Roberto s Notes on Infinite Series Chapter 1: Series Section 2. Infinite series Roberto s Notes o Ifiite Series Chapter : Series Sectio Ifiite series What you eed to ow already: What sequeces are. Basic termiology ad otatio for sequeces. What you ca lear here: What a ifiite series

More information

Permutation Enumeration

Permutation Enumeration RMT 2012 Power Roud Rubric February 18, 2012 Permutatio Eumeratio 1 (a List all permutatios of {1, 2, 3} (b Give a expressio for the umber of permutatios of {1, 2, 3,, } i terms of Compute the umber for

More information

x y z HD(x, y) + HD(y, z) HD(x, z)

x y z HD(x, y) + HD(y, z) HD(x, z) Massachusetts Istitute of Techology Departmet of Electrical Egieerig ad Computer Sciece 6.02 Solutios to Chapter 5 Updated: February 16, 2012 Please sed iformatio about errors or omissios to hari; questios

More information

Grade 6 Math Review Unit 3(Chapter 1) Answer Key

Grade 6 Math Review Unit 3(Chapter 1) Answer Key Grade 6 Math Review Uit (Chapter 1) Aswer Key 1. A) A pottery makig class charges a registratio fee of $25.00. For each item of pottery you make you pay a additioal $5.00. Write a expressio to represet

More information

x 1 + x x n n = x 1 x 2 + x x n n = x 2 x 3 + x x n n = x 3 x 5 + x x n = x n

x 1 + x x n n = x 1 x 2 + x x n n = x 2 x 3 + x x n n = x 3 x 5 + x x n = x n Sectio 6 7A Samplig Distributio of the Sample Meas To Create a Samplig Distributio of the Sample Meas take every possible sample of size from the distributio of x values ad the fid the mea of each sample

More information

Unit 5: Estimating with Confidence

Unit 5: Estimating with Confidence Uit 5: Estimatig with Cofidece Sectio 8.2 The Practice of Statistics, 4 th editio For AP* STARNES, YATES, MOORE Uit 5 Estimatig with Cofidece 8.1 8.2 8.3 Cofidece Itervals: The Basics Estimatig a Populatio

More information

CP 405/EC 422 MODEL TEST PAPER - 1 PULSE & DIGITAL CIRCUITS. Time: Three Hours Maximum Marks: 100

CP 405/EC 422 MODEL TEST PAPER - 1 PULSE & DIGITAL CIRCUITS. Time: Three Hours Maximum Marks: 100 PULSE & DIGITAL CIRCUITS Time: Three Hours Maximum Marks: 0 Aswer five questios, takig ANY TWO from Group A, ay two from Group B ad all from Group C. All parts of a questio (a, b, etc. ) should be aswered

More information

General Model :Algorithms in the Real World. Applications. Block Codes

General Model :Algorithms in the Real World. Applications. Block Codes Geeral Model 5-853:Algorithms i the Real World Error Correctig Codes I Overview Hammig Codes Liear Codes 5-853 Page message (m) coder codeword (c) oisy chael decoder codeword (c ) message or error Errors

More information

4.3 COLLEGE ALGEBRA. Logarithms. Logarithms. Logarithms 11/5/2015. Logarithmic Functions

4.3 COLLEGE ALGEBRA. Logarithms. Logarithms. Logarithms 11/5/2015. Logarithmic Functions 0 TH EDITION COLLEGE ALGEBRA 4. Logarithic Fuctios Logarithic Equatios Logarithic Fuctios Properties of LIAL HORNSBY SCHNEIDER 4. - 4. - The previous sectio dealt with epoetial fuctios of the for y = a

More information

PERMUTATIONS AND COMBINATIONS

PERMUTATIONS AND COMBINATIONS www.sakshieducatio.com PERMUTATIONS AND COMBINATIONS OBJECTIVE PROBLEMS. There are parcels ad 5 post-offices. I how may differet ways the registratio of parcel ca be made 5 (a) 0 (b) 5 (c) 5 (d) 5. I how

More information

3. Error Correcting Codes

3. Error Correcting Codes 3. Error Correctig Codes Refereces V. Bhargava, Forward Error Correctio Schemes for Digital Commuicatios, IEEE Commuicatios Magazie, Vol 21 No1 11 19, Jauary 1983 Mischa Schwartz, Iformatio Trasmissio

More information

Lecture 4: Frequency Reuse Concepts

Lecture 4: Frequency Reuse Concepts EE 499: Wireless & Mobile Commuicatios (8) Lecture 4: Frequecy euse Cocepts Distace betwee Co-Chael Cell Ceters Kowig the relatio betwee,, ad, we ca easily fid distace betwee the ceter poits of two co

More information

PERMUTATIONS AND COMBINATIONS

PERMUTATIONS AND COMBINATIONS Chapter 7 PERMUTATIONS AND COMBINATIONS Every body of discovery is mathematical i form because there is o other guidace we ca have DARWIN 7.1 Itroductio Suppose you have a suitcase with a umber lock. The

More information

7. Counting Measure. Definitions and Basic Properties

7. Counting Measure. Definitions and Basic Properties Virtual Laboratories > 0. Foudatios > 1 2 3 4 5 6 7 8 9 7. Coutig Measure Defiitios ad Basic Properties Suppose that S is a fiite set. If A S the the cardiality of A is the umber of elemets i A, ad is

More information

CHAPTER 5 A NEAR-LOSSLESS RUN-LENGTH CODER

CHAPTER 5 A NEAR-LOSSLESS RUN-LENGTH CODER 95 CHAPTER 5 A NEAR-LOSSLESS RUN-LENGTH CODER 5.1 GENERAL Ru-legth codig is a lossless image compressio techique, which produces modest compressio ratios. Oe way of icreasig the compressio ratio of a ru-legth

More information

A Novel Three Value Logic for Computing Purposes

A Novel Three Value Logic for Computing Purposes Iteratioal Joural o Iormatio ad Electroics Egieerig, Vol. 3, No. 4, July 23 A Novel Three Value Logic or Computig Purposes Ali Soltai ad Saeed Mohammadi Abstract The aim o this article is to suggest a

More information

arxiv: v2 [math.co] 15 Oct 2018

arxiv: v2 [math.co] 15 Oct 2018 THE 21 CARD TRICK AND IT GENERALIZATION DIBYAJYOTI DEB arxiv:1809.04072v2 [math.co] 15 Oct 2018 Abstract. The 21 card trick is well kow. It was recetly show i a episode of the popular YouTube chael Numberphile.

More information

Combinatorics. Chapter Permutations. Reading questions. Counting Problems. Counting Technique: The Product Rule

Combinatorics. Chapter Permutations. Reading questions. Counting Problems. Counting Technique: The Product Rule Chapter 3 Combiatorics 3.1 Permutatios Readig questios 1. Defie what a permutatio is i your ow words. 2. What is a fixed poit i a permutatio? 3. What do we assume about mutual disjoitedess whe creatig

More information

MEI Core 2. Logarithms and exponentials. Section 2: Modelling curves using logarithms. Modelling curves of the form y kx

MEI Core 2. Logarithms and exponentials. Section 2: Modelling curves using logarithms. Modelling curves of the form y kx MEI Core 2 Logarithms ad eoetials Sectio 2: Modellig curves usig logarithms Notes ad Eamles These otes cotai subsectios o: Modellig curves of the form y = k Modellig curves of the form y = ka Modellig

More information

A Math Learning Center publication adapted and arranged by. EUGENE MAIER and LARRY LINNEN

A Math Learning Center publication adapted and arranged by. EUGENE MAIER and LARRY LINNEN A Math Learig Ceter publicatio adapted ad arraged by EUGENE MAIER ad LARRY LINNEN ALGEBRA THROUGH VISUAL PATTERNS, VOLUME 1 A Math Learig Ceter Resource Copyright 2005, 2004 by The Math Learig Ceter, PO

More information

Extra Practice 1. Name Date. Lesson 1.1: Patterns in Division

Extra Practice 1. Name Date. Lesson 1.1: Patterns in Division Master 1.22 Extra Practice 1 Lesso 1.1: Patters i Divisio 1. Which umbers are divisible by 4? By 5? How do you kow? a) 90 b) 134 c) 395 d) 1724 e) 30 f) 560 g) 3015 h) 74 i) 748 2. Write a 5-digit umber

More information

X-Bar and S-Squared Charts

X-Bar and S-Squared Charts STATGRAPHICS Rev. 7/4/009 X-Bar ad S-Squared Charts Summary The X-Bar ad S-Squared Charts procedure creates cotrol charts for a sigle umeric variable where the data have bee collected i subgroups. It creates

More information

PERMUTATION AND COMBINATION

PERMUTATION AND COMBINATION MPC 1 PERMUTATION AND COMBINATION Syllabus : Fudametal priciples of coutig; Permutatio as a arragemet ad combiatio as selectio, Meaig of P(, r) ad C(, r). Simple applicatios. Permutatios are arragemets

More information

H2 Mathematics Pure Mathematics Section A Comprehensive Checklist of Concepts and Skills by Mr Wee Wen Shih. Visit: wenshih.wordpress.

H2 Mathematics Pure Mathematics Section A Comprehensive Checklist of Concepts and Skills by Mr Wee Wen Shih. Visit: wenshih.wordpress. H2 Mathematics Pure Mathematics Sectio A Comprehesive Checklist of Cocepts ad Skills by Mr Wee We Shih Visit: weshih.wordpress.com Updated: Ja 2010 Syllabus topic 1: Fuctios ad graphs 1.1 Checklist o Fuctios

More information

Application of Improved Genetic Algorithm to Two-side Assembly Line Balancing

Application of Improved Genetic Algorithm to Two-side Assembly Line Balancing 206 3 rd Iteratioal Coferece o Mechaical, Idustrial, ad Maufacturig Egieerig (MIME 206) ISBN: 978--60595-33-7 Applicatio of Improved Geetic Algorithm to Two-side Assembly Lie Balacig Ximi Zhag, Qia Wag,

More information

Counting on r-fibonacci Numbers

Counting on r-fibonacci Numbers Claremot Colleges Scholarship @ Claremot All HMC Faculty Publicatios ad Research HMC Faculty Scholarship 5-1-2015 Coutig o r-fiboacci Numbers Arthur Bejami Harvey Mudd College Curtis Heberle Harvey Mudd

More information

POWERS OF 3RD ORDER MAGIC SQUARES

POWERS OF 3RD ORDER MAGIC SQUARES Fuzzy Sets, Rough Sets ad Multivalued Operatios ad Applicatios, Vol. 4, No. 1, (Jauary-Jue 01): 37 43 Iteratioal Sciece Press POWERS OF 3RD ORDER MAGIC SQUARES Sreerajii K.S. 1 ad V. Madhukar Mallayya

More information

On Parity based Divide and Conquer Recursive Functions

On Parity based Divide and Conquer Recursive Functions O Parity based Divide ad Coquer Recursive Fuctios Sug-Hyu Cha Abstract The parity based divide ad coquer recursio trees are itroduced where the sizes of the tree do ot grow mootoically as grows. These

More information

Math 140 Introductory Statistics

Math 140 Introductory Statistics 6. Probability Distributio from Data Math Itroductory Statistics Professor Silvia Ferádez Chapter 6 Based o the book Statistics i Actio by A. Watkis, R. Scheaffer, ad G. Cobb. We have three ways of specifyig

More information

You Think You ve Got Problems? Marc Brodie Associate Professor of Mathematics, WJU

You Think You ve Got Problems? Marc Brodie Associate Professor of Mathematics, WJU You Thik You ve Got Problems? Marc Brodie Associate Professor of Mathematics, WJU Itroductio. My life, like that of ay other s, has its share of problems. I cosider myself fortuate, however, to have more

More information

Final exam PS 30 December 2009

Final exam PS 30 December 2009 Fial exam PS 30 December 2009 Name: UID: TA ad sectio umber: This is a closed book exam. The oly thig you ca take ito this exam is yourself ad writig istrumets. Everythig you write should be your ow work.

More information

A study on the efficient compression algorithm of the voice/data integrated multiplexer

A study on the efficient compression algorithm of the voice/data integrated multiplexer A study o the efficiet compressio algorithm of the voice/data itegrated multiplexer Gyou-Yo CHO' ad Dog-Ho CHO' * Dept. of Computer Egieerig. KyiigHee Uiv. Kiheugup Yogiku Kyuggido, KOREA 449-71 PHONE

More information

Discrete Mathematics and Probability Theory Spring 2014 Anant Sahai Note 12

Discrete Mathematics and Probability Theory Spring 2014 Anant Sahai Note 12 EECS 70 Discrete Mathematics ad Probability Theory Sprig 204 Aat Sahai Note 2 Probability Examples Based o Coutig We will ow look at examples of radom experimets ad their correspodig sample spaces, alog

More information

lecture notes September 2, Sequential Choice

lecture notes September 2, Sequential Choice 18.310 lecture otes September 2, 2013 Sequetial Choice Lecturer: Michel Goemas 1 A game Cosider the followig game. I have 100 blak cards. I write dow 100 differet umbers o the cards; I ca choose ay umbers

More information

COLLEGE ALGEBRA LECTURES Copyrights and Author: Kevin Pinegar

COLLEGE ALGEBRA LECTURES Copyrights and Author: Kevin Pinegar OLLEGE ALGEBRA LETURES opyrights ad Author: Kevi iegar 8.3 Advaced outig Techiques: ermutatios Ad ombiatios Factorial Notatio Before we ca discuss permutatio ad combiatio formulas we must itroduce factorial

More information

AQA Level 2 Further mathematics Further algebra. Section 3: Inequalities and indices

AQA Level 2 Further mathematics Further algebra. Section 3: Inequalities and indices AQA Level Further mthemtics Further lgebr Sectio : Iequlities d idices Notes d Emples These otes coti subsectios o Iequlities Lier iequlities Qudrtic iequlities Multiplyig epressios The rules of idices

More information

CS3203 #5. 6/9/04 Janak J Parekh

CS3203 #5. 6/9/04 Janak J Parekh CS3203 #5 6/9/04 Jaak J Parekh Admiistrivia Exam o Moday All slides should be up We ll try ad have solutios for HWs #1 ad #2 out by Friday I kow the HW is due o the same day; ot much I ca do, uless you

More information

Fingerprint Classification Based on Directional Image Constructed Using Wavelet Transform Domains

Fingerprint Classification Based on Directional Image Constructed Using Wavelet Transform Domains 7 Figerprit Classificatio Based o Directioal Image Costructed Usig Wavelet Trasform Domais Musa Mohd Mokji, Syed Abd. Rahma Syed Abu Bakar, Zuwairie Ibrahim 3 Departmet of Microelectroic ad Computer Egieerig

More information

CHAPTER 8 JOINT PAPR REDUCTION AND ICI CANCELLATION IN OFDM SYSTEMS

CHAPTER 8 JOINT PAPR REDUCTION AND ICI CANCELLATION IN OFDM SYSTEMS CHAPTER 8 JOIT PAPR REDUCTIO AD ICI CACELLATIO I OFDM SYSTEMS Itercarrier Iterferece (ICI) is aother major issue i implemetig a OFDM system. As discussed i chapter 3, the OFDM subcarriers are arrowbad

More information

1. How many possible ways are there to form five-letter words using only the letters A H? How many such words consist of five distinct letters?

1. How many possible ways are there to form five-letter words using only the letters A H? How many such words consist of five distinct letters? COMBINATORICS EXERCISES Stepha Wager 1. How may possible ways are there to form five-letter words usig oly the letters A H? How may such words cosist of five distict letters? 2. How may differet umber

More information

Introduction to Wireless Communication Systems ECE 476/ECE 501C/CS 513 Winter 2003

Introduction to Wireless Communication Systems ECE 476/ECE 501C/CS 513 Winter 2003 troductio to Wireless Commuicatio ystems ECE 476/ECE 501C/C 513 Witer 2003 eview for Exam #1 March 4, 2003 Exam Details Must follow seatig chart - Posted 30 miutes before exam. Cheatig will be treated

More information

A generalization of Eulerian numbers via rook placements

A generalization of Eulerian numbers via rook placements A geeralizatio of Euleria umbers via rook placemets Esther Baaia Steve Butler Christopher Cox Jeffrey Davis Jacob Ladgraf Scarlitte Poce Abstract We cosider a geeralizatio of Euleria umbers which cout

More information

Reducing Power Dissipation in Complex Digital Filters by using the Quadratic Residue Number System Λ

Reducing Power Dissipation in Complex Digital Filters by using the Quadratic Residue Number System Λ Reducig Power Dissipatio i Complex Digital Filters by usig the Quadratic Residue Number System Λ Agelo D Amora, Alberto Naarelli, Marco Re ad Gia Carlo Cardarilli Departmet of Electrical Egieerig Uiversity

More information

The Institute of Chartered Accountants of Sri Lanka

The Institute of Chartered Accountants of Sri Lanka The Istitute of Chartered Accoutats of Sri Laka Postgraduate Diploma i Busiess ad Fiace Quatitative Techiques for Busiess Hadout 02:Presetatio ad Aalysis of data Presetatio of Data The Stem ad Leaf Display

More information

Name Class. Date Section. Test Form A Chapter Chapter 9 Infinite Series. 1 n 1 2 n 3n 1, n 1, 2, 3, Find the fourth term of the sequence

Name Class. Date Section. Test Form A Chapter Chapter 9 Infinite Series. 1 n 1 2 n 3n 1, n 1, 2, 3, Find the fourth term of the sequence 8 Chapter 9 Ifiite Series Test Form A Chapter 9 Name Class Date Sectio. Fid the fourth term of the sequece,,,,.... 6 (a) (b) 6 (c) 8 6. Determie if the followig sequece coverges or diverges: If the sequece

More information

On the Number of Permutations on n Objects with. greatest cycle length

On the Number of Permutations on n Objects with. greatest cycle length Ž. ADVANCES IN APPLIED MATHEMATICS 0, 9807 998 ARTICLE NO. AM970567 O the Number of Permutatios o Obects with Greatest Cycle Legth k Solomo W. Golomb ad Peter Gaal Commuicatio Scieces Istitute, Uiersity

More information

High Speed Area Efficient Modulo 2 1

High Speed Area Efficient Modulo 2 1 High Speed Area Efficiet Modulo 2 1 1-Soali Sigh (PG Scholar VLSI, RKDF Ist Bhopal M.P) 2- Mr. Maish Trivedi (HOD EC Departmet, RKDF Ist Bhopal M.P) Adder Abstract Modular adder is oe of the key compoets

More information

Lecture 28: MOSFET as an Amplifier. Small-Signal Equivalent Circuit Models.

Lecture 28: MOSFET as an Amplifier. Small-Signal Equivalent Circuit Models. hites, EE 320 ecture 28 Page 1 of 7 ecture 28: MOSFET as a Amplifier. Small-Sigal Equivalet Circuit Models. As with the BJT, we ca use MOSFETs as AC small-sigal amplifiers. A example is the so-called coceptual

More information

Chapter (6) Discrete Probability Distributions Examples

Chapter (6) Discrete Probability Distributions Examples hapter () Discrete robability Distributios Eamples Eample () Two balaced dice are rolled. Let X be the sum of the two dice. Obtai the probability distributio of X. Solutio Whe the two balaced dice are

More information

Procedia - Social and Behavioral Sciences 128 ( 2014 ) EPC-TKS 2013

Procedia - Social and Behavioral Sciences 128 ( 2014 ) EPC-TKS 2013 Available olie at www.sciecedirect.com ScieceDirect Procedia - Social ad Behavioral Scieces 18 ( 014 ) 399 405 EPC-TKS 013 Iductive derivatio of formulae by a computer Sava Grozdev a *, Veseli Nekov b

More information

Table Of Contents Blues Turnarounds

Table Of Contents Blues Turnarounds Table Of Cotets Blues Turarouds Turaroud #1 Turaroud # Turaroud # Turaroud # Turaroud # Turaroud # Turaroud # Turaroud # Turaroud # Blues Turarouds Blues Soloig Masterclass Week 1 Steve Stie A Blues Turaroud

More information

A New Design of Log-Periodic Dipole Array (LPDA) Antenna

A New Design of Log-Periodic Dipole Array (LPDA) Antenna Joural of Commuicatio Egieerig, Vol., No., Ja.-Jue 0 67 A New Desig of Log-Periodic Dipole Array (LPDA) Atea Javad Ghalibafa, Seyed Mohammad Hashemi, ad Seyed Hassa Sedighy Departmet of Electrical Egieerig,

More information

8. Combinatorial Structures

8. Combinatorial Structures Virtual Laboratories > 0. Foudatios > 1 2 3 4 5 6 7 8 9 8. Combiatorial Structures The purpose of this sectio is to study several combiatorial structures that are of basic importace i probability. Permutatios

More information

13 Legislative Bargaining

13 Legislative Bargaining 1 Legislative Bargaiig Oe of the most popular legislative models is a model due to Baro & Ferejoh (1989). The model has bee used i applicatios where the role of committees have bee studies, how the legislative

More information

A SELECTIVE POINTER FORWARDING STRATEGY FOR LOCATION TRACKING IN PERSONAL COMMUNICATION SYSTEMS

A SELECTIVE POINTER FORWARDING STRATEGY FOR LOCATION TRACKING IN PERSONAL COMMUNICATION SYSTEMS A SELETIVE POINTE FOWADING STATEGY FO LOATION TAKING IN PESONAL OUNIATION SYSTES Seo G. hag ad hae Y. Lee Departmet of Idustrial Egieerig, KAIST 373-, Kusug-Dog, Taejo, Korea, 305-70 cylee@heuristic.kaist.ac.kr

More information

Comparison of Frequency Offset Estimation Methods for OFDM Burst Transmission in the Selective Fading Channels

Comparison of Frequency Offset Estimation Methods for OFDM Burst Transmission in the Selective Fading Channels Compariso of Frequecy Offset Estimatio Methods for OFDM Burst Trasmissio i the Selective Fadig Chaels Zbigiew Długaszewski Istitute of Electroics ad Telecommuicatios Pozań Uiversity of Techology 60-965

More information

RMS WIDTH OF PULSES PROPAGATING IN AN ARBITRARY DISPERSIVE MEDIUM

RMS WIDTH OF PULSES PROPAGATING IN AN ARBITRARY DISPERSIVE MEDIUM RMS WIDTH OF PULSES PROPAGATING IN AN ARBITRARY DISPERSIVE MEDIUM P.- A. Bélaer, A. Gajadharsih COPL, Départemet de Physique, Uiversité Laval. ad C. Paré Istitut Natioal d Optique INO, Québec. Abstract

More information

Department of Electrical and Computer Engineering, Cornell University. ECE 3150: Microelectronics. Spring Due on April 26, 2018 at 7:00 PM

Department of Electrical and Computer Engineering, Cornell University. ECE 3150: Microelectronics. Spring Due on April 26, 2018 at 7:00 PM Departmet of Electrical ad omputer Egieerig, orell Uiersity EE 350: Microelectroics Sprig 08 Homework 0 Due o April 6, 08 at 7:00 PM Suggested Readigs: a) Lecture otes Importat Notes: ) MAKE SURE THAT

More information

BOUNDS FOR OUT DEGREE EQUITABLE DOMINATION NUMBERS IN GRAPHS

BOUNDS FOR OUT DEGREE EQUITABLE DOMINATION NUMBERS IN GRAPHS BULLETIN OF THE INTERNATIONAL MATHEMATICAL VIRTUAL INSTITUTE ISSN 2303-4874 (p), ISSN (o) 2303-4955 www.imvibl.org/bulletin Vol. 3(2013), 149-154 Former BULLETIN OF THE SOCIETY OF MATHEMATICIANS BANJA

More information

THE LUCAS TRIANGLE RECOUNTED. Arthur T. Benjamin Dept. of Mathematics, Harvey Mudd College, Claremont, CA Introduction

THE LUCAS TRIANGLE RECOUNTED. Arthur T. Benjamin Dept. of Mathematics, Harvey Mudd College, Claremont, CA Introduction THE LUCAS TRIANLE RECOUNTED Arthur T Bejami Dept of Mathematics, Harvey Mudd College, Claremot, CA 91711 bejami@hmcedu 1 Itroductio I 2], Neville Robbis explores may properties of the Lucas triagle, a

More information

APPLICATION NOTE UNDERSTANDING EFFECTIVE BITS

APPLICATION NOTE UNDERSTANDING EFFECTIVE BITS APPLICATION NOTE AN95091 INTRODUCTION UNDERSTANDING EFFECTIVE BITS Toy Girard, Sigatec, Desig ad Applicatios Egieer Oe criteria ofte used to evaluate a Aalog to Digital Coverter (ADC) or data acquisitio

More information

VIII. Shell-Voicings

VIII. Shell-Voicings VIII. Shell-Voicigs A. The Cocept The 5th (ad ofte the root as well) ca be omitted from most 7th-chords. Ratioale: Most chords have perfect 5ths. The P5th is also preset as the rd partial i the overtoe

More information

202 Chapter 9 n Go Bot. Hint

202 Chapter 9 n Go Bot. Hint Chapter 9 Go Bot Now it s time to put everythig you have leared so far i this book to good use. I this chapter you will lear how to create your first robotic project, the Go Bot, a four-wheeled robot.

More information

Performance Analysis of Channel Switching with Various Bandwidths in Cognitive Radio

Performance Analysis of Channel Switching with Various Bandwidths in Cognitive Radio Performace Aalysis of Chael Switchig with Various Badwidths i Cogitive Radio Po-Hao Chag, Keg-Fu Chag, Yu-Che Che, ad Li-Kai Ye Departmet of Electrical Egieerig, Natioal Dog Hwa Uiversity, 1,Sec.2, Da-Hsueh

More information

Commonwealth of Pennsylvania PA Test Method No. 6 Department of Transportation October Pages LABORATORY TESTING SECTION. Method of Test for

Commonwealth of Pennsylvania PA Test Method No. 6 Department of Transportation October Pages LABORATORY TESTING SECTION. Method of Test for Commowealth of Pesylvaia PA Test Method No. 6 Departmet of Trasportatio 7 Pages LABORATORY TESTING SECTION Method of Test for DETERMINATION OF PERCENT WITHIN LIMITS (PWL) FOR CONSTRUCTION AGGREGATE 1.

More information

CS 201: Adversary arguments. This handout presents two lower bounds for selection problems using adversary arguments ëknu73,

CS 201: Adversary arguments. This handout presents two lower bounds for selection problems using adversary arguments ëknu73, CS 01 Schlag Jauary 6, 1999 Witer `99 CS 01: Adversary argumets This hadout presets two lower bouds for selectio problems usig adversary argumets ëku73, HS78, FG76ë. I these proofs a imagiary adversary

More information

sible number of wavelengths. The wave~~ngt~ ~ ~ ~ c ~ n b~dwidth is set low eno~gh to interfax One of the most im

sible number of wavelengths. The wave~~ngt~ ~ ~ ~ c ~ n b~dwidth is set low eno~gh to interfax One of the most im sible umber of wavelegths. The wave~~gt~ ~ ~ ~ c ~ b~dwidth is set low eo~gh to iterfax vices. Oe of the most im ed trasmitters ad ysis much more CO "The author is also f Cumputer sciece Departmet, Uiversity

More information

Lab 2: Common Source Amplifier.

Lab 2: Common Source Amplifier. epartet of Electrical ad Coputer Egieerig Fall 1 Lab : Coo Source plifier. 1. OBJECTIVES Study ad characterize Coo Source aplifier: Bias CS ap usig MOSFET curret irror; Measure gai of CS ap with resistive

More information

ELEN 624 Signal Integrity

ELEN 624 Signal Integrity ELEN 624 Sigal Itegrity Lecture 8 Istructor: Ji hao 408-580-7043, jzhao@ieee.org ELEN 624, Fall 2006 W8, 11/06/2006-1 Ageda Homework review S parameter calculatio From time domai ad frequecy domai Some

More information

Intermediate Information Structures

Intermediate Information Structures Modified from Maria s lectures CPSC 335 Itermediate Iformatio Structures LECTURE 11 Compressio ad Huffma Codig Jo Roke Computer Sciece Uiversity of Calgary Caada Lecture Overview Codes ad Optimal Codes

More information

}, how many different strings of length n 1 exist? }, how many different strings of length n 2 exist that contain at least one a 1

}, how many different strings of length n 1 exist? }, how many different strings of length n 2 exist that contain at least one a 1 1. [5] Give sets A ad B, each of cardiality 1, how may fuctios map A i a oe-tooe fashio oto B? 2. [5] a. Give the set of r symbols { a 1, a 2,..., a r }, how may differet strigs of legth 1 exist? [5]b.

More information

AC : USING ELLIPTIC INTEGRALS AND FUNCTIONS TO STUDY LARGE-AMPLITUDE OSCILLATIONS OF A PENDULUM

AC : USING ELLIPTIC INTEGRALS AND FUNCTIONS TO STUDY LARGE-AMPLITUDE OSCILLATIONS OF A PENDULUM AC 007-7: USING ELLIPTIC INTEGRALS AND FUNCTIONS TO STUDY LARGE-AMPLITUDE OSCILLATIONS OF A PENDULUM Josue Njock-Libii, Idiaa Uiversity-Purdue Uiversity-Fort Waye Josué Njock Libii is Associate Professor

More information

COMBINATORICS 2. Recall, in the previous lesson, we looked at Taxicabs machines, which always took the shortest path home

COMBINATORICS 2. Recall, in the previous lesson, we looked at Taxicabs machines, which always took the shortest path home COMBINATORICS BEGINNER CIRCLE 1/0/013 1. ADVANCE TAXICABS Recall, i the previous lesso, we looked at Taxicabs machies, which always took the shortest path home taxipath We couted the umber of ways that

More information

Shuffling Cards. D.J.W. Telkamp. Utrecht University Mathematics Bachelor s Thesis. Supervised by Dr. K. Dajani

Shuffling Cards. D.J.W. Telkamp. Utrecht University Mathematics Bachelor s Thesis. Supervised by Dr. K. Dajani Shufflig Cards Utrecht Uiversity Mathematics Bachelor s Thesis D.J.W. Telkamp Supervised by Dr. K. Dajai Jue 3, 207 Cotets Itroductio 2 2 Prerequisites 2 2. Problems with the variatio distace................

More information

A New Space-Repetition Code Based on One Bit Feedback Compared to Alamouti Space-Time Code

A New Space-Repetition Code Based on One Bit Feedback Compared to Alamouti Space-Time Code Proceedigs of the 4th WSEAS It. Coferece o Electromagetics, Wireless ad Optical Commuicatios, Veice, Italy, November 0-, 006 107 A New Space-Repetitio Code Based o Oe Bit Feedback Compared to Alamouti

More information

2. There are n letter and n addressed envelopes. The probability that all the letters are not kept in the right envelope, is. (c)

2. There are n letter and n addressed envelopes. The probability that all the letters are not kept in the right envelope, is. (c) PAGE # CHAPTER EXERCISE I. A sigle letter is selected at radom from the word PROBABILITY. The probability that the selected letter is a vowel is / / / 0. There are letter ad addressed evelopes. The probability

More information

Math 7 Flipped Mastery Self Tester Worksheet Name: Class:. Chapter 1 (Unit 1) Patterns and Relationships - Accommodated 1.1 Patterns In Division /36

Math 7 Flipped Mastery Self Tester Worksheet Name: Class:. Chapter 1 (Unit 1) Patterns and Relationships - Accommodated 1.1 Patterns In Division /36 Chapter 1 (Uit 1) Patters ad Relatioships - Accommodated 1.1 Patters I Divisio /36 Divisibility Rule Cheats; A whole umber is divisible by 2 if it is a eve umber A whole umber is divisible by 4 if the

More information

ON THE FUNDAMENTAL RELATIONSHIP BETWEEN THE ACHIEVABLE CAPACITY AND DELAY IN MOBILE WIRELESS NETWORKS

ON THE FUNDAMENTAL RELATIONSHIP BETWEEN THE ACHIEVABLE CAPACITY AND DELAY IN MOBILE WIRELESS NETWORKS Chapter ON THE FUNDAMENTAL RELATIONSHIP BETWEEN THE ACHIEVABLE CAPACITY AND DELAY IN MOBILE WIRELESS NETWORKS Xiaoju Li ad Ness B. Shroff School of Electrical ad Computer Egieerig, Purdue Uiversity West

More information

Join a Professional Association

Join a Professional Association Joi a Professioal Associatio 1. The secret job resource: professioal orgaizatios. You may ot kow this, but the career field you re i, or plaig to work i i the future, probably has at least oe professioal

More information

Single Bit DACs in a Nutshell. Part I DAC Basics

Single Bit DACs in a Nutshell. Part I DAC Basics Sigle Bit DACs i a Nutshell Part I DAC Basics By Dave Va Ess, Pricipal Applicatio Egieer, Cypress Semicoductor May embedded applicatios require geeratig aalog outputs uder digital cotrol. It may be a DC

More information

5 Quick Steps to Social Media Marketing

5 Quick Steps to Social Media Marketing 5 Quick Steps to Social Media Marketig Here's a simple guide to creatig goals, choosig what to post, ad trackig progress with cofidece. May of us dive ito social media marketig with high hopes to watch

More information

HOW BAD RECEIVER COORDINATES CAN AFFECT GPS TIMING

HOW BAD RECEIVER COORDINATES CAN AFFECT GPS TIMING HOW BAD RECEIVER COORDINATES CAN AFFECT GPS TIMING H. Chadsey U.S. Naval Observatory Washigto, D.C. 2392 Abstract May sources of error are possible whe GPS is used for time comparisos. Some of these mo

More information

Laboratory Exercise 3: Dynamic System Response Laboratory Handout AME 250: Fundamentals of Measurements and Data Analysis

Laboratory Exercise 3: Dynamic System Response Laboratory Handout AME 250: Fundamentals of Measurements and Data Analysis Laboratory Exercise 3: Dyamic System Respose Laboratory Hadout AME 50: Fudametals of Measuremets ad Data Aalysis Prepared by: Matthew Beigto Date exercises to be performed: Deliverables: Part I 1) Usig

More information

A Novel Small Signal Power Line Quality Measurement System

A Novel Small Signal Power Line Quality Measurement System IMTC 3 - Istrumetatio ad Measuremet Techology Coferece Vail, CO, USA, - May 3 A ovel Small Sigal Power Lie Quality Measuremet System Paul B. Crilly, Erik Leadro Boaldi, Levy Ely de Lacarda de Oliveira,

More information

11.11 Two-Channel Filter Banks 1/27

11.11 Two-Channel Filter Banks 1/27 . Two-Chael Filter Baks /7 Two-Chael Filter Baks M We wat to look at methods that are ot based o the DFT I geeral we wat to look at Fig..6 rom Porat ad igure out how to choose i & i to get Perect Reco

More information

BOTTLENECK BRANCH MARKING FOR NOISE CONSOLIDATION

BOTTLENECK BRANCH MARKING FOR NOISE CONSOLIDATION BOTTLENECK BRANCH MARKING FOR NOISE CONSOLIDATION IN MULTICAST NETWORKS Jordi Ros, Wei K. Tsai ad Mahadeve Iyer Departmet of Electrical ad Computer Egieerig Uiversity of Califoria, Irvie, CA 92697 {jros,

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 3 Sigals & Systems Prof. Mark Fowler Note Set #6 D-T Systems: DTFT Aalysis of DT Systems Readig Assigmet: Sectios 5.5 & 5.6 of Kame ad Heck / Course Flow Diagram The arrows here show coceptual flow

More information

Simulation of Laser Manipulation of Bloch. Vector in Adiabatic Regime

Simulation of Laser Manipulation of Bloch. Vector in Adiabatic Regime Advaces i Applied Physics, Vol. 2, 214, o. 2, 53-63 HIKAI Ltd, www.m-hikari.com http://dx.doi.org/1.12988/aap.214.4113 Simulatio of Laser Maipulatio of Bloch Vector i Adiabatic egime yuzi Yao Murora Istitute

More information

Cross-Layer Performance of a Distributed Real-Time MAC Protocol Supporting Variable Bit Rate Multiclass Services in WPANs

Cross-Layer Performance of a Distributed Real-Time MAC Protocol Supporting Variable Bit Rate Multiclass Services in WPANs Cross-Layer Performace of a Distributed Real-Time MAC Protocol Supportig Variable Bit Rate Multiclass Services i WPANs David Tug Chog Wog, Jo W. Ma, ad ee Chaig Chua 3 Istitute for Ifocomm Research, Heg

More information

Arithmetic Sequences and Series Sequences and Series Preliminary Maths

Arithmetic Sequences and Series Sequences and Series Preliminary Maths Arithmetic Sequeces ad Series Arithmetic Sequeces ad Series Sequeces ad Series Prelimiary Maths www.primeeducatio.com.au Arithmetic Sequeces ad Series Sequeces ad Series 1 Questio 1 The first 5 terms of

More information

Problem of calculating time delay between pulse arrivals

Problem of calculating time delay between pulse arrivals America Joural of Egieerig Research (AJER) 5 America Joural of Egieerig Research (AJER) e-issn: 3-847 p-issn : 3-936 Volume-4, Issue-4, pp-3-4 www.ajer.org Research Paper Problem of calculatig time delay

More information

Dividing Connected Chores Fairly

Dividing Connected Chores Fairly Dividig Coected Chores Fairly Sady Heydrich a,b, Rob va Stee c, a Max Plack Istitute for Iformatics, Saarbrücke, Germay b Saarbrücke Graduate School of Computer Sciece, Germay c Uiversity of Leicester,

More information

Methods to Reduce Arc-Flash Hazards

Methods to Reduce Arc-Flash Hazards Methods to Reduce Arc-Flash Hazards Exercise: Implemetig Istataeous Settigs for a Maiteace Mode Scheme Below is a oe-lie diagram of a substatio with a mai ad two feeders. Because there is virtually o differece

More information

GENERALIZED FORM OF A 4X4 STRONGLY MAGIC SQUARE

GENERALIZED FORM OF A 4X4 STRONGLY MAGIC SQUARE IJMMS, Vol. 1, No. Geeralized 1, (Jauary-Jue Form 016):87-9 of A 4x4 Strogly Magic Square Serials Publicatios 87 ISSN: 0973-339 GENERALIZED FORM OF A 4X4 STRONGLY MAGIC SQUARE Neeradha. C. K, ad Dr. V.

More information

SHORT-TERM TRAVEL TIME PREDICTION USING A NEURAL NETWORK

SHORT-TERM TRAVEL TIME PREDICTION USING A NEURAL NETWORK SHORT-TERM TRAVEL TIME PREDICTION USING A NEURAL NETWORK Giovai Huiske ad Eric va Berkum Dept. of Civil Egieerig - Uiversity of Twete - 7500 AE Eschede - The Netherlads E-mail: g.huiske@ctw.utwete.l ad

More information

Western Number Theory Problems, 17 & 19 Dec 2016

Western Number Theory Problems, 17 & 19 Dec 2016 Wester Number Theory Problems, 7 & 9 Dec 6 for distributio prior to 7 (Pacific Grove) meetig Edited by Gerry Myerso based o otes by Kjell Woodig Summary of earlier meetigs & problem sets with old (pre

More information

CHAPTER 6 IMPLEMENTATION OF DIGITAL FIR FILTER

CHAPTER 6 IMPLEMENTATION OF DIGITAL FIR FILTER CHAPTER 6 IMPLEMENTATION OF DIGITAL FIR FILTER 6.1 INTRODUCTION The digital FIR filters are commo compoets i may digital sigal processig (DSP) systems. There are various applicatios like high speed/low

More information

AS Exercise A: The multiplication principle. Probability using permutations and combinations. Multiplication principle. Example.

AS Exercise A: The multiplication principle. Probability using permutations and combinations. Multiplication principle. Example. Probability usig permutatios ad combiatios Multiplicatio priciple If A ca be doe i ways, ad B ca be doe i m ways, the A followed by B ca be doe i m ways. 1. A die ad a coi are throw together. How may results

More information

Sapana P. Dubey. (Department of applied mathematics,piet, Nagpur,India) I. INTRODUCTION

Sapana P. Dubey. (Department of applied mathematics,piet, Nagpur,India) I. INTRODUCTION IOSR Joural of Mathematics (IOSR-JM) www.iosrjourals.org COMPETITION IN COMMUNICATION NETWORK: A GAME WITH PENALTY Sapaa P. Dubey (Departmet of applied mathematics,piet, Nagpur,Idia) ABSTRACT : We are

More information